nohup: ignoring input
Starting run with config: mario/grid_search_path.yaml
Rodando
🦥 Unsloth: Will patch your computer to enable 2x faster free finetuning.
🦥 Unsloth Zoo will now patch everything to make training faster!
Loaded 17071 levels from evaluation dataset
Starting grid search...

===== Processing Split: str_window_vertical_newline =====

===== Processing Subset: path_snake =====

Generating str_window split:   0%|          | 0/17071 [00:00<?, ? examples/s]
Generating str_window split: 100%|██████████| 17071/17071 [00:00<00:00, 601335.04 examples/s]

Generating str_window_bar split:   0%|          | 0/17071 [00:00<?, ? examples/s]
Generating str_window_bar split: 100%|██████████| 17071/17071 [00:00<00:00, 788695.84 examples/s]

Generating str_window_newline split:   0%|          | 0/17071 [00:00<?, ? examples/s]
Generating str_window_newline split: 100%|██████████| 17071/17071 [00:00<00:00, 886271.20 examples/s]

Generating str_window_vertical split:   0%|          | 0/17071 [00:00<?, ? examples/s]
Generating str_window_vertical split: 100%|██████████| 17071/17071 [00:00<00:00, 1090082.27 examples/s]

Generating str_window_vertical_bar split:   0%|          | 0/17071 [00:00<?, ? examples/s]
Generating str_window_vertical_bar split: 100%|██████████| 17071/17071 [00:00<00:00, 996700.40 examples/s]

Generating str_window_vertical_newline split:   0%|          | 0/17071 [00:00<?, ? examples/s]
Generating str_window_vertical_newline split: 100%|██████████| 17071/17071 [00:00<00:00, 1151066.87 examples/s]

Generating str_window_single split:   0%|          | 0/17071 [00:00<?, ? examples/s]
Generating str_window_single split: 100%|██████████| 17071/17071 [00:00<00:00, 260984.96 examples/s]

Generating str_window_single_vertical split:   0%|          | 0/17071 [00:00<?, ? examples/s]
Generating str_window_single_vertical split: 100%|██████████| 17071/17071 [00:00<00:00, 313592.31 examples/s]

Generating str_window_single_newline split:   0%|          | 0/17071 [00:00<?, ? examples/s]
Generating str_window_single_newline split: 100%|██████████| 17071/17071 [00:00<00:00, 337930.08 examples/s]

Generating str_window_single_vertical_newline split:   0%|          | 0/17071 [00:00<?, ? examples/s]
Generating str_window_single_vertical_newline split: 100%|██████████| 17071/17071 [00:00<00:00, 419981.49 examples/s]
Dataset Loaded for str_window_vertical_newline - Subset: path_snake

Unsloth: Standardizing formats (num_proc=224):   0%|          | 0/17071 [00:00<?, ? examples/s]
Unsloth: Standardizing formats (num_proc=224):   0%|          | 77/17071 [00:03<13:03, 21.69 examples/s]
Unsloth: Standardizing formats (num_proc=224):  24%|██▍       | 4068/17071 [00:03<00:08, 1564.31 examples/s]
Unsloth: Standardizing formats (num_proc=224):  42%|████▏     | 7189/17071 [00:03<00:03, 3095.72 examples/s]
Unsloth: Standardizing formats (num_proc=224):  62%|██████▏   | 10534/17071 [00:03<00:01, 5186.86 examples/s]
Unsloth: Standardizing formats (num_proc=224):  79%|███████▊  | 13423/17071 [00:03<00:00, 7187.95 examples/s]
Unsloth: Standardizing formats (num_proc=224):  95%|█████████▌| 16235/17071 [00:04<00:00, 9519.99 examples/s]
Unsloth: Standardizing formats (num_proc=224): 100%|██████████| 17071/17071 [00:04<00:00, 3617.50 examples/s]
Unsloth: Dropout = 0 is supported for fast patching. You are using dropout = 0.05.
Unsloth will patch all other layers, except LoRA matrices, causing a performance hit.
Unsloth 2025.12.8 patched 28 layers with 0 QKV layers, 0 O layers and 0 MLP layers.

--- Processing Model Family: qwen2.5 ---

- Model: unsloth/Qwen2.5-7B-Instruct-bnb-4bit
- LoRA Pair: r=128, alpha=128
- Other Params: {'num_train_epochs': 1, 'train_on_responses_only': True}
Run Name: mario_sft_dataset_numbers_v2.1_str_window_vertical_newline-Qwen2.5-7B-Inst-resp-r128-a128-e1-1287
==((====))==  Unsloth 2025.12.8: Fast Qwen2 patching. Transformers: 4.57.3.
   \\   /|    NVIDIA H100 80GB HBM3. Num GPUs = 1. Max memory: 79.189 GB. Platform: Linux.
O^O/ \_/ \    Torch: 2.9.1+cu128. CUDA: 9.0. CUDA Toolkit: 12.8. Triton: 3.5.1
\        /    Bfloat16 = TRUE. FA [Xformers = 0.0.33.post2. FA2 = False]
 "-____-"     Free license: http://github.com/unslothai/unsloth
Unsloth: Fast downloading is enabled - ignore downloading bars which are red colored!

Unsloth: Standardizing formats (num_proc=224):   0%|          | 0/17071 [00:00<?, ? examples/s]
Unsloth: Standardizing formats (num_proc=224):   0%|          | 77/17071 [00:15<56:23,  5.02 examples/s]
Unsloth: Standardizing formats (num_proc=224):  18%|█▊        | 3154/17071 [00:15<00:48, 289.00 examples/s]
Unsloth: Standardizing formats (num_proc=224):  37%|███▋      | 6278/17071 [00:15<00:15, 691.81 examples/s]
Unsloth: Standardizing formats (num_proc=224):  55%|█████▌    | 9394/17071 [00:15<00:06, 1244.08 examples/s]
Unsloth: Standardizing formats (num_proc=224):  72%|███████▏  | 12283/17071 [00:15<00:02, 1923.06 examples/s]
Unsloth: Standardizing formats (num_proc=224):  87%|████████▋ | 14867/17071 [00:15<00:00, 2710.34 examples/s]
Unsloth: Standardizing formats (num_proc=224): 100%|██████████| 17071/17071 [00:16<00:00, 1020.51 examples/s]

Map:   0%|          | 0/17071 [00:00<?, ? examples/s]
Map:  18%|█▊        | 3000/17071 [00:00<00:00, 23514.36 examples/s]
Map:  41%|████      | 7000/17071 [00:00<00:00, 27633.56 examples/s]
Map:  64%|██████▍   | 11000/17071 [00:00<00:00, 28957.30 examples/s]
Map:  88%|████████▊ | 15000/17071 [00:00<00:00, 28714.46 examples/s]
Map: 100%|██████████| 17071/17071 [00:00<00:00, 27999.48 examples/s]

Unsloth: Tokenizing ["text"] (num_proc=228):   0%|          | 0/17071 [00:00<?, ? examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):   0%|          | 75/17071 [00:16<1:01:06,  4.64 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):   1%|▏         | 225/17071 [00:16<15:53, 17.66 examples/s] 
Unsloth: Tokenizing ["text"] (num_proc=228):   3%|▎         | 450/17071 [00:16<06:11, 44.72 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):   4%|▎         | 600/17071 [00:16<04:05, 67.19 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):   4%|▍         | 750/17071 [00:16<02:43, 99.92 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):   5%|▌         | 900/17071 [00:17<01:57, 138.17 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):   6%|▌         | 1050/17071 [00:17<01:25, 187.42 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):   7%|▋         | 1200/17071 [00:17<01:03, 248.24 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):   8%|▊         | 1350/17071 [00:17<00:50, 308.61 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):   9%|▉         | 1500/17071 [00:18<00:43, 361.58 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):   9%|▉         | 1575/17071 [00:18<00:40, 381.18 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  10%|█         | 1725/17071 [00:18<00:35, 428.00 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  11%|█         | 1800/17071 [00:18<00:33, 452.71 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  11%|█▏        | 1950/17071 [00:18<00:27, 552.98 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  12%|█▏        | 2025/17071 [00:18<00:28, 533.01 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  12%|█▏        | 2100/17071 [00:19<00:29, 514.22 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  13%|█▎        | 2250/17071 [00:19<00:30, 493.72 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  14%|█▍        | 2400/17071 [00:19<00:24, 594.79 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  15%|█▍        | 2550/17071 [00:19<00:21, 662.04 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  16%|█▌        | 2700/17071 [00:19<00:19, 739.64 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  17%|█▋        | 2850/17071 [00:20<00:18, 786.51 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  18%|█▊        | 3000/17071 [00:20<00:16, 842.26 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  18%|█▊        | 3150/17071 [00:20<00:15, 905.69 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  19%|█▉        | 3300/17071 [00:20<00:14, 918.73 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  21%|██        | 3525/17071 [00:20<00:12, 1067.51 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  22%|██▏       | 3675/17071 [00:20<00:13, 979.22 examples/s] 
Unsloth: Tokenizing ["text"] (num_proc=228):  22%|██▏       | 3825/17071 [00:20<00:13, 1001.74 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  23%|██▎       | 3975/17071 [00:21<00:14, 911.14 examples/s] 
Unsloth: Tokenizing ["text"] (num_proc=228):  24%|██▍       | 4125/17071 [00:21<00:17, 732.77 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  25%|██▌       | 4275/17071 [00:21<00:16, 773.95 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  26%|██▌       | 4425/17071 [00:21<00:15, 823.47 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  27%|██▋       | 4575/17071 [00:22<00:16, 757.64 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  28%|██▊       | 4725/17071 [00:22<00:16, 750.05 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  29%|██▊       | 4875/17071 [00:22<00:18, 645.17 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  29%|██▉       | 5025/17071 [00:22<00:17, 679.53 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  30%|██▉       | 5100/17071 [00:22<00:17, 673.77 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  30%|███       | 5175/17071 [00:22<00:19, 620.60 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  31%|███       | 5250/17071 [00:23<00:20, 566.89 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  31%|███       | 5325/17071 [00:23<00:21, 538.71 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  32%|███▏      | 5400/17071 [00:23<00:22, 523.86 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  33%|███▎      | 5550/17071 [00:23<00:20, 570.68 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  33%|███▎      | 5700/17071 [00:23<00:17, 647.01 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  34%|███▍      | 5850/17071 [00:23<00:13, 806.69 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  35%|███▌      | 6000/17071 [00:24<00:13, 792.58 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  36%|███▌      | 6150/17071 [00:24<00:12, 903.68 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  37%|███▋      | 6300/17071 [00:24<00:12, 889.96 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  38%|███▊      | 6450/17071 [00:24<00:15, 688.56 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  39%|███▊      | 6600/17071 [00:24<00:13, 765.05 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  40%|███▉      | 6750/17071 [00:25<00:14, 694.10 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  40%|████      | 6900/17071 [00:25<00:14, 691.56 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  41%|████▏     | 7050/17071 [00:25<00:14, 708.00 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  42%|████▏     | 7200/17071 [00:25<00:15, 623.08 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  43%|████▎     | 7425/17071 [00:26<00:13, 726.47 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  44%|████▍     | 7575/17071 [00:26<00:13, 698.47 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  45%|████▌     | 7725/17071 [00:26<00:12, 739.47 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  46%|████▌     | 7875/17071 [00:26<00:13, 687.79 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  47%|████▋     | 8025/17071 [00:27<00:14, 605.12 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  48%|████▊     | 8250/17071 [00:27<00:12, 702.14 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  49%|████▉     | 8400/17071 [00:27<00:11, 775.71 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  51%|█████     | 8625/17071 [00:27<00:09, 848.72 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  51%|█████▏    | 8775/17071 [00:27<00:09, 890.07 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  52%|█████▏    | 8925/17071 [00:28<00:09, 889.77 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  54%|█████▎    | 9150/17071 [00:28<00:07, 1054.77 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  54%|█████▍    | 9300/17071 [00:28<00:07, 1018.41 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  55%|█████▌    | 9450/17071 [00:28<00:08, 875.80 examples/s] 
Unsloth: Tokenizing ["text"] (num_proc=228):  56%|█████▌    | 9600/17071 [00:28<00:07, 950.13 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  57%|█████▋    | 9750/17071 [00:28<00:08, 904.14 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  58%|█████▊    | 9900/17071 [00:29<00:08, 819.36 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  59%|█████▉    | 10050/17071 [00:29<00:09, 706.90 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  60%|█████▉    | 10200/17071 [00:29<00:08, 820.96 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  61%|██████    | 10350/17071 [00:29<00:09, 704.41 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  62%|██████▏   | 10500/17071 [00:29<00:08, 774.20 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  62%|██████▏   | 10650/17071 [00:30<00:10, 637.15 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  63%|██████▎   | 10800/17071 [00:30<00:10, 594.46 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  64%|██████▎   | 10875/17071 [00:30<00:10, 610.42 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  64%|██████▍   | 10950/17071 [00:30<00:10, 587.29 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  65%|██████▍   | 11025/17071 [00:30<00:10, 578.69 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  65%|██████▌   | 11175/17071 [00:31<00:08, 686.63 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  66%|██████▌   | 11250/17071 [00:31<00:09, 620.63 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  67%|██████▋   | 11400/17071 [00:31<00:10, 564.57 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  68%|██████▊   | 11550/17071 [00:31<00:08, 667.13 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  69%|██████▊   | 11700/17071 [00:31<00:07, 749.27 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  70%|██████▉   | 11925/17071 [00:32<00:05, 917.38 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  71%|███████   | 12075/17071 [00:32<00:05, 842.77 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  72%|███████▏  | 12225/17071 [00:32<00:05, 879.74 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  72%|███████▏  | 12375/17071 [00:32<00:05, 901.70 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  73%|███████▎  | 12525/17071 [00:32<00:04, 928.66 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  74%|███████▍  | 12675/17071 [00:32<00:04, 945.40 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  75%|███████▌  | 12825/17071 [00:33<00:04, 937.19 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  76%|███████▌  | 12975/17071 [00:33<00:04, 951.31 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  77%|███████▋  | 13125/17071 [00:33<00:04, 957.43 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  78%|███████▊  | 13350/17071 [00:33<00:03, 1081.70 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  79%|███████▉  | 13500/17071 [00:33<00:03, 1039.71 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  80%|███████▉  | 13650/17071 [00:33<00:03, 927.26 examples/s] 
Unsloth: Tokenizing ["text"] (num_proc=228):  81%|████████  | 13800/17071 [00:34<00:03, 897.14 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  82%|████████▏ | 13950/17071 [00:34<00:04, 778.68 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  83%|████████▎ | 14100/17071 [00:34<00:03, 806.78 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  83%|████████▎ | 14250/17071 [00:34<00:03, 825.60 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  84%|████████▍ | 14400/17071 [00:35<00:04, 656.81 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  85%|████████▍ | 14475/17071 [00:35<00:04, 633.76 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  86%|████████▌ | 14625/17071 [00:35<00:03, 636.95 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  86%|████████▌ | 14700/17071 [00:35<00:04, 587.23 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  87%|████████▋ | 14850/17071 [00:35<00:03, 688.00 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  88%|████████▊ | 14999/17071 [00:35<00:02, 752.72 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  89%|████████▉ | 15221/17071 [00:36<00:01, 941.95 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  90%|█████████ | 15369/17071 [00:36<00:02, 834.65 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  91%|█████████▏| 15591/17071 [00:36<00:01, 972.75 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  92%|█████████▏| 15739/17071 [00:36<00:01, 876.95 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  93%|█████████▎| 15887/17071 [00:36<00:01, 920.12 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  94%|█████████▍| 16035/17071 [00:36<00:01, 870.13 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  95%|█████████▍| 16183/17071 [00:37<00:01, 835.37 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  96%|█████████▌| 16331/17071 [00:37<00:01, 725.91 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  97%|█████████▋| 16479/17071 [00:37<00:00, 758.94 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  97%|█████████▋| 16627/17071 [00:37<00:00, 794.75 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  98%|█████████▊| 16775/17071 [00:37<00:00, 796.48 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  99%|█████████▉| 16923/17071 [00:38<00:00, 836.08 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228): 100%|██████████| 17071/17071 [00:38<00:00, 889.78 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228): 100%|██████████| 17071/17071 [00:39<00:00, 426.88 examples/s]

Map (num_proc=64):   0%|          | 0/17071 [00:00<?, ? examples/s]
Map (num_proc=64):   2%|▏         | 267/17071 [00:05<05:37, 49.84 examples/s]
Map (num_proc=64):  11%|█         | 1869/17071 [00:05<00:32, 464.59 examples/s]
Map (num_proc=64):  58%|█████▊    | 9879/17071 [00:05<00:02, 3313.39 examples/s]
Map (num_proc=64):  94%|█████████▍| 16007/17071 [00:05<00:00, 6131.57 examples/s]
Map (num_proc=64): 100%|██████████| 17071/17071 [00:05<00:00, 2855.80 examples/s]
The model is already on multiple devices. Skipping the move to device specified in `args`.
==((====))==  Unsloth - 2x faster free finetuning | Num GPUs used = 1
   \\   /|    Num examples = 17,071 | Num Epochs = 1 | Total steps = 2,134
O^O/ \_/ \    Batch size per device = 2 | Gradient accumulation steps = 4
\        /    Data Parallel GPUs = 1 | Total batch size (2 x 4 x 1) = 8
 "-____-"     Trainable parameters = 322,961,408 of 7,938,577,920 (4.07% trained)
Starting training for run: mario_sft_dataset_numbers_v2.1_str_window_vertical_newline-Qwen2.5-7B-Inst-resp-r128-a128-e1-1287

  0%|          | 0/2134 [00:00<?, ?it/s]
  0%|          | 1/2134 [00:04<2:40:18,  4.51s/it]
                                                  

  0%|          | 1/2134 [00:04<2:40:18,  4.51s/it]
  0%|          | 2/2134 [00:05<1:30:06,  2.54s/it]
                                                  

  0%|          | 2/2134 [00:05<1:30:06,  2.54s/it]
  0%|          | 3/2134 [00:06<1:09:09,  1.95s/it]
                                                  

  0%|          | 3/2134 [00:06<1:09:09,  1.95s/it]
  0%|          | 4/2134 [00:07<55:49,  1.57s/it]  
                                                

  0%|          | 4/2134 [00:07<55:49,  1.57s/it]
  0%|          | 5/2134 [00:08<47:58,  1.35s/it]
                                                

  0%|          | 5/2134 [00:08<47:58,  1.35s/it]
  0%|          | 6/2134 [00:09<43:47,  1.23s/it]
                                                

  0%|          | 6/2134 [00:09<43:47,  1.23s/it]
  0%|          | 7/2134 [00:10<41:18,  1.17s/it]
                                                

  0%|          | 7/2134 [00:10<41:18,  1.17s/it]
  0%|          | 8/2134 [00:11<39:29,  1.11s/it]
                                                

  0%|          | 8/2134 [00:11<39:29,  1.11s/it]
  0%|          | 9/2134 [00:12<37:59,  1.07s/it]
                                                

  0%|          | 9/2134 [00:12<37:59,  1.07s/it]
  0%|          | 10/2134 [00:13<36:58,  1.04s/it]
                                                 

  0%|          | 10/2134 [00:13<36:58,  1.04s/it]
  1%|          | 11/2134 [00:14<36:28,  1.03s/it]
                                                 

  1%|          | 11/2134 [00:14<36:28,  1.03s/it]
  1%|          | 12/2134 [00:15<35:41,  1.01s/it]
                                                 

  1%|          | 12/2134 [00:15<35:41,  1.01s/it]
  1%|          | 13/2134 [00:16<35:17,  1.00it/s]
                                                 

  1%|          | 13/2134 [00:16<35:17,  1.00it/s]
  1%|          | 14/2134 [00:17<35:23,  1.00s/it]
                                                 

  1%|          | 14/2134 [00:17<35:23,  1.00s/it]
  1%|          | 15/2134 [00:18<35:28,  1.00s/it]
                                                 

  1%|          | 15/2134 [00:18<35:28,  1.00s/it]
  1%|          | 16/2134 [00:19<35:05,  1.01it/s]
                                                 

  1%|          | 16/2134 [00:19<35:05,  1.01it/s]
  1%|          | 17/2134 [00:20<34:45,  1.02it/s]
                                                 

  1%|          | 17/2134 [00:20<34:45,  1.02it/s]
  1%|          | 18/2134 [00:21<34:38,  1.02it/s]
                                                 

  1%|          | 18/2134 [00:21<34:38,  1.02it/s]
  1%|          | 19/2134 [00:22<34:39,  1.02it/s]
                                                 

  1%|          | 19/2134 [00:22<34:39,  1.02it/s]
  1%|          | 20/2134 [00:24<38:50,  1.10s/it]
                                                 

  1%|          | 20/2134 [00:24<38:50,  1.10s/it]
  1%|          | 21/2134 [00:25<41:04,  1.17s/it]
                                                 

  1%|          | 21/2134 [00:25<41:04,  1.17s/it]
  1%|          | 22/2134 [00:26<44:25,  1.26s/it]
                                                 

  1%|          | 22/2134 [00:26<44:25,  1.26s/it]
  1%|          | 23/2134 [00:28<43:07,  1.23s/it]
                                                 

  1%|          | 23/2134 [00:28<43:07,  1.23s/it]
  1%|          | 24/2134 [00:28<39:57,  1.14s/it]
                                                 

  1%|          | 24/2134 [00:28<39:57,  1.14s/it]
  1%|          | 25/2134 [00:43<3:02:42,  5.20s/it]
                                                   

  1%|          | 25/2134 [00:43<3:02:42,  5.20s/it]
  1%|          | 26/2134 [00:44<2:18:03,  3.93s/it]
                                                   

  1%|          | 26/2134 [00:44<2:18:03,  3.93s/it]
  1%|▏         | 27/2134 [00:45<1:47:07,  3.05s/it]
                                                   

  1%|▏         | 27/2134 [00:45<1:47:07,  3.05s/it]
  1%|▏         | 28/2134 [00:46<1:25:43,  2.44s/it]
                                                   

  1%|▏         | 28/2134 [00:46<1:25:43,  2.44s/it]
  1%|▏         | 29/2134 [00:47<1:10:20,  2.01s/it]
                                                   

  1%|▏         | 29/2134 [00:47<1:10:20,  2.01s/it]
  1%|▏         | 30/2134 [00:48<1:00:10,  1.72s/it]
                                                   

  1%|▏         | 30/2134 [00:48<1:00:10,  1.72s/it]
  1%|▏         | 31/2134 [00:49<52:37,  1.50s/it]  
                                                 

  1%|▏         | 31/2134 [00:49<52:37,  1.50s/it]
  1%|▏         | 32/2134 [00:50<47:44,  1.36s/it]
                                                 

  1%|▏         | 32/2134 [00:50<47:44,  1.36s/it]
  2%|▏         | 33/2134 [00:51<44:09,  1.26s/it]
                                                 

  2%|▏         | 33/2134 [00:51<44:09,  1.26s/it]
  2%|▏         | 34/2134 [00:52<41:28,  1.19s/it]
                                                 

  2%|▏         | 34/2134 [00:52<41:28,  1.19s/it]
  2%|▏         | 35/2134 [00:53<39:32,  1.13s/it]
                                                 

  2%|▏         | 35/2134 [00:53<39:32,  1.13s/it]
  2%|▏         | 36/2134 [00:54<38:34,  1.10s/it]
                                                 

  2%|▏         | 36/2134 [00:54<38:34,  1.10s/it]
  2%|▏         | 37/2134 [00:55<37:48,  1.08s/it]
                                                 

  2%|▏         | 37/2134 [00:55<37:48,  1.08s/it]
  2%|▏         | 38/2134 [00:56<36:54,  1.06s/it]
                                                 

  2%|▏         | 38/2134 [00:56<36:54,  1.06s/it]
  2%|▏         | 39/2134 [00:57<36:24,  1.04s/it]
                                                 

  2%|▏         | 39/2134 [00:57<36:24,  1.04s/it]
  2%|▏         | 40/2134 [00:58<35:26,  1.02s/it]
                                                 

  2%|▏         | 40/2134 [00:58<35:26,  1.02s/it]
  2%|▏         | 41/2134 [01:00<38:12,  1.10s/it]
                                                 

  2%|▏         | 41/2134 [01:00<38:12,  1.10s/it]
  2%|▏         | 42/2134 [01:01<39:48,  1.14s/it]
                                                 

  2%|▏         | 42/2134 [01:01<39:48,  1.14s/it]
  2%|▏         | 43/2134 [01:02<41:27,  1.19s/it]
                                                 

  2%|▏         | 43/2134 [01:02<41:27,  1.19s/it]
  2%|▏         | 44/2134 [01:03<41:50,  1.20s/it]
                                                 

  2%|▏         | 44/2134 [01:03<41:50,  1.20s/it]
  2%|▏         | 45/2134 [01:04<39:53,  1.15s/it]
                                                 

  2%|▏         | 45/2134 [01:04<39:53,  1.15s/it]
  2%|▏         | 46/2134 [01:05<37:49,  1.09s/it]
                                                 

  2%|▏         | 46/2134 [01:05<37:49,  1.09s/it]
  2%|▏         | 47/2134 [01:06<35:47,  1.03s/it]
                                                 

  2%|▏         | 47/2134 [01:06<35:47,  1.03s/it]
  2%|▏         | 48/2134 [01:07<34:57,  1.01s/it]
                                                 

  2%|▏         | 48/2134 [01:07<34:57,  1.01s/it]
  2%|▏         | 49/2134 [01:08<34:18,  1.01it/s]
                                                 

  2%|▏         | 49/2134 [01:08<34:18,  1.01it/s]
  2%|▏         | 50/2134 [01:22<2:53:56,  5.01s/it]
                                                   

  2%|▏         | 50/2134 [01:22<2:53:56,  5.01s/it]
  2%|▏         | 51/2134 [01:23<2:11:04,  3.78s/it]
                                                   

  2%|▏         | 51/2134 [01:23<2:11:04,  3.78s/it]
  2%|▏         | 52/2134 [01:24<1:41:00,  2.91s/it]
                                                   

  2%|▏         | 52/2134 [01:24<1:41:00,  2.91s/it]
  2%|▏         | 53/2134 [01:25<1:20:27,  2.32s/it]
                                                   

  2%|▏         | 53/2134 [01:25<1:20:27,  2.32s/it]
  3%|▎         | 54/2134 [01:26<1:05:59,  1.90s/it]
                                                   

  3%|▎         | 54/2134 [01:26<1:05:59,  1.90s/it]
  3%|▎         | 55/2134 [01:27<56:44,  1.64s/it]  
                                                 

  3%|▎         | 55/2134 [01:27<56:44,  1.64s/it]
  3%|▎         | 56/2134 [01:28<49:39,  1.43s/it]
                                                 

  3%|▎         | 56/2134 [01:28<49:39,  1.43s/it]
  3%|▎         | 57/2134 [01:29<44:23,  1.28s/it]
                                                 

  3%|▎         | 57/2134 [01:29<44:23,  1.28s/it]
  3%|▎         | 58/2134 [01:30<41:13,  1.19s/it]
                                                 

  3%|▎         | 58/2134 [01:30<41:13,  1.19s/it]
  3%|▎         | 59/2134 [01:31<38:24,  1.11s/it]
                                                 

  3%|▎         | 59/2134 [01:31<38:24,  1.11s/it]
  3%|▎         | 60/2134 [01:32<37:05,  1.07s/it]
                                                 

  3%|▎         | 60/2134 [01:32<37:05,  1.07s/it]
  3%|▎         | 61/2134 [01:34<45:15,  1.31s/it]
                                                 

  3%|▎         | 61/2134 [01:34<45:15,  1.31s/it]
  3%|▎         | 62/2134 [01:36<49:34,  1.44s/it]
                                                 

  3%|▎         | 62/2134 [01:36<49:34,  1.44s/it]
  3%|▎         | 63/2134 [01:37<49:21,  1.43s/it]
                                                 

  3%|▎         | 63/2134 [01:37<49:21,  1.43s/it]
  3%|▎         | 64/2134 [01:38<44:16,  1.28s/it]
                                                 

  3%|▎         | 64/2134 [01:38<44:16,  1.28s/it]
  3%|▎         | 65/2134 [01:39<40:48,  1.18s/it]
                                                 

  3%|▎         | 65/2134 [01:39<40:48,  1.18s/it]
  3%|▎         | 66/2134 [01:40<38:31,  1.12s/it]
                                                 

  3%|▎         | 66/2134 [01:40<38:31,  1.12s/it]
  3%|▎         | 67/2134 [01:41<36:49,  1.07s/it]
                                                 

  3%|▎         | 67/2134 [01:41<36:49,  1.07s/it]
  3%|▎         | 68/2134 [01:42<35:19,  1.03s/it]
                                                 

  3%|▎         | 68/2134 [01:42<35:19,  1.03s/it]
  3%|▎         | 69/2134 [01:43<34:32,  1.00s/it]
                                                 

  3%|▎         | 69/2134 [01:43<34:32,  1.00s/it]
  3%|▎         | 70/2134 [01:44<34:15,  1.00it/s]
                                                 

  3%|▎         | 70/2134 [01:44<34:15,  1.00it/s]
  3%|▎         | 71/2134 [01:45<33:26,  1.03it/s]
                                                 

  3%|▎         | 71/2134 [01:45<33:26,  1.03it/s]
  3%|▎         | 72/2134 [01:45<33:04,  1.04it/s]
                                                 

  3%|▎         | 72/2134 [01:45<33:04,  1.04it/s]
  3%|▎         | 73/2134 [01:46<32:55,  1.04it/s]
                                                 

  3%|▎         | 73/2134 [01:46<32:55,  1.04it/s]
  3%|▎         | 74/2134 [01:47<32:47,  1.05it/s]
                                                 

  3%|▎         | 74/2134 [01:47<32:47,  1.05it/s]
  4%|▎         | 75/2134 [02:01<2:48:15,  4.90s/it]
                                                   

  4%|▎         | 75/2134 [02:01<2:48:15,  4.90s/it]
  4%|▎         | 76/2134 [02:02<2:07:48,  3.73s/it]
                                                   

  4%|▎         | 76/2134 [02:02<2:07:48,  3.73s/it]
  4%|▎         | 77/2134 [02:03<1:39:01,  2.89s/it]
                                                   

  4%|▎         | 77/2134 [02:03<1:39:01,  2.89s/it]
  4%|▎         | 78/2134 [02:04<1:18:49,  2.30s/it]
                                                   
Unsloth: Will smartly offload gradients to save VRAM!
{'loss': 1.8473, 'grad_norm': 1.57968270778656, 'learning_rate': 0.0, 'epoch': 0.0}
{'loss': 2.2187, 'grad_norm': 1.6995224952697754, 'learning_rate': 1.8691588785046728e-06, 'epoch': 0.0}
{'loss': 2.0705, 'grad_norm': 1.5477867126464844, 'learning_rate': 3.7383177570093455e-06, 'epoch': 0.0}
{'loss': 2.1403, 'grad_norm': 1.7689106464385986, 'learning_rate': 5.607476635514019e-06, 'epoch': 0.0}
{'loss': 2.3636, 'grad_norm': 1.6997534036636353, 'learning_rate': 7.476635514018691e-06, 'epoch': 0.0}
{'loss': 2.1286, 'grad_norm': 1.5178228616714478, 'learning_rate': 9.345794392523365e-06, 'epoch': 0.0}
{'loss': 2.409, 'grad_norm': 1.77052903175354, 'learning_rate': 1.1214953271028037e-05, 'epoch': 0.0}
{'loss': 1.8312, 'grad_norm': 1.2116726636886597, 'learning_rate': 1.308411214953271e-05, 'epoch': 0.0}
{'loss': 2.023, 'grad_norm': 1.258795142173767, 'learning_rate': 1.4953271028037382e-05, 'epoch': 0.0}
{'loss': 2.1321, 'grad_norm': 1.1192755699157715, 'learning_rate': 1.6822429906542056e-05, 'epoch': 0.0}
{'loss': 1.3984, 'grad_norm': 0.7392126321792603, 'learning_rate': 1.869158878504673e-05, 'epoch': 0.01}
{'loss': 1.9416, 'grad_norm': 0.9096050262451172, 'learning_rate': 2.05607476635514e-05, 'epoch': 0.01}
{'loss': 1.6172, 'grad_norm': 0.7400152683258057, 'learning_rate': 2.2429906542056075e-05, 'epoch': 0.01}
{'loss': 1.7211, 'grad_norm': 0.8903017640113831, 'learning_rate': 2.429906542056075e-05, 'epoch': 0.01}
{'loss': 1.5558, 'grad_norm': 0.7944154739379883, 'learning_rate': 2.616822429906542e-05, 'epoch': 0.01}
{'loss': 1.4222, 'grad_norm': 0.7597511410713196, 'learning_rate': 2.8037383177570094e-05, 'epoch': 0.01}
{'loss': 1.6176, 'grad_norm': 0.963421642780304, 'learning_rate': 2.9906542056074764e-05, 'epoch': 0.01}
{'loss': 1.6789, 'grad_norm': 1.0051467418670654, 'learning_rate': 3.177570093457944e-05, 'epoch': 0.01}
{'loss': 1.6255, 'grad_norm': 0.9079713225364685, 'learning_rate': 3.364485981308411e-05, 'epoch': 0.01}
{'loss': 1.4159, 'grad_norm': 0.8003875613212585, 'learning_rate': 3.551401869158878e-05, 'epoch': 0.01}
{'loss': 1.2888, 'grad_norm': 0.6948869228363037, 'learning_rate': 3.738317757009346e-05, 'epoch': 0.01}
{'loss': 1.6082, 'grad_norm': 0.7216489911079407, 'learning_rate': 3.925233644859813e-05, 'epoch': 0.01}
{'loss': 1.4643, 'grad_norm': 0.8335199952125549, 'learning_rate': 4.11214953271028e-05, 'epoch': 0.01}
{'loss': 1.451, 'grad_norm': 0.7330345511436462, 'learning_rate': 4.299065420560748e-05, 'epoch': 0.01}
{'loss': 1.3043, 'grad_norm': 0.7606999278068542, 'learning_rate': 4.485981308411215e-05, 'epoch': 0.01}
{'loss': 1.2963, 'grad_norm': 0.7771406769752502, 'learning_rate': 4.672897196261683e-05, 'epoch': 0.01}
{'loss': 1.4245, 'grad_norm': 0.8074899911880493, 'learning_rate': 4.85981308411215e-05, 'epoch': 0.01}
{'loss': 1.1874, 'grad_norm': 0.7659385800361633, 'learning_rate': 5.046728971962617e-05, 'epoch': 0.01}
{'loss': 1.3724, 'grad_norm': 0.7822511196136475, 'learning_rate': 5.233644859813084e-05, 'epoch': 0.01}
{'loss': 1.3218, 'grad_norm': 0.9744600057601929, 'learning_rate': 5.420560747663551e-05, 'epoch': 0.01}
{'loss': 1.3124, 'grad_norm': 0.7977930307388306, 'learning_rate': 5.607476635514019e-05, 'epoch': 0.01}
{'loss': 1.1565, 'grad_norm': 1.0122239589691162, 'learning_rate': 5.794392523364486e-05, 'epoch': 0.01}
{'loss': 1.0025, 'grad_norm': 0.9755117297172546, 'learning_rate': 5.981308411214953e-05, 'epoch': 0.02}
{'loss': 1.1445, 'grad_norm': 0.9446881413459778, 'learning_rate': 6.16822429906542e-05, 'epoch': 0.02}
{'loss': 1.2155, 'grad_norm': 1.219678521156311, 'learning_rate': 6.355140186915888e-05, 'epoch': 0.02}
{'loss': 1.2828, 'grad_norm': 1.1067125797271729, 'learning_rate': 6.542056074766355e-05, 'epoch': 0.02}
{'loss': 1.1348, 'grad_norm': 1.1492916345596313, 'learning_rate': 6.728971962616822e-05, 'epoch': 0.02}
{'loss': 1.031, 'grad_norm': 0.918786883354187, 'learning_rate': 6.91588785046729e-05, 'epoch': 0.02}
{'loss': 1.0679, 'grad_norm': 1.0513783693313599, 'learning_rate': 7.102803738317757e-05, 'epoch': 0.02}
{'loss': 1.2003, 'grad_norm': 1.0690574645996094, 'learning_rate': 7.289719626168224e-05, 'epoch': 0.02}
{'loss': 1.0126, 'grad_norm': 0.7006648182868958, 'learning_rate': 7.476635514018692e-05, 'epoch': 0.02}
{'loss': 1.1608, 'grad_norm': 1.2014092206954956, 'learning_rate': 7.663551401869158e-05, 'epoch': 0.02}
{'loss': 0.9823, 'grad_norm': 0.9510681629180908, 'learning_rate': 7.850467289719626e-05, 'epoch': 0.02}
{'loss': 1.1436, 'grad_norm': 0.9771215319633484, 'learning_rate': 8.037383177570094e-05, 'epoch': 0.02}
{'loss': 1.1415, 'grad_norm': 1.2701865434646606, 'learning_rate': 8.22429906542056e-05, 'epoch': 0.02}
{'loss': 1.2984, 'grad_norm': 1.4712841510772705, 'learning_rate': 8.411214953271028e-05, 'epoch': 0.02}
{'loss': 1.002, 'grad_norm': 0.9301613569259644, 'learning_rate': 8.598130841121496e-05, 'epoch': 0.02}
{'loss': 0.9395, 'grad_norm': 1.0838793516159058, 'learning_rate': 8.785046728971964e-05, 'epoch': 0.02}
{'loss': 0.9468, 'grad_norm': 0.7076739072799683, 'learning_rate': 8.97196261682243e-05, 'epoch': 0.02}
{'loss': 0.9786, 'grad_norm': 1.2306591272354126, 'learning_rate': 9.158878504672898e-05, 'epoch': 0.02}
{'loss': 1.0654, 'grad_norm': 1.067246437072754, 'learning_rate': 9.345794392523365e-05, 'epoch': 0.02}
{'loss': 0.8956, 'grad_norm': 0.884421706199646, 'learning_rate': 9.532710280373832e-05, 'epoch': 0.02}
{'loss': 0.9694, 'grad_norm': 0.9063041806221008, 'learning_rate': 9.7196261682243e-05, 'epoch': 0.02}
{'loss': 0.7803, 'grad_norm': 0.7972922921180725, 'learning_rate': 9.906542056074767e-05, 'epoch': 0.03}
{'loss': 1.0998, 'grad_norm': 1.2430790662765503, 'learning_rate': 0.00010093457943925234, 'epoch': 0.03}
{'loss': 1.2005, 'grad_norm': 1.3491168022155762, 'learning_rate': 0.000102803738317757, 'epoch': 0.03}
{'loss': 0.9076, 'grad_norm': 0.8654341697692871, 'learning_rate': 0.00010467289719626168, 'epoch': 0.03}
{'loss': 1.044, 'grad_norm': 1.3028652667999268, 'learning_rate': 0.00010654205607476636, 'epoch': 0.03}
{'loss': 1.0944, 'grad_norm': 1.0816996097564697, 'learning_rate': 0.00010841121495327102, 'epoch': 0.03}
{'loss': 1.1408, 'grad_norm': 0.9842471480369568, 'learning_rate': 0.0001102803738317757, 'epoch': 0.03}
{'loss': 0.8964, 'grad_norm': 1.008455514907837, 'learning_rate': 0.00011214953271028037, 'epoch': 0.03}
{'loss': 1.0319, 'grad_norm': 0.880650520324707, 'learning_rate': 0.00011401869158878504, 'epoch': 0.03}
{'loss': 1.2026, 'grad_norm': 1.204822063446045, 'learning_rate': 0.00011588785046728972, 'epoch': 0.03}
{'loss': 0.854, 'grad_norm': 0.9740966558456421, 'learning_rate': 0.00011775700934579439, 'epoch': 0.03}
{'loss': 0.805, 'grad_norm': 0.7993818521499634, 'learning_rate': 0.00011962616822429906, 'epoch': 0.03}
{'loss': 0.6428, 'grad_norm': 0.788134753704071, 'learning_rate': 0.00012149532710280373, 'epoch': 0.03}
{'loss': 1.0118, 'grad_norm': 0.9910783767700195, 'learning_rate': 0.0001233644859813084, 'epoch': 0.03}
{'loss': 0.926, 'grad_norm': 1.1511496305465698, 'learning_rate': 0.00012523364485981308, 'epoch': 0.03}
{'loss': 0.8235, 'grad_norm': 0.8857249021530151, 'learning_rate': 0.00012710280373831777, 'epoch': 0.03}
{'loss': 0.8822, 'grad_norm': 0.8608763217926025, 'learning_rate': 0.00012897196261682243, 'epoch': 0.03}
{'loss': 0.922, 'grad_norm': 0.9982796311378479, 'learning_rate': 0.0001308411214953271, 'epoch': 0.03}
{'loss': 0.788, 'grad_norm': 0.7199081778526306, 'learning_rate': 0.00013271028037383179, 'epoch': 0.03}
{'loss': 0.8241, 'grad_norm': 0.6769245266914368, 'learning_rate': 0.00013457943925233645, 'epoch': 0.03}
{'loss': 0.7632, 'grad_norm': 1.1057783365249634, 'learning_rate': 0.0001364485981308411, 'epoch': 0.03}
{'loss': 0.9149, 'grad_norm': 0.7692986130714417, 'learning_rate': 0.0001383177570093458, 'epoch': 0.04}
{'loss': 0.9009, 'grad_norm': 0.9500693678855896, 'learning_rate': 0.00014018691588785047, 'epoch': 0.04}
{'loss': 0.9023, 'grad_norm': 1.1433926820755005, 'learning_rate': 0.00014205607476635513, 'epoch': 0.04}
{'loss': 0.8557, 'grad_norm': 0.8703886270523071, 'learning_rate': 0.00014392523364485982, 'epoch': 0.04}
  4%|▎         | 78/2134 [02:04<1:18:49,  2.30s/it]
  4%|▎         | 79/2134 [02:06<1:11:09,  2.08s/it]
                                                   

  4%|▎         | 79/2134 [02:06<1:11:09,  2.08s/it]
  4%|▎         | 80/2134 [02:08<1:07:18,  1.97s/it]
                                                   

  4%|▎         | 80/2134 [02:08<1:07:18,  1.97s/it]
  4%|▍         | 81/2134 [02:09<1:02:22,  1.82s/it]
                                                   

  4%|▍         | 81/2134 [02:09<1:02:22,  1.82s/it]
  4%|▍         | 82/2134 [02:10<53:34,  1.57s/it]  
                                                 

  4%|▍         | 82/2134 [02:10<53:34,  1.57s/it]
  4%|▍         | 83/2134 [02:11<48:08,  1.41s/it]
                                                 

  4%|▍         | 83/2134 [02:11<48:08,  1.41s/it]
  4%|▍         | 84/2134 [02:12<43:37,  1.28s/it]
                                                 

  4%|▍         | 84/2134 [02:12<43:37,  1.28s/it]
  4%|▍         | 85/2134 [02:13<40:13,  1.18s/it]
                                                 

  4%|▍         | 85/2134 [02:13<40:13,  1.18s/it]
  4%|▍         | 86/2134 [02:14<38:19,  1.12s/it]
                                                 

  4%|▍         | 86/2134 [02:14<38:19,  1.12s/it]
  4%|▍         | 87/2134 [02:15<36:33,  1.07s/it]
                                                 

  4%|▍         | 87/2134 [02:15<36:33,  1.07s/it]
  4%|▍         | 88/2134 [02:16<35:36,  1.04s/it]
                                                 

  4%|▍         | 88/2134 [02:16<35:36,  1.04s/it]
  4%|▍         | 89/2134 [02:17<34:23,  1.01s/it]
                                                 

  4%|▍         | 89/2134 [02:17<34:23,  1.01s/it]
  4%|▍         | 90/2134 [02:18<34:14,  1.01s/it]
                                                 

  4%|▍         | 90/2134 [02:18<34:14,  1.01s/it]
  4%|▍         | 91/2134 [02:19<33:44,  1.01it/s]
                                                 

  4%|▍         | 91/2134 [02:19<33:44,  1.01it/s]
  4%|▍         | 92/2134 [02:20<33:24,  1.02it/s]
                                                 

  4%|▍         | 92/2134 [02:20<33:24,  1.02it/s]
  4%|▍         | 93/2134 [02:21<33:38,  1.01it/s]
                                                 

  4%|▍         | 93/2134 [02:21<33:38,  1.01it/s]
  4%|▍         | 94/2134 [02:22<33:24,  1.02it/s]
                                                 

  4%|▍         | 94/2134 [02:22<33:24,  1.02it/s]
  4%|▍         | 95/2134 [02:23<33:07,  1.03it/s]
                                                 

  4%|▍         | 95/2134 [02:23<33:07,  1.03it/s]
  4%|▍         | 96/2134 [02:24<32:57,  1.03it/s]
                                                 

  4%|▍         | 96/2134 [02:24<32:57,  1.03it/s]
  5%|▍         | 97/2134 [02:25<33:23,  1.02it/s]
                                                 

  5%|▍         | 97/2134 [02:25<33:23,  1.02it/s]
  5%|▍         | 98/2134 [02:26<33:22,  1.02it/s]
                                                 

  5%|▍         | 98/2134 [02:26<33:22,  1.02it/s]
  5%|▍         | 99/2134 [02:27<33:10,  1.02it/s]
                                                 

  5%|▍         | 99/2134 [02:27<33:10,  1.02it/s]
  5%|▍         | 100/2134 [02:44<3:17:12,  5.82s/it]
                                                    

  5%|▍         | 100/2134 [02:44<3:17:12,  5.82s/it]
  5%|▍         | 101/2134 [02:45<2:28:13,  4.37s/it]
                                                    

  5%|▍         | 101/2134 [02:45<2:28:13,  4.37s/it]
  5%|▍         | 102/2134 [02:46<1:53:57,  3.37s/it]
                                                    

  5%|▍         | 102/2134 [02:46<1:53:57,  3.37s/it]
  5%|▍         | 103/2134 [02:47<1:30:08,  2.66s/it]
                                                    

  5%|▍         | 103/2134 [02:47<1:30:08,  2.66s/it]
  5%|▍         | 104/2134 [02:48<1:12:56,  2.16s/it]
                                                    

  5%|▍         | 104/2134 [02:48<1:12:56,  2.16s/it]
  5%|▍         | 105/2134 [02:49<1:01:14,  1.81s/it]
                                                    

  5%|▍         | 105/2134 [02:49<1:01:14,  1.81s/it]
  5%|▍         | 106/2134 [02:50<52:44,  1.56s/it]  
                                                  

  5%|▍         | 106/2134 [02:50<52:44,  1.56s/it]
  5%|▌         | 107/2134 [02:51<46:45,  1.38s/it]
                                                  

  5%|▌         | 107/2134 [02:51<46:45,  1.38s/it]
  5%|▌         | 108/2134 [02:52<43:06,  1.28s/it]
                                                  

  5%|▌         | 108/2134 [02:52<43:06,  1.28s/it]
  5%|▌         | 109/2134 [02:53<40:22,  1.20s/it]
                                                  

  5%|▌         | 109/2134 [02:53<40:22,  1.20s/it]
  5%|▌         | 110/2134 [02:54<38:06,  1.13s/it]
                                                  

  5%|▌         | 110/2134 [02:54<38:06,  1.13s/it]
  5%|▌         | 111/2134 [02:55<36:46,  1.09s/it]
                                                  

  5%|▌         | 111/2134 [02:55<36:46,  1.09s/it]
  5%|▌         | 112/2134 [02:56<35:31,  1.05s/it]
                                                  

  5%|▌         | 112/2134 [02:56<35:31,  1.05s/it]
  5%|▌         | 113/2134 [02:57<34:23,  1.02s/it]
                                                  

  5%|▌         | 113/2134 [02:57<34:23,  1.02s/it]
  5%|▌         | 114/2134 [02:58<33:40,  1.00s/it]
                                                  

  5%|▌         | 114/2134 [02:58<33:40,  1.00s/it]
  5%|▌         | 115/2134 [02:59<33:12,  1.01it/s]
                                                  

  5%|▌         | 115/2134 [02:59<33:12,  1.01it/s]
  5%|▌         | 116/2134 [02:59<32:54,  1.02it/s]
                                                  

  5%|▌         | 116/2134 [02:59<32:54,  1.02it/s]
  5%|▌         | 117/2134 [03:00<32:28,  1.04it/s]
                                                  

  5%|▌         | 117/2134 [03:00<32:28,  1.04it/s]
  6%|▌         | 118/2134 [03:01<32:07,  1.05it/s]
                                                  

  6%|▌         | 118/2134 [03:01<32:07,  1.05it/s]
  6%|▌         | 119/2134 [03:02<31:55,  1.05it/s]
                                                  

  6%|▌         | 119/2134 [03:02<31:55,  1.05it/s]
  6%|▌         | 120/2134 [03:03<31:44,  1.06it/s]
                                                  

  6%|▌         | 120/2134 [03:03<31:44,  1.06it/s]
  6%|▌         | 121/2134 [03:04<31:56,  1.05it/s]
                                                  

  6%|▌         | 121/2134 [03:04<31:56,  1.05it/s]
  6%|▌         | 122/2134 [03:05<32:00,  1.05it/s]
                                                  

  6%|▌         | 122/2134 [03:05<32:00,  1.05it/s]
  6%|▌         | 123/2134 [03:06<31:50,  1.05it/s]
                                                  

  6%|▌         | 123/2134 [03:06<31:50,  1.05it/s]
  6%|▌         | 124/2134 [03:07<31:42,  1.06it/s]
                                                  

  6%|▌         | 124/2134 [03:07<31:42,  1.06it/s]
  6%|▌         | 125/2134 [03:24<3:13:44,  5.79s/it]
                                                    

  6%|▌         | 125/2134 [03:24<3:13:44,  5.79s/it]
  6%|▌         | 126/2134 [03:25<2:25:07,  4.34s/it]
                                                    

  6%|▌         | 126/2134 [03:25<2:25:07,  4.34s/it]
  6%|▌         | 127/2134 [03:26<1:50:51,  3.31s/it]
                                                    

  6%|▌         | 127/2134 [03:26<1:50:51,  3.31s/it]
  6%|▌         | 128/2134 [03:27<1:26:53,  2.60s/it]
                                                    

  6%|▌         | 128/2134 [03:27<1:26:53,  2.60s/it]
  6%|▌         | 129/2134 [03:28<1:10:05,  2.10s/it]
                                                    

  6%|▌         | 129/2134 [03:28<1:10:05,  2.10s/it]
  6%|▌         | 130/2134 [03:29<58:22,  1.75s/it]  
                                                  

  6%|▌         | 130/2134 [03:29<58:22,  1.75s/it]
  6%|▌         | 131/2134 [03:30<50:23,  1.51s/it]
                                                  

  6%|▌         | 131/2134 [03:30<50:23,  1.51s/it]
  6%|▌         | 132/2134 [03:31<44:33,  1.34s/it]
                                                  

  6%|▌         | 132/2134 [03:31<44:33,  1.34s/it]
  6%|▌         | 133/2134 [03:32<40:58,  1.23s/it]
                                                  

  6%|▌         | 133/2134 [03:32<40:58,  1.23s/it]
  6%|▋         | 134/2134 [03:33<38:10,  1.15s/it]
                                                  

  6%|▋         | 134/2134 [03:33<38:10,  1.15s/it]
  6%|▋         | 135/2134 [03:34<35:56,  1.08s/it]
                                                  

  6%|▋         | 135/2134 [03:34<35:56,  1.08s/it]
  6%|▋         | 136/2134 [03:34<34:37,  1.04s/it]
                                                  

  6%|▋         | 136/2134 [03:34<34:37,  1.04s/it]
  6%|▋         | 137/2134 [03:35<33:29,  1.01s/it]
                                                  

  6%|▋         | 137/2134 [03:35<33:29,  1.01s/it]
  6%|▋         | 138/2134 [03:36<32:37,  1.02it/s]
                                                  

  6%|▋         | 138/2134 [03:36<32:37,  1.02it/s]
  7%|▋         | 139/2134 [03:37<32:00,  1.04it/s]
                                                  

  7%|▋         | 139/2134 [03:37<32:00,  1.04it/s]
  7%|▋         | 140/2134 [03:38<31:37,  1.05it/s]
                                                  

  7%|▋         | 140/2134 [03:38<31:37,  1.05it/s]
  7%|▋         | 141/2134 [03:39<31:33,  1.05it/s]
                                                  

  7%|▋         | 141/2134 [03:39<31:33,  1.05it/s]
  7%|▋         | 142/2134 [03:40<31:15,  1.06it/s]
                                                  

  7%|▋         | 142/2134 [03:40<31:15,  1.06it/s]
  7%|▋         | 143/2134 [03:41<31:06,  1.07it/s]
                                                  

  7%|▋         | 143/2134 [03:41<31:06,  1.07it/s]
  7%|▋         | 144/2134 [03:42<33:06,  1.00it/s]
                                                  

  7%|▋         | 144/2134 [03:42<33:06,  1.00it/s]
  7%|▋         | 145/2134 [03:44<38:43,  1.17s/it]
                                                  

  7%|▋         | 145/2134 [03:44<38:43,  1.17s/it]
  7%|▋         | 146/2134 [03:45<43:41,  1.32s/it]
                                                  

  7%|▋         | 146/2134 [03:45<43:41,  1.32s/it]
  7%|▋         | 147/2134 [03:46<40:04,  1.21s/it]
                                                  

  7%|▋         | 147/2134 [03:46<40:04,  1.21s/it]
  7%|▋         | 148/2134 [03:47<37:17,  1.13s/it]
                                                  

  7%|▋         | 148/2134 [03:47<37:17,  1.13s/it]
  7%|▋         | 149/2134 [03:48<35:17,  1.07s/it]
                                                  

  7%|▋         | 149/2134 [03:48<35:17,  1.07s/it]
  7%|▋         | 150/2134 [04:02<2:37:59,  4.78s/it]
                                                    

  7%|▋         | 150/2134 [04:02<2:37:59,  4.78s/it]
  7%|▋         | 151/2134 [04:03<1:59:46,  3.62s/it]
                                                    

  7%|▋         | 151/2134 [04:03<1:59:46,  3.62s/it]
  7%|▋         | 152/2134 [04:03<1:33:23,  2.83s/it]
                                                    

  7%|▋         | 152/2134 [04:03<1:33:23,  2.83s/it]
  7%|▋         | 153/2134 [04:04<1:14:32,  2.26s/it]
                                                    

  7%|▋         | 153/2134 [04:04<1:14:32,  2.26s/it]
  7%|▋         | 154/2134 [04:05<1:01:16,  1.86s/it]
                                                    

  7%|▋         | 154/2134 [04:05<1:01:16,  1.86s/it]
  7%|▋         | 155/2134 [04:06<52:13,  1.58s/it]  
                                                  

  7%|▋         | 155/2134 [04:06<52:13,  1.58s/it]
  7%|▋         | 156/2134 [04:07<45:53,  1.39s/it]
                                                  
{'loss': 0.9397, 'grad_norm': 0.9480357766151428, 'learning_rate': 0.00014579439252336449, 'epoch': 0.04}
{'loss': 1.008, 'grad_norm': 0.8264831304550171, 'learning_rate': 0.00014766355140186915, 'epoch': 0.04}
{'loss': 0.9628, 'grad_norm': 1.2392246723175049, 'learning_rate': 0.00014953271028037384, 'epoch': 0.04}
{'loss': 0.7783, 'grad_norm': 0.7067197561264038, 'learning_rate': 0.0001514018691588785, 'epoch': 0.04}
{'loss': 0.9604, 'grad_norm': 1.05801522731781, 'learning_rate': 0.00015327102803738317, 'epoch': 0.04}
{'loss': 0.9089, 'grad_norm': 1.1548727750778198, 'learning_rate': 0.00015514018691588786, 'epoch': 0.04}
{'loss': 1.036, 'grad_norm': 1.798433542251587, 'learning_rate': 0.00015700934579439252, 'epoch': 0.04}
{'loss': 0.8733, 'grad_norm': 0.781018853187561, 'learning_rate': 0.0001588785046728972, 'epoch': 0.04}
{'loss': 0.8026, 'grad_norm': 1.016416072845459, 'learning_rate': 0.00016074766355140188, 'epoch': 0.04}
{'loss': 0.8247, 'grad_norm': 0.850385308265686, 'learning_rate': 0.00016261682242990654, 'epoch': 0.04}
{'loss': 0.7646, 'grad_norm': 0.6970251798629761, 'learning_rate': 0.0001644859813084112, 'epoch': 0.04}
{'loss': 0.8999, 'grad_norm': 1.2673619985580444, 'learning_rate': 0.0001663551401869159, 'epoch': 0.04}
{'loss': 0.7638, 'grad_norm': 0.7889065146446228, 'learning_rate': 0.00016822429906542056, 'epoch': 0.04}
{'loss': 0.9048, 'grad_norm': 1.44827401638031, 'learning_rate': 0.00017009345794392523, 'epoch': 0.04}
{'loss': 0.7177, 'grad_norm': 0.5571193099021912, 'learning_rate': 0.00017196261682242992, 'epoch': 0.04}
{'loss': 0.8215, 'grad_norm': 1.3073972463607788, 'learning_rate': 0.00017383177570093458, 'epoch': 0.04}
{'loss': 0.8513, 'grad_norm': 0.7040245532989502, 'learning_rate': 0.00017570093457943927, 'epoch': 0.04}
{'loss': 0.8501, 'grad_norm': 0.9838359951972961, 'learning_rate': 0.00017757009345794393, 'epoch': 0.04}
{'loss': 0.9166, 'grad_norm': 1.4769620895385742, 'learning_rate': 0.0001794392523364486, 'epoch': 0.05}
{'loss': 0.8885, 'grad_norm': 0.8195880651473999, 'learning_rate': 0.0001813084112149533, 'epoch': 0.05}
{'loss': 0.8676, 'grad_norm': 1.0625214576721191, 'learning_rate': 0.00018317757009345795, 'epoch': 0.05}
{'loss': 0.8495, 'grad_norm': 0.7327733635902405, 'learning_rate': 0.00018504672897196262, 'epoch': 0.05}
{'loss': 0.9052, 'grad_norm': 0.8660348057746887, 'learning_rate': 0.0001869158878504673, 'epoch': 0.05}
{'loss': 0.9443, 'grad_norm': 0.744247317314148, 'learning_rate': 0.00018878504672897197, 'epoch': 0.05}
{'loss': 0.9015, 'grad_norm': 1.1436618566513062, 'learning_rate': 0.00019065420560747664, 'epoch': 0.05}
{'loss': 0.8341, 'grad_norm': 1.0380358695983887, 'learning_rate': 0.00019252336448598133, 'epoch': 0.05}
{'loss': 0.867, 'grad_norm': 1.0880794525146484, 'learning_rate': 0.000194392523364486, 'epoch': 0.05}
{'loss': 0.8942, 'grad_norm': 0.8238161206245422, 'learning_rate': 0.00019626168224299065, 'epoch': 0.05}
{'loss': 0.9948, 'grad_norm': 1.226578712463379, 'learning_rate': 0.00019813084112149535, 'epoch': 0.05}
{'loss': 0.7883, 'grad_norm': 0.767118513584137, 'learning_rate': 0.0002, 'epoch': 0.05}
{'loss': 0.939, 'grad_norm': 1.0905940532684326, 'learning_rate': 0.00019990133201776026, 'epoch': 0.05}
{'loss': 0.952, 'grad_norm': 0.8946413397789001, 'learning_rate': 0.00019980266403552048, 'epoch': 0.05}
{'loss': 0.8439, 'grad_norm': 0.6588413119316101, 'learning_rate': 0.00019970399605328073, 'epoch': 0.05}
{'loss': 0.8872, 'grad_norm': 0.9853337407112122, 'learning_rate': 0.00019960532807104095, 'epoch': 0.05}
{'loss': 0.8432, 'grad_norm': 0.7766597270965576, 'learning_rate': 0.0001995066600888012, 'epoch': 0.05}
{'loss': 0.9251, 'grad_norm': 1.0605294704437256, 'learning_rate': 0.00019940799210656142, 'epoch': 0.05}
{'loss': 0.9178, 'grad_norm': 0.851771354675293, 'learning_rate': 0.00019930932412432167, 'epoch': 0.05}
{'loss': 0.7498, 'grad_norm': 1.1826759576797485, 'learning_rate': 0.0001992106561420819, 'epoch': 0.05}
{'loss': 0.8829, 'grad_norm': 1.1412725448608398, 'learning_rate': 0.00019911198815984215, 'epoch': 0.05}
{'loss': 0.8639, 'grad_norm': 1.0219944715499878, 'learning_rate': 0.00019901332017760237, 'epoch': 0.06}
{'loss': 0.7093, 'grad_norm': 0.7307783961296082, 'learning_rate': 0.00019891465219536262, 'epoch': 0.06}
{'loss': 0.9232, 'grad_norm': 1.6867965459823608, 'learning_rate': 0.00019881598421312284, 'epoch': 0.06}
{'loss': 0.6749, 'grad_norm': 0.6242111325263977, 'learning_rate': 0.0001987173162308831, 'epoch': 0.06}
{'loss': 0.7752, 'grad_norm': 1.5106275081634521, 'learning_rate': 0.00019861864824864334, 'epoch': 0.06}
{'loss': 0.9262, 'grad_norm': 1.180829644203186, 'learning_rate': 0.00019851998026640356, 'epoch': 0.06}
{'loss': 0.9398, 'grad_norm': 1.07992684841156, 'learning_rate': 0.0001984213122841638, 'epoch': 0.06}
{'loss': 0.6235, 'grad_norm': 0.6705917119979858, 'learning_rate': 0.00019832264430192403, 'epoch': 0.06}
{'loss': 0.8137, 'grad_norm': 0.9426206350326538, 'learning_rate': 0.00019822397631968428, 'epoch': 0.06}
{'loss': 0.8857, 'grad_norm': 0.8884255290031433, 'learning_rate': 0.0001981253083374445, 'epoch': 0.06}
{'loss': 0.7851, 'grad_norm': 0.8318711519241333, 'learning_rate': 0.00019802664035520475, 'epoch': 0.06}
{'loss': 1.0721, 'grad_norm': 1.229708194732666, 'learning_rate': 0.00019792797237296497, 'epoch': 0.06}
{'loss': 0.695, 'grad_norm': 0.6559278964996338, 'learning_rate': 0.00019782930439072522, 'epoch': 0.06}
{'loss': 0.9192, 'grad_norm': 0.8924123048782349, 'learning_rate': 0.00019773063640848545, 'epoch': 0.06}
{'loss': 0.8684, 'grad_norm': 0.7519204020500183, 'learning_rate': 0.0001976319684262457, 'epoch': 0.06}
{'loss': 0.8857, 'grad_norm': 0.6783404350280762, 'learning_rate': 0.00019753330044400592, 'epoch': 0.06}
{'loss': 0.7063, 'grad_norm': 0.8031476736068726, 'learning_rate': 0.00019743463246176617, 'epoch': 0.06}
{'loss': 0.7146, 'grad_norm': 0.6043644547462463, 'learning_rate': 0.00019733596447952642, 'epoch': 0.06}
{'loss': 0.8281, 'grad_norm': 0.8705534934997559, 'learning_rate': 0.00019723729649728664, 'epoch': 0.06}
{'loss': 0.8996, 'grad_norm': 0.9103831648826599, 'learning_rate': 0.0001971386285150469, 'epoch': 0.06}
{'loss': 0.7367, 'grad_norm': 0.6651838421821594, 'learning_rate': 0.0001970399605328071, 'epoch': 0.06}
{'loss': 0.8569, 'grad_norm': 0.6620228886604309, 'learning_rate': 0.00019694129255056736, 'epoch': 0.07}
{'loss': 0.7968, 'grad_norm': 0.8598933219909668, 'learning_rate': 0.00019684262456832758, 'epoch': 0.07}
{'loss': 0.7212, 'grad_norm': 0.6580139994621277, 'learning_rate': 0.00019674395658608783, 'epoch': 0.07}
{'loss': 0.621, 'grad_norm': 0.5985656380653381, 'learning_rate': 0.00019664528860384805, 'epoch': 0.07}
{'loss': 0.8071, 'grad_norm': 0.8002052903175354, 'learning_rate': 0.0001965466206216083, 'epoch': 0.07}
{'loss': 0.8287, 'grad_norm': 0.7962351441383362, 'learning_rate': 0.00019644795263936852, 'epoch': 0.07}
{'loss': 0.7574, 'grad_norm': 0.6695652008056641, 'learning_rate': 0.00019634928465712877, 'epoch': 0.07}
{'loss': 0.82, 'grad_norm': 0.8704439997673035, 'learning_rate': 0.000196250616674889, 'epoch': 0.07}
{'loss': 0.6346, 'grad_norm': 0.5266821980476379, 'learning_rate': 0.00019615194869264925, 'epoch': 0.07}
{'loss': 0.7626, 'grad_norm': 0.7862451672554016, 'learning_rate': 0.00019605328071040947, 'epoch': 0.07}
{'loss': 0.7297, 'grad_norm': 0.5809073448181152, 'learning_rate': 0.00019595461272816972, 'epoch': 0.07}
{'loss': 0.9919, 'grad_norm': 0.7403466105461121, 'learning_rate': 0.00019585594474592997, 'epoch': 0.07}
{'loss': 0.8522, 'grad_norm': 0.7355895638465881, 'learning_rate': 0.0001957572767636902, 'epoch': 0.07}
{'loss': 0.6518, 'grad_norm': 0.5777934193611145, 'learning_rate': 0.00019565860878145044, 'epoch': 0.07}
{'loss': 0.6973, 'grad_norm': 0.597862184047699, 'learning_rate': 0.00019555994079921066, 'epoch': 0.07}
{'loss': 0.8039, 'grad_norm': 0.7082909345626831, 'learning_rate': 0.0001954612728169709, 'epoch': 0.07}
{'loss': 0.6609, 'grad_norm': 0.6543377637863159, 'learning_rate': 0.00019536260483473113, 'epoch': 0.07}
{'loss': 0.5875, 'grad_norm': 0.5420222282409668, 'learning_rate': 0.00019526393685249138, 'epoch': 0.07}
  7%|▋         | 156/2134 [04:07<45:53,  1.39s/it]
  7%|▋         | 157/2134 [04:08<41:13,  1.25s/it]
                                                  

  7%|▋         | 157/2134 [04:08<41:13,  1.25s/it]
  7%|▋         | 158/2134 [04:09<37:55,  1.15s/it]
                                                  

  7%|▋         | 158/2134 [04:09<37:55,  1.15s/it]
  7%|▋         | 159/2134 [04:10<35:39,  1.08s/it]
                                                  

  7%|▋         | 159/2134 [04:10<35:39,  1.08s/it]
  7%|▋         | 160/2134 [04:11<34:06,  1.04s/it]
                                                  

  7%|▋         | 160/2134 [04:11<34:06,  1.04s/it]
  8%|▊         | 161/2134 [04:12<33:08,  1.01s/it]
                                                  

  8%|▊         | 161/2134 [04:12<33:08,  1.01s/it]
  8%|▊         | 162/2134 [04:13<35:36,  1.08s/it]
                                                  

  8%|▊         | 162/2134 [04:13<35:36,  1.08s/it]
  8%|▊         | 163/2134 [04:15<39:01,  1.19s/it]
                                                  

  8%|▊         | 163/2134 [04:15<39:01,  1.19s/it]
  8%|▊         | 164/2134 [04:16<41:38,  1.27s/it]
                                                  

  8%|▊         | 164/2134 [04:16<41:38,  1.27s/it]
  8%|▊         | 165/2134 [04:17<42:21,  1.29s/it]
                                                  

  8%|▊         | 165/2134 [04:17<42:21,  1.29s/it]
  8%|▊         | 166/2134 [04:18<38:52,  1.19s/it]
                                                  

  8%|▊         | 166/2134 [04:18<38:52,  1.19s/it]
  8%|▊         | 167/2134 [04:19<36:22,  1.11s/it]
                                                  

  8%|▊         | 167/2134 [04:19<36:22,  1.11s/it]
  8%|▊         | 168/2134 [04:20<34:40,  1.06s/it]
                                                  

  8%|▊         | 168/2134 [04:20<34:40,  1.06s/it]
  8%|▊         | 169/2134 [04:21<33:48,  1.03s/it]
                                                  

  8%|▊         | 169/2134 [04:21<33:48,  1.03s/it]
  8%|▊         | 170/2134 [04:22<32:49,  1.00s/it]
                                                  

  8%|▊         | 170/2134 [04:22<32:49,  1.00s/it]
  8%|▊         | 171/2134 [04:23<32:01,  1.02it/s]
                                                  

  8%|▊         | 171/2134 [04:23<32:01,  1.02it/s]
  8%|▊         | 172/2134 [04:24<31:43,  1.03it/s]
                                                  

  8%|▊         | 172/2134 [04:24<31:43,  1.03it/s]
  8%|▊         | 173/2134 [04:25<31:13,  1.05it/s]
                                                  

  8%|▊         | 173/2134 [04:25<31:13,  1.05it/s]
  8%|▊         | 174/2134 [04:26<30:49,  1.06it/s]
                                                  

  8%|▊         | 174/2134 [04:26<30:49,  1.06it/s]
  8%|▊         | 175/2134 [04:39<2:30:53,  4.62s/it]
                                                    

  8%|▊         | 175/2134 [04:39<2:30:53,  4.62s/it]
  8%|▊         | 176/2134 [04:40<1:54:33,  3.51s/it]
                                                    

  8%|▊         | 176/2134 [04:40<1:54:33,  3.51s/it]
  8%|▊         | 177/2134 [04:41<1:29:10,  2.73s/it]
                                                    

  8%|▊         | 177/2134 [04:41<1:29:10,  2.73s/it]
  8%|▊         | 178/2134 [04:42<1:11:53,  2.21s/it]
                                                    

  8%|▊         | 178/2134 [04:42<1:11:53,  2.21s/it]
  8%|▊         | 179/2134 [04:43<59:17,  1.82s/it]  
                                                  

  8%|▊         | 179/2134 [04:43<59:17,  1.82s/it]
  8%|▊         | 180/2134 [04:44<50:40,  1.56s/it]
                                                  

  8%|▊         | 180/2134 [04:44<50:40,  1.56s/it]
  8%|▊         | 181/2134 [04:45<47:23,  1.46s/it]
                                                  

  8%|▊         | 181/2134 [04:45<47:23,  1.46s/it]
  9%|▊         | 182/2134 [04:47<49:11,  1.51s/it]
                                                  

  9%|▊         | 182/2134 [04:47<49:11,  1.51s/it]
  9%|▊         | 183/2134 [04:48<51:00,  1.57s/it]
                                                  

  9%|▊         | 183/2134 [04:48<51:00,  1.57s/it]
  9%|▊         | 184/2134 [04:49<47:53,  1.47s/it]
                                                  

  9%|▊         | 184/2134 [04:49<47:53,  1.47s/it]
  9%|▊         | 185/2134 [04:50<42:27,  1.31s/it]
                                                  

  9%|▊         | 185/2134 [04:50<42:27,  1.31s/it]
  9%|▊         | 186/2134 [04:51<38:38,  1.19s/it]
                                                  

  9%|▊         | 186/2134 [04:51<38:38,  1.19s/it]
  9%|▉         | 187/2134 [04:52<35:59,  1.11s/it]
                                                  

  9%|▉         | 187/2134 [04:52<35:59,  1.11s/it]
  9%|▉         | 188/2134 [04:53<34:06,  1.05s/it]
                                                  

  9%|▉         | 188/2134 [04:53<34:06,  1.05s/it]
  9%|▉         | 189/2134 [04:54<32:48,  1.01s/it]
                                                  

  9%|▉         | 189/2134 [04:54<32:48,  1.01s/it]
  9%|▉         | 190/2134 [04:55<31:53,  1.02it/s]
                                                  

  9%|▉         | 190/2134 [04:55<31:53,  1.02it/s]
  9%|▉         | 191/2134 [04:56<31:15,  1.04it/s]
                                                  

  9%|▉         | 191/2134 [04:56<31:15,  1.04it/s]
  9%|▉         | 192/2134 [04:57<30:46,  1.05it/s]
                                                  

  9%|▉         | 192/2134 [04:57<30:46,  1.05it/s]
  9%|▉         | 193/2134 [04:58<30:40,  1.05it/s]
                                                  

  9%|▉         | 193/2134 [04:58<30:40,  1.05it/s]
  9%|▉         | 194/2134 [04:59<30:25,  1.06it/s]
                                                  

  9%|▉         | 194/2134 [04:59<30:25,  1.06it/s]
  9%|▉         | 195/2134 [05:00<30:18,  1.07it/s]
                                                  

  9%|▉         | 195/2134 [05:00<30:18,  1.07it/s]
  9%|▉         | 196/2134 [05:01<30:08,  1.07it/s]
                                                  

  9%|▉         | 196/2134 [05:01<30:08,  1.07it/s]
  9%|▉         | 197/2134 [05:01<30:01,  1.08it/s]
                                                  

  9%|▉         | 197/2134 [05:01<30:01,  1.08it/s]
  9%|▉         | 198/2134 [05:02<29:55,  1.08it/s]
                                                  

  9%|▉         | 198/2134 [05:02<29:55,  1.08it/s]
  9%|▉         | 199/2134 [05:03<29:52,  1.08it/s]
                                                  

  9%|▉         | 199/2134 [05:03<29:52,  1.08it/s]
  9%|▉         | 200/2134 [05:17<2:36:29,  4.86s/it]
                                                    

  9%|▉         | 200/2134 [05:17<2:36:29,  4.86s/it]
  9%|▉         | 201/2134 [05:19<2:04:48,  3.87s/it]
                                                    

  9%|▉         | 201/2134 [05:19<2:04:48,  3.87s/it]
  9%|▉         | 202/2134 [05:20<1:40:05,  3.11s/it]
                                                    

  9%|▉         | 202/2134 [05:20<1:40:05,  3.11s/it]
 10%|▉         | 203/2134 [05:21<1:19:00,  2.45s/it]
                                                    

 10%|▉         | 203/2134 [05:21<1:19:00,  2.45s/it]
 10%|▉         | 204/2134 [05:22<1:04:14,  2.00s/it]
                                                    

 10%|▉         | 204/2134 [05:22<1:04:14,  2.00s/it]
 10%|▉         | 205/2134 [05:23<53:53,  1.68s/it]  
                                                  

 10%|▉         | 205/2134 [05:23<53:53,  1.68s/it]
 10%|▉         | 206/2134 [05:24<46:36,  1.45s/it]
                                                  

 10%|▉         | 206/2134 [05:24<46:36,  1.45s/it]
 10%|▉         | 207/2134 [05:25<41:47,  1.30s/it]
                                                  

 10%|▉         | 207/2134 [05:25<41:47,  1.30s/it]
 10%|▉         | 208/2134 [05:26<38:11,  1.19s/it]
                                                  

 10%|▉         | 208/2134 [05:26<38:11,  1.19s/it]
 10%|▉         | 209/2134 [05:27<35:39,  1.11s/it]
                                                  

 10%|▉         | 209/2134 [05:27<35:39,  1.11s/it]
 10%|▉         | 210/2134 [05:28<33:56,  1.06s/it]
                                                  

 10%|▉         | 210/2134 [05:28<33:56,  1.06s/it]
 10%|▉         | 211/2134 [05:29<32:37,  1.02s/it]
                                                  

 10%|▉         | 211/2134 [05:29<32:37,  1.02s/it]
 10%|▉         | 212/2134 [05:30<31:44,  1.01it/s]
                                                  

 10%|▉         | 212/2134 [05:30<31:44,  1.01it/s]
 10%|▉         | 213/2134 [05:30<31:05,  1.03it/s]
                                                  

 10%|▉         | 213/2134 [05:30<31:05,  1.03it/s]
 10%|█         | 214/2134 [05:31<30:36,  1.05it/s]
                                                  

 10%|█         | 214/2134 [05:31<30:36,  1.05it/s]
 10%|█         | 215/2134 [05:32<30:18,  1.06it/s]
                                                  

 10%|█         | 215/2134 [05:32<30:18,  1.06it/s]
 10%|█         | 216/2134 [05:33<30:03,  1.06it/s]
                                                  

 10%|█         | 216/2134 [05:33<30:03,  1.06it/s]
 10%|█         | 217/2134 [05:34<29:53,  1.07it/s]
                                                  

 10%|█         | 217/2134 [05:34<29:53,  1.07it/s]
 10%|█         | 218/2134 [05:35<29:45,  1.07it/s]
                                                  

 10%|█         | 218/2134 [05:35<29:45,  1.07it/s]
 10%|█         | 219/2134 [05:36<29:41,  1.07it/s]
                                                  

 10%|█         | 219/2134 [05:36<29:41,  1.07it/s]
 10%|█         | 220/2134 [05:37<29:39,  1.08it/s]
                                                  

 10%|█         | 220/2134 [05:37<29:39,  1.08it/s]
 10%|█         | 221/2134 [05:38<29:36,  1.08it/s]
                                                  

 10%|█         | 221/2134 [05:38<29:36,  1.08it/s]
 10%|█         | 222/2134 [05:39<29:49,  1.07it/s]
                                                  

 10%|█         | 222/2134 [05:39<29:49,  1.07it/s]
 10%|█         | 223/2134 [05:40<30:08,  1.06it/s]
                                                  

 10%|█         | 223/2134 [05:40<30:08,  1.06it/s]
 10%|█         | 224/2134 [05:41<30:01,  1.06it/s]
                                                  

 10%|█         | 224/2134 [05:41<30:01,  1.06it/s]
 11%|█         | 225/2134 [05:59<3:15:43,  6.15s/it]
                                                    

 11%|█         | 225/2134 [05:59<3:15:43,  6.15s/it]
 11%|█         | 226/2134 [06:00<2:25:47,  4.58s/it]
                                                    

 11%|█         | 226/2134 [06:00<2:25:47,  4.58s/it]
 11%|█         | 227/2134 [06:01<1:51:19,  3.50s/it]
                                                    

 11%|█         | 227/2134 [06:01<1:51:19,  3.50s/it]
 11%|█         | 228/2134 [06:02<1:26:44,  2.73s/it]
                                                    

 11%|█         | 228/2134 [06:02<1:26:44,  2.73s/it]
 11%|█         | 229/2134 [06:03<1:09:33,  2.19s/it]
                                                    

 11%|█         | 229/2134 [06:03<1:09:33,  2.19s/it]
 11%|█         | 230/2134 [06:04<57:33,  1.81s/it]  
                                                  

 11%|█         | 230/2134 [06:04<57:33,  1.81s/it]
 11%|█         | 231/2134 [06:05<49:05,  1.55s/it]
                                                  

 11%|█         | 231/2134 [06:05<49:05,  1.55s/it]
 11%|█         | 232/2134 [06:06<43:10,  1.36s/it]
                                                  

 11%|█         | 232/2134 [06:06<43:10,  1.36s/it]
 11%|█         | 233/2134 [06:07<39:00,  1.23s/it]
                                                  

 11%|█         | 233/2134 [06:07<39:00,  1.23s/it]
 11%|█         | 234/2134 [06:07<36:03,  1.14s/it]
                                                  
{'loss': 0.7018, 'grad_norm': 0.707828938961029, 'learning_rate': 0.0001951652688702516, 'epoch': 0.07}
{'loss': 0.7032, 'grad_norm': 0.6283411979675293, 'learning_rate': 0.00019506660088801185, 'epoch': 0.07}
{'loss': 0.7031, 'grad_norm': 0.8625614643096924, 'learning_rate': 0.00019496793290577207, 'epoch': 0.07}
{'loss': 0.7616, 'grad_norm': 0.763647198677063, 'learning_rate': 0.00019486926492353232, 'epoch': 0.07}
{'loss': 0.8527, 'grad_norm': 0.894615113735199, 'learning_rate': 0.00019477059694129257, 'epoch': 0.08}
{'loss': 0.6535, 'grad_norm': 0.5726443529129028, 'learning_rate': 0.0001946719289590528, 'epoch': 0.08}
{'loss': 0.7078, 'grad_norm': 0.6488884091377258, 'learning_rate': 0.00019457326097681304, 'epoch': 0.08}
{'loss': 0.6382, 'grad_norm': 0.5587689876556396, 'learning_rate': 0.00019447459299457327, 'epoch': 0.08}
{'loss': 0.7523, 'grad_norm': 0.6844985485076904, 'learning_rate': 0.00019437592501233352, 'epoch': 0.08}
{'loss': 0.651, 'grad_norm': 0.599247395992279, 'learning_rate': 0.00019427725703009374, 'epoch': 0.08}
{'loss': 0.7338, 'grad_norm': 0.6560847163200378, 'learning_rate': 0.000194178589047854, 'epoch': 0.08}
{'loss': 0.7134, 'grad_norm': 0.7827677130699158, 'learning_rate': 0.0001940799210656142, 'epoch': 0.08}
{'loss': 0.8104, 'grad_norm': 0.7439073324203491, 'learning_rate': 0.00019398125308337446, 'epoch': 0.08}
{'loss': 0.8576, 'grad_norm': 0.6959541440010071, 'learning_rate': 0.00019388258510113468, 'epoch': 0.08}
{'loss': 0.744, 'grad_norm': 0.8063734769821167, 'learning_rate': 0.00019378391711889493, 'epoch': 0.08}
{'loss': 0.7235, 'grad_norm': 0.6911234259605408, 'learning_rate': 0.00019368524913665515, 'epoch': 0.08}
{'loss': 0.6522, 'grad_norm': 0.5105429291725159, 'learning_rate': 0.0001935865811544154, 'epoch': 0.08}
{'loss': 0.7665, 'grad_norm': 0.6847923398017883, 'learning_rate': 0.00019348791317217562, 'epoch': 0.08}
{'loss': 0.805, 'grad_norm': 0.6937251091003418, 'learning_rate': 0.00019338924518993587, 'epoch': 0.08}
{'loss': 0.7275, 'grad_norm': 0.627011775970459, 'learning_rate': 0.00019329057720769612, 'epoch': 0.08}
{'loss': 0.8328, 'grad_norm': 0.7712371349334717, 'learning_rate': 0.00019319190922545635, 'epoch': 0.08}
{'loss': 0.6527, 'grad_norm': 0.5618113875389099, 'learning_rate': 0.0001930932412432166, 'epoch': 0.08}
{'loss': 0.7099, 'grad_norm': 0.7798406481742859, 'learning_rate': 0.00019299457326097682, 'epoch': 0.08}
{'loss': 0.8797, 'grad_norm': 0.7097545266151428, 'learning_rate': 0.00019289590527873707, 'epoch': 0.08}
{'loss': 0.6883, 'grad_norm': 0.7724209427833557, 'learning_rate': 0.0001927972372964973, 'epoch': 0.08}
{'loss': 0.6365, 'grad_norm': 0.7873632311820984, 'learning_rate': 0.00019269856931425754, 'epoch': 0.09}
{'loss': 0.7201, 'grad_norm': 0.6211459636688232, 'learning_rate': 0.00019259990133201776, 'epoch': 0.09}
{'loss': 0.7594, 'grad_norm': 0.7042255401611328, 'learning_rate': 0.000192501233349778, 'epoch': 0.09}
{'loss': 0.5618, 'grad_norm': 0.654370129108429, 'learning_rate': 0.00019240256536753823, 'epoch': 0.09}
{'loss': 0.589, 'grad_norm': 0.617184042930603, 'learning_rate': 0.00019230389738529848, 'epoch': 0.09}
{'loss': 0.6619, 'grad_norm': 0.6639652252197266, 'learning_rate': 0.00019220522940305873, 'epoch': 0.09}
{'loss': 0.6334, 'grad_norm': 0.6539260149002075, 'learning_rate': 0.00019210656142081895, 'epoch': 0.09}
{'loss': 0.5985, 'grad_norm': 0.6794058680534363, 'learning_rate': 0.0001920078934385792, 'epoch': 0.09}
{'loss': 0.565, 'grad_norm': 0.5408674478530884, 'learning_rate': 0.00019190922545633942, 'epoch': 0.09}
{'loss': 0.6952, 'grad_norm': 0.7204151153564453, 'learning_rate': 0.00019181055747409967, 'epoch': 0.09}
{'loss': 0.7136, 'grad_norm': 0.7001091241836548, 'learning_rate': 0.0001917118894918599, 'epoch': 0.09}
{'loss': 0.5385, 'grad_norm': 0.47622331976890564, 'learning_rate': 0.00019161322150962015, 'epoch': 0.09}
{'loss': 0.7186, 'grad_norm': 0.6649067401885986, 'learning_rate': 0.00019151455352738037, 'epoch': 0.09}
{'loss': 0.744, 'grad_norm': 0.7011906504631042, 'learning_rate': 0.00019141588554514062, 'epoch': 0.09}
{'loss': 0.7284, 'grad_norm': 0.5998984575271606, 'learning_rate': 0.00019131721756290084, 'epoch': 0.09}
{'loss': 0.736, 'grad_norm': 0.5810551047325134, 'learning_rate': 0.0001912185495806611, 'epoch': 0.09}
{'loss': 0.7648, 'grad_norm': 0.6862037777900696, 'learning_rate': 0.0001911198815984213, 'epoch': 0.09}
{'loss': 0.6859, 'grad_norm': 0.6137648820877075, 'learning_rate': 0.00019102121361618156, 'epoch': 0.09}
{'loss': 0.8322, 'grad_norm': 0.7374585866928101, 'learning_rate': 0.00019092254563394178, 'epoch': 0.09}
{'loss': 0.7593, 'grad_norm': 0.6656923890113831, 'learning_rate': 0.00019082387765170203, 'epoch': 0.09}
{'loss': 0.6467, 'grad_norm': 0.5949082970619202, 'learning_rate': 0.00019072520966946228, 'epoch': 0.09}
{'loss': 0.8086, 'grad_norm': 0.6667563319206238, 'learning_rate': 0.0001906265416872225, 'epoch': 0.1}
{'loss': 0.6178, 'grad_norm': 0.5234555602073669, 'learning_rate': 0.00019052787370498275, 'epoch': 0.1}
{'loss': 0.7464, 'grad_norm': 0.6546556353569031, 'learning_rate': 0.00019042920572274297, 'epoch': 0.1}
{'loss': 0.7135, 'grad_norm': 0.6289747953414917, 'learning_rate': 0.00019033053774050322, 'epoch': 0.1}
{'loss': 0.5514, 'grad_norm': 0.5410078167915344, 'learning_rate': 0.00019023186975826345, 'epoch': 0.1}
{'loss': 0.7268, 'grad_norm': 0.6910091042518616, 'learning_rate': 0.0001901332017760237, 'epoch': 0.1}
{'loss': 0.8484, 'grad_norm': 0.7050936222076416, 'learning_rate': 0.00019003453379378392, 'epoch': 0.1}
{'loss': 0.8605, 'grad_norm': 0.7734013199806213, 'learning_rate': 0.00018993586581154417, 'epoch': 0.1}
{'loss': 0.5887, 'grad_norm': 0.7217937707901001, 'learning_rate': 0.00018983719782930442, 'epoch': 0.1}
{'loss': 0.7183, 'grad_norm': 0.6195514798164368, 'learning_rate': 0.00018973852984706464, 'epoch': 0.1}
{'loss': 0.629, 'grad_norm': 0.5296627283096313, 'learning_rate': 0.0001896398618648249, 'epoch': 0.1}
{'loss': 0.7332, 'grad_norm': 0.8636325001716614, 'learning_rate': 0.0001895411938825851, 'epoch': 0.1}
{'loss': 0.6955, 'grad_norm': 0.5707107186317444, 'learning_rate': 0.00018944252590034536, 'epoch': 0.1}
{'loss': 0.6937, 'grad_norm': 0.6047224998474121, 'learning_rate': 0.00018934385791810558, 'epoch': 0.1}
{'loss': 0.7142, 'grad_norm': 0.6606507897377014, 'learning_rate': 0.00018924518993586583, 'epoch': 0.1}
{'loss': 0.7063, 'grad_norm': 0.6383352279663086, 'learning_rate': 0.00018914652195362605, 'epoch': 0.1}
{'loss': 0.6861, 'grad_norm': 0.8044530749320984, 'learning_rate': 0.0001890478539713863, 'epoch': 0.1}
{'loss': 0.6963, 'grad_norm': 0.7070230841636658, 'learning_rate': 0.00018894918598914652, 'epoch': 0.1}
{'loss': 0.6475, 'grad_norm': 0.782667875289917, 'learning_rate': 0.00018885051800690677, 'epoch': 0.1}
{'loss': 0.5615, 'grad_norm': 0.6727036237716675, 'learning_rate': 0.000188751850024667, 'epoch': 0.1}
{'loss': 0.6311, 'grad_norm': 0.8720601201057434, 'learning_rate': 0.00018865318204242725, 'epoch': 0.1}
{'loss': 0.6172, 'grad_norm': 0.5706192255020142, 'learning_rate': 0.00018855451406018747, 'epoch': 0.1}
{'loss': 0.556, 'grad_norm': 0.7715769410133362, 'learning_rate': 0.00018845584607794772, 'epoch': 0.11}
{'loss': 0.7451, 'grad_norm': 0.8589938879013062, 'learning_rate': 0.00018835717809570794, 'epoch': 0.11}
{'loss': 0.6609, 'grad_norm': 0.6420536637306213, 'learning_rate': 0.0001882585101134682, 'epoch': 0.11}
{'loss': 0.7751, 'grad_norm': 0.977233350276947, 'learning_rate': 0.0001881598421312284, 'epoch': 0.11}
{'loss': 0.6407, 'grad_norm': 0.6895206570625305, 'learning_rate': 0.00018806117414898866, 'epoch': 0.11}
{'loss': 0.5255, 'grad_norm': 0.6806565523147583, 'learning_rate': 0.0001879625061667489, 'epoch': 0.11}
{'loss': 0.7201, 'grad_norm': 0.696997880935669, 'learning_rate': 0.00018786383818450913, 'epoch': 0.11}
{'loss': 0.7002, 'grad_norm': 0.8379308581352234, 'learning_rate': 0.00018776517020226938, 'epoch': 0.11}
{'loss': 0.5852, 'grad_norm': 0.5625774264335632, 'learning_rate': 0.0001876665022200296, 'epoch': 0.11}
{'loss': 0.6894, 'grad_norm': 0.7005741000175476, 'learning_rate': 0.00018756783423778985, 'epoch': 0.11}
 11%|█         | 234/2134 [06:07<36:03,  1.14s/it]
 11%|█         | 235/2134 [06:08<33:57,  1.07s/it]
                                                  

 11%|█         | 235/2134 [06:08<33:57,  1.07s/it]
 11%|█         | 236/2134 [06:09<32:31,  1.03s/it]
                                                  

 11%|█         | 236/2134 [06:09<32:31,  1.03s/it]
 11%|█         | 237/2134 [06:10<31:28,  1.00it/s]
                                                  

 11%|█         | 237/2134 [06:10<31:28,  1.00it/s]
 11%|█         | 238/2134 [06:11<30:59,  1.02it/s]
                                                  

 11%|█         | 238/2134 [06:11<30:59,  1.02it/s]
 11%|█         | 239/2134 [06:12<30:26,  1.04it/s]
                                                  

 11%|█         | 239/2134 [06:12<30:26,  1.04it/s]
 11%|█         | 240/2134 [06:13<30:30,  1.03it/s]
                                                  

 11%|█         | 240/2134 [06:13<30:30,  1.03it/s]
 11%|█▏        | 241/2134 [06:14<30:03,  1.05it/s]
                                                  

 11%|█▏        | 241/2134 [06:14<30:03,  1.05it/s]
 11%|█▏        | 242/2134 [06:15<29:54,  1.05it/s]
                                                  

 11%|█▏        | 242/2134 [06:15<29:54,  1.05it/s]
 11%|█▏        | 243/2134 [06:16<29:45,  1.06it/s]
                                                  

 11%|█▏        | 243/2134 [06:16<29:45,  1.06it/s]
 11%|█▏        | 244/2134 [06:17<29:38,  1.06it/s]
                                                  

 11%|█▏        | 244/2134 [06:17<29:38,  1.06it/s]
 11%|█▏        | 245/2134 [06:18<29:27,  1.07it/s]
                                                  

 11%|█▏        | 245/2134 [06:18<29:27,  1.07it/s]
 12%|█▏        | 246/2134 [06:19<29:33,  1.06it/s]
                                                  

 12%|█▏        | 246/2134 [06:19<29:33,  1.06it/s]
 12%|█▏        | 247/2134 [06:20<29:23,  1.07it/s]
                                                  

 12%|█▏        | 247/2134 [06:20<29:23,  1.07it/s]
 12%|█▏        | 248/2134 [06:21<32:17,  1.03s/it]
                                                  

 12%|█▏        | 248/2134 [06:21<32:17,  1.03s/it]
 12%|█▏        | 249/2134 [06:22<35:33,  1.13s/it]
                                                  

 12%|█▏        | 249/2134 [06:22<35:33,  1.13s/it]
 12%|█▏        | 250/2134 [06:37<2:42:51,  5.19s/it]
                                                    

 12%|█▏        | 250/2134 [06:37<2:42:51,  5.19s/it]
 12%|█▏        | 251/2134 [06:38<2:02:41,  3.91s/it]
                                                    

 12%|█▏        | 251/2134 [06:38<2:02:41,  3.91s/it]
 12%|█▏        | 252/2134 [06:39<1:34:32,  3.01s/it]
                                                    

 12%|█▏        | 252/2134 [06:39<1:34:32,  3.01s/it]
 12%|█▏        | 253/2134 [06:40<1:14:47,  2.39s/it]
                                                    

 12%|█▏        | 253/2134 [06:40<1:14:47,  2.39s/it]
 12%|█▏        | 254/2134 [06:41<1:01:11,  1.95s/it]
                                                    

 12%|█▏        | 254/2134 [06:41<1:01:11,  1.95s/it]
 12%|█▏        | 255/2134 [06:41<51:40,  1.65s/it]  
                                                  

 12%|█▏        | 255/2134 [06:41<51:40,  1.65s/it]
 12%|█▏        | 256/2134 [06:42<45:01,  1.44s/it]
                                                  

 12%|█▏        | 256/2134 [06:42<45:01,  1.44s/it]
 12%|█▏        | 257/2134 [06:43<40:22,  1.29s/it]
                                                  

 12%|█▏        | 257/2134 [06:43<40:22,  1.29s/it]
 12%|█▏        | 258/2134 [06:44<37:22,  1.20s/it]
                                                  

 12%|█▏        | 258/2134 [06:44<37:22,  1.20s/it]
 12%|█▏        | 259/2134 [06:45<35:00,  1.12s/it]
                                                  

 12%|█▏        | 259/2134 [06:45<35:00,  1.12s/it]
 12%|█▏        | 260/2134 [06:46<33:18,  1.07s/it]
                                                  

 12%|█▏        | 260/2134 [06:46<33:18,  1.07s/it]
 12%|█▏        | 261/2134 [06:47<32:07,  1.03s/it]
                                                  

 12%|█▏        | 261/2134 [06:47<32:07,  1.03s/it]
 12%|█▏        | 262/2134 [06:48<31:19,  1.00s/it]
                                                  

 12%|█▏        | 262/2134 [06:48<31:19,  1.00s/it]
 12%|█▏        | 263/2134 [06:49<30:43,  1.01it/s]
                                                  

 12%|█▏        | 263/2134 [06:49<30:43,  1.01it/s]
 12%|█▏        | 264/2134 [06:50<30:17,  1.03it/s]
                                                  

 12%|█▏        | 264/2134 [06:50<30:17,  1.03it/s]
 12%|█▏        | 265/2134 [06:51<29:59,  1.04it/s]
                                                  

 12%|█▏        | 265/2134 [06:51<29:59,  1.04it/s]
 12%|█▏        | 266/2134 [06:52<33:00,  1.06s/it]
                                                  

 12%|█▏        | 266/2134 [06:52<33:00,  1.06s/it]
 13%|█▎        | 267/2134 [06:54<39:44,  1.28s/it]
                                                  

 13%|█▎        | 267/2134 [06:54<39:44,  1.28s/it]
 13%|█▎        | 268/2134 [06:56<44:32,  1.43s/it]
                                                  

 13%|█▎        | 268/2134 [06:56<44:32,  1.43s/it]
 13%|█▎        | 269/2134 [06:57<41:17,  1.33s/it]
                                                  

 13%|█▎        | 269/2134 [06:57<41:17,  1.33s/it]
 13%|█▎        | 270/2134 [06:58<37:29,  1.21s/it]
                                                  

 13%|█▎        | 270/2134 [06:58<37:29,  1.21s/it]
 13%|█▎        | 271/2134 [06:59<34:48,  1.12s/it]
                                                  

 13%|█▎        | 271/2134 [06:59<34:48,  1.12s/it]
 13%|█▎        | 272/2134 [07:00<32:56,  1.06s/it]
                                                  

 13%|█▎        | 272/2134 [07:00<32:56,  1.06s/it]
 13%|█▎        | 273/2134 [07:01<31:36,  1.02s/it]
                                                  

 13%|█▎        | 273/2134 [07:01<31:36,  1.02s/it]
 13%|█▎        | 274/2134 [07:02<30:40,  1.01it/s]
                                                  

 13%|█▎        | 274/2134 [07:02<30:40,  1.01it/s]
 13%|█▎        | 275/2134 [07:15<2:24:20,  4.66s/it]
                                                    

 13%|█▎        | 275/2134 [07:15<2:24:20,  4.66s/it]
 13%|█▎        | 276/2134 [07:16<1:49:33,  3.54s/it]
                                                    

 13%|█▎        | 276/2134 [07:16<1:49:33,  3.54s/it]
 13%|█▎        | 277/2134 [07:17<1:25:13,  2.75s/it]
                                                    

 13%|█▎        | 277/2134 [07:17<1:25:13,  2.75s/it]
 13%|█▎        | 278/2134 [07:17<1:08:09,  2.20s/it]
                                                    

 13%|█▎        | 278/2134 [07:17<1:08:09,  2.20s/it]
 13%|█▎        | 279/2134 [07:18<56:14,  1.82s/it]  
                                                  

 13%|█▎        | 279/2134 [07:18<56:14,  1.82s/it]
 13%|█▎        | 280/2134 [07:19<47:53,  1.55s/it]
                                                  

 13%|█▎        | 280/2134 [07:19<47:53,  1.55s/it]
 13%|█▎        | 281/2134 [07:20<42:31,  1.38s/it]
                                                  

 13%|█▎        | 281/2134 [07:20<42:31,  1.38s/it]
 13%|█▎        | 282/2134 [07:21<38:19,  1.24s/it]
                                                  

 13%|█▎        | 282/2134 [07:21<38:19,  1.24s/it]
 13%|█▎        | 283/2134 [07:22<35:21,  1.15s/it]
                                                  

 13%|█▎        | 283/2134 [07:22<35:21,  1.15s/it]
 13%|█▎        | 284/2134 [07:23<33:32,  1.09s/it]
                                                  

 13%|█▎        | 284/2134 [07:23<33:32,  1.09s/it]
 13%|█▎        | 285/2134 [07:24<32:14,  1.05s/it]
                                                  

 13%|█▎        | 285/2134 [07:24<32:14,  1.05s/it]
 13%|█▎        | 286/2134 [07:25<35:04,  1.14s/it]
                                                  

 13%|█▎        | 286/2134 [07:25<35:04,  1.14s/it]
 13%|█▎        | 287/2134 [07:27<41:01,  1.33s/it]
                                                  

 13%|█▎        | 287/2134 [07:27<41:01,  1.33s/it]
 13%|█▎        | 288/2134 [07:29<44:07,  1.43s/it]
                                                  

 13%|█▎        | 288/2134 [07:29<44:07,  1.43s/it]
 14%|█▎        | 289/2134 [07:30<39:41,  1.29s/it]
                                                  

 14%|█▎        | 289/2134 [07:30<39:41,  1.29s/it]
 14%|█▎        | 290/2134 [07:31<36:24,  1.18s/it]
                                                  

 14%|█▎        | 290/2134 [07:31<36:24,  1.18s/it]
 14%|█▎        | 291/2134 [07:32<34:15,  1.12s/it]
                                                  

 14%|█▎        | 291/2134 [07:32<34:15,  1.12s/it]
 14%|█▎        | 292/2134 [07:33<32:39,  1.06s/it]
                                                  

 14%|█▎        | 292/2134 [07:33<32:39,  1.06s/it]
 14%|█▎        | 293/2134 [07:34<31:32,  1.03s/it]
                                                  

 14%|█▎        | 293/2134 [07:34<31:32,  1.03s/it]
 14%|█▍        | 294/2134 [07:35<30:43,  1.00s/it]
                                                  

 14%|█▍        | 294/2134 [07:35<30:43,  1.00s/it]
 14%|█▍        | 295/2134 [07:35<30:09,  1.02it/s]
                                                  

 14%|█▍        | 295/2134 [07:35<30:09,  1.02it/s]
 14%|█▍        | 296/2134 [07:36<29:45,  1.03it/s]
                                                  

 14%|█▍        | 296/2134 [07:36<29:45,  1.03it/s]
 14%|█▍        | 297/2134 [07:37<29:30,  1.04it/s]
                                                  

 14%|█▍        | 297/2134 [07:37<29:30,  1.04it/s]
 14%|█▍        | 298/2134 [07:38<29:17,  1.04it/s]
                                                  

 14%|█▍        | 298/2134 [07:38<29:17,  1.04it/s]
 14%|█▍        | 299/2134 [07:39<29:07,  1.05it/s]
                                                  

 14%|█▍        | 299/2134 [07:39<29:07,  1.05it/s]
 14%|█▍        | 300/2134 [07:53<2:25:01,  4.74s/it]
                                                    

 14%|█▍        | 300/2134 [07:53<2:25:01,  4.74s/it]
 14%|█▍        | 301/2134 [07:54<1:50:03,  3.60s/it]
                                                    

 14%|█▍        | 301/2134 [07:54<1:50:03,  3.60s/it]
 14%|█▍        | 302/2134 [07:55<1:25:33,  2.80s/it]
                                                    

 14%|█▍        | 302/2134 [07:55<1:25:33,  2.80s/it]
 14%|█▍        | 303/2134 [07:56<1:08:24,  2.24s/it]
                                                    

 14%|█▍        | 303/2134 [07:56<1:08:24,  2.24s/it]
 14%|█▍        | 304/2134 [07:57<56:18,  1.85s/it]  
                                                  

 14%|█▍        | 304/2134 [07:57<56:18,  1.85s/it]
 14%|█▍        | 305/2134 [07:58<50:13,  1.65s/it]
                                                  

 14%|█▍        | 305/2134 [07:58<50:13,  1.65s/it]
 14%|█▍        | 306/2134 [07:59<47:28,  1.56s/it]
                                                  

 14%|█▍        | 306/2134 [07:59<47:28,  1.56s/it]
 14%|█▍        | 307/2134 [08:01<46:53,  1.54s/it]
                                                  

 14%|█▍        | 307/2134 [08:01<46:53,  1.54s/it]
 14%|█▍        | 308/2134 [08:02<44:44,  1.47s/it]
                                                  

 14%|█▍        | 308/2134 [08:02<44:44,  1.47s/it]
 14%|█▍        | 309/2134 [08:03<40:33,  1.33s/it]
                                                  

 14%|█▍        | 309/2134 [08:03<40:33,  1.33s/it]
 15%|█▍        | 310/2134 [08:04<37:11,  1.22s/it]
                                                  

 15%|█▍        | 310/2134 [08:04<37:11,  1.22s/it]
 15%|█▍        | 311/2134 [08:06<41:34,  1.37s/it]
                                                  

 15%|█▍        | 311/2134 [08:06<41:34,  1.37s/it]
 15%|█▍        | 312/2134 [08:07<37:59,  1.25s/it]
                                                  
{'loss': 0.6387, 'grad_norm': 0.6644153594970703, 'learning_rate': 0.00018746916625555008, 'epoch': 0.11}
{'loss': 0.584, 'grad_norm': 0.6319420337677002, 'learning_rate': 0.00018737049827331032, 'epoch': 0.11}
{'loss': 0.5574, 'grad_norm': 0.6597320437431335, 'learning_rate': 0.00018727183029107057, 'epoch': 0.11}
{'loss': 0.6703, 'grad_norm': 0.9358595013618469, 'learning_rate': 0.0001871731623088308, 'epoch': 0.11}
{'loss': 0.6695, 'grad_norm': 0.7631112337112427, 'learning_rate': 0.00018707449432659105, 'epoch': 0.11}
{'loss': 0.6153, 'grad_norm': 0.8541339635848999, 'learning_rate': 0.00018697582634435127, 'epoch': 0.11}
{'loss': 0.8083, 'grad_norm': 0.7126354575157166, 'learning_rate': 0.00018687715836211152, 'epoch': 0.11}
{'loss': 0.6989, 'grad_norm': 0.6723571419715881, 'learning_rate': 0.00018677849037987174, 'epoch': 0.11}
{'loss': 0.5965, 'grad_norm': 0.6076322197914124, 'learning_rate': 0.000186679822397632, 'epoch': 0.11}
{'loss': 0.7764, 'grad_norm': 0.7905047535896301, 'learning_rate': 0.0001865811544153922, 'epoch': 0.11}
{'loss': 0.6273, 'grad_norm': 0.5707830190658569, 'learning_rate': 0.00018648248643315246, 'epoch': 0.11}
{'loss': 0.5071, 'grad_norm': 0.5631861090660095, 'learning_rate': 0.00018638381845091268, 'epoch': 0.12}
{'loss': 0.541, 'grad_norm': 0.6112082004547119, 'learning_rate': 0.00018628515046867293, 'epoch': 0.12}
{'loss': 0.5456, 'grad_norm': 0.6460751295089722, 'learning_rate': 0.00018618648248643315, 'epoch': 0.12}
{'loss': 0.7355, 'grad_norm': 0.8209025263786316, 'learning_rate': 0.0001860878145041934, 'epoch': 0.12}
{'loss': 0.7071, 'grad_norm': 0.7396740317344666, 'learning_rate': 0.00018598914652195363, 'epoch': 0.12}
{'loss': 0.6742, 'grad_norm': 0.7405069470405579, 'learning_rate': 0.00018589047853971387, 'epoch': 0.12}
{'loss': 0.5161, 'grad_norm': 0.5423316955566406, 'learning_rate': 0.0001857918105574741, 'epoch': 0.12}
{'loss': 0.762, 'grad_norm': 0.681438148021698, 'learning_rate': 0.00018569314257523435, 'epoch': 0.12}
{'loss': 0.6979, 'grad_norm': 0.6367820501327515, 'learning_rate': 0.00018559447459299457, 'epoch': 0.12}
{'loss': 0.6505, 'grad_norm': 0.6336613297462463, 'learning_rate': 0.00018549580661075482, 'epoch': 0.12}
{'loss': 0.6233, 'grad_norm': 0.5607463121414185, 'learning_rate': 0.00018539713862851507, 'epoch': 0.12}
{'loss': 0.6032, 'grad_norm': 0.5704983472824097, 'learning_rate': 0.0001852984706462753, 'epoch': 0.12}
{'loss': 0.5348, 'grad_norm': 0.5924462080001831, 'learning_rate': 0.00018519980266403554, 'epoch': 0.12}
{'loss': 0.7021, 'grad_norm': 0.7503722310066223, 'learning_rate': 0.00018510113468179576, 'epoch': 0.12}
{'loss': 0.5678, 'grad_norm': 0.6274892687797546, 'learning_rate': 0.000185002466699556, 'epoch': 0.12}
{'loss': 0.5776, 'grad_norm': 0.6430224776268005, 'learning_rate': 0.00018490379871731623, 'epoch': 0.12}
{'loss': 0.7221, 'grad_norm': 0.801280677318573, 'learning_rate': 0.00018480513073507648, 'epoch': 0.12}
{'loss': 0.7652, 'grad_norm': 0.7783434987068176, 'learning_rate': 0.00018470646275283673, 'epoch': 0.12}
{'loss': 0.5487, 'grad_norm': 0.6361657381057739, 'learning_rate': 0.00018460779477059695, 'epoch': 0.12}
{'loss': 0.6298, 'grad_norm': 0.6217411160469055, 'learning_rate': 0.0001845091267883572, 'epoch': 0.12}
{'loss': 0.7415, 'grad_norm': 0.802891194820404, 'learning_rate': 0.00018441045880611742, 'epoch': 0.12}
{'loss': 0.5375, 'grad_norm': 0.5464765429496765, 'learning_rate': 0.00018431179082387767, 'epoch': 0.13}
{'loss': 0.5141, 'grad_norm': 0.5952001810073853, 'learning_rate': 0.0001842131228416379, 'epoch': 0.13}
{'loss': 0.5868, 'grad_norm': 0.687730073928833, 'learning_rate': 0.00018411445485939815, 'epoch': 0.13}
{'loss': 0.6402, 'grad_norm': 0.6509050130844116, 'learning_rate': 0.00018401578687715837, 'epoch': 0.13}
{'loss': 0.6393, 'grad_norm': 0.9731178283691406, 'learning_rate': 0.00018391711889491862, 'epoch': 0.13}
{'loss': 0.7242, 'grad_norm': 0.8172450661659241, 'learning_rate': 0.00018381845091267884, 'epoch': 0.13}
{'loss': 0.5893, 'grad_norm': 0.7100016474723816, 'learning_rate': 0.0001837197829304391, 'epoch': 0.13}
{'loss': 0.6408, 'grad_norm': 0.7720833420753479, 'learning_rate': 0.0001836211149481993, 'epoch': 0.13}
{'loss': 0.6368, 'grad_norm': 0.6360090970993042, 'learning_rate': 0.00018352244696595956, 'epoch': 0.13}
{'loss': 0.6506, 'grad_norm': 0.682800829410553, 'learning_rate': 0.00018342377898371978, 'epoch': 0.13}
{'loss': 0.6444, 'grad_norm': 0.7070903182029724, 'learning_rate': 0.00018332511100148003, 'epoch': 0.13}
{'loss': 0.6838, 'grad_norm': 0.6815199851989746, 'learning_rate': 0.00018322644301924025, 'epoch': 0.13}
{'loss': 0.5906, 'grad_norm': 0.65223228931427, 'learning_rate': 0.0001831277750370005, 'epoch': 0.13}
{'loss': 0.5488, 'grad_norm': 0.5694736838340759, 'learning_rate': 0.00018302910705476073, 'epoch': 0.13}
{'loss': 0.5687, 'grad_norm': 0.6834794878959656, 'learning_rate': 0.00018293043907252097, 'epoch': 0.13}
{'loss': 0.6999, 'grad_norm': 0.7310705184936523, 'learning_rate': 0.00018283177109028122, 'epoch': 0.13}
{'loss': 0.5136, 'grad_norm': 0.4911116361618042, 'learning_rate': 0.00018273310310804145, 'epoch': 0.13}
{'loss': 0.6425, 'grad_norm': 0.6797564625740051, 'learning_rate': 0.0001826344351258017, 'epoch': 0.13}
{'loss': 0.4043, 'grad_norm': 0.44617316126823425, 'learning_rate': 0.00018253576714356192, 'epoch': 0.13}
{'loss': 0.4973, 'grad_norm': 0.525637686252594, 'learning_rate': 0.00018243709916132217, 'epoch': 0.13}
{'loss': 0.6059, 'grad_norm': 0.7038842439651489, 'learning_rate': 0.0001823384311790824, 'epoch': 0.13}
{'loss': 0.4328, 'grad_norm': 0.5388807654380798, 'learning_rate': 0.00018223976319684264, 'epoch': 0.13}
{'loss': 0.68, 'grad_norm': 0.7767292261123657, 'learning_rate': 0.0001821410952146029, 'epoch': 0.14}
{'loss': 0.6002, 'grad_norm': 0.8539552092552185, 'learning_rate': 0.0001820424272323631, 'epoch': 0.14}
{'loss': 0.6404, 'grad_norm': 0.7108665704727173, 'learning_rate': 0.00018194375925012336, 'epoch': 0.14}
{'loss': 0.5303, 'grad_norm': 0.6410735249519348, 'learning_rate': 0.00018184509126788358, 'epoch': 0.14}
{'loss': 0.6003, 'grad_norm': 0.7320069074630737, 'learning_rate': 0.00018174642328564383, 'epoch': 0.14}
{'loss': 0.5365, 'grad_norm': 0.5986725091934204, 'learning_rate': 0.00018164775530340405, 'epoch': 0.14}
{'loss': 0.535, 'grad_norm': 0.6105768084526062, 'learning_rate': 0.0001815490873211643, 'epoch': 0.14}
{'loss': 0.5494, 'grad_norm': 0.5803927183151245, 'learning_rate': 0.00018145041933892453, 'epoch': 0.14}
{'loss': 0.6032, 'grad_norm': 0.5998483300209045, 'learning_rate': 0.00018135175135668477, 'epoch': 0.14}
{'loss': 0.5408, 'grad_norm': 0.5368843674659729, 'learning_rate': 0.000181253083374445, 'epoch': 0.14}
{'loss': 0.6574, 'grad_norm': 0.6602946519851685, 'learning_rate': 0.00018115441539220525, 'epoch': 0.14}
{'loss': 0.542, 'grad_norm': 0.5220043659210205, 'learning_rate': 0.00018105574740996547, 'epoch': 0.14}
{'loss': 0.6388, 'grad_norm': 0.6841408610343933, 'learning_rate': 0.00018095707942772572, 'epoch': 0.14}
{'loss': 0.5021, 'grad_norm': 0.5574377775192261, 'learning_rate': 0.00018085841144548594, 'epoch': 0.14}
{'loss': 0.662, 'grad_norm': 0.6337711811065674, 'learning_rate': 0.0001807597434632462, 'epoch': 0.14}
{'loss': 0.6151, 'grad_norm': 0.6517677903175354, 'learning_rate': 0.0001806610754810064, 'epoch': 0.14}
{'loss': 0.634, 'grad_norm': 0.6189500093460083, 'learning_rate': 0.00018056240749876666, 'epoch': 0.14}
{'loss': 0.6524, 'grad_norm': 0.5934876799583435, 'learning_rate': 0.00018046373951652688, 'epoch': 0.14}
{'loss': 0.6293, 'grad_norm': 0.7184064984321594, 'learning_rate': 0.00018036507153428713, 'epoch': 0.14}
{'loss': 0.4911, 'grad_norm': 0.5516676902770996, 'learning_rate': 0.00018026640355204735, 'epoch': 0.14}
{'loss': 0.5128, 'grad_norm': 0.676869809627533, 'learning_rate': 0.0001801677355698076, 'epoch': 0.14}
{'loss': 0.6979, 'grad_norm': 0.7760329246520996, 'learning_rate': 0.00018006906758756785, 'epoch': 0.15}
{'loss': 0.5406, 'grad_norm': 0.5912572741508484, 'learning_rate': 0.00017997039960532808, 'epoch': 0.15}
{'loss': 0.5743, 'grad_norm': 0.644396185874939, 'learning_rate': 0.00017987173162308832, 'epoch': 0.15}
 15%|█▍        | 312/2134 [08:07<37:59,  1.25s/it]
 15%|█▍        | 313/2134 [08:08<35:21,  1.17s/it]
                                                  

 15%|█▍        | 313/2134 [08:08<35:21,  1.17s/it]
 15%|█▍        | 314/2134 [08:09<33:43,  1.11s/it]
                                                  

 15%|█▍        | 314/2134 [08:09<33:43,  1.11s/it]
 15%|█▍        | 315/2134 [08:09<32:15,  1.06s/it]
                                                  

 15%|█▍        | 315/2134 [08:09<32:15,  1.06s/it]
 15%|█▍        | 316/2134 [08:10<31:12,  1.03s/it]
                                                  

 15%|█▍        | 316/2134 [08:10<31:12,  1.03s/it]
 15%|█▍        | 317/2134 [08:11<30:30,  1.01s/it]
                                                  

 15%|█▍        | 317/2134 [08:11<30:30,  1.01s/it]
 15%|█▍        | 318/2134 [08:12<30:02,  1.01it/s]
                                                  

 15%|█▍        | 318/2134 [08:12<30:02,  1.01it/s]
 15%|█▍        | 319/2134 [08:13<29:44,  1.02it/s]
                                                  

 15%|█▍        | 319/2134 [08:13<29:44,  1.02it/s]
 15%|█▍        | 320/2134 [08:14<29:34,  1.02it/s]
                                                  

 15%|█▍        | 320/2134 [08:14<29:34,  1.02it/s]
 15%|█▌        | 321/2134 [08:15<29:40,  1.02it/s]
                                                  

 15%|█▌        | 321/2134 [08:15<29:40,  1.02it/s]
 15%|█▌        | 322/2134 [08:16<29:44,  1.02it/s]
                                                  

 15%|█▌        | 322/2134 [08:16<29:44,  1.02it/s]
 15%|█▌        | 323/2134 [08:17<29:41,  1.02it/s]
                                                  

 15%|█▌        | 323/2134 [08:17<29:41,  1.02it/s]
 15%|█▌        | 324/2134 [08:18<29:41,  1.02it/s]
                                                  

 15%|█▌        | 324/2134 [08:18<29:41,  1.02it/s]
 15%|█▌        | 325/2134 [08:33<2:37:00,  5.21s/it]
                                                    

 15%|█▌        | 325/2134 [08:33<2:37:00,  5.21s/it]
 15%|█▌        | 326/2134 [08:35<2:02:15,  4.06s/it]
                                                    

 15%|█▌        | 326/2134 [08:35<2:02:15,  4.06s/it]
 15%|█▌        | 327/2134 [08:36<1:33:53,  3.12s/it]
                                                    

 15%|█▌        | 327/2134 [08:36<1:33:53,  3.12s/it]
 15%|█▌        | 328/2134 [08:37<1:14:09,  2.46s/it]
                                                    

 15%|█▌        | 328/2134 [08:37<1:14:09,  2.46s/it]
 15%|█▌        | 329/2134 [08:37<1:00:17,  2.00s/it]
                                                    

 15%|█▌        | 329/2134 [08:37<1:00:17,  2.00s/it]
 15%|█▌        | 330/2134 [08:38<50:33,  1.68s/it]  
                                                  

 15%|█▌        | 330/2134 [08:38<50:33,  1.68s/it]
 16%|█▌        | 331/2134 [08:39<43:43,  1.46s/it]
                                                  

 16%|█▌        | 331/2134 [08:39<43:43,  1.46s/it]
 16%|█▌        | 332/2134 [08:40<38:55,  1.30s/it]
                                                  

 16%|█▌        | 332/2134 [08:40<38:55,  1.30s/it]
 16%|█▌        | 333/2134 [08:41<35:32,  1.18s/it]
                                                  

 16%|█▌        | 333/2134 [08:41<35:32,  1.18s/it]
 16%|█▌        | 334/2134 [08:42<33:13,  1.11s/it]
                                                  

 16%|█▌        | 334/2134 [08:42<33:13,  1.11s/it]
 16%|█▌        | 335/2134 [08:43<31:34,  1.05s/it]
                                                  

 16%|█▌        | 335/2134 [08:43<31:34,  1.05s/it]
 16%|█▌        | 336/2134 [08:44<30:25,  1.02s/it]
                                                  

 16%|█▌        | 336/2134 [08:44<30:25,  1.02s/it]
 16%|█▌        | 337/2134 [08:45<29:34,  1.01it/s]
                                                  

 16%|█▌        | 337/2134 [08:45<29:34,  1.01it/s]
 16%|█▌        | 338/2134 [08:46<29:10,  1.03it/s]
                                                  

 16%|█▌        | 338/2134 [08:46<29:10,  1.03it/s]
 16%|█▌        | 339/2134 [08:47<28:41,  1.04it/s]
                                                  

 16%|█▌        | 339/2134 [08:47<28:41,  1.04it/s]
 16%|█▌        | 340/2134 [08:48<28:19,  1.06it/s]
                                                  

 16%|█▌        | 340/2134 [08:48<28:19,  1.06it/s]
 16%|█▌        | 341/2134 [08:49<28:05,  1.06it/s]
                                                  

 16%|█▌        | 341/2134 [08:49<28:05,  1.06it/s]
 16%|█▌        | 342/2134 [08:50<27:54,  1.07it/s]
                                                  

 16%|█▌        | 342/2134 [08:50<27:54,  1.07it/s]
 16%|█▌        | 343/2134 [08:50<28:03,  1.06it/s]
                                                  

 16%|█▌        | 343/2134 [08:50<28:03,  1.06it/s]
 16%|█▌        | 344/2134 [08:51<27:55,  1.07it/s]
                                                  

 16%|█▌        | 344/2134 [08:51<27:55,  1.07it/s]
 16%|█▌        | 345/2134 [08:52<27:51,  1.07it/s]
                                                  

 16%|█▌        | 345/2134 [08:52<27:51,  1.07it/s]
 16%|█▌        | 346/2134 [08:53<27:45,  1.07it/s]
                                                  

 16%|█▌        | 346/2134 [08:53<27:45,  1.07it/s]
 16%|█▋        | 347/2134 [08:54<27:40,  1.08it/s]
                                                  

 16%|█▋        | 347/2134 [08:54<27:40,  1.08it/s]
 16%|█▋        | 348/2134 [08:55<27:35,  1.08it/s]
                                                  

 16%|█▋        | 348/2134 [08:55<27:35,  1.08it/s]
 16%|█▋        | 349/2134 [08:56<27:31,  1.08it/s]
                                                  

 16%|█▋        | 349/2134 [08:56<27:31,  1.08it/s]
 16%|█▋        | 350/2134 [09:15<3:07:18,  6.30s/it]
                                                    

 16%|█▋        | 350/2134 [09:15<3:07:18,  6.30s/it]
 16%|█▋        | 351/2134 [09:16<2:19:21,  4.69s/it]
                                                    

 16%|█▋        | 351/2134 [09:16<2:19:21,  4.69s/it]
 16%|█▋        | 352/2134 [09:17<1:45:45,  3.56s/it]
                                                    

 16%|█▋        | 352/2134 [09:17<1:45:45,  3.56s/it]
 17%|█▋        | 353/2134 [09:18<1:22:13,  2.77s/it]
                                                    

 17%|█▋        | 353/2134 [09:18<1:22:13,  2.77s/it]
 17%|█▋        | 354/2134 [09:19<1:05:51,  2.22s/it]
                                                    

 17%|█▋        | 354/2134 [09:19<1:05:51,  2.22s/it]
 17%|█▋        | 355/2134 [09:19<54:19,  1.83s/it]  
                                                  

 17%|█▋        | 355/2134 [09:19<54:19,  1.83s/it]
 17%|█▋        | 356/2134 [09:20<46:15,  1.56s/it]
                                                  

 17%|█▋        | 356/2134 [09:20<46:15,  1.56s/it]
 17%|█▋        | 357/2134 [09:21<40:39,  1.37s/it]
                                                  

 17%|█▋        | 357/2134 [09:21<40:39,  1.37s/it]
 17%|█▋        | 358/2134 [09:22<36:56,  1.25s/it]
                                                  

 17%|█▋        | 358/2134 [09:22<36:56,  1.25s/it]
 17%|█▋        | 359/2134 [09:23<34:10,  1.16s/it]
                                                  

 17%|█▋        | 359/2134 [09:23<34:10,  1.16s/it]
 17%|█▋        | 360/2134 [09:24<32:11,  1.09s/it]
                                                  

 17%|█▋        | 360/2134 [09:24<32:11,  1.09s/it]
 17%|█▋        | 361/2134 [09:25<30:48,  1.04s/it]
                                                  

 17%|█▋        | 361/2134 [09:25<30:48,  1.04s/it]
 17%|█▋        | 362/2134 [09:26<29:59,  1.02s/it]
                                                  

 17%|█▋        | 362/2134 [09:26<29:59,  1.02s/it]
 17%|█▋        | 363/2134 [09:27<29:17,  1.01it/s]
                                                  

 17%|█▋        | 363/2134 [09:27<29:17,  1.01it/s]
 17%|█▋        | 364/2134 [09:28<28:47,  1.02it/s]
                                                  

 17%|█▋        | 364/2134 [09:28<28:47,  1.02it/s]
 17%|█▋        | 365/2134 [09:29<28:19,  1.04it/s]
                                                  

 17%|█▋        | 365/2134 [09:29<28:19,  1.04it/s]
 17%|█▋        | 366/2134 [09:30<28:02,  1.05it/s]
                                                  

 17%|█▋        | 366/2134 [09:30<28:02,  1.05it/s]
 17%|█▋        | 367/2134 [09:31<28:00,  1.05it/s]
                                                  

 17%|█▋        | 367/2134 [09:31<28:00,  1.05it/s]
 17%|█▋        | 368/2134 [09:32<27:44,  1.06it/s]
                                                  

 17%|█▋        | 368/2134 [09:32<27:44,  1.06it/s]
 17%|█▋        | 369/2134 [09:33<27:33,  1.07it/s]
                                                  

 17%|█▋        | 369/2134 [09:33<27:33,  1.07it/s]
 17%|█▋        | 370/2134 [09:34<27:25,  1.07it/s]
                                                  

 17%|█▋        | 370/2134 [09:34<27:25,  1.07it/s]
 17%|█▋        | 371/2134 [09:35<30:38,  1.04s/it]
                                                  

 17%|█▋        | 371/2134 [09:35<30:38,  1.04s/it]
 17%|█▋        | 372/2134 [09:37<36:26,  1.24s/it]
                                                  

 17%|█▋        | 372/2134 [09:37<36:26,  1.24s/it]
 17%|█▋        | 373/2134 [09:38<41:38,  1.42s/it]
                                                  

 17%|█▋        | 373/2134 [09:38<41:38,  1.42s/it]
 18%|█▊        | 374/2134 [09:39<37:45,  1.29s/it]
                                                  

 18%|█▊        | 374/2134 [09:39<37:45,  1.29s/it]
 18%|█▊        | 375/2134 [09:53<2:26:29,  5.00s/it]
                                                    

 18%|█▊        | 375/2134 [09:53<2:26:29,  5.00s/it]
 18%|█▊        | 376/2134 [09:54<1:50:39,  3.78s/it]
                                                    

 18%|█▊        | 376/2134 [09:54<1:50:39,  3.78s/it]
 18%|█▊        | 377/2134 [09:55<1:25:31,  2.92s/it]
                                                    

 18%|█▊        | 377/2134 [09:55<1:25:31,  2.92s/it]
 18%|█▊        | 378/2134 [09:56<1:07:55,  2.32s/it]
                                                    

 18%|█▊        | 378/2134 [09:56<1:07:55,  2.32s/it]
 18%|█▊        | 379/2134 [09:57<55:36,  1.90s/it]  
                                                  

 18%|█▊        | 379/2134 [09:57<55:36,  1.90s/it]
 18%|█▊        | 380/2134 [09:58<46:58,  1.61s/it]
                                                  

 18%|█▊        | 380/2134 [09:58<46:58,  1.61s/it]
 18%|█▊        | 381/2134 [09:59<41:01,  1.40s/it]
                                                  

 18%|█▊        | 381/2134 [09:59<41:01,  1.40s/it]
 18%|█▊        | 382/2134 [09:59<36:48,  1.26s/it]
                                                  

 18%|█▊        | 382/2134 [09:59<36:48,  1.26s/it]
 18%|█▊        | 383/2134 [10:00<33:56,  1.16s/it]
                                                  

 18%|█▊        | 383/2134 [10:00<33:56,  1.16s/it]
 18%|█▊        | 384/2134 [10:01<31:52,  1.09s/it]
                                                  

 18%|█▊        | 384/2134 [10:01<31:52,  1.09s/it]
 18%|█▊        | 385/2134 [10:02<30:40,  1.05s/it]
                                                  

 18%|█▊        | 385/2134 [10:02<30:40,  1.05s/it]
 18%|█▊        | 386/2134 [10:03<29:36,  1.02s/it]
                                                  

 18%|█▊        | 386/2134 [10:03<29:36,  1.02s/it]
 18%|█▊        | 387/2134 [10:04<28:47,  1.01it/s]
                                                  

 18%|█▊        | 387/2134 [10:04<28:47,  1.01it/s]
 18%|█▊        | 388/2134 [10:05<28:15,  1.03it/s]
                                                  

 18%|█▊        | 388/2134 [10:05<28:15,  1.03it/s]
 18%|█▊        | 389/2134 [10:06<27:54,  1.04it/s]
                                                  

 18%|█▊        | 389/2134 [10:06<27:54,  1.04it/s]
 18%|█▊        | 390/2134 [10:07<27:38,  1.05it/s]
                                                  
{'loss': 0.5972, 'grad_norm': 0.7443939447402954, 'learning_rate': 0.00017977306364084855, 'epoch': 0.15}
{'loss': 0.4843, 'grad_norm': 0.5531697869300842, 'learning_rate': 0.0001796743956586088, 'epoch': 0.15}
{'loss': 0.6007, 'grad_norm': 0.6749802231788635, 'learning_rate': 0.00017957572767636905, 'epoch': 0.15}
{'loss': 0.4611, 'grad_norm': 0.5273696184158325, 'learning_rate': 0.00017947705969412927, 'epoch': 0.15}
{'loss': 0.4834, 'grad_norm': 0.5456468462944031, 'learning_rate': 0.00017937839171188952, 'epoch': 0.15}
{'loss': 0.4155, 'grad_norm': 0.5832000374794006, 'learning_rate': 0.00017927972372964974, 'epoch': 0.15}
{'loss': 0.5083, 'grad_norm': 0.5734657645225525, 'learning_rate': 0.00017918105574741, 'epoch': 0.15}
{'loss': 0.3984, 'grad_norm': 0.5243636965751648, 'learning_rate': 0.0001790823877651702, 'epoch': 0.15}
{'loss': 0.584, 'grad_norm': 0.6302680373191833, 'learning_rate': 0.00017898371978293046, 'epoch': 0.15}
{'loss': 0.7281, 'grad_norm': 0.774671733379364, 'learning_rate': 0.00017888505180069068, 'epoch': 0.15}
{'loss': 0.4598, 'grad_norm': 0.5559261441230774, 'learning_rate': 0.00017878638381845093, 'epoch': 0.15}
{'loss': 0.3732, 'grad_norm': 0.4331277906894684, 'learning_rate': 0.00017868771583621115, 'epoch': 0.15}
{'loss': 0.545, 'grad_norm': 0.6199917793273926, 'learning_rate': 0.0001785890478539714, 'epoch': 0.15}
{'loss': 0.4509, 'grad_norm': 0.5039140582084656, 'learning_rate': 0.00017849037987173163, 'epoch': 0.15}
{'loss': 0.4763, 'grad_norm': 0.48170679807662964, 'learning_rate': 0.00017839171188949187, 'epoch': 0.15}
{'loss': 0.5608, 'grad_norm': 0.702012300491333, 'learning_rate': 0.0001782930439072521, 'epoch': 0.15}
{'loss': 0.743, 'grad_norm': 0.855776309967041, 'learning_rate': 0.00017819437592501235, 'epoch': 0.15}
{'loss': 0.4915, 'grad_norm': 0.5132402777671814, 'learning_rate': 0.00017809570794277257, 'epoch': 0.15}
{'loss': 0.6188, 'grad_norm': 0.8358458876609802, 'learning_rate': 0.00017799703996053282, 'epoch': 0.16}
{'loss': 0.4514, 'grad_norm': 0.6022942066192627, 'learning_rate': 0.00017789837197829304, 'epoch': 0.16}
{'loss': 0.5202, 'grad_norm': 0.6205239295959473, 'learning_rate': 0.0001777997039960533, 'epoch': 0.16}
{'loss': 0.5678, 'grad_norm': 0.6424235701560974, 'learning_rate': 0.0001777010360138135, 'epoch': 0.16}
{'loss': 0.452, 'grad_norm': 0.623203456401825, 'learning_rate': 0.00017760236803157376, 'epoch': 0.16}
{'loss': 0.4815, 'grad_norm': 0.6630762219429016, 'learning_rate': 0.000177503700049334, 'epoch': 0.16}
{'loss': 0.472, 'grad_norm': 0.7573725581169128, 'learning_rate': 0.00017740503206709423, 'epoch': 0.16}
{'loss': 0.3992, 'grad_norm': 0.5907177329063416, 'learning_rate': 0.00017730636408485448, 'epoch': 0.16}
{'loss': 0.5414, 'grad_norm': 0.7821168303489685, 'learning_rate': 0.0001772076961026147, 'epoch': 0.16}
{'loss': 0.5578, 'grad_norm': 0.7244840860366821, 'learning_rate': 0.00017710902812037495, 'epoch': 0.16}
{'loss': 0.5529, 'grad_norm': 0.7034308314323425, 'learning_rate': 0.0001770103601381352, 'epoch': 0.16}
{'loss': 0.6234, 'grad_norm': 0.6804304122924805, 'learning_rate': 0.00017691169215589542, 'epoch': 0.16}
{'loss': 0.411, 'grad_norm': 0.5791612863540649, 'learning_rate': 0.00017681302417365567, 'epoch': 0.16}
{'loss': 0.4919, 'grad_norm': 0.5642701387405396, 'learning_rate': 0.0001767143561914159, 'epoch': 0.16}
{'loss': 0.4722, 'grad_norm': 0.5410422682762146, 'learning_rate': 0.00017661568820917615, 'epoch': 0.16}
{'loss': 0.4692, 'grad_norm': 0.5636738538742065, 'learning_rate': 0.00017651702022693637, 'epoch': 0.16}
{'loss': 0.6054, 'grad_norm': 0.6679723858833313, 'learning_rate': 0.00017641835224469662, 'epoch': 0.16}
{'loss': 0.4992, 'grad_norm': 0.5548158288002014, 'learning_rate': 0.00017631968426245684, 'epoch': 0.16}
{'loss': 0.5082, 'grad_norm': 0.6067688465118408, 'learning_rate': 0.0001762210162802171, 'epoch': 0.16}
{'loss': 0.5922, 'grad_norm': 0.7294280529022217, 'learning_rate': 0.0001761223482979773, 'epoch': 0.16}
{'loss': 0.5384, 'grad_norm': 0.6112393736839294, 'learning_rate': 0.00017602368031573756, 'epoch': 0.16}
{'loss': 0.5895, 'grad_norm': 0.8283897638320923, 'learning_rate': 0.00017592501233349778, 'epoch': 0.16}
{'loss': 0.5243, 'grad_norm': 0.6969385147094727, 'learning_rate': 0.00017582634435125803, 'epoch': 0.17}
{'loss': 0.4749, 'grad_norm': 0.6328383088111877, 'learning_rate': 0.00017572767636901825, 'epoch': 0.17}
{'loss': 0.5678, 'grad_norm': 0.6258214712142944, 'learning_rate': 0.0001756290083867785, 'epoch': 0.17}
{'loss': 0.4674, 'grad_norm': 0.5126450657844543, 'learning_rate': 0.00017553034040453873, 'epoch': 0.17}
{'loss': 0.5235, 'grad_norm': 0.5638320446014404, 'learning_rate': 0.00017543167242229898, 'epoch': 0.17}
{'loss': 0.5062, 'grad_norm': 0.6171153783798218, 'learning_rate': 0.0001753330044400592, 'epoch': 0.17}
{'loss': 0.6048, 'grad_norm': 0.7049266695976257, 'learning_rate': 0.00017523433645781945, 'epoch': 0.17}
{'loss': 0.6057, 'grad_norm': 0.7418276071548462, 'learning_rate': 0.00017513566847557967, 'epoch': 0.17}
{'loss': 0.5159, 'grad_norm': 0.6691328287124634, 'learning_rate': 0.00017503700049333992, 'epoch': 0.17}
{'loss': 0.503, 'grad_norm': 0.6176152229309082, 'learning_rate': 0.00017493833251110017, 'epoch': 0.17}
{'loss': 0.5291, 'grad_norm': 0.6405202150344849, 'learning_rate': 0.0001748396645288604, 'epoch': 0.17}
{'loss': 0.6089, 'grad_norm': 0.6826370358467102, 'learning_rate': 0.00017474099654662064, 'epoch': 0.17}
{'loss': 0.5931, 'grad_norm': 0.7606440186500549, 'learning_rate': 0.00017464232856438086, 'epoch': 0.17}
{'loss': 0.4451, 'grad_norm': 0.5197699069976807, 'learning_rate': 0.0001745436605821411, 'epoch': 0.17}
{'loss': 0.516, 'grad_norm': 0.6618386507034302, 'learning_rate': 0.00017444499259990136, 'epoch': 0.17}
{'loss': 0.5795, 'grad_norm': 0.6961575150489807, 'learning_rate': 0.00017434632461766158, 'epoch': 0.17}
{'loss': 0.4618, 'grad_norm': 0.6068187952041626, 'learning_rate': 0.00017424765663542183, 'epoch': 0.17}
{'loss': 0.608, 'grad_norm': 0.7860299348831177, 'learning_rate': 0.00017414898865318205, 'epoch': 0.17}
{'loss': 0.4351, 'grad_norm': 0.7336170077323914, 'learning_rate': 0.0001740503206709423, 'epoch': 0.17}
{'loss': 0.5006, 'grad_norm': 0.7164977788925171, 'learning_rate': 0.00017395165268870253, 'epoch': 0.17}
{'loss': 0.4307, 'grad_norm': 0.6746013164520264, 'learning_rate': 0.00017385298470646277, 'epoch': 0.17}
{'loss': 0.5201, 'grad_norm': 0.7642472386360168, 'learning_rate': 0.000173754316724223, 'epoch': 0.18}
{'loss': 0.4943, 'grad_norm': 0.7181789875030518, 'learning_rate': 0.00017365564874198325, 'epoch': 0.18}
{'loss': 0.386, 'grad_norm': 0.5952513813972473, 'learning_rate': 0.00017355698075974347, 'epoch': 0.18}
{'loss': 0.3791, 'grad_norm': 0.663555920124054, 'learning_rate': 0.00017345831277750372, 'epoch': 0.18}
{'loss': 0.4833, 'grad_norm': 0.8339713215827942, 'learning_rate': 0.00017335964479526394, 'epoch': 0.18}
{'loss': 0.4725, 'grad_norm': 0.7076971530914307, 'learning_rate': 0.0001732609768130242, 'epoch': 0.18}
{'loss': 0.5972, 'grad_norm': 0.8813134431838989, 'learning_rate': 0.0001731623088307844, 'epoch': 0.18}
{'loss': 0.501, 'grad_norm': 0.6685529351234436, 'learning_rate': 0.00017306364084854466, 'epoch': 0.18}
{'loss': 0.544, 'grad_norm': 0.7219942808151245, 'learning_rate': 0.00017296497286630488, 'epoch': 0.18}
{'loss': 0.5132, 'grad_norm': 0.706224799156189, 'learning_rate': 0.00017286630488406513, 'epoch': 0.18}
{'loss': 0.5326, 'grad_norm': 0.5752463936805725, 'learning_rate': 0.00017276763690182535, 'epoch': 0.18}
{'loss': 0.437, 'grad_norm': 0.5358219742774963, 'learning_rate': 0.0001726689689195856, 'epoch': 0.18}
{'loss': 0.448, 'grad_norm': 0.6880390644073486, 'learning_rate': 0.00017257030093734583, 'epoch': 0.18}
{'loss': 0.491, 'grad_norm': 0.6552555561065674, 'learning_rate': 0.00017247163295510608, 'epoch': 0.18}
{'loss': 0.5944, 'grad_norm': 0.8619781732559204, 'learning_rate': 0.0001723729649728663, 'epoch': 0.18}
{'loss': 0.5296, 'grad_norm': 0.740897536277771, 'learning_rate': 0.00017227429699062655, 'epoch': 0.18}
{'loss': 0.5411, 'grad_norm': 0.6861552596092224, 'learning_rate': 0.0001721756290083868, 'epoch': 0.18}
 18%|█▊        | 390/2134 [10:07<27:38,  1.05it/s]
 18%|█▊        | 391/2134 [10:08<29:56,  1.03s/it]
                                                  

 18%|█▊        | 391/2134 [10:08<29:56,  1.03s/it]
 18%|█▊        | 392/2134 [10:10<33:03,  1.14s/it]
                                                  

 18%|█▊        | 392/2134 [10:10<33:03,  1.14s/it]
 18%|█▊        | 393/2134 [10:11<37:22,  1.29s/it]
                                                  

 18%|█▊        | 393/2134 [10:11<37:22,  1.29s/it]
 18%|█▊        | 394/2134 [10:13<37:55,  1.31s/it]
                                                  

 18%|█▊        | 394/2134 [10:13<37:55,  1.31s/it]
 19%|█▊        | 395/2134 [10:13<34:37,  1.19s/it]
                                                  

 19%|█▊        | 395/2134 [10:13<34:37,  1.19s/it]
 19%|█▊        | 396/2134 [10:14<32:18,  1.12s/it]
                                                  

 19%|█▊        | 396/2134 [10:14<32:18,  1.12s/it]
 19%|█▊        | 397/2134 [10:15<30:42,  1.06s/it]
                                                  

 19%|█▊        | 397/2134 [10:15<30:42,  1.06s/it]
 19%|█▊        | 398/2134 [10:16<29:32,  1.02s/it]
                                                  

 19%|█▊        | 398/2134 [10:16<29:32,  1.02s/it]
 19%|█▊        | 399/2134 [10:17<28:42,  1.01it/s]
                                                  

 19%|█▊        | 399/2134 [10:17<28:42,  1.01it/s]
 19%|█▊        | 400/2134 [10:31<2:22:34,  4.93s/it]
                                                    

 19%|█▊        | 400/2134 [10:31<2:22:34,  4.93s/it]
 19%|█▉        | 401/2134 [10:32<1:47:50,  3.73s/it]
                                                    

 19%|█▉        | 401/2134 [10:32<1:47:50,  3.73s/it]
 19%|█▉        | 402/2134 [10:33<1:23:27,  2.89s/it]
                                                    

 19%|█▉        | 402/2134 [10:33<1:23:27,  2.89s/it]
 19%|█▉        | 403/2134 [10:34<1:06:21,  2.30s/it]
                                                    

 19%|█▉        | 403/2134 [10:34<1:06:21,  2.30s/it]
 19%|█▉        | 404/2134 [10:35<54:22,  1.89s/it]  
                                                  

 19%|█▉        | 404/2134 [10:35<54:22,  1.89s/it]
 19%|█▉        | 405/2134 [10:36<46:01,  1.60s/it]
                                                  

 19%|█▉        | 405/2134 [10:36<46:01,  1.60s/it]
 19%|█▉        | 406/2134 [10:37<40:10,  1.39s/it]
                                                  

 19%|█▉        | 406/2134 [10:37<40:10,  1.39s/it]
 19%|█▉        | 407/2134 [10:38<36:04,  1.25s/it]
                                                  

 19%|█▉        | 407/2134 [10:38<36:04,  1.25s/it]
 19%|█▉        | 408/2134 [10:39<33:14,  1.16s/it]
                                                  

 19%|█▉        | 408/2134 [10:39<33:14,  1.16s/it]
 19%|█▉        | 409/2134 [10:40<31:14,  1.09s/it]
                                                  

 19%|█▉        | 409/2134 [10:40<31:14,  1.09s/it]
 19%|█▉        | 410/2134 [10:41<29:49,  1.04s/it]
                                                  

 19%|█▉        | 410/2134 [10:41<29:49,  1.04s/it]
 19%|█▉        | 411/2134 [10:42<29:35,  1.03s/it]
                                                  

 19%|█▉        | 411/2134 [10:42<29:35,  1.03s/it]
 19%|█▉        | 412/2134 [10:43<33:07,  1.15s/it]
                                                  

 19%|█▉        | 412/2134 [10:43<33:07,  1.15s/it]
 19%|█▉        | 413/2134 [10:45<36:25,  1.27s/it]
                                                  

 19%|█▉        | 413/2134 [10:45<36:25,  1.27s/it]
 19%|█▉        | 414/2134 [10:46<39:01,  1.36s/it]
                                                  

 19%|█▉        | 414/2134 [10:46<39:01,  1.36s/it]
 19%|█▉        | 415/2134 [10:47<35:22,  1.23s/it]
                                                  

 19%|█▉        | 415/2134 [10:47<35:22,  1.23s/it]
 19%|█▉        | 416/2134 [10:48<32:44,  1.14s/it]
                                                  

 19%|█▉        | 416/2134 [10:48<32:44,  1.14s/it]
 20%|█▉        | 417/2134 [10:49<30:54,  1.08s/it]
                                                  

 20%|█▉        | 417/2134 [10:49<30:54,  1.08s/it]
 20%|█▉        | 418/2134 [10:50<29:35,  1.03s/it]
                                                  

 20%|█▉        | 418/2134 [10:50<29:35,  1.03s/it]
 20%|█▉        | 419/2134 [10:51<28:41,  1.00s/it]
                                                  

 20%|█▉        | 419/2134 [10:51<28:41,  1.00s/it]
 20%|█▉        | 420/2134 [10:52<28:03,  1.02it/s]
                                                  

 20%|█▉        | 420/2134 [10:52<28:03,  1.02it/s]
 20%|█▉        | 421/2134 [10:53<27:32,  1.04it/s]
                                                  

 20%|█▉        | 421/2134 [10:53<27:32,  1.04it/s]
 20%|█▉        | 422/2134 [10:54<27:21,  1.04it/s]
                                                  

 20%|█▉        | 422/2134 [10:54<27:21,  1.04it/s]
 20%|█▉        | 423/2134 [10:55<27:16,  1.05it/s]
                                                  

 20%|█▉        | 423/2134 [10:55<27:16,  1.05it/s]
 20%|█▉        | 424/2134 [10:55<27:09,  1.05it/s]
                                                  

 20%|█▉        | 424/2134 [10:55<27:09,  1.05it/s]
 20%|█▉        | 425/2134 [11:10<2:18:46,  4.87s/it]
                                                    

 20%|█▉        | 425/2134 [11:10<2:18:46,  4.87s/it]
 20%|█▉        | 426/2134 [11:10<1:45:08,  3.69s/it]
                                                    

 20%|█▉        | 426/2134 [11:10<1:45:08,  3.69s/it]
 20%|██        | 427/2134 [11:11<1:21:33,  2.87s/it]
                                                    

 20%|██        | 427/2134 [11:11<1:21:33,  2.87s/it]
 20%|██        | 428/2134 [11:12<1:05:08,  2.29s/it]
                                                    

 20%|██        | 428/2134 [11:12<1:05:08,  2.29s/it]
 20%|██        | 429/2134 [11:13<53:36,  1.89s/it]  
                                                  

 20%|██        | 429/2134 [11:13<53:36,  1.89s/it]
 20%|██        | 430/2134 [11:14<45:26,  1.60s/it]
                                                  

 20%|██        | 430/2134 [11:14<45:26,  1.60s/it]
 20%|██        | 431/2134 [11:15<39:59,  1.41s/it]
                                                  

 20%|██        | 431/2134 [11:15<39:59,  1.41s/it]
 20%|██        | 432/2134 [11:17<41:07,  1.45s/it]
                                                  

 20%|██        | 432/2134 [11:17<41:07,  1.45s/it]
 20%|██        | 433/2134 [11:18<41:38,  1.47s/it]
                                                  

 20%|██        | 433/2134 [11:18<41:38,  1.47s/it]
 20%|██        | 434/2134 [11:20<43:08,  1.52s/it]
                                                  

 20%|██        | 434/2134 [11:20<43:08,  1.52s/it]
 20%|██        | 435/2134 [11:21<38:07,  1.35s/it]
                                                  

 20%|██        | 435/2134 [11:21<38:07,  1.35s/it]
 20%|██        | 436/2134 [11:22<34:32,  1.22s/it]
                                                  

 20%|██        | 436/2134 [11:22<34:32,  1.22s/it]
 20%|██        | 437/2134 [11:23<32:05,  1.13s/it]
                                                  

 20%|██        | 437/2134 [11:23<32:05,  1.13s/it]
 21%|██        | 438/2134 [11:24<30:26,  1.08s/it]
                                                  

 21%|██        | 438/2134 [11:24<30:26,  1.08s/it]
 21%|██        | 439/2134 [11:25<29:10,  1.03s/it]
                                                  

 21%|██        | 439/2134 [11:25<29:10,  1.03s/it]
 21%|██        | 440/2134 [11:25<28:13,  1.00it/s]
                                                  

 21%|██        | 440/2134 [11:25<28:13,  1.00it/s]
 21%|██        | 441/2134 [11:26<27:48,  1.01it/s]
                                                  

 21%|██        | 441/2134 [11:26<27:48,  1.01it/s]
 21%|██        | 442/2134 [11:27<27:24,  1.03it/s]
                                                  

 21%|██        | 442/2134 [11:27<27:24,  1.03it/s]
 21%|██        | 443/2134 [11:28<27:19,  1.03it/s]
                                                  

 21%|██        | 443/2134 [11:28<27:19,  1.03it/s]
 21%|██        | 444/2134 [11:29<26:59,  1.04it/s]
                                                  

 21%|██        | 444/2134 [11:29<26:59,  1.04it/s]
 21%|██        | 445/2134 [11:30<26:42,  1.05it/s]
                                                  

 21%|██        | 445/2134 [11:30<26:42,  1.05it/s]
 21%|██        | 446/2134 [11:31<26:36,  1.06it/s]
                                                  

 21%|██        | 446/2134 [11:31<26:36,  1.06it/s]
 21%|██        | 447/2134 [11:32<26:34,  1.06it/s]
                                                  

 21%|██        | 447/2134 [11:32<26:34,  1.06it/s]
 21%|██        | 448/2134 [11:33<26:22,  1.07it/s]
                                                  

 21%|██        | 448/2134 [11:33<26:22,  1.07it/s]
 21%|██        | 449/2134 [11:34<26:14,  1.07it/s]
                                                  

 21%|██        | 449/2134 [11:34<26:14,  1.07it/s]
 21%|██        | 450/2134 [11:48<2:15:15,  4.82s/it]
                                                    

 21%|██        | 450/2134 [11:48<2:15:15,  4.82s/it]
 21%|██        | 451/2134 [11:49<1:42:34,  3.66s/it]
                                                    

 21%|██        | 451/2134 [11:49<1:42:34,  3.66s/it]
 21%|██        | 452/2134 [11:50<1:19:42,  2.84s/it]
                                                    

 21%|██        | 452/2134 [11:50<1:19:42,  2.84s/it]
 21%|██        | 453/2134 [11:51<1:03:43,  2.27s/it]
                                                    

 21%|██        | 453/2134 [11:51<1:03:43,  2.27s/it]
 21%|██▏       | 454/2134 [11:52<52:27,  1.87s/it]  
                                                  

 21%|██▏       | 454/2134 [11:52<52:27,  1.87s/it]
 21%|██▏       | 455/2134 [11:53<46:56,  1.68s/it]
                                                  

 21%|██▏       | 455/2134 [11:53<46:56,  1.68s/it]
 21%|██▏       | 456/2134 [11:55<47:13,  1.69s/it]
                                                  

 21%|██▏       | 456/2134 [11:55<47:13,  1.69s/it]
 21%|██▏       | 457/2134 [11:56<48:37,  1.74s/it]
                                                  

 21%|██▏       | 457/2134 [11:56<48:37,  1.74s/it]
 21%|██▏       | 458/2134 [11:57<42:39,  1.53s/it]
                                                  

 21%|██▏       | 458/2134 [11:57<42:39,  1.53s/it]
 22%|██▏       | 459/2134 [11:58<37:39,  1.35s/it]
                                                  

 22%|██▏       | 459/2134 [11:58<37:39,  1.35s/it]
 22%|██▏       | 460/2134 [11:59<34:15,  1.23s/it]
                                                  

 22%|██▏       | 460/2134 [11:59<34:15,  1.23s/it]
 22%|██▏       | 461/2134 [12:00<31:49,  1.14s/it]
                                                  

 22%|██▏       | 461/2134 [12:00<31:49,  1.14s/it]
 22%|██▏       | 462/2134 [12:01<30:07,  1.08s/it]
                                                  

 22%|██▏       | 462/2134 [12:01<30:07,  1.08s/it]
 22%|██▏       | 463/2134 [12:02<28:52,  1.04s/it]
                                                  

 22%|██▏       | 463/2134 [12:02<28:52,  1.04s/it]
 22%|██▏       | 464/2134 [12:03<28:02,  1.01s/it]
                                                  

 22%|██▏       | 464/2134 [12:03<28:02,  1.01s/it]
 22%|██▏       | 465/2134 [12:04<27:22,  1.02it/s]
                                                  

 22%|██▏       | 465/2134 [12:04<27:22,  1.02it/s]
 22%|██▏       | 466/2134 [12:05<26:54,  1.03it/s]
                                                  

 22%|██▏       | 466/2134 [12:05<26:54,  1.03it/s]
 22%|██▏       | 467/2134 [12:06<26:36,  1.04it/s]
                                                  

 22%|██▏       | 467/2134 [12:06<26:36,  1.04it/s]
 22%|██▏       | 468/2134 [12:07<26:22,  1.05it/s]
                                                  
{'loss': 0.3276, 'grad_norm': 0.5949535965919495, 'learning_rate': 0.00017207696102614702, 'epoch': 0.18}
{'loss': 0.5328, 'grad_norm': 0.757326602935791, 'learning_rate': 0.00017197829304390727, 'epoch': 0.18}
{'loss': 0.5306, 'grad_norm': 0.8811812400817871, 'learning_rate': 0.00017187962506166752, 'epoch': 0.18}
{'loss': 0.3547, 'grad_norm': 0.5443426966667175, 'learning_rate': 0.00017178095707942774, 'epoch': 0.18}
{'loss': 0.3707, 'grad_norm': 0.635692298412323, 'learning_rate': 0.000171682289097188, 'epoch': 0.19}
{'loss': 0.5429, 'grad_norm': 0.819531261920929, 'learning_rate': 0.0001715836211149482, 'epoch': 0.19}
{'loss': 0.3752, 'grad_norm': 0.584968090057373, 'learning_rate': 0.00017148495313270846, 'epoch': 0.19}
{'loss': 0.4666, 'grad_norm': 0.7145769000053406, 'learning_rate': 0.00017138628515046868, 'epoch': 0.19}
{'loss': 0.473, 'grad_norm': 0.7265790700912476, 'learning_rate': 0.00017128761716822893, 'epoch': 0.19}
{'loss': 0.436, 'grad_norm': 0.6873825192451477, 'learning_rate': 0.00017118894918598915, 'epoch': 0.19}
{'loss': 0.4001, 'grad_norm': 0.647476315498352, 'learning_rate': 0.0001710902812037494, 'epoch': 0.19}
{'loss': 0.5283, 'grad_norm': 0.7470631003379822, 'learning_rate': 0.00017099161322150963, 'epoch': 0.19}
{'loss': 0.4413, 'grad_norm': 0.6089779734611511, 'learning_rate': 0.00017089294523926988, 'epoch': 0.19}
{'loss': 0.4486, 'grad_norm': 0.6297021508216858, 'learning_rate': 0.0001707942772570301, 'epoch': 0.19}
{'loss': 0.4871, 'grad_norm': 0.7201449275016785, 'learning_rate': 0.00017069560927479035, 'epoch': 0.19}
{'loss': 0.4071, 'grad_norm': 0.5787184238433838, 'learning_rate': 0.00017059694129255057, 'epoch': 0.19}
{'loss': 0.6164, 'grad_norm': 0.9197596311569214, 'learning_rate': 0.00017049827331031082, 'epoch': 0.19}
{'loss': 0.46, 'grad_norm': 0.7323336601257324, 'learning_rate': 0.00017039960532807104, 'epoch': 0.19}
{'loss': 0.3941, 'grad_norm': 0.6000398993492126, 'learning_rate': 0.0001703009373458313, 'epoch': 0.19}
{'loss': 0.4105, 'grad_norm': 0.5914974212646484, 'learning_rate': 0.0001702022693635915, 'epoch': 0.19}
{'loss': 0.5492, 'grad_norm': 0.6988986730575562, 'learning_rate': 0.00017010360138135176, 'epoch': 0.19}
{'loss': 0.3938, 'grad_norm': 0.5737515091896057, 'learning_rate': 0.00017000493339911198, 'epoch': 0.19}
{'loss': 0.422, 'grad_norm': 0.6285287737846375, 'learning_rate': 0.00016990626541687223, 'epoch': 0.19}
{'loss': 0.3157, 'grad_norm': 0.5477361083030701, 'learning_rate': 0.00016980759743463246, 'epoch': 0.19}
{'loss': 0.4171, 'grad_norm': 0.6782829761505127, 'learning_rate': 0.0001697089294523927, 'epoch': 0.19}
{'loss': 0.5294, 'grad_norm': 0.9282516241073608, 'learning_rate': 0.00016961026147015295, 'epoch': 0.19}
{'loss': 0.5843, 'grad_norm': 0.7635527849197388, 'learning_rate': 0.0001695115934879132, 'epoch': 0.2}
{'loss': 0.4717, 'grad_norm': 0.6483392715454102, 'learning_rate': 0.00016941292550567343, 'epoch': 0.2}
{'loss': 0.4539, 'grad_norm': 0.6785815954208374, 'learning_rate': 0.00016931425752343367, 'epoch': 0.2}
{'loss': 0.4422, 'grad_norm': 0.7322831153869629, 'learning_rate': 0.0001692155895411939, 'epoch': 0.2}
{'loss': 0.4262, 'grad_norm': 0.6116934418678284, 'learning_rate': 0.00016911692155895415, 'epoch': 0.2}
{'loss': 0.4796, 'grad_norm': 0.7594679594039917, 'learning_rate': 0.00016901825357671437, 'epoch': 0.2}
{'loss': 0.4155, 'grad_norm': 0.6882877349853516, 'learning_rate': 0.00016891958559447462, 'epoch': 0.2}
{'loss': 0.4372, 'grad_norm': 0.7064615488052368, 'learning_rate': 0.00016882091761223484, 'epoch': 0.2}
{'loss': 0.4185, 'grad_norm': 0.7180743217468262, 'learning_rate': 0.0001687222496299951, 'epoch': 0.2}
{'loss': 0.4753, 'grad_norm': 0.7455386519432068, 'learning_rate': 0.0001686235816477553, 'epoch': 0.2}
{'loss': 0.4394, 'grad_norm': 0.7633659243583679, 'learning_rate': 0.00016852491366551556, 'epoch': 0.2}
{'loss': 0.4801, 'grad_norm': 0.7875471115112305, 'learning_rate': 0.00016842624568327578, 'epoch': 0.2}
{'loss': 0.4132, 'grad_norm': 0.7624646425247192, 'learning_rate': 0.00016832757770103603, 'epoch': 0.2}
{'loss': 0.3745, 'grad_norm': 0.6633467078208923, 'learning_rate': 0.00016822890971879625, 'epoch': 0.2}
{'loss': 0.4167, 'grad_norm': 0.7440717220306396, 'learning_rate': 0.0001681302417365565, 'epoch': 0.2}
{'loss': 0.4132, 'grad_norm': 0.6726561784744263, 'learning_rate': 0.00016803157375431673, 'epoch': 0.2}
{'loss': 0.4588, 'grad_norm': 0.7013120651245117, 'learning_rate': 0.00016793290577207698, 'epoch': 0.2}
{'loss': 0.4896, 'grad_norm': 0.7919816374778748, 'learning_rate': 0.0001678342377898372, 'epoch': 0.2}
{'loss': 0.4858, 'grad_norm': 0.8116560578346252, 'learning_rate': 0.00016773556980759745, 'epoch': 0.2}
{'loss': 0.3749, 'grad_norm': 0.6763216853141785, 'learning_rate': 0.00016763690182535767, 'epoch': 0.2}
{'loss': 0.5498, 'grad_norm': 0.8137782216072083, 'learning_rate': 0.00016753823384311792, 'epoch': 0.2}
{'loss': 0.4098, 'grad_norm': 0.7808703184127808, 'learning_rate': 0.00016743956586087814, 'epoch': 0.21}
{'loss': 0.4917, 'grad_norm': 0.726166307926178, 'learning_rate': 0.0001673408978786384, 'epoch': 0.21}
{'loss': 0.4838, 'grad_norm': 0.8996728658676147, 'learning_rate': 0.0001672422298963986, 'epoch': 0.21}
{'loss': 0.3689, 'grad_norm': 0.6270812153816223, 'learning_rate': 0.00016714356191415886, 'epoch': 0.21}
{'loss': 0.4041, 'grad_norm': 0.6762315034866333, 'learning_rate': 0.0001670448939319191, 'epoch': 0.21}
{'loss': 0.4061, 'grad_norm': 0.6593149304389954, 'learning_rate': 0.00016694622594967936, 'epoch': 0.21}
{'loss': 0.4349, 'grad_norm': 0.7671002745628357, 'learning_rate': 0.00016684755796743958, 'epoch': 0.21}
{'loss': 0.57, 'grad_norm': 0.9054897427558899, 'learning_rate': 0.00016674888998519983, 'epoch': 0.21}
{'loss': 0.4004, 'grad_norm': 0.6703173518180847, 'learning_rate': 0.00016665022200296005, 'epoch': 0.21}
{'loss': 0.6608, 'grad_norm': 0.962471604347229, 'learning_rate': 0.0001665515540207203, 'epoch': 0.21}
{'loss': 0.4502, 'grad_norm': 0.6421926617622375, 'learning_rate': 0.00016645288603848053, 'epoch': 0.21}
{'loss': 0.3963, 'grad_norm': 0.5818818807601929, 'learning_rate': 0.00016635421805624077, 'epoch': 0.21}
{'loss': 0.3885, 'grad_norm': 0.491105854511261, 'learning_rate': 0.000166255550074001, 'epoch': 0.21}
{'loss': 0.5208, 'grad_norm': 0.68684321641922, 'learning_rate': 0.00016615688209176125, 'epoch': 0.21}
{'loss': 0.4173, 'grad_norm': 0.6653880476951599, 'learning_rate': 0.00016605821410952147, 'epoch': 0.21}
{'loss': 0.5011, 'grad_norm': 0.7094431519508362, 'learning_rate': 0.00016595954612728172, 'epoch': 0.21}
{'loss': 0.4627, 'grad_norm': 0.7399238348007202, 'learning_rate': 0.00016586087814504194, 'epoch': 0.21}
{'loss': 0.5019, 'grad_norm': 0.8153011798858643, 'learning_rate': 0.0001657622101628022, 'epoch': 0.21}
{'loss': 0.3733, 'grad_norm': 0.7199108004570007, 'learning_rate': 0.0001656635421805624, 'epoch': 0.21}
{'loss': 0.3206, 'grad_norm': 0.6228564381599426, 'learning_rate': 0.00016556487419832266, 'epoch': 0.21}
{'loss': 0.517, 'grad_norm': 0.9124435186386108, 'learning_rate': 0.00016546620621608288, 'epoch': 0.21}
{'loss': 0.3991, 'grad_norm': 0.7042340040206909, 'learning_rate': 0.00016536753823384313, 'epoch': 0.22}
{'loss': 0.474, 'grad_norm': 0.7999186515808105, 'learning_rate': 0.00016526887025160335, 'epoch': 0.22}
{'loss': 0.3862, 'grad_norm': 0.7764893770217896, 'learning_rate': 0.0001651702022693636, 'epoch': 0.22}
{'loss': 0.4709, 'grad_norm': 0.7849684357643127, 'learning_rate': 0.00016507153428712383, 'epoch': 0.22}
{'loss': 0.4288, 'grad_norm': 0.7727673053741455, 'learning_rate': 0.00016497286630488408, 'epoch': 0.22}
{'loss': 0.4505, 'grad_norm': 0.7586434483528137, 'learning_rate': 0.0001648741983226443, 'epoch': 0.22}
{'loss': 0.4777, 'grad_norm': 0.7634504437446594, 'learning_rate': 0.00016477553034040455, 'epoch': 0.22}
{'loss': 0.583, 'grad_norm': 0.8645791411399841, 'learning_rate': 0.00016467686235816477, 'epoch': 0.22}
{'loss': 0.4206, 'grad_norm': 0.6773263812065125, 'learning_rate': 0.00016457819437592502, 'epoch': 0.22}
{'loss': 0.4163, 'grad_norm': 0.6482598781585693, 'learning_rate': 0.00016447952639368524, 'epoch': 0.22}
 22%|██▏       | 468/2134 [12:07<26:22,  1.05it/s]
 22%|██▏       | 469/2134 [12:08<26:10,  1.06it/s]
                                                  

 22%|██▏       | 469/2134 [12:08<26:10,  1.06it/s]
 22%|██▏       | 470/2134 [12:09<26:02,  1.07it/s]
                                                  

 22%|██▏       | 470/2134 [12:09<26:02,  1.07it/s]
 22%|██▏       | 471/2134 [12:10<25:55,  1.07it/s]
                                                  

 22%|██▏       | 471/2134 [12:10<25:55,  1.07it/s]
 22%|██▏       | 472/2134 [12:10<25:51,  1.07it/s]
                                                  

 22%|██▏       | 472/2134 [12:10<25:51,  1.07it/s]
 22%|██▏       | 473/2134 [12:11<25:45,  1.07it/s]
                                                  

 22%|██▏       | 473/2134 [12:11<25:45,  1.07it/s]
 22%|██▏       | 474/2134 [12:12<25:45,  1.07it/s]
                                                  

 22%|██▏       | 474/2134 [12:12<25:45,  1.07it/s]
 22%|██▏       | 475/2134 [12:27<2:15:37,  4.91s/it]
                                                    

 22%|██▏       | 475/2134 [12:27<2:15:37,  4.91s/it]
 22%|██▏       | 476/2134 [12:28<1:50:19,  3.99s/it]
                                                    

 22%|██▏       | 476/2134 [12:28<1:50:19,  3.99s/it]
 22%|██▏       | 477/2134 [12:30<1:31:29,  3.31s/it]
                                                    

 22%|██▏       | 477/2134 [12:30<1:31:29,  3.31s/it]
 22%|██▏       | 478/2134 [12:31<1:11:53,  2.60s/it]
                                                    

 22%|██▏       | 478/2134 [12:31<1:11:53,  2.60s/it]
 22%|██▏       | 479/2134 [12:32<58:03,  2.10s/it]  
                                                  

 22%|██▏       | 479/2134 [12:32<58:03,  2.10s/it]
 22%|██▏       | 480/2134 [12:33<48:24,  1.76s/it]
                                                  

 22%|██▏       | 480/2134 [12:33<48:24,  1.76s/it]
 23%|██▎       | 481/2134 [12:34<41:40,  1.51s/it]
                                                  

 23%|██▎       | 481/2134 [12:34<41:40,  1.51s/it]
 23%|██▎       | 482/2134 [12:35<36:58,  1.34s/it]
                                                  

 23%|██▎       | 482/2134 [12:35<36:58,  1.34s/it]
 23%|██▎       | 483/2134 [12:36<33:38,  1.22s/it]
                                                  

 23%|██▎       | 483/2134 [12:36<33:38,  1.22s/it]
 23%|██▎       | 484/2134 [12:37<31:18,  1.14s/it]
                                                  

 23%|██▎       | 484/2134 [12:37<31:18,  1.14s/it]
 23%|██▎       | 485/2134 [12:38<29:39,  1.08s/it]
                                                  

 23%|██▎       | 485/2134 [12:38<29:39,  1.08s/it]
 23%|██▎       | 486/2134 [12:39<28:27,  1.04s/it]
                                                  

 23%|██▎       | 486/2134 [12:39<28:27,  1.04s/it]
 23%|██▎       | 487/2134 [12:40<27:36,  1.01s/it]
                                                  

 23%|██▎       | 487/2134 [12:40<27:36,  1.01s/it]
 23%|██▎       | 488/2134 [12:40<27:01,  1.01it/s]
                                                  

 23%|██▎       | 488/2134 [12:40<27:01,  1.01it/s]
 23%|██▎       | 489/2134 [12:41<26:38,  1.03it/s]
                                                  

 23%|██▎       | 489/2134 [12:41<26:38,  1.03it/s]
 23%|██▎       | 490/2134 [12:42<26:24,  1.04it/s]
                                                  

 23%|██▎       | 490/2134 [12:42<26:24,  1.04it/s]
 23%|██▎       | 491/2134 [12:43<26:07,  1.05it/s]
                                                  

 23%|██▎       | 491/2134 [12:43<26:07,  1.05it/s]
 23%|██▎       | 492/2134 [12:44<25:55,  1.06it/s]
                                                  

 23%|██▎       | 492/2134 [12:44<25:55,  1.06it/s]
 23%|██▎       | 493/2134 [12:45<25:47,  1.06it/s]
                                                  

 23%|██▎       | 493/2134 [12:45<25:47,  1.06it/s]
 23%|██▎       | 494/2134 [12:46<25:41,  1.06it/s]
                                                  

 23%|██▎       | 494/2134 [12:46<25:41,  1.06it/s]
 23%|██▎       | 495/2134 [12:47<25:36,  1.07it/s]
                                                  

 23%|██▎       | 495/2134 [12:47<25:36,  1.07it/s]
 23%|██▎       | 496/2134 [12:48<25:34,  1.07it/s]
                                                  

 23%|██▎       | 496/2134 [12:48<25:34,  1.07it/s]
 23%|██▎       | 497/2134 [12:49<25:31,  1.07it/s]
                                                  

 23%|██▎       | 497/2134 [12:49<25:31,  1.07it/s]
 23%|██▎       | 498/2134 [12:50<25:29,  1.07it/s]
                                                  

 23%|██▎       | 498/2134 [12:50<25:29,  1.07it/s]
 23%|██▎       | 499/2134 [12:51<25:28,  1.07it/s]
                                                  

 23%|██▎       | 499/2134 [12:51<25:28,  1.07it/s]
 23%|██▎       | 500/2134 [13:10<2:55:27,  6.44s/it]
                                                    

 23%|██▎       | 500/2134 [13:10<2:55:27,  6.44s/it]
 23%|██▎       | 501/2134 [13:14<2:36:48,  5.76s/it]
                                                    

 23%|██▎       | 501/2134 [13:14<2:36:48,  5.76s/it]
 24%|██▎       | 502/2134 [13:15<1:57:16,  4.31s/it]
                                                    

 24%|██▎       | 502/2134 [13:15<1:57:16,  4.31s/it]
 24%|██▎       | 503/2134 [13:16<1:29:36,  3.30s/it]
                                                    

 24%|██▎       | 503/2134 [13:16<1:29:36,  3.30s/it]
 24%|██▎       | 504/2134 [13:17<1:10:21,  2.59s/it]
                                                    

 24%|██▎       | 504/2134 [13:17<1:10:21,  2.59s/it]
 24%|██▎       | 505/2134 [13:18<56:49,  2.09s/it]  
                                                  

 24%|██▎       | 505/2134 [13:18<56:49,  2.09s/it]
 24%|██▎       | 506/2134 [13:19<47:21,  1.75s/it]
                                                  

 24%|██▎       | 506/2134 [13:19<47:21,  1.75s/it]
 24%|██▍       | 507/2134 [13:20<40:42,  1.50s/it]
                                                  

 24%|██▍       | 507/2134 [13:20<40:42,  1.50s/it]
 24%|██▍       | 508/2134 [13:21<36:04,  1.33s/it]
                                                  

 24%|██▍       | 508/2134 [13:21<36:04,  1.33s/it]
 24%|██▍       | 509/2134 [13:22<32:51,  1.21s/it]
                                                  

 24%|██▍       | 509/2134 [13:22<32:51,  1.21s/it]
 24%|██▍       | 510/2134 [13:23<30:32,  1.13s/it]
                                                  

 24%|██▍       | 510/2134 [13:23<30:32,  1.13s/it]
 24%|██▍       | 511/2134 [13:24<28:57,  1.07s/it]
                                                  

 24%|██▍       | 511/2134 [13:24<28:57,  1.07s/it]
 24%|██▍       | 512/2134 [13:24<27:49,  1.03s/it]
                                                  

 24%|██▍       | 512/2134 [13:24<27:49,  1.03s/it]
 24%|██▍       | 513/2134 [13:25<27:05,  1.00s/it]
                                                  

 24%|██▍       | 513/2134 [13:25<27:05,  1.00s/it]
 24%|██▍       | 514/2134 [13:26<26:30,  1.02it/s]
                                                  

 24%|██▍       | 514/2134 [13:26<26:30,  1.02it/s]
 24%|██▍       | 515/2134 [13:27<26:10,  1.03it/s]
                                                  

 24%|██▍       | 515/2134 [13:27<26:10,  1.03it/s]
 24%|██▍       | 516/2134 [13:28<25:52,  1.04it/s]
                                                  

 24%|██▍       | 516/2134 [13:28<25:52,  1.04it/s]
 24%|██▍       | 517/2134 [13:29<25:41,  1.05it/s]
                                                  

 24%|██▍       | 517/2134 [13:29<25:41,  1.05it/s]
 24%|██▍       | 518/2134 [13:30<25:28,  1.06it/s]
                                                  

 24%|██▍       | 518/2134 [13:30<25:28,  1.06it/s]
 24%|██▍       | 519/2134 [13:31<25:19,  1.06it/s]
                                                  

 24%|██▍       | 519/2134 [13:31<25:19,  1.06it/s]
 24%|██▍       | 520/2134 [13:32<25:11,  1.07it/s]
                                                  

 24%|██▍       | 520/2134 [13:32<25:11,  1.07it/s]
 24%|██▍       | 521/2134 [13:33<28:38,  1.07s/it]
                                                  

 24%|██▍       | 521/2134 [13:33<28:38,  1.07s/it]
 24%|██▍       | 522/2134 [13:35<32:33,  1.21s/it]
                                                  

 24%|██▍       | 522/2134 [13:35<32:33,  1.21s/it]
 25%|██▍       | 523/2134 [13:37<36:43,  1.37s/it]
                                                  

 25%|██▍       | 523/2134 [13:37<36:43,  1.37s/it]
 25%|██▍       | 524/2134 [13:38<33:11,  1.24s/it]
                                                  

 25%|██▍       | 524/2134 [13:38<33:11,  1.24s/it]
 25%|██▍       | 525/2134 [13:51<2:15:34,  5.06s/it]
                                                    

 25%|██▍       | 525/2134 [13:51<2:15:34,  5.06s/it]
 25%|██▍       | 526/2134 [13:52<1:42:20,  3.82s/it]
                                                    

 25%|██▍       | 526/2134 [13:52<1:42:20,  3.82s/it]
 25%|██▍       | 527/2134 [13:53<1:19:02,  2.95s/it]
                                                    

 25%|██▍       | 527/2134 [13:53<1:19:02,  2.95s/it]
 25%|██▍       | 528/2134 [13:54<1:02:43,  2.34s/it]
                                                    

 25%|██▍       | 528/2134 [13:54<1:02:43,  2.34s/it]
 25%|██▍       | 529/2134 [13:55<51:15,  1.92s/it]  
                                                  

 25%|██▍       | 529/2134 [13:55<51:15,  1.92s/it]
 25%|██▍       | 530/2134 [13:56<43:15,  1.62s/it]
                                                  

 25%|██▍       | 530/2134 [13:56<43:15,  1.62s/it]
 25%|██▍       | 531/2134 [13:57<37:41,  1.41s/it]
                                                  

 25%|██▍       | 531/2134 [13:57<37:41,  1.41s/it]
 25%|██▍       | 532/2134 [13:58<33:49,  1.27s/it]
                                                  

 25%|██▍       | 532/2134 [13:58<33:49,  1.27s/it]
 25%|██▍       | 533/2134 [13:59<31:09,  1.17s/it]
                                                  

 25%|██▍       | 533/2134 [13:59<31:09,  1.17s/it]
 25%|██▌       | 534/2134 [14:00<29:19,  1.10s/it]
                                                  

 25%|██▌       | 534/2134 [14:00<29:19,  1.10s/it]
 25%|██▌       | 535/2134 [14:01<27:55,  1.05s/it]
                                                  

 25%|██▌       | 535/2134 [14:01<27:55,  1.05s/it]
 25%|██▌       | 536/2134 [14:02<27:07,  1.02s/it]
                                                  

 25%|██▌       | 536/2134 [14:02<27:07,  1.02s/it]
 25%|██▌       | 537/2134 [14:03<26:27,  1.01it/s]
                                                  

 25%|██▌       | 537/2134 [14:03<26:27,  1.01it/s]
 25%|██▌       | 538/2134 [14:04<26:03,  1.02it/s]
                                                  

 25%|██▌       | 538/2134 [14:04<26:03,  1.02it/s]
 25%|██▌       | 539/2134 [14:05<25:41,  1.03it/s]
                                                  

 25%|██▌       | 539/2134 [14:05<25:41,  1.03it/s]
 25%|██▌       | 540/2134 [14:05<25:24,  1.05it/s]
                                                  

 25%|██▌       | 540/2134 [14:05<25:24,  1.05it/s]
 25%|██▌       | 541/2134 [14:07<26:48,  1.01s/it]
                                                  

 25%|██▌       | 541/2134 [14:07<26:48,  1.01s/it]
 25%|██▌       | 542/2134 [14:08<32:01,  1.21s/it]
                                                  

 25%|██▌       | 542/2134 [14:08<32:01,  1.21s/it]
 25%|██▌       | 543/2134 [14:10<36:16,  1.37s/it]
                                                  

 25%|██▌       | 543/2134 [14:10<36:16,  1.37s/it]
 25%|██▌       | 544/2134 [14:11<35:01,  1.32s/it]
                                                  

 25%|██▌       | 544/2134 [14:11<35:01,  1.32s/it]
 26%|██▌       | 545/2134 [14:12<31:53,  1.20s/it]
                                                  

 26%|██▌       | 545/2134 [14:12<31:53,  1.20s/it]
 26%|██▌       | 546/2134 [14:13<29:38,  1.12s/it]
                                                  
{'loss': 0.4685, 'grad_norm': 0.7589777112007141, 'learning_rate': 0.00016438085841144552, 'epoch': 0.22}
{'loss': 0.4344, 'grad_norm': 0.6487677097320557, 'learning_rate': 0.00016428219042920574, 'epoch': 0.22}
{'loss': 0.4268, 'grad_norm': 0.6923947930335999, 'learning_rate': 0.000164183522446966, 'epoch': 0.22}
{'loss': 0.3761, 'grad_norm': 0.620622456073761, 'learning_rate': 0.0001640848544647262, 'epoch': 0.22}
{'loss': 0.4153, 'grad_norm': 0.7670809626579285, 'learning_rate': 0.00016398618648248646, 'epoch': 0.22}
{'loss': 0.502, 'grad_norm': 0.8246699571609497, 'learning_rate': 0.00016388751850024668, 'epoch': 0.22}
{'loss': 0.5814, 'grad_norm': 0.8975069522857666, 'learning_rate': 0.00016378885051800693, 'epoch': 0.22}
{'loss': 0.3775, 'grad_norm': 0.7525880932807922, 'learning_rate': 0.00016369018253576715, 'epoch': 0.22}
{'loss': 0.4474, 'grad_norm': 0.7305026650428772, 'learning_rate': 0.0001635915145535274, 'epoch': 0.22}
{'loss': 0.4636, 'grad_norm': 0.7497011423110962, 'learning_rate': 0.00016349284657128763, 'epoch': 0.22}
{'loss': 0.4714, 'grad_norm': 0.7975777387619019, 'learning_rate': 0.00016339417858904788, 'epoch': 0.22}
{'loss': 0.4841, 'grad_norm': 0.7540836930274963, 'learning_rate': 0.0001632955106068081, 'epoch': 0.22}
{'loss': 0.5002, 'grad_norm': 0.7607357501983643, 'learning_rate': 0.00016319684262456835, 'epoch': 0.23}
{'loss': 0.3628, 'grad_norm': 0.6652523875236511, 'learning_rate': 0.00016309817464232857, 'epoch': 0.23}
{'loss': 0.4196, 'grad_norm': 0.7261090874671936, 'learning_rate': 0.00016299950666008882, 'epoch': 0.23}
{'loss': 0.4801, 'grad_norm': 0.7268324494361877, 'learning_rate': 0.00016290083867784904, 'epoch': 0.23}
{'loss': 0.5088, 'grad_norm': 0.860222578048706, 'learning_rate': 0.0001628021706956093, 'epoch': 0.23}
{'loss': 0.3271, 'grad_norm': 0.6333359479904175, 'learning_rate': 0.0001627035027133695, 'epoch': 0.23}
{'loss': 0.4383, 'grad_norm': 0.781888484954834, 'learning_rate': 0.00016260483473112976, 'epoch': 0.23}
{'loss': 0.3488, 'grad_norm': 0.6592003107070923, 'learning_rate': 0.00016250616674888998, 'epoch': 0.23}
{'loss': 0.3523, 'grad_norm': 0.7107413411140442, 'learning_rate': 0.00016240749876665023, 'epoch': 0.23}
{'loss': 0.3015, 'grad_norm': 0.6253262162208557, 'learning_rate': 0.00016230883078441046, 'epoch': 0.23}
{'loss': 0.4197, 'grad_norm': 0.8515297174453735, 'learning_rate': 0.0001622101628021707, 'epoch': 0.23}
{'loss': 0.385, 'grad_norm': 0.7696044445037842, 'learning_rate': 0.00016211149481993093, 'epoch': 0.23}
{'loss': 0.5123, 'grad_norm': 0.931757390499115, 'learning_rate': 0.00016201282683769118, 'epoch': 0.23}
{'loss': 0.4201, 'grad_norm': 0.8316825032234192, 'learning_rate': 0.0001619141588554514, 'epoch': 0.23}
{'loss': 0.5029, 'grad_norm': 0.9590456485748291, 'learning_rate': 0.00016181549087321167, 'epoch': 0.23}
{'loss': 0.4277, 'grad_norm': 0.7673368453979492, 'learning_rate': 0.0001617168228909719, 'epoch': 0.23}
{'loss': 0.4765, 'grad_norm': 1.1097661256790161, 'learning_rate': 0.00016161815490873215, 'epoch': 0.23}
{'loss': 0.3685, 'grad_norm': 0.6195487380027771, 'learning_rate': 0.00016151948692649237, 'epoch': 0.23}
{'loss': 0.4047, 'grad_norm': 0.6283177733421326, 'learning_rate': 0.00016142081894425262, 'epoch': 0.23}
{'loss': 0.486, 'grad_norm': 0.7593886256217957, 'learning_rate': 0.00016132215096201284, 'epoch': 0.23}
{'loss': 0.3253, 'grad_norm': 0.5699304342269897, 'learning_rate': 0.0001612234829797731, 'epoch': 0.23}
{'loss': 0.368, 'grad_norm': 0.5969653725624084, 'learning_rate': 0.0001611248149975333, 'epoch': 0.24}
{'loss': 0.4371, 'grad_norm': 0.6990184783935547, 'learning_rate': 0.00016102614701529356, 'epoch': 0.24}
{'loss': 0.294, 'grad_norm': 0.633966863155365, 'learning_rate': 0.00016092747903305378, 'epoch': 0.24}
{'loss': 0.406, 'grad_norm': 0.7868752479553223, 'learning_rate': 0.00016082881105081403, 'epoch': 0.24}
{'loss': 0.5052, 'grad_norm': 0.9111541509628296, 'learning_rate': 0.00016073014306857425, 'epoch': 0.24}
{'loss': 0.4012, 'grad_norm': 0.8617125749588013, 'learning_rate': 0.0001606314750863345, 'epoch': 0.24}
{'loss': 0.4432, 'grad_norm': 0.8419025540351868, 'learning_rate': 0.00016053280710409473, 'epoch': 0.24}
{'loss': 0.3005, 'grad_norm': 0.6022428274154663, 'learning_rate': 0.00016043413912185498, 'epoch': 0.24}
{'loss': 0.3474, 'grad_norm': 0.57527756690979, 'learning_rate': 0.0001603354711396152, 'epoch': 0.24}
{'loss': 0.4588, 'grad_norm': 0.7942854762077332, 'learning_rate': 0.00016023680315737545, 'epoch': 0.24}
{'loss': 0.3838, 'grad_norm': 0.7548225522041321, 'learning_rate': 0.00016013813517513567, 'epoch': 0.24}
{'loss': 0.2915, 'grad_norm': 0.5549873113632202, 'learning_rate': 0.00016003946719289592, 'epoch': 0.24}
{'loss': 0.3057, 'grad_norm': 0.578180730342865, 'learning_rate': 0.00015994079921065614, 'epoch': 0.24}
{'loss': 0.4538, 'grad_norm': 0.8170009255409241, 'learning_rate': 0.0001598421312284164, 'epoch': 0.24}
{'loss': 0.4406, 'grad_norm': 0.8678969144821167, 'learning_rate': 0.0001597434632461766, 'epoch': 0.24}
{'loss': 0.2751, 'grad_norm': 0.5890852808952332, 'learning_rate': 0.00015964479526393686, 'epoch': 0.24}
{'loss': 0.4599, 'grad_norm': 0.896643340587616, 'learning_rate': 0.00015954612728169708, 'epoch': 0.24}
{'loss': 0.4002, 'grad_norm': 0.7515051960945129, 'learning_rate': 0.00015944745929945733, 'epoch': 0.24}
{'loss': 0.3549, 'grad_norm': 0.8059030175209045, 'learning_rate': 0.00015934879131721756, 'epoch': 0.24}
{'loss': 0.374, 'grad_norm': 0.6775969862937927, 'learning_rate': 0.0001592501233349778, 'epoch': 0.24}
{'loss': 0.4282, 'grad_norm': 0.8739820122718811, 'learning_rate': 0.00015915145535273805, 'epoch': 0.24}
{'loss': 0.3846, 'grad_norm': 0.6460705399513245, 'learning_rate': 0.0001590527873704983, 'epoch': 0.25}
{'loss': 0.3016, 'grad_norm': 0.56827312707901, 'learning_rate': 0.00015895411938825853, 'epoch': 0.25}
{'loss': 0.514, 'grad_norm': 0.7662654519081116, 'learning_rate': 0.00015885545140601878, 'epoch': 0.25}
{'loss': 0.3763, 'grad_norm': 0.6632319688796997, 'learning_rate': 0.000158756783423779, 'epoch': 0.25}
{'loss': 0.3107, 'grad_norm': 0.5433131456375122, 'learning_rate': 0.00015865811544153925, 'epoch': 0.25}
{'loss': 0.3656, 'grad_norm': 0.6231021881103516, 'learning_rate': 0.00015855944745929947, 'epoch': 0.25}
{'loss': 0.2676, 'grad_norm': 0.5648595690727234, 'learning_rate': 0.00015846077947705972, 'epoch': 0.25}
{'loss': 0.3487, 'grad_norm': 0.7253015041351318, 'learning_rate': 0.00015836211149481994, 'epoch': 0.25}
{'loss': 0.3935, 'grad_norm': 0.8317760825157166, 'learning_rate': 0.0001582634435125802, 'epoch': 0.25}
{'loss': 0.4075, 'grad_norm': 0.8173878192901611, 'learning_rate': 0.0001581647755303404, 'epoch': 0.25}
{'loss': 0.4787, 'grad_norm': 0.9519740343093872, 'learning_rate': 0.00015806610754810066, 'epoch': 0.25}
{'loss': 0.4471, 'grad_norm': 0.8528350591659546, 'learning_rate': 0.00015796743956586088, 'epoch': 0.25}
{'loss': 0.3353, 'grad_norm': 0.6327706575393677, 'learning_rate': 0.00015786877158362113, 'epoch': 0.25}
{'loss': 0.3106, 'grad_norm': 0.5632195472717285, 'learning_rate': 0.00015777010360138136, 'epoch': 0.25}
{'loss': 0.3722, 'grad_norm': 0.7369419932365417, 'learning_rate': 0.0001576714356191416, 'epoch': 0.25}
{'loss': 0.2617, 'grad_norm': 0.49234485626220703, 'learning_rate': 0.00015757276763690183, 'epoch': 0.25}
{'loss': 0.4009, 'grad_norm': 0.83174067735672, 'learning_rate': 0.00015747409965466208, 'epoch': 0.25}
{'loss': 0.3191, 'grad_norm': 0.669474720954895, 'learning_rate': 0.0001573754316724223, 'epoch': 0.25}
{'loss': 0.3691, 'grad_norm': 0.7679537534713745, 'learning_rate': 0.00015727676369018255, 'epoch': 0.25}
{'loss': 0.2971, 'grad_norm': 0.6582807302474976, 'learning_rate': 0.00015717809570794277, 'epoch': 0.25}
{'loss': 0.2662, 'grad_norm': 0.6457629203796387, 'learning_rate': 0.00015707942772570302, 'epoch': 0.25}
{'loss': 0.3759, 'grad_norm': 0.8898284435272217, 'learning_rate': 0.00015698075974346324, 'epoch': 0.25}
{'loss': 0.3843, 'grad_norm': 0.8733218908309937, 'learning_rate': 0.0001568820917612235, 'epoch': 0.26}
{'loss': 0.4058, 'grad_norm': 0.8908830285072327, 'learning_rate': 0.0001567834237789837, 'epoch': 0.26}
 26%|██▌       | 546/2134 [14:13<29:38,  1.12s/it]
 26%|██▌       | 547/2134 [14:14<28:05,  1.06s/it]
                                                  

 26%|██▌       | 547/2134 [14:14<28:05,  1.06s/it]
 26%|██▌       | 548/2134 [14:15<27:02,  1.02s/it]
                                                  

 26%|██▌       | 548/2134 [14:15<27:02,  1.02s/it]
 26%|██▌       | 549/2134 [14:16<26:15,  1.01it/s]
                                                  

 26%|██▌       | 549/2134 [14:16<26:15,  1.01it/s]
 26%|██▌       | 550/2134 [14:30<2:07:33,  4.83s/it]
                                                    

 26%|██▌       | 550/2134 [14:30<2:07:33,  4.83s/it]
 26%|██▌       | 551/2134 [14:31<1:36:31,  3.66s/it]
                                                    

 26%|██▌       | 551/2134 [14:31<1:36:31,  3.66s/it]
 26%|██▌       | 552/2134 [14:32<1:14:47,  2.84s/it]
                                                    

 26%|██▌       | 552/2134 [14:32<1:14:47,  2.84s/it]
 26%|██▌       | 553/2134 [14:32<59:36,  2.26s/it]  
                                                  

 26%|██▌       | 553/2134 [14:32<59:36,  2.26s/it]
 26%|██▌       | 554/2134 [14:33<48:57,  1.86s/it]
                                                  

 26%|██▌       | 554/2134 [14:33<48:57,  1.86s/it]
 26%|██▌       | 555/2134 [14:34<41:30,  1.58s/it]
                                                  

 26%|██▌       | 555/2134 [14:34<41:30,  1.58s/it]
 26%|██▌       | 556/2134 [14:35<36:17,  1.38s/it]
                                                  

 26%|██▌       | 556/2134 [14:35<36:17,  1.38s/it]
 26%|██▌       | 557/2134 [14:36<32:39,  1.24s/it]
                                                  

 26%|██▌       | 557/2134 [14:36<32:39,  1.24s/it]
 26%|██▌       | 558/2134 [14:37<30:16,  1.15s/it]
                                                  

 26%|██▌       | 558/2134 [14:37<30:16,  1.15s/it]
 26%|██▌       | 559/2134 [14:38<28:22,  1.08s/it]
                                                  

 26%|██▌       | 559/2134 [14:38<28:22,  1.08s/it]
 26%|██▌       | 560/2134 [14:39<27:03,  1.03s/it]
                                                  

 26%|██▌       | 560/2134 [14:39<27:03,  1.03s/it]
 26%|██▋       | 561/2134 [14:40<26:08,  1.00it/s]
                                                  

 26%|██▋       | 561/2134 [14:40<26:08,  1.00it/s]
 26%|██▋       | 562/2134 [14:41<29:18,  1.12s/it]
                                                  

 26%|██▋       | 562/2134 [14:41<29:18,  1.12s/it]
 26%|██▋       | 563/2134 [14:43<34:39,  1.32s/it]
                                                  

 26%|██▋       | 563/2134 [14:43<34:39,  1.32s/it]
 26%|██▋       | 564/2134 [14:45<37:22,  1.43s/it]
                                                  

 26%|██▋       | 564/2134 [14:45<37:22,  1.43s/it]
 26%|██▋       | 565/2134 [14:46<33:26,  1.28s/it]
                                                  

 26%|██▋       | 565/2134 [14:46<33:26,  1.28s/it]
 27%|██▋       | 566/2134 [14:47<30:34,  1.17s/it]
                                                  

 27%|██▋       | 566/2134 [14:47<30:34,  1.17s/it]
 27%|██▋       | 567/2134 [14:47<28:46,  1.10s/it]
                                                  

 27%|██▋       | 567/2134 [14:47<28:46,  1.10s/it]
 27%|██▋       | 568/2134 [14:48<27:21,  1.05s/it]
                                                  

 27%|██▋       | 568/2134 [14:48<27:21,  1.05s/it]
 27%|██▋       | 569/2134 [14:49<26:24,  1.01s/it]
                                                  

 27%|██▋       | 569/2134 [14:49<26:24,  1.01s/it]
 27%|██▋       | 570/2134 [14:50<25:46,  1.01it/s]
                                                  

 27%|██▋       | 570/2134 [14:50<25:46,  1.01it/s]
 27%|██▋       | 571/2134 [14:51<25:15,  1.03it/s]
                                                  

 27%|██▋       | 571/2134 [14:51<25:15,  1.03it/s]
 27%|██▋       | 572/2134 [14:52<24:55,  1.04it/s]
                                                  

 27%|██▋       | 572/2134 [14:52<24:55,  1.04it/s]
 27%|██▋       | 573/2134 [14:53<24:39,  1.05it/s]
                                                  

 27%|██▋       | 573/2134 [14:53<24:39,  1.05it/s]
 27%|██▋       | 574/2134 [14:54<24:27,  1.06it/s]
                                                  

 27%|██▋       | 574/2134 [14:54<24:27,  1.06it/s]
 27%|██▋       | 575/2134 [15:08<2:06:23,  4.86s/it]
                                                    

 27%|██▋       | 575/2134 [15:08<2:06:23,  4.86s/it]
 27%|██▋       | 576/2134 [15:09<1:35:39,  3.68s/it]
                                                    

 27%|██▋       | 576/2134 [15:09<1:35:39,  3.68s/it]
 27%|██▋       | 577/2134 [15:10<1:14:05,  2.86s/it]
                                                    

 27%|██▋       | 577/2134 [15:10<1:14:05,  2.86s/it]
 27%|██▋       | 578/2134 [15:11<59:00,  2.28s/it]  
                                                  

 27%|██▋       | 578/2134 [15:11<59:00,  2.28s/it]
 27%|██▋       | 579/2134 [15:12<48:29,  1.87s/it]
                                                  

 27%|██▋       | 579/2134 [15:12<48:29,  1.87s/it]
 27%|██▋       | 580/2134 [15:13<41:06,  1.59s/it]
                                                  

 27%|██▋       | 580/2134 [15:13<41:06,  1.59s/it]
 27%|██▋       | 581/2134 [15:14<35:52,  1.39s/it]
                                                  

 27%|██▋       | 581/2134 [15:14<35:52,  1.39s/it]
 27%|██▋       | 582/2134 [15:15<34:50,  1.35s/it]
                                                  

 27%|██▋       | 582/2134 [15:15<34:50,  1.35s/it]
 27%|██▋       | 583/2134 [15:16<37:22,  1.45s/it]
                                                  

 27%|██▋       | 583/2134 [15:16<37:22,  1.45s/it]
 27%|██▋       | 584/2134 [15:18<40:11,  1.56s/it]
                                                  

 27%|██▋       | 584/2134 [15:18<40:11,  1.56s/it]
 27%|██▋       | 585/2134 [15:19<36:27,  1.41s/it]
                                                  

 27%|██▋       | 585/2134 [15:19<36:27,  1.41s/it]
 27%|██▋       | 586/2134 [15:20<32:37,  1.26s/it]
                                                  

 27%|██▋       | 586/2134 [15:20<32:37,  1.26s/it]
 28%|██▊       | 587/2134 [15:21<29:54,  1.16s/it]
                                                  

 28%|██▊       | 587/2134 [15:21<29:54,  1.16s/it]
 28%|██▊       | 588/2134 [15:22<28:04,  1.09s/it]
                                                  

 28%|██▊       | 588/2134 [15:22<28:04,  1.09s/it]
 28%|██▊       | 589/2134 [15:23<26:44,  1.04s/it]
                                                  

 28%|██▊       | 589/2134 [15:23<26:44,  1.04s/it]
 28%|██▊       | 590/2134 [15:24<25:54,  1.01s/it]
                                                  

 28%|██▊       | 590/2134 [15:24<25:54,  1.01s/it]
 28%|██▊       | 591/2134 [15:25<25:20,  1.01it/s]
                                                  

 28%|██▊       | 591/2134 [15:25<25:20,  1.01it/s]
 28%|██▊       | 592/2134 [15:26<24:54,  1.03it/s]
                                                  

 28%|██▊       | 592/2134 [15:26<24:54,  1.03it/s]
 28%|██▊       | 593/2134 [15:27<24:37,  1.04it/s]
                                                  

 28%|██▊       | 593/2134 [15:27<24:37,  1.04it/s]
 28%|██▊       | 594/2134 [15:28<24:23,  1.05it/s]
                                                  

 28%|██▊       | 594/2134 [15:28<24:23,  1.05it/s]
 28%|██▊       | 595/2134 [15:29<24:09,  1.06it/s]
                                                  

 28%|██▊       | 595/2134 [15:29<24:09,  1.06it/s]
 28%|██▊       | 596/2134 [15:30<24:00,  1.07it/s]
                                                  

 28%|██▊       | 596/2134 [15:30<24:00,  1.07it/s]
 28%|██▊       | 597/2134 [15:30<23:52,  1.07it/s]
                                                  

 28%|██▊       | 597/2134 [15:30<23:52,  1.07it/s]
 28%|██▊       | 598/2134 [15:31<23:46,  1.08it/s]
                                                  

 28%|██▊       | 598/2134 [15:31<23:46,  1.08it/s]
 28%|██▊       | 599/2134 [15:32<23:41,  1.08it/s]
                                                  

 28%|██▊       | 599/2134 [15:32<23:41,  1.08it/s]
 28%|██▊       | 600/2134 [15:46<2:02:40,  4.80s/it]
                                                    

 28%|██▊       | 600/2134 [15:46<2:02:40,  4.80s/it]
 28%|██▊       | 601/2134 [15:47<1:32:56,  3.64s/it]
                                                    

 28%|██▊       | 601/2134 [15:47<1:32:56,  3.64s/it]
 28%|██▊       | 602/2134 [15:48<1:15:06,  2.94s/it]
                                                    

 28%|██▊       | 602/2134 [15:48<1:15:06,  2.94s/it]
 28%|██▊       | 603/2134 [15:50<1:06:20,  2.60s/it]
                                                    

 28%|██▊       | 603/2134 [15:50<1:06:20,  2.60s/it]
 28%|██▊       | 604/2134 [15:52<59:26,  2.33s/it]  
                                                  

 28%|██▊       | 604/2134 [15:52<59:26,  2.33s/it]
 28%|██▊       | 605/2134 [15:53<49:04,  1.93s/it]
                                                  

 28%|██▊       | 605/2134 [15:53<49:04,  1.93s/it]
 28%|██▊       | 606/2134 [15:54<41:23,  1.63s/it]
                                                  

 28%|██▊       | 606/2134 [15:54<41:23,  1.63s/it]
 28%|██▊       | 607/2134 [15:55<36:00,  1.41s/it]
                                                  

 28%|██▊       | 607/2134 [15:55<36:00,  1.41s/it]
 28%|██▊       | 608/2134 [15:56<32:11,  1.27s/it]
                                                  

 28%|██▊       | 608/2134 [15:56<32:11,  1.27s/it]
 29%|██▊       | 609/2134 [15:57<29:33,  1.16s/it]
                                                  

 29%|██▊       | 609/2134 [15:57<29:33,  1.16s/it]
 29%|██▊       | 610/2134 [15:57<27:45,  1.09s/it]
                                                  

 29%|██▊       | 610/2134 [15:57<27:45,  1.09s/it]
 29%|██▊       | 611/2134 [15:58<26:29,  1.04s/it]
                                                  

 29%|██▊       | 611/2134 [15:58<26:29,  1.04s/it]
 29%|██▊       | 612/2134 [15:59<25:33,  1.01s/it]
                                                  

 29%|██▊       | 612/2134 [15:59<25:33,  1.01s/it]
 29%|██▊       | 613/2134 [16:00<24:55,  1.02it/s]
                                                  

 29%|██▊       | 613/2134 [16:00<24:55,  1.02it/s]
 29%|██▉       | 614/2134 [16:01<24:29,  1.03it/s]
                                                  

 29%|██▉       | 614/2134 [16:01<24:29,  1.03it/s]
 29%|██▉       | 615/2134 [16:02<24:07,  1.05it/s]
                                                  

 29%|██▉       | 615/2134 [16:02<24:07,  1.05it/s]
 29%|██▉       | 616/2134 [16:03<23:51,  1.06it/s]
                                                  

 29%|██▉       | 616/2134 [16:03<23:51,  1.06it/s]
 29%|██▉       | 617/2134 [16:04<23:42,  1.07it/s]
                                                  

 29%|██▉       | 617/2134 [16:04<23:42,  1.07it/s]
 29%|██▉       | 618/2134 [16:05<23:36,  1.07it/s]
                                                  

 29%|██▉       | 618/2134 [16:05<23:36,  1.07it/s]
 29%|██▉       | 619/2134 [16:06<23:30,  1.07it/s]
                                                  

 29%|██▉       | 619/2134 [16:06<23:30,  1.07it/s]
 29%|██▉       | 620/2134 [16:07<23:25,  1.08it/s]
                                                  

 29%|██▉       | 620/2134 [16:07<23:25,  1.08it/s]
 29%|██▉       | 621/2134 [16:08<23:28,  1.07it/s]
                                                  

 29%|██▉       | 621/2134 [16:08<23:28,  1.07it/s]
 29%|██▉       | 622/2134 [16:09<23:22,  1.08it/s]
                                                  

 29%|██▉       | 622/2134 [16:09<23:22,  1.08it/s]
 29%|██▉       | 623/2134 [16:10<23:16,  1.08it/s]
                                                  

 29%|██▉       | 623/2134 [16:10<23:16,  1.08it/s]
 29%|██▉       | 624/2134 [16:10<23:11,  1.08it/s]
                                                  
{'loss': 0.3713, 'grad_norm': 0.7245070934295654, 'learning_rate': 0.00015668475579674396, 'epoch': 0.26}
{'loss': 0.3467, 'grad_norm': 0.697513222694397, 'learning_rate': 0.00015658608781450418, 'epoch': 0.26}
{'loss': 0.3568, 'grad_norm': 0.7764064073562622, 'learning_rate': 0.00015648741983226446, 'epoch': 0.26}
{'loss': 0.2749, 'grad_norm': 0.5300760865211487, 'learning_rate': 0.00015638875185002468, 'epoch': 0.26}
{'loss': 0.3185, 'grad_norm': 0.5515843629837036, 'learning_rate': 0.00015629008386778493, 'epoch': 0.26}
{'loss': 0.3204, 'grad_norm': 0.6360172629356384, 'learning_rate': 0.00015619141588554515, 'epoch': 0.26}
{'loss': 0.5631, 'grad_norm': 1.0066373348236084, 'learning_rate': 0.0001560927479033054, 'epoch': 0.26}
{'loss': 0.3356, 'grad_norm': 0.7678627371788025, 'learning_rate': 0.00015599407992106563, 'epoch': 0.26}
{'loss': 0.3835, 'grad_norm': 0.8268342614173889, 'learning_rate': 0.00015589541193882588, 'epoch': 0.26}
{'loss': 0.2902, 'grad_norm': 0.684168815612793, 'learning_rate': 0.0001557967439565861, 'epoch': 0.26}
{'loss': 0.3675, 'grad_norm': 0.7914400100708008, 'learning_rate': 0.00015569807597434635, 'epoch': 0.26}
{'loss': 0.3576, 'grad_norm': 0.7485273480415344, 'learning_rate': 0.00015559940799210657, 'epoch': 0.26}
{'loss': 0.3461, 'grad_norm': 0.7127295732498169, 'learning_rate': 0.00015550074000986682, 'epoch': 0.26}
{'loss': 0.3804, 'grad_norm': 0.7977214455604553, 'learning_rate': 0.00015540207202762704, 'epoch': 0.26}
{'loss': 0.384, 'grad_norm': 0.7441617846488953, 'learning_rate': 0.0001553034040453873, 'epoch': 0.26}
{'loss': 0.4154, 'grad_norm': 0.7657737731933594, 'learning_rate': 0.0001552047360631475, 'epoch': 0.26}
{'loss': 0.3945, 'grad_norm': 0.761914849281311, 'learning_rate': 0.00015510606808090776, 'epoch': 0.26}
{'loss': 0.3365, 'grad_norm': 0.7176834940910339, 'learning_rate': 0.00015500740009866798, 'epoch': 0.26}
{'loss': 0.5031, 'grad_norm': 0.831928014755249, 'learning_rate': 0.00015490873211642823, 'epoch': 0.26}
{'loss': 0.2833, 'grad_norm': 0.5994933247566223, 'learning_rate': 0.00015481006413418846, 'epoch': 0.27}
{'loss': 0.3802, 'grad_norm': 0.8358837962150574, 'learning_rate': 0.0001547113961519487, 'epoch': 0.27}
{'loss': 0.2946, 'grad_norm': 0.6468016505241394, 'learning_rate': 0.00015461272816970893, 'epoch': 0.27}
{'loss': 0.2921, 'grad_norm': 0.7048481106758118, 'learning_rate': 0.00015451406018746918, 'epoch': 0.27}
{'loss': 0.2759, 'grad_norm': 0.6905936002731323, 'learning_rate': 0.0001544153922052294, 'epoch': 0.27}
{'loss': 0.321, 'grad_norm': 0.7740339636802673, 'learning_rate': 0.00015431672422298965, 'epoch': 0.27}
{'loss': 0.3914, 'grad_norm': 0.8399717807769775, 'learning_rate': 0.00015421805624074987, 'epoch': 0.27}
{'loss': 0.3051, 'grad_norm': 0.7007482647895813, 'learning_rate': 0.00015411938825851012, 'epoch': 0.27}
{'loss': 0.3381, 'grad_norm': 0.7743405699729919, 'learning_rate': 0.00015402072027627034, 'epoch': 0.27}
{'loss': 0.2587, 'grad_norm': 0.6133373975753784, 'learning_rate': 0.00015392205229403062, 'epoch': 0.27}
{'loss': 0.3139, 'grad_norm': 0.6216437220573425, 'learning_rate': 0.00015382338431179084, 'epoch': 0.27}
{'loss': 0.3491, 'grad_norm': 0.7576854825019836, 'learning_rate': 0.0001537247163295511, 'epoch': 0.27}
{'loss': 0.3401, 'grad_norm': 0.80029296875, 'learning_rate': 0.0001536260483473113, 'epoch': 0.27}
{'loss': 0.3272, 'grad_norm': 0.7795194387435913, 'learning_rate': 0.00015352738036507156, 'epoch': 0.27}
{'loss': 0.3004, 'grad_norm': 0.6987371444702148, 'learning_rate': 0.00015342871238283178, 'epoch': 0.27}
{'loss': 0.4489, 'grad_norm': 0.969313383102417, 'learning_rate': 0.00015333004440059203, 'epoch': 0.27}
{'loss': 0.2917, 'grad_norm': 0.675950825214386, 'learning_rate': 0.00015323137641835226, 'epoch': 0.27}
{'loss': 0.297, 'grad_norm': 0.7556537389755249, 'learning_rate': 0.0001531327084361125, 'epoch': 0.27}
{'loss': 0.4129, 'grad_norm': 0.8179475665092468, 'learning_rate': 0.00015303404045387273, 'epoch': 0.27}
{'loss': 0.325, 'grad_norm': 0.7357247471809387, 'learning_rate': 0.00015293537247163298, 'epoch': 0.27}
{'loss': 0.3564, 'grad_norm': 0.7443224787712097, 'learning_rate': 0.0001528367044893932, 'epoch': 0.27}
{'loss': 0.3679, 'grad_norm': 0.7415517568588257, 'learning_rate': 0.00015273803650715345, 'epoch': 0.28}
{'loss': 0.2877, 'grad_norm': 0.6627104878425598, 'learning_rate': 0.00015263936852491367, 'epoch': 0.28}
{'loss': 0.2754, 'grad_norm': 0.6199792623519897, 'learning_rate': 0.00015254070054267392, 'epoch': 0.28}
{'loss': 0.3576, 'grad_norm': 0.8216355443000793, 'learning_rate': 0.00015244203256043414, 'epoch': 0.28}
{'loss': 0.3012, 'grad_norm': 0.7238144278526306, 'learning_rate': 0.0001523433645781944, 'epoch': 0.28}
{'loss': 0.319, 'grad_norm': 0.650330126285553, 'learning_rate': 0.0001522446965959546, 'epoch': 0.28}
{'loss': 0.2615, 'grad_norm': 0.699349045753479, 'learning_rate': 0.00015214602861371486, 'epoch': 0.28}
{'loss': 0.422, 'grad_norm': 0.8799377083778381, 'learning_rate': 0.00015204736063147508, 'epoch': 0.28}
{'loss': 0.4061, 'grad_norm': 0.8912809491157532, 'learning_rate': 0.00015194869264923533, 'epoch': 0.28}
{'loss': 0.4118, 'grad_norm': 0.8935262560844421, 'learning_rate': 0.00015185002466699556, 'epoch': 0.28}
{'loss': 0.2886, 'grad_norm': 0.5979607701301575, 'learning_rate': 0.0001517513566847558, 'epoch': 0.28}
{'loss': 0.3427, 'grad_norm': 0.7334941029548645, 'learning_rate': 0.00015165268870251603, 'epoch': 0.28}
{'loss': 0.2741, 'grad_norm': 0.6665082573890686, 'learning_rate': 0.00015155402072027628, 'epoch': 0.28}
{'loss': 0.3221, 'grad_norm': 0.6699016094207764, 'learning_rate': 0.0001514553527380365, 'epoch': 0.28}
{'loss': 0.2666, 'grad_norm': 0.5982272624969482, 'learning_rate': 0.00015135668475579675, 'epoch': 0.28}
{'loss': 0.3382, 'grad_norm': 0.6926842331886292, 'learning_rate': 0.000151258016773557, 'epoch': 0.28}
{'loss': 0.3467, 'grad_norm': 0.7731963992118835, 'learning_rate': 0.00015115934879131725, 'epoch': 0.28}
{'loss': 0.3658, 'grad_norm': 0.7650681138038635, 'learning_rate': 0.00015106068080907747, 'epoch': 0.28}
{'loss': 0.3133, 'grad_norm': 0.6585583090782166, 'learning_rate': 0.00015096201282683772, 'epoch': 0.28}
{'loss': 0.3062, 'grad_norm': 0.6566647887229919, 'learning_rate': 0.00015086334484459794, 'epoch': 0.28}
{'loss': 0.341, 'grad_norm': 0.6937447190284729, 'learning_rate': 0.0001507646768623582, 'epoch': 0.28}
{'loss': 0.3244, 'grad_norm': 0.6643338799476624, 'learning_rate': 0.0001506660088801184, 'epoch': 0.28}
{'loss': 0.3964, 'grad_norm': 0.8256207704544067, 'learning_rate': 0.00015056734089787866, 'epoch': 0.29}
{'loss': 0.3723, 'grad_norm': 0.8086589574813843, 'learning_rate': 0.00015046867291563888, 'epoch': 0.29}
{'loss': 0.3116, 'grad_norm': 0.7027623057365417, 'learning_rate': 0.00015037000493339913, 'epoch': 0.29}
{'loss': 0.2488, 'grad_norm': 0.6017193794250488, 'learning_rate': 0.00015027133695115936, 'epoch': 0.29}
{'loss': 0.2857, 'grad_norm': 0.7421947121620178, 'learning_rate': 0.0001501726689689196, 'epoch': 0.29}
{'loss': 0.2777, 'grad_norm': 0.7124384641647339, 'learning_rate': 0.00015007400098667983, 'epoch': 0.29}
{'loss': 0.2686, 'grad_norm': 0.712618350982666, 'learning_rate': 0.00014997533300444008, 'epoch': 0.29}
{'loss': 0.2779, 'grad_norm': 0.8161482214927673, 'learning_rate': 0.0001498766650222003, 'epoch': 0.29}
{'loss': 0.3579, 'grad_norm': 0.8668814301490784, 'learning_rate': 0.00014977799703996055, 'epoch': 0.29}
{'loss': 0.2731, 'grad_norm': 0.7598462104797363, 'learning_rate': 0.00014967932905772077, 'epoch': 0.29}
{'loss': 0.3028, 'grad_norm': 0.712749719619751, 'learning_rate': 0.00014958066107548102, 'epoch': 0.29}
{'loss': 0.2454, 'grad_norm': 0.6457271575927734, 'learning_rate': 0.00014948199309324124, 'epoch': 0.29}
{'loss': 0.4428, 'grad_norm': 0.897061288356781, 'learning_rate': 0.0001493833251110015, 'epoch': 0.29}
{'loss': 0.4118, 'grad_norm': 0.8325977325439453, 'learning_rate': 0.0001492846571287617, 'epoch': 0.29}
{'loss': 0.2588, 'grad_norm': 0.5998626947402954, 'learning_rate': 0.00014918598914652196, 'epoch': 0.29}
{'loss': 0.3162, 'grad_norm': 0.633382260799408, 'learning_rate': 0.00014908732116428218, 'epoch': 0.29}
 29%|██▉       | 624/2134 [16:10<23:11,  1.08it/s]
 29%|██▉       | 625/2134 [16:29<2:34:31,  6.14s/it]
                                                    

 29%|██▉       | 625/2134 [16:29<2:34:31,  6.14s/it]
 29%|██▉       | 626/2134 [16:30<1:55:08,  4.58s/it]
                                                    

 29%|██▉       | 626/2134 [16:30<1:55:08,  4.58s/it]
 29%|██▉       | 627/2134 [16:31<1:27:36,  3.49s/it]
                                                    

 29%|██▉       | 627/2134 [16:31<1:27:36,  3.49s/it]
 29%|██▉       | 628/2134 [16:32<1:08:19,  2.72s/it]
                                                    

 29%|██▉       | 628/2134 [16:32<1:08:19,  2.72s/it]
 29%|██▉       | 629/2134 [16:32<54:49,  2.19s/it]  
                                                  

 29%|██▉       | 629/2134 [16:32<54:49,  2.19s/it]
 30%|██▉       | 630/2134 [16:33<45:20,  1.81s/it]
                                                  

 30%|██▉       | 630/2134 [16:33<45:20,  1.81s/it]
 30%|██▉       | 631/2134 [16:34<38:41,  1.54s/it]
                                                  

 30%|██▉       | 631/2134 [16:34<38:41,  1.54s/it]
 30%|██▉       | 632/2134 [16:35<34:04,  1.36s/it]
                                                  

 30%|██▉       | 632/2134 [16:35<34:04,  1.36s/it]
 30%|██▉       | 633/2134 [16:36<30:52,  1.23s/it]
                                                  

 30%|██▉       | 633/2134 [16:36<30:52,  1.23s/it]
 30%|██▉       | 634/2134 [16:37<28:41,  1.15s/it]
                                                  

 30%|██▉       | 634/2134 [16:37<28:41,  1.15s/it]
 30%|██▉       | 635/2134 [16:38<27:05,  1.08s/it]
                                                  

 30%|██▉       | 635/2134 [16:38<27:05,  1.08s/it]
 30%|██▉       | 636/2134 [16:39<25:55,  1.04s/it]
                                                  

 30%|██▉       | 636/2134 [16:39<25:55,  1.04s/it]
 30%|██▉       | 637/2134 [16:40<25:05,  1.01s/it]
                                                  

 30%|██▉       | 637/2134 [16:40<25:05,  1.01s/it]
 30%|██▉       | 638/2134 [16:41<24:31,  1.02it/s]
                                                  

 30%|██▉       | 638/2134 [16:41<24:31,  1.02it/s]
 30%|██▉       | 639/2134 [16:42<24:08,  1.03it/s]
                                                  

 30%|██▉       | 639/2134 [16:42<24:08,  1.03it/s]
 30%|██▉       | 640/2134 [16:43<23:51,  1.04it/s]
                                                  

 30%|██▉       | 640/2134 [16:43<23:51,  1.04it/s]
 30%|███       | 641/2134 [16:44<23:34,  1.06it/s]
                                                  

 30%|███       | 641/2134 [16:44<23:34,  1.06it/s]
 30%|███       | 642/2134 [16:45<23:23,  1.06it/s]
                                                  

 30%|███       | 642/2134 [16:45<23:23,  1.06it/s]
 30%|███       | 643/2134 [16:46<23:16,  1.07it/s]
                                                  

 30%|███       | 643/2134 [16:46<23:16,  1.07it/s]
 30%|███       | 644/2134 [16:46<23:13,  1.07it/s]
                                                  

 30%|███       | 644/2134 [16:46<23:13,  1.07it/s]
 30%|███       | 645/2134 [16:47<23:06,  1.07it/s]
                                                  

 30%|███       | 645/2134 [16:47<23:06,  1.07it/s]
 30%|███       | 646/2134 [16:48<22:59,  1.08it/s]
                                                  

 30%|███       | 646/2134 [16:48<22:59,  1.08it/s]
 30%|███       | 647/2134 [16:49<22:56,  1.08it/s]
                                                  

 30%|███       | 647/2134 [16:49<22:56,  1.08it/s]
 30%|███       | 648/2134 [16:50<22:53,  1.08it/s]
                                                  

 30%|███       | 648/2134 [16:50<22:53,  1.08it/s]
 30%|███       | 649/2134 [16:51<22:50,  1.08it/s]
                                                  

 30%|███       | 649/2134 [16:51<22:50,  1.08it/s]
 30%|███       | 650/2134 [17:10<2:33:33,  6.21s/it]
                                                    

 30%|███       | 650/2134 [17:10<2:33:33,  6.21s/it]
 31%|███       | 651/2134 [17:11<1:54:21,  4.63s/it]
                                                    

 31%|███       | 651/2134 [17:11<1:54:21,  4.63s/it]
 31%|███       | 652/2134 [17:11<1:26:54,  3.52s/it]
                                                    

 31%|███       | 652/2134 [17:11<1:26:54,  3.52s/it]
 31%|███       | 653/2134 [17:12<1:07:41,  2.74s/it]
                                                    

 31%|███       | 653/2134 [17:12<1:07:41,  2.74s/it]
 31%|███       | 654/2134 [17:13<54:17,  2.20s/it]  
                                                  

 31%|███       | 654/2134 [17:13<54:17,  2.20s/it]
 31%|███       | 655/2134 [17:14<44:50,  1.82s/it]
                                                  

 31%|███       | 655/2134 [17:14<44:50,  1.82s/it]
 31%|███       | 656/2134 [17:15<38:13,  1.55s/it]
                                                  

 31%|███       | 656/2134 [17:15<38:13,  1.55s/it]
 31%|███       | 657/2134 [17:16<33:34,  1.36s/it]
                                                  

 31%|███       | 657/2134 [17:16<33:34,  1.36s/it]
 31%|███       | 658/2134 [17:17<30:19,  1.23s/it]
                                                  

 31%|███       | 658/2134 [17:17<30:19,  1.23s/it]
 31%|███       | 659/2134 [17:18<28:05,  1.14s/it]
                                                  

 31%|███       | 659/2134 [17:18<28:05,  1.14s/it]
 31%|███       | 660/2134 [17:19<26:32,  1.08s/it]
                                                  

 31%|███       | 660/2134 [17:19<26:32,  1.08s/it]
 31%|███       | 661/2134 [17:20<25:27,  1.04s/it]
                                                  

 31%|███       | 661/2134 [17:20<25:27,  1.04s/it]
 31%|███       | 662/2134 [17:21<24:41,  1.01s/it]
                                                  

 31%|███       | 662/2134 [17:21<24:41,  1.01s/it]
 31%|███       | 663/2134 [17:22<24:08,  1.02it/s]
                                                  

 31%|███       | 663/2134 [17:22<24:08,  1.02it/s]
 31%|███       | 664/2134 [17:23<23:42,  1.03it/s]
                                                  

 31%|███       | 664/2134 [17:23<23:42,  1.03it/s]
 31%|███       | 665/2134 [17:24<23:25,  1.05it/s]
                                                  

 31%|███       | 665/2134 [17:24<23:25,  1.05it/s]
 31%|███       | 666/2134 [17:25<23:11,  1.05it/s]
                                                  

 31%|███       | 666/2134 [17:25<23:11,  1.05it/s]
 31%|███▏      | 667/2134 [17:25<23:00,  1.06it/s]
                                                  

 31%|███▏      | 667/2134 [17:25<23:00,  1.06it/s]
 31%|███▏      | 668/2134 [17:26<22:56,  1.07it/s]
                                                  

 31%|███▏      | 668/2134 [17:26<22:56,  1.07it/s]
 31%|███▏      | 669/2134 [17:27<22:51,  1.07it/s]
                                                  

 31%|███▏      | 669/2134 [17:27<22:51,  1.07it/s]
 31%|███▏      | 670/2134 [17:28<23:49,  1.02it/s]
                                                  

 31%|███▏      | 670/2134 [17:28<23:49,  1.02it/s]
 31%|███▏      | 671/2134 [17:30<27:03,  1.11s/it]
                                                  

 31%|███▏      | 671/2134 [17:30<27:03,  1.11s/it]
 31%|███▏      | 672/2134 [17:31<29:52,  1.23s/it]
                                                  

 31%|███▏      | 672/2134 [17:31<29:52,  1.23s/it]
 32%|███▏      | 673/2134 [17:33<30:56,  1.27s/it]
                                                  

 32%|███▏      | 673/2134 [17:33<30:56,  1.27s/it]
 32%|███▏      | 674/2134 [17:34<28:26,  1.17s/it]
                                                  

 32%|███▏      | 674/2134 [17:34<28:26,  1.17s/it]
 32%|███▏      | 675/2134 [17:48<2:01:34,  5.00s/it]
                                                    

 32%|███▏      | 675/2134 [17:48<2:01:34,  5.00s/it]
 32%|███▏      | 676/2134 [17:48<1:31:48,  3.78s/it]
                                                    

 32%|███▏      | 676/2134 [17:48<1:31:48,  3.78s/it]
 32%|███▏      | 677/2134 [17:49<1:10:56,  2.92s/it]
                                                    

 32%|███▏      | 677/2134 [17:49<1:10:56,  2.92s/it]
 32%|███▏      | 678/2134 [17:50<56:19,  2.32s/it]  
                                                  

 32%|███▏      | 678/2134 [17:50<56:19,  2.32s/it]
 32%|███▏      | 679/2134 [17:51<46:08,  1.90s/it]
                                                  

 32%|███▏      | 679/2134 [17:51<46:08,  1.90s/it]
 32%|███▏      | 680/2134 [17:52<39:01,  1.61s/it]
                                                  

 32%|███▏      | 680/2134 [17:52<39:01,  1.61s/it]
 32%|███▏      | 681/2134 [17:53<34:03,  1.41s/it]
                                                  

 32%|███▏      | 681/2134 [17:53<34:03,  1.41s/it]
 32%|███▏      | 682/2134 [17:54<30:29,  1.26s/it]
                                                  

 32%|███▏      | 682/2134 [17:54<30:29,  1.26s/it]
 32%|███▏      | 683/2134 [17:55<28:00,  1.16s/it]
                                                  

 32%|███▏      | 683/2134 [17:55<28:00,  1.16s/it]
 32%|███▏      | 684/2134 [17:56<26:13,  1.09s/it]
                                                  

 32%|███▏      | 684/2134 [17:56<26:13,  1.09s/it]
 32%|███▏      | 685/2134 [17:57<25:03,  1.04s/it]
                                                  

 32%|███▏      | 685/2134 [17:57<25:03,  1.04s/it]
 32%|███▏      | 686/2134 [17:58<24:12,  1.00s/it]
                                                  

 32%|███▏      | 686/2134 [17:58<24:12,  1.00s/it]
 32%|███▏      | 687/2134 [17:59<23:33,  1.02it/s]
                                                  

 32%|███▏      | 687/2134 [17:59<23:33,  1.02it/s]
 32%|███▏      | 688/2134 [18:00<23:06,  1.04it/s]
                                                  

 32%|███▏      | 688/2134 [18:00<23:06,  1.04it/s]
 32%|███▏      | 689/2134 [18:00<22:51,  1.05it/s]
                                                  

 32%|███▏      | 689/2134 [18:00<22:51,  1.05it/s]
 32%|███▏      | 690/2134 [18:01<22:40,  1.06it/s]
                                                  

 32%|███▏      | 690/2134 [18:01<22:40,  1.06it/s]
 32%|███▏      | 691/2134 [18:03<25:40,  1.07s/it]
                                                  

 32%|███▏      | 691/2134 [18:03<25:40,  1.07s/it]
 32%|███▏      | 692/2134 [18:04<29:50,  1.24s/it]
                                                  

 32%|███▏      | 692/2134 [18:04<29:50,  1.24s/it]
 32%|███▏      | 693/2134 [18:06<32:52,  1.37s/it]
                                                  

 32%|███▏      | 693/2134 [18:06<32:52,  1.37s/it]
 33%|███▎      | 694/2134 [18:07<29:44,  1.24s/it]
                                                  

 33%|███▎      | 694/2134 [18:07<29:44,  1.24s/it]
 33%|███▎      | 695/2134 [18:08<27:28,  1.15s/it]
                                                  

 33%|███▎      | 695/2134 [18:08<27:28,  1.15s/it]
 33%|███▎      | 696/2134 [18:09<25:54,  1.08s/it]
                                                  

 33%|███▎      | 696/2134 [18:09<25:54,  1.08s/it]
 33%|███▎      | 697/2134 [18:10<24:48,  1.04s/it]
                                                  

 33%|███▎      | 697/2134 [18:10<24:48,  1.04s/it]
 33%|███▎      | 698/2134 [18:11<23:59,  1.00s/it]
                                                  

 33%|███▎      | 698/2134 [18:11<23:59,  1.00s/it]
 33%|███▎      | 699/2134 [18:12<23:25,  1.02it/s]
                                                  

 33%|███▎      | 699/2134 [18:12<23:25,  1.02it/s]
 33%|███▎      | 700/2134 [18:26<1:56:50,  4.89s/it]
                                                    

 33%|███▎      | 700/2134 [18:26<1:56:50,  4.89s/it]
 33%|███▎      | 701/2134 [18:27<1:28:20,  3.70s/it]
                                                    

 33%|███▎      | 701/2134 [18:27<1:28:20,  3.70s/it]
 33%|███▎      | 702/2134 [18:27<1:08:23,  2.87s/it]
                                                    
{'loss': 0.4169, 'grad_norm': 0.7574030160903931, 'learning_rate': 0.00014898865318204243, 'epoch': 0.29}
{'loss': 0.3884, 'grad_norm': 0.7223595976829529, 'learning_rate': 0.00014888998519980266, 'epoch': 0.29}
{'loss': 0.3011, 'grad_norm': 0.559756338596344, 'learning_rate': 0.0001487913172175629, 'epoch': 0.29}
{'loss': 0.3145, 'grad_norm': 0.6708600521087646, 'learning_rate': 0.00014869264923532313, 'epoch': 0.29}
{'loss': 0.2634, 'grad_norm': 0.6174870729446411, 'learning_rate': 0.0001485939812530834, 'epoch': 0.29}
{'loss': 0.3262, 'grad_norm': 0.7662078142166138, 'learning_rate': 0.00014849531327084363, 'epoch': 0.3}
{'loss': 0.3109, 'grad_norm': 0.7226492166519165, 'learning_rate': 0.00014839664528860388, 'epoch': 0.3}
{'loss': 0.2985, 'grad_norm': 0.7500384449958801, 'learning_rate': 0.0001482979773063641, 'epoch': 0.3}
{'loss': 0.4364, 'grad_norm': 0.9396530389785767, 'learning_rate': 0.00014819930932412435, 'epoch': 0.3}
{'loss': 0.3732, 'grad_norm': 0.8737787008285522, 'learning_rate': 0.00014810064134188457, 'epoch': 0.3}
{'loss': 0.2405, 'grad_norm': 0.6762996912002563, 'learning_rate': 0.00014800197335964482, 'epoch': 0.3}
{'loss': 0.3362, 'grad_norm': 0.826420783996582, 'learning_rate': 0.00014790330537740504, 'epoch': 0.3}
{'loss': 0.2718, 'grad_norm': 0.7387853264808655, 'learning_rate': 0.0001478046373951653, 'epoch': 0.3}
{'loss': 0.2741, 'grad_norm': 0.696565568447113, 'learning_rate': 0.0001477059694129255, 'epoch': 0.3}
{'loss': 0.2766, 'grad_norm': 0.7420431971549988, 'learning_rate': 0.00014760730143068576, 'epoch': 0.3}
{'loss': 0.2181, 'grad_norm': 0.7154533267021179, 'learning_rate': 0.00014750863344844598, 'epoch': 0.3}
{'loss': 0.3632, 'grad_norm': 0.957092821598053, 'learning_rate': 0.00014740996546620623, 'epoch': 0.3}
{'loss': 0.2789, 'grad_norm': 0.7493520975112915, 'learning_rate': 0.00014731129748396646, 'epoch': 0.3}
{'loss': 0.2844, 'grad_norm': 0.7856442332267761, 'learning_rate': 0.0001472126295017267, 'epoch': 0.3}
{'loss': 0.2937, 'grad_norm': 0.8515298962593079, 'learning_rate': 0.00014711396151948693, 'epoch': 0.3}
{'loss': 0.2986, 'grad_norm': 0.7222314476966858, 'learning_rate': 0.00014701529353724718, 'epoch': 0.3}
{'loss': 0.2768, 'grad_norm': 0.7163130640983582, 'learning_rate': 0.0001469166255550074, 'epoch': 0.3}
{'loss': 0.3412, 'grad_norm': 0.86704421043396, 'learning_rate': 0.00014681795757276765, 'epoch': 0.3}
{'loss': 0.2591, 'grad_norm': 0.6830464601516724, 'learning_rate': 0.00014671928959052787, 'epoch': 0.3}
{'loss': 0.2733, 'grad_norm': 0.783714771270752, 'learning_rate': 0.00014662062160828812, 'epoch': 0.3}
{'loss': 0.4376, 'grad_norm': 0.9640084505081177, 'learning_rate': 0.00014652195362604834, 'epoch': 0.3}
{'loss': 0.3348, 'grad_norm': 0.7383235692977905, 'learning_rate': 0.0001464232856438086, 'epoch': 0.31}
{'loss': 0.2866, 'grad_norm': 0.6635376214981079, 'learning_rate': 0.0001463246176615688, 'epoch': 0.31}
{'loss': 0.2835, 'grad_norm': 0.6207466125488281, 'learning_rate': 0.00014622594967932906, 'epoch': 0.31}
{'loss': 0.289, 'grad_norm': 0.6476560831069946, 'learning_rate': 0.00014612728169708929, 'epoch': 0.31}
{'loss': 0.4396, 'grad_norm': 0.9842248558998108, 'learning_rate': 0.00014602861371484956, 'epoch': 0.31}
{'loss': 0.2851, 'grad_norm': 0.7456576824188232, 'learning_rate': 0.00014592994573260978, 'epoch': 0.31}
{'loss': 0.2304, 'grad_norm': 0.6265904903411865, 'learning_rate': 0.00014583127775037003, 'epoch': 0.31}
{'loss': 0.3166, 'grad_norm': 0.7386235594749451, 'learning_rate': 0.00014573260976813026, 'epoch': 0.31}
{'loss': 0.2553, 'grad_norm': 0.6303123831748962, 'learning_rate': 0.0001456339417858905, 'epoch': 0.31}
{'loss': 0.3141, 'grad_norm': 0.7845609784126282, 'learning_rate': 0.00014553527380365073, 'epoch': 0.31}
{'loss': 0.4287, 'grad_norm': 0.8603923916816711, 'learning_rate': 0.00014543660582141098, 'epoch': 0.31}
{'loss': 0.3442, 'grad_norm': 0.8295338749885559, 'learning_rate': 0.0001453379378391712, 'epoch': 0.31}
{'loss': 0.28, 'grad_norm': 0.6882777214050293, 'learning_rate': 0.00014523926985693145, 'epoch': 0.31}
{'loss': 0.3361, 'grad_norm': 0.8157177567481995, 'learning_rate': 0.00014514060187469167, 'epoch': 0.31}
{'loss': 0.323, 'grad_norm': 0.8240812420845032, 'learning_rate': 0.00014504193389245192, 'epoch': 0.31}
{'loss': 0.2882, 'grad_norm': 0.7309383153915405, 'learning_rate': 0.00014494326591021214, 'epoch': 0.31}
{'loss': 0.2563, 'grad_norm': 0.6539267897605896, 'learning_rate': 0.0001448445979279724, 'epoch': 0.31}
{'loss': 0.3323, 'grad_norm': 0.7244070768356323, 'learning_rate': 0.0001447459299457326, 'epoch': 0.31}
{'loss': 0.3502, 'grad_norm': 0.8600120544433594, 'learning_rate': 0.00014464726196349286, 'epoch': 0.31}
{'loss': 0.3842, 'grad_norm': 0.8217847943305969, 'learning_rate': 0.00014454859398125308, 'epoch': 0.31}
{'loss': 0.2692, 'grad_norm': 0.7102296352386475, 'learning_rate': 0.00014444992599901333, 'epoch': 0.31}
{'loss': 0.3469, 'grad_norm': 0.7475538849830627, 'learning_rate': 0.00014435125801677356, 'epoch': 0.31}
{'loss': 0.2955, 'grad_norm': 0.8260040283203125, 'learning_rate': 0.0001442525900345338, 'epoch': 0.32}
{'loss': 0.2634, 'grad_norm': 0.6736821532249451, 'learning_rate': 0.00014415392205229403, 'epoch': 0.32}
{'loss': 0.2546, 'grad_norm': 0.5590516328811646, 'learning_rate': 0.00014405525407005428, 'epoch': 0.32}
{'loss': 0.1991, 'grad_norm': 0.5227749943733215, 'learning_rate': 0.0001439565860878145, 'epoch': 0.32}
{'loss': 0.247, 'grad_norm': 0.7122058868408203, 'learning_rate': 0.00014385791810557475, 'epoch': 0.32}
{'loss': 0.2865, 'grad_norm': 0.8047088384628296, 'learning_rate': 0.00014375925012333497, 'epoch': 0.32}
{'loss': 0.3052, 'grad_norm': 0.8472916483879089, 'learning_rate': 0.00014366058214109522, 'epoch': 0.32}
{'loss': 0.2265, 'grad_norm': 0.659302294254303, 'learning_rate': 0.00014356191415885544, 'epoch': 0.32}
{'loss': 0.2979, 'grad_norm': 0.7370694279670715, 'learning_rate': 0.0001434632461766157, 'epoch': 0.32}
{'loss': 0.3215, 'grad_norm': 0.8348281979560852, 'learning_rate': 0.00014336457819437594, 'epoch': 0.32}
{'loss': 0.2714, 'grad_norm': 0.6625922918319702, 'learning_rate': 0.0001432659102121362, 'epoch': 0.32}
{'loss': 0.2348, 'grad_norm': 0.6689630150794983, 'learning_rate': 0.0001431672422298964, 'epoch': 0.32}
{'loss': 0.3264, 'grad_norm': 0.7627475261688232, 'learning_rate': 0.00014306857424765666, 'epoch': 0.32}
{'loss': 0.3291, 'grad_norm': 0.736260712146759, 'learning_rate': 0.00014296990626541688, 'epoch': 0.32}
{'loss': 0.3054, 'grad_norm': 0.7310597896575928, 'learning_rate': 0.00014287123828317713, 'epoch': 0.32}
{'loss': 0.2664, 'grad_norm': 0.6931747794151306, 'learning_rate': 0.00014277257030093736, 'epoch': 0.32}
{'loss': 0.2188, 'grad_norm': 0.6110300421714783, 'learning_rate': 0.0001426739023186976, 'epoch': 0.32}
{'loss': 0.2388, 'grad_norm': 0.6178945899009705, 'learning_rate': 0.00014257523433645783, 'epoch': 0.32}
{'loss': 0.2698, 'grad_norm': 0.6819539070129395, 'learning_rate': 0.00014247656635421808, 'epoch': 0.32}
{'loss': 0.2239, 'grad_norm': 0.5935502052307129, 'learning_rate': 0.0001423778983719783, 'epoch': 0.32}
{'loss': 0.2354, 'grad_norm': 0.7395020127296448, 'learning_rate': 0.00014227923038973855, 'epoch': 0.32}
{'loss': 0.3182, 'grad_norm': 0.7906991243362427, 'learning_rate': 0.00014218056240749877, 'epoch': 0.33}
{'loss': 0.2544, 'grad_norm': 0.7327808141708374, 'learning_rate': 0.00014208189442525902, 'epoch': 0.33}
{'loss': 0.3436, 'grad_norm': 0.8676866292953491, 'learning_rate': 0.00014198322644301924, 'epoch': 0.33}
{'loss': 0.2512, 'grad_norm': 0.6513761281967163, 'learning_rate': 0.0001418845584607795, 'epoch': 0.33}
{'loss': 0.2726, 'grad_norm': 0.6864241361618042, 'learning_rate': 0.0001417858904785397, 'epoch': 0.33}
{'loss': 0.1881, 'grad_norm': 0.5096568465232849, 'learning_rate': 0.00014168722249629996, 'epoch': 0.33}
{'loss': 0.2472, 'grad_norm': 0.6642020344734192, 'learning_rate': 0.00014158855451406018, 'epoch': 0.33}
{'loss': 0.2874, 'grad_norm': 0.78556889295578, 'learning_rate': 0.00014148988653182043, 'epoch': 0.33}
{'loss': 0.2037, 'grad_norm': 0.5589837431907654, 'learning_rate': 0.00014139121854958066, 'epoch': 0.33}
 33%|███▎      | 702/2134 [18:27<1:08:23,  2.87s/it]
 33%|███▎      | 703/2134 [18:28<54:24,  2.28s/it]  
                                                  

 33%|███▎      | 703/2134 [18:28<54:24,  2.28s/it]
 33%|███▎      | 704/2134 [18:29<44:38,  1.87s/it]
                                                  

 33%|███▎      | 704/2134 [18:29<44:38,  1.87s/it]
 33%|███▎      | 705/2134 [18:30<37:46,  1.59s/it]
                                                  

 33%|███▎      | 705/2134 [18:30<37:46,  1.59s/it]
 33%|███▎      | 706/2134 [18:31<32:57,  1.38s/it]
                                                  

 33%|███▎      | 706/2134 [18:31<32:57,  1.38s/it]
 33%|███▎      | 707/2134 [18:32<29:37,  1.25s/it]
                                                  

 33%|███▎      | 707/2134 [18:32<29:37,  1.25s/it]
 33%|███▎      | 708/2134 [18:33<27:15,  1.15s/it]
                                                  

 33%|███▎      | 708/2134 [18:33<27:15,  1.15s/it]
 33%|███▎      | 709/2134 [18:34<25:37,  1.08s/it]
                                                  

 33%|███▎      | 709/2134 [18:34<25:37,  1.08s/it]
 33%|███▎      | 710/2134 [18:35<25:08,  1.06s/it]
                                                  

 33%|███▎      | 710/2134 [18:35<25:08,  1.06s/it]
 33%|███▎      | 711/2134 [18:36<27:59,  1.18s/it]
                                                  

 33%|███▎      | 711/2134 [18:36<27:59,  1.18s/it]
 33%|███▎      | 712/2134 [18:38<31:48,  1.34s/it]
                                                  

 33%|███▎      | 712/2134 [18:38<31:48,  1.34s/it]
 33%|███▎      | 713/2134 [18:40<32:29,  1.37s/it]
                                                  

 33%|███▎      | 713/2134 [18:40<32:29,  1.37s/it]
 33%|███▎      | 714/2134 [18:40<29:27,  1.24s/it]
                                                  

 33%|███▎      | 714/2134 [18:40<29:27,  1.24s/it]
 34%|███▎      | 715/2134 [18:41<27:10,  1.15s/it]
                                                  

 34%|███▎      | 715/2134 [18:41<27:10,  1.15s/it]
 34%|███▎      | 716/2134 [18:42<25:32,  1.08s/it]
                                                  

 34%|███▎      | 716/2134 [18:42<25:32,  1.08s/it]
 34%|███▎      | 717/2134 [18:43<24:22,  1.03s/it]
                                                  

 34%|███▎      | 717/2134 [18:43<24:22,  1.03s/it]
 34%|███▎      | 718/2134 [18:44<23:33,  1.00it/s]
                                                  

 34%|███▎      | 718/2134 [18:44<23:33,  1.00it/s]
 34%|███▎      | 719/2134 [18:45<22:59,  1.03it/s]
                                                  

 34%|███▎      | 719/2134 [18:45<22:59,  1.03it/s]
 34%|███▎      | 720/2134 [18:46<22:33,  1.04it/s]
                                                  

 34%|███▎      | 720/2134 [18:46<22:33,  1.04it/s]
 34%|███▍      | 721/2134 [18:47<22:15,  1.06it/s]
                                                  

 34%|███▍      | 721/2134 [18:47<22:15,  1.06it/s]
 34%|███▍      | 722/2134 [18:48<22:04,  1.07it/s]
                                                  

 34%|███▍      | 722/2134 [18:48<22:04,  1.07it/s]
 34%|███▍      | 723/2134 [18:49<21:56,  1.07it/s]
                                                  

 34%|███▍      | 723/2134 [18:49<21:56,  1.07it/s]
 34%|███▍      | 724/2134 [18:50<21:50,  1.08it/s]
                                                  

 34%|███▍      | 724/2134 [18:50<21:50,  1.08it/s]
 34%|███▍      | 725/2134 [19:04<1:53:09,  4.82s/it]
                                                    

 34%|███▍      | 725/2134 [19:04<1:53:09,  4.82s/it]
 34%|███▍      | 726/2134 [19:05<1:25:43,  3.65s/it]
                                                    

 34%|███▍      | 726/2134 [19:05<1:25:43,  3.65s/it]
 34%|███▍      | 727/2134 [19:05<1:06:31,  2.84s/it]
                                                    

 34%|███▍      | 727/2134 [19:05<1:06:31,  2.84s/it]
 34%|███▍      | 728/2134 [19:06<53:03,  2.26s/it]  
                                                  

 34%|███▍      | 728/2134 [19:06<53:03,  2.26s/it]
 34%|███▍      | 729/2134 [19:07<43:37,  1.86s/it]
                                                  

 34%|███▍      | 729/2134 [19:07<43:37,  1.86s/it]
 34%|███▍      | 730/2134 [19:09<39:44,  1.70s/it]
                                                  

 34%|███▍      | 730/2134 [19:09<39:44,  1.70s/it]
 34%|███▍      | 731/2134 [19:10<38:49,  1.66s/it]
                                                  

 34%|███▍      | 731/2134 [19:10<38:49,  1.66s/it]
 34%|███▍      | 732/2134 [19:12<39:10,  1.68s/it]
                                                  

 34%|███▍      | 732/2134 [19:12<39:10,  1.68s/it]
 34%|███▍      | 733/2134 [19:13<35:38,  1.53s/it]
                                                  

 34%|███▍      | 733/2134 [19:13<35:38,  1.53s/it]
 34%|███▍      | 734/2134 [19:14<31:22,  1.34s/it]
                                                  

 34%|███▍      | 734/2134 [19:14<31:22,  1.34s/it]
 34%|███▍      | 735/2134 [19:15<28:24,  1.22s/it]
                                                  

 34%|███▍      | 735/2134 [19:15<28:24,  1.22s/it]
 34%|███▍      | 736/2134 [19:16<26:17,  1.13s/it]
                                                  

 34%|███▍      | 736/2134 [19:16<26:17,  1.13s/it]
 35%|███▍      | 737/2134 [19:17<24:49,  1.07s/it]
                                                  

 35%|███▍      | 737/2134 [19:17<24:49,  1.07s/it]
 35%|███▍      | 738/2134 [19:18<23:49,  1.02s/it]
                                                  

 35%|███▍      | 738/2134 [19:18<23:49,  1.02s/it]
 35%|███▍      | 739/2134 [19:19<23:03,  1.01it/s]
                                                  

 35%|███▍      | 739/2134 [19:19<23:03,  1.01it/s]
 35%|███▍      | 740/2134 [19:20<22:32,  1.03it/s]
                                                  

 35%|███▍      | 740/2134 [19:20<22:32,  1.03it/s]
 35%|███▍      | 741/2134 [19:20<22:11,  1.05it/s]
                                                  

 35%|███▍      | 741/2134 [19:20<22:11,  1.05it/s]
 35%|███▍      | 742/2134 [19:21<21:55,  1.06it/s]
                                                  

 35%|███▍      | 742/2134 [19:21<21:55,  1.06it/s]
 35%|███▍      | 743/2134 [19:22<21:53,  1.06it/s]
                                                  

 35%|███▍      | 743/2134 [19:22<21:53,  1.06it/s]
 35%|███▍      | 744/2134 [19:23<21:40,  1.07it/s]
                                                  

 35%|███▍      | 744/2134 [19:23<21:40,  1.07it/s]
 35%|███▍      | 745/2134 [19:24<21:31,  1.08it/s]
                                                  

 35%|███▍      | 745/2134 [19:24<21:31,  1.08it/s]
 35%|███▍      | 746/2134 [19:25<21:26,  1.08it/s]
                                                  

 35%|███▍      | 746/2134 [19:25<21:26,  1.08it/s]
 35%|███▌      | 747/2134 [19:26<21:24,  1.08it/s]
                                                  

 35%|███▌      | 747/2134 [19:26<21:24,  1.08it/s]
 35%|███▌      | 748/2134 [19:27<21:26,  1.08it/s]
                                                  

 35%|███▌      | 748/2134 [19:27<21:26,  1.08it/s]
 35%|███▌      | 749/2134 [19:28<21:24,  1.08it/s]
                                                  

 35%|███▌      | 749/2134 [19:28<21:24,  1.08it/s]
 35%|███▌      | 750/2134 [19:42<1:53:39,  4.93s/it]
                                                    

 35%|███▌      | 750/2134 [19:42<1:53:39,  4.93s/it]
 35%|███▌      | 751/2134 [19:44<1:30:35,  3.93s/it]
                                                    

 35%|███▌      | 751/2134 [19:44<1:30:35,  3.93s/it]
 35%|███▌      | 752/2134 [19:45<1:15:09,  3.26s/it]
                                                    

 35%|███▌      | 752/2134 [19:45<1:15:09,  3.26s/it]
 35%|███▌      | 753/2134 [19:47<1:01:01,  2.65s/it]
                                                    

 35%|███▌      | 753/2134 [19:47<1:01:01,  2.65s/it]
 35%|███▌      | 754/2134 [19:48<49:06,  2.14s/it]  
                                                  

 35%|███▌      | 754/2134 [19:48<49:06,  2.14s/it]
 35%|███▌      | 755/2134 [19:49<40:47,  1.77s/it]
                                                  

 35%|███▌      | 755/2134 [19:49<40:47,  1.77s/it]
 35%|███▌      | 756/2134 [19:49<34:55,  1.52s/it]
                                                  

 35%|███▌      | 756/2134 [19:49<34:55,  1.52s/it]
 35%|███▌      | 757/2134 [19:50<30:49,  1.34s/it]
                                                  

 35%|███▌      | 757/2134 [19:50<30:49,  1.34s/it]
 36%|███▌      | 758/2134 [19:51<27:57,  1.22s/it]
                                                  

 36%|███▌      | 758/2134 [19:51<27:57,  1.22s/it]
 36%|███▌      | 759/2134 [19:52<25:56,  1.13s/it]
                                                  

 36%|███▌      | 759/2134 [19:52<25:56,  1.13s/it]
 36%|███▌      | 760/2134 [19:53<24:31,  1.07s/it]
                                                  

 36%|███▌      | 760/2134 [19:53<24:31,  1.07s/it]
 36%|███▌      | 761/2134 [19:54<23:31,  1.03s/it]
                                                  

 36%|███▌      | 761/2134 [19:54<23:31,  1.03s/it]
 36%|███▌      | 762/2134 [19:55<22:48,  1.00it/s]
                                                  

 36%|███▌      | 762/2134 [19:55<22:48,  1.00it/s]
 36%|███▌      | 763/2134 [19:56<22:15,  1.03it/s]
                                                  

 36%|███▌      | 763/2134 [19:56<22:15,  1.03it/s]
 36%|███▌      | 764/2134 [19:57<21:54,  1.04it/s]
                                                  

 36%|███▌      | 764/2134 [19:57<21:54,  1.04it/s]
 36%|███▌      | 765/2134 [19:58<21:36,  1.06it/s]
                                                  

 36%|███▌      | 765/2134 [19:58<21:36,  1.06it/s]
 36%|███▌      | 766/2134 [19:59<21:29,  1.06it/s]
                                                  

 36%|███▌      | 766/2134 [19:59<21:29,  1.06it/s]
 36%|███▌      | 767/2134 [20:00<21:22,  1.07it/s]
                                                  

 36%|███▌      | 767/2134 [20:00<21:22,  1.07it/s]
 36%|███▌      | 768/2134 [20:01<21:16,  1.07it/s]
                                                  

 36%|███▌      | 768/2134 [20:01<21:16,  1.07it/s]
 36%|███▌      | 769/2134 [20:01<21:10,  1.07it/s]
                                                  

 36%|███▌      | 769/2134 [20:01<21:10,  1.07it/s]
 36%|███▌      | 770/2134 [20:02<21:04,  1.08it/s]
                                                  

 36%|███▌      | 770/2134 [20:02<21:04,  1.08it/s]
 36%|███▌      | 771/2134 [20:03<21:06,  1.08it/s]
                                                  

 36%|███▌      | 771/2134 [20:03<21:06,  1.08it/s]
 36%|███▌      | 772/2134 [20:04<21:07,  1.07it/s]
                                                  

 36%|███▌      | 772/2134 [20:04<21:07,  1.07it/s]
 36%|███▌      | 773/2134 [20:05<21:05,  1.08it/s]
                                                  

 36%|███▌      | 773/2134 [20:05<21:05,  1.08it/s]
 36%|███▋      | 774/2134 [20:06<21:02,  1.08it/s]
                                                  

 36%|███▋      | 774/2134 [20:06<21:02,  1.08it/s]
 36%|███▋      | 775/2134 [20:25<2:25:33,  6.43s/it]
                                                    

 36%|███▋      | 775/2134 [20:25<2:25:33,  6.43s/it]
 36%|███▋      | 776/2134 [20:26<1:48:13,  4.78s/it]
                                                    

 36%|███▋      | 776/2134 [20:26<1:48:13,  4.78s/it]
 36%|███▋      | 777/2134 [20:27<1:22:03,  3.63s/it]
                                                    

 36%|███▋      | 777/2134 [20:27<1:22:03,  3.63s/it]
 36%|███▋      | 778/2134 [20:28<1:03:46,  2.82s/it]
                                                    

 36%|███▋      | 778/2134 [20:28<1:03:46,  2.82s/it]
 37%|███▋      | 779/2134 [20:29<50:58,  2.26s/it]  
                                                  

 37%|███▋      | 779/2134 [20:29<50:58,  2.26s/it]
 37%|███▋      | 780/2134 [20:30<41:57,  1.86s/it]
                                                  
{'loss': 0.2843, 'grad_norm': 0.8275536894798279, 'learning_rate': 0.0001412925505673409, 'epoch': 0.33}
{'loss': 0.3016, 'grad_norm': 0.852634608745575, 'learning_rate': 0.00014119388258510113, 'epoch': 0.33}
{'loss': 0.2829, 'grad_norm': 0.7849094271659851, 'learning_rate': 0.00014109521460286138, 'epoch': 0.33}
{'loss': 0.2764, 'grad_norm': 0.8097130060195923, 'learning_rate': 0.0001409965466206216, 'epoch': 0.33}
{'loss': 0.2747, 'grad_norm': 0.7325395941734314, 'learning_rate': 0.00014089787863838185, 'epoch': 0.33}
{'loss': 0.2122, 'grad_norm': 0.5506746172904968, 'learning_rate': 0.00014079921065614207, 'epoch': 0.33}
{'loss': 0.2691, 'grad_norm': 0.749641478061676, 'learning_rate': 0.00014070054267390235, 'epoch': 0.33}
{'loss': 0.3257, 'grad_norm': 0.8082520365715027, 'learning_rate': 0.00014060187469166257, 'epoch': 0.33}
{'loss': 0.2782, 'grad_norm': 0.6761248111724854, 'learning_rate': 0.00014050320670942282, 'epoch': 0.33}
{'loss': 0.1919, 'grad_norm': 0.5328956842422485, 'learning_rate': 0.00014040453872718304, 'epoch': 0.33}
{'loss': 0.2339, 'grad_norm': 0.6098616123199463, 'learning_rate': 0.0001403058707449433, 'epoch': 0.33}
{'loss': 0.2094, 'grad_norm': 0.5945837497711182, 'learning_rate': 0.0001402072027627035, 'epoch': 0.33}
{'loss': 0.3461, 'grad_norm': 0.7801467776298523, 'learning_rate': 0.00014010853478046376, 'epoch': 0.34}
{'loss': 0.2784, 'grad_norm': 0.6485592722892761, 'learning_rate': 0.00014000986679822398, 'epoch': 0.34}
{'loss': 0.1843, 'grad_norm': 0.5933653712272644, 'learning_rate': 0.00013991119881598423, 'epoch': 0.34}
{'loss': 0.249, 'grad_norm': 0.6778901815414429, 'learning_rate': 0.00013981253083374446, 'epoch': 0.34}
{'loss': 0.1895, 'grad_norm': 0.5492984056472778, 'learning_rate': 0.0001397138628515047, 'epoch': 0.34}
{'loss': 0.2903, 'grad_norm': 0.8357254266738892, 'learning_rate': 0.00013961519486926493, 'epoch': 0.34}
{'loss': 0.2409, 'grad_norm': 0.6929840445518494, 'learning_rate': 0.00013951652688702518, 'epoch': 0.34}
{'loss': 0.3122, 'grad_norm': 0.804783046245575, 'learning_rate': 0.0001394178589047854, 'epoch': 0.34}
{'loss': 0.2491, 'grad_norm': 0.7865405678749084, 'learning_rate': 0.00013931919092254565, 'epoch': 0.34}
{'loss': 0.2725, 'grad_norm': 0.8523194789886475, 'learning_rate': 0.00013922052294030587, 'epoch': 0.34}
{'loss': 0.3104, 'grad_norm': 0.8897044658660889, 'learning_rate': 0.00013912185495806612, 'epoch': 0.34}
{'loss': 0.2448, 'grad_norm': 0.8301560282707214, 'learning_rate': 0.00013902318697582634, 'epoch': 0.34}
{'loss': 0.2687, 'grad_norm': 0.7656558156013489, 'learning_rate': 0.0001389245189935866, 'epoch': 0.34}
{'loss': 0.3073, 'grad_norm': 0.9131282567977905, 'learning_rate': 0.00013882585101134681, 'epoch': 0.34}
{'loss': 0.211, 'grad_norm': 0.6696318984031677, 'learning_rate': 0.00013872718302910706, 'epoch': 0.34}
{'loss': 0.2386, 'grad_norm': 0.7614521980285645, 'learning_rate': 0.00013862851504686729, 'epoch': 0.34}
{'loss': 0.1798, 'grad_norm': 0.5713786482810974, 'learning_rate': 0.00013852984706462753, 'epoch': 0.34}
{'loss': 0.2809, 'grad_norm': 0.7784355878829956, 'learning_rate': 0.00013843117908238776, 'epoch': 0.34}
{'loss': 0.2631, 'grad_norm': 0.6701965928077698, 'learning_rate': 0.000138332511100148, 'epoch': 0.34}
{'loss': 0.2692, 'grad_norm': 0.7017505168914795, 'learning_rate': 0.00013823384311790823, 'epoch': 0.34}
{'loss': 0.2511, 'grad_norm': 0.7092509865760803, 'learning_rate': 0.0001381351751356685, 'epoch': 0.34}
{'loss': 0.2226, 'grad_norm': 0.7424836754798889, 'learning_rate': 0.00013803650715342873, 'epoch': 0.34}
{'loss': 0.2663, 'grad_norm': 0.7742400169372559, 'learning_rate': 0.00013793783917118898, 'epoch': 0.35}
{'loss': 0.3192, 'grad_norm': 0.9134573936462402, 'learning_rate': 0.0001378391711889492, 'epoch': 0.35}
{'loss': 0.2642, 'grad_norm': 0.8184148669242859, 'learning_rate': 0.00013774050320670945, 'epoch': 0.35}
{'loss': 0.2978, 'grad_norm': 0.8380507826805115, 'learning_rate': 0.00013764183522446967, 'epoch': 0.35}
{'loss': 0.281, 'grad_norm': 0.74412602186203, 'learning_rate': 0.00013754316724222992, 'epoch': 0.35}
{'loss': 0.2875, 'grad_norm': 0.8242824077606201, 'learning_rate': 0.00013744449925999014, 'epoch': 0.35}
{'loss': 0.2468, 'grad_norm': 0.7241191864013672, 'learning_rate': 0.0001373458312777504, 'epoch': 0.35}
{'loss': 0.206, 'grad_norm': 0.7211105227470398, 'learning_rate': 0.0001372471632955106, 'epoch': 0.35}
{'loss': 0.2501, 'grad_norm': 0.6893842220306396, 'learning_rate': 0.00013714849531327086, 'epoch': 0.35}
{'loss': 0.1795, 'grad_norm': 0.552578866481781, 'learning_rate': 0.00013704982733103108, 'epoch': 0.35}
{'loss': 0.274, 'grad_norm': 0.9087275862693787, 'learning_rate': 0.00013695115934879133, 'epoch': 0.35}
{'loss': 0.2327, 'grad_norm': 0.6697203516960144, 'learning_rate': 0.00013685249136655156, 'epoch': 0.35}
{'loss': 0.2418, 'grad_norm': 0.6861463785171509, 'learning_rate': 0.0001367538233843118, 'epoch': 0.35}
{'loss': 0.2092, 'grad_norm': 0.6959409713745117, 'learning_rate': 0.00013665515540207203, 'epoch': 0.35}
{'loss': 0.2368, 'grad_norm': 0.7138563990592957, 'learning_rate': 0.00013655648741983228, 'epoch': 0.35}
{'loss': 0.2108, 'grad_norm': 0.6805985569953918, 'learning_rate': 0.0001364578194375925, 'epoch': 0.35}
{'loss': 0.2018, 'grad_norm': 0.7328963875770569, 'learning_rate': 0.00013635915145535275, 'epoch': 0.35}
{'loss': 0.2211, 'grad_norm': 0.7618284225463867, 'learning_rate': 0.00013626048347311297, 'epoch': 0.35}
{'loss': 0.1659, 'grad_norm': 0.630710244178772, 'learning_rate': 0.00013616181549087322, 'epoch': 0.35}
{'loss': 0.2402, 'grad_norm': 0.7682555913925171, 'learning_rate': 0.00013606314750863344, 'epoch': 0.35}
{'loss': 0.1648, 'grad_norm': 0.6051332354545593, 'learning_rate': 0.0001359644795263937, 'epoch': 0.35}
{'loss': 0.2077, 'grad_norm': 0.7216676473617554, 'learning_rate': 0.00013586581154415391, 'epoch': 0.36}
{'loss': 0.2325, 'grad_norm': 0.7801878452301025, 'learning_rate': 0.00013576714356191416, 'epoch': 0.36}
{'loss': 0.2367, 'grad_norm': 0.6788930892944336, 'learning_rate': 0.00013566847557967439, 'epoch': 0.36}
{'loss': 0.2198, 'grad_norm': 0.6225298643112183, 'learning_rate': 0.00013556980759743464, 'epoch': 0.36}
{'loss': 0.1857, 'grad_norm': 0.6692118048667908, 'learning_rate': 0.00013547113961519488, 'epoch': 0.36}
{'loss': 0.2414, 'grad_norm': 0.7059696912765503, 'learning_rate': 0.00013537247163295513, 'epoch': 0.36}
{'loss': 0.1887, 'grad_norm': 0.6809437274932861, 'learning_rate': 0.00013527380365071536, 'epoch': 0.36}
{'loss': 0.1845, 'grad_norm': 0.6287754774093628, 'learning_rate': 0.0001351751356684756, 'epoch': 0.36}
{'loss': 0.2085, 'grad_norm': 0.6872952580451965, 'learning_rate': 0.00013507646768623583, 'epoch': 0.36}
{'loss': 0.2208, 'grad_norm': 0.6799322962760925, 'learning_rate': 0.00013497779970399608, 'epoch': 0.36}
{'loss': 0.221, 'grad_norm': 0.716888427734375, 'learning_rate': 0.0001348791317217563, 'epoch': 0.36}
{'loss': 0.2058, 'grad_norm': 0.6726014614105225, 'learning_rate': 0.00013478046373951655, 'epoch': 0.36}
{'loss': 0.2618, 'grad_norm': 0.8350569009780884, 'learning_rate': 0.00013468179575727677, 'epoch': 0.36}
{'loss': 0.2148, 'grad_norm': 0.7361509203910828, 'learning_rate': 0.00013458312777503702, 'epoch': 0.36}
{'loss': 0.2584, 'grad_norm': 0.7505234479904175, 'learning_rate': 0.00013448445979279724, 'epoch': 0.36}
{'loss': 0.2149, 'grad_norm': 0.6463306546211243, 'learning_rate': 0.0001343857918105575, 'epoch': 0.36}
{'loss': 0.178, 'grad_norm': 0.6066938042640686, 'learning_rate': 0.00013428712382831771, 'epoch': 0.36}
{'loss': 0.1888, 'grad_norm': 0.5686923861503601, 'learning_rate': 0.00013418845584607796, 'epoch': 0.36}
{'loss': 0.2227, 'grad_norm': 0.7142390608787537, 'learning_rate': 0.00013408978786383819, 'epoch': 0.36}
{'loss': 0.2604, 'grad_norm': 0.7661150693893433, 'learning_rate': 0.00013399111988159843, 'epoch': 0.36}
{'loss': 0.2109, 'grad_norm': 0.7854909896850586, 'learning_rate': 0.00013389245189935866, 'epoch': 0.36}
{'loss': 0.1767, 'grad_norm': 0.6199455261230469, 'learning_rate': 0.0001337937839171189, 'epoch': 0.37}
{'loss': 0.2412, 'grad_norm': 0.7752251625061035, 'learning_rate': 0.00013369511593487913, 'epoch': 0.37}
 37%|███▋      | 780/2134 [20:30<41:57,  1.86s/it]
 37%|███▋      | 781/2134 [20:31<35:41,  1.58s/it]
                                                  

 37%|███▋      | 781/2134 [20:31<35:41,  1.58s/it]
 37%|███▋      | 782/2134 [20:32<31:18,  1.39s/it]
                                                  

 37%|███▋      | 782/2134 [20:32<31:18,  1.39s/it]
 37%|███▋      | 783/2134 [20:33<28:10,  1.25s/it]
                                                  

 37%|███▋      | 783/2134 [20:33<28:10,  1.25s/it]
 37%|███▋      | 784/2134 [20:34<25:59,  1.15s/it]
                                                  

 37%|███▋      | 784/2134 [20:34<25:59,  1.15s/it]
 37%|███▋      | 785/2134 [20:35<24:31,  1.09s/it]
                                                  

 37%|███▋      | 785/2134 [20:35<24:31,  1.09s/it]
 37%|███▋      | 786/2134 [20:36<23:28,  1.05s/it]
                                                  

 37%|███▋      | 786/2134 [20:36<23:28,  1.05s/it]
 37%|███▋      | 787/2134 [20:37<22:46,  1.01s/it]
                                                  

 37%|███▋      | 787/2134 [20:37<22:46,  1.01s/it]
 37%|███▋      | 788/2134 [20:38<22:15,  1.01it/s]
                                                  

 37%|███▋      | 788/2134 [20:38<22:15,  1.01it/s]
 37%|███▋      | 789/2134 [20:39<21:52,  1.02it/s]
                                                  

 37%|███▋      | 789/2134 [20:39<21:52,  1.02it/s]
 37%|███▋      | 790/2134 [20:39<21:33,  1.04it/s]
                                                  

 37%|███▋      | 790/2134 [20:39<21:33,  1.04it/s]
 37%|███▋      | 791/2134 [20:40<21:22,  1.05it/s]
                                                  

 37%|███▋      | 791/2134 [20:40<21:22,  1.05it/s]
 37%|███▋      | 792/2134 [20:41<21:14,  1.05it/s]
                                                  

 37%|███▋      | 792/2134 [20:41<21:14,  1.05it/s]
 37%|███▋      | 793/2134 [20:42<21:06,  1.06it/s]
                                                  

 37%|███▋      | 793/2134 [20:42<21:06,  1.06it/s]
 37%|███▋      | 794/2134 [20:43<20:59,  1.06it/s]
                                                  

 37%|███▋      | 794/2134 [20:43<20:59,  1.06it/s]
 37%|███▋      | 795/2134 [20:44<20:50,  1.07it/s]
                                                  

 37%|███▋      | 795/2134 [20:44<20:50,  1.07it/s]
 37%|███▋      | 796/2134 [20:45<20:44,  1.08it/s]
                                                  

 37%|███▋      | 796/2134 [20:45<20:44,  1.08it/s]
 37%|███▋      | 797/2134 [20:46<20:39,  1.08it/s]
                                                  

 37%|███▋      | 797/2134 [20:46<20:39,  1.08it/s]
 37%|███▋      | 798/2134 [20:47<21:36,  1.03it/s]
                                                  

 37%|███▋      | 798/2134 [20:47<21:36,  1.03it/s]
 37%|███▋      | 799/2134 [20:48<23:35,  1.06s/it]
                                                  

 37%|███▋      | 799/2134 [20:48<23:35,  1.06s/it]
 37%|███▋      | 800/2134 [21:03<1:56:54,  5.26s/it]
                                                    

 37%|███▋      | 800/2134 [21:03<1:56:54,  5.26s/it]
 38%|███▊      | 801/2134 [21:04<1:28:00,  3.96s/it]
                                                    

 38%|███▊      | 801/2134 [21:04<1:28:00,  3.96s/it]
 38%|███▊      | 802/2134 [21:05<1:07:42,  3.05s/it]
                                                    

 38%|███▊      | 802/2134 [21:05<1:07:42,  3.05s/it]
 38%|███▊      | 803/2134 [21:06<53:29,  2.41s/it]  
                                                  

 38%|███▊      | 803/2134 [21:06<53:29,  2.41s/it]
 38%|███▊      | 804/2134 [21:07<43:33,  1.97s/it]
                                                  

 38%|███▊      | 804/2134 [21:07<43:33,  1.97s/it]
 38%|███▊      | 805/2134 [21:08<36:39,  1.66s/it]
                                                  

 38%|███▊      | 805/2134 [21:08<36:39,  1.66s/it]
 38%|███▊      | 806/2134 [21:09<31:55,  1.44s/it]
                                                  

 38%|███▊      | 806/2134 [21:09<31:55,  1.44s/it]
 38%|███▊      | 807/2134 [21:10<28:31,  1.29s/it]
                                                  

 38%|███▊      | 807/2134 [21:10<28:31,  1.29s/it]
 38%|███▊      | 808/2134 [21:11<26:06,  1.18s/it]
                                                  

 38%|███▊      | 808/2134 [21:11<26:06,  1.18s/it]
 38%|███▊      | 809/2134 [21:12<24:27,  1.11s/it]
                                                  

 38%|███▊      | 809/2134 [21:12<24:27,  1.11s/it]
 38%|███▊      | 810/2134 [21:13<23:18,  1.06s/it]
                                                  

 38%|███▊      | 810/2134 [21:13<23:18,  1.06s/it]
 38%|███▊      | 811/2134 [21:14<22:30,  1.02s/it]
                                                  

 38%|███▊      | 811/2134 [21:14<22:30,  1.02s/it]
 38%|███▊      | 812/2134 [21:15<21:52,  1.01it/s]
                                                  

 38%|███▊      | 812/2134 [21:15<21:52,  1.01it/s]
 38%|███▊      | 813/2134 [21:15<21:28,  1.03it/s]
                                                  

 38%|███▊      | 813/2134 [21:15<21:28,  1.03it/s]
 38%|███▊      | 814/2134 [21:16<21:11,  1.04it/s]
                                                  

 38%|███▊      | 814/2134 [21:16<21:11,  1.04it/s]
 38%|███▊      | 815/2134 [21:17<20:58,  1.05it/s]
                                                  

 38%|███▊      | 815/2134 [21:17<20:58,  1.05it/s]
 38%|███▊      | 816/2134 [21:18<20:49,  1.05it/s]
                                                  

 38%|███▊      | 816/2134 [21:18<20:49,  1.05it/s]
 38%|███▊      | 817/2134 [21:19<20:41,  1.06it/s]
                                                  

 38%|███▊      | 817/2134 [21:19<20:41,  1.06it/s]
 38%|███▊      | 818/2134 [21:20<20:35,  1.06it/s]
                                                  

 38%|███▊      | 818/2134 [21:20<20:35,  1.06it/s]
 38%|███▊      | 819/2134 [21:22<23:56,  1.09s/it]
                                                  

 38%|███▊      | 819/2134 [21:22<23:56,  1.09s/it]
 38%|███▊      | 820/2134 [21:23<27:27,  1.25s/it]
                                                  

 38%|███▊      | 820/2134 [21:23<27:27,  1.25s/it]
 38%|███▊      | 821/2134 [21:25<29:29,  1.35s/it]
                                                  

 38%|███▊      | 821/2134 [21:25<29:29,  1.35s/it]
 39%|███▊      | 822/2134 [21:26<26:46,  1.22s/it]
                                                  

 39%|███▊      | 822/2134 [21:26<26:46,  1.22s/it]
 39%|███▊      | 823/2134 [21:27<24:55,  1.14s/it]
                                                  

 39%|███▊      | 823/2134 [21:27<24:55,  1.14s/it]
 39%|███▊      | 824/2134 [21:28<23:37,  1.08s/it]
                                                  

 39%|███▊      | 824/2134 [21:28<23:37,  1.08s/it]
 39%|███▊      | 825/2134 [21:42<1:47:51,  4.94s/it]
                                                    

 39%|███▊      | 825/2134 [21:42<1:47:51,  4.94s/it]
 39%|███▊      | 826/2134 [21:43<1:21:58,  3.76s/it]
                                                    

 39%|███▊      | 826/2134 [21:43<1:21:58,  3.76s/it]
 39%|███▉      | 827/2134 [21:43<1:03:29,  2.91s/it]
                                                    

 39%|███▉      | 827/2134 [21:43<1:03:29,  2.91s/it]
 39%|███▉      | 828/2134 [21:44<50:29,  2.32s/it]  
                                                  

 39%|███▉      | 828/2134 [21:44<50:29,  2.32s/it]
 39%|███▉      | 829/2134 [21:45<41:25,  1.90s/it]
                                                  

 39%|███▉      | 829/2134 [21:45<41:25,  1.90s/it]
 39%|███▉      | 830/2134 [21:46<35:00,  1.61s/it]
                                                  

 39%|███▉      | 830/2134 [21:46<35:00,  1.61s/it]
 39%|███▉      | 831/2134 [21:47<30:30,  1.40s/it]
                                                  

 39%|███▉      | 831/2134 [21:47<30:30,  1.40s/it]
 39%|███▉      | 832/2134 [21:48<27:20,  1.26s/it]
                                                  

 39%|███▉      | 832/2134 [21:48<27:20,  1.26s/it]
 39%|███▉      | 833/2134 [21:49<25:07,  1.16s/it]
                                                  

 39%|███▉      | 833/2134 [21:49<25:07,  1.16s/it]
 39%|███▉      | 834/2134 [21:50<23:36,  1.09s/it]
                                                  

 39%|███▉      | 834/2134 [21:50<23:36,  1.09s/it]
 39%|███▉      | 835/2134 [21:51<22:30,  1.04s/it]
                                                  

 39%|███▉      | 835/2134 [21:51<22:30,  1.04s/it]
 39%|███▉      | 836/2134 [21:52<21:51,  1.01s/it]
                                                  

 39%|███▉      | 836/2134 [21:52<21:51,  1.01s/it]
 39%|███▉      | 837/2134 [21:53<21:16,  1.02it/s]
                                                  

 39%|███▉      | 837/2134 [21:53<21:16,  1.02it/s]
 39%|███▉      | 838/2134 [21:54<20:52,  1.03it/s]
                                                  

 39%|███▉      | 838/2134 [21:54<20:52,  1.03it/s]
 39%|███▉      | 839/2134 [21:55<23:56,  1.11s/it]
                                                  

 39%|███▉      | 839/2134 [21:55<23:56,  1.11s/it]
 39%|███▉      | 840/2134 [21:57<28:02,  1.30s/it]
                                                  

 39%|███▉      | 840/2134 [21:57<28:02,  1.30s/it]
 39%|███▉      | 841/2134 [21:58<30:00,  1.39s/it]
                                                  

 39%|███▉      | 841/2134 [21:58<30:00,  1.39s/it]
 39%|███▉      | 842/2134 [21:59<26:59,  1.25s/it]
                                                  

 39%|███▉      | 842/2134 [21:59<26:59,  1.25s/it]
 40%|███▉      | 843/2134 [22:00<24:53,  1.16s/it]
                                                  

 40%|███▉      | 843/2134 [22:00<24:53,  1.16s/it]
 40%|███▉      | 844/2134 [22:01<23:23,  1.09s/it]
                                                  

 40%|███▉      | 844/2134 [22:01<23:23,  1.09s/it]
 40%|███▉      | 845/2134 [22:02<22:22,  1.04s/it]
                                                  

 40%|███▉      | 845/2134 [22:02<22:22,  1.04s/it]
 40%|███▉      | 846/2134 [22:03<21:41,  1.01s/it]
                                                  

 40%|███▉      | 846/2134 [22:03<21:41,  1.01s/it]
 40%|███▉      | 847/2134 [22:04<21:12,  1.01it/s]
                                                  

 40%|███▉      | 847/2134 [22:04<21:12,  1.01it/s]
 40%|███▉      | 848/2134 [22:05<20:53,  1.03it/s]
                                                  

 40%|███▉      | 848/2134 [22:05<20:53,  1.03it/s]
 40%|███▉      | 849/2134 [22:06<20:35,  1.04it/s]
                                                  

 40%|███▉      | 849/2134 [22:06<20:35,  1.04it/s]
 40%|███▉      | 850/2134 [22:20<1:43:02,  4.82s/it]
                                                    

 40%|███▉      | 850/2134 [22:20<1:43:02,  4.82s/it]
 40%|███▉      | 851/2134 [22:21<1:18:05,  3.65s/it]
                                                    

 40%|███▉      | 851/2134 [22:21<1:18:05,  3.65s/it]
 40%|███▉      | 852/2134 [22:22<1:00:33,  2.83s/it]
                                                    

 40%|███▉      | 852/2134 [22:22<1:00:33,  2.83s/it]
 40%|███▉      | 853/2134 [22:23<48:16,  2.26s/it]  
                                                  

 40%|███▉      | 853/2134 [22:23<48:16,  2.26s/it]
 40%|████      | 854/2134 [22:23<39:40,  1.86s/it]
                                                  

 40%|████      | 854/2134 [22:23<39:40,  1.86s/it]
 40%|████      | 855/2134 [22:24<33:38,  1.58s/it]
                                                  

 40%|████      | 855/2134 [22:24<33:38,  1.58s/it]
 40%|████      | 856/2134 [22:25<29:27,  1.38s/it]
                                                  

 40%|████      | 856/2134 [22:25<29:27,  1.38s/it]
 40%|████      | 857/2134 [22:26<26:31,  1.25s/it]
                                                  

 40%|████      | 857/2134 [22:26<26:31,  1.25s/it]
 40%|████      | 858/2134 [22:27<24:52,  1.17s/it]
                                                  
{'loss': 0.2076, 'grad_norm': 0.6233981847763062, 'learning_rate': 0.00013359644795263938, 'epoch': 0.37}
{'loss': 0.2367, 'grad_norm': 0.7632426619529724, 'learning_rate': 0.0001334977799703996, 'epoch': 0.37}
{'loss': 0.2097, 'grad_norm': 0.6663542985916138, 'learning_rate': 0.00013339911198815985, 'epoch': 0.37}
{'loss': 0.2481, 'grad_norm': 0.6590722799301147, 'learning_rate': 0.00013330044400592007, 'epoch': 0.37}
{'loss': 0.1953, 'grad_norm': 0.6224250197410583, 'learning_rate': 0.00013320177602368032, 'epoch': 0.37}
{'loss': 0.141, 'grad_norm': 0.4970318675041199, 'learning_rate': 0.00013310310804144054, 'epoch': 0.37}
{'loss': 0.2136, 'grad_norm': 0.6800572872161865, 'learning_rate': 0.0001330044400592008, 'epoch': 0.37}
{'loss': 0.2133, 'grad_norm': 0.6477895975112915, 'learning_rate': 0.00013290577207696101, 'epoch': 0.37}
{'loss': 0.1658, 'grad_norm': 0.573558509349823, 'learning_rate': 0.0001328071040947213, 'epoch': 0.37}
{'loss': 0.2474, 'grad_norm': 0.8571698069572449, 'learning_rate': 0.0001327084361124815, 'epoch': 0.37}
{'loss': 0.2172, 'grad_norm': 0.7009714245796204, 'learning_rate': 0.00013260976813024176, 'epoch': 0.37}
{'loss': 0.1661, 'grad_norm': 0.5942497849464417, 'learning_rate': 0.00013251110014800198, 'epoch': 0.37}
{'loss': 0.1739, 'grad_norm': 0.5450195074081421, 'learning_rate': 0.00013241243216576223, 'epoch': 0.37}
{'loss': 0.2255, 'grad_norm': 0.7032620310783386, 'learning_rate': 0.00013231376418352246, 'epoch': 0.37}
{'loss': 0.217, 'grad_norm': 0.7929872870445251, 'learning_rate': 0.0001322150962012827, 'epoch': 0.37}
{'loss': 0.2109, 'grad_norm': 0.6705794334411621, 'learning_rate': 0.00013211642821904293, 'epoch': 0.37}
{'loss': 0.2622, 'grad_norm': 0.8857354521751404, 'learning_rate': 0.00013201776023680318, 'epoch': 0.37}
{'loss': 0.1553, 'grad_norm': 0.4819169044494629, 'learning_rate': 0.0001319190922545634, 'epoch': 0.37}
{'loss': 0.2228, 'grad_norm': 0.6813998818397522, 'learning_rate': 0.00013182042427232365, 'epoch': 0.37}
{'loss': 0.2918, 'grad_norm': 0.8059771656990051, 'learning_rate': 0.00013172175629008387, 'epoch': 0.37}
{'loss': 0.2321, 'grad_norm': 0.6998559832572937, 'learning_rate': 0.00013162308830784412, 'epoch': 0.38}
{'loss': 0.1618, 'grad_norm': 0.48366326093673706, 'learning_rate': 0.00013152442032560434, 'epoch': 0.38}
{'loss': 0.2257, 'grad_norm': 0.6689754128456116, 'learning_rate': 0.0001314257523433646, 'epoch': 0.38}
{'loss': 0.1396, 'grad_norm': 0.48056739568710327, 'learning_rate': 0.00013132708436112481, 'epoch': 0.38}
{'loss': 0.1693, 'grad_norm': 0.6230111718177795, 'learning_rate': 0.00013122841637888506, 'epoch': 0.38}
{'loss': 0.2108, 'grad_norm': 0.7064477801322937, 'learning_rate': 0.00013112974839664529, 'epoch': 0.38}
{'loss': 0.2447, 'grad_norm': 0.7586516737937927, 'learning_rate': 0.00013103108041440553, 'epoch': 0.38}
{'loss': 0.3327, 'grad_norm': 0.9390418529510498, 'learning_rate': 0.00013093241243216576, 'epoch': 0.38}
{'loss': 0.1709, 'grad_norm': 0.5625154376029968, 'learning_rate': 0.000130833744449926, 'epoch': 0.38}
{'loss': 0.243, 'grad_norm': 0.693756103515625, 'learning_rate': 0.00013073507646768623, 'epoch': 0.38}
{'loss': 0.2023, 'grad_norm': 0.6896718740463257, 'learning_rate': 0.00013063640848544648, 'epoch': 0.38}
{'loss': 0.1966, 'grad_norm': 0.6098780632019043, 'learning_rate': 0.0001305377405032067, 'epoch': 0.38}
{'loss': 0.2194, 'grad_norm': 0.7091335654258728, 'learning_rate': 0.00013043907252096695, 'epoch': 0.38}
{'loss': 0.2774, 'grad_norm': 0.8639740347862244, 'learning_rate': 0.00013034040453872717, 'epoch': 0.38}
{'loss': 0.1725, 'grad_norm': 0.6061407923698425, 'learning_rate': 0.00013024173655648745, 'epoch': 0.38}
{'loss': 0.2273, 'grad_norm': 0.7471344470977783, 'learning_rate': 0.00013014306857424767, 'epoch': 0.38}
{'loss': 0.1578, 'grad_norm': 0.5774521231651306, 'learning_rate': 0.00013004440059200792, 'epoch': 0.38}
{'loss': 0.1988, 'grad_norm': 0.6520605087280273, 'learning_rate': 0.00012994573260976814, 'epoch': 0.38}
{'loss': 0.2233, 'grad_norm': 0.7054240107536316, 'learning_rate': 0.0001298470646275284, 'epoch': 0.38}
{'loss': 0.1699, 'grad_norm': 0.5907728672027588, 'learning_rate': 0.00012974839664528861, 'epoch': 0.38}
{'loss': 0.2222, 'grad_norm': 0.7687299251556396, 'learning_rate': 0.00012964972866304886, 'epoch': 0.38}
{'loss': 0.2118, 'grad_norm': 0.708797812461853, 'learning_rate': 0.00012955106068080909, 'epoch': 0.39}
{'loss': 0.2059, 'grad_norm': 0.6912155151367188, 'learning_rate': 0.00012945239269856933, 'epoch': 0.39}
{'loss': 0.1787, 'grad_norm': 0.660142719745636, 'learning_rate': 0.00012935372471632956, 'epoch': 0.39}
{'loss': 0.248, 'grad_norm': 0.8411213159561157, 'learning_rate': 0.0001292550567340898, 'epoch': 0.39}
{'loss': 0.2175, 'grad_norm': 0.770463228225708, 'learning_rate': 0.00012915638875185003, 'epoch': 0.39}
{'loss': 0.1771, 'grad_norm': 0.6736109256744385, 'learning_rate': 0.00012905772076961028, 'epoch': 0.39}
{'loss': 0.2331, 'grad_norm': 0.7370778322219849, 'learning_rate': 0.0001289590527873705, 'epoch': 0.39}
{'loss': 0.253, 'grad_norm': 0.8418009281158447, 'learning_rate': 0.00012886038480513075, 'epoch': 0.39}
{'loss': 0.1852, 'grad_norm': 0.5954365730285645, 'learning_rate': 0.00012876171682289097, 'epoch': 0.39}
{'loss': 0.178, 'grad_norm': 0.6246556043624878, 'learning_rate': 0.00012866304884065122, 'epoch': 0.39}
{'loss': 0.1667, 'grad_norm': 0.572812557220459, 'learning_rate': 0.00012856438085841144, 'epoch': 0.39}
{'loss': 0.1588, 'grad_norm': 0.5631489753723145, 'learning_rate': 0.0001284657128761717, 'epoch': 0.39}
{'loss': 0.1804, 'grad_norm': 0.6351548433303833, 'learning_rate': 0.00012836704489393191, 'epoch': 0.39}
{'loss': 0.1924, 'grad_norm': 0.6653633117675781, 'learning_rate': 0.00012826837691169216, 'epoch': 0.39}
{'loss': 0.1999, 'grad_norm': 0.637939453125, 'learning_rate': 0.00012816970892945239, 'epoch': 0.39}
{'loss': 0.212, 'grad_norm': 0.7425504326820374, 'learning_rate': 0.00012807104094721264, 'epoch': 0.39}
{'loss': 0.174, 'grad_norm': 0.6315768361091614, 'learning_rate': 0.00012797237296497286, 'epoch': 0.39}
{'loss': 0.1436, 'grad_norm': 0.7174718379974365, 'learning_rate': 0.0001278737049827331, 'epoch': 0.39}
{'loss': 0.1857, 'grad_norm': 0.6836550831794739, 'learning_rate': 0.00012777503700049333, 'epoch': 0.39}
{'loss': 0.1426, 'grad_norm': 0.5329800844192505, 'learning_rate': 0.00012767636901825358, 'epoch': 0.39}
{'loss': 0.1307, 'grad_norm': 0.5903394818305969, 'learning_rate': 0.00012757770103601383, 'epoch': 0.39}
{'loss': 0.2141, 'grad_norm': 0.6841095089912415, 'learning_rate': 0.00012747903305377408, 'epoch': 0.4}
{'loss': 0.2057, 'grad_norm': 0.7343723773956299, 'learning_rate': 0.0001273803650715343, 'epoch': 0.4}
{'loss': 0.152, 'grad_norm': 0.5796844363212585, 'learning_rate': 0.00012728169708929455, 'epoch': 0.4}
{'loss': 0.1615, 'grad_norm': 0.6162500381469727, 'learning_rate': 0.00012718302910705477, 'epoch': 0.4}
{'loss': 0.1714, 'grad_norm': 0.65006023645401, 'learning_rate': 0.00012708436112481502, 'epoch': 0.4}
{'loss': 0.2414, 'grad_norm': 0.7475670576095581, 'learning_rate': 0.00012698569314257524, 'epoch': 0.4}
{'loss': 0.1903, 'grad_norm': 0.6332153081893921, 'learning_rate': 0.0001268870251603355, 'epoch': 0.4}
{'loss': 0.2001, 'grad_norm': 0.6462780833244324, 'learning_rate': 0.00012678835717809571, 'epoch': 0.4}
{'loss': 0.1639, 'grad_norm': 0.6049503684043884, 'learning_rate': 0.00012668968919585596, 'epoch': 0.4}
{'loss': 0.2087, 'grad_norm': 0.6349954009056091, 'learning_rate': 0.00012659102121361619, 'epoch': 0.4}
{'loss': 0.1664, 'grad_norm': 0.5700047612190247, 'learning_rate': 0.00012649235323137643, 'epoch': 0.4}
{'loss': 0.1642, 'grad_norm': 0.5762708187103271, 'learning_rate': 0.00012639368524913666, 'epoch': 0.4}
{'loss': 0.195, 'grad_norm': 0.6572365164756775, 'learning_rate': 0.0001262950172668969, 'epoch': 0.4}
{'loss': 0.2095, 'grad_norm': 0.6756327152252197, 'learning_rate': 0.00012619634928465713, 'epoch': 0.4}
{'loss': 0.1505, 'grad_norm': 0.5659264326095581, 'learning_rate': 0.00012609768130241738, 'epoch': 0.4}
{'loss': 0.2068, 'grad_norm': 0.7466428875923157, 'learning_rate': 0.0001259990133201776, 'epoch': 0.4}
 40%|████      | 858/2134 [22:27<24:52,  1.17s/it]
 40%|████      | 859/2134 [22:29<27:30,  1.29s/it]
                                                  

 40%|████      | 859/2134 [22:29<27:30,  1.29s/it]
 40%|████      | 860/2134 [22:30<29:25,  1.39s/it]
                                                  

 40%|████      | 860/2134 [22:30<29:25,  1.39s/it]
 40%|████      | 861/2134 [22:32<30:05,  1.42s/it]
                                                  

 40%|████      | 861/2134 [22:32<30:05,  1.42s/it]
 40%|████      | 862/2134 [22:33<26:57,  1.27s/it]
                                                  

 40%|████      | 862/2134 [22:33<26:57,  1.27s/it]
 40%|████      | 863/2134 [22:34<24:48,  1.17s/it]
                                                  

 40%|████      | 863/2134 [22:34<24:48,  1.17s/it]
 40%|████      | 864/2134 [22:35<23:17,  1.10s/it]
                                                  

 40%|████      | 864/2134 [22:35<23:17,  1.10s/it]
 41%|████      | 865/2134 [22:36<22:15,  1.05s/it]
                                                  

 41%|████      | 865/2134 [22:36<22:15,  1.05s/it]
 41%|████      | 866/2134 [22:37<21:26,  1.01s/it]
                                                  

 41%|████      | 866/2134 [22:37<21:26,  1.01s/it]
 41%|████      | 867/2134 [22:38<20:57,  1.01it/s]
                                                  

 41%|████      | 867/2134 [22:38<20:57,  1.01it/s]
 41%|████      | 868/2134 [22:38<20:30,  1.03it/s]
                                                  

 41%|████      | 868/2134 [22:38<20:30,  1.03it/s]
 41%|████      | 869/2134 [22:39<20:15,  1.04it/s]
                                                  

 41%|████      | 869/2134 [22:39<20:15,  1.04it/s]
 41%|████      | 870/2134 [22:40<19:59,  1.05it/s]
                                                  

 41%|████      | 870/2134 [22:40<19:59,  1.05it/s]
 41%|████      | 871/2134 [22:41<19:50,  1.06it/s]
                                                  

 41%|████      | 871/2134 [22:41<19:50,  1.06it/s]
 41%|████      | 872/2134 [22:42<19:44,  1.07it/s]
                                                  

 41%|████      | 872/2134 [22:42<19:44,  1.07it/s]
 41%|████      | 873/2134 [22:43<19:36,  1.07it/s]
                                                  

 41%|████      | 873/2134 [22:43<19:36,  1.07it/s]
 41%|████      | 874/2134 [22:44<19:32,  1.07it/s]
                                                  

 41%|████      | 874/2134 [22:44<19:32,  1.07it/s]
 41%|████      | 875/2134 [22:57<1:38:23,  4.69s/it]
                                                    

 41%|████      | 875/2134 [22:57<1:38:23,  4.69s/it]
 41%|████      | 876/2134 [22:58<1:14:39,  3.56s/it]
                                                    

 41%|████      | 876/2134 [22:58<1:14:39,  3.56s/it]
 41%|████      | 877/2134 [22:59<58:01,  2.77s/it]  
                                                  

 41%|████      | 877/2134 [22:59<58:01,  2.77s/it]
 41%|████      | 878/2134 [23:00<46:21,  2.21s/it]
                                                  

 41%|████      | 878/2134 [23:00<46:21,  2.21s/it]
 41%|████      | 879/2134 [23:01<38:12,  1.83s/it]
                                                  

 41%|████      | 879/2134 [23:01<38:12,  1.83s/it]
 41%|████      | 880/2134 [23:02<32:31,  1.56s/it]
                                                  

 41%|████      | 880/2134 [23:02<32:31,  1.56s/it]
 41%|████▏     | 881/2134 [23:03<28:34,  1.37s/it]
                                                  

 41%|████▏     | 881/2134 [23:03<28:34,  1.37s/it]
 41%|████▏     | 882/2134 [23:04<25:53,  1.24s/it]
                                                  

 41%|████▏     | 882/2134 [23:04<25:53,  1.24s/it]
 41%|████▏     | 883/2134 [23:05<26:50,  1.29s/it]
                                                  

 41%|████▏     | 883/2134 [23:05<26:50,  1.29s/it]
 41%|████▏     | 884/2134 [23:07<28:06,  1.35s/it]
                                                  

 41%|████▏     | 884/2134 [23:07<28:06,  1.35s/it]
 41%|████▏     | 885/2134 [23:08<29:48,  1.43s/it]
                                                  

 41%|████▏     | 885/2134 [23:08<29:48,  1.43s/it]
 42%|████▏     | 886/2134 [23:09<26:46,  1.29s/it]
                                                  

 42%|████▏     | 886/2134 [23:09<26:46,  1.29s/it]
 42%|████▏     | 887/2134 [23:10<24:29,  1.18s/it]
                                                  

 42%|████▏     | 887/2134 [23:10<24:29,  1.18s/it]
 42%|████▏     | 888/2134 [23:11<22:54,  1.10s/it]
                                                  

 42%|████▏     | 888/2134 [23:11<22:54,  1.10s/it]
 42%|████▏     | 889/2134 [23:12<21:49,  1.05s/it]
                                                  

 42%|████▏     | 889/2134 [23:12<21:49,  1.05s/it]
 42%|████▏     | 890/2134 [23:13<21:03,  1.02s/it]
                                                  

 42%|████▏     | 890/2134 [23:13<21:03,  1.02s/it]
 42%|████▏     | 891/2134 [23:14<20:30,  1.01it/s]
                                                  

 42%|████▏     | 891/2134 [23:14<20:30,  1.01it/s]
 42%|████▏     | 892/2134 [23:15<20:05,  1.03it/s]
                                                  

 42%|████▏     | 892/2134 [23:15<20:05,  1.03it/s]
 42%|████▏     | 893/2134 [23:16<19:49,  1.04it/s]
                                                  

 42%|████▏     | 893/2134 [23:16<19:49,  1.04it/s]
 42%|████▏     | 894/2134 [23:17<19:35,  1.05it/s]
                                                  

 42%|████▏     | 894/2134 [23:17<19:35,  1.05it/s]
 42%|████▏     | 895/2134 [23:18<19:27,  1.06it/s]
                                                  

 42%|████▏     | 895/2134 [23:18<19:27,  1.06it/s]
 42%|████▏     | 896/2134 [23:19<19:19,  1.07it/s]
                                                  

 42%|████▏     | 896/2134 [23:19<19:19,  1.07it/s]
 42%|████▏     | 897/2134 [23:20<19:14,  1.07it/s]
                                                  

 42%|████▏     | 897/2134 [23:20<19:14,  1.07it/s]
 42%|████▏     | 898/2134 [23:21<19:16,  1.07it/s]
                                                  

 42%|████▏     | 898/2134 [23:21<19:16,  1.07it/s]
 42%|████▏     | 899/2134 [23:21<19:11,  1.07it/s]
                                                  

 42%|████▏     | 899/2134 [23:21<19:11,  1.07it/s]
 42%|████▏     | 900/2134 [23:35<1:36:34,  4.70s/it]
                                                    

 42%|████▏     | 900/2134 [23:35<1:36:34,  4.70s/it]
 42%|████▏     | 901/2134 [23:36<1:13:21,  3.57s/it]
                                                    

 42%|████▏     | 901/2134 [23:36<1:13:21,  3.57s/it]
 42%|████▏     | 902/2134 [23:37<56:59,  2.78s/it]  
                                                  

 42%|████▏     | 902/2134 [23:37<56:59,  2.78s/it]
 42%|████▏     | 903/2134 [23:38<47:49,  2.33s/it]
                                                  

 42%|████▏     | 903/2134 [23:38<47:49,  2.33s/it]
 42%|████▏     | 904/2134 [23:40<43:09,  2.11s/it]
                                                  

 42%|████▏     | 904/2134 [23:40<43:09,  2.11s/it]
 42%|████▏     | 905/2134 [23:41<38:11,  1.86s/it]
                                                  

 42%|████▏     | 905/2134 [23:41<38:11,  1.86s/it]
 42%|████▏     | 906/2134 [23:42<34:30,  1.69s/it]
                                                  

 42%|████▏     | 906/2134 [23:42<34:30,  1.69s/it]
 43%|████▎     | 907/2134 [23:43<29:51,  1.46s/it]
                                                  

 43%|████▎     | 907/2134 [23:43<29:51,  1.46s/it]
 43%|████▎     | 908/2134 [23:44<26:31,  1.30s/it]
                                                  

 43%|████▎     | 908/2134 [23:44<26:31,  1.30s/it]
 43%|████▎     | 909/2134 [23:45<24:13,  1.19s/it]
                                                  

 43%|████▎     | 909/2134 [23:45<24:13,  1.19s/it]
 43%|████▎     | 910/2134 [23:46<22:43,  1.11s/it]
                                                  

 43%|████▎     | 910/2134 [23:46<22:43,  1.11s/it]
 43%|████▎     | 911/2134 [23:47<21:37,  1.06s/it]
                                                  

 43%|████▎     | 911/2134 [23:47<21:37,  1.06s/it]
 43%|████▎     | 912/2134 [23:48<20:52,  1.02s/it]
                                                  

 43%|████▎     | 912/2134 [23:48<20:52,  1.02s/it]
 43%|████▎     | 913/2134 [23:49<20:17,  1.00it/s]
                                                  

 43%|████▎     | 913/2134 [23:49<20:17,  1.00it/s]
 43%|████▎     | 914/2134 [23:50<19:51,  1.02it/s]
                                                  

 43%|████▎     | 914/2134 [23:50<19:51,  1.02it/s]
 43%|████▎     | 915/2134 [23:51<19:35,  1.04it/s]
                                                  

 43%|████▎     | 915/2134 [23:51<19:35,  1.04it/s]
 43%|████▎     | 916/2134 [23:52<19:25,  1.05it/s]
                                                  

 43%|████▎     | 916/2134 [23:52<19:25,  1.05it/s]
 43%|████▎     | 917/2134 [23:53<19:15,  1.05it/s]
                                                  

 43%|████▎     | 917/2134 [23:53<19:15,  1.05it/s]
 43%|████▎     | 918/2134 [23:53<19:07,  1.06it/s]
                                                  

 43%|████▎     | 918/2134 [23:53<19:07,  1.06it/s]
 43%|████▎     | 919/2134 [23:54<18:59,  1.07it/s]
                                                  

 43%|████▎     | 919/2134 [23:54<18:59,  1.07it/s]
 43%|████▎     | 920/2134 [23:55<18:54,  1.07it/s]
                                                  

 43%|████▎     | 920/2134 [23:55<18:54,  1.07it/s]
 43%|████▎     | 921/2134 [23:56<18:50,  1.07it/s]
                                                  

 43%|████▎     | 921/2134 [23:56<18:50,  1.07it/s]
 43%|████▎     | 922/2134 [23:57<18:50,  1.07it/s]
                                                  

 43%|████▎     | 922/2134 [23:57<18:50,  1.07it/s]
 43%|████▎     | 923/2134 [23:58<18:53,  1.07it/s]
                                                  

 43%|████▎     | 923/2134 [23:58<18:53,  1.07it/s]
 43%|████▎     | 924/2134 [23:59<18:53,  1.07it/s]
                                                  

 43%|████▎     | 924/2134 [23:59<18:53,  1.07it/s]
 43%|████▎     | 925/2134 [24:14<1:44:17,  5.18s/it]
                                                    

 43%|████▎     | 925/2134 [24:14<1:44:17,  5.18s/it]
 43%|████▎     | 926/2134 [24:15<1:20:24,  3.99s/it]
                                                    

 43%|████▎     | 926/2134 [24:15<1:20:24,  3.99s/it]
 43%|████▎     | 927/2134 [24:16<1:02:05,  3.09s/it]
                                                    

 43%|████▎     | 927/2134 [24:16<1:02:05,  3.09s/it]
 43%|████▎     | 928/2134 [24:17<49:21,  2.46s/it]  
                                                  

 43%|████▎     | 928/2134 [24:17<49:21,  2.46s/it]
 44%|████▎     | 929/2134 [24:18<40:17,  2.01s/it]
                                                  

 44%|████▎     | 929/2134 [24:18<40:17,  2.01s/it]
 44%|████▎     | 930/2134 [24:19<33:51,  1.69s/it]
                                                  

 44%|████▎     | 930/2134 [24:19<33:51,  1.69s/it]
 44%|████▎     | 931/2134 [24:20<29:20,  1.46s/it]
                                                  

 44%|████▎     | 931/2134 [24:20<29:20,  1.46s/it]
 44%|████▎     | 932/2134 [24:21<26:10,  1.31s/it]
                                                  

 44%|████▎     | 932/2134 [24:21<26:10,  1.31s/it]
 44%|████▎     | 933/2134 [24:22<23:59,  1.20s/it]
                                                  

 44%|████▎     | 933/2134 [24:22<23:59,  1.20s/it]
 44%|████▍     | 934/2134 [24:23<22:27,  1.12s/it]
                                                  

 44%|████▍     | 934/2134 [24:23<22:27,  1.12s/it]
 44%|████▍     | 935/2134 [24:24<21:22,  1.07s/it]
                                                  

 44%|████▍     | 935/2134 [24:24<21:22,  1.07s/it]
 44%|████▍     | 936/2134 [24:25<20:37,  1.03s/it]
                                                  
{'loss': 0.1656, 'grad_norm': 0.646105170249939, 'learning_rate': 0.00012590034533793785, 'epoch': 0.4}
{'loss': 0.1498, 'grad_norm': 0.5807125568389893, 'learning_rate': 0.00012580167735569807, 'epoch': 0.4}
{'loss': 0.1561, 'grad_norm': 0.6637853384017944, 'learning_rate': 0.00012570300937345832, 'epoch': 0.4}
{'loss': 0.2464, 'grad_norm': 0.93660968542099, 'learning_rate': 0.00012560434139121854, 'epoch': 0.4}
{'loss': 0.3022, 'grad_norm': 0.9809926748275757, 'learning_rate': 0.0001255056734089788, 'epoch': 0.4}
{'loss': 0.1976, 'grad_norm': 0.6578585505485535, 'learning_rate': 0.00012540700542673901, 'epoch': 0.4}
{'loss': 0.1346, 'grad_norm': 0.530485987663269, 'learning_rate': 0.00012530833744449926, 'epoch': 0.41}
{'loss': 0.3296, 'grad_norm': 0.9922531247138977, 'learning_rate': 0.00012520966946225949, 'epoch': 0.41}
{'loss': 0.216, 'grad_norm': 0.6592401266098022, 'learning_rate': 0.00012511100148001974, 'epoch': 0.41}
{'loss': 0.1806, 'grad_norm': 0.6546511650085449, 'learning_rate': 0.00012501233349777996, 'epoch': 0.41}
{'loss': 0.1391, 'grad_norm': 0.4779229164123535, 'learning_rate': 0.00012491366551554023, 'epoch': 0.41}
{'loss': 0.1366, 'grad_norm': 0.48754382133483887, 'learning_rate': 0.00012481499753330046, 'epoch': 0.41}
{'loss': 0.218, 'grad_norm': 0.6949225068092346, 'learning_rate': 0.0001247163295510607, 'epoch': 0.41}
{'loss': 0.1843, 'grad_norm': 0.6151250004768372, 'learning_rate': 0.00012461766156882093, 'epoch': 0.41}
{'loss': 0.1849, 'grad_norm': 0.6215723752975464, 'learning_rate': 0.00012451899358658118, 'epoch': 0.41}
{'loss': 0.1487, 'grad_norm': 0.5122477412223816, 'learning_rate': 0.0001244203256043414, 'epoch': 0.41}
{'loss': 0.1493, 'grad_norm': 0.5777423977851868, 'learning_rate': 0.00012432165762210165, 'epoch': 0.41}
{'loss': 0.1905, 'grad_norm': 0.7431051135063171, 'learning_rate': 0.00012422298963986187, 'epoch': 0.41}
{'loss': 0.2054, 'grad_norm': 0.7620771527290344, 'learning_rate': 0.00012412432165762212, 'epoch': 0.41}
{'loss': 0.1846, 'grad_norm': 0.6883710026741028, 'learning_rate': 0.00012402565367538234, 'epoch': 0.41}
{'loss': 0.1595, 'grad_norm': 0.6837892532348633, 'learning_rate': 0.0001239269856931426, 'epoch': 0.41}
{'loss': 0.1382, 'grad_norm': 0.5247149467468262, 'learning_rate': 0.00012382831771090281, 'epoch': 0.41}
{'loss': 0.2016, 'grad_norm': 0.7423008680343628, 'learning_rate': 0.00012372964972866306, 'epoch': 0.41}
{'loss': 0.18, 'grad_norm': 0.639494776725769, 'learning_rate': 0.00012363098174642329, 'epoch': 0.41}
{'loss': 0.1754, 'grad_norm': 0.6151626110076904, 'learning_rate': 0.00012353231376418354, 'epoch': 0.41}
{'loss': 0.1824, 'grad_norm': 0.6468430757522583, 'learning_rate': 0.00012343364578194376, 'epoch': 0.41}
{'loss': 0.1555, 'grad_norm': 0.5687108039855957, 'learning_rate': 0.000123334977799704, 'epoch': 0.41}
{'loss': 0.1849, 'grad_norm': 0.7859692573547363, 'learning_rate': 0.00012323630981746423, 'epoch': 0.42}
{'loss': 0.1862, 'grad_norm': 0.6391229033470154, 'learning_rate': 0.00012313764183522448, 'epoch': 0.42}
{'loss': 0.2165, 'grad_norm': 0.7167763113975525, 'learning_rate': 0.0001230389738529847, 'epoch': 0.42}
{'loss': 0.1907, 'grad_norm': 0.627013087272644, 'learning_rate': 0.00012294030587074495, 'epoch': 0.42}
{'loss': 0.1373, 'grad_norm': 0.48919662833213806, 'learning_rate': 0.00012284163788850517, 'epoch': 0.42}
{'loss': 0.2107, 'grad_norm': 0.7944693565368652, 'learning_rate': 0.00012274296990626542, 'epoch': 0.42}
{'loss': 0.1965, 'grad_norm': 0.7731603384017944, 'learning_rate': 0.00012264430192402564, 'epoch': 0.42}
{'loss': 0.1808, 'grad_norm': 0.6378920674324036, 'learning_rate': 0.0001225456339417859, 'epoch': 0.42}
{'loss': 0.2711, 'grad_norm': 0.7390468120574951, 'learning_rate': 0.00012244696595954612, 'epoch': 0.42}
{'loss': 0.1569, 'grad_norm': 0.5621475577354431, 'learning_rate': 0.0001223482979773064, 'epoch': 0.42}
{'loss': 0.1432, 'grad_norm': 0.5045639872550964, 'learning_rate': 0.00012224962999506661, 'epoch': 0.42}
{'loss': 0.1814, 'grad_norm': 0.5727748274803162, 'learning_rate': 0.00012215096201282686, 'epoch': 0.42}
{'loss': 0.1417, 'grad_norm': 0.5547037720680237, 'learning_rate': 0.00012205229403058709, 'epoch': 0.42}
{'loss': 0.1902, 'grad_norm': 0.6355341076850891, 'learning_rate': 0.00012195362604834732, 'epoch': 0.42}
{'loss': 0.1901, 'grad_norm': 0.5926152467727661, 'learning_rate': 0.00012185495806610756, 'epoch': 0.42}
{'loss': 0.1601, 'grad_norm': 0.5776641368865967, 'learning_rate': 0.00012175629008386779, 'epoch': 0.42}
{'loss': 0.1858, 'grad_norm': 0.6698439717292786, 'learning_rate': 0.00012165762210162803, 'epoch': 0.42}
{'loss': 0.155, 'grad_norm': 0.7042587995529175, 'learning_rate': 0.00012155895411938826, 'epoch': 0.42}
{'loss': 0.1896, 'grad_norm': 0.7761533260345459, 'learning_rate': 0.0001214602861371485, 'epoch': 0.42}
{'loss': 0.1635, 'grad_norm': 0.6994619369506836, 'learning_rate': 0.00012136161815490874, 'epoch': 0.42}
{'loss': 0.1432, 'grad_norm': 0.645189106464386, 'learning_rate': 0.00012126295017266897, 'epoch': 0.42}
{'loss': 0.1375, 'grad_norm': 0.6112099885940552, 'learning_rate': 0.00012116428219042921, 'epoch': 0.43}
{'loss': 0.2062, 'grad_norm': 0.8104879260063171, 'learning_rate': 0.00012106561420818944, 'epoch': 0.43}
{'loss': 0.1756, 'grad_norm': 0.6384824514389038, 'learning_rate': 0.00012096694622594968, 'epoch': 0.43}
{'loss': 0.2035, 'grad_norm': 0.8352174162864685, 'learning_rate': 0.00012086827824370991, 'epoch': 0.43}
{'loss': 0.1629, 'grad_norm': 0.5904515385627747, 'learning_rate': 0.00012076961026147015, 'epoch': 0.43}
{'loss': 0.268, 'grad_norm': 0.8381810188293457, 'learning_rate': 0.00012067094227923039, 'epoch': 0.43}
{'loss': 0.1522, 'grad_norm': 0.6120692491531372, 'learning_rate': 0.00012057227429699062, 'epoch': 0.43}
{'loss': 0.1917, 'grad_norm': 0.6270771622657776, 'learning_rate': 0.00012047360631475086, 'epoch': 0.43}
{'loss': 0.2222, 'grad_norm': 0.7158952951431274, 'learning_rate': 0.0001203749383325111, 'epoch': 0.43}
{'loss': 0.2151, 'grad_norm': 0.6081568598747253, 'learning_rate': 0.00012027627035027134, 'epoch': 0.43}
{'loss': 0.162, 'grad_norm': 0.6134883165359497, 'learning_rate': 0.00012017760236803158, 'epoch': 0.43}
{'loss': 0.1493, 'grad_norm': 0.5656208395957947, 'learning_rate': 0.00012007893438579181, 'epoch': 0.43}
{'loss': 0.1659, 'grad_norm': 0.5875985026359558, 'learning_rate': 0.00011998026640355205, 'epoch': 0.43}
{'loss': 0.2273, 'grad_norm': 0.7341850399971008, 'learning_rate': 0.00011988159842131229, 'epoch': 0.43}
{'loss': 0.183, 'grad_norm': 0.6495534181594849, 'learning_rate': 0.00011978293043907252, 'epoch': 0.43}
{'loss': 0.1888, 'grad_norm': 0.6984296441078186, 'learning_rate': 0.00011968426245683277, 'epoch': 0.43}
{'loss': 0.1632, 'grad_norm': 0.5394482612609863, 'learning_rate': 0.00011958559447459301, 'epoch': 0.43}
{'loss': 0.1768, 'grad_norm': 0.6279056668281555, 'learning_rate': 0.00011948692649235324, 'epoch': 0.43}
{'loss': 0.2251, 'grad_norm': 0.7289654612541199, 'learning_rate': 0.00011938825851011348, 'epoch': 0.43}
{'loss': 0.1339, 'grad_norm': 0.4983423054218292, 'learning_rate': 0.00011928959052787371, 'epoch': 0.43}
{'loss': 0.1818, 'grad_norm': 0.6945919394493103, 'learning_rate': 0.00011919092254563395, 'epoch': 0.43}
{'loss': 0.1124, 'grad_norm': 0.4318043291568756, 'learning_rate': 0.00011909225456339419, 'epoch': 0.43}
{'loss': 0.1867, 'grad_norm': 0.7619518041610718, 'learning_rate': 0.00011899358658115442, 'epoch': 0.44}
{'loss': 0.1168, 'grad_norm': 0.4561363756656647, 'learning_rate': 0.00011889491859891466, 'epoch': 0.44}
{'loss': 0.24, 'grad_norm': 0.7857696413993835, 'learning_rate': 0.00011879625061667489, 'epoch': 0.44}
{'loss': 0.16, 'grad_norm': 0.6018508076667786, 'learning_rate': 0.00011869758263443513, 'epoch': 0.44}
{'loss': 0.1703, 'grad_norm': 0.6703057885169983, 'learning_rate': 0.00011859891465219536, 'epoch': 0.44}
{'loss': 0.1717, 'grad_norm': 0.6061674356460571, 'learning_rate': 0.0001185002466699556, 'epoch': 0.44}
{'loss': 0.1435, 'grad_norm': 0.6043400764465332, 'learning_rate': 0.00011840157868771584, 'epoch': 0.44}
{'loss': 0.1676, 'grad_norm': 0.6311948299407959, 'learning_rate': 0.00011830291070547607, 'epoch': 0.44}
 44%|████▍     | 936/2134 [24:25<20:37,  1.03s/it]
 44%|████▍     | 937/2134 [24:26<20:06,  1.01s/it]
                                                  

 44%|████▍     | 937/2134 [24:26<20:06,  1.01s/it]
 44%|████▍     | 938/2134 [24:27<19:45,  1.01it/s]
                                                  

 44%|████▍     | 938/2134 [24:27<19:45,  1.01it/s]
 44%|████▍     | 939/2134 [24:28<19:30,  1.02it/s]
                                                  

 44%|████▍     | 939/2134 [24:28<19:30,  1.02it/s]
 44%|████▍     | 940/2134 [24:29<19:19,  1.03it/s]
                                                  

 44%|████▍     | 940/2134 [24:29<19:19,  1.03it/s]
 44%|████▍     | 941/2134 [24:30<19:10,  1.04it/s]
                                                  

 44%|████▍     | 941/2134 [24:30<19:10,  1.04it/s]
 44%|████▍     | 942/2134 [24:31<19:02,  1.04it/s]
                                                  

 44%|████▍     | 942/2134 [24:31<19:02,  1.04it/s]
 44%|████▍     | 943/2134 [24:32<18:57,  1.05it/s]
                                                  

 44%|████▍     | 943/2134 [24:32<18:57,  1.05it/s]
 44%|████▍     | 944/2134 [24:32<18:55,  1.05it/s]
                                                  

 44%|████▍     | 944/2134 [24:32<18:55,  1.05it/s]
 44%|████▍     | 945/2134 [24:33<18:55,  1.05it/s]
                                                  

 44%|████▍     | 945/2134 [24:33<18:55,  1.05it/s]
 44%|████▍     | 946/2134 [24:34<18:56,  1.05it/s]
                                                  

 44%|████▍     | 946/2134 [24:34<18:56,  1.05it/s]
 44%|████▍     | 947/2134 [24:35<18:57,  1.04it/s]
                                                  

 44%|████▍     | 947/2134 [24:35<18:57,  1.04it/s]
 44%|████▍     | 948/2134 [24:36<18:55,  1.04it/s]
                                                  

 44%|████▍     | 948/2134 [24:36<18:55,  1.04it/s]
 44%|████▍     | 949/2134 [24:37<18:55,  1.04it/s]
                                                  

 44%|████▍     | 949/2134 [24:37<18:55,  1.04it/s]
 45%|████▍     | 950/2134 [24:57<2:07:15,  6.45s/it]
                                                    

 45%|████▍     | 950/2134 [24:57<2:07:15,  6.45s/it]
 45%|████▍     | 951/2134 [24:57<1:34:34,  4.80s/it]
                                                    

 45%|████▍     | 951/2134 [24:57<1:34:34,  4.80s/it]
 45%|████▍     | 952/2134 [24:58<1:11:38,  3.64s/it]
                                                    

 45%|████▍     | 952/2134 [24:58<1:11:38,  3.64s/it]
 45%|████▍     | 953/2134 [24:59<55:33,  2.82s/it]  
                                                  

 45%|████▍     | 953/2134 [24:59<55:33,  2.82s/it]
 45%|████▍     | 954/2134 [25:00<44:18,  2.25s/it]
                                                  

 45%|████▍     | 954/2134 [25:00<44:18,  2.25s/it]
 45%|████▍     | 955/2134 [25:01<36:25,  1.85s/it]
                                                  

 45%|████▍     | 955/2134 [25:01<36:25,  1.85s/it]
 45%|████▍     | 956/2134 [25:02<30:55,  1.58s/it]
                                                  

 45%|████▍     | 956/2134 [25:02<30:55,  1.58s/it]
 45%|████▍     | 957/2134 [25:03<27:04,  1.38s/it]
                                                  

 45%|████▍     | 957/2134 [25:03<27:04,  1.38s/it]
 45%|████▍     | 958/2134 [25:04<24:22,  1.24s/it]
                                                  

 45%|████▍     | 958/2134 [25:04<24:22,  1.24s/it]
 45%|████▍     | 959/2134 [25:05<22:28,  1.15s/it]
                                                  

 45%|████▍     | 959/2134 [25:05<22:28,  1.15s/it]
 45%|████▍     | 960/2134 [25:06<21:11,  1.08s/it]
                                                  

 45%|████▍     | 960/2134 [25:06<21:11,  1.08s/it]
 45%|████▌     | 961/2134 [25:07<20:18,  1.04s/it]
                                                  

 45%|████▌     | 961/2134 [25:07<20:18,  1.04s/it]
 45%|████▌     | 962/2134 [25:08<19:41,  1.01s/it]
                                                  

 45%|████▌     | 962/2134 [25:08<19:41,  1.01s/it]
 45%|████▌     | 963/2134 [25:09<19:12,  1.02it/s]
                                                  

 45%|████▌     | 963/2134 [25:09<19:12,  1.02it/s]
 45%|████▌     | 964/2134 [25:10<18:49,  1.04it/s]
                                                  

 45%|████▌     | 964/2134 [25:10<18:49,  1.04it/s]
 45%|████▌     | 965/2134 [25:10<18:32,  1.05it/s]
                                                  

 45%|████▌     | 965/2134 [25:10<18:32,  1.05it/s]
 45%|████▌     | 966/2134 [25:11<18:21,  1.06it/s]
                                                  

 45%|████▌     | 966/2134 [25:11<18:21,  1.06it/s]
 45%|████▌     | 967/2134 [25:12<18:14,  1.07it/s]
                                                  

 45%|████▌     | 967/2134 [25:12<18:14,  1.07it/s]
 45%|████▌     | 968/2134 [25:13<18:09,  1.07it/s]
                                                  

 45%|████▌     | 968/2134 [25:13<18:09,  1.07it/s]
 45%|████▌     | 969/2134 [25:14<18:03,  1.07it/s]
                                                  

 45%|████▌     | 969/2134 [25:14<18:03,  1.07it/s]
 45%|████▌     | 970/2134 [25:15<17:59,  1.08it/s]
                                                  

 45%|████▌     | 970/2134 [25:15<17:59,  1.08it/s]
 46%|████▌     | 971/2134 [25:16<17:56,  1.08it/s]
                                                  

 46%|████▌     | 971/2134 [25:16<17:56,  1.08it/s]
 46%|████▌     | 972/2134 [25:17<19:57,  1.03s/it]
                                                  

 46%|████▌     | 972/2134 [25:17<19:57,  1.03s/it]
 46%|████▌     | 973/2134 [25:19<22:10,  1.15s/it]
                                                  

 46%|████▌     | 973/2134 [25:19<22:10,  1.15s/it]
 46%|████▌     | 974/2134 [25:20<25:27,  1.32s/it]
                                                  

 46%|████▌     | 974/2134 [25:20<25:27,  1.32s/it]
 46%|████▌     | 975/2134 [25:34<1:39:11,  5.13s/it]
                                                    

 46%|████▌     | 975/2134 [25:34<1:39:11,  5.13s/it]
 46%|████▌     | 976/2134 [25:35<1:14:48,  3.88s/it]
                                                    

 46%|████▌     | 976/2134 [25:35<1:14:48,  3.88s/it]
 46%|████▌     | 977/2134 [25:36<57:39,  2.99s/it]  
                                                  

 46%|████▌     | 977/2134 [25:36<57:39,  2.99s/it]
 46%|████▌     | 978/2134 [25:37<45:39,  2.37s/it]
                                                  

 46%|████▌     | 978/2134 [25:37<45:39,  2.37s/it]
 46%|████▌     | 979/2134 [25:38<37:19,  1.94s/it]
                                                  

 46%|████▌     | 979/2134 [25:38<37:19,  1.94s/it]
 46%|████▌     | 980/2134 [25:39<31:28,  1.64s/it]
                                                  

 46%|████▌     | 980/2134 [25:39<31:28,  1.64s/it]
 46%|████▌     | 981/2134 [25:40<27:35,  1.44s/it]
                                                  

 46%|████▌     | 981/2134 [25:40<27:35,  1.44s/it]
 46%|████▌     | 982/2134 [25:41<24:47,  1.29s/it]
                                                  

 46%|████▌     | 982/2134 [25:41<24:47,  1.29s/it]
 46%|████▌     | 983/2134 [25:42<22:39,  1.18s/it]
                                                  

 46%|████▌     | 983/2134 [25:42<22:39,  1.18s/it]
 46%|████▌     | 984/2134 [25:43<21:10,  1.10s/it]
                                                  

 46%|████▌     | 984/2134 [25:43<21:10,  1.10s/it]
 46%|████▌     | 985/2134 [25:44<20:07,  1.05s/it]
                                                  

 46%|████▌     | 985/2134 [25:44<20:07,  1.05s/it]
 46%|████▌     | 986/2134 [25:45<19:23,  1.01s/it]
                                                  

 46%|████▌     | 986/2134 [25:45<19:23,  1.01s/it]
 46%|████▋     | 987/2134 [25:46<18:50,  1.01it/s]
                                                  

 46%|████▋     | 987/2134 [25:46<18:50,  1.01it/s]
 46%|████▋     | 988/2134 [25:47<18:27,  1.03it/s]
                                                  

 46%|████▋     | 988/2134 [25:47<18:27,  1.03it/s]
 46%|████▋     | 989/2134 [25:47<18:13,  1.05it/s]
                                                  

 46%|████▋     | 989/2134 [25:47<18:13,  1.05it/s]
 46%|████▋     | 990/2134 [25:48<18:04,  1.05it/s]
                                                  

 46%|████▋     | 990/2134 [25:48<18:04,  1.05it/s]
 46%|████▋     | 991/2134 [25:49<18:18,  1.04it/s]
                                                  

 46%|████▋     | 991/2134 [25:49<18:18,  1.04it/s]
 46%|████▋     | 992/2134 [25:51<20:38,  1.08s/it]
                                                  

 46%|████▋     | 992/2134 [25:51<20:38,  1.08s/it]
 47%|████▋     | 993/2134 [25:52<23:42,  1.25s/it]
                                                  

 47%|████▋     | 993/2134 [25:52<23:42,  1.25s/it]
 47%|████▋     | 994/2134 [25:54<25:06,  1.32s/it]
                                                  

 47%|████▋     | 994/2134 [25:54<25:06,  1.32s/it]
 47%|████▋     | 995/2134 [25:55<22:48,  1.20s/it]
                                                  

 47%|████▋     | 995/2134 [25:55<22:48,  1.20s/it]
 47%|████▋     | 996/2134 [25:56<21:09,  1.12s/it]
                                                  

 47%|████▋     | 996/2134 [25:56<21:09,  1.12s/it]
 47%|████▋     | 997/2134 [25:57<19:59,  1.06s/it]
                                                  

 47%|████▋     | 997/2134 [25:57<19:59,  1.06s/it]
 47%|████▋     | 998/2134 [25:58<19:12,  1.01s/it]
                                                  

 47%|████▋     | 998/2134 [25:58<19:12,  1.01s/it]
 47%|████▋     | 999/2134 [25:59<18:42,  1.01it/s]
                                                  

 47%|████▋     | 999/2134 [25:59<18:42,  1.01it/s]
 47%|████▋     | 1000/2134 [26:12<1:30:27,  4.79s/it]
                                                     

 47%|████▋     | 1000/2134 [26:12<1:30:27,  4.79s/it]
 47%|████▋     | 1001/2134 [26:17<1:30:26,  4.79s/it]
                                                     

 47%|████▋     | 1001/2134 [26:17<1:30:26,  4.79s/it]
 47%|████▋     | 1002/2134 [26:18<1:08:33,  3.63s/it]
                                                     

 47%|████▋     | 1002/2134 [26:18<1:08:33,  3.63s/it]
 47%|████▋     | 1003/2134 [26:19<53:18,  2.83s/it]  
                                                   

 47%|████▋     | 1003/2134 [26:19<53:18,  2.83s/it]
 47%|████▋     | 1004/2134 [26:20<42:32,  2.26s/it]
                                                   

 47%|████▋     | 1004/2134 [26:20<42:32,  2.26s/it]
 47%|████▋     | 1005/2134 [26:21<34:58,  1.86s/it]
                                                   

 47%|████▋     | 1005/2134 [26:21<34:58,  1.86s/it]
 47%|████▋     | 1006/2134 [26:22<29:40,  1.58s/it]
                                                   

 47%|████▋     | 1006/2134 [26:22<29:40,  1.58s/it]
 47%|████▋     | 1007/2134 [26:23<28:02,  1.49s/it]
                                                   

 47%|████▋     | 1007/2134 [26:23<28:02,  1.49s/it]
 47%|████▋     | 1008/2134 [26:24<26:58,  1.44s/it]
                                                   

 47%|████▋     | 1008/2134 [26:24<26:58,  1.44s/it]
 47%|████▋     | 1009/2134 [26:26<26:24,  1.41s/it]
                                                   

 47%|████▋     | 1009/2134 [26:26<26:24,  1.41s/it]
 47%|████▋     | 1010/2134 [26:27<24:50,  1.33s/it]
                                                   

 47%|████▋     | 1010/2134 [26:27<24:50,  1.33s/it]
 47%|████▋     | 1011/2134 [26:28<22:35,  1.21s/it]
                                                   

 47%|████▋     | 1011/2134 [26:28<22:35,  1.21s/it]
 47%|████▋     | 1012/2134 [26:29<21:00,  1.12s/it]
                                                   

 47%|████▋     | 1012/2134 [26:29<21:00,  1.12s/it]
 47%|████▋     | 1013/2134 [26:29<19:54,  1.07s/it]
                                                   

 47%|████▋     | 1013/2134 [26:29<19:54,  1.07s/it]
 48%|████▊     | 1014/2134 [26:30<19:05,  1.02s/it]
                                                   
{'loss': 0.1562, 'grad_norm': 0.6012212634086609, 'learning_rate': 0.00011820424272323631, 'epoch': 0.44}
{'loss': 0.1344, 'grad_norm': 0.5150339603424072, 'learning_rate': 0.00011810557474099654, 'epoch': 0.44}
{'loss': 0.1363, 'grad_norm': 0.48977261781692505, 'learning_rate': 0.00011800690675875678, 'epoch': 0.44}
{'loss': 0.1724, 'grad_norm': 0.6883959174156189, 'learning_rate': 0.00011790823877651702, 'epoch': 0.44}
{'loss': 0.1541, 'grad_norm': 0.6043907403945923, 'learning_rate': 0.00011780957079427725, 'epoch': 0.44}
{'loss': 0.1399, 'grad_norm': 0.6079823970794678, 'learning_rate': 0.0001177109028120375, 'epoch': 0.44}
{'loss': 0.1602, 'grad_norm': 0.602203905582428, 'learning_rate': 0.00011761223482979774, 'epoch': 0.44}
{'loss': 0.1399, 'grad_norm': 0.5433337688446045, 'learning_rate': 0.00011751356684755797, 'epoch': 0.44}
{'loss': 0.1716, 'grad_norm': 0.6134305000305176, 'learning_rate': 0.00011741489886531821, 'epoch': 0.44}
{'loss': 0.1234, 'grad_norm': 0.5509732365608215, 'learning_rate': 0.00011731623088307844, 'epoch': 0.44}
{'loss': 0.1314, 'grad_norm': 0.48596227169036865, 'learning_rate': 0.00011721756290083868, 'epoch': 0.44}
{'loss': 0.1354, 'grad_norm': 0.557694673538208, 'learning_rate': 0.00011711889491859891, 'epoch': 0.44}
{'loss': 0.1422, 'grad_norm': 0.5602808594703674, 'learning_rate': 0.00011702022693635916, 'epoch': 0.44}
{'loss': 0.1915, 'grad_norm': 0.7540176510810852, 'learning_rate': 0.0001169215589541194, 'epoch': 0.45}
{'loss': 0.1435, 'grad_norm': 0.5515348315238953, 'learning_rate': 0.00011682289097187964, 'epoch': 0.45}
{'loss': 0.1789, 'grad_norm': 0.6658092737197876, 'learning_rate': 0.00011672422298963987, 'epoch': 0.45}
{'loss': 0.1362, 'grad_norm': 0.6660673022270203, 'learning_rate': 0.00011662555500740011, 'epoch': 0.45}
{'loss': 0.1678, 'grad_norm': 0.6386129260063171, 'learning_rate': 0.00011652688702516034, 'epoch': 0.45}
{'loss': 0.1437, 'grad_norm': 0.5058333873748779, 'learning_rate': 0.00011642821904292058, 'epoch': 0.45}
{'loss': 0.156, 'grad_norm': 0.5714072585105896, 'learning_rate': 0.00011632955106068081, 'epoch': 0.45}
{'loss': 0.1456, 'grad_norm': 0.5299240946769714, 'learning_rate': 0.00011623088307844105, 'epoch': 0.45}
{'loss': 0.1229, 'grad_norm': 0.5417062044143677, 'learning_rate': 0.00011613221509620129, 'epoch': 0.45}
{'loss': 0.1384, 'grad_norm': 0.521935760974884, 'learning_rate': 0.00011603354711396152, 'epoch': 0.45}
{'loss': 0.1114, 'grad_norm': 0.4468669295310974, 'learning_rate': 0.00011593487913172176, 'epoch': 0.45}
{'loss': 0.1372, 'grad_norm': 0.5146538615226746, 'learning_rate': 0.000115836211149482, 'epoch': 0.45}
{'loss': 0.1093, 'grad_norm': 0.5129820704460144, 'learning_rate': 0.00011573754316724223, 'epoch': 0.45}
{'loss': 0.1066, 'grad_norm': 0.40658992528915405, 'learning_rate': 0.00011563887518500246, 'epoch': 0.45}
{'loss': 0.1553, 'grad_norm': 0.6499704122543335, 'learning_rate': 0.0001155402072027627, 'epoch': 0.45}
{'loss': 0.1217, 'grad_norm': 0.49973857402801514, 'learning_rate': 0.00011544153922052294, 'epoch': 0.45}
{'loss': 0.1292, 'grad_norm': 0.5136805176734924, 'learning_rate': 0.00011534287123828317, 'epoch': 0.45}
{'loss': 0.1927, 'grad_norm': 0.7321838736534119, 'learning_rate': 0.00011524420325604341, 'epoch': 0.45}
{'loss': 0.1714, 'grad_norm': 0.7063465714454651, 'learning_rate': 0.00011514553527380366, 'epoch': 0.45}
{'loss': 0.2188, 'grad_norm': 0.8392248749732971, 'learning_rate': 0.00011504686729156389, 'epoch': 0.45}
{'loss': 0.161, 'grad_norm': 0.6040751934051514, 'learning_rate': 0.00011494819930932413, 'epoch': 0.45}
{'loss': 0.1087, 'grad_norm': 0.4200102388858795, 'learning_rate': 0.00011484953132708436, 'epoch': 0.46}
{'loss': 0.1224, 'grad_norm': 0.46887409687042236, 'learning_rate': 0.0001147508633448446, 'epoch': 0.46}
{'loss': 0.2465, 'grad_norm': 0.9036540389060974, 'learning_rate': 0.00011465219536260484, 'epoch': 0.46}
{'loss': 0.1861, 'grad_norm': 0.715395450592041, 'learning_rate': 0.00011455352738036507, 'epoch': 0.46}
{'loss': 0.1357, 'grad_norm': 0.4767345190048218, 'learning_rate': 0.00011445485939812532, 'epoch': 0.46}
{'loss': 0.1099, 'grad_norm': 0.41005170345306396, 'learning_rate': 0.00011435619141588556, 'epoch': 0.46}
{'loss': 0.1098, 'grad_norm': 0.480374276638031, 'learning_rate': 0.00011425752343364579, 'epoch': 0.46}
{'loss': 0.1398, 'grad_norm': 0.5665760040283203, 'learning_rate': 0.00011415885545140603, 'epoch': 0.46}
{'loss': 0.1892, 'grad_norm': 0.7549135684967041, 'learning_rate': 0.00011406018746916626, 'epoch': 0.46}
{'loss': 0.1659, 'grad_norm': 0.6244702339172363, 'learning_rate': 0.0001139615194869265, 'epoch': 0.46}
{'loss': 0.1507, 'grad_norm': 0.5640903115272522, 'learning_rate': 0.00011386285150468674, 'epoch': 0.46}
{'loss': 0.1975, 'grad_norm': 0.6882208585739136, 'learning_rate': 0.00011376418352244697, 'epoch': 0.46}
{'loss': 0.1426, 'grad_norm': 0.5226135849952698, 'learning_rate': 0.00011366551554020721, 'epoch': 0.46}
{'loss': 0.158, 'grad_norm': 0.5986160039901733, 'learning_rate': 0.00011356684755796744, 'epoch': 0.46}
{'loss': 0.1664, 'grad_norm': 0.5855356454849243, 'learning_rate': 0.00011346817957572768, 'epoch': 0.46}
{'loss': 0.1407, 'grad_norm': 0.5737230181694031, 'learning_rate': 0.00011336951159348791, 'epoch': 0.46}
{'loss': 0.1509, 'grad_norm': 0.5363361835479736, 'learning_rate': 0.00011327084361124815, 'epoch': 0.46}
{'loss': 0.1513, 'grad_norm': 0.6035377979278564, 'learning_rate': 0.00011317217562900839, 'epoch': 0.46}
{'loss': 0.1762, 'grad_norm': 0.6407650709152222, 'learning_rate': 0.00011307350764676862, 'epoch': 0.46}
{'loss': 0.1756, 'grad_norm': 0.6926968693733215, 'learning_rate': 0.00011297483966452886, 'epoch': 0.46}
{'loss': 0.1676, 'grad_norm': 0.6818550825119019, 'learning_rate': 0.0001128761716822891, 'epoch': 0.46}
{'loss': 0.1164, 'grad_norm': 0.5237628817558289, 'learning_rate': 0.00011277750370004933, 'epoch': 0.46}
{'loss': 0.1376, 'grad_norm': 0.5146421790122986, 'learning_rate': 0.00011267883571780958, 'epoch': 0.47}
{'loss': 0.1717, 'grad_norm': 0.628074049949646, 'learning_rate': 0.00011258016773556981, 'epoch': 0.47}
{'loss': 0.1209, 'grad_norm': 0.4792124330997467, 'learning_rate': 0.00011248149975333005, 'epoch': 0.47}
{'loss': 0.1383, 'grad_norm': 0.5537965893745422, 'learning_rate': 0.00011238283177109029, 'epoch': 0.47}
{'loss': 0.1244, 'grad_norm': 0.4903331696987152, 'learning_rate': 0.00011228416378885052, 'epoch': 0.47}
{'loss': 0.1203, 'grad_norm': 0.558413028717041, 'learning_rate': 0.00011218549580661076, 'epoch': 0.47}
{'loss': 0.209, 'grad_norm': 0.7704046368598938, 'learning_rate': 0.000112086827824371, 'epoch': 0.47}
{'loss': 0.134, 'grad_norm': 0.6161091923713684, 'learning_rate': 0.00011198815984213123, 'epoch': 0.47}
{'loss': 0.1879, 'grad_norm': 0.6982430219650269, 'learning_rate': 0.00011188949185989147, 'epoch': 0.47}
{'loss': 0.1228, 'grad_norm': 0.5267353057861328, 'learning_rate': 0.00011179082387765171, 'epoch': 0.47}
{'loss': 0.155, 'grad_norm': 0.7235484719276428, 'learning_rate': 0.00011169215589541195, 'epoch': 0.47}
{'loss': 0.1545, 'grad_norm': 0.5657832622528076, 'learning_rate': 0.00011159348791317219, 'epoch': 0.47}
{'loss': 0.1255, 'grad_norm': 0.5206087827682495, 'learning_rate': 0.00011149481993093242, 'epoch': 0.47}
{'loss': 0.21, 'grad_norm': 0.7392720580101013, 'learning_rate': 0.00011139615194869266, 'epoch': 0.47}
{'loss': 0.1879, 'grad_norm': 0.7861154675483704, 'learning_rate': 0.0001112974839664529, 'epoch': 0.47}
{'loss': 0.1657, 'grad_norm': 0.7095673084259033, 'learning_rate': 0.00011119881598421313, 'epoch': 0.47}
{'loss': 0.1115, 'grad_norm': 0.4657396376132965, 'learning_rate': 0.00011110014800197336, 'epoch': 0.47}
{'loss': 0.1329, 'grad_norm': 0.4472556710243225, 'learning_rate': 0.0001110014800197336, 'epoch': 0.47}
{'loss': 0.1554, 'grad_norm': 0.6425088047981262, 'learning_rate': 0.00011090281203749384, 'epoch': 0.47}
{'loss': 0.1424, 'grad_norm': 0.5163159370422363, 'learning_rate': 0.00011080414405525407, 'epoch': 0.47}
{'loss': 0.1123, 'grad_norm': 0.4308512210845947, 'learning_rate': 0.00011070547607301431, 'epoch': 0.47}
{'loss': 0.1112, 'grad_norm': 0.4514905512332916, 'learning_rate': 0.00011060680809077454, 'epoch': 0.48}
 48%|████▊     | 1014/2134 [26:30<19:05,  1.02s/it]
 48%|████▊     | 1015/2134 [26:31<18:33,  1.01it/s]
                                                   

 48%|████▊     | 1015/2134 [26:31<18:33,  1.01it/s]
 48%|████▊     | 1016/2134 [26:32<18:09,  1.03it/s]
                                                   

 48%|████▊     | 1016/2134 [26:32<18:09,  1.03it/s]
 48%|████▊     | 1017/2134 [26:33<17:51,  1.04it/s]
                                                   

 48%|████▊     | 1017/2134 [26:33<17:51,  1.04it/s]
 48%|████▊     | 1018/2134 [26:34<17:40,  1.05it/s]
                                                   

 48%|████▊     | 1018/2134 [26:34<17:40,  1.05it/s]
 48%|████▊     | 1019/2134 [26:35<17:30,  1.06it/s]
                                                   

 48%|████▊     | 1019/2134 [26:35<17:30,  1.06it/s]
 48%|████▊     | 1020/2134 [26:36<17:23,  1.07it/s]
                                                   

 48%|████▊     | 1020/2134 [26:36<17:23,  1.07it/s]
 48%|████▊     | 1021/2134 [26:37<17:18,  1.07it/s]
                                                   

 48%|████▊     | 1021/2134 [26:37<17:18,  1.07it/s]
 48%|████▊     | 1022/2134 [26:38<17:15,  1.07it/s]
                                                   

 48%|████▊     | 1022/2134 [26:38<17:15,  1.07it/s]
 48%|████▊     | 1023/2134 [26:39<17:12,  1.08it/s]
                                                   

 48%|████▊     | 1023/2134 [26:39<17:12,  1.08it/s]
 48%|████▊     | 1024/2134 [26:40<17:10,  1.08it/s]
                                                   

 48%|████▊     | 1024/2134 [26:40<17:10,  1.08it/s]
 48%|████▊     | 1025/2134 [26:54<1:29:10,  4.82s/it]
                                                     

 48%|████▊     | 1025/2134 [26:54<1:29:10,  4.82s/it]
 48%|████▊     | 1026/2134 [26:55<1:09:38,  3.77s/it]
                                                     

 48%|████▊     | 1026/2134 [26:55<1:09:38,  3.77s/it]
 48%|████▊     | 1027/2134 [26:56<56:49,  3.08s/it]  
                                                   

 48%|████▊     | 1027/2134 [26:56<56:49,  3.08s/it]
 48%|████▊     | 1028/2134 [26:58<48:19,  2.62s/it]
                                                   

 48%|████▊     | 1028/2134 [26:58<48:19,  2.62s/it]
 48%|████▊     | 1029/2134 [26:59<38:52,  2.11s/it]
                                                   

 48%|████▊     | 1029/2134 [26:59<38:52,  2.11s/it]
 48%|████▊     | 1030/2134 [27:00<32:16,  1.75s/it]
                                                   

 48%|████▊     | 1030/2134 [27:00<32:16,  1.75s/it]
 48%|████▊     | 1031/2134 [27:01<27:39,  1.50s/it]
                                                   

 48%|████▊     | 1031/2134 [27:01<27:39,  1.50s/it]
 48%|████▊     | 1032/2134 [27:02<24:24,  1.33s/it]
                                                   

 48%|████▊     | 1032/2134 [27:02<24:24,  1.33s/it]
 48%|████▊     | 1033/2134 [27:03<22:06,  1.20s/it]
                                                   

 48%|████▊     | 1033/2134 [27:03<22:06,  1.20s/it]
 48%|████▊     | 1034/2134 [27:03<20:30,  1.12s/it]
                                                   

 48%|████▊     | 1034/2134 [27:03<20:30,  1.12s/it]
 49%|████▊     | 1035/2134 [27:04<19:23,  1.06s/it]
                                                   

 49%|████▊     | 1035/2134 [27:04<19:23,  1.06s/it]
 49%|████▊     | 1036/2134 [27:05<18:35,  1.02s/it]
                                                   

 49%|████▊     | 1036/2134 [27:05<18:35,  1.02s/it]
 49%|████▊     | 1037/2134 [27:06<18:03,  1.01it/s]
                                                   

 49%|████▊     | 1037/2134 [27:06<18:03,  1.01it/s]
 49%|████▊     | 1038/2134 [27:07<17:40,  1.03it/s]
                                                   

 49%|████▊     | 1038/2134 [27:07<17:40,  1.03it/s]
 49%|████▊     | 1039/2134 [27:08<17:24,  1.05it/s]
                                                   

 49%|████▊     | 1039/2134 [27:08<17:24,  1.05it/s]
 49%|████▊     | 1040/2134 [27:09<17:17,  1.05it/s]
                                                   

 49%|████▊     | 1040/2134 [27:09<17:17,  1.05it/s]
 49%|████▉     | 1041/2134 [27:10<17:06,  1.06it/s]
                                                   

 49%|████▉     | 1041/2134 [27:10<17:06,  1.06it/s]
 49%|████▉     | 1042/2134 [27:11<16:59,  1.07it/s]
                                                   

 49%|████▉     | 1042/2134 [27:11<16:59,  1.07it/s]
 49%|████▉     | 1043/2134 [27:12<16:53,  1.08it/s]
                                                   

 49%|████▉     | 1043/2134 [27:12<16:53,  1.08it/s]
 49%|████▉     | 1044/2134 [27:13<16:49,  1.08it/s]
                                                   

 49%|████▉     | 1044/2134 [27:13<16:49,  1.08it/s]
 49%|████▉     | 1045/2134 [27:14<16:44,  1.08it/s]
                                                   

 49%|████▉     | 1045/2134 [27:14<16:44,  1.08it/s]
 49%|████▉     | 1046/2134 [27:14<16:40,  1.09it/s]
                                                   

 49%|████▉     | 1046/2134 [27:14<16:40,  1.09it/s]
 49%|████▉     | 1047/2134 [27:15<16:44,  1.08it/s]
                                                   

 49%|████▉     | 1047/2134 [27:15<16:44,  1.08it/s]
 49%|████▉     | 1048/2134 [27:16<16:40,  1.09it/s]
                                                   

 49%|████▉     | 1048/2134 [27:16<16:40,  1.09it/s]
 49%|████▉     | 1049/2134 [27:17<16:37,  1.09it/s]
                                                   

 49%|████▉     | 1049/2134 [27:17<16:37,  1.09it/s]
 49%|████▉     | 1050/2134 [27:36<1:51:40,  6.18s/it]
                                                     

 49%|████▉     | 1050/2134 [27:36<1:51:40,  6.18s/it]
 49%|████▉     | 1051/2134 [27:37<1:23:05,  4.60s/it]
                                                     

 49%|████▉     | 1051/2134 [27:37<1:23:05,  4.60s/it]
 49%|████▉     | 1052/2134 [27:38<1:03:05,  3.50s/it]
                                                     

 49%|████▉     | 1052/2134 [27:38<1:03:05,  3.50s/it]
 49%|████▉     | 1053/2134 [27:38<49:04,  2.72s/it]  
                                                   

 49%|████▉     | 1053/2134 [27:38<49:04,  2.72s/it]
 49%|████▉     | 1054/2134 [27:39<39:15,  2.18s/it]
                                                   

 49%|████▉     | 1054/2134 [27:39<39:15,  2.18s/it]
 49%|████▉     | 1055/2134 [27:40<32:22,  1.80s/it]
                                                   

 49%|████▉     | 1055/2134 [27:40<32:22,  1.80s/it]
 49%|████▉     | 1056/2134 [27:41<27:33,  1.53s/it]
                                                   

 49%|████▉     | 1056/2134 [27:41<27:33,  1.53s/it]
 50%|████▉     | 1057/2134 [27:42<24:14,  1.35s/it]
                                                   

 50%|████▉     | 1057/2134 [27:42<24:14,  1.35s/it]
 50%|████▉     | 1058/2134 [27:43<21:57,  1.22s/it]
                                                   

 50%|████▉     | 1058/2134 [27:43<21:57,  1.22s/it]
 50%|████▉     | 1059/2134 [27:44<20:22,  1.14s/it]
                                                   

 50%|████▉     | 1059/2134 [27:44<20:22,  1.14s/it]
 50%|████▉     | 1060/2134 [27:45<19:13,  1.07s/it]
                                                   

 50%|████▉     | 1060/2134 [27:45<19:13,  1.07s/it]
 50%|████▉     | 1061/2134 [27:46<18:23,  1.03s/it]
                                                   

 50%|████▉     | 1061/2134 [27:46<18:23,  1.03s/it]
 50%|████▉     | 1062/2134 [27:47<17:49,  1.00it/s]
                                                   

 50%|████▉     | 1062/2134 [27:47<17:49,  1.00it/s]
 50%|████▉     | 1063/2134 [27:48<17:25,  1.02it/s]
                                                   

 50%|████▉     | 1063/2134 [27:48<17:25,  1.02it/s]
 50%|████▉     | 1064/2134 [27:49<17:08,  1.04it/s]
                                                   

 50%|████▉     | 1064/2134 [27:49<17:08,  1.04it/s]
 50%|████▉     | 1065/2134 [27:50<16:57,  1.05it/s]
                                                   

 50%|████▉     | 1065/2134 [27:50<16:57,  1.05it/s]
 50%|████▉     | 1066/2134 [27:50<16:49,  1.06it/s]
                                                   

 50%|████▉     | 1066/2134 [27:50<16:49,  1.06it/s]
 50%|█████     | 1067/2134 [27:51<16:42,  1.06it/s]
                                                   

 50%|█████     | 1067/2134 [27:51<16:42,  1.06it/s]
 50%|█████     | 1068/2134 [27:52<16:38,  1.07it/s]
                                                   

 50%|█████     | 1068/2134 [27:52<16:38,  1.07it/s]
 50%|█████     | 1069/2134 [27:53<16:35,  1.07it/s]
                                                   

 50%|█████     | 1069/2134 [27:53<16:35,  1.07it/s]
 50%|█████     | 1070/2134 [27:54<16:28,  1.08it/s]
                                                   

 50%|█████     | 1070/2134 [27:54<16:28,  1.08it/s]
 50%|█████     | 1071/2134 [27:55<16:22,  1.08it/s]
                                                   

 50%|█████     | 1071/2134 [27:55<16:22,  1.08it/s]
 50%|█████     | 1072/2134 [27:56<16:31,  1.07it/s]
                                                   

 50%|█████     | 1072/2134 [27:56<16:31,  1.07it/s]
 50%|█████     | 1073/2134 [27:57<17:21,  1.02it/s]
                                                   

 50%|█████     | 1073/2134 [27:57<17:21,  1.02it/s]
 50%|█████     | 1074/2134 [27:59<19:46,  1.12s/it]
                                                   

 50%|█████     | 1074/2134 [27:59<19:46,  1.12s/it]
 50%|█████     | 1075/2134 [28:13<1:30:19,  5.12s/it]
                                                     

 50%|█████     | 1075/2134 [28:13<1:30:19,  5.12s/it]
 50%|█████     | 1076/2134 [28:14<1:08:02,  3.86s/it]
                                                     

 50%|█████     | 1076/2134 [28:14<1:08:02,  3.86s/it]
 50%|█████     | 1077/2134 [28:15<52:26,  2.98s/it]  
                                                   

 50%|█████     | 1077/2134 [28:15<52:26,  2.98s/it]
 51%|█████     | 1078/2134 [28:16<41:28,  2.36s/it]
                                                   

 51%|█████     | 1078/2134 [28:16<41:28,  2.36s/it]
 51%|█████     | 1079/2134 [28:17<33:48,  1.92s/it]
                                                   

 51%|█████     | 1079/2134 [28:17<33:48,  1.92s/it]
 51%|█████     | 1080/2134 [28:18<28:26,  1.62s/it]
                                                   

 51%|█████     | 1080/2134 [28:18<28:26,  1.62s/it]
 51%|█████     | 1081/2134 [28:18<24:42,  1.41s/it]
                                                   

 51%|█████     | 1081/2134 [28:18<24:42,  1.41s/it]
 51%|█████     | 1082/2134 [28:19<22:04,  1.26s/it]
                                                   

 51%|█████     | 1082/2134 [28:19<22:04,  1.26s/it]
 51%|█████     | 1083/2134 [28:20<20:15,  1.16s/it]
                                                   

 51%|█████     | 1083/2134 [28:20<20:15,  1.16s/it]
 51%|█████     | 1084/2134 [28:21<18:59,  1.08s/it]
                                                   

 51%|█████     | 1084/2134 [28:21<18:59,  1.08s/it]
 51%|█████     | 1085/2134 [28:22<18:04,  1.03s/it]
                                                   

 51%|█████     | 1085/2134 [28:22<18:04,  1.03s/it]
 51%|█████     | 1086/2134 [28:23<17:25,  1.00it/s]
                                                   

 51%|█████     | 1086/2134 [28:23<17:25,  1.00it/s]
 51%|█████     | 1087/2134 [28:24<16:58,  1.03it/s]
                                                   

 51%|█████     | 1087/2134 [28:24<16:58,  1.03it/s]
 51%|█████     | 1088/2134 [28:25<16:38,  1.05it/s]
                                                   

 51%|█████     | 1088/2134 [28:25<16:38,  1.05it/s]
 51%|█████     | 1089/2134 [28:26<16:24,  1.06it/s]
                                                   

 51%|█████     | 1089/2134 [28:26<16:24,  1.06it/s]
 51%|█████     | 1090/2134 [28:27<17:11,  1.01it/s]
                                                   

 51%|█████     | 1090/2134 [28:27<17:11,  1.01it/s]
 51%|█████     | 1091/2134 [28:28<18:50,  1.08s/it]
                                                   

 51%|█████     | 1091/2134 [28:28<18:50,  1.08s/it]
 51%|█████     | 1092/2134 [28:30<19:54,  1.15s/it]
                                                   
{'loss': 0.1415, 'grad_norm': 0.6312628984451294, 'learning_rate': 0.00011050814010853478, 'epoch': 0.48}
{'loss': 0.1431, 'grad_norm': 0.6046377420425415, 'learning_rate': 0.00011040947212629502, 'epoch': 0.48}
{'loss': 0.1428, 'grad_norm': 0.6044549345970154, 'learning_rate': 0.00011031080414405525, 'epoch': 0.48}
{'loss': 0.0962, 'grad_norm': 0.4503306448459625, 'learning_rate': 0.00011021213616181549, 'epoch': 0.48}
{'loss': 0.1423, 'grad_norm': 0.5484409928321838, 'learning_rate': 0.00011011346817957574, 'epoch': 0.48}
{'loss': 0.1352, 'grad_norm': 0.6180601716041565, 'learning_rate': 0.00011001480019733597, 'epoch': 0.48}
{'loss': 0.1541, 'grad_norm': 0.7375735640525818, 'learning_rate': 0.00010991613221509621, 'epoch': 0.48}
{'loss': 0.1464, 'grad_norm': 0.6469922065734863, 'learning_rate': 0.00010981746423285644, 'epoch': 0.48}
{'loss': 0.1393, 'grad_norm': 0.6129171848297119, 'learning_rate': 0.00010971879625061668, 'epoch': 0.48}
{'loss': 0.1116, 'grad_norm': 0.731131374835968, 'learning_rate': 0.00010962012826837692, 'epoch': 0.48}
{'loss': 0.1428, 'grad_norm': 0.6163057088851929, 'learning_rate': 0.00010952146028613715, 'epoch': 0.48}
{'loss': 0.1346, 'grad_norm': 0.5687240362167358, 'learning_rate': 0.00010942279230389739, 'epoch': 0.48}
{'loss': 0.1615, 'grad_norm': 0.6875863671302795, 'learning_rate': 0.00010932412432165762, 'epoch': 0.48}
{'loss': 0.1396, 'grad_norm': 0.6062374711036682, 'learning_rate': 0.00010922545633941786, 'epoch': 0.48}
{'loss': 0.1459, 'grad_norm': 0.6579347848892212, 'learning_rate': 0.00010912678835717811, 'epoch': 0.48}
{'loss': 0.1465, 'grad_norm': 0.6528353095054626, 'learning_rate': 0.00010902812037493834, 'epoch': 0.48}
{'loss': 0.1537, 'grad_norm': 0.6625406742095947, 'learning_rate': 0.00010892945239269858, 'epoch': 0.48}
{'loss': 0.1045, 'grad_norm': 0.507434606552124, 'learning_rate': 0.00010883078441045881, 'epoch': 0.48}
{'loss': 0.1218, 'grad_norm': 0.4977610111236572, 'learning_rate': 0.00010873211642821905, 'epoch': 0.48}
{'loss': 0.1367, 'grad_norm': 0.535743236541748, 'learning_rate': 0.00010863344844597929, 'epoch': 0.48}
{'loss': 0.0758, 'grad_norm': 0.323008269071579, 'learning_rate': 0.00010853478046373952, 'epoch': 0.49}
{'loss': 0.1167, 'grad_norm': 0.44834062457084656, 'learning_rate': 0.00010843611248149976, 'epoch': 0.49}
{'loss': 0.1673, 'grad_norm': 0.6666154265403748, 'learning_rate': 0.00010833744449926, 'epoch': 0.49}
{'loss': 0.1408, 'grad_norm': 0.6223968267440796, 'learning_rate': 0.00010823877651702023, 'epoch': 0.49}
{'loss': 0.1412, 'grad_norm': 0.6332463026046753, 'learning_rate': 0.00010814010853478047, 'epoch': 0.49}
{'loss': 0.1221, 'grad_norm': 0.4785156846046448, 'learning_rate': 0.0001080414405525407, 'epoch': 0.49}
{'loss': 0.1534, 'grad_norm': 0.5704101920127869, 'learning_rate': 0.00010794277257030094, 'epoch': 0.49}
{'loss': 0.1658, 'grad_norm': 0.6107504963874817, 'learning_rate': 0.00010784410458806117, 'epoch': 0.49}
{'loss': 0.1204, 'grad_norm': 0.5021704435348511, 'learning_rate': 0.00010774543660582141, 'epoch': 0.49}
{'loss': 0.087, 'grad_norm': 0.3974483013153076, 'learning_rate': 0.00010764676862358164, 'epoch': 0.49}
{'loss': 0.1266, 'grad_norm': 0.49156472086906433, 'learning_rate': 0.0001075481006413419, 'epoch': 0.49}
{'loss': 0.124, 'grad_norm': 0.5212429165840149, 'learning_rate': 0.00010744943265910213, 'epoch': 0.49}
{'loss': 0.1078, 'grad_norm': 0.41980668902397156, 'learning_rate': 0.00010735076467686236, 'epoch': 0.49}
{'loss': 0.1494, 'grad_norm': 0.6720612049102783, 'learning_rate': 0.0001072520966946226, 'epoch': 0.49}
{'loss': 0.1599, 'grad_norm': 0.7382433414459229, 'learning_rate': 0.00010715342871238284, 'epoch': 0.49}
{'loss': 0.1184, 'grad_norm': 0.509763240814209, 'learning_rate': 0.00010705476073014307, 'epoch': 0.49}
{'loss': 0.0991, 'grad_norm': 0.4424886107444763, 'learning_rate': 0.00010695609274790331, 'epoch': 0.49}
{'loss': 0.1359, 'grad_norm': 0.5918439626693726, 'learning_rate': 0.00010685742476566354, 'epoch': 0.49}
{'loss': 0.1267, 'grad_norm': 0.6280379891395569, 'learning_rate': 0.00010675875678342378, 'epoch': 0.49}
{'loss': 0.1777, 'grad_norm': 0.7193049192428589, 'learning_rate': 0.00010666008880118402, 'epoch': 0.49}
{'loss': 0.1147, 'grad_norm': 0.5113791823387146, 'learning_rate': 0.00010656142081894426, 'epoch': 0.49}
{'loss': 0.1167, 'grad_norm': 0.48732274770736694, 'learning_rate': 0.0001064627528367045, 'epoch': 0.49}
{'loss': 0.1169, 'grad_norm': 0.46215134859085083, 'learning_rate': 0.00010636408485446474, 'epoch': 0.5}
{'loss': 0.1277, 'grad_norm': 0.5181785225868225, 'learning_rate': 0.00010626541687222497, 'epoch': 0.5}
{'loss': 0.1733, 'grad_norm': 0.6432358026504517, 'learning_rate': 0.00010616674888998521, 'epoch': 0.5}
{'loss': 0.1301, 'grad_norm': 0.5042755007743835, 'learning_rate': 0.00010606808090774544, 'epoch': 0.5}
{'loss': 0.1061, 'grad_norm': 0.5295196175575256, 'learning_rate': 0.00010596941292550568, 'epoch': 0.5}
{'loss': 0.1151, 'grad_norm': 0.5007480978965759, 'learning_rate': 0.00010587074494326592, 'epoch': 0.5}
{'loss': 0.1197, 'grad_norm': 0.42244815826416016, 'learning_rate': 0.00010577207696102615, 'epoch': 0.5}
{'loss': 0.0799, 'grad_norm': 0.37863248586654663, 'learning_rate': 0.00010567340897878639, 'epoch': 0.5}
{'loss': 0.1461, 'grad_norm': 0.5507938861846924, 'learning_rate': 0.00010557474099654662, 'epoch': 0.5}
{'loss': 0.1582, 'grad_norm': 0.5998765230178833, 'learning_rate': 0.00010547607301430686, 'epoch': 0.5}
{'loss': 0.1386, 'grad_norm': 0.5700759291648865, 'learning_rate': 0.0001053774050320671, 'epoch': 0.5}
{'loss': 0.123, 'grad_norm': 0.4673076570034027, 'learning_rate': 0.00010527873704982733, 'epoch': 0.5}
{'loss': 0.1944, 'grad_norm': 0.752898633480072, 'learning_rate': 0.00010518006906758757, 'epoch': 0.5}
{'loss': 0.0906, 'grad_norm': 0.38681405782699585, 'learning_rate': 0.0001050814010853478, 'epoch': 0.5}
{'loss': 0.1092, 'grad_norm': 0.49820676445961, 'learning_rate': 0.00010498273310310805, 'epoch': 0.5}
{'loss': 0.1373, 'grad_norm': 0.5197950601577759, 'learning_rate': 0.00010488406512086829, 'epoch': 0.5}
{'loss': 0.1081, 'grad_norm': 0.4187386631965637, 'learning_rate': 0.00010478539713862852, 'epoch': 0.5}
{'loss': 0.0992, 'grad_norm': 0.4311402142047882, 'learning_rate': 0.00010468672915638876, 'epoch': 0.5}
{'loss': 0.138, 'grad_norm': 0.5717283487319946, 'learning_rate': 0.000104588061174149, 'epoch': 0.5}
{'loss': 0.1146, 'grad_norm': 0.4969165623188019, 'learning_rate': 0.00010448939319190923, 'epoch': 0.5}
{'loss': 0.1944, 'grad_norm': 0.7999122738838196, 'learning_rate': 0.00010439072520966947, 'epoch': 0.5}
{'loss': 0.1421, 'grad_norm': 0.6369140148162842, 'learning_rate': 0.0001042920572274297, 'epoch': 0.51}
{'loss': 0.0956, 'grad_norm': 0.3889993727207184, 'learning_rate': 0.00010419338924518994, 'epoch': 0.51}
{'loss': 0.1179, 'grad_norm': 0.5747076869010925, 'learning_rate': 0.00010409472126295017, 'epoch': 0.51}
{'loss': 0.0866, 'grad_norm': 0.40589091181755066, 'learning_rate': 0.00010399605328071041, 'epoch': 0.51}
{'loss': 0.1364, 'grad_norm': 0.5247600078582764, 'learning_rate': 0.00010389738529847066, 'epoch': 0.51}
{'loss': 0.1478, 'grad_norm': 0.6936299800872803, 'learning_rate': 0.0001037987173162309, 'epoch': 0.51}
{'loss': 0.1433, 'grad_norm': 0.6453261375427246, 'learning_rate': 0.00010370004933399113, 'epoch': 0.51}
{'loss': 0.1293, 'grad_norm': 0.6004869341850281, 'learning_rate': 0.00010360138135175137, 'epoch': 0.51}
{'loss': 0.1601, 'grad_norm': 0.7340933084487915, 'learning_rate': 0.0001035027133695116, 'epoch': 0.51}
{'loss': 0.149, 'grad_norm': 0.6383313536643982, 'learning_rate': 0.00010340404538727184, 'epoch': 0.51}
{'loss': 0.1267, 'grad_norm': 0.5141857862472534, 'learning_rate': 0.00010330537740503207, 'epoch': 0.51}
{'loss': 0.137, 'grad_norm': 0.5209982991218567, 'learning_rate': 0.00010320670942279231, 'epoch': 0.51}
{'loss': 0.1087, 'grad_norm': 0.5443750619888306, 'learning_rate': 0.00010310804144055254, 'epoch': 0.51}
{'loss': 0.1387, 'grad_norm': 0.6074413657188416, 'learning_rate': 0.00010300937345831278, 'epoch': 0.51}
{'loss': 0.1135, 'grad_norm': 0.4976338744163513, 'learning_rate': 0.00010291070547607302, 'epoch': 0.51}
 51%|█████     | 1092/2134 [28:30<19:54,  1.15s/it]
 51%|█████     | 1093/2134 [28:31<20:53,  1.20s/it]
                                                   

 51%|█████     | 1093/2134 [28:31<20:53,  1.20s/it]
 51%|█████▏    | 1094/2134 [28:32<19:31,  1.13s/it]
                                                   

 51%|█████▏    | 1094/2134 [28:32<19:31,  1.13s/it]
 51%|█████▏    | 1095/2134 [28:33<18:33,  1.07s/it]
                                                   

 51%|█████▏    | 1095/2134 [28:33<18:33,  1.07s/it]
 51%|█████▏    | 1096/2134 [28:34<17:52,  1.03s/it]
                                                   

 51%|█████▏    | 1096/2134 [28:34<17:52,  1.03s/it]
 51%|█████▏    | 1097/2134 [28:35<17:21,  1.00s/it]
                                                   

 51%|█████▏    | 1097/2134 [28:35<17:21,  1.00s/it]
 51%|█████▏    | 1098/2134 [28:36<17:00,  1.02it/s]
                                                   

 51%|█████▏    | 1098/2134 [28:36<17:00,  1.02it/s]
 51%|█████▏    | 1099/2134 [28:36<16:43,  1.03it/s]
                                                   

 51%|█████▏    | 1099/2134 [28:36<16:43,  1.03it/s]
 52%|█████▏    | 1100/2134 [28:50<1:21:42,  4.74s/it]
                                                     

 52%|█████▏    | 1100/2134 [28:50<1:21:42,  4.74s/it]
 52%|█████▏    | 1101/2134 [28:51<1:02:00,  3.60s/it]
                                                     

 52%|█████▏    | 1101/2134 [28:51<1:02:00,  3.60s/it]
 52%|█████▏    | 1102/2134 [28:52<48:14,  2.80s/it]  
                                                   

 52%|█████▏    | 1102/2134 [28:52<48:14,  2.80s/it]
 52%|█████▏    | 1103/2134 [28:53<38:32,  2.24s/it]
                                                   

 52%|█████▏    | 1103/2134 [28:53<38:32,  2.24s/it]
 52%|█████▏    | 1104/2134 [28:54<31:44,  1.85s/it]
                                                   

 52%|█████▏    | 1104/2134 [28:54<31:44,  1.85s/it]
 52%|█████▏    | 1105/2134 [28:55<27:01,  1.58s/it]
                                                   

 52%|█████▏    | 1105/2134 [28:55<27:01,  1.58s/it]
 52%|█████▏    | 1106/2134 [28:56<23:38,  1.38s/it]
                                                   

 52%|█████▏    | 1106/2134 [28:56<23:38,  1.38s/it]
 52%|█████▏    | 1107/2134 [28:57<21:18,  1.24s/it]
                                                   

 52%|█████▏    | 1107/2134 [28:57<21:18,  1.24s/it]
 52%|█████▏    | 1108/2134 [28:57<19:40,  1.15s/it]
                                                   

 52%|█████▏    | 1108/2134 [28:57<19:40,  1.15s/it]
 52%|█████▏    | 1109/2134 [28:59<20:34,  1.20s/it]
                                                   

 52%|█████▏    | 1109/2134 [28:59<20:34,  1.20s/it]
 52%|█████▏    | 1110/2134 [29:00<22:57,  1.34s/it]
                                                   

 52%|█████▏    | 1110/2134 [29:00<22:57,  1.34s/it]
 52%|█████▏    | 1111/2134 [29:02<25:18,  1.48s/it]
                                                   

 52%|█████▏    | 1111/2134 [29:02<25:18,  1.48s/it]
 52%|█████▏    | 1112/2134 [29:03<22:40,  1.33s/it]
                                                   

 52%|█████▏    | 1112/2134 [29:03<22:40,  1.33s/it]
 52%|█████▏    | 1113/2134 [29:04<20:35,  1.21s/it]
                                                   

 52%|█████▏    | 1113/2134 [29:04<20:35,  1.21s/it]
 52%|█████▏    | 1114/2134 [29:05<19:07,  1.13s/it]
                                                   

 52%|█████▏    | 1114/2134 [29:05<19:07,  1.13s/it]
 52%|█████▏    | 1115/2134 [29:06<18:13,  1.07s/it]
                                                   

 52%|█████▏    | 1115/2134 [29:06<18:13,  1.07s/it]
 52%|█████▏    | 1116/2134 [29:07<17:29,  1.03s/it]
                                                   

 52%|█████▏    | 1116/2134 [29:07<17:29,  1.03s/it]
 52%|█████▏    | 1117/2134 [29:08<16:59,  1.00s/it]
                                                   

 52%|█████▏    | 1117/2134 [29:08<16:59,  1.00s/it]
 52%|█████▏    | 1118/2134 [29:09<16:37,  1.02it/s]
                                                   

 52%|█████▏    | 1118/2134 [29:09<16:37,  1.02it/s]
 52%|█████▏    | 1119/2134 [29:10<16:23,  1.03it/s]
                                                   

 52%|█████▏    | 1119/2134 [29:10<16:23,  1.03it/s]
 52%|█████▏    | 1120/2134 [29:11<16:10,  1.04it/s]
                                                   

 52%|█████▏    | 1120/2134 [29:11<16:10,  1.04it/s]
 53%|█████▎    | 1121/2134 [29:12<16:02,  1.05it/s]
                                                   

 53%|█████▎    | 1121/2134 [29:12<16:02,  1.05it/s]
 53%|█████▎    | 1122/2134 [29:13<15:55,  1.06it/s]
                                                   

 53%|█████▎    | 1122/2134 [29:13<15:55,  1.06it/s]
 53%|█████▎    | 1123/2134 [29:14<15:50,  1.06it/s]
                                                   

 53%|█████▎    | 1123/2134 [29:14<15:50,  1.06it/s]
 53%|█████▎    | 1124/2134 [29:14<15:46,  1.07it/s]
                                                   

 53%|█████▎    | 1124/2134 [29:14<15:46,  1.07it/s]
 53%|█████▎    | 1125/2134 [29:28<1:19:56,  4.75s/it]
                                                     

 53%|█████▎    | 1125/2134 [29:28<1:19:56,  4.75s/it]
 53%|█████▎    | 1126/2134 [29:29<1:00:37,  3.61s/it]
                                                     

 53%|█████▎    | 1126/2134 [29:29<1:00:37,  3.61s/it]
 53%|█████▎    | 1127/2134 [29:30<47:04,  2.80s/it]  
                                                   

 53%|█████▎    | 1127/2134 [29:30<47:04,  2.80s/it]
 53%|█████▎    | 1128/2134 [29:31<37:34,  2.24s/it]
                                                   

 53%|█████▎    | 1128/2134 [29:31<37:34,  2.24s/it]
 53%|█████▎    | 1129/2134 [29:32<32:45,  1.96s/it]
                                                   

 53%|█████▎    | 1129/2134 [29:32<32:45,  1.96s/it]
 53%|█████▎    | 1130/2134 [29:34<31:05,  1.86s/it]
                                                   

 53%|█████▎    | 1130/2134 [29:34<31:05,  1.86s/it]
 53%|█████▎    | 1131/2134 [29:36<31:11,  1.87s/it]
                                                   

 53%|█████▎    | 1131/2134 [29:36<31:11,  1.87s/it]
 53%|█████▎    | 1132/2134 [29:37<27:16,  1.63s/it]
                                                   

 53%|█████▎    | 1132/2134 [29:37<27:16,  1.63s/it]
 53%|█████▎    | 1133/2134 [29:38<23:42,  1.42s/it]
                                                   

 53%|█████▎    | 1133/2134 [29:38<23:42,  1.42s/it]
 53%|█████▎    | 1134/2134 [29:39<21:11,  1.27s/it]
                                                   

 53%|█████▎    | 1134/2134 [29:39<21:11,  1.27s/it]
 53%|█████▎    | 1135/2134 [29:40<19:24,  1.17s/it]
                                                   

 53%|█████▎    | 1135/2134 [29:40<19:24,  1.17s/it]
 53%|█████▎    | 1136/2134 [29:41<18:09,  1.09s/it]
                                                   

 53%|█████▎    | 1136/2134 [29:41<18:09,  1.09s/it]
 53%|█████▎    | 1137/2134 [29:41<17:22,  1.05s/it]
                                                   

 53%|█████▎    | 1137/2134 [29:41<17:22,  1.05s/it]
 53%|█████▎    | 1138/2134 [29:43<19:06,  1.15s/it]
                                                   

 53%|█████▎    | 1138/2134 [29:43<19:06,  1.15s/it]
 53%|█████▎    | 1139/2134 [29:44<17:59,  1.08s/it]
                                                   

 53%|█████▎    | 1139/2134 [29:44<17:59,  1.08s/it]
 53%|█████▎    | 1140/2134 [29:45<17:10,  1.04s/it]
                                                   

 53%|█████▎    | 1140/2134 [29:45<17:10,  1.04s/it]
 53%|█████▎    | 1141/2134 [29:46<16:37,  1.00s/it]
                                                   

 53%|█████▎    | 1141/2134 [29:46<16:37,  1.00s/it]
 54%|█████▎    | 1142/2134 [29:47<16:14,  1.02it/s]
                                                   

 54%|█████▎    | 1142/2134 [29:47<16:14,  1.02it/s]
 54%|█████▎    | 1143/2134 [29:47<15:58,  1.03it/s]
                                                   

 54%|█████▎    | 1143/2134 [29:47<15:58,  1.03it/s]
 54%|█████▎    | 1144/2134 [29:48<15:48,  1.04it/s]
                                                   

 54%|█████▎    | 1144/2134 [29:48<15:48,  1.04it/s]
 54%|█████▎    | 1145/2134 [29:49<15:40,  1.05it/s]
                                                   

 54%|█████▎    | 1145/2134 [29:49<15:40,  1.05it/s]
 54%|█████▎    | 1146/2134 [29:50<15:32,  1.06it/s]
                                                   

 54%|█████▎    | 1146/2134 [29:50<15:32,  1.06it/s]
 54%|█████▎    | 1147/2134 [29:51<15:26,  1.07it/s]
                                                   

 54%|█████▎    | 1147/2134 [29:51<15:26,  1.07it/s]
 54%|█████▍    | 1148/2134 [29:52<15:21,  1.07it/s]
                                                   

 54%|█████▍    | 1148/2134 [29:52<15:21,  1.07it/s]
 54%|█████▍    | 1149/2134 [29:53<15:18,  1.07it/s]
                                                   

 54%|█████▍    | 1149/2134 [29:53<15:18,  1.07it/s]
 54%|█████▍    | 1150/2134 [30:08<1:23:38,  5.10s/it]
                                                     

 54%|█████▍    | 1150/2134 [30:08<1:23:38,  5.10s/it]
 54%|█████▍    | 1151/2134 [30:10<1:06:33,  4.06s/it]
                                                     

 54%|█████▍    | 1151/2134 [30:10<1:06:33,  4.06s/it]
 54%|█████▍    | 1152/2134 [30:11<51:22,  3.14s/it]  
                                                   

 54%|█████▍    | 1152/2134 [30:11<51:22,  3.14s/it]
 54%|█████▍    | 1153/2134 [30:11<40:28,  2.48s/it]
                                                   

 54%|█████▍    | 1153/2134 [30:11<40:28,  2.48s/it]
 54%|█████▍    | 1154/2134 [30:12<32:52,  2.01s/it]
                                                   

 54%|█████▍    | 1154/2134 [30:12<32:52,  2.01s/it]
 54%|█████▍    | 1155/2134 [30:13<27:32,  1.69s/it]
                                                   

 54%|█████▍    | 1155/2134 [30:13<27:32,  1.69s/it]
 54%|█████▍    | 1156/2134 [30:14<23:49,  1.46s/it]
                                                   

 54%|█████▍    | 1156/2134 [30:14<23:49,  1.46s/it]
 54%|█████▍    | 1157/2134 [30:15<21:13,  1.30s/it]
                                                   

 54%|█████▍    | 1157/2134 [30:15<21:13,  1.30s/it]
 54%|█████▍    | 1158/2134 [30:16<19:22,  1.19s/it]
                                                   

 54%|█████▍    | 1158/2134 [30:16<19:22,  1.19s/it]
 54%|█████▍    | 1159/2134 [30:17<18:06,  1.11s/it]
                                                   

 54%|█████▍    | 1159/2134 [30:17<18:06,  1.11s/it]
 54%|█████▍    | 1160/2134 [30:18<17:11,  1.06s/it]
                                                   

 54%|█████▍    | 1160/2134 [30:18<17:11,  1.06s/it]
 54%|█████▍    | 1161/2134 [30:19<16:33,  1.02s/it]
                                                   

 54%|█████▍    | 1161/2134 [30:19<16:33,  1.02s/it]
 54%|█████▍    | 1162/2134 [30:20<16:05,  1.01it/s]
                                                   

 54%|█████▍    | 1162/2134 [30:20<16:05,  1.01it/s]
 54%|█████▍    | 1163/2134 [30:21<15:47,  1.02it/s]
                                                   

 54%|█████▍    | 1163/2134 [30:21<15:47,  1.02it/s]
 55%|█████▍    | 1164/2134 [30:22<15:36,  1.04it/s]
                                                   

 55%|█████▍    | 1164/2134 [30:22<15:36,  1.04it/s]
 55%|█████▍    | 1165/2134 [30:23<15:26,  1.05it/s]
                                                   

 55%|█████▍    | 1165/2134 [30:23<15:26,  1.05it/s]
 55%|█████▍    | 1166/2134 [30:24<15:23,  1.05it/s]
                                                   

 55%|█████▍    | 1166/2134 [30:24<15:23,  1.05it/s]
 55%|█████▍    | 1167/2134 [30:25<15:18,  1.05it/s]
                                                   

 55%|█████▍    | 1167/2134 [30:25<15:18,  1.05it/s]
 55%|█████▍    | 1168/2134 [30:25<15:10,  1.06it/s]
                                                   

 55%|█████▍    | 1168/2134 [30:25<15:10,  1.06it/s]
 55%|█████▍    | 1169/2134 [30:26<15:05,  1.07it/s]
                                                   

 55%|█████▍    | 1169/2134 [30:26<15:05,  1.07it/s]
 55%|█████▍    | 1170/2134 [30:27<15:02,  1.07it/s]
                                                   
{'loss': 0.105, 'grad_norm': 0.5466994047164917, 'learning_rate': 0.00010281203749383325, 'epoch': 0.51}
{'loss': 0.1087, 'grad_norm': 0.46544578671455383, 'learning_rate': 0.00010271336951159349, 'epoch': 0.51}
{'loss': 0.1091, 'grad_norm': 0.49037784337997437, 'learning_rate': 0.00010261470152935372, 'epoch': 0.51}
{'loss': 0.1024, 'grad_norm': 0.48381543159484863, 'learning_rate': 0.00010251603354711397, 'epoch': 0.51}
{'loss': 0.0931, 'grad_norm': 0.40437445044517517, 'learning_rate': 0.00010241736556487421, 'epoch': 0.51}
{'loss': 0.1305, 'grad_norm': 0.569223165512085, 'learning_rate': 0.00010231869758263444, 'epoch': 0.51}
{'loss': 0.1831, 'grad_norm': 0.7119762897491455, 'learning_rate': 0.00010222002960039468, 'epoch': 0.51}
{'loss': 0.0966, 'grad_norm': 0.41818544268608093, 'learning_rate': 0.00010212136161815492, 'epoch': 0.52}
{'loss': 0.1315, 'grad_norm': 0.6728432774543762, 'learning_rate': 0.00010202269363591515, 'epoch': 0.52}
{'loss': 0.0991, 'grad_norm': 0.4488503932952881, 'learning_rate': 0.00010192402565367539, 'epoch': 0.52}
{'loss': 0.1227, 'grad_norm': 0.5563470721244812, 'learning_rate': 0.00010182535767143562, 'epoch': 0.52}
{'loss': 0.1094, 'grad_norm': 0.5364632606506348, 'learning_rate': 0.00010172668968919586, 'epoch': 0.52}
{'loss': 0.1291, 'grad_norm': 0.5371625423431396, 'learning_rate': 0.0001016280217069561, 'epoch': 0.52}
{'loss': 0.1161, 'grad_norm': 0.5218002200126648, 'learning_rate': 0.00010152935372471633, 'epoch': 0.52}
{'loss': 0.1102, 'grad_norm': 0.49072831869125366, 'learning_rate': 0.00010143068574247657, 'epoch': 0.52}
{'loss': 0.0937, 'grad_norm': 0.47089684009552, 'learning_rate': 0.0001013320177602368, 'epoch': 0.52}
{'loss': 0.1173, 'grad_norm': 0.5361005663871765, 'learning_rate': 0.00010123334977799705, 'epoch': 0.52}
{'loss': 0.091, 'grad_norm': 0.41593241691589355, 'learning_rate': 0.00010113468179575729, 'epoch': 0.52}
{'loss': 0.1485, 'grad_norm': 0.6651903986930847, 'learning_rate': 0.00010103601381351752, 'epoch': 0.52}
{'loss': 0.1316, 'grad_norm': 0.7443718910217285, 'learning_rate': 0.00010093734583127776, 'epoch': 0.52}
{'loss': 0.1319, 'grad_norm': 0.6164596676826477, 'learning_rate': 0.000100838677849038, 'epoch': 0.52}
{'loss': 0.1143, 'grad_norm': 0.49637144804000854, 'learning_rate': 0.00010074000986679823, 'epoch': 0.52}
{'loss': 0.1036, 'grad_norm': 0.4695303440093994, 'learning_rate': 0.00010064134188455847, 'epoch': 0.52}
{'loss': 0.1009, 'grad_norm': 0.4945705533027649, 'learning_rate': 0.0001005426739023187, 'epoch': 0.52}
{'loss': 0.0969, 'grad_norm': 0.46313539147377014, 'learning_rate': 0.00010044400592007894, 'epoch': 0.52}
{'loss': 0.1166, 'grad_norm': 0.4751327633857727, 'learning_rate': 0.00010034533793783917, 'epoch': 0.52}
{'loss': 0.1243, 'grad_norm': 0.6110727190971375, 'learning_rate': 0.00010024666995559941, 'epoch': 0.52}
{'loss': 0.1049, 'grad_norm': 0.49275654554367065, 'learning_rate': 0.00010014800197335964, 'epoch': 0.52}
{'loss': 0.0999, 'grad_norm': 0.4555630385875702, 'learning_rate': 0.00010004933399111988, 'epoch': 0.53}
{'loss': 0.1153, 'grad_norm': 0.5975214838981628, 'learning_rate': 9.995066600888013e-05, 'epoch': 0.53}
{'loss': 0.1391, 'grad_norm': 0.5806335210800171, 'learning_rate': 9.985199802664037e-05, 'epoch': 0.53}
{'loss': 0.1162, 'grad_norm': 0.5501075387001038, 'learning_rate': 9.97533300444006e-05, 'epoch': 0.53}
{'loss': 0.0956, 'grad_norm': 0.44365227222442627, 'learning_rate': 9.965466206216084e-05, 'epoch': 0.53}
{'loss': 0.1111, 'grad_norm': 0.503294825553894, 'learning_rate': 9.955599407992107e-05, 'epoch': 0.53}
{'loss': 0.1336, 'grad_norm': 0.596185028553009, 'learning_rate': 9.945732609768131e-05, 'epoch': 0.53}
{'loss': 0.1145, 'grad_norm': 0.5689573884010315, 'learning_rate': 9.935865811544154e-05, 'epoch': 0.53}
{'loss': 0.1138, 'grad_norm': 0.5004761219024658, 'learning_rate': 9.925999013320178e-05, 'epoch': 0.53}
{'loss': 0.1168, 'grad_norm': 0.5108415484428406, 'learning_rate': 9.916132215096202e-05, 'epoch': 0.53}
{'loss': 0.1206, 'grad_norm': 0.5720171332359314, 'learning_rate': 9.906265416872225e-05, 'epoch': 0.53}
{'loss': 0.1131, 'grad_norm': 0.4616537094116211, 'learning_rate': 9.896398618648249e-05, 'epoch': 0.53}
{'loss': 0.1246, 'grad_norm': 0.592032790184021, 'learning_rate': 9.886531820424272e-05, 'epoch': 0.53}
{'loss': 0.1032, 'grad_norm': 0.4730031192302704, 'learning_rate': 9.876665022200296e-05, 'epoch': 0.53}
{'loss': 0.1069, 'grad_norm': 0.5531350374221802, 'learning_rate': 9.866798223976321e-05, 'epoch': 0.53}
{'loss': 0.1137, 'grad_norm': 0.5839133858680725, 'learning_rate': 9.856931425752344e-05, 'epoch': 0.53}
{'loss': 0.0956, 'grad_norm': 0.4549609124660492, 'learning_rate': 9.847064627528368e-05, 'epoch': 0.53}
{'loss': 0.1388, 'grad_norm': 0.6211224794387817, 'learning_rate': 9.837197829304392e-05, 'epoch': 0.53}
{'loss': 0.0912, 'grad_norm': 0.4534110724925995, 'learning_rate': 9.827331031080415e-05, 'epoch': 0.53}
{'loss': 0.1053, 'grad_norm': 0.5481339693069458, 'learning_rate': 9.817464232856439e-05, 'epoch': 0.53}
{'loss': 0.0919, 'grad_norm': 0.44271814823150635, 'learning_rate': 9.807597434632462e-05, 'epoch': 0.53}
{'loss': 0.0757, 'grad_norm': 0.44390401244163513, 'learning_rate': 9.797730636408486e-05, 'epoch': 0.54}
{'loss': 0.1025, 'grad_norm': 0.5555139780044556, 'learning_rate': 9.78786383818451e-05, 'epoch': 0.54}
{'loss': 0.0981, 'grad_norm': 0.4761148691177368, 'learning_rate': 9.777997039960533e-05, 'epoch': 0.54}
{'loss': 0.0917, 'grad_norm': 0.4278284013271332, 'learning_rate': 9.768130241736557e-05, 'epoch': 0.54}
{'loss': 0.1284, 'grad_norm': 0.6570994257926941, 'learning_rate': 9.75826344351258e-05, 'epoch': 0.54}
{'loss': 0.1251, 'grad_norm': 0.5427771210670471, 'learning_rate': 9.748396645288604e-05, 'epoch': 0.54}
{'loss': 0.1366, 'grad_norm': 0.5502409934997559, 'learning_rate': 9.738529847064629e-05, 'epoch': 0.54}
{'loss': 0.0965, 'grad_norm': 0.47615453600883484, 'learning_rate': 9.728663048840652e-05, 'epoch': 0.54}
{'loss': 0.098, 'grad_norm': 0.4627608358860016, 'learning_rate': 9.718796250616676e-05, 'epoch': 0.54}
{'loss': 0.1587, 'grad_norm': 0.7095760107040405, 'learning_rate': 9.7089294523927e-05, 'epoch': 0.54}
{'loss': 0.1245, 'grad_norm': 0.5713326334953308, 'learning_rate': 9.699062654168723e-05, 'epoch': 0.54}
{'loss': 0.1168, 'grad_norm': 0.5321129560470581, 'learning_rate': 9.689195855944747e-05, 'epoch': 0.54}
{'loss': 0.0978, 'grad_norm': 0.4461618959903717, 'learning_rate': 9.67932905772077e-05, 'epoch': 0.54}
{'loss': 0.0852, 'grad_norm': 0.41424620151519775, 'learning_rate': 9.669462259496794e-05, 'epoch': 0.54}
{'loss': 0.116, 'grad_norm': 0.550481379032135, 'learning_rate': 9.659595461272817e-05, 'epoch': 0.54}
{'loss': 0.1085, 'grad_norm': 0.4820094406604767, 'learning_rate': 9.649728663048841e-05, 'epoch': 0.54}
{'loss': 0.1784, 'grad_norm': 0.8129137754440308, 'learning_rate': 9.639861864824864e-05, 'epoch': 0.54}
{'loss': 0.1176, 'grad_norm': 0.5215489864349365, 'learning_rate': 9.629995066600888e-05, 'epoch': 0.54}
{'loss': 0.1144, 'grad_norm': 0.5047179460525513, 'learning_rate': 9.620128268376912e-05, 'epoch': 0.54}
{'loss': 0.0818, 'grad_norm': 0.4443911612033844, 'learning_rate': 9.610261470152937e-05, 'epoch': 0.54}
{'loss': 0.1447, 'grad_norm': 0.5359043478965759, 'learning_rate': 9.60039467192896e-05, 'epoch': 0.54}
{'loss': 0.118, 'grad_norm': 0.49767544865608215, 'learning_rate': 9.590527873704984e-05, 'epoch': 0.54}
{'loss': 0.0854, 'grad_norm': 0.36582762002944946, 'learning_rate': 9.580661075481007e-05, 'epoch': 0.55}
{'loss': 0.1679, 'grad_norm': 0.7032141089439392, 'learning_rate': 9.570794277257031e-05, 'epoch': 0.55}
{'loss': 0.145, 'grad_norm': 0.5788887143135071, 'learning_rate': 9.560927479033054e-05, 'epoch': 0.55}
{'loss': 0.0999, 'grad_norm': 0.4736550450325012, 'learning_rate': 9.551060680809078e-05, 'epoch': 0.55}
{'loss': 0.1115, 'grad_norm': 0.4649110734462738, 'learning_rate': 9.541193882585102e-05, 'epoch': 0.55}
{'loss': 0.1364, 'grad_norm': 0.6180704832077026, 'learning_rate': 9.531327084361125e-05, 'epoch': 0.55}
{'loss': 0.129, 'grad_norm': 0.5688692927360535, 'learning_rate': 9.521460286137149e-05, 'epoch': 0.55}
 55%|█████▍    | 1170/2134 [30:27<15:02,  1.07it/s]
 55%|█████▍    | 1171/2134 [30:28<14:59,  1.07it/s]
                                                   

 55%|█████▍    | 1171/2134 [30:28<14:59,  1.07it/s]
 55%|█████▍    | 1172/2134 [30:29<14:58,  1.07it/s]
                                                   

 55%|█████▍    | 1172/2134 [30:29<14:58,  1.07it/s]
 55%|█████▍    | 1173/2134 [30:30<14:56,  1.07it/s]
                                                   

 55%|█████▍    | 1173/2134 [30:30<14:56,  1.07it/s]
 55%|█████▌    | 1174/2134 [30:31<14:54,  1.07it/s]
                                                   

 55%|█████▌    | 1174/2134 [30:31<14:54,  1.07it/s]
 55%|█████▌    | 1175/2134 [30:50<1:40:03,  6.26s/it]
                                                     

 55%|█████▌    | 1175/2134 [30:50<1:40:03,  6.26s/it]
 55%|█████▌    | 1176/2134 [30:51<1:14:25,  4.66s/it]
                                                     

 55%|█████▌    | 1176/2134 [30:51<1:14:25,  4.66s/it]
 55%|█████▌    | 1177/2134 [30:52<56:27,  3.54s/it]  
                                                   

 55%|█████▌    | 1177/2134 [30:52<56:27,  3.54s/it]
 55%|█████▌    | 1178/2134 [30:53<43:54,  2.76s/it]
                                                   

 55%|█████▌    | 1178/2134 [30:53<43:54,  2.76s/it]
 55%|█████▌    | 1179/2134 [30:53<35:07,  2.21s/it]
                                                   

 55%|█████▌    | 1179/2134 [30:53<35:07,  2.21s/it]
 55%|█████▌    | 1180/2134 [30:54<28:58,  1.82s/it]
                                                   

 55%|█████▌    | 1180/2134 [30:54<28:58,  1.82s/it]
 55%|█████▌    | 1181/2134 [30:55<24:39,  1.55s/it]
                                                   

 55%|█████▌    | 1181/2134 [30:55<24:39,  1.55s/it]
 55%|█████▌    | 1182/2134 [30:56<21:38,  1.36s/it]
                                                   

 55%|█████▌    | 1182/2134 [30:56<21:38,  1.36s/it]
 55%|█████▌    | 1183/2134 [30:57<19:32,  1.23s/it]
                                                   

 55%|█████▌    | 1183/2134 [30:57<19:32,  1.23s/it]
 55%|█████▌    | 1184/2134 [30:58<18:04,  1.14s/it]
                                                   

 55%|█████▌    | 1184/2134 [30:58<18:04,  1.14s/it]
 56%|█████▌    | 1185/2134 [30:59<17:02,  1.08s/it]
                                                   

 56%|█████▌    | 1185/2134 [30:59<17:02,  1.08s/it]
 56%|█████▌    | 1186/2134 [31:00<16:20,  1.03s/it]
                                                   

 56%|█████▌    | 1186/2134 [31:00<16:20,  1.03s/it]
 56%|█████▌    | 1187/2134 [31:01<15:47,  1.00s/it]
                                                   

 56%|█████▌    | 1187/2134 [31:01<15:47,  1.00s/it]
 56%|█████▌    | 1188/2134 [31:02<15:25,  1.02it/s]
                                                   

 56%|█████▌    | 1188/2134 [31:02<15:25,  1.02it/s]
 56%|█████▌    | 1189/2134 [31:03<15:09,  1.04it/s]
                                                   

 56%|█████▌    | 1189/2134 [31:03<15:09,  1.04it/s]
 56%|█████▌    | 1190/2134 [31:04<14:58,  1.05it/s]
                                                   

 56%|█████▌    | 1190/2134 [31:04<14:58,  1.05it/s]
 56%|█████▌    | 1191/2134 [31:05<14:51,  1.06it/s]
                                                   

 56%|█████▌    | 1191/2134 [31:05<14:51,  1.06it/s]
 56%|█████▌    | 1192/2134 [31:05<14:44,  1.06it/s]
                                                   

 56%|█████▌    | 1192/2134 [31:05<14:44,  1.06it/s]
 56%|█████▌    | 1193/2134 [31:06<14:40,  1.07it/s]
                                                   

 56%|█████▌    | 1193/2134 [31:06<14:40,  1.07it/s]
 56%|█████▌    | 1194/2134 [31:07<14:36,  1.07it/s]
                                                   

 56%|█████▌    | 1194/2134 [31:07<14:36,  1.07it/s]
 56%|█████▌    | 1195/2134 [31:08<14:33,  1.07it/s]
                                                   

 56%|█████▌    | 1195/2134 [31:08<14:33,  1.07it/s]
 56%|█████▌    | 1196/2134 [31:09<14:30,  1.08it/s]
                                                   

 56%|█████▌    | 1196/2134 [31:09<14:30,  1.08it/s]
 56%|█████▌    | 1197/2134 [31:10<14:40,  1.06it/s]
                                                   

 56%|█████▌    | 1197/2134 [31:10<14:40,  1.06it/s]
 56%|█████▌    | 1198/2134 [31:11<15:42,  1.01s/it]
                                                   

 56%|█████▌    | 1198/2134 [31:11<15:42,  1.01s/it]
 56%|█████▌    | 1199/2134 [31:13<16:53,  1.08s/it]
                                                   

 56%|█████▌    | 1199/2134 [31:13<16:53,  1.08s/it]
 56%|█████▌    | 1200/2134 [31:27<1:18:30,  5.04s/it]
                                                     

 56%|█████▌    | 1200/2134 [31:27<1:18:30,  5.04s/it]
 56%|█████▋    | 1201/2134 [31:28<59:18,  3.81s/it]  
                                                   

 56%|█████▋    | 1201/2134 [31:28<59:18,  3.81s/it]
 56%|█████▋    | 1202/2134 [31:29<45:48,  2.95s/it]
                                                   

 56%|█████▋    | 1202/2134 [31:29<45:48,  2.95s/it]
 56%|█████▋    | 1203/2134 [31:30<36:20,  2.34s/it]
                                                   

 56%|█████▋    | 1203/2134 [31:30<36:20,  2.34s/it]
 56%|█████▋    | 1204/2134 [31:31<29:42,  1.92s/it]
                                                   

 56%|█████▋    | 1204/2134 [31:31<29:42,  1.92s/it]
 56%|█████▋    | 1205/2134 [31:32<25:04,  1.62s/it]
                                                   

 56%|█████▋    | 1205/2134 [31:32<25:04,  1.62s/it]
 57%|█████▋    | 1206/2134 [31:32<21:50,  1.41s/it]
                                                   

 57%|█████▋    | 1206/2134 [31:32<21:50,  1.41s/it]
 57%|█████▋    | 1207/2134 [31:33<19:33,  1.27s/it]
                                                   

 57%|█████▋    | 1207/2134 [31:33<19:33,  1.27s/it]
 57%|█████▋    | 1208/2134 [31:34<17:59,  1.17s/it]
                                                   

 57%|█████▋    | 1208/2134 [31:34<17:59,  1.17s/it]
 57%|█████▋    | 1209/2134 [31:35<16:49,  1.09s/it]
                                                   

 57%|█████▋    | 1209/2134 [31:35<16:49,  1.09s/it]
 57%|█████▋    | 1210/2134 [31:36<16:03,  1.04s/it]
                                                   

 57%|█████▋    | 1210/2134 [31:36<16:03,  1.04s/it]
 57%|█████▋    | 1211/2134 [31:37<15:29,  1.01s/it]
                                                   

 57%|█████▋    | 1211/2134 [31:37<15:29,  1.01s/it]
 57%|█████▋    | 1212/2134 [31:38<15:04,  1.02it/s]
                                                   

 57%|█████▋    | 1212/2134 [31:38<15:04,  1.02it/s]
 57%|█████▋    | 1213/2134 [31:39<14:48,  1.04it/s]
                                                   

 57%|█████▋    | 1213/2134 [31:39<14:48,  1.04it/s]
 57%|█████▋    | 1214/2134 [31:40<14:34,  1.05it/s]
                                                   

 57%|█████▋    | 1214/2134 [31:40<14:34,  1.05it/s]
 57%|█████▋    | 1215/2134 [31:41<14:26,  1.06it/s]
                                                   

 57%|█████▋    | 1215/2134 [31:41<14:26,  1.06it/s]
 57%|█████▋    | 1216/2134 [31:42<14:26,  1.06it/s]
                                                   

 57%|█████▋    | 1216/2134 [31:42<14:26,  1.06it/s]
 57%|█████▋    | 1217/2134 [31:43<14:23,  1.06it/s]
                                                   

 57%|█████▋    | 1217/2134 [31:43<14:23,  1.06it/s]
 57%|█████▋    | 1218/2134 [31:44<14:19,  1.07it/s]
                                                   

 57%|█████▋    | 1218/2134 [31:44<14:19,  1.07it/s]
 57%|█████▋    | 1219/2134 [31:45<15:04,  1.01it/s]
                                                   

 57%|█████▋    | 1219/2134 [31:45<15:04,  1.01it/s]
 57%|█████▋    | 1220/2134 [31:46<16:26,  1.08s/it]
                                                   

 57%|█████▋    | 1220/2134 [31:46<16:26,  1.08s/it]
 57%|█████▋    | 1221/2134 [31:47<17:21,  1.14s/it]
                                                   

 57%|█████▋    | 1221/2134 [31:47<17:21,  1.14s/it]
 57%|█████▋    | 1222/2134 [31:48<17:38,  1.16s/it]
                                                   

 57%|█████▋    | 1222/2134 [31:48<17:38,  1.16s/it]
 57%|█████▋    | 1223/2134 [31:49<16:38,  1.10s/it]
                                                   

 57%|█████▋    | 1223/2134 [31:49<16:38,  1.10s/it]
 57%|█████▋    | 1224/2134 [31:50<15:54,  1.05s/it]
                                                   

 57%|█████▋    | 1224/2134 [31:50<15:54,  1.05s/it]
 57%|█████▋    | 1225/2134 [32:04<1:13:22,  4.84s/it]
                                                     

 57%|█████▋    | 1225/2134 [32:04<1:13:22,  4.84s/it]
 57%|█████▋    | 1226/2134 [32:05<56:14,  3.72s/it]  
                                                   

 57%|█████▋    | 1226/2134 [32:05<56:14,  3.72s/it]
 57%|█████▋    | 1227/2134 [32:06<43:35,  2.88s/it]
                                                   

 57%|█████▋    | 1227/2134 [32:06<43:35,  2.88s/it]
 58%|█████▊    | 1228/2134 [32:07<34:41,  2.30s/it]
                                                   

 58%|█████▊    | 1228/2134 [32:07<34:41,  2.30s/it]
 58%|█████▊    | 1229/2134 [32:08<28:26,  1.89s/it]
                                                   

 58%|█████▊    | 1229/2134 [32:08<28:26,  1.89s/it]
 58%|█████▊    | 1230/2134 [32:09<24:05,  1.60s/it]
                                                   

 58%|█████▊    | 1230/2134 [32:09<24:05,  1.60s/it]
 58%|█████▊    | 1231/2134 [32:10<21:03,  1.40s/it]
                                                   

 58%|█████▊    | 1231/2134 [32:10<21:03,  1.40s/it]
 58%|█████▊    | 1232/2134 [32:11<18:56,  1.26s/it]
                                                   

 58%|█████▊    | 1232/2134 [32:11<18:56,  1.26s/it]
 58%|█████▊    | 1233/2134 [32:12<17:29,  1.16s/it]
                                                   

 58%|█████▊    | 1233/2134 [32:12<17:29,  1.16s/it]
 58%|█████▊    | 1234/2134 [32:13<16:26,  1.10s/it]
                                                   

 58%|█████▊    | 1234/2134 [32:13<16:26,  1.10s/it]
 58%|█████▊    | 1235/2134 [32:14<15:41,  1.05s/it]
                                                   

 58%|█████▊    | 1235/2134 [32:14<15:41,  1.05s/it]
 58%|█████▊    | 1236/2134 [32:14<15:08,  1.01s/it]
                                                   

 58%|█████▊    | 1236/2134 [32:14<15:08,  1.01s/it]
 58%|█████▊    | 1237/2134 [32:15<14:44,  1.01it/s]
                                                   

 58%|█████▊    | 1237/2134 [32:15<14:44,  1.01it/s]
 58%|█████▊    | 1238/2134 [32:16<14:28,  1.03it/s]
                                                   

 58%|█████▊    | 1238/2134 [32:16<14:28,  1.03it/s]
 58%|█████▊    | 1239/2134 [32:17<14:17,  1.04it/s]
                                                   

 58%|█████▊    | 1239/2134 [32:17<14:17,  1.04it/s]
 58%|█████▊    | 1240/2134 [32:18<15:23,  1.03s/it]
                                                   

 58%|█████▊    | 1240/2134 [32:18<15:23,  1.03s/it]
 58%|█████▊    | 1241/2134 [32:21<20:18,  1.36s/it]
                                                   

 58%|█████▊    | 1241/2134 [32:21<20:18,  1.36s/it]
 58%|█████▊    | 1242/2134 [32:22<21:48,  1.47s/it]
                                                   

 58%|█████▊    | 1242/2134 [32:22<21:48,  1.47s/it]
 58%|█████▊    | 1243/2134 [32:23<19:25,  1.31s/it]
                                                   

 58%|█████▊    | 1243/2134 [32:23<19:25,  1.31s/it]
 58%|█████▊    | 1244/2134 [32:24<17:42,  1.19s/it]
                                                   

 58%|█████▊    | 1244/2134 [32:24<17:42,  1.19s/it]
 58%|█████▊    | 1245/2134 [32:25<16:31,  1.12s/it]
                                                   

 58%|█████▊    | 1245/2134 [32:25<16:31,  1.12s/it]
 58%|█████▊    | 1246/2134 [32:26<15:43,  1.06s/it]
                                                   

 58%|█████▊    | 1246/2134 [32:26<15:43,  1.06s/it]
 58%|█████▊    | 1247/2134 [32:27<15:13,  1.03s/it]
                                                   

 58%|█████▊    | 1247/2134 [32:27<15:13,  1.03s/it]
 58%|█████▊    | 1248/2134 [32:28<14:49,  1.00s/it]
                                                   

 58%|█████▊    | 1248/2134 [32:28<14:49,  1.00s/it]
 59%|█████▊    | 1249/2134 [32:29<14:31,  1.02it/s]
                                                   
{'loss': 0.1085, 'grad_norm': 0.43870633840560913, 'learning_rate': 9.511593487913172e-05, 'epoch': 0.55}
{'loss': 0.155, 'grad_norm': 0.7225655913352966, 'learning_rate': 9.501726689689196e-05, 'epoch': 0.55}
{'loss': 0.1105, 'grad_norm': 0.44715484976768494, 'learning_rate': 9.491859891465221e-05, 'epoch': 0.55}
{'loss': 0.111, 'grad_norm': 0.524294912815094, 'learning_rate': 9.481993093241244e-05, 'epoch': 0.55}
{'loss': 0.1059, 'grad_norm': 0.5232431888580322, 'learning_rate': 9.472126295017268e-05, 'epoch': 0.55}
{'loss': 0.1156, 'grad_norm': 0.48591938614845276, 'learning_rate': 9.462259496793292e-05, 'epoch': 0.55}
{'loss': 0.0847, 'grad_norm': 0.3670004904270172, 'learning_rate': 9.452392698569315e-05, 'epoch': 0.55}
{'loss': 0.105, 'grad_norm': 0.4877918064594269, 'learning_rate': 9.442525900345339e-05, 'epoch': 0.55}
{'loss': 0.107, 'grad_norm': 0.43032556772232056, 'learning_rate': 9.432659102121362e-05, 'epoch': 0.55}
{'loss': 0.1251, 'grad_norm': 0.6122604012489319, 'learning_rate': 9.422792303897386e-05, 'epoch': 0.55}
{'loss': 0.1068, 'grad_norm': 0.49685680866241455, 'learning_rate': 9.41292550567341e-05, 'epoch': 0.55}
{'loss': 0.126, 'grad_norm': 0.6143625378608704, 'learning_rate': 9.403058707449433e-05, 'epoch': 0.55}
{'loss': 0.1078, 'grad_norm': 0.5093302726745605, 'learning_rate': 9.393191909225457e-05, 'epoch': 0.55}
{'loss': 0.1235, 'grad_norm': 0.5979651212692261, 'learning_rate': 9.38332511100148e-05, 'epoch': 0.55}
{'loss': 0.1077, 'grad_norm': 0.47611087560653687, 'learning_rate': 9.373458312777504e-05, 'epoch': 0.56}
{'loss': 0.1337, 'grad_norm': 0.6329625844955444, 'learning_rate': 9.363591514553529e-05, 'epoch': 0.56}
{'loss': 0.1179, 'grad_norm': 0.43847131729125977, 'learning_rate': 9.353724716329552e-05, 'epoch': 0.56}
{'loss': 0.1031, 'grad_norm': 0.5090948939323425, 'learning_rate': 9.343857918105576e-05, 'epoch': 0.56}
{'loss': 0.1161, 'grad_norm': 0.5450409054756165, 'learning_rate': 9.3339911198816e-05, 'epoch': 0.56}
{'loss': 0.0987, 'grad_norm': 0.5213793516159058, 'learning_rate': 9.324124321657623e-05, 'epoch': 0.56}
{'loss': 0.0911, 'grad_norm': 0.4343668818473816, 'learning_rate': 9.314257523433647e-05, 'epoch': 0.56}
{'loss': 0.1106, 'grad_norm': 0.4798577129840851, 'learning_rate': 9.30439072520967e-05, 'epoch': 0.56}
{'loss': 0.118, 'grad_norm': 0.5699349641799927, 'learning_rate': 9.294523926985694e-05, 'epoch': 0.56}
{'loss': 0.0721, 'grad_norm': 0.3575502634048462, 'learning_rate': 9.284657128761717e-05, 'epoch': 0.56}
{'loss': 0.1275, 'grad_norm': 0.5536377429962158, 'learning_rate': 9.274790330537741e-05, 'epoch': 0.56}
{'loss': 0.1098, 'grad_norm': 0.5457849502563477, 'learning_rate': 9.264923532313764e-05, 'epoch': 0.56}
{'loss': 0.0778, 'grad_norm': 0.32620057463645935, 'learning_rate': 9.255056734089788e-05, 'epoch': 0.56}
{'loss': 0.1177, 'grad_norm': 0.5817978382110596, 'learning_rate': 9.245189935865812e-05, 'epoch': 0.56}
{'loss': 0.1332, 'grad_norm': 0.5654740333557129, 'learning_rate': 9.235323137641837e-05, 'epoch': 0.56}
{'loss': 0.1026, 'grad_norm': 0.5431510806083679, 'learning_rate': 9.22545633941786e-05, 'epoch': 0.56}
{'loss': 0.0976, 'grad_norm': 0.4301389157772064, 'learning_rate': 9.215589541193884e-05, 'epoch': 0.56}
{'loss': 0.1071, 'grad_norm': 0.564947247505188, 'learning_rate': 9.205722742969907e-05, 'epoch': 0.56}
{'loss': 0.108, 'grad_norm': 0.5959238409996033, 'learning_rate': 9.195855944745931e-05, 'epoch': 0.56}
{'loss': 0.1092, 'grad_norm': 0.4799172282218933, 'learning_rate': 9.185989146521954e-05, 'epoch': 0.56}
{'loss': 0.0994, 'grad_norm': 0.5131366848945618, 'learning_rate': 9.176122348297978e-05, 'epoch': 0.56}
{'loss': 0.152, 'grad_norm': 0.6057287454605103, 'learning_rate': 9.166255550074002e-05, 'epoch': 0.57}
{'loss': 0.0906, 'grad_norm': 0.39673200249671936, 'learning_rate': 9.156388751850025e-05, 'epoch': 0.57}
{'loss': 0.0819, 'grad_norm': 0.3598334789276123, 'learning_rate': 9.146521953626049e-05, 'epoch': 0.57}
{'loss': 0.0848, 'grad_norm': 0.40402764081954956, 'learning_rate': 9.136655155402072e-05, 'epoch': 0.57}
{'loss': 0.085, 'grad_norm': 0.40771448612213135, 'learning_rate': 9.126788357178096e-05, 'epoch': 0.57}
{'loss': 0.1329, 'grad_norm': 0.5665585994720459, 'learning_rate': 9.11692155895412e-05, 'epoch': 0.57}
{'loss': 0.0816, 'grad_norm': 0.3956654667854309, 'learning_rate': 9.107054760730144e-05, 'epoch': 0.57}
{'loss': 0.0972, 'grad_norm': 0.5328395366668701, 'learning_rate': 9.097187962506168e-05, 'epoch': 0.57}
{'loss': 0.1004, 'grad_norm': 0.43186154961586, 'learning_rate': 9.087321164282192e-05, 'epoch': 0.57}
{'loss': 0.0865, 'grad_norm': 0.48668456077575684, 'learning_rate': 9.077454366058215e-05, 'epoch': 0.57}
{'loss': 0.1186, 'grad_norm': 0.7104724049568176, 'learning_rate': 9.067587567834239e-05, 'epoch': 0.57}
{'loss': 0.1251, 'grad_norm': 0.562376856803894, 'learning_rate': 9.057720769610262e-05, 'epoch': 0.57}
{'loss': 0.1156, 'grad_norm': 0.5452807545661926, 'learning_rate': 9.047853971386286e-05, 'epoch': 0.57}
{'loss': 0.1085, 'grad_norm': 0.5421144366264343, 'learning_rate': 9.03798717316231e-05, 'epoch': 0.57}
{'loss': 0.1129, 'grad_norm': 0.49388647079467773, 'learning_rate': 9.028120374938333e-05, 'epoch': 0.57}
{'loss': 0.103, 'grad_norm': 0.4560961127281189, 'learning_rate': 9.018253576714357e-05, 'epoch': 0.57}
{'loss': 0.0854, 'grad_norm': 0.4275723993778229, 'learning_rate': 9.00838677849038e-05, 'epoch': 0.57}
{'loss': 0.0814, 'grad_norm': 0.4475841522216797, 'learning_rate': 8.998519980266404e-05, 'epoch': 0.57}
{'loss': 0.1099, 'grad_norm': 0.48051199316978455, 'learning_rate': 8.988653182042427e-05, 'epoch': 0.57}
{'loss': 0.1171, 'grad_norm': 0.5292553305625916, 'learning_rate': 8.978786383818452e-05, 'epoch': 0.57}
{'loss': 0.1135, 'grad_norm': 0.5215219855308533, 'learning_rate': 8.968919585594476e-05, 'epoch': 0.57}
{'loss': 0.1303, 'grad_norm': 0.6112760305404663, 'learning_rate': 8.9590527873705e-05, 'epoch': 0.57}
{'loss': 0.0908, 'grad_norm': 0.35977181792259216, 'learning_rate': 8.949185989146523e-05, 'epoch': 0.58}
{'loss': 0.1473, 'grad_norm': 0.5791915655136108, 'learning_rate': 8.939319190922547e-05, 'epoch': 0.58}
{'loss': 0.0765, 'grad_norm': 0.31668752431869507, 'learning_rate': 8.92945239269857e-05, 'epoch': 0.58}
{'loss': 0.096, 'grad_norm': 0.4754776954650879, 'learning_rate': 8.919585594474594e-05, 'epoch': 0.58}
{'loss': 0.1329, 'grad_norm': 0.5732704997062683, 'learning_rate': 8.909718796250617e-05, 'epoch': 0.58}
{'loss': 0.0956, 'grad_norm': 0.43178772926330566, 'learning_rate': 8.899851998026641e-05, 'epoch': 0.58}
{'loss': 0.1005, 'grad_norm': 0.4590252935886383, 'learning_rate': 8.889985199802664e-05, 'epoch': 0.58}
{'loss': 0.0945, 'grad_norm': 0.3990679979324341, 'learning_rate': 8.880118401578688e-05, 'epoch': 0.58}
{'loss': 0.1405, 'grad_norm': 0.6403279900550842, 'learning_rate': 8.870251603354712e-05, 'epoch': 0.58}
{'loss': 0.1083, 'grad_norm': 0.4198688566684723, 'learning_rate': 8.860384805130735e-05, 'epoch': 0.58}
{'loss': 0.0946, 'grad_norm': 0.4405299425125122, 'learning_rate': 8.85051800690676e-05, 'epoch': 0.58}
{'loss': 0.1185, 'grad_norm': 0.580069363117218, 'learning_rate': 8.840651208682784e-05, 'epoch': 0.58}
{'loss': 0.1028, 'grad_norm': 0.46614912152290344, 'learning_rate': 8.830784410458807e-05, 'epoch': 0.58}
{'loss': 0.0627, 'grad_norm': 0.29680827260017395, 'learning_rate': 8.820917612234831e-05, 'epoch': 0.58}
{'loss': 0.1079, 'grad_norm': 0.4619660973548889, 'learning_rate': 8.811050814010854e-05, 'epoch': 0.58}
{'loss': 0.2133, 'grad_norm': 0.8711274266242981, 'learning_rate': 8.801184015786878e-05, 'epoch': 0.58}
{'loss': 0.1095, 'grad_norm': 0.5021132230758667, 'learning_rate': 8.791317217562902e-05, 'epoch': 0.58}
{'loss': 0.093, 'grad_norm': 0.3798551857471466, 'learning_rate': 8.781450419338925e-05, 'epoch': 0.58}
{'loss': 0.1034, 'grad_norm': 0.44609981775283813, 'learning_rate': 8.771583621114949e-05, 'epoch': 0.58}
{'loss': 0.0872, 'grad_norm': 0.48156195878982544, 'learning_rate': 8.761716822890972e-05, 'epoch': 0.58}
{'loss': 0.0911, 'grad_norm': 0.4474230706691742, 'learning_rate': 8.751850024666996e-05, 'epoch': 0.58}
{'loss': 0.1115, 'grad_norm': 0.5171715021133423, 'learning_rate': 8.74198322644302e-05, 'epoch': 0.59}
 59%|█████▊    | 1249/2134 [32:29<14:31,  1.02it/s]
 59%|█████▊    | 1250/2134 [32:43<1:12:27,  4.92s/it]
                                                     

 59%|█████▊    | 1250/2134 [32:43<1:12:27,  4.92s/it]
 59%|█████▊    | 1251/2134 [32:44<54:48,  3.72s/it]  
                                                   

 59%|█████▊    | 1251/2134 [32:44<54:48,  3.72s/it]
 59%|█████▊    | 1252/2134 [32:45<42:25,  2.89s/it]
                                                   

 59%|█████▊    | 1252/2134 [32:45<42:25,  2.89s/it]
 59%|█████▊    | 1253/2134 [32:46<33:46,  2.30s/it]
                                                   

 59%|█████▊    | 1253/2134 [32:46<33:46,  2.30s/it]
 59%|█████▉    | 1254/2134 [32:47<27:42,  1.89s/it]
                                                   

 59%|█████▉    | 1254/2134 [32:47<27:42,  1.89s/it]
 59%|█████▉    | 1255/2134 [32:48<23:26,  1.60s/it]
                                                   

 59%|█████▉    | 1255/2134 [32:48<23:26,  1.60s/it]
 59%|█████▉    | 1256/2134 [32:49<20:26,  1.40s/it]
                                                   

 59%|█████▉    | 1256/2134 [32:49<20:26,  1.40s/it]
 59%|█████▉    | 1257/2134 [32:49<18:19,  1.25s/it]
                                                   

 59%|█████▉    | 1257/2134 [32:49<18:19,  1.25s/it]
 59%|█████▉    | 1258/2134 [32:50<16:50,  1.15s/it]
                                                   

 59%|█████▉    | 1258/2134 [32:50<16:50,  1.15s/it]
 59%|█████▉    | 1259/2134 [32:52<16:58,  1.16s/it]
                                                   

 59%|█████▉    | 1259/2134 [32:52<16:58,  1.16s/it]
 59%|█████▉    | 1260/2134 [32:53<18:46,  1.29s/it]
                                                   

 59%|█████▉    | 1260/2134 [32:53<18:46,  1.29s/it]
 59%|█████▉    | 1261/2134 [32:55<20:22,  1.40s/it]
                                                   

 59%|█████▉    | 1261/2134 [32:55<20:22,  1.40s/it]
 59%|█████▉    | 1262/2134 [32:56<20:01,  1.38s/it]
                                                   

 59%|█████▉    | 1262/2134 [32:56<20:01,  1.38s/it]
 59%|█████▉    | 1263/2134 [32:57<18:02,  1.24s/it]
                                                   

 59%|█████▉    | 1263/2134 [32:57<18:02,  1.24s/it]
 59%|█████▉    | 1264/2134 [32:58<16:39,  1.15s/it]
                                                   

 59%|█████▉    | 1264/2134 [32:58<16:39,  1.15s/it]
 59%|█████▉    | 1265/2134 [32:59<15:39,  1.08s/it]
                                                   

 59%|█████▉    | 1265/2134 [32:59<15:39,  1.08s/it]
 59%|█████▉    | 1266/2134 [33:00<15:51,  1.10s/it]
                                                   

 59%|█████▉    | 1266/2134 [33:00<15:51,  1.10s/it]
 59%|█████▉    | 1267/2134 [33:01<15:05,  1.04s/it]
                                                   

 59%|█████▉    | 1267/2134 [33:01<15:05,  1.04s/it]
 59%|█████▉    | 1268/2134 [33:02<14:33,  1.01s/it]
                                                   

 59%|█████▉    | 1268/2134 [33:02<14:33,  1.01s/it]
 59%|█████▉    | 1269/2134 [33:03<14:10,  1.02it/s]
                                                   

 59%|█████▉    | 1269/2134 [33:03<14:10,  1.02it/s]
 60%|█████▉    | 1270/2134 [33:04<13:54,  1.04it/s]
                                                   

 60%|█████▉    | 1270/2134 [33:04<13:54,  1.04it/s]
 60%|█████▉    | 1271/2134 [33:05<13:42,  1.05it/s]
                                                   

 60%|█████▉    | 1271/2134 [33:05<13:42,  1.05it/s]
 60%|█████▉    | 1272/2134 [33:06<13:33,  1.06it/s]
                                                   

 60%|█████▉    | 1272/2134 [33:06<13:33,  1.06it/s]
 60%|█████▉    | 1273/2134 [33:07<13:27,  1.07it/s]
                                                   

 60%|█████▉    | 1273/2134 [33:07<13:27,  1.07it/s]
 60%|█████▉    | 1274/2134 [33:07<13:21,  1.07it/s]
                                                   

 60%|█████▉    | 1274/2134 [33:07<13:21,  1.07it/s]
 60%|█████▉    | 1275/2134 [33:22<1:09:47,  4.88s/it]
                                                     

 60%|█████▉    | 1275/2134 [33:22<1:09:47,  4.88s/it]
 60%|█████▉    | 1276/2134 [33:22<52:50,  3.70s/it]  
                                                   

 60%|█████▉    | 1276/2134 [33:22<52:50,  3.70s/it]
 60%|█████▉    | 1277/2134 [33:23<40:59,  2.87s/it]
                                                   

 60%|█████▉    | 1277/2134 [33:23<40:59,  2.87s/it]
 60%|█████▉    | 1278/2134 [33:24<32:38,  2.29s/it]
                                                   

 60%|█████▉    | 1278/2134 [33:24<32:38,  2.29s/it]
 60%|█████▉    | 1279/2134 [33:26<28:23,  1.99s/it]
                                                   

 60%|█████▉    | 1279/2134 [33:26<28:23,  1.99s/it]
 60%|█████▉    | 1280/2134 [33:27<26:52,  1.89s/it]
                                                   

 60%|█████▉    | 1280/2134 [33:27<26:52,  1.89s/it]
 60%|██████    | 1281/2134 [33:29<26:26,  1.86s/it]
                                                   

 60%|██████    | 1281/2134 [33:29<26:26,  1.86s/it]
 60%|██████    | 1282/2134 [33:30<23:12,  1.63s/it]
                                                   

 60%|██████    | 1282/2134 [33:30<23:12,  1.63s/it]
 60%|██████    | 1283/2134 [33:31<20:12,  1.43s/it]
                                                   

 60%|██████    | 1283/2134 [33:31<20:12,  1.43s/it]
 60%|██████    | 1284/2134 [33:32<18:10,  1.28s/it]
                                                   

 60%|██████    | 1284/2134 [33:32<18:10,  1.28s/it]
 60%|██████    | 1285/2134 [33:33<16:44,  1.18s/it]
                                                   

 60%|██████    | 1285/2134 [33:33<16:44,  1.18s/it]
 60%|██████    | 1286/2134 [33:34<15:41,  1.11s/it]
                                                   

 60%|██████    | 1286/2134 [33:34<15:41,  1.11s/it]
 60%|██████    | 1287/2134 [33:35<14:56,  1.06s/it]
                                                   

 60%|██████    | 1287/2134 [33:35<14:56,  1.06s/it]
 60%|██████    | 1288/2134 [33:36<14:22,  1.02s/it]
                                                   

 60%|██████    | 1288/2134 [33:36<14:22,  1.02s/it]
 60%|██████    | 1289/2134 [33:37<14:09,  1.01s/it]
                                                   

 60%|██████    | 1289/2134 [33:37<14:09,  1.01s/it]
 60%|██████    | 1290/2134 [33:38<13:55,  1.01it/s]
                                                   

 60%|██████    | 1290/2134 [33:38<13:55,  1.01it/s]
 60%|██████    | 1291/2134 [33:39<13:40,  1.03it/s]
                                                   

 60%|██████    | 1291/2134 [33:39<13:40,  1.03it/s]
 61%|██████    | 1292/2134 [33:40<13:27,  1.04it/s]
                                                   

 61%|██████    | 1292/2134 [33:40<13:27,  1.04it/s]
 61%|██████    | 1293/2134 [33:41<13:18,  1.05it/s]
                                                   

 61%|██████    | 1293/2134 [33:41<13:18,  1.05it/s]
 61%|██████    | 1294/2134 [33:41<13:12,  1.06it/s]
                                                   

 61%|██████    | 1294/2134 [33:41<13:12,  1.06it/s]
 61%|██████    | 1295/2134 [33:42<13:09,  1.06it/s]
                                                   

 61%|██████    | 1295/2134 [33:42<13:09,  1.06it/s]
 61%|██████    | 1296/2134 [33:43<13:05,  1.07it/s]
                                                   

 61%|██████    | 1296/2134 [33:43<13:05,  1.07it/s]
 61%|██████    | 1297/2134 [33:44<13:09,  1.06it/s]
                                                   

 61%|██████    | 1297/2134 [33:44<13:09,  1.06it/s]
 61%|██████    | 1298/2134 [33:45<13:03,  1.07it/s]
                                                   

 61%|██████    | 1298/2134 [33:45<13:03,  1.07it/s]
 61%|██████    | 1299/2134 [33:46<12:59,  1.07it/s]
                                                   

 61%|██████    | 1299/2134 [33:46<12:59,  1.07it/s]
 61%|██████    | 1300/2134 [34:00<1:06:05,  4.75s/it]
                                                     

 61%|██████    | 1300/2134 [34:00<1:06:05,  4.75s/it]
 61%|██████    | 1301/2134 [34:01<50:08,  3.61s/it]  
                                                   

 61%|██████    | 1301/2134 [34:01<50:08,  3.61s/it]
 61%|██████    | 1302/2134 [34:02<40:17,  2.91s/it]
                                                   

 61%|██████    | 1302/2134 [34:02<40:17,  2.91s/it]
 61%|██████    | 1303/2134 [34:04<35:19,  2.55s/it]
                                                   

 61%|██████    | 1303/2134 [34:04<35:19,  2.55s/it]
 61%|██████    | 1304/2134 [34:06<32:12,  2.33s/it]
                                                   

 61%|██████    | 1304/2134 [34:06<32:12,  2.33s/it]
 61%|██████    | 1305/2134 [34:07<26:34,  1.92s/it]
                                                   

 61%|██████    | 1305/2134 [34:07<26:34,  1.92s/it]
 61%|██████    | 1306/2134 [34:07<22:28,  1.63s/it]
                                                   

 61%|██████    | 1306/2134 [34:07<22:28,  1.63s/it]
 61%|██████    | 1307/2134 [34:08<19:36,  1.42s/it]
                                                   

 61%|██████    | 1307/2134 [34:08<19:36,  1.42s/it]
 61%|██████▏   | 1308/2134 [34:09<17:34,  1.28s/it]
                                                   

 61%|██████▏   | 1308/2134 [34:09<17:34,  1.28s/it]
 61%|██████▏   | 1309/2134 [34:10<16:09,  1.18s/it]
                                                   

 61%|██████▏   | 1309/2134 [34:10<16:09,  1.18s/it]
 61%|██████▏   | 1310/2134 [34:11<15:15,  1.11s/it]
                                                   

 61%|██████▏   | 1310/2134 [34:11<15:15,  1.11s/it]
 61%|██████▏   | 1311/2134 [34:12<14:43,  1.07s/it]
                                                   

 61%|██████▏   | 1311/2134 [34:12<14:43,  1.07s/it]
 61%|██████▏   | 1312/2134 [34:13<14:18,  1.04s/it]
                                                   

 61%|██████▏   | 1312/2134 [34:13<14:18,  1.04s/it]
 62%|██████▏   | 1313/2134 [34:14<14:00,  1.02s/it]
                                                   

 62%|██████▏   | 1313/2134 [34:14<14:00,  1.02s/it]
 62%|██████▏   | 1314/2134 [34:15<13:45,  1.01s/it]
                                                   

 62%|██████▏   | 1314/2134 [34:15<13:45,  1.01s/it]
 62%|██████▏   | 1315/2134 [34:16<13:35,  1.00it/s]
                                                   

 62%|██████▏   | 1315/2134 [34:16<13:35,  1.00it/s]
 62%|██████▏   | 1316/2134 [34:17<13:30,  1.01it/s]
                                                   

 62%|██████▏   | 1316/2134 [34:17<13:30,  1.01it/s]
 62%|██████▏   | 1317/2134 [34:18<13:26,  1.01it/s]
                                                   

 62%|██████▏   | 1317/2134 [34:18<13:26,  1.01it/s]
 62%|██████▏   | 1318/2134 [34:19<13:21,  1.02it/s]
                                                   

 62%|██████▏   | 1318/2134 [34:19<13:21,  1.02it/s]
 62%|██████▏   | 1319/2134 [34:20<13:19,  1.02it/s]
                                                   

 62%|██████▏   | 1319/2134 [34:20<13:19,  1.02it/s]
 62%|██████▏   | 1320/2134 [34:21<13:13,  1.03it/s]
                                                   

 62%|██████▏   | 1320/2134 [34:21<13:13,  1.03it/s]
 62%|██████▏   | 1321/2134 [34:22<13:10,  1.03it/s]
                                                   

 62%|██████▏   | 1321/2134 [34:22<13:10,  1.03it/s]
 62%|██████▏   | 1322/2134 [34:23<13:06,  1.03it/s]
                                                   

 62%|██████▏   | 1322/2134 [34:23<13:06,  1.03it/s]
 62%|██████▏   | 1323/2134 [34:24<13:05,  1.03it/s]
                                                   

 62%|██████▏   | 1323/2134 [34:24<13:05,  1.03it/s]
 62%|██████▏   | 1324/2134 [34:25<13:04,  1.03it/s]
                                                   

 62%|██████▏   | 1324/2134 [34:25<13:04,  1.03it/s]
 62%|██████▏   | 1325/2134 [34:44<1:25:37,  6.35s/it]
                                                     

 62%|██████▏   | 1325/2134 [34:44<1:25:37,  6.35s/it]
 62%|██████▏   | 1326/2134 [34:45<1:03:45,  4.73s/it]
                                                     

 62%|██████▏   | 1326/2134 [34:45<1:03:45,  4.73s/it]
 62%|██████▏   | 1327/2134 [34:46<49:15,  3.66s/it]  
                                                   

 62%|██████▏   | 1327/2134 [34:46<49:15,  3.66s/it]
 62%|██████▏   | 1328/2134 [34:47<38:13,  2.85s/it]
                                                   
{'loss': 0.126, 'grad_norm': 0.6038103699684143, 'learning_rate': 8.732116428219043e-05, 'epoch': 0.59}
{'loss': 0.1007, 'grad_norm': 0.4409599304199219, 'learning_rate': 8.722249629995068e-05, 'epoch': 0.59}
{'loss': 0.0894, 'grad_norm': 0.3955238163471222, 'learning_rate': 8.712382831771092e-05, 'epoch': 0.59}
{'loss': 0.0863, 'grad_norm': 0.3738202750682831, 'learning_rate': 8.702516033547115e-05, 'epoch': 0.59}
{'loss': 0.1099, 'grad_norm': 0.5245216488838196, 'learning_rate': 8.692649235323139e-05, 'epoch': 0.59}
{'loss': 0.0872, 'grad_norm': 0.36409860849380493, 'learning_rate': 8.682782437099162e-05, 'epoch': 0.59}
{'loss': 0.1051, 'grad_norm': 0.49418964982032776, 'learning_rate': 8.672915638875186e-05, 'epoch': 0.59}
{'loss': 0.0863, 'grad_norm': 0.3982749879360199, 'learning_rate': 8.66304884065121e-05, 'epoch': 0.59}
{'loss': 0.0705, 'grad_norm': 0.3369617462158203, 'learning_rate': 8.653182042427233e-05, 'epoch': 0.59}
{'loss': 0.1097, 'grad_norm': 0.6042912602424622, 'learning_rate': 8.643315244203257e-05, 'epoch': 0.59}
{'loss': 0.1084, 'grad_norm': 0.475057452917099, 'learning_rate': 8.63344844597928e-05, 'epoch': 0.59}
{'loss': 0.1252, 'grad_norm': 0.5829901695251465, 'learning_rate': 8.623581647755304e-05, 'epoch': 0.59}
{'loss': 0.0911, 'grad_norm': 0.44366469979286194, 'learning_rate': 8.613714849531327e-05, 'epoch': 0.59}
{'loss': 0.1294, 'grad_norm': 0.6310644745826721, 'learning_rate': 8.603848051307351e-05, 'epoch': 0.59}
{'loss': 0.1268, 'grad_norm': 0.5242713093757629, 'learning_rate': 8.593981253083376e-05, 'epoch': 0.59}
{'loss': 0.0958, 'grad_norm': 0.5108388066291809, 'learning_rate': 8.5841144548594e-05, 'epoch': 0.59}
{'loss': 0.099, 'grad_norm': 0.5080928206443787, 'learning_rate': 8.574247656635423e-05, 'epoch': 0.59}
{'loss': 0.1307, 'grad_norm': 0.6277921795845032, 'learning_rate': 8.564380858411447e-05, 'epoch': 0.59}
{'loss': 0.0726, 'grad_norm': 0.3335230052471161, 'learning_rate': 8.55451406018747e-05, 'epoch': 0.59}
{'loss': 0.1196, 'grad_norm': 0.5178331732749939, 'learning_rate': 8.544647261963494e-05, 'epoch': 0.59}
{'loss': 0.1173, 'grad_norm': 0.5318388938903809, 'learning_rate': 8.534780463739517e-05, 'epoch': 0.6}
{'loss': 0.1259, 'grad_norm': 0.5127995610237122, 'learning_rate': 8.524913665515541e-05, 'epoch': 0.6}
{'loss': 0.109, 'grad_norm': 0.4805013835430145, 'learning_rate': 8.515046867291564e-05, 'epoch': 0.6}
{'loss': 0.0944, 'grad_norm': 0.41192659735679626, 'learning_rate': 8.505180069067588e-05, 'epoch': 0.6}
{'loss': 0.0776, 'grad_norm': 0.36100149154663086, 'learning_rate': 8.495313270843612e-05, 'epoch': 0.6}
{'loss': 0.1101, 'grad_norm': 0.4910299479961395, 'learning_rate': 8.485446472619635e-05, 'epoch': 0.6}
{'loss': 0.1015, 'grad_norm': 0.4351047873497009, 'learning_rate': 8.47557967439566e-05, 'epoch': 0.6}
{'loss': 0.0946, 'grad_norm': 0.410993367433548, 'learning_rate': 8.465712876171684e-05, 'epoch': 0.6}
{'loss': 0.1224, 'grad_norm': 0.5827949643135071, 'learning_rate': 8.455846077947707e-05, 'epoch': 0.6}
{'loss': 0.0964, 'grad_norm': 0.5113060474395752, 'learning_rate': 8.445979279723731e-05, 'epoch': 0.6}
{'loss': 0.0798, 'grad_norm': 0.3947623372077942, 'learning_rate': 8.436112481499754e-05, 'epoch': 0.6}
{'loss': 0.0718, 'grad_norm': 0.36958521604537964, 'learning_rate': 8.426245683275778e-05, 'epoch': 0.6}
{'loss': 0.068, 'grad_norm': 0.29887011647224426, 'learning_rate': 8.416378885051802e-05, 'epoch': 0.6}
{'loss': 0.0875, 'grad_norm': 0.41356560587882996, 'learning_rate': 8.406512086827825e-05, 'epoch': 0.6}
{'loss': 0.1064, 'grad_norm': 0.5216840505599976, 'learning_rate': 8.396645288603849e-05, 'epoch': 0.6}
{'loss': 0.0808, 'grad_norm': 0.439357191324234, 'learning_rate': 8.386778490379872e-05, 'epoch': 0.6}
{'loss': 0.114, 'grad_norm': 0.5782803893089294, 'learning_rate': 8.376911692155896e-05, 'epoch': 0.6}
{'loss': 0.0969, 'grad_norm': 0.5485967993736267, 'learning_rate': 8.36704489393192e-05, 'epoch': 0.6}
{'loss': 0.1138, 'grad_norm': 0.583788275718689, 'learning_rate': 8.357178095707943e-05, 'epoch': 0.6}
{'loss': 0.1218, 'grad_norm': 0.6482389569282532, 'learning_rate': 8.347311297483968e-05, 'epoch': 0.6}
{'loss': 0.1182, 'grad_norm': 0.6605831384658813, 'learning_rate': 8.337444499259992e-05, 'epoch': 0.6}
{'loss': 0.0763, 'grad_norm': 0.41330066323280334, 'learning_rate': 8.327577701036015e-05, 'epoch': 0.6}
{'loss': 0.1008, 'grad_norm': 0.5345029830932617, 'learning_rate': 8.317710902812039e-05, 'epoch': 0.61}
{'loss': 0.0996, 'grad_norm': 0.46381643414497375, 'learning_rate': 8.307844104588062e-05, 'epoch': 0.61}
{'loss': 0.0802, 'grad_norm': 0.43385615944862366, 'learning_rate': 8.297977306364086e-05, 'epoch': 0.61}
{'loss': 0.0775, 'grad_norm': 0.419758141040802, 'learning_rate': 8.28811050814011e-05, 'epoch': 0.61}
{'loss': 0.1091, 'grad_norm': 0.5838141441345215, 'learning_rate': 8.278243709916133e-05, 'epoch': 0.61}
{'loss': 0.1105, 'grad_norm': 0.7151365280151367, 'learning_rate': 8.268376911692157e-05, 'epoch': 0.61}
{'loss': 0.0809, 'grad_norm': 0.406575471162796, 'learning_rate': 8.25851011346818e-05, 'epoch': 0.61}
{'loss': 0.0924, 'grad_norm': 0.5255227088928223, 'learning_rate': 8.248643315244204e-05, 'epoch': 0.61}
{'loss': 0.094, 'grad_norm': 0.5002107620239258, 'learning_rate': 8.238776517020227e-05, 'epoch': 0.61}
{'loss': 0.0708, 'grad_norm': 0.3624536991119385, 'learning_rate': 8.228909718796251e-05, 'epoch': 0.61}
{'loss': 0.0734, 'grad_norm': 0.3897545039653778, 'learning_rate': 8.219042920572276e-05, 'epoch': 0.61}
{'loss': 0.0993, 'grad_norm': 0.5133454203605652, 'learning_rate': 8.2091761223483e-05, 'epoch': 0.61}
{'loss': 0.1167, 'grad_norm': 0.5587284564971924, 'learning_rate': 8.199309324124323e-05, 'epoch': 0.61}
{'loss': 0.0818, 'grad_norm': 0.348587304353714, 'learning_rate': 8.189442525900347e-05, 'epoch': 0.61}
{'loss': 0.1022, 'grad_norm': 0.49347835779190063, 'learning_rate': 8.17957572767637e-05, 'epoch': 0.61}
{'loss': 0.1011, 'grad_norm': 0.5029962658882141, 'learning_rate': 8.169708929452394e-05, 'epoch': 0.61}
{'loss': 0.0953, 'grad_norm': 0.49190473556518555, 'learning_rate': 8.159842131228417e-05, 'epoch': 0.61}
{'loss': 0.1086, 'grad_norm': 0.4873647689819336, 'learning_rate': 8.149975333004441e-05, 'epoch': 0.61}
{'loss': 0.1033, 'grad_norm': 0.46711570024490356, 'learning_rate': 8.140108534780464e-05, 'epoch': 0.61}
{'loss': 0.108, 'grad_norm': 0.48318108916282654, 'learning_rate': 8.130241736556488e-05, 'epoch': 0.61}
{'loss': 0.104, 'grad_norm': 0.5057116746902466, 'learning_rate': 8.120374938332512e-05, 'epoch': 0.61}
{'loss': 0.0836, 'grad_norm': 0.4695519506931305, 'learning_rate': 8.110508140108535e-05, 'epoch': 0.62}
{'loss': 0.0968, 'grad_norm': 0.44171687960624695, 'learning_rate': 8.100641341884559e-05, 'epoch': 0.62}
{'loss': 0.0952, 'grad_norm': 0.36798977851867676, 'learning_rate': 8.090774543660584e-05, 'epoch': 0.62}
{'loss': 0.0865, 'grad_norm': 0.5194960832595825, 'learning_rate': 8.080907745436607e-05, 'epoch': 0.62}
{'loss': 0.0919, 'grad_norm': 0.4232642650604248, 'learning_rate': 8.071040947212631e-05, 'epoch': 0.62}
{'loss': 0.0633, 'grad_norm': 0.3139701187610626, 'learning_rate': 8.061174148988654e-05, 'epoch': 0.62}
{'loss': 0.0947, 'grad_norm': 0.48409560322761536, 'learning_rate': 8.051307350764678e-05, 'epoch': 0.62}
{'loss': 0.0842, 'grad_norm': 0.39595872163772583, 'learning_rate': 8.041440552540702e-05, 'epoch': 0.62}
{'loss': 0.1204, 'grad_norm': 0.5850112438201904, 'learning_rate': 8.031573754316725e-05, 'epoch': 0.62}
{'loss': 0.0916, 'grad_norm': 0.4578137695789337, 'learning_rate': 8.021706956092749e-05, 'epoch': 0.62}
{'loss': 0.0876, 'grad_norm': 0.5078239440917969, 'learning_rate': 8.011840157868772e-05, 'epoch': 0.62}
{'loss': 0.0958, 'grad_norm': 0.44865503907203674, 'learning_rate': 8.001973359644796e-05, 'epoch': 0.62}
{'loss': 0.0831, 'grad_norm': 0.4177781045436859, 'learning_rate': 7.99210656142082e-05, 'epoch': 0.62}
{'loss': 0.1032, 'grad_norm': 0.4625101685523987, 'learning_rate': 7.982239763196843e-05, 'epoch': 0.62}
{'loss': 0.0917, 'grad_norm': 0.44802325963974, 'learning_rate': 7.972372964972867e-05, 'epoch': 0.62}
{'loss': 0.1386, 'grad_norm': 0.6598176956176758, 'learning_rate': 7.96250616674889e-05, 'epoch': 0.62}
 62%|██████▏   | 1328/2134 [34:47<38:13,  2.85s/it]
 62%|██████▏   | 1329/2134 [34:48<30:29,  2.27s/it]
                                                   

 62%|██████▏   | 1329/2134 [34:48<30:29,  2.27s/it]
 62%|██████▏   | 1330/2134 [34:49<25:06,  1.87s/it]
                                                   

 62%|██████▏   | 1330/2134 [34:49<25:06,  1.87s/it]
 62%|██████▏   | 1331/2134 [34:50<21:20,  1.59s/it]
                                                   

 62%|██████▏   | 1331/2134 [34:50<21:20,  1.59s/it]
 62%|██████▏   | 1332/2134 [34:51<18:43,  1.40s/it]
                                                   

 62%|██████▏   | 1332/2134 [34:51<18:43,  1.40s/it]
 62%|██████▏   | 1333/2134 [34:52<16:52,  1.26s/it]
                                                   

 62%|██████▏   | 1333/2134 [34:52<16:52,  1.26s/it]
 63%|██████▎   | 1334/2134 [34:52<15:35,  1.17s/it]
                                                   

 63%|██████▎   | 1334/2134 [34:52<15:35,  1.17s/it]
 63%|██████▎   | 1335/2134 [34:53<14:40,  1.10s/it]
                                                   

 63%|██████▎   | 1335/2134 [34:53<14:40,  1.10s/it]
 63%|██████▎   | 1336/2134 [34:54<14:02,  1.06s/it]
                                                   

 63%|██████▎   | 1336/2134 [34:54<14:02,  1.06s/it]
 63%|██████▎   | 1337/2134 [34:55<13:34,  1.02s/it]
                                                   

 63%|██████▎   | 1337/2134 [34:55<13:34,  1.02s/it]
 63%|██████▎   | 1338/2134 [34:56<13:14,  1.00it/s]
                                                   

 63%|██████▎   | 1338/2134 [34:56<13:14,  1.00it/s]
 63%|██████▎   | 1339/2134 [34:57<13:02,  1.02it/s]
                                                   

 63%|██████▎   | 1339/2134 [34:57<13:02,  1.02it/s]
 63%|██████▎   | 1340/2134 [34:58<12:52,  1.03it/s]
                                                   

 63%|██████▎   | 1340/2134 [34:58<12:52,  1.03it/s]
 63%|██████▎   | 1341/2134 [34:59<12:46,  1.03it/s]
                                                   

 63%|██████▎   | 1341/2134 [34:59<12:46,  1.03it/s]
 63%|██████▎   | 1342/2134 [35:00<12:41,  1.04it/s]
                                                   

 63%|██████▎   | 1342/2134 [35:00<12:41,  1.04it/s]
 63%|██████▎   | 1343/2134 [35:01<12:36,  1.05it/s]
                                                   

 63%|██████▎   | 1343/2134 [35:01<12:36,  1.05it/s]
 63%|██████▎   | 1344/2134 [35:02<12:34,  1.05it/s]
                                                   

 63%|██████▎   | 1344/2134 [35:02<12:34,  1.05it/s]
 63%|██████▎   | 1345/2134 [35:03<12:33,  1.05it/s]
                                                   

 63%|██████▎   | 1345/2134 [35:03<12:33,  1.05it/s]
 63%|██████▎   | 1346/2134 [35:04<12:31,  1.05it/s]
                                                   

 63%|██████▎   | 1346/2134 [35:04<12:31,  1.05it/s]
 63%|██████▎   | 1347/2134 [35:05<12:29,  1.05it/s]
                                                   

 63%|██████▎   | 1347/2134 [35:05<12:29,  1.05it/s]
 63%|██████▎   | 1348/2134 [35:06<12:26,  1.05it/s]
                                                   

 63%|██████▎   | 1348/2134 [35:06<12:26,  1.05it/s]
 63%|██████▎   | 1349/2134 [35:07<12:23,  1.06it/s]
                                                   

 63%|██████▎   | 1349/2134 [35:07<12:23,  1.06it/s]
 63%|██████▎   | 1350/2134 [35:23<1:13:29,  5.62s/it]
                                                     

 63%|██████▎   | 1350/2134 [35:23<1:13:29,  5.62s/it]
 63%|██████▎   | 1351/2134 [35:24<55:05,  4.22s/it]  
                                                   

 63%|██████▎   | 1351/2134 [35:24<55:05,  4.22s/it]
 63%|██████▎   | 1352/2134 [35:25<42:12,  3.24s/it]
                                                   

 63%|██████▎   | 1352/2134 [35:25<42:12,  3.24s/it]
 63%|██████▎   | 1353/2134 [35:26<33:10,  2.55s/it]
                                                   

 63%|██████▎   | 1353/2134 [35:26<33:10,  2.55s/it]
 63%|██████▎   | 1354/2134 [35:27<26:51,  2.07s/it]
                                                   

 63%|██████▎   | 1354/2134 [35:27<26:51,  2.07s/it]
 63%|██████▎   | 1355/2134 [35:28<22:28,  1.73s/it]
                                                   

 63%|██████▎   | 1355/2134 [35:28<22:28,  1.73s/it]
 64%|██████▎   | 1356/2134 [35:29<19:22,  1.49s/it]
                                                   

 64%|██████▎   | 1356/2134 [35:29<19:22,  1.49s/it]
 64%|██████▎   | 1357/2134 [35:30<17:11,  1.33s/it]
                                                   

 64%|██████▎   | 1357/2134 [35:30<17:11,  1.33s/it]
 64%|██████▎   | 1358/2134 [35:31<15:39,  1.21s/it]
                                                   

 64%|██████▎   | 1358/2134 [35:31<15:39,  1.21s/it]
 64%|██████▎   | 1359/2134 [35:32<14:36,  1.13s/it]
                                                   

 64%|██████▎   | 1359/2134 [35:32<14:36,  1.13s/it]
 64%|██████▎   | 1360/2134 [35:33<13:52,  1.08s/it]
                                                   

 64%|██████▎   | 1360/2134 [35:33<13:52,  1.08s/it]
 64%|██████▍   | 1361/2134 [35:34<13:20,  1.04s/it]
                                                   

 64%|██████▍   | 1361/2134 [35:34<13:20,  1.04s/it]
 64%|██████▍   | 1362/2134 [35:35<12:56,  1.01s/it]
                                                   

 64%|██████▍   | 1362/2134 [35:35<12:56,  1.01s/it]
 64%|██████▍   | 1363/2134 [35:35<12:39,  1.01it/s]
                                                   

 64%|██████▍   | 1363/2134 [35:35<12:39,  1.01it/s]
 64%|██████▍   | 1364/2134 [35:36<12:28,  1.03it/s]
                                                   

 64%|██████▍   | 1364/2134 [35:36<12:28,  1.03it/s]
 64%|██████▍   | 1365/2134 [35:37<12:21,  1.04it/s]
                                                   

 64%|██████▍   | 1365/2134 [35:37<12:21,  1.04it/s]
 64%|██████▍   | 1366/2134 [35:38<12:15,  1.04it/s]
                                                   

 64%|██████▍   | 1366/2134 [35:38<12:15,  1.04it/s]
 64%|██████▍   | 1367/2134 [35:39<12:10,  1.05it/s]
                                                   

 64%|██████▍   | 1367/2134 [35:39<12:10,  1.05it/s]
 64%|██████▍   | 1368/2134 [35:40<12:07,  1.05it/s]
                                                   

 64%|██████▍   | 1368/2134 [35:40<12:07,  1.05it/s]
 64%|██████▍   | 1369/2134 [35:41<12:03,  1.06it/s]
                                                   

 64%|██████▍   | 1369/2134 [35:41<12:03,  1.06it/s]
 64%|██████▍   | 1370/2134 [35:42<12:51,  1.01s/it]
                                                   

 64%|██████▍   | 1370/2134 [35:42<12:51,  1.01s/it]
 64%|██████▍   | 1371/2134 [35:44<14:14,  1.12s/it]
                                                   

 64%|██████▍   | 1371/2134 [35:44<14:14,  1.12s/it]
 64%|██████▍   | 1372/2134 [35:45<15:54,  1.25s/it]
                                                   

 64%|██████▍   | 1372/2134 [35:45<15:54,  1.25s/it]
 64%|██████▍   | 1373/2134 [35:47<16:05,  1.27s/it]
                                                   

 64%|██████▍   | 1373/2134 [35:47<16:05,  1.27s/it]
 64%|██████▍   | 1374/2134 [35:48<15:14,  1.20s/it]
                                                   

 64%|██████▍   | 1374/2134 [35:48<15:14,  1.20s/it]
 64%|██████▍   | 1375/2134 [36:01<1:02:16,  4.92s/it]
                                                     

 64%|██████▍   | 1375/2134 [36:01<1:02:16,  4.92s/it]
 64%|██████▍   | 1376/2134 [36:02<47:06,  3.73s/it]  
                                                   

 64%|██████▍   | 1376/2134 [36:02<47:06,  3.73s/it]
 65%|██████▍   | 1377/2134 [36:03<36:27,  2.89s/it]
                                                   

 65%|██████▍   | 1377/2134 [36:03<36:27,  2.89s/it]
 65%|██████▍   | 1378/2134 [36:04<29:01,  2.30s/it]
                                                   

 65%|██████▍   | 1378/2134 [36:04<29:01,  2.30s/it]
 65%|██████▍   | 1379/2134 [36:05<23:50,  1.89s/it]
                                                   

 65%|██████▍   | 1379/2134 [36:05<23:50,  1.89s/it]
 65%|██████▍   | 1380/2134 [36:06<20:10,  1.61s/it]
                                                   

 65%|██████▍   | 1380/2134 [36:06<20:10,  1.61s/it]
 65%|██████▍   | 1381/2134 [36:07<17:42,  1.41s/it]
                                                   

 65%|██████▍   | 1381/2134 [36:07<17:42,  1.41s/it]
 65%|██████▍   | 1382/2134 [36:08<15:53,  1.27s/it]
                                                   

 65%|██████▍   | 1382/2134 [36:08<15:53,  1.27s/it]
 65%|██████▍   | 1383/2134 [36:09<14:36,  1.17s/it]
                                                   

 65%|██████▍   | 1383/2134 [36:09<14:36,  1.17s/it]
 65%|██████▍   | 1384/2134 [36:10<13:40,  1.09s/it]
                                                   

 65%|██████▍   | 1384/2134 [36:10<13:40,  1.09s/it]
 65%|██████▍   | 1385/2134 [36:11<13:02,  1.04s/it]
                                                   

 65%|██████▍   | 1385/2134 [36:11<13:02,  1.04s/it]
 65%|██████▍   | 1386/2134 [36:11<12:35,  1.01s/it]
                                                   

 65%|██████▍   | 1386/2134 [36:11<12:35,  1.01s/it]
 65%|██████▍   | 1387/2134 [36:12<12:17,  1.01it/s]
                                                   

 65%|██████▍   | 1387/2134 [36:12<12:17,  1.01it/s]
 65%|██████▌   | 1388/2134 [36:13<12:04,  1.03it/s]
                                                   

 65%|██████▌   | 1388/2134 [36:13<12:04,  1.03it/s]
 65%|██████▌   | 1389/2134 [36:14<11:55,  1.04it/s]
                                                   

 65%|██████▌   | 1389/2134 [36:14<11:55,  1.04it/s]
 65%|██████▌   | 1390/2134 [36:15<12:44,  1.03s/it]
                                                   

 65%|██████▌   | 1390/2134 [36:15<12:44,  1.03s/it]
 65%|██████▌   | 1391/2134 [36:17<14:34,  1.18s/it]
                                                   

 65%|██████▌   | 1391/2134 [36:17<14:34,  1.18s/it]
 65%|██████▌   | 1392/2134 [36:19<16:01,  1.30s/it]
                                                   

 65%|██████▌   | 1392/2134 [36:19<16:01,  1.30s/it]
 65%|██████▌   | 1393/2134 [36:20<16:17,  1.32s/it]
                                                   

 65%|██████▌   | 1393/2134 [36:20<16:17,  1.32s/it]
 65%|██████▌   | 1394/2134 [36:21<14:53,  1.21s/it]
                                                   

 65%|██████▌   | 1394/2134 [36:21<14:53,  1.21s/it]
 65%|██████▌   | 1395/2134 [36:22<13:51,  1.13s/it]
                                                   

 65%|██████▌   | 1395/2134 [36:22<13:51,  1.13s/it]
 65%|██████▌   | 1396/2134 [36:23<13:08,  1.07s/it]
                                                   

 65%|██████▌   | 1396/2134 [36:23<13:08,  1.07s/it]
 65%|██████▌   | 1397/2134 [36:24<12:38,  1.03s/it]
                                                   

 65%|██████▌   | 1397/2134 [36:24<12:38,  1.03s/it]
 66%|██████▌   | 1398/2134 [36:25<12:18,  1.00s/it]
                                                   

 66%|██████▌   | 1398/2134 [36:25<12:18,  1.00s/it]
 66%|██████▌   | 1399/2134 [36:26<12:04,  1.01it/s]
                                                   

 66%|██████▌   | 1399/2134 [36:26<12:04,  1.01it/s]
 66%|██████▌   | 1400/2134 [36:39<57:03,  4.66s/it]
                                                   

 66%|██████▌   | 1400/2134 [36:39<57:03,  4.66s/it]
 66%|██████▌   | 1401/2134 [36:40<43:20,  3.55s/it]
                                                   

 66%|██████▌   | 1401/2134 [36:40<43:20,  3.55s/it]
 66%|██████▌   | 1402/2134 [36:41<33:43,  2.76s/it]
                                                   

 66%|██████▌   | 1402/2134 [36:41<33:43,  2.76s/it]
 66%|██████▌   | 1403/2134 [36:42<27:02,  2.22s/it]
                                                   

 66%|██████▌   | 1403/2134 [36:42<27:02,  2.22s/it]
 66%|██████▌   | 1404/2134 [36:43<22:21,  1.84s/it]
                                                   

 66%|██████▌   | 1404/2134 [36:43<22:21,  1.84s/it]
 66%|██████▌   | 1405/2134 [36:44<19:02,  1.57s/it]
                                                   

 66%|██████▌   | 1405/2134 [36:44<19:02,  1.57s/it]
 66%|██████▌   | 1406/2134 [36:44<16:42,  1.38s/it]
                                                   
{'loss': 0.0678, 'grad_norm': 0.3349713087081909, 'learning_rate': 7.952639368524915e-05, 'epoch': 0.62}
{'loss': 0.091, 'grad_norm': 0.41394469141960144, 'learning_rate': 7.942772570300939e-05, 'epoch': 0.62}
{'loss': 0.0928, 'grad_norm': 0.40501388907432556, 'learning_rate': 7.932905772076962e-05, 'epoch': 0.62}
{'loss': 0.116, 'grad_norm': 0.5381441712379456, 'learning_rate': 7.923038973852986e-05, 'epoch': 0.62}
{'loss': 0.1274, 'grad_norm': 0.5448988080024719, 'learning_rate': 7.91317217562901e-05, 'epoch': 0.62}
{'loss': 0.0769, 'grad_norm': 0.4374580383300781, 'learning_rate': 7.903305377405033e-05, 'epoch': 0.63}
{'loss': 0.0764, 'grad_norm': 0.3623828887939453, 'learning_rate': 7.893438579181057e-05, 'epoch': 0.63}
{'loss': 0.0891, 'grad_norm': 0.40347710251808167, 'learning_rate': 7.88357178095708e-05, 'epoch': 0.63}
{'loss': 0.0787, 'grad_norm': 0.37490811944007874, 'learning_rate': 7.873704982733104e-05, 'epoch': 0.63}
{'loss': 0.0748, 'grad_norm': 0.3809443414211273, 'learning_rate': 7.863838184509127e-05, 'epoch': 0.63}
{'loss': 0.103, 'grad_norm': 0.4688904583454132, 'learning_rate': 7.853971386285151e-05, 'epoch': 0.63}
{'loss': 0.109, 'grad_norm': 0.45662257075309753, 'learning_rate': 7.844104588061175e-05, 'epoch': 0.63}
{'loss': 0.1052, 'grad_norm': 0.48856985569000244, 'learning_rate': 7.834237789837198e-05, 'epoch': 0.63}
{'loss': 0.081, 'grad_norm': 0.38900601863861084, 'learning_rate': 7.824370991613223e-05, 'epoch': 0.63}
{'loss': 0.1144, 'grad_norm': 0.5227597951889038, 'learning_rate': 7.814504193389247e-05, 'epoch': 0.63}
{'loss': 0.095, 'grad_norm': 0.43857911229133606, 'learning_rate': 7.80463739516527e-05, 'epoch': 0.63}
{'loss': 0.0899, 'grad_norm': 0.4388359487056732, 'learning_rate': 7.794770596941294e-05, 'epoch': 0.63}
{'loss': 0.0754, 'grad_norm': 0.40357527136802673, 'learning_rate': 7.784903798717317e-05, 'epoch': 0.63}
{'loss': 0.075, 'grad_norm': 0.3494207561016083, 'learning_rate': 7.775037000493341e-05, 'epoch': 0.63}
{'loss': 0.0876, 'grad_norm': 0.37644192576408386, 'learning_rate': 7.765170202269365e-05, 'epoch': 0.63}
{'loss': 0.09, 'grad_norm': 0.5505242347717285, 'learning_rate': 7.755303404045388e-05, 'epoch': 0.63}
{'loss': 0.1054, 'grad_norm': 0.5217971205711365, 'learning_rate': 7.745436605821412e-05, 'epoch': 0.63}
{'loss': 0.0748, 'grad_norm': 0.3764048218727112, 'learning_rate': 7.735569807597435e-05, 'epoch': 0.63}
{'loss': 0.0975, 'grad_norm': 0.4593397080898285, 'learning_rate': 7.725703009373459e-05, 'epoch': 0.63}
{'loss': 0.0627, 'grad_norm': 0.32867786288261414, 'learning_rate': 7.715836211149482e-05, 'epoch': 0.63}
{'loss': 0.0839, 'grad_norm': 0.44228148460388184, 'learning_rate': 7.705969412925506e-05, 'epoch': 0.63}
{'loss': 0.0876, 'grad_norm': 0.5877827405929565, 'learning_rate': 7.696102614701531e-05, 'epoch': 0.63}
{'loss': 0.0845, 'grad_norm': 0.37920287251472473, 'learning_rate': 7.686235816477554e-05, 'epoch': 0.64}
{'loss': 0.0826, 'grad_norm': 0.4313489496707916, 'learning_rate': 7.676369018253578e-05, 'epoch': 0.64}
{'loss': 0.0905, 'grad_norm': 0.4291178584098816, 'learning_rate': 7.666502220029602e-05, 'epoch': 0.64}
{'loss': 0.0814, 'grad_norm': 0.36083364486694336, 'learning_rate': 7.656635421805625e-05, 'epoch': 0.64}
{'loss': 0.161, 'grad_norm': 0.7586516737937927, 'learning_rate': 7.646768623581649e-05, 'epoch': 0.64}
{'loss': 0.086, 'grad_norm': 0.4762559235095978, 'learning_rate': 7.636901825357672e-05, 'epoch': 0.64}
{'loss': 0.1111, 'grad_norm': 0.5012359023094177, 'learning_rate': 7.627035027133696e-05, 'epoch': 0.64}
{'loss': 0.0843, 'grad_norm': 0.48834162950515747, 'learning_rate': 7.61716822890972e-05, 'epoch': 0.64}
{'loss': 0.0675, 'grad_norm': 0.37514132261276245, 'learning_rate': 7.607301430685743e-05, 'epoch': 0.64}
{'loss': 0.0951, 'grad_norm': 0.4684556722640991, 'learning_rate': 7.597434632461767e-05, 'epoch': 0.64}
{'loss': 0.0671, 'grad_norm': 0.307547390460968, 'learning_rate': 7.58756783423779e-05, 'epoch': 0.64}
{'loss': 0.0869, 'grad_norm': 0.43775907158851624, 'learning_rate': 7.577701036013814e-05, 'epoch': 0.64}
{'loss': 0.0838, 'grad_norm': 0.41966477036476135, 'learning_rate': 7.567834237789837e-05, 'epoch': 0.64}
{'loss': 0.1222, 'grad_norm': 0.5759502053260803, 'learning_rate': 7.557967439565862e-05, 'epoch': 0.64}
{'loss': 0.0795, 'grad_norm': 0.3609623908996582, 'learning_rate': 7.548100641341886e-05, 'epoch': 0.64}
{'loss': 0.0841, 'grad_norm': 0.35217249393463135, 'learning_rate': 7.53823384311791e-05, 'epoch': 0.64}
{'loss': 0.0778, 'grad_norm': 0.3331602215766907, 'learning_rate': 7.528367044893933e-05, 'epoch': 0.64}
{'loss': 0.0974, 'grad_norm': 0.42879369854927063, 'learning_rate': 7.518500246669957e-05, 'epoch': 0.64}
{'loss': 0.0774, 'grad_norm': 0.372610867023468, 'learning_rate': 7.50863344844598e-05, 'epoch': 0.64}
{'loss': 0.0759, 'grad_norm': 0.3601190447807312, 'learning_rate': 7.498766650222004e-05, 'epoch': 0.64}
{'loss': 0.1075, 'grad_norm': 0.4603120982646942, 'learning_rate': 7.488899851998027e-05, 'epoch': 0.64}
{'loss': 0.0952, 'grad_norm': 0.4442500174045563, 'learning_rate': 7.479033053774051e-05, 'epoch': 0.65}
{'loss': 0.0893, 'grad_norm': 0.41632160544395447, 'learning_rate': 7.469166255550075e-05, 'epoch': 0.65}
{'loss': 0.0871, 'grad_norm': 0.4509185254573822, 'learning_rate': 7.459299457326098e-05, 'epoch': 0.65}
{'loss': 0.0904, 'grad_norm': 0.3731289207935333, 'learning_rate': 7.449432659102122e-05, 'epoch': 0.65}
{'loss': 0.0999, 'grad_norm': 0.5862414836883545, 'learning_rate': 7.439565860878145e-05, 'epoch': 0.65}
{'loss': 0.0719, 'grad_norm': 0.36613017320632935, 'learning_rate': 7.42969906265417e-05, 'epoch': 0.65}
{'loss': 0.0943, 'grad_norm': 0.5125815272331238, 'learning_rate': 7.419832264430194e-05, 'epoch': 0.65}
{'loss': 0.0806, 'grad_norm': 0.40042147040367126, 'learning_rate': 7.409965466206217e-05, 'epoch': 0.65}
{'loss': 0.1005, 'grad_norm': 0.4733576476573944, 'learning_rate': 7.400098667982241e-05, 'epoch': 0.65}
{'loss': 0.0776, 'grad_norm': 0.4438613951206207, 'learning_rate': 7.390231869758265e-05, 'epoch': 0.65}
{'loss': 0.0751, 'grad_norm': 0.4443385899066925, 'learning_rate': 7.380365071534288e-05, 'epoch': 0.65}
{'loss': 0.0777, 'grad_norm': 0.35873156785964966, 'learning_rate': 7.370498273310312e-05, 'epoch': 0.65}
{'loss': 0.0704, 'grad_norm': 0.30226510763168335, 'learning_rate': 7.360631475086335e-05, 'epoch': 0.65}
{'loss': 0.0697, 'grad_norm': 0.35129132866859436, 'learning_rate': 7.350764676862359e-05, 'epoch': 0.65}
{'loss': 0.0844, 'grad_norm': 0.4512993395328522, 'learning_rate': 7.340897878638382e-05, 'epoch': 0.65}
{'loss': 0.0873, 'grad_norm': 0.4255012571811676, 'learning_rate': 7.331031080414406e-05, 'epoch': 0.65}
{'loss': 0.0795, 'grad_norm': 0.39640650153160095, 'learning_rate': 7.32116428219043e-05, 'epoch': 0.65}
{'loss': 0.0736, 'grad_norm': 0.37045443058013916, 'learning_rate': 7.311297483966453e-05, 'epoch': 0.65}
{'loss': 0.0858, 'grad_norm': 0.5216498970985413, 'learning_rate': 7.301430685742478e-05, 'epoch': 0.65}
{'loss': 0.0928, 'grad_norm': 0.47574061155319214, 'learning_rate': 7.291563887518502e-05, 'epoch': 0.65}
{'loss': 0.0771, 'grad_norm': 0.37772807478904724, 'learning_rate': 7.281697089294525e-05, 'epoch': 0.65}
{'loss': 0.0875, 'grad_norm': 0.4541022777557373, 'learning_rate': 7.271830291070549e-05, 'epoch': 0.66}
{'loss': 0.0957, 'grad_norm': 0.4134913682937622, 'learning_rate': 7.261963492846572e-05, 'epoch': 0.66}
{'loss': 0.0965, 'grad_norm': 0.4092833995819092, 'learning_rate': 7.252096694622596e-05, 'epoch': 0.66}
{'loss': 0.114, 'grad_norm': 0.518238365650177, 'learning_rate': 7.24222989639862e-05, 'epoch': 0.66}
{'loss': 0.0592, 'grad_norm': 0.27215635776519775, 'learning_rate': 7.232363098174643e-05, 'epoch': 0.66}
{'loss': 0.1027, 'grad_norm': 0.36014121770858765, 'learning_rate': 7.222496299950667e-05, 'epoch': 0.66}
{'loss': 0.0841, 'grad_norm': 0.39967459440231323, 'learning_rate': 7.21262950172669e-05, 'epoch': 0.66}
{'loss': 0.0817, 'grad_norm': 0.3745443820953369, 'learning_rate': 7.202762703502714e-05, 'epoch': 0.66}
{'loss': 0.0999, 'grad_norm': 0.4766806364059448, 'learning_rate': 7.192895905278737e-05, 'epoch': 0.66}
 66%|██████▌   | 1406/2134 [36:44<16:42,  1.38s/it]
 66%|██████▌   | 1407/2134 [36:45<15:05,  1.24s/it]
                                                   

 66%|██████▌   | 1407/2134 [36:45<15:05,  1.24s/it]
 66%|██████▌   | 1408/2134 [36:46<13:59,  1.16s/it]
                                                   

 66%|██████▌   | 1408/2134 [36:46<13:59,  1.16s/it]
 66%|██████▌   | 1409/2134 [36:47<13:11,  1.09s/it]
                                                   

 66%|██████▌   | 1409/2134 [36:47<13:11,  1.09s/it]
 66%|██████▌   | 1410/2134 [36:48<12:37,  1.05s/it]
                                                   

 66%|██████▌   | 1410/2134 [36:48<12:37,  1.05s/it]
 66%|██████▌   | 1411/2134 [36:49<12:17,  1.02s/it]
                                                   

 66%|██████▌   | 1411/2134 [36:49<12:17,  1.02s/it]
 66%|██████▌   | 1412/2134 [36:50<12:04,  1.00s/it]
                                                   

 66%|██████▌   | 1412/2134 [36:50<12:04,  1.00s/it]
 66%|██████▌   | 1413/2134 [36:51<11:56,  1.01it/s]
                                                   

 66%|██████▌   | 1413/2134 [36:51<11:56,  1.01it/s]
 66%|██████▋   | 1414/2134 [36:52<12:14,  1.02s/it]
                                                   

 66%|██████▋   | 1414/2134 [36:52<12:14,  1.02s/it]
 66%|██████▋   | 1415/2134 [36:53<12:25,  1.04s/it]
                                                   

 66%|██████▋   | 1415/2134 [36:53<12:25,  1.04s/it]
 66%|██████▋   | 1416/2134 [36:54<12:39,  1.06s/it]
                                                   

 66%|██████▋   | 1416/2134 [36:54<12:39,  1.06s/it]
 66%|██████▋   | 1417/2134 [36:55<12:21,  1.03s/it]
                                                   

 66%|██████▋   | 1417/2134 [36:55<12:21,  1.03s/it]
 66%|██████▋   | 1418/2134 [36:56<12:06,  1.01s/it]
                                                   

 66%|██████▋   | 1418/2134 [36:56<12:06,  1.01s/it]
 66%|██████▋   | 1419/2134 [36:57<11:49,  1.01it/s]
                                                   

 66%|██████▋   | 1419/2134 [36:57<11:49,  1.01it/s]
 67%|██████▋   | 1420/2134 [36:58<11:36,  1.02it/s]
                                                   

 67%|██████▋   | 1420/2134 [36:58<11:36,  1.02it/s]
 67%|██████▋   | 1421/2134 [36:59<11:27,  1.04it/s]
                                                   

 67%|██████▋   | 1421/2134 [36:59<11:27,  1.04it/s]
 67%|██████▋   | 1422/2134 [37:00<11:20,  1.05it/s]
                                                   

 67%|██████▋   | 1422/2134 [37:00<11:20,  1.05it/s]
 67%|██████▋   | 1423/2134 [37:01<11:18,  1.05it/s]
                                                   

 67%|██████▋   | 1423/2134 [37:01<11:18,  1.05it/s]
 67%|██████▋   | 1424/2134 [37:02<11:16,  1.05it/s]
                                                   

 67%|██████▋   | 1424/2134 [37:02<11:16,  1.05it/s]
 67%|██████▋   | 1425/2134 [37:16<57:51,  4.90s/it]
                                                   

 67%|██████▋   | 1425/2134 [37:16<57:51,  4.90s/it]
 67%|██████▋   | 1426/2134 [37:17<43:53,  3.72s/it]
                                                   

 67%|██████▋   | 1426/2134 [37:17<43:53,  3.72s/it]
 67%|██████▋   | 1427/2134 [37:18<34:03,  2.89s/it]
                                                   

 67%|██████▋   | 1427/2134 [37:18<34:03,  2.89s/it]
 67%|██████▋   | 1428/2134 [37:19<27:06,  2.30s/it]
                                                   

 67%|██████▋   | 1428/2134 [37:19<27:06,  2.30s/it]
 67%|██████▋   | 1429/2134 [37:20<22:15,  1.89s/it]
                                                   

 67%|██████▋   | 1429/2134 [37:20<22:15,  1.89s/it]
 67%|██████▋   | 1430/2134 [37:21<18:54,  1.61s/it]
                                                   

 67%|██████▋   | 1430/2134 [37:21<18:54,  1.61s/it]
 67%|██████▋   | 1431/2134 [37:22<16:37,  1.42s/it]
                                                   

 67%|██████▋   | 1431/2134 [37:22<16:37,  1.42s/it]
 67%|██████▋   | 1432/2134 [37:23<15:00,  1.28s/it]
                                                   

 67%|██████▋   | 1432/2134 [37:23<15:00,  1.28s/it]
 67%|██████▋   | 1433/2134 [37:24<13:51,  1.19s/it]
                                                   

 67%|██████▋   | 1433/2134 [37:24<13:51,  1.19s/it]
 67%|██████▋   | 1434/2134 [37:25<12:58,  1.11s/it]
                                                   

 67%|██████▋   | 1434/2134 [37:25<12:58,  1.11s/it]
 67%|██████▋   | 1435/2134 [37:26<12:20,  1.06s/it]
                                                   

 67%|██████▋   | 1435/2134 [37:26<12:20,  1.06s/it]
 67%|██████▋   | 1436/2134 [37:27<11:52,  1.02s/it]
                                                   

 67%|██████▋   | 1436/2134 [37:27<11:52,  1.02s/it]
 67%|██████▋   | 1437/2134 [37:27<11:34,  1.00it/s]
                                                   

 67%|██████▋   | 1437/2134 [37:27<11:34,  1.00it/s]
 67%|██████▋   | 1438/2134 [37:28<11:21,  1.02it/s]
                                                   

 67%|██████▋   | 1438/2134 [37:28<11:21,  1.02it/s]
 67%|██████▋   | 1439/2134 [37:29<11:10,  1.04it/s]
                                                   

 67%|██████▋   | 1439/2134 [37:29<11:10,  1.04it/s]
 67%|██████▋   | 1440/2134 [37:30<11:02,  1.05it/s]
                                                   

 67%|██████▋   | 1440/2134 [37:30<11:02,  1.05it/s]
 68%|██████▊   | 1441/2134 [37:31<10:57,  1.05it/s]
                                                   

 68%|██████▊   | 1441/2134 [37:31<10:57,  1.05it/s]
 68%|██████▊   | 1442/2134 [37:32<10:54,  1.06it/s]
                                                   

 68%|██████▊   | 1442/2134 [37:32<10:54,  1.06it/s]
 68%|██████▊   | 1443/2134 [37:33<10:50,  1.06it/s]
                                                   

 68%|██████▊   | 1443/2134 [37:33<10:50,  1.06it/s]
 68%|██████▊   | 1444/2134 [37:34<10:47,  1.07it/s]
                                                   

 68%|██████▊   | 1444/2134 [37:34<10:47,  1.07it/s]
 68%|██████▊   | 1445/2134 [37:35<10:45,  1.07it/s]
                                                   

 68%|██████▊   | 1445/2134 [37:35<10:45,  1.07it/s]
 68%|██████▊   | 1446/2134 [37:36<10:42,  1.07it/s]
                                                   

 68%|██████▊   | 1446/2134 [37:36<10:42,  1.07it/s]
 68%|██████▊   | 1447/2134 [37:37<10:41,  1.07it/s]
                                                   

 68%|██████▊   | 1447/2134 [37:37<10:41,  1.07it/s]
 68%|██████▊   | 1448/2134 [37:38<10:39,  1.07it/s]
                                                   

 68%|██████▊   | 1448/2134 [37:38<10:39,  1.07it/s]
 68%|██████▊   | 1449/2134 [37:39<10:38,  1.07it/s]
                                                   

 68%|██████▊   | 1449/2134 [37:39<10:38,  1.07it/s]
 68%|██████▊   | 1450/2134 [37:53<55:49,  4.90s/it]
                                                   

 68%|██████▊   | 1450/2134 [37:53<55:49,  4.90s/it]
 68%|██████▊   | 1451/2134 [37:54<42:14,  3.71s/it]
                                                   

 68%|██████▊   | 1451/2134 [37:54<42:14,  3.71s/it]
 68%|██████▊   | 1452/2134 [37:55<32:43,  2.88s/it]
                                                   

 68%|██████▊   | 1452/2134 [37:55<32:43,  2.88s/it]
 68%|██████▊   | 1453/2134 [37:56<26:03,  2.30s/it]
                                                   

 68%|██████▊   | 1453/2134 [37:56<26:03,  2.30s/it]
 68%|██████▊   | 1454/2134 [37:57<21:23,  1.89s/it]
                                                   

 68%|██████▊   | 1454/2134 [37:57<21:23,  1.89s/it]
 68%|██████▊   | 1455/2134 [37:58<18:08,  1.60s/it]
                                                   

 68%|██████▊   | 1455/2134 [37:58<18:08,  1.60s/it]
 68%|██████▊   | 1456/2134 [37:58<15:52,  1.40s/it]
                                                   

 68%|██████▊   | 1456/2134 [37:58<15:52,  1.40s/it]
 68%|██████▊   | 1457/2134 [37:59<14:14,  1.26s/it]
                                                   

 68%|██████▊   | 1457/2134 [37:59<14:14,  1.26s/it]
 68%|██████▊   | 1458/2134 [38:00<13:05,  1.16s/it]
                                                   

 68%|██████▊   | 1458/2134 [38:00<13:05,  1.16s/it]
 68%|██████▊   | 1459/2134 [38:01<12:16,  1.09s/it]
                                                   

 68%|██████▊   | 1459/2134 [38:01<12:16,  1.09s/it]
 68%|██████▊   | 1460/2134 [38:02<11:43,  1.04s/it]
                                                   

 68%|██████▊   | 1460/2134 [38:02<11:43,  1.04s/it]
 68%|██████▊   | 1461/2134 [38:03<11:19,  1.01s/it]
                                                   

 68%|██████▊   | 1461/2134 [38:03<11:19,  1.01s/it]
 69%|██████▊   | 1462/2134 [38:04<11:03,  1.01it/s]
                                                   

 69%|██████▊   | 1462/2134 [38:04<11:03,  1.01it/s]
 69%|██████▊   | 1463/2134 [38:05<10:51,  1.03it/s]
                                                   

 69%|██████▊   | 1463/2134 [38:05<10:51,  1.03it/s]
 69%|██████▊   | 1464/2134 [38:06<10:42,  1.04it/s]
                                                   

 69%|██████▊   | 1464/2134 [38:06<10:42,  1.04it/s]
 69%|██████▊   | 1465/2134 [38:07<10:37,  1.05it/s]
                                                   

 69%|██████▊   | 1465/2134 [38:07<10:37,  1.05it/s]
 69%|██████▊   | 1466/2134 [38:08<10:32,  1.06it/s]
                                                   

 69%|██████▊   | 1466/2134 [38:08<10:32,  1.06it/s]
 69%|██████▊   | 1467/2134 [38:09<10:29,  1.06it/s]
                                                   

 69%|██████▊   | 1467/2134 [38:09<10:29,  1.06it/s]
 69%|██████▉   | 1468/2134 [38:10<10:26,  1.06it/s]
                                                   

 69%|██████▉   | 1468/2134 [38:10<10:26,  1.06it/s]
 69%|██████▉   | 1469/2134 [38:11<10:24,  1.06it/s]
                                                   

 69%|██████▉   | 1469/2134 [38:11<10:24,  1.06it/s]
 69%|██████▉   | 1470/2134 [38:12<10:23,  1.07it/s]
                                                   

 69%|██████▉   | 1470/2134 [38:12<10:23,  1.07it/s]
 69%|██████▉   | 1471/2134 [38:12<10:21,  1.07it/s]
                                                   

 69%|██████▉   | 1471/2134 [38:12<10:21,  1.07it/s]
 69%|██████▉   | 1472/2134 [38:13<10:21,  1.06it/s]
                                                   

 69%|██████▉   | 1472/2134 [38:13<10:21,  1.06it/s]
 69%|██████▉   | 1473/2134 [38:14<10:19,  1.07it/s]
                                                   

 69%|██████▉   | 1473/2134 [38:14<10:19,  1.07it/s]
 69%|██████▉   | 1474/2134 [38:15<10:17,  1.07it/s]
                                                   

 69%|██████▉   | 1474/2134 [38:15<10:17,  1.07it/s]
 69%|██████▉   | 1475/2134 [38:30<55:02,  5.01s/it]
                                                   

 69%|██████▉   | 1475/2134 [38:30<55:02,  5.01s/it]
 69%|██████▉   | 1476/2134 [38:31<41:35,  3.79s/it]
                                                   

 69%|██████▉   | 1476/2134 [38:31<41:35,  3.79s/it]
 69%|██████▉   | 1477/2134 [38:32<32:08,  2.93s/it]
                                                   

 69%|██████▉   | 1477/2134 [38:32<32:08,  2.93s/it]
 69%|██████▉   | 1478/2134 [38:33<25:30,  2.33s/it]
                                                   

 69%|██████▉   | 1478/2134 [38:33<25:30,  2.33s/it]
 69%|██████▉   | 1479/2134 [38:34<20:53,  1.91s/it]
                                                   

 69%|██████▉   | 1479/2134 [38:34<20:53,  1.91s/it]
 69%|██████▉   | 1480/2134 [38:34<17:38,  1.62s/it]
                                                   

 69%|██████▉   | 1480/2134 [38:34<17:38,  1.62s/it]
 69%|██████▉   | 1481/2134 [38:35<15:26,  1.42s/it]
                                                   

 69%|██████▉   | 1481/2134 [38:35<15:26,  1.42s/it]
 69%|██████▉   | 1482/2134 [38:36<13:49,  1.27s/it]
                                                   

 69%|██████▉   | 1482/2134 [38:36<13:49,  1.27s/it]
 69%|██████▉   | 1483/2134 [38:37<12:41,  1.17s/it]
                                                   

 69%|██████▉   | 1483/2134 [38:37<12:41,  1.17s/it]
 70%|██████▉   | 1484/2134 [38:38<11:52,  1.10s/it]
                                                   

 70%|██████▉   | 1484/2134 [38:38<11:52,  1.10s/it]
 70%|██████▉   | 1485/2134 [38:39<11:17,  1.04s/it]
                                                   
{'loss': 0.0785, 'grad_norm': 0.33876797556877136, 'learning_rate': 7.183029107054761e-05, 'epoch': 0.66}
{'loss': 0.0849, 'grad_norm': 0.4454699456691742, 'learning_rate': 7.173162308830785e-05, 'epoch': 0.66}
{'loss': 0.063, 'grad_norm': 0.25170981884002686, 'learning_rate': 7.16329551060681e-05, 'epoch': 0.66}
{'loss': 0.0799, 'grad_norm': 0.3877538740634918, 'learning_rate': 7.153428712382833e-05, 'epoch': 0.66}
{'loss': 0.1095, 'grad_norm': 0.6255044341087341, 'learning_rate': 7.143561914158857e-05, 'epoch': 0.66}
{'loss': 0.075, 'grad_norm': 0.3878069221973419, 'learning_rate': 7.13369511593488e-05, 'epoch': 0.66}
{'loss': 0.0773, 'grad_norm': 0.37188974022865295, 'learning_rate': 7.123828317710904e-05, 'epoch': 0.66}
{'loss': 0.0821, 'grad_norm': 0.41620415449142456, 'learning_rate': 7.113961519486927e-05, 'epoch': 0.66}
{'loss': 0.1074, 'grad_norm': 0.4719291925430298, 'learning_rate': 7.104094721262951e-05, 'epoch': 0.66}
{'loss': 0.0725, 'grad_norm': 0.38569578528404236, 'learning_rate': 7.094227923038975e-05, 'epoch': 0.66}
{'loss': 0.0664, 'grad_norm': 0.40496760606765747, 'learning_rate': 7.084361124814998e-05, 'epoch': 0.66}
{'loss': 0.0909, 'grad_norm': 0.4057040512561798, 'learning_rate': 7.074494326591022e-05, 'epoch': 0.66}
{'loss': 0.0965, 'grad_norm': 0.47420209646224976, 'learning_rate': 7.064627528367045e-05, 'epoch': 0.66}
{'loss': 0.0803, 'grad_norm': 0.4515319764614105, 'learning_rate': 7.054760730143069e-05, 'epoch': 0.67}
{'loss': 0.0704, 'grad_norm': 0.36566898226737976, 'learning_rate': 7.044893931919092e-05, 'epoch': 0.67}
{'loss': 0.0732, 'grad_norm': 0.36161935329437256, 'learning_rate': 7.035027133695117e-05, 'epoch': 0.67}
{'loss': 0.0534, 'grad_norm': 0.20978419482707977, 'learning_rate': 7.025160335471141e-05, 'epoch': 0.67}
{'loss': 0.0806, 'grad_norm': 0.42485764622688293, 'learning_rate': 7.015293537247165e-05, 'epoch': 0.67}
{'loss': 0.0665, 'grad_norm': 0.31169593334198, 'learning_rate': 7.005426739023188e-05, 'epoch': 0.67}
{'loss': 0.0811, 'grad_norm': 0.40849569439888, 'learning_rate': 6.995559940799212e-05, 'epoch': 0.67}
{'loss': 0.077, 'grad_norm': 0.3648567795753479, 'learning_rate': 6.985693142575235e-05, 'epoch': 0.67}
{'loss': 0.0829, 'grad_norm': 0.4643249809741974, 'learning_rate': 6.975826344351259e-05, 'epoch': 0.67}
{'loss': 0.0716, 'grad_norm': 0.3713023066520691, 'learning_rate': 6.965959546127282e-05, 'epoch': 0.67}
{'loss': 0.0684, 'grad_norm': 0.29592129588127136, 'learning_rate': 6.956092747903306e-05, 'epoch': 0.67}
{'loss': 0.0657, 'grad_norm': 0.31467485427856445, 'learning_rate': 6.94622594967933e-05, 'epoch': 0.67}
{'loss': 0.0787, 'grad_norm': 0.47780317068099976, 'learning_rate': 6.936359151455353e-05, 'epoch': 0.67}
{'loss': 0.0853, 'grad_norm': 0.4449367821216583, 'learning_rate': 6.926492353231377e-05, 'epoch': 0.67}
{'loss': 0.0718, 'grad_norm': 0.3875000774860382, 'learning_rate': 6.9166255550074e-05, 'epoch': 0.67}
{'loss': 0.0789, 'grad_norm': 0.44663646817207336, 'learning_rate': 6.906758756783425e-05, 'epoch': 0.67}
{'loss': 0.083, 'grad_norm': 0.40053024888038635, 'learning_rate': 6.896891958559449e-05, 'epoch': 0.67}
{'loss': 0.0899, 'grad_norm': 0.47253909707069397, 'learning_rate': 6.887025160335472e-05, 'epoch': 0.67}
{'loss': 0.099, 'grad_norm': 0.5255314111709595, 'learning_rate': 6.877158362111496e-05, 'epoch': 0.67}
{'loss': 0.0779, 'grad_norm': 0.3487463593482971, 'learning_rate': 6.86729156388752e-05, 'epoch': 0.67}
{'loss': 0.0993, 'grad_norm': 0.3906248211860657, 'learning_rate': 6.857424765663543e-05, 'epoch': 0.67}
{'loss': 0.0584, 'grad_norm': 0.32253050804138184, 'learning_rate': 6.847557967439567e-05, 'epoch': 0.68}
{'loss': 0.0759, 'grad_norm': 0.4456489682197571, 'learning_rate': 6.83769116921559e-05, 'epoch': 0.68}
{'loss': 0.095, 'grad_norm': 0.4070972204208374, 'learning_rate': 6.827824370991614e-05, 'epoch': 0.68}
{'loss': 0.0849, 'grad_norm': 0.447657972574234, 'learning_rate': 6.817957572767637e-05, 'epoch': 0.68}
{'loss': 0.0924, 'grad_norm': 0.4163217842578888, 'learning_rate': 6.808090774543661e-05, 'epoch': 0.68}
{'loss': 0.072, 'grad_norm': 0.37036025524139404, 'learning_rate': 6.798223976319685e-05, 'epoch': 0.68}
{'loss': 0.091, 'grad_norm': 0.506691038608551, 'learning_rate': 6.788357178095708e-05, 'epoch': 0.68}
{'loss': 0.0986, 'grad_norm': 0.5175381302833557, 'learning_rate': 6.778490379871732e-05, 'epoch': 0.68}
{'loss': 0.0855, 'grad_norm': 0.5073168873786926, 'learning_rate': 6.768623581647757e-05, 'epoch': 0.68}
{'loss': 0.0772, 'grad_norm': 0.4199552536010742, 'learning_rate': 6.75875678342378e-05, 'epoch': 0.68}
{'loss': 0.0622, 'grad_norm': 0.3181420564651489, 'learning_rate': 6.748889985199804e-05, 'epoch': 0.68}
{'loss': 0.1084, 'grad_norm': 0.5881154537200928, 'learning_rate': 6.739023186975827e-05, 'epoch': 0.68}
{'loss': 0.0847, 'grad_norm': 0.38569533824920654, 'learning_rate': 6.729156388751851e-05, 'epoch': 0.68}
{'loss': 0.0819, 'grad_norm': 0.36489492654800415, 'learning_rate': 6.719289590527875e-05, 'epoch': 0.68}
{'loss': 0.059, 'grad_norm': 0.30625802278518677, 'learning_rate': 6.709422792303898e-05, 'epoch': 0.68}
{'loss': 0.0767, 'grad_norm': 0.5258871912956238, 'learning_rate': 6.699555994079922e-05, 'epoch': 0.68}
{'loss': 0.087, 'grad_norm': 0.3915103077888489, 'learning_rate': 6.689689195855945e-05, 'epoch': 0.68}
{'loss': 0.0691, 'grad_norm': 0.38123664259910583, 'learning_rate': 6.679822397631969e-05, 'epoch': 0.68}
{'loss': 0.0924, 'grad_norm': 0.4950964152812958, 'learning_rate': 6.669955599407992e-05, 'epoch': 0.68}
{'loss': 0.0735, 'grad_norm': 0.4111192226409912, 'learning_rate': 6.660088801184016e-05, 'epoch': 0.68}
{'loss': 0.0972, 'grad_norm': 0.46640029549598694, 'learning_rate': 6.65022200296004e-05, 'epoch': 0.68}
{'loss': 0.069, 'grad_norm': 0.2679072916507721, 'learning_rate': 6.640355204736065e-05, 'epoch': 0.69}
{'loss': 0.0891, 'grad_norm': 0.4653310775756836, 'learning_rate': 6.630488406512088e-05, 'epoch': 0.69}
{'loss': 0.0748, 'grad_norm': 0.35084763169288635, 'learning_rate': 6.620621608288112e-05, 'epoch': 0.69}
{'loss': 0.0628, 'grad_norm': 0.2866785228252411, 'learning_rate': 6.610754810064135e-05, 'epoch': 0.69}
{'loss': 0.0804, 'grad_norm': 0.4300841987133026, 'learning_rate': 6.600888011840159e-05, 'epoch': 0.69}
{'loss': 0.0695, 'grad_norm': 0.3328361511230469, 'learning_rate': 6.591021213616182e-05, 'epoch': 0.69}
{'loss': 0.0865, 'grad_norm': 0.4965592324733734, 'learning_rate': 6.581154415392206e-05, 'epoch': 0.69}
{'loss': 0.0652, 'grad_norm': 0.31468430161476135, 'learning_rate': 6.57128761716823e-05, 'epoch': 0.69}
{'loss': 0.0751, 'grad_norm': 0.4411613345146179, 'learning_rate': 6.561420818944253e-05, 'epoch': 0.69}
{'loss': 0.0714, 'grad_norm': 0.3533056974411011, 'learning_rate': 6.551554020720277e-05, 'epoch': 0.69}
{'loss': 0.0755, 'grad_norm': 0.41814371943473816, 'learning_rate': 6.5416872224963e-05, 'epoch': 0.69}
{'loss': 0.0796, 'grad_norm': 0.43464913964271545, 'learning_rate': 6.531820424272324e-05, 'epoch': 0.69}
{'loss': 0.072, 'grad_norm': 0.3277007043361664, 'learning_rate': 6.521953626048347e-05, 'epoch': 0.69}
{'loss': 0.0979, 'grad_norm': 0.46725326776504517, 'learning_rate': 6.512086827824372e-05, 'epoch': 0.69}
{'loss': 0.0498, 'grad_norm': 0.2955866754055023, 'learning_rate': 6.502220029600396e-05, 'epoch': 0.69}
{'loss': 0.0665, 'grad_norm': 0.3552832007408142, 'learning_rate': 6.49235323137642e-05, 'epoch': 0.69}
{'loss': 0.0773, 'grad_norm': 0.3264770209789276, 'learning_rate': 6.482486433152443e-05, 'epoch': 0.69}
{'loss': 0.0582, 'grad_norm': 0.3423710763454437, 'learning_rate': 6.472619634928467e-05, 'epoch': 0.69}
{'loss': 0.0679, 'grad_norm': 0.3423406481742859, 'learning_rate': 6.46275283670449e-05, 'epoch': 0.69}
{'loss': 0.0821, 'grad_norm': 0.43174219131469727, 'learning_rate': 6.452886038480514e-05, 'epoch': 0.69}
{'loss': 0.1, 'grad_norm': 0.5614908933639526, 'learning_rate': 6.443019240256537e-05, 'epoch': 0.69}
{'loss': 0.0801, 'grad_norm': 0.4365166127681732, 'learning_rate': 6.433152442032561e-05, 'epoch': 0.69}
{'loss': 0.0715, 'grad_norm': 0.43709874153137207, 'learning_rate': 6.423285643808585e-05, 'epoch': 0.7}
{'loss': 0.0915, 'grad_norm': 0.568840742111206, 'learning_rate': 6.413418845584608e-05, 'epoch': 0.7}
 70%|██████▉   | 1485/2134 [38:39<11:17,  1.04s/it]
 70%|██████▉   | 1486/2134 [38:40<10:53,  1.01s/it]
                                                   

 70%|██████▉   | 1486/2134 [38:40<10:53,  1.01s/it]
 70%|██████▉   | 1487/2134 [38:41<10:36,  1.02it/s]
                                                   

 70%|██████▉   | 1487/2134 [38:41<10:36,  1.02it/s]
 70%|██████▉   | 1488/2134 [38:42<10:25,  1.03it/s]
                                                   

 70%|██████▉   | 1488/2134 [38:42<10:25,  1.03it/s]
 70%|██████▉   | 1489/2134 [38:43<10:17,  1.04it/s]
                                                   

 70%|██████▉   | 1489/2134 [38:43<10:17,  1.04it/s]
 70%|██████▉   | 1490/2134 [38:44<10:10,  1.06it/s]
                                                   

 70%|██████▉   | 1490/2134 [38:44<10:10,  1.06it/s]
 70%|██████▉   | 1491/2134 [38:45<10:05,  1.06it/s]
                                                   

 70%|██████▉   | 1491/2134 [38:45<10:05,  1.06it/s]
 70%|██████▉   | 1492/2134 [38:46<10:01,  1.07it/s]
                                                   

 70%|██████▉   | 1492/2134 [38:46<10:01,  1.07it/s]
 70%|██████▉   | 1493/2134 [38:47<09:59,  1.07it/s]
                                                   

 70%|██████▉   | 1493/2134 [38:47<09:59,  1.07it/s]
 70%|███████   | 1494/2134 [38:47<09:57,  1.07it/s]
                                                   

 70%|███████   | 1494/2134 [38:47<09:57,  1.07it/s]
 70%|███████   | 1495/2134 [38:48<09:56,  1.07it/s]
                                                   

 70%|███████   | 1495/2134 [38:48<09:56,  1.07it/s]
 70%|███████   | 1496/2134 [38:49<09:54,  1.07it/s]
                                                   

 70%|███████   | 1496/2134 [38:49<09:54,  1.07it/s]
 70%|███████   | 1497/2134 [38:50<09:54,  1.07it/s]
                                                   

 70%|███████   | 1497/2134 [38:50<09:54,  1.07it/s]
 70%|███████   | 1498/2134 [38:51<09:54,  1.07it/s]
                                                   

 70%|███████   | 1498/2134 [38:51<09:54,  1.07it/s]
 70%|███████   | 1499/2134 [38:52<09:53,  1.07it/s]
                                                   

 70%|███████   | 1499/2134 [38:52<09:53,  1.07it/s]
 70%|███████   | 1500/2134 [39:06<51:57,  4.92s/it]
                                                   

 70%|███████   | 1500/2134 [39:06<51:57,  4.92s/it]
 70%|███████   | 1501/2134 [39:10<49:14,  4.67s/it]
                                                   

 70%|███████   | 1501/2134 [39:10<49:14,  4.67s/it]
 70%|███████   | 1502/2134 [39:11<37:21,  3.55s/it]
                                                   

 70%|███████   | 1502/2134 [39:11<37:21,  3.55s/it]
 70%|███████   | 1503/2134 [39:12<29:03,  2.76s/it]
                                                   

 70%|███████   | 1503/2134 [39:12<29:03,  2.76s/it]
 70%|███████   | 1504/2134 [39:13<23:14,  2.21s/it]
                                                   

 70%|███████   | 1504/2134 [39:13<23:14,  2.21s/it]
 71%|███████   | 1505/2134 [39:14<19:11,  1.83s/it]
                                                   

 71%|███████   | 1505/2134 [39:14<19:11,  1.83s/it]
 71%|███████   | 1506/2134 [39:15<16:19,  1.56s/it]
                                                   

 71%|███████   | 1506/2134 [39:15<16:19,  1.56s/it]
 71%|███████   | 1507/2134 [39:16<14:18,  1.37s/it]
                                                   

 71%|███████   | 1507/2134 [39:16<14:18,  1.37s/it]
 71%|███████   | 1508/2134 [39:17<12:53,  1.24s/it]
                                                   

 71%|███████   | 1508/2134 [39:17<12:53,  1.24s/it]
 71%|███████   | 1509/2134 [39:18<11:54,  1.14s/it]
                                                   

 71%|███████   | 1509/2134 [39:18<11:54,  1.14s/it]
 71%|███████   | 1510/2134 [39:19<11:12,  1.08s/it]
                                                   

 71%|███████   | 1510/2134 [39:19<11:12,  1.08s/it]
 71%|███████   | 1511/2134 [39:20<10:54,  1.05s/it]
                                                   

 71%|███████   | 1511/2134 [39:20<10:54,  1.05s/it]
 71%|███████   | 1512/2134 [39:21<10:30,  1.01s/it]
                                                   

 71%|███████   | 1512/2134 [39:21<10:30,  1.01s/it]
 71%|███████   | 1513/2134 [39:22<10:13,  1.01it/s]
                                                   

 71%|███████   | 1513/2134 [39:22<10:13,  1.01it/s]
 71%|███████   | 1514/2134 [39:23<10:00,  1.03it/s]
                                                   

 71%|███████   | 1514/2134 [39:23<10:00,  1.03it/s]
 71%|███████   | 1515/2134 [39:24<09:51,  1.05it/s]
                                                   

 71%|███████   | 1515/2134 [39:24<09:51,  1.05it/s]
 71%|███████   | 1516/2134 [39:24<09:45,  1.06it/s]
                                                   

 71%|███████   | 1516/2134 [39:24<09:45,  1.06it/s]
 71%|███████   | 1517/2134 [39:25<09:40,  1.06it/s]
                                                   

 71%|███████   | 1517/2134 [39:25<09:40,  1.06it/s]
 71%|███████   | 1518/2134 [39:26<09:36,  1.07it/s]
                                                   

 71%|███████   | 1518/2134 [39:26<09:36,  1.07it/s]
 71%|███████   | 1519/2134 [39:27<09:33,  1.07it/s]
                                                   

 71%|███████   | 1519/2134 [39:27<09:33,  1.07it/s]
 71%|███████   | 1520/2134 [39:28<09:30,  1.08it/s]
                                                   

 71%|███████   | 1520/2134 [39:28<09:30,  1.08it/s]
 71%|███████▏  | 1521/2134 [39:29<09:29,  1.08it/s]
                                                   

 71%|███████▏  | 1521/2134 [39:29<09:29,  1.08it/s]
 71%|███████▏  | 1522/2134 [39:30<09:27,  1.08it/s]
                                                   

 71%|███████▏  | 1522/2134 [39:30<09:27,  1.08it/s]
 71%|███████▏  | 1523/2134 [39:31<09:26,  1.08it/s]
                                                   

 71%|███████▏  | 1523/2134 [39:31<09:26,  1.08it/s]
 71%|███████▏  | 1524/2134 [39:32<09:25,  1.08it/s]
                                                   

 71%|███████▏  | 1524/2134 [39:32<09:25,  1.08it/s]
 71%|███████▏  | 1525/2134 [39:46<49:15,  4.85s/it]
                                                   

 71%|███████▏  | 1525/2134 [39:46<49:15,  4.85s/it]
 72%|███████▏  | 1526/2134 [39:47<37:15,  3.68s/it]
                                                   

 72%|███████▏  | 1526/2134 [39:47<37:15,  3.68s/it]
 72%|███████▏  | 1527/2134 [39:48<28:50,  2.85s/it]
                                                   

 72%|███████▏  | 1527/2134 [39:48<28:50,  2.85s/it]
 72%|███████▏  | 1528/2134 [39:49<22:58,  2.27s/it]
                                                   

 72%|███████▏  | 1528/2134 [39:49<22:58,  2.27s/it]
 72%|███████▏  | 1529/2134 [39:50<18:51,  1.87s/it]
                                                   

 72%|███████▏  | 1529/2134 [39:50<18:51,  1.87s/it]
 72%|███████▏  | 1530/2134 [39:50<15:58,  1.59s/it]
                                                   

 72%|███████▏  | 1530/2134 [39:50<15:58,  1.59s/it]
 72%|███████▏  | 1531/2134 [39:51<13:58,  1.39s/it]
                                                   

 72%|███████▏  | 1531/2134 [39:51<13:58,  1.39s/it]
 72%|███████▏  | 1532/2134 [39:52<12:33,  1.25s/it]
                                                   

 72%|███████▏  | 1532/2134 [39:52<12:33,  1.25s/it]
 72%|███████▏  | 1533/2134 [39:53<11:33,  1.15s/it]
                                                   

 72%|███████▏  | 1533/2134 [39:53<11:33,  1.15s/it]
 72%|███████▏  | 1534/2134 [39:54<10:50,  1.08s/it]
                                                   

 72%|███████▏  | 1534/2134 [39:54<10:50,  1.08s/it]
 72%|███████▏  | 1535/2134 [39:55<10:20,  1.04s/it]
                                                   

 72%|███████▏  | 1535/2134 [39:55<10:20,  1.04s/it]
 72%|███████▏  | 1536/2134 [39:56<09:59,  1.00s/it]
                                                   

 72%|███████▏  | 1536/2134 [39:56<09:59,  1.00s/it]
 72%|███████▏  | 1537/2134 [39:57<09:44,  1.02it/s]
                                                   

 72%|███████▏  | 1537/2134 [39:57<09:44,  1.02it/s]
 72%|███████▏  | 1538/2134 [39:58<09:35,  1.04it/s]
                                                   

 72%|███████▏  | 1538/2134 [39:58<09:35,  1.04it/s]
 72%|███████▏  | 1539/2134 [39:59<09:27,  1.05it/s]
                                                   

 72%|███████▏  | 1539/2134 [39:59<09:27,  1.05it/s]
 72%|███████▏  | 1540/2134 [40:00<09:20,  1.06it/s]
                                                   

 72%|███████▏  | 1540/2134 [40:00<09:20,  1.06it/s]
 72%|███████▏  | 1541/2134 [40:01<09:16,  1.07it/s]
                                                   

 72%|███████▏  | 1541/2134 [40:01<09:16,  1.07it/s]
 72%|███████▏  | 1542/2134 [40:02<09:17,  1.06it/s]
                                                   

 72%|███████▏  | 1542/2134 [40:02<09:17,  1.06it/s]
 72%|███████▏  | 1543/2134 [40:03<09:12,  1.07it/s]
                                                   

 72%|███████▏  | 1543/2134 [40:03<09:12,  1.07it/s]
 72%|███████▏  | 1544/2134 [40:03<09:08,  1.07it/s]
                                                   

 72%|███████▏  | 1544/2134 [40:03<09:08,  1.07it/s]
 72%|███████▏  | 1545/2134 [40:04<09:07,  1.08it/s]
                                                   

 72%|███████▏  | 1545/2134 [40:04<09:07,  1.08it/s]
 72%|███████▏  | 1546/2134 [40:05<09:06,  1.08it/s]
                                                   

 72%|███████▏  | 1546/2134 [40:05<09:06,  1.08it/s]
 72%|███████▏  | 1547/2134 [40:06<09:03,  1.08it/s]
                                                   

 72%|███████▏  | 1547/2134 [40:06<09:03,  1.08it/s]
 73%|███████▎  | 1548/2134 [40:07<09:02,  1.08it/s]
                                                   

 73%|███████▎  | 1548/2134 [40:07<09:02,  1.08it/s]
 73%|███████▎  | 1549/2134 [40:08<09:00,  1.08it/s]
                                                   

 73%|███████▎  | 1549/2134 [40:08<09:00,  1.08it/s]
 73%|███████▎  | 1550/2134 [40:22<48:02,  4.94s/it]
                                                   

 73%|███████▎  | 1550/2134 [40:22<48:02,  4.94s/it]
 73%|███████▎  | 1551/2134 [40:23<36:17,  3.74s/it]
                                                   

 73%|███████▎  | 1551/2134 [40:23<36:17,  3.74s/it]
 73%|███████▎  | 1552/2134 [40:24<28:02,  2.89s/it]
                                                   

 73%|███████▎  | 1552/2134 [40:24<28:02,  2.89s/it]
 73%|███████▎  | 1553/2134 [40:25<22:16,  2.30s/it]
                                                   

 73%|███████▎  | 1553/2134 [40:25<22:16,  2.30s/it]
 73%|███████▎  | 1554/2134 [40:26<18:15,  1.89s/it]
                                                   

 73%|███████▎  | 1554/2134 [40:26<18:15,  1.89s/it]
 73%|███████▎  | 1555/2134 [40:27<15:28,  1.60s/it]
                                                   

 73%|███████▎  | 1555/2134 [40:27<15:28,  1.60s/it]
 73%|███████▎  | 1556/2134 [40:28<13:30,  1.40s/it]
                                                   

 73%|███████▎  | 1556/2134 [40:28<13:30,  1.40s/it]
 73%|███████▎  | 1557/2134 [40:29<12:07,  1.26s/it]
                                                   

 73%|███████▎  | 1557/2134 [40:29<12:07,  1.26s/it]
 73%|███████▎  | 1558/2134 [40:30<11:09,  1.16s/it]
                                                   

 73%|███████▎  | 1558/2134 [40:30<11:09,  1.16s/it]
 73%|███████▎  | 1559/2134 [40:31<10:29,  1.09s/it]
                                                   

 73%|███████▎  | 1559/2134 [40:31<10:29,  1.09s/it]
 73%|███████▎  | 1560/2134 [40:32<10:00,  1.05s/it]
                                                   

 73%|███████▎  | 1560/2134 [40:32<10:00,  1.05s/it]
 73%|███████▎  | 1561/2134 [40:33<09:39,  1.01s/it]
                                                   

 73%|███████▎  | 1561/2134 [40:33<09:39,  1.01s/it]
 73%|███████▎  | 1562/2134 [40:34<09:25,  1.01it/s]
                                                   

 73%|███████▎  | 1562/2134 [40:34<09:25,  1.01it/s]
 73%|███████▎  | 1563/2134 [40:34<09:14,  1.03it/s]
                                                   
{'loss': 0.0855, 'grad_norm': 0.4288139343261719, 'learning_rate': 6.403552047360632e-05, 'epoch': 0.7}
{'loss': 0.0685, 'grad_norm': 0.41798412799835205, 'learning_rate': 6.393685249136655e-05, 'epoch': 0.7}
{'loss': 0.0839, 'grad_norm': 0.5239132046699524, 'learning_rate': 6.383818450912679e-05, 'epoch': 0.7}
{'loss': 0.0594, 'grad_norm': 0.36882343888282776, 'learning_rate': 6.373951652688704e-05, 'epoch': 0.7}
{'loss': 0.0836, 'grad_norm': 0.3758808970451355, 'learning_rate': 6.364084854464727e-05, 'epoch': 0.7}
{'loss': 0.0895, 'grad_norm': 0.4801173508167267, 'learning_rate': 6.354218056240751e-05, 'epoch': 0.7}
{'loss': 0.085, 'grad_norm': 0.44124069809913635, 'learning_rate': 6.344351258016775e-05, 'epoch': 0.7}
{'loss': 0.0897, 'grad_norm': 0.38662073016166687, 'learning_rate': 6.334484459792798e-05, 'epoch': 0.7}
{'loss': 0.1204, 'grad_norm': 0.5460118055343628, 'learning_rate': 6.324617661568822e-05, 'epoch': 0.7}
{'loss': 0.098, 'grad_norm': 0.49821195006370544, 'learning_rate': 6.314750863344845e-05, 'epoch': 0.7}
{'loss': 0.0978, 'grad_norm': 0.4775260388851166, 'learning_rate': 6.304884065120869e-05, 'epoch': 0.7}
{'loss': 0.0724, 'grad_norm': 0.3685532212257385, 'learning_rate': 6.295017266896892e-05, 'epoch': 0.7}
{'loss': 0.0675, 'grad_norm': 0.32587531208992004, 'learning_rate': 6.285150468672916e-05, 'epoch': 0.7}
{'loss': 0.084, 'grad_norm': 0.4473682641983032, 'learning_rate': 6.27528367044894e-05, 'epoch': 0.7}
{'loss': 0.0851, 'grad_norm': 0.3828431963920593, 'learning_rate': 6.265416872224963e-05, 'epoch': 0.7}
{'loss': 0.0952, 'grad_norm': 0.3802875280380249, 'learning_rate': 6.255550074000987e-05, 'epoch': 0.7}
{'loss': 0.0853, 'grad_norm': 0.3978365957736969, 'learning_rate': 6.245683275777012e-05, 'epoch': 0.7}
{'loss': 0.1034, 'grad_norm': 0.48457542061805725, 'learning_rate': 6.235816477553035e-05, 'epoch': 0.7}
{'loss': 0.0896, 'grad_norm': 0.4100434184074402, 'learning_rate': 6.225949679329059e-05, 'epoch': 0.7}
{'loss': 0.1059, 'grad_norm': 0.5587238073348999, 'learning_rate': 6.216082881105082e-05, 'epoch': 0.71}
{'loss': 0.0688, 'grad_norm': 0.32182300090789795, 'learning_rate': 6.206216082881106e-05, 'epoch': 0.71}
{'loss': 0.0696, 'grad_norm': 0.34795624017715454, 'learning_rate': 6.19634928465713e-05, 'epoch': 0.71}
{'loss': 0.0664, 'grad_norm': 0.3671044111251831, 'learning_rate': 6.186482486433153e-05, 'epoch': 0.71}
{'loss': 0.0713, 'grad_norm': 0.32732483744621277, 'learning_rate': 6.176615688209177e-05, 'epoch': 0.71}
{'loss': 0.0745, 'grad_norm': 0.38196536898612976, 'learning_rate': 6.1667488899852e-05, 'epoch': 0.71}
{'loss': 0.0915, 'grad_norm': 0.4311457872390747, 'learning_rate': 6.156882091761224e-05, 'epoch': 0.71}
{'loss': 0.0705, 'grad_norm': 0.38673022389411926, 'learning_rate': 6.147015293537247e-05, 'epoch': 0.71}
{'loss': 0.0694, 'grad_norm': 0.32527679204940796, 'learning_rate': 6.137148495313271e-05, 'epoch': 0.71}
{'loss': 0.0745, 'grad_norm': 0.3789898753166199, 'learning_rate': 6.127281697089295e-05, 'epoch': 0.71}
{'loss': 0.0832, 'grad_norm': 0.3604680001735687, 'learning_rate': 6.11741489886532e-05, 'epoch': 0.71}
{'loss': 0.0598, 'grad_norm': 0.2711504399776459, 'learning_rate': 6.107548100641343e-05, 'epoch': 0.71}
{'loss': 0.0871, 'grad_norm': 0.5044695138931274, 'learning_rate': 6.097681302417366e-05, 'epoch': 0.71}
{'loss': 0.0634, 'grad_norm': 0.26728108525276184, 'learning_rate': 6.0878145041933896e-05, 'epoch': 0.71}
{'loss': 0.0779, 'grad_norm': 0.3450163006782532, 'learning_rate': 6.077947705969413e-05, 'epoch': 0.71}
{'loss': 0.0723, 'grad_norm': 0.3800184726715088, 'learning_rate': 6.068080907745437e-05, 'epoch': 0.71}
{'loss': 0.0606, 'grad_norm': 0.3261403441429138, 'learning_rate': 6.0582141095214604e-05, 'epoch': 0.71}
{'loss': 0.0635, 'grad_norm': 0.30913427472114563, 'learning_rate': 6.048347311297484e-05, 'epoch': 0.71}
{'loss': 0.0884, 'grad_norm': 0.4121862053871155, 'learning_rate': 6.0384805130735075e-05, 'epoch': 0.71}
{'loss': 0.0655, 'grad_norm': 0.37022703886032104, 'learning_rate': 6.028613714849531e-05, 'epoch': 0.71}
{'loss': 0.0777, 'grad_norm': 0.4226929843425751, 'learning_rate': 6.018746916625555e-05, 'epoch': 0.71}
{'loss': 0.0658, 'grad_norm': 0.35899245738983154, 'learning_rate': 6.008880118401579e-05, 'epoch': 0.72}
{'loss': 0.0723, 'grad_norm': 0.33529654145240784, 'learning_rate': 5.9990133201776025e-05, 'epoch': 0.72}
{'loss': 0.0745, 'grad_norm': 0.3545677363872528, 'learning_rate': 5.989146521953626e-05, 'epoch': 0.72}
{'loss': 0.0866, 'grad_norm': 0.4994077980518341, 'learning_rate': 5.9792797237296503e-05, 'epoch': 0.72}
{'loss': 0.0731, 'grad_norm': 0.3593398332595825, 'learning_rate': 5.969412925505674e-05, 'epoch': 0.72}
{'loss': 0.0779, 'grad_norm': 0.3831985294818878, 'learning_rate': 5.9595461272816975e-05, 'epoch': 0.72}
{'loss': 0.065, 'grad_norm': 0.29255789518356323, 'learning_rate': 5.949679329057721e-05, 'epoch': 0.72}
{'loss': 0.0689, 'grad_norm': 0.3509804904460907, 'learning_rate': 5.9398125308337447e-05, 'epoch': 0.72}
{'loss': 0.076, 'grad_norm': 0.40303099155426025, 'learning_rate': 5.929945732609768e-05, 'epoch': 0.72}
{'loss': 0.0746, 'grad_norm': 0.41550830006599426, 'learning_rate': 5.920078934385792e-05, 'epoch': 0.72}
{'loss': 0.0803, 'grad_norm': 0.47630825638771057, 'learning_rate': 5.9102121361618154e-05, 'epoch': 0.72}
{'loss': 0.0679, 'grad_norm': 0.42247143387794495, 'learning_rate': 5.900345337937839e-05, 'epoch': 0.72}
{'loss': 0.0512, 'grad_norm': 0.22131118178367615, 'learning_rate': 5.8904785397138625e-05, 'epoch': 0.72}
{'loss': 0.0785, 'grad_norm': 0.3532470464706421, 'learning_rate': 5.880611741489887e-05, 'epoch': 0.72}
{'loss': 0.0613, 'grad_norm': 0.31360071897506714, 'learning_rate': 5.8707449432659104e-05, 'epoch': 0.72}
{'loss': 0.0563, 'grad_norm': 0.24960027635097504, 'learning_rate': 5.860878145041934e-05, 'epoch': 0.72}
{'loss': 0.0595, 'grad_norm': 0.2791271507740021, 'learning_rate': 5.851011346817958e-05, 'epoch': 0.72}
{'loss': 0.0731, 'grad_norm': 0.48083293437957764, 'learning_rate': 5.841144548593982e-05, 'epoch': 0.72}
{'loss': 0.072, 'grad_norm': 0.3505356013774872, 'learning_rate': 5.8312777503700054e-05, 'epoch': 0.72}
{'loss': 0.074, 'grad_norm': 0.3746780455112457, 'learning_rate': 5.821410952146029e-05, 'epoch': 0.72}
{'loss': 0.0761, 'grad_norm': 0.4587757885456085, 'learning_rate': 5.8115441539220525e-05, 'epoch': 0.72}
{'loss': 0.0712, 'grad_norm': 0.37256351113319397, 'learning_rate': 5.801677355698076e-05, 'epoch': 0.72}
{'loss': 0.0606, 'grad_norm': 0.2913192808628082, 'learning_rate': 5.7918105574741e-05, 'epoch': 0.73}
{'loss': 0.0561, 'grad_norm': 0.3082282543182373, 'learning_rate': 5.781943759250123e-05, 'epoch': 0.73}
{'loss': 0.0617, 'grad_norm': 0.3562714159488678, 'learning_rate': 5.772076961026147e-05, 'epoch': 0.73}
{'loss': 0.0746, 'grad_norm': 0.42282572388648987, 'learning_rate': 5.7622101628021704e-05, 'epoch': 0.73}
{'loss': 0.0833, 'grad_norm': 0.4488542377948761, 'learning_rate': 5.7523433645781947e-05, 'epoch': 0.73}
{'loss': 0.0703, 'grad_norm': 0.42312803864479065, 'learning_rate': 5.742476566354218e-05, 'epoch': 0.73}
{'loss': 0.0754, 'grad_norm': 0.3691239655017853, 'learning_rate': 5.732609768130242e-05, 'epoch': 0.73}
{'loss': 0.0547, 'grad_norm': 0.29679617285728455, 'learning_rate': 5.722742969906266e-05, 'epoch': 0.73}
{'loss': 0.0677, 'grad_norm': 0.3338381052017212, 'learning_rate': 5.7128761716822896e-05, 'epoch': 0.73}
{'loss': 0.0641, 'grad_norm': 0.3510936498641968, 'learning_rate': 5.703009373458313e-05, 'epoch': 0.73}
{'loss': 0.0737, 'grad_norm': 0.41095754504203796, 'learning_rate': 5.693142575234337e-05, 'epoch': 0.73}
{'loss': 0.0852, 'grad_norm': 0.4557953476905823, 'learning_rate': 5.6832757770103604e-05, 'epoch': 0.73}
{'loss': 0.0751, 'grad_norm': 0.3916693329811096, 'learning_rate': 5.673408978786384e-05, 'epoch': 0.73}
{'loss': 0.0718, 'grad_norm': 0.46953660249710083, 'learning_rate': 5.6635421805624075e-05, 'epoch': 0.73}
{'loss': 0.056, 'grad_norm': 0.28993692994117737, 'learning_rate': 5.653675382338431e-05, 'epoch': 0.73}
{'loss': 0.0727, 'grad_norm': 0.46981140971183777, 'learning_rate': 5.643808584114455e-05, 'epoch': 0.73}
 73%|███████▎  | 1563/2134 [40:34<09:14,  1.03it/s]
 73%|███████▎  | 1564/2134 [40:35<09:06,  1.04it/s]
                                                   

 73%|███████▎  | 1564/2134 [40:35<09:06,  1.04it/s]
 73%|███████▎  | 1565/2134 [40:36<08:59,  1.05it/s]
                                                   

 73%|███████▎  | 1565/2134 [40:36<08:59,  1.05it/s]
 73%|███████▎  | 1566/2134 [40:37<08:56,  1.06it/s]
                                                   

 73%|███████▎  | 1566/2134 [40:37<08:56,  1.06it/s]
 73%|███████▎  | 1567/2134 [40:38<08:52,  1.06it/s]
                                                   

 73%|███████▎  | 1567/2134 [40:38<08:52,  1.06it/s]
 73%|███████▎  | 1568/2134 [40:39<08:49,  1.07it/s]
                                                   

 73%|███████▎  | 1568/2134 [40:39<08:49,  1.07it/s]
 74%|███████▎  | 1569/2134 [40:40<08:46,  1.07it/s]
                                                   

 74%|███████▎  | 1569/2134 [40:40<08:46,  1.07it/s]
 74%|███████▎  | 1570/2134 [40:41<08:44,  1.08it/s]
                                                   

 74%|███████▎  | 1570/2134 [40:41<08:44,  1.08it/s]
 74%|███████▎  | 1571/2134 [40:42<08:42,  1.08it/s]
                                                   

 74%|███████▎  | 1571/2134 [40:42<08:42,  1.08it/s]
 74%|███████▎  | 1572/2134 [40:43<08:41,  1.08it/s]
                                                   

 74%|███████▎  | 1572/2134 [40:43<08:41,  1.08it/s]
 74%|███████▎  | 1573/2134 [40:44<08:42,  1.07it/s]
                                                   

 74%|███████▎  | 1573/2134 [40:44<08:42,  1.07it/s]
 74%|███████▍  | 1574/2134 [40:45<08:40,  1.08it/s]
                                                   

 74%|███████▍  | 1574/2134 [40:45<08:40,  1.08it/s]
 74%|███████▍  | 1575/2134 [40:59<44:56,  4.82s/it]
                                                   

 74%|███████▍  | 1575/2134 [40:59<44:56,  4.82s/it]
 74%|███████▍  | 1576/2134 [41:00<34:00,  3.66s/it]
                                                   

 74%|███████▍  | 1576/2134 [41:00<34:00,  3.66s/it]
 74%|███████▍  | 1577/2134 [41:00<26:19,  2.84s/it]
                                                   

 74%|███████▍  | 1577/2134 [41:00<26:19,  2.84s/it]
 74%|███████▍  | 1578/2134 [41:01<20:57,  2.26s/it]
                                                   

 74%|███████▍  | 1578/2134 [41:01<20:57,  2.26s/it]
 74%|███████▍  | 1579/2134 [41:02<17:11,  1.86s/it]
                                                   

 74%|███████▍  | 1579/2134 [41:02<17:11,  1.86s/it]
 74%|███████▍  | 1580/2134 [41:03<14:33,  1.58s/it]
                                                   

 74%|███████▍  | 1580/2134 [41:03<14:33,  1.58s/it]
 74%|███████▍  | 1581/2134 [41:04<12:42,  1.38s/it]
                                                   

 74%|███████▍  | 1581/2134 [41:04<12:42,  1.38s/it]
 74%|███████▍  | 1582/2134 [41:05<11:25,  1.24s/it]
                                                   

 74%|███████▍  | 1582/2134 [41:05<11:25,  1.24s/it]
 74%|███████▍  | 1583/2134 [41:06<10:31,  1.15s/it]
                                                   

 74%|███████▍  | 1583/2134 [41:06<10:31,  1.15s/it]
 74%|███████▍  | 1584/2134 [41:07<09:52,  1.08s/it]
                                                   

 74%|███████▍  | 1584/2134 [41:07<09:52,  1.08s/it]
 74%|███████▍  | 1585/2134 [41:08<09:26,  1.03s/it]
                                                   

 74%|███████▍  | 1585/2134 [41:08<09:26,  1.03s/it]
 74%|███████▍  | 1586/2134 [41:09<09:07,  1.00it/s]
                                                   

 74%|███████▍  | 1586/2134 [41:09<09:07,  1.00it/s]
 74%|███████▍  | 1587/2134 [41:10<08:53,  1.02it/s]
                                                   

 74%|███████▍  | 1587/2134 [41:10<08:53,  1.02it/s]
 74%|███████▍  | 1588/2134 [41:11<08:43,  1.04it/s]
                                                   

 74%|███████▍  | 1588/2134 [41:11<08:43,  1.04it/s]
 74%|███████▍  | 1589/2134 [41:12<08:36,  1.06it/s]
                                                   

 74%|███████▍  | 1589/2134 [41:12<08:36,  1.06it/s]
 75%|███████▍  | 1590/2134 [41:12<08:34,  1.06it/s]
                                                   

 75%|███████▍  | 1590/2134 [41:12<08:34,  1.06it/s]
 75%|███████▍  | 1591/2134 [41:13<08:30,  1.06it/s]
                                                   

 75%|███████▍  | 1591/2134 [41:13<08:30,  1.06it/s]
 75%|███████▍  | 1592/2134 [41:14<08:27,  1.07it/s]
                                                   

 75%|███████▍  | 1592/2134 [41:14<08:27,  1.07it/s]
 75%|███████▍  | 1593/2134 [41:15<08:24,  1.07it/s]
                                                   

 75%|███████▍  | 1593/2134 [41:15<08:24,  1.07it/s]
 75%|███████▍  | 1594/2134 [41:16<08:22,  1.07it/s]
                                                   

 75%|███████▍  | 1594/2134 [41:16<08:22,  1.07it/s]
 75%|███████▍  | 1595/2134 [41:17<08:20,  1.08it/s]
                                                   

 75%|███████▍  | 1595/2134 [41:17<08:20,  1.08it/s]
 75%|███████▍  | 1596/2134 [41:18<08:18,  1.08it/s]
                                                   

 75%|███████▍  | 1596/2134 [41:18<08:18,  1.08it/s]
 75%|███████▍  | 1597/2134 [41:19<08:16,  1.08it/s]
                                                   

 75%|███████▍  | 1597/2134 [41:19<08:16,  1.08it/s]
 75%|███████▍  | 1598/2134 [41:20<08:15,  1.08it/s]
                                                   

 75%|███████▍  | 1598/2134 [41:20<08:15,  1.08it/s]
 75%|███████▍  | 1599/2134 [41:21<08:13,  1.08it/s]
                                                   

 75%|███████▍  | 1599/2134 [41:21<08:13,  1.08it/s]
 75%|███████▍  | 1600/2134 [41:35<42:33,  4.78s/it]
                                                   

 75%|███████▍  | 1600/2134 [41:35<42:33,  4.78s/it]
 75%|███████▌  | 1601/2134 [41:36<32:18,  3.64s/it]
                                                   

 75%|███████▌  | 1601/2134 [41:36<32:18,  3.64s/it]
 75%|███████▌  | 1602/2134 [41:36<25:03,  2.83s/it]
                                                   

 75%|███████▌  | 1602/2134 [41:36<25:03,  2.83s/it]
 75%|███████▌  | 1603/2134 [41:37<20:03,  2.27s/it]
                                                   

 75%|███████▌  | 1603/2134 [41:37<20:03,  2.27s/it]
 75%|███████▌  | 1604/2134 [41:38<16:31,  1.87s/it]
                                                   

 75%|███████▌  | 1604/2134 [41:38<16:31,  1.87s/it]
 75%|███████▌  | 1605/2134 [41:39<14:07,  1.60s/it]
                                                   

 75%|███████▌  | 1605/2134 [41:39<14:07,  1.60s/it]
 75%|███████▌  | 1606/2134 [41:40<12:18,  1.40s/it]
                                                   

 75%|███████▌  | 1606/2134 [41:40<12:18,  1.40s/it]
 75%|███████▌  | 1607/2134 [41:41<11:02,  1.26s/it]
                                                   

 75%|███████▌  | 1607/2134 [41:41<11:02,  1.26s/it]
 75%|███████▌  | 1608/2134 [41:42<10:08,  1.16s/it]
                                                   

 75%|███████▌  | 1608/2134 [41:42<10:08,  1.16s/it]
 75%|███████▌  | 1609/2134 [41:43<09:31,  1.09s/it]
                                                   

 75%|███████▌  | 1609/2134 [41:43<09:31,  1.09s/it]
 75%|███████▌  | 1610/2134 [41:44<09:04,  1.04s/it]
                                                   

 75%|███████▌  | 1610/2134 [41:44<09:04,  1.04s/it]
 75%|███████▌  | 1611/2134 [41:45<08:45,  1.00s/it]
                                                   

 75%|███████▌  | 1611/2134 [41:45<08:45,  1.00s/it]
 76%|███████▌  | 1612/2134 [41:46<08:31,  1.02it/s]
                                                   

 76%|███████▌  | 1612/2134 [41:46<08:31,  1.02it/s]
 76%|███████▌  | 1613/2134 [41:47<08:21,  1.04it/s]
                                                   

 76%|███████▌  | 1613/2134 [41:47<08:21,  1.04it/s]
 76%|███████▌  | 1614/2134 [41:48<08:14,  1.05it/s]
                                                   

 76%|███████▌  | 1614/2134 [41:48<08:14,  1.05it/s]
 76%|███████▌  | 1615/2134 [41:49<08:09,  1.06it/s]
                                                   

 76%|███████▌  | 1615/2134 [41:49<08:09,  1.06it/s]
 76%|███████▌  | 1616/2134 [41:49<08:04,  1.07it/s]
                                                   

 76%|███████▌  | 1616/2134 [41:49<08:04,  1.07it/s]
 76%|███████▌  | 1617/2134 [41:50<08:01,  1.07it/s]
                                                   

 76%|███████▌  | 1617/2134 [41:50<08:01,  1.07it/s]
 76%|███████▌  | 1618/2134 [41:51<07:59,  1.08it/s]
                                                   

 76%|███████▌  | 1618/2134 [41:51<07:59,  1.08it/s]
 76%|███████▌  | 1619/2134 [41:52<07:57,  1.08it/s]
                                                   

 76%|███████▌  | 1619/2134 [41:52<07:57,  1.08it/s]
 76%|███████▌  | 1620/2134 [41:53<07:55,  1.08it/s]
                                                   

 76%|███████▌  | 1620/2134 [41:53<07:55,  1.08it/s]
 76%|███████▌  | 1621/2134 [41:54<07:53,  1.08it/s]
                                                   

 76%|███████▌  | 1621/2134 [41:54<07:53,  1.08it/s]
 76%|███████▌  | 1622/2134 [41:55<07:52,  1.08it/s]
                                                   

 76%|███████▌  | 1622/2134 [41:55<07:52,  1.08it/s]
 76%|███████▌  | 1623/2134 [41:56<07:52,  1.08it/s]
                                                   

 76%|███████▌  | 1623/2134 [41:56<07:52,  1.08it/s]
 76%|███████▌  | 1624/2134 [41:57<07:53,  1.08it/s]
                                                   

 76%|███████▌  | 1624/2134 [41:57<07:53,  1.08it/s]
 76%|███████▌  | 1625/2134 [42:10<39:55,  4.71s/it]
                                                   

 76%|███████▌  | 1625/2134 [42:10<39:55,  4.71s/it]
 76%|███████▌  | 1626/2134 [42:11<30:17,  3.58s/it]
                                                   

 76%|███████▌  | 1626/2134 [42:11<30:17,  3.58s/it]
 76%|███████▌  | 1627/2134 [42:12<23:32,  2.79s/it]
                                                   

 76%|███████▌  | 1627/2134 [42:12<23:32,  2.79s/it]
 76%|███████▋  | 1628/2134 [42:13<18:48,  2.23s/it]
                                                   

 76%|███████▋  | 1628/2134 [42:13<18:48,  2.23s/it]
 76%|███████▋  | 1629/2134 [42:14<15:29,  1.84s/it]
                                                   

 76%|███████▋  | 1629/2134 [42:14<15:29,  1.84s/it]
 76%|███████▋  | 1630/2134 [42:15<13:09,  1.57s/it]
                                                   

 76%|███████▋  | 1630/2134 [42:15<13:09,  1.57s/it]
 76%|███████▋  | 1631/2134 [42:16<11:31,  1.38s/it]
                                                   

 76%|███████▋  | 1631/2134 [42:16<11:31,  1.38s/it]
 76%|███████▋  | 1632/2134 [42:17<10:23,  1.24s/it]
                                                   

 76%|███████▋  | 1632/2134 [42:17<10:23,  1.24s/it]
 77%|███████▋  | 1633/2134 [42:18<09:34,  1.15s/it]
                                                   

 77%|███████▋  | 1633/2134 [42:18<09:34,  1.15s/it]
 77%|███████▋  | 1634/2134 [42:19<09:00,  1.08s/it]
                                                   

 77%|███████▋  | 1634/2134 [42:19<09:00,  1.08s/it]
 77%|███████▋  | 1635/2134 [42:20<08:36,  1.03s/it]
                                                   

 77%|███████▋  | 1635/2134 [42:20<08:36,  1.03s/it]
 77%|███████▋  | 1636/2134 [42:21<08:19,  1.00s/it]
                                                   

 77%|███████▋  | 1636/2134 [42:21<08:19,  1.00s/it]
 77%|███████▋  | 1637/2134 [42:22<08:06,  1.02it/s]
                                                   

 77%|███████▋  | 1637/2134 [42:22<08:06,  1.02it/s]
 77%|███████▋  | 1638/2134 [42:22<07:57,  1.04it/s]
                                                   

 77%|███████▋  | 1638/2134 [42:22<07:57,  1.04it/s]
 77%|███████▋  | 1639/2134 [42:23<07:51,  1.05it/s]
                                                   

 77%|███████▋  | 1639/2134 [42:23<07:51,  1.05it/s]
 77%|███████▋  | 1640/2134 [42:24<07:45,  1.06it/s]
                                                   

 77%|███████▋  | 1640/2134 [42:24<07:45,  1.06it/s]
 77%|███████▋  | 1641/2134 [42:25<07:41,  1.07it/s]
                                                   
{'loss': 0.0603, 'grad_norm': 0.26819780468940735, 'learning_rate': 5.633941785890479e-05, 'epoch': 0.73}
{'loss': 0.0831, 'grad_norm': 0.4669547379016876, 'learning_rate': 5.6240749876665025e-05, 'epoch': 0.73}
{'loss': 0.0624, 'grad_norm': 0.3265831470489502, 'learning_rate': 5.614208189442526e-05, 'epoch': 0.73}
{'loss': 0.0793, 'grad_norm': 0.47737523913383484, 'learning_rate': 5.60434139121855e-05, 'epoch': 0.73}
{'loss': 0.0706, 'grad_norm': 0.32965216040611267, 'learning_rate': 5.594474592994573e-05, 'epoch': 0.73}
{'loss': 0.0819, 'grad_norm': 0.5144931077957153, 'learning_rate': 5.5846077947705975e-05, 'epoch': 0.74}
{'loss': 0.0623, 'grad_norm': 0.4292185604572296, 'learning_rate': 5.574740996546621e-05, 'epoch': 0.74}
{'loss': 0.0667, 'grad_norm': 0.30115601420402527, 'learning_rate': 5.564874198322645e-05, 'epoch': 0.74}
{'loss': 0.0891, 'grad_norm': 0.6465715765953064, 'learning_rate': 5.555007400098668e-05, 'epoch': 0.74}
{'loss': 0.0666, 'grad_norm': 0.35330361127853394, 'learning_rate': 5.545140601874692e-05, 'epoch': 0.74}
{'loss': 0.0661, 'grad_norm': 0.3459089994430542, 'learning_rate': 5.5352738036507154e-05, 'epoch': 0.74}
{'loss': 0.1069, 'grad_norm': 0.6246340870857239, 'learning_rate': 5.525407005426739e-05, 'epoch': 0.74}
{'loss': 0.0638, 'grad_norm': 0.3037223219871521, 'learning_rate': 5.5155402072027626e-05, 'epoch': 0.74}
{'loss': 0.0642, 'grad_norm': 0.28585273027420044, 'learning_rate': 5.505673408978787e-05, 'epoch': 0.74}
{'loss': 0.0631, 'grad_norm': 0.33684927225112915, 'learning_rate': 5.4958066107548104e-05, 'epoch': 0.74}
{'loss': 0.0639, 'grad_norm': 0.32433265447616577, 'learning_rate': 5.485939812530834e-05, 'epoch': 0.74}
{'loss': 0.0527, 'grad_norm': 0.29966282844543457, 'learning_rate': 5.4760730143068575e-05, 'epoch': 0.74}
{'loss': 0.0702, 'grad_norm': 0.38551950454711914, 'learning_rate': 5.466206216082881e-05, 'epoch': 0.74}
{'loss': 0.0705, 'grad_norm': 0.31512048840522766, 'learning_rate': 5.4563394178589054e-05, 'epoch': 0.74}
{'loss': 0.0603, 'grad_norm': 0.3516830801963806, 'learning_rate': 5.446472619634929e-05, 'epoch': 0.74}
{'loss': 0.0746, 'grad_norm': 0.3806121349334717, 'learning_rate': 5.4366058214109525e-05, 'epoch': 0.74}
{'loss': 0.088, 'grad_norm': 0.43913453817367554, 'learning_rate': 5.426739023186976e-05, 'epoch': 0.74}
{'loss': 0.0664, 'grad_norm': 0.4973204731941223, 'learning_rate': 5.416872224963e-05, 'epoch': 0.74}
{'loss': 0.0879, 'grad_norm': 0.5019204616546631, 'learning_rate': 5.407005426739023e-05, 'epoch': 0.74}
{'loss': 0.0565, 'grad_norm': 0.25340741872787476, 'learning_rate': 5.397138628515047e-05, 'epoch': 0.74}
{'loss': 0.0627, 'grad_norm': 0.3176504373550415, 'learning_rate': 5.3872718302910704e-05, 'epoch': 0.74}
{'loss': 0.0584, 'grad_norm': 0.3235717713832855, 'learning_rate': 5.377405032067095e-05, 'epoch': 0.75}
{'loss': 0.0792, 'grad_norm': 0.4643574059009552, 'learning_rate': 5.367538233843118e-05, 'epoch': 0.75}
{'loss': 0.0805, 'grad_norm': 0.42053651809692383, 'learning_rate': 5.357671435619142e-05, 'epoch': 0.75}
{'loss': 0.0495, 'grad_norm': 0.2779911458492279, 'learning_rate': 5.3478046373951654e-05, 'epoch': 0.75}
{'loss': 0.0638, 'grad_norm': 0.3383195102214813, 'learning_rate': 5.337937839171189e-05, 'epoch': 0.75}
{'loss': 0.0831, 'grad_norm': 0.4086855351924896, 'learning_rate': 5.328071040947213e-05, 'epoch': 0.75}
{'loss': 0.0668, 'grad_norm': 0.3237716257572174, 'learning_rate': 5.318204242723237e-05, 'epoch': 0.75}
{'loss': 0.0589, 'grad_norm': 0.3484501540660858, 'learning_rate': 5.3083374444992604e-05, 'epoch': 0.75}
{'loss': 0.0921, 'grad_norm': 0.5322902202606201, 'learning_rate': 5.298470646275284e-05, 'epoch': 0.75}
{'loss': 0.0546, 'grad_norm': 0.25203803181648254, 'learning_rate': 5.2886038480513075e-05, 'epoch': 0.75}
{'loss': 0.078, 'grad_norm': 0.4212541878223419, 'learning_rate': 5.278737049827331e-05, 'epoch': 0.75}
{'loss': 0.069, 'grad_norm': 0.40593957901000977, 'learning_rate': 5.268870251603355e-05, 'epoch': 0.75}
{'loss': 0.0706, 'grad_norm': 0.45159614086151123, 'learning_rate': 5.259003453379378e-05, 'epoch': 0.75}
{'loss': 0.0772, 'grad_norm': 0.3695225417613983, 'learning_rate': 5.2491366551554025e-05, 'epoch': 0.75}
{'loss': 0.0727, 'grad_norm': 0.40861275792121887, 'learning_rate': 5.239269856931426e-05, 'epoch': 0.75}
{'loss': 0.0556, 'grad_norm': 0.28998181223869324, 'learning_rate': 5.22940305870745e-05, 'epoch': 0.75}
{'loss': 0.0643, 'grad_norm': 0.3756224811077118, 'learning_rate': 5.219536260483473e-05, 'epoch': 0.75}
{'loss': 0.0761, 'grad_norm': 0.3984052836894989, 'learning_rate': 5.209669462259497e-05, 'epoch': 0.75}
{'loss': 0.067, 'grad_norm': 0.3042984902858734, 'learning_rate': 5.1998026640355204e-05, 'epoch': 0.75}
{'loss': 0.0839, 'grad_norm': 0.5122983455657959, 'learning_rate': 5.189935865811545e-05, 'epoch': 0.75}
{'loss': 0.063, 'grad_norm': 0.33381888270378113, 'learning_rate': 5.180069067587568e-05, 'epoch': 0.75}
{'loss': 0.055, 'grad_norm': 0.3119238317012787, 'learning_rate': 5.170202269363592e-05, 'epoch': 0.75}
{'loss': 0.0793, 'grad_norm': 0.432003915309906, 'learning_rate': 5.1603354711396154e-05, 'epoch': 0.76}
{'loss': 0.0783, 'grad_norm': 0.4352995455265045, 'learning_rate': 5.150468672915639e-05, 'epoch': 0.76}
{'loss': 0.0747, 'grad_norm': 0.42707687616348267, 'learning_rate': 5.1406018746916626e-05, 'epoch': 0.76}
{'loss': 0.0723, 'grad_norm': 0.4055323600769043, 'learning_rate': 5.130735076467686e-05, 'epoch': 0.76}
{'loss': 0.0671, 'grad_norm': 0.41883501410484314, 'learning_rate': 5.1208682782437104e-05, 'epoch': 0.76}
{'loss': 0.076, 'grad_norm': 0.5330872535705566, 'learning_rate': 5.111001480019734e-05, 'epoch': 0.76}
{'loss': 0.09, 'grad_norm': 0.5033858418464661, 'learning_rate': 5.1011346817957576e-05, 'epoch': 0.76}
{'loss': 0.0589, 'grad_norm': 0.3303394913673401, 'learning_rate': 5.091267883571781e-05, 'epoch': 0.76}
{'loss': 0.0659, 'grad_norm': 0.4009900391101837, 'learning_rate': 5.081401085347805e-05, 'epoch': 0.76}
{'loss': 0.0687, 'grad_norm': 0.4500458538532257, 'learning_rate': 5.071534287123828e-05, 'epoch': 0.76}
{'loss': 0.1005, 'grad_norm': 0.5517930388450623, 'learning_rate': 5.0616674888998525e-05, 'epoch': 0.76}
{'loss': 0.0553, 'grad_norm': 0.28777575492858887, 'learning_rate': 5.051800690675876e-05, 'epoch': 0.76}
{'loss': 0.0601, 'grad_norm': 0.30362892150878906, 'learning_rate': 5.0419338924519e-05, 'epoch': 0.76}
{'loss': 0.074, 'grad_norm': 0.5018815994262695, 'learning_rate': 5.032067094227923e-05, 'epoch': 0.76}
{'loss': 0.0819, 'grad_norm': 0.39792540669441223, 'learning_rate': 5.022200296003947e-05, 'epoch': 0.76}
{'loss': 0.0616, 'grad_norm': 0.32615938782691956, 'learning_rate': 5.0123334977799704e-05, 'epoch': 0.76}
{'loss': 0.0635, 'grad_norm': 0.3309047222137451, 'learning_rate': 5.002466699555994e-05, 'epoch': 0.76}
{'loss': 0.0753, 'grad_norm': 0.4011942744255066, 'learning_rate': 4.992599901332018e-05, 'epoch': 0.76}
{'loss': 0.0755, 'grad_norm': 0.3404720723628998, 'learning_rate': 4.982733103108042e-05, 'epoch': 0.76}
{'loss': 0.078, 'grad_norm': 0.37012219429016113, 'learning_rate': 4.9728663048840654e-05, 'epoch': 0.76}
{'loss': 0.0663, 'grad_norm': 0.26813042163848877, 'learning_rate': 4.962999506660089e-05, 'epoch': 0.76}
{'loss': 0.0706, 'grad_norm': 0.34710124135017395, 'learning_rate': 4.9531327084361126e-05, 'epoch': 0.77}
{'loss': 0.0701, 'grad_norm': 0.34767138957977295, 'learning_rate': 4.943265910212136e-05, 'epoch': 0.77}
{'loss': 0.0518, 'grad_norm': 0.266597718000412, 'learning_rate': 4.9333991119881604e-05, 'epoch': 0.77}
{'loss': 0.0568, 'grad_norm': 0.26577332615852356, 'learning_rate': 4.923532313764184e-05, 'epoch': 0.77}
{'loss': 0.0661, 'grad_norm': 0.36016565561294556, 'learning_rate': 4.9136655155402076e-05, 'epoch': 0.77}
{'loss': 0.0799, 'grad_norm': 0.37492063641548157, 'learning_rate': 4.903798717316231e-05, 'epoch': 0.77}
{'loss': 0.0655, 'grad_norm': 0.3310382664203644, 'learning_rate': 4.893931919092255e-05, 'epoch': 0.77}
{'loss': 0.057, 'grad_norm': 0.2588160037994385, 'learning_rate': 4.884065120868278e-05, 'epoch': 0.77}
{'loss': 0.063, 'grad_norm': 0.25415143370628357, 'learning_rate': 4.874198322644302e-05, 'epoch': 0.77}
 77%|███████▋  | 1641/2134 [42:25<07:41,  1.07it/s]
 77%|███████▋  | 1642/2134 [42:26<07:38,  1.07it/s]
                                                   

 77%|███████▋  | 1642/2134 [42:26<07:38,  1.07it/s]
 77%|███████▋  | 1643/2134 [42:27<07:36,  1.08it/s]
                                                   

 77%|███████▋  | 1643/2134 [42:27<07:36,  1.08it/s]
 77%|███████▋  | 1644/2134 [42:28<07:35,  1.08it/s]
                                                   

 77%|███████▋  | 1644/2134 [42:28<07:35,  1.08it/s]
 77%|███████▋  | 1645/2134 [42:29<07:34,  1.08it/s]
                                                   

 77%|███████▋  | 1645/2134 [42:29<07:34,  1.08it/s]
 77%|███████▋  | 1646/2134 [42:30<07:32,  1.08it/s]
                                                   

 77%|███████▋  | 1646/2134 [42:30<07:32,  1.08it/s]
 77%|███████▋  | 1647/2134 [42:31<07:31,  1.08it/s]
                                                   

 77%|███████▋  | 1647/2134 [42:31<07:31,  1.08it/s]
 77%|███████▋  | 1648/2134 [42:32<07:30,  1.08it/s]
                                                   

 77%|███████▋  | 1648/2134 [42:32<07:30,  1.08it/s]
 77%|███████▋  | 1649/2134 [42:33<07:31,  1.08it/s]
                                                   

 77%|███████▋  | 1649/2134 [42:33<07:31,  1.08it/s]
 77%|███████▋  | 1650/2134 [42:47<39:12,  4.86s/it]
                                                   

 77%|███████▋  | 1650/2134 [42:47<39:12,  4.86s/it]
 77%|███████▋  | 1651/2134 [42:48<29:38,  3.68s/it]
                                                   

 77%|███████▋  | 1651/2134 [42:48<29:38,  3.68s/it]
 77%|███████▋  | 1652/2134 [42:49<22:55,  2.85s/it]
                                                   

 77%|███████▋  | 1652/2134 [42:49<22:55,  2.85s/it]
 77%|███████▋  | 1653/2134 [42:49<18:15,  2.28s/it]
                                                   

 77%|███████▋  | 1653/2134 [42:49<18:15,  2.28s/it]
 78%|███████▊  | 1654/2134 [42:50<14:58,  1.87s/it]
                                                   

 78%|███████▊  | 1654/2134 [42:50<14:58,  1.87s/it]
 78%|███████▊  | 1655/2134 [42:51<12:41,  1.59s/it]
                                                   

 78%|███████▊  | 1655/2134 [42:51<12:41,  1.59s/it]
 78%|███████▊  | 1656/2134 [42:52<11:04,  1.39s/it]
                                                   

 78%|███████▊  | 1656/2134 [42:52<11:04,  1.39s/it]
 78%|███████▊  | 1657/2134 [42:53<09:57,  1.25s/it]
                                                   

 78%|███████▊  | 1657/2134 [42:53<09:57,  1.25s/it]
 78%|███████▊  | 1658/2134 [42:54<09:10,  1.16s/it]
                                                   

 78%|███████▊  | 1658/2134 [42:54<09:10,  1.16s/it]
 78%|███████▊  | 1659/2134 [42:55<08:36,  1.09s/it]
                                                   

 78%|███████▊  | 1659/2134 [42:55<08:36,  1.09s/it]
 78%|███████▊  | 1660/2134 [42:56<08:11,  1.04s/it]
                                                   

 78%|███████▊  | 1660/2134 [42:56<08:11,  1.04s/it]
 78%|███████▊  | 1661/2134 [42:57<07:54,  1.00s/it]
                                                   

 78%|███████▊  | 1661/2134 [42:57<07:54,  1.00s/it]
 78%|███████▊  | 1662/2134 [42:58<07:43,  1.02it/s]
                                                   

 78%|███████▊  | 1662/2134 [42:58<07:43,  1.02it/s]
 78%|███████▊  | 1663/2134 [42:59<07:34,  1.04it/s]
                                                   

 78%|███████▊  | 1663/2134 [42:59<07:34,  1.04it/s]
 78%|███████▊  | 1664/2134 [43:00<07:27,  1.05it/s]
                                                   

 78%|███████▊  | 1664/2134 [43:00<07:27,  1.05it/s]
 78%|███████▊  | 1665/2134 [43:01<07:22,  1.06it/s]
                                                   

 78%|███████▊  | 1665/2134 [43:01<07:22,  1.06it/s]
 78%|███████▊  | 1666/2134 [43:02<07:19,  1.07it/s]
                                                   

 78%|███████▊  | 1666/2134 [43:02<07:19,  1.07it/s]
 78%|███████▊  | 1667/2134 [43:02<07:17,  1.07it/s]
                                                   

 78%|███████▊  | 1667/2134 [43:02<07:17,  1.07it/s]
 78%|███████▊  | 1668/2134 [43:03<07:15,  1.07it/s]
                                                   

 78%|███████▊  | 1668/2134 [43:03<07:15,  1.07it/s]
 78%|███████▊  | 1669/2134 [43:04<07:13,  1.07it/s]
                                                   

 78%|███████▊  | 1669/2134 [43:04<07:13,  1.07it/s]
 78%|███████▊  | 1670/2134 [43:05<07:12,  1.07it/s]
                                                   

 78%|███████▊  | 1670/2134 [43:05<07:12,  1.07it/s]
 78%|███████▊  | 1671/2134 [43:06<07:10,  1.08it/s]
                                                   

 78%|███████▊  | 1671/2134 [43:06<07:10,  1.08it/s]
 78%|███████▊  | 1672/2134 [43:07<07:09,  1.08it/s]
                                                   

 78%|███████▊  | 1672/2134 [43:07<07:09,  1.08it/s]
 78%|███████▊  | 1673/2134 [43:08<07:08,  1.07it/s]
                                                   

 78%|███████▊  | 1673/2134 [43:08<07:08,  1.07it/s]
 78%|███████▊  | 1674/2134 [43:09<07:08,  1.07it/s]
                                                   

 78%|███████▊  | 1674/2134 [43:09<07:08,  1.07it/s]
 78%|███████▊  | 1675/2134 [43:23<36:48,  4.81s/it]
                                                   

 78%|███████▊  | 1675/2134 [43:23<36:48,  4.81s/it]
 79%|███████▊  | 1676/2134 [43:24<27:51,  3.65s/it]
                                                   

 79%|███████▊  | 1676/2134 [43:24<27:51,  3.65s/it]
 79%|███████▊  | 1677/2134 [43:25<21:34,  2.83s/it]
                                                   

 79%|███████▊  | 1677/2134 [43:25<21:34,  2.83s/it]
 79%|███████▊  | 1678/2134 [43:26<17:09,  2.26s/it]
                                                   

 79%|███████▊  | 1678/2134 [43:26<17:09,  2.26s/it]
 79%|███████▊  | 1679/2134 [43:27<14:04,  1.86s/it]
                                                   

 79%|███████▊  | 1679/2134 [43:27<14:04,  1.86s/it]
 79%|███████▊  | 1680/2134 [43:27<11:55,  1.58s/it]
                                                   

 79%|███████▊  | 1680/2134 [43:27<11:55,  1.58s/it]
 79%|███████▉  | 1681/2134 [43:28<10:24,  1.38s/it]
                                                   

 79%|███████▉  | 1681/2134 [43:28<10:24,  1.38s/it]
 79%|███████▉  | 1682/2134 [43:29<09:20,  1.24s/it]
                                                   

 79%|███████▉  | 1682/2134 [43:29<09:20,  1.24s/it]
 79%|███████▉  | 1683/2134 [43:30<08:35,  1.14s/it]
                                                   

 79%|███████▉  | 1683/2134 [43:30<08:35,  1.14s/it]
 79%|███████▉  | 1684/2134 [43:31<08:04,  1.08s/it]
                                                   

 79%|███████▉  | 1684/2134 [43:31<08:04,  1.08s/it]
 79%|███████▉  | 1685/2134 [43:32<07:41,  1.03s/it]
                                                   

 79%|███████▉  | 1685/2134 [43:32<07:41,  1.03s/it]
 79%|███████▉  | 1686/2134 [43:33<07:25,  1.01it/s]
                                                   

 79%|███████▉  | 1686/2134 [43:33<07:25,  1.01it/s]
 79%|███████▉  | 1687/2134 [43:34<07:14,  1.03it/s]
                                                   

 79%|███████▉  | 1687/2134 [43:34<07:14,  1.03it/s]
 79%|███████▉  | 1688/2134 [43:35<07:05,  1.05it/s]
                                                   

 79%|███████▉  | 1688/2134 [43:35<07:05,  1.05it/s]
 79%|███████▉  | 1689/2134 [43:36<06:59,  1.06it/s]
                                                   

 79%|███████▉  | 1689/2134 [43:36<06:59,  1.06it/s]
 79%|███████▉  | 1690/2134 [43:37<06:56,  1.07it/s]
                                                   

 79%|███████▉  | 1690/2134 [43:37<06:56,  1.07it/s]
 79%|███████▉  | 1691/2134 [43:38<06:52,  1.07it/s]
                                                   

 79%|███████▉  | 1691/2134 [43:38<06:52,  1.07it/s]
 79%|███████▉  | 1692/2134 [43:38<06:50,  1.08it/s]
                                                   

 79%|███████▉  | 1692/2134 [43:38<06:50,  1.08it/s]
 79%|███████▉  | 1693/2134 [43:39<06:48,  1.08it/s]
                                                   

 79%|███████▉  | 1693/2134 [43:39<06:48,  1.08it/s]
 79%|███████▉  | 1694/2134 [43:40<06:46,  1.08it/s]
                                                   

 79%|███████▉  | 1694/2134 [43:40<06:46,  1.08it/s]
 79%|███████▉  | 1695/2134 [43:41<06:46,  1.08it/s]
                                                   

 79%|███████▉  | 1695/2134 [43:41<06:46,  1.08it/s]
 79%|███████▉  | 1696/2134 [43:42<06:45,  1.08it/s]
                                                   

 79%|███████▉  | 1696/2134 [43:42<06:45,  1.08it/s]
 80%|███████▉  | 1697/2134 [43:43<06:43,  1.08it/s]
                                                   

 80%|███████▉  | 1697/2134 [43:43<06:43,  1.08it/s]
 80%|███████▉  | 1698/2134 [43:44<06:42,  1.08it/s]
                                                   

 80%|███████▉  | 1698/2134 [43:44<06:42,  1.08it/s]
 80%|███████▉  | 1699/2134 [43:45<06:41,  1.08it/s]
                                                   

 80%|███████▉  | 1699/2134 [43:45<06:41,  1.08it/s]
 80%|███████▉  | 1700/2134 [43:59<35:25,  4.90s/it]
                                                   

 80%|███████▉  | 1700/2134 [43:59<35:25,  4.90s/it]
 80%|███████▉  | 1701/2134 [44:00<26:47,  3.71s/it]
                                                   

 80%|███████▉  | 1701/2134 [44:00<26:47,  3.71s/it]
 80%|███████▉  | 1702/2134 [44:01<20:43,  2.88s/it]
                                                   

 80%|███████▉  | 1702/2134 [44:01<20:43,  2.88s/it]
 80%|███████▉  | 1703/2134 [44:02<16:29,  2.30s/it]
                                                   

 80%|███████▉  | 1703/2134 [44:02<16:29,  2.30s/it]
 80%|███████▉  | 1704/2134 [44:03<13:32,  1.89s/it]
                                                   

 80%|███████▉  | 1704/2134 [44:03<13:32,  1.89s/it]
 80%|███████▉  | 1705/2134 [44:04<11:26,  1.60s/it]
                                                   

 80%|███████▉  | 1705/2134 [44:04<11:26,  1.60s/it]
 80%|███████▉  | 1706/2134 [44:05<09:58,  1.40s/it]
                                                   

 80%|███████▉  | 1706/2134 [44:05<09:58,  1.40s/it]
 80%|███████▉  | 1707/2134 [44:06<08:57,  1.26s/it]
                                                   

 80%|███████▉  | 1707/2134 [44:06<08:57,  1.26s/it]
 80%|████████  | 1708/2134 [44:07<08:13,  1.16s/it]
                                                   

 80%|████████  | 1708/2134 [44:07<08:13,  1.16s/it]
 80%|████████  | 1709/2134 [44:08<07:43,  1.09s/it]
                                                   

 80%|████████  | 1709/2134 [44:08<07:43,  1.09s/it]
 80%|████████  | 1710/2134 [44:08<07:22,  1.04s/it]
                                                   

 80%|████████  | 1710/2134 [44:08<07:22,  1.04s/it]
 80%|████████  | 1711/2134 [44:09<07:06,  1.01s/it]
                                                   

 80%|████████  | 1711/2134 [44:09<07:06,  1.01s/it]
 80%|████████  | 1712/2134 [44:10<06:55,  1.02it/s]
                                                   

 80%|████████  | 1712/2134 [44:10<06:55,  1.02it/s]
 80%|████████  | 1713/2134 [44:11<06:47,  1.03it/s]
                                                   

 80%|████████  | 1713/2134 [44:11<06:47,  1.03it/s]
 80%|████████  | 1714/2134 [44:12<06:42,  1.04it/s]
                                                   

 80%|████████  | 1714/2134 [44:12<06:42,  1.04it/s]
 80%|████████  | 1715/2134 [44:13<06:37,  1.05it/s]
                                                   

 80%|████████  | 1715/2134 [44:13<06:37,  1.05it/s]
 80%|████████  | 1716/2134 [44:14<06:34,  1.06it/s]
                                                   

 80%|████████  | 1716/2134 [44:14<06:34,  1.06it/s]
 80%|████████  | 1717/2134 [44:15<06:31,  1.06it/s]
                                                   

 80%|████████  | 1717/2134 [44:15<06:31,  1.06it/s]
 81%|████████  | 1718/2134 [44:16<06:32,  1.06it/s]
                                                   

 81%|████████  | 1718/2134 [44:16<06:32,  1.06it/s]
 81%|████████  | 1719/2134 [44:17<06:31,  1.06it/s]
                                                   
{'loss': 0.0594, 'grad_norm': 0.3158082067966461, 'learning_rate': 4.864331524420326e-05, 'epoch': 0.77}
{'loss': 0.0857, 'grad_norm': 0.4424406886100769, 'learning_rate': 4.85446472619635e-05, 'epoch': 0.77}
{'loss': 0.077, 'grad_norm': 0.4466884434223175, 'learning_rate': 4.844597927972373e-05, 'epoch': 0.77}
{'loss': 0.0599, 'grad_norm': 0.31677448749542236, 'learning_rate': 4.834731129748397e-05, 'epoch': 0.77}
{'loss': 0.0681, 'grad_norm': 0.40220019221305847, 'learning_rate': 4.8248643315244204e-05, 'epoch': 0.77}
{'loss': 0.0965, 'grad_norm': 0.4180253744125366, 'learning_rate': 4.814997533300444e-05, 'epoch': 0.77}
{'loss': 0.0586, 'grad_norm': 0.286997526884079, 'learning_rate': 4.805130735076468e-05, 'epoch': 0.77}
{'loss': 0.0593, 'grad_norm': 0.31264668703079224, 'learning_rate': 4.795263936852492e-05, 'epoch': 0.77}
{'loss': 0.0561, 'grad_norm': 0.24994543194770813, 'learning_rate': 4.7853971386285154e-05, 'epoch': 0.77}
{'loss': 0.0645, 'grad_norm': 0.27585655450820923, 'learning_rate': 4.775530340404539e-05, 'epoch': 0.77}
{'loss': 0.0658, 'grad_norm': 0.3462998569011688, 'learning_rate': 4.7656635421805626e-05, 'epoch': 0.77}
{'loss': 0.0688, 'grad_norm': 0.3449355959892273, 'learning_rate': 4.755796743956586e-05, 'epoch': 0.77}
{'loss': 0.0821, 'grad_norm': 0.4134024977684021, 'learning_rate': 4.7459299457326104e-05, 'epoch': 0.78}
{'loss': 0.0843, 'grad_norm': 0.4195241630077362, 'learning_rate': 4.736063147508634e-05, 'epoch': 0.78}
{'loss': 0.0775, 'grad_norm': 0.3775092661380768, 'learning_rate': 4.7261963492846576e-05, 'epoch': 0.78}
{'loss': 0.0747, 'grad_norm': 0.34912776947021484, 'learning_rate': 4.716329551060681e-05, 'epoch': 0.78}
{'loss': 0.0497, 'grad_norm': 0.2302166223526001, 'learning_rate': 4.706462752836705e-05, 'epoch': 0.78}
{'loss': 0.0644, 'grad_norm': 0.34477701783180237, 'learning_rate': 4.696595954612728e-05, 'epoch': 0.78}
{'loss': 0.0684, 'grad_norm': 0.3334134817123413, 'learning_rate': 4.686729156388752e-05, 'epoch': 0.78}
{'loss': 0.0824, 'grad_norm': 0.38778021931648254, 'learning_rate': 4.676862358164776e-05, 'epoch': 0.78}
{'loss': 0.0614, 'grad_norm': 0.2831582725048065, 'learning_rate': 4.6669955599408e-05, 'epoch': 0.78}
{'loss': 0.07, 'grad_norm': 0.37708571553230286, 'learning_rate': 4.657128761716823e-05, 'epoch': 0.78}
{'loss': 0.0621, 'grad_norm': 0.27647215127944946, 'learning_rate': 4.647261963492847e-05, 'epoch': 0.78}
{'loss': 0.0562, 'grad_norm': 0.2740478217601776, 'learning_rate': 4.6373951652688704e-05, 'epoch': 0.78}
{'loss': 0.0551, 'grad_norm': 0.3188523054122925, 'learning_rate': 4.627528367044894e-05, 'epoch': 0.78}
{'loss': 0.068, 'grad_norm': 0.3496282994747162, 'learning_rate': 4.617661568820918e-05, 'epoch': 0.78}
{'loss': 0.0581, 'grad_norm': 0.22453518211841583, 'learning_rate': 4.607794770596942e-05, 'epoch': 0.78}
{'loss': 0.0655, 'grad_norm': 0.336043119430542, 'learning_rate': 4.5979279723729654e-05, 'epoch': 0.78}
{'loss': 0.0573, 'grad_norm': 0.33861470222473145, 'learning_rate': 4.588061174148989e-05, 'epoch': 0.78}
{'loss': 0.0857, 'grad_norm': 0.42055952548980713, 'learning_rate': 4.5781943759250126e-05, 'epoch': 0.78}
{'loss': 0.0589, 'grad_norm': 0.2908553183078766, 'learning_rate': 4.568327577701036e-05, 'epoch': 0.78}
{'loss': 0.0758, 'grad_norm': 0.4104654788970947, 'learning_rate': 4.55846077947706e-05, 'epoch': 0.78}
{'loss': 0.079, 'grad_norm': 0.3584934175014496, 'learning_rate': 4.548593981253084e-05, 'epoch': 0.78}
{'loss': 0.0756, 'grad_norm': 0.32210057973861694, 'learning_rate': 4.5387271830291076e-05, 'epoch': 0.78}
{'loss': 0.061, 'grad_norm': 0.2926570177078247, 'learning_rate': 4.528860384805131e-05, 'epoch': 0.79}
{'loss': 0.0787, 'grad_norm': 0.40424230694770813, 'learning_rate': 4.518993586581155e-05, 'epoch': 0.79}
{'loss': 0.0689, 'grad_norm': 0.4286864995956421, 'learning_rate': 4.509126788357178e-05, 'epoch': 0.79}
{'loss': 0.0565, 'grad_norm': 0.28684329986572266, 'learning_rate': 4.499259990133202e-05, 'epoch': 0.79}
{'loss': 0.073, 'grad_norm': 0.3803594708442688, 'learning_rate': 4.489393191909226e-05, 'epoch': 0.79}
{'loss': 0.0708, 'grad_norm': 0.3580019474029541, 'learning_rate': 4.47952639368525e-05, 'epoch': 0.79}
{'loss': 0.0732, 'grad_norm': 0.36478447914123535, 'learning_rate': 4.469659595461273e-05, 'epoch': 0.79}
{'loss': 0.0712, 'grad_norm': 0.40328481793403625, 'learning_rate': 4.459792797237297e-05, 'epoch': 0.79}
{'loss': 0.0714, 'grad_norm': 0.3672492802143097, 'learning_rate': 4.4499259990133204e-05, 'epoch': 0.79}
{'loss': 0.0685, 'grad_norm': 0.3500067889690399, 'learning_rate': 4.440059200789344e-05, 'epoch': 0.79}
{'loss': 0.0641, 'grad_norm': 0.3283316195011139, 'learning_rate': 4.4301924025653676e-05, 'epoch': 0.79}
{'loss': 0.058, 'grad_norm': 0.27574706077575684, 'learning_rate': 4.420325604341392e-05, 'epoch': 0.79}
{'loss': 0.0592, 'grad_norm': 0.32737916707992554, 'learning_rate': 4.4104588061174154e-05, 'epoch': 0.79}
{'loss': 0.0641, 'grad_norm': 0.3615010976791382, 'learning_rate': 4.400592007893439e-05, 'epoch': 0.79}
{'loss': 0.073, 'grad_norm': 0.3445596396923065, 'learning_rate': 4.3907252096694626e-05, 'epoch': 0.79}
{'loss': 0.0608, 'grad_norm': 0.31470534205436707, 'learning_rate': 4.380858411445486e-05, 'epoch': 0.79}
{'loss': 0.0701, 'grad_norm': 0.329557865858078, 'learning_rate': 4.37099161322151e-05, 'epoch': 0.79}
{'loss': 0.0775, 'grad_norm': 0.4669210612773895, 'learning_rate': 4.361124814997534e-05, 'epoch': 0.79}
{'loss': 0.068, 'grad_norm': 0.3415844738483429, 'learning_rate': 4.3512580167735576e-05, 'epoch': 0.79}
{'loss': 0.0637, 'grad_norm': 0.3636113703250885, 'learning_rate': 4.341391218549581e-05, 'epoch': 0.79}
{'loss': 0.0436, 'grad_norm': 0.29129037261009216, 'learning_rate': 4.331524420325605e-05, 'epoch': 0.79}
{'loss': 0.0594, 'grad_norm': 0.25482016801834106, 'learning_rate': 4.321657622101628e-05, 'epoch': 0.8}
{'loss': 0.1021, 'grad_norm': 0.5307653546333313, 'learning_rate': 4.311790823877652e-05, 'epoch': 0.8}
{'loss': 0.0685, 'grad_norm': 0.30113351345062256, 'learning_rate': 4.3019240256536755e-05, 'epoch': 0.8}
{'loss': 0.0598, 'grad_norm': 0.31030288338661194, 'learning_rate': 4.2920572274297e-05, 'epoch': 0.8}
{'loss': 0.0816, 'grad_norm': 0.4666403532028198, 'learning_rate': 4.282190429205723e-05, 'epoch': 0.8}
{'loss': 0.0516, 'grad_norm': 0.2771376967430115, 'learning_rate': 4.272323630981747e-05, 'epoch': 0.8}
{'loss': 0.0585, 'grad_norm': 0.26465874910354614, 'learning_rate': 4.2624568327577705e-05, 'epoch': 0.8}
{'loss': 0.0616, 'grad_norm': 0.31644782423973083, 'learning_rate': 4.252590034533794e-05, 'epoch': 0.8}
{'loss': 0.0585, 'grad_norm': 0.30212312936782837, 'learning_rate': 4.2427232363098176e-05, 'epoch': 0.8}
{'loss': 0.0635, 'grad_norm': 0.3535165786743164, 'learning_rate': 4.232856438085842e-05, 'epoch': 0.8}
{'loss': 0.0655, 'grad_norm': 0.3453714847564697, 'learning_rate': 4.2229896398618654e-05, 'epoch': 0.8}
{'loss': 0.0756, 'grad_norm': 0.4368259012699127, 'learning_rate': 4.213122841637889e-05, 'epoch': 0.8}
{'loss': 0.0708, 'grad_norm': 0.4382265508174896, 'learning_rate': 4.2032560434139126e-05, 'epoch': 0.8}
{'loss': 0.0586, 'grad_norm': 0.2733747959136963, 'learning_rate': 4.193389245189936e-05, 'epoch': 0.8}
{'loss': 0.0446, 'grad_norm': 0.2724628746509552, 'learning_rate': 4.18352244696596e-05, 'epoch': 0.8}
{'loss': 0.0817, 'grad_norm': 0.4458964169025421, 'learning_rate': 4.173655648741984e-05, 'epoch': 0.8}
{'loss': 0.0633, 'grad_norm': 0.34716105461120605, 'learning_rate': 4.1637888505180076e-05, 'epoch': 0.8}
{'loss': 0.062, 'grad_norm': 0.31558406352996826, 'learning_rate': 4.153922052294031e-05, 'epoch': 0.8}
{'loss': 0.0458, 'grad_norm': 0.22759036719799042, 'learning_rate': 4.144055254070055e-05, 'epoch': 0.8}
{'loss': 0.0649, 'grad_norm': 0.27965396642684937, 'learning_rate': 4.134188455846078e-05, 'epoch': 0.8}
{'loss': 0.0629, 'grad_norm': 0.3655339479446411, 'learning_rate': 4.124321657622102e-05, 'epoch': 0.8}
{'loss': 0.0535, 'grad_norm': 0.28030645847320557, 'learning_rate': 4.1144548593981255e-05, 'epoch': 0.81}
{'loss': 0.0519, 'grad_norm': 0.25285032391548157, 'learning_rate': 4.10458806117415e-05, 'epoch': 0.81}
 81%|████████  | 1719/2134 [44:17<06:31,  1.06it/s]
 81%|████████  | 1720/2134 [44:18<06:30,  1.06it/s]
                                                   

 81%|████████  | 1720/2134 [44:18<06:30,  1.06it/s]
 81%|████████  | 1721/2134 [44:19<06:28,  1.06it/s]
                                                   

 81%|████████  | 1721/2134 [44:19<06:28,  1.06it/s]
 81%|████████  | 1722/2134 [44:20<06:26,  1.07it/s]
                                                   

 81%|████████  | 1722/2134 [44:20<06:26,  1.07it/s]
 81%|████████  | 1723/2134 [44:21<06:26,  1.06it/s]
                                                   

 81%|████████  | 1723/2134 [44:21<06:26,  1.06it/s]
 81%|████████  | 1724/2134 [44:22<06:26,  1.06it/s]
                                                   

 81%|████████  | 1724/2134 [44:22<06:26,  1.06it/s]
 81%|████████  | 1725/2134 [44:36<33:23,  4.90s/it]
                                                   

 81%|████████  | 1725/2134 [44:36<33:23,  4.90s/it]
 81%|████████  | 1726/2134 [44:37<25:14,  3.71s/it]
                                                   

 81%|████████  | 1726/2134 [44:37<25:14,  3.71s/it]
 81%|████████  | 1727/2134 [44:38<19:32,  2.88s/it]
                                                   

 81%|████████  | 1727/2134 [44:38<19:32,  2.88s/it]
 81%|████████  | 1728/2134 [44:39<15:32,  2.30s/it]
                                                   

 81%|████████  | 1728/2134 [44:39<15:32,  2.30s/it]
 81%|████████  | 1729/2134 [44:39<12:45,  1.89s/it]
                                                   

 81%|████████  | 1729/2134 [44:39<12:45,  1.89s/it]
 81%|████████  | 1730/2134 [44:40<10:47,  1.60s/it]
                                                   

 81%|████████  | 1730/2134 [44:40<10:47,  1.60s/it]
 81%|████████  | 1731/2134 [44:41<09:25,  1.40s/it]
                                                   

 81%|████████  | 1731/2134 [44:41<09:25,  1.40s/it]
 81%|████████  | 1732/2134 [44:42<08:27,  1.26s/it]
                                                   

 81%|████████  | 1732/2134 [44:42<08:27,  1.26s/it]
 81%|████████  | 1733/2134 [44:43<07:46,  1.16s/it]
                                                   

 81%|████████  | 1733/2134 [44:43<07:46,  1.16s/it]
 81%|████████▏ | 1734/2134 [44:44<07:18,  1.10s/it]
                                                   

 81%|████████▏ | 1734/2134 [44:44<07:18,  1.10s/it]
 81%|████████▏ | 1735/2134 [44:45<06:58,  1.05s/it]
                                                   

 81%|████████▏ | 1735/2134 [44:45<06:58,  1.05s/it]
 81%|████████▏ | 1736/2134 [44:46<06:43,  1.01s/it]
                                                   

 81%|████████▏ | 1736/2134 [44:46<06:43,  1.01s/it]
 81%|████████▏ | 1737/2134 [44:47<06:33,  1.01it/s]
                                                   

 81%|████████▏ | 1737/2134 [44:47<06:33,  1.01it/s]
 81%|████████▏ | 1738/2134 [44:48<06:26,  1.02it/s]
                                                   

 81%|████████▏ | 1738/2134 [44:48<06:26,  1.02it/s]
 81%|████████▏ | 1739/2134 [44:49<06:21,  1.04it/s]
                                                   

 81%|████████▏ | 1739/2134 [44:49<06:21,  1.04it/s]
 82%|████████▏ | 1740/2134 [44:50<06:17,  1.04it/s]
                                                   

 82%|████████▏ | 1740/2134 [44:50<06:17,  1.04it/s]
 82%|████████▏ | 1741/2134 [44:51<06:12,  1.05it/s]
                                                   

 82%|████████▏ | 1741/2134 [44:51<06:12,  1.05it/s]
 82%|████████▏ | 1742/2134 [44:52<06:09,  1.06it/s]
                                                   

 82%|████████▏ | 1742/2134 [44:52<06:09,  1.06it/s]
 82%|████████▏ | 1743/2134 [44:53<06:07,  1.07it/s]
                                                   

 82%|████████▏ | 1743/2134 [44:53<06:07,  1.07it/s]
 82%|████████▏ | 1744/2134 [44:53<06:05,  1.07it/s]
                                                   

 82%|████████▏ | 1744/2134 [44:53<06:05,  1.07it/s]
 82%|████████▏ | 1745/2134 [44:54<06:04,  1.07it/s]
                                                   

 82%|████████▏ | 1745/2134 [44:54<06:04,  1.07it/s]
 82%|████████▏ | 1746/2134 [44:55<06:03,  1.07it/s]
                                                   

 82%|████████▏ | 1746/2134 [44:55<06:03,  1.07it/s]
 82%|████████▏ | 1747/2134 [44:56<06:01,  1.07it/s]
                                                   

 82%|████████▏ | 1747/2134 [44:56<06:01,  1.07it/s]
 82%|████████▏ | 1748/2134 [44:57<06:00,  1.07it/s]
                                                   

 82%|████████▏ | 1748/2134 [44:57<06:00,  1.07it/s]
 82%|████████▏ | 1749/2134 [44:58<05:59,  1.07it/s]
                                                   

 82%|████████▏ | 1749/2134 [44:58<05:59,  1.07it/s]
 82%|████████▏ | 1750/2134 [45:12<31:41,  4.95s/it]
                                                   

 82%|████████▏ | 1750/2134 [45:12<31:41,  4.95s/it]
 82%|████████▏ | 1751/2134 [45:13<23:53,  3.74s/it]
                                                   

 82%|████████▏ | 1751/2134 [45:13<23:53,  3.74s/it]
 82%|████████▏ | 1752/2134 [45:14<18:26,  2.90s/it]
                                                   

 82%|████████▏ | 1752/2134 [45:14<18:26,  2.90s/it]
 82%|████████▏ | 1753/2134 [45:15<14:36,  2.30s/it]
                                                   

 82%|████████▏ | 1753/2134 [45:15<14:36,  2.30s/it]
 82%|████████▏ | 1754/2134 [45:16<11:57,  1.89s/it]
                                                   

 82%|████████▏ | 1754/2134 [45:16<11:57,  1.89s/it]
 82%|████████▏ | 1755/2134 [45:17<10:04,  1.60s/it]
                                                   

 82%|████████▏ | 1755/2134 [45:17<10:04,  1.60s/it]
 82%|████████▏ | 1756/2134 [45:18<08:46,  1.39s/it]
                                                   

 82%|████████▏ | 1756/2134 [45:18<08:46,  1.39s/it]
 82%|████████▏ | 1757/2134 [45:19<07:51,  1.25s/it]
                                                   

 82%|████████▏ | 1757/2134 [45:19<07:51,  1.25s/it]
 82%|████████▏ | 1758/2134 [45:20<07:12,  1.15s/it]
                                                   

 82%|████████▏ | 1758/2134 [45:20<07:12,  1.15s/it]
 82%|████████▏ | 1759/2134 [45:21<06:46,  1.08s/it]
                                                   

 82%|████████▏ | 1759/2134 [45:21<06:46,  1.08s/it]
 82%|████████▏ | 1760/2134 [45:22<06:28,  1.04s/it]
                                                   

 82%|████████▏ | 1760/2134 [45:22<06:28,  1.04s/it]
 83%|████████▎ | 1761/2134 [45:23<06:14,  1.00s/it]
                                                   

 83%|████████▎ | 1761/2134 [45:23<06:14,  1.00s/it]
 83%|████████▎ | 1762/2134 [45:24<06:05,  1.02it/s]
                                                   

 83%|████████▎ | 1762/2134 [45:24<06:05,  1.02it/s]
 83%|████████▎ | 1763/2134 [45:24<05:57,  1.04it/s]
                                                   

 83%|████████▎ | 1763/2134 [45:24<05:57,  1.04it/s]
 83%|████████▎ | 1764/2134 [45:25<05:51,  1.05it/s]
                                                   

 83%|████████▎ | 1764/2134 [45:25<05:51,  1.05it/s]
 83%|████████▎ | 1765/2134 [45:26<05:48,  1.06it/s]
                                                   

 83%|████████▎ | 1765/2134 [45:26<05:48,  1.06it/s]
 83%|████████▎ | 1766/2134 [45:27<05:45,  1.06it/s]
                                                   

 83%|████████▎ | 1766/2134 [45:27<05:45,  1.06it/s]
 83%|████████▎ | 1767/2134 [45:28<05:43,  1.07it/s]
                                                   

 83%|████████▎ | 1767/2134 [45:28<05:43,  1.07it/s]
 83%|████████▎ | 1768/2134 [45:29<05:44,  1.06it/s]
                                                   

 83%|████████▎ | 1768/2134 [45:29<05:44,  1.06it/s]
 83%|████████▎ | 1769/2134 [45:30<05:41,  1.07it/s]
                                                   

 83%|████████▎ | 1769/2134 [45:30<05:41,  1.07it/s]
 83%|████████▎ | 1770/2134 [45:31<05:40,  1.07it/s]
                                                   

 83%|████████▎ | 1770/2134 [45:31<05:40,  1.07it/s]
 83%|████████▎ | 1771/2134 [45:32<05:38,  1.07it/s]
                                                   

 83%|████████▎ | 1771/2134 [45:32<05:38,  1.07it/s]
 83%|████████▎ | 1772/2134 [45:33<05:36,  1.07it/s]
                                                   

 83%|████████▎ | 1772/2134 [45:33<05:36,  1.07it/s]
 83%|████████▎ | 1773/2134 [45:34<05:36,  1.07it/s]
                                                   

 83%|████████▎ | 1773/2134 [45:34<05:36,  1.07it/s]
 83%|████████▎ | 1774/2134 [45:35<05:35,  1.07it/s]
                                                   

 83%|████████▎ | 1774/2134 [45:35<05:35,  1.07it/s]
 83%|████████▎ | 1775/2134 [45:49<29:27,  4.92s/it]
                                                   

 83%|████████▎ | 1775/2134 [45:49<29:27,  4.92s/it]
 83%|████████▎ | 1776/2134 [45:50<22:13,  3.72s/it]
                                                   

 83%|████████▎ | 1776/2134 [45:50<22:13,  3.72s/it]
 83%|████████▎ | 1777/2134 [45:51<17:09,  2.88s/it]
                                                   

 83%|████████▎ | 1777/2134 [45:51<17:09,  2.88s/it]
 83%|████████▎ | 1778/2134 [45:52<13:37,  2.30s/it]
                                                   

 83%|████████▎ | 1778/2134 [45:52<13:37,  2.30s/it]
 83%|████████▎ | 1779/2134 [45:53<11:09,  1.89s/it]
                                                   

 83%|████████▎ | 1779/2134 [45:53<11:09,  1.89s/it]
 83%|████████▎ | 1780/2134 [45:54<09:26,  1.60s/it]
                                                   

 83%|████████▎ | 1780/2134 [45:54<09:26,  1.60s/it]
 83%|████████▎ | 1781/2134 [45:54<08:13,  1.40s/it]
                                                   

 83%|████████▎ | 1781/2134 [45:54<08:13,  1.40s/it]
 84%|████████▎ | 1782/2134 [45:55<07:22,  1.26s/it]
                                                   

 84%|████████▎ | 1782/2134 [45:55<07:22,  1.26s/it]
 84%|████████▎ | 1783/2134 [45:56<06:45,  1.16s/it]
                                                   

 84%|████████▎ | 1783/2134 [45:56<06:45,  1.16s/it]
 84%|████████▎ | 1784/2134 [45:57<06:20,  1.09s/it]
                                                   

 84%|████████▎ | 1784/2134 [45:57<06:20,  1.09s/it]
 84%|████████▎ | 1785/2134 [45:58<06:02,  1.04s/it]
                                                   

 84%|████████▎ | 1785/2134 [45:58<06:02,  1.04s/it]
 84%|████████▎ | 1786/2134 [45:59<05:49,  1.00s/it]
                                                   

 84%|████████▎ | 1786/2134 [45:59<05:49,  1.00s/it]
 84%|████████▎ | 1787/2134 [46:00<05:40,  1.02it/s]
                                                   

 84%|████████▎ | 1787/2134 [46:00<05:40,  1.02it/s]
 84%|████████▍ | 1788/2134 [46:01<05:33,  1.04it/s]
                                                   

 84%|████████▍ | 1788/2134 [46:01<05:33,  1.04it/s]
 84%|████████▍ | 1789/2134 [46:02<05:29,  1.05it/s]
                                                   

 84%|████████▍ | 1789/2134 [46:02<05:29,  1.05it/s]
 84%|████████▍ | 1790/2134 [46:03<05:25,  1.06it/s]
                                                   

 84%|████████▍ | 1790/2134 [46:03<05:25,  1.06it/s]
 84%|████████▍ | 1791/2134 [46:04<05:22,  1.07it/s]
                                                   

 84%|████████▍ | 1791/2134 [46:04<05:22,  1.07it/s]
 84%|████████▍ | 1792/2134 [46:05<05:19,  1.07it/s]
                                                   

 84%|████████▍ | 1792/2134 [46:05<05:19,  1.07it/s]
 84%|████████▍ | 1793/2134 [46:06<05:16,  1.08it/s]
                                                   

 84%|████████▍ | 1793/2134 [46:06<05:16,  1.08it/s]
 84%|████████▍ | 1794/2134 [46:07<05:15,  1.08it/s]
                                                   

 84%|████████▍ | 1794/2134 [46:07<05:15,  1.08it/s]
 84%|████████▍ | 1795/2134 [46:07<05:13,  1.08it/s]
                                                   

 84%|████████▍ | 1795/2134 [46:07<05:13,  1.08it/s]
 84%|████████▍ | 1796/2134 [46:08<05:12,  1.08it/s]
                                                   

 84%|████████▍ | 1796/2134 [46:08<05:12,  1.08it/s]
 84%|████████▍ | 1797/2134 [46:09<05:11,  1.08it/s]
                                                   
{'loss': 0.0608, 'grad_norm': 0.37233641743659973, 'learning_rate': 4.094721262950173e-05, 'epoch': 0.81}
{'loss': 0.0688, 'grad_norm': 0.36127254366874695, 'learning_rate': 4.084854464726197e-05, 'epoch': 0.81}
{'loss': 0.0639, 'grad_norm': 0.3229595124721527, 'learning_rate': 4.0749876665022205e-05, 'epoch': 0.81}
{'loss': 0.067, 'grad_norm': 0.32374048233032227, 'learning_rate': 4.065120868278244e-05, 'epoch': 0.81}
{'loss': 0.0765, 'grad_norm': 0.3789099156856537, 'learning_rate': 4.0552540700542676e-05, 'epoch': 0.81}
{'loss': 0.0676, 'grad_norm': 0.2949056327342987, 'learning_rate': 4.045387271830292e-05, 'epoch': 0.81}
{'loss': 0.0621, 'grad_norm': 0.3769996762275696, 'learning_rate': 4.0355204736063154e-05, 'epoch': 0.81}
{'loss': 0.0637, 'grad_norm': 0.3106265366077423, 'learning_rate': 4.025653675382339e-05, 'epoch': 0.81}
{'loss': 0.0775, 'grad_norm': 0.39102208614349365, 'learning_rate': 4.0157868771583626e-05, 'epoch': 0.81}
{'loss': 0.06, 'grad_norm': 0.28198426961898804, 'learning_rate': 4.005920078934386e-05, 'epoch': 0.81}
{'loss': 0.0572, 'grad_norm': 0.2718791365623474, 'learning_rate': 3.99605328071041e-05, 'epoch': 0.81}
{'loss': 0.0546, 'grad_norm': 0.28937938809394836, 'learning_rate': 3.986186482486433e-05, 'epoch': 0.81}
{'loss': 0.0575, 'grad_norm': 0.3169335126876831, 'learning_rate': 3.9763196842624576e-05, 'epoch': 0.81}
{'loss': 0.0724, 'grad_norm': 0.3926071524620056, 'learning_rate': 3.966452886038481e-05, 'epoch': 0.81}
{'loss': 0.0733, 'grad_norm': 0.4075528383255005, 'learning_rate': 3.956586087814505e-05, 'epoch': 0.81}
{'loss': 0.0514, 'grad_norm': 0.2728695571422577, 'learning_rate': 3.946719289590528e-05, 'epoch': 0.81}
{'loss': 0.0705, 'grad_norm': 0.35642707347869873, 'learning_rate': 3.936852491366552e-05, 'epoch': 0.81}
{'loss': 0.0708, 'grad_norm': 0.38967764377593994, 'learning_rate': 3.9269856931425755e-05, 'epoch': 0.81}
{'loss': 0.0643, 'grad_norm': 0.3021968603134155, 'learning_rate': 3.917118894918599e-05, 'epoch': 0.81}
{'loss': 0.0541, 'grad_norm': 0.2846967279911041, 'learning_rate': 3.907252096694623e-05, 'epoch': 0.81}
{'loss': 0.066, 'grad_norm': 0.4332594871520996, 'learning_rate': 3.897385298470647e-05, 'epoch': 0.82}
{'loss': 0.0542, 'grad_norm': 0.26723435521125793, 'learning_rate': 3.8875185002466705e-05, 'epoch': 0.82}
{'loss': 0.0542, 'grad_norm': 0.3512152135372162, 'learning_rate': 3.877651702022694e-05, 'epoch': 0.82}
{'loss': 0.0659, 'grad_norm': 0.34934157133102417, 'learning_rate': 3.8677849037987176e-05, 'epoch': 0.82}
{'loss': 0.0688, 'grad_norm': 0.3647225499153137, 'learning_rate': 3.857918105574741e-05, 'epoch': 0.82}
{'loss': 0.0789, 'grad_norm': 0.33746176958084106, 'learning_rate': 3.8480513073507655e-05, 'epoch': 0.82}
{'loss': 0.0643, 'grad_norm': 0.3376452922821045, 'learning_rate': 3.838184509126789e-05, 'epoch': 0.82}
{'loss': 0.0538, 'grad_norm': 0.2821933627128601, 'learning_rate': 3.8283177109028126e-05, 'epoch': 0.82}
{'loss': 0.057, 'grad_norm': 0.33565109968185425, 'learning_rate': 3.818450912678836e-05, 'epoch': 0.82}
{'loss': 0.0735, 'grad_norm': 0.37485969066619873, 'learning_rate': 3.80858411445486e-05, 'epoch': 0.82}
{'loss': 0.0678, 'grad_norm': 0.33645614981651306, 'learning_rate': 3.7987173162308833e-05, 'epoch': 0.82}
{'loss': 0.0572, 'grad_norm': 0.2515268325805664, 'learning_rate': 3.788850518006907e-05, 'epoch': 0.82}
{'loss': 0.0813, 'grad_norm': 0.42405131459236145, 'learning_rate': 3.778983719782931e-05, 'epoch': 0.82}
{'loss': 0.0652, 'grad_norm': 0.285088449716568, 'learning_rate': 3.769116921558955e-05, 'epoch': 0.82}
{'loss': 0.0812, 'grad_norm': 0.4502301514148712, 'learning_rate': 3.759250123334978e-05, 'epoch': 0.82}
{'loss': 0.0433, 'grad_norm': 0.2029660940170288, 'learning_rate': 3.749383325111002e-05, 'epoch': 0.82}
{'loss': 0.0731, 'grad_norm': 0.36418846249580383, 'learning_rate': 3.7395165268870255e-05, 'epoch': 0.82}
{'loss': 0.0683, 'grad_norm': 0.3001531958580017, 'learning_rate': 3.729649728663049e-05, 'epoch': 0.82}
{'loss': 0.0715, 'grad_norm': 0.34584522247314453, 'learning_rate': 3.7197829304390726e-05, 'epoch': 0.82}
{'loss': 0.0522, 'grad_norm': 0.29772621393203735, 'learning_rate': 3.709916132215097e-05, 'epoch': 0.82}
{'loss': 0.0579, 'grad_norm': 0.47651800513267517, 'learning_rate': 3.7000493339911205e-05, 'epoch': 0.82}
{'loss': 0.0682, 'grad_norm': 0.2843550741672516, 'learning_rate': 3.690182535767144e-05, 'epoch': 0.83}
{'loss': 0.0836, 'grad_norm': 0.4298716187477112, 'learning_rate': 3.6803157375431676e-05, 'epoch': 0.83}
{'loss': 0.0622, 'grad_norm': 0.3105560541152954, 'learning_rate': 3.670448939319191e-05, 'epoch': 0.83}
{'loss': 0.0604, 'grad_norm': 0.43185195326805115, 'learning_rate': 3.660582141095215e-05, 'epoch': 0.83}
{'loss': 0.0638, 'grad_norm': 0.3520934283733368, 'learning_rate': 3.650715342871239e-05, 'epoch': 0.83}
{'loss': 0.0734, 'grad_norm': 0.46960878372192383, 'learning_rate': 3.6408485446472626e-05, 'epoch': 0.83}
{'loss': 0.0836, 'grad_norm': 0.5131434798240662, 'learning_rate': 3.630981746423286e-05, 'epoch': 0.83}
{'loss': 0.0474, 'grad_norm': 0.4312058091163635, 'learning_rate': 3.62111494819931e-05, 'epoch': 0.83}
{'loss': 0.0664, 'grad_norm': 0.49905118346214294, 'learning_rate': 3.6112481499753333e-05, 'epoch': 0.83}
{'loss': 0.0609, 'grad_norm': 0.5508317351341248, 'learning_rate': 3.601381351751357e-05, 'epoch': 0.83}
{'loss': 0.0549, 'grad_norm': 0.21102888882160187, 'learning_rate': 3.5915145535273805e-05, 'epoch': 0.83}
{'loss': 0.0731, 'grad_norm': 0.3054600954055786, 'learning_rate': 3.581647755303405e-05, 'epoch': 0.83}
{'loss': 0.0713, 'grad_norm': 0.5352023839950562, 'learning_rate': 3.571780957079428e-05, 'epoch': 0.83}
{'loss': 0.0679, 'grad_norm': 0.2874784767627716, 'learning_rate': 3.561914158855452e-05, 'epoch': 0.83}
{'loss': 0.0698, 'grad_norm': 0.3627907633781433, 'learning_rate': 3.5520473606314755e-05, 'epoch': 0.83}
{'loss': 0.0718, 'grad_norm': 0.3467831313610077, 'learning_rate': 3.542180562407499e-05, 'epoch': 0.83}
{'loss': 0.0804, 'grad_norm': 0.40753626823425293, 'learning_rate': 3.5323137641835226e-05, 'epoch': 0.83}
{'loss': 0.0481, 'grad_norm': 0.24363858997821808, 'learning_rate': 3.522446965959546e-05, 'epoch': 0.83}
{'loss': 0.0635, 'grad_norm': 0.3473144471645355, 'learning_rate': 3.5125801677355705e-05, 'epoch': 0.83}
{'loss': 0.0581, 'grad_norm': 0.2968626916408539, 'learning_rate': 3.502713369511594e-05, 'epoch': 0.83}
{'loss': 0.0648, 'grad_norm': 0.35884687304496765, 'learning_rate': 3.4928465712876176e-05, 'epoch': 0.83}
{'loss': 0.0504, 'grad_norm': 0.21212635934352875, 'learning_rate': 3.482979773063641e-05, 'epoch': 0.84}
{'loss': 0.0566, 'grad_norm': 0.25314968824386597, 'learning_rate': 3.473112974839665e-05, 'epoch': 0.84}
{'loss': 0.0694, 'grad_norm': 0.44065338373184204, 'learning_rate': 3.4632461766156884e-05, 'epoch': 0.84}
{'loss': 0.0672, 'grad_norm': 0.5847485661506653, 'learning_rate': 3.4533793783917126e-05, 'epoch': 0.84}
{'loss': 0.0454, 'grad_norm': 0.3365529775619507, 'learning_rate': 3.443512580167736e-05, 'epoch': 0.84}
{'loss': 0.0793, 'grad_norm': 0.39184391498565674, 'learning_rate': 3.43364578194376e-05, 'epoch': 0.84}
{'loss': 0.0592, 'grad_norm': 0.3464673161506653, 'learning_rate': 3.4237789837197834e-05, 'epoch': 0.84}
{'loss': 0.074, 'grad_norm': 0.49026450514793396, 'learning_rate': 3.413912185495807e-05, 'epoch': 0.84}
{'loss': 0.0613, 'grad_norm': 0.38714393973350525, 'learning_rate': 3.4040453872718305e-05, 'epoch': 0.84}
{'loss': 0.0565, 'grad_norm': 0.3104616403579712, 'learning_rate': 3.394178589047854e-05, 'epoch': 0.84}
{'loss': 0.0588, 'grad_norm': 0.2673192024230957, 'learning_rate': 3.3843117908238783e-05, 'epoch': 0.84}
{'loss': 0.0668, 'grad_norm': 0.4081900417804718, 'learning_rate': 3.374444992599902e-05, 'epoch': 0.84}
{'loss': 0.0636, 'grad_norm': 0.3323088586330414, 'learning_rate': 3.3645781943759255e-05, 'epoch': 0.84}
{'loss': 0.0691, 'grad_norm': 0.45550277829170227, 'learning_rate': 3.354711396151949e-05, 'epoch': 0.84}
{'loss': 0.0589, 'grad_norm': 0.33597761392593384, 'learning_rate': 3.3448445979279727e-05, 'epoch': 0.84}
{'loss': 0.0731, 'grad_norm': 0.3612111508846283, 'learning_rate': 3.334977799703996e-05, 'epoch': 0.84}
 84%|████████▍ | 1797/2134 [46:09<05:11,  1.08it/s]
 84%|████████▍ | 1798/2134 [46:10<05:10,  1.08it/s]
                                                   

 84%|████████▍ | 1798/2134 [46:10<05:10,  1.08it/s]
 84%|████████▍ | 1799/2134 [46:11<05:10,  1.08it/s]
                                                   

 84%|████████▍ | 1799/2134 [46:11<05:10,  1.08it/s]
 84%|████████▍ | 1800/2134 [46:25<27:05,  4.87s/it]
                                                   

 84%|████████▍ | 1800/2134 [46:25<27:05,  4.87s/it]
 84%|████████▍ | 1801/2134 [46:26<20:27,  3.69s/it]
                                                   

 84%|████████▍ | 1801/2134 [46:26<20:27,  3.69s/it]
 84%|████████▍ | 1802/2134 [46:27<15:49,  2.86s/it]
                                                   

 84%|████████▍ | 1802/2134 [46:27<15:49,  2.86s/it]
 84%|████████▍ | 1803/2134 [46:28<12:33,  2.28s/it]
                                                   

 84%|████████▍ | 1803/2134 [46:28<12:33,  2.28s/it]
 85%|████████▍ | 1804/2134 [46:29<10:17,  1.87s/it]
                                                   

 85%|████████▍ | 1804/2134 [46:29<10:17,  1.87s/it]
 85%|████████▍ | 1805/2134 [46:30<08:42,  1.59s/it]
                                                   

 85%|████████▍ | 1805/2134 [46:30<08:42,  1.59s/it]
 85%|████████▍ | 1806/2134 [46:31<07:35,  1.39s/it]
                                                   

 85%|████████▍ | 1806/2134 [46:31<07:35,  1.39s/it]
 85%|████████▍ | 1807/2134 [46:32<06:48,  1.25s/it]
                                                   

 85%|████████▍ | 1807/2134 [46:32<06:48,  1.25s/it]
 85%|████████▍ | 1808/2134 [46:33<06:15,  1.15s/it]
                                                   

 85%|████████▍ | 1808/2134 [46:33<06:15,  1.15s/it]
 85%|████████▍ | 1809/2134 [46:34<05:51,  1.08s/it]
                                                   

 85%|████████▍ | 1809/2134 [46:34<05:51,  1.08s/it]
 85%|████████▍ | 1810/2134 [46:34<05:34,  1.03s/it]
                                                   

 85%|████████▍ | 1810/2134 [46:34<05:34,  1.03s/it]
 85%|████████▍ | 1811/2134 [46:35<05:22,  1.00it/s]
                                                   

 85%|████████▍ | 1811/2134 [46:35<05:22,  1.00it/s]
 85%|████████▍ | 1812/2134 [46:36<05:14,  1.02it/s]
                                                   

 85%|████████▍ | 1812/2134 [46:36<05:14,  1.02it/s]
 85%|████████▍ | 1813/2134 [46:37<05:07,  1.04it/s]
                                                   

 85%|████████▍ | 1813/2134 [46:37<05:07,  1.04it/s]
 85%|████████▌ | 1814/2134 [46:38<05:03,  1.05it/s]
                                                   

 85%|████████▌ | 1814/2134 [46:38<05:03,  1.05it/s]
 85%|████████▌ | 1815/2134 [46:39<04:59,  1.06it/s]
                                                   

 85%|████████▌ | 1815/2134 [46:39<04:59,  1.06it/s]
 85%|████████▌ | 1816/2134 [46:40<04:56,  1.07it/s]
                                                   

 85%|████████▌ | 1816/2134 [46:40<04:56,  1.07it/s]
 85%|████████▌ | 1817/2134 [46:41<04:54,  1.08it/s]
                                                   

 85%|████████▌ | 1817/2134 [46:41<04:54,  1.08it/s]
 85%|████████▌ | 1818/2134 [46:42<04:52,  1.08it/s]
                                                   

 85%|████████▌ | 1818/2134 [46:42<04:52,  1.08it/s]
 85%|████████▌ | 1819/2134 [46:43<04:50,  1.08it/s]
                                                   

 85%|████████▌ | 1819/2134 [46:43<04:50,  1.08it/s]
 85%|████████▌ | 1820/2134 [46:44<04:49,  1.08it/s]
                                                   

 85%|████████▌ | 1820/2134 [46:44<04:49,  1.08it/s]
 85%|████████▌ | 1821/2134 [46:45<04:48,  1.09it/s]
                                                   

 85%|████████▌ | 1821/2134 [46:45<04:48,  1.09it/s]
 85%|████████▌ | 1822/2134 [46:45<04:46,  1.09it/s]
                                                   

 85%|████████▌ | 1822/2134 [46:45<04:46,  1.09it/s]
 85%|████████▌ | 1823/2134 [46:46<04:45,  1.09it/s]
                                                   

 85%|████████▌ | 1823/2134 [46:46<04:45,  1.09it/s]
 85%|████████▌ | 1824/2134 [46:47<04:44,  1.09it/s]
                                                   

 85%|████████▌ | 1824/2134 [46:47<04:44,  1.09it/s]
 86%|████████▌ | 1825/2134 [47:01<24:41,  4.79s/it]
                                                   

 86%|████████▌ | 1825/2134 [47:01<24:41,  4.79s/it]
 86%|████████▌ | 1826/2134 [47:02<18:39,  3.63s/it]
                                                   

 86%|████████▌ | 1826/2134 [47:02<18:39,  3.63s/it]
 86%|████████▌ | 1827/2134 [47:03<14:26,  2.82s/it]
                                                   

 86%|████████▌ | 1827/2134 [47:03<14:26,  2.82s/it]
 86%|████████▌ | 1828/2134 [47:04<11:29,  2.25s/it]
                                                   

 86%|████████▌ | 1828/2134 [47:04<11:29,  2.25s/it]
 86%|████████▌ | 1829/2134 [47:05<09:25,  1.85s/it]
                                                   

 86%|████████▌ | 1829/2134 [47:05<09:25,  1.85s/it]
 86%|████████▌ | 1830/2134 [47:06<07:58,  1.58s/it]
                                                   

 86%|████████▌ | 1830/2134 [47:06<07:58,  1.58s/it]
 86%|████████▌ | 1831/2134 [47:07<06:57,  1.38s/it]
                                                   

 86%|████████▌ | 1831/2134 [47:07<06:57,  1.38s/it]
 86%|████████▌ | 1832/2134 [47:08<06:14,  1.24s/it]
                                                   

 86%|████████▌ | 1832/2134 [47:08<06:14,  1.24s/it]
 86%|████████▌ | 1833/2134 [47:09<05:44,  1.14s/it]
                                                   

 86%|████████▌ | 1833/2134 [47:09<05:44,  1.14s/it]
 86%|████████▌ | 1834/2134 [47:09<05:23,  1.08s/it]
                                                   

 86%|████████▌ | 1834/2134 [47:09<05:23,  1.08s/it]
 86%|████████▌ | 1835/2134 [47:10<05:07,  1.03s/it]
                                                   

 86%|████████▌ | 1835/2134 [47:10<05:07,  1.03s/it]
 86%|████████▌ | 1836/2134 [47:11<04:56,  1.00it/s]
                                                   

 86%|████████▌ | 1836/2134 [47:11<04:56,  1.00it/s]
 86%|████████▌ | 1837/2134 [47:12<04:49,  1.02it/s]
                                                   

 86%|████████▌ | 1837/2134 [47:12<04:49,  1.02it/s]
 86%|████████▌ | 1838/2134 [47:13<04:43,  1.04it/s]
                                                   

 86%|████████▌ | 1838/2134 [47:13<04:43,  1.04it/s]
 86%|████████▌ | 1839/2134 [47:14<04:39,  1.06it/s]
                                                   

 86%|████████▌ | 1839/2134 [47:14<04:39,  1.06it/s]
 86%|████████▌ | 1840/2134 [47:15<04:36,  1.07it/s]
                                                   

 86%|████████▌ | 1840/2134 [47:15<04:36,  1.07it/s]
 86%|████████▋ | 1841/2134 [47:16<04:33,  1.07it/s]
                                                   

 86%|████████▋ | 1841/2134 [47:16<04:33,  1.07it/s]
 86%|████████▋ | 1842/2134 [47:17<04:31,  1.08it/s]
                                                   

 86%|████████▋ | 1842/2134 [47:17<04:31,  1.08it/s]
 86%|████████▋ | 1843/2134 [47:18<04:29,  1.08it/s]
                                                   

 86%|████████▋ | 1843/2134 [47:18<04:29,  1.08it/s]
 86%|████████▋ | 1844/2134 [47:19<04:27,  1.08it/s]
                                                   

 86%|████████▋ | 1844/2134 [47:19<04:27,  1.08it/s]
 86%|████████▋ | 1845/2134 [47:20<04:26,  1.09it/s]
                                                   

 86%|████████▋ | 1845/2134 [47:20<04:26,  1.09it/s]
 87%|████████▋ | 1846/2134 [47:20<04:25,  1.09it/s]
                                                   

 87%|████████▋ | 1846/2134 [47:20<04:25,  1.09it/s]
 87%|████████▋ | 1847/2134 [47:21<04:23,  1.09it/s]
                                                   

 87%|████████▋ | 1847/2134 [47:21<04:23,  1.09it/s]
 87%|████████▋ | 1848/2134 [47:22<04:23,  1.09it/s]
                                                   

 87%|████████▋ | 1848/2134 [47:22<04:23,  1.09it/s]
 87%|████████▋ | 1849/2134 [47:23<04:21,  1.09it/s]
                                                   

 87%|████████▋ | 1849/2134 [47:23<04:21,  1.09it/s]
 87%|████████▋ | 1850/2134 [47:37<22:52,  4.83s/it]
                                                   

 87%|████████▋ | 1850/2134 [47:37<22:52,  4.83s/it]
 87%|████████▋ | 1851/2134 [47:38<17:16,  3.66s/it]
                                                   

 87%|████████▋ | 1851/2134 [47:38<17:16,  3.66s/it]
 87%|████████▋ | 1852/2134 [47:39<13:20,  2.84s/it]
                                                   

 87%|████████▋ | 1852/2134 [47:39<13:20,  2.84s/it]
 87%|████████▋ | 1853/2134 [47:40<10:36,  2.26s/it]
                                                   

 87%|████████▋ | 1853/2134 [47:40<10:36,  2.26s/it]
 87%|████████▋ | 1854/2134 [47:41<08:41,  1.86s/it]
                                                   

 87%|████████▋ | 1854/2134 [47:41<08:41,  1.86s/it]
 87%|████████▋ | 1855/2134 [47:42<07:20,  1.58s/it]
                                                   

 87%|████████▋ | 1855/2134 [47:42<07:20,  1.58s/it]
 87%|████████▋ | 1856/2134 [47:43<06:24,  1.38s/it]
                                                   

 87%|████████▋ | 1856/2134 [47:43<06:24,  1.38s/it]
 87%|████████▋ | 1857/2134 [47:44<05:44,  1.25s/it]
                                                   

 87%|████████▋ | 1857/2134 [47:44<05:44,  1.25s/it]
 87%|████████▋ | 1858/2134 [47:45<05:16,  1.15s/it]
                                                   

 87%|████████▋ | 1858/2134 [47:45<05:16,  1.15s/it]
 87%|████████▋ | 1859/2134 [47:46<04:56,  1.08s/it]
                                                   

 87%|████████▋ | 1859/2134 [47:46<04:56,  1.08s/it]
 87%|████████▋ | 1860/2134 [47:46<04:42,  1.03s/it]
                                                   

 87%|████████▋ | 1860/2134 [47:46<04:42,  1.03s/it]
 87%|████████▋ | 1861/2134 [47:47<04:33,  1.00s/it]
                                                   

 87%|████████▋ | 1861/2134 [47:47<04:33,  1.00s/it]
 87%|████████▋ | 1862/2134 [47:48<04:26,  1.02it/s]
                                                   

 87%|████████▋ | 1862/2134 [47:48<04:26,  1.02it/s]
 87%|████████▋ | 1863/2134 [47:49<04:21,  1.04it/s]
                                                   

 87%|████████▋ | 1863/2134 [47:49<04:21,  1.04it/s]
 87%|████████▋ | 1864/2134 [47:50<04:17,  1.05it/s]
                                                   

 87%|████████▋ | 1864/2134 [47:50<04:17,  1.05it/s]
 87%|████████▋ | 1865/2134 [47:51<04:14,  1.06it/s]
                                                   

 87%|████████▋ | 1865/2134 [47:51<04:14,  1.06it/s]
 87%|████████▋ | 1866/2134 [47:52<04:11,  1.06it/s]
                                                   

 87%|████████▋ | 1866/2134 [47:52<04:11,  1.06it/s]
 87%|████████▋ | 1867/2134 [47:53<04:09,  1.07it/s]
                                                   

 87%|████████▋ | 1867/2134 [47:53<04:09,  1.07it/s]
 88%|████████▊ | 1868/2134 [47:54<04:07,  1.07it/s]
                                                   

 88%|████████▊ | 1868/2134 [47:54<04:07,  1.07it/s]
 88%|████████▊ | 1869/2134 [47:55<04:08,  1.07it/s]
                                                   

 88%|████████▊ | 1869/2134 [47:55<04:08,  1.07it/s]
 88%|████████▊ | 1870/2134 [47:56<04:06,  1.07it/s]
                                                   

 88%|████████▊ | 1870/2134 [47:56<04:06,  1.07it/s]
 88%|████████▊ | 1871/2134 [47:57<04:04,  1.08it/s]
                                                   

 88%|████████▊ | 1871/2134 [47:57<04:04,  1.08it/s]
 88%|████████▊ | 1872/2134 [47:58<04:02,  1.08it/s]
                                                   

 88%|████████▊ | 1872/2134 [47:58<04:02,  1.08it/s]
 88%|████████▊ | 1873/2134 [47:58<04:01,  1.08it/s]
                                                   

 88%|████████▊ | 1873/2134 [47:58<04:01,  1.08it/s]
 88%|████████▊ | 1874/2134 [47:59<04:00,  1.08it/s]
                                                   

 88%|████████▊ | 1874/2134 [47:59<04:00,  1.08it/s]
 88%|████████▊ | 1875/2134 [48:13<20:44,  4.80s/it]
                                                   
{'loss': 0.0631, 'grad_norm': 0.31310126185417175, 'learning_rate': 3.32511100148002e-05, 'epoch': 0.84}
{'loss': 0.0785, 'grad_norm': 0.5206511616706848, 'learning_rate': 3.315244203256044e-05, 'epoch': 0.84}
{'loss': 0.0651, 'grad_norm': 0.31519901752471924, 'learning_rate': 3.3053774050320676e-05, 'epoch': 0.84}
{'loss': 0.0639, 'grad_norm': 0.2689222991466522, 'learning_rate': 3.295510606808091e-05, 'epoch': 0.84}
{'loss': 0.0575, 'grad_norm': 0.2580030858516693, 'learning_rate': 3.285643808584115e-05, 'epoch': 0.84}
{'loss': 0.0581, 'grad_norm': 0.2869168519973755, 'learning_rate': 3.2757770103601384e-05, 'epoch': 0.84}
{'loss': 0.0839, 'grad_norm': 0.39389142394065857, 'learning_rate': 3.265910212136162e-05, 'epoch': 0.85}
{'loss': 0.0714, 'grad_norm': 0.2563812732696533, 'learning_rate': 3.256043413912186e-05, 'epoch': 0.85}
{'loss': 0.0638, 'grad_norm': 0.3079060912132263, 'learning_rate': 3.24617661568821e-05, 'epoch': 0.85}
{'loss': 0.0534, 'grad_norm': 0.22285163402557373, 'learning_rate': 3.2363098174642334e-05, 'epoch': 0.85}
{'loss': 0.0621, 'grad_norm': 0.36322087049484253, 'learning_rate': 3.226443019240257e-05, 'epoch': 0.85}
{'loss': 0.0474, 'grad_norm': 0.19590671360492706, 'learning_rate': 3.2165762210162805e-05, 'epoch': 0.85}
{'loss': 0.0561, 'grad_norm': 0.2728983759880066, 'learning_rate': 3.206709422792304e-05, 'epoch': 0.85}
{'loss': 0.0717, 'grad_norm': 0.3254879415035248, 'learning_rate': 3.196842624568328e-05, 'epoch': 0.85}
{'loss': 0.0584, 'grad_norm': 0.30698415637016296, 'learning_rate': 3.186975826344352e-05, 'epoch': 0.85}
{'loss': 0.0534, 'grad_norm': 0.24736358225345612, 'learning_rate': 3.1771090281203755e-05, 'epoch': 0.85}
{'loss': 0.0555, 'grad_norm': 0.32540902495384216, 'learning_rate': 3.167242229896399e-05, 'epoch': 0.85}
{'loss': 0.0617, 'grad_norm': 0.2564232051372528, 'learning_rate': 3.1573754316724227e-05, 'epoch': 0.85}
{'loss': 0.0505, 'grad_norm': 0.23619386553764343, 'learning_rate': 3.147508633448446e-05, 'epoch': 0.85}
{'loss': 0.0729, 'grad_norm': 0.4356502592563629, 'learning_rate': 3.13764183522447e-05, 'epoch': 0.85}
{'loss': 0.0638, 'grad_norm': 0.2940463721752167, 'learning_rate': 3.1277750370004934e-05, 'epoch': 0.85}
{'loss': 0.065, 'grad_norm': 0.30124229192733765, 'learning_rate': 3.1179082387765176e-05, 'epoch': 0.85}
{'loss': 0.0733, 'grad_norm': 0.36797434091567993, 'learning_rate': 3.108041440552541e-05, 'epoch': 0.85}
{'loss': 0.0542, 'grad_norm': 0.2586251497268677, 'learning_rate': 3.098174642328565e-05, 'epoch': 0.85}
{'loss': 0.0539, 'grad_norm': 0.2351747751235962, 'learning_rate': 3.0883078441045884e-05, 'epoch': 0.85}
{'loss': 0.0559, 'grad_norm': 0.22058072686195374, 'learning_rate': 3.078441045880612e-05, 'epoch': 0.85}
{'loss': 0.079, 'grad_norm': 0.4066697061061859, 'learning_rate': 3.0685742476566355e-05, 'epoch': 0.85}
{'loss': 0.0724, 'grad_norm': 0.36584436893463135, 'learning_rate': 3.05870744943266e-05, 'epoch': 0.86}
{'loss': 0.0721, 'grad_norm': 0.39581429958343506, 'learning_rate': 3.048840651208683e-05, 'epoch': 0.86}
{'loss': 0.0607, 'grad_norm': 0.29610130190849304, 'learning_rate': 3.0389738529847066e-05, 'epoch': 0.86}
{'loss': 0.0551, 'grad_norm': 0.258071631193161, 'learning_rate': 3.0291070547607302e-05, 'epoch': 0.86}
{'loss': 0.0477, 'grad_norm': 0.2536728084087372, 'learning_rate': 3.0192402565367538e-05, 'epoch': 0.86}
{'loss': 0.0683, 'grad_norm': 0.37448927760124207, 'learning_rate': 3.0093734583127773e-05, 'epoch': 0.86}
{'loss': 0.0523, 'grad_norm': 0.24092158675193787, 'learning_rate': 2.9995066600888013e-05, 'epoch': 0.86}
{'loss': 0.0859, 'grad_norm': 0.4221671223640442, 'learning_rate': 2.9896398618648252e-05, 'epoch': 0.86}
{'loss': 0.07, 'grad_norm': 0.34225088357925415, 'learning_rate': 2.9797730636408487e-05, 'epoch': 0.86}
{'loss': 0.0549, 'grad_norm': 0.24964489042758942, 'learning_rate': 2.9699062654168723e-05, 'epoch': 0.86}
{'loss': 0.06, 'grad_norm': 0.3164115846157074, 'learning_rate': 2.960039467192896e-05, 'epoch': 0.86}
{'loss': 0.0618, 'grad_norm': 0.29017794132232666, 'learning_rate': 2.9501726689689195e-05, 'epoch': 0.86}
{'loss': 0.0609, 'grad_norm': 0.35847803950309753, 'learning_rate': 2.9403058707449434e-05, 'epoch': 0.86}
{'loss': 0.0654, 'grad_norm': 0.37788206338882446, 'learning_rate': 2.930439072520967e-05, 'epoch': 0.86}
{'loss': 0.07, 'grad_norm': 0.3551058769226074, 'learning_rate': 2.920572274296991e-05, 'epoch': 0.86}
{'loss': 0.0703, 'grad_norm': 0.39837345480918884, 'learning_rate': 2.9107054760730145e-05, 'epoch': 0.86}
{'loss': 0.079, 'grad_norm': 0.4534831941127777, 'learning_rate': 2.900838677849038e-05, 'epoch': 0.86}
{'loss': 0.0409, 'grad_norm': 0.22857031226158142, 'learning_rate': 2.8909718796250616e-05, 'epoch': 0.86}
{'loss': 0.0596, 'grad_norm': 0.2966306507587433, 'learning_rate': 2.8811050814010852e-05, 'epoch': 0.86}
{'loss': 0.0586, 'grad_norm': 0.32721397280693054, 'learning_rate': 2.871238283177109e-05, 'epoch': 0.86}
{'loss': 0.0692, 'grad_norm': 0.50080806016922, 'learning_rate': 2.861371484953133e-05, 'epoch': 0.86}
{'loss': 0.0459, 'grad_norm': 0.23912766575813293, 'learning_rate': 2.8515046867291566e-05, 'epoch': 0.87}
{'loss': 0.0615, 'grad_norm': 0.3212105333805084, 'learning_rate': 2.8416378885051802e-05, 'epoch': 0.87}
{'loss': 0.0487, 'grad_norm': 0.26880592107772827, 'learning_rate': 2.8317710902812038e-05, 'epoch': 0.87}
{'loss': 0.0786, 'grad_norm': 0.5342605710029602, 'learning_rate': 2.8219042920572273e-05, 'epoch': 0.87}
{'loss': 0.0635, 'grad_norm': 0.2634895145893097, 'learning_rate': 2.8120374938332513e-05, 'epoch': 0.87}
{'loss': 0.0903, 'grad_norm': 0.44297072291374207, 'learning_rate': 2.802170695609275e-05, 'epoch': 0.87}
{'loss': 0.0513, 'grad_norm': 0.31091809272766113, 'learning_rate': 2.7923038973852988e-05, 'epoch': 0.87}
{'loss': 0.0497, 'grad_norm': 0.2185470461845398, 'learning_rate': 2.7824370991613223e-05, 'epoch': 0.87}
{'loss': 0.0554, 'grad_norm': 0.24349382519721985, 'learning_rate': 2.772570300937346e-05, 'epoch': 0.87}
{'loss': 0.0642, 'grad_norm': 0.24473541975021362, 'learning_rate': 2.7627035027133695e-05, 'epoch': 0.87}
{'loss': 0.0642, 'grad_norm': 0.3143111765384674, 'learning_rate': 2.7528367044893934e-05, 'epoch': 0.87}
{'loss': 0.0538, 'grad_norm': 0.24109232425689697, 'learning_rate': 2.742969906265417e-05, 'epoch': 0.87}
{'loss': 0.0604, 'grad_norm': 0.25842639803886414, 'learning_rate': 2.7331031080414406e-05, 'epoch': 0.87}
{'loss': 0.0578, 'grad_norm': 0.2851792275905609, 'learning_rate': 2.7232363098174645e-05, 'epoch': 0.87}
{'loss': 0.0634, 'grad_norm': 0.25347909331321716, 'learning_rate': 2.713369511593488e-05, 'epoch': 0.87}
{'loss': 0.0773, 'grad_norm': 0.3554309010505676, 'learning_rate': 2.7035027133695116e-05, 'epoch': 0.87}
{'loss': 0.0513, 'grad_norm': 0.22003385424613953, 'learning_rate': 2.6936359151455352e-05, 'epoch': 0.87}
{'loss': 0.0652, 'grad_norm': 0.3630915582180023, 'learning_rate': 2.683769116921559e-05, 'epoch': 0.87}
{'loss': 0.0507, 'grad_norm': 0.21316292881965637, 'learning_rate': 2.6739023186975827e-05, 'epoch': 0.87}
{'loss': 0.0725, 'grad_norm': 0.38764211535453796, 'learning_rate': 2.6640355204736066e-05, 'epoch': 0.87}
{'loss': 0.064, 'grad_norm': 0.3291684091091156, 'learning_rate': 2.6541687222496302e-05, 'epoch': 0.87}
{'loss': 0.0555, 'grad_norm': 0.30222180485725403, 'learning_rate': 2.6443019240256538e-05, 'epoch': 0.87}
{'loss': 0.0539, 'grad_norm': 0.30389532446861267, 'learning_rate': 2.6344351258016774e-05, 'epoch': 0.88}
{'loss': 0.0453, 'grad_norm': 0.2107659876346588, 'learning_rate': 2.6245683275777013e-05, 'epoch': 0.88}
{'loss': 0.0463, 'grad_norm': 0.2784815728664398, 'learning_rate': 2.614701529353725e-05, 'epoch': 0.88}
{'loss': 0.0584, 'grad_norm': 0.2907443940639496, 'learning_rate': 2.6048347311297484e-05, 'epoch': 0.88}
{'loss': 0.0762, 'grad_norm': 0.3737182915210724, 'learning_rate': 2.5949679329057723e-05, 'epoch': 0.88}
{'loss': 0.0544, 'grad_norm': 0.2541409134864807, 'learning_rate': 2.585101134681796e-05, 'epoch': 0.88}
{'loss': 0.0531, 'grad_norm': 0.27253228425979614, 'learning_rate': 2.5752343364578195e-05, 'epoch': 0.88}
{'loss': 0.0537, 'grad_norm': 0.40999835729599, 'learning_rate': 2.565367538233843e-05, 'epoch': 0.88}
 88%|████████▊ | 1875/2134 [48:13<20:44,  4.80s/it]
 88%|████████▊ | 1876/2134 [48:14<15:40,  3.65s/it]
                                                   

 88%|████████▊ | 1876/2134 [48:14<15:40,  3.65s/it]
 88%|████████▊ | 1877/2134 [48:15<12:07,  2.83s/it]
                                                   

 88%|████████▊ | 1877/2134 [48:15<12:07,  2.83s/it]
 88%|████████▊ | 1878/2134 [48:16<09:38,  2.26s/it]
                                                   

 88%|████████▊ | 1878/2134 [48:16<09:38,  2.26s/it]
 88%|████████▊ | 1879/2134 [48:17<07:54,  1.86s/it]
                                                   

 88%|████████▊ | 1879/2134 [48:17<07:54,  1.86s/it]
 88%|████████▊ | 1880/2134 [48:18<06:41,  1.58s/it]
                                                   

 88%|████████▊ | 1880/2134 [48:18<06:41,  1.58s/it]
 88%|████████▊ | 1881/2134 [48:19<05:50,  1.38s/it]
                                                   

 88%|████████▊ | 1881/2134 [48:19<05:50,  1.38s/it]
 88%|████████▊ | 1882/2134 [48:20<05:15,  1.25s/it]
                                                   

 88%|████████▊ | 1882/2134 [48:20<05:15,  1.25s/it]
 88%|████████▊ | 1883/2134 [48:21<04:51,  1.16s/it]
                                                   

 88%|████████▊ | 1883/2134 [48:21<04:51,  1.16s/it]
 88%|████████▊ | 1884/2134 [48:22<04:36,  1.10s/it]
                                                   

 88%|████████▊ | 1884/2134 [48:22<04:36,  1.10s/it]
 88%|████████▊ | 1885/2134 [48:23<04:22,  1.05s/it]
                                                   

 88%|████████▊ | 1885/2134 [48:23<04:22,  1.05s/it]
 88%|████████▊ | 1886/2134 [48:24<04:12,  1.02s/it]
                                                   

 88%|████████▊ | 1886/2134 [48:24<04:12,  1.02s/it]
 88%|████████▊ | 1887/2134 [48:25<04:05,  1.01it/s]
                                                   

 88%|████████▊ | 1887/2134 [48:25<04:05,  1.01it/s]
 88%|████████▊ | 1888/2134 [48:25<03:59,  1.03it/s]
                                                   

 88%|████████▊ | 1888/2134 [48:25<03:59,  1.03it/s]
 89%|████████▊ | 1889/2134 [48:26<03:55,  1.04it/s]
                                                   

 89%|████████▊ | 1889/2134 [48:26<03:55,  1.04it/s]
 89%|████████▊ | 1890/2134 [48:27<03:51,  1.05it/s]
                                                   

 89%|████████▊ | 1890/2134 [48:27<03:51,  1.05it/s]
 89%|████████▊ | 1891/2134 [48:28<03:49,  1.06it/s]
                                                   

 89%|████████▊ | 1891/2134 [48:28<03:49,  1.06it/s]
 89%|████████▊ | 1892/2134 [48:29<03:47,  1.06it/s]
                                                   

 89%|████████▊ | 1892/2134 [48:29<03:47,  1.06it/s]
 89%|████████▊ | 1893/2134 [48:30<03:45,  1.07it/s]
                                                   

 89%|████████▊ | 1893/2134 [48:30<03:45,  1.07it/s]
 89%|████████▉ | 1894/2134 [48:31<03:44,  1.07it/s]
                                                   

 89%|████████▉ | 1894/2134 [48:31<03:44,  1.07it/s]
 89%|████████▉ | 1895/2134 [48:32<03:43,  1.07it/s]
                                                   

 89%|████████▉ | 1895/2134 [48:32<03:43,  1.07it/s]
 89%|████████▉ | 1896/2134 [48:33<03:41,  1.07it/s]
                                                   

 89%|████████▉ | 1896/2134 [48:33<03:41,  1.07it/s]
 89%|████████▉ | 1897/2134 [48:34<03:41,  1.07it/s]
                                                   

 89%|████████▉ | 1897/2134 [48:34<03:41,  1.07it/s]
 89%|████████▉ | 1898/2134 [48:35<03:40,  1.07it/s]
                                                   

 89%|████████▉ | 1898/2134 [48:35<03:40,  1.07it/s]
 89%|████████▉ | 1899/2134 [48:36<03:39,  1.07it/s]
                                                   

 89%|████████▉ | 1899/2134 [48:36<03:39,  1.07it/s]
 89%|████████▉ | 1900/2134 [48:50<19:14,  4.93s/it]
                                                   

 89%|████████▉ | 1900/2134 [48:50<19:14,  4.93s/it]
 89%|████████▉ | 1901/2134 [48:51<14:30,  3.73s/it]
                                                   

 89%|████████▉ | 1901/2134 [48:51<14:30,  3.73s/it]
 89%|████████▉ | 1902/2134 [48:52<11:11,  2.89s/it]
                                                   

 89%|████████▉ | 1902/2134 [48:52<11:11,  2.89s/it]
 89%|████████▉ | 1903/2134 [48:53<08:52,  2.30s/it]
                                                   

 89%|████████▉ | 1903/2134 [48:53<08:52,  2.30s/it]
 89%|████████▉ | 1904/2134 [48:54<07:15,  1.89s/it]
                                                   

 89%|████████▉ | 1904/2134 [48:54<07:15,  1.89s/it]
 89%|████████▉ | 1905/2134 [48:55<06:07,  1.60s/it]
                                                   

 89%|████████▉ | 1905/2134 [48:55<06:07,  1.60s/it]
 89%|████████▉ | 1906/2134 [48:56<05:19,  1.40s/it]
                                                   

 89%|████████▉ | 1906/2134 [48:56<05:19,  1.40s/it]
 89%|████████▉ | 1907/2134 [48:56<04:46,  1.26s/it]
                                                   

 89%|████████▉ | 1907/2134 [48:56<04:46,  1.26s/it]
 89%|████████▉ | 1908/2134 [48:57<04:23,  1.16s/it]
                                                   

 89%|████████▉ | 1908/2134 [48:57<04:23,  1.16s/it]
 89%|████████▉ | 1909/2134 [48:58<04:06,  1.09s/it]
                                                   

 89%|████████▉ | 1909/2134 [48:58<04:06,  1.09s/it]
 90%|████████▉ | 1910/2134 [48:59<03:53,  1.04s/it]
                                                   

 90%|████████▉ | 1910/2134 [48:59<03:53,  1.04s/it]
 90%|████████▉ | 1911/2134 [49:00<03:45,  1.01s/it]
                                                   

 90%|████████▉ | 1911/2134 [49:00<03:45,  1.01s/it]
 90%|████████▉ | 1912/2134 [49:01<03:39,  1.01it/s]
                                                   

 90%|████████▉ | 1912/2134 [49:01<03:39,  1.01it/s]
 90%|████████▉ | 1913/2134 [49:02<03:34,  1.03it/s]
                                                   

 90%|████████▉ | 1913/2134 [49:02<03:34,  1.03it/s]
 90%|████████▉ | 1914/2134 [49:03<03:30,  1.04it/s]
                                                   

 90%|████████▉ | 1914/2134 [49:03<03:30,  1.04it/s]
 90%|████████▉ | 1915/2134 [49:04<03:27,  1.05it/s]
                                                   

 90%|████████▉ | 1915/2134 [49:04<03:27,  1.05it/s]
 90%|████████▉ | 1916/2134 [49:05<03:25,  1.06it/s]
                                                   

 90%|████████▉ | 1916/2134 [49:05<03:25,  1.06it/s]
 90%|████████▉ | 1917/2134 [49:06<03:24,  1.06it/s]
                                                   

 90%|████████▉ | 1917/2134 [49:06<03:24,  1.06it/s]
 90%|████████▉ | 1918/2134 [49:07<03:22,  1.07it/s]
                                                   

 90%|████████▉ | 1918/2134 [49:07<03:22,  1.07it/s]
 90%|████████▉ | 1919/2134 [49:08<03:21,  1.07it/s]
                                                   

 90%|████████▉ | 1919/2134 [49:08<03:21,  1.07it/s]
 90%|████████▉ | 1920/2134 [49:09<03:19,  1.07it/s]
                                                   

 90%|████████▉ | 1920/2134 [49:09<03:19,  1.07it/s]
 90%|█████████ | 1921/2134 [49:09<03:18,  1.07it/s]
                                                   

 90%|█████████ | 1921/2134 [49:10<03:18,  1.07it/s]
 90%|█████████ | 1922/2134 [49:10<03:17,  1.07it/s]
                                                   

 90%|█████████ | 1922/2134 [49:10<03:17,  1.07it/s]
 90%|█████████ | 1923/2134 [49:11<03:16,  1.07it/s]
                                                   

 90%|█████████ | 1923/2134 [49:11<03:16,  1.07it/s]
 90%|█████████ | 1924/2134 [49:12<03:15,  1.07it/s]
                                                   

 90%|█████████ | 1924/2134 [49:12<03:15,  1.07it/s]
 90%|█████████ | 1925/2134 [49:27<17:17,  4.96s/it]
                                                   

 90%|█████████ | 1925/2134 [49:27<17:17,  4.96s/it]
 90%|█████████ | 1926/2134 [49:28<13:01,  3.76s/it]
                                                   

 90%|█████████ | 1926/2134 [49:28<13:01,  3.76s/it]
 90%|█████████ | 1927/2134 [49:29<10:01,  2.91s/it]
                                                   

 90%|█████████ | 1927/2134 [49:29<10:01,  2.91s/it]
 90%|█████████ | 1928/2134 [49:29<07:56,  2.31s/it]
                                                   

 90%|█████████ | 1928/2134 [49:29<07:56,  2.31s/it]
 90%|█████████ | 1929/2134 [49:30<06:28,  1.90s/it]
                                                   

 90%|█████████ | 1929/2134 [49:30<06:28,  1.90s/it]
 90%|█████████ | 1930/2134 [49:31<05:27,  1.61s/it]
                                                   

 90%|█████████ | 1930/2134 [49:31<05:27,  1.61s/it]
 90%|█████████ | 1931/2134 [49:32<04:45,  1.40s/it]
                                                   

 90%|█████████ | 1931/2134 [49:32<04:45,  1.40s/it]
 91%|█████████ | 1932/2134 [49:33<04:15,  1.26s/it]
                                                   

 91%|█████████ | 1932/2134 [49:33<04:15,  1.26s/it]
 91%|█████████ | 1933/2134 [49:34<03:53,  1.16s/it]
                                                   

 91%|█████████ | 1933/2134 [49:34<03:53,  1.16s/it]
 91%|█████████ | 1934/2134 [49:35<03:38,  1.09s/it]
                                                   

 91%|█████████ | 1934/2134 [49:35<03:38,  1.09s/it]
 91%|█████████ | 1935/2134 [49:36<03:27,  1.04s/it]
                                                   

 91%|█████████ | 1935/2134 [49:36<03:27,  1.04s/it]
 91%|█████████ | 1936/2134 [49:37<03:20,  1.01s/it]
                                                   

 91%|█████████ | 1936/2134 [49:37<03:20,  1.01s/it]
 91%|█████████ | 1937/2134 [49:38<03:14,  1.02it/s]
                                                   

 91%|█████████ | 1937/2134 [49:38<03:14,  1.02it/s]
 91%|█████████ | 1938/2134 [49:39<03:09,  1.04it/s]
                                                   

 91%|█████████ | 1938/2134 [49:39<03:09,  1.04it/s]
 91%|█████████ | 1939/2134 [49:40<03:05,  1.05it/s]
                                                   

 91%|█████████ | 1939/2134 [49:40<03:05,  1.05it/s]
 91%|█████████ | 1940/2134 [49:41<03:02,  1.06it/s]
                                                   

 91%|█████████ | 1940/2134 [49:41<03:02,  1.06it/s]
 91%|█████████ | 1941/2134 [49:42<03:00,  1.07it/s]
                                                   

 91%|█████████ | 1941/2134 [49:42<03:00,  1.07it/s]
 91%|█████████ | 1942/2134 [49:42<02:58,  1.07it/s]
                                                   

 91%|█████████ | 1942/2134 [49:42<02:58,  1.07it/s]
 91%|█████████ | 1943/2134 [49:43<02:57,  1.08it/s]
                                                   

 91%|█████████ | 1943/2134 [49:43<02:57,  1.08it/s]
 91%|█████████ | 1944/2134 [49:44<02:58,  1.07it/s]
                                                   

 91%|█████████ | 1944/2134 [49:44<02:58,  1.07it/s]
 91%|█████████ | 1945/2134 [49:45<02:56,  1.07it/s]
                                                   

 91%|█████████ | 1945/2134 [49:45<02:56,  1.07it/s]
 91%|█████████ | 1946/2134 [49:46<02:54,  1.07it/s]
                                                   

 91%|█████████ | 1946/2134 [49:46<02:54,  1.07it/s]
 91%|█████████ | 1947/2134 [49:47<02:53,  1.08it/s]
                                                   

 91%|█████████ | 1947/2134 [49:47<02:53,  1.08it/s]
 91%|█████████▏| 1948/2134 [49:48<02:52,  1.08it/s]
                                                   

 91%|█████████▏| 1948/2134 [49:48<02:52,  1.08it/s]
 91%|█████████▏| 1949/2134 [49:49<02:51,  1.08it/s]
                                                   

 91%|█████████▏| 1949/2134 [49:49<02:51,  1.08it/s]
 91%|█████████▏| 1950/2134 [50:03<14:48,  4.83s/it]
                                                   

 91%|█████████▏| 1950/2134 [50:03<14:48,  4.83s/it]
 91%|█████████▏| 1951/2134 [50:04<11:09,  3.66s/it]
                                                   

 91%|█████████▏| 1951/2134 [50:04<11:09,  3.66s/it]
 91%|█████████▏| 1952/2134 [50:05<08:36,  2.84s/it]
                                                   

 91%|█████████▏| 1952/2134 [50:05<08:36,  2.84s/it]
 92%|█████████▏| 1953/2134 [50:06<06:49,  2.26s/it]
                                                   
{'loss': 0.0499, 'grad_norm': 0.26761960983276367, 'learning_rate': 2.555500740009867e-05, 'epoch': 0.88}
{'loss': 0.0503, 'grad_norm': 0.21546053886413574, 'learning_rate': 2.5456339417858906e-05, 'epoch': 0.88}
{'loss': 0.067, 'grad_norm': 0.39207613468170166, 'learning_rate': 2.535767143561914e-05, 'epoch': 0.88}
{'loss': 0.0688, 'grad_norm': 0.2816154956817627, 'learning_rate': 2.525900345337938e-05, 'epoch': 0.88}
{'loss': 0.0612, 'grad_norm': 0.2758924961090088, 'learning_rate': 2.5160335471139616e-05, 'epoch': 0.88}
{'loss': 0.0758, 'grad_norm': 0.33552148938179016, 'learning_rate': 2.5061667488899852e-05, 'epoch': 0.88}
{'loss': 0.0596, 'grad_norm': 0.2497631460428238, 'learning_rate': 2.496299950666009e-05, 'epoch': 0.88}
{'loss': 0.056, 'grad_norm': 0.28662970662117004, 'learning_rate': 2.4864331524420327e-05, 'epoch': 0.88}
{'loss': 0.0507, 'grad_norm': 0.26263749599456787, 'learning_rate': 2.4765663542180563e-05, 'epoch': 0.88}
{'loss': 0.0554, 'grad_norm': 0.2887159287929535, 'learning_rate': 2.4666995559940802e-05, 'epoch': 0.88}
{'loss': 0.0477, 'grad_norm': 0.24280141294002533, 'learning_rate': 2.4568327577701038e-05, 'epoch': 0.88}
{'loss': 0.0795, 'grad_norm': 0.41351428627967834, 'learning_rate': 2.4469659595461274e-05, 'epoch': 0.88}
{'loss': 0.0705, 'grad_norm': 0.31674569845199585, 'learning_rate': 2.437099161322151e-05, 'epoch': 0.88}
{'loss': 0.0586, 'grad_norm': 0.28809088468551636, 'learning_rate': 2.427232363098175e-05, 'epoch': 0.89}
{'loss': 0.0613, 'grad_norm': 0.36685147881507874, 'learning_rate': 2.4173655648741984e-05, 'epoch': 0.89}
{'loss': 0.0651, 'grad_norm': 0.29580289125442505, 'learning_rate': 2.407498766650222e-05, 'epoch': 0.89}
{'loss': 0.0653, 'grad_norm': 0.4130922853946686, 'learning_rate': 2.397631968426246e-05, 'epoch': 0.89}
{'loss': 0.0521, 'grad_norm': 0.31436482071876526, 'learning_rate': 2.3877651702022695e-05, 'epoch': 0.89}
{'loss': 0.0657, 'grad_norm': 0.32751160860061646, 'learning_rate': 2.377898371978293e-05, 'epoch': 0.89}
{'loss': 0.0533, 'grad_norm': 0.3173535168170929, 'learning_rate': 2.368031573754317e-05, 'epoch': 0.89}
{'loss': 0.0476, 'grad_norm': 0.3312073349952698, 'learning_rate': 2.3581647755303406e-05, 'epoch': 0.89}
{'loss': 0.0615, 'grad_norm': 0.34917500615119934, 'learning_rate': 2.348297977306364e-05, 'epoch': 0.89}
{'loss': 0.0682, 'grad_norm': 0.3381662368774414, 'learning_rate': 2.338431179082388e-05, 'epoch': 0.89}
{'loss': 0.0525, 'grad_norm': 0.24462169408798218, 'learning_rate': 2.3285643808584116e-05, 'epoch': 0.89}
{'loss': 0.0744, 'grad_norm': 0.4546211361885071, 'learning_rate': 2.3186975826344352e-05, 'epoch': 0.89}
{'loss': 0.0569, 'grad_norm': 0.5230004787445068, 'learning_rate': 2.308830784410459e-05, 'epoch': 0.89}
{'loss': 0.0493, 'grad_norm': 0.25284141302108765, 'learning_rate': 2.2989639861864827e-05, 'epoch': 0.89}
{'loss': 0.0572, 'grad_norm': 0.2847616374492645, 'learning_rate': 2.2890971879625063e-05, 'epoch': 0.89}
{'loss': 0.0607, 'grad_norm': 0.3465677499771118, 'learning_rate': 2.27923038973853e-05, 'epoch': 0.89}
{'loss': 0.0552, 'grad_norm': 0.3772701025009155, 'learning_rate': 2.2693635915145538e-05, 'epoch': 0.89}
{'loss': 0.057, 'grad_norm': 0.3196691572666168, 'learning_rate': 2.2594967932905774e-05, 'epoch': 0.89}
{'loss': 0.0495, 'grad_norm': 0.23470132052898407, 'learning_rate': 2.249629995066601e-05, 'epoch': 0.89}
{'loss': 0.0619, 'grad_norm': 0.30040138959884644, 'learning_rate': 2.239763196842625e-05, 'epoch': 0.89}
{'loss': 0.0382, 'grad_norm': 0.33461254835128784, 'learning_rate': 2.2298963986186484e-05, 'epoch': 0.89}
{'loss': 0.0582, 'grad_norm': 0.2854289710521698, 'learning_rate': 2.220029600394672e-05, 'epoch': 0.9}
{'loss': 0.0554, 'grad_norm': 0.2345670908689499, 'learning_rate': 2.210162802170696e-05, 'epoch': 0.9}
{'loss': 0.0687, 'grad_norm': 0.4217948913574219, 'learning_rate': 2.2002960039467195e-05, 'epoch': 0.9}
{'loss': 0.0599, 'grad_norm': 0.30435529351234436, 'learning_rate': 2.190429205722743e-05, 'epoch': 0.9}
{'loss': 0.0571, 'grad_norm': 0.3200676739215851, 'learning_rate': 2.180562407498767e-05, 'epoch': 0.9}
{'loss': 0.0434, 'grad_norm': 0.3082594573497772, 'learning_rate': 2.1706956092747906e-05, 'epoch': 0.9}
{'loss': 0.0625, 'grad_norm': 0.37796202301979065, 'learning_rate': 2.160828811050814e-05, 'epoch': 0.9}
{'loss': 0.0542, 'grad_norm': 0.28657805919647217, 'learning_rate': 2.1509620128268377e-05, 'epoch': 0.9}
{'loss': 0.0623, 'grad_norm': 0.33751291036605835, 'learning_rate': 2.1410952146028616e-05, 'epoch': 0.9}
{'loss': 0.0644, 'grad_norm': 0.3516653776168823, 'learning_rate': 2.1312284163788852e-05, 'epoch': 0.9}
{'loss': 0.0474, 'grad_norm': 0.20670901238918304, 'learning_rate': 2.1213616181549088e-05, 'epoch': 0.9}
{'loss': 0.0499, 'grad_norm': 0.27402523159980774, 'learning_rate': 2.1114948199309327e-05, 'epoch': 0.9}
{'loss': 0.0435, 'grad_norm': 0.23817525804042816, 'learning_rate': 2.1016280217069563e-05, 'epoch': 0.9}
{'loss': 0.0541, 'grad_norm': 0.2813294231891632, 'learning_rate': 2.09176122348298e-05, 'epoch': 0.9}
{'loss': 0.0497, 'grad_norm': 0.2740156054496765, 'learning_rate': 2.0818944252590038e-05, 'epoch': 0.9}
{'loss': 0.0578, 'grad_norm': 0.30152183771133423, 'learning_rate': 2.0720276270350274e-05, 'epoch': 0.9}
{'loss': 0.0703, 'grad_norm': 0.3809357285499573, 'learning_rate': 2.062160828811051e-05, 'epoch': 0.9}
{'loss': 0.0575, 'grad_norm': 0.27747252583503723, 'learning_rate': 2.052294030587075e-05, 'epoch': 0.9}
{'loss': 0.0491, 'grad_norm': 0.2793179750442505, 'learning_rate': 2.0424272323630984e-05, 'epoch': 0.9}
{'loss': 0.052, 'grad_norm': 0.32446470856666565, 'learning_rate': 2.032560434139122e-05, 'epoch': 0.9}
{'loss': 0.0675, 'grad_norm': 0.3075626492500305, 'learning_rate': 2.022693635915146e-05, 'epoch': 0.9}
{'loss': 0.0697, 'grad_norm': 0.4025432765483856, 'learning_rate': 2.0128268376911695e-05, 'epoch': 0.9}
{'loss': 0.0655, 'grad_norm': 0.30514174699783325, 'learning_rate': 2.002960039467193e-05, 'epoch': 0.91}
{'loss': 0.0653, 'grad_norm': 0.3669693171977997, 'learning_rate': 1.9930932412432167e-05, 'epoch': 0.91}
{'loss': 0.0763, 'grad_norm': 0.34793969988822937, 'learning_rate': 1.9832264430192406e-05, 'epoch': 0.91}
{'loss': 0.0536, 'grad_norm': 0.3786771297454834, 'learning_rate': 1.973359644795264e-05, 'epoch': 0.91}
{'loss': 0.0613, 'grad_norm': 0.35414740443229675, 'learning_rate': 1.9634928465712877e-05, 'epoch': 0.91}
{'loss': 0.0612, 'grad_norm': 0.2619611620903015, 'learning_rate': 1.9536260483473117e-05, 'epoch': 0.91}
{'loss': 0.0626, 'grad_norm': 0.3532264530658722, 'learning_rate': 1.9437592501233352e-05, 'epoch': 0.91}
{'loss': 0.057, 'grad_norm': 0.3377099335193634, 'learning_rate': 1.9338924518993588e-05, 'epoch': 0.91}
{'loss': 0.0649, 'grad_norm': 0.3206160366535187, 'learning_rate': 1.9240256536753827e-05, 'epoch': 0.91}
{'loss': 0.0686, 'grad_norm': 0.32930412888526917, 'learning_rate': 1.9141588554514063e-05, 'epoch': 0.91}
{'loss': 0.0613, 'grad_norm': 0.2841935157775879, 'learning_rate': 1.90429205722743e-05, 'epoch': 0.91}
{'loss': 0.0504, 'grad_norm': 0.26982900500297546, 'learning_rate': 1.8944252590034535e-05, 'epoch': 0.91}
{'loss': 0.0595, 'grad_norm': 0.26191696524620056, 'learning_rate': 1.8845584607794774e-05, 'epoch': 0.91}
{'loss': 0.0457, 'grad_norm': 0.18675479292869568, 'learning_rate': 1.874691662555501e-05, 'epoch': 0.91}
{'loss': 0.044, 'grad_norm': 0.21067537367343903, 'learning_rate': 1.8648248643315245e-05, 'epoch': 0.91}
{'loss': 0.0416, 'grad_norm': 0.20779524743556976, 'learning_rate': 1.8549580661075484e-05, 'epoch': 0.91}
{'loss': 0.0394, 'grad_norm': 0.2571612596511841, 'learning_rate': 1.845091267883572e-05, 'epoch': 0.91}
{'loss': 0.0587, 'grad_norm': 0.2458663284778595, 'learning_rate': 1.8352244696595956e-05, 'epoch': 0.91}
{'loss': 0.059, 'grad_norm': 0.3323148787021637, 'learning_rate': 1.8253576714356195e-05, 'epoch': 0.91}
{'loss': 0.0547, 'grad_norm': 0.22313396632671356, 'learning_rate': 1.815490873211643e-05, 'epoch': 0.91}
{'loss': 0.0531, 'grad_norm': 0.2731955647468567, 'learning_rate': 1.8056240749876667e-05, 'epoch': 0.91}
{'loss': 0.0529, 'grad_norm': 0.3114316463470459, 'learning_rate': 1.7957572767636903e-05, 'epoch': 0.92}
 92%|█████████▏| 1953/2134 [50:06<06:49,  2.26s/it]
 92%|█████████▏| 1954/2134 [50:07<05:35,  1.86s/it]
                                                   

 92%|█████████▏| 1954/2134 [50:07<05:35,  1.86s/it]
 92%|█████████▏| 1955/2134 [50:07<04:43,  1.58s/it]
                                                   

 92%|█████████▏| 1955/2134 [50:07<04:43,  1.58s/it]
 92%|█████████▏| 1956/2134 [50:08<04:06,  1.39s/it]
                                                   

 92%|█████████▏| 1956/2134 [50:08<04:06,  1.39s/it]
 92%|█████████▏| 1957/2134 [50:09<03:41,  1.25s/it]
                                                   

 92%|█████████▏| 1957/2134 [50:09<03:41,  1.25s/it]
 92%|█████████▏| 1958/2134 [50:10<03:24,  1.16s/it]
                                                   

 92%|█████████▏| 1958/2134 [50:10<03:24,  1.16s/it]
 92%|█████████▏| 1959/2134 [50:11<03:11,  1.09s/it]
                                                   

 92%|█████████▏| 1959/2134 [50:11<03:11,  1.09s/it]
 92%|█████████▏| 1960/2134 [50:12<03:01,  1.04s/it]
                                                   

 92%|█████████▏| 1960/2134 [50:12<03:01,  1.04s/it]
 92%|█████████▏| 1961/2134 [50:13<02:55,  1.01s/it]
                                                   

 92%|█████████▏| 1961/2134 [50:13<02:55,  1.01s/it]
 92%|█████████▏| 1962/2134 [50:14<02:49,  1.01it/s]
                                                   

 92%|█████████▏| 1962/2134 [50:14<02:49,  1.01it/s]
 92%|█████████▏| 1963/2134 [50:15<02:45,  1.03it/s]
                                                   

 92%|█████████▏| 1963/2134 [50:15<02:45,  1.03it/s]
 92%|█████████▏| 1964/2134 [50:16<02:42,  1.04it/s]
                                                   

 92%|█████████▏| 1964/2134 [50:16<02:42,  1.04it/s]
 92%|█████████▏| 1965/2134 [50:17<02:40,  1.05it/s]
                                                   

 92%|█████████▏| 1965/2134 [50:17<02:40,  1.05it/s]
 92%|█████████▏| 1966/2134 [50:18<02:39,  1.06it/s]
                                                   

 92%|█████████▏| 1966/2134 [50:18<02:39,  1.06it/s]
 92%|█████████▏| 1967/2134 [50:19<02:37,  1.06it/s]
                                                   

 92%|█████████▏| 1967/2134 [50:19<02:37,  1.06it/s]
 92%|█████████▏| 1968/2134 [50:20<02:36,  1.06it/s]
                                                   

 92%|█████████▏| 1968/2134 [50:20<02:36,  1.06it/s]
 92%|█████████▏| 1969/2134 [50:21<02:35,  1.06it/s]
                                                   

 92%|█████████▏| 1969/2134 [50:21<02:35,  1.06it/s]
 92%|█████████▏| 1970/2134 [50:22<02:33,  1.07it/s]
                                                   

 92%|█████████▏| 1970/2134 [50:22<02:33,  1.07it/s]
 92%|█████████▏| 1971/2134 [50:22<02:33,  1.06it/s]
                                                   

 92%|█████████▏| 1971/2134 [50:22<02:33,  1.06it/s]
 92%|█████████▏| 1972/2134 [50:23<02:32,  1.07it/s]
                                                   

 92%|█████████▏| 1972/2134 [50:23<02:32,  1.07it/s]
 92%|█████████▏| 1973/2134 [50:24<02:31,  1.06it/s]
                                                   

 92%|█████████▏| 1973/2134 [50:24<02:31,  1.06it/s]
 93%|█████████▎| 1974/2134 [50:25<02:29,  1.07it/s]
                                                   

 93%|█████████▎| 1974/2134 [50:25<02:29,  1.07it/s]
 93%|█████████▎| 1975/2134 [50:39<12:49,  4.84s/it]
                                                   

 93%|█████████▎| 1975/2134 [50:39<12:49,  4.84s/it]
 93%|█████████▎| 1976/2134 [50:40<09:39,  3.67s/it]
                                                   

 93%|█████████▎| 1976/2134 [50:40<09:39,  3.67s/it]
 93%|█████████▎| 1977/2134 [50:41<07:27,  2.85s/it]
                                                   

 93%|█████████▎| 1977/2134 [50:41<07:27,  2.85s/it]
 93%|█████████▎| 1978/2134 [50:42<05:54,  2.27s/it]
                                                   

 93%|█████████▎| 1978/2134 [50:42<05:54,  2.27s/it]
 93%|█████████▎| 1979/2134 [50:43<04:49,  1.87s/it]
                                                   

 93%|█████████▎| 1979/2134 [50:43<04:49,  1.87s/it]
 93%|█████████▎| 1980/2134 [50:44<04:04,  1.58s/it]
                                                   

 93%|█████████▎| 1980/2134 [50:44<04:04,  1.58s/it]
 93%|█████████▎| 1981/2134 [50:45<03:31,  1.39s/it]
                                                   

 93%|█████████▎| 1981/2134 [50:45<03:31,  1.39s/it]
 93%|█████████▎| 1982/2134 [50:46<03:09,  1.25s/it]
                                                   

 93%|█████████▎| 1982/2134 [50:46<03:09,  1.25s/it]
 93%|█████████▎| 1983/2134 [50:47<02:53,  1.15s/it]
                                                   

 93%|█████████▎| 1983/2134 [50:47<02:53,  1.15s/it]
 93%|█████████▎| 1984/2134 [50:48<02:42,  1.08s/it]
                                                   

 93%|█████████▎| 1984/2134 [50:48<02:42,  1.08s/it]
 93%|█████████▎| 1985/2134 [50:48<02:33,  1.03s/it]
                                                   

 93%|█████████▎| 1985/2134 [50:48<02:33,  1.03s/it]
 93%|█████████▎| 1986/2134 [50:49<02:28,  1.00s/it]
                                                   

 93%|█████████▎| 1986/2134 [50:49<02:28,  1.00s/it]
 93%|█████████▎| 1987/2134 [50:50<02:23,  1.02it/s]
                                                   

 93%|█████████▎| 1987/2134 [50:50<02:23,  1.02it/s]
 93%|█████████▎| 1988/2134 [50:51<02:20,  1.04it/s]
                                                   

 93%|█████████▎| 1988/2134 [50:51<02:20,  1.04it/s]
 93%|█████████▎| 1989/2134 [50:52<02:17,  1.05it/s]
                                                   

 93%|█████████▎| 1989/2134 [50:52<02:17,  1.05it/s]
 93%|█████████▎| 1990/2134 [50:53<02:15,  1.06it/s]
                                                   

 93%|█████████▎| 1990/2134 [50:53<02:15,  1.06it/s]
 93%|█████████▎| 1991/2134 [50:55<02:37,  1.10s/it]
                                                   

 93%|█████████▎| 1991/2134 [50:55<02:37,  1.10s/it]
 93%|█████████▎| 1992/2134 [50:55<02:29,  1.05s/it]
                                                   

 93%|█████████▎| 1992/2134 [50:55<02:29,  1.05s/it]
 93%|█████████▎| 1993/2134 [50:56<02:23,  1.02s/it]
                                                   

 93%|█████████▎| 1993/2134 [50:56<02:23,  1.02s/it]
 93%|█████████▎| 1994/2134 [50:57<02:18,  1.01it/s]
                                                   

 93%|█████████▎| 1994/2134 [50:57<02:18,  1.01it/s]
 93%|█████████▎| 1995/2134 [50:58<02:15,  1.03it/s]
                                                   

 93%|█████████▎| 1995/2134 [50:58<02:15,  1.03it/s]
 94%|█████████▎| 1996/2134 [50:59<02:12,  1.04it/s]
                                                   

 94%|█████████▎| 1996/2134 [50:59<02:12,  1.04it/s]
 94%|█████████▎| 1997/2134 [51:00<02:10,  1.05it/s]
                                                   

 94%|█████████▎| 1997/2134 [51:00<02:10,  1.05it/s]
 94%|█████████▎| 1998/2134 [51:01<02:08,  1.06it/s]
                                                   

 94%|█████████▎| 1998/2134 [51:01<02:08,  1.06it/s]
 94%|█████████▎| 1999/2134 [51:02<02:07,  1.06it/s]
                                                   

 94%|█████████▎| 1999/2134 [51:02<02:07,  1.06it/s]
 94%|█████████▎| 2000/2134 [51:16<10:49,  4.85s/it]
                                                   

 94%|█████████▎| 2000/2134 [51:16<10:49,  4.85s/it]
 94%|█████████▍| 2001/2134 [51:20<10:12,  4.60s/it]
                                                   

 94%|█████████▍| 2001/2134 [51:20<10:12,  4.60s/it]
 94%|█████████▍| 2002/2134 [51:21<07:42,  3.50s/it]
                                                   

 94%|█████████▍| 2002/2134 [51:21<07:42,  3.50s/it]
 94%|█████████▍| 2003/2134 [51:22<05:57,  2.73s/it]
                                                   

 94%|█████████▍| 2003/2134 [51:22<05:57,  2.73s/it]
 94%|█████████▍| 2004/2134 [51:23<04:44,  2.19s/it]
                                                   

 94%|█████████▍| 2004/2134 [51:23<04:44,  2.19s/it]
 94%|█████████▍| 2005/2134 [51:24<03:53,  1.81s/it]
                                                   

 94%|█████████▍| 2005/2134 [51:24<03:53,  1.81s/it]
 94%|█████████▍| 2006/2134 [51:25<03:18,  1.55s/it]
                                                   

 94%|█████████▍| 2006/2134 [51:25<03:18,  1.55s/it]
 94%|█████████▍| 2007/2134 [51:26<02:53,  1.36s/it]
                                                   

 94%|█████████▍| 2007/2134 [51:26<02:53,  1.36s/it]
 94%|█████████▍| 2008/2134 [51:27<02:35,  1.23s/it]
                                                   

 94%|█████████▍| 2008/2134 [51:27<02:35,  1.23s/it]
 94%|█████████▍| 2009/2134 [51:27<02:22,  1.14s/it]
                                                   

 94%|█████████▍| 2009/2134 [51:27<02:22,  1.14s/it]
 94%|█████████▍| 2010/2134 [51:28<02:13,  1.07s/it]
                                                   

 94%|█████████▍| 2010/2134 [51:28<02:13,  1.07s/it]
 94%|█████████▍| 2011/2134 [51:29<02:06,  1.03s/it]
                                                   

 94%|█████████▍| 2011/2134 [51:29<02:06,  1.03s/it]
 94%|█████████▍| 2012/2134 [51:30<02:01,  1.00it/s]
                                                   

 94%|█████████▍| 2012/2134 [51:30<02:01,  1.00it/s]
 94%|█████████▍| 2013/2134 [51:31<01:58,  1.02it/s]
                                                   

 94%|█████████▍| 2013/2134 [51:31<01:58,  1.02it/s]
 94%|█████████▍| 2014/2134 [51:32<01:55,  1.04it/s]
                                                   

 94%|█████████▍| 2014/2134 [51:32<01:55,  1.04it/s]
 94%|█████████▍| 2015/2134 [51:33<01:53,  1.05it/s]
                                                   

 94%|█████████▍| 2015/2134 [51:33<01:53,  1.05it/s]
 94%|█████████▍| 2016/2134 [51:34<01:51,  1.06it/s]
                                                   

 94%|█████████▍| 2016/2134 [51:34<01:51,  1.06it/s]
 95%|█████████▍| 2017/2134 [51:35<01:49,  1.07it/s]
                                                   

 95%|█████████▍| 2017/2134 [51:35<01:49,  1.07it/s]
 95%|█████████▍| 2018/2134 [51:36<01:48,  1.07it/s]
                                                   

 95%|█████████▍| 2018/2134 [51:36<01:48,  1.07it/s]
 95%|█████████▍| 2019/2134 [51:37<01:47,  1.07it/s]
                                                   

 95%|█████████▍| 2019/2134 [51:37<01:47,  1.07it/s]
 95%|█████████▍| 2020/2134 [51:38<01:45,  1.08it/s]
                                                   

 95%|█████████▍| 2020/2134 [51:38<01:45,  1.08it/s]
 95%|█████████▍| 2021/2134 [51:39<01:44,  1.08it/s]
                                                   

 95%|█████████▍| 2021/2134 [51:39<01:44,  1.08it/s]
 95%|█████████▍| 2022/2134 [51:39<01:43,  1.08it/s]
                                                   

 95%|█████████▍| 2022/2134 [51:39<01:43,  1.08it/s]
 95%|█████████▍| 2023/2134 [51:40<01:42,  1.08it/s]
                                                   

 95%|█████████▍| 2023/2134 [51:40<01:42,  1.08it/s]
 95%|█████████▍| 2024/2134 [51:41<01:41,  1.08it/s]
                                                   

 95%|█████████▍| 2024/2134 [51:41<01:41,  1.08it/s]
 95%|█████████▍| 2025/2134 [51:55<08:48,  4.85s/it]
                                                   

 95%|█████████▍| 2025/2134 [51:55<08:48,  4.85s/it]
 95%|█████████▍| 2026/2134 [51:56<06:37,  3.68s/it]
                                                   

 95%|█████████▍| 2026/2134 [51:56<06:37,  3.68s/it]
 95%|█████████▍| 2027/2134 [51:57<05:06,  2.86s/it]
                                                   

 95%|█████████▍| 2027/2134 [51:57<05:06,  2.86s/it]
 95%|█████████▌| 2028/2134 [51:58<04:02,  2.28s/it]
                                                   

 95%|█████████▌| 2028/2134 [51:58<04:02,  2.28s/it]
 95%|█████████▌| 2029/2134 [51:59<03:17,  1.88s/it]
                                                   

 95%|█████████▌| 2029/2134 [51:59<03:17,  1.88s/it]
 95%|█████████▌| 2030/2134 [52:00<02:46,  1.60s/it]
                                                   

 95%|█████████▌| 2030/2134 [52:00<02:46,  1.60s/it]
 95%|█████████▌| 2031/2134 [52:01<02:24,  1.40s/it]
                                                   
{'loss': 0.0548, 'grad_norm': 0.39991703629493713, 'learning_rate': 1.785890478539714e-05, 'epoch': 0.92}
{'loss': 0.0585, 'grad_norm': 0.30419158935546875, 'learning_rate': 1.7760236803157377e-05, 'epoch': 0.92}
{'loss': 0.0571, 'grad_norm': 0.2838131785392761, 'learning_rate': 1.7661568820917613e-05, 'epoch': 0.92}
{'loss': 0.06, 'grad_norm': 0.24183015525341034, 'learning_rate': 1.7562900838677852e-05, 'epoch': 0.92}
{'loss': 0.069, 'grad_norm': 0.42404574155807495, 'learning_rate': 1.7464232856438088e-05, 'epoch': 0.92}
{'loss': 0.0536, 'grad_norm': 0.36726272106170654, 'learning_rate': 1.7365564874198324e-05, 'epoch': 0.92}
{'loss': 0.0574, 'grad_norm': 0.3015972077846527, 'learning_rate': 1.7266896891958563e-05, 'epoch': 0.92}
{'loss': 0.0656, 'grad_norm': 0.3129630982875824, 'learning_rate': 1.71682289097188e-05, 'epoch': 0.92}
{'loss': 0.0528, 'grad_norm': 0.27306702733039856, 'learning_rate': 1.7069560927479035e-05, 'epoch': 0.92}
{'loss': 0.045, 'grad_norm': 0.23283573985099792, 'learning_rate': 1.697089294523927e-05, 'epoch': 0.92}
{'loss': 0.0531, 'grad_norm': 0.4940716326236725, 'learning_rate': 1.687222496299951e-05, 'epoch': 0.92}
{'loss': 0.0653, 'grad_norm': 0.35056930780410767, 'learning_rate': 1.6773556980759745e-05, 'epoch': 0.92}
{'loss': 0.0533, 'grad_norm': 0.3611825704574585, 'learning_rate': 1.667488899851998e-05, 'epoch': 0.92}
{'loss': 0.0505, 'grad_norm': 0.22743257880210876, 'learning_rate': 1.657622101628022e-05, 'epoch': 0.92}
{'loss': 0.0525, 'grad_norm': 0.2444426566362381, 'learning_rate': 1.6477553034040456e-05, 'epoch': 0.92}
{'loss': 0.0603, 'grad_norm': 0.30898022651672363, 'learning_rate': 1.6378885051800692e-05, 'epoch': 0.92}
{'loss': 0.0482, 'grad_norm': 0.20918332040309906, 'learning_rate': 1.628021706956093e-05, 'epoch': 0.92}
{'loss': 0.0564, 'grad_norm': 0.24976979196071625, 'learning_rate': 1.6181549087321167e-05, 'epoch': 0.92}
{'loss': 0.0671, 'grad_norm': 0.4374009966850281, 'learning_rate': 1.6082881105081403e-05, 'epoch': 0.92}
{'loss': 0.0695, 'grad_norm': 0.30816423892974854, 'learning_rate': 1.598421312284164e-05, 'epoch': 0.92}
{'loss': 0.0637, 'grad_norm': 0.33466848731040955, 'learning_rate': 1.5885545140601878e-05, 'epoch': 0.93}
{'loss': 0.0543, 'grad_norm': 0.19864659011363983, 'learning_rate': 1.5786877158362113e-05, 'epoch': 0.93}
{'loss': 0.0574, 'grad_norm': 0.35240721702575684, 'learning_rate': 1.568820917612235e-05, 'epoch': 0.93}
{'loss': 0.0572, 'grad_norm': 0.2976236641407013, 'learning_rate': 1.5589541193882588e-05, 'epoch': 0.93}
{'loss': 0.0501, 'grad_norm': 0.2438504993915558, 'learning_rate': 1.5490873211642824e-05, 'epoch': 0.93}
{'loss': 0.0554, 'grad_norm': 0.34487053751945496, 'learning_rate': 1.539220522940306e-05, 'epoch': 0.93}
{'loss': 0.0562, 'grad_norm': 0.263399600982666, 'learning_rate': 1.52935372471633e-05, 'epoch': 0.93}
{'loss': 0.0589, 'grad_norm': 0.26841431856155396, 'learning_rate': 1.5194869264923533e-05, 'epoch': 0.93}
{'loss': 0.0612, 'grad_norm': 0.27735334634780884, 'learning_rate': 1.5096201282683769e-05, 'epoch': 0.93}
{'loss': 0.0632, 'grad_norm': 0.33010154962539673, 'learning_rate': 1.4997533300444006e-05, 'epoch': 0.93}
{'loss': 0.059, 'grad_norm': 0.31432750821113586, 'learning_rate': 1.4898865318204244e-05, 'epoch': 0.93}
{'loss': 0.0585, 'grad_norm': 0.26639604568481445, 'learning_rate': 1.480019733596448e-05, 'epoch': 0.93}
{'loss': 0.0541, 'grad_norm': 0.29124271869659424, 'learning_rate': 1.4701529353724717e-05, 'epoch': 0.93}
{'loss': 0.0493, 'grad_norm': 0.31492355465888977, 'learning_rate': 1.4602861371484954e-05, 'epoch': 0.93}
{'loss': 0.0538, 'grad_norm': 0.2785801887512207, 'learning_rate': 1.450419338924519e-05, 'epoch': 0.93}
{'loss': 0.0564, 'grad_norm': 0.25607654452323914, 'learning_rate': 1.4405525407005426e-05, 'epoch': 0.93}
{'loss': 0.051, 'grad_norm': 0.2865084409713745, 'learning_rate': 1.4306857424765665e-05, 'epoch': 0.93}
{'loss': 0.0531, 'grad_norm': 0.23597528040409088, 'learning_rate': 1.4208189442525901e-05, 'epoch': 0.93}
{'loss': 0.0505, 'grad_norm': 0.2522100508213043, 'learning_rate': 1.4109521460286137e-05, 'epoch': 0.93}
{'loss': 0.0604, 'grad_norm': 0.4192598760128021, 'learning_rate': 1.4010853478046374e-05, 'epoch': 0.93}
{'loss': 0.0472, 'grad_norm': 0.30405503511428833, 'learning_rate': 1.3912185495806612e-05, 'epoch': 0.93}
{'loss': 0.0599, 'grad_norm': 0.28398627042770386, 'learning_rate': 1.3813517513566847e-05, 'epoch': 0.93}
{'loss': 0.0632, 'grad_norm': 0.38111412525177, 'learning_rate': 1.3714849531327085e-05, 'epoch': 0.94}
{'loss': 0.0551, 'grad_norm': 0.23043027520179749, 'learning_rate': 1.3616181549087322e-05, 'epoch': 0.94}
{'loss': 0.0379, 'grad_norm': 0.18716281652450562, 'learning_rate': 1.3517513566847558e-05, 'epoch': 0.94}
{'loss': 0.0573, 'grad_norm': 0.33832186460494995, 'learning_rate': 1.3418845584607796e-05, 'epoch': 0.94}
{'loss': 0.0906, 'grad_norm': 0.6788390278816223, 'learning_rate': 1.3320177602368033e-05, 'epoch': 0.94}
{'loss': 0.0515, 'grad_norm': 0.2353287786245346, 'learning_rate': 1.3221509620128269e-05, 'epoch': 0.94}
{'loss': 0.0589, 'grad_norm': 0.32912641763687134, 'learning_rate': 1.3122841637888506e-05, 'epoch': 0.94}
{'loss': 0.0512, 'grad_norm': 0.2734115719795227, 'learning_rate': 1.3024173655648742e-05, 'epoch': 0.94}
{'loss': 0.0567, 'grad_norm': 0.2398560494184494, 'learning_rate': 1.292550567340898e-05, 'epoch': 0.94}
{'loss': 0.0577, 'grad_norm': 0.5180648565292358, 'learning_rate': 1.2826837691169215e-05, 'epoch': 0.94}
{'loss': 0.0483, 'grad_norm': 0.29520657658576965, 'learning_rate': 1.2728169708929453e-05, 'epoch': 0.94}
{'loss': 0.058, 'grad_norm': 0.4742688536643982, 'learning_rate': 1.262950172668969e-05, 'epoch': 0.94}
{'loss': 0.047, 'grad_norm': 0.26100316643714905, 'learning_rate': 1.2530833744449926e-05, 'epoch': 0.94}
{'loss': 0.0585, 'grad_norm': 0.2646980583667755, 'learning_rate': 1.2432165762210164e-05, 'epoch': 0.94}
{'loss': 0.0598, 'grad_norm': 0.30114510655403137, 'learning_rate': 1.2333497779970401e-05, 'epoch': 0.94}
{'loss': 0.0521, 'grad_norm': 0.21767263114452362, 'learning_rate': 1.2234829797730637e-05, 'epoch': 0.94}
{'loss': 0.0583, 'grad_norm': 0.3502775728702545, 'learning_rate': 1.2136161815490874e-05, 'epoch': 0.94}
{'loss': 0.05, 'grad_norm': 0.3428318500518799, 'learning_rate': 1.203749383325111e-05, 'epoch': 0.94}
{'loss': 0.0723, 'grad_norm': 0.4300108850002289, 'learning_rate': 1.1938825851011348e-05, 'epoch': 0.94}
{'loss': 0.0527, 'grad_norm': 0.3479931652545929, 'learning_rate': 1.1840157868771585e-05, 'epoch': 0.94}
{'loss': 0.0415, 'grad_norm': 0.24301643669605255, 'learning_rate': 1.174148988653182e-05, 'epoch': 0.94}
{'loss': 0.0543, 'grad_norm': 0.29956525564193726, 'learning_rate': 1.1642821904292058e-05, 'epoch': 0.95}
{'loss': 0.0612, 'grad_norm': 0.28304585814476013, 'learning_rate': 1.1544153922052296e-05, 'epoch': 0.95}
{'loss': 0.0534, 'grad_norm': 0.3049796223640442, 'learning_rate': 1.1445485939812531e-05, 'epoch': 0.95}
{'loss': 0.0563, 'grad_norm': 0.33465448021888733, 'learning_rate': 1.1346817957572769e-05, 'epoch': 0.95}
{'loss': 0.0509, 'grad_norm': 0.2729593813419342, 'learning_rate': 1.1248149975333005e-05, 'epoch': 0.95}
{'loss': 0.0607, 'grad_norm': 0.27714645862579346, 'learning_rate': 1.1149481993093242e-05, 'epoch': 0.95}
{'loss': 0.0574, 'grad_norm': 0.26699984073638916, 'learning_rate': 1.105081401085348e-05, 'epoch': 0.95}
{'loss': 0.0508, 'grad_norm': 0.21997039020061493, 'learning_rate': 1.0952146028613715e-05, 'epoch': 0.95}
{'loss': 0.0501, 'grad_norm': 0.3099302351474762, 'learning_rate': 1.0853478046373953e-05, 'epoch': 0.95}
{'loss': 0.0682, 'grad_norm': 0.582568347454071, 'learning_rate': 1.0754810064134189e-05, 'epoch': 0.95}
{'loss': 0.0606, 'grad_norm': 0.34757232666015625, 'learning_rate': 1.0656142081894426e-05, 'epoch': 0.95}
{'loss': 0.0505, 'grad_norm': 0.2258068025112152, 'learning_rate': 1.0557474099654664e-05, 'epoch': 0.95}
{'loss': 0.0532, 'grad_norm': 0.25646597146987915, 'learning_rate': 1.04588061174149e-05, 'epoch': 0.95}
{'loss': 0.0593, 'grad_norm': 0.5751287341117859, 'learning_rate': 1.0360138135175137e-05, 'epoch': 0.95}
{'loss': 0.0577, 'grad_norm': 0.27254247665405273, 'learning_rate': 1.0261470152935374e-05, 'epoch': 0.95}
 95%|█████████▌| 2031/2134 [52:01<02:24,  1.40s/it]
 95%|█████████▌| 2032/2134 [52:02<02:08,  1.26s/it]
                                                   

 95%|█████████▌| 2032/2134 [52:02<02:08,  1.26s/it]
 95%|█████████▌| 2033/2134 [52:03<01:57,  1.17s/it]
                                                   

 95%|█████████▌| 2033/2134 [52:03<01:57,  1.17s/it]
 95%|█████████▌| 2034/2134 [52:04<01:49,  1.10s/it]
                                                   

 95%|█████████▌| 2034/2134 [52:04<01:49,  1.10s/it]
 95%|█████████▌| 2035/2134 [52:05<01:43,  1.05s/it]
                                                   

 95%|█████████▌| 2035/2134 [52:05<01:43,  1.05s/it]
 95%|█████████▌| 2036/2134 [52:06<01:39,  1.01s/it]
                                                   

 95%|█████████▌| 2036/2134 [52:06<01:39,  1.01s/it]
 95%|█████████▌| 2037/2134 [52:07<01:35,  1.01it/s]
                                                   

 95%|█████████▌| 2037/2134 [52:07<01:35,  1.01it/s]
 96%|█████████▌| 2038/2134 [52:08<01:33,  1.03it/s]
                                                   

 96%|█████████▌| 2038/2134 [52:08<01:33,  1.03it/s]
 96%|█████████▌| 2039/2134 [52:08<01:31,  1.04it/s]
                                                   

 96%|█████████▌| 2039/2134 [52:08<01:31,  1.04it/s]
 96%|█████████▌| 2040/2134 [52:09<01:29,  1.05it/s]
                                                   

 96%|█████████▌| 2040/2134 [52:09<01:29,  1.05it/s]
 96%|█████████▌| 2041/2134 [52:10<01:27,  1.06it/s]
                                                   

 96%|█████████▌| 2041/2134 [52:10<01:27,  1.06it/s]
 96%|█████████▌| 2042/2134 [52:11<01:26,  1.06it/s]
                                                   

 96%|█████████▌| 2042/2134 [52:11<01:26,  1.06it/s]
 96%|█████████▌| 2043/2134 [52:12<01:25,  1.07it/s]
                                                   

 96%|█████████▌| 2043/2134 [52:12<01:25,  1.07it/s]
 96%|█████████▌| 2044/2134 [52:13<01:24,  1.07it/s]
                                                   

 96%|█████████▌| 2044/2134 [52:13<01:24,  1.07it/s]
 96%|█████████▌| 2045/2134 [52:14<01:23,  1.07it/s]
                                                   

 96%|█████████▌| 2045/2134 [52:14<01:23,  1.07it/s]
 96%|█████████▌| 2046/2134 [52:15<01:21,  1.07it/s]
                                                   

 96%|█████████▌| 2046/2134 [52:15<01:21,  1.07it/s]
 96%|█████████▌| 2047/2134 [52:16<01:21,  1.07it/s]
                                                   

 96%|█████████▌| 2047/2134 [52:16<01:21,  1.07it/s]
 96%|█████████▌| 2048/2134 [52:17<01:20,  1.07it/s]
                                                   

 96%|█████████▌| 2048/2134 [52:17<01:20,  1.07it/s]
 96%|█████████▌| 2049/2134 [52:18<01:19,  1.07it/s]
                                                   

 96%|█████████▌| 2049/2134 [52:18<01:19,  1.07it/s]
 96%|█████████▌| 2050/2134 [52:32<06:45,  4.83s/it]
                                                   

 96%|█████████▌| 2050/2134 [52:32<06:45,  4.83s/it]
 96%|█████████▌| 2051/2134 [52:33<05:03,  3.66s/it]
                                                   

 96%|█████████▌| 2051/2134 [52:33<05:03,  3.66s/it]
 96%|█████████▌| 2052/2134 [52:34<03:52,  2.84s/it]
                                                   

 96%|█████████▌| 2052/2134 [52:34<03:52,  2.84s/it]
 96%|█████████▌| 2053/2134 [52:34<03:03,  2.27s/it]
                                                   

 96%|█████████▌| 2053/2134 [52:34<03:03,  2.27s/it]
 96%|█████████▋| 2054/2134 [52:35<02:29,  1.86s/it]
                                                   

 96%|█████████▋| 2054/2134 [52:35<02:29,  1.86s/it]
 96%|█████████▋| 2055/2134 [52:36<02:05,  1.58s/it]
                                                   

 96%|█████████▋| 2055/2134 [52:36<02:05,  1.58s/it]
 96%|█████████▋| 2056/2134 [52:37<01:47,  1.38s/it]
                                                   

 96%|█████████▋| 2056/2134 [52:37<01:47,  1.38s/it]
 96%|█████████▋| 2057/2134 [52:38<01:35,  1.25s/it]
                                                   

 96%|█████████▋| 2057/2134 [52:38<01:35,  1.25s/it]
 96%|█████████▋| 2058/2134 [52:39<01:27,  1.15s/it]
                                                   

 96%|█████████▋| 2058/2134 [52:39<01:27,  1.15s/it]
 96%|█████████▋| 2059/2134 [52:40<01:21,  1.08s/it]
                                                   

 96%|█████████▋| 2059/2134 [52:40<01:21,  1.08s/it]
 97%|█████████▋| 2060/2134 [52:41<01:16,  1.03s/it]
                                                   

 97%|█████████▋| 2060/2134 [52:41<01:16,  1.03s/it]
 97%|█████████▋| 2061/2134 [52:42<01:13,  1.00s/it]
                                                   

 97%|█████████▋| 2061/2134 [52:42<01:13,  1.00s/it]
 97%|█████████▋| 2062/2134 [52:43<01:10,  1.02it/s]
                                                   

 97%|█████████▋| 2062/2134 [52:43<01:10,  1.02it/s]
 97%|█████████▋| 2063/2134 [52:44<01:08,  1.04it/s]
                                                   

 97%|█████████▋| 2063/2134 [52:44<01:08,  1.04it/s]
 97%|█████████▋| 2064/2134 [52:45<01:06,  1.05it/s]
                                                   

 97%|█████████▋| 2064/2134 [52:45<01:06,  1.05it/s]
 97%|█████████▋| 2065/2134 [52:46<01:05,  1.06it/s]
                                                   

 97%|█████████▋| 2065/2134 [52:46<01:05,  1.06it/s]
 97%|█████████▋| 2066/2134 [52:47<01:03,  1.07it/s]
                                                   

 97%|█████████▋| 2066/2134 [52:47<01:03,  1.07it/s]
 97%|█████████▋| 2067/2134 [52:47<01:02,  1.07it/s]
                                                   

 97%|█████████▋| 2067/2134 [52:47<01:02,  1.07it/s]
 97%|█████████▋| 2068/2134 [52:48<01:01,  1.07it/s]
                                                   

 97%|█████████▋| 2068/2134 [52:48<01:01,  1.07it/s]
 97%|█████████▋| 2069/2134 [52:49<01:00,  1.08it/s]
                                                   

 97%|█████████▋| 2069/2134 [52:49<01:00,  1.08it/s]
 97%|█████████▋| 2070/2134 [52:50<00:59,  1.08it/s]
                                                   

 97%|█████████▋| 2070/2134 [52:50<00:59,  1.08it/s]
 97%|█████████▋| 2071/2134 [52:51<00:58,  1.08it/s]
                                                   

 97%|█████████▋| 2071/2134 [52:51<00:58,  1.08it/s]
 97%|█████████▋| 2072/2134 [52:52<00:57,  1.08it/s]
                                                   

 97%|█████████▋| 2072/2134 [52:52<00:57,  1.08it/s]
 97%|█████████▋| 2073/2134 [52:53<00:56,  1.08it/s]
                                                   

 97%|█████████▋| 2073/2134 [52:53<00:56,  1.08it/s]
 97%|█████████▋| 2074/2134 [52:54<00:55,  1.08it/s]
                                                   

 97%|█████████▋| 2074/2134 [52:54<00:55,  1.08it/s]
 97%|█████████▋| 2075/2134 [53:07<04:38,  4.72s/it]
                                                   

 97%|█████████▋| 2075/2134 [53:07<04:38,  4.72s/it]
 97%|█████████▋| 2076/2134 [53:08<03:28,  3.59s/it]
                                                   

 97%|█████████▋| 2076/2134 [53:08<03:28,  3.59s/it]
 97%|█████████▋| 2077/2134 [53:09<02:38,  2.79s/it]
                                                   

 97%|█████████▋| 2077/2134 [53:09<02:38,  2.79s/it]
 97%|█████████▋| 2078/2134 [53:10<02:04,  2.23s/it]
                                                   

 97%|█████████▋| 2078/2134 [53:10<02:04,  2.23s/it]
 97%|█████████▋| 2079/2134 [53:11<01:41,  1.84s/it]
                                                   

 97%|█████████▋| 2079/2134 [53:11<01:41,  1.84s/it]
 97%|█████████▋| 2080/2134 [53:12<01:24,  1.57s/it]
                                                   

 97%|█████████▋| 2080/2134 [53:12<01:24,  1.57s/it]
 98%|█████████▊| 2081/2134 [53:13<01:13,  1.38s/it]
                                                   

 98%|█████████▊| 2081/2134 [53:13<01:13,  1.38s/it]
 98%|█████████▊| 2082/2134 [53:14<01:04,  1.24s/it]
                                                   

 98%|█████████▊| 2082/2134 [53:14<01:04,  1.24s/it]
 98%|█████████▊| 2083/2134 [53:15<00:58,  1.15s/it]
                                                   

 98%|█████████▊| 2083/2134 [53:15<00:58,  1.15s/it]
 98%|█████████▊| 2084/2134 [53:16<00:53,  1.08s/it]
                                                   

 98%|█████████▊| 2084/2134 [53:16<00:53,  1.08s/it]
 98%|█████████▊| 2085/2134 [53:17<00:50,  1.04s/it]
                                                   

 98%|█████████▊| 2085/2134 [53:17<00:50,  1.04s/it]
 98%|█████████▊| 2086/2134 [53:18<00:48,  1.00s/it]
                                                   

 98%|█████████▊| 2086/2134 [53:18<00:48,  1.00s/it]
 98%|█████████▊| 2087/2134 [53:19<00:46,  1.02it/s]
                                                   

 98%|█████████▊| 2087/2134 [53:19<00:46,  1.02it/s]
 98%|█████████▊| 2088/2134 [53:20<00:44,  1.03it/s]
                                                   

 98%|█████████▊| 2088/2134 [53:20<00:44,  1.03it/s]
 98%|█████████▊| 2089/2134 [53:21<00:43,  1.04it/s]
                                                   

 98%|█████████▊| 2089/2134 [53:21<00:43,  1.04it/s]
 98%|█████████▊| 2090/2134 [53:21<00:42,  1.04it/s]
                                                   

 98%|█████████▊| 2090/2134 [53:21<00:42,  1.04it/s]
 98%|█████████▊| 2091/2134 [53:22<00:41,  1.04it/s]
                                                   

 98%|█████████▊| 2091/2134 [53:22<00:41,  1.04it/s]
 98%|█████████▊| 2092/2134 [53:23<00:40,  1.04it/s]
                                                   

 98%|█████████▊| 2092/2134 [53:23<00:40,  1.04it/s]
 98%|█████████▊| 2093/2134 [53:24<00:39,  1.04it/s]
                                                   

 98%|█████████▊| 2093/2134 [53:24<00:39,  1.04it/s]
 98%|█████████▊| 2094/2134 [53:25<00:38,  1.04it/s]
                                                   

 98%|█████████▊| 2094/2134 [53:25<00:38,  1.04it/s]
 98%|█████████▊| 2095/2134 [53:26<00:37,  1.05it/s]
                                                   

 98%|█████████▊| 2095/2134 [53:26<00:37,  1.05it/s]
 98%|█████████▊| 2096/2134 [53:27<00:36,  1.05it/s]
                                                   

 98%|█████████▊| 2096/2134 [53:27<00:36,  1.05it/s]
 98%|█████████▊| 2097/2134 [53:28<00:35,  1.05it/s]
                                                   

 98%|█████████▊| 2097/2134 [53:28<00:35,  1.05it/s]
 98%|█████████▊| 2098/2134 [53:29<00:34,  1.05it/s]
                                                   

 98%|█████████▊| 2098/2134 [53:29<00:34,  1.05it/s]
 98%|█████████▊| 2099/2134 [53:30<00:33,  1.05it/s]
                                                   

 98%|█████████▊| 2099/2134 [53:30<00:33,  1.05it/s]
 98%|█████████▊| 2100/2134 [53:44<02:45,  4.85s/it]
                                                   

 98%|█████████▊| 2100/2134 [53:44<02:45,  4.85s/it]
 98%|█████████▊| 2101/2134 [53:45<02:01,  3.68s/it]
                                                   

 98%|█████████▊| 2101/2134 [53:45<02:01,  3.68s/it]
 99%|█████████▊| 2102/2134 [53:46<01:31,  2.85s/it]
                                                   

 99%|█████████▊| 2102/2134 [53:46<01:31,  2.85s/it]
 99%|█████████▊| 2103/2134 [53:47<01:10,  2.27s/it]
                                                   

 99%|█████████▊| 2103/2134 [53:47<01:10,  2.27s/it]
 99%|█████████▊| 2104/2134 [53:48<00:55,  1.86s/it]
                                                   

 99%|█████████▊| 2104/2134 [53:48<00:55,  1.86s/it]
 99%|█████████▊| 2105/2134 [53:49<00:45,  1.58s/it]
                                                   

 99%|█████████▊| 2105/2134 [53:49<00:45,  1.58s/it]
 99%|█████████▊| 2106/2134 [53:50<00:38,  1.39s/it]
                                                   

 99%|█████████▊| 2106/2134 [53:50<00:38,  1.39s/it]
 99%|█████████▊| 2107/2134 [53:50<00:33,  1.25s/it]
                                                   

 99%|█████████▊| 2107/2134 [53:50<00:33,  1.25s/it]
 99%|█████████▉| 2108/2134 [53:51<00:29,  1.15s/it]
                                                   

 99%|█████████▉| 2108/2134 [53:51<00:29,  1.15s/it]
 99%|█████████▉| 2109/2134 [53:52<00:27,  1.09s/it]
                                                   
{'loss': 0.0516, 'grad_norm': 0.2710280418395996, 'learning_rate': 1.016280217069561e-05, 'epoch': 0.95}
{'loss': 0.0511, 'grad_norm': 0.23791557550430298, 'learning_rate': 1.0064134188455848e-05, 'epoch': 0.95}
{'loss': 0.0498, 'grad_norm': 0.28082412481307983, 'learning_rate': 9.965466206216083e-06, 'epoch': 0.95}
{'loss': 0.0578, 'grad_norm': 0.2521923780441284, 'learning_rate': 9.86679822397632e-06, 'epoch': 0.95}
{'loss': 0.067, 'grad_norm': 0.37443315982818604, 'learning_rate': 9.768130241736558e-06, 'epoch': 0.95}
{'loss': 0.0576, 'grad_norm': 0.2987256646156311, 'learning_rate': 9.669462259496794e-06, 'epoch': 0.95}
{'loss': 0.0617, 'grad_norm': 0.3037154972553253, 'learning_rate': 9.570794277257032e-06, 'epoch': 0.96}
{'loss': 0.0544, 'grad_norm': 0.2390408217906952, 'learning_rate': 9.472126295017267e-06, 'epoch': 0.96}
{'loss': 0.0751, 'grad_norm': 0.3231150209903717, 'learning_rate': 9.373458312777505e-06, 'epoch': 0.96}
{'loss': 0.0682, 'grad_norm': 0.4271107017993927, 'learning_rate': 9.274790330537742e-06, 'epoch': 0.96}
{'loss': 0.0459, 'grad_norm': 0.2453688234090805, 'learning_rate': 9.176122348297978e-06, 'epoch': 0.96}
{'loss': 0.0514, 'grad_norm': 0.21516916155815125, 'learning_rate': 9.077454366058215e-06, 'epoch': 0.96}
{'loss': 0.0508, 'grad_norm': 0.22151727974414825, 'learning_rate': 8.978786383818451e-06, 'epoch': 0.96}
{'loss': 0.0585, 'grad_norm': 0.2653747498989105, 'learning_rate': 8.880118401578689e-06, 'epoch': 0.96}
{'loss': 0.051, 'grad_norm': 0.31141945719718933, 'learning_rate': 8.781450419338926e-06, 'epoch': 0.96}
{'loss': 0.0572, 'grad_norm': 0.35758429765701294, 'learning_rate': 8.682782437099162e-06, 'epoch': 0.96}
{'loss': 0.0523, 'grad_norm': 0.29982224106788635, 'learning_rate': 8.5841144548594e-06, 'epoch': 0.96}
{'loss': 0.054, 'grad_norm': 0.2372954934835434, 'learning_rate': 8.485446472619635e-06, 'epoch': 0.96}
{'loss': 0.0713, 'grad_norm': 0.4259580075740814, 'learning_rate': 8.386778490379873e-06, 'epoch': 0.96}
{'loss': 0.0575, 'grad_norm': 0.3646070957183838, 'learning_rate': 8.28811050814011e-06, 'epoch': 0.96}
{'loss': 0.0499, 'grad_norm': 0.24408994615077972, 'learning_rate': 8.189442525900346e-06, 'epoch': 0.96}
{'loss': 0.0455, 'grad_norm': 0.2726357579231262, 'learning_rate': 8.090774543660583e-06, 'epoch': 0.96}
{'loss': 0.0369, 'grad_norm': 0.18328100442886353, 'learning_rate': 7.99210656142082e-06, 'epoch': 0.96}
{'loss': 0.0681, 'grad_norm': 0.3122285008430481, 'learning_rate': 7.893438579181057e-06, 'epoch': 0.96}
{'loss': 0.0487, 'grad_norm': 0.2972337603569031, 'learning_rate': 7.794770596941294e-06, 'epoch': 0.96}
{'loss': 0.0615, 'grad_norm': 0.30595090985298157, 'learning_rate': 7.69610261470153e-06, 'epoch': 0.96}
{'loss': 0.0651, 'grad_norm': 0.3563493490219116, 'learning_rate': 7.5974346324617665e-06, 'epoch': 0.96}
{'loss': 0.0534, 'grad_norm': 0.30106377601623535, 'learning_rate': 7.498766650222003e-06, 'epoch': 0.96}
{'loss': 0.0489, 'grad_norm': 0.2147221863269806, 'learning_rate': 7.40009866798224e-06, 'epoch': 0.97}
{'loss': 0.06, 'grad_norm': 0.3516634404659271, 'learning_rate': 7.301430685742477e-06, 'epoch': 0.97}
{'loss': 0.0373, 'grad_norm': 0.17094512283802032, 'learning_rate': 7.202762703502713e-06, 'epoch': 0.97}
{'loss': 0.0517, 'grad_norm': 0.26980459690093994, 'learning_rate': 7.1040947212629505e-06, 'epoch': 0.97}
{'loss': 0.0556, 'grad_norm': 0.22643716633319855, 'learning_rate': 7.005426739023187e-06, 'epoch': 0.97}
{'loss': 0.0485, 'grad_norm': 0.24722768366336823, 'learning_rate': 6.906758756783424e-06, 'epoch': 0.97}
{'loss': 0.0623, 'grad_norm': 0.27555739879608154, 'learning_rate': 6.808090774543661e-06, 'epoch': 0.97}
{'loss': 0.0513, 'grad_norm': 0.24950739741325378, 'learning_rate': 6.709422792303898e-06, 'epoch': 0.97}
{'loss': 0.0475, 'grad_norm': 0.21711602807044983, 'learning_rate': 6.6107548100641344e-06, 'epoch': 0.97}
{'loss': 0.0567, 'grad_norm': 0.2841053605079651, 'learning_rate': 6.512086827824371e-06, 'epoch': 0.97}
{'loss': 0.0571, 'grad_norm': 0.3041815459728241, 'learning_rate': 6.413418845584608e-06, 'epoch': 0.97}
{'loss': 0.0439, 'grad_norm': 0.2667212188243866, 'learning_rate': 6.314750863344845e-06, 'epoch': 0.97}
{'loss': 0.0488, 'grad_norm': 0.27456071972846985, 'learning_rate': 6.216082881105082e-06, 'epoch': 0.97}
{'loss': 0.055, 'grad_norm': 0.28817981481552124, 'learning_rate': 6.117414898865318e-06, 'epoch': 0.97}
{'loss': 0.0685, 'grad_norm': 0.3397635221481323, 'learning_rate': 6.018746916625555e-06, 'epoch': 0.97}
{'loss': 0.0606, 'grad_norm': 0.2528303265571594, 'learning_rate': 5.9200789343857925e-06, 'epoch': 0.97}
{'loss': 0.0596, 'grad_norm': 0.27404701709747314, 'learning_rate': 5.821410952146029e-06, 'epoch': 0.97}
{'loss': 0.0588, 'grad_norm': 0.25330570340156555, 'learning_rate': 5.722742969906266e-06, 'epoch': 0.97}
{'loss': 0.0579, 'grad_norm': 0.35267356038093567, 'learning_rate': 5.624074987666502e-06, 'epoch': 0.97}
{'loss': 0.0545, 'grad_norm': 0.2630956470966339, 'learning_rate': 5.52540700542674e-06, 'epoch': 0.97}
{'loss': 0.0622, 'grad_norm': 0.36279070377349854, 'learning_rate': 5.4267390231869764e-06, 'epoch': 0.97}
{'loss': 0.0652, 'grad_norm': 0.2866794764995575, 'learning_rate': 5.328071040947213e-06, 'epoch': 0.98}
{'loss': 0.0572, 'grad_norm': 0.2540443539619446, 'learning_rate': 5.22940305870745e-06, 'epoch': 0.98}
{'loss': 0.0617, 'grad_norm': 0.26600781083106995, 'learning_rate': 5.130735076467687e-06, 'epoch': 0.98}
{'loss': 0.0557, 'grad_norm': 0.2947366237640381, 'learning_rate': 5.032067094227924e-06, 'epoch': 0.98}
{'loss': 0.0568, 'grad_norm': 0.330266535282135, 'learning_rate': 4.93339911198816e-06, 'epoch': 0.98}
{'loss': 0.0599, 'grad_norm': 0.33506420254707336, 'learning_rate': 4.834731129748397e-06, 'epoch': 0.98}
{'loss': 0.0393, 'grad_norm': 0.19823405146598816, 'learning_rate': 4.736063147508634e-06, 'epoch': 0.98}
{'loss': 0.0531, 'grad_norm': 0.2723526656627655, 'learning_rate': 4.637395165268871e-06, 'epoch': 0.98}
{'loss': 0.0493, 'grad_norm': 0.218427374958992, 'learning_rate': 4.538727183029108e-06, 'epoch': 0.98}
{'loss': 0.0458, 'grad_norm': 0.20119526982307434, 'learning_rate': 4.440059200789344e-06, 'epoch': 0.98}
{'loss': 0.0514, 'grad_norm': 0.2607121169567108, 'learning_rate': 4.341391218549581e-06, 'epoch': 0.98}
{'loss': 0.0619, 'grad_norm': 0.27393293380737305, 'learning_rate': 4.242723236309818e-06, 'epoch': 0.98}
{'loss': 0.0648, 'grad_norm': 0.27677610516548157, 'learning_rate': 4.144055254070055e-06, 'epoch': 0.98}
{'loss': 0.0556, 'grad_norm': 0.30490607023239136, 'learning_rate': 4.045387271830292e-06, 'epoch': 0.98}
{'loss': 0.0587, 'grad_norm': 0.2613983750343323, 'learning_rate': 3.946719289590528e-06, 'epoch': 0.98}
{'loss': 0.0496, 'grad_norm': 0.2060542106628418, 'learning_rate': 3.848051307350765e-06, 'epoch': 0.98}
{'loss': 0.0475, 'grad_norm': 0.24016492068767548, 'learning_rate': 3.7493833251110016e-06, 'epoch': 0.98}
{'loss': 0.0505, 'grad_norm': 0.2642660140991211, 'learning_rate': 3.6507153428712386e-06, 'epoch': 0.98}
{'loss': 0.0585, 'grad_norm': 0.250749409198761, 'learning_rate': 3.5520473606314752e-06, 'epoch': 0.98}
{'loss': 0.0533, 'grad_norm': 0.2667960822582245, 'learning_rate': 3.453379378391712e-06, 'epoch': 0.98}
{'loss': 0.0506, 'grad_norm': 0.3037709891796112, 'learning_rate': 3.354711396151949e-06, 'epoch': 0.98}
{'loss': 0.0504, 'grad_norm': 0.24210065603256226, 'learning_rate': 3.2560434139121855e-06, 'epoch': 0.99}
{'loss': 0.0531, 'grad_norm': 0.26821157336235046, 'learning_rate': 3.1573754316724226e-06, 'epoch': 0.99}
{'loss': 0.0868, 'grad_norm': 0.358079195022583, 'learning_rate': 3.058707449432659e-06, 'epoch': 0.99}
{'loss': 0.0588, 'grad_norm': 0.32515010237693787, 'learning_rate': 2.9600394671928962e-06, 'epoch': 0.99}
{'loss': 0.0779, 'grad_norm': 0.3991830348968506, 'learning_rate': 2.861371484953133e-06, 'epoch': 0.99}
{'loss': 0.0652, 'grad_norm': 0.31450456380844116, 'learning_rate': 2.76270350271337e-06, 'epoch': 0.99}
{'loss': 0.0548, 'grad_norm': 0.22313150763511658, 'learning_rate': 2.6640355204736065e-06, 'epoch': 0.99}
{'loss': 0.0562, 'grad_norm': 0.2294868677854538, 'learning_rate': 2.5653675382338436e-06, 'epoch': 0.99}
 99%|█████████▉| 2109/2134 [53:52<00:27,  1.09s/it]
 99%|█████████▉| 2110/2134 [53:53<00:24,  1.04s/it]
                                                   

 99%|█████████▉| 2110/2134 [53:53<00:24,  1.04s/it]
 99%|█████████▉| 2111/2134 [53:54<00:23,  1.00s/it]
                                                   

 99%|█████████▉| 2111/2134 [53:54<00:23,  1.00s/it]
 99%|█████████▉| 2112/2134 [53:55<00:21,  1.02it/s]
                                                   

 99%|█████████▉| 2112/2134 [53:55<00:21,  1.02it/s]
 99%|█████████▉| 2113/2134 [53:56<00:20,  1.04it/s]
                                                   

 99%|█████████▉| 2113/2134 [53:56<00:20,  1.04it/s]
 99%|█████████▉| 2114/2134 [53:57<00:19,  1.05it/s]
                                                   

 99%|█████████▉| 2114/2134 [53:57<00:19,  1.05it/s]
 99%|█████████▉| 2115/2134 [53:58<00:17,  1.06it/s]
                                                   

 99%|█████████▉| 2115/2134 [53:58<00:17,  1.06it/s]
 99%|█████████▉| 2116/2134 [53:59<00:16,  1.07it/s]
                                                   

 99%|█████████▉| 2116/2134 [53:59<00:16,  1.07it/s]
 99%|█████████▉| 2117/2134 [54:00<00:15,  1.07it/s]
                                                   

 99%|█████████▉| 2117/2134 [54:00<00:15,  1.07it/s]
 99%|█████████▉| 2118/2134 [54:01<00:14,  1.08it/s]
                                                   

 99%|█████████▉| 2118/2134 [54:01<00:14,  1.08it/s]
 99%|█████████▉| 2119/2134 [54:02<00:14,  1.06it/s]
                                                   

 99%|█████████▉| 2119/2134 [54:02<00:14,  1.06it/s]
 99%|█████████▉| 2120/2134 [54:03<00:13,  1.07it/s]
                                                   

 99%|█████████▉| 2120/2134 [54:03<00:13,  1.07it/s]
 99%|█████████▉| 2121/2134 [54:03<00:12,  1.07it/s]
                                                   

 99%|█████████▉| 2121/2134 [54:03<00:12,  1.07it/s]
 99%|█████████▉| 2122/2134 [54:04<00:11,  1.08it/s]
                                                   

 99%|█████████▉| 2122/2134 [54:04<00:11,  1.08it/s]
 99%|█████████▉| 2123/2134 [54:05<00:10,  1.08it/s]
                                                   

 99%|█████████▉| 2123/2134 [54:05<00:10,  1.08it/s]
100%|█████████▉| 2124/2134 [54:06<00:09,  1.08it/s]
                                                   

100%|█████████▉| 2124/2134 [54:06<00:09,  1.08it/s]
100%|█████████▉| 2125/2134 [54:20<00:44,  4.90s/it]
                                                   

100%|█████████▉| 2125/2134 [54:20<00:44,  4.90s/it]
100%|█████████▉| 2126/2134 [54:21<00:29,  3.72s/it]
                                                   

100%|█████████▉| 2126/2134 [54:21<00:29,  3.72s/it]
100%|█████████▉| 2127/2134 [54:22<00:20,  2.89s/it]
                                                   

100%|█████████▉| 2127/2134 [54:22<00:20,  2.89s/it]
100%|█████████▉| 2128/2134 [54:23<00:13,  2.30s/it]
                                                   

100%|█████████▉| 2128/2134 [54:23<00:13,  2.30s/it]
100%|█████████▉| 2129/2134 [54:24<00:09,  1.90s/it]
                                                   

100%|█████████▉| 2129/2134 [54:24<00:09,  1.90s/it]
100%|█████████▉| 2130/2134 [54:25<00:06,  1.61s/it]
                                                   

100%|█████████▉| 2130/2134 [54:25<00:06,  1.61s/it]
100%|█████████▉| 2131/2134 [54:26<00:04,  1.41s/it]
                                                   

100%|█████████▉| 2131/2134 [54:26<00:04,  1.41s/it]
100%|█████████▉| 2132/2134 [54:27<00:02,  1.27s/it]
                                                   

100%|█████████▉| 2132/2134 [54:27<00:02,  1.27s/it]
100%|█████████▉| 2133/2134 [54:28<00:01,  1.17s/it]
                                                   

100%|█████████▉| 2133/2134 [54:28<00:01,  1.17s/it]
100%|██████████| 2134/2134 [54:30<00:00,  1.38s/it]
                                                   

100%|██████████| 2134/2134 [54:30<00:00,  1.38s/it]
                                                   

100%|██████████| 2134/2134 [54:33<00:00,  1.38s/it]
100%|██████████| 2134/2134 [54:33<00:00,  1.53s/it]
The attention mask is not set and cannot be inferred from input because pad token is same as eos token. As a consequence, you may observe unexpected behavior. Please pass your input's `attention_mask` to obtain reliable results.

{'loss': 0.0582, 'grad_norm': 0.31977543234825134, 'learning_rate': 2.46669955599408e-06, 'epoch': 0.99}
{'loss': 0.0479, 'grad_norm': 0.2559770941734314, 'learning_rate': 2.368031573754317e-06, 'epoch': 0.99}
{'loss': 0.0525, 'grad_norm': 0.2542838454246521, 'learning_rate': 2.269363591514554e-06, 'epoch': 0.99}
{'loss': 0.052, 'grad_norm': 0.24121499061584473, 'learning_rate': 2.1706956092747905e-06, 'epoch': 0.99}
{'loss': 0.0463, 'grad_norm': 0.22313706576824188, 'learning_rate': 2.0720276270350275e-06, 'epoch': 0.99}
{'loss': 0.0572, 'grad_norm': 0.26837798953056335, 'learning_rate': 1.973359644795264e-06, 'epoch': 0.99}
{'loss': 0.0499, 'grad_norm': 0.26790669560432434, 'learning_rate': 1.8746916625555008e-06, 'epoch': 0.99}
{'loss': 0.0509, 'grad_norm': 0.25122174620628357, 'learning_rate': 1.7760236803157376e-06, 'epoch': 0.99}
{'loss': 0.0562, 'grad_norm': 0.3031313419342041, 'learning_rate': 1.6773556980759745e-06, 'epoch': 0.99}
{'loss': 0.0454, 'grad_norm': 0.22963778674602509, 'learning_rate': 1.5786877158362113e-06, 'epoch': 0.99}
{'loss': 0.057, 'grad_norm': 0.2834823429584503, 'learning_rate': 1.4800197335964481e-06, 'epoch': 0.99}
{'loss': 0.0467, 'grad_norm': 0.2182728499174118, 'learning_rate': 1.381351751356685e-06, 'epoch': 0.99}
{'loss': 0.0486, 'grad_norm': 0.2604712247848511, 'learning_rate': 1.2826837691169218e-06, 'epoch': 0.99}
{'loss': 0.0501, 'grad_norm': 0.2350526750087738, 'learning_rate': 1.1840157868771584e-06, 'epoch': 0.99}
{'loss': 0.0392, 'grad_norm': 0.18359364569187164, 'learning_rate': 1.0853478046373952e-06, 'epoch': 1.0}
{'loss': 0.0573, 'grad_norm': 0.20137739181518555, 'learning_rate': 9.86679822397632e-07, 'epoch': 1.0}
{'loss': 0.0376, 'grad_norm': 0.18712987005710602, 'learning_rate': 8.880118401578688e-07, 'epoch': 1.0}
{'loss': 0.0587, 'grad_norm': 0.28465768694877625, 'learning_rate': 7.893438579181056e-07, 'epoch': 1.0}
{'loss': 0.062, 'grad_norm': 0.34546032547950745, 'learning_rate': 6.906758756783425e-07, 'epoch': 1.0}
{'loss': 0.0562, 'grad_norm': 0.24869142472743988, 'learning_rate': 5.920078934385792e-07, 'epoch': 1.0}
{'loss': 0.0555, 'grad_norm': 0.28032711148262024, 'learning_rate': 4.93339911198816e-07, 'epoch': 1.0}
{'loss': 0.06, 'grad_norm': 0.2766742706298828, 'learning_rate': 3.946719289590528e-07, 'epoch': 1.0}
{'loss': 0.068, 'grad_norm': 0.3688201606273651, 'learning_rate': 2.960039467192896e-07, 'epoch': 1.0}
{'loss': 0.0695, 'grad_norm': 0.36430177092552185, 'learning_rate': 1.973359644795264e-07, 'epoch': 1.0}
{'loss': 0.0545, 'grad_norm': 0.3071165382862091, 'learning_rate': 9.86679822397632e-08, 'epoch': 1.0}
{'train_runtime': 3273.6287, 'train_samples_per_second': 5.215, 'train_steps_per_second': 0.652, 'train_loss': 0.2681274875516688, 'epoch': 1.0}
Training finished for run: mario_sft_dataset_numbers_v2.1_str_window_vertical_newline-Qwen2.5-7B-Inst-resp-r128-a128-e1-1287
Model saved to batch_saved_models/mario_sft_dataset_numbers_v2.1_str_window_vertical_newline-Qwen2.5-7B-Inst-resp-r128-a128-e1-1287
Log Updated
Starting Inference
Running with prompt_gen: full
Running with temperature: 1.0
Generating sample 1/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  53%|█████▎    | 9103/17071 [00:00<00:00, 91022.49it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 101105.60it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2149598.11it/s]
Sample 1 completed
Generating sample 2/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13600/17071 [00:00<00:00, 135986.51it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135177.52it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2273407.32it/s]
Sample 2 completed
Generating sample 3/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████▏ | 13896/17071 [00:00<00:00, 138950.19it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138340.90it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2275647.20it/s]
Sample 3 completed
Generating sample 4/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13596/17071 [00:00<00:00, 135950.08it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135699.38it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2234318.28it/s]
Sample 4 completed
Generating sample 5/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13799/17071 [00:00<00:00, 137983.22it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137896.23it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2194127.53it/s]
Sample 5 completed
Generating sample 6/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13486/17071 [00:00<00:00, 134843.73it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134389.72it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2223494.30it/s]
Sample 6 completed
Generating sample 7/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████▏ | 13903/17071 [00:00<00:00, 139019.53it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 139021.55it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2161734.30it/s]
Sample 7 completed
Generating sample 8/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  69%|██████▉   | 11763/17071 [00:00<00:00, 117622.54it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 118879.04it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2201751.65it/s]
Sample 8 completed
Generating sample 9/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13828/17071 [00:00<00:00, 138270.57it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137961.59it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2214896.64it/s]
Sample 9 completed
Generating sample 10/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13739/17071 [00:00<00:00, 137381.94it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137311.01it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2174932.83it/s]
Sample 10 completed
Generating sample 11/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  77%|███████▋  | 13145/17071 [00:00<00:00, 131439.16it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 131019.71it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2226813.57it/s]
Sample 11 completed
Generating sample 12/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  32%|███▏      | 5417/17071 [00:00<00:01, 11116.53it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 29730.90it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2002376.07it/s]
Sample 12 completed
Generating sample 13/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13482/17071 [00:00<00:00, 134811.13it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135323.65it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2211202.98it/s]
Sample 13 completed
Generating sample 14/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  69%|██████▉   | 11771/17071 [00:00<00:00, 117702.82it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 122250.41it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2075450.41it/s]
Sample 14 completed
Generating sample 15/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13561/17071 [00:00<00:00, 135600.75it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135929.17it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2104920.14it/s]
Sample 15 completed
Generating sample 16/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  77%|███████▋  | 13192/17071 [00:00<00:00, 131913.21it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 128591.84it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2085424.47it/s]
Sample 16 completed
Generating sample 17/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13642/17071 [00:00<00:00, 136409.40it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136863.24it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2190368.74it/s]
Sample 17 completed
Generating sample 18/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13527/17071 [00:00<00:00, 135259.81it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135827.58it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2127751.44it/s]
Sample 18 completed
Generating sample 19/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  75%|███████▍  | 12795/17071 [00:00<00:00, 127943.41it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 128574.29it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2207930.05it/s]
Sample 19 completed
Generating sample 20/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13467/17071 [00:00<00:00, 134652.47it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134557.42it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2086214.38it/s]
Sample 20 completed
Generating sample 21/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13629/17071 [00:00<00:00, 136285.91it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136727.60it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2087795.99it/s]
Sample 21 completed
Generating sample 22/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13700/17071 [00:00<00:00, 136993.92it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137628.79it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2181360.09it/s]
Sample 22 completed
Generating sample 23/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  77%|███████▋  | 13161/17071 [00:00<00:00, 131603.22it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 132560.75it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2068077.05it/s]
Sample 23 completed
Generating sample 24/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13345/17071 [00:00<00:00, 133440.58it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134323.17it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2198844.20it/s]
Sample 24 completed
Generating sample 25/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13641/17071 [00:00<00:00, 136398.42it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136861.41it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2237669.97it/s]
Sample 25 completed
Generating sample 26/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13727/17071 [00:00<00:00, 137261.62it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137667.69it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2183155.89it/s]
Sample 26 completed
Generating sample 27/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  68%|██████▊   | 11597/17071 [00:00<00:00, 115801.69it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 121350.16it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2092188.40it/s]
Sample 27 completed
Generating sample 28/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13503/17071 [00:00<00:00, 135018.54it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 29815.17it/s] 

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2128447.19it/s]
Sample 28 completed
Generating sample 29/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13686/17071 [00:00<00:00, 136851.32it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137153.99it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2182357.39it/s]
Sample 29 completed
Generating sample 30/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13642/17071 [00:00<00:00, 136414.28it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136851.47it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2098319.71it/s]
Sample 30 completed
Generating sample 31/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13674/17071 [00:00<00:00, 136728.07it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136733.08it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2058978.10it/s]
Sample 31 completed
Generating sample 32/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13580/17071 [00:00<00:00, 135785.24it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136208.44it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2084331.73it/s]
Sample 32 completed
Generating sample 33/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▊  | 13440/17071 [00:00<00:00, 134390.20it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134891.53it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2109136.43it/s]
Sample 33 completed
Generating sample 34/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13457/17071 [00:00<00:00, 134564.67it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135513.95it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2053839.81it/s]
Sample 34 completed
Generating sample 35/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13632/17071 [00:00<00:00, 136311.03it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136685.84it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2284286.60it/s]
Sample 35 completed
Generating sample 36/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13714/17071 [00:00<00:00, 137125.75it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137630.11it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2189698.88it/s]
Sample 36 completed
Generating sample 37/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13744/17071 [00:00<00:00, 137430.63it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137625.35it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2014205.12it/s]
Sample 37 completed
Generating sample 38/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  68%|██████▊   | 11619/17071 [00:00<00:00, 116186.51it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 121517.19it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2061527.23it/s]
Sample 38 completed
Generating sample 39/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13596/17071 [00:00<00:00, 135947.16it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136333.19it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2128067.63it/s]
Sample 39 completed
Generating sample 40/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13574/17071 [00:00<00:00, 135728.80it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 132378.89it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2102386.11it/s]
Sample 40 completed
Generating sample 41/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13701/17071 [00:00<00:00, 136997.72it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137527.01it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1971120.81it/s]
Sample 41 completed
Generating sample 42/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13643/17071 [00:00<00:00, 136419.72it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137182.36it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2067360.50it/s]
Sample 42 completed
Generating sample 43/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13755/17071 [00:00<00:00, 137539.64it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138472.80it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2111624.50it/s]
Sample 43 completed
Generating sample 44/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13823/17071 [00:00<00:00, 138219.59it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138215.39it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2158215.69it/s]
Sample 44 completed
Generating sample 45/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13762/17071 [00:00<00:00, 137612.91it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137910.31it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2188561.06it/s]
Sample 45 completed
Generating sample 46/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  23%|██▎       | 4001/17071 [00:00<00:01, 8508.99it/s]
Calculating metrics (sequential): 100%|█████████▉| 17035/17071 [00:00<00:00, 36897.83it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 29913.54it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2049841.50it/s]
Sample 46 completed
Generating sample 47/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13538/17071 [00:00<00:00, 135374.64it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135685.24it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1955081.88it/s]
Sample 47 completed
Generating sample 48/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13840/17071 [00:00<00:00, 138391.55it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138569.01it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2123964.39it/s]
Sample 48 completed
Generating sample 49/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13783/17071 [00:00<00:00, 137824.87it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138481.91it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2033482.82it/s]
Sample 49 completed
Generating sample 50/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13752/17071 [00:00<00:00, 137514.56it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137914.82it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2143741.42it/s]
Sample 50 completed
Generating sample 51/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13679/17071 [00:00<00:00, 136785.24it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136873.71it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2070529.01it/s]
Sample 51 completed
Generating sample 52/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13553/17071 [00:00<00:00, 135524.96it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135912.40it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2135557.25it/s]
Sample 52 completed
Generating sample 53/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13773/17071 [00:00<00:00, 137724.22it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138312.31it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2134984.15it/s]
Sample 53 completed
Generating sample 54/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13652/17071 [00:00<00:00, 136506.14it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136827.15it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2177313.78it/s]
Sample 54 completed
Generating sample 55/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13671/17071 [00:00<00:00, 136695.79it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136930.25it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2260630.93it/s]
Sample 55 completed
Generating sample 56/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13382/17071 [00:00<00:00, 133807.05it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133732.59it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2161930.12it/s]
Sample 56 completed
Generating sample 57/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  68%|██████▊   | 11543/17071 [00:00<00:00, 115418.55it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 120787.41it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2215582.00it/s]
Sample 57 completed
Generating sample 58/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13494/17071 [00:00<00:00, 134926.62it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 131488.41it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2126424.44it/s]
Sample 58 completed
Generating sample 59/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13752/17071 [00:00<00:00, 137512.26it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137628.52it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2093534.21it/s]
Sample 59 completed
Generating sample 60/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13811/17071 [00:00<00:00, 138097.95it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138324.07it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2124279.46it/s]
Sample 60 completed
Generating sample 61/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▊  | 13410/17071 [00:00<00:00, 134086.38it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134417.48it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2141177.14it/s]
Sample 61 completed
Generating sample 62/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13678/17071 [00:00<00:00, 136356.53it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 33209.54it/s] 

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2077558.14it/s]
Sample 62 completed
Generating sample 63/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13601/17071 [00:00<00:00, 136002.67it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136459.47it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2177181.37it/s]
Sample 63 completed
Generating sample 64/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13262/17071 [00:00<00:00, 132610.96it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133149.66it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1985275.98it/s]
Sample 64 completed
Generating sample 65/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13705/17071 [00:00<00:00, 137037.39it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136975.30it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2134729.54it/s]
Sample 65 completed
Generating sample 66/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13704/17071 [00:00<00:00, 137033.92it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137800.43it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2080939.42it/s]
Sample 66 completed
Generating sample 67/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13551/17071 [00:00<00:00, 135496.24it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135836.08it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2163759.44it/s]
Sample 67 completed
Generating sample 68/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13724/17071 [00:00<00:00, 137231.95it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137392.16it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2124342.49it/s]
Sample 68 completed
Generating sample 69/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  69%|██████▉   | 11815/17071 [00:00<00:00, 118141.38it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 123114.56it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2159452.41it/s]
Sample 69 completed
Generating sample 70/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13375/17071 [00:00<00:00, 133741.84it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 130504.37it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2075811.43it/s]
Sample 70 completed
Generating sample 71/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13602/17071 [00:00<00:00, 136013.97it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136030.66it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2149985.39it/s]
Sample 71 completed
Generating sample 72/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▊  | 13423/17071 [00:00<00:00, 134223.41it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134578.66it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2125793.11it/s]
Sample 72 completed
Generating sample 73/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13673/17071 [00:00<00:00, 136726.87it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137448.87it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2089562.94it/s]
Sample 73 completed
Generating sample 74/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13704/17071 [00:00<00:00, 137029.68it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137770.73it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2069930.43it/s]
Sample 74 completed
Generating sample 75/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13688/17071 [00:00<00:00, 136871.32it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137308.11it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2185821.77it/s]
Sample 75 completed
Generating sample 76/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  77%|███████▋  | 13095/17071 [00:00<00:00, 130942.94it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 131673.64it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2159126.82it/s]
Sample 76 completed
Generating sample 77/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13684/17071 [00:00<00:00, 136827.41it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137235.21it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2115742.67it/s]
Sample 77 completed
Generating sample 78/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13485/17071 [00:00<00:00, 134837.91it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135469.08it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2099365.61it/s]
Sample 78 completed
Generating sample 79/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  68%|██████▊   | 11582/17071 [00:00<00:00, 22054.36it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 30205.69it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2097766.42it/s]
Sample 79 completed
Generating sample 80/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13692/17071 [00:00<00:00, 136915.23it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136933.91it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2164151.84it/s]
Sample 80 completed
Generating sample 81/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13454/17071 [00:00<00:00, 134529.22it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135030.17it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2155811.39it/s]
Sample 81 completed
Generating sample 82/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▊  | 13419/17071 [00:00<00:00, 134177.65it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134368.29it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2126613.91it/s]
Sample 82 completed
Generating sample 83/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13652/17071 [00:00<00:00, 136508.74it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136278.70it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2098627.22it/s]
Sample 83 completed
Generating sample 84/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13447/17071 [00:00<00:00, 134460.83it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134860.28it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2121761.50it/s]
Sample 84 completed
Generating sample 85/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13397/17071 [00:00<00:00, 133961.18it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134522.28it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2208134.32it/s]
Sample 85 completed
Generating sample 86/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  69%|██████▉   | 11847/17071 [00:00<00:00, 118465.59it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 123079.85it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2189899.79it/s]
Sample 86 completed
Generating sample 87/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13400/17071 [00:00<00:00, 133993.42it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 130184.75it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2127751.44it/s]
Sample 87 completed
Generating sample 88/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13616/17071 [00:00<00:00, 136156.88it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136342.27it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2132567.79it/s]
Sample 88 completed
Generating sample 89/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13613/17071 [00:00<00:00, 136125.26it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135950.08it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2098196.74it/s]
Sample 89 completed
Generating sample 90/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13622/17071 [00:00<00:00, 136211.69it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136267.80it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2061230.49it/s]
Sample 90 completed
Generating sample 91/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13664/17071 [00:00<00:00, 136628.40it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136836.30it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2081968.06it/s]
Sample 91 completed
Generating sample 92/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▊  | 13413/17071 [00:00<00:00, 134121.17it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135020.75it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2078945.55it/s]
Sample 92 completed
Generating sample 93/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  77%|███████▋  | 13091/17071 [00:00<00:00, 130899.20it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 132031.53it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2069571.45it/s]
Sample 93 completed
Generating sample 94/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13382/17071 [00:00<00:00, 133812.47it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134082.19it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2094514.07it/s]
Sample 94 completed
Generating sample 95/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13780/17071 [00:00<00:00, 137793.56it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137976.48it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2159257.04it/s]
Sample 95 completed
Generating sample 96/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  48%|████▊     | 8157/17071 [00:00<00:00, 16310.90it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 30188.46it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2119312.23it/s]
Sample 96 completed
Generating sample 97/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  69%|██████▊   | 11711/17071 [00:00<00:00, 117099.78it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 121968.86it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2050076.26it/s]
Sample 97 completed
Generating sample 98/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13370/17071 [00:00<00:00, 133686.42it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 129510.12it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2086153.59it/s]
Sample 98 completed
Generating sample 99/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13739/17071 [00:00<00:00, 137384.24it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137552.11it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2172425.24it/s]
Sample 99 completed
Generating sample 100/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13661/17071 [00:00<00:00, 136603.94it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136792.38it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2037765.42it/s]
Sample 100 completed
Generating sample 101/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13538/17071 [00:00<00:00, 135376.58it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134863.58it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1972206.68it/s]
Sample 101 completed
Generating sample 102/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13617/17071 [00:00<00:00, 136159.42it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136288.55it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2085606.70it/s]
Sample 102 completed
Generating sample 103/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13790/17071 [00:00<00:00, 137897.17it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138267.71it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2063904.17it/s]
Sample 103 completed
Generating sample 104/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13707/17071 [00:00<00:00, 137067.19it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136985.00it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2106096.53it/s]
Sample 104 completed
Generating sample 105/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13688/17071 [00:00<00:00, 136870.34it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136881.03it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2077015.74it/s]
Sample 105 completed
Generating sample 106/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13367/17071 [00:00<00:00, 133656.74it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133839.58it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2003945.24it/s]
Sample 106 completed
Generating sample 107/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13615/17071 [00:00<00:00, 136147.21it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136313.98it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2090722.21it/s]
Sample 107 completed
Generating sample 108/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13708/17071 [00:00<00:00, 137069.02it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137211.55it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2169200.30it/s]
Sample 108 completed
Generating sample 109/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13751/17071 [00:00<00:00, 137501.61it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137366.33it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2025200.50it/s]
Sample 109 completed
Generating sample 110/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13649/17071 [00:00<00:00, 136486.55it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136271.18it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2077015.74it/s]
Sample 110 completed
Generating sample 111/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13737/17071 [00:00<00:00, 137364.24it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137311.80it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2062893.30it/s]
Sample 111 completed
Generating sample 112/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13515/17071 [00:00<00:00, 135144.97it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134987.40it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2022283.33it/s]
Sample 112 completed
Generating sample 113/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):   7%|▋         | 1231/17071 [00:00<00:05, 2752.50it/s]
Calculating metrics (sequential):  87%|████████▋ | 14853/17071 [00:00<00:00, 35063.79it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 30310.08it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2068555.02it/s]
Sample 113 completed
Generating sample 114/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▊  | 13415/17071 [00:00<00:00, 134138.61it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134962.47it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2113494.41it/s]
Sample 114 completed
Generating sample 115/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13752/17071 [00:00<00:00, 137514.89it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137208.65it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2069093.01it/s]
Sample 115 completed
Generating sample 116/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13809/17071 [00:00<00:00, 138080.26it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138204.45it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2003945.24it/s]
Sample 116 completed
Generating sample 117/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  70%|██████▉   | 11923/17071 [00:00<00:00, 119223.58it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 123477.40it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2105291.49it/s]
Sample 117 completed
Generating sample 118/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13259/17071 [00:00<00:00, 132578.43it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 128815.55it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1994678.06it/s]
Sample 118 completed
Generating sample 119/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13487/17071 [00:00<00:00, 134859.52it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134885.18it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2112185.13it/s]
Sample 119 completed
Generating sample 120/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13788/17071 [00:00<00:00, 137867.31it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137303.11it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1978255.06it/s]
Sample 120 completed
Generating sample 121/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13700/17071 [00:00<00:00, 136991.64it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137270.47it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1948855.84it/s]
Sample 121 completed
Generating sample 122/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13686/17071 [00:00<00:00, 136850.67it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136644.10it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2061586.58it/s]
Sample 122 completed
Generating sample 123/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  77%|███████▋  | 13089/17071 [00:00<00:00, 130882.64it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 131145.70it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2119939.71it/s]
Sample 123 completed
Generating sample 124/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13452/17071 [00:00<00:00, 134509.22it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134185.72it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2092188.40it/s]
Sample 124 completed
Generating sample 125/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▊  | 13440/17071 [00:00<00:00, 134391.16it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134422.27it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2087430.79it/s]
Sample 125 completed
Generating sample 126/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13719/17071 [00:00<00:00, 137178.36it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137225.22it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2070529.01it/s]
Sample 126 completed
Generating sample 127/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13744/17071 [00:00<00:00, 137428.99it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137136.91it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1975962.13it/s]
Sample 127 completed
Generating sample 128/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13768/17071 [00:00<00:00, 137670.61it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137535.99it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2003833.08it/s]
Sample 128 completed
Generating sample 129/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  38%|███▊      | 6409/17071 [00:00<00:00, 12947.04it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 29767.70it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2011489.03it/s]
Sample 129 completed
Generating sample 130/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13399/17071 [00:00<00:00, 133983.74it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 130375.58it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2032097.73it/s]
Sample 130 completed
Generating sample 131/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13808/17071 [00:00<00:00, 138070.59it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138067.21it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2245811.54it/s]
Sample 131 completed
Generating sample 132/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13655/17071 [00:00<00:00, 136543.94it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136502.13it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2087187.39it/s]
Sample 132 completed
Generating sample 133/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13729/17071 [00:00<00:00, 137286.53it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137789.82it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2005516.88it/s]
Sample 133 completed
Generating sample 134/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13858/17071 [00:00<00:00, 138570.88it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138410.70it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2091577.24it/s]
Sample 134 completed
Generating sample 135/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13720/17071 [00:00<00:00, 137195.88it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137189.46it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2018862.11it/s]
Sample 135 completed
Generating sample 136/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13354/17071 [00:00<00:00, 133525.16it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133923.94it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2043173.26it/s]
Sample 136 completed
Generating sample 137/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████▏ | 13906/17071 [00:00<00:00, 139049.52it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 139028.03it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1976889.58it/s]
Sample 137 completed
Generating sample 138/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13535/17071 [00:00<00:00, 135338.84it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135365.87it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2031982.39it/s]
Sample 138 completed
Generating sample 139/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13717/17071 [00:00<00:00, 137154.76it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137502.71it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2098319.71it/s]
Sample 139 completed
Generating sample 140/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  69%|██████▉   | 11837/17071 [00:00<00:00, 118361.36it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 123278.83it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2044515.11it/s]
Sample 140 completed
Generating sample 141/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13471/17071 [00:00<00:00, 134700.17it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 131590.63it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1926828.94it/s]
Sample 141 completed
Generating sample 142/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13606/17071 [00:00<00:00, 136050.72it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136030.92it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2090355.99it/s]
Sample 142 completed
Generating sample 143/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13472/17071 [00:00<00:00, 134712.42it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134797.31it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2131996.30it/s]
Sample 143 completed
Generating sample 144/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13302/17071 [00:00<00:00, 133014.74it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133030.92it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1991515.69it/s]
Sample 144 completed
Generating sample 145/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13765/17071 [00:00<00:00, 137640.94it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137463.64it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2163955.62it/s]
Sample 145 completed
Generating sample 146/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  19%|█▉        | 3320/17071 [00:00<00:01, 7046.94it/s]
Calculating metrics (sequential):  97%|█████████▋| 16559/17071 [00:00<00:00, 36210.43it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 29684.87it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2040843.79it/s]
Sample 146 completed
Generating sample 147/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13658/17071 [00:00<00:00, 136574.59it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136567.74it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1984230.67it/s]
Sample 147 completed
Generating sample 148/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13589/17071 [00:00<00:00, 135878.14it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136458.42it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2002320.08it/s]
Sample 148 completed
Generating sample 149/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13489/17071 [00:00<00:00, 134881.12it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135018.71it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1999524.24it/s]
Sample 149 completed
Generating sample 150/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13296/17071 [00:00<00:00, 132954.10it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133203.41it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2033771.62it/s]
Sample 150 completed
Generating sample 151/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13705/17071 [00:00<00:00, 137036.41it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136904.33it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2031060.15it/s]
Sample 151 completed
Generating sample 152/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13707/17071 [00:00<00:00, 137060.33it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137538.37it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2019545.43it/s]
Sample 152 completed
Generating sample 153/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13555/17071 [00:00<00:00, 135544.64it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135433.46it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2098873.29it/s]
Sample 153 completed
Generating sample 154/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13304/17071 [00:00<00:00, 133031.56it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 132888.45it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2117745.15it/s]
Sample 154 completed
Generating sample 155/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13250/17071 [00:00<00:00, 132488.75it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 132321.65it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1995511.93it/s]
Sample 155 completed
Generating sample 156/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13488/17071 [00:00<00:00, 134870.48it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134831.58it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2032213.08it/s]
Sample 156 completed
Generating sample 157/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13484/17071 [00:00<00:00, 134829.84it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134594.35it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2065154.27it/s]
Sample 157 completed
Generating sample 158/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  68%|██████▊   | 11537/17071 [00:00<00:00, 115365.43it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 115757.27it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2024627.84it/s]
Sample 158 completed
Generating sample 159/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13512/17071 [00:00<00:00, 135106.92it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135026.35it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2038577.67it/s]
Sample 159 completed
Generating sample 160/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13305/17071 [00:00<00:00, 133047.27it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 132797.75it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2011771.62it/s]
Sample 160 completed
Generating sample 161/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13464/17071 [00:00<00:00, 134630.50it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135101.26it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1973402.52it/s]
Sample 161 completed
Generating sample 162/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13251/17071 [00:00<00:00, 132500.33it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 132417.82it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2082694.77it/s]
Sample 162 completed
Generating sample 163/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  25%|██▌       | 4339/17071 [00:00<00:01, 8949.81it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 29434.86it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2004281.82it/s]
Sample 163 completed
Generating sample 164/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13538/17071 [00:00<00:00, 135369.80it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135259.75it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2010303.05it/s]
Sample 164 completed
Generating sample 165/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13379/17071 [00:00<00:00, 133779.60it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133786.56it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2006809.71it/s]
Sample 165 completed
Generating sample 166/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13472/17071 [00:00<00:00, 134714.67it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134749.37it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2131107.91it/s]
Sample 166 completed
Generating sample 167/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13292/17071 [00:00<00:00, 132910.62it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 132730.55it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2068136.78it/s]
Sample 167 completed
Generating sample 168/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13369/17071 [00:00<00:00, 133681.52it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133863.10it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1258342.80it/s]
Sample 168 completed
Generating sample 169/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  75%|███████▌  | 12812/17071 [00:00<00:00, 128115.85it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 124815.37it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2095004.35it/s]
Sample 169 completed
Generating sample 170/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13680/17071 [00:00<00:00, 136796.22it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137066.29it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2017212.67it/s]
Sample 170 completed
Generating sample 171/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13530/17071 [00:00<00:00, 135296.90it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135119.61it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2124909.89it/s]
Sample 171 completed
Generating sample 172/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13315/17071 [00:00<00:00, 133142.51it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133345.81it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2048785.73it/s]
Sample 172 completed
Generating sample 173/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13565/17071 [00:00<00:00, 135646.57it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135407.85it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2011206.53it/s]
Sample 173 completed
Generating sample 174/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13391/17071 [00:00<00:00, 133905.66it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134097.76it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2044339.98it/s]
Sample 174 completed
Generating sample 175/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13714/17071 [00:00<00:00, 137136.86it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137175.79it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2063963.67it/s]
Sample 175 completed
Generating sample 176/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13640/17071 [00:00<00:00, 136395.25it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136235.39it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2011319.52it/s]
Sample 176 completed
Generating sample 177/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13678/17071 [00:00<00:00, 136775.24it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136567.22it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2022968.97it/s]
Sample 177 completed
Generating sample 178/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13750/17071 [00:00<00:00, 137493.57it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137508.00it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2075450.41it/s]
Sample 178 completed
Generating sample 179/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13751/17071 [00:00<00:00, 137501.94it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 29625.93it/s] 

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1952895.58it/s]
Sample 179 completed
Generating sample 180/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13472/17071 [00:00<00:00, 134714.99it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134783.61it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2091577.24it/s]
Sample 180 completed
Generating sample 181/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13777/17071 [00:00<00:00, 137762.91it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137611.86it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2051427.20it/s]
Sample 181 completed
Generating sample 182/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13805/17071 [00:00<00:00, 138044.87it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137777.62it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1982856.93it/s]
Sample 182 completed
Generating sample 183/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13660/17071 [00:00<00:00, 136591.34it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136704.37it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2105353.39it/s]
Sample 183 completed
Generating sample 184/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  69%|██████▉   | 11741/17071 [00:00<00:00, 117407.31it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 122588.02it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2072086.92it/s]
Sample 184 completed
Generating sample 185/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13734/17071 [00:00<00:00, 137336.53it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137315.22it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2073707.24it/s]
Sample 185 completed
Generating sample 186/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13455/17071 [00:00<00:00, 134536.98it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 130965.55it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2021940.69it/s]
Sample 186 completed
Generating sample 187/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13715/17071 [00:00<00:00, 137146.86it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137107.76it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1967329.68it/s]
Sample 187 completed
Generating sample 188/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13656/17071 [00:00<00:00, 136553.62it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137177.37it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1966951.36it/s]
Sample 188 completed
Generating sample 189/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13676/17071 [00:00<00:00, 136754.91it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136736.48it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2142650.85it/s]
Sample 189 completed
Generating sample 190/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13462/17071 [00:00<00:00, 134615.96it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134607.76it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2089745.89it/s]
Sample 190 completed
Generating sample 191/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13683/17071 [00:00<00:00, 136822.63it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136704.89it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2108080.78it/s]
Sample 191 completed
Generating sample 192/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13696/17071 [00:00<00:00, 136950.34it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136942.03it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2032443.83it/s]
Sample 192 completed
Generating sample 193/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13383/17071 [00:00<00:00, 133819.60it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133906.66it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2094085.27it/s]
Sample 193 completed
Generating sample 194/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13612/17071 [00:00<00:00, 136109.42it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136022.91it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2036374.49it/s]
Sample 194 completed
Generating sample 195/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13337/17071 [00:00<00:00, 133361.86it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133364.43it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2027035.18it/s]
Sample 195 completed
Generating sample 196/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  38%|███▊      | 6450/17071 [00:00<00:00, 12800.90it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 29191.45it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1879487.70it/s]
Sample 196 completed
Generating sample 197/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  68%|██████▊   | 11562/17071 [00:00<00:00, 115614.05it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 120757.46it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1997683.26it/s]
Sample 197 completed
Generating sample 198/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  74%|███████▍  | 12657/17071 [00:00<00:00, 126564.69it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 121800.38it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2102633.06it/s]
Sample 198 completed
Generating sample 199/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  77%|███████▋  | 13178/17071 [00:00<00:00, 131770.39it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 131915.50it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2022626.09it/s]
Sample 199 completed
Generating sample 200/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13366/17071 [00:00<00:00, 133647.06it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133613.30it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2007316.05it/s]
Sample 200 completed
Generating sample 201/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13539/17071 [00:00<00:00, 135380.45it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135799.24it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2063309.42it/s]
Sample 201 completed
Generating sample 202/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13656/17071 [00:00<00:00, 136557.20it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136416.57it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2155616.68it/s]
Sample 202 completed
Generating sample 203/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13467/17071 [00:00<00:00, 134663.71it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134373.33it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2056848.80it/s]
Sample 203 completed
Generating sample 204/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  77%|███████▋  | 13194/17071 [00:00<00:00, 131933.21it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 131552.67it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2083603.88it/s]
Sample 204 completed
Generating sample 205/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  74%|███████▍  | 12672/17071 [00:00<00:00, 126717.10it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 127344.03it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2001200.80it/s]
Sample 205 completed
Generating sample 206/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13382/17071 [00:00<00:00, 133815.34it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133726.10it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1966141.19it/s]
Sample 206 completed
Generating sample 207/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▊  | 13415/17071 [00:00<00:00, 134147.25it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133897.65it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1986653.08it/s]
Sample 207 completed
Generating sample 208/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13591/17071 [00:00<00:00, 135903.65it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136374.22it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2130220.27it/s]
Sample 208 completed
Generating sample 209/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13472/17071 [00:00<00:00, 134714.35it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135052.58it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2021027.54it/s]
Sample 209 completed
Generating sample 210/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  77%|███████▋  | 13108/17071 [00:00<00:00, 131071.69it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 131038.18it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2073046.80it/s]
Sample 210 completed
Generating sample 211/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13237/17071 [00:00<00:00, 132365.08it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 132482.50it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2092371.82it/s]
Sample 211 completed
Generating sample 212/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13291/17071 [00:00<00:00, 132898.09it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 132935.58it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2060459.38it/s]
Sample 212 completed
Generating sample 213/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  21%|██▏       | 3662/17071 [00:00<00:01, 7908.66it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 30442.79it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2002096.12it/s]
Sample 213 completed
Generating sample 214/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  70%|██████▉   | 11871/17071 [00:00<00:00, 118706.43it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 119090.01it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1978473.71it/s]
Sample 214 completed
Generating sample 215/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13542/17071 [00:00<00:00, 135413.67it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135740.80it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1964361.14it/s]
Sample 215 completed
Generating sample 216/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  76%|███████▌  | 12910/17071 [00:00<00:00, 129094.89it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 130229.51it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2061586.58it/s]
Sample 216 completed
Generating sample 217/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13636/17071 [00:00<00:00, 136352.33it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136385.65it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2014998.69it/s]
Sample 217 completed
Generating sample 218/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13767/17071 [00:00<00:00, 137660.29it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137450.98it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1999412.57it/s]
Sample 218 completed
Generating sample 219/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13563/17071 [00:00<00:00, 135626.25it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135951.11it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2083664.51it/s]
Sample 219 completed
Generating sample 220/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  77%|███████▋  | 13141/17071 [00:00<00:00, 131399.16it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 131370.92it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2246234.27it/s]
Sample 220 completed
Generating sample 221/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13489/17071 [00:00<00:00, 134882.09it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134939.32it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2051015.86it/s]
Sample 221 completed
Generating sample 222/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  76%|███████▋  | 13036/17071 [00:00<00:00, 130354.22it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 130687.31it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2015906.40it/s]
Sample 222 completed
Generating sample 223/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13487/17071 [00:00<00:00, 134862.09it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134835.14it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2004225.71it/s]
Sample 223 completed
Generating sample 224/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  67%|██████▋   | 11455/17071 [00:00<00:00, 114540.01it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 119155.21it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2001144.87it/s]
Sample 224 completed
Generating sample 225/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13399/17071 [00:00<00:00, 133981.50it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133831.33it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2038577.67it/s]
Sample 225 completed
Generating sample 226/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13256/17071 [00:00<00:00, 132554.75it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 128639.43it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2021369.87it/s]
Sample 226 completed
Generating sample 227/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13334/17071 [00:00<00:00, 133336.31it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133329.91it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2055903.86it/s]
Sample 227 completed
Generating sample 228/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▊  | 13433/17071 [00:00<00:00, 134322.44it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134259.19it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1938304.37it/s]
Sample 228 completed
Generating sample 229/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13335/17071 [00:00<00:00, 133090.88it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133519.37it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2051250.89it/s]
Sample 229 completed
Generating sample 230/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):   5%|▌         | 897/17071 [00:00<00:08, 1973.32it/s]
Calculating metrics (sequential):  83%|████████▎ | 14168/17071 [00:00<00:00, 33234.98it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 29639.25it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1912469.98it/s]
Sample 230 completed
Generating sample 231/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13358/17071 [00:00<00:00, 133568.34it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133730.84it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2016360.56it/s]
Sample 231 completed
Generating sample 232/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  77%|███████▋  | 13229/17071 [00:00<00:00, 132281.61it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 132481.52it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2038287.51it/s]
Sample 232 completed
Generating sample 233/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13509/17071 [00:00<00:00, 135085.94it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134603.96it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1988308.12it/s]
Sample 233 completed
Generating sample 234/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▊  | 13434/17071 [00:00<00:00, 134330.20it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134626.24it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2074247.91it/s]
Sample 234 completed
Generating sample 235/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  69%|██████▉   | 11777/17071 [00:00<00:00, 117757.76it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 122387.91it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2054488.07it/s]
Sample 235 completed
Generating sample 236/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13330/17071 [00:00<00:00, 133287.42it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 129888.37it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2038461.60it/s]
Sample 236 completed
Generating sample 237/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13334/17071 [00:00<00:00, 133335.36it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133117.23it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2023197.61it/s]
Sample 237 completed
Generating sample 238/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13654/17071 [00:00<00:00, 136536.87it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136677.49it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2033713.85it/s]
Sample 238 completed
Generating sample 239/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13564/17071 [00:00<00:00, 135629.78it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135696.55it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2052721.07it/s]
Sample 239 completed
Generating sample 240/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13526/17071 [00:00<00:00, 135254.32it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135364.59it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2048082.48it/s]
Sample 240 completed
Generating sample 241/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13537/17071 [00:00<00:00, 135367.22it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135200.24it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2077075.99it/s]
Sample 241 completed
Generating sample 242/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  76%|███████▋  | 13058/17071 [00:00<00:00, 130569.54it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 130763.21it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2082937.12it/s]
Sample 242 completed
Generating sample 243/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13568/17071 [00:00<00:00, 135674.31it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135566.29it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2059985.14it/s]
Sample 243 completed
Generating sample 244/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13491/17071 [00:00<00:00, 134905.63it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135263.32it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2070529.01it/s]
Sample 244 completed
Generating sample 245/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13599/17071 [00:00<00:00, 135980.73it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135950.59it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2026920.41it/s]
Sample 245 completed
Generating sample 246/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  62%|██████▏   | 10542/17071 [00:00<00:00, 19901.01it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 29512.27it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1998519.65it/s]
Sample 246 completed
Generating sample 247/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13330/17071 [00:00<00:00, 133289.64it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 129764.55it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2030426.60it/s]
Sample 247 completed
Generating sample 248/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13531/17071 [00:00<00:00, 135300.13it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135222.96it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2043873.13it/s]
Sample 248 completed
Generating sample 249/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13648/17071 [00:00<00:00, 136475.57it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136330.07it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1965925.25it/s]
Sample 249 completed
Generating sample 250/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13319/17071 [00:00<00:00, 133180.60it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133508.17it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2021598.16it/s]
Sample 250 completed
Generating sample 251/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13238/17071 [00:00<00:00, 132376.97it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 132603.71it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2144576.14it/s]
Sample 251 completed
Generating sample 252/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13263/17071 [00:00<00:00, 132620.96it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133084.08it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2028528.31it/s]
Sample 252 completed
Generating sample 253/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13352/17071 [00:00<00:00, 133512.49it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133552.49it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2105724.89it/s]
Sample 253 completed
Generating sample 254/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13591/17071 [00:00<00:00, 135903.00it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135882.22it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2049313.48it/s]
Sample 254 completed
Generating sample 255/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13354/17071 [00:00<00:00, 133530.26it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133489.75it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1950076.63it/s]
Sample 255 completed
Generating sample 256/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13349/17071 [00:00<00:00, 133400.12it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133700.63it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1931402.77it/s]
Sample 256 completed
Generating sample 257/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  76%|███████▌  | 12960/17071 [00:00<00:00, 129303.86it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 130314.36it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2003889.16it/s]
Sample 257 completed
Generating sample 258/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13460/17071 [00:00<00:00, 134587.93it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134411.42it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2108391.15it/s]
Sample 258 completed
Generating sample 259/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13396/17071 [00:00<00:00, 133948.31it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133900.65it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2104239.68it/s]
Sample 259 completed
Generating sample 260/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13710/17071 [00:00<00:00, 137093.92it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137144.53it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2069152.80it/s]
Sample 260 completed
Generating sample 261/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13306/17071 [00:00<00:00, 133046.80it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 132866.51it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2033713.85it/s]
Sample 261 completed
Generating sample 262/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  67%|██████▋   | 11427/17071 [00:00<00:00, 114267.38it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 119331.36it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2087004.88it/s]
Sample 262 completed
Generating sample 263/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  42%|████▏     | 7098/17071 [00:00<00:00, 14554.13it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 30415.47it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2015168.83it/s]
Sample 263 completed
Generating sample 264/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13320/17071 [00:00<00:00, 133190.92it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 129545.50it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2067659.00it/s]
Sample 264 completed
Generating sample 265/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  77%|███████▋  | 13060/17071 [00:00<00:00, 130590.47it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 130859.04it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2100412.55it/s]
Sample 265 completed
Generating sample 266/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13518/17071 [00:00<00:00, 135175.94it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135283.77it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2025544.25it/s]
Sample 266 completed
Generating sample 267/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13356/17071 [00:00<00:00, 133552.17it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133727.59it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2096599.33it/s]
Sample 267 completed
Generating sample 268/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13671/17071 [00:00<00:00, 136706.55it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137279.68it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2058208.68it/s]
Sample 268 completed
Generating sample 269/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13658/17071 [00:00<00:00, 136569.39it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136484.70it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2079066.28it/s]
Sample 269 completed
Generating sample 270/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13365/17071 [00:00<00:00, 133642.80it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133746.33it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2081846.99it/s]
Sample 270 completed
Generating sample 271/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13723/17071 [00:00<00:00, 137224.90it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137003.61it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2050134.96it/s]
Sample 271 completed
Generating sample 272/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13534/17071 [00:00<00:00, 135331.09it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135172.67it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2049548.12it/s]
Sample 272 completed
Generating sample 273/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  68%|██████▊   | 11693/17071 [00:00<00:00, 116916.73it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 121547.30it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2019716.33it/s]
Sample 273 completed
Generating sample 274/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13462/17071 [00:00<00:00, 134614.99it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 130795.93it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1951298.95it/s]
Sample 274 completed
Generating sample 275/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13323/17071 [00:00<00:00, 133219.01it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 132927.19it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1936888.67it/s]
Sample 275 completed
Generating sample 276/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13656/17071 [00:00<00:00, 136549.71it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136897.26it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2028758.21it/s]
Sample 276 completed
Generating sample 277/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13656/17071 [00:00<00:00, 136552.64it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136726.30it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1963283.89it/s]
Sample 277 completed
Generating sample 278/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13610/17071 [00:00<00:00, 136091.37it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136112.12it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2200195.54it/s]
Sample 278 completed
Generating sample 279/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▊  | 13442/17071 [00:00<00:00, 134407.63it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134521.27it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2123397.50it/s]
Sample 279 completed
Generating sample 280/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  23%|██▎       | 3990/17071 [00:00<00:01, 8080.09it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 28916.32it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2011715.09it/s]
Sample 280 completed
Generating sample 281/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▊  | 13425/17071 [00:00<00:00, 134240.21it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134284.12it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1948802.80it/s]
Sample 281 completed
Generating sample 282/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13273/17071 [00:00<00:00, 132722.53it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 132817.46it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1858606.68it/s]
Sample 282 completed
Generating sample 283/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▊  | 13440/17071 [00:00<00:00, 134387.95it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134336.52it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2048961.61it/s]
Sample 283 completed
Generating sample 284/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13600/17071 [00:00<00:00, 135996.24it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135758.81it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2052603.38it/s]
Sample 284 completed
Generating sample 285/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13626/17071 [00:00<00:00, 136246.81it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136041.00it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2061467.87it/s]
Sample 285 completed
Generating sample 286/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13595/17071 [00:00<00:00, 135942.03it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135804.65it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2035737.62it/s]
Sample 286 completed
Generating sample 287/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13625/17071 [00:00<00:00, 136239.74it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136771.22it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1974109.83it/s]
Sample 287 completed
Generating sample 288/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13645/17071 [00:00<00:00, 136446.23it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136464.93it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2130664.00it/s]
Sample 288 completed
Generating sample 289/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13635/17071 [00:00<00:00, 136343.30it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136360.19it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2188293.51it/s]
Sample 289 completed
Generating sample 290/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13523/17071 [00:00<00:00, 135222.07it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135304.22it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1996680.52it/s]
Sample 290 completed
Generating sample 291/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13531/17071 [00:00<00:00, 135305.94it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135247.23it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1992513.25it/s]
Sample 291 completed
Generating sample 292/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  68%|██████▊   | 11656/17071 [00:00<00:00, 116549.55it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 121298.56it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1978801.78it/s]
Sample 292 completed
Generating sample 293/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  77%|███████▋  | 13151/17071 [00:00<00:00, 131496.33it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 127552.74it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2018463.72it/s]
Sample 293 completed
Generating sample 294/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13632/17071 [00:00<00:00, 136311.03it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136233.84it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2007766.35it/s]
Sample 294 completed
Generating sample 295/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13591/17071 [00:00<00:00, 135898.47it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135835.56it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1974055.40it/s]
Sample 295 completed
Generating sample 296/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13639/17071 [00:00<00:00, 136380.05it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 30434.46it/s] 

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1978419.04it/s]
Sample 296 completed
Generating sample 297/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13513/17071 [00:00<00:00, 135126.26it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133442.23it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2085424.47it/s]
Sample 297 completed
Generating sample 298/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13526/17071 [00:00<00:00, 135253.36it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135441.41it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2063844.68it/s]
Sample 298 completed
Generating sample 299/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  74%|███████▍  | 12682/17071 [00:00<00:00, 126806.21it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 127165.13it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1993178.84it/s]
Sample 299 completed
Generating sample 300/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13503/17071 [00:00<00:00, 135020.15it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135126.50it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2034696.32it/s]
Sample 300 completed
Generating sample 301/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13553/17071 [00:00<00:00, 135519.79it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135497.02it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2047672.48it/s]
Sample 301 completed
Generating sample 302/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13654/17071 [00:00<00:00, 136528.74it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136524.51it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2002208.09it/s]
Sample 302 completed
Generating sample 303/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  69%|██████▉   | 11789/17071 [00:00<00:00, 117886.18it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 118356.72it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2048844.35it/s]
Sample 303 completed
Generating sample 304/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13785/17071 [00:00<00:00, 137846.84it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137839.16it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1978364.38it/s]
Sample 304 completed
Generating sample 305/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13621/17071 [00:00<00:00, 136200.39it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136632.37it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1935684.34it/s]
Sample 305 completed
Generating sample 306/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13708/17071 [00:00<00:00, 137074.25it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137404.55it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1937832.24it/s]
Sample 306 completed
Generating sample 307/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13505/17071 [00:00<00:00, 135044.33it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134933.22it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2028240.99it/s]
Sample 307 completed
Generating sample 308/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13615/17071 [00:00<00:00, 136144.61it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136133.08it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2037185.64it/s]
Sample 308 completed
Generating sample 309/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13398/17071 [00:00<00:00, 133969.91it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134091.99it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2012506.71it/s]
Sample 309 completed
Generating sample 310/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13601/17071 [00:00<00:00, 136001.70it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136092.72it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2041018.32it/s]
Sample 310 completed
Generating sample 311/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  77%|███████▋  | 13228/17071 [00:00<00:00, 132266.57it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 132247.35it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2142458.52it/s]
Sample 311 completed
Generating sample 312/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▊  | 13426/17071 [00:00<00:00, 134252.13it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134108.56it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1931298.58it/s]
Sample 312 completed
Generating sample 313/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  40%|███▉      | 6758/17071 [00:00<00:00, 13232.03it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 28974.38it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1732127.72it/s]
Sample 313 completed
Generating sample 314/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13612/17071 [00:00<00:00, 136115.59it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136405.39it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1963445.40it/s]
Sample 314 completed
Generating sample 315/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  76%|███████▌  | 12968/17071 [00:00<00:00, 129675.18it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 129816.54it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2076835.00it/s]
Sample 315 completed
Generating sample 316/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▊  | 13429/17071 [00:00<00:00, 134277.64it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134532.90it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2035332.54it/s]
Sample 316 completed
Generating sample 317/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13519/17071 [00:00<00:00, 135186.26it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135392.74it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2004337.92it/s]
Sample 317 completed
Generating sample 318/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13566/17071 [00:00<00:00, 135650.43it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135129.56it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2122264.62it/s]
Sample 318 completed
Generating sample 319/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13580/17071 [00:00<00:00, 135784.59it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135621.76it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2067420.19it/s]
Sample 319 completed
Generating sample 320/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13714/17071 [00:00<00:00, 137132.28it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136921.61it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2150308.23it/s]
Sample 320 completed
Generating sample 321/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  69%|██████▉   | 11790/17071 [00:00<00:00, 117889.43it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 122739.11it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2080213.93it/s]
Sample 321 completed
Generating sample 322/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13372/17071 [00:00<00:00, 133709.61it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 130213.64it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2062239.73it/s]
Sample 322 completed
Generating sample 323/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13659/17071 [00:00<00:00, 136581.01it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136015.42it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2062239.73it/s]
Sample 323 completed
Generating sample 324/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13683/17071 [00:00<00:00, 136826.54it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136568.52it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2006134.98it/s]
Sample 324 completed
Generating sample 325/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13498/17071 [00:00<00:00, 134969.83it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135138.48it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1956363.93it/s]
Sample 325 completed
Generating sample 326/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13399/17071 [00:00<00:00, 133980.23it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134348.62it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1911601.98it/s]
Sample 326 completed
Generating sample 327/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13383/17071 [00:00<00:00, 133821.83it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134066.63it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2133457.39it/s]
Sample 327 completed
Generating sample 328/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13762/17071 [00:00<00:00, 137605.04it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137225.75it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2201683.95it/s]
Sample 328 completed
Generating sample 329/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13336/17071 [00:00<00:00, 133353.13it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133294.67it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2112870.74it/s]
Sample 329 completed
Generating sample 330/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  21%|██▏       | 3654/17071 [00:00<00:01, 7943.26it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 30541.33it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1979348.80it/s]
Sample 330 completed
Generating sample 331/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13600/17071 [00:00<00:00, 135991.05it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135910.85it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1954494.83it/s]
Sample 331 completed
Generating sample 332/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  70%|██████▉   | 11944/17071 [00:00<00:00, 119429.01it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 124106.42it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2034465.07it/s]
Sample 332 completed
Generating sample 333/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13365/17071 [00:00<00:00, 133641.52it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 130094.63it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2169200.30it/s]
Sample 333 completed
Generating sample 334/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13718/17071 [00:00<00:00, 137170.32it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136718.46it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1995623.17it/s]
Sample 334 completed
Generating sample 335/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▊  | 13438/17071 [00:00<00:00, 134373.72it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134253.15it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1969060.96it/s]
Sample 335 completed
Generating sample 336/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13685/17071 [00:00<00:00, 136841.97it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137092.27it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1996736.21it/s]
Sample 336 completed
Generating sample 337/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13587/17071 [00:00<00:00, 135867.21it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135658.50it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2080637.07it/s]
Sample 337 completed
Generating sample 338/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13602/17071 [00:00<00:00, 136013.32it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135830.93it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2124153.42it/s]
Sample 338 completed
Generating sample 339/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13695/17071 [00:00<00:00, 136936.42it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136770.43it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2073827.36it/s]
Sample 339 completed
Generating sample 340/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  77%|███████▋  | 13198/17071 [00:00<00:00, 131975.41it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 131999.65it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2074067.65it/s]
Sample 340 completed
Generating sample 341/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13560/17071 [00:00<00:00, 135587.85it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135387.62it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2044398.35it/s]
Sample 341 completed
Generating sample 342/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13467/17071 [00:00<00:00, 134666.28it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134578.66it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2023026.12it/s]
Sample 342 completed
Generating sample 343/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13662/17071 [00:00<00:00, 136095.77it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136445.16it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2050134.96it/s]
Sample 343 completed
Generating sample 344/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13639/17071 [00:00<00:00, 136379.07it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136804.14it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1931454.87it/s]
Sample 344 completed
Generating sample 345/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  69%|██████▉   | 11824/17071 [00:00<00:00, 118229.68it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 122620.77it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1991515.69it/s]
Sample 345 completed
Generating sample 346/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13553/17071 [00:00<00:00, 135520.76it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 131975.80it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2154578.83it/s]
Sample 346 completed
Generating sample 347/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  25%|██▌       | 4353/17071 [00:00<00:01, 9379.39it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 30404.48it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2101892.37it/s]
Sample 347 completed
Generating sample 348/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13562/17071 [00:00<00:00, 135612.69it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135392.49it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2099304.06it/s]
Sample 348 completed
Generating sample 349/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13669/17071 [00:00<00:00, 136677.75it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136367.98it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2036606.18it/s]
Sample 349 completed
Generating sample 350/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13612/17071 [00:00<00:00, 136117.21it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136515.66it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2064856.49it/s]
Sample 350 completed
Generating sample 351/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13694/17071 [00:00<00:00, 136932.30it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136655.58it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2075390.25it/s]
Sample 351 completed
Generating sample 352/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13469/17071 [00:00<00:00, 134685.31it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134713.37it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1994955.94it/s]
Sample 352 completed
Generating sample 353/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13549/17071 [00:00<00:00, 135476.24it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135308.82it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2080274.37it/s]
Sample 353 completed
Generating sample 354/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13452/17071 [00:00<00:00, 134510.19it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134620.16it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2020172.21it/s]
Sample 354 completed
Generating sample 355/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13664/17071 [00:00<00:00, 136637.20it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137008.33it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1981210.95it/s]
Sample 355 completed
Generating sample 356/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13682/17071 [00:00<00:00, 136810.67it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136773.31it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2079851.38it/s]
Sample 356 completed
Generating sample 357/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13636/17071 [00:00<00:00, 136353.95it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136279.73it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2092127.27it/s]
Sample 357 completed
Generating sample 358/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13565/17071 [00:00<00:00, 135646.90it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135616.10it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2103806.89it/s]
Sample 358 completed
Generating sample 359/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  69%|██████▉   | 11813/17071 [00:00<00:00, 118119.97it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 118547.59it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2075931.80it/s]
Sample 359 completed
Generating sample 360/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13551/17071 [00:00<00:00, 135504.64it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135553.97it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2018236.14it/s]
Sample 360 completed
Generating sample 361/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13674/17071 [00:00<00:00, 136733.61it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136688.97it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2084392.41it/s]
Sample 361 completed
Generating sample 362/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13660/17071 [00:00<00:00, 136589.06it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136586.24it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1995901.31it/s]
Sample 362 completed
Generating sample 363/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13697/17071 [00:00<00:00, 136586.52it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136994.44it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2071967.00it/s]
Sample 363 completed
Generating sample 364/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):   7%|▋         | 1237/17071 [00:00<00:05, 2815.81it/s]
Calculating metrics (sequential):  85%|████████▍ | 14485/17071 [00:00<00:00, 34633.55it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 30565.63it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2067778.43it/s]
Sample 364 completed
Generating sample 365/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13318/17071 [00:00<00:00, 133169.65it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133305.84it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2155746.48it/s]
Sample 365 completed
Generating sample 366/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13298/17071 [00:00<00:00, 132968.40it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133307.57it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2134284.12it/s]
Sample 366 completed
Generating sample 367/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  76%|███████▌  | 12998/17071 [00:00<00:00, 129975.48it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 129962.63it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2027781.47it/s]
Sample 367 completed
Generating sample 368/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  76%|███████▌  | 12975/17071 [00:00<00:00, 129742.70it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 129890.25it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2136385.61it/s]
Sample 368 completed
Generating sample 369/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13282/17071 [00:00<00:00, 132813.48it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133076.41it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2059570.36it/s]
Sample 369 completed
Generating sample 370/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  67%|██████▋   | 11474/17071 [00:00<00:00, 114729.99it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 115565.58it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1990408.46it/s]
Sample 370 completed
Generating sample 371/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▊  | 13410/17071 [00:00<00:00, 134091.50it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134194.27it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1981156.13it/s]
Sample 371 completed
Generating sample 372/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13341/17071 [00:00<00:00, 133400.90it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133469.59it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2037301.57it/s]
Sample 372 completed
Generating sample 373/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13469/17071 [00:00<00:00, 134682.10it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134634.59it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2108639.52it/s]
Sample 373 completed
Generating sample 374/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13468/17071 [00:00<00:00, 134673.06it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134981.04it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2032732.33it/s]
Sample 374 completed
Generating sample 375/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13372/17071 [00:00<00:00, 133708.33it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133657.45it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2132059.78it/s]
Sample 375 completed
Generating sample 376/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13303/17071 [00:00<00:00, 133023.47it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133110.30it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2086883.23it/s]
Sample 376 completed
Generating sample 377/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  75%|███████▌  | 12807/17071 [00:00<00:00, 128066.76it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 128137.10it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2105291.49it/s]
Sample 377 completed
Generating sample 378/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  77%|███████▋  | 13219/17071 [00:00<00:00, 132181.62it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 132765.74it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2033078.64it/s]
Sample 378 completed
Generating sample 379/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13376/17071 [00:00<00:00, 133753.43it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133559.72it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2067957.59it/s]
Sample 379 completed
Generating sample 380/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  42%|████▏     | 7121/17071 [00:00<00:00, 14311.05it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 29929.00it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1983406.19it/s]
Sample 380 completed
Generating sample 381/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  68%|██████▊   | 11556/17071 [00:00<00:00, 115549.37it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 114534.05it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2032559.22it/s]
Sample 381 completed
Generating sample 382/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13827/17071 [00:00<00:00, 138261.56it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137601.81it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2128257.40it/s]
Sample 382 completed
Generating sample 383/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13537/17071 [00:00<00:00, 135361.42it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135185.94it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2041774.94it/s]
Sample 383 completed
Generating sample 384/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13377/17071 [00:00<00:00, 133758.65it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133974.06it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2071967.00it/s]
Sample 384 completed
Generating sample 385/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  77%|███████▋  | 13207/17071 [00:00<00:00, 132066.66it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 132006.22it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2131678.93it/s]
Sample 385 completed
Generating sample 386/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13531/17071 [00:00<00:00, 135304.64it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135605.83it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2057085.17it/s]
Sample 386 completed
Generating sample 387/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13644/17071 [00:00<00:00, 136433.95it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136315.54it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2095617.51it/s]
Sample 387 completed
Generating sample 388/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13320/17071 [00:00<00:00, 133186.47it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134015.69it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2102324.38it/s]
Sample 388 completed
Generating sample 389/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13593/17071 [00:00<00:00, 135924.30it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135165.02it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2100289.33it/s]
Sample 389 completed
Generating sample 390/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13459/17071 [00:00<00:00, 134576.97it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134749.88it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1987204.45it/s]
Sample 390 completed
Generating sample 391/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  77%|███████▋  | 13105/17071 [00:00<00:00, 131045.44it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 130788.29it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2034696.32it/s]
Sample 391 completed
Generating sample 392/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13510/17071 [00:00<00:00, 135094.65it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135037.81it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1978364.38it/s]
Sample 392 completed
Generating sample 393/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13589/17071 [00:00<00:00, 135882.03it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135766.02it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2038461.60it/s]
Sample 393 completed
Generating sample 394/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13685/17071 [00:00<00:00, 136842.63it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137271.52it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2068077.05it/s]
Sample 394 completed
Generating sample 395/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  76%|███████▌  | 12973/17071 [00:00<00:00, 129718.06it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 130164.16it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2027781.47it/s]
Sample 395 completed
Generating sample 396/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  77%|███████▋  | 13081/17071 [00:00<00:00, 130807.01it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 129590.28it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2105848.76it/s]
Sample 396 completed
Generating sample 397/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  50%|████▉     | 8533/17071 [00:00<00:00, 17573.37it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 31057.38it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2006809.71it/s]
Sample 397 completed
Generating sample 398/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13609/17071 [00:00<00:00, 136082.67it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135982.87it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2025028.67it/s]
Sample 398 completed
Generating sample 399/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  68%|██████▊   | 11608/17071 [00:00<00:00, 116072.64it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 120912.04it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1958986.69it/s]
Sample 399 completed
Generating sample 400/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13367/17071 [00:00<00:00, 133658.66it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 130292.31it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2081907.52it/s]
Sample 400 completed
Generating sample 401/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13575/17071 [00:00<00:00, 135743.01it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135652.59it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2070529.01it/s]
Sample 401 completed
Generating sample 402/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13752/17071 [00:00<00:00, 137513.57it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137401.13it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2034002.72it/s]
Sample 402 completed
Generating sample 403/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13544/17071 [00:00<00:00, 135430.44it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135543.19it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2044982.25it/s]
Sample 403 completed
Generating sample 404/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13549/17071 [00:00<00:00, 135484.96it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135426.80it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2055254.71it/s]
Sample 404 completed
Generating sample 405/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13316/17071 [00:00<00:00, 133157.27it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133785.06it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1962046.52it/s]
Sample 405 completed
Generating sample 406/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13660/17071 [00:00<00:00, 136587.76it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136312.17it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2063012.18it/s]
Sample 406 completed
Generating sample 407/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13525/17071 [00:00<00:00, 135237.55it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135265.37it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2049900.19it/s]
Sample 407 completed
Generating sample 408/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13366/17071 [00:00<00:00, 133654.39it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133719.60it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2055136.73it/s]
Sample 408 completed
Generating sample 409/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  76%|███████▌  | 12897/17071 [00:00<00:00, 128967.66it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 129129.40it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2080455.71it/s]
Sample 409 completed
Generating sample 410/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13678/17071 [00:00<00:00, 136769.37it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136535.45it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2066226.98it/s]
Sample 410 completed
Generating sample 411/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13657/17071 [00:00<00:00, 136558.73it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136831.60it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2124342.49it/s]
Sample 411 completed
Generating sample 412/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13776/17071 [00:00<00:00, 137754.55it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137524.37it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1976944.16it/s]
Sample 412 completed
Generating sample 413/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13710/17071 [00:00<00:00, 137093.59it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136976.09it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2065511.71it/s]
Sample 413 completed
Generating sample 414/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  34%|███▎      | 5747/17071 [00:00<00:00, 11787.64it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 29912.84it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2026002.76it/s]
Sample 414 completed
Generating sample 415/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13771/17071 [00:00<00:00, 137701.60it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137598.90it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2101090.54it/s]
Sample 415 completed
Generating sample 416/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13612/17071 [00:00<00:00, 136116.56it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136114.45it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2022683.23it/s]
Sample 416 completed
Generating sample 417/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13708/17071 [00:00<00:00, 137071.63it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136873.18it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2002656.10it/s]
Sample 417 completed
Generating sample 418/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13584/17071 [00:00<00:00, 135825.88it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136143.18it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2044223.25it/s]
Sample 418 completed
Generating sample 419/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13730/17071 [00:00<00:00, 137290.97it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137299.69it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2184821.30it/s]
Sample 419 completed
Generating sample 420/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13353/17071 [00:00<00:00, 133514.85it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133738.34it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2144640.38it/s]
Sample 420 completed
Generating sample 421/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████▏ | 13895/17071 [00:00<00:00, 138939.53it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138684.42it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2220735.80it/s]
Sample 421 completed
Generating sample 422/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13665/17071 [00:00<00:00, 136639.38it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136556.80it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2006022.57it/s]
Sample 422 completed
Generating sample 423/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13674/17071 [00:00<00:00, 136733.28it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136781.15it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2003664.85it/s]
Sample 423 completed
Generating sample 424/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13456/17071 [00:00<00:00, 134556.28it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135048.76it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1994400.26it/s]
Sample 424 completed
Generating sample 425/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13593/17071 [00:00<00:00, 135919.11it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136479.49it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2012393.58it/s]
Sample 425 completed
Generating sample 426/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13592/17071 [00:00<00:00, 135909.44it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135687.29it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2066584.80it/s]
Sample 426 completed
Generating sample 427/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13673/17071 [00:00<00:00, 136723.28it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136637.85it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2095556.18it/s]
Sample 427 completed
Generating sample 428/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13620/17071 [00:00<00:00, 136196.23it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136129.97it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2143933.99it/s]
Sample 428 completed
Generating sample 429/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13730/17071 [00:00<00:00, 137293.91it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137332.34it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2124846.83it/s]
Sample 429 completed
Generating sample 430/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  70%|██████▉   | 11870/17071 [00:00<00:00, 118695.87it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 30710.89it/s] 

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2011037.06it/s]
Sample 430 completed
Generating sample 431/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13528/17071 [00:00<00:00, 135267.87it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 131292.39it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1992014.34it/s]
Sample 431 completed
Generating sample 432/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▊  | 13406/17071 [00:00<00:00, 134055.65it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134409.91it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1938042.05it/s]
Sample 432 completed
Generating sample 433/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13680/17071 [00:00<00:00, 136794.26it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135909.56it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2094575.34it/s]
Sample 433 completed
Generating sample 434/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13604/17071 [00:00<00:00, 136037.21it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135621.50it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2036027.06it/s]
Sample 434 completed
Generating sample 435/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13483/17071 [00:00<00:00, 134819.52it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134547.05it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1916667.92it/s]
Sample 435 completed
Generating sample 436/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13600/17071 [00:00<00:00, 135812.32it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136258.47it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2052015.12it/s]
Sample 436 completed
Generating sample 437/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13453/17071 [00:00<00:00, 134519.54it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135056.15it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2028988.17it/s]
Sample 437 completed
Generating sample 438/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13496/17071 [00:00<00:00, 134952.73it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135163.23it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2099981.33it/s]
Sample 438 completed
Generating sample 439/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13467/17071 [00:00<00:00, 134667.24it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134963.74it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2117056.37it/s]
Sample 439 completed
Generating sample 440/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  77%|███████▋  | 13154/17071 [00:00<00:00, 131532.91it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 131728.38it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1832163.86it/s]
Sample 440 completed
Generating sample 441/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13651/17071 [00:00<00:00, 136499.72it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136240.06it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1974327.57it/s]
Sample 441 completed
Generating sample 442/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13544/17071 [00:00<00:00, 135433.99it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135399.40it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2049958.87it/s]
Sample 442 completed
Generating sample 443/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13464/17071 [00:00<00:00, 134624.72it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134752.16it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1989965.91it/s]
Sample 443 completed
Generating sample 444/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  67%|██████▋   | 11424/17071 [00:00<00:00, 114232.21it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 118917.14it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1981046.50it/s]
Sample 444 completed
Generating sample 445/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13556/17071 [00:00<00:00, 135556.25it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 132129.96it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2067479.89it/s]
Sample 445 completed
Generating sample 446/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13536/17071 [00:00<00:00, 135348.83it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135788.94it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2053839.81it/s]
Sample 446 completed
Generating sample 447/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13562/17071 [00:00<00:00, 135608.81it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136369.02it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2103992.35it/s]
Sample 447 completed
Generating sample 448/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  52%|█████▏    | 8839/17071 [00:00<00:00, 17872.19it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 30651.25it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2083118.92it/s]
Sample 448 completed
Generating sample 449/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13766/17071 [00:00<00:00, 137656.85it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137567.44it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2033598.33it/s]
Sample 449 completed
Generating sample 450/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13517/17071 [00:00<00:00, 135160.14it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135218.36it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2031117.77it/s]
Sample 450 completed
Generating sample 451/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13655/17071 [00:00<00:00, 136534.18it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136932.34it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1768842.20it/s]
Sample 451 completed
Generating sample 452/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13358/17071 [00:00<00:00, 133571.53it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133672.67it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2025658.86it/s]
Sample 452 completed
Generating sample 453/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13481/17071 [00:00<00:00, 134801.13it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134678.91it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1728948.97it/s]
Sample 453 completed
Generating sample 454/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13701/17071 [00:00<00:00, 137003.92it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136867.95it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2060577.98it/s]
Sample 454 completed
Generating sample 455/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13614/17071 [00:00<00:00, 136134.61it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136065.56it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2088770.49it/s]
Sample 455 completed
Generating sample 456/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13627/17071 [00:00<00:00, 136264.61it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136297.37it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2007259.78it/s]
Sample 456 completed
Generating sample 457/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13691/17071 [00:00<00:00, 136899.36it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136760.51it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2150179.09it/s]
Sample 457 completed
Generating sample 458/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13606/17071 [00:00<00:00, 136048.45it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135870.10it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2066644.45it/s]
Sample 458 completed
Generating sample 459/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13688/17071 [00:00<00:00, 136869.04it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136685.32it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2041774.94it/s]
Sample 459 completed
Generating sample 460/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13581/17071 [00:00<00:00, 135803.98it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135545.25it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2051603.54it/s]
Sample 460 completed
Generating sample 461/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13721/17071 [00:00<00:00, 137197.70it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136882.34it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1961509.02it/s]
Sample 461 completed
Generating sample 462/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  69%|██████▉   | 11741/17071 [00:00<00:00, 117407.31it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 117789.15it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1986873.59it/s]
Sample 462 completed
Generating sample 463/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13650/17071 [00:00<00:00, 136489.07it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136231.25it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2059748.10it/s]
Sample 463 completed
Generating sample 464/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13730/17071 [00:00<00:00, 137295.88it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136949.10it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2053191.97it/s]
Sample 464 completed
Generating sample 465/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  11%|█▏        | 1942/17071 [00:00<00:03, 4417.85it/s]
Calculating metrics (sequential):  90%|█████████ | 15426/17071 [00:00<00:00, 36406.55it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 30943.14it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2003608.79it/s]
Sample 465 completed
Generating sample 466/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13678/17071 [00:00<00:00, 136771.00it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136475.07it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2195271.14it/s]
Sample 466 completed
Generating sample 467/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13796/17071 [00:00<00:00, 137951.25it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137686.75it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2121258.62it/s]
Sample 467 completed
Generating sample 468/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13583/17071 [00:00<00:00, 135825.60it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135825.77it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1949227.22it/s]
Sample 468 completed
Generating sample 469/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13585/17071 [00:00<00:00, 135833.94it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135909.31it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2094330.28it/s]
Sample 469 completed
Generating sample 470/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  76%|███████▋  | 13018/17071 [00:00<00:00, 130168.95it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 130476.31it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2018179.25it/s]
Sample 470 completed
Generating sample 471/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13652/17071 [00:00<00:00, 136507.76it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136303.08it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1976780.42it/s]
Sample 471 completed
Generating sample 472/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13565/17071 [00:00<00:00, 135646.90it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135765.25it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2052132.74it/s]
Sample 472 completed
Generating sample 473/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13706/17071 [00:00<00:00, 137051.31it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136940.99it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2075991.99it/s]
Sample 473 completed
Generating sample 474/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  69%|██████▉   | 11797/17071 [00:00<00:00, 117965.05it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 122786.05it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2069332.20it/s]
Sample 474 completed
Generating sample 475/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13367/17071 [00:00<00:00, 133663.12it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 129925.84it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1963391.56it/s]
Sample 475 completed
Generating sample 476/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▊  | 13418/17071 [00:00<00:00, 134169.25it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134311.83it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2108577.42it/s]
Sample 476 completed
Generating sample 477/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13525/17071 [00:00<00:00, 135242.07it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135074.75it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2030138.75it/s]
Sample 477 completed
Generating sample 478/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13617/17071 [00:00<00:00, 136160.72it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136257.69it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2045858.72it/s]
Sample 478 completed
Generating sample 479/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13798/17071 [00:00<00:00, 137973.55it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137652.34it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2012280.47it/s]
Sample 479 completed
Generating sample 480/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▊  | 13431/17071 [00:00<00:00, 134299.24it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133873.86it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2012450.14it/s]
Sample 480 completed
Generating sample 481/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  42%|████▏     | 7109/17071 [00:00<00:00, 14699.98it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 30607.74it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2024341.63it/s]
Sample 481 completed
Generating sample 482/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13582/17071 [00:00<00:00, 135807.50it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135745.69it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2008780.26it/s]
Sample 482 completed
Generating sample 483/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13275/17071 [00:00<00:00, 132741.58it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133095.95it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2092738.75it/s]
Sample 483 completed
Generating sample 484/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13618/17071 [00:00<00:00, 136173.96it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136216.73it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1985551.25it/s]
Sample 484 completed
Generating sample 485/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13793/17071 [00:00<00:00, 137924.21it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138026.75it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2045917.18it/s]
Sample 485 completed
Generating sample 486/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13496/17071 [00:00<00:00, 134949.51it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135322.38it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1963014.77it/s]
Sample 486 completed
Generating sample 487/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13668/17071 [00:00<00:00, 136671.33it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136516.96it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2014148.46it/s]
Sample 487 completed
Generating sample 488/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13577/17071 [00:00<00:00, 135757.18it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135553.20it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1996791.89it/s]
Sample 488 completed
Generating sample 489/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13708/17071 [00:00<00:00, 137069.67it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136903.02it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2000809.36it/s]
Sample 489 completed
Generating sample 490/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13575/17071 [00:00<00:00, 135740.10it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135717.38it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2002768.13it/s]
Sample 490 completed
Generating sample 491/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13568/17071 [00:00<00:00, 135671.72it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135664.41it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2018008.61it/s]
Sample 491 completed
Generating sample 492/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  70%|██████▉   | 11868/17071 [00:00<00:00, 118673.89it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 119128.45it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2017212.67it/s]
Sample 492 completed
Generating sample 493/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13576/17071 [00:00<00:00, 135751.07it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136252.50it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2040029.73it/s]
Sample 493 completed
Generating sample 494/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13692/17071 [00:00<00:00, 136911.64it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137373.71it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1893153.63it/s]
Sample 494 completed
Generating sample 495/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13535/17071 [00:00<00:00, 135340.77it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135170.12it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2007372.33it/s]
Sample 495 completed
Generating sample 496/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13504/17071 [00:00<00:00, 135034.66it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135094.12it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2018634.44it/s]
Sample 496 completed
Generating sample 497/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13521/17071 [00:00<00:00, 135206.58it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135101.51it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2059037.31it/s]
Sample 497 completed
Generating sample 498/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  22%|██▏       | 3690/17071 [00:00<00:01, 8018.77it/s]
Calculating metrics (sequential):  98%|█████████▊| 16745/17071 [00:00<00:00, 37046.24it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 30332.89it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1998129.25it/s]
Sample 498 completed
Generating sample 499/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  77%|███████▋  | 13205/17071 [00:00<00:00, 132043.20it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 132260.79it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2012733.00it/s]
Sample 499 completed
Generating sample 500/500 (prompt_gen: full, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13385/17071 [00:00<00:00, 133843.43it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133964.29it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2024627.84it/s]
Sample 500 completed
Completed temperature 1.0
Running with temperature: 1.5
Generating sample 1/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13513/17071 [00:00<00:00, 135117.89it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135091.31it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2065511.71it/s]
Sample 1 completed
Generating sample 2/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13363/17071 [00:00<00:00, 133618.66it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133597.10it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2012959.34it/s]
Sample 2 completed
Generating sample 3/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  68%|██████▊   | 11581/17071 [00:00<00:00, 115802.10it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 120502.20it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1986708.20it/s]
Sample 3 completed
Generating sample 4/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13310/17071 [00:00<00:00, 133092.19it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133340.84it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2103497.86it/s]
Sample 4 completed
Generating sample 5/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13660/17071 [00:00<00:00, 136595.57it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 132256.14it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1825623.75it/s]
Sample 5 completed
Generating sample 6/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13365/17071 [00:00<00:00, 133640.25it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133522.11it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2120567.56it/s]
Sample 6 completed
Generating sample 7/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13526/17071 [00:00<00:00, 135247.88it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135286.32it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1995345.10it/s]
Sample 7 completed
Generating sample 8/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13659/17071 [00:00<00:00, 136583.62it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136436.58it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2044982.25it/s]
Sample 8 completed
Generating sample 9/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13630/17071 [00:00<00:00, 136290.71it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136205.07it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1973892.14it/s]
Sample 9 completed
Generating sample 10/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13616/17071 [00:00<00:00, 136153.64it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136156.38it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2023712.26it/s]
Sample 10 completed
Generating sample 11/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13708/17071 [00:00<00:00, 137070.33it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136916.11it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2057972.05it/s]
Sample 11 completed
Generating sample 12/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13670/17071 [00:00<00:00, 136691.66it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137009.38it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2039797.26it/s]
Sample 12 completed
Generating sample 13/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▊  | 13411/17071 [00:00<00:00, 134106.29it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134389.72it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1947689.56it/s]
Sample 13 completed
Generating sample 14/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13626/17071 [00:00<00:00, 136254.28it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136493.02it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2018349.92it/s]
Sample 14 completed
Generating sample 15/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  28%|██▊       | 4719/17071 [00:00<00:01, 10161.52it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 30691.00it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1934167.96it/s]
Sample 15 completed
Generating sample 16/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  69%|██████▉   | 11836/17071 [00:00<00:00, 118354.75it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 122934.88it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2039971.61it/s]
Sample 16 completed
Generating sample 17/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13571/17071 [00:00<00:00, 135696.54it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 131675.09it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1949651.83it/s]
Sample 17 completed
Generating sample 18/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13709/17071 [00:00<00:00, 137083.92it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137307.59it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1999021.82it/s]
Sample 18 completed
Generating sample 19/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13861/17071 [00:00<00:00, 138603.85it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138352.13it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2132313.76it/s]
Sample 19 completed
Generating sample 20/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13499/17071 [00:00<00:00, 134978.22it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135056.15it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2060103.68it/s]
Sample 20 completed
Generating sample 21/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13847/17071 [00:00<00:00, 138459.57it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138394.92it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1945836.99it/s]
Sample 21 completed
Generating sample 22/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13553/17071 [00:00<00:00, 135525.93it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135409.90it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2026174.76it/s]
Sample 22 completed
Generating sample 23/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13700/17071 [00:00<00:00, 136989.03it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137350.26it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2015509.18it/s]
Sample 23 completed
Generating sample 24/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  76%|███████▌  | 12959/17071 [00:00<00:00, 129583.64it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 129609.28it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2024112.73it/s]
Sample 24 completed
Generating sample 25/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13769/17071 [00:00<00:00, 137685.54it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137367.91it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2077196.51it/s]
Sample 25 completed
Generating sample 26/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13632/17071 [00:00<00:00, 136311.36it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136235.13it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2103559.66it/s]
Sample 26 completed
Generating sample 27/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13641/17071 [00:00<00:00, 136403.63it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136485.74it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2096537.94it/s]
Sample 27 completed
Generating sample 28/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13633/17071 [00:00<00:00, 136319.73it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135898.21it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2147148.58it/s]
Sample 28 completed
Generating sample 29/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13788/17071 [00:00<00:00, 137870.60it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137831.73it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2044164.89it/s]
Sample 29 completed
Generating sample 30/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13577/17071 [00:00<00:00, 135764.95it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135559.36it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2077377.31it/s]
Sample 30 completed
Generating sample 31/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13795/17071 [00:00<00:00, 137940.92it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 31959.68it/s] 

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2040494.83it/s]
Sample 31 completed
Generating sample 32/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13328/17071 [00:00<00:00, 133277.59it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133636.00it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2005685.41it/s]
Sample 32 completed
Generating sample 33/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13583/17071 [00:00<00:00, 135814.91it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135868.56it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2030253.88it/s]
Sample 33 completed
Generating sample 34/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  70%|██████▉   | 11874/17071 [00:00<00:00, 118735.02it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 123601.88it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2134093.28it/s]
Sample 34 completed
Generating sample 35/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13694/17071 [00:00<00:00, 136933.93it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136813.56it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1971175.08it/s]
Sample 35 completed
Generating sample 36/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13388/17071 [00:00<00:00, 133871.83it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 130732.17it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2081846.99it/s]
Sample 36 completed
Generating sample 37/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13730/17071 [00:00<00:00, 137289.98it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137149.26it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2106096.53it/s]
Sample 37 completed
Generating sample 38/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13498/17071 [00:00<00:00, 134972.73it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135132.62it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2080213.93it/s]
Sample 38 completed
Generating sample 39/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13837/17071 [00:00<00:00, 138363.53it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138349.19it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2094024.03it/s]
Sample 39 completed
Generating sample 40/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13671/17071 [00:00<00:00, 136696.44it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136643.06it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2007653.76it/s]
Sample 40 completed
Generating sample 41/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▊  | 13401/17071 [00:00<00:00, 134005.02it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134197.79it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1958075.96it/s]
Sample 41 completed
Generating sample 42/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13606/17071 [00:00<00:00, 136042.29it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135853.09it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1950979.93it/s]
Sample 42 completed
Generating sample 43/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13369/17071 [00:00<00:00, 133679.29it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134071.40it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1933854.52it/s]
Sample 43 completed
Generating sample 44/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▊  | 13418/17071 [00:00<00:00, 134175.97it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134656.62it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1971283.62it/s]
Sample 44 completed
Generating sample 45/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13813/17071 [00:00<00:00, 138115.97it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138054.16it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2048668.49it/s]
Sample 45 completed
Generating sample 46/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13357/17071 [00:00<00:00, 133560.89it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133614.30it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2128763.60it/s]
Sample 46 completed
Generating sample 47/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  70%|██████▉   | 11949/17071 [00:00<00:00, 119478.43it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 124269.26it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2168674.69it/s]
Sample 47 completed
Generating sample 48/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13547/17071 [00:00<00:00, 135458.18it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 30293.63it/s] 

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2021541.08it/s]
Sample 48 completed
Generating sample 49/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13775/17071 [00:00<00:00, 137740.94it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137487.40it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1976180.27it/s]
Sample 49 completed
Generating sample 50/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13231/17071 [00:00<00:00, 132304.76it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 132376.45it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1955562.45it/s]
Sample 50 completed
Generating sample 51/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13534/17071 [00:00<00:00, 135336.58it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135412.20it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2028815.70it/s]
Sample 51 completed
Generating sample 52/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13288/17071 [00:00<00:00, 132871.26it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133037.09it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1828420.93it/s]
Sample 52 completed
Generating sample 53/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13820/17071 [00:00<00:00, 138192.55it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138023.83it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2005011.44it/s]
Sample 53 completed
Generating sample 54/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13592/17071 [00:00<00:00, 135913.32it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135745.17it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2016019.92it/s]
Sample 54 completed
Generating sample 55/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13534/17071 [00:00<00:00, 135333.03it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135452.42it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2063725.71it/s]
Sample 55 completed
Generating sample 56/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13308/17071 [00:00<00:00, 133075.69it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133202.42it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2053309.73it/s]
Sample 56 completed
Generating sample 57/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13564/17071 [00:00<00:00, 135632.05it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135640.00it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2064737.40it/s]
Sample 57 completed
Generating sample 58/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13509/17071 [00:00<00:00, 135078.21it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134943.65it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2035621.87it/s]
Sample 58 completed
Generating sample 59/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13679/17071 [00:00<00:00, 136780.35it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136446.20it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2022226.21it/s]
Sample 59 completed
Generating sample 60/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13636/17071 [00:00<00:00, 136356.55it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135727.42it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1918002.83it/s]
Sample 60 completed
Generating sample 61/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13689/17071 [00:00<00:00, 136878.38it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136798.66it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1986432.61it/s]
Sample 61 completed
Generating sample 62/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  76%|███████▌  | 12898/17071 [00:00<00:00, 128969.36it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 128974.49it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1949121.10it/s]
Sample 62 completed
Generating sample 63/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13700/17071 [00:00<00:00, 136991.31it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137349.47it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1959254.72it/s]
Sample 63 completed
Generating sample 64/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13626/17071 [00:00<00:00, 136250.71it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136701.24it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1996457.83it/s]
Sample 64 completed
Generating sample 65/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  69%|██████▊   | 11721/17071 [00:00<00:00, 117206.48it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 121551.84it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2160755.76it/s]
Sample 65 completed
Generating sample 66/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):   1%|▏         | 218/17071 [00:00<00:33, 503.25it/s]
Calculating metrics (sequential):  81%|████████  | 13842/17071 [00:00<00:00, 34165.25it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 30645.94it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2120944.45it/s]
Sample 66 completed
Generating sample 67/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13668/17071 [00:00<00:00, 136670.35it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136531.02it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2124279.46it/s]
Sample 67 completed
Generating sample 68/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13530/17071 [00:00<00:00, 135292.06it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135132.87it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1973620.10it/s]
Sample 68 completed
Generating sample 69/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13526/17071 [00:00<00:00, 135248.84it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135164.76it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1970090.35it/s]
Sample 69 completed
Generating sample 70/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  75%|███████▌  | 12888/17071 [00:00<00:00, 128877.36it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 129082.61it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1929321.07it/s]
Sample 70 completed
Generating sample 71/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  76%|███████▌  | 12965/17071 [00:00<00:00, 129639.92it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 129787.13it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1721715.05it/s]
Sample 71 completed
Generating sample 72/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13258/17071 [00:00<00:00, 132566.22it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 132394.56it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1947106.94it/s]
Sample 72 completed
Generating sample 73/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13503/17071 [00:00<00:00, 135026.59it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134852.91it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1683461.01it/s]
Sample 73 completed
Generating sample 74/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13242/17071 [00:00<00:00, 132411.60it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 132272.27it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2128953.48it/s]
Sample 74 completed
Generating sample 75/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13320/17071 [00:00<00:00, 133191.87it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133064.29it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1792129.84it/s]
Sample 75 completed
Generating sample 76/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  77%|███████▋  | 13177/17071 [00:00<00:00, 131755.05it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 131752.62it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1938566.77it/s]
Sample 76 completed
Generating sample 77/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  69%|██████▉   | 11758/17071 [00:00<00:00, 117576.47it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 122166.35it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1943671.31it/s]
Sample 77 completed
Generating sample 78/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  77%|███████▋  | 13093/17071 [00:00<00:00, 130920.14it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 127014.44it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1970578.33it/s]
Sample 78 completed
Generating sample 79/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▊  | 13422/17071 [00:00<00:00, 134216.29it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134136.95it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1937098.28it/s]
Sample 79 completed
Generating sample 80/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  77%|███████▋  | 13140/17071 [00:00<00:00, 131395.11it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 131240.65it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1944621.50it/s]
Sample 80 completed
Generating sample 81/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13499/17071 [00:00<00:00, 134984.01it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134877.55it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1974817.65it/s]
Sample 81 completed
Generating sample 82/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  34%|███▎      | 5721/17071 [00:00<00:00, 11493.20it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 29292.30it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1904584.87it/s]
Sample 82 completed
Generating sample 83/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13514/17071 [00:00<00:00, 135132.07it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134959.16it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1942037.04it/s]
Sample 83 completed
Generating sample 84/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13266/17071 [00:00<00:00, 132650.32it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 132700.54it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2005067.59it/s]
Sample 84 completed
Generating sample 85/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13726/17071 [00:00<00:00, 137257.19it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136992.86it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1997348.91it/s]
Sample 85 completed
Generating sample 86/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13615/17071 [00:00<00:00, 136142.02it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136205.59it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2032847.75it/s]
Sample 86 completed
Generating sample 87/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13539/17071 [00:00<00:00, 135377.86it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135487.02it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1989634.13it/s]
Sample 87 completed
Generating sample 88/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  68%|██████▊   | 11591/17071 [00:00<00:00, 115904.03it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 117077.11it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2009682.37it/s]
Sample 88 completed
Generating sample 89/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13620/17071 [00:00<00:00, 136195.91it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136164.41it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1989689.42it/s]
Sample 89 completed
Generating sample 90/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13770/17071 [00:00<00:00, 137696.52it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137499.02it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1931142.31it/s]
Sample 90 completed
Generating sample 91/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13551/17071 [00:00<00:00, 135505.61it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135995.01it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1910836.74it/s]
Sample 91 completed
Generating sample 92/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13633/17071 [00:00<00:00, 136317.78it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136625.33it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2011489.03it/s]
Sample 92 completed
Generating sample 93/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13296/17071 [00:00<00:00, 132949.35it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 132958.78it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2086153.59it/s]
Sample 93 completed
Generating sample 94/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13647/17071 [00:00<00:00, 136465.90it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136500.83it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2031060.15it/s]
Sample 94 completed
Generating sample 95/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13312/17071 [00:00<00:00, 133109.02it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133104.86it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1907781.93it/s]
Sample 95 completed
Generating sample 96/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13560/17071 [00:00<00:00, 135587.85it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135197.94it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1853554.68it/s]
Sample 96 completed
Generating sample 97/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13469/17071 [00:00<00:00, 134680.50it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134652.82it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1992291.48it/s]
Sample 97 completed
Generating sample 98/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  66%|██████▌   | 11237/17071 [00:00<00:00, 21409.88it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 30027.58it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1976398.46it/s]
Sample 98 completed
Generating sample 99/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13345/17071 [00:00<00:00, 133442.49it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133790.31it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1975199.00it/s]
Sample 99 completed
Generating sample 100/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13597/17071 [00:00<00:00, 135959.76it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135896.92it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2057912.90it/s]
Sample 100 completed
Generating sample 101/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  77%|███████▋  | 13102/17071 [00:00<00:00, 131011.07it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 131418.43it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1974708.72it/s]
Sample 101 completed
Generating sample 102/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13741/17071 [00:00<00:00, 137023.98it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137559.25it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1986212.20it/s]
Sample 102 completed
Generating sample 103/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▊  | 13435/17071 [00:00<00:00, 134338.60it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134300.24it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1935370.41it/s]
Sample 103 completed
Generating sample 104/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13649/17071 [00:00<00:00, 136484.27it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136275.07it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2098750.25it/s]
Sample 104 completed
Generating sample 105/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13487/17071 [00:00<00:00, 134867.56it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134291.42it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2014431.79it/s]
Sample 105 completed
Generating sample 106/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  68%|██████▊   | 11648/17071 [00:00<00:00, 116477.33it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 117686.54it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1964954.13it/s]
Sample 106 completed
Generating sample 107/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13646/17071 [00:00<00:00, 136454.60it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136220.10it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2000697.54it/s]
Sample 107 completed
Generating sample 108/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13707/17071 [00:00<00:00, 137057.39it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136326.96it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1986928.73it/s]
Sample 108 completed
Generating sample 109/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▊  | 13438/17071 [00:00<00:00, 134373.08it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134730.86it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1981978.73it/s]
Sample 109 completed
Generating sample 110/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13572/17071 [00:00<00:00, 135707.51it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136374.48it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1964900.21it/s]
Sample 110 completed
Generating sample 111/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13544/17071 [00:00<00:00, 135433.99it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135222.19it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1967816.29it/s]
Sample 111 completed
Generating sample 112/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13534/17071 [00:00<00:00, 135329.48it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135688.32it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2041600.28it/s]
Sample 112 completed
Generating sample 113/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13605/17071 [00:00<00:00, 136041.05it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135937.95it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1960757.01it/s]
Sample 113 completed
Generating sample 114/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  77%|███████▋  | 13167/17071 [00:00<00:00, 131659.45it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 131454.13it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1743346.00it/s]
Sample 114 completed
Generating sample 115/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  70%|███████   | 11969/17071 [00:00<00:00, 21718.31it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 28969.37it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1905852.26it/s]
Sample 115 completed
Generating sample 116/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13697/17071 [00:00<00:00, 136955.76it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136700.98it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1988529.00it/s]
Sample 116 completed
Generating sample 117/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  69%|██████▉   | 11773/17071 [00:00<00:00, 117719.73it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 122324.34it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1926310.56it/s]
Sample 117 completed
Generating sample 118/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13706/17071 [00:00<00:00, 137049.02it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136902.50it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2049020.25it/s]
Sample 118 completed
Generating sample 119/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13449/17071 [00:00<00:00, 134480.19it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 130671.09it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1943460.28it/s]
Sample 119 completed
Generating sample 120/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13681/17071 [00:00<00:00, 136802.30it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136725.77it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1982362.84it/s]
Sample 120 completed
Generating sample 121/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13617/17071 [00:00<00:00, 136166.23it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136133.60it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1904280.95it/s]
Sample 121 completed
Generating sample 122/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13621/17071 [00:00<00:00, 136203.96it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136550.29it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1891553.21it/s]
Sample 122 completed
Generating sample 123/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▊  | 13420/17071 [00:00<00:00, 134189.25it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134080.94it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2016360.56it/s]
Sample 123 completed
Generating sample 124/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13591/17071 [00:00<00:00, 135899.11it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135849.74it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1974490.90it/s]
Sample 124 completed
Generating sample 125/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▊  | 13432/17071 [00:00<00:00, 134308.92it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134404.10it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2025830.79it/s]
Sample 125 completed
Generating sample 126/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▊  | 13417/17071 [00:00<00:00, 134163.41it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134307.04it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1986983.87it/s]
Sample 126 completed
Generating sample 127/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13273/17071 [00:00<00:00, 132726.65it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 132602.48it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1984450.64it/s]
Sample 127 completed
Generating sample 128/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13691/17071 [00:00<00:00, 136897.40it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136739.61it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2010359.49it/s]
Sample 128 completed
Generating sample 129/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13627/17071 [00:00<00:00, 136263.31it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135965.05it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1979786.64it/s]
Sample 129 completed
Generating sample 130/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  69%|██████▉   | 11819/17071 [00:00<00:00, 118183.35it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 118554.26it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1924084.69it/s]
Sample 130 completed
Generating sample 131/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▊  | 13427/17071 [00:00<00:00, 134260.52it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134707.03it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1974382.01it/s]
Sample 131 completed
Generating sample 132/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13343/17071 [00:00<00:00, 23949.40it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 29206.49it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1859185.80it/s]
Sample 132 completed
Generating sample 133/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▊  | 13426/17071 [00:00<00:00, 134253.73it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134361.48it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1990076.53it/s]
Sample 133 completed
Generating sample 134/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13785/17071 [00:00<00:00, 137842.90it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137317.59it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2006640.98it/s]
Sample 134 completed
Generating sample 135/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13602/17071 [00:00<00:00, 136013.00it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135816.50it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1995511.93it/s]
Sample 135 completed
Generating sample 136/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13573/17071 [00:00<00:00, 135723.66it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135853.86it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2099550.29it/s]
Sample 136 completed
Generating sample 137/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13393/17071 [00:00<00:00, 133917.04it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134062.11it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2067838.14it/s]
Sample 137 completed
Generating sample 138/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13639/17071 [00:00<00:00, 136383.95it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136163.37it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1956470.85it/s]
Sample 138 completed
Generating sample 139/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13624/17071 [00:00<00:00, 136228.44it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135936.91it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1940984.13it/s]
Sample 139 completed
Generating sample 140/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13807/17071 [00:00<00:00, 138064.21it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137922.00it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2003440.60it/s]
Sample 140 completed
Generating sample 141/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13677/17071 [00:00<00:00, 136757.74it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137090.44it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2001033.02it/s]
Sample 141 completed
Generating sample 142/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13685/17071 [00:00<00:00, 136841.00it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136769.13it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2081302.35it/s]
Sample 142 completed
Generating sample 143/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13699/17071 [00:00<00:00, 136978.05it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136871.88it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2081907.52it/s]
Sample 143 completed
Generating sample 144/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13689/17071 [00:00<00:00, 136883.28it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136763.38it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2023311.96it/s]
Sample 144 completed
Generating sample 145/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13613/17071 [00:00<00:00, 136124.61it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136083.92it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1993900.41it/s]
Sample 145 completed
Generating sample 146/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▊  | 13432/17071 [00:00<00:00, 134308.60it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134529.36it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2018634.44it/s]
Sample 146 completed
Generating sample 147/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  68%|██████▊   | 11593/17071 [00:00<00:00, 115922.10it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 120249.23it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1986046.92it/s]
Sample 147 completed
Generating sample 148/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13530/17071 [00:00<00:00, 135293.03it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 131352.85it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1977490.16it/s]
Sample 148 completed
Generating sample 149/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  60%|█████▉    | 10233/17071 [00:00<00:00, 19212.58it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 29264.96it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1917335.14it/s]
Sample 149 completed
Generating sample 150/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13697/17071 [00:00<00:00, 136961.64it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137533.88it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1941879.03it/s]
Sample 150 completed
Generating sample 151/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13576/17071 [00:00<00:00, 135750.42it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135681.89it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2029045.67it/s]
Sample 151 completed
Generating sample 152/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13826/17071 [00:00<00:00, 138251.56it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138175.65it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2026863.04it/s]
Sample 152 completed
Generating sample 153/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13638/17071 [00:00<00:00, 135866.38it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136030.15it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1992014.34it/s]
Sample 153 completed
Generating sample 154/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13614/17071 [00:00<00:00, 136132.34it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136522.17it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1982417.73it/s]
Sample 154 completed
Generating sample 155/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  77%|███████▋  | 13097/17071 [00:00<00:00, 130966.07it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 131150.27it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2033136.37it/s]
Sample 155 completed
Generating sample 156/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13649/17071 [00:00<00:00, 136479.72it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136284.92it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2062893.30it/s]
Sample 156 completed
Generating sample 157/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▊  | 13443/17071 [00:00<00:00, 134419.23it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134326.69it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1961025.51it/s]
Sample 157 completed
Generating sample 158/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13724/17071 [00:00<00:00, 137235.22it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137047.66it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1971500.73it/s]
Sample 158 completed
Generating sample 159/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  69%|██████▉   | 11746/17071 [00:00<00:00, 117457.59it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 117784.70it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1989855.31it/s]
Sample 159 completed
Generating sample 160/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13612/17071 [00:00<00:00, 136109.42it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135881.45it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1953321.79it/s]
Sample 160 completed
Generating sample 161/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13575/17071 [00:00<00:00, 135742.36it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136160.52it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1966735.25it/s]
Sample 161 completed
Generating sample 162/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13708/17071 [00:00<00:00, 137070.33it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137516.18it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2030253.88it/s]
Sample 162 completed
Generating sample 163/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13573/17071 [00:00<00:00, 135717.83it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135682.67it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2149017.46it/s]
Sample 163 completed
Generating sample 164/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13633/17071 [00:00<00:00, 136321.03it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136277.66it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2079005.91it/s]
Sample 164 completed
Generating sample 165/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  77%|███████▋  | 13172/17071 [00:00<00:00, 131709.76it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 131694.22it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2066167.36it/s]
Sample 165 completed
Generating sample 166/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  70%|██████▉   | 11937/17071 [00:00<00:00, 22246.57it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 29718.97it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1985331.03it/s]
Sample 166 completed
Generating sample 167/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13533/17071 [00:00<00:00, 135326.58it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135295.02it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1987314.76it/s]
Sample 167 completed
Generating sample 168/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  69%|██████▊   | 11731/17071 [00:00<00:00, 117296.69it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 122218.69it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1940037.49it/s]
Sample 168 completed
Generating sample 169/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13398/17071 [00:00<00:00, 133967.67it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133832.33it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1962476.73it/s]
Sample 169 completed
Generating sample 170/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13516/17071 [00:00<00:00, 135153.04it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 131454.13it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2029045.67it/s]
Sample 170 completed
Generating sample 171/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  77%|███████▋  | 13215/17071 [00:00<00:00, 132139.10it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 131687.20it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2157955.50it/s]
Sample 171 completed
Generating sample 172/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13626/17071 [00:00<00:00, 136077.80it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136594.57it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2028355.91it/s]
Sample 172 completed
Generating sample 173/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▊  | 13406/17071 [00:00<00:00, 134056.61it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134114.09it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2071367.59it/s]
Sample 173 completed
Generating sample 174/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13664/17071 [00:00<00:00, 136634.92it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136478.97it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2079307.79it/s]
Sample 174 completed
Generating sample 175/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13364/17071 [00:00<00:00, 133635.03it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133626.27it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1967491.85it/s]
Sample 175 completed
Generating sample 176/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13538/17071 [00:00<00:00, 135368.19it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135398.63it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1965331.68it/s]
Sample 176 completed
Generating sample 177/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13319/17071 [00:00<00:00, 133180.28it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133015.59it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1972098.04it/s]
Sample 177 completed
Generating sample 178/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13666/17071 [00:00<00:00, 136651.99it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136348.25it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1932028.16it/s]
Sample 178 completed
Generating sample 179/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13658/17071 [00:00<00:00, 136571.66it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136350.58it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1893954.86it/s]
Sample 179 completed
Generating sample 180/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13672/17071 [00:00<00:00, 136146.56it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136535.71it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1927036.38it/s]
Sample 180 completed
Generating sample 181/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  77%|███████▋  | 13177/17071 [00:00<00:00, 131764.47it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 131575.64it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1932549.62it/s]
Sample 181 completed
Generating sample 182/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13718/17071 [00:00<00:00, 137172.28it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137520.67it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2129523.35it/s]
Sample 182 completed
Generating sample 183/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13600/17071 [00:00<00:00, 135995.59it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135936.66it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2108266.99it/s]
Sample 183 completed
Generating sample 184/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):   1%|          | 206/17071 [00:00<00:36, 456.18it/s]
Calculating metrics (sequential):  80%|████████  | 13732/17071 [00:00<00:00, 32852.30it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 29635.07it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2076594.07it/s]
Sample 184 completed
Generating sample 185/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  77%|███████▋  | 13226/17071 [00:00<00:00, 132253.50it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 132605.92it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1862232.14it/s]
Sample 185 completed
Generating sample 186/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13741/17071 [00:00<00:00, 137405.54it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137184.20it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1919493.96it/s]
Sample 186 completed
Generating sample 187/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13612/17071 [00:00<00:00, 136111.37it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136075.65it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2009174.83it/s]
Sample 187 completed
Generating sample 188/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13755/17071 [00:00<00:00, 137544.23it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137213.39it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2021255.75it/s]
Sample 188 completed
Generating sample 189/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13701/17071 [00:00<00:00, 136999.03it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136862.20it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2023998.29it/s]
Sample 189 completed
Generating sample 190/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13514/17071 [00:00<00:00, 135133.69it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135074.75it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2036142.86it/s]
Sample 190 completed
Generating sample 191/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13740/17071 [00:00<00:00, 137390.30it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137184.73it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1941036.75it/s]
Sample 191 completed
Generating sample 192/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13741/17071 [00:00<00:00, 137404.89it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137682.51it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2002824.16it/s]
Sample 192 completed
Generating sample 193/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13605/17071 [00:00<00:00, 136041.05it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135836.60it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2052015.12it/s]
Sample 193 completed
Generating sample 194/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13698/17071 [00:00<00:00, 136964.13it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136757.63it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1962476.73it/s]
Sample 194 completed
Generating sample 195/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13655/17071 [00:00<00:00, 136539.39it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136323.07it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1973076.24it/s]
Sample 195 completed
Generating sample 196/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13332/17071 [00:00<00:00, 133314.41it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133171.95it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2023769.46it/s]
Sample 196 completed
Generating sample 197/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  69%|██████▉   | 11769/17071 [00:00<00:00, 117680.57it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 118071.18it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2073286.91it/s]
Sample 197 completed
Generating sample 198/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████▏ | 13878/17071 [00:00<00:00, 138768.22it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138446.03it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2153606.75it/s]
Sample 198 completed
Generating sample 199/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13531/17071 [00:00<00:00, 135302.71it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135182.11it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2042299.08it/s]
Sample 199 completed
Generating sample 200/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  58%|█████▊    | 9879/17071 [00:00<00:00, 21645.72it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 33495.80it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1981869.01it/s]
Sample 200 completed
Generating sample 201/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13667/17071 [00:00<00:00, 136661.01it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136540.39it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2108391.15it/s]
Sample 201 completed
Generating sample 202/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13785/17071 [00:00<00:00, 137846.52it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137581.71it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1961777.73it/s]
Sample 202 completed
Generating sample 203/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13293/17071 [00:00<00:00, 132920.94it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 132906.71it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2013921.85it/s]
Sample 203 completed
Generating sample 204/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13374/17071 [00:00<00:00, 133730.56it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134247.86it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2002264.08it/s]
Sample 204 completed
Generating sample 205/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13629/17071 [00:00<00:00, 136280.06it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136185.12it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2043056.66it/s]
Sample 205 completed
Generating sample 206/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13729/17071 [00:00<00:00, 137280.64it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137304.95it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2096046.94it/s]
Sample 206 completed
Generating sample 207/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  69%|██████▉   | 11763/17071 [00:00<00:00, 117625.91it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 122119.88it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2047555.37it/s]
Sample 207 completed
Generating sample 208/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13797/17071 [00:00<00:00, 137961.91it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137826.95it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2030656.94it/s]
Sample 208 completed
Generating sample 209/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13457/17071 [00:00<00:00, 134565.96it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 130659.17it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2099119.42it/s]
Sample 209 completed
Generating sample 210/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13718/17071 [00:00<00:00, 137170.65it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137442.54it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1985220.94it/s]
Sample 210 completed
Generating sample 211/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13471/17071 [00:00<00:00, 134701.14it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135315.73it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1916411.42it/s]
Sample 211 completed
Generating sample 212/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13673/17071 [00:00<00:00, 136723.61it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136679.58it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2110317.53it/s]
Sample 212 completed
Generating sample 213/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13564/17071 [00:00<00:00, 135631.40it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135620.21it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2015679.40it/s]
Sample 213 completed
Generating sample 214/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13740/17071 [00:00<00:00, 137389.98it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137237.06it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2086579.15it/s]
Sample 214 completed
Generating sample 215/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13389/17071 [00:00<00:00, 133878.96it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133872.11it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2099365.61it/s]
Sample 215 completed
Generating sample 216/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13785/17071 [00:00<00:00, 137839.29it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137571.14it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2221976.28it/s]
Sample 216 completed
Generating sample 217/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  42%|████▏     | 7140/17071 [00:00<00:00, 14072.29it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 29229.15it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1911295.81it/s]
Sample 217 completed
Generating sample 218/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13634/17071 [00:00<00:00, 136333.95it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136234.62it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2009908.03it/s]
Sample 218 completed
Generating sample 219/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13564/17071 [00:00<00:00, 135627.84it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135556.03it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2047613.92it/s]
Sample 219 completed
Generating sample 220/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13716/17071 [00:00<00:00, 137150.32it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136793.95it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2006865.96it/s]
Sample 220 completed
Generating sample 221/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13555/17071 [00:00<00:00, 135546.57it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135281.98it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2054370.17it/s]
Sample 221 completed
Generating sample 222/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13642/17071 [00:00<00:00, 136415.58it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136490.16it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1995067.11it/s]
Sample 222 completed
Generating sample 223/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13501/17071 [00:00<00:00, 135002.40it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135258.47it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1950767.32it/s]
Sample 223 completed
Generating sample 224/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13675/17071 [00:00<00:00, 136737.74it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136669.14it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2109447.12it/s]
Sample 224 completed
Generating sample 225/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13607/17071 [00:00<00:00, 136063.97it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136168.29it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2069332.20it/s]
Sample 225 completed
Generating sample 226/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  70%|██████▉   | 11878/17071 [00:00<00:00, 118775.58it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 123493.59it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2129966.79it/s]
Sample 226 completed
Generating sample 227/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13235/17071 [00:00<00:00, 132337.51it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 128684.05it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2093473.00it/s]
Sample 227 completed
Generating sample 228/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▊  | 13441/17071 [00:00<00:00, 134398.27it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134269.01it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1839932.25it/s]
Sample 228 completed
Generating sample 229/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13665/17071 [00:00<00:00, 136639.05it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136474.03it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1963660.80it/s]
Sample 229 completed
Generating sample 230/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13735/17071 [00:00<00:00, 137338.34it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136901.71it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1989191.93it/s]
Sample 230 completed
Generating sample 231/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13623/17071 [00:00<00:00, 136225.58it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135938.72it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1965277.73it/s]
Sample 231 completed
Generating sample 232/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13527/17071 [00:00<00:00, 135261.42it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135663.90it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2030887.33it/s]
Sample 232 completed
Generating sample 233/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13549/17071 [00:00<00:00, 135483.99it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135603.26it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1952309.85it/s]
Sample 233 completed
Generating sample 234/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  52%|█████▏    | 8847/17071 [00:00<00:00, 17489.71it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 30076.69it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1951405.31it/s]
Sample 234 completed
Generating sample 235/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13319/17071 [00:00<00:00, 133179.65it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133221.26it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2041891.39it/s]
Sample 235 completed
Generating sample 236/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13710/17071 [00:00<00:00, 137093.92it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136827.93it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1994789.20it/s]
Sample 236 completed
Generating sample 237/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  69%|██████▊   | 11720/17071 [00:00<00:00, 117190.33it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 121881.45it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1929113.15it/s]
Sample 237 completed
Generating sample 238/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13572/17071 [00:00<00:00, 135706.54it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 131825.15it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2066763.76it/s]
Sample 238 completed
Generating sample 239/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▊  | 13440/17071 [00:00<00:00, 134397.24it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134791.22it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2036374.49it/s]
Sample 239 completed
Generating sample 240/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13702/17071 [00:00<00:00, 137010.33it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136798.39it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1957487.11it/s]
Sample 240 completed
Generating sample 241/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13616/17071 [00:00<00:00, 136152.34it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135968.41it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2041251.06it/s]
Sample 241 completed
Generating sample 242/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13638/17071 [00:00<00:00, 136367.78it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136623.77it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2017610.56it/s]
Sample 242 completed
Generating sample 243/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13397/17071 [00:00<00:00, 133962.78it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133861.85it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1978309.72it/s]
Sample 243 completed
Generating sample 244/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13724/17071 [00:00<00:00, 137230.64it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137161.08it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2043931.48it/s]
Sample 244 completed
Generating sample 245/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13461/17071 [00:00<00:00, 134602.11it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134617.38it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2082937.12it/s]
Sample 245 completed
Generating sample 246/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13462/17071 [00:00<00:00, 134610.50it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134441.45it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1993067.88it/s]
Sample 246 completed
Generating sample 247/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13561/17071 [00:00<00:00, 135599.14it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135425.78it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2018236.14it/s]
Sample 247 completed
Generating sample 248/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13716/17071 [00:00<00:00, 137153.26it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137118.79it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1959630.07it/s]
Sample 248 completed
Generating sample 249/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13623/17071 [00:00<00:00, 136227.21it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136070.47it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1935318.10it/s]
Sample 249 completed
Generating sample 250/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  69%|██████▉   | 11817/17071 [00:00<00:00, 118166.17it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 118728.04it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2026690.92it/s]
Sample 250 completed
Generating sample 251/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  58%|█████▊    | 9878/17071 [00:00<00:00, 19328.71it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 30195.97it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1997627.53it/s]
Sample 251 completed
Generating sample 252/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13667/17071 [00:00<00:00, 136665.89it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136532.06it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2118810.51it/s]
Sample 252 completed
Generating sample 253/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13513/17071 [00:00<00:00, 135120.79it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135228.58it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2036953.82it/s]
Sample 253 completed
Generating sample 254/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13623/17071 [00:00<00:00, 136221.36it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135863.92it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1946101.42it/s]
Sample 254 completed
Generating sample 255/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13608/17071 [00:00<00:00, 136071.05it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136398.64it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2000250.41it/s]
Sample 255 completed
Generating sample 256/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13691/17071 [00:00<00:00, 136904.91it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136812.51it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1996457.83it/s]
Sample 256 completed
Generating sample 257/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13487/17071 [00:00<00:00, 134866.59it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135021.00it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2046560.44it/s]
Sample 257 completed
Generating sample 258/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13328/17071 [00:00<00:00, 133269.32it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133367.91it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2020913.45it/s]
Sample 258 completed
Generating sample 259/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13688/17071 [00:00<00:00, 136873.93it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136882.60it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2095924.23it/s]
Sample 259 completed
Generating sample 260/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13592/17071 [00:00<00:00, 135915.59it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135818.04it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2004225.71it/s]
Sample 260 completed
Generating sample 261/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13605/17071 [00:00<00:00, 136036.51it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136581.03it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2036027.06it/s]
Sample 261 completed
Generating sample 262/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13657/17071 [00:00<00:00, 136563.62it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136978.45it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1971826.49it/s]
Sample 262 completed
Generating sample 263/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13520/17071 [00:00<00:00, 135194.97it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135189.00it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2110504.14it/s]
Sample 263 completed
Generating sample 264/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13632/17071 [00:00<00:00, 136315.58it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136192.12it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2025945.44it/s]
Sample 264 completed
Generating sample 265/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13523/17071 [00:00<00:00, 135222.71it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135218.62it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2074247.91it/s]
Sample 265 completed
Generating sample 266/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13692/17071 [00:00<00:00, 136915.23it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136689.49it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2032559.22it/s]
Sample 266 completed
Generating sample 267/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13669/17071 [00:00<00:00, 136678.07it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136522.95it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2057026.07it/s]
Sample 267 completed
Generating sample 268/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  42%|████▏     | 7098/17071 [00:00<00:00, 15519.47it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 32006.30it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1885178.47it/s]
Sample 268 completed
Generating sample 269/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  67%|██████▋   | 11488/17071 [00:00<00:00, 114874.91it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 115978.15it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1978364.38it/s]
Sample 269 completed
Generating sample 270/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  77%|███████▋  | 13221/17071 [00:00<00:00, 132199.72it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133345.56it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2062239.73it/s]
Sample 270 completed
Generating sample 271/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▊  | 13425/17071 [00:00<00:00, 134247.57it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134378.12it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2155422.00it/s]
Sample 271 completed
Generating sample 272/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13391/17071 [00:00<00:00, 133902.47it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134029.99it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2090966.43it/s]
Sample 272 completed
Generating sample 273/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  77%|███████▋  | 13225/17071 [00:00<00:00, 132237.51it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 132082.92it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1957166.07it/s]
Sample 273 completed
Generating sample 274/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13246/17071 [00:00<00:00, 132449.71it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 132165.09it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2005011.44it/s]
Sample 274 completed
Generating sample 275/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▊  | 13440/17071 [00:00<00:00, 134390.20it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134336.77it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2088953.31it/s]
Sample 275 completed
Generating sample 276/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13385/17071 [00:00<00:00, 133837.68it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133845.34it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2075330.09it/s]
Sample 276 completed
Generating sample 277/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13450/17071 [00:00<00:00, 134494.36it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134417.98it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2061289.83it/s]
Sample 277 completed
Generating sample 278/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13485/17071 [00:00<00:00, 134840.81it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134891.02it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2048902.98it/s]
Sample 278 completed
Generating sample 279/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13562/17071 [00:00<00:00, 135612.05it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135362.03it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2044339.98it/s]
Sample 279 completed
Generating sample 280/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  68%|██████▊   | 11581/17071 [00:00<00:00, 115807.90it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 120579.11it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1981210.95it/s]
Sample 280 completed
Generating sample 281/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▊  | 13438/17071 [00:00<00:00, 134376.28it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 130626.99it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1990574.47it/s]
Sample 281 completed
Generating sample 282/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13613/17071 [00:00<00:00, 136125.59it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136444.90it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1987590.59it/s]
Sample 282 completed
Generating sample 283/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13553/17071 [00:00<00:00, 135523.34it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135948.79it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1960810.70it/s]
Sample 283 completed
Generating sample 284/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13359/17071 [00:00<00:00, 133577.39it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133564.20it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2185755.04it/s]
Sample 284 completed
Generating sample 285/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  74%|███████▍  | 12626/17071 [00:00<00:00, 23786.50it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 30288.25it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2058208.68it/s]
Sample 285 completed
Generating sample 286/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13728/17071 [00:00<00:00, 137265.40it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137218.65it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2018975.96it/s]
Sample 286 completed
Generating sample 287/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13460/17071 [00:00<00:00, 134592.43it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134638.39it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2013355.55it/s]
Sample 287 completed
Generating sample 288/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13679/17071 [00:00<00:00, 136786.87it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136697.06it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2091210.71it/s]
Sample 288 completed
Generating sample 289/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13619/17071 [00:00<00:00, 136182.01it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135746.97it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1962261.60it/s]
Sample 289 completed
Generating sample 290/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13543/17071 [00:00<00:00, 135422.70it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135149.45it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2026633.56it/s]
Sample 290 completed
Generating sample 291/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  70%|██████▉   | 11871/17071 [00:00<00:00, 118706.15it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 123373.57it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1952576.05it/s]
Sample 291 completed
Generating sample 292/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13378/17071 [00:00<00:00, 133771.20it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 130004.64it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1971337.89it/s]
Sample 292 completed
Generating sample 293/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13763/17071 [00:00<00:00, 137621.27it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137848.44it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1962207.83it/s]
Sample 293 completed
Generating sample 294/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13746/17071 [00:00<00:00, 137456.53it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137404.82it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2119751.42it/s]
Sample 294 completed
Generating sample 295/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13614/17071 [00:00<00:00, 136129.42it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136030.66it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2045040.66it/s]
Sample 295 completed
Generating sample 296/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13631/17071 [00:00<00:00, 136297.46it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135722.79it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2053309.73it/s]
Sample 296 completed
Generating sample 297/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  83%|████████▎ | 14202/17071 [00:00<00:00, 142017.77it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 141780.72it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2571873.69it/s]
Sample 297 completed
Generating sample 298/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13733/17071 [00:00<00:00, 137323.26it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137255.21it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2015565.92it/s]
Sample 298 completed
Generating sample 299/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13619/17071 [00:00<00:00, 136177.14it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136193.67it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1989191.93it/s]
Sample 299 completed
Generating sample 300/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13454/17071 [00:00<00:00, 134537.24it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134411.17it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1989357.73it/s]
Sample 300 completed
Generating sample 301/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13498/17071 [00:00<00:00, 134969.83it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134701.96it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2000082.78it/s]
Sample 301 completed
Generating sample 302/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  58%|█████▊    | 9871/17071 [00:00<00:00, 18696.25it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 29358.15it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1886569.27it/s]
Sample 302 completed
Generating sample 303/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13635/17071 [00:00<00:00, 136342.00it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136132.30it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2045215.90it/s]
Sample 303 completed
Generating sample 304/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13666/17071 [00:00<00:00, 136654.92it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136732.04it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2033771.62it/s]
Sample 304 completed
Generating sample 305/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13773/17071 [00:00<00:00, 137720.94it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138159.92it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2109012.18it/s]
Sample 305 completed
Generating sample 306/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13735/17071 [00:00<00:00, 137345.87it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137283.10it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2065988.50it/s]
Sample 306 completed
Generating sample 307/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13573/17071 [00:00<00:00, 135722.69it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135398.12it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2062417.94it/s]
Sample 307 completed
Generating sample 308/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13642/17071 [00:00<00:00, 136408.10it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136240.84it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2018975.96it/s]
Sample 308 completed
Generating sample 309/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13682/17071 [00:00<00:00, 136815.24it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136640.45it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1947636.58it/s]
Sample 309 completed
Generating sample 310/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  69%|██████▉   | 11808/17071 [00:00<00:00, 118076.45it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 122729.22it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2003833.08it/s]
Sample 310 completed
Generating sample 311/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13259/17071 [00:00<00:00, 132580.96it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 128570.36it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1983571.03it/s]
Sample 311 completed
Generating sample 312/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13726/17071 [00:00<00:00, 137249.01it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137681.98it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1978911.16it/s]
Sample 312 completed
Generating sample 313/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13658/17071 [00:00<00:00, 136571.99it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136535.97it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2117432.01it/s]
Sample 313 completed
Generating sample 314/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13473/17071 [00:00<00:00, 134724.35it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134620.67it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2064320.70it/s]
Sample 314 completed
Generating sample 315/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13525/17071 [00:00<00:00, 135244.32it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135178.80it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2047145.57it/s]
Sample 315 completed
Generating sample 316/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13636/17071 [00:00<00:00, 136348.75it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134746.33it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2050017.57it/s]
Sample 316 completed
Generating sample 317/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13688/17071 [00:00<00:00, 136870.99it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136697.06it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1983625.99it/s]
Sample 317 completed
Generating sample 318/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13587/17071 [00:00<00:00, 135862.03it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136011.54it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1989523.57it/s]
Sample 318 completed
Generating sample 319/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  15%|█▌        | 2646/17071 [00:00<00:02, 5614.79it/s]
Calculating metrics (sequential):  91%|█████████▏| 15603/17071 [00:00<00:00, 34449.17it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 29319.77it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2048258.25it/s]
Sample 319 completed
Generating sample 320/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13684/17071 [00:00<00:00, 136833.28it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136722.90it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2001928.19it/s]
Sample 320 completed
Generating sample 321/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13715/17071 [00:00<00:00, 137134.11it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137047.14it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2044807.05it/s]
Sample 321 completed
Generating sample 322/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  69%|██████▉   | 11800/17071 [00:00<00:00, 117988.86it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 122626.44it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1990740.50it/s]
Sample 322 completed
Generating sample 323/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13481/17071 [00:00<00:00, 134801.77it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 131184.63it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2037823.42it/s]
Sample 323 completed
Generating sample 324/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13669/17071 [00:00<00:00, 136676.77it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137049.50it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2017155.84it/s]
Sample 324 completed
Generating sample 325/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13691/17071 [00:00<00:00, 136906.21it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136583.37it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2032732.33it/s]
Sample 325 completed
Generating sample 326/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████▏ | 13880/17071 [00:00<00:00, 138793.18it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138433.72it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2046268.00it/s]
Sample 326 completed
Generating sample 327/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13632/17071 [00:00<00:00, 136312.33it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136438.40it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2042590.39it/s]
Sample 327 completed
Generating sample 328/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13771/17071 [00:00<00:00, 137704.22it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137309.69it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1992845.99it/s]
Sample 328 completed
Generating sample 329/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13555/17071 [00:00<00:00, 135539.47it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135405.80it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2061764.67it/s]
Sample 329 completed
Generating sample 330/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13613/17071 [00:00<00:00, 136123.96it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135802.59it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2083785.79it/s]
Sample 330 completed
Generating sample 331/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13617/17071 [00:00<00:00, 136165.26it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136607.87it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1984725.68it/s]
Sample 331 completed
Generating sample 332/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13771/17071 [00:00<00:00, 137701.92it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138071.47it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2027379.55it/s]
Sample 332 completed
Generating sample 333/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13631/17071 [00:00<00:00, 136298.76it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136182.79it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2110255.34it/s]
Sample 333 completed
Generating sample 334/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  69%|██████▉   | 11832/17071 [00:00<00:00, 118315.60it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 122723.33it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2160755.76it/s]
Sample 334 completed
Generating sample 335/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13470/17071 [00:00<00:00, 134688.25it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 29804.71it/s] 

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2010980.58it/s]
Sample 335 completed
Generating sample 336/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13726/17071 [00:00<00:00, 137252.60it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136773.31it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1939354.38it/s]
Sample 336 completed
Generating sample 337/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13626/17071 [00:00<00:00, 136252.98it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136088.32it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1987314.76it/s]
Sample 337 completed
Generating sample 338/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13611/17071 [00:00<00:00, 136100.07it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135769.37it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2088222.22it/s]
Sample 338 completed
Generating sample 339/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13663/17071 [00:00<00:00, 136626.55it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136433.46it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2085485.21it/s]
Sample 339 completed
Generating sample 340/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13617/17071 [00:00<00:00, 136165.26it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136099.18it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1986763.33it/s]
Sample 340 completed
Generating sample 341/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13633/17071 [00:00<00:00, 136322.98it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136242.65it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2014771.89it/s]
Sample 341 completed
Generating sample 342/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13373/17071 [00:00<00:00, 133721.84it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133404.69it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1992014.34it/s]
Sample 342 completed
Generating sample 343/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13674/17071 [00:00<00:00, 136730.35it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136450.10it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2081604.90it/s]
Sample 343 completed
Generating sample 344/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  77%|███████▋  | 13128/17071 [00:00<00:00, 131271.99it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 131239.69it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1812590.85it/s]
Sample 344 completed
Generating sample 345/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13303/17071 [00:00<00:00, 133025.37it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 132860.84it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2054605.97it/s]
Sample 345 completed
Generating sample 346/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13547/17071 [00:00<00:00, 135467.22it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135628.95it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2035390.40it/s]
Sample 346 completed
Generating sample 347/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13709/17071 [00:00<00:00, 137082.29it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136669.92it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1976616.71it/s]
Sample 347 completed
Generating sample 348/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13702/17071 [00:00<00:00, 137011.31it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136899.62it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1993511.81it/s]
Sample 348 completed
Generating sample 349/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13689/17071 [00:00<00:00, 136884.91it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136910.61it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1978911.16it/s]
Sample 349 completed
Generating sample 350/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13624/17071 [00:00<00:00, 136229.41it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136125.83it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1980608.10it/s]
Sample 350 completed
Generating sample 351/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  67%|██████▋   | 11448/17071 [00:00<00:00, 114471.92it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 118998.77it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1948166.51it/s]
Sample 351 completed
Generating sample 352/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  76%|███████▌  | 12981/17071 [00:00<00:00, 129800.22it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 29079.58it/s] 

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1912265.67it/s]
Sample 352 completed
Generating sample 353/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13615/17071 [00:00<00:00, 136147.21it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136176.58it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1920781.27it/s]
Sample 353 completed
Generating sample 354/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13495/17071 [00:00<00:00, 134943.37it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134995.80it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1967978.55it/s]
Sample 354 completed
Generating sample 355/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13818/17071 [00:00<00:00, 138171.90it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137937.67it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1973728.91it/s]
Sample 355 completed
Generating sample 356/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13683/17071 [00:00<00:00, 136819.04it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136841.53it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2042765.22it/s]
Sample 356 completed
Generating sample 357/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13374/17071 [00:00<00:00, 133732.79it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133905.41it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2049841.50it/s]
Sample 357 completed
Generating sample 358/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13662/17071 [00:00<00:00, 136608.41it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136681.67it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2039913.49it/s]
Sample 358 completed
Generating sample 359/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▊  | 13425/17071 [00:00<00:00, 134244.37it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134527.84it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1975744.03it/s]
Sample 359 completed
Generating sample 360/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13339/17071 [00:00<00:00, 133381.22it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133392.51it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1971120.81it/s]
Sample 360 completed
Generating sample 361/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  68%|██████▊   | 11653/17071 [00:00<00:00, 116521.22it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 121118.61it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1936521.98it/s]
Sample 361 completed
Generating sample 362/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13537/17071 [00:00<00:00, 135363.03it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 131752.87it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2105724.89it/s]
Sample 362 completed
Generating sample 363/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13684/17071 [00:00<00:00, 136830.67it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136656.62it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2157305.32it/s]
Sample 363 completed
Generating sample 364/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13652/17071 [00:00<00:00, 136512.32it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136389.02it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2042357.34it/s]
Sample 364 completed
Generating sample 365/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  77%|███████▋  | 13101/17071 [00:00<00:00, 131001.69it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 130945.67it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2012337.02it/s]
Sample 365 completed
Generating sample 366/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  76%|███████▋  | 13056/17071 [00:00<00:00, 130555.46it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 130473.70it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1945784.11it/s]
Sample 366 completed
Generating sample 367/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13512/17071 [00:00<00:00, 135114.65it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135032.72it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2012959.34it/s]
Sample 367 completed
Generating sample 368/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13764/17071 [00:00<00:00, 137635.21it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137351.57it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2006022.57it/s]
Sample 368 completed
Generating sample 369/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  38%|███▊      | 6402/17071 [00:00<00:00, 13240.08it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 30282.27it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1990795.85it/s]
Sample 369 completed
Generating sample 370/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▊  | 13402/17071 [00:00<00:00, 134016.61it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134292.18it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1992014.34it/s]
Sample 370 completed
Generating sample 371/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13748/17071 [00:00<00:00, 137475.54it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137241.79it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1969710.97it/s]
Sample 371 completed
Generating sample 372/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13641/17071 [00:00<00:00, 136394.52it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136080.82it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1990076.53it/s]
Sample 372 completed
Generating sample 373/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  69%|██████▉   | 11757/17071 [00:00<00:00, 117559.74it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 121986.31it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2081786.46it/s]
Sample 373 completed
Generating sample 374/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13317/17071 [00:00<00:00, 133159.97it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133067.75it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2115305.14it/s]
Sample 374 completed
Generating sample 375/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  76%|███████▋  | 13038/17071 [00:00<00:00, 130377.33it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 126442.71it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2030656.94it/s]
Sample 375 completed
Generating sample 376/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13350/17071 [00:00<00:00, 133492.49it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133254.48it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2055077.74it/s]
Sample 376 completed
Generating sample 377/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13526/17071 [00:00<00:00, 135255.94it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135090.81it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2029218.18it/s]
Sample 377 completed
Generating sample 378/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13544/17071 [00:00<00:00, 135436.58it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135256.93it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2009795.19it/s]
Sample 378 completed
Generating sample 379/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13241/17071 [00:00<00:00, 132394.34it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 132291.09it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2000753.45it/s]
Sample 379 completed
Generating sample 380/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13590/17071 [00:00<00:00, 135888.47it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136252.25it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2023597.87it/s]
Sample 380 completed
Generating sample 381/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13391/17071 [00:00<00:00, 133900.23it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134486.40it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1679236.46it/s]
Sample 381 completed
Generating sample 382/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  77%|███████▋  | 13156/17071 [00:00<00:00, 131550.72it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 131282.28it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2093962.79it/s]
Sample 382 completed
Generating sample 383/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13486/17071 [00:00<00:00, 134848.23it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134676.88it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1769497.91it/s]
Sample 383 completed
Generating sample 384/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13505/17071 [00:00<00:00, 135044.66it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134876.54it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2034985.46it/s]
Sample 384 completed
Generating sample 385/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  76%|███████▋  | 13031/17071 [00:00<00:00, 130302.36it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 130670.62it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1897568.80it/s]
Sample 385 completed
Generating sample 386/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  20%|█▉        | 3334/17071 [00:00<00:01, 6905.74it/s]
Calculating metrics (sequential):  97%|█████████▋| 16596/17071 [00:00<00:00, 35610.57it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 29105.08it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1841209.72it/s]
Sample 386 completed
Generating sample 387/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13468/17071 [00:00<00:00, 134667.93it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134604.72it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1802642.59it/s]
Sample 387 completed
Generating sample 388/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13576/17071 [00:00<00:00, 135753.66it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135989.33it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1767096.02it/s]
Sample 388 completed
Generating sample 389/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13603/17071 [00:00<00:00, 136017.81it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135831.44it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1827674.18it/s]
Sample 389 completed
Generating sample 390/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13694/17071 [00:00<00:00, 136929.68it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136900.40it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1791546.90it/s]
Sample 390 completed
Generating sample 391/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13698/17071 [00:00<00:00, 136976.86it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136772.52it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1700412.36it/s]
Sample 391 completed
Generating sample 392/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13630/17071 [00:00<00:00, 136294.28it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136649.84it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1663166.10it/s]
Sample 392 completed
Generating sample 393/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13636/17071 [00:00<00:00, 136354.60it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136349.54it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1906207.43it/s]
Sample 393 completed
Generating sample 394/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13299/17071 [00:00<00:00, 132979.98it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133215.80it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1758287.01it/s]
Sample 394 completed
Generating sample 395/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  68%|██████▊   | 11564/17071 [00:00<00:00, 115632.94it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 120613.44it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1649373.74it/s]
Sample 395 completed
Generating sample 396/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13705/17071 [00:00<00:00, 137043.92it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136837.35it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1609372.07it/s]
Sample 396 completed
Generating sample 397/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13358/17071 [00:00<00:00, 133572.48it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 129691.68it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1696624.89it/s]
Sample 397 completed
Generating sample 398/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13256/17071 [00:00<00:00, 132551.91it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 132503.83it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1649449.74it/s]
Sample 398 completed
Generating sample 399/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13315/17071 [00:00<00:00, 133146.95it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133011.64it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1789487.24it/s]
Sample 399 completed
Generating sample 400/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13681/17071 [00:00<00:00, 136353.38it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136685.32it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1792040.13it/s]
Sample 400 completed
Generating sample 401/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13551/17071 [00:00<00:00, 135503.02it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135888.15it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1758071.15it/s]
Sample 401 completed
Generating sample 402/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13722/17071 [00:00<00:00, 137214.57it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137637.25it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1802052.79it/s]
Sample 402 completed
Generating sample 403/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  28%|██▊       | 4717/17071 [00:00<00:01, 8704.43it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 26854.75it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1600236.09it/s]
Sample 403 completed
Generating sample 404/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13644/17071 [00:00<00:00, 136431.02it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136250.17it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1915129.95it/s]
Sample 404 completed
Generating sample 405/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13708/17071 [00:00<00:00, 137073.27it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136270.14it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1971717.89it/s]
Sample 405 completed
Generating sample 406/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13776/17071 [00:00<00:00, 137750.94it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138050.44it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1868013.66it/s]
Sample 406 completed
Generating sample 407/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  70%|██████▉   | 11887/17071 [00:00<00:00, 118857.36it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 123090.85it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2018293.03it/s]
Sample 407 completed
Generating sample 408/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13629/17071 [00:00<00:00, 136277.78it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 132581.61it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2053368.61it/s]
Sample 408 completed
Generating sample 409/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  20%|██        | 3497/17071 [00:00<00:00, 34960.45it/s]
Calculating metrics (sequential):  65%|██████▍   | 11061/17071 [00:00<00:00, 58838.75it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 69568.65it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1806554.06it/s]
Sample 409 completed
Generating sample 410/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13279/17071 [00:00<00:00, 132780.95it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 132728.83it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1969494.25it/s]
Sample 410 completed
Generating sample 411/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13374/17071 [00:00<00:00, 133729.29it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133661.44it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1913185.40it/s]
Sample 411 completed
Generating sample 412/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13240/17071 [00:00<00:00, 132394.44it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 132386.48it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1964307.25it/s]
Sample 412 completed
Generating sample 413/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  77%|███████▋  | 13191/17071 [00:00<00:00, 131898.49it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 132006.70it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2036606.18it/s]
Sample 413 completed
Generating sample 414/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  77%|███████▋  | 13078/17071 [00:00<00:00, 130767.97it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 130892.53it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2023540.68it/s]
Sample 414 completed
Generating sample 415/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13258/17071 [00:00<00:00, 132573.49it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 132587.26it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1988363.33it/s]
Sample 415 completed
Generating sample 416/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13305/17071 [00:00<00:00, 133038.71it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 132962.49it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2060518.68it/s]
Sample 416 completed
Generating sample 417/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13353/17071 [00:00<00:00, 133523.12it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133410.40it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1961025.51it/s]
Sample 417 completed
Generating sample 418/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13234/17071 [00:00<00:00, 132334.76it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 132154.35it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2033367.32it/s]
Sample 418 completed
Generating sample 419/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13281/17071 [00:00<00:00, 132797.46it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 29764.52it/s] 

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1956470.85it/s]
Sample 419 completed
Generating sample 420/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13400/17071 [00:00<00:00, 133991.50it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133850.59it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1914054.84it/s]
Sample 420 completed
Generating sample 421/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13602/17071 [00:00<00:00, 136009.75it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135689.09it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2005123.74it/s]
Sample 421 completed
Generating sample 422/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13647/17071 [00:00<00:00, 136457.77it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136150.94it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2025601.55it/s]
Sample 422 completed
Generating sample 423/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13649/17071 [00:00<00:00, 136478.42it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135896.67it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1960971.81it/s]
Sample 423 completed
Generating sample 424/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  68%|██████▊   | 11632/17071 [00:00<00:00, 116313.18it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 121175.39it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1964199.48it/s]
Sample 424 completed
Generating sample 425/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13352/17071 [00:00<00:00, 133516.94it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 130098.18it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2158280.74it/s]
Sample 425 completed
Generating sample 426/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13520/17071 [00:00<00:00, 135193.68it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135323.40it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1995790.04it/s]
Sample 426 completed
Generating sample 427/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13525/17071 [00:00<00:00, 135245.29it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135158.13it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1891353.35it/s]
Sample 427 completed
Generating sample 428/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13598/17071 [00:00<00:00, 135961.00it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135603.52it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1918722.39it/s]
Sample 428 completed
Generating sample 429/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13618/17071 [00:00<00:00, 136164.87it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136007.67it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1947954.50it/s]
Sample 429 completed
Generating sample 430/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13472/17071 [00:00<00:00, 134708.25it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134438.42it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1918362.54it/s]
Sample 430 completed
Generating sample 431/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13464/17071 [00:00<00:00, 134628.89it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134528.35it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1976398.46it/s]
Sample 431 completed
Generating sample 432/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  76%|███████▋  | 13044/17071 [00:00<00:00, 130432.97it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 131362.01it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1972369.67it/s]
Sample 432 completed
Generating sample 433/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  75%|███████▌  | 12876/17071 [00:00<00:00, 128755.52it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 128949.41it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2076714.53it/s]
Sample 433 completed
Generating sample 434/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13691/17071 [00:00<00:00, 136906.21it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136639.93it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2077317.04it/s]
Sample 434 completed
Generating sample 435/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  47%|████▋     | 8071/17071 [00:00<00:00, 80701.80it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 101227.24it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1846670.71it/s]
Sample 435 completed
Generating sample 436/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  69%|██████▉   | 11773/17071 [00:00<00:00, 117719.73it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 28761.96it/s] 

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1850536.64it/s]
Sample 436 completed
Generating sample 437/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  77%|███████▋  | 13138/17071 [00:00<00:00, 131367.28it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 126768.43it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1883641.05it/s]
Sample 437 completed
Generating sample 438/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13484/17071 [00:00<00:00, 134829.52it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135531.39it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1914566.65it/s]
Sample 438 completed
Generating sample 439/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13462/17071 [00:00<00:00, 134611.46it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134311.07it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1944304.66it/s]
Sample 439 completed
Generating sample 440/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13598/17071 [00:00<00:00, 135971.70it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136108.76it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1921348.24it/s]
Sample 440 completed
Generating sample 441/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  47%|████▋     | 8042/17071 [00:00<00:00, 80411.83it/s]
Calculating metrics (sequential):  95%|█████████▍| 16157/17071 [00:00<00:00, 80842.11it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 80352.83it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1015026.21it/s]
Sample 441 completed
Generating sample 442/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13446/17071 [00:00<00:00, 134455.00it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134765.09it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1925688.87it/s]
Sample 442 completed
Generating sample 443/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  76%|███████▌  | 13016/17071 [00:00<00:00, 130149.88it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 130332.15it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2023597.87it/s]
Sample 443 completed
Generating sample 444/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13316/17071 [00:00<00:00, 133147.11it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133519.12it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1983955.77it/s]
Sample 444 completed
Generating sample 445/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13521/17071 [00:00<00:00, 135199.17it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134824.22it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1922689.68it/s]
Sample 445 completed
Generating sample 446/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13607/17071 [00:00<00:00, 136061.70it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135825.00it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1932080.29it/s]
Sample 446 completed
Generating sample 447/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  24%|██▎       | 4036/17071 [00:00<00:00, 40345.99it/s]
Calculating metrics (sequential):  99%|█████████▉| 16859/17071 [00:00<00:00, 92030.49it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 84612.11it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1839506.82it/s]
Sample 447 completed
Generating sample 448/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▊  | 13439/17071 [00:00<00:00, 134384.68it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134166.36it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1942195.07it/s]
Sample 448 completed
Generating sample 449/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13638/17071 [00:00<00:00, 136373.95it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136160.52it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2020058.22it/s]
Sample 449 completed
Generating sample 450/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13548/17071 [00:00<00:00, 135471.73it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135786.88it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1906918.17it/s]
Sample 450 completed
Generating sample 451/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13389/17071 [00:00<00:00, 133881.51it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134659.15it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1981485.09it/s]
Sample 451 completed
Generating sample 452/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13470/17071 [00:00<00:00, 134689.53it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134559.95it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2070050.12it/s]
Sample 452 completed
Generating sample 453/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  69%|██████▉   | 11749/17071 [00:00<00:00, 117481.99it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 29147.85it/s] 

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1971500.73it/s]
Sample 453 completed
Generating sample 454/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  60%|█████▉    | 10230/17071 [00:00<00:00, 102290.10it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 97979.49it/s] 

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1241864.92it/s]
Sample 454 completed
Generating sample 455/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13333/17071 [00:00<00:00, 133319.64it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 132933.36it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1748070.40it/s]
Sample 455 completed
Generating sample 456/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13391/17071 [00:00<00:00, 133898.95it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133701.62it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1718368.14it/s]
Sample 456 completed
Generating sample 457/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13605/17071 [00:00<00:00, 136041.37it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135768.34it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2077256.77it/s]
Sample 457 completed
Generating sample 458/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13560/17071 [00:00<00:00, 135591.40it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135598.38it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1681050.02it/s]
Sample 458 completed
Generating sample 459/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13584/17071 [00:00<00:00, 135832.36it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135567.32it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1904787.54it/s]
Sample 459 completed
Generating sample 460/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  67%|██████▋   | 11426/17071 [00:00<00:00, 114198.03it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 103536.48it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1152085.53it/s]
Sample 460 completed
Generating sample 461/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13506/17071 [00:00<00:00, 135051.76it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135565.52it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1953694.88it/s]
Sample 461 completed
Generating sample 462/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13740/17071 [00:00<00:00, 137391.29it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137155.04it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2028873.19it/s]
Sample 462 completed
Generating sample 463/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13703/17071 [00:00<00:00, 137020.66it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137023.01it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1954228.11it/s]
Sample 463 completed
Generating sample 464/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  70%|██████▉   | 11890/17071 [00:00<00:00, 118893.03it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 123751.21it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1983571.03it/s]
Sample 464 completed
Generating sample 465/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13513/17071 [00:00<00:00, 135123.36it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 131435.79it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1940247.77it/s]
Sample 465 completed
Generating sample 466/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13671/17071 [00:00<00:00, 136700.68it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136566.70it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1986928.73it/s]
Sample 466 completed
Generating sample 467/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  61%|██████    | 10411/17071 [00:00<00:00, 104097.94it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 103966.60it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1255408.42it/s]
Sample 467 completed
Generating sample 468/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13771/17071 [00:00<00:00, 137698.31it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137592.29it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1978473.71it/s]
Sample 468 completed
Generating sample 469/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13814/17071 [00:00<00:00, 138129.92it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137892.25it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1936521.98it/s]
Sample 469 completed
Generating sample 470/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13618/17071 [00:00<00:00, 136169.09it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 28960.15it/s] 

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1865969.03it/s]
Sample 470 completed
Generating sample 471/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13807/17071 [00:00<00:00, 138064.21it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138120.21it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2030484.18it/s]
Sample 471 completed
Generating sample 472/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13344/17071 [00:00<00:00, 133429.31it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133376.85it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1955722.69it/s]
Sample 472 completed
Generating sample 473/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13814/17071 [00:00<00:00, 138136.84it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138096.77it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1934742.86it/s]
Sample 473 completed
Generating sample 474/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  60%|██████    | 10263/17071 [00:00<00:00, 102612.48it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 103573.77it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1303494.69it/s]
Sample 474 completed
Generating sample 475/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13658/17071 [00:00<00:00, 136576.55it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136620.12it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2030714.53it/s]
Sample 475 completed
Generating sample 476/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  67%|██████▋   | 11521/17071 [00:00<00:00, 115201.05it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 116316.90it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1945731.23it/s]
Sample 476 completed
Generating sample 477/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13832/17071 [00:00<00:00, 138311.23it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137981.27it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2014828.59it/s]
Sample 477 completed
Generating sample 478/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13796/17071 [00:00<00:00, 137954.54it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137898.36it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1948749.76it/s]
Sample 478 completed
Generating sample 479/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13807/17071 [00:00<00:00, 138058.94it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138131.67it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2019203.71it/s]
Sample 479 completed
Generating sample 480/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  45%|████▍     | 7629/17071 [00:00<00:00, 76280.62it/s]
Calculating metrics (sequential):  90%|█████████ | 15375/17071 [00:00<00:00, 76967.69it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 76927.58it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 967031.73it/s]
Sample 480 completed
Generating sample 481/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13348/17071 [00:00<00:00, 133473.76it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133339.35it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2112621.37it/s]
Sample 481 completed
Generating sample 482/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13773/17071 [00:00<00:00, 137716.67it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137820.85it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2034118.28it/s]
Sample 482 completed
Generating sample 483/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13277/17071 [00:00<00:00, 132761.58it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 132800.96it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2040727.46it/s]
Sample 483 completed
Generating sample 484/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13800/17071 [00:00<00:00, 137990.26it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137668.48it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1996402.16it/s]
Sample 484 completed
Generating sample 485/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13705/17071 [00:00<00:00, 137040.00it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137071.54it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2082391.91it/s]
Sample 485 completed
Generating sample 486/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  50%|█████     | 8595/17071 [00:00<00:00, 85943.73it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 91001.48it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1684807.84it/s]
Sample 486 completed
Generating sample 487/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  64%|██████▍   | 10896/17071 [00:00<00:00, 21008.95it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 30224.92it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1962369.16it/s]
Sample 487 completed
Generating sample 488/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13691/17071 [00:00<00:00, 136904.91it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137340.77it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1997237.48it/s]
Sample 488 completed
Generating sample 489/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13615/17071 [00:00<00:00, 136146.56it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136116.00it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2043056.66it/s]
Sample 489 completed
Generating sample 490/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13734/17071 [00:00<00:00, 137335.87it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137045.57it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1971717.89it/s]
Sample 490 completed
Generating sample 491/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13748/17071 [00:00<00:00, 137474.89it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137334.71it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1963068.59it/s]
Sample 491 completed
Generating sample 492/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13765/17071 [00:00<00:00, 137640.29it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138013.72it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1986653.08it/s]
Sample 492 completed
Generating sample 493/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  59%|█████▉    | 10147/17071 [00:00<00:00, 101454.37it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 101635.61it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1134003.22it/s]
Sample 493 completed
Generating sample 494/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13729/17071 [00:00<00:00, 137281.29it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137219.17it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1991404.91it/s]
Sample 494 completed
Generating sample 495/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13699/17071 [00:00<00:00, 136981.97it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136844.67it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1941141.99it/s]
Sample 495 completed
Generating sample 496/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  70%|██████▉   | 11902/17071 [00:00<00:00, 119010.47it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 123923.20it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1977380.93it/s]
Sample 496 completed
Generating sample 497/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13501/17071 [00:00<00:00, 135005.62it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 131103.92it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1994344.70it/s]
Sample 497 completed
Generating sample 498/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████▏ | 13878/17071 [00:00<00:00, 138773.85it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138494.50it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2063547.28it/s]
Sample 498 completed
Generating sample 499/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  63%|██████▎   | 10696/17071 [00:00<00:00, 106946.59it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 111550.92it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 901015.06it/s]
Sample 499 completed
Generating sample 500/500 (prompt_gen: full, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13678/17071 [00:00<00:00, 136771.65it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136988.41it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2018122.37it/s]
Sample 500 completed
Completed temperature 1.5
Running with temperature: 2.0
Generating sample 1/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13757/17071 [00:00<00:00, 137559.31it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137810.24it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1964846.29it/s]
Sample 1 completed
Generating sample 2/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13679/17071 [00:00<00:00, 136786.87it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136580.50it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2054959.78it/s]
Sample 2 completed
Generating sample 3/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  77%|███████▋  | 13219/17071 [00:00<00:00, 132182.56it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 132175.82it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1943776.84it/s]
Sample 3 completed
Generating sample 4/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  72%|███████▏  | 12298/17071 [00:00<00:00, 23441.75it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 30491.34it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1953268.50it/s]
Sample 4 completed
Generating sample 5/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  67%|██████▋   | 11521/17071 [00:00<00:00, 115200.77it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 119914.12it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2051250.89it/s]
Sample 5 completed
Generating sample 6/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  58%|█████▊    | 9878/17071 [00:00<00:00, 98770.20it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 99279.21it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1101333.02it/s]
Sample 6 completed
Generating sample 7/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13309/17071 [00:00<00:00, 133083.46it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 132910.16it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2121132.94it/s]
Sample 7 completed
Generating sample 8/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▊  | 13404/17071 [00:00<00:00, 134032.78it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134286.13it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2132186.76it/s]
Sample 8 completed
Generating sample 9/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13458/17071 [00:00<00:00, 134574.03it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134423.53it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2062299.13it/s]
Sample 9 completed
Generating sample 10/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13494/17071 [00:00<00:00, 134933.37it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134705.51it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1936941.07it/s]
Sample 10 completed
Generating sample 11/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13376/17071 [00:00<00:00, 133748.33it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133505.43it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1905497.22it/s]
Sample 11 completed
Generating sample 12/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13715/17071 [00:00<00:00, 137140.98it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136987.62it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1989081.41it/s]
Sample 12 completed
Generating sample 13/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13279/17071 [00:00<00:00, 132779.68it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 132947.43it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2100535.79it/s]
Sample 13 completed
Generating sample 14/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13617/17071 [00:00<00:00, 136160.07it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135994.75it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1964253.36it/s]
Sample 14 completed
Generating sample 15/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13588/17071 [00:00<00:00, 135867.17it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135680.09it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2009118.46it/s]
Sample 15 completed
Generating sample 16/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13495/17071 [00:00<00:00, 134943.69it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134826.25it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1697831.82it/s]
Sample 16 completed
Generating sample 17/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  69%|██████▉   | 11796/17071 [00:00<00:00, 117952.52it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 122522.57it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1985826.59it/s]
Sample 17 completed
Generating sample 18/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13377/17071 [00:00<00:00, 133756.73it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 129799.13it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1868159.88it/s]
Sample 18 completed
Generating sample 19/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  60%|██████    | 10260/17071 [00:00<00:00, 102589.09it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 102996.15it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1252334.34it/s]
Sample 19 completed
Generating sample 20/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13658/17071 [00:00<00:00, 136102.15it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136507.07it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1929321.07it/s]
Sample 20 completed
Generating sample 21/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  56%|█████▌    | 9555/17071 [00:00<00:00, 18645.00it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 30035.69it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1740972.20it/s]
Sample 21 completed
Generating sample 22/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13626/17071 [00:00<00:00, 136248.44it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136284.66it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2061171.16it/s]
Sample 22 completed
Generating sample 23/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13641/17071 [00:00<00:00, 136404.93it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136367.46it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1992014.34it/s]
Sample 23 completed
Generating sample 24/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13456/17071 [00:00<00:00, 134554.03it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134357.70it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1977544.77it/s]
Sample 24 completed
Generating sample 25/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13276/17071 [00:00<00:00, 132754.75it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 132983.72it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1980169.90it/s]
Sample 25 completed
Generating sample 26/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13452/17071 [00:00<00:00, 134509.87it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134574.36it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2001033.02it/s]
Sample 26 completed
Generating sample 27/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13746/17071 [00:00<00:00, 137450.63it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137362.90it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1978473.71it/s]
Sample 27 completed
Generating sample 28/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13495/17071 [00:00<00:00, 134941.76it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134866.63it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1919802.76it/s]
Sample 28 completed
Generating sample 29/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13519/17071 [00:00<00:00, 135180.78it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135013.37it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1863395.28it/s]
Sample 29 completed
Generating sample 30/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13671/17071 [00:00<00:00, 136138.87it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136647.23it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1938829.23it/s]
Sample 30 completed
Generating sample 31/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13347/17071 [00:00<00:00, 133463.13it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133698.13it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1900338.75it/s]
Sample 31 completed
Generating sample 32/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  69%|██████▉   | 11761/17071 [00:00<00:00, 117597.78it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 122175.31it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1921863.96it/s]
Sample 32 completed
Generating sample 33/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▊  | 13405/17071 [00:00<00:00, 134037.35it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 130380.09it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2016985.37it/s]
Sample 33 completed
Generating sample 34/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13596/17071 [00:00<00:00, 135949.11it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135927.11it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2053250.85it/s]
Sample 34 completed
Generating sample 35/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13555/17071 [00:00<00:00, 135538.50it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135059.97it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1896463.08it/s]
Sample 35 completed
Generating sample 36/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13581/17071 [00:00<00:00, 135800.09it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135612.25it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1987645.77it/s]
Sample 36 completed
Generating sample 37/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13787/17071 [00:00<00:00, 137858.96it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137657.10it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1930569.55it/s]
Sample 37 completed
Generating sample 38/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  17%|█▋        | 2962/17071 [00:00<00:02, 5898.48it/s]
Calculating metrics (sequential):  96%|█████████▌| 16331/17071 [00:00<00:00, 34200.86it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 28087.39it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2069750.93it/s]
Sample 38 completed
Generating sample 39/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13472/17071 [00:00<00:00, 134716.60it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134446.75it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1986212.20it/s]
Sample 39 completed
Generating sample 40/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13644/17071 [00:00<00:00, 136432.97it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136346.95it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1920626.71it/s]
Sample 40 completed
Generating sample 41/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13694/17071 [00:00<00:00, 136930.66it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136684.80it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2039506.75it/s]
Sample 41 completed
Generating sample 42/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  70%|███████   | 12005/17071 [00:00<00:00, 120046.97it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 124816.90it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2021369.87it/s]
Sample 42 completed
Generating sample 43/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▊  | 13413/17071 [00:00<00:00, 134117.66it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 130254.14it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2007822.65it/s]
Sample 43 completed
Generating sample 44/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13865/17071 [00:00<00:00, 138639.22it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 139012.37it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 321110.79it/s]
Sample 44 completed
Generating sample 45/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13686/17071 [00:00<00:00, 136849.36it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136847.55it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2129080.09it/s]
Sample 45 completed
Generating sample 46/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13843/17071 [00:00<00:00, 138421.55it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138278.39it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2055195.72it/s]
Sample 46 completed
Generating sample 47/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13642/17071 [00:00<00:00, 136414.60it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136328.78it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2018406.82it/s]
Sample 47 completed
Generating sample 48/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13844/17071 [00:00<00:00, 138430.89it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138170.32it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2036606.18it/s]
Sample 48 completed
Generating sample 49/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13813/17071 [00:00<00:00, 138118.61it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137801.49it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1999412.57it/s]
Sample 49 completed
Generating sample 50/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████▏ | 13907/17071 [00:00<00:00, 139053.89it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138693.29it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1987645.77it/s]
Sample 50 completed
Generating sample 51/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  60%|█████▉    | 10240/17071 [00:00<00:00, 102385.45it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 102846.87it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1266466.74it/s]
Sample 51 completed
Generating sample 52/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13680/17071 [00:00<00:00, 136795.24it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137185.52it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1974273.13it/s]
Sample 52 completed
Generating sample 53/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13583/17071 [00:00<00:00, 135825.60it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136037.12it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1900590.97it/s]
Sample 53 completed
Generating sample 54/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13517/17071 [00:00<00:00, 135166.58it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135426.29it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2038461.60it/s]
Sample 54 completed
Generating sample 55/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  25%|██▌       | 4353/17071 [00:00<00:01, 9343.79it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 30345.86it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2056612.48it/s]
Sample 55 completed
Generating sample 56/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████▏ | 13881/17071 [00:00<00:00, 138802.52it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138576.52it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2031578.81it/s]
Sample 56 completed
Generating sample 57/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13760/17071 [00:00<00:00, 137592.59it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137484.23it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2019146.77it/s]
Sample 57 completed
Generating sample 58/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13705/17071 [00:00<00:00, 137043.27it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136805.19it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2123271.56it/s]
Sample 58 completed
Generating sample 59/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13651/17071 [00:00<00:00, 136506.88it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136016.19it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1992180.62it/s]
Sample 59 completed
Generating sample 60/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  69%|██████▉   | 11859/17071 [00:00<00:00, 118578.24it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 123171.10it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1952842.32it/s]
Sample 60 completed
Generating sample 61/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13565/17071 [00:00<00:00, 135644.95it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 131908.94it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1995178.30it/s]
Sample 61 completed
Generating sample 62/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13746/17071 [00:00<00:00, 137450.30it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137916.68it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1944251.87it/s]
Sample 62 completed
Generating sample 63/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13449/17071 [00:00<00:00, 134476.02it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134397.54it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2070349.40it/s]
Sample 63 completed
Generating sample 64/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13725/17071 [00:00<00:00, 137244.90it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137079.41it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2066525.16it/s]
Sample 64 completed
Generating sample 65/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13722/17071 [00:00<00:00, 137211.95it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137137.96it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1970741.04it/s]
Sample 65 completed
Generating sample 66/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13812/17071 [00:00<00:00, 138106.30it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137888.26it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1968519.60it/s]
Sample 66 completed
Generating sample 67/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13760/17071 [00:00<00:00, 137587.67it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137369.23it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2004618.50it/s]
Sample 67 completed
Generating sample 68/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13287/17071 [00:00<00:00, 132858.09it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 132952.12it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1967924.46it/s]
Sample 68 completed
Generating sample 69/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13671/17071 [00:00<00:00, 136702.31it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136383.57it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1944568.69it/s]
Sample 69 completed
Generating sample 70/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13694/17071 [00:00<00:00, 136931.97it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137269.68it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1855620.27it/s]
Sample 70 completed
Generating sample 71/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13600/17071 [00:00<00:00, 135987.16it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136249.39it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1943671.31it/s]
Sample 71 completed
Generating sample 72/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  30%|██▉       | 5051/17071 [00:00<00:01, 9516.76it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 27497.33it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1869476.86it/s]
Sample 72 completed
Generating sample 73/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13348/17071 [00:00<00:00, 133476.94it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 129220.52it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1957915.33it/s]
Sample 73 completed
Generating sample 74/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▊  | 13405/17071 [00:00<00:00, 134039.58it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134639.40it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1962960.95it/s]
Sample 74 completed
Generating sample 75/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13503/17071 [00:00<00:00, 135020.47it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134711.85it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1933280.15it/s]
Sample 75 completed
Generating sample 76/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  77%|███████▋  | 13067/17071 [00:00<00:00, 130662.03it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 130531.02it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1991903.51it/s]
Sample 76 completed
Generating sample 77/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  76%|███████▋  | 13026/17071 [00:00<00:00, 130255.16it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 131103.44it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1909613.64it/s]
Sample 77 completed
Generating sample 78/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13547/17071 [00:00<00:00, 135458.50it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134553.63it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1856871.46it/s]
Sample 78 completed
Generating sample 79/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  76%|███████▌  | 12955/17071 [00:00<00:00, 129538.70it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 130574.34it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1986708.20it/s]
Sample 79 completed
Generating sample 80/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13534/17071 [00:00<00:00, 135334.32it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134922.54it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1974327.57it/s]
Sample 80 completed
Generating sample 81/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13310/17071 [00:00<00:00, 133093.46it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133852.59it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2072386.79it/s]
Sample 81 completed
Generating sample 82/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13364/17071 [00:00<00:00, 133633.44it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133227.45it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2003216.39it/s]
Sample 82 completed
Generating sample 83/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13360/17071 [00:00<00:00, 133590.25it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134248.62it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2011771.62it/s]
Sample 83 completed
Generating sample 84/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13669/17071 [00:00<00:00, 136681.66it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136028.08it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1968573.73it/s]
Sample 84 completed
Generating sample 85/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13696/17071 [00:00<00:00, 136955.23it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136943.60it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1974981.07it/s]
Sample 85 completed
Generating sample 86/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13270/17071 [00:00<00:00, 132695.38it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133425.57it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1941089.37it/s]
Sample 86 completed
Generating sample 87/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13544/17071 [00:00<00:00, 135429.47it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134672.57it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1948219.51it/s]
Sample 87 completed
Generating sample 88/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13328/17071 [00:00<00:00, 133273.14it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133721.85it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2024742.35it/s]
Sample 88 completed
Generating sample 89/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  34%|███▍      | 5766/17071 [00:00<00:00, 11909.08it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 29944.08it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1695781.06it/s]
Sample 89 completed
Generating sample 90/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  47%|████▋     | 8103/17071 [00:00<00:00, 81021.19it/s]
Calculating metrics (sequential):  95%|█████████▍| 16206/17071 [00:00<00:00, 77648.73it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 77563.42it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1076139.83it/s]
Sample 90 completed
Generating sample 91/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13574/17071 [00:00<00:00, 135727.83it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135421.94it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2035795.50it/s]
Sample 91 completed
Generating sample 92/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13656/17071 [00:00<00:00, 136553.29it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136349.28it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1995178.30it/s]
Sample 92 completed
Generating sample 93/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13398/17071 [00:00<00:00, 133968.31it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133943.99it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2059096.53it/s]
Sample 93 completed
Generating sample 94/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13758/17071 [00:00<00:00, 137576.85it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136874.75it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2035969.16it/s]
Sample 94 completed
Generating sample 95/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13519/17071 [00:00<00:00, 135178.20it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135129.56it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2021426.94it/s]
Sample 95 completed
Generating sample 96/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13543/17071 [00:00<00:00, 135423.99it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135085.96it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1964954.13it/s]
Sample 96 completed
Generating sample 97/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  59%|█████▉    | 10101/17071 [00:00<00:00, 101003.84it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 100856.66it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1312767.47it/s]
Sample 97 completed
Generating sample 98/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13806/17071 [00:00<00:00, 138054.87it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138387.43it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1994178.07it/s]
Sample 98 completed
Generating sample 99/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13557/17071 [00:00<00:00, 135566.90it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136042.55it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1932810.46it/s]
Sample 99 completed
Generating sample 100/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13786/17071 [00:00<00:00, 137852.24it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137543.13it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2058918.90it/s]
Sample 100 completed
Generating sample 101/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13645/17071 [00:00<00:00, 136441.67it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136388.76it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2048082.48it/s]
Sample 101 completed
Generating sample 102/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  70%|███████   | 11962/17071 [00:00<00:00, 119578.77it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 119879.59it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2010359.49it/s]
Sample 102 completed
Generating sample 103/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13732/17071 [00:00<00:00, 137316.53it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137078.62it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2009569.56it/s]
Sample 103 completed
Generating sample 104/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  45%|████▍     | 7665/17071 [00:00<00:00, 76640.94it/s]
Calculating metrics (sequential):  90%|█████████ | 15418/17071 [00:00<00:00, 77157.66it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 77118.23it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 890227.07it/s]
Sample 104 completed
Generating sample 105/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  66%|██████▌   | 11231/17071 [00:00<00:00, 21907.06it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 30726.12it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2071787.14it/s]
Sample 105 completed
Generating sample 106/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13617/17071 [00:00<00:00, 136165.58it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136039.97it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1805369.73it/s]
Sample 106 completed
Generating sample 107/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13752/17071 [00:00<00:00, 137508.33it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137401.92it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2073707.24it/s]
Sample 107 completed
Generating sample 108/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13819/17071 [00:00<00:00, 138180.58it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138012.12it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2031233.01it/s]
Sample 108 completed
Generating sample 109/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13338/17071 [00:00<00:00, 133372.18it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133391.27it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1987369.92it/s]
Sample 109 completed
Generating sample 110/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13758/17071 [00:00<00:00, 137573.24it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137826.16it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1961992.75it/s]
Sample 110 completed
Generating sample 111/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  59%|█████▉    | 10069/17071 [00:00<00:00, 100681.93it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 101046.96it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1664403.25it/s]
Sample 111 completed
Generating sample 112/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13479/17071 [00:00<00:00, 134782.74it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134826.00it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2047262.64it/s]
Sample 112 completed
Generating sample 113/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13350/17071 [00:00<00:00, 133493.76it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133864.35it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2041891.39it/s]
Sample 113 completed
Generating sample 114/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13684/17071 [00:00<00:00, 136837.19it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136932.34it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2016417.35it/s]
Sample 114 completed
Generating sample 115/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13609/17071 [00:00<00:00, 136080.07it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135664.41it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1911091.75it/s]
Sample 115 completed
Generating sample 116/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13699/17071 [00:00<00:00, 136986.54it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137352.63it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2010811.15it/s]
Sample 116 completed
Generating sample 117/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13637/17071 [00:00<00:00, 136362.00it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136810.94it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1988694.69it/s]
Sample 117 completed
Generating sample 118/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  69%|██████▊   | 11725/17071 [00:00<00:00, 117246.20it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 117075.58it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1836440.11it/s]
Sample 118 completed
Generating sample 119/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13396/17071 [00:00<00:00, 133949.27it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133995.62it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2138746.75it/s]
Sample 119 completed
Generating sample 120/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13629/17071 [00:00<00:00, 136283.96it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136429.82it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2025888.11it/s]
Sample 120 completed
Generating sample 121/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13483/17071 [00:00<00:00, 134826.59it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134777.27it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1746066.86it/s]
Sample 121 completed
Generating sample 122/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  70%|██████▉   | 11945/17071 [00:00<00:00, 22751.65it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 30312.61it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1998408.09it/s]
Sample 122 completed
Generating sample 123/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13668/17071 [00:00<00:00, 136674.59it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136451.92it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1975253.49it/s]
Sample 123 completed
Generating sample 124/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  46%|████▌     | 7777/17071 [00:00<00:00, 77757.65it/s]
Calculating metrics (sequential):  91%|█████████ | 15566/17071 [00:00<00:00, 77828.67it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 77598.72it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 938007.99it/s]
Sample 124 completed
Generating sample 125/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▊  | 13442/17071 [00:00<00:00, 134415.32it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134601.69it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2093289.39it/s]
Sample 125 completed
Generating sample 126/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13685/17071 [00:00<00:00, 136840.02it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136587.02it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2116242.94it/s]
Sample 126 completed
Generating sample 127/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13791/17071 [00:00<00:00, 137902.90it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137669.01it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1930829.86it/s]
Sample 127 completed
Generating sample 128/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  69%|██████▉   | 11778/17071 [00:00<00:00, 117768.04it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 122185.53it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1918619.57it/s]
Sample 128 completed
Generating sample 129/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13689/17071 [00:00<00:00, 136880.34it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136808.85it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2059985.14it/s]
Sample 129 completed
Generating sample 130/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13269/17071 [00:00<00:00, 132680.00it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 128927.12it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1993456.31it/s]
Sample 130 completed
Generating sample 131/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13706/17071 [00:00<00:00, 137056.21it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136718.73it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1714130.94it/s]
Sample 131 completed
Generating sample 132/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13595/17071 [00:00<00:00, 135942.68it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135975.64it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2020628.29it/s]
Sample 132 completed
Generating sample 133/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13594/17071 [00:00<00:00, 135934.30it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135718.16it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1734057.39it/s]
Sample 133 completed
Generating sample 134/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13655/17071 [00:00<00:00, 136543.29it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136200.93it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2039913.49it/s]
Sample 134 completed
Generating sample 135/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13680/17071 [00:00<00:00, 136796.87it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136619.07it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1987700.95it/s]
Sample 135 completed
Generating sample 136/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▊  | 13437/17071 [00:00<00:00, 134354.43it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134202.82it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1945678.36it/s]
Sample 136 completed
Generating sample 137/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  47%|████▋     | 7981/17071 [00:00<00:00, 79802.85it/s]
Calculating metrics (sequential):  94%|█████████▎| 15962/17071 [00:00<00:00, 79639.79it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 79963.64it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 925543.41it/s]
Sample 137 completed
Generating sample 138/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13512/17071 [00:00<00:00, 135112.08it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135677.78it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1996513.50it/s]
Sample 138 completed
Generating sample 139/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  70%|██████▉   | 11898/17071 [00:00<00:00, 118969.33it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 122938.47it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2074788.86it/s]
Sample 139 completed
Generating sample 140/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):   1%|▏         | 255/17071 [00:00<00:30, 559.58it/s]
Calculating metrics (sequential):  81%|████████  | 13795/17071 [00:00<00:00, 32741.34it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 29443.74it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2130410.41it/s]
Sample 140 completed
Generating sample 141/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  77%|███████▋  | 13197/17071 [00:00<00:00, 131959.11it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 132337.79it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2050428.51it/s]
Sample 141 completed
Generating sample 142/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13393/17071 [00:00<00:00, 133920.23it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133773.32it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2022626.09it/s]
Sample 142 completed
Generating sample 143/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13731/17071 [00:00<00:00, 137301.62it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137606.57it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2004618.50it/s]
Sample 143 completed
Generating sample 144/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13616/17071 [00:00<00:00, 136153.96it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136124.80it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1999468.41it/s]
Sample 144 completed
Generating sample 145/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  82%|████████▏ | 13926/17071 [00:00<00:00, 139249.84it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 139016.69it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2015452.45it/s]
Sample 145 completed
Generating sample 146/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13579/17071 [00:00<00:00, 135779.45it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135830.15it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1955669.28it/s]
Sample 146 completed
Generating sample 147/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13513/17071 [00:00<00:00, 135122.72it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134914.41it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1972261.01it/s]
Sample 147 completed
Generating sample 148/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13256/17071 [00:00<00:00, 132556.97it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133062.81it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2047731.04it/s]
Sample 148 completed
Generating sample 149/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13739/17071 [00:00<00:00, 137383.25it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137024.58it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2177115.17it/s]
Sample 149 completed
Generating sample 150/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13857/17071 [00:00<00:00, 138558.57it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138386.09it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2138108.09it/s]
Sample 150 completed
Generating sample 151/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13827/17071 [00:00<00:00, 138262.55it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138101.83it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2137533.62it/s]
Sample 151 completed
Generating sample 152/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13760/17071 [00:00<00:00, 137587.01it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137413.78it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2045099.07it/s]
Sample 152 completed
Generating sample 153/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13850/17071 [00:00<00:00, 138488.25it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138333.69it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2066346.24it/s]
Sample 153 completed
Generating sample 154/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13826/17071 [00:00<00:00, 138248.93it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138077.86it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2056553.41it/s]
Sample 154 completed
Generating sample 155/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  68%|██████▊   | 11682/17071 [00:00<00:00, 116809.81it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 121403.45it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2019773.30it/s]
Sample 155 completed
Generating sample 156/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  62%|██████▏   | 10564/17071 [00:00<00:00, 20764.80it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 30706.03it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2019317.60it/s]
Sample 156 completed
Generating sample 157/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13849/17071 [00:00<00:00, 138478.25it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138636.62it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2021655.24it/s]
Sample 157 completed
Generating sample 158/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13726/17071 [00:00<00:00, 137252.28it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137127.46it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2070648.76it/s]
Sample 158 completed
Generating sample 159/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13601/17071 [00:00<00:00, 136002.35it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135951.89it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2030311.45it/s]
Sample 159 completed
Generating sample 160/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13732/17071 [00:00<00:00, 137317.18it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137292.58it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2018748.27it/s]
Sample 160 completed
Generating sample 161/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13781/17071 [00:00<00:00, 137804.87it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138213.52it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2019602.39it/s]
Sample 161 completed
Generating sample 162/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13616/17071 [00:00<00:00, 136147.47it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135959.63it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2037475.49it/s]
Sample 162 completed
Generating sample 163/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13736/17071 [00:00<00:00, 137344.41it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137134.81it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2025486.95it/s]
Sample 163 completed
Generating sample 164/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13463/17071 [00:00<00:00, 134624.99it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134556.66it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2065154.27it/s]
Sample 164 completed
Generating sample 165/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████▏ | 13912/17071 [00:00<00:00, 139110.18it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138743.27it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1994233.61it/s]
Sample 165 completed
Generating sample 166/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13846/17071 [00:00<00:00, 138453.20it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138118.61it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1998519.65it/s]
Sample 166 completed
Generating sample 167/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  70%|██████▉   | 11941/17071 [00:00<00:00, 119403.28it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 124086.41it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2006078.77it/s]
Sample 167 completed
Generating sample 168/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13560/17071 [00:00<00:00, 135590.75it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 132477.36it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2032616.92it/s]
Sample 168 completed
Generating sample 169/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13685/17071 [00:00<00:00, 136840.34it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136738.05it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2063666.23it/s]
Sample 169 completed
Generating sample 170/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13799/17071 [00:00<00:00, 137974.34it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137800.16it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2091393.96it/s]
Sample 170 completed
Generating sample 171/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13695/17071 [00:00<00:00, 136945.56it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136610.99it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2045274.33it/s]
Sample 171 completed
Generating sample 172/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13600/17071 [00:00<00:00, 135991.38it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135886.35it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2054429.12it/s]
Sample 172 completed
Generating sample 173/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  44%|████▎     | 7448/17071 [00:00<00:00, 15560.54it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 31082.47it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2046034.11it/s]
Sample 173 completed
Generating sample 174/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13516/17071 [00:00<00:00, 135151.43it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135147.67it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1901247.04it/s]
Sample 174 completed
Generating sample 175/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  77%|███████▋  | 13195/17071 [00:00<00:00, 131936.29it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 132010.35it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2061645.94it/s]
Sample 175 completed
Generating sample 176/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13830/17071 [00:00<00:00, 138292.55it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138263.97it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2137278.40it/s]
Sample 176 completed
Generating sample 177/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13714/17071 [00:00<00:00, 137129.67it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136903.54it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1983571.03it/s]
Sample 177 completed
Generating sample 178/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  70%|███████   | 11987/17071 [00:00<00:00, 119866.11it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 124402.47it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1990242.48it/s]
Sample 178 completed
Generating sample 179/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  77%|███████▋  | 13210/17071 [00:00<00:00, 132093.51it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 127683.07it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1959361.95it/s]
Sample 179 completed
Generating sample 180/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13672/17071 [00:00<00:00, 136709.05it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136724.21it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2128004.39it/s]
Sample 180 completed
Generating sample 181/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13722/17071 [00:00<00:00, 137209.34it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137145.84it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2028068.65it/s]
Sample 181 completed
Generating sample 182/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13720/17071 [00:00<00:00, 137192.61it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137158.71it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2034811.97it/s]
Sample 182 completed
Generating sample 183/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13620/17071 [00:00<00:00, 136196.23it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136239.02it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2039506.75it/s]
Sample 183 completed
Generating sample 184/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13852/17071 [00:00<00:00, 138504.61it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138439.07it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2018293.03it/s]
Sample 184 completed
Generating sample 185/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13272/17071 [00:00<00:00, 132712.22it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 132772.64it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2023311.96it/s]
Sample 185 completed
Generating sample 186/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13804/17071 [00:00<00:00, 138032.23it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138561.23it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2009738.78it/s]
Sample 186 completed
Generating sample 187/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13691/17071 [00:00<00:00, 136904.91it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137186.04it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1953375.08it/s]
Sample 187 completed
Generating sample 188/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13662/17071 [00:00<00:00, 136616.55it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137099.62it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1966033.21it/s]
Sample 188 completed
Generating sample 189/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13463/17071 [00:00<00:00, 134622.75it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134687.77it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1978637.73it/s]
Sample 189 completed
Generating sample 190/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  50%|████▉     | 8524/17071 [00:00<00:00, 17087.31it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 30333.66it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1981101.31it/s]
Sample 190 completed
Generating sample 191/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13829/17071 [00:00<00:00, 138283.54it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137458.37it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2033309.58it/s]
Sample 191 completed
Generating sample 192/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13769/17071 [00:00<00:00, 137685.86it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137475.79it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2036490.33it/s]
Sample 192 completed
Generating sample 193/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13467/17071 [00:00<00:00, 134661.78it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135079.59it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1947583.60it/s]
Sample 193 completed
Generating sample 194/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13378/17071 [00:00<00:00, 133776.30it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134282.61it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2090966.43it/s]
Sample 194 completed
Generating sample 195/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  69%|██████▉   | 11833/17071 [00:00<00:00, 118326.16it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 118155.16it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1992180.62it/s]
Sample 195 completed
Generating sample 196/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  82%|████████▏ | 13922/17071 [00:00<00:00, 139213.16it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138807.29it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2179766.30it/s]
Sample 196 completed
Generating sample 197/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13847/17071 [00:00<00:00, 138466.17it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138371.65it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1943724.07it/s]
Sample 197 completed
Generating sample 198/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▊  | 13439/17071 [00:00<00:00, 134379.56it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134934.75it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1964576.73it/s]
Sample 198 completed
Generating sample 199/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13671/17071 [00:00<00:00, 136700.35it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136552.63it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2112746.05it/s]
Sample 199 completed
Generating sample 200/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13799/17071 [00:00<00:00, 137983.55it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138040.86it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2118935.92it/s]
Sample 200 completed
Generating sample 201/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  77%|███████▋  | 13162/17071 [00:00<00:00, 131614.16it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 131729.60it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2048844.35it/s]
Sample 201 completed
Generating sample 202/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13611/17071 [00:00<00:00, 136104.29it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136138.00it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2132123.27it/s]
Sample 202 completed
Generating sample 203/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13781/17071 [00:00<00:00, 137798.30it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137591.50it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2127941.14it/s]
Sample 203 completed
Generating sample 204/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13634/17071 [00:00<00:00, 136326.48it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136192.38it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2034407.26it/s]
Sample 204 completed
Generating sample 205/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13448/17071 [00:00<00:00, 134474.04it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135017.95it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1961777.73it/s]
Sample 205 completed
Generating sample 206/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  71%|███████   | 12063/17071 [00:00<00:00, 120619.19it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 29488.85it/s] 

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1972478.34it/s]
Sample 206 completed
Generating sample 207/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13495/17071 [00:00<00:00, 134937.58it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135012.09it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1991238.77it/s]
Sample 207 completed
Generating sample 208/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13554/17071 [00:00<00:00, 135532.37it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135380.20it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2040378.54it/s]
Sample 208 completed
Generating sample 209/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▊  | 13442/17071 [00:00<00:00, 134411.80it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134257.93it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1984395.64it/s]
Sample 209 completed
Generating sample 210/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13660/17071 [00:00<00:00, 136596.87it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136021.10it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2015622.66it/s]
Sample 210 completed
Generating sample 211/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13476/17071 [00:00<00:00, 134739.89it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134679.67it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2127498.55it/s]
Sample 211 completed
Generating sample 212/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▊  | 13428/17071 [00:00<00:00, 134272.77it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134457.11it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2088100.43it/s]
Sample 212 completed
Generating sample 213/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13378/17071 [00:00<00:00, 133766.41it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133711.61it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2101954.07it/s]
Sample 213 completed
Generating sample 214/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13516/17071 [00:00<00:00, 135155.62it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135205.85it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2037939.42it/s]
Sample 214 completed
Generating sample 215/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  77%|███████▋  | 13163/17071 [00:00<00:00, 131620.40it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 132042.73it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1916821.86it/s]
Sample 215 completed
Generating sample 216/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13540/17071 [00:00<00:00, 135389.48it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135186.20it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1976507.58it/s]
Sample 216 completed
Generating sample 217/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  77%|███████▋  | 13162/17071 [00:00<00:00, 131616.36it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 131391.66it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1973783.32it/s]
Sample 217 completed
Generating sample 218/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13364/17071 [00:00<00:00, 133628.98it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133911.17it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2049020.25it/s]
Sample 218 completed
Generating sample 219/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13682/17071 [00:00<00:00, 136810.67it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136566.70it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2287059.24it/s]
Sample 219 completed
Generating sample 220/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▊  | 13429/17071 [00:00<00:00, 134284.05it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134299.99it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2076353.20it/s]
Sample 220 completed
Generating sample 221/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13682/17071 [00:00<00:00, 136816.87it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136969.28it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2009005.71it/s]
Sample 221 completed
Generating sample 222/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13629/17071 [00:00<00:00, 136280.06it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135895.89it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2036258.67it/s]
Sample 222 completed
Generating sample 223/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  68%|██████▊   | 11583/17071 [00:00<00:00, 24660.79it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 33479.61it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1994622.49it/s]
Sample 223 completed
Generating sample 224/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  69%|██████▉   | 11768/17071 [00:00<00:00, 117674.50it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 122256.88it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2030081.19it/s]
Sample 224 completed
Generating sample 225/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13522/17071 [00:00<00:00, 135213.68it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 132166.79it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1951618.07it/s]
Sample 225 completed
Generating sample 226/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13673/17071 [00:00<00:00, 136725.89it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136677.49it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2071127.93it/s]
Sample 226 completed
Generating sample 227/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13808/17071 [00:00<00:00, 138068.28it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137961.86it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2058445.37it/s]
Sample 227 completed
Generating sample 228/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13804/17071 [00:00<00:00, 138032.56it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137723.03it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2006416.06it/s]
Sample 228 completed
Generating sample 229/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13651/17071 [00:00<00:00, 136503.95it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136931.82it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2026461.48it/s]
Sample 229 completed
Generating sample 230/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13680/17071 [00:00<00:00, 136789.37it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136784.28it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2145604.37it/s]
Sample 230 completed
Generating sample 231/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▊  | 13429/17071 [00:00<00:00, 134280.20it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134328.71it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2062833.87it/s]
Sample 231 completed
Generating sample 232/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13578/17071 [00:00<00:00, 135771.39it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135514.46it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2014941.99it/s]
Sample 232 completed
Generating sample 233/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13585/17071 [00:00<00:00, 135834.58it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136248.62it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2007935.26it/s]
Sample 233 completed
Generating sample 234/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13743/17071 [00:00<00:00, 137422.27it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137213.91it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1998687.01it/s]
Sample 234 completed
Generating sample 235/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  69%|██████▉   | 11757/17071 [00:00<00:00, 117565.63it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 118374.92it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1963283.89it/s]
Sample 235 completed
Generating sample 236/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13743/17071 [00:00<00:00, 137420.30it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137142.95it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2036779.98it/s]
Sample 236 completed
Generating sample 237/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13797/17071 [00:00<00:00, 137962.57it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138349.73it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2050957.11it/s]
Sample 237 completed
Generating sample 238/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13684/17071 [00:00<00:00, 136835.89it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137144.26it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2060400.09it/s]
Sample 238 completed
Generating sample 239/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13847/17071 [00:00<00:00, 138462.21it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138679.32it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2117619.89it/s]
Sample 239 completed
Generating sample 240/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13645/17071 [00:00<00:00, 136444.27it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136242.91it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2115430.13it/s]
Sample 240 completed
Generating sample 241/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):   1%|▏         | 215/17071 [00:00<00:33, 499.63it/s]
Calculating metrics (sequential):  80%|████████  | 13691/17071 [00:00<00:00, 33961.79it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 30746.92it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2177711.11it/s]
Sample 241 completed
Generating sample 242/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13604/17071 [00:00<00:00, 136029.43it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135622.01it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2031463.53it/s]
Sample 242 completed
Generating sample 243/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13334/17071 [00:00<00:00, 133334.41it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133264.40it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2025486.95it/s]
Sample 243 completed
Generating sample 244/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13367/17071 [00:00<00:00, 133665.35it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133269.61it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2157175.33it/s]
Sample 244 completed
Generating sample 245/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13807/17071 [00:00<00:00, 138066.84it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137736.01it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2060755.90it/s]
Sample 245 completed
Generating sample 246/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13653/17071 [00:00<00:00, 136525.90it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136305.94it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2127372.12it/s]
Sample 246 completed
Generating sample 247/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13693/17071 [00:00<00:00, 136924.58it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136668.36it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1996513.50it/s]
Sample 247 completed
Generating sample 248/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13736/17071 [00:00<00:00, 137353.25it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136914.01it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2030081.19it/s]
Sample 248 completed
Generating sample 249/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13538/17071 [00:00<00:00, 135373.67it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136007.41it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2056021.93it/s]
Sample 249 completed
Generating sample 250/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13320/17071 [00:00<00:00, 133190.60it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133043.52it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2087065.72it/s]
Sample 250 completed
Generating sample 251/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13713/17071 [00:00<00:00, 137118.69it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137141.64it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2051956.31it/s]
Sample 251 completed
Generating sample 252/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  69%|██████▊   | 11734/17071 [00:00<00:00, 117334.80it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 122326.43it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2063666.23it/s]
Sample 252 completed
Generating sample 253/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13740/17071 [00:00<00:00, 137390.96it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137163.44it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2018236.14it/s]
Sample 253 completed
Generating sample 254/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13354/17071 [00:00<00:00, 133532.80it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 129980.80it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2079368.17it/s]
Sample 254 completed
Generating sample 255/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13827/17071 [00:00<00:00, 138264.53it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137994.83it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2060162.96it/s]
Sample 255 completed
Generating sample 256/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13639/17071 [00:00<00:00, 136382.65it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136400.45it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2095004.35it/s]
Sample 256 completed
Generating sample 257/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  60%|█████▉    | 10225/17071 [00:00<00:00, 21045.13it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 31834.83it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2009513.17it/s]
Sample 257 completed
Generating sample 258/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13595/17071 [00:00<00:00, 135939.11it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136446.72it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1987756.13it/s]
Sample 258 completed
Generating sample 259/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13628/17071 [00:00<00:00, 136277.21it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136328.00it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2036779.98it/s]
Sample 259 completed
Generating sample 260/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13598/17071 [00:00<00:00, 135975.92it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 130743.39it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1956043.26it/s]
Sample 260 completed
Generating sample 261/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13512/17071 [00:00<00:00, 135110.46it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135076.79it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1956898.62it/s]
Sample 261 completed
Generating sample 262/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13665/17071 [00:00<00:00, 136644.92it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136681.40it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2111499.96it/s]
Sample 262 completed
Generating sample 263/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13531/17071 [00:00<00:00, 135300.77it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135192.83it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2032443.83it/s]
Sample 263 completed
Generating sample 264/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13573/17071 [00:00<00:00, 135723.01it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135842.78it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2038751.81it/s]
Sample 264 completed
Generating sample 265/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13726/17071 [00:00<00:00, 137252.60it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137087.55it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2025716.17it/s]
Sample 265 completed
Generating sample 266/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  69%|██████▉   | 11822/17071 [00:00<00:00, 118216.17it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 122788.15it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2015963.16it/s]
Sample 266 completed
Generating sample 267/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13522/17071 [00:00<00:00, 135214.65it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 131471.51it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2022169.10it/s]
Sample 267 completed
Generating sample 268/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13532/17071 [00:00<00:00, 135309.16it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135926.85it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2018691.35it/s]
Sample 268 completed
Generating sample 269/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13746/17071 [00:00<00:00, 137446.04it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137439.11it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2082149.69it/s]
Sample 269 completed
Generating sample 270/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13580/17071 [00:00<00:00, 135790.09it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135766.02it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2042532.12it/s]
Sample 270 completed
Generating sample 271/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13752/17071 [00:00<00:00, 137510.62it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137297.32it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2047672.48it/s]
Sample 271 completed
Generating sample 272/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13751/17071 [00:00<00:00, 137505.21it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137515.39it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2140473.04it/s]
Sample 272 completed
Generating sample 273/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13695/17071 [00:00<00:00, 136930.22it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136635.50it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2020571.27it/s]
Sample 273 completed
Generating sample 274/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  42%|████▏     | 7113/17071 [00:00<00:00, 14906.67it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 31021.31it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1801871.39it/s]
Sample 274 completed
Generating sample 275/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  82%|████████▏ | 13944/17071 [00:00<00:00, 138960.73it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 139053.68it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2050722.14it/s]
Sample 275 completed
Generating sample 276/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13665/17071 [00:00<00:00, 136642.96it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136770.96it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2081725.94it/s]
Sample 276 completed
Generating sample 277/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13762/17071 [00:00<00:00, 137608.98it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137271.52it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2001368.62it/s]
Sample 277 completed
Generating sample 278/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13781/17071 [00:00<00:00, 137805.53it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137608.42it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1900994.65it/s]
Sample 278 completed
Generating sample 279/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13866/17071 [00:00<00:00, 138647.24it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138926.06it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1951671.26it/s]
Sample 279 completed
Generating sample 280/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13761/17071 [00:00<00:00, 137599.31it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137581.19it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2048141.07it/s]
Sample 280 completed
Generating sample 281/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13847/17071 [00:00<00:00, 138459.24it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138318.72it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2030196.31it/s]
Sample 281 completed
Generating sample 282/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13702/17071 [00:00<00:00, 137011.31it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136780.89it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2079005.91it/s]
Sample 282 completed
Generating sample 283/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  69%|██████▊   | 11720/17071 [00:00<00:00, 117188.94it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 122097.18it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1971609.31it/s]
Sample 283 completed
Generating sample 284/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13558/17071 [00:00<00:00, 135572.37it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 131796.28it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2032270.76it/s]
Sample 284 completed
Generating sample 285/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13819/17071 [00:00<00:00, 138178.60it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138444.69it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1981978.73it/s]
Sample 285 completed
Generating sample 286/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13685/17071 [00:00<00:00, 136844.91it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137103.04it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2038287.51it/s]
Sample 286 completed
Generating sample 287/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████▏ | 13912/17071 [00:00<00:00, 139111.51it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 139206.42it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1933436.76it/s]
Sample 287 completed
Generating sample 288/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13707/17071 [00:00<00:00, 137064.58it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136770.17it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2042940.07it/s]
Sample 288 completed
Generating sample 289/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  77%|███████▋  | 13135/17071 [00:00<00:00, 131338.85it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 132705.21it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2076232.78it/s]
Sample 289 completed
Generating sample 290/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13592/17071 [00:00<00:00, 135911.38it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135939.50it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2045508.04it/s]
Sample 290 completed
Generating sample 291/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  21%|██▏       | 3645/17071 [00:00<00:01, 7926.37it/s]
Calculating metrics (sequential):  99%|█████████▉| 16907/17071 [00:00<00:00, 37480.73it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 30414.91it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2069810.76it/s]
Sample 291 completed
Generating sample 292/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13698/17071 [00:00<00:00, 136969.35it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136675.40it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2001368.62it/s]
Sample 292 completed
Generating sample 293/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13798/17071 [00:00<00:00, 137973.88it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138313.38it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2040901.96it/s]
Sample 293 completed
Generating sample 294/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  69%|██████▉   | 11751/17071 [00:00<00:00, 117490.22it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 122016.04it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2054959.78it/s]
Sample 294 completed
Generating sample 295/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13593/17071 [00:00<00:00, 135925.92it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 132208.77it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2034522.88it/s]
Sample 295 completed
Generating sample 296/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13785/17071 [00:00<00:00, 137846.84it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137817.40it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2002432.07it/s]
Sample 296 completed
Generating sample 297/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13593/17071 [00:00<00:00, 135917.17it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136054.70it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1882353.53it/s]
Sample 297 completed
Generating sample 298/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13805/17071 [00:00<00:00, 138038.94it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137884.28it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2071367.59it/s]
Sample 298 completed
Generating sample 299/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13792/17071 [00:00<00:00, 137914.21it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137867.82it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2092738.75it/s]
Sample 299 completed
Generating sample 300/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13635/17071 [00:00<00:00, 136338.10it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136429.30it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2040378.54it/s]
Sample 300 completed
Generating sample 301/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13702/17071 [00:00<00:00, 137010.33it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137038.22it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2020172.21it/s]
Sample 301 completed
Generating sample 302/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13638/17071 [00:00<00:00, 136370.70it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136252.25it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2023883.87it/s]
Sample 302 completed
Generating sample 303/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13680/17071 [00:00<00:00, 136789.69it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136752.93it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1974273.13it/s]
Sample 303 completed
Generating sample 304/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13646/17071 [00:00<00:00, 136454.27it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136212.33it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2000473.95it/s]
Sample 304 completed
Generating sample 305/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13769/17071 [00:00<00:00, 137678.97it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138155.65it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1968519.60it/s]
Sample 305 completed
Generating sample 306/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13774/17071 [00:00<00:00, 137734.55it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137969.57it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1989026.16it/s]
Sample 306 completed
Generating sample 307/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  70%|██████▉   | 11945/17071 [00:00<00:00, 119446.98it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 119383.29it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2101645.59it/s]
Sample 307 completed
Generating sample 308/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  25%|██▌       | 4341/17071 [00:00<00:01, 9465.04it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 30856.42it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2031578.81it/s]
Sample 308 completed
Generating sample 309/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13306/17071 [00:00<00:00, 133056.00it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133047.48it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2016530.93it/s]
Sample 309 completed
Generating sample 310/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13365/17071 [00:00<00:00, 133642.80it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133588.12it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2077317.04it/s]
Sample 310 completed
Generating sample 311/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13320/17071 [00:00<00:00, 133193.14it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133575.41it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2030541.76it/s]
Sample 311 completed
Generating sample 312/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13393/17071 [00:00<00:00, 133926.93it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133857.60it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2033540.57it/s]
Sample 312 completed
Generating sample 313/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▊  | 13429/17071 [00:00<00:00, 134277.00it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134299.48it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1993622.82it/s]
Sample 313 completed
Generating sample 314/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13315/17071 [00:00<00:00, 133140.60it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133108.08it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2000306.29it/s]
Sample 314 completed
Generating sample 315/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13481/17071 [00:00<00:00, 134803.06it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134635.35it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1908646.47it/s]
Sample 315 completed
Generating sample 316/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13341/17071 [00:00<00:00, 133398.36it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133636.99it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2017553.71it/s]
Sample 316 completed
Generating sample 317/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13531/17071 [00:00<00:00, 135300.77it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135059.72it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2074127.74it/s]
Sample 317 completed
Generating sample 318/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13321/17071 [00:00<00:00, 133205.36it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133126.64it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2023712.26it/s]
Sample 318 completed
Generating sample 319/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13515/17071 [00:00<00:00, 135142.07it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134921.78it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2061824.04it/s]
Sample 319 completed
Generating sample 320/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13287/17071 [00:00<00:00, 132867.28it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 132612.06it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2011093.55it/s]
Sample 320 completed
Generating sample 321/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13629/17071 [00:00<00:00, 136285.26it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135864.95it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1953268.50it/s]
Sample 321 completed
Generating sample 322/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▊  | 13412/17071 [00:00<00:00, 134111.49it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133716.86it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1978801.78it/s]
Sample 322 completed
Generating sample 323/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13610/17071 [00:00<00:00, 136091.04it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135797.44it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1980827.28it/s]
Sample 323 completed
Generating sample 324/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  77%|███████▋  | 13184/17071 [00:00<00:00, 131829.13it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 35253.99it/s] 

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2019545.43it/s]
Sample 324 completed
Generating sample 325/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13763/17071 [00:00<00:00, 137624.55it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137988.45it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1997181.77it/s]
Sample 325 completed
Generating sample 326/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▊  | 13440/17071 [00:00<00:00, 134393.72it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134128.41it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2051015.86it/s]
Sample 326 completed
Generating sample 327/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13374/17071 [00:00<00:00, 133734.39it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133583.64it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2084938.66it/s]
Sample 327 completed
Generating sample 328/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13334/17071 [00:00<00:00, 133334.41it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133825.57it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1995511.93it/s]
Sample 328 completed
Generating sample 329/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13783/17071 [00:00<00:00, 137826.85it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137912.17it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2046384.97it/s]
Sample 329 completed
Generating sample 330/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▊  | 13402/17071 [00:00<00:00, 134011.82it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134247.36it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1982033.59it/s]
Sample 330 completed
Generating sample 331/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13538/17071 [00:00<00:00, 135375.61it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135162.72it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2077919.89it/s]
Sample 331 completed
Generating sample 332/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13468/17071 [00:00<00:00, 134674.03it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134631.80it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1915591.09it/s]
Sample 332 completed
Generating sample 333/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13537/17071 [00:00<00:00, 135359.48it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135193.09it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1927866.55it/s]
Sample 333 completed
Generating sample 334/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13359/17071 [00:00<00:00, 133583.76it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134078.93it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1930881.93it/s]
Sample 334 completed
Generating sample 335/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13489/17071 [00:00<00:00, 134882.73it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135418.61it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1926880.80it/s]
Sample 335 completed
Generating sample 336/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13370/17071 [00:00<00:00, 133696.30it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133763.82it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2127688.21it/s]
Sample 336 completed
Generating sample 337/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13543/17071 [00:00<00:00, 135420.12it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135498.31it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2119625.92it/s]
Sample 337 completed
Generating sample 338/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13354/17071 [00:00<00:00, 133531.53it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133512.90it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2133584.54it/s]
Sample 338 completed
Generating sample 339/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13494/17071 [00:00<00:00, 134934.66it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134935.76it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1964307.25it/s]
Sample 339 completed
Generating sample 340/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13493/17071 [00:00<00:00, 134926.91it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134989.95it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1990519.13it/s]
Sample 340 completed
Generating sample 341/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13515/17071 [00:00<00:00, 135145.30it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 39031.89it/s] 

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1971555.02it/s]
Sample 341 completed
Generating sample 342/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13608/17071 [00:00<00:00, 136073.32it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135801.04it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2010698.22it/s]
Sample 342 completed
Generating sample 343/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████▏ | 13891/17071 [00:00<00:00, 138900.20it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138793.03it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2116368.04it/s]
Sample 343 completed
Generating sample 344/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13704/17071 [00:00<00:00, 137033.27it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136962.47it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2054723.90it/s]
Sample 344 completed
Generating sample 345/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████▏ | 13881/17071 [00:00<00:00, 138802.52it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138482.98it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2042532.12it/s]
Sample 345 completed
Generating sample 346/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13602/17071 [00:00<00:00, 135959.19it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136416.57it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2000026.92it/s]
Sample 346 completed
Generating sample 347/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13489/17071 [00:00<00:00, 134878.87it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134676.37it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2089258.08it/s]
Sample 347 completed
Generating sample 348/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13711/17071 [00:00<00:00, 137099.67it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136949.10it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2081846.99it/s]
Sample 348 completed
Generating sample 349/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13835/17071 [00:00<00:00, 138338.92it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138083.18it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2016814.93it/s]
Sample 349 completed
Generating sample 350/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13728/17071 [00:00<00:00, 137268.68it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136962.47it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2019545.43it/s]
Sample 350 completed
Generating sample 351/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  82%|████████▏ | 13923/17071 [00:00<00:00, 139219.84it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138937.38it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2006134.98it/s]
Sample 351 completed
Generating sample 352/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13772/17071 [00:00<00:00, 137715.21it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137474.47it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2030772.13it/s]
Sample 352 completed
Generating sample 353/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████▏ | 13873/17071 [00:00<00:00, 138718.89it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 139109.06it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2039622.95it/s]
Sample 353 completed
Generating sample 354/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13662/17071 [00:00<00:00, 136614.92it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136844.41it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2071008.12it/s]
Sample 354 completed
Generating sample 355/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13855/17071 [00:00<00:00, 138544.19it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138627.50it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2001256.74it/s]
Sample 355 completed
Generating sample 356/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13643/17071 [00:00<00:00, 136419.40it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136182.02it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2146762.32it/s]
Sample 356 completed
Generating sample 357/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13777/17071 [00:00<00:00, 137766.19it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137709.26it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2102571.32it/s]
Sample 357 completed
Generating sample 358/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  72%|███████▏  | 12310/17071 [00:00<00:00, 30737.09it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 39206.19it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1987204.45it/s]
Sample 358 completed
Generating sample 359/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13705/17071 [00:00<00:00, 137043.92it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137195.77it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2014828.59it/s]
Sample 359 completed
Generating sample 360/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13821/17071 [00:00<00:00, 137705.84it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137897.83it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2035969.16it/s]
Sample 360 completed
Generating sample 361/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13777/17071 [00:00<00:00, 137760.61it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137727.00it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2061705.31it/s]
Sample 361 completed
Generating sample 362/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13647/17071 [00:00<00:00, 136458.42it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136117.81it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2044748.65it/s]
Sample 362 completed
Generating sample 363/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13779/17071 [00:00<00:00, 137784.88it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137560.57it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2005910.17it/s]
Sample 363 completed
Generating sample 364/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13634/17071 [00:00<00:00, 136332.33it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136547.42it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2140473.04it/s]
Sample 364 completed
Generating sample 365/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13761/17071 [00:00<00:00, 137599.96it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138008.13it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1998017.74it/s]
Sample 365 completed
Generating sample 366/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13680/17071 [00:00<00:00, 136793.93it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136683.75it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2088161.32it/s]
Sample 366 completed
Generating sample 367/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13634/17071 [00:00<00:00, 136334.28it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136406.17it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1942880.19it/s]
Sample 367 completed
Generating sample 368/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13486/17071 [00:00<00:00, 134857.56it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134929.91it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2051662.33it/s]
Sample 368 completed
Generating sample 369/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13540/17071 [00:00<00:00, 135391.41it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135341.05it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2062417.94it/s]
Sample 369 completed
Generating sample 370/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13667/17071 [00:00<00:00, 136659.05it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136602.39it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2034060.50it/s]
Sample 370 completed
Generating sample 371/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████▏ | 13879/17071 [00:00<00:00, 138782.19it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138482.71it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2079911.80it/s]
Sample 371 completed
Generating sample 372/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13531/17071 [00:00<00:00, 135300.45it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135477.80it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1959308.33it/s]
Sample 372 completed
Generating sample 373/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13794/17071 [00:00<00:00, 137936.19it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138300.56it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2069870.59it/s]
Sample 373 completed
Generating sample 374/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13495/17071 [00:00<00:00, 134939.83it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135358.70it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1982362.84it/s]
Sample 374 completed
Generating sample 375/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13303/17071 [00:00<00:00, 32775.68it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 39433.42it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1885327.39it/s]
Sample 375 completed
Generating sample 376/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13726/17071 [00:00<00:00, 137252.60it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137181.05it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2069631.27it/s]
Sample 376 completed
Generating sample 377/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13775/17071 [00:00<00:00, 137744.22it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137575.37it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2006528.52it/s]
Sample 377 completed
Generating sample 378/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13464/17071 [00:00<00:00, 134631.46it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135422.96it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2019773.30it/s]
Sample 378 completed
Generating sample 379/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13390/17071 [00:00<00:00, 133890.87it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134035.76it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2161473.27it/s]
Sample 379 completed
Generating sample 380/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  77%|███████▋  | 13151/17071 [00:00<00:00, 131501.66it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 131596.20it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1997293.19it/s]
Sample 380 completed
Generating sample 381/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13462/17071 [00:00<00:00, 134609.22it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134511.67it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2048141.07it/s]
Sample 381 completed
Generating sample 382/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  77%|███████▋  | 13209/17071 [00:00<00:00, 132085.40it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 132052.72it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1937255.51it/s]
Sample 382 completed
Generating sample 383/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13694/17071 [00:00<00:00, 136931.97it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137328.39it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1963930.10it/s]
Sample 383 completed
Generating sample 384/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13480/17071 [00:00<00:00, 134795.95it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134759.77it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2087126.55it/s]
Sample 384 completed
Generating sample 385/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13582/17071 [00:00<00:00, 135809.77it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135879.90it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1978747.09it/s]
Sample 385 completed
Generating sample 386/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13569/17071 [00:00<00:00, 135679.78it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135589.91it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1948537.63it/s]
Sample 386 completed
Generating sample 387/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13682/17071 [00:00<00:00, 136811.00it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136591.19it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2041076.50it/s]
Sample 387 completed
Generating sample 388/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13549/17071 [00:00<00:00, 135479.15it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135273.80it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1985826.59it/s]
Sample 388 completed
Generating sample 389/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13703/17071 [00:00<00:00, 137017.39it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136841.01it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1988970.90it/s]
Sample 389 completed
Generating sample 390/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13698/17071 [00:00<00:00, 136970.33it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136667.06it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2086457.55it/s]
Sample 390 completed
Generating sample 391/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13687/17071 [00:00<00:00, 136859.69it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136641.50it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1946789.30it/s]
Sample 391 completed
Generating sample 392/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  60%|█████▉    | 10205/17071 [00:00<00:00, 26500.01it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 39183.72it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1962046.52it/s]
Sample 392 completed
Generating sample 393/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  82%|████████▏ | 13921/17071 [00:00<00:00, 139197.19it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138994.83it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2090478.05it/s]
Sample 393 completed
Generating sample 394/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13747/17071 [00:00<00:00, 137459.64it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137127.98it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2007316.05it/s]
Sample 394 completed
Generating sample 395/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████▏ | 13889/17071 [00:00<00:00, 138886.49it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138809.17it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1995901.31it/s]
Sample 395 completed
Generating sample 396/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13736/17071 [00:00<00:00, 137351.29it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136065.04it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2102756.56it/s]
Sample 396 completed
Generating sample 397/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13839/17071 [00:00<00:00, 138384.19it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138409.90it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2173546.34it/s]
Sample 397 completed
Generating sample 398/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13315/17071 [00:00<00:00, 133139.33it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133344.32it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2081423.36it/s]
Sample 398 completed
Generating sample 399/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13769/17071 [00:00<00:00, 137682.58it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137510.37it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2006922.21it/s]
Sample 399 completed
Generating sample 400/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13311/17071 [00:00<00:00, 133103.78it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133057.12it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2000362.17it/s]
Sample 400 completed
Generating sample 401/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13357/17071 [00:00<00:00, 133561.85it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134514.19it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1967545.92it/s]
Sample 401 completed
Generating sample 402/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13765/17071 [00:00<00:00, 137634.71it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136729.69it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1923567.78it/s]
Sample 402 completed
Generating sample 403/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13711/17071 [00:00<00:00, 137099.34it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136873.71it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2071487.45it/s]
Sample 403 completed
Generating sample 404/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13337/17071 [00:00<00:00, 133365.04it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133470.34it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2054664.93it/s]
Sample 404 completed
Generating sample 405/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13767/17071 [00:00<00:00, 137662.25it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137469.71it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2080213.93it/s]
Sample 405 completed
Generating sample 406/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13738/17071 [00:00<00:00, 137374.89it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137279.68it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2074007.58it/s]
Sample 406 completed
Generating sample 407/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  76%|███████▋  | 13031/17071 [00:00<00:00, 130307.64it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 131417.94it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1991183.39it/s]
Sample 407 completed
Generating sample 408/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13738/17071 [00:00<00:00, 137375.22it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136339.68it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2033482.82it/s]
Sample 408 completed
Generating sample 409/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  16%|█▌        | 2661/17071 [00:00<00:01, 8395.11it/s]
Calculating metrics (sequential):  95%|█████████▌| 16244/17071 [00:00<00:00, 47985.76it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 40347.46it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2041949.62it/s]
Sample 409 completed
Generating sample 410/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13629/17071 [00:00<00:00, 136279.73it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135764.22it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1972315.33it/s]
Sample 410 completed
Generating sample 411/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13499/17071 [00:00<00:00, 134978.22it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134743.28it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2010359.49it/s]
Sample 411 completed
Generating sample 412/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13656/17071 [00:00<00:00, 136556.22it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136515.40it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1999580.08it/s]
Sample 412 completed
Generating sample 413/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13770/17071 [00:00<00:00, 137689.30it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137537.58it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1939144.29it/s]
Sample 413 completed
Generating sample 414/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13556/17071 [00:00<00:00, 135548.50it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135947.50it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2002544.08it/s]
Sample 414 completed
Generating sample 415/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13850/17071 [00:00<00:00, 138497.16it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138382.35it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2184288.09it/s]
Sample 415 completed
Generating sample 416/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13621/17071 [00:00<00:00, 136203.31it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136040.48it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2061111.82it/s]
Sample 416 completed
Generating sample 417/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  77%|███████▋  | 13182/17071 [00:00<00:00, 131803.78it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 132801.45it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1992956.93it/s]
Sample 417 completed
Generating sample 418/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▊  | 13404/17071 [00:00<00:00, 134028.30it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133731.09it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2046911.48it/s]
Sample 418 completed
Generating sample 419/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  70%|██████▉   | 11929/17071 [00:00<00:00, 119281.30it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 123997.88it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1925688.87it/s]
Sample 419 completed
Generating sample 420/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▊  | 13439/17071 [00:00<00:00, 134377.95it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 131045.13it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1965439.57it/s]
Sample 420 completed
Generating sample 421/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13855/17071 [00:00<00:00, 138538.24it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138629.64it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1992790.53it/s]
Sample 421 completed
Generating sample 422/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13527/17071 [00:00<00:00, 135266.26it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135164.25it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2131488.56it/s]
Sample 422 completed
Generating sample 423/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13715/17071 [00:00<00:00, 137143.59it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137104.61it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2030196.31it/s]
Sample 423 completed
Generating sample 424/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13661/17071 [00:00<00:00, 136603.62it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136212.33it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2069990.27it/s]
Sample 424 completed
Generating sample 425/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  70%|███████   | 11956/17071 [00:00<00:00, 25337.77it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 33495.85it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2083118.92it/s]
Sample 425 completed
Generating sample 426/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13660/17071 [00:00<00:00, 136580.59it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136281.55it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1915027.51it/s]
Sample 426 completed
Generating sample 427/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13669/17071 [00:00<00:00, 136677.10it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136948.06it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2009851.61it/s]
Sample 427 completed
Generating sample 428/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████▏ | 13904/17071 [00:00<00:00, 139033.50it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138569.01it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2090417.01it/s]
Sample 428 completed
Generating sample 429/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13853/17071 [00:00<00:00, 138524.85it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138263.17it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1983241.38it/s]
Sample 429 completed
Generating sample 430/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▊  | 13433/17071 [00:00<00:00, 134315.40it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134099.27it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1970524.10it/s]
Sample 430 completed
Generating sample 431/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  70%|███████   | 11977/17071 [00:00<00:00, 119759.84it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 119936.82it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2014601.83it/s]
Sample 431 completed
Generating sample 432/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13599/17071 [00:00<00:00, 135980.08it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135690.12it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2036664.11it/s]
Sample 432 completed
Generating sample 433/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████▏ | 13895/17071 [00:00<00:00, 138945.49it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138698.12it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2084938.66it/s]
Sample 433 completed
Generating sample 434/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13854/17071 [00:00<00:00, 138533.86it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138372.72it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2119186.78it/s]
Sample 434 completed
Generating sample 435/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13611/17071 [00:00<00:00, 136100.07it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136092.97it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1786986.21it/s]
Sample 435 completed
Generating sample 436/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13705/17071 [00:00<00:00, 137036.41it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136986.05it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2001088.95it/s]
Sample 436 completed
Generating sample 437/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13622/17071 [00:00<00:00, 136216.23it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136225.03it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1747985.05it/s]
Sample 437 completed
Generating sample 438/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13685/17071 [00:00<00:00, 136832.19it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136814.08it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2015736.14it/s]
Sample 438 completed
Generating sample 439/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13752/17071 [00:00<00:00, 137509.97it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137323.39it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1789755.63it/s]
Sample 439 completed
Generating sample 440/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13575/17071 [00:00<00:00, 135741.39it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135655.93it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2138171.93it/s]
Sample 440 completed
Generating sample 441/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████▏ | 13888/17071 [00:00<00:00, 138871.52it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 139227.00it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2043873.13it/s]
Sample 441 completed
Generating sample 442/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  56%|█████▌    | 9541/17071 [00:00<00:00, 18686.10it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 30127.98it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1781916.37it/s]
Sample 442 completed
Generating sample 443/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13752/17071 [00:00<00:00, 137513.25it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137313.64it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2128826.89it/s]
Sample 443 completed
Generating sample 444/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13630/17071 [00:00<00:00, 136294.61it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136354.74it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1994955.94it/s]
Sample 444 completed
Generating sample 445/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13763/17071 [00:00<00:00, 137619.63it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137366.86it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1991571.08it/s]
Sample 445 completed
Generating sample 446/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13479/17071 [00:00<00:00, 134785.31it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134557.67it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2026977.79it/s]
Sample 446 completed
Generating sample 447/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13396/17071 [00:00<00:00, 133952.46it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133887.88it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2024341.63it/s]
Sample 447 completed
Generating sample 448/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13710/17071 [00:00<00:00, 137095.55it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136927.89it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2070588.88it/s]
Sample 448 completed
Generating sample 449/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13641/17071 [00:00<00:00, 136397.12it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136221.14it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1998017.74it/s]
Sample 449 completed
Generating sample 450/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13688/17071 [00:00<00:00, 136873.60it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136827.67it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2083907.09it/s]
Sample 450 completed
Generating sample 451/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13613/17071 [00:00<00:00, 136120.39it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136407.47it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1958290.17it/s]
Sample 451 completed
Generating sample 452/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13703/17071 [00:00<00:00, 137018.37it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136943.34it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2093901.55it/s]
Sample 452 completed
Generating sample 453/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13741/17071 [00:00<00:00, 137406.86it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137268.36it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1997627.53it/s]
Sample 453 completed
Generating sample 454/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13511/17071 [00:00<00:00, 135100.14it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134860.28it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1978255.06it/s]
Sample 454 completed
Generating sample 455/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13723/17071 [00:00<00:00, 137221.62it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136942.29it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2023826.67it/s]
Sample 455 completed
Generating sample 456/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13556/17071 [00:00<00:00, 135546.88it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135340.28it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2002376.07it/s]
Sample 456 completed
Generating sample 457/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13562/17071 [00:00<00:00, 135617.22it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135309.33it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2047438.27it/s]
Sample 457 completed
Generating sample 458/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13664/17071 [00:00<00:00, 136629.38it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136465.45it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1973184.99it/s]
Sample 458 completed
Generating sample 459/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  14%|█▎        | 2305/17071 [00:00<00:02, 5074.50it/s]
Calculating metrics (sequential):  88%|████████▊ | 15070/17071 [00:00<00:00, 34400.81it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 29952.17it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1996569.17it/s]
Sample 459 completed
Generating sample 460/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13444/17071 [00:00<00:00, 134425.71it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 130589.82it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1940721.08it/s]
Sample 460 completed
Generating sample 461/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13718/17071 [00:00<00:00, 137173.92it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136678.79it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2052544.54it/s]
Sample 461 completed
Generating sample 462/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13615/17071 [00:00<00:00, 136141.37it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135474.46it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2014318.45it/s]
Sample 462 completed
Generating sample 463/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13509/17071 [00:00<00:00, 135079.18it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135014.38it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1893854.67it/s]
Sample 463 completed
Generating sample 464/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13469/17071 [00:00<00:00, 134683.06it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134952.04it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1973674.50it/s]
Sample 464 completed
Generating sample 465/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▊  | 13434/17071 [00:00<00:00, 134331.16it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134399.31it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1938251.90it/s]
Sample 465 completed
Generating sample 466/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13563/17071 [00:00<00:00, 135619.78it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135507.79it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2054664.93it/s]
Sample 466 completed
Generating sample 467/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13672/17071 [00:00<00:00, 136710.35it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136560.71it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2027953.77it/s]
Sample 467 completed
Generating sample 468/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13505/17071 [00:00<00:00, 135045.62it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134751.90it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2088892.36it/s]
Sample 468 completed
Generating sample 469/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13711/17071 [00:00<00:00, 137099.34it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136774.88it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2046560.44it/s]
Sample 469 completed
Generating sample 470/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  70%|██████▉   | 11865/17071 [00:00<00:00, 118637.95it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 123336.38it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1991626.48it/s]
Sample 470 completed
Generating sample 471/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13640/17071 [00:00<00:00, 136396.23it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136836.83it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2065988.50it/s]
Sample 471 completed
Generating sample 472/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13389/17071 [00:00<00:00, 133880.55it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 130543.87it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1892553.16it/s]
Sample 472 completed
Generating sample 473/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13578/17071 [00:00<00:00, 135768.15it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135701.18it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2111126.42it/s]
Sample 473 completed
Generating sample 474/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13542/17071 [00:00<00:00, 135408.51it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135363.56it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2056435.28it/s]
Sample 474 completed
Generating sample 475/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13343/17071 [00:00<00:00, 133417.40it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 29941.04it/s] 

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1956096.70it/s]
Sample 475 completed
Generating sample 476/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13251/17071 [00:00<00:00, 132502.23it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 132409.00it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1955455.64it/s]
Sample 476 completed
Generating sample 477/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13628/17071 [00:00<00:00, 136271.36it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136150.68it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2016190.23it/s]
Sample 477 completed
Generating sample 478/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13395/17071 [00:00<00:00, 133939.91it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133795.06it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2068077.05it/s]
Sample 478 completed
Generating sample 479/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13750/17071 [00:00<00:00, 137484.73it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137463.12it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2106840.18it/s]
Sample 479 completed
Generating sample 480/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13615/17071 [00:00<00:00, 136137.15it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135910.34it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2077075.99it/s]
Sample 480 completed
Generating sample 481/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13821/17071 [00:00<00:00, 138197.94it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137986.32it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1932914.82it/s]
Sample 481 completed
Generating sample 482/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13476/17071 [00:00<00:00, 134314.69it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134569.05it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1752777.57it/s]
Sample 482 completed
Generating sample 483/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  70%|███████   | 11951/17071 [00:00<00:00, 119504.13it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 123784.80it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2120190.80it/s]
Sample 483 completed
Generating sample 484/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13537/17071 [00:00<00:00, 135355.28it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 131645.55it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2059748.10it/s]
Sample 484 completed
Generating sample 485/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13811/17071 [00:00<00:00, 138101.57it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137852.43it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2085060.09it/s]
Sample 485 completed
Generating sample 486/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13757/17071 [00:00<00:00, 137560.29it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137374.24it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2132567.79it/s]
Sample 486 completed
Generating sample 487/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13773/17071 [00:00<00:00, 137726.52it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137621.38it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2233063.98it/s]
Sample 487 completed
Generating sample 488/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  82%|████████▏ | 13952/17071 [00:00<00:00, 139509.49it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 139356.52it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2117933.08it/s]
Sample 488 completed
Generating sample 489/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████▏ | 13912/17071 [00:00<00:00, 139113.17it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138598.78it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1994622.49it/s]
Sample 489 completed
Generating sample 490/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13698/17071 [00:00<00:00, 136976.86it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136740.92it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2050428.51it/s]
Sample 490 completed
Generating sample 491/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13661/17071 [00:00<00:00, 136596.13it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136249.65it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1957273.07it/s]
Sample 491 completed
Generating sample 492/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13639/17071 [00:00<00:00, 136378.42it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 30162.34it/s] 

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1866455.44it/s]
Sample 492 completed
Generating sample 493/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13827/17071 [00:00<00:00, 138257.28it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138009.19it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1967816.29it/s]
Sample 493 completed
Generating sample 494/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13704/17071 [00:00<00:00, 137031.96it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136764.69it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1809110.20it/s]
Sample 494 completed
Generating sample 495/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  77%|███████▋  | 13203/17071 [00:00<00:00, 132018.79it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 131862.30it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1922276.73it/s]
Sample 495 completed
Generating sample 496/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13587/17071 [00:00<00:00, 135863.97it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135861.34it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1930986.07it/s]
Sample 496 completed
Generating sample 497/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13637/17071 [00:00<00:00, 136362.00it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136159.49it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1933436.76it/s]
Sample 497 completed
Generating sample 498/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13742/17071 [00:00<00:00, 137408.01it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137248.63it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1855091.42it/s]
Sample 498 completed
Generating sample 499/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13810/17071 [00:00<00:00, 138093.55it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137851.36it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1855764.55it/s]
Sample 499 completed
Generating sample 500/500 (prompt_gen: full, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13493/17071 [00:00<00:00, 134923.05it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134875.01it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1850775.81it/s]
Sample 500 completed
Completed temperature 2.0
Running with temperature: 2.5
Generating sample 1/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  70%|███████   | 12005/17071 [00:00<00:00, 120046.11it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 124818.42it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1833195.85it/s]
Sample 1 completed
Generating sample 2/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13534/17071 [00:00<00:00, 135334.97it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 131422.28it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1815808.57it/s]
Sample 2 completed
Generating sample 3/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13766/17071 [00:00<00:00, 137648.64it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137968.24it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1956952.10it/s]
Sample 3 completed
Generating sample 4/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13669/17071 [00:00<00:00, 136680.35it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136588.58it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1871431.35it/s]
Sample 4 completed
Generating sample 5/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13643/17071 [00:00<00:00, 136424.28it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136332.67it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2064856.49it/s]
Sample 5 completed
Generating sample 6/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13825/17071 [00:00<00:00, 138240.57it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138033.40it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1868062.40it/s]
Sample 6 completed
Generating sample 7/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▊  | 13415/17071 [00:00<00:00, 134142.77it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134211.63it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1935422.72it/s]
Sample 7 completed
Generating sample 8/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13680/17071 [00:00<00:00, 136787.09it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136589.88it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1839176.07it/s]
Sample 8 completed
Generating sample 9/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  66%|██████▌   | 11285/17071 [00:00<00:00, 21219.41it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 29686.18it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1864996.97it/s]
Sample 9 completed
Generating sample 10/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13642/17071 [00:00<00:00, 136408.42it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136185.38it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1866114.93it/s]
Sample 10 completed
Generating sample 11/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13667/17071 [00:00<00:00, 136663.29it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137061.57it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1777845.85it/s]
Sample 11 completed
Generating sample 12/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  70%|██████▉   | 11880/17071 [00:00<00:00, 118364.67it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 123305.16it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1902358.35it/s]
Sample 12 completed
Generating sample 13/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13349/17071 [00:00<00:00, 133477.72it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 129615.62it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1841257.07it/s]
Sample 13 completed
Generating sample 14/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13735/17071 [00:00<00:00, 137344.89it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137105.40it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1798296.25it/s]
Sample 14 completed
Generating sample 15/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13695/17071 [00:00<00:00, 136939.68it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137188.15it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1802597.21it/s]
Sample 15 completed
Generating sample 16/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13506/17071 [00:00<00:00, 135050.15it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135022.02it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1905345.10it/s]
Sample 16 completed
Generating sample 17/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13622/17071 [00:00<00:00, 136213.63it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136113.93it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1892503.13it/s]
Sample 17 completed
Generating sample 18/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  71%|███████   | 12160/17071 [00:00<00:00, 121591.13it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 107095.53it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 725168.51it/s]
Sample 18 completed
Generating sample 19/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13810/17071 [00:00<00:00, 138087.95it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137856.14it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1838231.72it/s]
Sample 19 completed
Generating sample 20/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13570/17071 [00:00<00:00, 135697.22it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135530.88it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1933854.52it/s]
Sample 20 completed
Generating sample 21/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13730/17071 [00:00<00:00, 137284.42it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136987.88it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1836958.38it/s]
Sample 21 completed
Generating sample 22/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13532/17071 [00:00<00:00, 135313.68it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134983.59it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1636668.27it/s]
Sample 22 completed
Generating sample 23/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▊  | 13421/17071 [00:00<00:00, 134201.17it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134102.79it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1701746.02it/s]
Sample 23 completed
Generating sample 24/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13827/17071 [00:00<00:00, 138261.89it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138609.52it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1702110.10it/s]
Sample 24 completed
Generating sample 25/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13600/17071 [00:00<00:00, 135996.56it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136436.32it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1663900.44it/s]
Sample 25 completed
Generating sample 26/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13837/17071 [00:00<00:00, 138364.85it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138119.14it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1868744.97it/s]
Sample 26 completed
Generating sample 27/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):   1%|▏         | 218/17071 [00:00<00:34, 489.73it/s]
Calculating metrics (sequential):  79%|███████▉  | 13548/17071 [00:00<00:00, 32756.07it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 29876.93it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1916360.13it/s]
Sample 27 completed
Generating sample 28/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13636/17071 [00:00<00:00, 136352.98it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136170.36it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1861312.35it/s]
Sample 28 completed
Generating sample 29/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13817/17071 [00:00<00:00, 138165.85it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137838.10it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1826601.79it/s]
Sample 29 completed
Generating sample 30/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13564/17071 [00:00<00:00, 135629.46it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136031.18it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2058090.36it/s]
Sample 30 completed
Generating sample 31/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13774/17071 [00:00<00:00, 137729.95it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137102.25it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1930569.55it/s]
Sample 31 completed
Generating sample 32/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13647/17071 [00:00<00:00, 136464.92it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136161.56it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1986818.46it/s]
Sample 32 completed
Generating sample 33/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13667/17071 [00:00<00:00, 136664.27it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136490.16it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1927607.04it/s]
Sample 33 completed
Generating sample 34/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13650/17071 [00:00<00:00, 136496.22it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136923.96it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1981375.42it/s]
Sample 34 completed
Generating sample 35/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13775/17071 [00:00<00:00, 137741.26it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137674.30it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2093840.32it/s]
Sample 35 completed
Generating sample 36/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13666/17071 [00:00<00:00, 136652.96it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136527.38it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2004562.38it/s]
Sample 36 completed
Generating sample 37/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13662/17071 [00:00<00:00, 136612.96it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136593.53it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2037591.45it/s]
Sample 37 completed
Generating sample 38/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  69%|██████▉   | 11808/17071 [00:00<00:00, 118076.73it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 118733.55it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1983571.03it/s]
Sample 38 completed
Generating sample 39/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  60%|██████    | 10296/17071 [00:00<00:00, 102954.94it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 102742.83it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1368389.18it/s]
Sample 39 completed
Generating sample 40/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13512/17071 [00:00<00:00, 135113.69it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134991.22it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1997237.48it/s]
Sample 40 completed
Generating sample 41/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  76%|███████▌  | 13015/17071 [00:00<00:00, 130141.13it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 129862.22it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2015963.16it/s]
Sample 41 completed
Generating sample 42/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13671/17071 [00:00<00:00, 136701.33it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136539.61it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1955188.65it/s]
Sample 42 completed
Generating sample 43/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  36%|███▌      | 6091/17071 [00:00<00:00, 14316.06it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 33719.12it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2001984.16it/s]
Sample 43 completed
Generating sample 44/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13710/17071 [00:00<00:00, 137088.36it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137462.06it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1984505.64it/s]
Sample 44 completed
Generating sample 45/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13355/17071 [00:00<00:00, 133542.49it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133666.68it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2014601.83it/s]
Sample 45 completed
Generating sample 46/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13834/17071 [00:00<00:00, 138336.83it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138255.69it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2037939.42it/s]
Sample 46 completed
Generating sample 47/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13632/17071 [00:00<00:00, 136316.23it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136885.48it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2003216.39it/s]
Sample 47 completed
Generating sample 48/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13675/17071 [00:00<00:00, 136743.28it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136610.47it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2026748.29it/s]
Sample 48 completed
Generating sample 49/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  74%|███████▎  | 12583/17071 [00:00<00:00, 125787.53it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 109822.82it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 668081.47it/s]
Sample 49 completed
Generating sample 50/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  69%|██████▉   | 11789/17071 [00:00<00:00, 117879.15it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 122982.81it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2042357.34it/s]
Sample 50 completed
Generating sample 51/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13573/17071 [00:00<00:00, 135726.89it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 131986.51it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2019146.77it/s]
Sample 51 completed
Generating sample 52/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13827/17071 [00:00<00:00, 138266.51it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138087.98it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2008329.51it/s]
Sample 52 completed
Generating sample 53/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13694/17071 [00:00<00:00, 136935.23it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137298.64it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1916360.13it/s]
Sample 53 completed
Generating sample 54/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13705/17071 [00:00<00:00, 137043.92it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137316.28it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1953694.88it/s]
Sample 54 completed
Generating sample 55/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13728/17071 [00:00<00:00, 137274.57it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137044.25it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2046618.94it/s]
Sample 55 completed
Generating sample 56/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13754/17071 [00:00<00:00, 137529.31it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137450.45it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2099735.00it/s]
Sample 56 completed
Generating sample 57/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13574/17071 [00:00<00:00, 135727.19it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135590.17it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2011206.53it/s]
Sample 57 completed
Generating sample 58/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13616/17071 [00:00<00:00, 136147.79it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136282.07it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2030772.13it/s]
Sample 58 completed
Generating sample 59/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13745/17071 [00:00<00:00, 137442.27it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137260.73it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2037707.43it/s]
Sample 59 completed
Generating sample 60/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  17%|█▋        | 2971/17071 [00:00<00:02, 5573.84it/s]
Calculating metrics (sequential):  95%|█████████▌| 16279/17071 [00:00<00:00, 32523.56it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 26710.89it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1861360.74it/s]
Sample 60 completed
Generating sample 61/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  70%|██████▉   | 11912/17071 [00:00<00:00, 119113.30it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 123870.88it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2018520.62it/s]
Sample 61 completed
Generating sample 62/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13584/17071 [00:00<00:00, 135830.74it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 132290.60it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2097889.35it/s]
Sample 62 completed
Generating sample 63/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  77%|███████▋  | 13107/17071 [00:00<00:00, 131060.44it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 131357.43it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2109384.97it/s]
Sample 63 completed
Generating sample 64/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13280/17071 [00:00<00:00, 132796.33it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 132955.57it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1876040.55it/s]
Sample 64 completed
Generating sample 65/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13739/17071 [00:00<00:00, 137385.22it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137702.63it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1960918.10it/s]
Sample 65 completed
Generating sample 66/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13534/17071 [00:00<00:00, 135335.61it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135392.49it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2017667.42it/s]
Sample 66 completed
Generating sample 67/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13612/17071 [00:00<00:00, 136107.80it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136103.84it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2001424.56it/s]
Sample 67 completed
Generating sample 68/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13600/17071 [00:00<00:00, 135988.78it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135854.38it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2024685.09it/s]
Sample 68 completed
Generating sample 69/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13294/17071 [00:00<00:00, 132934.74it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133131.59it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1984560.65it/s]
Sample 69 completed
Generating sample 70/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  52%|█████▏    | 8867/17071 [00:00<00:00, 88663.95it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 90553.21it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 684377.70it/s]
Sample 70 completed
Generating sample 71/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  82%|████████▏ | 13924/17071 [00:00<00:00, 139235.82it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138888.33it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2004899.16it/s]
Sample 71 completed
Generating sample 72/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13713/17071 [00:00<00:00, 137121.96it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137445.17it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1999245.09it/s]
Sample 72 completed
Generating sample 73/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13260/17071 [00:00<00:00, 132596.33it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 132790.86it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1961509.02it/s]
Sample 73 completed
Generating sample 74/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13488/17071 [00:00<00:00, 134875.31it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135228.84it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1962960.95it/s]
Sample 74 completed
Generating sample 75/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13841/17071 [00:00<00:00, 138405.51it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138123.94it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2048492.65it/s]
Sample 75 completed
Generating sample 76/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13733/17071 [00:00<00:00, 137322.27it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137139.27it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2137342.20it/s]
Sample 76 completed
Generating sample 77/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  24%|██▎       | 4020/17071 [00:00<00:01, 8897.20it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 31081.12it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2078100.82it/s]
Sample 77 completed
Generating sample 78/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  68%|██████▊   | 11532/17071 [00:00<00:00, 115310.76it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 115895.17it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1997516.07it/s]
Sample 78 completed
Generating sample 79/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13599/17071 [00:00<00:00, 135980.73it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135655.93it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2008329.51it/s]
Sample 79 completed
Generating sample 80/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13366/17071 [00:00<00:00, 133653.44it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133581.40it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2087491.65it/s]
Sample 80 completed
Generating sample 81/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13661/17071 [00:00<00:00, 136606.22it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136462.59it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1984890.74it/s]
Sample 81 completed
Generating sample 82/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13673/17071 [00:00<00:00, 136724.91it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136346.17it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1936993.47it/s]
Sample 82 completed
Generating sample 83/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13710/17071 [00:00<00:00, 137094.57it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136791.34it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1947742.54it/s]
Sample 83 completed
Generating sample 84/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13646/17071 [00:00<00:00, 136451.02it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136780.89it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1971392.17it/s]
Sample 84 completed
Generating sample 85/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13733/17071 [00:00<00:00, 137316.05it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137230.48it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2062358.53it/s]
Sample 85 completed
Generating sample 86/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13304/17071 [00:00<00:00, 133035.37it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 132987.92it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2020400.23it/s]
Sample 86 completed
Generating sample 87/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13664/17071 [00:00<00:00, 136630.36it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136542.74it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2062774.44it/s]
Sample 87 completed
Generating sample 88/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13620/17071 [00:00<00:00, 136190.71it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136186.94it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2000026.92it/s]
Sample 88 completed
Generating sample 89/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  70%|██████▉   | 11946/17071 [00:00<00:00, 119455.56it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 123883.32it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2032559.22it/s]
Sample 89 completed
Generating sample 90/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13388/17071 [00:00<00:00, 133868.32it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 129555.81it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1880721.90it/s]
Sample 90 completed
Generating sample 91/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  61%|██████    | 10377/17071 [00:00<00:00, 103764.90it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 104186.56it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1302498.79it/s]
Sample 91 completed
Generating sample 92/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13577/17071 [00:00<00:00, 135763.98it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135638.71it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2005348.37it/s]
Sample 92 completed
Generating sample 93/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13657/17071 [00:00<00:00, 136558.08it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136930.25it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1953534.97it/s]
Sample 93 completed
Generating sample 94/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  30%|██▉       | 5049/17071 [00:00<00:01, 10962.52it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 30996.14it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1994400.26it/s]
Sample 94 completed
Generating sample 95/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13812/17071 [00:00<00:00, 138116.18it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137964.25it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2054193.36it/s]
Sample 95 completed
Generating sample 96/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▊  | 13441/17071 [00:00<00:00, 134397.95it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134231.76it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1944093.50it/s]
Sample 96 completed
Generating sample 97/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13333/17071 [00:00<00:00, 133325.36it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133257.21it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2021826.50it/s]
Sample 97 completed
Generating sample 98/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  83%|████████▎ | 14125/17071 [00:00<00:00, 141238.69it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 140904.34it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2492635.81it/s]
Sample 98 completed
Generating sample 99/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  77%|███████▋  | 13207/17071 [00:00<00:00, 132058.16it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 132234.89it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2053486.39it/s]
Sample 99 completed
Generating sample 100/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13272/17071 [00:00<00:00, 132707.79it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 132638.10it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2002544.08it/s]
Sample 100 completed
Generating sample 101/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13346/17071 [00:00<00:00, 133449.63it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133374.37it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2015849.65it/s]
Sample 101 completed
Generating sample 102/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  74%|███████▍  | 12634/17071 [00:00<00:00, 126315.43it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 117869.24it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1714418.24it/s]
Sample 102 completed
Generating sample 103/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13671/17071 [00:00<00:00, 136699.38it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137071.54it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1972369.67it/s]
Sample 103 completed
Generating sample 104/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13483/17071 [00:00<00:00, 134817.27it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134614.59it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2113868.79it/s]
Sample 104 completed
Generating sample 105/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13359/17071 [00:00<00:00, 133576.75it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133681.40it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2028873.19it/s]
Sample 105 completed
Generating sample 106/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13515/17071 [00:00<00:00, 135139.50it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135269.46it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2037417.51it/s]
Sample 106 completed
Generating sample 107/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  69%|██████▉   | 11847/17071 [00:00<00:00, 118462.49it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 118955.08it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2025830.79it/s]
Sample 107 completed
Generating sample 108/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13747/17071 [00:00<00:00, 137465.54it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137243.11it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1994900.36it/s]
Sample 108 completed
Generating sample 109/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13578/17071 [00:00<00:00, 135769.12it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135746.97it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2011489.03it/s]
Sample 109 completed
Generating sample 110/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13788/17071 [00:00<00:00, 137867.31it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 30830.55it/s] 

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1948749.76it/s]
Sample 110 completed
Generating sample 111/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13652/17071 [00:00<00:00, 136513.62it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136839.44it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1970524.10it/s]
Sample 111 completed
Generating sample 112/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13668/17071 [00:00<00:00, 136668.07it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136354.74it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1941405.16it/s]
Sample 112 completed
Generating sample 113/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13494/17071 [00:00<00:00, 134925.65it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135392.74it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1953748.19it/s]
Sample 113 completed
Generating sample 114/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13627/17071 [00:00<00:00, 136256.16it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136047.20it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1932132.43it/s]
Sample 114 completed
Generating sample 115/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13768/17071 [00:00<00:00, 137671.27it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137653.13it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2054900.80it/s]
Sample 115 completed
Generating sample 116/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13735/17071 [00:00<00:00, 137339.98it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137272.58it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2057972.05it/s]
Sample 116 completed
Generating sample 117/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  69%|██████▊   | 11711/17071 [00:00<00:00, 117103.69it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 121625.35it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1975090.02it/s]
Sample 117 completed
Generating sample 118/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13562/17071 [00:00<00:00, 135606.87it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 131868.61it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2036722.05it/s]
Sample 118 completed
Generating sample 119/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13843/17071 [00:00<00:00, 138419.90it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138270.38it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1948908.89it/s]
Sample 119 completed
Generating sample 120/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13744/17071 [00:00<00:00, 137431.61it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137769.40it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2030196.31it/s]
Sample 120 completed
Generating sample 121/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13505/17071 [00:00<00:00, 135046.91it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135321.86it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2028355.91it/s]
Sample 121 completed
Generating sample 122/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13569/17071 [00:00<00:00, 135682.69it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136144.21it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1977927.17it/s]
Sample 122 completed
Generating sample 123/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  51%|█████     | 8729/17071 [00:00<00:00, 87276.56it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 99827.35it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 814230.23it/s]
Sample 123 completed
Generating sample 124/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13303/17071 [00:00<00:00, 133022.83it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133268.87it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2010415.94it/s]
Sample 124 completed
Generating sample 125/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13487/17071 [00:00<00:00, 134859.84it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134768.90it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2054252.29it/s]
Sample 125 completed
Generating sample 126/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13280/17071 [00:00<00:00, 132794.43it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 132955.08it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1988308.12it/s]
Sample 126 completed
Generating sample 127/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  68%|██████▊   | 11603/17071 [00:00<00:00, 22776.35it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 31037.55it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2002488.07it/s]
Sample 127 completed
Generating sample 128/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13639/17071 [00:00<00:00, 136383.63it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136334.23it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1943302.04it/s]
Sample 128 completed
Generating sample 129/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13599/17071 [00:00<00:00, 135569.94it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135945.95it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1940247.77it/s]
Sample 129 completed
Generating sample 130/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13721/17071 [00:00<00:00, 137207.19it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137079.67it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2065154.27it/s]
Sample 130 completed
Generating sample 131/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13662/17071 [00:00<00:00, 136610.03it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136389.02it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2036142.86it/s]
Sample 131 completed
Generating sample 132/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13587/17071 [00:00<00:00, 135866.24it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135823.45it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1916052.44it/s]
Sample 132 completed
Generating sample 133/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13608/17071 [00:00<00:00, 136074.61it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136079.52it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2059866.62it/s]
Sample 133 completed
Generating sample 134/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  59%|█████▉    | 10064/17071 [00:00<00:00, 100629.54it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 101172.60it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1338886.34it/s]
Sample 134 completed
Generating sample 135/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13557/17071 [00:00<00:00, 135557.20it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135648.48it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2046209.52it/s]
Sample 135 completed
Generating sample 136/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13384/17071 [00:00<00:00, 133830.24it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134110.32it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1988639.46it/s]
Sample 136 completed
Generating sample 137/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13815/17071 [00:00<00:00, 138144.20it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138029.41it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2100659.05it/s]
Sample 137 completed
Generating sample 138/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  69%|██████▉   | 11746/17071 [00:00<00:00, 117453.39it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 117994.33it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1942985.63it/s]
Sample 138 completed
Generating sample 139/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13695/17071 [00:00<00:00, 136942.29it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136708.28it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2023026.12it/s]
Sample 139 completed
Generating sample 140/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13715/17071 [00:00<00:00, 137138.03it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136944.91it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2021826.50it/s]
Sample 140 completed
Generating sample 141/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13343/17071 [00:00<00:00, 133422.49it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133730.84it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1988915.66it/s]
Sample 141 completed
Generating sample 142/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13480/17071 [00:00<00:00, 134794.02it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134623.70it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1945202.63it/s]
Sample 142 completed
Generating sample 143/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13567/17071 [00:00<00:00, 135667.22it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135978.22it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1775333.21it/s]
Sample 143 completed
Generating sample 144/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13328/17071 [00:00<00:00, 25174.87it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 30635.53it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2045449.61it/s]
Sample 144 completed
Generating sample 145/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  60%|██████    | 10304/17071 [00:00<00:00, 103027.82it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 102594.88it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1321636.22it/s]
Sample 145 completed
Generating sample 146/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▊  | 13429/17071 [00:00<00:00, 134282.12it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133924.95it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1730495.06it/s]
Sample 146 completed
Generating sample 147/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13560/17071 [00:00<00:00, 135585.26it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136246.54it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1935213.48it/s]
Sample 147 completed
Generating sample 148/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  70%|██████▉   | 11941/17071 [00:00<00:00, 119402.71it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 123483.79it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1899582.51it/s]
Sample 148 completed
Generating sample 149/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  82%|████████▏ | 13914/17071 [00:00<00:00, 139127.86it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138917.97it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2009625.97it/s]
Sample 149 completed
Generating sample 150/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13352/17071 [00:00<00:00, 133505.80it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 129636.74it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1673897.45it/s]
Sample 150 completed
Generating sample 151/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13494/17071 [00:00<00:00, 134930.80it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134877.55it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1980662.89it/s]
Sample 151 completed
Generating sample 152/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13476/17071 [00:00<00:00, 134491.74it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134984.35it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1927918.46it/s]
Sample 152 completed
Generating sample 153/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13833/17071 [00:00<00:00, 138323.87it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138759.67it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1983461.14it/s]
Sample 153 completed
Generating sample 154/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  59%|█████▉    | 10130/17071 [00:00<00:00, 101286.33it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 101522.91it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1088474.84it/s]
Sample 154 completed
Generating sample 155/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13493/17071 [00:00<00:00, 134924.34it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134923.05it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2058149.52it/s]
Sample 155 completed
Generating sample 156/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13593/17071 [00:00<00:00, 135924.94it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135834.53it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1968465.49it/s]
Sample 156 completed
Generating sample 157/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13629/17071 [00:00<00:00, 136279.41it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136454.00it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1977326.33it/s]
Sample 157 completed
Generating sample 158/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13703/17071 [00:00<00:00, 137022.94it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136948.58it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2014658.51it/s]
Sample 158 completed
Generating sample 159/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13743/17071 [00:00<00:00, 137424.23it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137269.68it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2021312.81it/s]
Sample 159 completed
Generating sample 160/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13399/17071 [00:00<00:00, 133980.23it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133934.47it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2003496.66it/s]
Sample 160 completed
Generating sample 161/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  62%|██████▏   | 10566/17071 [00:00<00:00, 21077.74it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 31126.63it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1979841.38it/s]
Sample 161 completed
Generating sample 162/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13691/17071 [00:00<00:00, 136900.34it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137317.33it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1995511.93it/s]
Sample 162 completed
Generating sample 163/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13703/17071 [00:00<00:00, 137022.62it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137028.52it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2018122.37it/s]
Sample 163 completed
Generating sample 164/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13608/17071 [00:00<00:00, 136073.97it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136105.91it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1880968.94it/s]
Sample 164 completed
Generating sample 165/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  69%|██████▉   | 11820/17071 [00:00<00:00, 118195.89it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 123055.95it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1986267.30it/s]
Sample 165 completed
Generating sample 166/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13502/17071 [00:00<00:00, 135014.33it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 131728.63it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2038519.63it/s]
Sample 166 completed
Generating sample 167/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13574/17071 [00:00<00:00, 135733.98it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135619.70it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2045624.92it/s]
Sample 167 completed
Generating sample 168/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13299/17071 [00:00<00:00, 132979.35it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 132778.05it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2114430.61it/s]
Sample 168 completed
Generating sample 169/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13668/17071 [00:00<00:00, 136669.70it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136485.22it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2015792.89it/s]
Sample 169 completed
Generating sample 170/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13731/17071 [00:00<00:00, 137298.35it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137147.68it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2058090.36it/s]
Sample 170 completed
Generating sample 171/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13653/17071 [00:00<00:00, 136525.25it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136465.97it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2029908.53it/s]
Sample 171 completed
Generating sample 172/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▊  | 13436/17071 [00:00<00:00, 134347.32it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134578.41it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1987811.32it/s]
Sample 172 completed
Generating sample 173/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▊  | 13438/17071 [00:00<00:00, 134368.60it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134952.29it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1951884.08it/s]
Sample 173 completed
Generating sample 174/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13750/17071 [00:00<00:00, 137497.18it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137265.47it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2058090.36it/s]
Sample 174 completed
Generating sample 175/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  61%|██████▏   | 10486/17071 [00:00<00:00, 104846.60it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 104783.02it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1302096.12it/s]
Sample 175 completed
Generating sample 176/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13682/17071 [00:00<00:00, 136809.37it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136765.73it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1942353.13it/s]
Sample 176 completed
Generating sample 177/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  70%|███████   | 11964/17071 [00:00<00:00, 119636.69it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 123965.25it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2001984.16it/s]
Sample 177 completed
Generating sample 178/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  44%|████▎     | 7445/17071 [00:00<00:00, 15339.19it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 30756.96it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2094636.62it/s]
Sample 178 completed
Generating sample 179/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  82%|████████▏ | 13916/17071 [00:00<00:00, 139149.85it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138850.90it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2077136.25it/s]
Sample 179 completed
Generating sample 180/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13555/17071 [00:00<00:00, 135547.22it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135889.44it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1998519.65it/s]
Sample 180 completed
Generating sample 181/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13785/17071 [00:00<00:00, 137839.62it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137564.80it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2008104.21it/s]
Sample 181 completed
Generating sample 182/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13736/17071 [00:00<00:00, 137353.58it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137130.87it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1953588.27it/s]
Sample 182 completed
Generating sample 183/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████▏ | 13886/17071 [00:00<00:00, 138853.51it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138495.03it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1984285.66it/s]
Sample 183 completed
Generating sample 184/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13267/17071 [00:00<00:00, 132664.43it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133043.52it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2026920.41it/s]
Sample 184 completed
Generating sample 185/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13580/17071 [00:00<00:00, 135796.24it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135748.52it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2000809.36it/s]
Sample 185 completed
Generating sample 186/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  61%|██████    | 10412/17071 [00:00<00:00, 104107.69it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 104049.84it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1334046.87it/s]
Sample 186 completed
Generating sample 187/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  70%|██████▉   | 11926/17071 [00:00<00:00, 119249.31it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 123736.66it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2001368.62it/s]
Sample 187 completed
Generating sample 188/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  77%|███████▋  | 13149/17071 [00:00<00:00, 131478.21it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 128456.42it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2019374.55it/s]
Sample 188 completed
Generating sample 189/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13724/17071 [00:00<00:00, 137229.99it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137048.71it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1949121.10it/s]
Sample 189 completed
Generating sample 190/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13445/17071 [00:00<00:00, 134442.44it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134289.66it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1896915.26it/s]
Sample 190 completed
Generating sample 191/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13697/17071 [00:00<00:00, 136945.97it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137105.40it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1974926.59it/s]
Sample 191 completed
Generating sample 192/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13748/17071 [00:00<00:00, 137474.23it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137818.73it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1940458.10it/s]
Sample 192 completed
Generating sample 193/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13617/17071 [00:00<00:00, 136163.64it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136348.51it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1996736.21it/s]
Sample 193 completed
Generating sample 194/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13821/17071 [00:00<00:00, 138202.22it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137923.06it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2078885.19it/s]
Sample 194 completed
Generating sample 195/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  50%|████▉     | 8478/17071 [00:00<00:00, 17490.57it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 31060.60it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2048785.73it/s]
Sample 195 completed
Generating sample 196/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  60%|█████▉    | 10159/17071 [00:00<00:00, 101579.44it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 101817.57it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1265034.69it/s]
Sample 196 completed
Generating sample 197/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  67%|██████▋   | 11422/17071 [00:00<00:00, 114213.30it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 118733.95it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1926466.05it/s]
Sample 197 completed
Generating sample 198/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  77%|███████▋  | 13130/17071 [00:00<00:00, 131296.99it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 127748.45it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2109074.31it/s]
Sample 198 completed
Generating sample 199/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▊  | 13441/17071 [00:00<00:00, 134399.55it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134347.87it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1975416.97it/s]
Sample 199 completed
Generating sample 200/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13665/17071 [00:00<00:00, 136639.71it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136616.99it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2027838.90it/s]
Sample 200 completed
Generating sample 201/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13644/17071 [00:00<00:00, 136429.07it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136501.09it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1856149.41it/s]
Sample 201 completed
Generating sample 202/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13628/17071 [00:00<00:00, 136272.98it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136495.10it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1983186.45it/s]
Sample 202 completed
Generating sample 203/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13495/17071 [00:00<00:00, 134946.59it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135154.30it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2133584.54it/s]
Sample 203 completed
Generating sample 204/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13539/17071 [00:00<00:00, 135377.22it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135292.97it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2034176.07it/s]
Sample 204 completed
Generating sample 205/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13652/17071 [00:00<00:00, 136517.20it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136471.69it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2043289.87it/s]
Sample 205 completed
Generating sample 206/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13654/17071 [00:00<00:00, 136531.02it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136303.08it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1851110.74it/s]
Sample 206 completed
Generating sample 207/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13498/17071 [00:00<00:00, 134971.44it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134888.23it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1969385.91it/s]
Sample 207 completed
Generating sample 208/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13445/17071 [00:00<00:00, 134440.51it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134206.85it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1970036.14it/s]
Sample 208 completed
Generating sample 209/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13653/17071 [00:00<00:00, 136520.37it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136484.96it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1791233.17it/s]
Sample 209 completed
Generating sample 210/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13526/17071 [00:00<00:00, 135251.10it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135120.63it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2009400.38it/s]
Sample 210 completed
Generating sample 211/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13671/17071 [00:00<00:00, 136141.13it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136190.31it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1940458.10it/s]
Sample 211 completed
Generating sample 212/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  32%|███▏      | 5393/17071 [00:00<00:00, 11731.18it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 31261.99it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2019431.51it/s]
Sample 212 completed
Generating sample 213/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  69%|██████▉   | 11839/17071 [00:00<00:00, 118386.44it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 122783.52it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2098873.29it/s]
Sample 213 completed
Generating sample 214/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13378/17071 [00:00<00:00, 133775.34it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134132.93it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1908188.67it/s]
Sample 214 completed
Generating sample 215/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13527/17071 [00:00<00:00, 135264.65it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 131695.92it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1948378.56it/s]
Sample 215 completed
Generating sample 216/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  66%|██████▋   | 11333/17071 [00:00<00:00, 113319.84it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 116686.35it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1725573.90it/s]
Sample 216 completed
Generating sample 217/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13596/17071 [00:00<00:00, 135949.11it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136176.32it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2090783.26it/s]
Sample 217 completed
Generating sample 218/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13543/17071 [00:00<00:00, 135425.61it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135682.15it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1982637.30it/s]
Sample 218 completed
Generating sample 219/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13739/17071 [00:00<00:00, 137386.86it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136865.07it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1945308.33it/s]
Sample 219 completed
Generating sample 220/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13648/17071 [00:00<00:00, 136477.53it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136281.81it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1902509.99it/s]
Sample 220 completed
Generating sample 221/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████▏ | 13897/17071 [00:00<00:00, 138959.53it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 139385.01it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1327123.44it/s]
Sample 221 completed
Generating sample 222/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13642/17071 [00:00<00:00, 136408.75it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136577.64it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1989523.57it/s]
Sample 222 completed
Generating sample 223/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13540/17071 [00:00<00:00, 135394.00it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135221.94it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2057853.76it/s]
Sample 223 completed
Generating sample 224/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13754/17071 [00:00<00:00, 137526.36it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137084.92it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2030714.53it/s]
Sample 224 completed
Generating sample 225/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13321/17071 [00:00<00:00, 133205.68it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 132876.37it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2024570.59it/s]
Sample 225 completed
Generating sample 226/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  70%|██████▉   | 11872/17071 [00:00<00:00, 118709.08it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 119033.59it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1921657.64it/s]
Sample 226 completed
Generating sample 227/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  60%|██████    | 10293/17071 [00:00<00:00, 102926.66it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 102981.92it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1239671.80it/s]
Sample 227 completed
Generating sample 228/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13535/17071 [00:00<00:00, 135345.61it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 31201.00it/s] 

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2076714.53it/s]
Sample 228 completed
Generating sample 229/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13830/17071 [00:00<00:00, 138290.24it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137878.97it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2005179.89it/s]
Sample 229 completed
Generating sample 230/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13838/17071 [00:00<00:00, 138368.26it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138035.27it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2068794.09it/s]
Sample 230 completed
Generating sample 231/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13734/17071 [00:00<00:00, 137331.95it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137018.03it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1937989.60it/s]
Sample 231 completed
Generating sample 232/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13867/17071 [00:00<00:00, 138666.16it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138291.21it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1935579.68it/s]
Sample 232 completed
Generating sample 233/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13807/17071 [00:00<00:00, 138063.88it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138266.64it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1952682.55it/s]
Sample 233 completed
Generating sample 234/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13631/17071 [00:00<00:00, 136298.43it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136729.95it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1994344.70it/s]
Sample 234 completed
Generating sample 235/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13858/17071 [00:00<00:00, 138574.52it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138462.90it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2075209.80it/s]
Sample 235 completed
Generating sample 236/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  82%|████████▏ | 13955/17071 [00:00<00:00, 139540.82it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 139413.23it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2075269.94it/s]
Sample 236 completed
Generating sample 237/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13786/17071 [00:00<00:00, 137848.30it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137678.80it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2021883.59it/s]
Sample 237 completed
Generating sample 238/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  60%|██████    | 10244/17071 [00:00<00:00, 102428.62it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 102287.97it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1282252.21it/s]
Sample 238 completed
Generating sample 239/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13763/17071 [00:00<00:00, 137618.32it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137270.21it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1898021.51it/s]
Sample 239 completed
Generating sample 240/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13480/17071 [00:00<00:00, 134791.13it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134664.72it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1958343.73it/s]
Sample 240 completed
Generating sample 241/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13756/17071 [00:00<00:00, 137550.95it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137889.59it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1980334.21it/s]
Sample 241 completed
Generating sample 242/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13797/17071 [00:00<00:00, 137961.91it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138335.56it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1847337.74it/s]
Sample 242 completed
Generating sample 243/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  70%|███████   | 11971/17071 [00:00<00:00, 119696.70it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 124410.47it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1976835.00it/s]
Sample 243 completed
Generating sample 244/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13583/17071 [00:00<00:00, 135819.44it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 132219.27it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2029908.53it/s]
Sample 244 completed
Generating sample 245/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13714/17071 [00:00<00:00, 137129.67it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136925.53it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2031060.15it/s]
Sample 245 completed
Generating sample 246/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  24%|██▎       | 4020/17071 [00:00<00:01, 8916.04it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 31023.11it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2111064.17it/s]
Sample 246 completed
Generating sample 247/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13628/17071 [00:00<00:00, 136269.41it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136024.98it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2091088.57it/s]
Sample 247 completed
Generating sample 248/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  61%|██████    | 10373/17071 [00:00<00:00, 103722.19it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 103769.81it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1226190.87it/s]
Sample 248 completed
Generating sample 249/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  77%|███████▋  | 13175/17071 [00:00<00:00, 131738.82it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 131936.16it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2048141.07it/s]
Sample 249 completed
Generating sample 250/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13807/17071 [00:00<00:00, 138058.61it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137928.11it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1988363.33it/s]
Sample 250 completed
Generating sample 251/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13560/17071 [00:00<00:00, 135588.81it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135413.23it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1948855.84it/s]
Sample 251 completed
Generating sample 252/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▊  | 13405/17071 [00:00<00:00, 134040.86it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133948.00it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1902459.44it/s]
Sample 252 completed
Generating sample 253/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13828/17071 [00:00<00:00, 138267.60it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138592.61it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1942563.92it/s]
Sample 253 completed
Generating sample 254/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13654/17071 [00:00<00:00, 136533.62it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136630.02it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2111126.42it/s]
Sample 254 completed
Generating sample 255/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13806/17071 [00:00<00:00, 138051.90it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137696.81it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1968249.04it/s]
Sample 255 completed
Generating sample 256/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  70%|██████▉   | 11878/17071 [00:00<00:00, 118775.02it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 123554.96it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2068853.87it/s]
Sample 256 completed
Generating sample 257/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13616/17071 [00:00<00:00, 136152.34it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 132508.25it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1948908.89it/s]
Sample 257 completed
Generating sample 258/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13650/17071 [00:00<00:00, 136494.27it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136259.25it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1964145.60it/s]
Sample 258 completed
Generating sample 259/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13847/17071 [00:00<00:00, 138463.86it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138286.13it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1970795.29it/s]
Sample 259 completed
Generating sample 260/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13649/17071 [00:00<00:00, 136483.95it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136305.42it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1910989.74it/s]
Sample 260 completed
Generating sample 261/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13726/17071 [00:00<00:00, 137249.01it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137558.72it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2031636.46it/s]
Sample 261 completed
Generating sample 262/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13685/17071 [00:00<00:00, 136836.10it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137261.26it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1936626.73it/s]
Sample 262 completed
Generating sample 263/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  30%|██▉       | 5055/17071 [00:00<00:01, 11035.74it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 31206.07it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1881018.35it/s]
Sample 263 completed
Generating sample 264/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13524/17071 [00:00<00:00, 135229.81it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135006.49it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1749950.23it/s]
Sample 264 completed
Generating sample 265/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13737/17071 [00:00<00:00, 137358.67it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137107.76it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1997404.62it/s]
Sample 265 completed
Generating sample 266/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  69%|██████▉   | 11824/17071 [00:00<00:00, 118228.27it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 122699.57it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1946418.84it/s]
Sample 266 completed
Generating sample 267/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▊  | 13433/17071 [00:00<00:00, 134326.93it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134188.74it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2039971.61it/s]
Sample 267 completed
Generating sample 268/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  57%|█████▋    | 9736/17071 [00:00<00:00, 97354.06it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 94404.33it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1665332.33it/s]
Sample 268 completed
Generating sample 269/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  60%|█████▉    | 10227/17071 [00:00<00:00, 102259.86it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 101676.31it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1320612.41it/s]
Sample 269 completed
Generating sample 270/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13354/17071 [00:00<00:00, 133528.98it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133423.58it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2007766.35it/s]
Sample 270 completed
Generating sample 271/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13694/17071 [00:00<00:00, 136928.70it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136802.05it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2059274.19it/s]
Sample 271 completed
Generating sample 272/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13621/17071 [00:00<00:00, 136205.58it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136157.41it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2005966.37it/s]
Sample 272 completed
Generating sample 273/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13714/17071 [00:00<00:00, 137136.21it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137527.54it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1977162.52it/s]
Sample 273 completed
Generating sample 274/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13494/17071 [00:00<00:00, 134923.08it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135231.90it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1973239.36it/s]
Sample 274 completed
Generating sample 275/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13574/17071 [00:00<00:00, 135732.36it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135553.46it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1955669.28it/s]
Sample 275 completed
Generating sample 276/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13463/17071 [00:00<00:00, 134622.10it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134496.00it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2046560.44it/s]
Sample 276 completed
Generating sample 277/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13336/17071 [00:00<00:00, 133352.50it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133181.36it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2010246.61it/s]
Sample 277 completed
Generating sample 278/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13710/17071 [00:00<00:00, 137096.86it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136766.78it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2119500.43it/s]
Sample 278 completed
Generating sample 279/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  65%|██████▍   | 11069/17071 [00:00<00:00, 110680.87it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 23856.01it/s] 

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1835263.33it/s]
Sample 279 completed
Generating sample 280/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13728/17071 [00:00<00:00, 137268.35it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137112.22it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1922896.22it/s]
Sample 280 completed
Generating sample 281/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13805/17071 [00:00<00:00, 138044.54it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138245.28it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1989302.46it/s]
Sample 281 completed
Generating sample 282/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13711/17071 [00:00<00:00, 137102.29it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136875.28it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2000977.10it/s]
Sample 282 completed
Generating sample 283/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13656/17071 [00:00<00:00, 136549.06it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136512.54it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2005853.98it/s]
Sample 283 completed
Generating sample 284/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13743/17071 [00:00<00:00, 137427.18it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137284.95it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1923412.76it/s]
Sample 284 completed
Generating sample 285/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▊  | 13426/17071 [00:00<00:00, 134252.77it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134223.96it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1981430.25it/s]
Sample 285 completed
Generating sample 286/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  70%|██████▉   | 11895/17071 [00:00<00:00, 118941.61it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 123749.71it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1954868.36it/s]
Sample 286 completed
Generating sample 287/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13523/17071 [00:00<00:00, 135221.75it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 131752.38it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2017781.14it/s]
Sample 287 completed
Generating sample 288/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13659/17071 [00:00<00:00, 136586.22it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136497.97it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2005179.89it/s]
Sample 288 completed
Generating sample 289/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13730/17071 [00:00<00:00, 137296.53it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137149.26it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2026117.42it/s]
Sample 289 completed
Generating sample 290/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  75%|███████▍  | 12749/17071 [00:00<00:00, 127481.61it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 129705.08it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1913441.04it/s]
Sample 290 completed
Generating sample 291/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13793/17071 [00:00<00:00, 137918.95it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137611.33it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1963983.97it/s]
Sample 291 completed
Generating sample 292/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13652/17071 [00:00<00:00, 136501.58it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136371.62it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1986653.08it/s]
Sample 292 completed
Generating sample 293/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13702/17071 [00:00<00:00, 137011.31it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136744.05it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1997348.91it/s]
Sample 293 completed
Generating sample 294/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13738/17071 [00:00<00:00, 137375.22it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137829.87it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1947053.99it/s]
Sample 294 completed
Generating sample 295/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13373/17071 [00:00<00:00, 133718.01it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134089.73it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1986377.51it/s]
Sample 295 completed
Generating sample 296/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13546/17071 [00:00<00:00, 135452.70it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135911.63it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1993234.33it/s]
Sample 296 completed
Generating sample 297/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  28%|██▊       | 4729/17071 [00:00<00:01, 10011.27it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 30231.84it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1987535.42it/s]
Sample 297 completed
Generating sample 298/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13511/17071 [00:00<00:00, 135104.33it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 130969.63it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1994344.70it/s]
Sample 298 completed
Generating sample 299/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13451/17071 [00:00<00:00, 134504.04it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134535.42it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1748454.58it/s]
Sample 299 completed
Generating sample 300/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  77%|███████▋  | 13175/17071 [00:00<00:00, 131743.84it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 132376.94it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1837335.48it/s]
Sample 300 completed
Generating sample 301/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13625/17071 [00:00<00:00, 136244.61it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136238.25it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1925585.29it/s]
Sample 301 completed
Generating sample 302/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13703/17071 [00:00<00:00, 137027.19it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136897.26it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2052250.38it/s]
Sample 302 completed
Generating sample 303/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13725/17071 [00:00<00:00, 137237.70it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137160.82it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1972369.67it/s]
Sample 303 completed
Generating sample 304/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13528/17071 [00:00<00:00, 135276.90it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135166.80it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1932653.95it/s]
Sample 304 completed
Generating sample 305/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13452/17071 [00:00<00:00, 134514.68it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134896.61it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1920369.15it/s]
Sample 305 completed
Generating sample 306/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13606/17071 [00:00<00:00, 136056.56it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135847.42it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1771467.96it/s]
Sample 306 completed
Generating sample 307/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13703/17071 [00:00<00:00, 137022.94it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136842.58it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2041949.62it/s]
Sample 307 completed
Generating sample 308/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13523/17071 [00:00<00:00, 135222.07it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135291.69it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2013865.21it/s]
Sample 308 completed
Generating sample 309/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13693/17071 [00:00<00:00, 136920.01it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136571.39it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2010811.15it/s]
Sample 309 completed
Generating sample 310/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13578/17071 [00:00<00:00, 135770.09it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135795.89it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1769279.29it/s]
Sample 310 completed
Generating sample 311/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  60%|██████    | 10259/17071 [00:00<00:00, 102576.40it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 102311.21it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1338135.67it/s]
Sample 311 completed
Generating sample 312/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13728/17071 [00:00<00:00, 137264.10it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136966.40it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1982582.41it/s]
Sample 312 completed
Generating sample 313/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13607/17071 [00:00<00:00, 136065.91it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 33072.44it/s] 

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1977435.54it/s]
Sample 313 completed
Generating sample 314/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  70%|███████   | 11954/17071 [00:00<00:00, 119533.84it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 124202.86it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1949068.04it/s]
Sample 314 completed
Generating sample 315/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13462/17071 [00:00<00:00, 134611.78it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 130907.13it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2082876.53it/s]
Sample 315 completed
Generating sample 316/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13776/17071 [00:00<00:00, 137748.97it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137512.75it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1956096.70it/s]
Sample 316 completed
Generating sample 317/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13637/17071 [00:00<00:00, 136363.30it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136802.05it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1865191.30it/s]
Sample 317 completed
Generating sample 318/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13258/17071 [00:00<00:00, 132573.17it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 132543.57it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2017951.74it/s]
Sample 318 completed
Generating sample 319/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13523/17071 [00:00<00:00, 135226.26it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135223.22it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2051309.66it/s]
Sample 319 completed
Generating sample 320/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13688/17071 [00:00<00:00, 136875.24it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136639.67it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1932445.31it/s]
Sample 320 completed
Generating sample 321/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  61%|██████    | 10453/17071 [00:00<00:00, 104513.90it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 104550.00it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1356361.43it/s]
Sample 321 completed
Generating sample 322/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13643/17071 [00:00<00:00, 136417.12it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136258.21it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1997961.98it/s]
Sample 322 completed
Generating sample 323/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13686/17071 [00:00<00:00, 136520.64it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136998.89it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1941773.70it/s]
Sample 323 completed
Generating sample 324/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13695/17071 [00:00<00:00, 136936.09it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137382.41it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1958075.96it/s]
Sample 324 completed
Generating sample 325/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  70%|██████▉   | 11885/17071 [00:00<00:00, 118839.06it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 123652.68it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1969656.79it/s]
Sample 325 completed
Generating sample 326/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13723/17071 [00:00<00:00, 137220.97it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137074.95it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2020856.41it/s]
Sample 326 completed
Generating sample 327/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13319/17071 [00:00<00:00, 133180.28it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 129244.55it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1743473.35it/s]
Sample 327 completed
Generating sample 328/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13731/17071 [00:00<00:00, 137300.31it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137151.88it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2000418.06it/s]
Sample 328 completed
Generating sample 329/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13809/17071 [00:00<00:00, 138085.85it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138011.06it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2041658.50it/s]
Sample 329 completed
Generating sample 330/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  68%|██████▊   | 11613/17071 [00:00<00:00, 22526.66it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 30670.83it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1956310.48it/s]
Sample 330 completed
Generating sample 331/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  60%|█████▉    | 10205/17071 [00:00<00:00, 102043.29it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 100121.46it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1258232.24it/s]
Sample 331 completed
Generating sample 332/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13562/17071 [00:00<00:00, 135617.87it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136231.25it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2015679.40it/s]
Sample 332 completed
Generating sample 333/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▊  | 13411/17071 [00:00<00:00, 134097.66it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133808.82it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1890704.08it/s]
Sample 333 completed
Generating sample 334/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13785/17071 [00:00<00:00, 137844.87it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137608.42it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1966249.17it/s]
Sample 334 completed
Generating sample 335/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13821/17071 [00:00<00:00, 138133.07it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138529.60it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1944463.07it/s]
Sample 335 completed
Generating sample 336/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13804/17071 [00:00<00:00, 138030.59it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138442.55it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1925999.67it/s]
Sample 336 completed
Generating sample 337/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  70%|███████   | 12030/17071 [00:00<00:00, 120292.08it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 124914.23it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1956577.77it/s]
Sample 337 completed
Generating sample 338/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13525/17071 [00:00<00:00, 135242.07it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 131591.36it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2022683.23it/s]
Sample 338 completed
Generating sample 339/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13571/17071 [00:00<00:00, 135702.36it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135667.50it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2031175.39it/s]
Sample 339 completed
Generating sample 340/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13260/17071 [00:00<00:00, 132589.38it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133193.01it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2018748.27it/s]
Sample 340 completed
Generating sample 341/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13709/17071 [00:00<00:00, 137080.00it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 124151.39it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1242101.89it/s]
Sample 341 completed
Generating sample 342/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13684/17071 [00:00<00:00, 136826.76it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136825.32it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1960542.25it/s]
Sample 342 completed
Generating sample 343/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  82%|████████▏ | 13998/17071 [00:00<00:00, 139975.80it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 139641.90it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1966573.20it/s]
Sample 343 completed
Generating sample 344/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13757/17071 [00:00<00:00, 137558.65it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137360.01it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1941299.88it/s]
Sample 344 completed
Generating sample 345/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13770/17071 [00:00<00:00, 137688.64it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138149.26it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2013129.12it/s]
Sample 345 completed
Generating sample 346/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  77%|███████▋  | 13066/17071 [00:00<00:00, 130657.32it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 130462.29it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1744620.35it/s]
Sample 346 completed
Generating sample 347/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13649/17071 [00:00<00:00, 136479.72it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136928.68it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2037069.72it/s]
Sample 347 completed
Generating sample 348/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  28%|██▊       | 4717/17071 [00:00<00:01, 10265.79it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 30975.75it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1763440.23it/s]
Sample 348 completed
Generating sample 349/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  77%|███████▋  | 13209/17071 [00:00<00:00, 132085.40it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 131982.86it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2000418.06it/s]
Sample 349 completed
Generating sample 350/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13481/17071 [00:00<00:00, 134792.45it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134698.42it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2005348.37it/s]
Sample 350 completed
Generating sample 351/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13659/17071 [00:00<00:00, 136577.76it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136371.62it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1984505.64it/s]
Sample 351 completed
Generating sample 352/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  58%|█████▊    | 9943/17071 [00:00<00:00, 99426.06it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 104246.78it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1627368.60it/s]
Sample 352 completed
Generating sample 353/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13634/17071 [00:00<00:00, 136336.88it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136188.49it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2058682.10it/s]
Sample 353 completed
Generating sample 354/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13652/17071 [00:00<00:00, 136515.25it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136361.23it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2057085.17it/s]
Sample 354 completed
Generating sample 355/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13797/17071 [00:00<00:00, 137962.24it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137672.72it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1975307.98it/s]
Sample 355 completed
Generating sample 356/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13456/17071 [00:00<00:00, 134551.47it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134290.67it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1834981.13it/s]
Sample 356 completed
Generating sample 357/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13739/17071 [00:00<00:00, 137384.89it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137225.75it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2075390.25it/s]
Sample 357 completed
Generating sample 358/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13759/17071 [00:00<00:00, 137577.67it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137570.08it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2062417.94it/s]
Sample 358 completed
Generating sample 359/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13589/17071 [00:00<00:00, 135881.71it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135745.95it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1897619.09it/s]
Sample 359 completed
Generating sample 360/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13675/17071 [00:00<00:00, 136741.98it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136663.14it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1957166.07it/s]
Sample 360 completed
Generating sample 361/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13787/17071 [00:00<00:00, 137863.56it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137634.87it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1950289.10it/s]
Sample 361 completed
Generating sample 362/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  69%|██████▉   | 11799/17071 [00:00<00:00, 117986.17it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 122518.38it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1974273.13it/s]
Sample 362 completed
Generating sample 363/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  61%|██████    | 10404/17071 [00:00<00:00, 104032.41it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 98224.52it/s] 

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1230891.59it/s]
Sample 363 completed
Generating sample 364/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13757/17071 [00:00<00:00, 137559.96it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 31059.44it/s] 

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2043056.66it/s]
Sample 364 completed
Generating sample 365/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13544/17071 [00:00<00:00, 135428.18it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135717.90it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2011658.57it/s]
Sample 365 completed
Generating sample 366/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13590/17071 [00:00<00:00, 135894.62it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135906.73it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2010415.94it/s]
Sample 366 completed
Generating sample 367/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13367/17071 [00:00<00:00, 133663.12it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133605.32it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1962154.05it/s]
Sample 367 completed
Generating sample 368/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13476/17071 [00:00<00:00, 134580.44it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135216.83it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1942774.75it/s]
Sample 368 completed
Generating sample 369/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13379/17071 [00:00<00:00, 133785.02it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133679.41it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2065571.30it/s]
Sample 369 completed
Generating sample 370/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13392/17071 [00:00<00:00, 133913.74it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134136.45it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2074788.86it/s]
Sample 370 completed
Generating sample 371/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13538/17071 [00:00<00:00, 135375.29it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135145.88it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1963122.41it/s]
Sample 371 completed
Generating sample 372/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13525/17071 [00:00<00:00, 135246.58it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135376.11it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2009908.03it/s]
Sample 372 completed
Generating sample 373/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13762/17071 [00:00<00:00, 137608.65it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136989.46it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1987811.32it/s]
Sample 373 completed
Generating sample 374/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  51%|█████     | 8707/17071 [00:00<00:00, 87063.65it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 90455.51it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1211583.73it/s]
Sample 374 completed
Generating sample 375/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13347/17071 [00:00<00:00, 132889.06it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 130060.37it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1918465.34it/s]
Sample 375 completed
Generating sample 376/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13640/17071 [00:00<00:00, 136393.63it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136320.21it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1982692.20it/s]
Sample 376 completed
Generating sample 377/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13786/17071 [00:00<00:00, 137848.96it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137666.89it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2055549.73it/s]
Sample 377 completed
Generating sample 378/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13556/17071 [00:00<00:00, 135546.88it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135567.06it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2084574.46it/s]
Sample 378 completed
Generating sample 379/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13728/17071 [00:00<00:00, 137273.91it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137234.16it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2065571.30it/s]
Sample 379 completed
Generating sample 380/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13581/17071 [00:00<00:00, 135805.60it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135615.59it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2082331.35it/s]
Sample 380 completed
Generating sample 381/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13323/17071 [00:00<00:00, 133223.77it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 29817.86it/s] 

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1871431.35it/s]
Sample 381 completed
Generating sample 382/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13542/17071 [00:00<00:00, 135415.29it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135234.20it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1981869.01it/s]
Sample 382 completed
Generating sample 383/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13630/17071 [00:00<00:00, 136294.28it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136225.54it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2082876.53it/s]
Sample 383 completed
Generating sample 384/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13802/17071 [00:00<00:00, 138014.54it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137913.76it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2004113.52it/s]
Sample 384 completed
Generating sample 385/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  52%|█████▏    | 8897/17071 [00:00<00:00, 88958.00it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 89897.99it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1330304.21it/s]
Sample 385 completed
Generating sample 386/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13841/17071 [00:00<00:00, 138405.18it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138130.87it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2028988.17it/s]
Sample 386 completed
Generating sample 387/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13756/17071 [00:00<00:00, 137548.65it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137690.45it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2018634.44it/s]
Sample 387 completed
Generating sample 388/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13686/17071 [00:00<00:00, 136849.04it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136781.15it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2066465.51it/s]
Sample 388 completed
Generating sample 389/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13667/17071 [00:00<00:00, 136663.94it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136487.04it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2065094.70it/s]
Sample 389 completed
Generating sample 390/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13779/17071 [00:00<00:00, 137778.96it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137592.29it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2007259.78it/s]
Sample 390 completed
Generating sample 391/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13823/17071 [00:00<00:00, 138219.92it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137998.29it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1969223.42it/s]
Sample 391 completed
Generating sample 392/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13797/17071 [00:00<00:00, 137955.33it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137703.16it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1929165.12it/s]
Sample 392 completed
Generating sample 393/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▊  | 13408/17071 [00:00<00:00, 134069.90it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134048.05it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1923309.43it/s]
Sample 393 completed
Generating sample 394/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13693/17071 [00:00<00:00, 136924.58it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137140.06it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1926777.09it/s]
Sample 394 completed
Generating sample 395/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  59%|█████▉    | 10102/17071 [00:00<00:00, 101005.41it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 104895.08it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1658274.20it/s]
Sample 395 completed
Generating sample 396/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  70%|███████   | 11986/17071 [00:00<00:00, 119849.54it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 124437.72it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1924498.42it/s]
Sample 396 completed
Generating sample 397/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13750/17071 [00:00<00:00, 137491.28it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137326.28it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1962638.11it/s]
Sample 397 completed
Generating sample 398/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13552/17071 [00:00<00:00, 135516.25it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 30958.94it/s] 

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2089014.25it/s]
Sample 398 completed
Generating sample 399/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13799/17071 [00:00<00:00, 137977.63it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137633.81it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2038925.98it/s]
Sample 399 completed
Generating sample 400/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13770/17071 [00:00<00:00, 137696.19it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137402.44it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1960166.55it/s]
Sample 400 completed
Generating sample 401/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13646/17071 [00:00<00:00, 136447.77it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136781.67it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1952043.72it/s]
Sample 401 completed
Generating sample 402/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13858/17071 [00:00<00:00, 138575.18it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137860.92it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2002992.24it/s]
Sample 402 completed
Generating sample 403/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13825/17071 [00:00<00:00, 138239.91it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138167.12it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2039739.16it/s]
Sample 403 completed
Generating sample 404/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13789/17071 [00:00<00:00, 137879.61it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137724.62it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1995456.32it/s]
Sample 404 completed
Generating sample 405/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13712/17071 [00:00<00:00, 137108.69it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137010.16it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2013412.17it/s]
Sample 405 completed
Generating sample 406/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13809/17071 [00:00<00:00, 138079.27it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138569.82it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1846623.09it/s]
Sample 406 completed
Generating sample 407/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13690/17071 [00:00<00:00, 136888.71it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136989.19it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2102571.32it/s]
Sample 407 completed
Generating sample 408/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  70%|██████▉   | 11905/17071 [00:00<00:00, 119041.32it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 123369.11it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2019659.36it/s]
Sample 408 completed
Generating sample 409/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13590/17071 [00:00<00:00, 135889.76it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 132353.20it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1920832.80it/s]
Sample 409 completed
Generating sample 410/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13459/17071 [00:00<00:00, 134581.46it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134488.67it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1756690.88it/s]
Sample 410 completed
Generating sample 411/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13861/17071 [00:00<00:00, 138601.21it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138246.88it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2064558.80it/s]
Sample 411 completed
Generating sample 412/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13671/17071 [00:00<00:00, 136705.24it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136649.84it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2055903.86it/s]
Sample 412 completed
Generating sample 413/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13702/17071 [00:00<00:00, 137013.60it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136874.49it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1997850.49it/s]
Sample 413 completed
Generating sample 414/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13687/17071 [00:00<00:00, 136859.36it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136737.52it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2021940.69it/s]
Sample 414 completed
Generating sample 415/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13670/17071 [00:00<00:00, 136691.98it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 31211.23it/s] 

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1990961.92it/s]
Sample 415 completed
Generating sample 416/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13778/17071 [00:00<00:00, 137775.86it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138124.47it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1993900.41it/s]
Sample 416 completed
Generating sample 417/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13790/17071 [00:00<00:00, 137892.57it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137778.15it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2065273.40it/s]
Sample 417 completed
Generating sample 418/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13740/17071 [00:00<00:00, 137388.67it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137289.68it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2023655.07it/s]
Sample 418 completed
Generating sample 419/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13709/17071 [00:00<00:00, 137082.61it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137506.94it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1885625.29it/s]
Sample 419 completed
Generating sample 420/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13596/17071 [00:00<00:00, 135955.59it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135722.79it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2057853.76it/s]
Sample 420 completed
Generating sample 421/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  82%|████████▏ | 13969/17071 [00:00<00:00, 139685.80it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 139538.76it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2336693.54it/s]
Sample 421 completed
Generating sample 422/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13709/17071 [00:00<00:00, 137080.65it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136897.26it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1960005.57it/s]
Sample 422 completed
Generating sample 423/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13735/17071 [00:00<00:00, 137341.94it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136973.73it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1992679.61it/s]
Sample 423 completed
Generating sample 424/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13634/17071 [00:00<00:00, 136325.50it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136186.94it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2027436.96it/s]
Sample 424 completed
Generating sample 425/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13774/17071 [00:00<00:00, 137728.64it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137910.57it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2008442.18it/s]
Sample 425 completed
Generating sample 426/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  70%|███████   | 12021/17071 [00:00<00:00, 120206.68it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 120481.32it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1978473.71it/s]
Sample 426 completed
Generating sample 427/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13748/17071 [00:00<00:00, 137474.89it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137846.32it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1960488.57it/s]
Sample 427 completed
Generating sample 428/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13753/17071 [00:00<00:00, 137521.93it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137222.85it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2067897.87it/s]
Sample 428 completed
Generating sample 429/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13623/17071 [00:00<00:00, 136221.36it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135945.95it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2115992.78it/s]
Sample 429 completed
Generating sample 430/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  82%|████████▏ | 13942/17071 [00:00<00:00, 139410.83it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 139264.37it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2120630.36it/s]
Sample 430 completed
Generating sample 431/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13830/17071 [00:00<00:00, 138294.86it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137991.37it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2038925.98it/s]
Sample 431 completed
Generating sample 432/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13821/17071 [00:00<00:00, 138202.22it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 33320.57it/s] 

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1984505.64it/s]
Sample 432 completed
Generating sample 433/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13841/17071 [00:00<00:00, 138398.91it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138154.05it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1997739.00it/s]
Sample 433 completed
Generating sample 434/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13599/17071 [00:00<00:00, 135986.89it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136449.84it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2053957.65it/s]
Sample 434 completed
Generating sample 435/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13797/17071 [00:00<00:00, 137964.54it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137573.78it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2016076.69it/s]
Sample 435 completed
Generating sample 436/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13870/17071 [00:00<00:00, 138688.23it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138435.59it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1987756.13it/s]
Sample 436 completed
Generating sample 437/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  82%|████████▏ | 13917/17071 [00:00<00:00, 139156.20it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138879.71it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1927451.37it/s]
Sample 437 completed
Generating sample 438/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  70%|██████▉   | 11936/17071 [00:00<00:00, 119349.02it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 124111.80it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1914771.45it/s]
Sample 438 completed
Generating sample 439/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13503/17071 [00:00<00:00, 135015.97it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 131332.61it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2021198.69it/s]
Sample 439 completed
Generating sample 440/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13630/17071 [00:00<00:00, 136291.03it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136035.31it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2046618.94it/s]
Sample 440 completed
Generating sample 441/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13755/17071 [00:00<00:00, 137547.18it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137500.34it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2056435.28it/s]
Sample 441 completed
Generating sample 442/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13570/17071 [00:00<00:00, 135690.10it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135719.70it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2055549.73it/s]
Sample 442 completed
Generating sample 443/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  82%|████████▏ | 13916/17071 [00:00<00:00, 139149.85it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137782.39it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1992901.46it/s]
Sample 443 completed
Generating sample 444/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13712/17071 [00:00<00:00, 137110.00it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136947.01it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1920472.16it/s]
Sample 444 completed
Generating sample 445/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13720/17071 [00:00<00:00, 137190.65it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137593.61it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1988087.29it/s]
Sample 445 completed
Generating sample 446/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13598/17071 [00:00<00:00, 135960.36it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136507.07it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1992624.15it/s]
Sample 446 completed
Generating sample 447/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13663/17071 [00:00<00:00, 136624.59it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136916.63it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2190971.96it/s]
Sample 447 completed
Generating sample 448/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13667/17071 [00:00<00:00, 136658.08it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136528.94it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2043406.49it/s]
Sample 448 completed
Generating sample 449/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  70%|██████▉   | 11874/17071 [00:00<00:00, 118735.58it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 122925.81it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2092738.75it/s]
Sample 449 completed
Generating sample 450/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  23%|██▎       | 4004/17071 [00:00<00:01, 8711.77it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 30585.14it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2049900.19it/s]
Sample 450 completed
Generating sample 451/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13546/17071 [00:00<00:00, 135453.02it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135540.12it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2009569.56it/s]
Sample 451 completed
Generating sample 452/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13605/17071 [00:00<00:00, 135689.09it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136044.10it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2029275.69it/s]
Sample 452 completed
Generating sample 453/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13570/17071 [00:00<00:00, 135693.98it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135534.73it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2030829.72it/s]
Sample 453 completed
Generating sample 454/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13753/17071 [00:00<00:00, 137523.57it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137342.88it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2006416.06it/s]
Sample 454 completed
Generating sample 455/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▊  | 13424/17071 [00:00<00:00, 134230.21it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134279.08it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2010077.30it/s]
Sample 455 completed
Generating sample 456/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13473/17071 [00:00<00:00, 134725.95it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134633.83it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2024742.35it/s]
Sample 456 completed
Generating sample 457/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13388/17071 [00:00<00:00, 133873.74it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134304.77it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1964145.60it/s]
Sample 457 completed
Generating sample 458/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13726/17071 [00:00<00:00, 137250.64it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137118.00it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2101768.97it/s]
Sample 458 completed
Generating sample 459/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13583/17071 [00:00<00:00, 135821.39it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135637.17it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2070828.42it/s]
Sample 459 completed
Generating sample 460/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  68%|██████▊   | 11552/17071 [00:00<00:00, 115517.36it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 120533.65it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1978091.10it/s]
Sample 460 completed
Generating sample 461/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13459/17071 [00:00<00:00, 134585.64it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 130840.15it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1974000.98it/s]
Sample 461 completed
Generating sample 462/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13748/17071 [00:00<00:00, 137471.28it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137416.68it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2047262.64it/s]
Sample 462 completed
Generating sample 463/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13719/17071 [00:00<00:00, 137184.57it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137089.39it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1960112.89it/s]
Sample 463 completed
Generating sample 464/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13799/17071 [00:00<00:00, 137981.91it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137761.72it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2016303.78it/s]
Sample 464 completed
Generating sample 465/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13707/17071 [00:00<00:00, 137060.98it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137444.65it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1985496.19it/s]
Sample 465 completed
Generating sample 466/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13794/17071 [00:00<00:00, 137933.88it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138358.28it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2093840.32it/s]
Sample 466 completed
Generating sample 467/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  30%|██▉       | 5076/17071 [00:00<00:01, 10427.13it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 29528.98it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1909766.45it/s]
Sample 467 completed
Generating sample 468/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13829/17071 [00:00<00:00, 138283.21it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138140.19it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2031578.81it/s]
Sample 468 completed
Generating sample 469/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13325/17071 [00:00<00:00, 133239.96it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133131.34it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1931506.98it/s]
Sample 469 completed
Generating sample 470/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13716/17071 [00:00<00:00, 137152.94it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136965.61it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2048199.66it/s]
Sample 470 completed
Generating sample 471/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13484/17071 [00:00<00:00, 134829.52it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134413.44it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1990408.46it/s]
Sample 471 completed
Generating sample 472/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  82%|████████▏ | 13915/17071 [00:00<00:00, 139145.82it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138961.65it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2136831.91it/s]
Sample 472 completed
Generating sample 473/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13330/17071 [00:00<00:00, 133295.04it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133246.05it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2020172.21it/s]
Sample 473 completed
Generating sample 474/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13779/17071 [00:00<00:00, 137783.89it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137436.99it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2008273.18it/s]
Sample 474 completed
Generating sample 475/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13821/17071 [00:00<00:00, 138067.60it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138375.39it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1981978.73it/s]
Sample 475 completed
Generating sample 476/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13759/17071 [00:00<00:00, 137583.90it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137914.03it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2102077.49it/s]
Sample 476 completed
Generating sample 477/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13530/17071 [00:00<00:00, 135286.26it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135097.18it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2085545.95it/s]
Sample 477 completed
Generating sample 478/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13745/17071 [00:00<00:00, 137438.66it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137293.11it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2055785.80it/s]
Sample 478 completed
Generating sample 479/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  70%|███████   | 11970/17071 [00:00<00:00, 119299.35it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 124053.52it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1943513.03it/s]
Sample 479 completed
Generating sample 480/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13514/17071 [00:00<00:00, 135130.46it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 131652.57it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2001816.25it/s]
Sample 480 completed
Generating sample 481/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████▏ | 13882/17071 [00:00<00:00, 138811.53it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138668.31it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2040378.54it/s]
Sample 481 completed
Generating sample 482/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13821/17071 [00:00<00:00, 138206.18it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138070.14it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2052897.63it/s]
Sample 482 completed
Generating sample 483/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13799/17071 [00:00<00:00, 137974.01it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 30710.84it/s] 

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1968844.38it/s]
Sample 483 completed
Generating sample 484/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13516/17071 [00:00<00:00, 135149.17it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135075.00it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1978364.38it/s]
Sample 484 completed
Generating sample 485/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13622/17071 [00:00<00:00, 136214.28it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135946.21it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1981156.13it/s]
Sample 485 completed
Generating sample 486/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13765/17071 [00:00<00:00, 137641.27it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137322.33it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1812132.10it/s]
Sample 486 completed
Generating sample 487/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13783/17071 [00:00<00:00, 137826.85it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138110.88it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2023712.26it/s]
Sample 487 completed
Generating sample 488/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13659/17071 [00:00<00:00, 136585.57it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137030.35it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2020514.25it/s]
Sample 488 completed
Generating sample 489/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13587/17071 [00:00<00:00, 135865.27it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135780.70it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2061705.31it/s]
Sample 489 completed
Generating sample 490/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13780/17071 [00:00<00:00, 137788.30it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137717.20it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2212774.70it/s]
Sample 490 completed
Generating sample 491/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13676/17071 [00:00<00:00, 136751.98it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136620.38it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2021255.75it/s]
Sample 491 completed
Generating sample 492/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13847/17071 [00:00<00:00, 138460.23it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138393.58it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2017383.17it/s]
Sample 492 completed
Generating sample 493/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13576/17071 [00:00<00:00, 135750.10it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135727.93it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1953641.57it/s]
Sample 493 completed
Generating sample 494/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  70%|██████▉   | 11912/17071 [00:00<00:00, 119112.73it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 123973.83it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1932080.29it/s]
Sample 494 completed
Generating sample 495/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13268/17071 [00:00<00:00, 132672.53it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 128878.38it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2039681.05it/s]
Sample 495 completed
Generating sample 496/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13800/17071 [00:00<00:00, 137995.20it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138284.53it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1889805.84it/s]
Sample 496 completed
Generating sample 497/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13579/17071 [00:00<00:00, 135780.09it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136362.27it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1929841.08it/s]
Sample 497 completed
Generating sample 498/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13784/17071 [00:00<00:00, 137834.22it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137783.46it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2159126.82it/s]
Sample 498 completed
Generating sample 499/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13868/17071 [00:00<00:00, 138670.54it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138550.78it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2270595.66it/s]
Sample 499 completed
Generating sample 500/500 (prompt_gen: full, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13769/17071 [00:00<00:00, 137678.64it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 30867.14it/s] 

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2011432.52it/s]
Sample 500 completed
Completed temperature 2.5
Running with temperature: 3.0
Generating sample 1/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13361/17071 [00:00<00:00, 133597.71it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 132742.85it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2000138.66it/s]
Sample 1 completed
Generating sample 2/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13327/17071 [00:00<00:00, 133263.14it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133935.72it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1911091.75it/s]
Sample 2 completed
Generating sample 3/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13380/17071 [00:00<00:00, 133791.52it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 132904.98it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1976180.27it/s]
Sample 3 completed
Generating sample 4/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13710/17071 [00:00<00:00, 137090.65it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136745.88it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2025544.25it/s]
Sample 4 completed
Generating sample 5/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13652/17071 [00:00<00:00, 136512.32it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135819.59it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2013525.41it/s]
Sample 5 completed
Generating sample 6/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13461/17071 [00:00<00:00, 134600.18it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134774.23it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2041134.68it/s]
Sample 6 completed
Generating sample 7/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13508/17071 [00:00<00:00, 135070.79it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135984.16it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1989191.93it/s]
Sample 7 completed
Generating sample 8/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13636/17071 [00:00<00:00, 136352.98it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136255.10it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2067062.09it/s]
Sample 8 completed
Generating sample 9/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  70%|██████▉   | 11913/17071 [00:00<00:00, 119120.46it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 119617.44it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2027264.75it/s]
Sample 9 completed
Generating sample 10/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13767/17071 [00:00<00:00, 137666.52it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137441.74it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1971337.89it/s]
Sample 10 completed
Generating sample 11/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13399/17071 [00:00<00:00, 133984.70it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133853.09it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1972206.68it/s]
Sample 11 completed
Generating sample 12/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13632/17071 [00:00<00:00, 136316.88it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135934.85it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1999133.45it/s]
Sample 12 completed
Generating sample 13/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13725/17071 [00:00<00:00, 137242.61it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137264.15it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1968790.24it/s]
Sample 13 completed
Generating sample 14/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13721/17071 [00:00<00:00, 137205.88it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136875.28it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1969602.61it/s]
Sample 14 completed
Generating sample 15/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13517/17071 [00:00<00:00, 135160.14it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134986.89it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1996569.17it/s]
Sample 15 completed
Generating sample 16/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13594/17071 [00:00<00:00, 135931.70it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136315.02it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2004562.38it/s]
Sample 16 completed
Generating sample 17/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13690/17071 [00:00<00:00, 136893.28it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137316.01it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2013298.94it/s]
Sample 17 completed
Generating sample 18/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  52%|█████▏    | 8841/17071 [00:00<00:00, 17452.20it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 30108.85it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1941984.37it/s]
Sample 18 completed
Generating sample 19/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  70%|██████▉   | 11918/17071 [00:00<00:00, 119170.17it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 123942.72it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1981375.42it/s]
Sample 19 completed
Generating sample 20/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▊  | 13436/17071 [00:00<00:00, 134356.60it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 130507.47it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1989413.01it/s]
Sample 20 completed
Generating sample 21/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13663/17071 [00:00<00:00, 136619.38it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136283.37it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2017155.84it/s]
Sample 21 completed
Generating sample 22/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13397/17071 [00:00<00:00, 133965.66it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133792.31it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2007766.35it/s]
Sample 22 completed
Generating sample 23/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13655/17071 [00:00<00:00, 136547.20it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136397.08it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1999412.57it/s]
Sample 23 completed
Generating sample 24/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13669/17071 [00:00<00:00, 136686.22it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136393.96it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1977872.53it/s]
Sample 24 completed
Generating sample 25/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13659/17071 [00:00<00:00, 136577.43it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137123.52it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1991349.53it/s]
Sample 25 completed
Generating sample 26/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  77%|███████▋  | 13222/17071 [00:00<00:00, 132210.98it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 132612.55it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2096353.79it/s]
Sample 26 completed
Generating sample 27/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13498/17071 [00:00<00:00, 134970.47it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134925.08it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1967870.37it/s]
Sample 27 completed
Generating sample 28/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13393/17071 [00:00<00:00, 133918.63it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134168.62it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2031924.73it/s]
Sample 28 completed
Generating sample 29/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13645/17071 [00:00<00:00, 136445.90it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136276.88it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1994511.37it/s]
Sample 29 completed
Generating sample 30/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13699/17071 [00:00<00:00, 136987.52it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136856.18it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2046268.00it/s]
Sample 30 completed
Generating sample 31/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13507/17071 [00:00<00:00, 135066.91it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135104.57it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1941984.37it/s]
Sample 31 completed
Generating sample 32/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13743/17071 [00:00<00:00, 137418.01it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137389.79it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2035390.40it/s]
Sample 32 completed
Generating sample 33/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13620/17071 [00:00<00:00, 136189.41it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136005.34it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2016985.37it/s]
Sample 33 completed
Generating sample 34/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▊  | 13435/17071 [00:00<00:00, 134341.16it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 31068.19it/s] 

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1918002.83it/s]
Sample 34 completed
Generating sample 35/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13662/17071 [00:00<00:00, 136602.22it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137243.63it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1978309.72it/s]
Sample 35 completed
Generating sample 36/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  69%|██████▉   | 11847/17071 [00:00<00:00, 118460.51it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 118406.83it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1970036.14it/s]
Sample 36 completed
Generating sample 37/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13782/17071 [00:00<00:00, 137810.93it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137460.74it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2020856.41it/s]
Sample 37 completed
Generating sample 38/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13566/17071 [00:00<00:00, 135648.81it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135379.18it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1943249.30it/s]
Sample 38 completed
Generating sample 39/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13717/17071 [00:00<00:00, 137163.59it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137565.85it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1919339.59it/s]
Sample 39 completed
Generating sample 40/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13741/17071 [00:00<00:00, 137400.63it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137145.05it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2153282.92it/s]
Sample 40 completed
Generating sample 41/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13852/17071 [00:00<00:00, 138508.24it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138282.66it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2156785.46it/s]
Sample 41 completed
Generating sample 42/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13730/17071 [00:00<00:00, 137293.26it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137164.76it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2047731.04it/s]
Sample 42 completed
Generating sample 43/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13722/17071 [00:00<00:00, 137216.86it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136934.44it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1991737.28it/s]
Sample 43 completed
Generating sample 44/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13458/17071 [00:00<00:00, 134568.90it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134559.70it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1972587.02it/s]
Sample 44 completed
Generating sample 45/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13769/17071 [00:00<00:00, 137685.86it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138105.29it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1895459.00it/s]
Sample 45 completed
Generating sample 46/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13662/17071 [00:00<00:00, 136609.38it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137010.69it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2025830.79it/s]
Sample 46 completed
Generating sample 47/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13515/17071 [00:00<00:00, 135136.60it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135642.31it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1966087.20it/s]
Sample 47 completed
Generating sample 48/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  70%|███████   | 11987/17071 [00:00<00:00, 119859.54it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 119657.22it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1999747.62it/s]
Sample 48 completed
Generating sample 49/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13721/17071 [00:00<00:00, 137201.63it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137071.54it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2056258.11it/s]
Sample 49 completed
Generating sample 50/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13599/17071 [00:00<00:00, 135984.29it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135979.25it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2056848.80it/s]
Sample 50 completed
Generating sample 51/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13698/17071 [00:00<00:00, 136975.23it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 29788.12it/s] 

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1862668.15it/s]
Sample 51 completed
Generating sample 52/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13472/17071 [00:00<00:00, 134713.06it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133615.80it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1945731.23it/s]
Sample 52 completed
Generating sample 53/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▊  | 13422/17071 [00:00<00:00, 134210.53it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134527.34it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2035390.40it/s]
Sample 53 completed
Generating sample 54/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13481/17071 [00:00<00:00, 134805.63it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134648.77it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2028355.91it/s]
Sample 54 completed
Generating sample 55/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13305/17071 [00:00<00:00, 133040.93it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 132789.13it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2040727.46it/s]
Sample 55 completed
Generating sample 56/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13599/17071 [00:00<00:00, 135982.35it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135406.57it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1954228.11it/s]
Sample 56 completed
Generating sample 57/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13655/17071 [00:00<00:00, 136541.34it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136786.11it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1986873.59it/s]
Sample 57 completed
Generating sample 58/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13484/17071 [00:00<00:00, 134831.77it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134754.19it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2084635.15it/s]
Sample 58 completed
Generating sample 59/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13687/17071 [00:00<00:00, 136860.02it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136903.80it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2088648.63it/s]
Sample 59 completed
Generating sample 60/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13670/17071 [00:00<00:00, 136688.72it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136599.00it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2052309.21it/s]
Sample 60 completed
Generating sample 61/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13696/17071 [00:00<00:00, 136950.01it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136932.34it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1994455.81it/s]
Sample 61 completed
Generating sample 62/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13614/17071 [00:00<00:00, 136129.74it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133050.44it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1964522.83it/s]
Sample 62 completed
Generating sample 63/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13731/17071 [00:00<00:00, 137298.02it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137264.94it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2016417.35it/s]
Sample 63 completed
Generating sample 64/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  68%|██████▊   | 11691/17071 [00:00<00:00, 116902.59it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 117353.43it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1960220.21it/s]
Sample 64 completed
Generating sample 65/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13810/17071 [00:00<00:00, 138094.21it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138412.04it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2074548.40it/s]
Sample 65 completed
Generating sample 66/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13749/17071 [00:00<00:00, 137482.26it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137858.27it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1983406.19it/s]
Sample 66 completed
Generating sample 67/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13689/17071 [00:00<00:00, 136881.32it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136806.24it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1996680.52it/s]
Sample 67 completed
Generating sample 68/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13626/17071 [00:00<00:00, 136254.93it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136018.52it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2074488.30it/s]
Sample 68 completed
Generating sample 69/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  24%|██▎       | 4026/17071 [00:00<00:01, 8754.92it/s]
Calculating metrics (sequential):  99%|█████████▉| 16957/17071 [00:00<00:00, 37328.93it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 30435.90it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2059096.53it/s]
Sample 69 completed
Generating sample 70/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▊  | 13416/17071 [00:00<00:00, 134146.06it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133926.95it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1996903.27it/s]
Sample 70 completed
Generating sample 71/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13811/17071 [00:00<00:00, 138102.56it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137968.51it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2018236.14it/s]
Sample 71 completed
Generating sample 72/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13700/17071 [00:00<00:00, 136992.95it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134134.19it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2125099.09it/s]
Sample 72 completed
Generating sample 73/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  69%|██████▉   | 11830/17071 [00:00<00:00, 118295.32it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 123353.81it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2198236.63it/s]
Sample 73 completed
Generating sample 74/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13789/17071 [00:00<00:00, 137879.28it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135855.67it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1434946.56it/s]
Sample 74 completed
Generating sample 75/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13511/17071 [00:00<00:00, 135097.89it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133692.14it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1966357.17it/s]
Sample 75 completed
Generating sample 76/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13572/17071 [00:00<00:00, 135712.69it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135489.85it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1956096.70it/s]
Sample 76 completed
Generating sample 77/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13641/17071 [00:00<00:00, 136406.55it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136930.51it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1926258.74it/s]
Sample 77 completed
Generating sample 78/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13250/17071 [00:00<00:00, 132495.07it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 132364.94it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2015565.92it/s]
Sample 78 completed
Generating sample 79/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13667/17071 [00:00<00:00, 136660.68it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136645.93it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2042066.10it/s]
Sample 79 completed
Generating sample 80/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13505/17071 [00:00<00:00, 135045.30it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135128.03it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1959737.34it/s]
Sample 80 completed
Generating sample 81/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13551/17071 [00:00<00:00, 135504.96it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134820.67it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1984615.65it/s]
Sample 81 completed
Generating sample 82/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13594/17071 [00:00<00:00, 135931.70it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135600.69it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1956577.77it/s]
Sample 82 completed
Generating sample 83/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13450/17071 [00:00<00:00, 134490.19it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134500.55it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1994733.63it/s]
Sample 83 completed
Generating sample 84/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13674/17071 [00:00<00:00, 136735.57it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136477.67it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1970252.98it/s]
Sample 84 completed
Generating sample 85/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13645/17071 [00:00<00:00, 136443.95it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 29698.43it/s] 

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1835545.62it/s]
Sample 85 completed
Generating sample 86/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13707/17071 [00:00<00:00, 137064.25it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137278.37it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1977490.16it/s]
Sample 86 completed
Generating sample 87/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13612/17071 [00:00<00:00, 136113.64it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135928.91it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1977053.34it/s]
Sample 87 completed
Generating sample 88/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13723/17071 [00:00<00:00, 137219.01it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136833.16it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2030023.63it/s]
Sample 88 completed
Generating sample 89/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13299/17071 [00:00<00:00, 132980.30it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133775.57it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2009738.78it/s]
Sample 89 completed
Generating sample 90/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13628/17071 [00:00<00:00, 136276.56it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136141.88it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2086153.59it/s]
Sample 90 completed
Generating sample 91/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  68%|██████▊   | 11547/17071 [00:00<00:00, 115466.26it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 119999.34it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2021598.16it/s]
Sample 91 completed
Generating sample 92/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13253/17071 [00:00<00:00, 132518.44it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 128809.76it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1996624.85it/s]
Sample 92 completed
Generating sample 93/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13537/17071 [00:00<00:00, 135359.80it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135164.51it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2002936.21it/s]
Sample 93 completed
Generating sample 94/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13481/17071 [00:00<00:00, 134805.31it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134647.25it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2005404.54it/s]
Sample 94 completed
Generating sample 95/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▊  | 13442/17071 [00:00<00:00, 134409.87it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134307.29it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2169857.68it/s]
Sample 95 completed
Generating sample 96/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13232/17071 [00:00<00:00, 132314.45it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 132369.35it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2010924.10it/s]
Sample 96 completed
Generating sample 97/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13700/17071 [00:00<00:00, 136996.21it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137348.68it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2064916.04it/s]
Sample 97 completed
Generating sample 98/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13390/17071 [00:00<00:00, 133890.23it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134050.56it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2114180.87it/s]
Sample 98 completed
Generating sample 99/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▊  | 13404/17071 [00:00<00:00, 134027.67it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134082.69it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2076654.30it/s]
Sample 99 completed
Generating sample 100/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13328/17071 [00:00<00:00, 133276.00it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133459.14it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2029160.68it/s]
Sample 100 completed
Generating sample 101/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13453/17071 [00:00<00:00, 134517.62it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134389.47it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1959147.50it/s]
Sample 101 completed
Generating sample 102/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  67%|██████▋   | 11487/17071 [00:00<00:00, 114863.54it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 28801.35it/s] 

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1868403.62it/s]
Sample 102 completed
Generating sample 103/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13455/17071 [00:00<00:00, 134542.43it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 130982.32it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1943724.07it/s]
Sample 103 completed
Generating sample 104/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13286/17071 [00:00<00:00, 132849.36it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133411.65it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1913441.04it/s]
Sample 104 completed
Generating sample 105/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13776/17071 [00:00<00:00, 137756.19it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137464.44it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2055962.89it/s]
Sample 105 completed
Generating sample 106/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13783/17071 [00:00<00:00, 137822.25it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137679.86it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1958397.30it/s]
Sample 106 completed
Generating sample 107/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13708/17071 [00:00<00:00, 137070.00it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136802.31it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2022397.57it/s]
Sample 107 completed
Generating sample 108/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13466/17071 [00:00<00:00, 134649.21it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134981.04it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2004955.30it/s]
Sample 108 completed
Generating sample 109/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13675/17071 [00:00<00:00, 136740.68it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136673.06it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2022169.10it/s]
Sample 109 completed
Generating sample 110/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13346/17071 [00:00<00:00, 133454.40it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133433.03it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1951884.08it/s]
Sample 110 completed
Generating sample 111/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13820/17071 [00:00<00:00, 138190.58it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137849.77it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2004562.38it/s]
Sample 111 completed
Generating sample 112/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13608/17071 [00:00<00:00, 136070.07it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135814.18it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1946365.93it/s]
Sample 112 completed
Generating sample 113/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13728/17071 [00:00<00:00, 137267.69it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137034.03it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1959469.19it/s]
Sample 113 completed
Generating sample 114/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  70%|███████   | 11963/17071 [00:00<00:00, 119625.27it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 124169.05it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2003552.72it/s]
Sample 114 completed
Generating sample 115/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13538/17071 [00:00<00:00, 135367.54it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 131679.69it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1980991.69it/s]
Sample 115 completed
Generating sample 116/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13551/17071 [00:00<00:00, 135505.28it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135891.25it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1932184.57it/s]
Sample 116 completed
Generating sample 117/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13508/17071 [00:00<00:00, 135073.69it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135465.49it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1910123.08it/s]
Sample 117 completed
Generating sample 118/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13540/17071 [00:00<00:00, 135388.19it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135193.60it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1984450.64it/s]
Sample 118 completed
Generating sample 119/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13708/17071 [00:00<00:00, 137070.33it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136849.90it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2027838.90it/s]
Sample 119 completed
Generating sample 120/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  24%|██▎       | 4019/17071 [00:00<00:01, 8731.10it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 30713.52it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2037417.51it/s]
Sample 120 completed
Generating sample 121/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13304/17071 [00:00<00:00, 133029.98it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133204.90it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2051074.61it/s]
Sample 121 completed
Generating sample 122/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13455/17071 [00:00<00:00, 134542.43it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134274.30it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1995400.71it/s]
Sample 122 completed
Generating sample 123/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  77%|███████▋  | 13201/17071 [00:00<00:00, 132006.03it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 131797.98it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2106282.39it/s]
Sample 123 completed
Generating sample 124/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13693/17071 [00:00<00:00, 136925.56it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136462.59it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2038519.63it/s]
Sample 124 completed
Generating sample 125/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13391/17071 [00:00<00:00, 133902.47it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133814.57it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2007484.89it/s]
Sample 125 completed
Generating sample 126/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  77%|███████▋  | 13196/17071 [00:00<00:00, 131955.09it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 132314.31it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1950767.32it/s]
Sample 126 completed
Generating sample 127/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13620/17071 [00:00<00:00, 136191.36it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135929.95it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1923516.11it/s]
Sample 127 completed
Generating sample 128/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13567/17071 [00:00<00:00, 135657.84it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136098.67it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1936469.60it/s]
Sample 128 completed
Generating sample 129/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13576/17071 [00:00<00:00, 135753.33it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135711.73it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2168543.33it/s]
Sample 129 completed
Generating sample 130/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13846/17071 [00:00<00:00, 138455.51it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138278.65it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2222114.19it/s]
Sample 130 completed
Generating sample 131/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  68%|██████▊   | 11592/17071 [00:00<00:00, 115910.16it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 120237.32it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2016587.72it/s]
Sample 131 completed
Generating sample 132/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13540/17071 [00:00<00:00, 135396.58it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 131660.32it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1982527.51it/s]
Sample 132 completed
Generating sample 133/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13546/17071 [00:00<00:00, 135454.32it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135194.11it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2040204.12it/s]
Sample 133 completed
Generating sample 134/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▊  | 13438/17071 [00:00<00:00, 134374.04it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134180.44it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2023540.68it/s]
Sample 134 completed
Generating sample 135/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13683/17071 [00:00<00:00, 136820.02it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136495.88it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1931142.31it/s]
Sample 135 completed
Generating sample 136/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13649/17071 [00:00<00:00, 136477.44it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 30674.46it/s] 

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1864268.59it/s]
Sample 136 completed
Generating sample 137/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13748/17071 [00:00<00:00, 137463.42it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137488.46it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2019032.90it/s]
Sample 137 completed
Generating sample 138/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13606/17071 [00:00<00:00, 136050.72it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136041.26it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1900036.18it/s]
Sample 138 completed
Generating sample 139/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13248/17071 [00:00<00:00, 132469.07it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 132519.77it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1967437.79it/s]
Sample 139 completed
Generating sample 140/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13497/17071 [00:00<00:00, 134964.66it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134912.88it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2042066.10it/s]
Sample 140 completed
Generating sample 141/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13667/17071 [00:00<00:00, 136662.31it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136711.68it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2076774.77it/s]
Sample 141 completed
Generating sample 142/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  70%|██████▉   | 11894/17071 [00:00<00:00, 118931.32it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 119340.91it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1950979.93it/s]
Sample 142 completed
Generating sample 143/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  82%|████████▏ | 13913/17071 [00:00<00:00, 139120.18it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138864.36it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2038925.98it/s]
Sample 143 completed
Generating sample 144/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13639/17071 [00:00<00:00, 136386.23it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136226.84it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2005067.59it/s]
Sample 144 completed
Generating sample 145/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13686/17071 [00:00<00:00, 136384.09it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136948.58it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1971663.60it/s]
Sample 145 completed
Generating sample 146/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13504/17071 [00:00<00:00, 135030.79it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135423.73it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1965925.25it/s]
Sample 146 completed
Generating sample 147/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████▏ | 13909/17071 [00:00<00:00, 139081.51it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 139347.84it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2145732.97it/s]
Sample 147 completed
Generating sample 148/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13645/17071 [00:00<00:00, 136436.47it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136136.96it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2129080.09it/s]
Sample 148 completed
Generating sample 149/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13695/17071 [00:00<00:00, 136939.36it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136818.78it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2014885.29it/s]
Sample 149 completed
Generating sample 150/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13580/17071 [00:00<00:00, 135783.30it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135676.75it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2023597.87it/s]
Sample 150 completed
Generating sample 151/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13732/17071 [00:00<00:00, 137310.96it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137271.52it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1969765.16it/s]
Sample 151 completed
Generating sample 152/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  70%|██████▉   | 11883/17071 [00:00<00:00, 118820.48it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 123602.31it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1967762.21it/s]
Sample 152 completed
Generating sample 153/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  66%|██████▋   | 11319/17071 [00:00<00:00, 21936.27it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 30571.32it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1959576.44it/s]
Sample 153 completed
Generating sample 154/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████▏ | 13900/17071 [00:00<00:00, 138986.22it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138567.94it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2123523.45it/s]
Sample 154 completed
Generating sample 155/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13646/17071 [00:00<00:00, 136453.30it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136732.30it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2045624.92it/s]
Sample 155 completed
Generating sample 156/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13608/17071 [00:00<00:00, 136069.10it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136064.78it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2353204.84it/s]
Sample 156 completed
Generating sample 157/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▊  | 13404/17071 [00:00<00:00, 134036.29it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133899.65it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1995233.90it/s]
Sample 157 completed
Generating sample 158/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13549/17071 [00:00<00:00, 135479.79it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135270.22it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1963822.37it/s]
Sample 158 completed
Generating sample 159/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▊  | 13442/17071 [00:00<00:00, 134410.51it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134115.09it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1992624.15it/s]
Sample 159 completed
Generating sample 160/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13478/17071 [00:00<00:00, 134771.77it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134988.68it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1980608.10it/s]
Sample 160 completed
Generating sample 161/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  77%|███████▋  | 13107/17071 [00:00<00:00, 131062.63it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 131040.10it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2100289.33it/s]
Sample 161 completed
Generating sample 162/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13447/17071 [00:00<00:00, 134462.11it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134528.60it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1952416.32it/s]
Sample 162 completed
Generating sample 163/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13795/17071 [00:00<00:00, 137939.28it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137712.43it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1954014.78it/s]
Sample 163 completed
Generating sample 164/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▊  | 13422/17071 [00:00<00:00, 134215.33it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134077.92it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2011432.52it/s]
Sample 164 completed
Generating sample 165/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13510/17071 [00:00<00:00, 135092.08it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135121.14it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2013525.41it/s]
Sample 165 completed
Generating sample 166/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13673/17071 [00:00<00:00, 136719.05it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136612.82it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2003104.31it/s]
Sample 166 completed
Generating sample 167/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13332/17071 [00:00<00:00, 133307.41it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133444.72it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1945519.76it/s]
Sample 167 completed
Generating sample 168/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13658/17071 [00:00<00:00, 136569.39it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136972.95it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1939722.15it/s]
Sample 168 completed
Generating sample 169/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  77%|███████▋  | 13183/17071 [00:00<00:00, 131821.01it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 132421.74it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1897066.04it/s]
Sample 169 completed
Generating sample 170/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  68%|██████▊   | 11553/17071 [00:00<00:00, 115518.82it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 115749.60it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1987369.92it/s]
Sample 170 completed
Generating sample 171/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):   1%|▏         | 216/17071 [00:00<00:33, 502.16it/s]
Calculating metrics (sequential):  81%|████████  | 13828/17071 [00:00<00:00, 34312.98it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 30823.66it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2059807.36it/s]
Sample 171 completed
Generating sample 172/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13677/17071 [00:00<00:00, 136761.00it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136324.88it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2086579.15it/s]
Sample 172 completed
Generating sample 173/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13265/17071 [00:00<00:00, 132640.64it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133027.95it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2095126.95it/s]
Sample 173 completed
Generating sample 174/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13321/17071 [00:00<00:00, 133206.00it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134106.55it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2130854.22it/s]
Sample 174 completed
Generating sample 175/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13641/17071 [00:00<00:00, 136400.05it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135972.28it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2068256.26it/s]
Sample 175 completed
Generating sample 176/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▊  | 13440/17071 [00:00<00:00, 134395.96it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134604.22it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1926051.48it/s]
Sample 176 completed
Generating sample 177/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13308/17071 [00:00<00:00, 133073.78it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 132894.87it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1934795.14it/s]
Sample 177 completed
Generating sample 178/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13253/17071 [00:00<00:00, 132162.40it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 131955.86it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1902206.73it/s]
Sample 178 completed
Generating sample 179/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  76%|███████▌  | 13002/17071 [00:00<00:00, 130013.61it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 130771.57it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2034811.97it/s]
Sample 179 completed
Generating sample 180/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13493/17071 [00:00<00:00, 134921.77it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135500.87it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2109882.24it/s]
Sample 180 completed
Generating sample 181/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  69%|██████▉   | 11819/17071 [00:00<00:00, 118186.45it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 117947.48it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2025945.44it/s]
Sample 181 completed
Generating sample 182/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  75%|███████▌  | 12827/17071 [00:00<00:00, 128260.03it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 128317.60it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2015849.65it/s]
Sample 182 completed
Generating sample 183/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13668/17071 [00:00<00:00, 136669.38it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135934.33it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2004506.26it/s]
Sample 183 completed
Generating sample 184/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13526/17071 [00:00<00:00, 135251.74it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135731.28it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2008892.98it/s]
Sample 184 completed
Generating sample 185/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13490/17071 [00:00<00:00, 134897.56it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135267.16it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1993067.88it/s]
Sample 185 completed
Generating sample 186/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13761/17071 [00:00<00:00, 137604.55it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137530.45it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1995901.31it/s]
Sample 186 completed
Generating sample 187/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  56%|█████▌    | 9541/17071 [00:00<00:00, 18948.56it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 30511.09it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1930934.00it/s]
Sample 187 completed
Generating sample 188/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13785/17071 [00:00<00:00, 137840.60it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137564.53it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2081544.38it/s]
Sample 188 completed
Generating sample 189/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13302/17071 [00:00<00:00, 133009.34it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 132956.31it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2041134.68it/s]
Sample 189 completed
Generating sample 190/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13496/17071 [00:00<00:00, 134951.12it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134690.56it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1964145.60it/s]
Sample 190 completed
Generating sample 191/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13810/17071 [00:00<00:00, 138096.84it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138305.10it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2007541.18it/s]
Sample 191 completed
Generating sample 192/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  82%|████████▏ | 14042/17071 [00:00<00:00, 140409.42it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 140201.06it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2418379.56it/s]
Sample 192 completed
Generating sample 193/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  82%|████████▏ | 14030/17071 [00:00<00:00, 140290.43it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 139821.60it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2193791.40it/s]
Sample 193 completed
Generating sample 194/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13539/17071 [00:00<00:00, 135381.41it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135302.17it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1979020.55it/s]
Sample 194 completed
Generating sample 195/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████▏ | 13885/17071 [00:00<00:00, 138847.15it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138493.43it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1973021.87it/s]
Sample 195 completed
Generating sample 196/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13525/17071 [00:00<00:00, 135240.46it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135106.61it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2000529.84it/s]
Sample 196 completed
Generating sample 197/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13763/17071 [00:00<00:00, 137621.60it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137934.49it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1987369.92it/s]
Sample 197 completed
Generating sample 198/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  71%|███████   | 12047/17071 [00:00<00:00, 120458.63it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 124843.01it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2073346.95it/s]
Sample 198 completed
Generating sample 199/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13362/17071 [00:00<00:00, 133611.53it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 130059.19it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2072266.83it/s]
Sample 199 completed
Generating sample 200/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13680/17071 [00:00<00:00, 136788.06it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136816.17it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1932549.62it/s]
Sample 200 completed
Generating sample 201/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13770/17071 [00:00<00:00, 137691.60it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137744.49it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2103930.52it/s]
Sample 201 completed
Generating sample 202/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13777/17071 [00:00<00:00, 137762.58it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137712.70it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1978692.41it/s]
Sample 202 completed
Generating sample 203/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13749/17071 [00:00<00:00, 137482.92it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137251.52it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1983461.14it/s]
Sample 203 completed
Generating sample 204/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  15%|█▌        | 2634/17071 [00:00<00:02, 5737.35it/s]
Calculating metrics (sequential):  94%|█████████▍| 16100/17071 [00:00<00:00, 36332.86it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 30144.77it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1993511.81it/s]
Sample 204 completed
Generating sample 205/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13613/17071 [00:00<00:00, 136118.77it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136118.07it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1963230.06it/s]
Sample 205 completed
Generating sample 206/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13239/17071 [00:00<00:00, 132380.97it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 132366.41it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2072866.76it/s]
Sample 206 completed
Generating sample 207/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13588/17071 [00:00<00:00, 135869.76it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135729.22it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2113619.19it/s]
Sample 207 completed
Generating sample 208/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13777/17071 [00:00<00:00, 137761.59it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137568.76it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1975635.00it/s]
Sample 208 completed
Generating sample 209/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  70%|██████▉   | 11866/17071 [00:00<00:00, 118645.40it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 123144.84it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1953588.27it/s]
Sample 209 completed
Generating sample 210/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13676/17071 [00:00<00:00, 136752.31it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136331.37it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1994344.70it/s]
Sample 210 completed
Generating sample 211/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13395/17071 [00:00<00:00, 133943.10it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 130003.22it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2017440.02it/s]
Sample 211 completed
Generating sample 212/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13282/17071 [00:00<00:00, 132811.89it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 132965.94it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1940931.51it/s]
Sample 212 completed
Generating sample 213/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13702/17071 [00:00<00:00, 137014.58it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136892.03it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1924808.83it/s]
Sample 213 completed
Generating sample 214/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13688/17071 [00:00<00:00, 136868.38it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136563.31it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1934272.46it/s]
Sample 214 completed
Generating sample 215/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13689/17071 [00:00<00:00, 136768.50it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137049.24it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1904331.59it/s]
Sample 215 completed
Generating sample 216/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13596/17071 [00:00<00:00, 135947.49it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136596.14it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1986708.20it/s]
Sample 216 completed
Generating sample 217/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13457/17071 [00:00<00:00, 134559.54it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134866.38it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2051721.12it/s]
Sample 217 completed
Generating sample 218/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13785/17071 [00:00<00:00, 137847.50it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137390.32it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2108080.78it/s]
Sample 218 completed
Generating sample 219/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13663/17071 [00:00<00:00, 136625.57it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136549.77it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2027953.77it/s]
Sample 219 completed
Generating sample 220/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13445/17071 [00:00<00:00, 134440.19it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 29939.16it/s] 

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1914976.29it/s]
Sample 220 completed
Generating sample 221/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13319/17071 [00:00<00:00, 133181.87it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133273.83it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1935684.34it/s]
Sample 221 completed
Generating sample 222/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13547/17071 [00:00<00:00, 135456.89it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136009.47it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1899935.35it/s]
Sample 222 completed
Generating sample 223/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13727/17071 [00:00<00:00, 137261.29it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136815.65it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1983790.86it/s]
Sample 223 completed
Generating sample 224/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13710/17071 [00:00<00:00, 137091.96it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136764.69it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2007372.33it/s]
Sample 224 completed
Generating sample 225/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13498/17071 [00:00<00:00, 134973.69it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134991.73it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1924550.14it/s]
Sample 225 completed
Generating sample 226/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13555/17071 [00:00<00:00, 135540.76it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135559.62it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1940458.10it/s]
Sample 226 completed
Generating sample 227/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13498/17071 [00:00<00:00, 134976.91it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134714.89it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1999747.62it/s]
Sample 227 completed
Generating sample 228/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13699/17071 [00:00<00:00, 136977.39it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136736.22it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2007597.46it/s]
Sample 228 completed
Generating sample 229/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  69%|██████▉   | 11848/17071 [00:00<00:00, 118469.38it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 123343.18it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1985441.13it/s]
Sample 229 completed
Generating sample 230/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  77%|███████▋  | 13201/17071 [00:00<00:00, 132000.68it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 128549.82it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1891803.10it/s]
Sample 230 completed
Generating sample 231/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13243/17071 [00:00<00:00, 132420.65it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 132525.41it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1958772.33it/s]
Sample 231 completed
Generating sample 232/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13749/17071 [00:00<00:00, 137486.85it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137414.31it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2002992.24it/s]
Sample 232 completed
Generating sample 233/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13677/17071 [00:00<00:00, 136765.89it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136792.64it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1943038.36it/s]
Sample 233 completed
Generating sample 234/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13691/17071 [00:00<00:00, 136906.87it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136761.81it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1971717.89it/s]
Sample 234 completed
Generating sample 235/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13467/17071 [00:00<00:00, 134667.24it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134726.55it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1950607.88it/s]
Sample 235 completed
Generating sample 236/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13342/17071 [00:00<00:00, 133411.54it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133872.86it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1973728.91it/s]
Sample 236 completed
Generating sample 237/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▊  | 13436/17071 [00:00<00:00, 134355.00it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134568.80it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1905193.01it/s]
Sample 237 completed
Generating sample 238/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  28%|██▊       | 4708/17071 [00:00<00:01, 10112.17it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 30383.94it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1916616.62it/s]
Sample 238 completed
Generating sample 239/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13717/17071 [00:00<00:00, 137165.55it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136900.66it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1999356.74it/s]
Sample 239 completed
Generating sample 240/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13708/17071 [00:00<00:00, 137069.67it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137070.49it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2015112.11it/s]
Sample 240 completed
Generating sample 241/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  70%|██████▉   | 11896/17071 [00:00<00:00, 118953.02it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 123913.76it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1965979.23it/s]
Sample 241 completed
Generating sample 242/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13547/17071 [00:00<00:00, 135459.47it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 131876.14it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2045917.18it/s]
Sample 242 completed
Generating sample 243/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13798/17071 [00:00<00:00, 137975.20it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137802.81it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1983680.94it/s]
Sample 243 completed
Generating sample 244/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13826/17071 [00:00<00:00, 138255.19it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137888.53it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1954441.48it/s]
Sample 244 completed
Generating sample 245/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13756/17071 [00:00<00:00, 137553.57it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137252.84it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1878550.80it/s]
Sample 245 completed
Generating sample 246/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13480/17071 [00:00<00:00, 134787.60it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135300.38it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1985716.45it/s]
Sample 246 completed
Generating sample 247/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13696/17071 [00:00<00:00, 136946.42it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137438.31it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1943407.53it/s]
Sample 247 completed
Generating sample 248/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13778/17071 [00:00<00:00, 137771.26it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137581.98it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2118121.04it/s]
Sample 248 completed
Generating sample 249/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13739/17071 [00:00<00:00, 137386.53it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137448.87it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2101275.53it/s]
Sample 249 completed
Generating sample 250/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13586/17071 [00:00<00:00, 135847.50it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135375.85it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2123460.47it/s]
Sample 250 completed
Generating sample 251/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13744/17071 [00:00<00:00, 137432.27it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137257.58it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2031175.39it/s]
Sample 251 completed
Generating sample 252/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▊  | 13434/17071 [00:00<00:00, 134329.56it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134197.54it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2181692.42it/s]
Sample 252 completed
Generating sample 253/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13865/17071 [00:00<00:00, 138642.53it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138314.45it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1956096.70it/s]
Sample 253 completed
Generating sample 254/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13619/17071 [00:00<00:00, 136184.93it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135972.28it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1993178.84it/s]
Sample 254 completed
Generating sample 255/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  13%|█▎        | 2282/17071 [00:00<00:02, 4952.95it/s]
Calculating metrics (sequential):  93%|█████████▎| 15863/17071 [00:00<00:00, 35923.36it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 29970.73it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1965061.99it/s]
Sample 255 completed
Generating sample 256/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████▏ | 13887/17071 [00:00<00:00, 138863.84it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 139141.23it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2112247.44it/s]
Sample 256 completed
Generating sample 257/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13656/17071 [00:00<00:00, 136547.76it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136486.78it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2084999.38it/s]
Sample 257 completed
Generating sample 258/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13834/17071 [00:00<00:00, 138329.25it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138148.46it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2087248.24it/s]
Sample 258 completed
Generating sample 259/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  76%|███████▌  | 12977/17071 [00:00<00:00, 129762.39it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 129730.46it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1947530.63it/s]
Sample 259 completed
Generating sample 260/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  69%|██████▉   | 11796/17071 [00:00<00:00, 117956.74it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 121855.31it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2005292.21it/s]
Sample 260 completed
Generating sample 261/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13280/17071 [00:00<00:00, 132791.26it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 129290.99it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2061230.49it/s]
Sample 261 completed
Generating sample 262/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13731/17071 [00:00<00:00, 137298.35it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137127.46it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1978692.41it/s]
Sample 262 completed
Generating sample 263/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13752/17071 [00:00<00:00, 137514.56it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137320.23it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1981320.59it/s]
Sample 263 completed
Generating sample 264/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13756/17071 [00:00<00:00, 137556.85it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137164.23it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1946471.76it/s]
Sample 264 completed
Generating sample 265/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13684/17071 [00:00<00:00, 136829.04it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137349.20it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2000977.10it/s]
Sample 265 completed
Generating sample 266/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13688/17071 [00:00<00:00, 136874.26it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137257.05it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2004225.71it/s]
Sample 266 completed
Generating sample 267/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13373/17071 [00:00<00:00, 133715.78it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134318.38it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1843010.65it/s]
Sample 267 completed
Generating sample 268/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13732/17071 [00:00<00:00, 137317.51it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137137.96it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2045099.07it/s]
Sample 268 completed
Generating sample 269/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13760/17071 [00:00<00:00, 137590.29it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137532.56it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2109136.43it/s]
Sample 269 completed
Generating sample 270/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13762/17071 [00:00<00:00, 137608.98it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137392.69it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2003608.79it/s]
Sample 270 completed
Generating sample 271/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  68%|██████▊   | 11626/17071 [00:00<00:00, 116060.88it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 28941.28it/s] 

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1930465.45it/s]
Sample 271 completed
Generating sample 272/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13308/17071 [00:00<00:00, 133074.42it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 129273.48it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1967924.46it/s]
Sample 272 completed
Generating sample 273/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13619/17071 [00:00<00:00, 136183.64it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136541.96it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1930777.79it/s]
Sample 273 completed
Generating sample 274/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13640/17071 [00:00<00:00, 136387.45it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136423.32it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2031060.15it/s]
Sample 274 completed
Generating sample 275/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13462/17071 [00:00<00:00, 134615.31it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134297.47it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2007710.05it/s]
Sample 275 completed
Generating sample 276/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13713/17071 [00:00<00:00, 137122.94it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136923.70it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1930257.28it/s]
Sample 276 completed
Generating sample 277/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13272/17071 [00:00<00:00, 132711.58it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 132270.56it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1952682.55it/s]
Sample 277 completed
Generating sample 278/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13278/17071 [00:00<00:00, 132769.36it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 132632.94it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1925067.58it/s]
Sample 278 completed
Generating sample 279/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  77%|███████▋  | 13199/17071 [00:00<00:00, 131977.22it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 131916.72it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1972315.33it/s]
Sample 279 completed
Generating sample 280/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13690/17071 [00:00<00:00, 136895.56it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136800.22it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2021826.50it/s]
Sample 280 completed
Generating sample 281/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13745/17071 [00:00<00:00, 137440.63it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137335.77it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2005573.05it/s]
Sample 281 completed
Generating sample 282/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13475/17071 [00:00<00:00, 134745.95it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134561.97it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1992402.36it/s]
Sample 282 completed
Generating sample 283/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13399/17071 [00:00<00:00, 133977.99it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133931.46it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1947795.53it/s]
Sample 283 completed
Generating sample 284/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13751/17071 [00:00<00:00, 137500.62it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137331.55it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2028413.37it/s]
Sample 284 completed
Generating sample 285/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13579/17071 [00:00<00:00, 135786.89it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135528.57it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2005404.54it/s]
Sample 285 completed
Generating sample 286/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▊  | 13438/17071 [00:00<00:00, 134373.72it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134970.86it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1969765.16it/s]
Sample 286 completed
Generating sample 287/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13239/17071 [00:00<00:00, 132379.08it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 132747.53it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1977217.12it/s]
Sample 287 completed
Generating sample 288/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  68%|██████▊   | 11595/17071 [00:00<00:00, 115943.48it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 120270.24it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2032501.52it/s]
Sample 288 completed
Generating sample 289/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):   1%|          | 209/17071 [00:00<00:36, 467.93it/s]
Calculating metrics (sequential):  80%|████████  | 13703/17071 [00:00<00:00, 33054.99it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 29866.15it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2006472.29it/s]
Sample 289 completed
Generating sample 290/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13559/17071 [00:00<00:00, 135579.14it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135336.19it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1986157.10it/s]
Sample 290 completed
Generating sample 291/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13749/17071 [00:00<00:00, 137478.00it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137662.39it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1982472.62it/s]
Sample 291 completed
Generating sample 292/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13719/17071 [00:00<00:00, 137181.95it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136958.27it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2011150.04it/s]
Sample 292 completed
Generating sample 293/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13811/17071 [00:00<00:00, 138099.27it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137788.23it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2045975.64it/s]
Sample 293 completed
Generating sample 294/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13836/17071 [00:00<00:00, 138349.58it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138112.75it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2060696.59it/s]
Sample 294 completed
Generating sample 295/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13581/17071 [00:00<00:00, 135801.39it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135588.11it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1954441.48it/s]
Sample 295 completed
Generating sample 296/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▊  | 13435/17071 [00:00<00:00, 134335.40it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134778.28it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1890654.16it/s]
Sample 296 completed
Generating sample 297/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13569/17071 [00:00<00:00, 135677.84it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135549.87it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1990740.50it/s]
Sample 297 completed
Generating sample 298/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13787/17071 [00:00<00:00, 137862.24it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137588.32it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1991681.88it/s]
Sample 298 completed
Generating sample 299/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13331/17071 [00:00<00:00, 133301.86it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 132943.48it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2067957.59it/s]
Sample 299 completed
Generating sample 300/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  70%|███████   | 11950/17071 [00:00<00:00, 119495.84it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 119164.73it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2062952.74it/s]
Sample 300 completed
Generating sample 301/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  82%|████████▏ | 13964/17071 [00:00<00:00, 139632.48it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 139187.21it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2114992.72it/s]
Sample 301 completed
Generating sample 302/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  82%|████████▏ | 13943/17071 [00:00<00:00, 139424.48it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 139076.10it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2073046.80it/s]
Sample 302 completed
Generating sample 303/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████▏ | 13878/17071 [00:00<00:00, 138775.50it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138515.13it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2001928.19it/s]
Sample 303 completed
Generating sample 304/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13244/17071 [00:00<00:00, 132431.60it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 132470.74it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1953694.88it/s]
Sample 304 completed
Generating sample 305/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  58%|█████▊    | 9867/17071 [00:00<00:00, 18960.35it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 29816.96it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1883442.86it/s]
Sample 305 completed
Generating sample 306/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13800/17071 [00:00<00:00, 137992.56it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137927.84it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2094514.07it/s]
Sample 306 completed
Generating sample 307/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████▏ | 13878/17071 [00:00<00:00, 138772.52it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138459.15it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1991903.51it/s]
Sample 307 completed
Generating sample 308/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13550/17071 [00:00<00:00, 135487.21it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135320.07it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1991515.69it/s]
Sample 308 completed
Generating sample 309/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13710/17071 [00:00<00:00, 137091.63it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136987.36it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2070289.54it/s]
Sample 309 completed
Generating sample 310/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13495/17071 [00:00<00:00, 134939.51it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134706.02it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1981101.31it/s]
Sample 310 completed
Generating sample 311/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13522/17071 [00:00<00:00, 135215.29it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135052.84it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2036490.33it/s]
Sample 311 completed
Generating sample 312/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13697/17071 [00:00<00:00, 136966.54it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136850.69it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1969440.08it/s]
Sample 312 completed
Generating sample 313/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13815/17071 [00:00<00:00, 138139.59it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137806.00it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1913645.60it/s]
Sample 313 completed
Generating sample 314/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13574/17071 [00:00<00:00, 135731.07it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135556.03it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1922947.86it/s]
Sample 314 completed
Generating sample 315/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13621/17071 [00:00<00:00, 136197.14it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136724.21it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2059274.19it/s]
Sample 315 completed
Generating sample 316/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  70%|███████   | 11959/17071 [00:00<00:00, 119582.70it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 123385.27it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1493771.80it/s]
Sample 316 completed
Generating sample 317/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▊  | 13425/17071 [00:00<00:00, 134239.25it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 130922.69it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2083179.53it/s]
Sample 317 completed
Generating sample 318/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13754/17071 [00:00<00:00, 137530.29it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137600.22it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2116555.72it/s]
Sample 318 completed
Generating sample 319/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13790/17071 [00:00<00:00, 137897.17it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137640.96it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1983845.83it/s]
Sample 319 completed
Generating sample 320/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13618/17071 [00:00<00:00, 136170.71it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135965.83it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2048434.04it/s]
Sample 320 completed
Generating sample 321/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13724/17071 [00:00<00:00, 137233.91it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137059.99it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1967437.79it/s]
Sample 321 completed
Generating sample 322/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  15%|█▌        | 2626/17071 [00:00<00:02, 5686.81it/s]
Calculating metrics (sequential):  95%|█████████▌| 16271/17071 [00:00<00:00, 36582.29it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 30069.80it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2002152.11it/s]
Sample 322 completed
Generating sample 323/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13475/17071 [00:00<00:00, 134334.73it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134721.99it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1954654.90it/s]
Sample 323 completed
Generating sample 324/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▊  | 13427/17071 [00:00<00:00, 134261.81it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134013.43it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2023197.61it/s]
Sample 324 completed
Generating sample 325/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13628/17071 [00:00<00:00, 136276.23it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136058.06it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1980443.76it/s]
Sample 325 completed
Generating sample 326/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13844/17071 [00:00<00:00, 138433.86it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138600.13it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2149210.97it/s]
Sample 326 completed
Generating sample 327/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  67%|██████▋   | 11518/17071 [00:00<00:00, 115169.68it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 120422.96it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2097950.82it/s]
Sample 327 completed
Generating sample 328/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13761/17071 [00:00<00:00, 137602.59it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137436.99it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2098196.74it/s]
Sample 328 completed
Generating sample 329/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13243/17071 [00:00<00:00, 132418.13it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 129220.76it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2038403.56it/s]
Sample 329 completed
Generating sample 330/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13538/17071 [00:00<00:00, 135373.03it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135244.16it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1923154.46it/s]
Sample 330 completed
Generating sample 331/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13703/17071 [00:00<00:00, 137021.96it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136094.01it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1950023.52it/s]
Sample 331 completed
Generating sample 332/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13745/17071 [00:00<00:00, 137439.97it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137836.50it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1953268.50it/s]
Sample 332 completed
Generating sample 333/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13693/17071 [00:00<00:00, 136919.68it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137372.39it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1955348.83it/s]
Sample 333 completed
Generating sample 334/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13582/17071 [00:00<00:00, 135815.60it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136356.04it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1983790.86it/s]
Sample 334 completed
Generating sample 335/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13533/17071 [00:00<00:00, 135320.13it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134941.61it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2110006.59it/s]
Sample 335 completed
Generating sample 336/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13582/17071 [00:00<00:00, 135816.57it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135356.14it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1970632.56it/s]
Sample 336 completed
Generating sample 337/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13789/17071 [00:00<00:00, 137881.58it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137065.77it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2154513.99it/s]
Sample 337 completed
Generating sample 338/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  70%|███████   | 11952/17071 [00:00<00:00, 22403.60it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 29913.87it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1857738.66it/s]
Sample 338 completed
Generating sample 339/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13736/17071 [00:00<00:00, 137351.29it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137068.92it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1899985.77it/s]
Sample 339 completed
Generating sample 340/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13648/17071 [00:00<00:00, 136470.04it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136498.23it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1971772.19it/s]
Sample 340 completed
Generating sample 341/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13772/17071 [00:00<00:00, 137704.04it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137433.83it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1991792.69it/s]
Sample 341 completed
Generating sample 342/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13527/17071 [00:00<00:00, 135260.45it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135147.92it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1968519.60it/s]
Sample 342 completed
Generating sample 343/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  70%|██████▉   | 11949/17071 [00:00<00:00, 119480.71it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 119734.45it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2017269.50it/s]
Sample 343 completed
Generating sample 344/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13618/17071 [00:00<00:00, 136174.94it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136469.09it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1979403.52it/s]
Sample 344 completed
Generating sample 345/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  82%|████████▏ | 13936/17071 [00:00<00:00, 139349.50it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 139190.73it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2171041.95it/s]
Sample 345 completed
Generating sample 346/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13784/17071 [00:00<00:00, 137831.92it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137657.89it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2003384.54it/s]
Sample 346 completed
Generating sample 347/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13618/17071 [00:00<00:00, 136176.88it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135961.44it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2017440.02it/s]
Sample 347 completed
Generating sample 348/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13850/17071 [00:00<00:00, 138489.90it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138006.80it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2018406.82it/s]
Sample 348 completed
Generating sample 349/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▊  | 13414/17071 [00:00<00:00, 134131.81it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133983.09it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1946577.59it/s]
Sample 349 completed
Generating sample 350/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13812/17071 [00:00<00:00, 138112.23it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137889.86it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2018805.19it/s]
Sample 350 completed
Generating sample 351/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13863/17071 [00:00<00:00, 138618.23it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138449.24it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1964792.37it/s]
Sample 351 completed
Generating sample 352/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13488/17071 [00:00<00:00, 134873.70it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134847.58it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2048375.44it/s]
Sample 352 completed
Generating sample 353/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13804/17071 [00:00<00:00, 138030.59it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138404.82it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2030426.60it/s]
Sample 353 completed
Generating sample 354/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13478/17071 [00:00<00:00, 134768.88it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135148.69it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1915539.84it/s]
Sample 354 completed
Generating sample 355/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13542/17071 [00:00<00:00, 135407.54it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135301.15it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1993345.31it/s]
Sample 355 completed
Generating sample 356/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):   1%|          | 203/17071 [00:00<00:36, 459.72it/s]
Calculating metrics (sequential):  81%|████████  | 13861/17071 [00:00<00:00, 33732.32it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 30211.02it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2071607.31it/s]
Sample 356 completed
Generating sample 357/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13310/17071 [00:00<00:00, 133082.04it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 132959.28it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1966033.21it/s]
Sample 357 completed
Generating sample 358/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13299/17071 [00:00<00:00, 132984.10it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 132889.69it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1940352.93it/s]
Sample 358 completed
Generating sample 359/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  68%|██████▊   | 11650/17071 [00:00<00:00, 116495.94it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 120679.10it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2140857.04it/s]
Sample 359 completed
Generating sample 360/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13274/17071 [00:00<00:00, 132728.10it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 128950.34it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2011715.09it/s]
Sample 360 completed
Generating sample 361/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13342/17071 [00:00<00:00, 133414.08it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133204.16it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2025773.48it/s]
Sample 361 completed
Generating sample 362/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13636/17071 [00:00<00:00, 136355.58it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136164.15it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1918928.08it/s]
Sample 362 completed
Generating sample 363/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13600/17071 [00:00<00:00, 135437.94it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135503.44it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1976398.46it/s]
Sample 363 completed
Generating sample 364/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13682/17071 [00:00<00:00, 136817.19it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136657.93it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2052309.21it/s]
Sample 364 completed
Generating sample 365/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13725/17071 [00:00<00:00, 137247.19it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137221.28it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2082391.91it/s]
Sample 365 completed
Generating sample 366/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13283/17071 [00:00<00:00, 132816.83it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 132873.90it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1941089.37it/s]
Sample 366 completed
Generating sample 367/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13569/17071 [00:00<00:00, 135677.84it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135479.85it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2029735.90it/s]
Sample 367 completed
Generating sample 368/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  77%|███████▋  | 13145/17071 [00:00<00:00, 131440.10it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 131746.81it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2010980.58it/s]
Sample 368 completed
Generating sample 369/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13459/17071 [00:00<00:00, 134579.22it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134547.31it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1973565.70it/s]
Sample 369 completed
Generating sample 370/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  66%|██████▌   | 11225/17071 [00:00<00:00, 112241.81it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 112513.08it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2025716.17it/s]
Sample 370 completed
Generating sample 371/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13515/17071 [00:00<00:00, 135145.30it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134838.69it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1968898.52it/s]
Sample 371 completed
Generating sample 372/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  58%|█████▊    | 9877/17071 [00:00<00:00, 18920.93it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 29691.14it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1912521.06it/s]
Sample 372 completed
Generating sample 373/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13391/17071 [00:00<00:00, 133897.04it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133886.38it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2031175.39it/s]
Sample 373 completed
Generating sample 374/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13533/17071 [00:00<00:00, 135327.55it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135297.06it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1972261.01it/s]
Sample 374 completed
Generating sample 375/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  77%|███████▋  | 13118/17071 [00:00<00:00, 131167.30it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 130948.07it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1947530.63it/s]
Sample 375 completed
Generating sample 376/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13721/17071 [00:00<00:00, 137207.19it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137084.14it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2066405.88it/s]
Sample 376 completed
Generating sample 377/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13490/17071 [00:00<00:00, 134885.98it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134831.07it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2101830.67it/s]
Sample 377 completed
Generating sample 378/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13800/17071 [00:00<00:00, 137992.56it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137896.50it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1993400.81it/s]
Sample 378 completed
Generating sample 379/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13749/17071 [00:00<00:00, 137481.61it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137195.51it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1873831.19it/s]
Sample 379 completed
Generating sample 380/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13696/17071 [00:00<00:00, 136951.97it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136665.23it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1955348.83it/s]
Sample 380 completed
Generating sample 381/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13623/17071 [00:00<00:00, 136220.39it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136799.44it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1914003.68it/s]
Sample 381 completed
Generating sample 382/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13606/17071 [00:00<00:00, 136047.16it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136444.12it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1937098.28it/s]
Sample 382 completed
Generating sample 383/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13612/17071 [00:00<00:00, 136112.99it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136076.42it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2096292.41it/s]
Sample 383 completed
Generating sample 384/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13476/17071 [00:00<00:00, 134751.45it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134416.97it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2111686.78it/s]
Sample 384 completed
Generating sample 385/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13534/17071 [00:00<00:00, 135324.96it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135463.44it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2049724.14it/s]
Sample 385 completed
Generating sample 386/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  68%|██████▊   | 11649/17071 [00:00<00:00, 116484.56it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 121379.58it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2017951.74it/s]
Sample 386 completed
Generating sample 387/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13367/17071 [00:00<00:00, 133658.66it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 129807.60it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1952629.29it/s]
Sample 387 completed
Generating sample 388/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13534/17071 [00:00<00:00, 135330.77it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135172.67it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1964900.21it/s]
Sample 388 completed
Generating sample 389/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  40%|███▉      | 6780/17071 [00:00<00:00, 13805.93it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 29993.29it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1923051.15it/s]
Sample 389 completed
Generating sample 390/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13743/17071 [00:00<00:00, 137424.89it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137077.84it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1948113.50it/s]
Sample 390 completed
Generating sample 391/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13746/17071 [00:00<00:00, 137452.92it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137547.88it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2056080.97it/s]
Sample 391 completed
Generating sample 392/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13717/17071 [00:00<00:00, 137161.30it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137111.44it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1969981.94it/s]
Sample 392 completed
Generating sample 393/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13667/17071 [00:00<00:00, 136664.92it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136552.89it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1975307.98it/s]
Sample 393 completed
Generating sample 394/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13380/17071 [00:00<00:00, 133793.11it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133829.82it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2001760.28it/s]
Sample 394 completed
Generating sample 395/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13667/17071 [00:00<00:00, 136666.87it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136522.43it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2039158.25it/s]
Sample 395 completed
Generating sample 396/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  77%|███████▋  | 13227/17071 [00:00<00:00, 132266.97it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 132352.22it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2026977.79it/s]
Sample 396 completed
Generating sample 397/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  68%|██████▊   | 11669/17071 [00:00<00:00, 116680.65it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 121227.50it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1915129.95it/s]
Sample 397 completed
Generating sample 398/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13448/17071 [00:00<00:00, 134475.32it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 130764.40it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1985165.90it/s]
Sample 398 completed
Generating sample 399/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13369/17071 [00:00<00:00, 133683.75it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133533.06it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1954548.18it/s]
Sample 399 completed
Generating sample 400/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13460/17071 [00:00<00:00, 134596.28it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134405.87it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2084999.38it/s]
Sample 400 completed
Generating sample 401/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13670/17071 [00:00<00:00, 136688.72it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137147.15it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1986597.96it/s]
Sample 401 completed
Generating sample 402/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13591/17071 [00:00<00:00, 135902.03it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136177.87it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2005966.37it/s]
Sample 402 completed
Generating sample 403/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13583/17071 [00:00<00:00, 135821.39it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136553.41it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1875008.87it/s]
Sample 403 completed
Generating sample 404/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13627/17071 [00:00<00:00, 136261.36it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136082.63it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2043056.66it/s]
Sample 404 completed
Generating sample 405/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13321/17071 [00:00<00:00, 133199.65it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133157.09it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2037069.72it/s]
Sample 405 completed
Generating sample 406/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  24%|██▎       | 4033/17071 [00:00<00:01, 8704.77it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 30407.81it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1902156.20it/s]
Sample 406 completed
Generating sample 407/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13694/17071 [00:00<00:00, 136932.62it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136566.96it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1947477.66it/s]
Sample 407 completed
Generating sample 408/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▊  | 13406/17071 [00:00<00:00, 134055.33it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133870.36it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1919185.26it/s]
Sample 408 completed
Generating sample 409/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13635/17071 [00:00<00:00, 136340.05it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136649.84it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1941299.88it/s]
Sample 409 completed
Generating sample 410/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13752/17071 [00:00<00:00, 137514.56it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137286.53it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1932706.12it/s]
Sample 410 completed
Generating sample 411/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13740/17071 [00:00<00:00, 137388.99it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137047.40it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2010303.05it/s]
Sample 411 completed
Generating sample 412/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13247/17071 [00:00<00:00, 132463.18it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 132258.59it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1911193.77it/s]
Sample 412 completed
Generating sample 413/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13698/17071 [00:00<00:00, 136975.89it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136583.37it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1965547.48it/s]
Sample 413 completed
Generating sample 414/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  71%|███████   | 12037/17071 [00:00<00:00, 120364.38it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 120582.16it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1961347.82it/s]
Sample 414 completed
Generating sample 415/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13743/17071 [00:00<00:00, 137423.25it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137146.89it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2052132.74it/s]
Sample 415 completed
Generating sample 416/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  76%|███████▋  | 13032/17071 [00:00<00:00, 130312.05it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 130096.52it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1932341.00it/s]
Sample 416 completed
Generating sample 417/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13251/17071 [00:00<00:00, 132504.12it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 132468.04it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2010754.69it/s]
Sample 417 completed
Generating sample 418/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  82%|████████▏ | 13958/17071 [00:00<00:00, 139568.15it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 139230.52it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2071667.25it/s]
Sample 418 completed
Generating sample 419/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  82%|████████▏ | 14019/17071 [00:00<00:00, 140187.46it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 139921.61it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2288813.85it/s]
Sample 419 completed
Generating sample 420/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13868/17071 [00:00<00:00, 138673.85it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138292.54it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1943143.82it/s]
Sample 420 completed
Generating sample 421/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13800/17071 [00:00<00:00, 137996.18it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137659.22it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1924964.07it/s]
Sample 421 completed
Generating sample 422/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13631/17071 [00:00<00:00, 136298.11it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135922.21it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1930934.00it/s]
Sample 422 completed
Generating sample 423/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):   9%|▉         | 1593/17071 [00:00<00:04, 3525.16it/s]
Calculating metrics (sequential):  88%|████████▊ | 15034/17071 [00:00<00:00, 34962.61it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 30109.59it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1898977.95it/s]
Sample 423 completed
Generating sample 424/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13515/17071 [00:00<00:00, 135137.56it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135121.14it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2058090.36it/s]
Sample 424 completed
Generating sample 425/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13452/17071 [00:00<00:00, 134510.51it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134040.27it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1909308.11it/s]
Sample 425 completed
Generating sample 426/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▊  | 13407/17071 [00:00<00:00, 134064.69it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134166.11it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2014941.99it/s]
Sample 426 completed
Generating sample 427/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  69%|██████▉   | 11793/17071 [00:00<00:00, 117921.12it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 121912.37it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2033309.58it/s]
Sample 427 completed
Generating sample 428/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13352/17071 [00:00<00:00, 133516.94it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 129709.78it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1994344.70it/s]
Sample 428 completed
Generating sample 429/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13675/17071 [00:00<00:00, 136745.57it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136289.59it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1994400.26it/s]
Sample 429 completed
Generating sample 430/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13594/17071 [00:00<00:00, 135935.27it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136091.94it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1902307.81it/s]
Sample 430 completed
Generating sample 431/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13583/17071 [00:00<00:00, 135820.41it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135639.74it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1934847.42it/s]
Sample 431 completed
Generating sample 432/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13604/17071 [00:00<00:00, 136028.45it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136579.20it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1966249.17it/s]
Sample 432 completed
Generating sample 433/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13345/17071 [00:00<00:00, 133446.31it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133809.07it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2046209.52it/s]
Sample 433 completed
Generating sample 434/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13646/17071 [00:00<00:00, 136448.74it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136326.96it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1970524.10it/s]
Sample 434 completed
Generating sample 435/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  77%|███████▋  | 13197/17071 [00:00<00:00, 131962.26it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 132005.73it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2032847.75it/s]
Sample 435 completed
Generating sample 436/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13631/17071 [00:00<00:00, 136298.76it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136074.09it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1958129.51it/s]
Sample 436 completed
Generating sample 437/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13457/17071 [00:00<00:00, 134564.67it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134099.27it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1977763.27it/s]
Sample 437 completed
Generating sample 438/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13351/17071 [00:00<00:00, 133507.90it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133489.25it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2043173.26it/s]
Sample 438 completed
Generating sample 439/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  62%|██████▏   | 10565/17071 [00:00<00:00, 20529.78it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 30330.82it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1943091.09it/s]
Sample 439 completed
Generating sample 440/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  68%|██████▊   | 11571/17071 [00:00<00:00, 115703.49it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 115674.24it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1985991.83it/s]
Sample 440 completed
Generating sample 441/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13752/17071 [00:00<00:00, 137512.26it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137236.53it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1935998.37it/s]
Sample 441 completed
Generating sample 442/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13812/17071 [00:00<00:00, 138112.23it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137757.21it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1912776.52it/s]
Sample 442 completed
Generating sample 443/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13559/17071 [00:00<00:00, 135582.37it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135741.06it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1945466.89it/s]
Sample 443 completed
Generating sample 444/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13674/17071 [00:00<00:00, 136733.28it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136682.97it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1974055.40it/s]
Sample 444 completed
Generating sample 445/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13778/17071 [00:00<00:00, 137771.92it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137640.16it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2120693.17it/s]
Sample 445 completed
Generating sample 446/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13322/17071 [00:00<00:00, 133215.05it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133222.00it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1976453.02it/s]
Sample 446 completed
Generating sample 447/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13836/17071 [00:00<00:00, 138352.55it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138094.64it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2063904.17it/s]
Sample 447 completed
Generating sample 448/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▊  | 13423/17071 [00:00<00:00, 134217.33it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134426.81it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1926103.29it/s]
Sample 448 completed
Generating sample 449/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13375/17071 [00:00<00:00, 133745.98it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134336.52it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1962046.52it/s]
Sample 449 completed
Generating sample 450/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13271/17071 [00:00<00:00, 132701.90it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133005.22it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1986267.30it/s]
Sample 450 completed
Generating sample 451/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13261/17071 [00:00<00:00, 132605.07it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 132778.30it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2049958.87it/s]
Sample 451 completed
Generating sample 452/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13460/17071 [00:00<00:00, 134594.67it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134346.10it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2066525.16it/s]
Sample 452 completed
Generating sample 453/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13244/17071 [00:00<00:00, 132434.44it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 132451.13it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2025372.36it/s]
Sample 453 completed
Generating sample 454/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13712/17071 [00:00<00:00, 137111.63it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136900.93it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2001088.95it/s]
Sample 454 completed
Generating sample 455/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13710/17071 [00:00<00:00, 137096.21it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136818.26it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2030369.02it/s]
Sample 455 completed
Generating sample 456/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  42%|████▏     | 7121/17071 [00:00<00:00, 14603.16it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 30386.28it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1979896.13it/s]
Sample 456 completed
Generating sample 457/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  69%|██████▉   | 11804/17071 [00:00<00:00, 118032.51it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 118488.73it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1969440.08it/s]
Sample 457 completed
Generating sample 458/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13365/17071 [00:00<00:00, 133639.93it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133975.57it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1920884.33it/s]
Sample 458 completed
Generating sample 459/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13706/17071 [00:00<00:00, 137053.92it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136701.50it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2033887.16it/s]
Sample 459 completed
Generating sample 460/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13594/17071 [00:00<00:00, 135934.30it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135664.67it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1914617.85it/s]
Sample 460 completed
Generating sample 461/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13637/17071 [00:00<00:00, 136363.63it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136114.71it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1904990.25it/s]
Sample 461 completed
Generating sample 462/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████▏ | 13877/17071 [00:00<00:00, 138764.84it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138957.07it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1980772.48it/s]
Sample 462 completed
Generating sample 463/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  77%|███████▋  | 13204/17071 [00:00<00:00, 132030.37it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 132097.06it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2116868.60it/s]
Sample 463 completed
Generating sample 464/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13699/17071 [00:00<00:00, 136978.05it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136969.02it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2041774.94it/s]
Sample 464 completed
Generating sample 465/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13816/17071 [00:00<00:00, 138156.84it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137923.06it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1973565.70it/s]
Sample 465 completed
Generating sample 466/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13680/17071 [00:00<00:00, 136788.06it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136666.27it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1974763.19it/s]
Sample 466 completed
Generating sample 467/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13328/17071 [00:00<00:00, 133270.59it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 132913.12it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2012223.92it/s]
Sample 467 completed
Generating sample 468/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13653/17071 [00:00<00:00, 136523.62it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136328.78it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1910734.76it/s]
Sample 468 completed
Generating sample 469/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13643/17071 [00:00<00:00, 136418.10it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136261.58it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1924084.69it/s]
Sample 469 completed
Generating sample 470/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  68%|██████▊   | 11693/17071 [00:00<00:00, 116918.96it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 121567.73it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1987976.89it/s]
Sample 470 completed
Generating sample 471/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13364/17071 [00:00<00:00, 133628.98it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 130052.57it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2002544.08it/s]
Sample 471 completed
Generating sample 472/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13531/17071 [00:00<00:00, 135301.42it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135061.76it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2076292.98it/s]
Sample 472 completed
Generating sample 473/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  74%|███████▍  | 12624/17071 [00:00<00:00, 24105.10it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 30675.73it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2000585.74it/s]
Sample 473 completed
Generating sample 474/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  77%|███████▋  | 13086/17071 [00:00<00:00, 130852.64it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 130891.10it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2024914.13it/s]
Sample 474 completed
Generating sample 475/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13621/17071 [00:00<00:00, 136202.34it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136039.97it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2029735.90it/s]
Sample 475 completed
Generating sample 476/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13310/17071 [00:00<00:00, 133092.51it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133063.05it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2032847.75it/s]
Sample 476 completed
Generating sample 477/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13387/17071 [00:00<00:00, 133858.32it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133713.11it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2005629.23it/s]
Sample 477 completed
Generating sample 478/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▊  | 13437/17071 [00:00<00:00, 134359.24it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133936.22it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1876581.41it/s]
Sample 478 completed
Generating sample 479/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  77%|███████▋  | 13189/17071 [00:00<00:00, 131879.44it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 131642.41it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1958558.01it/s]
Sample 479 completed
Generating sample 480/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13697/17071 [00:00<00:00, 136960.99it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136947.53it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2047204.11it/s]
Sample 480 completed
Generating sample 481/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13576/17071 [00:00<00:00, 135752.36it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135632.80it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2034118.28it/s]
Sample 481 completed
Generating sample 482/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13624/17071 [00:00<00:00, 136228.44it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136073.84it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1904888.89it/s]
Sample 482 completed
Generating sample 483/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  69%|██████▉   | 11788/17071 [00:00<00:00, 117871.40it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 118129.23it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1997906.23it/s]
Sample 483 completed
Generating sample 484/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13341/17071 [00:00<00:00, 133404.40it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133183.10it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2016360.56it/s]
Sample 484 completed
Generating sample 485/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13650/17071 [00:00<00:00, 136491.34it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136088.32it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2078583.43it/s]
Sample 485 completed
Generating sample 486/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13394/17071 [00:00<00:00, 133931.51it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133684.40it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1991571.08it/s]
Sample 486 completed
Generating sample 487/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13662/17071 [00:00<00:00, 136612.31it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136276.10it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1953854.82it/s]
Sample 487 completed
Generating sample 488/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13391/17071 [00:00<00:00, 133899.59it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133973.31it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1902004.61it/s]
Sample 488 completed
Generating sample 489/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▊  | 13433/17071 [00:00<00:00, 134320.52it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134700.95it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1853746.63it/s]
Sample 489 completed
Generating sample 490/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13328/17071 [00:00<00:00, 25129.41it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 30611.16it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1906715.05it/s]
Sample 490 completed
Generating sample 491/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13509/17071 [00:00<00:00, 135086.26it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135068.89it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2014205.12it/s]
Sample 491 completed
Generating sample 492/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13839/17071 [00:00<00:00, 138379.57it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138164.72it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1984120.70it/s]
Sample 492 completed
Generating sample 493/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13539/17071 [00:00<00:00, 135380.77it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135938.46it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1999524.24it/s]
Sample 493 completed
Generating sample 494/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████▏ | 13883/17071 [00:00<00:00, 138820.87it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138504.14it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2157110.34it/s]
Sample 494 completed
Generating sample 495/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  77%|███████▋  | 13124/17071 [00:00<00:00, 131227.61it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 131573.71it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1981485.09it/s]
Sample 495 completed
Generating sample 496/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13454/17071 [00:00<00:00, 134534.03it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134424.04it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2008611.20it/s]
Sample 496 completed
Generating sample 497/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  70%|██████▉   | 11940/17071 [00:00<00:00, 119394.14it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 124119.11it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1915232.41it/s]
Sample 497 completed
Generating sample 498/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  77%|███████▋  | 13140/17071 [00:00<00:00, 131389.47it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 127443.76it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1881562.09it/s]
Sample 498 completed
Generating sample 499/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13322/17071 [00:00<00:00, 133061.51it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133110.80it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1919699.81it/s]
Sample 499 completed
Generating sample 500/500 (prompt_gen: full, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13604/17071 [00:00<00:00, 136032.99it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136386.16it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1975962.13it/s]
Sample 500 completed
Completed temperature 3.0
Completed prompt_gen: full
Running with prompt_gen: 4
Running with temperature: 1.0
Generating sample 1/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████▏ | 13889/17071 [00:00<00:00, 138886.16it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138816.17it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2097213.43it/s]
Sample 1 completed
Generating sample 2/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13553/17071 [00:00<00:00, 135523.34it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135768.08it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2094759.18it/s]
Sample 2 completed
Generating sample 3/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13457/17071 [00:00<00:00, 134562.43it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134667.26it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2057498.95it/s]
Sample 3 completed
Generating sample 4/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13857/17071 [00:00<00:00, 138565.51it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138269.04it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2145411.51it/s]
Sample 4 completed
Generating sample 5/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13353/17071 [00:00<00:00, 133517.08it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133596.35it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1960649.62it/s]
Sample 5 completed
Generating sample 6/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13664/17071 [00:00<00:00, 136627.75it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136442.82it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1938409.32it/s]
Sample 6 completed
Generating sample 7/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13753/17071 [00:00<00:00, 137520.95it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 30227.00it/s] 

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1910938.74it/s]
Sample 7 completed
Generating sample 8/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13629/17071 [00:00<00:00, 136279.08it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136705.93it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1915591.09it/s]
Sample 8 completed
Generating sample 9/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  70%|███████   | 11969/17071 [00:00<00:00, 119687.26it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 124009.69it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2093411.79it/s]
Sample 9 completed
Generating sample 10/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13862/17071 [00:00<00:00, 138614.18it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138360.42it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2105848.76it/s]
Sample 10 completed
Generating sample 11/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13575/17071 [00:00<00:00, 135738.16it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 131956.10it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2026920.41it/s]
Sample 11 completed
Generating sample 12/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13645/17071 [00:00<00:00, 136442.32it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136777.75it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1964846.29it/s]
Sample 12 completed
Generating sample 13/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13676/17071 [00:00<00:00, 136749.70it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136640.45it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2043464.81it/s]
Sample 13 completed
Generating sample 14/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13739/17071 [00:00<00:00, 137383.58it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137236.79it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2026346.78it/s]
Sample 14 completed
Generating sample 15/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13717/17071 [00:00<00:00, 137158.69it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136919.25it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1992125.19it/s]
Sample 15 completed
Generating sample 16/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13811/17071 [00:00<00:00, 138099.60it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137909.51it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1969494.25it/s]
Sample 16 completed
Generating sample 17/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13672/17071 [00:00<00:00, 136714.59it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136420.21it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1974273.13it/s]
Sample 17 completed
Generating sample 18/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13394/17071 [00:00<00:00, 133932.46it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134263.97it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1937255.51it/s]
Sample 18 completed
Generating sample 19/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13490/17071 [00:00<00:00, 134890.16it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135307.80it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1937570.05it/s]
Sample 19 completed
Generating sample 20/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13558/17071 [00:00<00:00, 135569.79it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135521.13it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2104548.93it/s]
Sample 20 completed
Generating sample 21/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13492/17071 [00:00<00:00, 134911.77it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134826.76it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2089380.01it/s]
Sample 21 completed
Generating sample 22/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13607/17071 [00:00<00:00, 136064.29it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136016.71it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2064380.22it/s]
Sample 22 completed
Generating sample 23/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13504/17071 [00:00<00:00, 135030.47it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135158.38it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2069870.59it/s]
Sample 23 completed
Generating sample 24/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13797/17071 [00:00<00:00, 137964.21it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 28581.35it/s] 

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1741268.57it/s]
Sample 24 completed
Generating sample 25/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13264/17071 [00:00<00:00, 132631.90it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 132518.55it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1963983.97it/s]
Sample 25 completed
Generating sample 26/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  77%|███████▋  | 13178/17071 [00:00<00:00, 131773.84it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 132166.55it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1903724.01it/s]
Sample 26 completed
Generating sample 27/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  77%|███████▋  | 13093/17071 [00:00<00:00, 130922.01it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 131964.37it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2064142.17it/s]
Sample 27 completed
Generating sample 28/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13700/17071 [00:00<00:00, 136990.33it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136038.42it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2025830.79it/s]
Sample 28 completed
Generating sample 29/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  77%|███████▋  | 13116/17071 [00:00<00:00, 131156.69it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 131083.04it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2010303.05it/s]
Sample 29 completed
Generating sample 30/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  67%|██████▋   | 11517/17071 [00:00<00:00, 115162.42it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 119887.22it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2217159.95it/s]
Sample 30 completed
Generating sample 31/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  75%|███████▍  | 12727/17071 [00:00<00:00, 127266.78it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 122911.88it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1958718.74it/s]
Sample 31 completed
Generating sample 32/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  76%|███████▋  | 13048/17071 [00:00<00:00, 130471.10it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 131493.97it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1963230.06it/s]
Sample 32 completed
Generating sample 33/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13633/17071 [00:00<00:00, 136325.90it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135423.99it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1940931.51it/s]
Sample 33 completed
Generating sample 34/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13231/17071 [00:00<00:00, 132297.19it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 132152.40it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1923464.43it/s]
Sample 34 completed
Generating sample 35/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  77%|███████▋  | 13185/17071 [00:00<00:00, 131841.64it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 132930.15it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2014148.46it/s]
Sample 35 completed
Generating sample 36/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13775/17071 [00:00<00:00, 137739.29it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136531.54it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2048258.25it/s]
Sample 36 completed
Generating sample 37/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  74%|███████▍  | 12598/17071 [00:00<00:00, 125969.31it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 127577.51it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2020856.41it/s]
Sample 37 completed
Generating sample 38/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  76%|███████▌  | 12946/17071 [00:00<00:00, 129455.80it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 129477.10it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1961186.65it/s]
Sample 38 completed
Generating sample 39/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13259/17071 [00:00<00:00, 132579.06it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133435.76it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1989634.13it/s]
Sample 39 completed
Generating sample 40/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13381/17071 [00:00<00:00, 133805.98it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133474.32it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1996457.83it/s]
Sample 40 completed
Generating sample 41/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13274/17071 [00:00<00:00, 132725.57it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133016.09it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1950873.62it/s]
Sample 41 completed
Generating sample 42/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  52%|█████▏    | 8837/17071 [00:00<00:00, 16908.13it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 29253.46it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1948802.80it/s]
Sample 42 completed
Generating sample 43/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13813/17071 [00:00<00:00, 138122.56it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137971.43it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1951990.50it/s]
Sample 43 completed
Generating sample 44/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13653/17071 [00:00<00:00, 136519.39it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 132783.96it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1956417.39it/s]
Sample 44 completed
Generating sample 45/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13827/17071 [00:00<00:00, 138259.58it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138639.04it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1983571.03it/s]
Sample 45 completed
Generating sample 46/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13778/17071 [00:00<00:00, 137775.53it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137634.61it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1995623.17it/s]
Sample 46 completed
Generating sample 47/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13827/17071 [00:00<00:00, 138259.91it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138036.60it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1991183.39it/s]
Sample 47 completed
Generating sample 48/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████▏ | 13895/17071 [00:00<00:00, 138947.15it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138806.21it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1970469.87it/s]
Sample 48 completed
Generating sample 49/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13559/17071 [00:00<00:00, 135582.05it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135478.82it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1898373.77it/s]
Sample 49 completed
Generating sample 50/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  77%|███████▋  | 13081/17071 [00:00<00:00, 130794.53it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 132126.79it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1944568.69it/s]
Sample 50 completed
Generating sample 51/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  77%|███████▋  | 13124/17071 [00:00<00:00, 131232.30it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 131983.59it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2045624.92it/s]
Sample 51 completed
Generating sample 52/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████▏ | 13887/17071 [00:00<00:00, 138865.17it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138647.63it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2026174.76it/s]
Sample 52 completed
Generating sample 53/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13631/17071 [00:00<00:00, 136303.31it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136176.32it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1897267.11it/s]
Sample 53 completed
Generating sample 54/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13730/17071 [00:00<00:00, 137291.62it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137154.77it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2012506.71it/s]
Sample 54 completed
Generating sample 55/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  69%|██████▉   | 11780/17071 [00:00<00:00, 117789.44it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 122744.58it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1991349.53it/s]
Sample 55 completed
Generating sample 56/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13581/17071 [00:00<00:00, 135798.80it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 132215.36it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2032097.73it/s]
Sample 56 completed
Generating sample 57/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13629/17071 [00:00<00:00, 136281.36it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136084.18it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2010980.58it/s]
Sample 57 completed
Generating sample 58/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████▏ | 13896/17071 [00:00<00:00, 138957.81it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138845.51it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1947477.66it/s]
Sample 58 completed
Generating sample 59/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  34%|███▎      | 5729/17071 [00:00<00:00, 11893.96it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 30159.41it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1671786.96it/s]
Sample 59 completed
Generating sample 60/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13804/17071 [00:00<00:00, 138032.89it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137909.78it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1990187.16it/s]
Sample 60 completed
Generating sample 61/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13643/17071 [00:00<00:00, 136421.35it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136411.37it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1965061.99it/s]
Sample 61 completed
Generating sample 62/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13851/17071 [00:00<00:00, 138506.50it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138315.25it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1916770.54it/s]
Sample 62 completed
Generating sample 63/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13659/17071 [00:00<00:00, 136585.90it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137201.29it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1904483.55it/s]
Sample 63 completed
Generating sample 64/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13502/17071 [00:00<00:00, 135008.54it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134950.00it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2018179.25it/s]
Sample 64 completed
Generating sample 65/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13546/17071 [00:00<00:00, 135450.12it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135314.70it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2015168.83it/s]
Sample 65 completed
Generating sample 66/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13750/17071 [00:00<00:00, 137493.25it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137250.21it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1978856.47it/s]
Sample 66 completed
Generating sample 67/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13540/17071 [00:00<00:00, 135392.06it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135183.39it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1887016.75it/s]
Sample 67 completed
Generating sample 68/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13767/17071 [00:00<00:00, 137658.64it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137380.04it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1938829.23it/s]
Sample 68 completed
Generating sample 69/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  76%|███████▌  | 13013/17071 [00:00<00:00, 130123.61it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 130687.79it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1920369.15it/s]
Sample 69 completed
Generating sample 70/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13510/17071 [00:00<00:00, 135096.59it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135230.62it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1896563.55it/s]
Sample 70 completed
Generating sample 71/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13523/17071 [00:00<00:00, 135224.00it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135117.32it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2048844.35it/s]
Sample 71 completed
Generating sample 72/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13717/17071 [00:00<00:00, 137157.38it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136915.32it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1981265.77it/s]
Sample 72 completed
Generating sample 73/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13549/17071 [00:00<00:00, 135475.59it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135404.78it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2027666.62it/s]
Sample 73 completed
Generating sample 74/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  69%|██████▊   | 11706/17071 [00:00<00:00, 117052.30it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 121937.91it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2039216.32it/s]
Sample 74 completed
Generating sample 75/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13551/17071 [00:00<00:00, 135502.70it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 31231.09it/s] 

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2006078.77it/s]
Sample 75 completed
Generating sample 76/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13701/17071 [00:00<00:00, 137003.92it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136352.66it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1942247.76it/s]
Sample 76 completed
Generating sample 77/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13685/17071 [00:00<00:00, 136843.61it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137190.51it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1950023.52it/s]
Sample 77 completed
Generating sample 78/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13588/17071 [00:00<00:00, 135875.27it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135962.99it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1933384.55it/s]
Sample 78 completed
Generating sample 79/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13391/17071 [00:00<00:00, 133897.68it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133827.32it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1950023.52it/s]
Sample 79 completed
Generating sample 80/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13779/17071 [00:00<00:00, 137778.63it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137332.34it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1896061.32it/s]
Sample 80 completed
Generating sample 81/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13544/17071 [00:00<00:00, 135436.25it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135207.64it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1951352.13it/s]
Sample 81 completed
Generating sample 82/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13654/17071 [00:00<00:00, 136533.95it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136979.76it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1946365.93it/s]
Sample 82 completed
Generating sample 83/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  77%|███████▋  | 13102/17071 [00:00<00:00, 131006.07it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 131224.30it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2069093.01it/s]
Sample 83 completed
Generating sample 84/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13697/17071 [00:00<00:00, 136958.38it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136903.02it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2026346.78it/s]
Sample 84 completed
Generating sample 85/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13282/17071 [00:00<00:00, 132808.09it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 132802.68it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1955936.39it/s]
Sample 85 completed
Generating sample 86/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13691/17071 [00:00<00:00, 136901.64it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136815.91it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1942405.83it/s]
Sample 86 completed
Generating sample 87/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  68%|██████▊   | 11628/17071 [00:00<00:00, 116275.40it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 116846.50it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1854658.95it/s]
Sample 87 completed
Generating sample 88/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13702/17071 [00:00<00:00, 137014.58it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136818.26it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1950448.48it/s]
Sample 88 completed
Generating sample 89/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13476/17071 [00:00<00:00, 134749.53it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134548.32it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1924964.07it/s]
Sample 89 completed
Generating sample 90/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13662/17071 [00:00<00:00, 136616.87it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136415.27it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1978364.38it/s]
Sample 90 completed
Generating sample 91/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▊  | 13407/17071 [00:00<00:00, 134057.98it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134416.97it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2001704.32it/s]
Sample 91 completed
Generating sample 92/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13747/17071 [00:00<00:00, 137465.21it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137792.21it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1869965.10it/s]
Sample 92 completed
Generating sample 93/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  52%|█████▏    | 8821/17071 [00:00<00:00, 17762.12it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 30618.71it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1984450.64it/s]
Sample 93 completed
Generating sample 94/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13788/17071 [00:00<00:00, 137866.00it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137818.20it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2012506.71it/s]
Sample 94 completed
Generating sample 95/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13333/17071 [00:00<00:00, 133319.32it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 132908.93it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1938881.73it/s]
Sample 95 completed
Generating sample 96/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13681/17071 [00:00<00:00, 136803.93it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137144.79it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1926828.94it/s]
Sample 96 completed
Generating sample 97/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13567/17071 [00:00<00:00, 135660.43it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135347.96it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1948537.63it/s]
Sample 97 completed
Generating sample 98/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  77%|███████▋  | 13204/17071 [00:00<00:00, 132028.79it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 131833.41it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1982856.93it/s]
Sample 98 completed
Generating sample 99/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13566/17071 [00:00<00:00, 135649.46it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135227.56it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2001648.36it/s]
Sample 99 completed
Generating sample 100/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13827/17071 [00:00<00:00, 138262.88it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138004.41it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2000809.36it/s]
Sample 100 completed
Generating sample 101/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13609/17071 [00:00<00:00, 136082.34it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136171.66it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1972261.01it/s]
Sample 101 completed
Generating sample 102/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13701/17071 [00:00<00:00, 136999.68it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136873.71it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2074969.24it/s]
Sample 102 completed
Generating sample 103/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13507/17071 [00:00<00:00, 135061.43it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134831.33it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2086275.16it/s]
Sample 103 completed
Generating sample 104/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  70%|██████▉   | 11866/17071 [00:00<00:00, 118654.17it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 122905.34it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1989468.29it/s]
Sample 104 completed
Generating sample 105/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13550/17071 [00:00<00:00, 135492.70it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135310.87it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1907172.14it/s]
Sample 105 completed
Generating sample 106/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13381/17071 [00:00<00:00, 133805.98it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 129941.88it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1977708.64it/s]
Sample 106 completed
Generating sample 107/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13713/17071 [00:00<00:00, 137124.57it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136993.12it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1976725.85it/s]
Sample 107 completed
Generating sample 108/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13818/17071 [00:00<00:00, 138171.24it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137818.20it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1976889.58it/s]
Sample 108 completed
Generating sample 109/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  76%|███████▌  | 12995/17071 [00:00<00:00, 129945.48it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 30964.71it/s] 

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1933488.97it/s]
Sample 109 completed
Generating sample 110/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13599/17071 [00:00<00:00, 135976.51it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136261.32it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1916667.92it/s]
Sample 110 completed
Generating sample 111/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████▏ | 13897/17071 [00:00<00:00, 138963.51it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138601.74it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2090111.91it/s]
Sample 111 completed
Generating sample 112/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13543/17071 [00:00<00:00, 135424.32it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135172.93it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1961723.98it/s]
Sample 112 completed
Generating sample 113/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13373/17071 [00:00<00:00, 133722.79it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133259.44it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1960005.57it/s]
Sample 113 completed
Generating sample 114/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13330/17071 [00:00<00:00, 133287.73it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133144.21it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1998742.81it/s]
Sample 114 completed
Generating sample 115/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▊  | 13419/17071 [00:00<00:00, 134180.53it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134461.90it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2020001.23it/s]
Sample 115 completed
Generating sample 116/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  69%|██████▊   | 11735/17071 [00:00<00:00, 117345.92it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 122067.63it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1827907.47it/s]
Sample 116 completed
Generating sample 117/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13594/17071 [00:00<00:00, 135934.94it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135837.88it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2009569.56it/s]
Sample 117 completed
Generating sample 118/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13514/17071 [00:00<00:00, 135132.07it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 131366.59it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1963230.06it/s]
Sample 118 completed
Generating sample 119/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13644/17071 [00:00<00:00, 136436.55it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136618.29it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1894455.98it/s]
Sample 119 completed
Generating sample 120/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13786/17071 [00:00<00:00, 137854.87it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138210.06it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1889107.79it/s]
Sample 120 completed
Generating sample 121/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13737/17071 [00:00<00:00, 137364.24it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137258.37it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2058031.20it/s]
Sample 121 completed
Generating sample 122/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13586/17071 [00:00<00:00, 135854.95it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135666.21it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2002880.18it/s]
Sample 122 completed
Generating sample 123/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13584/17071 [00:00<00:00, 135828.47it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135960.40it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1940668.48it/s]
Sample 123 completed
Generating sample 124/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13575/17071 [00:00<00:00, 135743.66it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135722.27it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2041425.66it/s]
Sample 124 completed
Generating sample 125/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13690/17071 [00:00<00:00, 136891.64it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136643.06it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2021826.50it/s]
Sample 125 completed
Generating sample 126/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13689/17071 [00:00<00:00, 136873.81it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 29706.06it/s] 

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1849915.09it/s]
Sample 126 completed
Generating sample 127/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13761/17071 [00:00<00:00, 137126.92it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137575.63it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1953481.67it/s]
Sample 127 completed
Generating sample 128/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  70%|██████▉   | 11885/17071 [00:00<00:00, 118847.00it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 123225.58it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2166181.51it/s]
Sample 128 completed
Generating sample 129/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13530/17071 [00:00<00:00, 135297.23it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 131774.69it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1867136.84it/s]
Sample 129 completed
Generating sample 130/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13721/17071 [00:00<00:00, 137199.66it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136962.47it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1911601.98it/s]
Sample 130 completed
Generating sample 131/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13601/17071 [00:00<00:00, 136005.59it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135790.74it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1930205.25it/s]
Sample 131 completed
Generating sample 132/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13706/17071 [00:00<00:00, 137055.56it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137461.80it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1838750.99it/s]
Sample 132 completed
Generating sample 133/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13287/17071 [00:00<00:00, 132862.52it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 132758.11it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2005685.41it/s]
Sample 133 completed
Generating sample 134/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  82%|████████▏ | 14006/17071 [00:00<00:00, 140056.13it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 139887.71it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2227090.62it/s]
Sample 134 completed
Generating sample 135/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13845/17071 [00:00<00:00, 138445.84it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138198.32it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1994066.99it/s]
Sample 135 completed
Generating sample 136/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13730/17071 [00:00<00:00, 137292.60it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137240.48it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2011037.06it/s]
Sample 136 completed
Generating sample 137/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13473/17071 [00:00<00:00, 134721.78it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134766.62it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1977490.16it/s]
Sample 137 completed
Generating sample 138/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13529/17071 [00:00<00:00, 135277.87it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135138.23it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1899481.72it/s]
Sample 138 completed
Generating sample 139/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13669/17071 [00:00<00:00, 136438.68it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136847.55it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1930986.07it/s]
Sample 139 completed
Generating sample 140/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13739/17071 [00:00<00:00, 137380.96it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137759.60it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1916975.81it/s]
Sample 140 completed
Generating sample 141/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  70%|███████   | 11973/17071 [00:00<00:00, 119722.41it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 124451.77it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1968790.24it/s]
Sample 141 completed
Generating sample 142/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13604/17071 [00:00<00:00, 136033.32it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135922.72it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2142971.49it/s]
Sample 142 completed
Generating sample 143/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13590/17071 [00:00<00:00, 135896.57it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 131989.67it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2087978.64it/s]
Sample 143 completed
Generating sample 144/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  24%|██▎       | 4021/17071 [00:00<00:01, 8760.89it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 30749.35it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1993622.82it/s]
Sample 144 completed
Generating sample 145/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13765/17071 [00:00<00:00, 137642.91it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137597.84it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1941721.05it/s]
Sample 145 completed
Generating sample 146/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13791/17071 [00:00<00:00, 137902.90it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137563.74it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1984450.64it/s]
Sample 146 completed
Generating sample 147/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13773/17071 [00:00<00:00, 137722.91it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137507.20it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2007147.24it/s]
Sample 147 completed
Generating sample 148/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13767/17071 [00:00<00:00, 137666.19it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137413.52it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2005516.88it/s]
Sample 148 completed
Generating sample 149/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13339/17071 [00:00<00:00, 133379.32it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133246.79it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1912572.15it/s]
Sample 149 completed
Generating sample 150/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13765/17071 [00:00<00:00, 137635.69it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137545.24it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2022740.37it/s]
Sample 150 completed
Generating sample 151/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13577/17071 [00:00<00:00, 135764.95it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136257.17it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1955562.45it/s]
Sample 151 completed
Generating sample 152/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13743/17071 [00:00<00:00, 137422.27it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137390.84it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2094514.07it/s]
Sample 152 completed
Generating sample 153/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13467/17071 [00:00<00:00, 134658.89it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134560.20it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2058386.19it/s]
Sample 153 completed
Generating sample 154/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13643/17071 [00:00<00:00, 136415.49it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136400.20it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1960810.70it/s]
Sample 154 completed
Generating sample 155/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13635/17071 [00:00<00:00, 136339.08it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136269.36it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2018691.35it/s]
Sample 155 completed
Generating sample 156/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13663/17071 [00:00<00:00, 136623.29it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136370.06it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1916873.17it/s]
Sample 156 completed
Generating sample 157/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13483/17071 [00:00<00:00, 134823.38it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134763.32it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1930569.55it/s]
Sample 157 completed
Generating sample 158/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  69%|██████▉   | 11814/17071 [00:00<00:00, 118132.51it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 123083.87it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1933697.84it/s]
Sample 158 completed
Generating sample 159/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13534/17071 [00:00<00:00, 135334.00it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135223.47it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1937465.19it/s]
Sample 159 completed
Generating sample 160/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13460/17071 [00:00<00:00, 134597.24it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 30417.79it/s] 

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1897669.39it/s]
Sample 160 completed
Generating sample 161/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13710/17071 [00:00<00:00, 137089.34it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136769.39it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2052485.70it/s]
Sample 161 completed
Generating sample 162/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13487/17071 [00:00<00:00, 134865.63it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134766.36it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1978200.40it/s]
Sample 162 completed
Generating sample 163/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13382/17071 [00:00<00:00, 133811.51it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133737.84it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1941931.70it/s]
Sample 163 completed
Generating sample 164/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13502/17071 [00:00<00:00, 135011.12it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135370.22it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1995011.52it/s]
Sample 164 completed
Generating sample 165/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  77%|███████▋  | 13085/17071 [00:00<00:00, 130837.96it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 131222.86it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1840736.38it/s]
Sample 165 completed
Generating sample 166/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13331/17071 [00:00<00:00, 133302.50it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133330.91it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1957005.59it/s]
Sample 166 completed
Generating sample 167/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13494/17071 [00:00<00:00, 134929.83it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134912.37it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1923464.43it/s]
Sample 167 completed
Generating sample 168/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13688/17071 [00:00<00:00, 136872.95it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136673.32it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2067957.59it/s]
Sample 168 completed
Generating sample 169/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13554/17071 [00:00<00:00, 135532.37it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135924.01it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2042240.83it/s]
Sample 169 completed
Generating sample 170/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13354/17071 [00:00<00:00, 133531.85it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134038.02it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2054900.80it/s]
Sample 170 completed
Generating sample 171/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  69%|██████▊   | 11704/17071 [00:00<00:00, 117036.76it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 117239.29it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1971012.29it/s]
Sample 171 completed
Generating sample 172/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13645/17071 [00:00<00:00, 136443.95it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136423.07it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2016871.74it/s]
Sample 172 completed
Generating sample 173/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13659/17071 [00:00<00:00, 136579.38it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136268.58it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1954174.77it/s]
Sample 173 completed
Generating sample 174/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13717/17071 [00:00<00:00, 137161.30it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137070.75it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1961132.94it/s]
Sample 174 completed
Generating sample 175/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13447/17071 [00:00<00:00, 134467.24it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134132.68it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1898625.47it/s]
Sample 175 completed
Generating sample 176/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13583/17071 [00:00<00:00, 135825.92it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135775.55it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1996012.59it/s]
Sample 176 completed
Generating sample 177/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  38%|███▊      | 6413/17071 [00:00<00:00, 13333.88it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 30524.15it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1880277.41it/s]
Sample 177 completed
Generating sample 178/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13497/17071 [00:00<00:00, 134960.15it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135304.48it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1949174.16it/s]
Sample 178 completed
Generating sample 179/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13576/17071 [00:00<00:00, 135755.92it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135774.78it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2043289.87it/s]
Sample 179 completed
Generating sample 180/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13822/17071 [00:00<00:00, 138216.84it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138055.23it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2122453.34it/s]
Sample 180 completed
Generating sample 181/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13619/17071 [00:00<00:00, 136182.99it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136503.69it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1917129.80it/s]
Sample 181 completed
Generating sample 182/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13528/17071 [00:00<00:00, 135271.42it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135241.61it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2004899.16it/s]
Sample 182 completed
Generating sample 183/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13297/17071 [00:00<00:00, 132958.08it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133193.25it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1947636.58it/s]
Sample 183 completed
Generating sample 184/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13717/17071 [00:00<00:00, 137158.36it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137036.91it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1992790.53it/s]
Sample 184 completed
Generating sample 185/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13544/17071 [00:00<00:00, 135436.90it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135575.02it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1848768.72it/s]
Sample 185 completed
Generating sample 186/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13705/17071 [00:00<00:00, 137040.98it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136820.09it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1904179.66it/s]
Sample 186 completed
Generating sample 187/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13593/17071 [00:00<00:00, 135920.41it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135674.18it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1959093.89it/s]
Sample 187 completed
Generating sample 188/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  69%|██████▉   | 11742/17071 [00:00<00:00, 117413.95it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 122272.54it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1932758.29it/s]
Sample 188 completed
Generating sample 189/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13599/17071 [00:00<00:00, 135978.46it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136583.37it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1892303.07it/s]
Sample 189 completed
Generating sample 190/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13513/17071 [00:00<00:00, 135124.97it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 131410.71it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2004730.75it/s]
Sample 190 completed
Generating sample 191/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13570/17071 [00:00<00:00, 135696.25it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135451.40it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1996958.96it/s]
Sample 191 completed
Generating sample 192/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13672/17071 [00:00<00:00, 136714.92it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136353.44it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1916873.17it/s]
Sample 192 completed
Generating sample 193/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  77%|███████▋  | 13206/17071 [00:00<00:00, 132050.05it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 131802.10it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1913134.28it/s]
Sample 193 completed
Generating sample 194/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  20%|█▉        | 3339/17071 [00:00<00:01, 7415.99it/s]
Calculating metrics (sequential):  98%|█████████▊| 16650/17071 [00:00<00:00, 37690.89it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 30838.43it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1947212.85it/s]
Sample 194 completed
Generating sample 195/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13583/17071 [00:00<00:00, 135820.41it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135783.53it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1901449.00it/s]
Sample 195 completed
Generating sample 196/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13474/17071 [00:00<00:00, 134729.21it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134696.64it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1995178.30it/s]
Sample 196 completed
Generating sample 197/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▊  | 13419/17071 [00:00<00:00, 134183.41it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134058.59it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1954761.63it/s]
Sample 197 completed
Generating sample 198/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▊  | 13410/17071 [00:00<00:00, 134093.41it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134087.47it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1930934.00it/s]
Sample 198 completed
Generating sample 199/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13618/17071 [00:00<00:00, 136176.23it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135942.59it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1881463.20it/s]
Sample 199 completed
Generating sample 200/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▊  | 13409/17071 [00:00<00:00, 134076.38it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134775.24it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1872801.94it/s]
Sample 200 completed
Generating sample 201/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13633/17071 [00:00<00:00, 136325.25it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136002.76it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1947636.58it/s]
Sample 201 completed
Generating sample 202/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  68%|██████▊   | 11645/17071 [00:00<00:00, 116444.56it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 120680.93it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1980827.28it/s]
Sample 202 completed
Generating sample 203/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▊  | 13429/17071 [00:00<00:00, 134282.12it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 130529.83it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1901297.53it/s]
Sample 203 completed
Generating sample 204/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13495/17071 [00:00<00:00, 134945.95it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134907.03it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1935161.18it/s]
Sample 204 completed
Generating sample 205/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13633/17071 [00:00<00:00, 136322.33it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135954.72it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1999747.62it/s]
Sample 205 completed
Generating sample 206/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13315/17071 [00:00<00:00, 133141.87it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133049.21it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1979512.97it/s]
Sample 206 completed
Generating sample 207/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13611/17071 [00:00<00:00, 136105.91it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135816.50it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1964738.46it/s]
Sample 207 completed
Generating sample 208/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13520/17071 [00:00<00:00, 135192.39it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135797.95it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1904179.66it/s]
Sample 208 completed
Generating sample 209/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13375/17071 [00:00<00:00, 133738.33it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134103.79it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1968898.52it/s]
Sample 209 completed
Generating sample 210/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13570/17071 [00:00<00:00, 135697.22it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135398.38it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2019374.55it/s]
Sample 210 completed
Generating sample 211/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  25%|██▌       | 4353/17071 [00:00<00:01, 9338.17it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 30463.48it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1887215.70it/s]
Sample 211 completed
Generating sample 212/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13325/17071 [00:00<00:00, 133238.69it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133730.09it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1984670.67it/s]
Sample 212 completed
Generating sample 213/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13541/17071 [00:00<00:00, 135402.38it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135205.85it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1951033.10it/s]
Sample 213 completed
Generating sample 214/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13753/17071 [00:00<00:00, 137526.20it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137420.64it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2008554.86it/s]
Sample 214 completed
Generating sample 215/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13569/17071 [00:00<00:00, 135683.66it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135130.32it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1747046.74it/s]
Sample 215 completed
Generating sample 216/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13250/17071 [00:00<00:00, 132491.91it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 132737.19it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1930465.45it/s]
Sample 216 completed
Generating sample 217/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▊  | 13441/17071 [00:00<00:00, 134405.64it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134627.50it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1854851.14it/s]
Sample 217 completed
Generating sample 218/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13735/17071 [00:00<00:00, 137345.22it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137645.98it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1946736.37it/s]
Sample 218 completed
Generating sample 219/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13715/17071 [00:00<00:00, 137143.59it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136944.65it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2027896.33it/s]
Sample 219 completed
Generating sample 220/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13766/17071 [00:00<00:00, 137649.30it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137509.32it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2084089.06it/s]
Sample 220 completed
Generating sample 221/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13767/17071 [00:00<00:00, 137665.86it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137312.59it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2001368.62it/s]
Sample 221 completed
Generating sample 222/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  68%|██████▊   | 11593/17071 [00:00<00:00, 115920.16it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 120194.13it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1985826.59it/s]
Sample 222 completed
Generating sample 223/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13312/17071 [00:00<00:00, 133114.41it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 129171.80it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1987756.13it/s]
Sample 223 completed
Generating sample 224/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13705/17071 [00:00<00:00, 137044.58it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136790.03it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1921915.54it/s]
Sample 224 completed
Generating sample 225/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13593/17071 [00:00<00:00, 135924.30it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135505.74it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1850967.18it/s]
Sample 225 completed
Generating sample 226/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13491/17071 [00:00<00:00, 134900.48it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135228.32it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1904888.89it/s]
Sample 226 completed
Generating sample 227/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  60%|█████▉    | 10215/17071 [00:00<00:00, 22753.41it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 34133.98it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1926362.39it/s]
Sample 227 completed
Generating sample 228/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13711/17071 [00:00<00:00, 137099.02it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137233.90it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2003664.85it/s]
Sample 228 completed
Generating sample 229/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13654/17071 [00:00<00:00, 136533.29it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136510.98it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1951139.43it/s]
Sample 229 completed
Generating sample 230/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13321/17071 [00:00<00:00, 133196.15it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133200.93it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1971609.31it/s]
Sample 230 completed
Generating sample 231/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13801/17071 [00:00<00:00, 137999.93it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138450.85it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1934063.47it/s]
Sample 231 completed
Generating sample 232/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  77%|███████▋  | 13182/17071 [00:00<00:00, 131811.01it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 131863.27it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2110690.79it/s]
Sample 232 completed
Generating sample 233/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13396/17071 [00:00<00:00, 133952.46it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133790.56it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1983680.94it/s]
Sample 233 completed
Generating sample 234/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13494/17071 [00:00<00:00, 134932.41it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134929.91it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1993622.82it/s]
Sample 234 completed
Generating sample 235/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  69%|██████▉   | 11833/17071 [00:00<00:00, 118320.24it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 118328.95it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1916667.92it/s]
Sample 235 completed
Generating sample 236/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13812/17071 [00:00<00:00, 138108.94it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137942.72it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2026002.76it/s]
Sample 236 completed
Generating sample 237/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13765/17071 [00:00<00:00, 137643.57it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138045.11it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1971663.60it/s]
Sample 237 completed
Generating sample 238/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13596/17071 [00:00<00:00, 135954.30it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136506.03it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1953694.88it/s]
Sample 238 completed
Generating sample 239/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13709/17071 [00:00<00:00, 137086.86it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136997.32it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2009795.19it/s]
Sample 239 completed
Generating sample 240/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▊  | 13408/17071 [00:00<00:00, 134068.30it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133672.42it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2073527.08it/s]
Sample 240 completed
Generating sample 241/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13513/17071 [00:00<00:00, 135117.57it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135030.68it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2001424.56it/s]
Sample 241 completed
Generating sample 242/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13639/17071 [00:00<00:00, 136381.03it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136500.83it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1929945.11it/s]
Sample 242 completed
Generating sample 243/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13665/17071 [00:00<00:00, 136639.38it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136152.50it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1961401.55it/s]
Sample 243 completed
Generating sample 244/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  42%|████▏     | 7124/17071 [00:00<00:00, 14804.22it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 30821.58it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1958450.86it/s]
Sample 244 completed
Generating sample 245/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13698/17071 [00:00<00:00, 136971.97it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136797.61it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1967437.79it/s]
Sample 245 completed
Generating sample 246/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13744/17071 [00:00<00:00, 137427.68it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137860.65it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2037939.42it/s]
Sample 246 completed
Generating sample 247/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13762/17071 [00:00<00:00, 137616.19it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137410.62it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1984230.67it/s]
Sample 247 completed
Generating sample 248/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13804/17071 [00:00<00:00, 138029.60it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137789.02it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1914361.89it/s]
Sample 248 completed
Generating sample 249/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13797/17071 [00:00<00:00, 137963.88it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137611.59it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1914054.84it/s]
Sample 249 completed
Generating sample 250/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  70%|██████▉   | 11949/17071 [00:00<00:00, 119479.57it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 124324.71it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1929737.05it/s]
Sample 250 completed
Generating sample 251/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13717/17071 [00:00<00:00, 137162.94it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137134.55it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2009682.37it/s]
Sample 251 completed
Generating sample 252/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13506/17071 [00:00<00:00, 135051.76it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 131331.89it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2034927.63it/s]
Sample 252 completed
Generating sample 253/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13743/17071 [00:00<00:00, 137424.89it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137326.02it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2043756.45it/s]
Sample 253 completed
Generating sample 254/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13760/17071 [00:00<00:00, 137588.65it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137310.48it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1927555.15it/s]
Sample 254 completed
Generating sample 255/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13763/17071 [00:00<00:00, 137624.23it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137515.92it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1977981.81it/s]
Sample 255 completed
Generating sample 256/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  82%|████████▏ | 13936/17071 [00:00<00:00, 139351.83it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 139073.39it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1959844.63it/s]
Sample 256 completed
Generating sample 257/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13705/17071 [00:00<00:00, 137041.96it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137328.66it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1974273.13it/s]
Sample 257 completed
Generating sample 258/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13718/17071 [00:00<00:00, 137170.32it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137575.63it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1959469.19it/s]
Sample 258 completed
Generating sample 259/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13764/17071 [00:00<00:00, 137628.65it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138082.38it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1947689.56it/s]
Sample 259 completed
Generating sample 260/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13543/17071 [00:00<00:00, 135417.21it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135476.51it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2050957.11it/s]
Sample 260 completed
Generating sample 261/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  74%|███████▍  | 12629/17071 [00:00<00:00, 23428.76it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 29787.29it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1846670.71it/s]
Sample 261 completed
Generating sample 262/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13455/17071 [00:00<00:00, 134537.94it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134444.23it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1956150.14it/s]
Sample 262 completed
Generating sample 263/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13633/17071 [00:00<00:00, 136318.10it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136241.87it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1991681.88it/s]
Sample 263 completed
Generating sample 264/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  68%|██████▊   | 11642/17071 [00:00<00:00, 116409.56it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 116365.30it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2055431.71it/s]
Sample 264 completed
Generating sample 265/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13368/17071 [00:00<00:00, 133673.43it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133756.07it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2098565.71it/s]
Sample 265 completed
Generating sample 266/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▊  | 13431/17071 [00:00<00:00, 134299.56it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134288.15it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2011602.06it/s]
Sample 266 completed
Generating sample 267/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▊  | 13441/17071 [00:00<00:00, 134400.84it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134184.71it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1918516.75it/s]
Sample 267 completed
Generating sample 268/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13495/17071 [00:00<00:00, 134943.05it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134972.39it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1866260.85it/s]
Sample 268 completed
Generating sample 269/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13526/17071 [00:00<00:00, 135246.26it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135303.96it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2038693.76it/s]
Sample 269 completed
Generating sample 270/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13517/17071 [00:00<00:00, 135158.21it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135039.59it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2017724.27it/s]
Sample 270 completed
Generating sample 271/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13516/17071 [00:00<00:00, 135153.68it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135280.96it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2039971.61it/s]
Sample 271 completed
Generating sample 272/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▊  | 13415/17071 [00:00<00:00, 134138.29it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134178.43it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2020229.21it/s]
Sample 272 completed
Generating sample 273/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13757/17071 [00:00<00:00, 137566.20it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137306.80it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1973837.73it/s]
Sample 273 completed
Generating sample 274/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  76%|███████▌  | 12995/17071 [00:00<00:00, 129946.41it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 129734.69it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1969765.16it/s]
Sample 274 completed
Generating sample 275/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13721/17071 [00:00<00:00, 137202.61it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137059.99it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1933332.35it/s]
Sample 275 completed
Generating sample 276/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13760/17071 [00:00<00:00, 137587.01it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137347.89it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1998631.22it/s]
Sample 276 completed
Generating sample 277/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13653/17071 [00:00<00:00, 136526.88it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136393.96it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1935475.04it/s]
Sample 277 completed
Generating sample 278/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  56%|█████▌    | 9555/17071 [00:00<00:00, 18499.08it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 29822.27it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1864559.87it/s]
Sample 278 completed
Generating sample 279/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13801/17071 [00:00<00:00, 138001.25it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137827.75it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1987039.01it/s]
Sample 279 completed
Generating sample 280/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13814/17071 [00:00<00:00, 138134.86it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137484.76it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1941668.39it/s]
Sample 280 completed
Generating sample 281/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13563/17071 [00:00<00:00, 135614.93it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135945.95it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1930413.40it/s]
Sample 281 completed
Generating sample 282/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13869/17071 [00:00<00:00, 138685.83it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 139056.11it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1974218.69it/s]
Sample 282 completed
Generating sample 283/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  71%|███████   | 12044/17071 [00:00<00:00, 120431.21it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 124652.84it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2097459.17it/s]
Sample 283 completed
Generating sample 284/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13561/17071 [00:00<00:00, 135602.69it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 131982.13it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2005797.79it/s]
Sample 284 completed
Generating sample 285/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████▏ | 13897/17071 [00:00<00:00, 138966.16it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138772.85it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2121321.47it/s]
Sample 285 completed
Generating sample 286/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13843/17071 [00:00<00:00, 138421.88it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138282.66it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1967491.85it/s]
Sample 286 completed
Generating sample 287/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13796/17071 [00:00<00:00, 137946.65it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137706.61it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1905801.53it/s]
Sample 287 completed
Generating sample 288/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13724/17071 [00:00<00:00, 137230.32it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137550.79it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1955829.54it/s]
Sample 288 completed
Generating sample 289/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13700/17071 [00:00<00:00, 136991.97it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137393.22it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1952895.58it/s]
Sample 289 completed
Generating sample 290/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13853/17071 [00:00<00:00, 138523.53it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138338.23it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1998129.25it/s]
Sample 290 completed
Generating sample 291/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13862/17071 [00:00<00:00, 138615.17it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138450.85it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2143228.08it/s]
Sample 291 completed
Generating sample 292/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13609/17071 [00:00<00:00, 136082.34it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135494.46it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2047496.81it/s]
Sample 292 completed
Generating sample 293/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13594/17071 [00:00<00:00, 135935.92it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135876.03it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2134665.90it/s]
Sample 293 completed
Generating sample 294/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13814/17071 [00:00<00:00, 138126.96it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137921.47it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1973674.50it/s]
Sample 294 completed
Generating sample 295/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  42%|████▏     | 7126/17071 [00:00<00:00, 14597.03it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 30319.66it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1949121.10it/s]
Sample 295 completed
Generating sample 296/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  69%|██████▉   | 11754/17071 [00:00<00:00, 117532.83it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 118452.47it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1933958.99it/s]
Sample 296 completed
Generating sample 297/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13761/17071 [00:00<00:00, 137602.91it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137235.74it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2010924.10it/s]
Sample 297 completed
Generating sample 298/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13805/17071 [00:00<00:00, 138039.93it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137794.59it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1990795.85it/s]
Sample 298 completed
Generating sample 299/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13788/17071 [00:00<00:00, 137874.54it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137706.87it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1970307.20it/s]
Sample 299 completed
Generating sample 300/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13780/17071 [00:00<00:00, 137791.92it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138149.79it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1972967.50it/s]
Sample 300 completed
Generating sample 301/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▊  | 13420/17071 [00:00<00:00, 134193.73it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134545.79it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1944674.31it/s]
Sample 301 completed
Generating sample 302/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13613/17071 [00:00<00:00, 136116.50it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136082.63it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2063428.35it/s]
Sample 302 completed
Generating sample 303/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13340/17071 [00:00<00:00, 133393.77it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133472.83it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2084756.55it/s]
Sample 303 completed
Generating sample 304/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13755/17071 [00:00<00:00, 137547.51it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137236.27it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1995233.90it/s]
Sample 304 completed
Generating sample 305/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▊  | 13424/17071 [00:00<00:00, 134222.21it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134076.42it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1683500.59it/s]
Sample 305 completed
Generating sample 306/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13642/17071 [00:00<00:00, 136407.77it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136267.54it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1909002.68it/s]
Sample 306 completed
Generating sample 307/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13791/17071 [00:00<00:00, 137899.28it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137594.93it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1892853.35it/s]
Sample 307 completed
Generating sample 308/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13709/17071 [00:00<00:00, 137079.67it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137514.60it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1920678.23it/s]
Sample 308 completed
Generating sample 309/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13778/17071 [00:00<00:00, 137774.22it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138113.55it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2045917.18it/s]
Sample 309 completed
Generating sample 310/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13271/17071 [00:00<00:00, 132701.90it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133155.11it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1946577.59it/s]
Sample 310 completed
Generating sample 311/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  77%|███████▋  | 13102/17071 [00:00<00:00, 131014.81it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 130842.54it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2012563.27it/s]
Sample 311 completed
Generating sample 312/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  50%|████▉     | 8469/17071 [00:00<00:00, 17858.32it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 31724.80it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1951937.29it/s]
Sample 312 completed
Generating sample 313/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13653/17071 [00:00<00:00, 136524.27it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136224.77it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1982637.30it/s]
Sample 313 completed
Generating sample 314/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13651/17071 [00:00<00:00, 136501.67it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136405.65it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1961777.73it/s]
Sample 314 completed
Generating sample 315/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13469/17071 [00:00<00:00, 134680.50it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135295.02it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1891253.43it/s]
Sample 315 completed
Generating sample 316/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  69%|██████▉   | 11811/17071 [00:00<00:00, 118106.17it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 122363.43it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1865142.71it/s]
Sample 316 completed
Generating sample 317/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13458/17071 [00:00<00:00, 134566.33it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 130879.13it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1905852.26it/s]
Sample 317 completed
Generating sample 318/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13620/17071 [00:00<00:00, 136193.96it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136014.12it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1967599.99it/s]
Sample 318 completed
Generating sample 319/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13771/17071 [00:00<00:00, 137706.85it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137486.87it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1968519.60it/s]
Sample 319 completed
Generating sample 320/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13822/17071 [00:00<00:00, 138206.29it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138533.09it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2020742.35it/s]
Sample 320 completed
Generating sample 321/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13601/17071 [00:00<00:00, 135997.48it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136004.82it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2002040.14it/s]
Sample 321 completed
Generating sample 322/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13640/17071 [00:00<00:00, 136396.55it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136252.25it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1986818.46it/s]
Sample 322 completed
Generating sample 323/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13512/17071 [00:00<00:00, 135114.01it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135032.72it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1949439.51it/s]
Sample 323 completed
Generating sample 324/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13471/17071 [00:00<00:00, 134700.17it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134741.25it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1951564.87it/s]
Sample 324 completed
Generating sample 325/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13769/17071 [00:00<00:00, 137685.21it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137395.85it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1949227.22it/s]
Sample 325 completed
Generating sample 326/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13653/17071 [00:00<00:00, 136518.41it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136567.22it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1936417.23it/s]
Sample 326 completed
Generating sample 327/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13669/17071 [00:00<00:00, 136678.40it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136529.72it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1925947.86it/s]
Sample 327 completed
Generating sample 328/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  70%|███████   | 11962/17071 [00:00<00:00, 119616.69it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 124251.14it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2271387.99it/s]
Sample 328 completed
Generating sample 329/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  34%|███▎      | 5749/17071 [00:00<00:00, 12172.92it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 30709.22it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1914617.85it/s]
Sample 329 completed
Generating sample 330/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13551/17071 [00:00<00:00, 135498.82it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 131795.06it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2019887.26it/s]
Sample 330 completed
Generating sample 331/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13756/17071 [00:00<00:00, 137549.64it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137320.75it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2065094.70it/s]
Sample 331 completed
Generating sample 332/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13798/17071 [00:00<00:00, 137972.57it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137568.76it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1979896.13it/s]
Sample 332 completed
Generating sample 333/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▊  | 13440/17071 [00:00<00:00, 134389.23it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134813.56it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1901045.12it/s]
Sample 333 completed
Generating sample 334/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13454/17071 [00:00<00:00, 134535.96it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135181.60it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2002152.11it/s]
Sample 334 completed
Generating sample 335/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▊  | 13425/17071 [00:00<00:00, 134238.93it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134789.19it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1976507.58it/s]
Sample 335 completed
Generating sample 336/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13573/17071 [00:00<00:00, 135718.80it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135039.59it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2006584.75it/s]
Sample 336 completed
Generating sample 337/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▊  | 13429/17071 [00:00<00:00, 134283.72it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134760.02it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2014375.12it/s]
Sample 337 completed
Generating sample 338/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  77%|███████▋  | 13217/17071 [00:00<00:00, 132162.25it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 131486.48it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1955135.26it/s]
Sample 338 completed
Generating sample 339/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▊  | 13431/17071 [00:00<00:00, 134302.12it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134684.73it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1941615.74it/s]
Sample 339 completed
Generating sample 340/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13711/17071 [00:00<00:00, 137099.34it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136741.70it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1821768.40it/s]
Sample 340 completed
Generating sample 341/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  69%|██████▊   | 11731/17071 [00:00<00:00, 117296.41it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 122653.11it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2087917.76it/s]
Sample 341 completed
Generating sample 342/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13637/17071 [00:00<00:00, 136365.90it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136079.27it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1899229.80it/s]
Sample 342 completed
Generating sample 343/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13256/17071 [00:00<00:00, 132548.12it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 128529.74it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2003328.49it/s]
Sample 343 completed
Generating sample 344/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13284/17071 [00:00<00:00, 132831.26it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 132760.33it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1956898.62it/s]
Sample 344 completed
Generating sample 345/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13353/17071 [00:00<00:00, 133522.81it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134135.44it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1947212.85it/s]
Sample 345 completed
Generating sample 346/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  21%|██▏       | 3647/17071 [00:00<00:01, 7755.25it/s]
Calculating metrics (sequential): 100%|█████████▉| 17004/17071 [00:00<00:00, 37069.92it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 29899.00it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1928489.65it/s]
Sample 346 completed
Generating sample 347/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13673/17071 [00:00<00:00, 136726.87it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136723.42it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1956524.31it/s]
Sample 347 completed
Generating sample 348/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13803/17071 [00:00<00:00, 138026.84it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138210.06it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1902863.92it/s]
Sample 348 completed
Generating sample 349/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13667/17071 [00:00<00:00, 136661.66it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136565.66it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1927140.11it/s]
Sample 349 completed
Generating sample 350/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13606/17071 [00:00<00:00, 136044.56it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136001.72it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2049841.50it/s]
Sample 350 completed
Generating sample 351/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13751/17071 [00:00<00:00, 137504.89it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137295.21it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1907426.17it/s]
Sample 351 completed
Generating sample 352/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13856/17071 [00:00<00:00, 138543.29it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138916.36it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1899582.51it/s]
Sample 352 completed
Generating sample 353/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  70%|██████▉   | 11938/17071 [00:00<00:00, 119370.44it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 123813.48it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2009231.22it/s]
Sample 353 completed
Generating sample 354/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13606/17071 [00:00<00:00, 136052.34it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 132455.05it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2043056.66it/s]
Sample 354 completed
Generating sample 355/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13675/17071 [00:00<00:00, 136745.57it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136783.76it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1986432.61it/s]
Sample 355 completed
Generating sample 356/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13747/17071 [00:00<00:00, 137457.35it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137385.31it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1952789.06it/s]
Sample 356 completed
Generating sample 357/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13681/17071 [00:00<00:00, 136800.35it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136505.25it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1943987.93it/s]
Sample 357 completed
Generating sample 358/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13744/17071 [00:00<00:00, 137432.27it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137134.55it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1900237.89it/s]
Sample 358 completed
Generating sample 359/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13861/17071 [00:00<00:00, 138604.51it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138305.36it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1949970.41it/s]
Sample 359 completed
Generating sample 360/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13828/17071 [00:00<00:00, 138270.90it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138801.10it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1967167.53it/s]
Sample 360 completed
Generating sample 361/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13491/17071 [00:00<00:00, 134904.66it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135333.63it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1886271.07it/s]
Sample 361 completed
Generating sample 362/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13825/17071 [00:00<00:00, 138244.53it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138724.46it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1887265.44it/s]
Sample 362 completed
Generating sample 363/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  28%|██▊       | 4720/17071 [00:00<00:01, 9912.25it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 30113.55it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1919545.42it/s]
Sample 363 completed
Generating sample 364/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13778/17071 [00:00<00:00, 137772.58it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137638.05it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1949651.83it/s]
Sample 364 completed
Generating sample 365/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  69%|██████▉   | 11860/17071 [00:00<00:00, 118592.48it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 119063.28it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1966411.17it/s]
Sample 365 completed
Generating sample 366/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  82%|████████▏ | 13946/17071 [00:00<00:00, 139449.16it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 139654.97it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2106592.24it/s]
Sample 366 completed
Generating sample 367/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13826/17071 [00:00<00:00, 138250.90it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137910.04it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2180695.73it/s]
Sample 367 completed
Generating sample 368/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13784/17071 [00:00<00:00, 137831.59it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137635.67it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1906715.05it/s]
Sample 368 completed
Generating sample 369/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13810/17071 [00:00<00:00, 138087.62it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137819.79it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1925844.26it/s]
Sample 369 completed
Generating sample 370/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13801/17071 [00:00<00:00, 138005.85it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137839.42it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1907832.76it/s]
Sample 370 completed
Generating sample 371/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13610/17071 [00:00<00:00, 136095.59it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136508.38it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1922638.05it/s]
Sample 371 completed
Generating sample 372/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13815/17071 [00:00<00:00, 138141.90it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137938.47it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2031233.01it/s]
Sample 372 completed
Generating sample 373/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13867/17071 [00:00<00:00, 138664.51it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138530.94it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2097766.42it/s]
Sample 373 completed
Generating sample 374/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▊  | 13416/17071 [00:00<00:00, 134149.89it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134052.07it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1992735.06it/s]
Sample 374 completed
Generating sample 375/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13759/17071 [00:00<00:00, 137578.32it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137482.91it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2023655.07it/s]
Sample 375 completed
Generating sample 376/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13774/17071 [00:00<00:00, 137726.34it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137676.16it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1923981.29it/s]
Sample 376 completed
Generating sample 377/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  69%|██████▉   | 11825/17071 [00:00<00:00, 118243.35it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 123305.16it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1947901.51it/s]
Sample 377 completed
Generating sample 378/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13777/17071 [00:00<00:00, 137758.96it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137612.65it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1879586.38it/s]
Sample 378 completed
Generating sample 379/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13585/17071 [00:00<00:00, 135847.21it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 29524.13it/s] 

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1857208.61it/s]
Sample 379 completed
Generating sample 380/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13588/17071 [00:00<00:00, 135870.09it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136356.56it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1907273.74it/s]
Sample 380 completed
Generating sample 381/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13486/17071 [00:00<00:00, 134856.59it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134667.00it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1918465.34it/s]
Sample 381 completed
Generating sample 382/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13465/17071 [00:00<00:00, 134642.10it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134490.70it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1903977.12it/s]
Sample 382 completed
Generating sample 383/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13665/17071 [00:00<00:00, 136640.68it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136503.43it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1939511.98it/s]
Sample 383 completed
Generating sample 384/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13748/17071 [00:00<00:00, 137477.51it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137805.73it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1906511.97it/s]
Sample 384 completed
Generating sample 385/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13488/17071 [00:00<00:00, 134871.13it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134838.95it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2039042.11it/s]
Sample 385 completed
Generating sample 386/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13453/17071 [00:00<00:00, 134521.47it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134301.50it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1987149.30it/s]
Sample 386 completed
Generating sample 387/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13702/17071 [00:00<00:00, 137007.39it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136768.87it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1962207.83it/s]
Sample 387 completed
Generating sample 388/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13667/17071 [00:00<00:00, 136661.33it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136281.55it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1921296.69it/s]
Sample 388 completed
Generating sample 389/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13770/17071 [00:00<00:00, 137688.64it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137388.74it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1825903.09it/s]
Sample 389 completed
Generating sample 390/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13502/17071 [00:00<00:00, 135017.23it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134712.10it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1959093.89it/s]
Sample 390 completed
Generating sample 391/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13611/17071 [00:00<00:00, 136102.34it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136457.64it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2033136.37it/s]
Sample 391 completed
Generating sample 392/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13365/17071 [00:00<00:00, 133646.62it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134078.43it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1958986.69it/s]
Sample 392 completed
Generating sample 393/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13784/17071 [00:00<00:00, 137837.83it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137625.08it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2214896.64it/s]
Sample 393 completed
Generating sample 394/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13695/17071 [00:00<00:00, 136943.27it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136843.10it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2061586.58it/s]
Sample 394 completed
Generating sample 395/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13633/17071 [00:00<00:00, 136322.98it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136337.86it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2002768.13it/s]
Sample 395 completed
Generating sample 396/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  70%|██████▉   | 11882/17071 [00:00<00:00, 118810.48it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 30333.22it/s] 

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1927399.49it/s]
Sample 396 completed
Generating sample 397/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13523/17071 [00:00<00:00, 135222.39it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 131574.67it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1927088.24it/s]
Sample 397 completed
Generating sample 398/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13395/17071 [00:00<00:00, 133937.04it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134463.92it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1908646.47it/s]
Sample 398 completed
Generating sample 399/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13495/17071 [00:00<00:00, 134938.23it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134841.99it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1973456.91it/s]
Sample 399 completed
Generating sample 400/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13731/17071 [00:00<00:00, 137306.20it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137130.61it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1920626.71it/s]
Sample 400 completed
Generating sample 401/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13696/17071 [00:00<00:00, 136948.70it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136634.72it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1927088.24it/s]
Sample 401 completed
Generating sample 402/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13588/17071 [00:00<00:00, 135874.95it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135942.33it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1829542.20it/s]
Sample 402 completed
Generating sample 403/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13676/17071 [00:00<00:00, 136752.31it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136686.36it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2063904.17it/s]
Sample 403 completed
Generating sample 404/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13491/17071 [00:00<00:00, 134896.62it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134893.56it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2025257.78it/s]
Sample 404 completed
Generating sample 405/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13740/17071 [00:00<00:00, 137389.65it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137084.92it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2013298.94it/s]
Sample 405 completed
Generating sample 406/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13695/17071 [00:00<00:00, 136939.68it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136721.60it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1934011.23it/s]
Sample 406 completed
Generating sample 407/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13722/17071 [00:00<00:00, 137213.92it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137068.65it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1913952.51it/s]
Sample 407 completed
Generating sample 408/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  67%|██████▋   | 11384/17071 [00:00<00:00, 113830.61it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 118277.54it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1855668.36it/s]
Sample 408 completed
Generating sample 409/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13748/17071 [00:00<00:00, 137470.95it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137183.42it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1945995.64it/s]
Sample 409 completed
Generating sample 410/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13609/17071 [00:00<00:00, 136086.24it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 132318.22it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1982253.08it/s]
Sample 410 completed
Generating sample 411/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13783/17071 [00:00<00:00, 137822.57it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138036.07it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1976071.19it/s]
Sample 411 completed
Generating sample 412/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13752/17071 [00:00<00:00, 137514.23it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137928.64it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1942353.13it/s]
Sample 412 completed
Generating sample 413/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13608/17071 [00:00<00:00, 136068.78it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135884.54it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2111437.69it/s]
Sample 413 completed
Generating sample 414/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  25%|██▌       | 4348/17071 [00:00<00:01, 9236.48it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 30084.35it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1683817.31it/s]
Sample 414 completed
Generating sample 415/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13837/17071 [00:00<00:00, 138366.50it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138314.72it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2018349.92it/s]
Sample 415 completed
Generating sample 416/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13788/17071 [00:00<00:00, 137871.91it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137715.35it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1877319.44it/s]
Sample 416 completed
Generating sample 417/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13699/17071 [00:00<00:00, 136977.72it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136860.37it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2022454.70it/s]
Sample 417 completed
Generating sample 418/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13466/17071 [00:00<00:00, 134650.18it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134667.76it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1980498.54it/s]
Sample 418 completed
Generating sample 419/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████▏ | 13892/17071 [00:00<00:00, 138911.19it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138597.44it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2080878.94it/s]
Sample 419 completed
Generating sample 420/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13726/17071 [00:00<00:00, 137251.30it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137117.21it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1872116.39it/s]
Sample 420 completed
Generating sample 421/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13697/17071 [00:00<00:00, 136960.66it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137281.26it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1866942.10it/s]
Sample 421 completed
Generating sample 422/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13743/17071 [00:00<00:00, 137423.91it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137180.53it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1981978.73it/s]
Sample 422 completed
Generating sample 423/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  70%|███████   | 12003/17071 [00:00<00:00, 120025.82it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 124723.84it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2071187.84it/s]
Sample 423 completed
Generating sample 424/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13830/17071 [00:00<00:00, 138294.20it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138213.52it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2033656.09it/s]
Sample 424 completed
Generating sample 425/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13542/17071 [00:00<00:00, 135411.41it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 131610.95it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1939249.33it/s]
Sample 425 completed
Generating sample 426/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13684/17071 [00:00<00:00, 136833.93it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136636.02it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1971500.73it/s]
Sample 426 completed
Generating sample 427/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13687/17071 [00:00<00:00, 136863.60it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136653.23it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1911397.85it/s]
Sample 427 completed
Generating sample 428/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13670/17071 [00:00<00:00, 136696.22it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136544.04it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1931298.58it/s]
Sample 428 completed
Generating sample 429/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████▏ | 13876/17071 [00:00<00:00, 138754.84it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138801.37it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2085728.21it/s]
Sample 429 completed
Generating sample 430/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13707/17071 [00:00<00:00, 137064.58it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137199.19it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1988915.66it/s]
Sample 430 completed
Generating sample 431/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  30%|██▉       | 5040/17071 [00:00<00:01, 10499.02it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 29968.12it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1913236.52it/s]
Sample 431 completed
Generating sample 432/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13618/17071 [00:00<00:00, 136168.12it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136062.97it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1879685.07it/s]
Sample 432 completed
Generating sample 433/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13721/17071 [00:00<00:00, 137207.19it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137023.27it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1857497.69it/s]
Sample 433 completed
Generating sample 434/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13525/17071 [00:00<00:00, 135238.20it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135146.90it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1998966.01it/s]
Sample 434 completed
Generating sample 435/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13713/17071 [00:00<00:00, 137116.40it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136893.07it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1844529.95it/s]
Sample 435 completed
Generating sample 436/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13545/17071 [00:00<00:00, 135446.58it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135187.22it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1910836.74it/s]
Sample 436 completed
Generating sample 437/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13686/17071 [00:00<00:00, 136848.71it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136609.43it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1893904.77it/s]
Sample 437 completed
Generating sample 438/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13487/17071 [00:00<00:00, 134865.95it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134709.57it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1942880.19it/s]
Sample 438 completed
Generating sample 439/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13672/17071 [00:00<00:00, 136711.98it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136856.96it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1940615.88it/s]
Sample 439 completed
Generating sample 440/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13725/17071 [00:00<00:00, 137236.72it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137118.79it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1985936.75it/s]
Sample 440 completed
Generating sample 441/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  70%|██████▉   | 11905/17071 [00:00<00:00, 119043.30it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 123138.06it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1959576.44it/s]
Sample 441 completed
Generating sample 442/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13306/17071 [00:00<00:00, 133052.20it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 129171.57it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1923877.89it/s]
Sample 442 completed
Generating sample 443/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13636/17071 [00:00<00:00, 136350.70it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136319.69it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1907324.55it/s]
Sample 443 completed
Generating sample 444/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13816/17071 [00:00<00:00, 138148.60it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138054.70it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1919442.50it/s]
Sample 444 completed
Generating sample 445/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▊  | 13431/17071 [00:00<00:00, 134307.25it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134286.89it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1901752.02it/s]
Sample 445 completed
Generating sample 446/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13607/17071 [00:00<00:00, 136062.02it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135850.77it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1941299.88it/s]
Sample 446 completed
Generating sample 447/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13628/17071 [00:00<00:00, 136276.88it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 34261.41it/s] 

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1943196.56it/s]
Sample 447 completed
Generating sample 448/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13647/17071 [00:00<00:00, 136242.43it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136438.14it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1919596.88it/s]
Sample 448 completed
Generating sample 449/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  76%|███████▌  | 12913/17071 [00:00<00:00, 129121.50it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 129285.39it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1994066.99it/s]
Sample 449 completed
Generating sample 450/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13783/17071 [00:00<00:00, 137818.96it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137722.76it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1939039.26it/s]
Sample 450 completed
Generating sample 451/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13851/17071 [00:00<00:00, 138502.21it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138280.26it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1903167.39it/s]
Sample 451 completed
Generating sample 452/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13642/17071 [00:00<00:00, 136408.42it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136928.68it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1863201.32it/s]
Sample 452 completed
Generating sample 453/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  70%|██████▉   | 11886/17071 [00:00<00:00, 118847.93it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 123366.77it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2102818.31it/s]
Sample 453 completed
Generating sample 454/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13587/17071 [00:00<00:00, 135860.41it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 132184.60it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1996290.84it/s]
Sample 454 completed
Generating sample 455/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13666/17071 [00:00<00:00, 136655.57it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136597.70it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1945149.78it/s]
Sample 455 completed
Generating sample 456/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13780/17071 [00:00<00:00, 137793.23it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137712.96it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1977107.93it/s]
Sample 456 completed
Generating sample 457/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13739/17071 [00:00<00:00, 137377.68it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137167.65it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1953801.50it/s]
Sample 457 completed
Generating sample 458/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13852/17071 [00:00<00:00, 138515.84it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138183.92it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1935946.02it/s]
Sample 458 completed
Generating sample 459/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13764/17071 [00:00<00:00, 137635.21it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138017.97it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1916821.86it/s]
Sample 459 completed
Generating sample 460/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13741/17071 [00:00<00:00, 137398.67it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137752.44it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1888609.51it/s]
Sample 460 completed
Generating sample 461/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13686/17071 [00:00<00:00, 136850.02it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137077.84it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1854755.04it/s]
Sample 461 completed
Generating sample 462/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13541/17071 [00:00<00:00, 135404.96it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135365.36it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1955348.83it/s]
Sample 462 completed
Generating sample 463/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13637/17071 [00:00<00:00, 136359.40it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136285.44it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2032328.45it/s]
Sample 463 completed
Generating sample 464/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13784/17071 [00:00<00:00, 137833.89it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 30785.92it/s] 

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1973293.75it/s]
Sample 464 completed
Generating sample 465/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13858/17071 [00:00<00:00, 138575.51it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138221.00it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1944832.78it/s]
Sample 465 completed
Generating sample 466/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13810/17071 [00:00<00:00, 138089.27it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137925.19it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1949651.83it/s]
Sample 466 completed
Generating sample 467/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  77%|███████▋  | 13227/17071 [00:00<00:00, 132261.30it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 132541.85it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1853602.66it/s]
Sample 467 completed
Generating sample 468/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13803/17071 [00:00<00:00, 138023.55it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137701.31it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1979950.88it/s]
Sample 468 completed
Generating sample 469/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13644/17071 [00:00<00:00, 136433.62it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136181.50it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1927399.49it/s]
Sample 469 completed
Generating sample 470/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13771/17071 [00:00<00:00, 137702.91it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137392.43it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1872312.21it/s]
Sample 470 completed
Generating sample 471/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13813/17071 [00:00<00:00, 138122.23it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137744.76it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1884632.65it/s]
Sample 471 completed
Generating sample 472/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13802/17071 [00:00<00:00, 138015.20it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137995.10it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1892953.43it/s]
Sample 472 completed
Generating sample 473/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13691/17071 [00:00<00:00, 136900.34it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136698.63it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2005853.98it/s]
Sample 473 completed
Generating sample 474/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13469/17071 [00:00<00:00, 134679.53it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134676.88it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1962422.95it/s]
Sample 474 completed
Generating sample 475/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13762/17071 [00:00<00:00, 137606.35it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137300.74it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1908900.89it/s]
Sample 475 completed
Generating sample 476/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13842/17071 [00:00<00:00, 138407.92it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138151.92it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2011376.02it/s]
Sample 476 completed
Generating sample 477/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13297/17071 [00:00<00:00, 132959.35it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 132926.94it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1870062.78it/s]
Sample 477 completed
Generating sample 478/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13556/17071 [00:00<00:00, 135554.31it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135449.86it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1963176.23it/s]
Sample 478 completed
Generating sample 479/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13794/17071 [00:00<00:00, 137932.57it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137923.86it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1915078.73it/s]
Sample 479 completed
Generating sample 480/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13777/17071 [00:00<00:00, 137760.28it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137632.49it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1897769.98it/s]
Sample 480 completed
Generating sample 481/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13692/17071 [00:00<00:00, 136670.86it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137188.15it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1892203.05it/s]
Sample 481 completed
Generating sample 482/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  31%|███▏      | 5373/17071 [00:00<00:00, 15644.27it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 39682.74it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1873291.92it/s]
Sample 482 completed
Generating sample 483/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13665/17071 [00:00<00:00, 136645.24it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136778.01it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2001033.02it/s]
Sample 483 completed
Generating sample 484/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████▏ | 13891/17071 [00:00<00:00, 138907.15it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138734.94it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2123712.40it/s]
Sample 484 completed
Generating sample 485/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13615/17071 [00:00<00:00, 136142.66it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136003.79it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1778022.44it/s]
Sample 485 completed
Generating sample 486/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13783/17071 [00:00<00:00, 137827.50it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137677.22it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2000753.45it/s]
Sample 486 completed
Generating sample 487/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13585/17071 [00:00<00:00, 135843.33it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135774.52it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1953268.50it/s]
Sample 487 completed
Generating sample 488/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13692/17071 [00:00<00:00, 136913.28it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136896.48it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1983571.03it/s]
Sample 488 completed
Generating sample 489/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13725/17071 [00:00<00:00, 137240.97it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137161.87it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1960059.23it/s]
Sample 489 completed
Generating sample 490/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13743/17071 [00:00<00:00, 137424.89it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137270.21it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1892503.13it/s]
Sample 490 completed
Generating sample 491/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13720/17071 [00:00<00:00, 137188.68it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137462.06it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1999412.57it/s]
Sample 491 completed
Generating sample 492/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13637/17071 [00:00<00:00, 136364.93it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136437.88it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2023883.87it/s]
Sample 492 completed
Generating sample 493/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13400/17071 [00:00<00:00, 133988.63it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133914.68it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2082149.69it/s]
Sample 493 completed
Generating sample 494/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13711/17071 [00:00<00:00, 137098.69it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137099.10it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1994566.93it/s]
Sample 494 completed
Generating sample 495/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13557/17071 [00:00<00:00, 135567.22it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135568.60it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1910938.74it/s]
Sample 495 completed
Generating sample 496/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13739/17071 [00:00<00:00, 137386.86it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137286.00it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1965601.44it/s]
Sample 496 completed
Generating sample 497/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13729/17071 [00:00<00:00, 137283.91it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137213.39it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1928489.65it/s]
Sample 497 completed
Generating sample 498/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13843/17071 [00:00<00:00, 138424.52it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 40046.27it/s] 

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1902509.99it/s]
Sample 498 completed
Generating sample 499/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13766/17071 [00:00<00:00, 137653.24it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137800.16it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2084149.72it/s]
Sample 499 completed
Generating sample 500/500 (prompt_gen: 4, temp: 1.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13330/17071 [00:00<00:00, 133297.27it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133072.45it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2039739.16it/s]
Sample 500 completed
Completed temperature 1.0
Running with temperature: 1.5
Generating sample 1/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13465/17071 [00:00<00:00, 134641.78it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134594.60it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1907375.36it/s]
Sample 1 completed
Generating sample 2/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▊  | 13419/17071 [00:00<00:00, 134186.61it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133993.37it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1906968.96it/s]
Sample 2 completed
Generating sample 3/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13387/17071 [00:00<00:00, 133858.32it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133619.79it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1909868.33it/s]
Sample 3 completed
Generating sample 4/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▊  | 13437/17071 [00:00<00:00, 134366.92it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134347.11it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2026289.44it/s]
Sample 4 completed
Generating sample 5/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13587/17071 [00:00<00:00, 135864.95it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135650.79it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1946154.32it/s]
Sample 5 completed
Generating sample 6/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13479/17071 [00:00<00:00, 134786.91it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134571.84it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1930621.61it/s]
Sample 6 completed
Generating sample 7/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13334/17071 [00:00<00:00, 133328.37it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133113.52it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1866309.49it/s]
Sample 7 completed
Generating sample 8/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13525/17071 [00:00<00:00, 135237.55it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134989.44it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1930361.36it/s]
Sample 8 completed
Generating sample 9/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13579/17071 [00:00<00:00, 135785.92it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135591.96it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1982088.46it/s]
Sample 9 completed
Generating sample 10/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13610/17071 [00:00<00:00, 136093.32it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135847.68it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1894205.39it/s]
Sample 10 completed
Generating sample 11/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13576/17071 [00:00<00:00, 135752.69it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136269.88it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1902560.55it/s]
Sample 11 completed
Generating sample 12/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13525/17071 [00:00<00:00, 135240.78it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135590.94it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1875696.53it/s]
Sample 12 completed
Generating sample 13/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13516/17071 [00:00<00:00, 135150.46it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135127.01it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1966411.17it/s]
Sample 13 completed
Generating sample 14/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▊  | 13433/17071 [00:00<00:00, 134320.20it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134353.16it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2005179.89it/s]
Sample 14 completed
Generating sample 15/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13270/17071 [00:00<00:00, 132693.80it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 39729.14it/s] 

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1950235.97it/s]
Sample 15 completed
Generating sample 16/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13782/17071 [00:00<00:00, 137810.60it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137662.92it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2003160.35it/s]
Sample 16 completed
Generating sample 17/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13821/17071 [00:00<00:00, 138111.35it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138599.59it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2021084.58it/s]
Sample 17 completed
Generating sample 18/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13847/17071 [00:00<00:00, 138462.21it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138423.55it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2105477.21it/s]
Sample 18 completed
Generating sample 19/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13664/17071 [00:00<00:00, 136631.01it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136510.20it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1916308.84it/s]
Sample 19 completed
Generating sample 20/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13777/17071 [00:00<00:00, 137765.53it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137546.03it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1864414.22it/s]
Sample 20 completed
Generating sample 21/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13773/17071 [00:00<00:00, 137721.27it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137488.98it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1923722.83it/s]
Sample 21 completed
Generating sample 22/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13713/17071 [00:00<00:00, 137126.21it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137661.60it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1866893.43it/s]
Sample 22 completed
Generating sample 23/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13497/17071 [00:00<00:00, 134958.55it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135082.14it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1996958.96it/s]
Sample 23 completed
Generating sample 24/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13664/17071 [00:00<00:00, 136637.20it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136495.62it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1973728.91it/s]
Sample 24 completed
Generating sample 25/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13603/17071 [00:00<00:00, 136020.08it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136026.27it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1948643.69it/s]
Sample 25 completed
Generating sample 26/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13850/17071 [00:00<00:00, 138491.22it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138386.63it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1952203.39it/s]
Sample 26 completed
Generating sample 27/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13728/17071 [00:00<00:00, 137274.57it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137265.21it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1961240.37it/s]
Sample 27 completed
Generating sample 28/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13832/17071 [00:00<00:00, 138309.25it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138178.85it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1912316.75it/s]
Sample 28 completed
Generating sample 29/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13619/17071 [00:00<00:00, 136184.29it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136140.59it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1971989.41it/s]
Sample 29 completed
Generating sample 30/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▊  | 13409/17071 [00:00<00:00, 134081.82it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134108.31it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1899683.31it/s]
Sample 30 completed
Generating sample 31/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13658/17071 [00:00<00:00, 136571.01it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137248.37it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1929945.11it/s]
Sample 31 completed
Generating sample 32/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13765/17071 [00:00<00:00, 137647.51it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138056.03it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1861796.34it/s]
Sample 32 completed
Generating sample 33/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  27%|██▋       | 4679/17071 [00:00<00:00, 13946.63it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 39746.05it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1953854.82it/s]
Sample 33 completed
Generating sample 34/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13731/17071 [00:00<00:00, 137297.69it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137239.42it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2055313.71it/s]
Sample 34 completed
Generating sample 35/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13663/17071 [00:00<00:00, 136621.01it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136536.23it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1966033.21it/s]
Sample 35 completed
Generating sample 36/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13485/17071 [00:00<00:00, 134838.23it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135807.74it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2015168.83it/s]
Sample 36 completed
Generating sample 37/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13694/17071 [00:00<00:00, 136929.36it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136661.06it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2040087.86it/s]
Sample 37 completed
Generating sample 38/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13569/17071 [00:00<00:00, 135679.78it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135397.35it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1933175.75it/s]
Sample 38 completed
Generating sample 39/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13769/17071 [00:00<00:00, 137678.64it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137382.14it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1923722.83it/s]
Sample 39 completed
Generating sample 40/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13801/17071 [00:00<00:00, 138000.92it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137718.53it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1903167.39it/s]
Sample 40 completed
Generating sample 41/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13727/17071 [00:00<00:00, 137259.33it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137608.42it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1916462.72it/s]
Sample 41 completed
Generating sample 42/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13760/17071 [00:00<00:00, 137596.52it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137023.01it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1992014.34it/s]
Sample 42 completed
Generating sample 43/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13729/17071 [00:00<00:00, 137284.89it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137134.81it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2044106.53it/s]
Sample 43 completed
Generating sample 44/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13822/17071 [00:00<00:00, 138214.86it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138110.08it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2039797.26it/s]
Sample 44 completed
Generating sample 45/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13836/17071 [00:00<00:00, 138351.23it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138045.11it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2021027.54it/s]
Sample 45 completed
Generating sample 46/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  82%|████████▏ | 13960/17071 [00:00<00:00, 139592.81it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 139455.32it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2214691.11it/s]
Sample 46 completed
Generating sample 47/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13677/17071 [00:00<00:00, 136764.91it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136594.31it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1871822.74it/s]
Sample 47 completed
Generating sample 48/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13614/17071 [00:00<00:00, 136133.31it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135854.38it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1930205.25it/s]
Sample 48 completed
Generating sample 49/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  62%|██████▏   | 10546/17071 [00:00<00:00, 27094.54it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 39080.85it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1908239.53it/s]
Sample 49 completed
Generating sample 50/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  77%|███████▋  | 13073/17071 [00:00<00:00, 130726.07it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 130540.78it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1910632.78it/s]
Sample 50 completed
Generating sample 51/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13297/17071 [00:00<00:00, 132961.57it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133013.86it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1997126.06it/s]
Sample 51 completed
Generating sample 52/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13581/17071 [00:00<00:00, 135806.24it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135636.40it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1934272.46it/s]
Sample 52 completed
Generating sample 53/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  76%|███████▌  | 12916/17071 [00:00<00:00, 129156.43it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 129563.32it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1877664.06it/s]
Sample 53 completed
Generating sample 54/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13465/17071 [00:00<00:00, 134641.78it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134634.08it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1929685.04it/s]
Sample 54 completed
Generating sample 55/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13476/17071 [00:00<00:00, 134735.71it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134439.94it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1971663.60it/s]
Sample 55 completed
Generating sample 56/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13710/17071 [00:00<00:00, 137088.04it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137073.64it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1893253.75it/s]
Sample 56 completed
Generating sample 57/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13653/17071 [00:00<00:00, 136520.69it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136491.20it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1915488.59it/s]
Sample 57 completed
Generating sample 58/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13656/17071 [00:00<00:00, 136551.34it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136298.93it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1916873.17it/s]
Sample 58 completed
Generating sample 59/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13666/17071 [00:00<00:00, 136455.17it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136768.34it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1901449.00it/s]
Sample 59 completed
Generating sample 60/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13479/17071 [00:00<00:00, 134779.20it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134983.33it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1894506.10it/s]
Sample 60 completed
Generating sample 61/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▊  | 13419/17071 [00:00<00:00, 134183.41it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134603.46it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1944040.72it/s]
Sample 61 completed
Generating sample 62/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13528/17071 [00:00<00:00, 135276.58it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135589.91it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2036142.86it/s]
Sample 62 completed
Generating sample 63/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13514/17071 [00:00<00:00, 135135.62it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134734.66it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2052838.77it/s]
Sample 63 completed
Generating sample 64/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13645/17071 [00:00<00:00, 136441.02it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136478.45it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1943724.07it/s]
Sample 64 completed
Generating sample 65/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13768/17071 [00:00<00:00, 137668.97it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137592.03it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1982966.75it/s]
Sample 65 completed
Generating sample 66/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  68%|██████▊   | 11621/17071 [00:00<00:00, 29243.64it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 39017.28it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1857160.44it/s]
Sample 66 completed
Generating sample 67/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13612/17071 [00:00<00:00, 136116.88it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135844.33it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1860103.49it/s]
Sample 67 completed
Generating sample 68/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▊  | 13427/17071 [00:00<00:00, 134267.25it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134581.70it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1668553.40it/s]
Sample 68 completed
Generating sample 69/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13694/17071 [00:00<00:00, 136927.73it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136823.23it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2022397.57it/s]
Sample 69 completed
Generating sample 70/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13789/17071 [00:00<00:00, 137878.95it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137614.24it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1905953.72it/s]
Sample 70 completed
Generating sample 71/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13829/17071 [00:00<00:00, 138276.94it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137892.25it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1994344.70it/s]
Sample 71 completed
Generating sample 72/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  70%|██████▉   | 11935/17071 [00:00<00:00, 119346.41it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 124237.34it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1951033.10it/s]
Sample 72 completed
Generating sample 73/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13359/17071 [00:00<00:00, 133582.17it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 129771.37it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2037533.47it/s]
Sample 73 completed
Generating sample 74/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13768/17071 [00:00<00:00, 137672.25it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137410.62it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2001648.36it/s]
Sample 74 completed
Generating sample 75/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13672/17071 [00:00<00:00, 136714.92it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136629.76it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1924808.83it/s]
Sample 75 completed
Generating sample 76/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13773/17071 [00:00<00:00, 137723.56it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137636.19it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1911193.77it/s]
Sample 76 completed
Generating sample 77/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13830/17071 [00:00<00:00, 138296.18it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137991.64it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1934115.71it/s]
Sample 77 completed
Generating sample 78/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13828/17071 [00:00<00:00, 138276.84it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137963.19it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1964846.29it/s]
Sample 78 completed
Generating sample 79/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13775/17071 [00:00<00:00, 137744.55it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138065.88it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1990131.85it/s]
Sample 79 completed
Generating sample 80/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13807/17071 [00:00<00:00, 138057.95it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138370.58it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1929893.09it/s]
Sample 80 completed
Generating sample 81/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13372/17071 [00:00<00:00, 133709.61it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134144.49it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1909970.22it/s]
Sample 81 completed
Generating sample 82/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13778/17071 [00:00<00:00, 137772.58it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137499.55it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1990961.92it/s]
Sample 82 completed
Generating sample 83/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  74%|███████▍  | 12625/17071 [00:00<00:00, 23487.13it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 29927.96it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1894556.23it/s]
Sample 83 completed
Generating sample 84/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  68%|██████▊   | 11661/17071 [00:00<00:00, 116598.44it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 121322.20it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1899481.72it/s]
Sample 84 completed
Generating sample 85/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13267/17071 [00:00<00:00, 132661.90it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 128996.57it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1920420.65it/s]
Sample 85 completed
Generating sample 86/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13370/17071 [00:00<00:00, 133690.57it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133591.86it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1967221.57it/s]
Sample 86 completed
Generating sample 87/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13562/17071 [00:00<00:00, 135608.81it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135456.52it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1969656.79it/s]
Sample 87 completed
Generating sample 88/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13566/17071 [00:00<00:00, 135653.98it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135319.82it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1972261.01it/s]
Sample 88 completed
Generating sample 89/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13526/17071 [00:00<00:00, 135257.55it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135170.37it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1967654.06it/s]
Sample 89 completed
Generating sample 90/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13578/17071 [00:00<00:00, 135769.12it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136093.75it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1967708.13it/s]
Sample 90 completed
Generating sample 91/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13280/17071 [00:00<00:00, 132790.63it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 132777.81it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1971012.29it/s]
Sample 91 completed
Generating sample 92/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13398/17071 [00:00<00:00, 133970.55it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134009.67it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1960381.22it/s]
Sample 92 completed
Generating sample 93/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▊  | 13432/17071 [00:00<00:00, 134308.60it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134336.52it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1959951.92it/s]
Sample 93 completed
Generating sample 94/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13564/17071 [00:00<00:00, 135635.28it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135550.64it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1984505.64it/s]
Sample 94 completed
Generating sample 95/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▊  | 13426/17071 [00:00<00:00, 134251.49it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134091.73it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1994678.06it/s]
Sample 95 completed
Generating sample 96/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  68%|██████▊   | 11610/17071 [00:00<00:00, 116088.21it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 120862.03it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1988915.66it/s]
Sample 96 completed
Generating sample 97/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13528/17071 [00:00<00:00, 135270.13it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135197.94it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1954388.13it/s]
Sample 97 completed
Generating sample 98/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13335/17071 [00:00<00:00, 133346.63it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 129603.42it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1947159.89it/s]
Sample 98 completed
Generating sample 99/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13349/17071 [00:00<00:00, 133484.40it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133897.15it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1909308.11it/s]
Sample 99 completed
Generating sample 100/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13312/17071 [00:00<00:00, 24232.18it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 29607.45it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1838326.11it/s]
Sample 100 completed
Generating sample 101/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13750/17071 [00:00<00:00, 137489.64it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137306.01it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1988805.17it/s]
Sample 101 completed
Generating sample 102/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13701/17071 [00:00<00:00, 137002.29it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136861.93it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1935265.79it/s]
Sample 102 completed
Generating sample 103/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13615/17071 [00:00<00:00, 136142.34it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136302.56it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1941563.09it/s]
Sample 103 completed
Generating sample 104/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13395/17071 [00:00<00:00, 133945.66it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133844.33it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1893103.58it/s]
Sample 104 completed
Generating sample 105/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13771/17071 [00:00<00:00, 137706.19it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137457.05it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2054782.86it/s]
Sample 105 completed
Generating sample 106/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13762/17071 [00:00<00:00, 137610.94it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137352.63it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1961992.75it/s]
Sample 106 completed
Generating sample 107/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  70%|██████▉   | 11870/17071 [00:00<00:00, 118690.21it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 123210.95it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1950820.47it/s]
Sample 107 completed
Generating sample 108/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13575/17071 [00:00<00:00, 135738.80it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135997.33it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1883096.12it/s]
Sample 108 completed
Generating sample 109/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13545/17071 [00:00<00:00, 135441.73it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 131783.66it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1993456.31it/s]
Sample 109 completed
Generating sample 110/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13562/17071 [00:00<00:00, 135606.55it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135449.86it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1906562.74it/s]
Sample 110 completed
Generating sample 111/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13523/17071 [00:00<00:00, 135224.33it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135250.04it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1964415.03it/s]
Sample 111 completed
Generating sample 112/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13729/17071 [00:00<00:00, 137282.28it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137116.69it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1981156.13it/s]
Sample 112 completed
Generating sample 113/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13697/17071 [00:00<00:00, 136959.03it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136797.35it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1973239.36it/s]
Sample 113 completed
Generating sample 114/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13655/17071 [00:00<00:00, 136546.55it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136236.17it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1947477.66it/s]
Sample 114 completed
Generating sample 115/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13522/17071 [00:00<00:00, 135214.97it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135192.07it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1922328.34it/s]
Sample 115 completed
Generating sample 116/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13503/17071 [00:00<00:00, 135021.12it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134696.90it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2065750.08it/s]
Sample 116 completed
Generating sample 117/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  60%|█████▉    | 10216/17071 [00:00<00:00, 20021.81it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 30425.51it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1930777.79it/s]
Sample 117 completed
Generating sample 118/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13733/17071 [00:00<00:00, 137325.55it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137113.54it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2017724.27it/s]
Sample 118 completed
Generating sample 119/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13683/17071 [00:00<00:00, 136823.61it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136790.29it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1943091.09it/s]
Sample 119 completed
Generating sample 120/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13829/17071 [00:00<00:00, 138283.21it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137897.29it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1916719.23it/s]
Sample 120 completed
Generating sample 121/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13685/17071 [00:00<00:00, 136838.71it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137312.06it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1952256.61it/s]
Sample 121 completed
Generating sample 122/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13659/17071 [00:00<00:00, 136586.55it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136437.10it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2016474.13it/s]
Sample 122 completed
Generating sample 123/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13338/17071 [00:00<00:00, 133369.32it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133237.87it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2003720.93it/s]
Sample 123 completed
Generating sample 124/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13376/17071 [00:00<00:00, 133749.92it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133773.82it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1986873.59it/s]
Sample 124 completed
Generating sample 125/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  70%|███████   | 11968/17071 [00:00<00:00, 119670.98it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 120222.38it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2060281.52it/s]
Sample 125 completed
Generating sample 126/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13681/17071 [00:00<00:00, 136800.02it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136386.42it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1876483.05it/s]
Sample 126 completed
Generating sample 127/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13779/17071 [00:00<00:00, 137780.61it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138098.90it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1901651.00it/s]
Sample 127 completed
Generating sample 128/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13700/17071 [00:00<00:00, 136990.01it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137416.16it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1954281.45it/s]
Sample 128 completed
Generating sample 129/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13292/17071 [00:00<00:00, 132915.06it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 132659.97it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1995011.52it/s]
Sample 129 completed
Generating sample 130/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13676/17071 [00:00<00:00, 136750.68it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136578.94it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1976016.66it/s]
Sample 130 completed
Generating sample 131/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13356/17071 [00:00<00:00, 133552.17it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133282.01it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1952522.80it/s]
Sample 131 completed
Generating sample 132/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13331/17071 [00:00<00:00, 133301.55it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133277.30it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1974545.35it/s]
Sample 132 completed
Generating sample 133/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13542/17071 [00:00<00:00, 135405.92it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135347.44it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1976289.36it/s]
Sample 133 completed
Generating sample 134/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  42%|████▏     | 7141/17071 [00:00<00:00, 14560.24it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 30180.14it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1933227.95it/s]
Sample 134 completed
Generating sample 135/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13622/17071 [00:00<00:00, 136214.93it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136115.22it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1925481.73it/s]
Sample 135 completed
Generating sample 136/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13312/17071 [00:00<00:00, 133110.29it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133875.87it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1948749.76it/s]
Sample 136 completed
Generating sample 137/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  67%|██████▋   | 11496/17071 [00:00<00:00, 114950.79it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 118274.02it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1902206.73it/s]
Sample 137 completed
Generating sample 138/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13635/17071 [00:00<00:00, 136338.10it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135658.24it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1950395.35it/s]
Sample 138 completed
Generating sample 139/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13479/17071 [00:00<00:00, 134776.31it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 130805.49it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1910581.80it/s]
Sample 139 completed
Generating sample 140/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13340/17071 [00:00<00:00, 133389.00it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133947.49it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1984835.72it/s]
Sample 140 completed
Generating sample 141/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▊  | 13407/17071 [00:00<00:00, 134060.22it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133993.37it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1977053.34it/s]
Sample 141 completed
Generating sample 142/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13489/17071 [00:00<00:00, 134883.05it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134853.17it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2032270.76it/s]
Sample 142 completed
Generating sample 143/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13753/17071 [00:00<00:00, 137526.52it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137161.08it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1998240.78it/s]
Sample 143 completed
Generating sample 144/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13379/17071 [00:00<00:00, 133782.47it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133459.14it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1957380.09it/s]
Sample 144 completed
Generating sample 145/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13368/17071 [00:00<00:00, 133670.57it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133768.82it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1930777.79it/s]
Sample 145 completed
Generating sample 146/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13461/17071 [00:00<00:00, 134599.86it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134422.52it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1895760.11it/s]
Sample 146 completed
Generating sample 147/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13658/17071 [00:00<00:00, 136329.85it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136957.75it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1979294.09it/s]
Sample 147 completed
Generating sample 148/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13587/17071 [00:00<00:00, 135858.14it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136473.77it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1979458.24it/s]
Sample 148 completed
Generating sample 149/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13677/17071 [00:00<00:00, 136761.98it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137053.70it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2010020.87it/s]
Sample 149 completed
Generating sample 150/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13610/17071 [00:00<00:00, 136091.69it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136333.71it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2062536.76it/s]
Sample 150 completed
Generating sample 151/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  74%|███████▍  | 12615/17071 [00:00<00:00, 24029.78it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 30613.33it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1967059.44it/s]
Sample 151 completed
Generating sample 152/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13342/17071 [00:00<00:00, 133417.26it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133339.60it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1945096.94it/s]
Sample 152 completed
Generating sample 153/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▊  | 13404/17071 [00:00<00:00, 134033.74it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133957.02it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1876876.55it/s]
Sample 153 completed
Generating sample 154/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13394/17071 [00:00<00:00, 133929.59it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134456.10it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1849723.93it/s]
Sample 154 completed
Generating sample 155/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  77%|███████▋  | 13221/17071 [00:00<00:00, 132200.67it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 132119.97it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1984340.65it/s]
Sample 155 completed
Generating sample 156/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13578/17071 [00:00<00:00, 135767.83it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135815.21it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1966411.17it/s]
Sample 156 completed
Generating sample 157/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13507/17071 [00:00<00:00, 135065.62it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135019.73it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2017326.33it/s]
Sample 157 completed
Generating sample 158/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13543/17071 [00:00<00:00, 135423.99it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135210.70it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1918773.81it/s]
Sample 158 completed
Generating sample 159/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13462/17071 [00:00<00:00, 134617.24it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135066.09it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1984890.74it/s]
Sample 159 completed
Generating sample 160/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13481/17071 [00:00<00:00, 134800.17it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134710.33it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1967654.06it/s]
Sample 160 completed
Generating sample 161/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13550/17071 [00:00<00:00, 135494.64it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135295.02it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1939459.44it/s]
Sample 161 completed
Generating sample 162/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  76%|███████▋  | 13047/17071 [00:00<00:00, 130460.17it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 130409.30it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1943407.53it/s]
Sample 162 completed
Generating sample 163/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13315/17071 [00:00<00:00, 133144.73it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 132996.32it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1933593.40it/s]
Sample 163 completed
Generating sample 164/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13348/17071 [00:00<00:00, 133473.13it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133299.63it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1914413.08it/s]
Sample 164 completed
Generating sample 165/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13350/17071 [00:00<00:00, 133495.03it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133310.55it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1898524.78it/s]
Sample 165 completed
Generating sample 166/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13594/17071 [00:00<00:00, 135933.32it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135589.65it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1931142.31it/s]
Sample 166 completed
Generating sample 167/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13606/17071 [00:00<00:00, 136056.89it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135853.86it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1939039.26it/s]
Sample 167 completed
Generating sample 168/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13276/17071 [00:00<00:00, 132752.85it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 39410.48it/s] 

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1894105.17it/s]
Sample 168 completed
Generating sample 169/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13545/17071 [00:00<00:00, 135446.90it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135573.22it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2014035.15it/s]
Sample 169 completed
Generating sample 170/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13485/17071 [00:00<00:00, 134838.88it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134837.68it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1954228.11it/s]
Sample 170 completed
Generating sample 171/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13264/17071 [00:00<00:00, 132636.65it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 132651.86it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1928281.90it/s]
Sample 171 completed
Generating sample 172/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▊  | 13406/17071 [00:00<00:00, 134052.14it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134090.48it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1863443.77it/s]
Sample 172 completed
Generating sample 173/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  77%|███████▋  | 13207/17071 [00:00<00:00, 132064.14it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 132338.28it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1995511.93it/s]
Sample 173 completed
Generating sample 174/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13597/17071 [00:00<00:00, 135966.56it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135960.40it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2012789.58it/s]
Sample 174 completed
Generating sample 175/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13605/17071 [00:00<00:00, 136042.99it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135878.10it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2007484.89it/s]
Sample 175 completed
Generating sample 176/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13501/17071 [00:00<00:00, 135001.76it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135086.22it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1908493.85it/s]
Sample 176 completed
Generating sample 177/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13393/17071 [00:00<00:00, 133924.38it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133930.46it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1963122.41it/s]
Sample 177 completed
Generating sample 178/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13447/17071 [00:00<00:00, 134461.79it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135186.96it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1926673.40it/s]
Sample 178 completed
Generating sample 179/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13516/17071 [00:00<00:00, 135148.53it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135698.87it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1863104.36it/s]
Sample 179 completed
Generating sample 180/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13592/17071 [00:00<00:00, 135912.03it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135969.44it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2046911.48it/s]
Sample 180 completed
Generating sample 181/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13506/17071 [00:00<00:00, 135055.30it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135130.32it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1998687.01it/s]
Sample 181 completed
Generating sample 182/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13354/17071 [00:00<00:00, 133532.17it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133674.67it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1954814.99it/s]
Sample 182 completed
Generating sample 183/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13654/17071 [00:00<00:00, 136534.27it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136488.86it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2027551.78it/s]
Sample 183 completed
Generating sample 184/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13634/17071 [00:00<00:00, 136329.08it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136258.21it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1955402.23it/s]
Sample 184 completed
Generating sample 185/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  66%|██████▌   | 11242/17071 [00:00<00:00, 27845.61it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 38214.21it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1844862.63it/s]
Sample 185 completed
Generating sample 186/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13784/17071 [00:00<00:00, 137836.19it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137805.47it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1930101.18it/s]
Sample 186 completed
Generating sample 187/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▊  | 13428/17071 [00:00<00:00, 134276.29it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133733.59it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2061883.42it/s]
Sample 187 completed
Generating sample 188/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13774/17071 [00:00<00:00, 137730.94it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137645.19it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1924550.14it/s]
Sample 188 completed
Generating sample 189/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13637/17071 [00:00<00:00, 136363.95it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136163.63it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1922070.32it/s]
Sample 189 completed
Generating sample 190/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13711/17071 [00:00<00:00, 137101.31it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137058.16it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1870795.69it/s]
Sample 190 completed
Generating sample 191/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13602/17071 [00:00<00:00, 136009.75it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136431.90it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1840074.11it/s]
Sample 191 completed
Generating sample 192/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13725/17071 [00:00<00:00, 137247.51it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137225.22it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2025601.55it/s]
Sample 192 completed
Generating sample 193/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13730/17071 [00:00<00:00, 137293.58it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137398.23it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1857594.07it/s]
Sample 193 completed
Generating sample 194/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13653/17071 [00:00<00:00, 136525.90it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136195.49it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1904736.87it/s]
Sample 194 completed
Generating sample 195/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13638/17071 [00:00<00:00, 136374.28it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136317.36it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2053486.39it/s]
Sample 195 completed
Generating sample 196/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13710/17071 [00:00<00:00, 137095.55it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137161.08it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1972424.00it/s]
Sample 196 completed
Generating sample 197/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13620/17071 [00:00<00:00, 136189.41it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136003.53it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1917283.80it/s]
Sample 197 completed
Generating sample 198/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13560/17071 [00:00<00:00, 135594.96it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135820.62it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2034696.32it/s]
Sample 198 completed
Generating sample 199/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13585/17071 [00:00<00:00, 135841.06it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136331.63it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1892403.10it/s]
Sample 199 completed
Generating sample 200/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13721/17071 [00:00<00:00, 137200.97it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137085.97it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1951937.29it/s]
Sample 200 completed
Generating sample 201/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13571/17071 [00:00<00:00, 135699.13it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135754.95it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1946683.44it/s]
Sample 201 completed
Generating sample 202/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  72%|███████▏  | 12270/17071 [00:00<00:00, 31170.61it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 39717.13it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1949704.92it/s]
Sample 202 completed
Generating sample 203/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13788/17071 [00:00<00:00, 137871.58it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137684.63it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1924705.35it/s]
Sample 203 completed
Generating sample 204/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13768/17071 [00:00<00:00, 137668.32it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138064.28it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1939459.44it/s]
Sample 204 completed
Generating sample 205/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13674/17071 [00:00<00:00, 136733.94it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136445.94it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1964415.03it/s]
Sample 205 completed
Generating sample 206/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13835/17071 [00:00<00:00, 138340.57it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137977.28it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1973184.99it/s]
Sample 206 completed
Generating sample 207/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13760/17071 [00:00<00:00, 137593.57it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137278.10it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1916565.31it/s]
Sample 207 completed
Generating sample 208/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13786/17071 [00:00<00:00, 137848.96it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137516.18it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1918619.57it/s]
Sample 208 completed
Generating sample 209/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13742/17071 [00:00<00:00, 137408.01it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137780.01it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1886072.32it/s]
Sample 209 completed
Generating sample 210/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13663/17071 [00:00<00:00, 136625.90it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136563.83it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2044106.53it/s]
Sample 210 completed
Generating sample 211/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13737/17071 [00:00<00:00, 137362.93it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137229.16it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1919442.50it/s]
Sample 211 completed
Generating sample 212/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13783/17071 [00:00<00:00, 137822.57it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137530.97it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1970144.56it/s]
Sample 212 completed
Generating sample 213/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13575/17071 [00:00<00:00, 135745.27it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135813.92it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1965601.44it/s]
Sample 213 completed
Generating sample 214/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13639/17071 [00:00<00:00, 136380.38it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136372.92it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1935893.68it/s]
Sample 214 completed
Generating sample 215/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13659/17071 [00:00<00:00, 136582.31it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136488.08it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1988584.22it/s]
Sample 215 completed
Generating sample 216/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13788/17071 [00:00<00:00, 137869.94it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137557.13it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1955562.45it/s]
Sample 216 completed
Generating sample 217/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13680/17071 [00:00<00:00, 136623.26it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137190.25it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1958075.96it/s]
Sample 217 completed
Generating sample 218/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13662/17071 [00:00<00:00, 136613.29it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136922.39it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1919442.50it/s]
Sample 218 completed
Generating sample 219/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13304/17071 [00:00<00:00, 33266.67it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 39922.26it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1897870.59it/s]
Sample 219 completed
Generating sample 220/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13792/17071 [00:00<00:00, 137916.51it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137927.58it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1971229.35it/s]
Sample 220 completed
Generating sample 221/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  82%|████████▏ | 13945/17071 [00:00<00:00, 139445.81it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 139227.54it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2118121.04it/s]
Sample 221 completed
Generating sample 222/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13657/17071 [00:00<00:00, 136563.94it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137020.65it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1958075.96it/s]
Sample 222 completed
Generating sample 223/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13847/17071 [00:00<00:00, 138459.90it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138366.57it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2054311.23it/s]
Sample 223 completed
Generating sample 224/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13663/17071 [00:00<00:00, 136625.90it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136569.30it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2012676.42it/s]
Sample 224 completed
Generating sample 225/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13567/17071 [00:00<00:00, 135663.01it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135407.60it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1815624.39it/s]
Sample 225 completed
Generating sample 226/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13756/17071 [00:00<00:00, 137552.26it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137185.52it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1866504.09it/s]
Sample 226 completed
Generating sample 227/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13821/17071 [00:00<00:00, 137860.41it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138232.74it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1897669.39it/s]
Sample 227 completed
Generating sample 228/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13721/17071 [00:00<00:00, 137197.70it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137596.52it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1900944.18it/s]
Sample 228 completed
Generating sample 229/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13715/17071 [00:00<00:00, 137143.59it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137013.83it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1924550.14it/s]
Sample 229 completed
Generating sample 230/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13794/17071 [00:00<00:00, 137926.98it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137852.43it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2043639.79it/s]
Sample 230 completed
Generating sample 231/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13744/17071 [00:00<00:00, 137432.92it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137271.00it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1923464.43it/s]
Sample 231 completed
Generating sample 232/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13700/17071 [00:00<00:00, 136986.41it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136959.32it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1977599.39it/s]
Sample 232 completed
Generating sample 233/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13756/17071 [00:00<00:00, 137553.90it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137332.61it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1976343.91it/s]
Sample 233 completed
Generating sample 234/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13783/17071 [00:00<00:00, 137826.85it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137564.53it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1882650.49it/s]
Sample 234 completed
Generating sample 235/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13719/17071 [00:00<00:00, 137179.99it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137024.85it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1924860.57it/s]
Sample 235 completed
Generating sample 236/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  62%|██████▏   | 10552/17071 [00:00<00:00, 27427.78it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 39360.85it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1907019.75it/s]
Sample 236 completed
Generating sample 237/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13472/17071 [00:00<00:00, 134713.70it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135277.38it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1914720.25it/s]
Sample 237 completed
Generating sample 238/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13464/17071 [00:00<00:00, 134635.96it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134689.80it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1961777.73it/s]
Sample 238 completed
Generating sample 239/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13279/17071 [00:00<00:00, 132782.85it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 132930.64it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1948961.94it/s]
Sample 239 completed
Generating sample 240/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13305/17071 [00:00<00:00, 132567.49it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133321.97it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1944621.50it/s]
Sample 240 completed
Generating sample 241/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13734/17071 [00:00<00:00, 137333.91it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137344.72it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1965817.30it/s]
Sample 241 completed
Generating sample 242/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13505/17071 [00:00<00:00, 135037.25it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134989.95it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2000250.41it/s]
Sample 242 completed
Generating sample 243/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13496/17071 [00:00<00:00, 134955.30it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134840.98it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1948219.51it/s]
Sample 243 completed
Generating sample 244/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13716/17071 [00:00<00:00, 137154.90it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136895.95it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1959683.71it/s]
Sample 244 completed
Generating sample 245/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13330/17071 [00:00<00:00, 133296.63it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133300.13it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1926932.65it/s]
Sample 245 completed
Generating sample 246/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13753/17071 [00:00<00:00, 137525.87it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137874.72it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1972532.68it/s]
Sample 246 completed
Generating sample 247/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13744/17071 [00:00<00:00, 137432.92it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137764.10it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1980608.10it/s]
Sample 247 completed
Generating sample 248/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13695/17071 [00:00<00:00, 136945.56it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137418.53it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1898021.51it/s]
Sample 248 completed
Generating sample 249/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13752/17071 [00:00<00:00, 137516.85it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137240.48it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2069511.64it/s]
Sample 249 completed
Generating sample 250/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13696/17071 [00:00<00:00, 136950.66it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136825.06it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1995456.32it/s]
Sample 250 completed
Generating sample 251/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13629/17071 [00:00<00:00, 136286.88it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136128.16it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1963930.10it/s]
Sample 251 completed
Generating sample 252/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  69%|██████▉   | 11839/17071 [00:00<00:00, 118379.95it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 123313.65it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1904230.30it/s]
Sample 252 completed
Generating sample 253/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  68%|██████▊   | 11610/17071 [00:00<00:00, 22922.14it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 31206.43it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1605834.83it/s]
Sample 253 completed
Generating sample 254/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13776/17071 [00:00<00:00, 137752.91it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137185.52it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1990574.47it/s]
Sample 254 completed
Generating sample 255/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13327/17071 [00:00<00:00, 133266.95it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134264.23it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1933384.55it/s]
Sample 255 completed
Generating sample 256/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13716/17071 [00:00<00:00, 137154.57it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137036.12it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1938094.51it/s]
Sample 256 completed
Generating sample 257/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13746/17071 [00:00<00:00, 137454.89it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137332.34it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1952789.06it/s]
Sample 257 completed
Generating sample 258/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13611/17071 [00:00<00:00, 136099.10it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136254.06it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1954014.78it/s]
Sample 258 completed
Generating sample 259/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13278/17071 [00:00<00:00, 132354.12it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 132367.64it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1676091.75it/s]
Sample 259 completed
Generating sample 260/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13330/17071 [00:00<00:00, 133288.05it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133396.73it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1610313.14it/s]
Sample 260 completed
Generating sample 261/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13711/17071 [00:00<00:00, 137101.96it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136957.49it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2000641.64it/s]
Sample 261 completed
Generating sample 262/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13757/17071 [00:00<00:00, 137560.62it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137418.53it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1923206.11it/s]
Sample 262 completed
Generating sample 263/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  70%|██████▉   | 11919/17071 [00:00<00:00, 119184.15it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 123653.11it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1929321.07it/s]
Sample 263 completed
Generating sample 264/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13843/17071 [00:00<00:00, 138418.25it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137960.26it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1863249.81it/s]
Sample 264 completed
Generating sample 265/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13499/17071 [00:00<00:00, 134978.54it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 131352.61it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1970415.64it/s]
Sample 265 completed
Generating sample 266/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13770/17071 [00:00<00:00, 137694.55it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136964.30it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1937412.77it/s]
Sample 266 completed
Generating sample 267/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13571/17071 [00:00<00:00, 135701.39it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135603.01it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1935318.10it/s]
Sample 267 completed
Generating sample 268/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13765/17071 [00:00<00:00, 137639.30it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137664.51it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1943407.53it/s]
Sample 268 completed
Generating sample 269/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13547/17071 [00:00<00:00, 135466.90it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136236.95it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1897870.59it/s]
Sample 269 completed
Generating sample 270/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13653/17071 [00:00<00:00, 136520.37it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136048.76it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2028183.54it/s]
Sample 270 completed
Generating sample 271/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):   1%|          | 198/17071 [00:00<00:38, 436.01it/s]
Calculating metrics (sequential):  79%|███████▉  | 13513/17071 [00:00<00:00, 32194.53it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 29394.30it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1982362.84it/s]
Sample 271 completed
Generating sample 272/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13796/17071 [00:00<00:00, 137953.22it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137701.84it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1955722.69it/s]
Sample 272 completed
Generating sample 273/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13669/17071 [00:00<00:00, 136683.94it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136537.27it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1949917.31it/s]
Sample 273 completed
Generating sample 274/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13699/17071 [00:00<00:00, 136982.95it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137350.52it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1866601.41it/s]
Sample 274 completed
Generating sample 275/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13634/17071 [00:00<00:00, 136329.73it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136397.34it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1995400.71it/s]
Sample 275 completed
Generating sample 276/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13485/17071 [00:00<00:00, 134841.45it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134785.64it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1965979.23it/s]
Sample 276 completed
Generating sample 277/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13765/17071 [00:00<00:00, 137644.88it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137458.89it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1948219.51it/s]
Sample 277 completed
Generating sample 278/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13555/17071 [00:00<00:00, 135546.25it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135263.32it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1894606.36it/s]
Sample 278 completed
Generating sample 279/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13475/17071 [00:00<00:00, 134745.95it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135260.00it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1905040.94it/s]
Sample 279 completed
Generating sample 280/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13693/17071 [00:00<00:00, 136912.83it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136924.23it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2010415.94it/s]
Sample 280 completed
Generating sample 281/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  70%|██████▉   | 11906/17071 [00:00<00:00, 118597.52it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 123394.62it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1916719.23it/s]
Sample 281 completed
Generating sample 282/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13500/17071 [00:00<00:00, 134987.26it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 131411.91it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1956952.10it/s]
Sample 282 completed
Generating sample 283/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13768/17071 [00:00<00:00, 137673.24it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137462.06it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1908748.23it/s]
Sample 283 completed
Generating sample 284/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13791/17071 [00:00<00:00, 137904.87it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137763.57it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1919185.26it/s]
Sample 284 completed
Generating sample 285/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13790/17071 [00:00<00:00, 137892.24it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137687.54it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1913338.77it/s]
Sample 285 completed
Generating sample 286/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13796/17071 [00:00<00:00, 137949.94it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137706.08it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1930205.25it/s]
Sample 286 completed
Generating sample 287/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13696/17071 [00:00<00:00, 136948.70it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 33496.38it/s] 

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1852212.11it/s]
Sample 287 completed
Generating sample 288/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13555/17071 [00:00<00:00, 135545.60it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135537.55it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1955028.49it/s]
Sample 288 completed
Generating sample 289/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13461/17071 [00:00<00:00, 134597.29it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134542.50it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1911142.76it/s]
Sample 289 completed
Generating sample 290/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13582/17071 [00:00<00:00, 135811.06it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135727.68it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1874910.67it/s]
Sample 290 completed
Generating sample 291/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13507/17071 [00:00<00:00, 135066.26it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135095.39it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1994233.61it/s]
Sample 291 completed
Generating sample 292/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13502/17071 [00:00<00:00, 135011.44it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134795.03it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2004786.88it/s]
Sample 292 completed
Generating sample 293/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  69%|██████▉   | 11815/17071 [00:00<00:00, 118147.58it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 118851.02it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1930517.50it/s]
Sample 293 completed
Generating sample 294/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13662/17071 [00:00<00:00, 136614.59it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136460.77it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1942985.63it/s]
Sample 294 completed
Generating sample 295/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13721/17071 [00:00<00:00, 137207.19it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137188.94it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1955242.04it/s]
Sample 295 completed
Generating sample 296/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13632/17071 [00:00<00:00, 136317.53it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136746.66it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1948537.63it/s]
Sample 296 completed
Generating sample 297/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13382/17071 [00:00<00:00, 133810.56it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133989.61it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1603066.46it/s]
Sample 297 completed
Generating sample 298/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13653/17071 [00:00<00:00, 136522.97it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136437.36it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2065809.68it/s]
Sample 298 completed
Generating sample 299/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13600/17071 [00:00<00:00, 135994.62it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135855.15it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1934272.46it/s]
Sample 299 completed
Generating sample 300/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13729/17071 [00:00<00:00, 137286.20it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137237.06it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2021769.41it/s]
Sample 300 completed
Generating sample 301/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13545/17071 [00:00<00:00, 135437.86it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135381.99it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2032790.04it/s]
Sample 301 completed
Generating sample 302/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13569/17071 [00:00<00:00, 135687.22it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135768.60it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1986597.96it/s]
Sample 302 completed
Generating sample 303/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13542/17071 [00:00<00:00, 135414.64it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135217.34it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1912878.73it/s]
Sample 303 completed
Generating sample 304/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  40%|███▉      | 6782/17071 [00:00<00:00, 13669.07it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 29842.80it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1862522.79it/s]
Sample 304 completed
Generating sample 305/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13664/17071 [00:00<00:00, 136637.20it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136485.74it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1962584.32it/s]
Sample 305 completed
Generating sample 306/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13498/17071 [00:00<00:00, 134972.41it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135094.12it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1988418.55it/s]
Sample 306 completed
Generating sample 307/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  76%|███████▋  | 13035/17071 [00:00<00:00, 130334.90it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 130839.67it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1947954.50it/s]
Sample 307 completed
Generating sample 308/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  76%|███████▌  | 12982/17071 [00:00<00:00, 129810.53it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 129980.80it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1892653.21it/s]
Sample 308 completed
Generating sample 309/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13455/17071 [00:00<00:00, 134541.79it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134938.31it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1879931.83it/s]
Sample 309 completed
Generating sample 310/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  77%|███████▋  | 13181/17071 [00:00<00:00, 131800.70it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 131991.62it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2006528.52it/s]
Sample 310 completed
Generating sample 311/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13463/17071 [00:00<00:00, 134621.78it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134598.40it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2018805.19it/s]
Sample 311 completed
Generating sample 312/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13515/17071 [00:00<00:00, 135144.33it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135147.16it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1782892.52it/s]
Sample 312 completed
Generating sample 313/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  77%|███████▋  | 13124/17071 [00:00<00:00, 131226.05it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 131140.66it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1508277.80it/s]
Sample 313 completed
Generating sample 314/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  68%|██████▊   | 11558/17071 [00:00<00:00, 115576.25it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 120799.63it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1867282.92it/s]
Sample 314 completed
Generating sample 315/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  76%|███████▌  | 12983/17071 [00:00<00:00, 129825.48it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 125577.39it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1610494.24it/s]
Sample 315 completed
Generating sample 316/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  77%|███████▋  | 13116/17071 [00:00<00:00, 131153.25it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 130650.11it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1609552.96it/s]
Sample 316 completed
Generating sample 317/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13530/17071 [00:00<00:00, 135293.36it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135661.58it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1903825.24it/s]
Sample 317 completed
Generating sample 318/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13382/17071 [00:00<00:00, 133810.24it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133803.06it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1804687.17it/s]
Sample 318 completed
Generating sample 319/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13480/17071 [00:00<00:00, 134795.63it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134788.69it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1991903.51it/s]
Sample 319 completed
Generating sample 320/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13282/17071 [00:00<00:00, 132810.94it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 132703.98it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2023712.26it/s]
Sample 320 completed
Generating sample 321/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  22%|██▏       | 3674/17071 [00:00<00:01, 7874.98it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 30205.82it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1939669.60it/s]
Sample 321 completed
Generating sample 322/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13288/17071 [00:00<00:00, 132870.31it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 132911.64it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1898021.51it/s]
Sample 322 completed
Generating sample 323/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▊  | 13439/17071 [00:00<00:00, 134386.28it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134145.75it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1879734.41it/s]
Sample 323 completed
Generating sample 324/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  77%|███████▋  | 13121/17071 [00:00<00:00, 131204.49it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 131815.20it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1595778.01it/s]
Sample 324 completed
Generating sample 325/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  66%|██████▌   | 11309/17071 [00:00<00:00, 113081.48it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 117690.41it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1643958.39it/s]
Sample 325 completed
Generating sample 326/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13498/17071 [00:00<00:00, 134967.90it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 131409.50it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1909308.11it/s]
Sample 326 completed
Generating sample 327/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▊  | 13421/17071 [00:00<00:00, 134204.69it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134105.80it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1935736.67it/s]
Sample 327 completed
Generating sample 328/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13319/17071 [00:00<00:00, 133183.46it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133060.09it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1889556.48it/s]
Sample 328 completed
Generating sample 329/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13472/17071 [00:00<00:00, 134714.67it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134571.33it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2010585.30it/s]
Sample 329 completed
Generating sample 330/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  77%|███████▋  | 13230/17071 [00:00<00:00, 132290.66it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 132184.36it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1681563.26it/s]
Sample 330 completed
Generating sample 331/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13388/17071 [00:00<00:00, 133873.74it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133795.31it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1981978.73it/s]
Sample 331 completed
Generating sample 332/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13346/17071 [00:00<00:00, 133451.85it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133419.35it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1926673.40it/s]
Sample 332 completed
Generating sample 333/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13257/17071 [00:00<00:00, 132557.48it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 132456.28it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1913850.20it/s]
Sample 333 completed
Generating sample 334/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  76%|███████▋  | 13037/17071 [00:00<00:00, 130358.00it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 129411.34it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1530491.07it/s]
Sample 334 completed
Generating sample 335/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  76%|███████▌  | 12935/17071 [00:00<00:00, 129340.26it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 130418.80it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1818621.92it/s]
Sample 335 completed
Generating sample 336/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  72%|███████▏  | 12304/17071 [00:00<00:00, 123020.47it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 122729.85it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1333525.11it/s]
Sample 336 completed
Generating sample 337/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  66%|██████▌   | 11250/17071 [00:00<00:00, 112489.92it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 117784.89it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1777889.99it/s]
Sample 337 completed
Generating sample 338/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):   7%|▋         | 1231/17071 [00:00<00:05, 2738.26it/s]
Calculating metrics (sequential):  87%|████████▋ | 14846/17071 [00:00<00:00, 34909.11it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 30179.67it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1908036.12it/s]
Sample 338 completed
Generating sample 339/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13464/17071 [00:00<00:00, 134637.56it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134724.01it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2007316.05it/s]
Sample 339 completed
Generating sample 340/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13668/17071 [00:00<00:00, 136673.94it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136606.82it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1923154.46it/s]
Sample 340 completed
Generating sample 341/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13665/17071 [00:00<00:00, 136646.87it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136497.19it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1893954.86it/s]
Sample 341 completed
Generating sample 342/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13303/17071 [00:00<00:00, 133023.15it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133177.65it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1717008.31it/s]
Sample 342 completed
Generating sample 343/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13832/17071 [00:00<00:00, 138310.57it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137863.84it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1917078.46it/s]
Sample 343 completed
Generating sample 344/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13675/17071 [00:00<00:00, 136746.54it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136650.62it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1989910.61it/s]
Sample 344 completed
Generating sample 345/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▊  | 13419/17071 [00:00<00:00, 134178.61it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133865.35it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1910225.00it/s]
Sample 345 completed
Generating sample 346/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13704/17071 [00:00<00:00, 137031.31it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136824.80it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1937937.14it/s]
Sample 346 completed
Generating sample 347/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13786/17071 [00:00<00:00, 137853.23it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138348.39it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1935893.68it/s]
Sample 347 completed
Generating sample 348/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13396/17071 [00:00<00:00, 133947.35it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133523.60it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1642186.27it/s]
Sample 348 completed
Generating sample 349/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13453/17071 [00:00<00:00, 134523.39it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134441.45it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1644675.86it/s]
Sample 349 completed
Generating sample 350/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13637/17071 [00:00<00:00, 136359.08it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136267.54it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1870551.32it/s]
Sample 350 completed
Generating sample 351/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13675/17071 [00:00<00:00, 136738.72it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136568.00it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1943407.53it/s]
Sample 351 completed
Generating sample 352/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13825/17071 [00:00<00:00, 138244.20it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138131.13it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1874125.47it/s]
Sample 352 completed
Generating sample 353/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13765/17071 [00:00<00:00, 137641.93it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137242.32it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1996847.58it/s]
Sample 353 completed
Generating sample 354/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  42%|████▏     | 7114/17071 [00:00<00:00, 12969.97it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 27351.81it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1712450.10it/s]
Sample 354 completed
Generating sample 355/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13252/17071 [00:00<00:00, 132514.76it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 128631.34it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1581642.67it/s]
Sample 355 completed
Generating sample 356/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13776/17071 [00:00<00:00, 137749.95it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137886.67it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1965169.85it/s]
Sample 356 completed
Generating sample 357/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13628/17071 [00:00<00:00, 136269.08it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136133.08it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1957915.33it/s]
Sample 357 completed
Generating sample 358/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13701/17071 [00:00<00:00, 137005.23it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136612.56it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1957433.60it/s]
Sample 358 completed
Generating sample 359/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13628/17071 [00:00<00:00, 136274.93it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136356.82it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1874763.40it/s]
Sample 359 completed
Generating sample 360/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▊  | 13409/17071 [00:00<00:00, 134085.97it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134000.64it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1645204.93it/s]
Sample 360 completed
Generating sample 361/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  76%|███████▌  | 13008/17071 [00:00<00:00, 130075.47it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 129662.80it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1730369.60it/s]
Sample 361 completed
Generating sample 362/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  76%|███████▌  | 12974/17071 [00:00<00:00, 129733.32it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 129927.97it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1577600.22it/s]
Sample 362 completed
Generating sample 363/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13321/17071 [00:00<00:00, 133202.19it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133106.59it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1916770.54it/s]
Sample 363 completed
Generating sample 364/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13817/17071 [00:00<00:00, 138165.85it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137982.33it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2385267.63it/s]
Sample 364 completed
Generating sample 365/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13606/17071 [00:00<00:00, 136046.83it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136021.62it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1909766.45it/s]
Sample 365 completed
Generating sample 366/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13692/17071 [00:00<00:00, 136910.66it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136681.93it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1953854.82it/s]
Sample 366 completed
Generating sample 367/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13396/17071 [00:00<00:00, 133950.55it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133506.17it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1606627.55it/s]
Sample 367 completed
Generating sample 368/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  76%|███████▋  | 13042/17071 [00:00<00:00, 130408.93it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 130508.18it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1641960.32it/s]
Sample 368 completed
Generating sample 369/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  66%|██████▌   | 11235/17071 [00:00<00:00, 112346.89it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 113600.57it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1648614.21it/s]
Sample 369 completed
Generating sample 370/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13546/17071 [00:00<00:00, 135455.61it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135391.98it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2017610.56it/s]
Sample 370 completed
Generating sample 371/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  74%|███████▍  | 12620/17071 [00:00<00:00, 21529.53it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 27577.12it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1598913.91it/s]
Sample 371 completed
Generating sample 372/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13473/17071 [00:00<00:00, 134710.86it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134293.19it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1969331.74it/s]
Sample 372 completed
Generating sample 373/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  77%|███████▋  | 13200/17071 [00:00<00:00, 131992.26it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 132400.68it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1701584.25it/s]
Sample 373 completed
Generating sample 374/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  76%|███████▋  | 13052/17071 [00:00<00:00, 130512.97it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 131351.89it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1756777.08it/s]
Sample 374 completed
Generating sample 375/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13287/17071 [00:00<00:00, 132866.01it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 131355.98it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1575864.15it/s]
Sample 375 completed
Generating sample 376/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13526/17071 [00:00<00:00, 135251.74it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135254.89it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1937045.87it/s]
Sample 376 completed
Generating sample 377/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▊  | 13443/17071 [00:00<00:00, 134419.23it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134237.04it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1909053.58it/s]
Sample 377 completed
Generating sample 378/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13528/17071 [00:00<00:00, 135269.49it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135132.87it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1916052.44it/s]
Sample 378 completed
Generating sample 379/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13542/17071 [00:00<00:00, 135414.96it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135213.77it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1985716.45it/s]
Sample 379 completed
Generating sample 380/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  75%|███████▌  | 12824/17071 [00:00<00:00, 128230.03it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 128762.73it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1627331.61it/s]
Sample 380 completed
Generating sample 381/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13541/17071 [00:00<00:00, 135401.41it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135315.73it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2029793.44it/s]
Sample 381 completed
Generating sample 382/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13444/17071 [00:00<00:00, 134431.15it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134222.95it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1935684.34it/s]
Sample 382 completed
Generating sample 383/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13539/17071 [00:00<00:00, 135383.35it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135204.83it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1916924.49it/s]
Sample 383 completed
Generating sample 384/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13315/17071 [00:00<00:00, 133141.56it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133161.55it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1898373.77it/s]
Sample 384 completed
Generating sample 385/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  69%|██████▉   | 11738/17071 [00:00<00:00, 117374.24it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 121450.40it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1769410.46it/s]
Sample 385 completed
Generating sample 386/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  75%|███████▍  | 12765/17071 [00:00<00:00, 127640.38it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 122476.46it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1341972.89it/s]
Sample 386 completed
Generating sample 387/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13259/17071 [00:00<00:00, 132576.85it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 131432.18it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1577322.19it/s]
Sample 387 completed
Generating sample 388/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  56%|█████▌    | 9529/17071 [00:00<00:00, 17332.00it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 28185.99it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1680024.49it/s]
Sample 388 completed
Generating sample 389/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13626/17071 [00:00<00:00, 136254.28it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136294.00it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1923102.80it/s]
Sample 389 completed
Generating sample 390/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13621/17071 [00:00<00:00, 136205.91it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136039.19it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1912776.52it/s]
Sample 390 completed
Generating sample 391/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13672/17071 [00:00<00:00, 136711.33it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136547.95it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1860780.26it/s]
Sample 391 completed
Generating sample 392/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  75%|███████▌  | 12877/17071 [00:00<00:00, 128766.75it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 128512.21it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1770635.63it/s]
Sample 392 completed
Generating sample 393/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  69%|██████▉   | 11808/17071 [00:00<00:00, 118069.70it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 118626.93it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1430188.63it/s]
Sample 393 completed
Generating sample 394/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13662/17071 [00:00<00:00, 136611.66it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136413.19it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1664596.73it/s]
Sample 394 completed
Generating sample 395/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▊  | 13401/17071 [00:00<00:00, 134004.38it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133897.65it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1931715.42it/s]
Sample 395 completed
Generating sample 396/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  70%|██████▉   | 11868/17071 [00:00<00:00, 118673.89it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 123246.79it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1905649.36it/s]
Sample 396 completed
Generating sample 397/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13351/17071 [00:00<00:00, 133498.99it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133765.57it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2022111.99it/s]
Sample 397 completed
Generating sample 398/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  72%|███████▏  | 12313/17071 [00:00<00:00, 123118.08it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 118470.30it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1547259.13it/s]
Sample 398 completed
Generating sample 399/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  74%|███████▍  | 12618/17071 [00:00<00:00, 126170.49it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 126861.64it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1693014.37it/s]
Sample 399 completed
Generating sample 400/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13652/17071 [00:00<00:00, 136511.34it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136242.13it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1950076.63it/s]
Sample 400 completed
Generating sample 401/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13644/17071 [00:00<00:00, 136432.65it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136179.94it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1872165.34it/s]
Sample 401 completed
Generating sample 402/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13702/17071 [00:00<00:00, 137013.60it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136698.37it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1933541.18it/s]
Sample 402 completed
Generating sample 403/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13618/17071 [00:00<00:00, 136172.99it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136123.50it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1844434.92it/s]
Sample 403 completed
Generating sample 404/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  74%|███████▎  | 12557/17071 [00:00<00:00, 125561.74it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 126084.45it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1552290.76it/s]
Sample 404 completed
Generating sample 405/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  12%|█▏        | 1966/17071 [00:00<00:04, 3704.84it/s]
Calculating metrics (sequential):  80%|████████  | 13722/17071 [00:00<00:00, 27853.76it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 25929.97it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1630890.00it/s]
Sample 405 completed
Generating sample 406/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13658/17071 [00:00<00:00, 136571.99it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136976.61it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1875107.07it/s]
Sample 406 completed
Generating sample 407/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13623/17071 [00:00<00:00, 136224.61it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136413.19it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1962046.52it/s]
Sample 407 completed
Generating sample 408/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13515/17071 [00:00<00:00, 135145.94it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135000.89it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1964846.29it/s]
Sample 408 completed
Generating sample 409/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13753/17071 [00:00<00:00, 137526.85it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137206.81it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1906207.43it/s]
Sample 409 completed
Generating sample 410/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  76%|███████▌  | 12917/17071 [00:00<00:00, 129157.81it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 128670.41it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1476430.29it/s]
Sample 410 completed
Generating sample 411/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  75%|███████▍  | 12781/17071 [00:00<00:00, 127805.55it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 127981.13it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1620114.57it/s]
Sample 411 completed
Generating sample 412/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  72%|███████▏  | 12295/17071 [00:00<00:00, 122934.88it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 122764.78it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1314502.73it/s]
Sample 412 completed
Generating sample 413/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  69%|██████▉   | 11776/17071 [00:00<00:00, 117750.57it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 122365.73it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1839554.08it/s]
Sample 413 completed
Generating sample 414/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13660/17071 [00:00<00:00, 136591.99it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136399.16it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1905142.31it/s]
Sample 414 completed
Generating sample 415/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▊  | 13427/17071 [00:00<00:00, 134258.28it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 130452.54it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1881908.26it/s]
Sample 415 completed
Generating sample 416/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13647/17071 [00:00<00:00, 136462.65it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136181.50it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1874763.40it/s]
Sample 416 completed
Generating sample 417/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  73%|███████▎  | 12526/17071 [00:00<00:00, 125254.45it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 126332.05it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1538779.82it/s]
Sample 417 completed
Generating sample 418/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  73%|███████▎  | 12427/17071 [00:00<00:00, 124259.45it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 124237.34it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1565869.82it/s]
Sample 418 completed
Generating sample 419/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13486/17071 [00:00<00:00, 134855.63it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134669.79it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1966897.33it/s]
Sample 419 completed
Generating sample 420/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  77%|███████▋  | 13106/17071 [00:00<00:00, 131054.81it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 131274.82it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1937884.69it/s]
Sample 420 completed
Generating sample 421/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13356/17071 [00:00<00:00, 133547.39it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133531.07it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1921348.24it/s]
Sample 421 completed
Generating sample 422/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  21%|██▏       | 3641/17071 [00:00<00:01, 7870.96it/s]
Calculating metrics (sequential):  98%|█████████▊| 16648/17071 [00:00<00:00, 36704.02it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 30161.49it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1928489.65it/s]
Sample 422 completed
Generating sample 423/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  74%|███████▎  | 12568/17071 [00:00<00:00, 125665.14it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 126317.56it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1566897.84it/s]
Sample 423 completed
Generating sample 424/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  62%|██████▏   | 10564/17071 [00:00<00:00, 105635.06it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 109699.82it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1517451.81it/s]
Sample 424 completed
Generating sample 425/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13730/17071 [00:00<00:00, 137292.28it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137000.73it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2011771.62it/s]
Sample 425 completed
Generating sample 426/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13366/17071 [00:00<00:00, 133649.93it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 129675.95it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1853458.71it/s]
Sample 426 completed
Generating sample 427/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13775/17071 [00:00<00:00, 137743.56it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137523.58it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1857449.51it/s]
Sample 427 completed
Generating sample 428/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13514/17071 [00:00<00:00, 135129.17it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135049.27it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1885674.95it/s]
Sample 428 completed
Generating sample 429/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13324/17071 [00:00<00:00, 133226.79it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134444.99it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1527291.73it/s]
Sample 429 completed
Generating sample 430/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  72%|███████▏  | 12347/17071 [00:00<00:00, 123466.00it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 122428.92it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1570299.88it/s]
Sample 430 completed
Generating sample 431/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13590/17071 [00:00<00:00, 135896.24it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135826.29it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1988584.22it/s]
Sample 431 completed
Generating sample 432/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13496/17071 [00:00<00:00, 134948.22it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134692.84it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1906156.69it/s]
Sample 432 completed
Generating sample 433/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13448/17071 [00:00<00:00, 134471.79it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134317.87it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1866990.78it/s]
Sample 433 completed
Generating sample 434/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▊  | 13415/17071 [00:00<00:00, 134145.01it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133904.66it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1850058.49it/s]
Sample 434 completed
Generating sample 435/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13700/17071 [00:00<00:00, 136989.35it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136853.56it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1921760.79it/s]
Sample 435 completed
Generating sample 436/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13243/17071 [00:00<00:00, 132420.97it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 132502.12it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1668359.01it/s]
Sample 436 completed
Generating sample 437/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  75%|███████▌  | 12825/17071 [00:00<00:00, 128239.12it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 128814.62it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1590390.34it/s]
Sample 437 completed
Generating sample 438/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13578/17071 [00:00<00:00, 135776.24it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136047.46it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1908900.89it/s]
Sample 438 completed
Generating sample 439/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  52%|█████▏    | 8847/17071 [00:00<00:00, 17257.83it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 29767.75it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1797754.43it/s]
Sample 439 completed
Generating sample 440/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  76%|███████▋  | 13045/17071 [00:00<00:00, 130443.28it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 130364.90it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1958933.10it/s]
Sample 440 completed
Generating sample 441/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13304/17071 [00:00<00:00, 133032.51it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133111.54it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1886618.98it/s]
Sample 441 completed
Generating sample 442/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  67%|██████▋   | 11495/17071 [00:00<00:00, 114938.87it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 119546.94it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1856727.01it/s]
Sample 442 completed
Generating sample 443/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  75%|███████▍  | 12791/17071 [00:00<00:00, 127899.45it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 123815.62it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1531211.13it/s]
Sample 443 completed
Generating sample 444/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13274/17071 [00:00<00:00, 132726.52it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 132510.45it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1775685.43it/s]
Sample 444 completed
Generating sample 445/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▊  | 13422/17071 [00:00<00:00, 134211.49it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134169.63it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1982582.41it/s]
Sample 445 completed
Generating sample 446/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13683/17071 [00:00<00:00, 136826.87it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136688.19it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1843342.78it/s]
Sample 446 completed
Generating sample 447/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13717/17071 [00:00<00:00, 137166.86it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136897.78it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1926103.29it/s]
Sample 447 completed
Generating sample 448/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13702/17071 [00:00<00:00, 137011.31it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137467.87it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1916308.84it/s]
Sample 448 completed
Generating sample 449/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13622/17071 [00:00<00:00, 136212.66it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135663.64it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1784269.82it/s]
Sample 449 completed
Generating sample 450/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  76%|███████▌  | 12936/17071 [00:00<00:00, 129347.17it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 129577.15it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1710854.31it/s]
Sample 450 completed
Generating sample 451/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13692/17071 [00:00<00:00, 136911.64it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136776.44it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1867282.92it/s]
Sample 451 completed
Generating sample 452/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13537/17071 [00:00<00:00, 135359.16it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135253.36it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1934324.71it/s]
Sample 452 completed
Generating sample 453/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13640/17071 [00:00<00:00, 136388.75it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136339.16it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1958772.33it/s]
Sample 453 completed
Generating sample 454/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13722/17071 [00:00<00:00, 137211.30it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136992.60it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1902611.10it/s]
Sample 454 completed
Generating sample 455/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  70%|██████▉   | 11944/17071 [00:00<00:00, 119431.57it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 123874.74it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1908697.35it/s]
Sample 455 completed
Generating sample 456/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  38%|███▊      | 6428/17071 [00:00<00:00, 11572.59it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 26739.08it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1631373.06it/s]
Sample 456 completed
Generating sample 457/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13732/17071 [00:00<00:00, 137309.33it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137510.64it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1887165.96it/s]
Sample 457 completed
Generating sample 458/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13578/17071 [00:00<00:00, 135769.77it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135853.09it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2033251.84it/s]
Sample 458 completed
Generating sample 459/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13735/17071 [00:00<00:00, 137343.91it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137197.87it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1990740.50it/s]
Sample 459 completed
Generating sample 460/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13552/17071 [00:00<00:00, 135514.64it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135413.49it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1814658.07it/s]
Sample 460 completed
Generating sample 461/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13355/17071 [00:00<00:00, 133538.67it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 132609.60it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1649487.73it/s]
Sample 461 completed
Generating sample 462/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  75%|███████▌  | 12840/17071 [00:00<00:00, 128394.31it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 128218.56it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1615435.86it/s]
Sample 462 completed
Generating sample 463/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13272/17071 [00:00<00:00, 132709.37it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 132685.78it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1956845.14it/s]
Sample 463 completed
Generating sample 464/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13578/17071 [00:00<00:00, 135776.89it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135522.67it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1919854.23it/s]
Sample 464 completed
Generating sample 465/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13724/17071 [00:00<00:00, 137229.01it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136929.46it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1946048.53it/s]
Sample 465 completed
Generating sample 466/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13664/17071 [00:00<00:00, 136634.59it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136752.93it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1965493.52it/s]
Sample 466 completed
Generating sample 467/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  76%|███████▋  | 13041/17071 [00:00<00:00, 130404.84it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 129489.27it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1822324.80it/s]
Sample 467 completed
Generating sample 468/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  76%|███████▌  | 12956/17071 [00:00<00:00, 129552.71it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 129104.96it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1722875.04it/s]
Sample 468 completed
Generating sample 469/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13625/17071 [00:00<00:00, 136244.93it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136956.70it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1864220.05it/s]
Sample 469 completed
Generating sample 470/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13606/17071 [00:00<00:00, 136046.51it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136261.58it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1882007.19it/s]
Sample 470 completed
Generating sample 471/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13739/17071 [00:00<00:00, 137387.84it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137179.21it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2018008.61it/s]
Sample 471 completed
Generating sample 472/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  69%|██████▉   | 11757/17071 [00:00<00:00, 117558.90it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 122266.48it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1863928.87it/s]
Sample 472 completed
Generating sample 473/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  48%|████▊     | 8147/17071 [00:00<00:00, 14810.23it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 27699.84it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1836251.73it/s]
Sample 473 completed
Generating sample 474/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  76%|███████▌  | 12899/17071 [00:00<00:00, 128985.82it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 128621.87it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1577426.44it/s]
Sample 474 completed
Generating sample 475/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13734/17071 [00:00<00:00, 137336.53it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137188.67it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1892053.05it/s]
Sample 475 completed
Generating sample 476/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13501/17071 [00:00<00:00, 135004.98it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134849.10it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2075269.94it/s]
Sample 476 completed
Generating sample 477/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13696/17071 [00:00<00:00, 136953.60it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136799.18it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1939617.05it/s]
Sample 477 completed
Generating sample 478/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13713/17071 [00:00<00:00, 137126.53it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136917.94it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1899380.95it/s]
Sample 478 completed
Generating sample 479/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13692/17071 [00:00<00:00, 136910.34it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136736.22it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1800014.17it/s]
Sample 479 completed
Generating sample 480/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  76%|███████▌  | 12968/17071 [00:00<00:00, 129672.70it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 129226.59it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1572887.03it/s]
Sample 480 completed
Generating sample 481/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  75%|███████▍  | 12801/17071 [00:00<00:00, 128000.97it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 128000.58it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1714213.02it/s]
Sample 481 completed
Generating sample 482/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13711/17071 [00:00<00:00, 137106.21it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136936.27it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2002768.13it/s]
Sample 482 completed
Generating sample 483/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  69%|██████▉   | 11843/17071 [00:00<00:00, 118419.67it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 123037.97it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1996346.50it/s]
Sample 483 completed
Generating sample 484/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13527/17071 [00:00<00:00, 135258.84it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 131246.67it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1952043.72it/s]
Sample 484 completed
Generating sample 485/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13795/17071 [00:00<00:00, 137941.25it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137696.28it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1916257.56it/s]
Sample 485 completed
Generating sample 486/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  75%|███████▌  | 12835/17071 [00:00<00:00, 128340.33it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 127588.19it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1567961.54it/s]
Sample 486 completed
Generating sample 487/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  76%|███████▌  | 12919/17071 [00:00<00:00, 129183.04it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 128894.16it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1539011.34it/s]
Sample 487 completed
Generating sample 488/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13472/17071 [00:00<00:00, 134708.25it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134643.96it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1900237.89it/s]
Sample 488 completed
Generating sample 489/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13322/17071 [00:00<00:00, 133062.77it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133554.73it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1953321.79it/s]
Sample 489 completed
Generating sample 490/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  30%|██▉       | 5050/17071 [00:00<00:01, 10637.68it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 30132.69it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1902762.78it/s]
Sample 490 completed
Generating sample 491/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13684/17071 [00:00<00:00, 136829.69it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136936.27it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1937622.48it/s]
Sample 491 completed
Generating sample 492/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  75%|███████▍  | 12759/17071 [00:00<00:00, 127580.39it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 127896.55it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1540468.24it/s]
Sample 492 completed
Generating sample 493/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  77%|███████▋  | 13067/17071 [00:00<00:00, 130664.83it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 130695.42it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1590955.75it/s]
Sample 493 completed
Generating sample 494/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13683/17071 [00:00<00:00, 136825.56it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136577.12it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1915539.84it/s]
Sample 494 completed
Generating sample 495/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13607/17071 [00:00<00:00, 136065.26it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135909.82it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1919493.96it/s]
Sample 495 completed
Generating sample 496/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13759/17071 [00:00<00:00, 137580.62it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137445.97it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1883244.70it/s]
Sample 496 completed
Generating sample 497/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13774/17071 [00:00<00:00, 137729.95it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137515.92it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1983461.14it/s]
Sample 497 completed
Generating sample 498/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  76%|███████▋  | 13037/17071 [00:00<00:00, 130360.18it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 130368.69it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1540435.09it/s]
Sample 498 completed
Generating sample 499/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  69%|██████▉   | 11787/17071 [00:00<00:00, 117863.37it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 117236.41it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1682748.85it/s]
Sample 499 completed
Generating sample 500/500 (prompt_gen: 4, temp: 1.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13735/17071 [00:00<00:00, 137344.24it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137010.95it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2014941.99it/s]
Sample 500 completed
Completed temperature 1.5
Running with temperature: 2.0
Generating sample 1/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13605/17071 [00:00<00:00, 136039.10it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135674.95it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1955402.23it/s]
Sample 1 completed
Generating sample 2/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13450/17071 [00:00<00:00, 134494.36it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134504.34it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1969440.08it/s]
Sample 2 completed
Generating sample 3/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  82%|████████▏ | 13935/17071 [00:00<00:00, 139341.50it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138941.70it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1930934.00it/s]
Sample 3 completed
Generating sample 4/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  73%|███████▎  | 12385/17071 [00:00<00:00, 123846.87it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 124158.71it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1408441.95it/s]
Sample 4 completed
Generating sample 5/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  75%|███████▍  | 12723/17071 [00:00<00:00, 127224.96it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 126499.45it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1625410.63it/s]
Sample 5 completed
Generating sample 6/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  76%|███████▌  | 12896/17071 [00:00<00:00, 128954.90it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 32735.86it/s] 

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1778861.73it/s]
Sample 6 completed
Generating sample 7/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13641/17071 [00:00<00:00, 136401.35it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136108.76it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1893303.81it/s]
Sample 7 completed
Generating sample 8/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  77%|███████▋  | 13168/17071 [00:00<00:00, 131660.66it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 132264.70it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1849485.03it/s]
Sample 8 completed
Generating sample 9/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13641/17071 [00:00<00:00, 136398.75it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136337.86it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1962154.05it/s]
Sample 9 completed
Generating sample 10/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  72%|███████▏  | 12239/17071 [00:00<00:00, 122377.57it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 125189.86it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1746152.02it/s]
Sample 10 completed
Generating sample 11/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  74%|███████▎  | 12571/17071 [00:00<00:00, 125699.03it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 125013.90it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1586584.32it/s]
Sample 11 completed
Generating sample 12/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  69%|██████▊   | 11723/17071 [00:00<00:00, 117224.52it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 120262.77it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1711508.63it/s]
Sample 12 completed
Generating sample 13/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13461/17071 [00:00<00:00, 134604.67it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 130693.51it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1940090.06it/s]
Sample 13 completed
Generating sample 14/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13457/17071 [00:00<00:00, 134559.86it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134573.61it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1917129.80it/s]
Sample 14 completed
Generating sample 15/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13708/17071 [00:00<00:00, 137075.88it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136839.96it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1948590.65it/s]
Sample 15 completed
Generating sample 16/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  76%|███████▌  | 12972/17071 [00:00<00:00, 129714.87it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 130944.48it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1918259.75it/s]
Sample 16 completed
Generating sample 17/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  73%|███████▎  | 12528/17071 [00:00<00:00, 125276.54it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 124671.72it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1496362.88it/s]
Sample 17 completed
Generating sample 18/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13609/17071 [00:00<00:00, 136078.77it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135725.62it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1954174.77it/s]
Sample 18 completed
Generating sample 19/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13476/17071 [00:00<00:00, 134743.42it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135086.47it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1886420.16it/s]
Sample 19 completed
Generating sample 20/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13396/17071 [00:00<00:00, 133947.35it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134265.74it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1915796.10it/s]
Sample 20 completed
Generating sample 21/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13480/17071 [00:00<00:00, 134791.45it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134556.41it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1928853.31it/s]
Sample 21 completed
Generating sample 22/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  73%|███████▎  | 12379/17071 [00:00<00:00, 123782.44it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 124565.44it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1502738.13it/s]
Sample 22 completed
Generating sample 23/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  71%|███████   | 12115/17071 [00:00<00:00, 121145.78it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 122029.97it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1544155.87it/s]
Sample 23 completed
Generating sample 24/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  21%|██▏       | 3670/17071 [00:00<00:01, 7748.54it/s]
Calculating metrics (sequential):  95%|█████████▌| 16298/17071 [00:00<00:00, 35214.95it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 29431.73it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1722129.15it/s]
Sample 24 completed
Generating sample 25/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▊  | 13436/17071 [00:00<00:00, 134356.28it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134134.44it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1967762.21it/s]
Sample 25 completed
Generating sample 26/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13694/17071 [00:00<00:00, 136934.25it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137299.95it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1898625.47it/s]
Sample 26 completed
Generating sample 27/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13621/17071 [00:00<00:00, 136202.34it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136020.33it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1980991.69it/s]
Sample 27 completed
Generating sample 28/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  72%|███████▏  | 12311/17071 [00:00<00:00, 123100.43it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 124264.94it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1484788.66it/s]
Sample 28 completed
Generating sample 29/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  76%|███████▌  | 12901/17071 [00:00<00:00, 129005.20it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 129808.78it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1505297.14it/s]
Sample 29 completed
Generating sample 30/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  70%|██████▉   | 11913/17071 [00:00<00:00, 119123.30it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 123568.18it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1884136.72it/s]
Sample 30 completed
Generating sample 31/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13332/17071 [00:00<00:00, 133308.69it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 129340.97it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2018805.19it/s]
Sample 31 completed
Generating sample 32/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13769/17071 [00:00<00:00, 137683.89it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137467.60it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1967221.57it/s]
Sample 32 completed
Generating sample 33/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13655/17071 [00:00<00:00, 136543.29it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136443.86it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1996457.83it/s]
Sample 33 completed
Generating sample 34/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13687/17071 [00:00<00:00, 136858.06it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136797.09it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1958558.01it/s]
Sample 34 completed
Generating sample 35/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  70%|███████   | 12031/17071 [00:00<00:00, 120306.39it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 121410.86it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1437943.60it/s]
Sample 35 completed
Generating sample 36/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▊  | 13425/17071 [00:00<00:00, 134238.29it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134737.20it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1931298.58it/s]
Sample 36 completed
Generating sample 37/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13501/17071 [00:00<00:00, 134997.90it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134829.55it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1982362.84it/s]
Sample 37 completed
Generating sample 38/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13500/17071 [00:00<00:00, 134992.73it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134851.14it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1893003.48it/s]
Sample 38 completed
Generating sample 39/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13699/17071 [00:00<00:00, 136979.03it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137360.01it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1902914.49it/s]
Sample 39 completed
Generating sample 40/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▊  | 13430/17071 [00:00<00:00, 134296.29it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134672.32it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1899985.77it/s]
Sample 40 completed
Generating sample 41/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  28%|██▊       | 4696/17071 [00:00<00:01, 8442.87it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 26018.56it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1519190.42it/s]
Sample 41 completed
Generating sample 42/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  62%|██████▏   | 10599/17071 [00:00<00:00, 105986.31it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 108691.34it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1514274.67it/s]
Sample 42 completed
Generating sample 43/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13615/17071 [00:00<00:00, 136145.91it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 132472.21it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1930986.07it/s]
Sample 43 completed
Generating sample 44/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▊  | 13437/17071 [00:00<00:00, 134363.72it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134685.49it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1945942.75it/s]
Sample 44 completed
Generating sample 45/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13382/17071 [00:00<00:00, 133817.26it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133702.62it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1938986.75it/s]
Sample 45 completed
Generating sample 46/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  77%|███████▋  | 13096/17071 [00:00<00:00, 130952.32it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 130927.00it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1977817.90it/s]
Sample 46 completed
Generating sample 47/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  71%|███████▏  | 12199/17071 [00:00<00:00, 121984.59it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 121910.09it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1311925.60it/s]
Sample 47 completed
Generating sample 48/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  71%|███████   | 12101/17071 [00:00<00:00, 121004.35it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 121506.87it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1473392.12it/s]
Sample 48 completed
Generating sample 49/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13586/17071 [00:00<00:00, 135851.71it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135622.53it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1849962.89it/s]
Sample 49 completed
Generating sample 50/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13455/17071 [00:00<00:00, 134533.13it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134433.63it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2052956.49it/s]
Sample 50 completed
Generating sample 51/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  76%|███████▋  | 13052/17071 [00:00<00:00, 130513.28it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 130623.65it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2004899.16it/s]
Sample 51 completed
Generating sample 52/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13375/17071 [00:00<00:00, 133747.26it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133811.82it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1993067.88it/s]
Sample 52 completed
Generating sample 53/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  73%|███████▎  | 12436/17071 [00:00<00:00, 124355.37it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 123927.27it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1583566.59it/s]
Sample 53 completed
Generating sample 54/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13516/17071 [00:00<00:00, 135153.36it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134867.90it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1970795.29it/s]
Sample 54 completed
Generating sample 55/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13735/17071 [00:00<00:00, 137343.58it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137157.40it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1913901.35it/s]
Sample 55 completed
Generating sample 56/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13517/17071 [00:00<00:00, 135165.94it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134959.16it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1859475.50it/s]
Sample 56 completed
Generating sample 57/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▊  | 13423/17071 [00:00<00:00, 134221.17it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 30461.72it/s] 

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1839412.31it/s]
Sample 57 completed
Generating sample 58/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13497/17071 [00:00<00:00, 134957.58it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134812.29it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1859185.80it/s]
Sample 58 completed
Generating sample 59/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  73%|███████▎  | 12469/17071 [00:00<00:00, 124669.91it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 124775.35it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1583041.42it/s]
Sample 59 completed
Generating sample 60/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  73%|███████▎  | 12497/17071 [00:00<00:00, 124962.37it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 125771.73it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1733973.40it/s]
Sample 60 completed
Generating sample 61/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  69%|██████▉   | 11858/17071 [00:00<00:00, 118577.85it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 118955.47it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1827580.88it/s]
Sample 61 completed
Generating sample 62/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13320/17071 [00:00<00:00, 133196.95it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133402.95it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2028298.45it/s]
Sample 62 completed
Generating sample 63/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13532/17071 [00:00<00:00, 135316.26it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135344.89it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1994678.06it/s]
Sample 63 completed
Generating sample 64/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13508/17071 [00:00<00:00, 135075.94it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134762.05it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1863104.36it/s]
Sample 64 completed
Generating sample 65/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  69%|██████▉   | 11776/17071 [00:00<00:00, 117757.59it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 118526.20it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1450674.95it/s]
Sample 65 completed
Generating sample 66/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  67%|██████▋   | 11492/17071 [00:00<00:00, 114907.23it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 117268.47it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1666844.30it/s]
Sample 66 completed
Generating sample 67/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13539/17071 [00:00<00:00, 135379.15it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135130.58it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1867964.93it/s]
Sample 67 completed
Generating sample 68/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  77%|███████▋  | 13080/17071 [00:00<00:00, 130786.09it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 130371.78it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1912827.62it/s]
Sample 68 completed
Generating sample 69/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13690/17071 [00:00<00:00, 136888.71it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137022.22it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1905547.93it/s]
Sample 69 completed
Generating sample 70/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  68%|██████▊   | 11645/17071 [00:00<00:00, 116439.28it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 120998.26it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1701948.27it/s]
Sample 70 completed
Generating sample 71/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  68%|██████▊   | 11564/17071 [00:00<00:00, 115628.81it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 113531.04it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1547459.77it/s]
Sample 71 completed
Generating sample 72/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  68%|██████▊   | 11552/17071 [00:00<00:00, 115513.23it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 120203.81it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2011037.06it/s]
Sample 72 completed
Generating sample 73/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13340/17071 [00:00<00:00, 133388.04it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 129418.12it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1926051.48it/s]
Sample 73 completed
Generating sample 74/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  70%|███████   | 11968/17071 [00:00<00:00, 22507.14it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 29897.99it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1893403.94it/s]
Sample 74 completed
Generating sample 75/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13716/17071 [00:00<00:00, 137153.26it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136860.63it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1915693.59it/s]
Sample 75 completed
Generating sample 76/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  68%|██████▊   | 11546/17071 [00:00<00:00, 115454.60it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 115111.13it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1465731.09it/s]
Sample 76 completed
Generating sample 77/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  69%|██████▉   | 11742/17071 [00:00<00:00, 117410.59it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 117599.37it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1199929.00it/s]
Sample 77 completed
Generating sample 78/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13754/17071 [00:00<00:00, 137532.26it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137260.73it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1929425.05it/s]
Sample 78 completed
Generating sample 79/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▊  | 13434/17071 [00:00<00:00, 134332.76it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133956.02it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1935946.02it/s]
Sample 79 completed
Generating sample 80/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13825/17071 [00:00<00:00, 138241.56it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137939.80it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1955135.26it/s]
Sample 80 completed
Generating sample 81/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13773/17071 [00:00<00:00, 137724.22it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138029.41it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1908290.39it/s]
Sample 81 completed
Generating sample 82/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  69%|██████▉   | 11857/17071 [00:00<00:00, 118562.20it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 117894.08it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1468767.84it/s]
Sample 82 completed
Generating sample 83/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  58%|█████▊    | 9941/17071 [00:00<00:00, 99404.88it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 104907.84it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1187885.12it/s]
Sample 83 completed
Generating sample 84/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13510/17071 [00:00<00:00, 135092.08it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 131390.93it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1966627.21it/s]
Sample 84 completed
Generating sample 85/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13775/17071 [00:00<00:00, 137740.94it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137722.23it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1931454.87it/s]
Sample 85 completed
Generating sample 86/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13603/17071 [00:00<00:00, 136021.05it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135838.91it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1923464.43it/s]
Sample 86 completed
Generating sample 87/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13763/17071 [00:00<00:00, 137618.98it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137382.94it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1948643.69it/s]
Sample 87 completed
Generating sample 88/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  67%|██████▋   | 11517/17071 [00:00<00:00, 115166.54it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 115959.17it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1244087.43it/s]
Sample 88 completed
Generating sample 89/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  66%|██████▌   | 11201/17071 [00:00<00:00, 111999.43it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 112186.07it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1456666.06it/s]
Sample 89 completed
Generating sample 90/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13505/17071 [00:00<00:00, 135044.98it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135741.83it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1933645.62it/s]
Sample 90 completed
Generating sample 91/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13335/17071 [00:00<00:00, 23901.07it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 29130.80it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1833900.15it/s]
Sample 91 completed
Generating sample 92/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13677/17071 [00:00<00:00, 136763.94it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136700.98it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1954281.45it/s]
Sample 92 completed
Generating sample 93/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13554/17071 [00:00<00:00, 135533.02it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135503.69it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1883591.50it/s]
Sample 93 completed
Generating sample 94/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  68%|██████▊   | 11664/17071 [00:00<00:00, 116631.49it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 117406.92it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1214481.37it/s]
Sample 94 completed
Generating sample 95/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  66%|██████▌   | 11255/17071 [00:00<00:00, 112536.96it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 112601.55it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1352288.35it/s]
Sample 95 completed
Generating sample 96/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13496/17071 [00:00<00:00, 134957.55it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134839.96it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1976562.14it/s]
Sample 96 completed
Generating sample 97/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13653/17071 [00:00<00:00, 136522.32it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136579.20it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1897769.98it/s]
Sample 97 completed
Generating sample 98/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13613/17071 [00:00<00:00, 136121.04it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135863.40it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1913083.16it/s]
Sample 98 completed
Generating sample 99/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13501/17071 [00:00<00:00, 135000.79it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135071.95it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1857690.46it/s]
Sample 99 completed
Generating sample 100/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  59%|█████▊    | 10016/17071 [00:00<00:00, 100150.54it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 100259.42it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1447653.93it/s]
Sample 100 completed
Generating sample 101/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13391/17071 [00:00<00:00, 133897.36it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134453.32it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2024341.63it/s]
Sample 101 completed
Generating sample 102/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13498/17071 [00:00<00:00, 134975.30it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134915.68it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1919391.05it/s]
Sample 102 completed
Generating sample 103/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13734/17071 [00:00<00:00, 137336.20it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137289.42it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1994455.81it/s]
Sample 103 completed
Generating sample 104/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13468/17071 [00:00<00:00, 134670.17it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134611.81it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1866504.09it/s]
Sample 104 completed
Generating sample 105/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  72%|███████▏  | 12352/17071 [00:00<00:00, 123514.52it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 125941.41it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1684688.92it/s]
Sample 105 completed
Generating sample 106/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  67%|██████▋   | 11381/17071 [00:00<00:00, 113804.14it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 115158.15it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1364425.63it/s]
Sample 106 completed
Generating sample 107/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13523/17071 [00:00<00:00, 135223.68it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135039.08it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1893704.41it/s]
Sample 107 completed
Generating sample 108/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  62%|██████▏   | 10556/17071 [00:00<00:00, 19842.74it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 29387.93it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1815118.10it/s]
Sample 108 completed
Generating sample 109/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13783/17071 [00:00<00:00, 137820.93it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137501.39it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1906562.74it/s]
Sample 109 completed
Generating sample 110/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▊  | 13423/17071 [00:00<00:00, 134213.17it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134125.39it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1934951.99it/s]
Sample 110 completed
Generating sample 111/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  70%|██████▉   | 11879/17071 [00:00<00:00, 118787.28it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 118408.39it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1684728.55it/s]
Sample 111 completed
Generating sample 112/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  68%|██████▊   | 11616/17071 [00:00<00:00, 116155.68it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 111311.95it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1426967.81it/s]
Sample 112 completed
Generating sample 113/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13624/17071 [00:00<00:00, 136232.66it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136584.15it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1922947.86it/s]
Sample 113 completed
Generating sample 114/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13325/17071 [00:00<00:00, 133241.23it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133120.45it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1722294.84it/s]
Sample 114 completed
Generating sample 115/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13810/17071 [00:00<00:00, 138089.27it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137962.39it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1974872.12it/s]
Sample 115 completed
Generating sample 116/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▊  | 13416/17071 [00:00<00:00, 134155.97it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134309.81it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1916411.42it/s]
Sample 116 completed
Generating sample 117/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  69%|██████▉   | 11771/17071 [00:00<00:00, 117699.45it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 117982.66it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1211399.24it/s]
Sample 117 completed
Generating sample 118/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  67%|██████▋   | 11418/17071 [00:00<00:00, 114169.49it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 115890.67it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1225288.58it/s]
Sample 118 completed
Generating sample 119/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13625/17071 [00:00<00:00, 136242.66it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135825.26it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1910225.00it/s]
Sample 119 completed
Generating sample 120/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▊  | 13417/17071 [00:00<00:00, 134157.65it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134320.39it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1930621.61it/s]
Sample 120 completed
Generating sample 121/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13748/17071 [00:00<00:00, 137468.99it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137754.30it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1897267.11it/s]
Sample 121 completed
Generating sample 122/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13570/17071 [00:00<00:00, 135688.81it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135325.44it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2040029.73it/s]
Sample 122 completed
Generating sample 123/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  60%|██████    | 10292/17071 [00:00<00:00, 102910.53it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 103934.15it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1220526.45it/s]
Sample 123 completed
Generating sample 124/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  73%|███████▎  | 12379/17071 [00:00<00:00, 123786.87it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 122595.99it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 998228.91it/s]
Sample 124 completed
Generating sample 125/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  70%|██████▉   | 11949/17071 [00:00<00:00, 21928.58it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 29305.37it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1842488.96it/s]
Sample 125 completed
Generating sample 126/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13593/17071 [00:00<00:00, 135921.38it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135749.81it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1995122.70it/s]
Sample 126 completed
Generating sample 127/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13730/17071 [00:00<00:00, 137296.20it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137136.91it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1889157.64it/s]
Sample 127 completed
Generating sample 128/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13691/17071 [00:00<00:00, 136906.21it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136851.99it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1985771.52it/s]
Sample 128 completed
Generating sample 129/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  69%|██████▉   | 11786/17071 [00:00<00:00, 117857.02it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 117467.98it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1219175.60it/s]
Sample 129 completed
Generating sample 130/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  66%|██████▌   | 11286/17071 [00:00<00:00, 112844.23it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 113252.88it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1617516.01it/s]
Sample 130 completed
Generating sample 131/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13675/17071 [00:00<00:00, 136739.70it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136709.85it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1855187.55it/s]
Sample 131 completed
Generating sample 132/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13606/17071 [00:00<00:00, 136045.21it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136613.86it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1963283.89it/s]
Sample 132 completed
Generating sample 133/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13595/17071 [00:00<00:00, 135945.92it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136025.24it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1980498.54it/s]
Sample 133 completed
Generating sample 134/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13655/17071 [00:00<00:00, 136546.22it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136595.88it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1946524.67it/s]
Sample 134 completed
Generating sample 135/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  69%|██████▉   | 11748/17071 [00:00<00:00, 117467.23it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 117575.62it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1452352.20it/s]
Sample 135 completed
Generating sample 136/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  68%|██████▊   | 11554/17071 [00:00<00:00, 115527.99it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 113694.55it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1418402.61it/s]
Sample 136 completed
Generating sample 137/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13724/17071 [00:00<00:00, 137230.64it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137081.77it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1917078.46it/s]
Sample 137 completed
Generating sample 138/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13625/17071 [00:00<00:00, 136237.79it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136111.86it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1921760.79it/s]
Sample 138 completed
Generating sample 139/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  69%|██████▉   | 11853/17071 [00:00<00:00, 118522.48it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 123321.73it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1912623.24it/s]
Sample 139 completed
Generating sample 140/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▊  | 13439/17071 [00:00<00:00, 134381.16it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 130546.97it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1862280.58it/s]
Sample 140 completed
Generating sample 141/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  65%|██████▍   | 11053/17071 [00:00<00:00, 110519.57it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 112200.13it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1115540.45it/s]
Sample 141 completed
Generating sample 142/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  71%|███████▏  | 12205/17071 [00:00<00:00, 122038.48it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 28328.77it/s] 

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 848905.85it/s]
Sample 142 completed
Generating sample 143/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13777/17071 [00:00<00:00, 137765.53it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137685.16it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2000529.84it/s]
Sample 143 completed
Generating sample 144/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13773/17071 [00:00<00:00, 137718.64it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137610.01it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1923464.43it/s]
Sample 144 completed
Generating sample 145/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13536/17071 [00:00<00:00, 135344.64it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135076.79it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1854562.88it/s]
Sample 145 completed
Generating sample 146/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13521/17071 [00:00<00:00, 135204.65it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134139.72it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1607312.81it/s]
Sample 146 completed
Generating sample 147/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  65%|██████▌   | 11167/17071 [00:00<00:00, 111657.59it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 112590.22it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1290130.70it/s]
Sample 147 completed
Generating sample 148/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13740/17071 [00:00<00:00, 137395.54it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136913.23it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1886768.13it/s]
Sample 148 completed
Generating sample 149/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13364/17071 [00:00<00:00, 133633.44it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133547.51it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1871137.92it/s]
Sample 149 completed
Generating sample 150/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13766/17071 [00:00<00:00, 137651.60it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137367.91it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1903724.01it/s]
Sample 150 completed
Generating sample 151/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  69%|██████▉   | 11755/17071 [00:00<00:00, 117547.31it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 117664.11it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1926880.80it/s]
Sample 151 completed
Generating sample 152/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  64%|██████▍   | 11010/17071 [00:00<00:00, 110088.29it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 110984.47it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1655245.71it/s]
Sample 152 completed
Generating sample 153/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  67%|██████▋   | 11469/17071 [00:00<00:00, 114677.81it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 113584.17it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1280623.91it/s]
Sample 153 completed
Generating sample 154/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13742/17071 [00:00<00:00, 137415.22it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137404.29it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1959040.29it/s]
Sample 154 completed
Generating sample 155/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████▏ | 13877/17071 [00:00<00:00, 138763.85it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138499.05it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1991404.91it/s]
Sample 155 completed
Generating sample 156/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13605/17071 [00:00<00:00, 136046.89it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135964.79it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2000977.10it/s]
Sample 156 completed
Generating sample 157/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13556/17071 [00:00<00:00, 135550.11it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135740.28it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1978419.04it/s]
Sample 157 completed
Generating sample 158/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13526/17071 [00:00<00:00, 135248.52it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135244.42it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1996346.50it/s]
Sample 158 completed
Generating sample 159/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  62%|██████▏   | 10576/17071 [00:00<00:00, 16322.87it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 24281.09it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1553166.24it/s]
Sample 159 completed
Generating sample 160/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  66%|██████▋   | 11324/17071 [00:00<00:00, 113226.88it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 113107.25it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1149976.13it/s]
Sample 160 completed
Generating sample 161/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13609/17071 [00:00<00:00, 136082.34it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136059.87it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2033829.39it/s]
Sample 161 completed
Generating sample 162/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  70%|██████▉   | 11871/17071 [00:00<00:00, 118701.34it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 118138.78it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1964415.03it/s]
Sample 162 completed
Generating sample 163/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13807/17071 [00:00<00:00, 138057.62it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137992.70it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1894907.20it/s]
Sample 163 completed
Generating sample 164/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  76%|███████▌  | 12977/17071 [00:00<00:00, 129763.01it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 126190.45it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1660851.37it/s]
Sample 164 completed
Generating sample 165/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  66%|██████▋   | 11319/17071 [00:00<00:00, 113177.16it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 111748.00it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1252575.33it/s]
Sample 165 completed
Generating sample 166/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  67%|██████▋   | 11490/17071 [00:00<00:00, 114891.62it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 120658.56it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1813922.52it/s]
Sample 166 completed
Generating sample 167/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13561/17071 [00:00<00:00, 135601.72it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135538.58it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1957273.07it/s]
Sample 167 completed
Generating sample 168/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13485/17071 [00:00<00:00, 134839.84it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134660.92it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1839554.08it/s]
Sample 168 completed
Generating sample 169/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13337/17071 [00:00<00:00, 133356.77it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133418.61it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1898021.51it/s]
Sample 169 completed
Generating sample 170/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13452/17071 [00:00<00:00, 134514.36it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134375.35it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1960327.55it/s]
Sample 170 completed
Generating sample 171/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  65%|██████▍   | 11096/17071 [00:00<00:00, 110951.11it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 113174.48it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1402510.45it/s]
Sample 171 completed
Generating sample 172/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  77%|███████▋  | 13128/17071 [00:00<00:00, 131269.17it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 131235.12it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1768361.66it/s]
Sample 172 completed
Generating sample 173/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13570/17071 [00:00<00:00, 135691.39it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136237.99it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1929165.12it/s]
Sample 173 completed
Generating sample 174/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  68%|██████▊   | 11569/17071 [00:00<00:00, 115682.94it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 120030.11it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1753807.96it/s]
Sample 174 completed
Generating sample 175/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  77%|███████▋  | 13094/17071 [00:00<00:00, 130933.26it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 127021.65it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1999803.47it/s]
Sample 175 completed
Generating sample 176/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  72%|███████▏  | 12291/17071 [00:00<00:00, 22860.86it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 29792.36it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1671904.07it/s]
Sample 176 completed
Generating sample 177/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  73%|███████▎  | 12486/17071 [00:00<00:00, 124851.78it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 124457.40it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1514947.50it/s]
Sample 177 completed
Generating sample 178/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13324/17071 [00:00<00:00, 133237.27it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 132829.78it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1731080.79it/s]
Sample 178 completed
Generating sample 179/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13596/17071 [00:00<00:00, 135953.32it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135854.38it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1975253.49it/s]
Sample 179 completed
Generating sample 180/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13234/17071 [00:00<00:00, 132330.35it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 132479.07it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1978637.73it/s]
Sample 180 completed
Generating sample 181/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▊  | 13423/17071 [00:00<00:00, 134216.37it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134210.62it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1763092.85it/s]
Sample 181 completed
Generating sample 182/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13600/17071 [00:00<00:00, 135990.40it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135892.54it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1854803.09it/s]
Sample 182 completed
Generating sample 183/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  73%|███████▎  | 12506/17071 [00:00<00:00, 125054.16it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 124520.17it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1388530.50it/s]
Sample 183 completed
Generating sample 184/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  73%|███████▎  | 12509/17071 [00:00<00:00, 125080.58it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 123577.14it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1497771.44it/s]
Sample 184 completed
Generating sample 185/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13735/17071 [00:00<00:00, 137338.34it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137152.67it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1936993.47it/s]
Sample 185 completed
Generating sample 186/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13706/17071 [00:00<00:00, 137055.23it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136888.36it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1969223.42it/s]
Sample 186 completed
Generating sample 187/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13680/17071 [00:00<00:00, 136792.96it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136631.33it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1968844.38it/s]
Sample 187 completed
Generating sample 188/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13774/17071 [00:00<00:00, 137735.21it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137682.25it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1964145.60it/s]
Sample 188 completed
Generating sample 189/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  72%|███████▏  | 12336/17071 [00:00<00:00, 123346.00it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 122636.10it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1485373.90it/s]
Sample 189 completed
Generating sample 190/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  63%|██████▎   | 10789/17071 [00:00<00:00, 107882.13it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 111828.10it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1392662.63it/s]
Sample 190 completed
Generating sample 191/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13560/17071 [00:00<00:00, 135595.93it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 131842.39it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1887364.94it/s]
Sample 191 completed
Generating sample 192/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13694/17071 [00:00<00:00, 136932.62it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137553.43it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1906968.96it/s]
Sample 192 completed
Generating sample 193/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13338/17071 [00:00<00:00, 24218.68it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 29504.96it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1790829.96it/s]
Sample 193 completed
Generating sample 194/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13780/17071 [00:00<00:00, 137793.23it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137620.85it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1926414.22it/s]
Sample 194 completed
Generating sample 195/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  69%|██████▉   | 11744/17071 [00:00<00:00, 117426.95it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 117630.47it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1462079.63it/s]
Sample 195 completed
Generating sample 196/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  68%|██████▊   | 11651/17071 [00:00<00:00, 116506.50it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 116860.42it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1434486.59it/s]
Sample 196 completed
Generating sample 197/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13260/17071 [00:00<00:00, 132588.43it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 132687.50it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1994900.36it/s]
Sample 197 completed
Generating sample 198/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13709/17071 [00:00<00:00, 137080.65it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136935.22it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2000529.84it/s]
Sample 198 completed
Generating sample 199/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13759/17071 [00:00<00:00, 137574.06it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137356.05it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1919185.26it/s]
Sample 199 completed
Generating sample 200/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  58%|█████▊    | 9974/17071 [00:00<00:00, 99731.06it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 103492.18it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1454594.58it/s]
Sample 200 completed
Generating sample 201/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  67%|██████▋   | 11356/17071 [00:00<00:00, 113551.45it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 111196.99it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1499182.65it/s]
Sample 201 completed
Generating sample 202/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13683/17071 [00:00<00:00, 136821.32it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137221.28it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1931298.58it/s]
Sample 202 completed
Generating sample 203/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13613/17071 [00:00<00:00, 136117.80it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136717.94it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1884533.44it/s]
Sample 203 completed
Generating sample 204/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13795/17071 [00:00<00:00, 137938.95it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137530.45it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2072326.81it/s]
Sample 204 completed
Generating sample 205/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13739/17071 [00:00<00:00, 137385.55it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137363.43it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1972369.67it/s]
Sample 205 completed
Generating sample 206/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  67%|██████▋   | 11512/17071 [00:00<00:00, 115117.09it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 113013.17it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1445724.74it/s]
Sample 206 completed
Generating sample 207/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  63%|██████▎   | 10769/17071 [00:00<00:00, 107677.52it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 109315.78it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1142671.89it/s]
Sample 207 completed
Generating sample 208/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13556/17071 [00:00<00:00, 135554.96it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135563.72it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1883294.24it/s]
Sample 208 completed
Generating sample 209/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13574/17071 [00:00<00:00, 135733.66it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135617.13it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1905852.26it/s]
Sample 209 completed
Generating sample 210/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  64%|██████▍   | 10931/17071 [00:00<00:00, 20519.60it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 29459.20it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1842346.74it/s]
Sample 210 completed
Generating sample 211/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13387/17071 [00:00<00:00, 133864.38it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133849.34it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1949386.43it/s]
Sample 211 completed
Generating sample 212/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  66%|██████▌   | 11190/17071 [00:00<00:00, 111892.37it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 111809.94it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1369383.66it/s]
Sample 212 completed
Generating sample 213/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  63%|██████▎   | 10748/17071 [00:00<00:00, 107470.62it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 104226.45it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1410189.54it/s]
Sample 213 completed
Generating sample 214/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13509/17071 [00:00<00:00, 135083.04it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134965.78it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1931038.15it/s]
Sample 214 completed
Generating sample 215/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13656/17071 [00:00<00:00, 136548.41it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136267.03it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1930049.16it/s]
Sample 215 completed
Generating sample 216/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13683/17071 [00:00<00:00, 136820.02it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137032.45it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1918876.66it/s]
Sample 216 completed
Generating sample 217/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  70%|██████▉   | 11894/17071 [00:00<00:00, 118930.19it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 123271.19it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2049606.79it/s]
Sample 217 completed
Generating sample 218/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  67%|██████▋   | 11356/17071 [00:00<00:00, 113552.53it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 108378.59it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1315130.48it/s]
Sample 218 completed
Generating sample 219/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13616/17071 [00:00<00:00, 136151.37it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135954.21it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1932028.16it/s]
Sample 219 completed
Generating sample 220/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13642/17071 [00:00<00:00, 136414.93it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136246.28it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1889805.84it/s]
Sample 220 completed
Generating sample 221/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13624/17071 [00:00<00:00, 136227.46it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136007.15it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1953375.08it/s]
Sample 221 completed
Generating sample 222/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13630/17071 [00:00<00:00, 136296.88it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136150.17it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1855235.62it/s]
Sample 222 completed
Generating sample 223/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13257/17071 [00:00<00:00, 129861.01it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 131226.46it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1911755.10it/s]
Sample 223 completed
Generating sample 224/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  65%|██████▌   | 11127/17071 [00:00<00:00, 111266.66it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 111572.30it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1064714.18it/s]
Sample 224 completed
Generating sample 225/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  69%|██████▉   | 11843/17071 [00:00<00:00, 118419.95it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 115200.40it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 756058.03it/s]
Sample 225 completed
Generating sample 226/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13680/17071 [00:00<00:00, 136793.28it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136719.25it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2003048.27it/s]
Sample 226 completed
Generating sample 227/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13239/17071 [00:00<00:00, 132373.40it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 28794.01it/s] 

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1763092.85it/s]
Sample 227 completed
Generating sample 228/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  70%|██████▉   | 11916/17071 [00:00<00:00, 119148.18it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 123805.34it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1853602.66it/s]
Sample 228 completed
Generating sample 229/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  58%|█████▊    | 9888/17071 [00:00<00:00, 98859.12it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 98857.85it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1395104.80it/s]
Sample 229 completed
Generating sample 230/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  72%|███████▏  | 12217/17071 [00:00<00:00, 122157.59it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 117290.56it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 649671.66it/s]
Sample 230 completed
Generating sample 231/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13817/17071 [00:00<00:00, 138161.57it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137973.29it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1993345.31it/s]
Sample 231 completed
Generating sample 232/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13786/17071 [00:00<00:00, 137855.86it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137037.96it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1928385.77it/s]
Sample 232 completed
Generating sample 233/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13868/17071 [00:00<00:00, 138670.21it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138433.72it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1989523.57it/s]
Sample 233 completed
Generating sample 234/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13826/17071 [00:00<00:00, 138249.91it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138150.59it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1869525.67it/s]
Sample 234 completed
Generating sample 235/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  70%|██████▉   | 11890/17071 [00:00<00:00, 118891.33it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 116579.77it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 924253.10it/s]
Sample 235 completed
Generating sample 236/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  61%|██████    | 10334/17071 [00:00<00:00, 103331.48it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 104159.28it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1225183.75it/s]
Sample 236 completed
Generating sample 237/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13528/17071 [00:00<00:00, 135267.55it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135386.60it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2019146.77it/s]
Sample 237 completed
Generating sample 238/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13534/17071 [00:00<00:00, 135329.16it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135149.71it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1944885.61it/s]
Sample 238 completed
Generating sample 239/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13665/17071 [00:00<00:00, 136637.10it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136537.53it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1943196.56it/s]
Sample 239 completed
Generating sample 240/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13585/17071 [00:00<00:00, 135841.06it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135843.55it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1989302.46it/s]
Sample 240 completed
Generating sample 241/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  56%|█████▋    | 9636/17071 [00:00<00:00, 96337.58it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 99631.21it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1102689.90it/s]
Sample 241 completed
Generating sample 242/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13490/17071 [00:00<00:00, 134892.73it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 128496.30it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1296250.04it/s]
Sample 242 completed
Generating sample 243/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13730/17071 [00:00<00:00, 137285.73it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137038.48it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1947689.56it/s]
Sample 243 completed
Generating sample 244/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  60%|█████▉    | 10205/17071 [00:00<00:00, 19276.28it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 29389.98it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1837948.60it/s]
Sample 244 completed
Generating sample 245/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13748/17071 [00:00<00:00, 137468.99it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137162.13it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2051250.89it/s]
Sample 245 completed
Generating sample 246/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13644/17071 [00:00<00:00, 136432.00it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136341.24it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1997014.66it/s]
Sample 246 completed
Generating sample 247/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  66%|██████▌   | 11297/17071 [00:00<00:00, 112965.80it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 110455.94it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 954654.06it/s]
Sample 247 completed
Generating sample 248/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13477/17071 [00:00<00:00, 134760.17it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135142.82it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1905345.10it/s]
Sample 248 completed
Generating sample 249/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13483/17071 [00:00<00:00, 134827.24it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134795.54it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2030656.94it/s]
Sample 249 completed
Generating sample 250/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13734/17071 [00:00<00:00, 137332.60it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137216.02it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2108577.42it/s]
Sample 250 completed
Generating sample 251/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  68%|██████▊   | 11688/17071 [00:00<00:00, 116873.15it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 117224.32it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1989191.93it/s]
Sample 251 completed
Generating sample 252/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  68%|██████▊   | 11535/17071 [00:00<00:00, 115339.94it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 112480.21it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1427764.53it/s]
Sample 252 completed
Generating sample 253/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  64%|██████▍   | 11007/17071 [00:00<00:00, 110062.50it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 107605.73it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1438059.12it/s]
Sample 253 completed
Generating sample 254/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13671/17071 [00:00<00:00, 136705.89it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137183.68it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1999803.47it/s]
Sample 254 completed
Generating sample 255/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13321/17071 [00:00<00:00, 133199.01it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133774.82it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1998575.44it/s]
Sample 255 completed
Generating sample 256/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13664/17071 [00:00<00:00, 136625.80it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136487.30it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2028355.91it/s]
Sample 256 completed
Generating sample 257/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13645/17071 [00:00<00:00, 136442.32it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136543.52it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2007034.72it/s]
Sample 257 completed
Generating sample 258/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  64%|██████▍   | 10887/17071 [00:00<00:00, 108859.20it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 107238.12it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1106712.27it/s]
Sample 258 completed
Generating sample 259/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  61%|██████▏   | 10463/17071 [00:00<00:00, 104621.37it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 104168.37it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1338210.70it/s]
Sample 259 completed
Generating sample 260/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13655/17071 [00:00<00:00, 136543.29it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136407.21it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1938934.24it/s]
Sample 260 completed
Generating sample 261/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  42%|████▏     | 7122/17071 [00:00<00:00, 14171.63it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 29555.18it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1874370.77it/s]
Sample 261 completed
Generating sample 262/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13641/17071 [00:00<00:00, 136399.72it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136137.22it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1934847.42it/s]
Sample 262 completed
Generating sample 263/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13747/17071 [00:00<00:00, 137460.95it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137367.12it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2074428.20it/s]
Sample 263 completed
Generating sample 264/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  65%|██████▍   | 11061/17071 [00:00<00:00, 110605.89it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 110628.82it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1477222.27it/s]
Sample 264 completed
Generating sample 265/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  57%|█████▋    | 9705/17071 [00:00<00:00, 97036.67it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 99010.69it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1483527.34it/s]
Sample 265 completed
Generating sample 266/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13331/17071 [00:00<00:00, 132857.48it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 129758.43it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2010077.30it/s]
Sample 266 completed
Generating sample 267/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▊  | 13401/17071 [00:00<00:00, 134002.14it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134000.64it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2014035.15it/s]
Sample 267 completed
Generating sample 268/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  76%|███████▌  | 12944/17071 [00:00<00:00, 129435.49it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 129552.30it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2007822.65it/s]
Sample 268 completed
Generating sample 269/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▊  | 13430/17071 [00:00<00:00, 134293.08it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134098.77it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1934220.21it/s]
Sample 269 completed
Generating sample 270/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  71%|███████▏  | 12194/17071 [00:00<00:00, 121929.07it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 122509.36it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1547961.60it/s]
Sample 270 completed
Generating sample 271/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  61%|██████    | 10344/17071 [00:00<00:00, 103429.50it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 105662.56it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1439533.64it/s]
Sample 271 completed
Generating sample 272/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13484/17071 [00:00<00:00, 134834.02it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134693.35it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1985991.83it/s]
Sample 272 completed
Generating sample 273/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13730/17071 [00:00<00:00, 137289.98it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137302.85it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2031463.53it/s]
Sample 273 completed
Generating sample 274/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13507/17071 [00:00<00:00, 135058.86it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135477.28it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1814612.08it/s]
Sample 274 completed
Generating sample 275/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13624/17071 [00:00<00:00, 136227.79it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136107.72it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2038867.92it/s]
Sample 275 completed
Generating sample 276/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13606/17071 [00:00<00:00, 136047.16it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135849.22it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2075450.41it/s]
Sample 276 completed
Generating sample 277/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  72%|███████▏  | 12374/17071 [00:00<00:00, 123729.20it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 126607.26it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1850967.18it/s]
Sample 277 completed
Generating sample 278/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  22%|██▏       | 3674/17071 [00:00<00:02, 5751.26it/s]
Calculating metrics (sequential):  82%|████████▏ | 14052/17071 [00:00<00:00, 23666.60it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 22154.22it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1393557.10it/s]
Sample 278 completed
Generating sample 279/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13587/17071 [00:00<00:00, 135862.36it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135677.78it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1972369.67it/s]
Sample 279 completed
Generating sample 280/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▊  | 13421/17071 [00:00<00:00, 134196.69it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133813.32it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1876384.70it/s]
Sample 280 completed
Generating sample 281/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13679/17071 [00:00<00:00, 136782.63it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136533.10it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2040494.83it/s]
Sample 281 completed
Generating sample 282/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  77%|███████▋  | 13147/17071 [00:00<00:00, 131459.16it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 131479.24it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1959790.98it/s]
Sample 282 completed
Generating sample 283/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  64%|██████▍   | 11006/17071 [00:00<00:00, 110040.95it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 109561.17it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1359529.18it/s]
Sample 283 completed
Generating sample 284/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  62%|██████▏   | 10626/17071 [00:00<00:00, 106241.36it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 105853.29it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1053482.09it/s]
Sample 284 completed
Generating sample 285/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13735/17071 [00:00<00:00, 137344.24it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137602.07it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1918670.98it/s]
Sample 285 completed
Generating sample 286/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13656/17071 [00:00<00:00, 136555.57it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136310.61it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2036142.86it/s]
Sample 286 completed
Generating sample 287/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13319/17071 [00:00<00:00, 133179.97it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133336.62it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2023426.32it/s]
Sample 287 completed
Generating sample 288/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13379/17071 [00:00<00:00, 133787.58it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133401.21it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1962960.95it/s]
Sample 288 completed
Generating sample 289/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13575/17071 [00:00<00:00, 135743.33it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135738.74it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1853027.01it/s]
Sample 289 completed
Generating sample 290/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  64%|██████▍   | 10931/17071 [00:00<00:00, 109300.72it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 109768.77it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1002435.54it/s]
Sample 290 completed
Generating sample 291/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  67%|██████▋   | 11371/17071 [00:00<00:00, 113687.88it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 112580.49it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1300818.70it/s]
Sample 291 completed
Generating sample 292/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13613/17071 [00:00<00:00, 136120.07it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 132938.79it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1911908.24it/s]
Sample 292 completed
Generating sample 293/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13555/17071 [00:00<00:00, 135535.59it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135501.64it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1972478.34it/s]
Sample 293 completed
Generating sample 294/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  69%|██████▊   | 11722/17071 [00:00<00:00, 117209.49it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 29168.30it/s] 

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1902914.49it/s]
Sample 294 completed
Generating sample 295/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13680/17071 [00:00<00:00, 136790.67it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137045.83it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1860151.81it/s]
Sample 295 completed
Generating sample 296/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13795/17071 [00:00<00:00, 137946.18it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137818.99it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1956791.66it/s]
Sample 296 completed
Generating sample 297/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  64%|██████▎   | 10847/17071 [00:00<00:00, 108463.12it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 107615.12it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1216028.32it/s]
Sample 297 completed
Generating sample 298/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13792/17071 [00:00<00:00, 137908.95it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138109.55it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2123397.50it/s]
Sample 298 completed
Generating sample 299/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13630/17071 [00:00<00:00, 136291.36it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136178.91it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2095556.18it/s]
Sample 299 completed
Generating sample 300/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13783/17071 [00:00<00:00, 137818.96it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137707.14it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2065809.68it/s]
Sample 300 completed
Generating sample 301/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13343/17071 [00:00<00:00, 133425.36it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133489.00it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1989689.42it/s]
Sample 301 completed
Generating sample 302/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13664/17071 [00:00<00:00, 136628.40it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136480.27it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1973184.99it/s]
Sample 302 completed
Generating sample 303/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  56%|█████▌    | 9540/17071 [00:00<00:00, 95392.59it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 98005.11it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1410522.90it/s]
Sample 303 completed
Generating sample 304/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13398/17071 [00:00<00:00, 133973.74it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 129021.44it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1708853.55it/s]
Sample 304 completed
Generating sample 305/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13477/17071 [00:00<00:00, 134761.45it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135252.08it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1920987.41it/s]
Sample 305 completed
Generating sample 306/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13546/17071 [00:00<00:00, 135450.44it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135793.32it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1863395.28it/s]
Sample 306 completed
Generating sample 307/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13595/17071 [00:00<00:00, 135940.08it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135901.31it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2058267.85it/s]
Sample 307 completed
Generating sample 308/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  66%|██████▌   | 11190/17071 [00:00<00:00, 111886.24it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 95683.05it/s] 

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1330872.93it/s]
Sample 308 completed
Generating sample 309/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  49%|████▉     | 8436/17071 [00:00<00:00, 84344.40it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 90845.84it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1775685.43it/s]
Sample 309 completed
Generating sample 310/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13739/17071 [00:00<00:00, 137381.61it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137187.36it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1925429.95it/s]
Sample 310 completed
Generating sample 311/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13628/17071 [00:00<00:00, 136263.24it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 29410.29it/s] 

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1831882.61it/s]
Sample 311 completed
Generating sample 312/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  70%|██████▉   | 11865/17071 [00:00<00:00, 118639.93it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 123187.84it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1944093.50it/s]
Sample 312 completed
Generating sample 313/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  45%|████▌     | 7716/17071 [00:00<00:00, 77157.87it/s]
Calculating metrics (sequential):  90%|█████████ | 15432/17071 [00:00<00:00, 77052.29it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 77978.09it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1256157.26it/s]
Sample 313 completed
Generating sample 314/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  63%|██████▎   | 10754/17071 [00:00<00:00, 107530.36it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 112435.34it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 884300.95it/s]
Sample 314 completed
Generating sample 315/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13626/17071 [00:00<00:00, 136248.11it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136213.11it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2023540.68it/s]
Sample 315 completed
Generating sample 316/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13763/17071 [00:00<00:00, 137217.27it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137600.22it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1968627.85it/s]
Sample 316 completed
Generating sample 317/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13600/17071 [00:00<00:00, 135994.94it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136539.61it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1955402.23it/s]
Sample 317 completed
Generating sample 318/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13613/17071 [00:00<00:00, 136126.88it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136055.22it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2088709.56it/s]
Sample 318 completed
Generating sample 319/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  66%|██████▋   | 11350/17071 [00:00<00:00, 113497.13it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 115283.12it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 869819.89it/s]
Sample 319 completed
Generating sample 320/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  65%|██████▌   | 11116/17071 [00:00<00:00, 111151.89it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 107731.37it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1460141.60it/s]
Sample 320 completed
Generating sample 321/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13620/17071 [00:00<00:00, 136191.36it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136089.35it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2009682.37it/s]
Sample 321 completed
Generating sample 322/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13595/17071 [00:00<00:00, 135941.38it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135855.67it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2082513.05it/s]
Sample 322 completed
Generating sample 323/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13738/17071 [00:00<00:00, 137361.46it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137072.59it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1779613.35it/s]
Sample 323 completed
Generating sample 324/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  69%|██████▉   | 11748/17071 [00:00<00:00, 117472.55it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 121687.57it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1960434.89it/s]
Sample 324 completed
Generating sample 325/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▊  | 13422/17071 [00:00<00:00, 134210.21it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 130632.71it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2000529.84it/s]
Sample 325 completed
Generating sample 326/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13640/17071 [00:00<00:00, 136387.77it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136752.15it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1791277.98it/s]
Sample 326 completed
Generating sample 327/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  74%|███████▍  | 12593/17071 [00:00<00:00, 125924.42it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 128466.10it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2015849.65it/s]
Sample 327 completed
Generating sample 328/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▊  | 13430/17071 [00:00<00:00, 134291.80it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134127.15it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1800240.45it/s]
Sample 328 completed
Generating sample 329/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  24%|██▎       | 4013/17071 [00:00<00:01, 8469.53it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 29955.42it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1910021.17it/s]
Sample 329 completed
Generating sample 330/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13760/17071 [00:00<00:00, 137594.88it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137514.33it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1976835.00it/s]
Sample 330 completed
Generating sample 331/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13726/17071 [00:00<00:00, 137248.68it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137134.28it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1883987.99it/s]
Sample 331 completed
Generating sample 332/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13365/17071 [00:00<00:00, 133643.44it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133826.57it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1926621.56it/s]
Sample 332 completed
Generating sample 333/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  75%|███████▌  | 12879/17071 [00:00<00:00, 128778.15it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 128786.36it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1767401.35it/s]
Sample 333 completed
Generating sample 334/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13792/17071 [00:00<00:00, 137909.61it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137753.77it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1976725.85it/s]
Sample 334 completed
Generating sample 335/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13841/17071 [00:00<00:00, 138406.83it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138228.47it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2003328.49it/s]
Sample 335 completed
Generating sample 336/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13762/17071 [00:00<00:00, 137611.93it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137412.99it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1824739.76it/s]
Sample 336 completed
Generating sample 337/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13779/17071 [00:00<00:00, 137785.86it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137647.84it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1870844.58it/s]
Sample 337 completed
Generating sample 338/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13753/17071 [00:00<00:00, 137520.62it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137386.63it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2034291.66it/s]
Sample 338 completed
Generating sample 339/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13813/17071 [00:00<00:00, 138121.24it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137811.04it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2024914.13it/s]
Sample 339 completed
Generating sample 340/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13600/17071 [00:00<00:00, 135996.89it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135806.97it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1863686.29it/s]
Sample 340 completed
Generating sample 341/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████▏ | 13912/17071 [00:00<00:00, 139111.84it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138643.87it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1896613.78it/s]
Sample 341 completed
Generating sample 342/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  70%|███████   | 11993/17071 [00:00<00:00, 119918.96it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 124473.84it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1977217.12it/s]
Sample 342 completed
Generating sample 343/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████▏ | 13872/17071 [00:00<00:00, 138712.53it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138347.59it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1908748.23it/s]
Sample 343 completed
Generating sample 344/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13380/17071 [00:00<00:00, 133797.26it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 130168.19it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1877417.89it/s]
Sample 344 completed
Generating sample 345/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  63%|██████▎   | 10752/17071 [00:00<00:00, 107515.74it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 26586.16it/s] 

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1114047.76it/s]
Sample 345 completed
Generating sample 346/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  72%|███████▏  | 12375/17071 [00:00<00:00, 123738.61it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 117830.83it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1547192.26it/s]
Sample 346 completed
Generating sample 347/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13684/17071 [00:00<00:00, 136832.95it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136010.25it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1991017.28it/s]
Sample 347 completed
Generating sample 348/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████▏ | 13884/17071 [00:00<00:00, 138830.20it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138506.02it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1941194.62it/s]
Sample 348 completed
Generating sample 349/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13675/17071 [00:00<00:00, 136745.24it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137121.42it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1870258.16it/s]
Sample 349 completed
Generating sample 350/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13812/17071 [00:00<00:00, 138117.50it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137786.11it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2025888.11it/s]
Sample 350 completed
Generating sample 351/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13576/17071 [00:00<00:00, 135752.36it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135766.02it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2016247.00it/s]
Sample 351 completed
Generating sample 352/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  75%|███████▌  | 12869/17071 [00:00<00:00, 128681.53it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 129258.55it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1878501.51it/s]
Sample 352 completed
Generating sample 353/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13715/17071 [00:00<00:00, 137138.36it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136934.96it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1987094.15it/s]
Sample 353 completed
Generating sample 354/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  60%|█████▉    | 10206/17071 [00:00<00:00, 102051.82it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 102067.94it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1178054.32it/s]
Sample 354 completed
Generating sample 355/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  70%|██████▉   | 11924/17071 [00:00<00:00, 119233.29it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 119568.70it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1895408.82it/s]
Sample 355 completed
Generating sample 356/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13861/17071 [00:00<00:00, 138602.20it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138755.37it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1851110.74it/s]
Sample 356 completed
Generating sample 357/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13670/17071 [00:00<00:00, 136689.05it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137169.75it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1876433.87it/s]
Sample 357 completed
Generating sample 358/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13807/17071 [00:00<00:00, 138059.93it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137860.39it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2012959.34it/s]
Sample 358 completed
Generating sample 359/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13800/17071 [00:00<00:00, 137992.24it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137794.86it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2016190.23it/s]
Sample 359 completed
Generating sample 360/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13828/17071 [00:00<00:00, 138275.85it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138130.07it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2006416.06it/s]
Sample 360 completed
Generating sample 361/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13689/17071 [00:00<00:00, 136884.58it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136698.89it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1883541.95it/s]
Sample 361 completed
Generating sample 362/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  54%|█████▍    | 9215/17071 [00:00<00:00, 92145.03it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 23645.28it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1765962.85it/s]
Sample 362 completed
Generating sample 363/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  62%|██████▏   | 10560/17071 [00:00<00:00, 105582.73it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 97913.17it/s] 

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1247729.61it/s]
Sample 363 completed
Generating sample 364/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13389/17071 [00:00<00:00, 133880.23it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134468.97it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1923671.14it/s]
Sample 364 completed
Generating sample 365/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13553/17071 [00:00<00:00, 135520.11it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135499.08it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1926310.56it/s]
Sample 365 completed
Generating sample 366/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13629/17071 [00:00<00:00, 136280.38it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136224.51it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1907578.62it/s]
Sample 366 completed
Generating sample 367/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13314/17071 [00:00<00:00, 133135.05it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133137.53it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1823299.30it/s]
Sample 367 completed
Generating sample 368/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13615/17071 [00:00<00:00, 136003.89it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136373.70it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1877221.01it/s]
Sample 368 completed
Generating sample 369/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13656/17071 [00:00<00:00, 136556.87it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136445.42it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2055372.71it/s]
Sample 369 completed
Generating sample 370/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13601/17071 [00:00<00:00, 135999.11it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135837.37it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1977544.77it/s]
Sample 370 completed
Generating sample 371/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  52%|█████▏    | 8822/17071 [00:00<00:00, 88209.78it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 91828.60it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1059969.85it/s]
Sample 371 completed
Generating sample 372/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13322/17071 [00:00<00:00, 133210.60it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 129213.76it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1930517.50it/s]
Sample 372 completed
Generating sample 373/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▊  | 13437/17071 [00:00<00:00, 134364.36it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134229.99it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1895559.36it/s]
Sample 373 completed
Generating sample 374/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13669/17071 [00:00<00:00, 136686.55it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136485.74it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1879241.06it/s]
Sample 374 completed
Generating sample 375/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13683/17071 [00:00<00:00, 136819.04it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136567.74it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1965925.25it/s]
Sample 375 completed
Generating sample 376/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13674/17071 [00:00<00:00, 136734.59it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136543.52it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1952948.85it/s]
Sample 376 completed
Generating sample 377/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13537/17071 [00:00<00:00, 135365.93it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135836.08it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1907680.27it/s]
Sample 377 completed
Generating sample 378/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13666/17071 [00:00<00:00, 136657.20it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136886.27it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1931090.23it/s]
Sample 378 completed
Generating sample 379/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13271/17071 [00:00<00:00, 132697.47it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 132937.06it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2058563.73it/s]
Sample 379 completed
Generating sample 380/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):   1%|▏         | 226/17071 [00:00<00:49, 339.61it/s]
Calculating metrics (sequential):  45%|████▌     | 7710/17071 [00:00<00:00, 13505.87it/s]
Calculating metrics (sequential):  88%|████████▊ | 15107/17071 [00:00<00:00, 25693.25it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 19133.01it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 979372.77it/s]
Sample 380 completed
Generating sample 381/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  70%|██████▉   | 11867/17071 [00:00<00:00, 118661.63it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 123425.25it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1985936.75it/s]
Sample 381 completed
Generating sample 382/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13376/17071 [00:00<00:00, 133757.26it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 129690.75it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1921915.54it/s]
Sample 382 completed
Generating sample 383/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13681/17071 [00:00<00:00, 136806.22it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136923.70it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1926206.92it/s]
Sample 383 completed
Generating sample 384/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13577/17071 [00:00<00:00, 135762.04it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135658.50it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2026060.09it/s]
Sample 384 completed
Generating sample 385/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  77%|███████▋  | 13218/17071 [00:00<00:00, 132168.78it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 132134.35it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1970361.42it/s]
Sample 385 completed
Generating sample 386/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13541/17071 [00:00<00:00, 135404.64it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135385.83it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1915796.10it/s]
Sample 386 completed
Generating sample 387/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13643/17071 [00:00<00:00, 136426.88it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136167.25it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1946365.93it/s]
Sample 387 completed
Generating sample 388/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  59%|█████▉    | 10080/17071 [00:00<00:00, 100794.81it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 101559.63it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1599235.32it/s]
Sample 388 completed
Generating sample 389/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13800/17071 [00:00<00:00, 137992.89it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137612.92it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1994566.93it/s]
Sample 389 completed
Generating sample 390/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  77%|███████▋  | 13089/17071 [00:00<00:00, 130882.95it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 131027.15it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1897518.51it/s]
Sample 390 completed
Generating sample 391/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13258/17071 [00:00<00:00, 132569.06it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 131738.08it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1888908.45it/s]
Sample 391 completed
Generating sample 392/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13372/17071 [00:00<00:00, 133708.01it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133689.64it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1760621.71it/s]
Sample 392 completed
Generating sample 393/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13558/17071 [00:00<00:00, 135575.93it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135552.18it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1959844.63it/s]
Sample 393 completed
Generating sample 394/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13641/17071 [00:00<00:00, 136402.98it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136397.60it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1904534.21it/s]
Sample 394 completed
Generating sample 395/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13674/17071 [00:00<00:00, 136737.20it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136616.47it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1985771.52it/s]
Sample 395 completed
Generating sample 396/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  60%|█████▉    | 10227/17071 [00:00<00:00, 20603.22it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 31174.09it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1924084.69it/s]
Sample 396 completed
Generating sample 397/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13832/17071 [00:00<00:00, 138313.87it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138765.05it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1927607.04it/s]
Sample 397 completed
Generating sample 398/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  61%|██████    | 10381/17071 [00:00<00:00, 103801.44it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 103340.57it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1172613.67it/s]
Sample 398 completed
Generating sample 399/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  69%|██████▉   | 11850/17071 [00:00<00:00, 118488.25it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 123306.01it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1814842.05it/s]
Sample 399 completed
Generating sample 400/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13489/17071 [00:00<00:00, 134880.48it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 131713.12it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1918979.51it/s]
Sample 400 completed
Generating sample 401/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13757/17071 [00:00<00:00, 137566.20it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137554.49it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2011093.55it/s]
Sample 401 completed
Generating sample 402/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13591/17071 [00:00<00:00, 135898.79it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135887.38it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1986873.59it/s]
Sample 402 completed
Generating sample 403/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13666/17071 [00:00<00:00, 136654.59it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136679.58it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2008216.85it/s]
Sample 403 completed
Generating sample 404/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13645/17071 [00:00<00:00, 136436.79it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136277.66it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1984120.70it/s]
Sample 404 completed
Generating sample 405/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13668/17071 [00:00<00:00, 136673.61it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136621.16it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1926725.25it/s]
Sample 405 completed
Generating sample 406/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13732/17071 [00:00<00:00, 137311.95it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137199.45it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1940300.35it/s]
Sample 406 completed
Generating sample 407/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  59%|█████▊    | 10002/17071 [00:00<00:00, 100016.04it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 100827.40it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1239714.72it/s]
Sample 407 completed
Generating sample 408/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13308/17071 [00:00<00:00, 133068.39it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133725.85it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1865920.40it/s]
Sample 408 completed
Generating sample 409/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13656/17071 [00:00<00:00, 136545.15it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136474.03it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1940510.69it/s]
Sample 409 completed
Generating sample 410/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13753/17071 [00:00<00:00, 137522.26it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137304.95it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1944568.69it/s]
Sample 410 completed
Generating sample 411/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  69%|██████▉   | 11860/17071 [00:00<00:00, 118591.91it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 122959.37it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1858317.25it/s]
Sample 411 completed
Generating sample 412/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▊  | 13409/17071 [00:00<00:00, 134076.06it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 130300.84it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1906410.45it/s]
Sample 412 completed
Generating sample 413/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  44%|████▎     | 7432/17071 [00:00<00:00, 14566.93it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 29329.13it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1859427.21it/s]
Sample 413 completed
Generating sample 414/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13510/17071 [00:00<00:00, 135096.26it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134876.54it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1919442.50it/s]
Sample 414 completed
Generating sample 415/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  59%|█████▉    | 10109/17071 [00:00<00:00, 101082.38it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 100865.46it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1277767.21it/s]
Sample 415 completed
Generating sample 416/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  77%|███████▋  | 13133/17071 [00:00<00:00, 131326.99it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 131393.34it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1707020.23it/s]
Sample 416 completed
Generating sample 417/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13385/17071 [00:00<00:00, 133834.81it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133318.49it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1931871.77it/s]
Sample 417 completed
Generating sample 418/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13499/17071 [00:00<00:00, 134979.19it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135195.90it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1932706.12it/s]
Sample 418 completed
Generating sample 419/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13353/17071 [00:00<00:00, 133524.40it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133885.13it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1917797.34it/s]
Sample 419 completed
Generating sample 420/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  77%|███████▋  | 13152/17071 [00:00<00:00, 131511.03it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 132045.65it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1985000.79it/s]
Sample 420 completed
Generating sample 421/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13446/17071 [00:00<00:00, 134454.04it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134655.35it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1973348.13it/s]
Sample 421 completed
Generating sample 422/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13503/17071 [00:00<00:00, 135024.01it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135096.92it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1956096.70it/s]
Sample 422 completed
Generating sample 423/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  64%|██████▍   | 10892/17071 [00:00<00:00, 108886.10it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 104164.43it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1607637.60it/s]
Sample 423 completed
Generating sample 424/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  50%|█████     | 8604/17071 [00:00<00:00, 86033.72it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 89972.77it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 907858.24it/s]
Sample 424 completed
Generating sample 425/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13242/17071 [00:00<00:00, 132411.60it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 132386.73it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1904939.57it/s]
Sample 425 completed
Generating sample 426/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13303/17071 [00:00<00:00, 133021.88it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 132888.45it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1851110.74it/s]
Sample 426 completed
Generating sample 427/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  76%|███████▋  | 13055/17071 [00:00<00:00, 130547.32it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 130457.06it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1700937.49it/s]
Sample 427 completed
Generating sample 428/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  67%|██████▋   | 11432/17071 [00:00<00:00, 114314.39it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 118780.63it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1981265.77it/s]
Sample 428 completed
Generating sample 429/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  75%|███████▌  | 12821/17071 [00:00<00:00, 128200.95it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 123959.02it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1750977.30it/s]
Sample 429 completed
Generating sample 430/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  74%|███████▍  | 12618/17071 [00:00<00:00, 23643.26it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 30073.31it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1938829.23it/s]
Sample 430 completed
Generating sample 431/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13793/17071 [00:00<00:00, 137917.64it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137777.09it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1953002.12it/s]
Sample 431 completed
Generating sample 432/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  61%|██████    | 10428/17071 [00:00<00:00, 104268.17it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 104291.57it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1272204.89it/s]
Sample 432 completed
Generating sample 433/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13567/17071 [00:00<00:00, 135662.37it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135372.52it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1994066.99it/s]
Sample 433 completed
Generating sample 434/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13756/17071 [00:00<00:00, 137551.60it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137391.11it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1966249.17it/s]
Sample 434 completed
Generating sample 435/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13748/17071 [00:00<00:00, 137476.85it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137317.86it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1958718.74it/s]
Sample 435 completed
Generating sample 436/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13553/17071 [00:00<00:00, 135517.21it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135296.29it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1979294.09it/s]
Sample 436 completed
Generating sample 437/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13453/17071 [00:00<00:00, 134521.15it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134358.71it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1891253.43it/s]
Sample 437 completed
Generating sample 438/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13706/17071 [00:00<00:00, 137050.65it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136856.70it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2039564.85it/s]
Sample 438 completed
Generating sample 439/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████▏ | 13889/17071 [00:00<00:00, 138880.20it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138615.96it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2328562.35it/s]
Sample 439 completed
Generating sample 440/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13789/17071 [00:00<00:00, 137883.89it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137730.71it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2006022.57it/s]
Sample 440 completed
Generating sample 441/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  60%|██████    | 10249/17071 [00:00<00:00, 102473.00it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 102567.83it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1151418.57it/s]
Sample 441 completed
Generating sample 442/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  69%|██████▉   | 11764/17071 [00:00<00:00, 117634.50it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 118422.89it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1844007.41it/s]
Sample 442 completed
Generating sample 443/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13662/17071 [00:00<00:00, 136612.64it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136419.17it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1915642.34it/s]
Sample 443 completed
Generating sample 444/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13527/17071 [00:00<00:00, 135262.71it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135322.63it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1962691.91it/s]
Sample 444 completed
Generating sample 445/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13483/17071 [00:00<00:00, 134825.95it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134641.17it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1895107.82it/s]
Sample 445 completed
Generating sample 446/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13683/17071 [00:00<00:00, 136818.71it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136587.54it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1942142.39it/s]
Sample 446 completed
Generating sample 447/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  58%|█████▊    | 9864/17071 [00:00<00:00, 19510.84it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 30415.47it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1885327.39it/s]
Sample 447 completed
Generating sample 448/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  77%|███████▋  | 13122/17071 [00:00<00:00, 131216.06it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 131214.92it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1994122.53it/s]
Sample 448 completed
Generating sample 449/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13645/17071 [00:00<00:00, 136437.12it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136232.02it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1975253.49it/s]
Sample 449 completed
Generating sample 450/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  60%|█████▉    | 10181/17071 [00:00<00:00, 101796.75it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 101868.41it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1246231.13it/s]
Sample 450 completed
Generating sample 451/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13768/17071 [00:00<00:00, 137670.61it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137903.93it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1830664.85it/s]
Sample 451 completed
Generating sample 452/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13382/17071 [00:00<00:00, 133815.34it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133606.07it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1992790.53it/s]
Sample 452 completed
Generating sample 453/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13371/17071 [00:00<00:00, 133703.11it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133528.08it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1879142.42it/s]
Sample 453 completed
Generating sample 454/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13334/17071 [00:00<00:00, 133335.68it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133335.13it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1977435.54it/s]
Sample 454 completed
Generating sample 455/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13316/17071 [00:00<00:00, 133156.63it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133001.76it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1959737.34it/s]
Sample 455 completed
Generating sample 456/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  77%|███████▋  | 13215/17071 [00:00<00:00, 132140.67it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 132148.99it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1976398.46it/s]
Sample 456 completed
Generating sample 457/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13341/17071 [00:00<00:00, 133230.97it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134040.53it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1925429.95it/s]
Sample 457 completed
Generating sample 458/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  59%|█████▉    | 10088/17071 [00:00<00:00, 100870.24it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 100510.50it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1315928.10it/s]
Sample 458 completed
Generating sample 459/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  68%|██████▊   | 11551/17071 [00:00<00:00, 115506.53it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 98752.05it/s] 

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1350885.11it/s]
Sample 459 completed
Generating sample 460/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  77%|███████▋  | 13111/17071 [00:00<00:00, 131097.62it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 127288.79it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1983131.52it/s]
Sample 460 completed
Generating sample 461/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  76%|███████▌  | 12980/17071 [00:00<00:00, 129789.29it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 129977.73it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1925222.87it/s]
Sample 461 completed
Generating sample 462/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13310/17071 [00:00<00:00, 133097.27it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 132911.64it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1853266.82it/s]
Sample 462 completed
Generating sample 463/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13341/17071 [00:00<00:00, 133400.90it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133445.71it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1910989.74it/s]
Sample 463 completed
Generating sample 464/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  42%|████▏     | 7144/17071 [00:00<00:00, 14486.74it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 30017.93it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1871578.11it/s]
Sample 464 completed
Generating sample 465/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13758/17071 [00:00<00:00, 137575.54it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137368.18it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1886171.69it/s]
Sample 465 completed
Generating sample 466/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13616/17071 [00:00<00:00, 136147.47it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135942.59it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1971935.10it/s]
Sample 466 completed
Generating sample 467/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  58%|█████▊    | 9876/17071 [00:00<00:00, 98752.56it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 99306.75it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1311709.30it/s]
Sample 467 completed
Generating sample 468/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13361/17071 [00:00<00:00, 133597.71it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133650.21it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1882997.07it/s]
Sample 468 completed
Generating sample 469/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  77%|███████▋  | 13224/17071 [00:00<00:00, 132231.61it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 132080.73it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1631521.75it/s]
Sample 469 completed
Generating sample 470/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  68%|██████▊   | 11680/17071 [00:00<00:00, 116795.66it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 121524.61it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1924498.42it/s]
Sample 470 completed
Generating sample 471/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13325/17071 [00:00<00:00, 133237.10it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 129631.58it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2023883.87it/s]
Sample 471 completed
Generating sample 472/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13705/17071 [00:00<00:00, 137039.68it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136811.20it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1970849.53it/s]
Sample 472 completed
Generating sample 473/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13522/17071 [00:00<00:00, 135207.23it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135057.17it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2033251.84it/s]
Sample 473 completed
Generating sample 474/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13713/17071 [00:00<00:00, 137127.19it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136992.86it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1879882.47it/s]
Sample 474 completed
Generating sample 475/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13840/17071 [00:00<00:00, 138395.84it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138064.81it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1888958.28it/s]
Sample 475 completed
Generating sample 476/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  60%|██████    | 10293/17071 [00:00<00:00, 102920.77it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 102930.85it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1283953.73it/s]
Sample 476 completed
Generating sample 477/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13669/17071 [00:00<00:00, 136587.55it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136904.85it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1896262.18it/s]
Sample 477 completed
Generating sample 478/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13656/17071 [00:00<00:00, 136539.62it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136750.84it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1899532.12it/s]
Sample 478 completed
Generating sample 479/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▊  | 13424/17071 [00:00<00:00, 134236.61it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134590.81it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1818252.46it/s]
Sample 479 completed
Generating sample 480/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13551/17071 [00:00<00:00, 135502.70it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135584.52it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1956470.85it/s]
Sample 480 completed
Generating sample 481/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  50%|████▉     | 8474/17071 [00:00<00:00, 16445.15it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 29413.65it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1845908.98it/s]
Sample 481 completed
Generating sample 482/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  69%|██████▉   | 11806/17071 [00:00<00:00, 118052.23it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 122737.64it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1961455.28it/s]
Sample 482 completed
Generating sample 483/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13540/17071 [00:00<00:00, 135385.60it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 131546.39it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1838373.31it/s]
Sample 483 completed
Generating sample 484/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13792/17071 [00:00<00:00, 137911.91it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138132.47it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1917283.80it/s]
Sample 484 completed
Generating sample 485/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  62%|██████▏   | 10507/17071 [00:00<00:00, 105057.58it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 104719.73it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1363152.79it/s]
Sample 485 completed
Generating sample 486/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13841/17071 [00:00<00:00, 138406.50it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138201.79it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1969602.61it/s]
Sample 486 completed
Generating sample 487/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13840/17071 [00:00<00:00, 138395.51it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138201.79it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1880129.29it/s]
Sample 487 completed
Generating sample 488/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13644/17071 [00:00<00:00, 136430.05it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136167.25it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1977380.93it/s]
Sample 488 completed
Generating sample 489/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13655/17071 [00:00<00:00, 135980.51it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136219.58it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1918928.08it/s]
Sample 489 completed
Generating sample 490/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13605/17071 [00:00<00:00, 136044.29it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136412.67it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1951033.10it/s]
Sample 490 completed
Generating sample 491/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▊  | 13439/17071 [00:00<00:00, 134377.95it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134268.76it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1986983.87it/s]
Sample 491 completed
Generating sample 492/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13706/17071 [00:00<00:00, 137055.88it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136962.20it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1974436.45it/s]
Sample 492 completed
Generating sample 493/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13654/17071 [00:00<00:00, 136529.06it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136406.69it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1971935.10it/s]
Sample 493 completed
Generating sample 494/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13682/17071 [00:00<00:00, 136812.95it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136583.63it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1962691.91it/s]
Sample 494 completed
Generating sample 495/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  52%|█████▏    | 8905/17071 [00:00<00:00, 89043.50it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 89605.15it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1220068.90it/s]
Sample 495 completed
Generating sample 496/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13692/17071 [00:00<00:00, 136907.73it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136746.14it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1893203.69it/s]
Sample 496 completed
Generating sample 497/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13718/17071 [00:00<00:00, 137175.55it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136763.90it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1823577.92it/s]
Sample 497 completed
Generating sample 498/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  58%|█████▊    | 9883/17071 [00:00<00:00, 18868.91it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 29594.67it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1795905.68it/s]
Sample 498 completed
Generating sample 499/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13719/17071 [00:00<00:00, 137179.66it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137674.83it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1930309.32it/s]
Sample 499 completed
Generating sample 500/500 (prompt_gen: 4, temp: 2.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13688/17071 [00:00<00:00, 136875.89it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136649.32it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1976234.82it/s]
Sample 500 completed
Completed temperature 2.0
Running with temperature: 2.5
Generating sample 1/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13739/17071 [00:00<00:00, 137383.25it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137282.31it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1953748.19it/s]
Sample 1 completed
Generating sample 2/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13511/17071 [00:00<00:00, 135096.92it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134998.60it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1940826.29it/s]
Sample 2 completed
Generating sample 3/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  51%|█████▏    | 8757/17071 [00:00<00:00, 87545.66it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 83949.03it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1050452.80it/s]
Sample 3 completed
Generating sample 4/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  60%|██████    | 10244/17071 [00:00<00:00, 102431.31it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 102091.66it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1276104.79it/s]
Sample 4 completed
Generating sample 5/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13737/17071 [00:00<00:00, 137366.86it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137162.39it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1801010.25it/s]
Sample 5 completed
Generating sample 6/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13556/17071 [00:00<00:00, 135554.96it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135104.31it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1812866.20it/s]
Sample 6 completed
Generating sample 7/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13544/17071 [00:00<00:00, 135433.99it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135274.06it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1911857.19it/s]
Sample 7 completed
Generating sample 8/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13792/17071 [00:00<00:00, 137916.19it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137423.28it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1883244.70it/s]
Sample 8 completed
Generating sample 9/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13445/17071 [00:00<00:00, 134438.59it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134756.47it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1941984.37it/s]
Sample 9 completed
Generating sample 10/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13515/17071 [00:00<00:00, 135138.85it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135479.33it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1899834.53it/s]
Sample 10 completed
Generating sample 11/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13774/17071 [00:00<00:00, 137728.97it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137702.63it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2038519.63it/s]
Sample 11 completed
Generating sample 12/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  69%|██████▉   | 11843/17071 [00:00<00:00, 118418.82it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 122725.43it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1981485.09it/s]
Sample 12 completed
Generating sample 13/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  69%|██████▉   | 11777/17071 [00:00<00:00, 117761.97it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 119422.72it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1333103.03it/s]
Sample 13 completed
Generating sample 14/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  60%|██████    | 10247/17071 [00:00<00:00, 102463.01it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 102823.68it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1662393.81it/s]
Sample 14 completed
Generating sample 15/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  44%|████▎     | 7456/17071 [00:00<00:00, 14890.04it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 29809.76it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1838750.99it/s]
Sample 15 completed
Generating sample 16/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13706/17071 [00:00<00:00, 137050.33it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137101.99it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1893053.53it/s]
Sample 16 completed
Generating sample 17/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13820/17071 [00:00<00:00, 138193.87it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138578.67it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1809430.23it/s]
Sample 17 completed
Generating sample 18/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13599/17071 [00:00<00:00, 135982.02it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135732.82it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1773222.80it/s]
Sample 18 completed
Generating sample 19/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13689/17071 [00:00<00:00, 136886.54it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136793.69it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1955242.04it/s]
Sample 19 completed
Generating sample 20/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  77%|███████▋  | 13190/17071 [00:00<00:00, 131888.81it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 131749.71it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1708323.52it/s]
Sample 20 completed
Generating sample 21/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13445/17071 [00:00<00:00, 134444.36it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134310.32it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1961240.37it/s]
Sample 21 completed
Generating sample 22/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  58%|█████▊    | 9958/17071 [00:00<00:00, 99576.06it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 100510.50it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 498989.24it/s]
Sample 22 completed
Generating sample 23/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  60%|█████▉    | 10173/17071 [00:00<00:00, 101711.42it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 94913.91it/s] 

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 834928.50it/s]
Sample 23 completed
Generating sample 24/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13556/17071 [00:00<00:00, 135554.96it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 131787.30it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1900288.32it/s]
Sample 24 completed
Generating sample 25/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13633/17071 [00:00<00:00, 136319.73it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135539.35it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1940721.08it/s]
Sample 25 completed
Generating sample 26/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13825/17071 [00:00<00:00, 138246.18it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137922.53it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1945572.62it/s]
Sample 26 completed
Generating sample 27/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13795/17071 [00:00<00:00, 137943.88it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137689.13it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1927140.11it/s]
Sample 27 completed
Generating sample 28/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13557/17071 [00:00<00:00, 135562.70it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135404.52it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1984670.67it/s]
Sample 28 completed
Generating sample 29/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13645/17071 [00:00<00:00, 136435.17it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136065.82it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1923516.11it/s]
Sample 29 completed
Generating sample 30/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13545/17071 [00:00<00:00, 135445.29it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135954.98it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1966573.20it/s]
Sample 30 completed
Generating sample 31/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  60%|█████▉    | 10186/17071 [00:00<00:00, 101847.71it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 102075.07it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1169148.03it/s]
Sample 31 completed
Generating sample 32/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  76%|███████▌  | 13001/17071 [00:00<00:00, 24129.63it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 30050.78it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1802824.14it/s]
Sample 32 completed
Generating sample 33/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13523/17071 [00:00<00:00, 135223.36it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135168.59it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1895308.48it/s]
Sample 33 completed
Generating sample 34/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13772/17071 [00:00<00:00, 137711.59it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137421.17it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1821027.08it/s]
Sample 34 completed
Generating sample 35/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13681/17071 [00:00<00:00, 136803.93it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137191.30it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1895910.70it/s]
Sample 35 completed
Generating sample 36/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13654/17071 [00:00<00:00, 136534.92it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136493.54it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1973184.99it/s]
Sample 36 completed
Generating sample 37/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13597/17071 [00:00<00:00, 135963.97it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135873.71it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1913236.52it/s]
Sample 37 completed
Generating sample 38/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13741/17071 [00:00<00:00, 137404.56it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137201.03it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1972913.14it/s]
Sample 38 completed
Generating sample 39/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  77%|███████▋  | 13205/17071 [00:00<00:00, 132042.26it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 131876.14it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1866114.93it/s]
Sample 39 completed
Generating sample 40/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  51%|█████     | 8732/17071 [00:00<00:00, 87311.34it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 90877.43it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1239006.79it/s]
Sample 40 completed
Generating sample 41/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13256/17071 [00:00<00:00, 132548.12it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133351.02it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1752177.06it/s]
Sample 41 completed
Generating sample 42/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13396/17071 [00:00<00:00, 133947.99it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 130165.82it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2034118.28it/s]
Sample 42 completed
Generating sample 43/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  77%|███████▋  | 13127/17071 [00:00<00:00, 131264.80it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 131344.42it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1900237.89it/s]
Sample 43 completed
Generating sample 44/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13645/17071 [00:00<00:00, 136437.77it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136351.10it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1990851.20it/s]
Sample 44 completed
Generating sample 45/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13548/17071 [00:00<00:00, 135473.99it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135469.34it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1861747.93it/s]
Sample 45 completed
Generating sample 46/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13589/17071 [00:00<00:00, 135882.03it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135694.49it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1947742.54it/s]
Sample 46 completed
Generating sample 47/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13599/17071 [00:00<00:00, 135985.27it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135964.28it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1878205.85it/s]
Sample 47 completed
Generating sample 48/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13777/17071 [00:00<00:00, 137761.92it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137500.07it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1784269.82it/s]
Sample 48 completed
Generating sample 49/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  59%|█████▊    | 9998/17071 [00:00<00:00, 99964.60it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 22957.97it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1811627.75it/s]
Sample 49 completed
Generating sample 50/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13391/17071 [00:00<00:00, 133897.68it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134356.94it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1830290.48it/s]
Sample 50 completed
Generating sample 51/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  77%|███████▋  | 13162/17071 [00:00<00:00, 131613.85it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 131880.27it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1974000.98it/s]
Sample 51 completed
Generating sample 52/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  67%|██████▋   | 11414/17071 [00:00<00:00, 114128.14it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 118884.76it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1832351.41it/s]
Sample 52 completed
Generating sample 53/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  77%|███████▋  | 13158/17071 [00:00<00:00, 131568.83it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 127457.37it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1945678.36it/s]
Sample 53 completed
Generating sample 54/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13363/17071 [00:00<00:00, 133625.67it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134239.31it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1949174.16it/s]
Sample 54 completed
Generating sample 55/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  76%|███████▋  | 13056/17071 [00:00<00:00, 130554.83it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 131348.75it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1969710.97it/s]
Sample 55 completed
Generating sample 56/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13321/17071 [00:00<00:00, 133199.33it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133026.47it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1992402.36it/s]
Sample 56 completed
Generating sample 57/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13488/17071 [00:00<00:00, 134874.34it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134681.69it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1893403.94it/s]
Sample 57 completed
Generating sample 58/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  59%|█████▊    | 10007/17071 [00:00<00:00, 100061.51it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 99707.65it/s] 

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1249602.32it/s]
Sample 58 completed
Generating sample 59/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13308/17071 [00:00<00:00, 133076.32it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133093.72it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1894556.23it/s]
Sample 59 completed
Generating sample 60/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  77%|███████▋  | 13134/17071 [00:00<00:00, 131333.55it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 131236.81it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1849485.03it/s]
Sample 60 completed
Generating sample 61/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13358/17071 [00:00<00:00, 133568.34it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133870.11it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1915334.87it/s]
Sample 61 completed
Generating sample 62/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13390/17071 [00:00<00:00, 133884.49it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133833.83it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2037533.47it/s]
Sample 62 completed
Generating sample 63/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  67%|██████▋   | 11438/17071 [00:00<00:00, 114372.20it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 118631.65it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1844577.47it/s]
Sample 63 completed
Generating sample 64/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  77%|███████▋  | 13229/17071 [00:00<00:00, 132281.30it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 128034.68it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2045975.64it/s]
Sample 64 completed
Generating sample 65/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13478/17071 [00:00<00:00, 134771.77it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134598.40it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2042706.94it/s]
Sample 65 completed
Generating sample 66/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13380/17071 [00:00<00:00, 133789.28it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 24301.45it/s] 

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1042924.86it/s]
Sample 66 completed
Generating sample 67/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  63%|██████▎   | 10673/17071 [00:00<00:00, 106721.45it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 104692.48it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 810249.79it/s]
Sample 67 completed
Generating sample 68/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13456/17071 [00:00<00:00, 134556.28it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135179.05it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1599306.76it/s]
Sample 68 completed
Generating sample 69/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13728/17071 [00:00<00:00, 137267.37it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136980.02it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1970415.64it/s]
Sample 69 completed
Generating sample 70/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  77%|███████▋  | 13210/17071 [00:00<00:00, 132092.57it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 132021.31it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1955402.23it/s]
Sample 70 completed
Generating sample 71/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13285/17071 [00:00<00:00, 132840.63it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 132749.74it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1892453.11it/s]
Sample 71 completed
Generating sample 72/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13796/17071 [00:00<00:00, 137947.96it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138048.31it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1890754.01it/s]
Sample 72 completed
Generating sample 73/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13360/17071 [00:00<00:00, 133589.62it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133479.54it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1974055.40it/s]
Sample 73 completed
Generating sample 74/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13639/17071 [00:00<00:00, 136385.25it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136151.72it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1899784.12it/s]
Sample 74 completed
Generating sample 75/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  60%|█████▉    | 10237/17071 [00:00<00:00, 102366.44it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 102227.51it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1208393.90it/s]
Sample 75 completed
Generating sample 76/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13777/17071 [00:00<00:00, 137766.52it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137364.49it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1894756.77it/s]
Sample 76 completed
Generating sample 77/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13590/17071 [00:00<00:00, 135894.62it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135618.16it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1800195.19it/s]
Sample 77 completed
Generating sample 78/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13678/17071 [00:00<00:00, 136769.70it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136449.58it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1849055.18it/s]
Sample 78 completed
Generating sample 79/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13509/17071 [00:00<00:00, 135078.21it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134899.92it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1849915.09it/s]
Sample 79 completed
Generating sample 80/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  69%|██████▊   | 11729/17071 [00:00<00:00, 117287.32it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 121800.17it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1859282.36it/s]
Sample 80 completed
Generating sample 81/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13322/17071 [00:00<00:00, 132627.24it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 129302.43it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1891053.63it/s]
Sample 81 completed
Generating sample 82/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13710/17071 [00:00<00:00, 137096.54it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137326.55it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1954975.11it/s]
Sample 82 completed
Generating sample 83/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  58%|█████▊    | 9975/17071 [00:00<00:00, 99746.05it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 99969.65it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1203660.75it/s]
Sample 83 completed
Generating sample 84/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  25%|██▌       | 4349/17071 [00:00<00:01, 8964.68it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 29349.07it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1890953.75it/s]
Sample 84 completed
Generating sample 85/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13811/17071 [00:00<00:00, 138098.94it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137678.01it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1891003.69it/s]
Sample 85 completed
Generating sample 86/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  77%|███████▋  | 13206/17071 [00:00<00:00, 132052.57it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 131653.54it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1818021.62it/s]
Sample 86 completed
Generating sample 87/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  76%|███████▌  | 12968/17071 [00:00<00:00, 129669.92it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 129973.01it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1934586.03it/s]
Sample 87 completed
Generating sample 88/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13562/17071 [00:00<00:00, 135615.28it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135676.49it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1933123.56it/s]
Sample 88 completed
Generating sample 89/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13615/17071 [00:00<00:00, 136140.07it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135774.52it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1839884.97it/s]
Sample 89 completed
Generating sample 90/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  77%|███████▋  | 13198/17071 [00:00<00:00, 131967.23it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 132033.24it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1913747.89it/s]
Sample 90 completed
Generating sample 91/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  51%|█████▏    | 8762/17071 [00:00<00:00, 87614.86it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 90751.99it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1312984.13it/s]
Sample 91 completed
Generating sample 92/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  77%|███████▋  | 13180/17071 [00:00<00:00, 131790.70it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 127785.62it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2028355.91it/s]
Sample 92 completed
Generating sample 93/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  76%|███████▌  | 12946/17071 [00:00<00:00, 129456.42it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 130161.56it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1891553.21it/s]
Sample 93 completed
Generating sample 94/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13305/17071 [00:00<00:00, 133037.76it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 132348.55it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1925171.10it/s]
Sample 94 completed
Generating sample 95/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13611/17071 [00:00<00:00, 136102.99it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136233.32it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1873831.19it/s]
Sample 95 completed
Generating sample 96/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  76%|███████▋  | 13018/17071 [00:00<00:00, 130165.85it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 129807.84it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1895007.51it/s]
Sample 96 completed
Generating sample 97/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13771/17071 [00:00<00:00, 137697.98it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137730.45it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1956631.24it/s]
Sample 97 completed
Generating sample 98/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  77%|███████▋  | 13080/17071 [00:00<00:00, 130784.22it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 131179.34it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1907883.60it/s]
Sample 98 completed
Generating sample 99/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13485/17071 [00:00<00:00, 134847.56it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134142.73it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1955081.88it/s]
Sample 99 completed
Generating sample 100/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  58%|█████▊    | 9905/17071 [00:00<00:00, 99041.59it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 22634.80it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1282481.88it/s]
Sample 100 completed
Generating sample 101/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13549/17071 [00:00<00:00, 135484.31it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135408.88it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1863637.78it/s]
Sample 101 completed
Generating sample 102/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13781/17071 [00:00<00:00, 137799.29it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137594.93it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2014998.69it/s]
Sample 102 completed
Generating sample 103/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13767/17071 [00:00<00:00, 137390.39it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137849.24it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1904230.30it/s]
Sample 103 completed
Generating sample 104/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▊  | 13410/17071 [00:00<00:00, 134087.66it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134137.96it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1982911.84it/s]
Sample 104 completed
Generating sample 105/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13592/17071 [00:00<00:00, 135913.00it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135732.05it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1725158.14it/s]
Sample 105 completed
Generating sample 106/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13479/17071 [00:00<00:00, 134779.85it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134758.75it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1963660.80it/s]
Sample 106 completed
Generating sample 107/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13388/17071 [00:00<00:00, 133876.62it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133653.96it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1905294.40it/s]
Sample 107 completed
Generating sample 108/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  51%|█████     | 8684/17071 [00:00<00:00, 86829.94it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 93807.43it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1025170.22it/s]
Sample 108 completed
Generating sample 109/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  49%|████▊     | 8282/17071 [00:00<00:00, 82809.02it/s]
Calculating metrics (sequential):  97%|█████████▋| 16620/17071 [00:00<00:00, 83136.88it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 82951.17it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 657209.13it/s]
Sample 109 completed
Generating sample 110/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13472/17071 [00:00<00:00, 134707.28it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 130983.04it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1983076.60it/s]
Sample 110 completed
Generating sample 111/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13550/17071 [00:00<00:00, 135495.61it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135238.03it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2008047.89it/s]
Sample 111 completed
Generating sample 112/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  77%|███████▋  | 13196/17071 [00:00<00:00, 131951.32it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 131696.64it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1935579.68it/s]
Sample 112 completed
Generating sample 113/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13463/17071 [00:00<00:00, 134622.10it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134518.24it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1917643.25it/s]
Sample 113 completed
Generating sample 114/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13634/17071 [00:00<00:00, 136333.95it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136244.21it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1985936.75it/s]
Sample 114 completed
Generating sample 115/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13611/17071 [00:00<00:00, 136100.72it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136094.01it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2007203.51it/s]
Sample 115 completed
Generating sample 116/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13837/17071 [00:00<00:00, 138360.57it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138181.25it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1933750.06it/s]
Sample 116 completed
Generating sample 117/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  59%|█████▉    | 10099/17071 [00:00<00:00, 100976.61it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 22319.93it/s] 

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1264319.88it/s]
Sample 117 completed
Generating sample 118/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13739/17071 [00:00<00:00, 137378.67it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137286.53it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2016303.78it/s]
Sample 118 completed
Generating sample 119/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13730/17071 [00:00<00:00, 137284.75it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137051.86it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1944304.66it/s]
Sample 119 completed
Generating sample 120/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13608/17071 [00:00<00:00, 136070.07it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135936.91it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1943987.93it/s]
Sample 120 completed
Generating sample 121/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  70%|██████▉   | 11879/17071 [00:00<00:00, 118784.73it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 118835.04it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1905902.99it/s]
Sample 121 completed
Generating sample 122/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13672/17071 [00:00<00:00, 136713.29it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136732.56it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1832398.30it/s]
Sample 122 completed
Generating sample 123/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13603/17071 [00:00<00:00, 136022.02it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135922.72it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2016928.55it/s]
Sample 123 completed
Generating sample 124/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13737/17071 [00:00<00:00, 137361.94it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136981.86it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1974273.13it/s]
Sample 124 completed
Generating sample 125/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13745/17071 [00:00<00:00, 137442.59it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137185.26it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1945678.36it/s]
Sample 125 completed
Generating sample 126/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13637/17071 [00:00<00:00, 136357.13it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136131.01it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1894205.39it/s]
Sample 126 completed
Generating sample 127/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▊  | 13422/17071 [00:00<00:00, 134207.65it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134122.38it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1830618.04it/s]
Sample 127 completed
Generating sample 128/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13659/17071 [00:00<00:00, 136581.66it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136595.88it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1910326.93it/s]
Sample 128 completed
Generating sample 129/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13748/17071 [00:00<00:00, 137471.28it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137710.32it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1863831.83it/s]
Sample 129 completed
Generating sample 130/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13860/17071 [00:00<00:00, 138594.85it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138171.12it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2049489.45it/s]
Sample 130 completed
Generating sample 131/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  70%|███████   | 12010/17071 [00:00<00:00, 120094.10it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 124237.34it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2054134.42it/s]
Sample 131 completed
Generating sample 132/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13518/17071 [00:00<00:00, 135167.56it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 131391.17it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2007034.72it/s]
Sample 132 completed
Generating sample 133/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13757/17071 [00:00<00:00, 137563.24it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137488.72it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1994233.61it/s]
Sample 133 completed
Generating sample 134/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  44%|████▎     | 7453/17071 [00:00<00:00, 15293.85it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 30399.44it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1917027.14it/s]
Sample 134 completed
Generating sample 135/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13342/17071 [00:00<00:00, 133414.08it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133696.63it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1894756.77it/s]
Sample 135 completed
Generating sample 136/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13678/17071 [00:00<00:00, 136772.30it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136611.78it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1895157.98it/s]
Sample 136 completed
Generating sample 137/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13250/17071 [00:00<00:00, 132488.44it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 131764.50it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1224178.28it/s]
Sample 137 completed
Generating sample 138/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  75%|███████▌  | 12812/17071 [00:00<00:00, 128106.38it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 128030.56it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1992735.06it/s]
Sample 138 completed
Generating sample 139/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13267/17071 [00:00<00:00, 132658.42it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 132524.68it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1919648.34it/s]
Sample 139 completed
Generating sample 140/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13365/17071 [00:00<00:00, 133641.52it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133769.07it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2067838.14it/s]
Sample 140 completed
Generating sample 141/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13378/17071 [00:00<00:00, 133768.33it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133785.81it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2100104.52it/s]
Sample 141 completed
Generating sample 142/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13340/17071 [00:00<00:00, 133391.54it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 132610.58it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1979020.55it/s]
Sample 142 completed
Generating sample 143/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13642/17071 [00:00<00:00, 136417.20it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136179.69it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1979129.96it/s]
Sample 143 completed
Generating sample 144/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13638/17071 [00:00<00:00, 136374.93it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136114.97it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1832023.22it/s]
Sample 144 completed
Generating sample 145/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13607/17071 [00:00<00:00, 136060.72it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135753.67it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1818113.95it/s]
Sample 145 completed
Generating sample 146/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  68%|██████▊   | 11544/17071 [00:00<00:00, 115435.98it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 117312.86it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1407500.61it/s]
Sample 146 completed
Generating sample 147/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13697/17071 [00:00<00:00, 136957.07it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137061.57it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1746194.61it/s]
Sample 147 completed
Generating sample 148/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  69%|██████▉   | 11808/17071 [00:00<00:00, 118075.89it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 122966.34it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1922741.31it/s]
Sample 148 completed
Generating sample 149/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13261/17071 [00:00<00:00, 132606.33it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 128706.72it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1960327.55it/s]
Sample 149 completed
Generating sample 150/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13732/17071 [00:00<00:00, 137314.57it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137001.77it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1971229.35it/s]
Sample 150 completed
Generating sample 151/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  23%|██▎       | 4007/17071 [00:00<00:01, 8631.56it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 30417.54it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1975580.49it/s]
Sample 151 completed
Generating sample 152/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  51%|█████▏    | 8752/17071 [00:00<00:00, 87511.32it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 88888.54it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 771478.97it/s]
Sample 152 completed
Generating sample 153/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13577/17071 [00:00<00:00, 135766.57it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135532.93it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1875107.07it/s]
Sample 153 completed
Generating sample 154/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13704/17071 [00:00<00:00, 137032.29it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136863.24it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1969331.74it/s]
Sample 154 completed
Generating sample 155/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13486/17071 [00:00<00:00, 134852.41it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134784.63it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1867623.86it/s]
Sample 155 completed
Generating sample 156/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13637/17071 [00:00<00:00, 136363.30it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136290.37it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1890853.87it/s]
Sample 156 completed
Generating sample 157/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  51%|█████     | 8700/17071 [00:00<00:00, 86983.28it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 85544.86it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1336811.55it/s]
Sample 157 completed
Generating sample 158/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  45%|████▌     | 7729/17071 [00:00<00:00, 77263.73it/s]
Calculating metrics (sequential):  92%|█████████▏| 15665/17071 [00:00<00:00, 78493.07it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 79988.03it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 869154.69it/s]
Sample 158 completed
Generating sample 159/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13363/17071 [00:00<00:00, 133621.84it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 129806.66it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1936364.86it/s]
Sample 159 completed
Generating sample 160/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13330/17071 [00:00<00:00, 133295.36it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133201.43it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1951990.50it/s]
Sample 160 completed
Generating sample 161/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13710/17071 [00:00<00:00, 137092.29it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136805.71it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1960918.10it/s]
Sample 161 completed
Generating sample 162/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13612/17071 [00:00<00:00, 136108.12it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135978.74it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1829963.03it/s]
Sample 162 completed
Generating sample 163/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13379/17071 [00:00<00:00, 133780.88it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133731.59it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1893403.94it/s]
Sample 163 completed
Generating sample 164/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13724/17071 [00:00<00:00, 137233.59it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136905.90it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1880425.55it/s]
Sample 164 completed
Generating sample 165/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13466/17071 [00:00<00:00, 134649.21it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134403.85it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1855235.62it/s]
Sample 165 completed
Generating sample 166/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13707/17071 [00:00<00:00, 137062.61it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136883.91it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1862183.71it/s]
Sample 166 completed
Generating sample 167/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13721/17071 [00:00<00:00, 137206.86it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 30816.02it/s] 

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1931663.30it/s]
Sample 167 completed
Generating sample 168/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13537/17071 [00:00<00:00, 135362.06it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135690.12it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1816914.42it/s]
Sample 168 completed
Generating sample 169/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  44%|████▍     | 7513/17071 [00:00<00:00, 75122.73it/s]
Calculating metrics (sequential):  88%|████████▊ | 15026/17071 [00:00<00:00, 74975.64it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 75043.75it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1179063.08it/s]
Sample 169 completed
Generating sample 170/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13360/17071 [00:00<00:00, 133594.71it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 129732.34it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1740718.25it/s]
Sample 170 completed
Generating sample 171/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  77%|███████▋  | 13146/17071 [00:00<00:00, 131453.86it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 131250.76it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1775949.69it/s]
Sample 171 completed
Generating sample 172/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13472/17071 [00:00<00:00, 134713.06it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135130.32it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1881216.04it/s]
Sample 172 completed
Generating sample 173/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13551/17071 [00:00<00:00, 135501.73it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135483.95it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1935632.01it/s]
Sample 173 completed
Generating sample 174/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13580/17071 [00:00<00:00, 135788.80it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135670.58it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1916257.56it/s]
Sample 174 completed
Generating sample 175/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  51%|█████     | 8722/17071 [00:00<00:00, 87215.92it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 85405.58it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1007485.17it/s]
Sample 175 completed
Generating sample 176/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  71%|███████   | 12131/17071 [00:00<00:00, 121229.76it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 110397.18it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1706654.04it/s]
Sample 176 completed
Generating sample 177/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▊  | 13408/17071 [00:00<00:00, 134067.34it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134007.91it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1869623.30it/s]
Sample 177 completed
Generating sample 178/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13626/17071 [00:00<00:00, 136256.23it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136661.58it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1892603.18it/s]
Sample 178 completed
Generating sample 179/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13532/17071 [00:00<00:00, 135315.29it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135855.15it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1848625.52it/s]
Sample 179 completed
Generating sample 180/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13474/17071 [00:00<00:00, 134731.13it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134781.08it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1968357.26it/s]
Sample 180 completed
Generating sample 181/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  51%|█████▏    | 8770/17071 [00:00<00:00, 87696.53it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 87909.17it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1080801.89it/s]
Sample 181 completed
Generating sample 182/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13627/17071 [00:00<00:00, 136259.41it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136074.35it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1890204.95it/s]
Sample 182 completed
Generating sample 183/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13399/17071 [00:00<00:00, 133986.61it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133899.40it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1923206.11it/s]
Sample 183 completed
Generating sample 184/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▊  | 13432/17071 [00:00<00:00, 134307.64it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 30344.50it/s] 

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1934533.76it/s]
Sample 184 completed
Generating sample 185/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  69%|██████▉   | 11827/17071 [00:00<00:00, 118264.47it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 122571.02it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1876974.95it/s]
Sample 185 completed
Generating sample 186/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  53%|█████▎    | 8990/17071 [00:00<00:00, 89897.09it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 86331.96it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1081307.88it/s]
Sample 186 completed
Generating sample 187/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13813/17071 [00:00<00:00, 138124.20it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137935.81it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1934011.23it/s]
Sample 187 completed
Generating sample 188/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13645/17071 [00:00<00:00, 136442.97it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136233.32it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1803005.73it/s]
Sample 188 completed
Generating sample 189/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13842/17071 [00:00<00:00, 138414.19it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138118.08it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1860586.85it/s]
Sample 189 completed
Generating sample 190/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13698/17071 [00:00<00:00, 136969.35it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137306.80it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1859765.29it/s]
Sample 190 completed
Generating sample 191/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13475/17071 [00:00<00:00, 134746.59it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134702.22it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1983680.94it/s]
Sample 191 completed
Generating sample 192/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  49%|████▉     | 8435/17071 [00:00<00:00, 84343.85it/s]
Calculating metrics (sequential):  99%|█████████▉| 16870/17071 [00:00<00:00, 83081.34it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 83143.53it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1023909.45it/s]
Sample 192 completed
Generating sample 193/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13773/17071 [00:00<00:00, 137717.65it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137500.34it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1865628.69it/s]
Sample 193 completed
Generating sample 194/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13724/17071 [00:00<00:00, 137236.86it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136894.64it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1860103.49it/s]
Sample 194 completed
Generating sample 195/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13539/17071 [00:00<00:00, 135386.58it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135298.60it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1771205.04it/s]
Sample 195 completed
Generating sample 196/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13555/17071 [00:00<00:00, 135538.50it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135484.46it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1848148.36it/s]
Sample 196 completed
Generating sample 197/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  49%|████▉     | 8325/17071 [00:00<00:00, 83243.33it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 86836.31it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1314671.68it/s]
Sample 197 completed
Generating sample 198/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  61%|██████    | 10392/17071 [00:00<00:00, 103910.68it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 111355.22it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1645091.53it/s]
Sample 198 completed
Generating sample 199/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13581/17071 [00:00<00:00, 135803.01it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136296.34it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1876974.95it/s]
Sample 199 completed
Generating sample 200/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13636/17071 [00:00<00:00, 136347.78it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136758.68it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1864802.68it/s]
Sample 200 completed
Generating sample 201/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13456/17071 [00:00<00:00, 134551.47it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134566.02it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1910123.08it/s]
Sample 201 completed
Generating sample 202/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  26%|██▌       | 4372/17071 [00:00<00:01, 10159.36it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 32611.74it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1909257.20it/s]
Sample 202 completed
Generating sample 203/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  60%|██████    | 10305/17071 [00:00<00:00, 103040.03it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 114223.44it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1769148.14it/s]
Sample 203 completed
Generating sample 204/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  62%|██████▏   | 10634/17071 [00:00<00:00, 106332.75it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 104970.13it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1061919.19it/s]
Sample 204 completed
Generating sample 205/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13829/17071 [00:00<00:00, 138284.53it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138019.04it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1912061.41it/s]
Sample 205 completed
Generating sample 206/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13502/17071 [00:00<00:00, 135013.69it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135552.43it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1938671.75it/s]
Sample 206 completed
Generating sample 207/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13640/17071 [00:00<00:00, 136387.77it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136101.51it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1878945.17it/s]
Sample 207 completed
Generating sample 208/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13754/17071 [00:00<00:00, 137532.92it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137404.55it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1869769.77it/s]
Sample 208 completed
Generating sample 209/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13755/17071 [00:00<00:00, 137544.56it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137026.68it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1836487.22it/s]
Sample 209 completed
Generating sample 210/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  61%|██████    | 10443/17071 [00:00<00:00, 104423.63it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 106673.98it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1054832.33it/s]
Sample 210 completed
Generating sample 211/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13621/17071 [00:00<00:00, 136201.69it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136462.59it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1880030.55it/s]
Sample 211 completed
Generating sample 212/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13732/17071 [00:00<00:00, 137311.95it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137190.78it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1911397.85it/s]
Sample 212 completed
Generating sample 213/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13771/17071 [00:00<00:00, 137700.94it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137592.03it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1929373.06it/s]
Sample 213 completed
Generating sample 214/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13589/17071 [00:00<00:00, 135884.30it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135725.62it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1869818.60it/s]
Sample 214 completed
Generating sample 215/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  49%|████▉     | 8443/17071 [00:00<00:00, 84425.45it/s]
Calculating metrics (sequential):  99%|█████████▉| 16925/17071 [00:00<00:00, 84655.44it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 84568.13it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1065871.20it/s]
Sample 215 completed
Generating sample 216/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13770/17071 [00:00<00:00, 137688.64it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137389.79it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1926206.92it/s]
Sample 216 completed
Generating sample 217/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13755/17071 [00:00<00:00, 137538.98it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137435.68it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1871089.02it/s]
Sample 217 completed
Generating sample 218/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  62%|██████▏   | 10589/17071 [00:00<00:00, 27620.74it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 39600.05it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1949917.31it/s]
Sample 218 completed
Generating sample 219/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13611/17071 [00:00<00:00, 135618.65it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136044.36it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1888709.14it/s]
Sample 219 completed
Generating sample 220/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13737/17071 [00:00<00:00, 137357.36it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137198.14it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1901550.00it/s]
Sample 220 completed
Generating sample 221/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  62%|██████▏   | 10664/17071 [00:00<00:00, 106624.85it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 103812.09it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1358291.22it/s]
Sample 221 completed
Generating sample 222/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  77%|███████▋  | 13220/17071 [00:00<00:00, 132190.99it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133194.99it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1880079.92it/s]
Sample 222 completed
Generating sample 223/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13616/17071 [00:00<00:00, 136156.56it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136553.94it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1811490.25it/s]
Sample 223 completed
Generating sample 224/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13694/17071 [00:00<00:00, 136928.38it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136726.82it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1965547.48it/s]
Sample 224 completed
Generating sample 225/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13753/17071 [00:00<00:00, 137525.87it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137368.97it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1929269.09it/s]
Sample 225 completed
Generating sample 226/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  46%|████▌     | 7891/17071 [00:00<00:00, 78901.05it/s]
Calculating metrics (sequential):  98%|█████████▊| 16709/17071 [00:00<00:00, 84357.75it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 83632.70it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 883875.22it/s]
Sample 226 completed
Generating sample 227/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████▏ | 13876/17071 [00:00<00:00, 138749.22it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138512.72it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1908544.72it/s]
Sample 227 completed
Generating sample 228/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13641/17071 [00:00<00:00, 136400.70it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136248.62it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1837995.78it/s]
Sample 228 completed
Generating sample 229/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▊  | 13424/17071 [00:00<00:00, 134230.21it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134044.54it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1854274.71it/s]
Sample 229 completed
Generating sample 230/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13510/17071 [00:00<00:00, 135093.36it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135414.25it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1821953.83it/s]
Sample 230 completed
Generating sample 231/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13683/17071 [00:00<00:00, 136818.71it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 113195.59it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1331813.62it/s]
Sample 231 completed
Generating sample 232/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  49%|████▉     | 8370/17071 [00:00<00:00, 83688.91it/s]
Calculating metrics (sequential):  98%|█████████▊| 16739/17071 [00:00<00:00, 83131.86it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 83103.39it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 968064.62it/s]
Sample 232 completed
Generating sample 233/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13840/17071 [00:00<00:00, 138393.53it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138328.08it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1915488.59it/s]
Sample 233 completed
Generating sample 234/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13745/17071 [00:00<00:00, 137441.94it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137191.83it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1948537.63it/s]
Sample 234 completed
Generating sample 235/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  70%|██████▉   | 11942/17071 [00:00<00:00, 30831.95it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 40195.77it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1966519.19it/s]
Sample 235 completed
Generating sample 236/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  82%|████████▏ | 13963/17071 [00:00<00:00, 139617.82it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 139301.21it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1917232.46it/s]
Sample 236 completed
Generating sample 237/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  50%|████▉     | 8523/17071 [00:00<00:00, 85222.77it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 87084.61it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1031105.02it/s]
Sample 237 completed
Generating sample 238/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▊  | 13403/17071 [00:00<00:00, 134025.97it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134056.59it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1892453.11it/s]
Sample 238 completed
Generating sample 239/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13472/17071 [00:00<00:00, 134715.31it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134680.17it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1836345.92it/s]
Sample 239 completed
Generating sample 240/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  82%|████████▏ | 13918/17071 [00:00<00:00, 139167.19it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138748.65it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1829682.46it/s]
Sample 240 completed
Generating sample 241/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13475/17071 [00:00<00:00, 134742.42it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134248.87it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1818160.12it/s]
Sample 241 completed
Generating sample 242/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  50%|█████     | 8599/17071 [00:00<00:00, 85986.60it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 87898.59it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 782840.75it/s]
Sample 242 completed
Generating sample 243/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13548/17071 [00:00<00:00, 135473.02it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135527.80it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1885228.11it/s]
Sample 243 completed
Generating sample 244/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13740/17071 [00:00<00:00, 137393.25it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137188.15it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1856582.57it/s]
Sample 244 completed
Generating sample 245/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13754/17071 [00:00<00:00, 137534.88it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137638.84it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1865823.16it/s]
Sample 245 completed
Generating sample 246/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13760/17071 [00:00<00:00, 137592.59it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137279.94it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1855187.55it/s]
Sample 246 completed
Generating sample 247/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13834/17071 [00:00<00:00, 138331.56it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138113.55it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1828234.18it/s]
Sample 247 completed
Generating sample 248/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  51%|█████▏    | 8764/17071 [00:00<00:00, 87610.01it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 85699.16it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 924121.88it/s]
Sample 248 completed
Generating sample 249/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13329/17071 [00:00<00:00, 133146.01it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133663.19it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1824925.80it/s]
Sample 249 completed
Generating sample 250/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13748/17071 [00:00<00:00, 137466.69it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137837.03it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1791457.26it/s]
Sample 250 completed
Generating sample 251/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13727/17071 [00:00<00:00, 137263.26it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137105.14it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1981156.13it/s]
Sample 251 completed
Generating sample 252/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  74%|███████▍  | 12621/17071 [00:00<00:00, 31959.87it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 39897.70it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1999189.27it/s]
Sample 252 completed
Generating sample 253/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  51%|█████     | 8705/17071 [00:00<00:00, 87042.61it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 87337.21it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1039880.38it/s]
Sample 253 completed
Generating sample 254/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13777/17071 [00:00<00:00, 137756.99it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137307.06it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1849341.73it/s]
Sample 254 completed
Generating sample 255/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13514/17071 [00:00<00:00, 135133.36it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135041.89it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1913696.74it/s]
Sample 255 completed
Generating sample 256/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13519/17071 [00:00<00:00, 135173.05it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134902.20it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1855187.55it/s]
Sample 256 completed
Generating sample 257/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13631/17071 [00:00<00:00, 136299.73it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136092.72it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1824925.80it/s]
Sample 257 completed
Generating sample 258/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13461/17071 [00:00<00:00, 134602.43it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134714.89it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1844862.63it/s]
Sample 258 completed
Generating sample 259/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  63%|██████▎   | 10810/17071 [00:00<00:00, 108091.86it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 107016.77it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1301977.74it/s]
Sample 259 completed
Generating sample 260/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  76%|███████▌  | 12915/17071 [00:00<00:00, 128701.20it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 130713.79it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1972369.67it/s]
Sample 260 completed
Generating sample 261/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13496/17071 [00:00<00:00, 134948.87it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134931.95it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1873487.98it/s]
Sample 261 completed
Generating sample 262/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13614/17071 [00:00<00:00, 136132.99it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136168.03it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1845908.98it/s]
Sample 262 completed
Generating sample 263/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13243/17071 [00:00<00:00, 132420.02it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 132267.87it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1878698.67it/s]
Sample 263 completed
Generating sample 264/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13627/17071 [00:00<00:00, 136257.79it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136160.00it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1883244.70it/s]
Sample 264 completed
Generating sample 265/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  47%|████▋     | 8067/17071 [00:00<00:00, 80664.31it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 92817.70it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1732504.93it/s]
Sample 265 completed
Generating sample 266/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13374/17071 [00:00<00:00, 133728.33it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133497.46it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1889456.75it/s]
Sample 266 completed
Generating sample 267/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▊  | 13438/17071 [00:00<00:00, 134366.67it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134197.04it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1840641.74it/s]
Sample 267 completed
Generating sample 268/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13684/17071 [00:00<00:00, 136829.04it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137378.98it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1938619.26it/s]
Sample 268 completed
Generating sample 269/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  56%|█████▌    | 9531/17071 [00:00<00:00, 25662.24it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 39821.17it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1854274.71it/s]
Sample 269 completed
Generating sample 270/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  55%|█████▌    | 9463/17071 [00:00<00:00, 94625.13it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 109642.20it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2066048.12it/s]
Sample 270 completed
Generating sample 271/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13562/17071 [00:00<00:00, 135616.90it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135286.07it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1797212.94it/s]
Sample 271 completed
Generating sample 272/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13801/17071 [00:00<00:00, 138003.22it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137922.79it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1840452.49it/s]
Sample 272 completed
Generating sample 273/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13697/17071 [00:00<00:00, 136964.91it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136756.33it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1918568.16it/s]
Sample 273 completed
Generating sample 274/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13743/17071 [00:00<00:00, 137417.68it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137208.39it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1911397.85it/s]
Sample 274 completed
Generating sample 275/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  45%|████▌     | 7738/17071 [00:00<00:00, 77333.98it/s]
Calculating metrics (sequential):  92%|█████████▏| 15734/17071 [00:00<00:00, 78873.39it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 79179.38it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1181885.11it/s]
Sample 275 completed
Generating sample 276/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▊  | 13405/17071 [00:00<00:00, 134037.35it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133693.39it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1897719.68it/s]
Sample 276 completed
Generating sample 277/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13721/17071 [00:00<00:00, 137204.24it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136833.69it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1916462.72it/s]
Sample 277 completed
Generating sample 278/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13379/17071 [00:00<00:00, 133785.66it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134161.33it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1840783.70it/s]
Sample 278 completed
Generating sample 279/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13566/17071 [00:00<00:00, 135651.40it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135454.47it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1886271.07it/s]
Sample 279 completed
Generating sample 280/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13666/17071 [00:00<00:00, 136648.40it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136330.33it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1862280.58it/s]
Sample 280 completed
Generating sample 281/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  77%|███████▋  | 13104/17071 [00:00<00:00, 131034.19it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 132272.27it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2132948.96it/s]
Sample 281 completed
Generating sample 282/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13740/17071 [00:00<00:00, 137397.51it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136907.21it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1896513.31it/s]
Sample 282 completed
Generating sample 283/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13610/17071 [00:00<00:00, 136093.64it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135835.82it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1856053.18it/s]
Sample 283 completed
Generating sample 284/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13759/17071 [00:00<00:00, 137585.54it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137172.64it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1874370.77it/s]
Sample 284 completed
Generating sample 285/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13652/17071 [00:00<00:00, 136514.27it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136118.33it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1822927.94it/s]
Sample 285 completed
Generating sample 286/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  36%|███▌      | 6091/17071 [00:00<00:00, 12073.32it/s]
Calculating metrics (sequential):  98%|█████████▊| 16762/17071 [00:00<00:00, 32957.03it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 28088.55it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1364789.73it/s]
Sample 286 completed
Generating sample 287/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13456/17071 [00:00<00:00, 134548.58it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134705.26it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1881117.19it/s]
Sample 287 completed
Generating sample 288/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13748/17071 [00:00<00:00, 137474.23it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136434.76it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1857786.87it/s]
Sample 288 completed
Generating sample 289/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13464/17071 [00:00<00:00, 134636.92it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134381.40it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1817098.86it/s]
Sample 289 completed
Generating sample 290/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▊  | 13429/17071 [00:00<00:00, 134282.12it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134613.07it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1856390.03it/s]
Sample 290 completed
Generating sample 291/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  77%|███████▋  | 13150/17071 [00:00<00:00, 131491.35it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 130994.31it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1122923.38it/s]
Sample 291 completed
Generating sample 292/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  50%|████▉     | 8531/17071 [00:00<00:00, 85302.76it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 94545.32it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 969782.26it/s]
Sample 292 completed
Generating sample 293/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13863/17071 [00:00<00:00, 138623.85it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138321.13it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1883294.24it/s]
Sample 293 completed
Generating sample 294/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  77%|███████▋  | 13068/17071 [00:00<00:00, 130669.22it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 131418.18it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1926673.40it/s]
Sample 294 completed
Generating sample 295/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13290/17071 [00:00<00:00, 132888.09it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 131658.63it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1887514.20it/s]
Sample 295 completed
Generating sample 296/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▊  | 13438/17071 [00:00<00:00, 134369.56it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134882.38it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1814796.06it/s]
Sample 296 completed
Generating sample 297/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  74%|███████▍  | 12670/17071 [00:00<00:00, 126691.06it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 108601.33it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 972918.49it/s]
Sample 297 completed
Generating sample 298/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  68%|██████▊   | 11615/17071 [00:00<00:00, 116141.80it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 112416.10it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1025551.99it/s]
Sample 298 completed
Generating sample 299/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  76%|███████▋  | 13054/17071 [00:00<00:00, 130530.79it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 131663.95it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1918876.66it/s]
Sample 299 completed
Generating sample 300/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  73%|███████▎  | 12542/17071 [00:00<00:00, 125412.05it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 125199.05it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1947001.05it/s]
Sample 300 completed
Generating sample 301/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13596/17071 [00:00<00:00, 135956.89it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135770.91it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1888310.66it/s]
Sample 301 completed
Generating sample 302/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13729/17071 [00:00<00:00, 137280.64it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136489.38it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1875254.40it/s]
Sample 302 completed
Generating sample 303/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  19%|█▉        | 3305/17071 [00:00<00:02, 6879.63it/s]
Calculating metrics (sequential):  81%|████████  | 13825/17071 [00:00<00:00, 29415.03it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 28021.14it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1281861.96it/s]
Sample 303 completed
Generating sample 304/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13776/17071 [00:00<00:00, 137752.58it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137560.83it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1828140.83it/s]
Sample 304 completed
Generating sample 305/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13815/17071 [00:00<00:00, 138141.90it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138090.11it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1929113.15it/s]
Sample 305 completed
Generating sample 306/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13473/17071 [00:00<00:00, 134715.68it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133895.39it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1911601.98it/s]
Sample 306 completed
Generating sample 307/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13445/17071 [00:00<00:00, 134438.27it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134923.30it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1828981.39it/s]
Sample 307 completed
Generating sample 308/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  46%|████▌     | 7878/17071 [00:00<00:00, 78772.75it/s]
Calculating metrics (sequential):  98%|█████████▊| 16672/17071 [00:00<00:00, 84161.91it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 83472.22it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1299614.54it/s]
Sample 308 completed
Generating sample 309/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13499/17071 [00:00<00:00, 134982.40it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135201.77it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1839790.42it/s]
Sample 309 completed
Generating sample 310/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13701/17071 [00:00<00:00, 137000.01it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136950.68it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1980936.88it/s]
Sample 310 completed
Generating sample 311/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13723/17071 [00:00<00:00, 137225.88it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137140.59it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1910377.90it/s]
Sample 311 completed
Generating sample 312/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13653/17071 [00:00<00:00, 136523.95it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136596.92it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1900338.75it/s]
Sample 312 completed
Generating sample 313/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  50%|████▉     | 8501/17071 [00:00<00:00, 85003.80it/s]
Calculating metrics (sequential): 100%|█████████▉| 17002/17071 [00:00<00:00, 83657.11it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 83726.48it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1267318.55it/s]
Sample 313 completed
Generating sample 314/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13782/17071 [00:00<00:00, 137810.60it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137533.35it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1898323.44it/s]
Sample 314 completed
Generating sample 315/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13716/17071 [00:00<00:00, 137151.30it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137053.17it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1862086.85it/s]
Sample 315 completed
Generating sample 316/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13737/17071 [00:00<00:00, 137367.84it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137237.84it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1848196.06it/s]
Sample 316 completed
Generating sample 317/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13672/17071 [00:00<00:00, 136557.34it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136837.87it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1922379.95it/s]
Sample 317 completed
Generating sample 318/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13309/17071 [00:00<00:00, 133086.95it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133030.67it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1822742.31it/s]
Sample 318 completed
Generating sample 319/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▊  | 13427/17071 [00:00<00:00, 134262.77it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134758.75it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1752863.39it/s]
Sample 319 completed
Generating sample 320/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  27%|██▋       | 4685/17071 [00:00<00:00, 14024.26it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 40111.84it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1916308.84it/s]
Sample 320 completed
Generating sample 321/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13539/17071 [00:00<00:00, 135381.74it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135436.54it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1907070.54it/s]
Sample 321 completed
Generating sample 322/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13623/17071 [00:00<00:00, 136225.26it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136039.97it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1797980.15it/s]
Sample 322 completed
Generating sample 323/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13533/17071 [00:00<00:00, 135320.13it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135162.72it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1951086.26it/s]
Sample 323 completed
Generating sample 324/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  61%|██████    | 10417/17071 [00:00<00:00, 104139.31it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 104422.23it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1167356.26it/s]
Sample 324 completed
Generating sample 325/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13671/17071 [00:00<00:00, 136703.61it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136461.29it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1806690.81it/s]
Sample 325 completed
Generating sample 326/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13253/17071 [00:00<00:00, 132520.65it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 132280.33it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1859861.90it/s]
Sample 326 completed
Generating sample 327/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13566/17071 [00:00<00:00, 135648.49it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135589.14it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1781207.11it/s]
Sample 327 completed
Generating sample 328/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13727/17071 [00:00<00:00, 137259.66it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137131.13it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1953534.97it/s]
Sample 328 completed
Generating sample 329/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  46%|████▌     | 7808/17071 [00:00<00:00, 78068.35it/s]
Calculating metrics (sequential):  94%|█████████▍| 16017/17071 [00:00<00:00, 80431.11it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 79334.84it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1130440.39it/s]
Sample 329 completed
Generating sample 330/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13315/17071 [00:00<00:00, 133141.24it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 132973.10it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1837005.51it/s]
Sample 330 completed
Generating sample 331/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13515/17071 [00:00<00:00, 135146.58it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134861.55it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1633904.51it/s]
Sample 331 completed
Generating sample 332/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13511/17071 [00:00<00:00, 135102.08it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134922.54it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1871578.11it/s]
Sample 332 completed
Generating sample 333/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13715/17071 [00:00<00:00, 137142.94it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136968.49it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1859234.08it/s]
Sample 333 completed
Generating sample 334/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  42%|████▏     | 7249/17071 [00:00<00:00, 72468.99it/s]
Calculating metrics (sequential):  90%|████████▉ | 15363/17071 [00:00<00:00, 77565.43it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 78177.49it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 734609.96it/s]
Sample 334 completed
Generating sample 335/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13598/17071 [00:00<00:00, 135972.03it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 131030.50it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1504253.53it/s]
Sample 335 completed
Generating sample 336/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13695/17071 [00:00<00:00, 136367.83it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 39642.52it/s] 

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1935527.36it/s]
Sample 336 completed
Generating sample 337/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13566/17071 [00:00<00:00, 135655.60it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135375.85it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1869916.26it/s]
Sample 337 completed
Generating sample 338/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13721/17071 [00:00<00:00, 137206.53it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136976.35it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1854082.64it/s]
Sample 338 completed
Generating sample 339/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  75%|███████▌  | 12879/17071 [00:00<00:00, 128779.07it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 124753.40it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 460557.06it/s]
Sample 339 completed
Generating sample 340/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  61%|██████    | 10389/17071 [00:00<00:00, 103881.68it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 104810.48it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1105072.52it/s]
Sample 340 completed
Generating sample 341/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13283/17071 [00:00<00:00, 132821.26it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 129370.89it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1929581.04it/s]
Sample 341 completed
Generating sample 342/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13728/17071 [00:00<00:00, 137273.26it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137289.16it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1921657.64it/s]
Sample 342 completed
Generating sample 343/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13596/17071 [00:00<00:00, 135949.43it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135796.92it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1854322.73it/s]
Sample 343 completed
Generating sample 344/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13644/17071 [00:00<00:00, 136430.05it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136274.29it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1849915.09it/s]
Sample 344 completed
Generating sample 345/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  45%|████▌     | 7691/17071 [00:00<00:00, 76903.29it/s]
Calculating metrics (sequential):  92%|█████████▏| 15654/17071 [00:00<00:00, 78503.15it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 79034.73it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1171520.07it/s]
Sample 345 completed
Generating sample 346/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13634/17071 [00:00<00:00, 136334.28it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136745.62it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1843864.95it/s]
Sample 346 completed
Generating sample 347/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13452/17071 [00:00<00:00, 134516.92it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134936.02it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1838750.99it/s]
Sample 347 completed
Generating sample 348/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13664/17071 [00:00<00:00, 136634.59it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136928.68it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1859861.90it/s]
Sample 348 completed
Generating sample 349/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13657/17071 [00:00<00:00, 136562.97it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136436.06it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1951086.26it/s]
Sample 349 completed
Generating sample 350/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  47%|████▋     | 7979/17071 [00:00<00:00, 79785.32it/s]
Calculating metrics (sequential):  96%|█████████▌| 16391/17071 [00:00<00:00, 82332.92it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 82084.56it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1108785.98it/s]
Sample 350 completed
Generating sample 351/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  69%|██████▉   | 11779/17071 [00:00<00:00, 117785.34it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 121748.81it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1878255.12it/s]
Sample 351 completed
Generating sample 352/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13508/17071 [00:00<00:00, 135072.40it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135019.99it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1869574.48it/s]
Sample 352 completed
Generating sample 353/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  68%|██████▊   | 11618/17071 [00:00<00:00, 21789.90it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 29777.94it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1841020.35it/s]
Sample 353 completed
Generating sample 354/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13517/17071 [00:00<00:00, 135157.24it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134943.90it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1866844.75it/s]
Sample 354 completed
Generating sample 355/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  72%|███████▏  | 12218/17071 [00:00<00:00, 122163.51it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 103918.46it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 999873.81it/s]
Sample 355 completed
Generating sample 356/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  63%|██████▎   | 10827/17071 [00:00<00:00, 108258.23it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 106898.86it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1345376.99it/s]
Sample 356 completed
Generating sample 357/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13456/17071 [00:00<00:00, 134555.32it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134586.76it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1844387.41it/s]
Sample 357 completed
Generating sample 358/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▊  | 13436/17071 [00:00<00:00, 134354.04it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134231.00it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1763744.30it/s]
Sample 358 completed
Generating sample 359/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13529/17071 [00:00<00:00, 135278.84it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135569.37it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1829261.75it/s]
Sample 359 completed
Generating sample 360/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13558/17071 [00:00<00:00, 135570.11it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135643.59it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1806736.40it/s]
Sample 360 completed
Generating sample 361/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  62%|██████▏   | 10625/17071 [00:00<00:00, 106241.24it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 105489.14it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1051409.16it/s]
Sample 361 completed
Generating sample 362/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  70%|██████▉   | 11918/17071 [00:00<00:00, 119176.99it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 118527.37it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1896211.96it/s]
Sample 362 completed
Generating sample 363/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13289/17071 [00:00<00:00, 132878.40it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 132441.33it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1856967.78it/s]
Sample 363 completed
Generating sample 364/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  76%|███████▋  | 13029/17071 [00:00<00:00, 130286.40it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 130207.72it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1799923.67it/s]
Sample 364 completed
Generating sample 365/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13576/17071 [00:00<00:00, 135752.36it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135696.29it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1841541.20it/s]
Sample 365 completed
Generating sample 366/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13302/17071 [00:00<00:00, 133014.10it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133867.36it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1872606.01it/s]
Sample 366 completed
Generating sample 367/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13593/17071 [00:00<00:00, 135920.73it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135812.63it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1897920.89it/s]
Sample 367 completed
Generating sample 368/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13829/17071 [00:00<00:00, 138283.54it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137921.73it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1862668.15it/s]
Sample 368 completed
Generating sample 369/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13720/17071 [00:00<00:00, 137189.99it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137471.03it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1814014.43it/s]
Sample 369 completed
Generating sample 370/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  56%|█████▌    | 9526/17071 [00:00<00:00, 19216.87it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 30875.46it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1846146.96it/s]
Sample 370 completed
Generating sample 371/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13580/17071 [00:00<00:00, 135789.12it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135493.69it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1876630.59it/s]
Sample 371 completed
Generating sample 372/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  51%|█████     | 8717/17071 [00:00<00:00, 87165.30it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 82563.40it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1041847.41it/s]
Sample 372 completed
Generating sample 373/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13653/17071 [00:00<00:00, 136521.02it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136154.31it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1835828.00it/s]
Sample 373 completed
Generating sample 374/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13603/17071 [00:00<00:00, 136018.13it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135897.18it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1921606.06it/s]
Sample 374 completed
Generating sample 375/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  77%|███████▋  | 13172/17071 [00:00<00:00, 131711.96it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 131666.13it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1919288.15it/s]
Sample 375 completed
Generating sample 376/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13591/17071 [00:00<00:00, 135899.44it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135688.32it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1813968.47it/s]
Sample 376 completed
Generating sample 377/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13718/17071 [00:00<00:00, 137173.92it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134157.56it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1832679.71it/s]
Sample 377 completed
Generating sample 378/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13531/17071 [00:00<00:00, 135297.23it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135029.66it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1911499.91it/s]
Sample 378 completed
Generating sample 379/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  69%|██████▉   | 11752/17071 [00:00<00:00, 117512.83it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 117800.97it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1836393.01it/s]
Sample 379 completed
Generating sample 380/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13539/17071 [00:00<00:00, 135383.35it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135719.70it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1837995.78it/s]
Sample 380 completed
Generating sample 381/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13483/17071 [00:00<00:00, 134819.84it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134642.44it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1944727.13it/s]
Sample 381 completed
Generating sample 382/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13699/17071 [00:00<00:00, 136986.86it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136712.72it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1936050.71it/s]
Sample 382 completed
Generating sample 383/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  46%|████▋     | 7918/17071 [00:00<00:00, 79172.53it/s]
Calculating metrics (sequential):  94%|█████████▍| 16046/17071 [00:00<00:00, 80407.70it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 80573.46it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1277083.50it/s]
Sample 383 completed
Generating sample 384/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13587/17071 [00:00<00:00, 135864.30it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135642.31it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1878008.80it/s]
Sample 384 completed
Generating sample 385/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13488/17071 [00:00<00:00, 134869.52it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134568.04it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1851780.99it/s]
Sample 385 completed
Generating sample 386/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13685/17071 [00:00<00:00, 136845.89it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136630.02it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2085545.95it/s]
Sample 386 completed
Generating sample 387/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  16%|█▌        | 2690/17071 [00:00<00:02, 5956.10it/s]
Calculating metrics (sequential):  93%|█████████▎| 15885/17071 [00:00<00:00, 36232.27it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 30453.19it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1840689.06it/s]
Sample 387 completed
Generating sample 388/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13299/17071 [00:00<00:00, 132974.59it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 132866.75it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1713597.64it/s]
Sample 388 completed
Generating sample 389/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  66%|██████▌   | 11304/17071 [00:00<00:00, 113031.75it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 116675.90it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1988639.46it/s]
Sample 389 completed
Generating sample 390/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  77%|███████▋  | 13196/17071 [00:00<00:00, 131957.29it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 128170.13it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1809475.96it/s]
Sample 390 completed
Generating sample 391/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13708/17071 [00:00<00:00, 137077.19it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136906.95it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1901903.57it/s]
Sample 391 completed
Generating sample 392/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▊  | 13427/17071 [00:00<00:00, 134262.13it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134118.36it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1875549.13it/s]
Sample 392 completed
Generating sample 393/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13679/17071 [00:00<00:00, 136785.24it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137225.48it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1877910.29it/s]
Sample 393 completed
Generating sample 394/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  51%|█████     | 8621/17071 [00:00<00:00, 86196.52it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 83118.53it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 948005.56it/s]
Sample 394 completed
Generating sample 395/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13583/17071 [00:00<00:00, 135819.12it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135803.88it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1955669.28it/s]
Sample 395 completed
Generating sample 396/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13281/17071 [00:00<00:00, 132802.84it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 132636.62it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1821861.11it/s]
Sample 396 completed
Generating sample 397/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13737/17071 [00:00<00:00, 137366.86it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137184.99it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1863055.88it/s]
Sample 397 completed
Generating sample 398/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13666/17071 [00:00<00:00, 136652.64it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136364.09it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1807694.30it/s]
Sample 398 completed
Generating sample 399/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  48%|████▊     | 8169/17071 [00:00<00:00, 81682.87it/s]
Calculating metrics (sequential):  96%|█████████▋| 16439/17071 [00:00<00:00, 82276.02it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 82820.78it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 754790.79it/s]
Sample 399 completed
Generating sample 400/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  68%|██████▊   | 11535/17071 [00:00<00:00, 115334.16it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 114327.95it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1601918.78it/s]
Sample 400 completed
Generating sample 401/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13674/17071 [00:00<00:00, 136728.72it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137163.18it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1882898.04it/s]
Sample 401 completed
Generating sample 402/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13654/17071 [00:00<00:00, 136531.67it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136888.62it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1886320.76it/s]
Sample 402 completed
Generating sample 403/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13692/17071 [00:00<00:00, 136909.03it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136809.11it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1953055.39it/s]
Sample 403 completed
Generating sample 404/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  26%|██▌       | 4366/17071 [00:00<00:01, 9091.38it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 29579.63it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1926466.05it/s]
Sample 404 completed
Generating sample 405/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  52%|█████▏    | 8938/17071 [00:00<00:00, 89374.76it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 97542.62it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1613942.92it/s]
Sample 405 completed
Generating sample 406/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13680/17071 [00:00<00:00, 136788.72it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136704.89it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1826042.78it/s]
Sample 406 completed
Generating sample 407/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13617/17071 [00:00<00:00, 136162.99it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136672.79it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1855331.77it/s]
Sample 407 completed
Generating sample 408/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13603/17071 [00:00<00:00, 136024.94it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135982.61it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1938934.24it/s]
Sample 408 completed
Generating sample 409/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13602/17071 [00:00<00:00, 136013.00it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135785.59it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1872801.94it/s]
Sample 409 completed
Generating sample 410/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  62%|██████▏   | 10518/17071 [00:00<00:00, 105172.08it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 107186.75it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1009217.64it/s]
Sample 410 completed
Generating sample 411/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  71%|███████   | 12158/17071 [00:00<00:00, 121576.35it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 125308.17it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1797167.83it/s]
Sample 411 completed
Generating sample 412/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13645/17071 [00:00<00:00, 136440.70it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136686.62it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1794735.27it/s]
Sample 412 completed
Generating sample 413/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13284/17071 [00:00<00:00, 132834.43it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 132458.73it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1868354.87it/s]
Sample 413 completed
Generating sample 414/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13579/17071 [00:00<00:00, 135782.68it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135612.51it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1835922.14it/s]
Sample 414 completed
Generating sample 415/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  73%|███████▎  | 12500/17071 [00:00<00:00, 124983.13it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 119315.05it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1342048.35it/s]
Sample 415 completed
Generating sample 416/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  70%|██████▉   | 11938/17071 [00:00<00:00, 119368.73it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 119690.22it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2121887.26it/s]
Sample 416 completed
Generating sample 417/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13791/17071 [00:00<00:00, 137906.84it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137547.62it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1822000.19it/s]
Sample 417 completed
Generating sample 418/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13644/17071 [00:00<00:00, 136429.40it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136114.97it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1828561.01it/s]
Sample 418 completed
Generating sample 419/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13719/17071 [00:00<00:00, 137180.32it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136980.28it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1882898.04it/s]
Sample 419 completed
Generating sample 420/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13723/17071 [00:00<00:00, 137222.93it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 30798.74it/s] 

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1827580.88it/s]
Sample 420 completed
Generating sample 421/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13521/17071 [00:00<00:00, 135204.33it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135635.37it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1877861.04it/s]
Sample 421 completed
Generating sample 422/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  60%|██████    | 10317/17071 [00:00<00:00, 103161.24it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 104549.70it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1070124.55it/s]
Sample 422 completed
Generating sample 423/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13604/17071 [00:00<00:00, 136031.37it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135440.12it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1818206.29it/s]
Sample 423 completed
Generating sample 424/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  77%|███████▋  | 13220/17071 [00:00<00:00, 132196.97it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 132664.15it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1782581.81it/s]
Sample 424 completed
Generating sample 425/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  77%|███████▋  | 13219/17071 [00:00<00:00, 132186.66it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 132430.80it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1837807.07it/s]
Sample 425 completed
Generating sample 426/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13814/17071 [00:00<00:00, 138132.23it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137670.07it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1901348.02it/s]
Sample 426 completed
Generating sample 427/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  63%|██████▎   | 10697/17071 [00:00<00:00, 106954.29it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 105722.78it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1373349.77it/s]
Sample 427 completed
Generating sample 428/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  69%|██████▊   | 11736/17071 [00:00<00:00, 117353.12it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 121787.54it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1817191.10it/s]
Sample 428 completed
Generating sample 429/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13345/17071 [00:00<00:00, 133440.26it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 129485.99it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1823438.60it/s]
Sample 429 completed
Generating sample 430/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13362/17071 [00:00<00:00, 133609.93it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133616.79it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1775377.23it/s]
Sample 430 completed
Generating sample 431/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13247/17071 [00:00<00:00, 132462.86it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 132344.39it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1899431.33it/s]
Sample 431 completed
Generating sample 432/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13608/17071 [00:00<00:00, 136072.02it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135828.09it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1872508.07it/s]
Sample 432 completed
Generating sample 433/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  63%|██████▎   | 10743/17071 [00:00<00:00, 107417.30it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 106966.41it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1227915.21it/s]
Sample 433 completed
Generating sample 434/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13346/17071 [00:00<00:00, 133448.67it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133696.38it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1954601.54it/s]
Sample 434 completed
Generating sample 435/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13319/17071 [00:00<00:00, 133178.38it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133179.38it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1846146.96it/s]
Sample 435 completed
Generating sample 436/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13554/17071 [00:00<00:00, 135534.96it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135272.52it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1912572.15it/s]
Sample 436 completed
Generating sample 437/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  64%|██████▍   | 10911/17071 [00:00<00:00, 21251.42it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 30573.09it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2005123.74it/s]
Sample 437 completed
Generating sample 438/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13625/17071 [00:00<00:00, 136241.03it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136708.54it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1812636.73it/s]
Sample 438 completed
Generating sample 439/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  53%|█████▎    | 9123/17071 [00:00<00:00, 91223.13it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 91690.08it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1146422.50it/s]
Sample 439 completed
Generating sample 440/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13778/17071 [00:00<00:00, 137769.29it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137596.26it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1865823.16it/s]
Sample 440 completed
Generating sample 441/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13747/17071 [00:00<00:00, 137459.64it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137109.34it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1788191.19it/s]
Sample 441 completed
Generating sample 442/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13766/17071 [00:00<00:00, 137656.85it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138019.57it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1855379.84it/s]
Sample 442 completed
Generating sample 443/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13642/17071 [00:00<00:00, 136411.67it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136310.35it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1937360.34it/s]
Sample 443 completed
Generating sample 444/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  60%|██████    | 10302/17071 [00:00<00:00, 103013.22it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 103288.85it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1023250.97it/s]
Sample 444 completed
Generating sample 445/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13626/17071 [00:00<00:00, 136249.41it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136072.80it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1854899.19it/s]
Sample 445 completed
Generating sample 446/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13659/17071 [00:00<00:00, 136581.66it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136313.72it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1878600.08it/s]
Sample 446 completed
Generating sample 447/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13338/17071 [00:00<00:00, 133376.63it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 132928.67it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1880771.31it/s]
Sample 447 completed
Generating sample 448/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13537/17071 [00:00<00:00, 135362.38it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135126.24it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1826928.04it/s]
Sample 448 completed
Generating sample 449/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13568/17071 [00:00<00:00, 135666.87it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135295.53it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1802007.44it/s]
Sample 449 completed
Generating sample 450/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  61%|██████▏   | 10477/17071 [00:00<00:00, 104756.36it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 104623.94it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1126616.16it/s]
Sample 450 completed
Generating sample 451/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  69%|██████▉   | 11838/17071 [00:00<00:00, 118376.73it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 118760.73it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1940563.29it/s]
Sample 451 completed
Generating sample 452/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13530/17071 [00:00<00:00, 135296.58it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135391.46it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1930829.86it/s]
Sample 452 completed
Generating sample 453/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13496/17071 [00:00<00:00, 134954.02it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134577.15it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1907680.27it/s]
Sample 453 completed
Generating sample 454/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  72%|███████▏  | 12306/17071 [00:00<00:00, 23927.67it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 31003.63it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1950182.86it/s]
Sample 454 completed
Generating sample 455/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▊  | 13433/17071 [00:00<00:00, 134324.04it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134140.47it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1864511.32it/s]
Sample 455 completed
Generating sample 456/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  72%|███████▏  | 12309/17071 [00:00<00:00, 123077.79it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 122722.70it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1618100.87it/s]
Sample 456 completed
Generating sample 457/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  60%|██████    | 10283/17071 [00:00<00:00, 102823.97it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 107002.06it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1285567.43it/s]
Sample 457 completed
Generating sample 458/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13607/17071 [00:00<00:00, 136060.07it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135590.17it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1870258.16it/s]
Sample 458 completed
Generating sample 459/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▊  | 13428/17071 [00:00<00:00, 134273.09it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134034.75it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1875057.97it/s]
Sample 459 completed
Generating sample 460/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13637/17071 [00:00<00:00, 136361.68it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135707.10it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1818529.54it/s]
Sample 460 completed
Generating sample 461/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13555/17071 [00:00<00:00, 135535.26it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135401.45it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1840689.06it/s]
Sample 461 completed
Generating sample 462/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  63%|██████▎   | 10686/17071 [00:00<00:00, 106855.52it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 105354.72it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1338761.17it/s]
Sample 462 completed
Generating sample 463/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  70%|██████▉   | 11925/17071 [00:00<00:00, 119245.56it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 119041.30it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1830571.24it/s]
Sample 463 completed
Generating sample 464/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13733/17071 [00:00<00:00, 137322.93it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137079.15it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1874174.53it/s]
Sample 464 completed
Generating sample 465/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13718/17071 [00:00<00:00, 137168.68it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136886.53it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1895358.65it/s]
Sample 465 completed
Generating sample 466/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13699/17071 [00:00<00:00, 136982.95it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136805.45it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1843580.09it/s]
Sample 466 completed
Generating sample 467/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  62%|██████▏   | 10558/17071 [00:00<00:00, 102171.93it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 101019.01it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 659193.73it/s]
Sample 467 completed
Generating sample 468/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  63%|██████▎   | 10816/17071 [00:00<00:00, 108154.17it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 106958.10it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 942502.38it/s]
Sample 468 completed
Generating sample 469/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13533/17071 [00:00<00:00, 135317.87it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135123.44it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1849341.73it/s]
Sample 469 completed
Generating sample 470/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13668/17071 [00:00<00:00, 136565.85it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136960.37it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1861312.35it/s]
Sample 470 completed
Generating sample 471/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13586/17071 [00:00<00:00, 135848.47it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 30996.02it/s] 

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1929061.17it/s]
Sample 471 completed
Generating sample 472/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13756/17071 [00:00<00:00, 137547.67it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137356.05it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1945519.76it/s]
Sample 472 completed
Generating sample 473/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  49%|████▊     | 8287/17071 [00:00<00:00, 82866.52it/s]
Calculating metrics (sequential):  98%|█████████▊| 16770/17071 [00:00<00:00, 84016.35it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 83790.86it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1299213.65it/s]
Sample 473 completed
Generating sample 474/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13398/17071 [00:00<00:00, 133974.70it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133807.57it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1764309.28it/s]
Sample 474 completed
Generating sample 475/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13683/17071 [00:00<00:00, 136822.95it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137227.59it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1839979.53it/s]
Sample 475 completed
Generating sample 476/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13717/17071 [00:00<00:00, 137158.03it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136862.20it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1921142.03it/s]
Sample 476 completed
Generating sample 477/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13687/17071 [00:00<00:00, 136864.58it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136716.64it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1862280.58it/s]
Sample 477 completed
Generating sample 478/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13566/17071 [00:00<00:00, 135649.13it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135322.38it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1851254.33it/s]
Sample 478 completed
Generating sample 479/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  40%|████      | 6849/17071 [00:00<00:00, 68455.14it/s]
Calculating metrics (sequential):  84%|████████▎ | 14261/17071 [00:00<00:00, 71782.93it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 71266.51it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1187451.72it/s]
Sample 479 completed
Generating sample 480/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13334/17071 [00:00<00:00, 133330.59it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 129365.51it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1756863.29it/s]
Sample 480 completed
Generating sample 481/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13685/17071 [00:00<00:00, 136841.00it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137048.98it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1815256.15it/s]
Sample 481 completed
Generating sample 482/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13594/17071 [00:00<00:00, 135929.43it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135821.14it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1962638.11it/s]
Sample 482 completed
Generating sample 483/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13774/17071 [00:00<00:00, 137732.58it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137618.21it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1911908.24it/s]
Sample 483 completed
Generating sample 484/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13764/17071 [00:00<00:00, 137633.57it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137406.93it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1918105.59it/s]
Sample 484 completed
Generating sample 485/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  47%|████▋     | 8084/17071 [00:00<00:00, 80831.21it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 92805.79it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1022505.73it/s]
Sample 485 completed
Generating sample 486/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13520/17071 [00:00<00:00, 135190.14it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134992.49it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1863152.84it/s]
Sample 486 completed
Generating sample 487/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13602/17071 [00:00<00:00, 136015.59it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135577.33it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1857208.61it/s]
Sample 487 completed
Generating sample 488/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  64%|██████▍   | 10903/17071 [00:00<00:00, 21240.55it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 30567.48it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1865191.30it/s]
Sample 488 completed
Generating sample 489/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13638/17071 [00:00<00:00, 135930.30it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136301.27it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1819638.71it/s]
Sample 489 completed
Generating sample 490/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  71%|███████▏  | 12199/17071 [00:00<00:00, 121977.90it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 117083.04it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 942117.94it/s]
Sample 490 completed
Generating sample 491/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  48%|████▊     | 8197/17071 [00:00<00:00, 81959.14it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 86233.49it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 920462.84it/s]
Sample 491 completed
Generating sample 492/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▊  | 13422/17071 [00:00<00:00, 134211.17it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 130436.85it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1828514.32it/s]
Sample 492 completed
Generating sample 493/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13670/17071 [00:00<00:00, 136695.24it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136468.83it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1822881.53it/s]
Sample 493 completed
Generating sample 494/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13585/17071 [00:00<00:00, 135840.09it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136461.03it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1850823.65it/s]
Sample 494 completed
Generating sample 495/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13614/17071 [00:00<00:00, 136128.12it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136104.10it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1959522.81it/s]
Sample 495 completed
Generating sample 496/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  62%|██████▏   | 10523/17071 [00:00<00:00, 105210.03it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 106205.94it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1017970.11it/s]
Sample 496 completed
Generating sample 497/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13472/17071 [00:00<00:00, 134710.49it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 118473.64it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1460379.85it/s]
Sample 497 completed
Generating sample 498/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13578/17071 [00:00<00:00, 135774.95it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135837.11it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1892903.39it/s]
Sample 498 completed
Generating sample 499/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13532/17071 [00:00<00:00, 135311.74it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135145.12it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1884434.25it/s]
Sample 499 completed
Generating sample 500/500 (prompt_gen: 4, temp: 2.5)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13682/17071 [00:00<00:00, 136755.90it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137100.15it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1836251.73it/s]
Sample 500 completed
Completed temperature 2.5
Running with temperature: 3.0
Generating sample 1/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13331/17071 [00:00<00:00, 133222.46it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133491.74it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1839601.35it/s]
Sample 1 completed
Generating sample 2/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  48%|████▊     | 8207/17071 [00:00<00:00, 82058.34it/s]
Calculating metrics (sequential):  96%|█████████▌| 16413/17071 [00:00<00:00, 80981.27it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 81866.82it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 934482.24it/s]
Sample 2 completed
Generating sample 3/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13343/17071 [00:00<00:00, 133421.54it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133226.96it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1963014.77it/s]
Sample 3 completed
Generating sample 4/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13655/17071 [00:00<00:00, 136540.36it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136331.11it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1975035.54it/s]
Sample 4 completed
Generating sample 5/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  72%|███████▏  | 12286/17071 [00:00<00:00, 23758.71it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 30888.10it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1930934.00it/s]
Sample 5 completed
Generating sample 6/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13514/17071 [00:00<00:00, 135125.31it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134694.87it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1881710.43it/s]
Sample 6 completed
Generating sample 7/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  62%|██████▏   | 10517/17071 [00:00<00:00, 105164.83it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 108161.01it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1277242.97it/s]
Sample 7 completed
Generating sample 8/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  69%|██████▉   | 11777/17071 [00:00<00:00, 117765.62it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 117630.47it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1824367.81it/s]
Sample 8 completed
Generating sample 9/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13708/17071 [00:00<00:00, 137072.61it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136764.43it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1826042.78it/s]
Sample 9 completed
Generating sample 10/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13579/17071 [00:00<00:00, 135777.83it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135601.21it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1811627.75it/s]
Sample 10 completed
Generating sample 11/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13782/17071 [00:00<00:00, 137814.87it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137213.65it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1819176.39it/s]
Sample 11 completed
Generating sample 12/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  62%|██████▏   | 10567/17071 [00:00<00:00, 105662.04it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 104720.19it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1324398.64it/s]
Sample 12 completed
Generating sample 13/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13353/17071 [00:00<00:00, 133517.39it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133498.46it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1955722.69it/s]
Sample 13 completed
Generating sample 14/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13689/17071 [00:00<00:00, 136884.26it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136807.54it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1902863.92it/s]
Sample 14 completed
Generating sample 15/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13353/17071 [00:00<00:00, 133526.63it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133820.57it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1852260.03it/s]
Sample 15 completed
Generating sample 16/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  73%|███████▎  | 12537/17071 [00:00<00:00, 125357.57it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 122606.07it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1463753.45it/s]
Sample 16 completed
Generating sample 17/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  76%|███████▌  | 12993/17071 [00:00<00:00, 129916.50it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 131459.69it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1868111.14it/s]
Sample 17 completed
Generating sample 18/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13469/17071 [00:00<00:00, 134679.21it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133807.32it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1779569.12it/s]
Sample 18 completed
Generating sample 19/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  69%|██████▊   | 11694/17071 [00:00<00:00, 116933.70it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 121909.05it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1930829.86it/s]
Sample 19 completed
Generating sample 20/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13567/17071 [00:00<00:00, 135662.69it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 131594.02it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1917181.13it/s]
Sample 20 completed
Generating sample 21/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13670/17071 [00:00<00:00, 136694.59it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137304.69it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1882898.04it/s]
Sample 21 completed
Generating sample 22/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  64%|██████▍   | 10952/17071 [00:00<00:00, 109512.27it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 107178.25it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1280761.36it/s]
Sample 22 completed
Generating sample 23/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):   3%|▎         | 570/17071 [00:00<00:12, 1349.91it/s]
Calculating metrics (sequential):  80%|████████  | 13734/17071 [00:00<00:00, 34286.26it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 31197.83it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1843675.03it/s]
Sample 23 completed
Generating sample 24/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  76%|███████▋  | 13019/17071 [00:00<00:00, 130184.23it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 130853.78it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1814152.32it/s]
Sample 24 completed
Generating sample 25/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13522/17071 [00:00<00:00, 135209.81it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135019.73it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1764483.20it/s]
Sample 25 completed
Generating sample 26/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13472/17071 [00:00<00:00, 134716.60it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134852.66it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1868696.20it/s]
Sample 26 completed
Generating sample 27/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  63%|██████▎   | 10762/17071 [00:00<00:00, 107606.76it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 107804.04it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1443684.24it/s]
Sample 27 completed
Generating sample 28/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13532/17071 [00:00<00:00, 135315.61it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135134.15it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1902560.55it/s]
Sample 28 completed
Generating sample 29/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13704/17071 [00:00<00:00, 137031.64it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137018.29it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1837901.42it/s]
Sample 29 completed
Generating sample 30/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13775/17071 [00:00<00:00, 137743.23it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137564.80it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1840594.42it/s]
Sample 30 completed
Generating sample 31/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13572/17071 [00:00<00:00, 135707.83it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136149.39it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1748881.65it/s]
Sample 31 completed
Generating sample 32/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13389/17071 [00:00<00:00, 133885.02it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 127575.92it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1401247.87it/s]
Sample 32 completed
Generating sample 33/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  62%|██████▏   | 10608/17071 [00:00<00:00, 106071.00it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 105252.50it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1079726.21it/s]
Sample 33 completed
Generating sample 34/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13654/17071 [00:00<00:00, 136530.69it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136681.93it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1920935.87it/s]
Sample 34 completed
Generating sample 35/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  70%|███████   | 12005/17071 [00:00<00:00, 120048.11it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 124711.89it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2122138.81it/s]
Sample 35 completed
Generating sample 36/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13637/17071 [00:00<00:00, 136359.73it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136199.89it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1862910.46it/s]
Sample 36 completed
Generating sample 37/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13454/17071 [00:00<00:00, 134535.32it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 130866.22it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1841872.81it/s]
Sample 37 completed
Generating sample 38/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13858/17071 [00:00<00:00, 138575.18it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138134.86it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1882997.07it/s]
Sample 38 completed
Generating sample 39/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  62%|██████▏   | 10562/17071 [00:00<00:00, 14172.75it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 21113.66it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1342803.41it/s]
Sample 39 completed
Generating sample 40/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13620/17071 [00:00<00:00, 136192.34it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136433.46it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1826368.83it/s]
Sample 40 completed
Generating sample 41/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13580/17071 [00:00<00:00, 135797.22it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135569.63it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1841209.72it/s]
Sample 41 completed
Generating sample 42/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13568/17071 [00:00<00:00, 135672.04it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135465.49it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1813692.78it/s]
Sample 42 completed
Generating sample 43/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13328/17071 [00:00<00:00, 133277.27it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133127.87it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1749308.92it/s]
Sample 43 completed
Generating sample 44/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  60%|█████▉    | 10213/17071 [00:00<00:00, 102121.58it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 97394.28it/s] 

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1441272.24it/s]
Sample 44 completed
Generating sample 45/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13377/17071 [00:00<00:00, 133760.24it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133594.36it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1911704.05it/s]
Sample 45 completed
Generating sample 46/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13649/17071 [00:00<00:00, 136474.84it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136270.14it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1834041.08it/s]
Sample 46 completed
Generating sample 47/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13532/17071 [00:00<00:00, 135312.71it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134994.02it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1859861.90it/s]
Sample 47 completed
Generating sample 48/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  69%|██████▉   | 11846/17071 [00:00<00:00, 118455.88it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 118756.59it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1842773.48it/s]
Sample 48 completed
Generating sample 49/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13636/17071 [00:00<00:00, 136353.30it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136109.01it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1857353.14it/s]
Sample 49 completed
Generating sample 50/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  58%|█████▊    | 9899/17071 [00:00<00:00, 98982.31it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 101981.15it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1022461.92it/s]
Sample 50 completed
Generating sample 51/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13708/17071 [00:00<00:00, 137071.63it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137380.30it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1802642.59it/s]
Sample 51 completed
Generating sample 52/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13616/17071 [00:00<00:00, 136152.99it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136005.08it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1832398.30it/s]
Sample 52 completed
Generating sample 53/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13459/17071 [00:00<00:00, 134579.86it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134912.88it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1818252.46it/s]
Sample 53 completed
Generating sample 54/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13471/17071 [00:00<00:00, 134702.42it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134609.78it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1891303.39it/s]
Sample 54 completed
Generating sample 55/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  62%|██████▏   | 10652/17071 [00:00<00:00, 106509.94it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 106676.68it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1009132.29it/s]
Sample 55 completed
Generating sample 56/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  44%|████▎     | 7451/17071 [00:00<00:00, 15258.80it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 30371.37it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1698315.08it/s]
Sample 56 completed
Generating sample 57/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13862/17071 [00:00<00:00, 138613.52it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138226.33it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1841588.57it/s]
Sample 57 completed
Generating sample 58/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13723/17071 [00:00<00:00, 137224.24it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136977.92it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1937150.68it/s]
Sample 58 completed
Generating sample 59/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13671/17071 [00:00<00:00, 136701.00it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136450.36it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1854947.24it/s]
Sample 59 completed
Generating sample 60/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  60%|█████▉    | 10179/17071 [00:00<00:00, 101689.48it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 103223.03it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1047747.43it/s]
Sample 60 completed
Generating sample 61/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13475/17071 [00:00<00:00, 134742.74it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135022.28it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1838231.72it/s]
Sample 61 completed
Generating sample 62/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13770/17071 [00:00<00:00, 137690.28it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137514.60it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1985661.38it/s]
Sample 62 completed
Generating sample 63/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  69%|██████▉   | 11814/17071 [00:00<00:00, 118137.86it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 117924.37it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1875696.53it/s]
Sample 63 completed
Generating sample 64/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13553/17071 [00:00<00:00, 135522.70it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135339.51it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1832585.90it/s]
Sample 64 completed
Generating sample 65/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  47%|████▋     | 7981/17071 [00:00<00:00, 79738.40it/s]
Calculating metrics (sequential):  93%|█████████▎| 15955/17071 [00:00<00:00, 75479.87it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 75616.82it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1095418.94it/s]
Sample 65 completed
Generating sample 66/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13726/17071 [00:00<00:00, 137249.33it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136993.91it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1869281.63it/s]
Sample 66 completed
Generating sample 67/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13596/17071 [00:00<00:00, 135946.52it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135798.72it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1780365.61it/s]
Sample 67 completed
Generating sample 68/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13668/17071 [00:00<00:00, 136672.31it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137084.92it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1838326.11it/s]
Sample 68 completed
Generating sample 69/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13332/17071 [00:00<00:00, 133097.05it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133573.67it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1861118.83it/s]
Sample 69 completed
Generating sample 70/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  61%|██████    | 10388/17071 [00:00<00:00, 103873.41it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 106016.13it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1299001.52it/s]
Sample 70 completed
Generating sample 71/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13233/17071 [00:00<00:00, 132326.02it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 132266.41it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1951884.08it/s]
Sample 71 completed
Generating sample 72/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13621/17071 [00:00<00:00, 136202.01it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136067.63it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1898575.12it/s]
Sample 72 completed
Generating sample 73/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  24%|██▎       | 4036/17071 [00:00<00:01, 8739.27it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 30597.77it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1938881.73it/s]
Sample 73 completed
Generating sample 74/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13554/17071 [00:00<00:00, 135529.79it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135287.60it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1813233.48it/s]
Sample 74 completed
Generating sample 75/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  53%|█████▎    | 9064/17071 [00:00<00:00, 90633.60it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 90930.98it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1398893.47it/s]
Sample 75 completed
Generating sample 76/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13774/17071 [00:00<00:00, 137730.61it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137566.65it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1937937.14it/s]
Sample 76 completed
Generating sample 77/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13539/17071 [00:00<00:00, 135384.96it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135212.75it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1869086.45it/s]
Sample 77 completed
Generating sample 78/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13595/17071 [00:00<00:00, 135945.92it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135693.98it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1841351.77it/s]
Sample 78 completed
Generating sample 79/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13717/17071 [00:00<00:00, 137157.70it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137038.22it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1874910.67it/s]
Sample 79 completed
Generating sample 80/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  53%|█████▎    | 9088/17071 [00:00<00:00, 90871.64it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 95498.13it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1579653.71it/s]
Sample 80 completed
Generating sample 81/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  60%|██████    | 10261/17071 [00:00<00:00, 102580.99it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 103123.12it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 979734.59it/s]
Sample 81 completed
Generating sample 82/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13775/17071 [00:00<00:00, 137739.95it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137437.26it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1840168.69it/s]
Sample 82 completed
Generating sample 83/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13492/17071 [00:00<00:00, 134907.91it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134854.69it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1872606.01it/s]
Sample 83 completed
Generating sample 84/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▊  | 13435/17071 [00:00<00:00, 134341.80it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134083.45it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1862086.85it/s]
Sample 84 completed
Generating sample 85/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  53%|█████▎    | 8978/17071 [00:00<00:00, 89772.59it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 92132.98it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1519738.58it/s]
Sample 85 completed
Generating sample 86/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13374/17071 [00:00<00:00, 133737.26it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 128956.61it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 607091.37it/s]
Sample 86 completed
Generating sample 87/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13802/17071 [00:00<00:00, 138014.87it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137627.99it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1892253.06it/s]
Sample 87 completed
Generating sample 88/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13641/17071 [00:00<00:00, 136404.28it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135935.11it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1826229.08it/s]
Sample 88 completed
Generating sample 89/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13350/17071 [00:00<00:00, 133492.81it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 30368.98it/s] 

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1885674.95it/s]
Sample 89 completed
Generating sample 90/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13351/17071 [00:00<00:00, 133502.17it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133556.23it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1977380.93it/s]
Sample 90 completed
Generating sample 91/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  63%|██████▎   | 10757/17071 [00:00<00:00, 107564.97it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 109119.03it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 837379.41it/s]
Sample 91 completed
Generating sample 92/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  56%|█████▌    | 9586/17071 [00:00<00:00, 95846.15it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 105455.73it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1791546.90it/s]
Sample 92 completed
Generating sample 93/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13391/17071 [00:00<00:00, 133900.87it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133693.64it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1833853.18it/s]
Sample 93 completed
Generating sample 94/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13532/17071 [00:00<00:00, 135313.68it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135286.58it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1896211.96it/s]
Sample 94 completed
Generating sample 95/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13713/17071 [00:00<00:00, 137119.67it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137124.83it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1877368.67it/s]
Sample 95 completed
Generating sample 96/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13743/17071 [00:00<00:00, 137423.91it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136793.69it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1804005.13it/s]
Sample 96 completed
Generating sample 97/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  62%|██████▏   | 10507/17071 [00:00<00:00, 104938.25it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 104610.95it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1190116.24it/s]
Sample 97 completed
Generating sample 98/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13540/17071 [00:00<00:00, 135389.15it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135450.89it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1886917.29it/s]
Sample 98 completed
Generating sample 99/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13744/17071 [00:00<00:00, 137434.23it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137875.25it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1882799.01it/s]
Sample 99 completed
Generating sample 100/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13746/17071 [00:00<00:00, 137446.37it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137809.18it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1722833.58it/s]
Sample 100 completed
Generating sample 101/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  55%|█████▌    | 9466/17071 [00:00<00:00, 94657.83it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 90271.10it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1104407.76it/s]
Sample 101 completed
Generating sample 102/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  62%|██████▏   | 10530/17071 [00:00<00:00, 105280.77it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 100841.31it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1038854.43it/s]
Sample 102 completed
Generating sample 103/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13722/17071 [00:00<00:00, 137212.28it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136938.63it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1939249.33it/s]
Sample 103 completed
Generating sample 104/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13446/17071 [00:00<00:00, 134450.83it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134029.99it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1975362.47it/s]
Sample 104 completed
Generating sample 105/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13558/17071 [00:00<00:00, 135567.52it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135407.34it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1913952.51it/s]
Sample 105 completed
Generating sample 106/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  66%|██████▌   | 11266/17071 [00:00<00:00, 21882.09it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 30547.53it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1854610.91it/s]
Sample 106 completed
Generating sample 107/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  59%|█████▉    | 10156/17071 [00:00<00:00, 101545.33it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 101793.68it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1281816.07it/s]
Sample 107 completed
Generating sample 108/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13371/17071 [00:00<00:00, 133698.65it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134000.89it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1834369.98it/s]
Sample 108 completed
Generating sample 109/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13382/17071 [00:00<00:00, 133805.45it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133772.07it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1887066.48it/s]
Sample 109 completed
Generating sample 110/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  68%|██████▊   | 11591/17071 [00:00<00:00, 115904.86it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 120277.11it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1910377.90it/s]
Sample 110 completed
Generating sample 111/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13387/17071 [00:00<00:00, 133862.47it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 129873.76it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1585319.69it/s]
Sample 111 completed
Generating sample 112/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  67%|██████▋   | 11371/17071 [00:00<00:00, 113706.04it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 119552.72it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1740718.25it/s]
Sample 112 completed
Generating sample 113/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  59%|█████▉    | 10050/17071 [00:00<00:00, 100494.11it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 99933.51it/s] 

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1395594.26it/s]
Sample 113 completed
Generating sample 114/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▊  | 13409/17071 [00:00<00:00, 134086.29it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133620.78it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1919751.28it/s]
Sample 114 completed
Generating sample 115/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13514/17071 [00:00<00:00, 135127.56it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134995.04it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1859523.79it/s]
Sample 115 completed
Generating sample 116/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  77%|███████▋  | 13189/17071 [00:00<00:00, 131879.12it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 131692.04it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1823252.87it/s]
Sample 116 completed
Generating sample 117/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  77%|███████▋  | 13177/17071 [00:00<00:00, 131765.73it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 131764.75it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1846575.46it/s]
Sample 117 completed
Generating sample 118/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13386/17071 [00:00<00:00, 133852.79it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133666.18it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1867672.58it/s]
Sample 118 completed
Generating sample 119/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13639/17071 [00:00<00:00, 136386.55it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136182.53it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1818991.53it/s]
Sample 119 completed
Generating sample 120/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  71%|███████▏  | 12199/17071 [00:00<00:00, 121986.63it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 120529.99it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1749479.89it/s]
Sample 120 completed
Generating sample 121/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13717/17071 [00:00<00:00, 137162.94it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137511.69it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1758200.66it/s]
Sample 121 completed
Generating sample 122/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  77%|███████▋  | 13113/17071 [00:00<00:00, 131127.00it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 131115.68it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1934063.47it/s]
Sample 122 completed
Generating sample 123/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13628/17071 [00:00<00:00, 136269.41it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 31091.87it/s] 

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1970198.77it/s]
Sample 123 completed
Generating sample 124/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13240/17071 [00:00<00:00, 132390.03it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 132062.95it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1833618.37it/s]
Sample 124 completed
Generating sample 125/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13352/17071 [00:00<00:00, 133515.67it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133318.74it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1863637.78it/s]
Sample 125 completed
Generating sample 126/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  70%|███████   | 11961/17071 [00:00<00:00, 119600.99it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 123939.07it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1915232.41it/s]
Sample 126 completed
Generating sample 127/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13502/17071 [00:00<00:00, 135011.12it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 131331.89it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1833289.73it/s]
Sample 127 completed
Generating sample 128/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13779/17071 [00:00<00:00, 137783.89it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137389.26it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1747686.39it/s]
Sample 128 completed
Generating sample 129/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  61%|██████    | 10344/17071 [00:00<00:00, 103432.95it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 103276.48it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1211214.81it/s]
Sample 129 completed
Generating sample 130/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13269/17071 [00:00<00:00, 132106.49it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133262.17it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1909053.58it/s]
Sample 130 completed
Generating sample 131/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13400/17071 [00:00<00:00, 133991.18it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134226.97it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1995122.70it/s]
Sample 131 completed
Generating sample 132/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13761/17071 [00:00<00:00, 137600.62it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137312.33it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1821073.39it/s]
Sample 132 completed
Generating sample 133/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13645/17071 [00:00<00:00, 136438.09it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135811.60it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1909562.72it/s]
Sample 133 completed
Generating sample 134/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13508/17071 [00:00<00:00, 135067.89it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134996.82it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1821397.66it/s]
Sample 134 completed
Generating sample 135/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13559/17071 [00:00<00:00, 135584.96it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135493.69it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1839601.35it/s]
Sample 135 completed
Generating sample 136/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13512/17071 [00:00<00:00, 135108.21it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134858.50it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1865239.89it/s]
Sample 136 completed
Generating sample 137/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  54%|█████▍    | 9275/17071 [00:00<00:00, 92730.85it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 93530.86it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1260070.11it/s]
Sample 137 completed
Generating sample 138/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  68%|██████▊   | 11592/17071 [00:00<00:00, 115914.03it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 120685.00it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1609408.25it/s]
Sample 138 completed
Generating sample 139/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13561/17071 [00:00<00:00, 135595.58it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 131850.88it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1814704.06it/s]
Sample 139 completed
Generating sample 140/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13315/17071 [00:00<00:00, 133145.68it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134121.37it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1825763.41it/s]
Sample 140 completed
Generating sample 141/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  28%|██▊       | 4730/17071 [00:00<00:01, 10122.55it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 30471.61it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1792937.61it/s]
Sample 141 completed
Generating sample 142/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13676/17071 [00:00<00:00, 136748.07it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136333.71it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1845100.33it/s]
Sample 142 completed
Generating sample 143/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13769/17071 [00:00<00:00, 137683.57it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137301.53it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1837476.93it/s]
Sample 143 completed
Generating sample 144/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  72%|███████▏  | 12297/17071 [00:00<00:00, 122958.98it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 119193.50it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1442753.36it/s]
Sample 144 completed
Generating sample 145/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13717/17071 [00:00<00:00, 137159.01it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137133.76it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1926777.09it/s]
Sample 145 completed
Generating sample 146/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13564/17071 [00:00<00:00, 135635.28it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135411.69it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1857738.66it/s]
Sample 146 completed
Generating sample 147/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13653/17071 [00:00<00:00, 136526.55it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136171.66it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1840736.38it/s]
Sample 147 completed
Generating sample 148/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13359/17071 [00:00<00:00, 133578.98it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133212.58it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1865969.03it/s]
Sample 148 completed
Generating sample 149/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13536/17071 [00:00<00:00, 135353.35it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135513.18it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1860731.90it/s]
Sample 149 completed
Generating sample 150/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13740/17071 [00:00<00:00, 137394.56it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137180.26it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1962261.60it/s]
Sample 150 completed
Generating sample 151/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  60%|█████▉    | 10174/17071 [00:00<00:00, 101718.51it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 99713.49it/s] 

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 865142.98it/s]
Sample 151 completed
Generating sample 152/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  71%|███████   | 12102/17071 [00:00<00:00, 121007.71it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 108981.02it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 746722.33it/s]
Sample 152 completed
Generating sample 153/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  68%|██████▊   | 11599/17071 [00:00<00:00, 115565.52it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 119826.03it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1845242.99it/s]
Sample 153 completed
Generating sample 154/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13360/17071 [00:00<00:00, 133592.16it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 129642.61it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1973456.91it/s]
Sample 154 completed
Generating sample 155/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13645/17071 [00:00<00:00, 136440.05it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136310.87it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1829635.70it/s]
Sample 155 completed
Generating sample 156/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13577/17071 [00:00<00:00, 135761.39it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135658.24it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1816960.53it/s]
Sample 156 completed
Generating sample 157/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13593/17071 [00:00<00:00, 135918.46it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 29943.10it/s] 

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1913287.65it/s]
Sample 157 completed
Generating sample 158/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13494/17071 [00:00<00:00, 134934.98it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135136.70it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1797258.05it/s]
Sample 158 completed
Generating sample 159/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  60%|██████    | 10298/17071 [00:00<00:00, 102975.92it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 102799.03it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1186644.85it/s]
Sample 159 completed
Generating sample 160/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  77%|███████▋  | 13074/17071 [00:00<00:00, 130735.76it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 131132.73it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1867672.58it/s]
Sample 160 completed
Generating sample 161/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13771/17071 [00:00<00:00, 137698.97it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137472.88it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1871529.19it/s]
Sample 161 completed
Generating sample 162/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13448/17071 [00:00<00:00, 134471.15it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134780.82it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1905395.81it/s]
Sample 162 completed
Generating sample 163/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13602/17071 [00:00<00:00, 136013.64it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136006.89it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 2000138.66it/s]
Sample 163 completed
Generating sample 164/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13277/17071 [00:00<00:00, 132764.75it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 132769.44it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1914515.46it/s]
Sample 164 completed
Generating sample 165/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  68%|██████▊   | 11676/17071 [00:00<00:00, 116747.03it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 117218.37it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1807329.27it/s]
Sample 165 completed
Generating sample 166/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▊  | 13429/17071 [00:00<00:00, 134284.69it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134051.32it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1854322.73it/s]
Sample 166 completed
Generating sample 167/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  66%|██████▌   | 11234/17071 [00:00<00:00, 112333.95it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 118287.11it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1620297.89it/s]
Sample 167 completed
Generating sample 168/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▊  | 13427/17071 [00:00<00:00, 134263.09it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134021.96it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1802597.21it/s]
Sample 168 completed
Generating sample 169/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13585/17071 [00:00<00:00, 135833.61it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136270.92it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1821305.00it/s]
Sample 169 completed
Generating sample 170/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13466/17071 [00:00<00:00, 134657.24it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135106.86it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1859716.98it/s]
Sample 170 completed
Generating sample 171/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  77%|███████▋  | 13083/17071 [00:00<00:00, 130826.69it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 129370.42it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1885079.21it/s]
Sample 171 completed
Generating sample 172/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13491/17071 [00:00<00:00, 134898.87it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134574.36it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1951724.46it/s]
Sample 172 completed
Generating sample 173/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13698/17071 [00:00<00:00, 136966.09it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136718.99it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1851110.74it/s]
Sample 173 completed
Generating sample 174/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13530/17071 [00:00<00:00, 135291.42it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134899.66it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1847194.77it/s]
Sample 174 completed
Generating sample 175/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  19%|█▉        | 3322/17071 [00:00<00:02, 4869.60it/s]
Calculating metrics (sequential):  87%|████████▋ | 14891/17071 [00:00<00:00, 24057.83it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 21215.30it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1147377.79it/s]
Sample 175 completed
Generating sample 176/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  66%|██████▌   | 11262/17071 [00:00<00:00, 112608.83it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 104778.73it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 629000.06it/s]
Sample 176 completed
Generating sample 177/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13235/17071 [00:00<00:00, 132345.08it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 131997.70it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1866066.29it/s]
Sample 177 completed
Generating sample 178/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13235/17071 [00:00<00:00, 132334.35it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 132248.33it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1891953.06it/s]
Sample 178 completed
Generating sample 179/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13353/17071 [00:00<00:00, 133521.21it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133079.62it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1868549.90it/s]
Sample 179 completed
Generating sample 180/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▊  | 13401/17071 [00:00<00:00, 134005.97it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133642.23it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1861602.71it/s]
Sample 180 completed
Generating sample 181/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13450/17071 [00:00<00:00, 134488.26it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134737.96it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1807785.58it/s]
Sample 181 completed
Generating sample 182/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13613/17071 [00:00<00:00, 136123.96it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135790.48it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1883789.72it/s]
Sample 182 completed
Generating sample 183/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  77%|███████▋  | 13089/17071 [00:00<00:00, 130883.26it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 130742.43it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1868403.62it/s]
Sample 183 completed
Generating sample 184/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13725/17071 [00:00<00:00, 137246.20it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136903.54it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1845813.81it/s]
Sample 184 completed
Generating sample 185/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13473/17071 [00:00<00:00, 134720.81it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134448.02it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1812315.57it/s]
Sample 185 completed
Generating sample 186/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13752/17071 [00:00<00:00, 137516.52it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137249.16it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1839176.07it/s]
Sample 186 completed
Generating sample 187/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13646/17071 [00:00<00:00, 136452.32it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136257.17it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1847623.76it/s]
Sample 187 completed
Generating sample 188/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13395/17071 [00:00<00:00, 133937.67it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133934.97it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1841115.03it/s]
Sample 188 completed
Generating sample 189/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13545/17071 [00:00<00:00, 135443.02it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135734.37it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1814704.06it/s]
Sample 189 completed
Generating sample 190/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13489/17071 [00:00<00:00, 134874.69it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134995.80it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1809750.37it/s]
Sample 190 completed
Generating sample 191/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  68%|██████▊   | 11569/17071 [00:00<00:00, 115683.77it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 120108.64it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1658735.20it/s]
Sample 191 completed
Generating sample 192/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  50%|████▉     | 8517/17071 [00:00<00:00, 17512.40it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 31023.79it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1941036.75it/s]
Sample 192 completed
Generating sample 193/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13370/17071 [00:00<00:00, 133689.61it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133631.26it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1603102.36it/s]
Sample 193 completed
Generating sample 194/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13726/17071 [00:00<00:00, 137255.88it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136960.89it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1864754.11it/s]
Sample 194 completed
Generating sample 195/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13701/17071 [00:00<00:00, 136651.42it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137005.97it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1840925.68it/s]
Sample 195 completed
Generating sample 196/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  77%|███████▋  | 13101/17071 [00:00<00:00, 131002.63it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 130782.08it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1928593.54it/s]
Sample 196 completed
Generating sample 197/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▊  | 13410/17071 [00:00<00:00, 134088.62it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133930.71it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1814014.43it/s]
Sample 197 completed
Generating sample 198/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13461/17071 [00:00<00:00, 134602.43it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134544.78it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1821583.02it/s]
Sample 198 completed
Generating sample 199/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13698/17071 [00:00<00:00, 136973.60it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136867.17it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1821629.36it/s]
Sample 199 completed
Generating sample 200/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  77%|███████▋  | 13183/17071 [00:00<00:00, 131825.10it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 131895.33it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1788057.23it/s]
Sample 200 completed
Generating sample 201/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13626/17071 [00:00<00:00, 136250.06it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136183.05it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1910225.00it/s]
Sample 201 completed
Generating sample 202/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13331/17071 [00:00<00:00, 133299.96it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133274.32it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1875647.39it/s]
Sample 202 completed
Generating sample 203/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  68%|██████▊   | 11692/17071 [00:00<00:00, 116909.52it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 121463.59it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1823392.17it/s]
Sample 203 completed
Generating sample 204/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  77%|███████▋  | 13197/17071 [00:00<00:00, 131964.78it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 131871.28it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1844244.89it/s]
Sample 204 completed
Generating sample 205/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13445/17071 [00:00<00:00, 134438.27it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 130523.64it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1636256.85it/s]
Sample 205 completed
Generating sample 206/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13643/17071 [00:00<00:00, 136424.28it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136271.43it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1769629.11it/s]
Sample 206 completed
Generating sample 207/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13803/17071 [00:00<00:00, 138019.93it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137761.19it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1839601.35it/s]
Sample 207 completed
Generating sample 208/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13534/17071 [00:00<00:00, 135335.93it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134864.34it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1850775.81it/s]
Sample 208 completed
Generating sample 209/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  34%|███▎      | 5739/17071 [00:00<00:00, 12144.48it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 30669.22it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1817513.99it/s]
Sample 209 completed
Generating sample 210/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▊  | 13443/17071 [00:00<00:00, 134419.87it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134237.80it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1975199.00it/s]
Sample 210 completed
Generating sample 211/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13279/17071 [00:00<00:00, 132782.21it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 132697.59it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1809293.06it/s]
Sample 211 completed
Generating sample 212/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  60%|██████    | 10318/17071 [00:00<00:00, 103175.67it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 111838.41it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1693254.59it/s]
Sample 212 completed
Generating sample 213/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13663/17071 [00:00<00:00, 136622.64it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136559.67it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1856341.90it/s]
Sample 213 completed
Generating sample 214/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13619/17071 [00:00<00:00, 136186.56it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135690.64it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1890704.08it/s]
Sample 214 completed
Generating sample 215/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▊  | 13408/17071 [00:00<00:00, 134077.25it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133789.56it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1898373.77it/s]
Sample 215 completed
Generating sample 216/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13783/17071 [00:00<00:00, 137816.33it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137513.01it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1697670.80it/s]
Sample 216 completed
Generating sample 217/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  46%|████▌     | 7806/17071 [00:00<00:00, 78053.19it/s]
Calculating metrics (sequential):  97%|█████████▋| 16637/17071 [00:00<00:00, 84083.61it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 83866.82it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1098207.98it/s]
Sample 217 completed
Generating sample 218/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  77%|███████▋  | 13145/17071 [00:00<00:00, 131444.80it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 131000.54it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1749095.26it/s]
Sample 218 completed
Generating sample 219/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13486/17071 [00:00<00:00, 134845.02it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135197.43it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1781340.06it/s]
Sample 219 completed
Generating sample 220/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13391/17071 [00:00<00:00, 133898.95it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134377.87it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1810436.76it/s]
Sample 220 completed
Generating sample 221/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  69%|██████▊   | 11714/17071 [00:00<00:00, 117136.20it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 117054.33it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1907273.74it/s]
Sample 221 completed
Generating sample 222/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  62%|██████▏   | 10583/17071 [00:00<00:00, 105824.80it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 104903.38it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1062943.89it/s]
Sample 222 completed
Generating sample 223/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13510/17071 [00:00<00:00, 135094.33it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134902.46it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1924912.32it/s]
Sample 223 completed
Generating sample 224/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13469/17071 [00:00<00:00, 134685.31it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134570.06it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1897015.78it/s]
Sample 224 completed
Generating sample 225/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13459/17071 [00:00<00:00, 134582.75it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 30839.62it/s] 

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1714828.84it/s]
Sample 225 completed
Generating sample 226/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13688/17071 [00:00<00:00, 136873.28it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136644.62it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1820425.19it/s]
Sample 226 completed
Generating sample 227/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13733/17071 [00:00<00:00, 137317.36it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137686.75it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1852451.71it/s]
Sample 227 completed
Generating sample 228/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  58%|█████▊    | 9865/17071 [00:00<00:00, 98612.24it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 81684.04it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 701248.36it/s]
Sample 228 completed
Generating sample 229/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13863/17071 [00:00<00:00, 138626.17it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138336.36it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1902156.20it/s]
Sample 229 completed
Generating sample 230/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13548/17071 [00:00<00:00, 135473.67it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135193.85it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1605402.77it/s]
Sample 230 completed
Generating sample 231/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  69%|██████▉   | 11841/17071 [00:00<00:00, 118402.77it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 118648.95it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1849055.18it/s]
Sample 231 completed
Generating sample 232/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13463/17071 [00:00<00:00, 134620.82it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135080.36it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1816269.18it/s]
Sample 232 completed
Generating sample 233/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  49%|████▉     | 8419/17071 [00:00<00:00, 84186.07it/s]
Calculating metrics (sequential):  99%|█████████▊| 16838/17071 [00:00<00:00, 79622.01it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 79731.42it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1107671.04it/s]
Sample 233 completed
Generating sample 234/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13537/17071 [00:00<00:00, 135363.03it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135272.01it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1825111.87it/s]
Sample 234 completed
Generating sample 235/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13695/17071 [00:00<00:00, 136939.68it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136797.09it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1869037.66it/s]
Sample 235 completed
Generating sample 236/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  77%|███████▋  | 13153/17071 [00:00<00:00, 131524.17it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 131600.55it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1821583.02it/s]
Sample 236 completed
Generating sample 237/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13650/17071 [00:00<00:00, 136495.57it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136046.69it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1785738.32it/s]
Sample 237 completed
Generating sample 238/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  72%|███████▏  | 12296/17071 [00:00<00:00, 122951.91it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 126745.54it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1862619.69it/s]
Sample 238 completed
Generating sample 239/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  50%|████▉     | 8527/17071 [00:00<00:00, 85266.42it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 89271.66it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1100030.17it/s]
Sample 239 completed
Generating sample 240/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13842/17071 [00:00<00:00, 138406.60it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138352.93it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1867039.47it/s]
Sample 240 completed
Generating sample 241/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  69%|██████▉   | 11849/17071 [00:00<00:00, 118478.81it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 123357.63it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1837382.63it/s]
Sample 241 completed
Generating sample 242/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13384/17071 [00:00<00:00, 133836.30it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 130112.84it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1808973.08it/s]
Sample 242 completed
Generating sample 243/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):   7%|▋         | 1269/17071 [00:00<00:05, 2843.39it/s]
Calculating metrics (sequential):  85%|████████▍ | 14501/17071 [00:00<00:00, 34238.42it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 30189.57it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1780941.29it/s]
Sample 243 completed
Generating sample 244/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13632/17071 [00:00<00:00, 136313.63it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136171.92it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1934899.71it/s]
Sample 244 completed
Generating sample 245/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  71%|███████   | 12061/17071 [00:00<00:00, 120600.63it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 120867.54it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1816361.33it/s]
Sample 245 completed
Generating sample 246/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  64%|██████▍   | 10979/17071 [00:00<00:00, 109784.08it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 111334.10it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1538383.08it/s]
Sample 246 completed
Generating sample 247/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  74%|███████▍  | 12641/17071 [00:00<00:00, 126396.26it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 127105.76it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1851110.74it/s]
Sample 247 completed
Generating sample 248/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  69%|██████▉   | 11851/17071 [00:00<00:00, 118499.09it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 122644.29it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1987535.42it/s]
Sample 248 completed
Generating sample 249/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13367/17071 [00:00<00:00, 133656.43it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 129714.01it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1923774.51it/s]
Sample 249 completed
Generating sample 250/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  67%|██████▋   | 11437/17071 [00:00<00:00, 114363.84it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 120650.23it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1745130.60it/s]
Sample 250 completed
Generating sample 251/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  55%|█████▌    | 9453/17071 [00:00<00:00, 94520.63it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 97828.09it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1361778.73it/s]
Sample 251 completed
Generating sample 252/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  77%|███████▋  | 13127/17071 [00:00<00:00, 131257.29it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 126972.77it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1719441.04it/s]
Sample 252 completed
Generating sample 253/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████▏ | 13910/17071 [00:00<00:00, 139088.19it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138782.54it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1843864.95it/s]
Sample 253 completed
Generating sample 254/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  75%|███████▍  | 12792/17071 [00:00<00:00, 127907.92it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 128255.08it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1745343.30it/s]
Sample 254 completed
Generating sample 255/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  69%|██████▉   | 11780/17071 [00:00<00:00, 117789.72it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 105009.08it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1161919.47it/s]
Sample 255 completed
Generating sample 256/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  46%|████▋     | 7930/17071 [00:00<00:00, 79294.97it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 97068.15it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1813968.47it/s]
Sample 256 completed
Generating sample 257/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13866/17071 [00:00<00:00, 138649.22it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138327.81it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1829261.75it/s]
Sample 257 completed
Generating sample 258/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13351/17071 [00:00<00:00, 133503.12it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133389.53it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1668203.53it/s]
Sample 258 completed
Generating sample 259/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  40%|███▉      | 6775/17071 [00:00<00:00, 13080.44it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 28712.44it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1827674.18it/s]
Sample 259 completed
Generating sample 260/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  70%|███████   | 11979/17071 [00:00<00:00, 119780.12it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 118800.34it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1686593.73it/s]
Sample 260 completed
Generating sample 261/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  48%|████▊     | 8275/17071 [00:00<00:00, 82746.33it/s]
Calculating metrics (sequential):  97%|█████████▋| 16550/17071 [00:00<00:00, 81137.83it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 81546.64it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1249122.72it/s]
Sample 261 completed
Generating sample 262/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  66%|██████▋   | 11310/17071 [00:00<00:00, 113092.83it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 116810.85it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1764091.94it/s]
Sample 262 completed
Generating sample 263/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13588/17071 [00:00<00:00, 135874.30it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 131792.40it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1633569.02it/s]
Sample 263 completed
Generating sample 264/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  71%|███████   | 12096/17071 [00:00<00:00, 120953.48it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 120830.01it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1516391.28it/s]
Sample 264 completed
Generating sample 265/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████▏ | 13896/17071 [00:00<00:00, 138954.17it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138620.79it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1681405.31it/s]
Sample 265 completed
Generating sample 266/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  60%|██████    | 10289/17071 [00:00<00:00, 102883.48it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 101580.38it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1357647.35it/s]
Sample 266 completed
Generating sample 267/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13679/17071 [00:00<00:00, 136778.72it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136573.99it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 999357.46it/s]
Sample 267 completed
Generating sample 268/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  75%|███████▌  | 12806/17071 [00:00<00:00, 128047.30it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 123816.90it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1565082.59it/s]
Sample 268 completed
Generating sample 269/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████▏ | 13905/17071 [00:00<00:00, 139042.84it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138544.34it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1858461.95it/s]
Sample 269 completed
Generating sample 270/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13674/17071 [00:00<00:00, 136729.05it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136451.14it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1799380.87it/s]
Sample 270 completed
Generating sample 271/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  66%|██████▌   | 11192/17071 [00:00<00:00, 111915.84it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 119670.02it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1740083.69it/s]
Sample 271 completed
Generating sample 272/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  82%|████████▏ | 13989/17071 [00:00<00:00, 139877.79it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 140012.99it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1864025.92it/s]
Sample 272 completed
Generating sample 273/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13852/17071 [00:00<00:00, 138508.24it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138654.61it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1824321.33it/s]
Sample 273 completed
Generating sample 274/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  70%|██████▉   | 11871/17071 [00:00<00:00, 118705.02it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 123105.24it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1974055.40it/s]
Sample 274 completed
Generating sample 275/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  77%|███████▋  | 13176/17071 [00:00<00:00, 131755.10it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 127536.38it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1954548.18it/s]
Sample 275 completed
Generating sample 276/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  23%|██▎       | 4007/17071 [00:00<00:02, 5907.10it/s]
Calculating metrics (sequential):  84%|████████▍ | 14415/17071 [00:00<00:00, 22985.35it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 21280.43it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1250693.70it/s]
Sample 276 completed
Generating sample 277/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13778/17071 [00:00<00:00, 137768.64it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137483.18it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1790785.17it/s]
Sample 277 completed
Generating sample 278/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13624/17071 [00:00<00:00, 136236.88it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136424.36it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1847290.08it/s]
Sample 278 completed
Generating sample 279/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  82%|████████▏ | 13963/17071 [00:00<00:00, 139620.81it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 139193.98it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1944991.27it/s]
Sample 279 completed
Generating sample 280/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13554/17071 [00:00<00:00, 135530.44it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135665.44it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1919030.94it/s]
Sample 280 completed
Generating sample 281/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  61%|██████    | 10371/17071 [00:00<00:00, 102578.25it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 104519.02it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 878162.31it/s]
Sample 281 completed
Generating sample 282/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13826/17071 [00:00<00:00, 138251.23it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138012.92it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1829869.50it/s]
Sample 282 completed
Generating sample 283/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  69%|██████▉   | 11848/17071 [00:00<00:00, 118473.62it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 123654.61it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1822232.04it/s]
Sample 283 completed
Generating sample 284/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13315/17071 [00:00<00:00, 133142.83it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 129046.55it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1884831.09it/s]
Sample 284 completed
Generating sample 285/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████▏ | 13888/17071 [00:00<00:00, 138875.50it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138600.39it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1843675.03it/s]
Sample 285 completed
Generating sample 286/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  60%|██████    | 10254/17071 [00:00<00:00, 102535.94it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 104331.24it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1336187.88it/s]
Sample 286 completed
Generating sample 287/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  83%|████████▎ | 14118/17071 [00:00<00:00, 141175.76it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 140742.59it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1964307.25it/s]
Sample 287 completed
Generating sample 288/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  82%|████████▏ | 13938/17071 [00:00<00:00, 139375.81it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138759.41it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1902661.66it/s]
Sample 288 completed
Generating sample 289/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13747/17071 [00:00<00:00, 137464.23it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136936.01it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1928749.39it/s]
Sample 289 completed
Generating sample 290/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13841/17071 [00:00<00:00, 138399.90it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137831.73it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1854226.69it/s]
Sample 290 completed
Generating sample 291/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  63%|██████▎   | 10840/17071 [00:00<00:00, 108392.35it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 107915.01it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1206622.24it/s]
Sample 291 completed
Generating sample 292/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13256/17071 [00:00<00:00, 132553.49it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 132068.06it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1838042.96it/s]
Sample 292 completed
Generating sample 293/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  30%|██▉       | 5057/17071 [00:00<00:01, 10733.51it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 30574.44it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1767183.25it/s]
Sample 293 completed
Generating sample 294/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  70%|██████▉   | 11940/17071 [00:00<00:00, 119392.14it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 118908.65it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1888111.48it/s]
Sample 294 completed
Generating sample 295/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13699/17071 [00:00<00:00, 136978.70it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136552.37it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1820008.73it/s]
Sample 295 completed
Generating sample 296/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13771/17071 [00:00<00:00, 137701.27it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137376.35it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1818437.17it/s]
Sample 296 completed
Generating sample 297/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  63%|██████▎   | 10792/17071 [00:00<00:00, 107911.87it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 106409.39it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1233074.96it/s]
Sample 297 completed
Generating sample 298/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13234/17071 [00:00<00:00, 132337.29it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 132050.52it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1967654.06it/s]
Sample 298 completed
Generating sample 299/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13865/17071 [00:00<00:00, 138641.54it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138387.70it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1884136.72it/s]
Sample 299 completed
Generating sample 300/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████▏ | 13909/17071 [00:00<00:00, 139084.50it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138882.41it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1867380.32it/s]
Sample 300 completed
Generating sample 301/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13600/17071 [00:00<00:00, 135994.62it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135756.76it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1699726.14it/s]
Sample 301 completed
Generating sample 302/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  47%|████▋     | 7970/17071 [00:00<00:00, 79688.68it/s]
Calculating metrics (sequential):  97%|█████████▋| 16495/17071 [00:00<00:00, 82955.59it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 82381.39it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 805165.63it/s]
Sample 302 completed
Generating sample 303/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  72%|███████▏  | 12302/17071 [00:00<00:00, 123014.84it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 123742.65it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1662200.84it/s]
Sample 303 completed
Generating sample 304/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  69%|██████▉   | 11789/17071 [00:00<00:00, 117887.86it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 117118.28it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1319760.45it/s]
Sample 304 completed
Generating sample 305/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13457/17071 [00:00<00:00, 134558.26it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 130735.03it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1892603.18it/s]
Sample 305 completed
Generating sample 306/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  77%|███████▋  | 13111/17071 [00:00<00:00, 131107.94it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 130763.92it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1940668.48it/s]
Sample 306 completed
Generating sample 307/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  50%|████▉     | 8534/17071 [00:00<00:00, 85329.91it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 87665.38it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1077046.34it/s]
Sample 307 completed
Generating sample 308/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13679/17071 [00:00<00:00, 136784.59it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136391.10it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1909664.58it/s]
Sample 308 completed
Generating sample 309/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  82%|████████▏ | 13985/17071 [00:00<00:00, 139845.80it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 30549.61it/s] 

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1894806.91it/s]
Sample 309 completed
Generating sample 310/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13561/17071 [00:00<00:00, 135603.34it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135421.42it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1837571.25it/s]
Sample 310 completed
Generating sample 311/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13671/17071 [00:00<00:00, 136704.59it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136318.13it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1891603.18it/s]
Sample 311 completed
Generating sample 312/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  52%|█████▏    | 8924/17071 [00:00<00:00, 89230.94it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 60816.29it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 794357.07it/s]
Sample 312 completed
Generating sample 313/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13851/17071 [00:00<00:00, 138500.23it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 119227.83it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1547426.33it/s]
Sample 313 completed
Generating sample 314/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13768/17071 [00:00<00:00, 137676.19it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137912.96it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1821444.00it/s]
Sample 314 completed
Generating sample 315/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████▏ | 13879/17071 [00:00<00:00, 138779.54it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138527.19it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1984670.67it/s]
Sample 315 completed
Generating sample 316/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13242/17071 [00:00<00:00, 132416.02it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 132146.79it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1980443.76it/s]
Sample 316 completed
Generating sample 317/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13817/17071 [00:00<00:00, 138161.90it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137862.78it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1791098.75it/s]
Sample 317 completed
Generating sample 318/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  49%|████▉     | 8419/17071 [00:00<00:00, 84182.45it/s]
Calculating metrics (sequential):  99%|█████████▊| 16838/17071 [00:00<00:00, 82965.94it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 83090.95it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 769828.33it/s]
Sample 318 completed
Generating sample 319/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13778/17071 [00:00<00:00, 137772.25it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137544.98it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1765875.74it/s]
Sample 319 completed
Generating sample 320/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████▏ | 13889/17071 [00:00<00:00, 138885.83it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 139092.04it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1941879.03it/s]
Sample 320 completed
Generating sample 321/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13693/17071 [00:00<00:00, 136924.58it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137135.33it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1844672.51it/s]
Sample 321 completed
Generating sample 322/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13646/17071 [00:00<00:00, 136445.17it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136781.15it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1878550.80it/s]
Sample 322 completed
Generating sample 323/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  21%|██        | 3556/17071 [00:00<00:00, 35552.07it/s]
Calculating metrics (sequential):  53%|█████▎    | 9068/17071 [00:00<00:00, 47060.66it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 63956.33it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1713228.62it/s]
Sample 323 completed
Generating sample 324/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  53%|█████▎    | 9092/17071 [00:00<00:00, 90917.05it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 95886.01it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1099017.09it/s]
Sample 324 completed
Generating sample 325/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13374/17071 [00:00<00:00, 133732.79it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 129540.81it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1879586.38it/s]
Sample 325 completed
Generating sample 326/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13748/17071 [00:00<00:00, 137468.66it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 30217.55it/s] 

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1772871.56it/s]
Sample 326 completed
Generating sample 327/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13703/17071 [00:00<00:00, 137018.37it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136576.60it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1768186.98it/s]
Sample 327 completed
Generating sample 328/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  82%|████████▏ | 13934/17071 [00:00<00:00, 139326.18it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 139276.83it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1874223.58it/s]
Sample 328 completed
Generating sample 329/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13861/17071 [00:00<00:00, 138601.87it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138742.47it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1795950.73it/s]
Sample 329 completed
Generating sample 330/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13820/17071 [00:00<00:00, 138189.59it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137046.62it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1879833.12it/s]
Sample 330 completed
Generating sample 331/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  47%|████▋     | 8025/17071 [00:00<00:00, 80226.17it/s]
Calculating metrics (sequential):  94%|█████████▍| 16058/17071 [00:00<00:00, 80281.09it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 80824.31it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1244563.17it/s]
Sample 331 completed
Generating sample 332/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  82%|████████▏ | 14030/17071 [00:00<00:00, 140295.12it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 139736.19it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1802506.45it/s]
Sample 332 completed
Generating sample 333/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▊  | 13426/17071 [00:00<00:00, 134160.97it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134687.01it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1849102.93it/s]
Sample 333 completed
Generating sample 334/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13723/17071 [00:00<00:00, 137215.74it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136952.77it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1994511.37it/s]
Sample 334 completed
Generating sample 335/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13363/17071 [00:00<00:00, 133620.25it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133386.05it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1626185.86it/s]
Sample 335 completed
Generating sample 336/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  70%|███████   | 12005/17071 [00:00<00:00, 120045.25it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 124626.58it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1794780.26it/s]
Sample 336 completed
Generating sample 337/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13778/17071 [00:00<00:00, 137769.62it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134032.25it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1942774.75it/s]
Sample 337 completed
Generating sample 338/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  82%|████████▏ | 13967/17071 [00:00<00:00, 139665.80it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 139026.14it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1843390.24it/s]
Sample 338 completed
Generating sample 339/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████▏ | 13898/17071 [00:00<00:00, 138977.15it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138257.83it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1840499.80it/s]
Sample 339 completed
Generating sample 340/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13818/17071 [00:00<00:00, 138175.19it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138414.98it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1858413.71it/s]
Sample 340 completed
Generating sample 341/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  54%|█████▍    | 9237/17071 [00:00<00:00, 92350.05it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 74426.57it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1473392.12it/s]
Sample 341 completed
Generating sample 342/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  53%|█████▎    | 9126/17071 [00:00<00:00, 91248.99it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 90254.49it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1375143.34it/s]
Sample 342 completed
Generating sample 343/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  49%|████▉     | 8439/17071 [00:00<00:00, 84380.22it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 86054.51it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1174344.58it/s]
Sample 343 completed
Generating sample 344/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  26%|██▌       | 4354/17071 [00:00<00:01, 8205.66it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 27263.75it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1657851.85it/s]
Sample 344 completed
Generating sample 345/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▊  | 13436/17071 [00:00<00:00, 134353.72it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 130307.96it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1848386.91it/s]
Sample 345 completed
Generating sample 346/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13617/17071 [00:00<00:00, 136166.56it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135940.79it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1704581.92it/s]
Sample 346 completed
Generating sample 347/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13804/17071 [00:00<00:00, 138029.60it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137943.52it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1970686.80it/s]
Sample 347 completed
Generating sample 348/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  48%|████▊     | 8270/17071 [00:00<00:00, 82689.04it/s]
Calculating metrics (sequential):  99%|█████████▉| 16896/17071 [00:00<00:00, 84782.52it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 84140.01it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1201479.40it/s]
Sample 348 completed
Generating sample 349/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████▏ | 13893/17071 [00:00<00:00, 138925.83it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138699.47it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1903420.36it/s]
Sample 349 completed
Generating sample 350/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13516/17071 [00:00<00:00, 135152.72it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134777.27it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1813095.73it/s]
Sample 350 completed
Generating sample 351/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13502/17071 [00:00<00:00, 135011.44it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134834.12it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1848720.98it/s]
Sample 351 completed
Generating sample 352/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  77%|███████▋  | 13132/17071 [00:00<00:00, 131312.92it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 130920.53it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1606267.13it/s]
Sample 352 completed
Generating sample 353/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  65%|██████▍   | 11084/17071 [00:00<00:00, 110830.86it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 115080.79it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1720597.96it/s]
Sample 353 completed
Generating sample 354/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  51%|█████     | 8741/17071 [00:00<00:00, 87406.12it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 89476.71it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 925998.26it/s]
Sample 354 completed
Generating sample 355/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  51%|█████▏    | 8789/17071 [00:00<00:00, 87884.43it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 84855.57it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1123804.62it/s]
Sample 355 completed
Generating sample 356/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13723/17071 [00:00<00:00, 137218.03it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136836.83it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1884186.30it/s]
Sample 356 completed
Generating sample 357/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  82%|████████▏ | 13928/17071 [00:00<00:00, 139270.17it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138898.30it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1827114.51it/s]
Sample 357 completed
Generating sample 358/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13837/17071 [00:00<00:00, 138362.21it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138016.11it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1840215.98it/s]
Sample 358 completed
Generating sample 359/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13586/17071 [00:00<00:00, 135847.50it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135651.05it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1879339.71it/s]
Sample 359 completed
Generating sample 360/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  51%|█████     | 8633/17071 [00:00<00:00, 86317.73it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 19449.84it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1069133.86it/s]
Sample 360 completed
Generating sample 361/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13707/17071 [00:00<00:00, 137054.12it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136645.41it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1886022.64it/s]
Sample 361 completed
Generating sample 362/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  67%|██████▋   | 11498/17071 [00:00<00:00, 114975.72it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 116067.26it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1552728.38it/s]
Sample 362 completed
Generating sample 363/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▊  | 13409/17071 [00:00<00:00, 134085.01it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133145.70it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1552324.41it/s]
Sample 363 completed
Generating sample 364/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  75%|███████▌  | 12872/17071 [00:00<00:00, 128711.53it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 128286.56it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1559831.90it/s]
Sample 364 completed
Generating sample 365/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  44%|████▍     | 7518/17071 [00:00<00:00, 75173.08it/s]
Calculating metrics (sequential):  95%|█████████▍| 16134/17071 [00:00<00:00, 81629.59it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 80690.78it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1239500.11it/s]
Sample 365 completed
Generating sample 366/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13609/17071 [00:00<00:00, 136081.05it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133480.04it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1743048.92it/s]
Sample 366 completed
Generating sample 367/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13624/17071 [00:00<00:00, 136236.56it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135977.96it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1954388.13it/s]
Sample 367 completed
Generating sample 368/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13694/17071 [00:00<00:00, 136930.34it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136690.80it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1807876.87it/s]
Sample 368 completed
Generating sample 369/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13379/17071 [00:00<00:00, 133783.43it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133608.56it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1769760.33it/s]
Sample 369 completed
Generating sample 370/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  52%|█████▏    | 8885/17071 [00:00<00:00, 88841.61it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 87977.22it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 960313.35it/s]
Sample 370 completed
Generating sample 371/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  46%|████▋     | 7922/17071 [00:00<00:00, 79212.52it/s]
Calculating metrics (sequential):  93%|█████████▎| 15844/17071 [00:00<00:00, 77506.95it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 76801.58it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1146697.90it/s]
Sample 371 completed
Generating sample 372/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13838/17071 [00:00<00:00, 138370.89it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137999.09it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1784937.02it/s]
Sample 372 completed
Generating sample 373/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13503/17071 [00:00<00:00, 135020.79it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134859.77it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1763874.65it/s]
Sample 373 completed
Generating sample 374/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  77%|███████▋  | 13082/17071 [00:00<00:00, 130815.13it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 129468.43it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1512227.84it/s]
Sample 374 completed
Generating sample 375/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  49%|████▉     | 8427/17071 [00:00<00:00, 84251.00it/s]
Calculating metrics (sequential):  99%|█████████▊| 16853/17071 [00:00<00:00, 50950.92it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 53849.08it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 621153.31it/s]
Sample 375 completed
Generating sample 376/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  48%|████▊     | 8146/17071 [00:00<00:00, 81455.42it/s]
Calculating metrics (sequential):  99%|█████████▉| 16909/17071 [00:00<00:00, 85079.02it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 83532.98it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1142963.74it/s]
Sample 376 completed
Generating sample 377/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  66%|██████▌   | 11260/17071 [00:00<00:00, 21434.66it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 30022.60it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1780764.12it/s]
Sample 377 completed
Generating sample 378/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████▏ | 13885/17071 [00:00<00:00, 138837.22it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138522.90it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1782981.31it/s]
Sample 378 completed
Generating sample 379/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  70%|██████▉   | 11938/17071 [00:00<00:00, 119368.16it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 123759.34it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1922173.52it/s]
Sample 379 completed
Generating sample 380/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  60%|█████▉    | 10238/17071 [00:00<00:00, 102373.02it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 69643.49it/s] 

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 608603.32it/s]
Sample 380 completed
Generating sample 381/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  51%|█████▏    | 8775/17071 [00:00<00:00, 87743.81it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 85958.74it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1066188.63it/s]
Sample 381 completed
Generating sample 382/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13324/17071 [00:00<00:00, 133230.92it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 132569.83it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1723621.57it/s]
Sample 382 completed
Generating sample 383/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  82%|████████▏ | 13939/17071 [00:00<00:00, 139383.49it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138955.45it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1806645.23it/s]
Sample 383 completed
Generating sample 384/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13544/17071 [00:00<00:00, 135433.67it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135131.85it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1793251.94it/s]
Sample 384 completed
Generating sample 385/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13449/17071 [00:00<00:00, 134482.11it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135437.82it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1836581.43it/s]
Sample 385 completed
Generating sample 386/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13670/17071 [00:00<00:00, 136690.35it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136551.59it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1844815.10it/s]
Sample 386 completed
Generating sample 387/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  50%|█████     | 8587/17071 [00:00<00:00, 85858.00it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 83662.60it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 900652.38it/s]
Sample 387 completed
Generating sample 388/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  68%|██████▊   | 11640/17071 [00:00<00:00, 116395.95it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 121328.78it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1595315.80it/s]
Sample 388 completed
Generating sample 389/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13491/17071 [00:00<00:00, 134903.70it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 130843.98it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1805096.65it/s]
Sample 389 completed
Generating sample 390/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13564/17071 [00:00<00:00, 135635.28it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135166.29it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1651161.41it/s]
Sample 390 completed
Generating sample 391/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13294/17071 [00:00<00:00, 132936.01it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 131666.86it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1576349.87it/s]
Sample 391 completed
Generating sample 392/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  49%|████▉     | 8414/17071 [00:00<00:00, 84108.80it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 86321.45it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1102299.46it/s]
Sample 392 completed
Generating sample 393/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  50%|████▉     | 8495/17071 [00:00<00:00, 84889.97it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 93432.62it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1688064.97it/s]
Sample 393 completed
Generating sample 394/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  74%|███████▍  | 12640/17071 [00:00<00:00, 23318.18it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 29652.85it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1864656.99it/s]
Sample 394 completed
Generating sample 395/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13680/17071 [00:00<00:00, 136796.22it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136546.64it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1849771.72it/s]
Sample 395 completed
Generating sample 396/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  82%|████████▏ | 13969/17071 [00:00<00:00, 139687.14it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 139211.84it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1827907.47it/s]
Sample 396 completed
Generating sample 397/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  48%|████▊     | 8201/17071 [00:00<00:00, 82000.50it/s]
Calculating metrics (sequential):  99%|█████████▊| 16821/17071 [00:00<00:00, 84464.33it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 82951.56it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1038613.32it/s]
Sample 397 completed
Generating sample 398/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  82%|████████▏ | 13989/17071 [00:00<00:00, 139886.13it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 139487.65it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1880721.90it/s]
Sample 398 completed
Generating sample 399/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  82%|████████▏ | 13923/17071 [00:00<00:00, 139225.49it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 138874.59it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1809247.34it/s]
Sample 399 completed
Generating sample 400/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13472/17071 [00:00<00:00, 134704.07it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134256.42it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1793386.69it/s]
Sample 400 completed
Generating sample 401/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13815/17071 [00:00<00:00, 138142.56it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137765.96it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1705150.24it/s]
Sample 401 completed
Generating sample 402/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  47%|████▋     | 7940/17071 [00:00<00:00, 79393.26it/s]
Calculating metrics (sequential):  96%|█████████▌| 16363/17071 [00:00<00:00, 82235.23it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 81996.57it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1259515.97it/s]
Sample 402 completed
Generating sample 403/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  49%|████▉     | 8369/17071 [00:00<00:00, 83681.10it/s]
Calculating metrics (sequential):  98%|█████████▊| 16738/17071 [00:00<00:00, 82644.89it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 82272.63it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1004686.09it/s]
Sample 403 completed
Generating sample 404/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  52%|█████▏    | 8924/17071 [00:00<00:00, 89232.43it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 89418.83it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1547192.26it/s]
Sample 404 completed
Generating sample 405/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  52%|█████▏    | 8898/17071 [00:00<00:00, 88968.63it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 89090.39it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1322099.89it/s]
Sample 405 completed
Generating sample 406/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  76%|███████▋  | 13035/17071 [00:00<00:00, 130345.77it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 131140.42it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1463633.76it/s]
Sample 406 completed
Generating sample 407/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13732/17071 [00:00<00:00, 137309.66it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137170.01it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1771161.22it/s]
Sample 407 completed
Generating sample 408/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  76%|███████▌  | 12934/17071 [00:00<00:00, 129333.96it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 129565.19it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1650856.86it/s]
Sample 408 completed
Generating sample 409/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13467/17071 [00:00<00:00, 134667.24it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134267.50it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1753120.89it/s]
Sample 409 completed
Generating sample 410/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13681/17071 [00:00<00:00, 136802.30it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136199.37it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1724202.65it/s]
Sample 410 completed
Generating sample 411/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  36%|███▌      | 6076/17071 [00:00<00:01, 9985.95it/s]
Calculating metrics (sequential):  61%|██████    | 10430/17071 [00:00<00:00, 16365.69it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 21886.41it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1531866.32it/s]
Sample 411 completed
Generating sample 412/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  68%|██████▊   | 11645/17071 [00:00<00:00, 116437.06it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 116932.18it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1593256.87it/s]
Sample 412 completed
Generating sample 413/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13394/17071 [00:00<00:00, 133932.14it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134348.62it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1290386.45it/s]
Sample 413 completed
Generating sample 414/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|███████▉  | 13646/17071 [00:00<00:00, 136447.77it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136142.14it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1557897.38it/s]
Sample 414 completed
Generating sample 415/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  52%|█████▏    | 8866/17071 [00:00<00:00, 88649.31it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 85504.82it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1333525.11it/s]
Sample 415 completed
Generating sample 416/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  48%|████▊     | 8159/17071 [00:00<00:00, 81586.19it/s]
Calculating metrics (sequential):  98%|█████████▊| 16796/17071 [00:00<00:00, 84396.40it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 83874.78it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1116984.86it/s]
Sample 416 completed
Generating sample 417/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13671/17071 [00:00<00:00, 136698.07it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136638.37it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1819684.95it/s]
Sample 417 completed
Generating sample 418/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13524/17071 [00:00<00:00, 135236.58it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135206.36it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1867234.22it/s]
Sample 418 completed
Generating sample 419/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13868/17071 [00:00<00:00, 138671.21it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 135419.12it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1880771.31it/s]
Sample 419 completed
Generating sample 420/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  68%|██████▊   | 11616/17071 [00:00<00:00, 116152.63it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 119705.23it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1615763.95it/s]
Sample 420 completed
Generating sample 421/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  52%|█████▏    | 8943/17071 [00:00<00:00, 89425.18it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 86667.08it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1225309.55it/s]
Sample 421 completed
Generating sample 422/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13700/17071 [00:00<00:00, 136993.92it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 113668.92it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1265660.81it/s]
Sample 422 completed
Generating sample 423/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13771/17071 [00:00<00:00, 137705.86it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137539.96it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1899683.31it/s]
Sample 423 completed
Generating sample 424/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  76%|███████▌  | 12982/17071 [00:00<00:00, 129815.48it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 131005.33it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1602133.84it/s]
Sample 424 completed
Generating sample 425/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13818/17071 [00:00<00:00, 138168.93it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 137769.14it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1749180.72it/s]
Sample 425 completed
Generating sample 426/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  76%|███████▌  | 12903/17071 [00:00<00:00, 129019.66it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 129402.92it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1662741.25it/s]
Sample 426 completed
Generating sample 427/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  50%|████▉     | 8476/17071 [00:00<00:00, 84749.98it/s]
Calculating metrics (sequential):  99%|█████████▉| 16951/17071 [00:00<00:00, 17032.21it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 19461.60it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 890526.02it/s]
Sample 427 completed
Generating sample 428/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  36%|███▋      | 6220/17071 [00:00<00:00, 62188.49it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 90548.40it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1682827.95it/s]
Sample 428 completed
Generating sample 429/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  70%|██████▉   | 11890/17071 [00:00<00:00, 118893.31it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 123284.99it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1836157.55it/s]
Sample 429 completed
Generating sample 430/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  81%|████████  | 13771/17071 [00:00<00:00, 137704.88it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133746.08it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1840215.98it/s]
Sample 430 completed
Generating sample 431/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  82%|████████▏ | 13988/17071 [00:00<00:00, 139869.80it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 139481.94it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1685601.10it/s]
Sample 431 completed
Generating sample 432/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  58%|█████▊    | 9954/17071 [00:00<00:00, 98377.89it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 94910.38it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1075557.88it/s]
Sample 432 completed
Generating sample 433/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  52%|█████▏    | 8917/17071 [00:00<00:00, 89160.52it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 89431.89it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1172863.38it/s]
Sample 433 completed
Generating sample 434/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  52%|█████▏    | 8855/17071 [00:00<00:00, 88541.85it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 90496.10it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1258121.69it/s]
Sample 434 completed
Generating sample 435/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  53%|█████▎    | 8997/17071 [00:00<00:00, 89962.36it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 90668.79it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1256267.45it/s]
Sample 435 completed
Generating sample 436/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  53%|█████▎    | 8999/17071 [00:00<00:00, 89983.22it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 91366.80it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1329069.54it/s]
Sample 436 completed
Generating sample 437/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  51%|█████     | 8708/17071 [00:00<00:00, 87063.48it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 88608.04it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1188713.41it/s]
Sample 437 completed
Generating sample 438/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  48%|████▊     | 8219/17071 [00:00<00:00, 82186.55it/s]
Calculating metrics (sequential):  97%|█████████▋| 16560/17071 [00:00<00:00, 82899.75it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 82738.19it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1287902.93it/s]
Sample 438 completed
Generating sample 439/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  54%|█████▍    | 9248/17071 [00:00<00:00, 92470.17it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 91191.32it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1304991.41it/s]
Sample 439 completed
Generating sample 440/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  53%|█████▎    | 9041/17071 [00:00<00:00, 90405.34it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 89529.29it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1207375.07it/s]
Sample 440 completed
Generating sample 441/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  52%|█████▏    | 8947/17071 [00:00<00:00, 89458.78it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 88950.71it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1232332.17it/s]
Sample 441 completed
Generating sample 442/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  54%|█████▎    | 9165/17071 [00:00<00:00, 91633.48it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 91141.64it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1242058.80it/s]
Sample 442 completed
Generating sample 443/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  52%|█████▏    | 8949/17071 [00:00<00:00, 89479.42it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 89751.16it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1293720.55it/s]
Sample 443 completed
Generating sample 444/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  53%|█████▎    | 9063/17071 [00:00<00:00, 90614.96it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 89064.34it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 825114.53it/s]
Sample 444 completed
Generating sample 445/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  26%|██▌       | 4362/17071 [00:00<00:01, 6654.91it/s]
Calculating metrics (sequential):  92%|█████████▏| 15637/17071 [00:00<00:00, 25640.34it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 22248.81it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1466421.52it/s]
Sample 445 completed
Generating sample 446/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  69%|██████▉   | 11803/17071 [00:00<00:00, 118027.30it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 116053.34it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1535809.26it/s]
Sample 446 completed
Generating sample 447/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  80%|████████  | 13702/17071 [00:00<00:00, 137011.96it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 136613.34it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1854514.84it/s]
Sample 447 completed
Generating sample 448/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  51%|█████     | 8708/17071 [00:00<00:00, 87067.21it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 99694.19it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1790382.17it/s]
Sample 448 completed
Generating sample 449/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  75%|███████▌  | 12856/17071 [00:00<00:00, 128549.70it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 128767.13it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1654518.98it/s]
Sample 449 completed
Generating sample 450/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13358/17071 [00:00<00:00, 133569.94it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133383.07it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1819546.23it/s]
Sample 450 completed
Generating sample 451/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  74%|███████▍  | 12605/17071 [00:00<00:00, 126039.90it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 117385.94it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 962469.10it/s]
Sample 451 completed
Generating sample 452/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  60%|██████    | 10254/17071 [00:00<00:00, 102526.90it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 108151.69it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1388611.28it/s]
Sample 452 completed
Generating sample 453/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  48%|████▊     | 8118/17071 [00:00<00:00, 81176.01it/s]
Calculating metrics (sequential):  97%|█████████▋| 16495/17071 [00:00<00:00, 82697.03it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 82545.32it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1238128.37it/s]
Sample 453 completed
Generating sample 454/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  52%|█████▏    | 8813/17071 [00:00<00:00, 88121.05it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 86906.50it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1321904.62it/s]
Sample 454 completed
Generating sample 455/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  53%|█████▎    | 9011/17071 [00:00<00:00, 90104.29it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 90968.99it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1309334.62it/s]
Sample 455 completed
Generating sample 456/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  53%|█████▎    | 9054/17071 [00:00<00:00, 90532.53it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 91930.59it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1404050.58it/s]
Sample 456 completed
Generating sample 457/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  52%|█████▏    | 8944/17071 [00:00<00:00, 89433.26it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 89182.71it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1338060.65it/s]
Sample 457 completed
Generating sample 458/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  53%|█████▎    | 9020/17071 [00:00<00:00, 90193.20it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 90756.71it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1323174.90it/s]
Sample 458 completed
Generating sample 459/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  54%|█████▎    | 9166/17071 [00:00<00:00, 91651.57it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 90923.82it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1252904.10it/s]
Sample 459 completed
Generating sample 460/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  53%|█████▎    | 9093/17071 [00:00<00:00, 90913.83it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 93071.91it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 929194.80it/s]
Sample 460 completed
Generating sample 461/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  47%|████▋     | 8087/17071 [00:00<00:00, 80859.47it/s]
Calculating metrics (sequential):  95%|█████████▍| 16173/17071 [00:00<00:00, 17921.74it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 21155.91it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1105840.54it/s]
Sample 461 completed
Generating sample 462/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  54%|█████▍    | 9191/17071 [00:00<00:00, 91901.98it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 92215.69it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1244109.04it/s]
Sample 462 completed
Generating sample 463/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  54%|█████▎    | 9142/17071 [00:00<00:00, 91412.89it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 92173.07it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1584653.05it/s]
Sample 463 completed
Generating sample 464/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  56%|█████▌    | 9579/17071 [00:00<00:00, 95786.67it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 93649.16it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1374219.60it/s]
Sample 464 completed
Generating sample 465/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  54%|█████▍    | 9208/17071 [00:00<00:00, 92069.55it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 91992.59it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1074912.01it/s]
Sample 465 completed
Generating sample 466/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  52%|█████▏    | 8947/17071 [00:00<00:00, 89466.03it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 90628.51it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1158722.89it/s]
Sample 466 completed
Generating sample 467/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  54%|█████▍    | 9199/17071 [00:00<00:00, 91984.82it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 88365.16it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1218490.92it/s]
Sample 467 completed
Generating sample 468/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  48%|████▊     | 8114/17071 [00:00<00:00, 81126.15it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 86131.94it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1223362.55it/s]
Sample 468 completed
Generating sample 469/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  44%|████▍     | 7586/17071 [00:00<00:00, 75851.03it/s]
Calculating metrics (sequential):  89%|████████▉ | 15172/17071 [00:00<00:00, 75164.02it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 76345.78it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1114394.54it/s]
Sample 469 completed
Generating sample 470/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  50%|████▉     | 8455/17071 [00:00<00:00, 84541.41it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 88034.12it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1181261.15it/s]
Sample 470 completed
Generating sample 471/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  49%|████▊     | 8288/17071 [00:00<00:00, 82874.74it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 86892.58it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1194404.45it/s]
Sample 471 completed
Generating sample 472/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  52%|█████▏    | 8870/17071 [00:00<00:00, 88692.89it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 89288.03it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1218200.69it/s]
Sample 472 completed
Generating sample 473/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  52%|█████▏    | 8855/17071 [00:00<00:00, 88544.17it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 85175.06it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1173747.80it/s]
Sample 473 completed
Generating sample 474/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  52%|█████▏    | 8868/17071 [00:00<00:00, 88675.01it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 89491.25it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1169014.41it/s]
Sample 474 completed
Generating sample 475/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  61%|██████▏   | 10482/17071 [00:00<00:00, 104799.36it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 106515.93it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 998646.60it/s]
Sample 475 completed
Generating sample 476/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  68%|██████▊   | 11682/17071 [00:00<00:00, 116812.87it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 116605.97it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1270917.74it/s]
Sample 476 completed
Generating sample 477/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  61%|██████    | 10355/17071 [00:00<00:00, 103541.46it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 102719.83it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1494301.77it/s]
Sample 477 completed
Generating sample 478/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  66%|██████▌   | 11267/17071 [00:00<00:00, 17747.32it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 24980.42it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1503274.48it/s]
Sample 478 completed
Generating sample 479/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  73%|███████▎  | 12444/17071 [00:00<00:00, 124431.52it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 124545.07it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1416858.88it/s]
Sample 479 completed
Generating sample 480/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  63%|██████▎   | 10773/17071 [00:00<00:00, 107720.34it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 107657.83it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1359735.72it/s]
Sample 480 completed
Generating sample 481/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  72%|███████▏  | 12355/17071 [00:00<00:00, 123507.42it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 111271.47it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1057449.51it/s]
Sample 481 completed
Generating sample 482/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  75%|███████▌  | 12817/17071 [00:00<00:00, 128167.07it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 127385.04it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1620297.89it/s]
Sample 482 completed
Generating sample 483/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13532/17071 [00:00<00:00, 135309.16it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134970.36it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1657429.71it/s]
Sample 483 completed
Generating sample 484/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  77%|███████▋  | 13227/17071 [00:00<00:00, 132265.71it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 132234.65it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1688144.57it/s]
Sample 484 completed
Generating sample 485/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13255/17071 [00:00<00:00, 132546.97it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 132121.92it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1422629.91it/s]
Sample 485 completed
Generating sample 486/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  64%|██████▍   | 10957/17071 [00:00<00:00, 109562.79it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 106328.96it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1359942.33it/s]
Sample 486 completed
Generating sample 487/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  48%|████▊     | 8147/17071 [00:00<00:00, 81444.64it/s]
Calculating metrics (sequential):  97%|█████████▋| 16585/17071 [00:00<00:00, 83166.02it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 81914.40it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1080557.23it/s]
Sample 487 completed
Generating sample 488/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  50%|████▉     | 8492/17071 [00:00<00:00, 84912.39it/s]
Calculating metrics (sequential):  99%|█████████▉| 16984/17071 [00:00<00:00, 83777.49it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 83912.72it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1134686.12it/s]
Sample 488 completed
Generating sample 489/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  72%|███████▏  | 12334/17071 [00:00<00:00, 123329.53it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 125070.68it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1451763.25it/s]
Sample 489 completed
Generating sample 490/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  63%|██████▎   | 10791/17071 [00:00<00:00, 107899.04it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 110029.89it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1594640.73it/s]
Sample 490 completed
Generating sample 491/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  53%|█████▎    | 8970/17071 [00:00<00:00, 89686.61it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 84341.81it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 754615.78it/s]
Sample 491 completed
Generating sample 492/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  70%|██████▉   | 11903/17071 [00:00<00:00, 119025.57it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 123629.41it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1672685.22it/s]
Sample 492 completed
Generating sample 493/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13368/17071 [00:00<00:00, 133677.58it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 133293.18it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1740168.27it/s]
Sample 493 completed
Generating sample 494/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  78%|███████▊  | 13273/17071 [00:00<00:00, 132722.85it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 132929.16it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1551517.12it/s]
Sample 494 completed
Generating sample 495/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  72%|███████▏  | 12328/17071 [00:00<00:00, 21618.44it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 28178.37it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1699564.76it/s]
Sample 495 completed
Generating sample 496/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  79%|███████▉  | 13506/17071 [00:00<00:00, 135054.33it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 134781.84it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1621398.63it/s]
Sample 496 completed
Generating sample 497/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  46%|████▋     | 7935/17071 [00:00<00:00, 79316.60it/s]
Calculating metrics (sequential):  93%|█████████▎| 15909/17071 [00:00<00:00, 79558.52it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 78767.29it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 911185.59it/s]
Sample 497 completed
Generating sample 498/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  34%|███▍      | 5863/17071 [00:00<00:00, 58624.74it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 92673.66it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1821814.76it/s]
Sample 498 completed
Generating sample 499/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  71%|███████   | 12048/17071 [00:00<00:00, 120470.64it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 118675.30it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1440721.23it/s]
Sample 499 completed
Generating sample 500/500 (prompt_gen: 4, temp: 3.0)

Calculating metrics (sequential):   0%|          | 0/17071 [00:00<?, ?it/s]
Calculating metrics (sequential):  47%|████▋     | 8093/17071 [00:00<00:00, 80920.62it/s]
Calculating metrics (sequential):  95%|█████████▍| 16186/17071 [00:00<00:00, 77467.52it/s]
Calculating metrics (sequential): 100%|██████████| 17071/17071 [00:00<00:00, 76323.72it/s]

Finding best metrics:   0%|          | 0/17071 [00:00<?, ?it/s]
Finding best metrics: 100%|██████████| 17071/17071 [00:00<00:00, 1053730.15it/s]
Sample 500 completed
Completed temperature 3.0
Completed prompt_gen: 4
JSONL saved to inference_results/level_generation_results_mario_vertical_20260102_225914.jsonl
Averages JSONL saved to inference_results/level_generation_results_mario_vertical_20260102_225914_averages.jsonl
Run Complete


- Model: unsloth/Qwen2.5-14B-Instruct-bnb-4bit
- LoRA Pair: r=128, alpha=128
- Other Params: {'num_train_epochs': 1, 'train_on_responses_only': True}
Run Name: mario_sft_dataset_numbers_v2.1_str_window_vertical_newline-Qwen2.5-14B-Ins-resp-r128-a128-e1-2287
==((====))==  Unsloth 2025.12.8: Fast Qwen2 patching. Transformers: 4.57.3.
   \\   /|    NVIDIA H100 80GB HBM3. Num GPUs = 1. Max memory: 79.189 GB. Platform: Linux.
O^O/ \_/ \    Torch: 2.9.1+cu128. CUDA: 9.0. CUDA Toolkit: 12.8. Triton: 3.5.1
\        /    Bfloat16 = TRUE. FA [Xformers = 0.0.33.post2. FA2 = False]
 "-____-"     Free license: http://github.com/unslothai/unsloth
Unsloth: Fast downloading is enabled - ignore downloading bars which are red colored!

Fetching 2 files:   0%|          | 0/2 [00:00<?, ?it/s]
Fetching 2 files:  50%|█████     | 1/2 [02:46<02:46, 166.83s/it]
Fetching 2 files: 100%|██████████| 2/2 [02:46<00:00, 83.41s/it] 

Loading checkpoint shards:   0%|          | 0/2 [00:00<?, ?it/s]
Loading checkpoint shards:  50%|█████     | 1/2 [00:01<00:01,  1.29s/it]
Loading checkpoint shards: 100%|██████████| 2/2 [00:02<00:00,  1.27s/it]
Loading checkpoint shards: 100%|██████████| 2/2 [00:02<00:00,  1.27s/it]
Unsloth 2025.12.8 patched 48 layers with 0 QKV layers, 0 O layers and 0 MLP layers.

Map:   0%|          | 0/17071 [00:00<?, ? examples/s]
Map:  12%|█▏        | 2000/17071 [00:00<00:01, 14409.31 examples/s]
Map:  23%|██▎       | 4000/17071 [00:00<00:00, 15539.18 examples/s]
Map:  35%|███▌      | 6000/17071 [00:00<00:00, 16320.37 examples/s]
Map:  47%|████▋     | 8000/17071 [00:00<00:00, 16768.45 examples/s]
Map:  59%|█████▊    | 10000/17071 [00:00<00:00, 17105.04 examples/s]
Map:  70%|███████   | 12000/17071 [00:00<00:00, 17333.58 examples/s]
Map:  82%|████████▏ | 14000/17071 [00:00<00:00, 17543.16 examples/s]
Map:  94%|█████████▎| 16000/17071 [00:00<00:00, 17526.28 examples/s]
Map: 100%|██████████| 17071/17071 [00:01<00:00, 16295.16 examples/s]

Unsloth: Tokenizing ["text"] (num_proc=228):   0%|          | 0/17071 [00:00<?, ? examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):   0%|          | 75/17071 [00:48<3:01:39,  1.56 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):   2%|▏         | 300/17071 [00:48<34:01,  8.22 examples/s] 
Unsloth: Tokenizing ["text"] (num_proc=228):   5%|▍         | 825/17071 [00:48<08:56, 30.28 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):   7%|▋         | 1200/17071 [00:48<05:10, 51.06 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):   9%|▉         | 1500/17071 [00:49<03:32, 73.15 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  10%|█         | 1725/17071 [00:49<02:43, 93.90 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  11%|█         | 1875/17071 [00:50<02:15, 112.54 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  12%|█▏        | 2025/17071 [00:50<01:50, 135.99 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  13%|█▎        | 2175/17071 [00:50<01:26, 172.17 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  14%|█▎        | 2325/17071 [00:50<01:12, 203.62 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  14%|█▍        | 2475/17071 [00:51<00:58, 248.99 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  15%|█▍        | 2550/17071 [00:51<00:52, 274.84 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  15%|█▌        | 2625/17071 [00:51<00:48, 299.87 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  16%|█▋        | 2775/17071 [00:51<00:35, 399.96 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  17%|█▋        | 2925/17071 [00:51<00:32, 438.39 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  18%|█▊        | 3000/17071 [00:52<00:34, 411.50 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  18%|█▊        | 3150/17071 [00:52<00:30, 463.16 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  19%|█▉        | 3300/17071 [00:52<00:28, 487.60 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  20%|██        | 3450/17071 [00:52<00:23, 580.25 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  21%|██        | 3525/17071 [00:52<00:23, 576.89 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  21%|██        | 3600/17071 [00:52<00:23, 574.82 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  22%|██▏       | 3675/17071 [00:53<00:23, 579.86 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  22%|██▏       | 3750/17071 [00:53<00:23, 561.32 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  22%|██▏       | 3825/17071 [00:53<00:23, 558.32 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  23%|██▎       | 3900/17071 [00:53<00:22, 573.72 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  23%|██▎       | 3975/17071 [00:53<00:27, 481.28 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  24%|██▎       | 4050/17071 [00:53<00:25, 516.51 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  24%|██▍       | 4125/17071 [00:53<00:25, 503.06 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  25%|██▌       | 4275/17071 [00:54<00:19, 661.95 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  25%|██▌       | 4350/17071 [00:54<00:19, 651.11 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  26%|██▌       | 4425/17071 [00:54<00:24, 520.73 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  27%|██▋       | 4575/17071 [00:54<00:22, 551.07 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  28%|██▊       | 4725/17071 [00:54<00:18, 673.41 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  28%|██▊       | 4800/17071 [00:55<00:22, 547.22 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  29%|██▊       | 4875/17071 [00:55<00:21, 559.64 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  29%|██▉       | 5025/17071 [00:55<00:20, 593.10 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  30%|███       | 5175/17071 [00:55<00:19, 595.46 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  31%|███       | 5250/17071 [00:55<00:19, 600.38 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  32%|███▏      | 5400/17071 [00:56<00:19, 592.15 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  33%|███▎      | 5550/17071 [00:56<00:19, 606.03 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  33%|███▎      | 5700/17071 [00:56<00:18, 600.33 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  34%|███▍      | 5850/17071 [00:56<00:16, 681.76 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  35%|███▍      | 5925/17071 [00:56<00:16, 670.30 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  35%|███▌      | 6000/17071 [00:56<00:16, 660.68 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  36%|███▌      | 6075/17071 [00:57<00:17, 626.36 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  36%|███▌      | 6150/17071 [00:57<00:17, 629.96 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  36%|███▋      | 6225/17071 [00:57<00:17, 631.40 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  37%|███▋      | 6300/17071 [00:57<00:17, 631.15 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  37%|███▋      | 6375/17071 [00:57<00:21, 506.95 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  38%|███▊      | 6450/17071 [00:57<00:19, 535.65 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  38%|███▊      | 6525/17071 [00:57<00:18, 556.46 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  39%|███▊      | 6600/17071 [00:58<00:18, 561.26 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  39%|███▉      | 6675/17071 [00:58<00:18, 564.73 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  40%|███▉      | 6825/17071 [00:58<00:17, 581.97 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  40%|████      | 6900/17071 [00:58<00:16, 600.89 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  41%|████      | 6975/17071 [00:58<00:16, 606.35 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  42%|████▏     | 7125/17071 [00:58<00:14, 683.51 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  42%|████▏     | 7200/17071 [00:59<00:17, 561.58 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  43%|████▎     | 7350/17071 [00:59<00:14, 652.25 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  44%|████▍     | 7500/17071 [00:59<00:16, 563.96 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  45%|████▍     | 7650/17071 [00:59<00:13, 687.66 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  46%|████▌     | 7800/17071 [01:00<00:16, 562.61 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  46%|████▌     | 7875/17071 [01:00<00:16, 570.25 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  47%|████▋     | 7950/17071 [01:00<00:15, 585.24 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  47%|████▋     | 8025/17071 [01:00<00:15, 565.94 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  47%|████▋     | 8100/17071 [01:00<00:15, 575.96 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  48%|████▊     | 8250/17071 [01:00<00:12, 713.12 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  49%|████▉     | 8325/17071 [01:00<00:15, 564.50 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  49%|████▉     | 8400/17071 [01:01<00:14, 582.28 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  50%|████▉     | 8475/17071 [01:01<00:14, 594.89 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  50%|█████     | 8550/17071 [01:01<00:14, 596.38 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  51%|█████     | 8625/17071 [01:01<00:13, 604.15 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  51%|█████     | 8700/17071 [01:01<00:14, 572.74 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  52%|█████▏    | 8850/17071 [01:01<00:12, 679.28 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  52%|█████▏    | 8925/17071 [01:01<00:12, 674.63 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  53%|█████▎    | 9000/17071 [01:01<00:12, 660.48 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  53%|█████▎    | 9075/17071 [01:02<00:12, 630.14 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  54%|█████▎    | 9150/17071 [01:02<00:13, 608.75 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  54%|█████▍    | 9225/17071 [01:02<00:12, 604.60 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  54%|█████▍    | 9300/17071 [01:02<00:13, 586.28 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  55%|█████▍    | 9375/17071 [01:02<00:12, 593.06 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  55%|█████▌    | 9450/17071 [01:02<00:15, 485.55 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  56%|█████▌    | 9525/17071 [01:02<00:15, 499.03 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  56%|█████▌    | 9600/17071 [01:03<00:14, 522.82 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  57%|█████▋    | 9675/17071 [01:03<00:14, 527.20 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  57%|█████▋    | 9750/17071 [01:03<00:13, 562.26 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  58%|█████▊    | 9825/17071 [01:03<00:13, 536.87 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  58%|█████▊    | 9975/17071 [01:03<00:15, 464.73 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  59%|█████▉    | 10050/17071 [01:04<00:15, 462.34 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  59%|█████▉    | 10125/17071 [01:04<00:15, 458.87 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  60%|██████    | 10275/17071 [01:04<00:11, 582.25 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  61%|██████    | 10350/17071 [01:04<00:11, 597.04 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  61%|██████    | 10425/17071 [01:04<00:11, 584.89 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  62%|██████▏   | 10500/17071 [01:04<00:11, 579.87 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  62%|██████▏   | 10575/17071 [01:04<00:12, 511.49 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  62%|██████▏   | 10650/17071 [01:05<00:12, 532.33 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  63%|██████▎   | 10800/17071 [01:05<00:10, 571.61 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  64%|██████▎   | 10875/17071 [01:05<00:11, 560.59 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  64%|██████▍   | 10950/17071 [01:05<00:10, 563.84 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  65%|██████▌   | 11100/17071 [01:05<00:10, 585.83 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  65%|██████▌   | 11175/17071 [01:05<00:10, 586.95 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  66%|██████▋   | 11325/17071 [01:06<00:09, 586.62 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  67%|██████▋   | 11400/17071 [01:06<00:09, 597.07 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  68%|██████▊   | 11550/17071 [01:06<00:09, 592.81 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  68%|██████▊   | 11625/17071 [01:06<00:09, 599.38 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  69%|██████▉   | 11775/17071 [01:06<00:07, 697.09 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  69%|██████▉   | 11850/17071 [01:07<00:09, 559.15 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  70%|██████▉   | 11925/17071 [01:07<00:09, 569.20 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  70%|███████   | 12000/17071 [01:07<00:08, 577.18 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  71%|███████   | 12075/17071 [01:07<00:08, 575.54 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  71%|███████   | 12150/17071 [01:07<00:08, 586.27 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  72%|███████▏  | 12225/17071 [01:07<00:08, 584.59 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  72%|███████▏  | 12375/17071 [01:07<00:06, 699.36 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  73%|███████▎  | 12450/17071 [01:08<00:07, 653.33 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  73%|███████▎  | 12525/17071 [01:08<00:07, 610.45 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  74%|███████▍  | 12600/17071 [01:08<00:08, 497.11 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  74%|███████▍  | 12675/17071 [01:08<00:09, 443.29 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  75%|███████▌  | 12825/17071 [01:08<00:09, 436.02 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  76%|███████▌  | 12900/17071 [01:09<00:09, 419.49 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  76%|███████▌  | 12975/17071 [01:09<00:08, 461.01 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  77%|███████▋  | 13200/17071 [01:09<00:07, 516.91 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  79%|███████▊  | 13425/17071 [01:10<00:07, 470.45 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  80%|███████▉  | 13575/17071 [01:10<00:06, 503.29 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  80%|███████▉  | 13650/17071 [01:10<00:06, 510.81 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  80%|████████  | 13725/17071 [01:10<00:06, 509.70 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  81%|████████▏ | 13875/17071 [01:10<00:05, 624.76 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  82%|████████▏ | 13950/17071 [01:11<00:05, 527.12 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  82%|████████▏ | 14025/17071 [01:11<00:05, 539.22 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  83%|████████▎ | 14100/17071 [01:11<00:05, 526.59 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  83%|████████▎ | 14175/17071 [01:11<00:05, 539.15 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  83%|████████▎ | 14250/17071 [01:11<00:05, 547.82 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  84%|████████▍ | 14325/17071 [01:11<00:05, 545.44 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  84%|████████▍ | 14400/17071 [01:11<00:04, 545.37 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  85%|████████▍ | 14475/17071 [01:12<00:04, 563.19 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  85%|████████▌ | 14550/17071 [01:12<00:04, 570.98 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  86%|████████▌ | 14625/17071 [01:12<00:04, 574.47 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  86%|████████▌ | 14700/17071 [01:12<00:04, 569.87 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  87%|████████▋ | 14775/17071 [01:12<00:04, 567.79 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  87%|████████▋ | 14850/17071 [01:12<00:04, 530.93 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  87%|████████▋ | 14925/17071 [01:12<00:03, 538.33 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  88%|████████▊ | 14999/17071 [01:13<00:03, 543.23 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  89%|████████▊ | 15147/17071 [01:13<00:03, 539.32 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  89%|████████▉ | 15221/17071 [01:13<00:03, 547.64 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  90%|████████▉ | 15295/17071 [01:13<00:03, 551.82 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  90%|█████████ | 15369/17071 [01:13<00:03, 554.44 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  90%|█████████ | 15443/17071 [01:13<00:03, 538.52 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  91%|█████████ | 15517/17071 [01:13<00:02, 539.92 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  91%|█████████▏| 15591/17071 [01:14<00:02, 547.25 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  92%|█████████▏| 15665/17071 [01:14<00:02, 564.10 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  92%|█████████▏| 15739/17071 [01:14<00:02, 573.16 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  93%|█████████▎| 15813/17071 [01:14<00:02, 571.00 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  93%|█████████▎| 15887/17071 [01:14<00:02, 575.70 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  93%|█████████▎| 15961/17071 [01:14<00:02, 517.42 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  94%|█████████▍| 16109/17071 [01:15<00:01, 575.40 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  95%|█████████▍| 16183/17071 [01:15<00:01, 575.96 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  95%|█████████▌| 16257/17071 [01:15<00:01, 582.35 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  96%|█████████▌| 16331/17071 [01:15<00:01, 546.18 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  96%|█████████▌| 16405/17071 [01:15<00:01, 525.95 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  97%|█████████▋| 16479/17071 [01:15<00:01, 530.67 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  97%|█████████▋| 16627/17071 [01:15<00:00, 688.30 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  98%|█████████▊| 16701/17071 [01:15<00:00, 650.55 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  98%|█████████▊| 16775/17071 [01:16<00:00, 573.04 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228):  99%|█████████▉| 16923/17071 [01:16<00:00, 591.43 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228): 100%|█████████▉| 16997/17071 [01:16<00:00, 595.52 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228): 100%|██████████| 17071/17071 [01:16<00:00, 597.02 examples/s]
Unsloth: Tokenizing ["text"] (num_proc=228): 100%|██████████| 17071/17071 [01:18<00:00, 217.81 examples/s]

Map (num_proc=64):   0%|          | 0/17071 [00:00<?, ? examples/s]
Map (num_proc=64):   2%|▏         | 267/17071 [00:13<14:33, 19.24 examples/s]
Map (num_proc=64):   9%|▉         | 1602/17071 [00:14<01:40, 154.60 examples/s]
Map (num_proc=64):  27%|██▋       | 4539/17071 [00:14<00:21, 572.41 examples/s]
Map (num_proc=64):  44%|████▍     | 7476/17071 [00:14<00:08, 1148.03 examples/s]
Map (num_proc=64):  61%|██████    | 10413/17071 [00:14<00:03, 1929.75 examples/s]
Map (num_proc=64):  84%|████████▍ | 14411/17071 [00:14<00:00, 3379.13 examples/s]
Map (num_proc=64): 100%|██████████| 17071/17071 [00:15<00:00, 1134.49 examples/s]
The model is already on multiple devices. Skipping the move to device specified in `args`.
==((====))==  Unsloth - 2x faster free finetuning | Num GPUs used = 1
   \\   /|    Num examples = 17,071 | Num Epochs = 1 | Total steps = 2,134
O^O/ \_/ \    Batch size per device = 2 | Gradient accumulation steps = 4
\        /    Data Parallel GPUs = 1 | Total batch size (2 x 4 x 1) = 8
 "-____-"     Trainable parameters = 550,502,400 of 15,320,536,064 (3.59% trained)
Starting training for run: mario_sft_dataset_numbers_v2.1_str_window_vertical_newline-Qwen2.5-14B-Ins-resp-r128-a128-e1-2287

  0%|          | 0/2134 [00:00<?, ?it/s]./run_mario_path.sh: line 17: 67503 Killed                  python "$PYTHON_SCRIPT" --config_path "$config_file"
Mario concluido