Instructions to use 77ethers/CarbonAlpha with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use 77ethers/CarbonAlpha with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
v6_sft_only_v2: training log
Browse files- v6_sft_only_v2/training.log +615 -0
v6_sft_only_v2/training.log
ADDED
|
@@ -0,0 +1,615 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
π¦₯ Unsloth: Will patch your computer to enable 2x faster free finetuning.
|
| 2 |
+
π¦₯ Unsloth Zoo will now patch everything to make training faster!
|
| 3 |
+
Loading unsloth/Qwen3-4B-Instruct-2507...
|
| 4 |
+
==((====))== Unsloth 2026.4.8: Fast Qwen3 patching. Transformers: 4.56.2. vLLM: 0.15.1.
|
| 5 |
+
\\ /| NVIDIA L40S. Num GPUs = 1. Max memory: 44.392 GB. Platform: Linux.
|
| 6 |
+
O^O/ \_/ \ Torch: 2.9.1+cu128. CUDA: 8.9. CUDA Toolkit: 12.8. Triton: 3.5.1
|
| 7 |
+
\ / Bfloat16 = TRUE. FA [Xformers = 0.0.33.post2. FA2 = False]
|
| 8 |
+
"-____-" Free license: http://github.com/unslothai/unsloth
|
| 9 |
+
Unsloth: Fast downloading is enabled - ignore downloading bars which are red colored!
|
| 10 |
+
|
| 11 |
+
|
| 12 |
+
model.safetensors.index.json: 0%| | 0.00/32.9k [00:00<?, ?B/s][A
|
| 13 |
+
model.safetensors.index.json: 100%|ββββββββββ| 32.9k/32.9k [00:00<00:00, 135MB/s]
|
| 14 |
+
|
| 15 |
+
|
| 16 |
+
model-00001-of-00002.safetensors: 0%| | 0.00/4.97G [00:00<?, ?B/s][A
|
| 17 |
+
|
| 18 |
+
model-00001-of-00002.safetensors: 1%|β | 67.1M/4.97G [00:01<01:19, 61.6MB/s][A
|
| 19 |
+
|
| 20 |
+
model-00001-of-00002.safetensors: 11%|β | 536M/4.97G [00:02<00:17, 259MB/s] [A
|
| 21 |
+
|
| 22 |
+
model-00001-of-00002.safetensors: 62%|βββββββ | 3.08G/4.97G [00:03<00:01, 1.08GB/s][A
|
| 23 |
+
model-00001-of-00002.safetensors: 100%|ββββββββββ| 4.97G/4.97G [00:03<00:00, 1.29GB/s]
|
| 24 |
+
|
| 25 |
+
|
| 26 |
+
model-00002-of-00002.safetensors: 0%| | 0.00/3.08G [00:00<?, ?B/s][A
|
| 27 |
+
|
| 28 |
+
model-00002-of-00002.safetensors: 0%| | 0.00/3.08G [00:01<?, ?B/s][A
|
| 29 |
+
|
| 30 |
+
model-00002-of-00002.safetensors: 50%|βββββ | 1.54G/3.08G [00:02<00:01, 1.30GB/s][A
|
| 31 |
+
model-00002-of-00002.safetensors: 100%|ββββββββββ| 3.08G/3.08G [00:03<00:00, 1.02GB/s]
|
| 32 |
+
|
| 33 |
+
|
| 34 |
+
Loading checkpoint shards: 0%| | 0/2 [00:00<?, ?it/s][A
|
| 35 |
+
Loading checkpoint shards: 100%|ββββββββββ| 2/2 [00:00<00:00, 2.63it/s]
|
| 36 |
+
|
| 37 |
+
|
| 38 |
+
generation_config.json: 0%| | 0.00/237 [00:00<?, ?B/s][A
|
| 39 |
+
generation_config.json: 100%|ββββββββββ| 237/237 [00:00<00:00, 2.27MB/s]
|
| 40 |
+
|
| 41 |
+
|
| 42 |
+
tokenizer_config.json: 0%| | 0.00/9.65k [00:00<?, ?B/s][A
|
| 43 |
+
tokenizer_config.json: 100%|ββββββββββ| 9.65k/9.65k [00:00<00:00, 61.1MB/s]
|
| 44 |
+
|
| 45 |
+
|
| 46 |
+
vocab.json: 0%| | 0.00/2.78M [00:00<?, ?B/s][A
|
| 47 |
+
vocab.json: 100%|ββββββββββ| 2.78M/2.78M [00:00<00:00, 40.9MB/s]
|
| 48 |
+
|
| 49 |
+
|
| 50 |
+
merges.txt: 0%| | 0.00/1.67M [00:00<?, ?B/s][A
|
| 51 |
+
merges.txt: 100%|ββββββββββ| 1.67M/1.67M [00:00<00:00, 128MB/s]
|
| 52 |
+
|
| 53 |
+
|
| 54 |
+
added_tokens.json: 0%| | 0.00/707 [00:00<?, ?B/s][A
|
| 55 |
+
added_tokens.json: 100%|ββββββββββ| 707/707 [00:00<00:00, 6.15MB/s]
|
| 56 |
+
|
| 57 |
+
|
| 58 |
+
special_tokens_map.json: 0%| | 0.00/614 [00:00<?, ?B/s][A
|
| 59 |
+
special_tokens_map.json: 100%|ββββββββββ| 614/614 [00:00<00:00, 4.61MB/s]
|
| 60 |
+
|
| 61 |
+
|
| 62 |
+
tokenizer.json: 0%| | 0.00/11.4M [00:00<?, ?B/s][A
|
| 63 |
+
tokenizer.json: 100%|ββββββββββ| 11.4M/11.4M [00:00<00:00, 54.2MB/s]
|
| 64 |
+
|
| 65 |
+
|
| 66 |
+
chat_template.jinja: 0%| | 0.00/4.04k [00:00<?, ?B/s][A
|
| 67 |
+
chat_template.jinja: 100%|ββββββββββ| 4.04k/4.04k [00:00<00:00, 27.2MB/s]
|
| 68 |
+
unsloth/Qwen3-4B-Instruct-2507 does not have a padding token! Will use pad_token = <|PAD_TOKEN|>.
|
| 69 |
+
Unsloth 2026.4.8 patched 36 layers with 36 QKV layers, 36 O layers and 36 MLP layers.
|
| 70 |
+
VRAM allocated: 8.20 GB
|
| 71 |
+
|
| 72 |
+
ββ SFT warm-start β sft_traces/merged_v6_aligned.jsonl ββ
|
| 73 |
+
200 SFT examples loaded (chat format in `text`)
|
| 74 |
+
|
| 75 |
+
|
| 76 |
+
Unsloth: Tokenizing ["text"] (num_proc=12): 0%| | 0/200 [00:00<?, ? examples/s][A
|
| 77 |
+
|
| 78 |
+
Unsloth: Tokenizing ["text"] (num_proc=12): 26%|βββ | 51/200 [00:01<00:03, 44.59 examples/s][A
|
| 79 |
+
Unsloth: Tokenizing ["text"] (num_proc=12): 100%|ββββββββββ| 200/200 [00:02<00:00, 95.33 examples/s]
|
| 80 |
+
π¦₯ Unsloth: Padding-free auto-enabled, enabling faster training.
|
| 81 |
+
==((====))== Unsloth - 2x faster free finetuning | Num GPUs used = 1
|
| 82 |
+
\\ /| Num examples = 200 | Num Epochs = 6 | Total steps = 150
|
| 83 |
+
O^O/ \_/ \ Batch size per device = 2 | Gradient accumulation steps = 4
|
| 84 |
+
\ / Data Parallel GPUs = 1 | Total batch size (2 x 4 x 1) = 8
|
| 85 |
+
"-____-" Trainable parameters = 33,030,144 of 4,055,498,240 (0.81% trained)
|
| 86 |
+
|
| 87 |
+
|
| 88 |
+
0%| | 0/150 [00:00<?, ?it/s][AUnsloth: Will smartly offload gradients to save VRAM!
|
| 89 |
+
|
| 90 |
+
|
| 91 |
+
1%| | 1/150 [00:06<17:00, 6.85s/it][A
|
| 92 |
+
|
| 93 |
+
1%|β | 2/150 [00:08<09:12, 3.73s/it][A
|
| 94 |
+
|
| 95 |
+
2%|β | 3/150 [00:09<06:35, 2.69s/it][A
|
| 96 |
+
|
| 97 |
+
3%|β | 4/150 [00:11<05:22, 2.21s/it][A
|
| 98 |
+
|
| 99 |
+
3%|β | 5/150 [00:12<04:42, 1.95s/it][A
|
| 100 |
+
|
| 101 |
+
|
| 102 |
+
[A{'loss': 3.2003, 'grad_norm': 2.315643072128296, 'learning_rate': 2.5e-05, 'epoch': 0.2}
|
| 103 |
+
|
| 104 |
+
|
| 105 |
+
3%|β | 5/150 [00:12<04:42, 1.95s/it][A
|
| 106 |
+
|
| 107 |
+
4%|β | 6/150 [00:14<04:18, 1.79s/it][A
|
| 108 |
+
|
| 109 |
+
5%|β | 7/150 [00:15<04:03, 1.70s/it][A
|
| 110 |
+
|
| 111 |
+
5%|β | 8/150 [00:17<03:52, 1.64s/it][A
|
| 112 |
+
|
| 113 |
+
6%|β | 9/150 [00:18<03:44, 1.59s/it][A
|
| 114 |
+
|
| 115 |
+
7%|β | 10/150 [00:20<03:38, 1.56s/it][A
|
| 116 |
+
|
| 117 |
+
|
| 118 |
+
[A{'loss': 2.9439, 'grad_norm': 1.7202048301696777, 'learning_rate': 4.9647887323943665e-05, 'epoch': 0.4}
|
| 119 |
+
|
| 120 |
+
|
| 121 |
+
7%|β | 10/150 [00:20<03:38, 1.56s/it][A
|
| 122 |
+
|
| 123 |
+
7%|β | 11/150 [00:21<03:34, 1.54s/it][A
|
| 124 |
+
|
| 125 |
+
8%|β | 12/150 [00:23<03:30, 1.52s/it][A
|
| 126 |
+
|
| 127 |
+
9%|β | 13/150 [00:24<03:29, 1.53s/it][A
|
| 128 |
+
|
| 129 |
+
9%|β | 14/150 [00:26<03:28, 1.53s/it][A
|
| 130 |
+
|
| 131 |
+
10%|β | 15/150 [00:27<03:24, 1.51s/it][A
|
| 132 |
+
|
| 133 |
+
|
| 134 |
+
[A{'loss': 2.4466, 'grad_norm': 0.7943887114524841, 'learning_rate': 4.788732394366197e-05, 'epoch': 0.6}
|
| 135 |
+
|
| 136 |
+
|
| 137 |
+
10%|β | 15/150 [00:27<03:24, 1.51s/it][A
|
| 138 |
+
|
| 139 |
+
11%|β | 16/150 [00:29<03:23, 1.52s/it][A
|
| 140 |
+
|
| 141 |
+
11%|ββ | 17/150 [00:30<03:20, 1.51s/it][A
|
| 142 |
+
|
| 143 |
+
12%|ββ | 18/150 [00:32<03:19, 1.51s/it][A
|
| 144 |
+
|
| 145 |
+
13%|ββ | 19/150 [00:33<03:15, 1.50s/it][A
|
| 146 |
+
|
| 147 |
+
13%|ββ | 20/150 [00:35<03:15, 1.50s/it][A
|
| 148 |
+
|
| 149 |
+
|
| 150 |
+
[A{'loss': 2.163, 'grad_norm': 0.7801544666290283, 'learning_rate': 4.6126760563380286e-05, 'epoch': 0.8}
|
| 151 |
+
|
| 152 |
+
|
| 153 |
+
13%|ββ | 20/150 [00:35<03:15, 1.50s/it][A
|
| 154 |
+
|
| 155 |
+
14%|ββ | 21/150 [00:36<03:16, 1.52s/it][A
|
| 156 |
+
|
| 157 |
+
15%|ββ | 22/150 [00:38<03:13, 1.51s/it][A
|
| 158 |
+
|
| 159 |
+
15%|ββ | 23/150 [00:39<03:12, 1.52s/it][A
|
| 160 |
+
|
| 161 |
+
16%|ββ | 24/150 [00:41<03:09, 1.50s/it][A
|
| 162 |
+
|
| 163 |
+
17%|ββ | 25/150 [00:42<03:07, 1.50s/it][A
|
| 164 |
+
|
| 165 |
+
|
| 166 |
+
[A{'loss': 1.9002, 'grad_norm': 0.780380129814148, 'learning_rate': 4.436619718309859e-05, 'epoch': 1.0}
|
| 167 |
+
|
| 168 |
+
|
| 169 |
+
17%|ββ | 25/150 [00:42<03:07, 1.50s/it][A
|
| 170 |
+
|
| 171 |
+
17%|ββ | 26/150 [00:44<03:07, 1.52s/it][A
|
| 172 |
+
|
| 173 |
+
18%|ββ | 27/150 [00:45<03:06, 1.51s/it][A
|
| 174 |
+
|
| 175 |
+
19%|ββ | 28/150 [00:47<03:01, 1.49s/it][A
|
| 176 |
+
|
| 177 |
+
19%|ββ | 29/150 [00:48<03:01, 1.50s/it][A
|
| 178 |
+
|
| 179 |
+
20%|ββ | 30/150 [00:50<03:01, 1.51s/it][A
|
| 180 |
+
|
| 181 |
+
|
| 182 |
+
[A{'loss': 1.6575, 'grad_norm': 0.7079782485961914, 'learning_rate': 4.26056338028169e-05, 'epoch': 1.2}
|
| 183 |
+
|
| 184 |
+
|
| 185 |
+
20%|ββ | 30/150 [00:50<03:01, 1.51s/it][A
|
| 186 |
+
|
| 187 |
+
21%|ββ | 31/150 [00:51<02:56, 1.48s/it][A
|
| 188 |
+
|
| 189 |
+
21%|βββ | 32/150 [00:53<02:54, 1.48s/it][A
|
| 190 |
+
|
| 191 |
+
22%|βββ | 33/150 [00:54<02:54, 1.50s/it][A
|
| 192 |
+
|
| 193 |
+
23%|βββ | 34/150 [00:56<02:54, 1.50s/it][A
|
| 194 |
+
|
| 195 |
+
23%|βββ | 35/150 [00:57<02:54, 1.52s/it][A
|
| 196 |
+
|
| 197 |
+
|
| 198 |
+
[A{'loss': 1.4154, 'grad_norm': 0.7800647616386414, 'learning_rate': 4.0845070422535214e-05, 'epoch': 1.4}
|
| 199 |
+
|
| 200 |
+
|
| 201 |
+
23%|βββ | 35/150 [00:57<02:54, 1.52s/it][A
|
| 202 |
+
|
| 203 |
+
24%|βββ | 36/150 [00:59<02:54, 1.53s/it][A
|
| 204 |
+
|
| 205 |
+
25%|βββ | 37/150 [01:01<02:52, 1.53s/it][A
|
| 206 |
+
|
| 207 |
+
25%|βββ | 38/150 [01:02<02:49, 1.51s/it][A
|
| 208 |
+
|
| 209 |
+
26%|βββ | 39/150 [01:03<02:47, 1.51s/it][A
|
| 210 |
+
|
| 211 |
+
27%|βββ | 40/150 [01:05<02:48, 1.53s/it][A
|
| 212 |
+
|
| 213 |
+
|
| 214 |
+
[A{'loss': 1.1887, 'grad_norm': 0.7795201539993286, 'learning_rate': 3.908450704225352e-05, 'epoch': 1.6}
|
| 215 |
+
|
| 216 |
+
|
| 217 |
+
27%|βββ | 40/150 [01:05<02:48, 1.53s/it][A
|
| 218 |
+
|
| 219 |
+
27%|βββ | 41/150 [01:07<02:45, 1.52s/it][A
|
| 220 |
+
|
| 221 |
+
28%|βββ | 42/150 [01:08<02:43, 1.52s/it][A
|
| 222 |
+
|
| 223 |
+
29%|βββ | 43/150 [01:10<02:44, 1.54s/it][A
|
| 224 |
+
|
| 225 |
+
29%|βββ | 44/150 [01:11<02:40, 1.51s/it][A
|
| 226 |
+
|
| 227 |
+
30%|βββ | 45/150 [01:13<02:39, 1.52s/it][A
|
| 228 |
+
|
| 229 |
+
|
| 230 |
+
[A{'loss': 0.9898, 'grad_norm': 0.5640354752540588, 'learning_rate': 3.7323943661971835e-05, 'epoch': 1.8}
|
| 231 |
+
|
| 232 |
+
|
| 233 |
+
30%|βββ | 45/150 [01:13<02:39, 1.52s/it][A
|
| 234 |
+
|
| 235 |
+
31%|βββ | 46/150 [01:14<02:38, 1.52s/it][A
|
| 236 |
+
|
| 237 |
+
31%|ββββ | 47/150 [01:16<02:35, 1.51s/it][A
|
| 238 |
+
|
| 239 |
+
32%|ββββ | 48/150 [01:17<02:34, 1.52s/it][A
|
| 240 |
+
|
| 241 |
+
33%|ββββ | 49/150 [01:19<02:33, 1.52s/it][A
|
| 242 |
+
|
| 243 |
+
33%|ββββ | 50/150 [01:20<02:31, 1.51s/it][A
|
| 244 |
+
|
| 245 |
+
|
| 246 |
+
[A{'loss': 0.9291, 'grad_norm': 0.43140193819999695, 'learning_rate': 3.556338028169014e-05, 'epoch': 2.0}
|
| 247 |
+
|
| 248 |
+
|
| 249 |
+
33%|ββββ | 50/150 [01:20<02:31, 1.51s/it][A
|
| 250 |
+
|
| 251 |
+
34%|ββββ | 51/150 [01:22<02:30, 1.52s/it][A
|
| 252 |
+
|
| 253 |
+
35%|ββββ | 52/150 [01:23<02:29, 1.53s/it][A
|
| 254 |
+
|
| 255 |
+
35%|ββββ | 53/150 [01:25<02:27, 1.52s/it][A
|
| 256 |
+
|
| 257 |
+
36%|ββββ | 54/150 [01:26<02:23, 1.49s/it][A
|
| 258 |
+
|
| 259 |
+
37%|ββββ | 55/150 [01:28<02:21, 1.49s/it][A
|
| 260 |
+
|
| 261 |
+
|
| 262 |
+
[A{'loss': 0.8827, 'grad_norm': 0.3559304475784302, 'learning_rate': 3.380281690140845e-05, 'epoch': 2.2}
|
| 263 |
+
|
| 264 |
+
|
| 265 |
+
37%|ββββ | 55/150 [01:28<02:21, 1.49s/it][A
|
| 266 |
+
|
| 267 |
+
37%|ββββ | 56/150 [01:29<02:21, 1.51s/it][A
|
| 268 |
+
|
| 269 |
+
38%|ββββ | 57/150 [01:31<02:20, 1.51s/it][A
|
| 270 |
+
|
| 271 |
+
39%|ββββ | 58/150 [01:32<02:19, 1.52s/it][A
|
| 272 |
+
|
| 273 |
+
39%|ββββ | 59/150 [01:34<02:19, 1.53s/it][A
|
| 274 |
+
|
| 275 |
+
40%|ββββ | 60/150 [01:35<02:18, 1.54s/it][A
|
| 276 |
+
|
| 277 |
+
|
| 278 |
+
[A{'loss': 0.8919, 'grad_norm': 0.3519206643104553, 'learning_rate': 3.204225352112676e-05, 'epoch': 2.4}
|
| 279 |
+
|
| 280 |
+
|
| 281 |
+
40%|ββββ | 60/150 [01:35<02:18, 1.54s/it][A
|
| 282 |
+
|
| 283 |
+
41%|ββββ | 61/150 [01:37<02:16, 1.53s/it][A
|
| 284 |
+
|
| 285 |
+
41%|βββββ | 62/150 [01:38<02:14, 1.53s/it][A
|
| 286 |
+
|
| 287 |
+
42%|βββββ | 63/150 [01:40<02:12, 1.52s/it][A
|
| 288 |
+
|
| 289 |
+
43%|βββββ | 64/150 [01:42<02:11, 1.53s/it][A
|
| 290 |
+
|
| 291 |
+
43%|βββββ | 65/150 [01:43<02:09, 1.53s/it][A
|
| 292 |
+
|
| 293 |
+
|
| 294 |
+
[A{'loss': 0.869, 'grad_norm': 0.3210051655769348, 'learning_rate': 3.028169014084507e-05, 'epoch': 2.6}
|
| 295 |
+
|
| 296 |
+
|
| 297 |
+
43%|βββββ | 65/150 [01:43<02:09, 1.53s/it][A
|
| 298 |
+
|
| 299 |
+
44%|βββββ | 66/150 [01:45<02:08, 1.53s/it][A
|
| 300 |
+
|
| 301 |
+
45%|βββββ | 67/150 [01:46<02:05, 1.51s/it][A
|
| 302 |
+
|
| 303 |
+
45%|βββββ | 68/150 [01:48<02:03, 1.50s/it][A
|
| 304 |
+
|
| 305 |
+
46%|βββββ | 69/150 [01:49<02:02, 1.51s/it][A
|
| 306 |
+
|
| 307 |
+
47%|βββββ | 70/150 [01:51<02:02, 1.53s/it][A
|
| 308 |
+
|
| 309 |
+
|
| 310 |
+
[A{'loss': 0.8251, 'grad_norm': 0.31960350275039673, 'learning_rate': 2.8521126760563384e-05, 'epoch': 2.8}
|
| 311 |
+
|
| 312 |
+
|
| 313 |
+
47%|βββββ | 70/150 [01:51<02:02, 1.53s/it][A
|
| 314 |
+
|
| 315 |
+
47%|βββββ | 71/150 [01:52<02:01, 1.54s/it][A
|
| 316 |
+
|
| 317 |
+
48%|βββββ | 72/150 [01:54<01:59, 1.53s/it][A
|
| 318 |
+
|
| 319 |
+
49%|βββββ | 73/150 [01:55<01:58, 1.54s/it][A
|
| 320 |
+
|
| 321 |
+
49%|βββββ | 74/150 [01:57<01:56, 1.54s/it][A
|
| 322 |
+
|
| 323 |
+
50%|βββββ | 75/150 [01:58<01:54, 1.53s/it][A
|
| 324 |
+
|
| 325 |
+
|
| 326 |
+
[A{'loss': 0.8397, 'grad_norm': 0.3365177512168884, 'learning_rate': 2.676056338028169e-05, 'epoch': 3.0}
|
| 327 |
+
|
| 328 |
+
|
| 329 |
+
50%|βββββ | 75/150 [01:58<01:54, 1.53s/it][A
|
| 330 |
+
|
| 331 |
+
51%|βββββ | 76/150 [02:00<01:52, 1.52s/it][A
|
| 332 |
+
|
| 333 |
+
51%|ββββββ | 77/150 [02:01<01:50, 1.52s/it][A
|
| 334 |
+
|
| 335 |
+
52%|ββββββ | 78/150 [02:03<01:50, 1.53s/it][A
|
| 336 |
+
|
| 337 |
+
53%|ββββββ | 79/150 [02:04<01:49, 1.54s/it][A
|
| 338 |
+
|
| 339 |
+
53%|ββββββ | 80/150 [02:06<01:48, 1.54s/it][A
|
| 340 |
+
|
| 341 |
+
|
| 342 |
+
[A{'loss': 0.7999, 'grad_norm': 0.3121998608112335, 'learning_rate': 2.5e-05, 'epoch': 3.2}
|
| 343 |
+
|
| 344 |
+
|
| 345 |
+
53%|ββββββ | 80/150 [02:06<01:48, 1.54s/it][A
|
| 346 |
+
|
| 347 |
+
54%|ββββββ | 81/150 [02:08<01:45, 1.53s/it][A
|
| 348 |
+
|
| 349 |
+
55%|ββββββ | 82/150 [02:09<01:43, 1.53s/it][A
|
| 350 |
+
|
| 351 |
+
55%|ββββββ | 83/150 [02:11<01:42, 1.52s/it][A
|
| 352 |
+
|
| 353 |
+
56%|ββββββ | 84/150 [02:12<01:42, 1.55s/it][A
|
| 354 |
+
|
| 355 |
+
57%|ββββββ | 85/150 [02:14<01:40, 1.54s/it][A
|
| 356 |
+
|
| 357 |
+
|
| 358 |
+
[A{'loss': 0.8139, 'grad_norm': 0.33012324571609497, 'learning_rate': 2.323943661971831e-05, 'epoch': 3.4}
|
| 359 |
+
|
| 360 |
+
|
| 361 |
+
57%|ββββββ | 85/150 [02:14<01:40, 1.54s/it][A
|
| 362 |
+
|
| 363 |
+
57%|ββββββ | 86/150 [02:15<01:37, 1.53s/it][A
|
| 364 |
+
|
| 365 |
+
58%|ββββββ | 87/150 [02:17<01:36, 1.54s/it][A
|
| 366 |
+
|
| 367 |
+
59%|ββββββ | 88/150 [02:18<01:34, 1.53s/it][A
|
| 368 |
+
|
| 369 |
+
59%|ββββββ | 89/150 [02:20<01:33, 1.53s/it][A
|
| 370 |
+
|
| 371 |
+
60%|ββββββ | 90/150 [02:21<01:31, 1.52s/it][A
|
| 372 |
+
|
| 373 |
+
|
| 374 |
+
[A{'loss': 0.7965, 'grad_norm': 0.325542151927948, 'learning_rate': 2.147887323943662e-05, 'epoch': 3.6}
|
| 375 |
+
|
| 376 |
+
|
| 377 |
+
60%|ββββββ | 90/150 [02:21<01:31, 1.52s/it][A
|
| 378 |
+
|
| 379 |
+
61%|ββββββ | 91/150 [02:23<01:29, 1.52s/it][A
|
| 380 |
+
|
| 381 |
+
61%|βββββββ | 92/150 [02:24<01:28, 1.53s/it][A
|
| 382 |
+
|
| 383 |
+
62%|βββββββ | 93/150 [02:26<01:27, 1.54s/it][A
|
| 384 |
+
|
| 385 |
+
63%|βββββββ | 94/150 [02:27<01:26, 1.54s/it][A
|
| 386 |
+
|
| 387 |
+
63%|βββββββ | 95/150 [02:29<01:24, 1.53s/it][A
|
| 388 |
+
|
| 389 |
+
|
| 390 |
+
[A{'loss': 0.8084, 'grad_norm': 0.31672295928001404, 'learning_rate': 1.971830985915493e-05, 'epoch': 3.8}
|
| 391 |
+
|
| 392 |
+
|
| 393 |
+
63%|βββββββ | 95/150 [02:29<01:24, 1.53s/it][A
|
| 394 |
+
|
| 395 |
+
64%|βββββββ | 96/150 [02:31<01:22, 1.54s/it][A
|
| 396 |
+
|
| 397 |
+
65%|βββββββ | 97/150 [02:32<01:21, 1.54s/it][A
|
| 398 |
+
|
| 399 |
+
65%|βββββββ | 98/150 [02:33<01:18, 1.51s/it][A
|
| 400 |
+
|
| 401 |
+
66%|βββββββ | 99/150 [02:35<01:17, 1.52s/it][A
|
| 402 |
+
|
| 403 |
+
67%|βββββββ | 100/150 [02:37<01:16, 1.53s/it][A
|
| 404 |
+
|
| 405 |
+
|
| 406 |
+
[A{'loss': 0.8154, 'grad_norm': 0.3328615128993988, 'learning_rate': 1.7957746478873243e-05, 'epoch': 4.0}
|
| 407 |
+
|
| 408 |
+
|
| 409 |
+
67%|βββββββ | 100/150 [02:37<01:16, 1.53s/it][A
|
| 410 |
+
|
| 411 |
+
67%|βββββββ | 101/150 [02:38<01:15, 1.54s/it][A
|
| 412 |
+
|
| 413 |
+
68%|βββββββ | 102/150 [02:40<01:13, 1.54s/it][A
|
| 414 |
+
|
| 415 |
+
69%|βββββββ | 103/150 [02:41<01:12, 1.54s/it][A
|
| 416 |
+
|
| 417 |
+
69%|ββββοΏ½οΏ½οΏ½ββ | 104/150 [02:43<01:11, 1.56s/it][A
|
| 418 |
+
|
| 419 |
+
70%|βββββββ | 105/150 [02:44<01:09, 1.55s/it][A
|
| 420 |
+
|
| 421 |
+
|
| 422 |
+
[A{'loss': 0.7967, 'grad_norm': 0.32036644220352173, 'learning_rate': 1.619718309859155e-05, 'epoch': 4.2}
|
| 423 |
+
|
| 424 |
+
|
| 425 |
+
70%|βββββββ | 105/150 [02:44<01:09, 1.55s/it][A
|
| 426 |
+
|
| 427 |
+
71%|βββββββ | 106/150 [02:46<01:08, 1.55s/it][A
|
| 428 |
+
|
| 429 |
+
71%|ββββββββ | 107/150 [02:47<01:06, 1.55s/it][A
|
| 430 |
+
|
| 431 |
+
72%|ββββββββ | 108/150 [02:49<01:05, 1.56s/it][A
|
| 432 |
+
|
| 433 |
+
73%|ββββββββ | 109/150 [02:51<01:03, 1.55s/it][A
|
| 434 |
+
|
| 435 |
+
73%|ββββββββ | 110/150 [02:52<01:01, 1.53s/it][A
|
| 436 |
+
|
| 437 |
+
|
| 438 |
+
[A{'loss': 0.7825, 'grad_norm': 0.33183553814888, 'learning_rate': 1.443661971830986e-05, 'epoch': 4.4}
|
| 439 |
+
|
| 440 |
+
|
| 441 |
+
73%|ββββββββ | 110/150 [02:52<01:01, 1.53s/it][A
|
| 442 |
+
|
| 443 |
+
74%|ββββββββ | 111/150 [02:54<00:59, 1.53s/it][A
|
| 444 |
+
|
| 445 |
+
75%|ββββββββ | 112/150 [02:55<00:56, 1.50s/it][A
|
| 446 |
+
|
| 447 |
+
75%|ββββββββ | 113/150 [02:57<00:55, 1.51s/it][A
|
| 448 |
+
|
| 449 |
+
76%|ββββββββ | 114/150 [02:58<00:54, 1.52s/it][A
|
| 450 |
+
|
| 451 |
+
77%|ββββββββ | 115/150 [03:00<00:52, 1.51s/it][A
|
| 452 |
+
|
| 453 |
+
|
| 454 |
+
[A{'loss': 0.7707, 'grad_norm': 0.33796223998069763, 'learning_rate': 1.267605633802817e-05, 'epoch': 4.6}
|
| 455 |
+
|
| 456 |
+
|
| 457 |
+
77%|ββββββββ | 115/150 [03:00<00:52, 1.51s/it][A
|
| 458 |
+
|
| 459 |
+
77%|ββββββββ | 116/150 [03:01<00:51, 1.51s/it][A
|
| 460 |
+
|
| 461 |
+
78%|ββββββββ | 117/150 [03:03<00:50, 1.52s/it][A
|
| 462 |
+
|
| 463 |
+
79%|ββββββββ | 118/150 [03:04<00:48, 1.52s/it][A
|
| 464 |
+
|
| 465 |
+
79%|ββββββββ | 119/150 [03:06<00:46, 1.49s/it][A
|
| 466 |
+
|
| 467 |
+
80%|ββββββββ | 120/150 [03:07<00:45, 1.51s/it][A
|
| 468 |
+
|
| 469 |
+
|
| 470 |
+
[A{'loss': 0.7708, 'grad_norm': 0.33394232392311096, 'learning_rate': 1.0915492957746478e-05, 'epoch': 4.8}
|
| 471 |
+
|
| 472 |
+
|
| 473 |
+
80%|ββββββββ | 120/150 [03:07<00:45, 1.51s/it][A
|
| 474 |
+
|
| 475 |
+
81%|ββββββββ | 121/150 [03:09<00:44, 1.53s/it][A
|
| 476 |
+
|
| 477 |
+
81%|βββββββββ | 122/150 [03:10<00:43, 1.54s/it][A
|
| 478 |
+
|
| 479 |
+
82%|βββββββββ | 123/150 [03:12<00:41, 1.53s/it][A
|
| 480 |
+
|
| 481 |
+
83%|βββββββββ | 124/150 [03:13<00:39, 1.50s/it][A
|
| 482 |
+
|
| 483 |
+
83%|βββββββββ | 125/150 [03:15<00:37, 1.51s/it][A
|
| 484 |
+
|
| 485 |
+
|
| 486 |
+
[A{'loss': 0.7812, 'grad_norm': 0.32235094904899597, 'learning_rate': 9.15492957746479e-06, 'epoch': 5.0}
|
| 487 |
+
|
| 488 |
+
|
| 489 |
+
83%|βββββββββ | 125/150 [03:15<00:37, 1.51s/it][A
|
| 490 |
+
|
| 491 |
+
84%|βββββββββ | 126/150 [03:16<00:36, 1.50s/it][A
|
| 492 |
+
|
| 493 |
+
85%|βββββββββ | 127/150 [03:18<00:34, 1.51s/it][A
|
| 494 |
+
|
| 495 |
+
85%|βββββββββ | 128/150 [03:19<00:32, 1.49s/it][A
|
| 496 |
+
|
| 497 |
+
86%|βββββββββ | 129/150 [03:21<00:31, 1.50s/it][A
|
| 498 |
+
|
| 499 |
+
87%|βββββββββ | 130/150 [03:22<00:29, 1.48s/it][A
|
| 500 |
+
|
| 501 |
+
|
| 502 |
+
[A{'loss': 0.7453, 'grad_norm': 0.3531821668148041, 'learning_rate': 7.394366197183099e-06, 'epoch': 5.2}
|
| 503 |
+
|
| 504 |
+
|
| 505 |
+
87%|βββββββββ | 130/150 [03:22<00:29, 1.48s/it][A
|
| 506 |
+
|
| 507 |
+
87%|βββββββββ | 131/150 [03:24<00:28, 1.51s/it][A
|
| 508 |
+
|
| 509 |
+
88%|βββββββββ | 132/150 [03:25<00:27, 1.50s/it][A
|
| 510 |
+
|
| 511 |
+
89%|βββββββββ | 133/150 [03:27<00:25, 1.50s/it][A
|
| 512 |
+
|
| 513 |
+
89%|βββββββββ | 134/150 [03:28<00:23, 1.49s/it][A
|
| 514 |
+
|
| 515 |
+
90%|βββββββββ | 135/150 [03:30<00:22, 1.51s/it][A
|
| 516 |
+
|
| 517 |
+
|
| 518 |
+
[A{'loss': 0.7588, 'grad_norm': 0.3414919972419739, 'learning_rate': 5.6338028169014084e-06, 'epoch': 5.4}
|
| 519 |
+
|
| 520 |
+
|
| 521 |
+
90%|βββββββββ | 135/150 [03:30<00:22, 1.51s/it][A
|
| 522 |
+
|
| 523 |
+
91%|βββββββββ | 136/150 [03:31<00:21, 1.51s/it][A
|
| 524 |
+
|
| 525 |
+
91%|ββββββββββ| 137/150 [03:33<00:19, 1.51s/it][A
|
| 526 |
+
|
| 527 |
+
92%|ββββββββββ| 138/150 [03:34<00:18, 1.53s/it][A
|
| 528 |
+
|
| 529 |
+
93%|ββββββββββ| 139/150 [03:36<00:16, 1.52s/it][A
|
| 530 |
+
|
| 531 |
+
93%|ββββββββββ| 140/150 [03:37<00:15, 1.54s/it][A
|
| 532 |
+
|
| 533 |
+
|
| 534 |
+
[A{'loss': 0.7859, 'grad_norm': 0.33363598585128784, 'learning_rate': 3.873239436619718e-06, 'epoch': 5.6}
|
| 535 |
+
|
| 536 |
+
|
| 537 |
+
93%|ββββββββββ| 140/150 [03:37<00:15, 1.54s/it][A
|
| 538 |
+
|
| 539 |
+
94%|ββββββββββ| 141/150 [03:39<00:13, 1.53s/it][A
|
| 540 |
+
|
| 541 |
+
95%|ββββββββββ| 142/150 [03:40<00:12, 1.52s/it][A
|
| 542 |
+
|
| 543 |
+
95%|ββββββββββ| 143/150 [03:42<00:10, 1.52s/it][A
|
| 544 |
+
|
| 545 |
+
96%|ββββββββββ| 144/150 [03:43<00:09, 1.53s/it][A
|
| 546 |
+
|
| 547 |
+
97%|ββββββββββ| 145/150 [03:45<00:07, 1.52s/it][A
|
| 548 |
+
|
| 549 |
+
|
| 550 |
+
[A{'loss': 0.7676, 'grad_norm': 0.3417748510837555, 'learning_rate': 2.112676056338028e-06, 'epoch': 5.8}
|
| 551 |
+
|
| 552 |
+
|
| 553 |
+
97%|ββββββββββ| 145/150 [03:45<00:07, 1.52s/it][A
|
| 554 |
+
|
| 555 |
+
97%|ββββββββββ| 146/150 [03:46<00:06, 1.51s/it][A
|
| 556 |
+
|
| 557 |
+
98%|ββββββββββ| 147/150 [03:48<00:04, 1.52s/it][A
|
| 558 |
+
|
| 559 |
+
99%|ββββββββββ| 148/150 [03:49<00:02, 1.50s/it][A
|
| 560 |
+
|
| 561 |
+
99%|ββββββββββ| 149/150 [03:51<00:01, 1.49s/it][A
|
| 562 |
+
|
| 563 |
+
100%|ββββββββββ| 150/150 [03:53<00:00, 1.53s/it][A
|
| 564 |
+
|
| 565 |
+
|
| 566 |
+
[A{'loss': 0.7767, 'grad_norm': 0.3764980137348175, 'learning_rate': 3.5211267605633803e-07, 'epoch': 6.0}
|
| 567 |
+
|
| 568 |
+
|
| 569 |
+
100%|ββββββββββ| 150/150 [03:53<00:00, 1.53s/it][A
|
| 570 |
+
|
| 571 |
+
|
| 572 |
+
[A{'train_runtime': 233.6201, 'train_samples_per_second': 5.137, 'train_steps_per_second': 0.642, 'train_loss': 1.1637831672032675, 'epoch': 6.0}
|
| 573 |
+
|
| 574 |
+
|
| 575 |
+
100%|ββββββββββ| 150/150 [03:53<00:00, 1.53s/it][A
|
| 576 |
+
100%|ββββββββββ| 150/150 [03:53<00:00, 1.56s/it]
|
| 577 |
+
SFT done in 3.9 min
|
| 578 |
+
|
| 579 |
+
ββ Pre-GRPO hold-out eval (SFT-only) ββ
|
| 580 |
+
|
| 581 |
+
[diagnostic] seed=100 raw completion (first 500 chars):
|
| 582 |
+
</tool_call>
|
| 583 |
+
The news signals a severe supply chain fragmentation and transition shock. 1st-order: Tech faces immediate headwinds from export controls and rare-earth shortages, while OIL benefits from sector rotation. 2nd-order: GREEN faces supply chain constraints, but the transition shock provides a tailwind. 3rd-order: BONDS and REAL_ESTATE are safe havens.
|
| 584 |
+
Given the 12-quarter lockup, I must avoid OIL due to the 25 kg carbon cap. A 0.25 allocation to OIL would emit 2.5 * 0.25 * 12 = 7.5 kg,
|
| 585 |
+
[parse_action result]: metadata={} weights=[0.35, 0.0, 0.45, 0.15, 0.05] infra_commit=0.15 carbon_offset_buy=0.0 put_hedge=0.0 tech_bet='fragmentation'
|
| 586 |
+
|
| 587 |
+
ββ Hold-out eval (5/5 valid) ββ
|
| 588 |
+
mean regret: +0.0340
|
| 589 |
+
beat baseline: 3/5
|
| 590 |
+
Found HuggingFace hub cache directory: /tmp/CarbonAlpha/hf_cache/hub
|
| 591 |
+
Checking cache directory for required files...
|
| 592 |
+
|
| 593 |
+
|
| 594 |
+
Unsloth: Copying 2 files from cache to `/tmp/CarbonAlpha/checkpoints/final_merged`: 0%| | 0/2 [00:00<?, ?it/s][A
|
| 595 |
+
|
| 596 |
+
Unsloth: Copying 2 files from cache to `/tmp/CarbonAlpha/checkpoints/final_merged`: 100%|ββββββββββ| 2/2 [00:01<00:00, 1.40it/s][A
|
| 597 |
+
Unsloth: Copying 2 files from cache to `/tmp/CarbonAlpha/checkpoints/final_merged`: 100%|ββββββββββ| 2/2 [00:01<00:00, 1.40it/s]
|
| 598 |
+
Successfully copied all 2 files from cache to `/tmp/CarbonAlpha/checkpoints/final_merged`
|
| 599 |
+
Checking cache directory for required files...
|
| 600 |
+
Cache check failed: tokenizer.model not found in local cache.
|
| 601 |
+
Not all required files found in cache. Will proceed with downloading.
|
| 602 |
+
|
| 603 |
+
|
| 604 |
+
Unsloth: Preparing safetensor model files: 0%| | 0/2 [00:00<?, ?it/s][A
|
| 605 |
+
Unsloth: Preparing safetensor model files: 100%|ββββββββββ| 2/2 [00:00<00:00, 57065.36it/s]
|
| 606 |
+
|
| 607 |
+
|
| 608 |
+
Unsloth: Merging weights into 16bit: 0%| | 0/2 [00:00<?, ?it/s][A
|
| 609 |
+
|
| 610 |
+
Unsloth: Merging weights into 16bit: 50%|βββββ | 1/2 [00:30<00:30, 30.52s/it][A
|
| 611 |
+
|
| 612 |
+
Unsloth: Merging weights into 16bit: 100%|ββββββββββ| 2/2 [00:47<00:00, 22.45s/it][A
|
| 613 |
+
Unsloth: Merging weights into 16bit: 100%|ββββββββββ| 2/2 [00:47<00:00, 23.66s/it]
|
| 614 |
+
Unsloth: Merge process complete. Saved to `/tmp/CarbonAlpha/checkpoints/final_merged`
|
| 615 |
+
SFT-only mode. Saved LoRA adapters to /tmp/CarbonAlpha/checkpoints/final_merged
|