Upload folder using huggingface_hub

superni_order1_llama_srt/outputs/1-task1572_samsum_summary/all_results.json

@@ -0,0 +1,24 @@
+{
+  "predict_exact_match": 0.0,
+  "predict_rouge1": 50.3879,
+  "predict_eval_rougeL": 41.3728,
+  "predict_gen_len": 27.35,
+  "predict_runtime": 42.18466920289211,
+  "predict_samples": 20,
+  "predict_samples_per_second": 0.474,
+  "predict_steps_per_second": 0.474,
+  "epoch": 15.0,
+  "predict_global_step": 75,
+  "predict_exact_match_for_CL": 0.0,
+  "predict_rouge1_for_CL": 50.3879,
+  "predict_eval_rougeL_for_CL": 41.3728,
+  "predict_exact_match_for_task1572_samsum_summary": 0.0,
+  "predict_rouge1_for_task1572_samsum_summary": 50.3879,
+  "predict_eval_rougeL_for_task1572_samsum_summary": 41.3728,
+  "train_runtime": 375.3924,
+  "train_samples_per_second": 6.393,
+  "train_steps_per_second": 0.2,
+  "total_flos": 2.419733437612032e+16,
+  "train_loss": 1.0816661707560222,
+  "train_samples": 160
+}

superni_order1_llama_srt/outputs/1-task1572_samsum_summary/saved_weights/lora_weights_A.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:000e7deb567646a9c3bcf8d1fe8dc691cded4d0b943e75ea349a5ad1888ec0a0
+size 2118413

superni_order1_llama_srt/outputs/1-task1572_samsum_summary/saved_weights/lora_weights_B.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6b0fe14befd0519ccc989f0b1c5548fbfd9c61e7ce9841f19458d72cf5e84398
+size 2118349

superni_order1_llama_srt/outputs/1-task1572_samsum_summary/saved_weights/srt_signatures.npz

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6e1e978739f5987279b42a1d8f9f3c4aeb884fdf3dfc77afc82d087f903ac32b
+size 266927761

superni_order1_llama_srt/outputs/1-task1572_samsum_summary/train.log

@@ -0,0 +1,176 @@
+[2026-04-29 19:26:05,126] [WARNING] [runner.py:232:fetch_hostfile] Unable to find hostfile, will proceed with training with local resources only.
+[2026-04-29 19:26:05,127] [INFO] [runner.py:630:main] cmd = /home/dev-52/miniconda3/envs/myenv/bin/python3.12 -u -m deepspeed.launcher.launch --world_info=eyJsb2NhbGhvc3QiOiBbMF19 --master_addr=127.0.0.1 --master_port=29500 --enable_each_rank_log=None --log_level=info /home/dev-52/minhnguyen/Continual/new_llama_gainlora/run_llama_gainlora_cl.py --model_name_or_path /home/dev-52/minhnguyen/Continual/Llama --data_dir /home/dev-52/minhnguyen/Continual/root_gainlora/CL_Benchmark --task_config_dir /home/dev-52/minhnguyen/Continual/new_gainlora/configs/gen_script_superni_order1_llama_configs/task1572_samsum_summary --output_dir /home/dev-52/minhnguyen/Continual/new_llama_gainlora/logs_and_outputs/superni_order1_llama_srt/outputs/1-task1572_samsum_summary --cur_task_id 0 --task_order task1572_samsum_summary,task363_sst2_polarity_classification,task1290_xsum_summarization,task181_outcome_extraction,task002_quoref_answer_generation,task1510_evalution_relation_extraction,task639_multi_woz_user_utterance_generation,task1729_personachat_generate_next,task073_commonsenseqa_answer_generation,task1590_diplomacy_text_generation,task748_glucose_reverse_cause_event_detection,task511_reddit_tifu_long_text_summarization,task591_sciq_answer_generation,task1687_sentiment140_classification,task875_emotion_classification --lora_r 4 --lora_alpha 32 --lora_dropout 0.0 --per_device_train_batch_size 1 --per_device_eval_batch_size 1 --gradient_accumulation_steps 32 --learning_rate 5e-5 --num_train_epochs 15 --max_source_length 1024 --max_target_length 50 --max_new_tokens 50 --srt_shrinkage ridge --srt_max_emb_samples 2000 --use_srt_router --gradient_checkpointing --bf16 --deepspeed /home/dev-52/minhnguyen/Continual/new_gainlora/configs/ds_configs/stage2_cpu_offload.config --logging_steps 10 --seed 42
+[2026-04-29 19:26:08,340] [INFO] [launch.py:162:main] WORLD INFO DICT: {'localhost': [0]}
+[2026-04-29 19:26:08,340] [INFO] [launch.py:168:main] nnodes=1, num_local_procs=1, node_rank=0
+[2026-04-29 19:26:08,340] [INFO] [launch.py:179:main] global_rank_mapping=defaultdict(<class 'list'>, {'localhost': [0]})
+[2026-04-29 19:26:08,340] [INFO] [launch.py:180:main] dist_world_size=1
+[2026-04-29 19:26:08,340] [INFO] [launch.py:184:main] Setting CUDA_VISIBLE_DEVICES=0
+[2026-04-29 19:26:08,340] [INFO] [launch.py:272:main] process 471369 spawned with command: ['/home/dev-52/miniconda3/envs/myenv/bin/python3.12', '-u', '/home/dev-52/minhnguyen/Continual/new_llama_gainlora/run_llama_gainlora_cl.py', '--local_rank=0', '--model_name_or_path', '/home/dev-52/minhnguyen/Continual/Llama', '--data_dir', '/home/dev-52/minhnguyen/Continual/root_gainlora/CL_Benchmark', '--task_config_dir', '/home/dev-52/minhnguyen/Continual/new_gainlora/configs/gen_script_superni_order1_llama_configs/task1572_samsum_summary', '--output_dir', '/home/dev-52/minhnguyen/Continual/new_llama_gainlora/logs_and_outputs/superni_order1_llama_srt/outputs/1-task1572_samsum_summary', '--cur_task_id', '0', '--task_order', 'task1572_samsum_summary,task363_sst2_polarity_classification,task1290_xsum_summarization,task181_outcome_extraction,task002_quoref_answer_generation,task1510_evalution_relation_extraction,task639_multi_woz_user_utterance_generation,task1729_personachat_generate_next,task073_commonsenseqa_answer_generation,task1590_diplomacy_text_generation,task748_glucose_reverse_cause_event_detection,task511_reddit_tifu_long_text_summarization,task591_sciq_answer_generation,task1687_sentiment140_classification,task875_emotion_classification', '--lora_r', '4', '--lora_alpha', '32', '--lora_dropout', '0.0', '--per_device_train_batch_size', '1', '--per_device_eval_batch_size', '1', '--gradient_accumulation_steps', '32', '--learning_rate', '5e-5', '--num_train_epochs', '15', '--max_source_length', '1024', '--max_target_length', '50', '--max_new_tokens', '50', '--srt_shrinkage', 'ridge', '--srt_max_emb_samples', '2000', '--use_srt_router', '--gradient_checkpointing', '--bf16', '--deepspeed', '/home/dev-52/minhnguyen/Continual/new_gainlora/configs/ds_configs/stage2_cpu_offload.config', '--logging_steps', '10', '--seed', '42']
+
+============================================================
+Task 0: task1572_samsum_summary
+Task order (15 tasks): ['task1572_samsum_summary', 'task363_sst2_polarity_classification', 'task1290_xsum_summarization', 'task181_outcome_extraction', 'task002_quoref_answer_generation', 'task1510_evalution_relation_extraction', 'task639_multi_woz_user_utterance_generation', 'task1729_personachat_generate_next', 'task073_commonsenseqa_answer_generation', 'task1590_diplomacy_text_generation', 'task748_glucose_reverse_cause_event_detection', 'task511_reddit_tifu_long_text_summarization', 'task591_sciq_answer_generation', 'task1687_sentiment140_classification', 'task875_emotion_classification']
+previous_lora_path: None
+srt_load_path:      None
+sgwi:               True
+============================================================
+
+/home/dev-52/minhnguyen/Continual/root_gainlora/CL_Benchmark/SuperNI/task1572_samsum_summary/train.json
+['Contributors', 'Source', 'URL', 'Categories', 'Reasoning', 'Definition', 'Input_language', 'Output_language', 'Instruction_language', 'Domains', 'Positive Examples', 'Negative Examples', 'Instances', 'Instance License']
+/home/dev-52/minhnguyen/Continual/root_gainlora/CL_Benchmark/SuperNI/task1572_samsum_summary/dev.json
+['Contributors', 'Source', 'URL', 'Categories', 'Reasoning', 'Definition', 'Input_language', 'Output_language', 'Instruction_language', 'Domains', 'Positive Examples', 'Negative Examples', 'Instances', 'Instance License']
+/home/dev-52/minhnguyen/Continual/root_gainlora/CL_Benchmark/SuperNI/task1572_samsum_summary/test.json
+['Contributors', 'Source', 'URL', 'Categories', 'Reasoning', 'Definition', 'Input_language', 'Output_language', 'Instruction_language', 'Domains', 'Positive Examples', 'Negative Examples', 'Instances', 'Instance License']
+Train/dev/test: 160/20/20
+
+LlamaForCausalLM has generative capabilities, as `prepare_inputs_for_generation` is explicitly defined. However, it doesn't directly inherit from `GenerationMixin`. From 👉v4.50👈 onwards, `PreTrainedModel` will NOT inherit from `GenerationMixin`, and this model will lose the ability to call `generate` and other related functions.
+  - If you're using `trust_remote_code=True`, you can get rid of this warning by loading the model with an auto class. See https://huggingface.co/docs/transformers/en/model_doc/auto#auto-classes
+  - If you are the owner of the model architecture code, please modify your model class such that it inherits from `GenerationMixin` (after `PreTrainedModel`, otherwise you'll get an exception).
+  - If you are not the owner of the model architecture class, please contact the model code owner to update it.
+LlamaModel has generative capabilities, as `prepare_inputs_for_generation` is explicitly defined. However, it doesn't directly inherit from `GenerationMixin`. From 👉v4.50👈 onwards, `PreTrainedModel` will NOT inherit from `GenerationMixin`, and this model will lose the ability to call `generate` and other related functions.
+  - If you're using `trust_remote_code=True`, you can get rid of this warning by loading the model with an auto class. See https://huggingface.co/docs/transformers/en/model_doc/auto#auto-classes
+  - If you are the owner of the model architecture code, please modify your model class such that it inherits from `GenerationMixin` (after `PreTrainedModel`, otherwise you'll get an exception).
+  - If you are not the owner of the model architecture class, please contact the model code owner to update it.
+[LOAD] HF checkpoint copied into custom LLaMA (allowed_missing=163)
+[FIX] Re-initialized lora_A/B in 64 LoRA layers
+[FIX] Re-initialized prompt_key ~ U(-1,1)
+[FIX] Upcast 131 trainable tensors to fp32
+Trainable: 2.920M / 6741.336M (0.04%)
+[TRAIN] step_per_epoch=5, eval_steps=25
+[SGWI] Task 0: no prior adapters, skipping warm-init.
+[RANK 0] Gradient accumulation steps mismatch: GradientAccumulationPlugin has 1, DeepSpeed config has 32. Using DeepSpeed's value.
+[2026-04-29 19:27:21,534] [WARNING] [lr_schedules.py:690:get_lr] Attempting to get learning rate from scheduler before it has started
+
  0%|          | 0/75 [00:00<?, ?it/s]
  1%|▏         | 1/75 [00:04<05:49,  4.72s/it]
  3%|▎         | 2/75 [00:08<05:01,  4.13s/it]
  4%|▍         | 3/75 [00:12<04:48,  4.01s/it]
  5%|▌         | 4/75 [00:16<04:45,  4.02s/it]
  7%|▋         | 5/75 [00:20<04:35,  3.93s/it]
  8%|▊         | 6/75 [00:24<04:43,  4.10s/it]
  9%|▉         | 7/75 [00:28<04:42,  4.16s/it]
 11%|█         | 8/75 [00:32<04:28,  4.00s/it]
 12%|█▏        | 9/75 [00:36<04:29,  4.08s/it]
 13%|█▎        | 10/75 [00:40<04:24,  4.07s/it]
                                               
+
 13%|█▎        | 10/75 [00:40<04:24,  4.07s/it]
 15%|█▍        | 11/75 [00:44<04:20,  4.07s/it]
 16%|█▌        | 12/75 [00:48<04:15,  4.05s/it]
 17%|█▋        | 13/75 [00:52<04:05,  3.96s/it]
 19%|█▊        | 14/75 [00:56<04:01,  3.96s/it]
 20%|██        | 15/75 [01:00<03:53,  3.89s/it]
 21%|██▏       | 16/75 [01:04<03:49,  3.90s/it]
 23%|██▎       | 17/75 [01:08<03:51,  3.99s/it]
 24%|██▍       | 18/75 [01:12<03:44,  3.94s/it]
 25%|██▌       | 19/75 [01:15<03:33,  3.81s/it]
 27%|██▋       | 20/75 [01:20<03:38,  3.97s/it]
                                               
+
 27%|██▋       | 20/75 [01:20<03:38,  3.97s/it]
 28%|██▊       | 21/75 [01:23<03:29,  3.88s/it]
 29%|██▉       | 22/75 [01:27<03:26,  3.89s/it]
 31%|███       | 23/75 [01:31<03:22,  3.90s/it]
 32%|███▏      | 24/75 [01:35<03:21,  3.95s/it]
 33%|███▎      | 25/75 [01:39<03:17,  3.94s/it]
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
                                                                 [EVAL] ★ New best eval_rougeL=37.1337 (step=25) — snapshot saved in memory
+
                                               
+
 33%|███▎      | 25/75 [02:10<03:17,  3.94s/it]
 35%|███▍      | 26/75 [02:14<10:41, 13.09s/it]
 36%|███▌      | 27/75 [02:17<08:13, 10.28s/it]
 37%|███▋      | 28/75 [02:22<06:40,  8.53s/it]
 39%|███▊      | 29/75 [02:26<05:30,  7.19s/it]
 40%|████      | 30/75 [02:30<04:37,  6.16s/it]
                                               
+
 40%|████      | 30/75 [02:30<04:37,  6.16s/it]
 41%|████▏     | 31/75 [02:33<03:57,  5.40s/it]
 43%|████▎     | 32/75 [02:37<03:36,  5.03s/it]
 44%|████▍     | 33/75 [02:41<03:17,  4.70s/it]
 45%|████▌     | 34/75 [02:45<03:01,  4.42s/it]
 47%|████▋     | 35/75 [02:49<02:48,  4.22s/it]
 48%|████▊     | 36/75 [02:53<02:41,  4.13s/it]
 49%|████▉     | 37/75 [02:57<02:34,  4.06s/it]
 51%|█████     | 38/75 [03:00<02:27,  3.98s/it]
 52%|█████▏    | 39/75 [03:04<02:22,  3.95s/it]
 53%|█████▎    | 40/75 [03:08<02:17,  3.94s/it]
                                               
+
 53%|█████▎    | 40/75 [03:08<02:17,  3.94s/it]
 55%|█████▍    | 41/75 [03:12<02:15,  4.00s/it]
 56%|█████▌    | 42/75 [03:16<02:09,  3.93s/it]
 57%|█████▋    | 43/75 [03:20<02:03,  3.87s/it]
 59%|█████▊    | 44/75 [03:24<01:58,  3.82s/it]
 60%|██████    | 45/75 [03:28<01:59,  3.98s/it]
 61%|██████▏   | 46/75 [03:32<01:59,  4.13s/it]
 63%|██████▎   | 47/75 [03:36<01:55,  4.13s/it]
 64%|██████▍   | 48/75 [03:40<01:45,  3.91s/it]
 65%|██████▌   | 49/75 [03:44<01:43,  3.98s/it]
 67%|██████▋   | 50/75 [03:48<01:40,  4.03s/it]
                                               
+
 67%|██████▋   | 50/75 [03:48<01:40,  4.03s/it]
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
                                                                 [EVAL] ★ New best eval_rougeL=41.3728 (step=50) — snapshot saved in memory
+
                                               
+
 67%|██████▋   | 50/75 [04:11<01:40,  4.03s/it]
 68%|██████▊   | 51/75 [04:15<04:21, 10.89s/it]
 69%|██████▉   | 52/75 [04:19<03:23,  8.83s/it]
 71%|███████   | 53/75 [04:23<02:41,  7.34s/it]
 72%|███████▏  | 54/75 [04:27<02:12,  6.29s/it]
 73%|███████▎  | 55/75 [04:31<01:50,  5.54s/it]
 75%|███████▍  | 56/75 [04:34<01:35,  5.00s/it]
 76%|███████▌  | 57/75 [04:38<01:24,  4.72s/it]
 77%|███████▋  | 58/75 [04:42<01:16,  4.49s/it]
 79%|███████▊  | 59/75 [04:46<01:08,  4.29s/it]
 80%|████████  | 60/75 [04:50<01:02,  4.17s/it]
                                               
+
 80%|████████  | 60/75 [04:50<01:02,  4.17s/it]
 81%|████████▏ | 61/75 [04:54<00:57,  4.09s/it]
 83%|████████▎ | 62/75 [04:58<00:51,  3.97s/it]
 84%|████████▍ | 63/75 [05:01<00:46,  3.90s/it]
 85%|████████▌ | 64/75 [05:05<00:43,  3.93s/it]
 87%|████████▋ | 65/75 [05:10<00:40,  4.05s/it]
 88%|████████▊ | 66/75 [05:14<00:36,  4.07s/it]
 89%|████████▉ | 67/75 [05:18<00:32,  4.10s/it]
 91%|█████████ | 68/75 [05:22<00:28,  4.13s/it]
 92%|█████████▏| 69/75 [05:26<00:24,  4.15s/it]
 93%|█████████▎| 70/75 [05:30<00:20,  4.08s/it]
                                               
+
 93%|█████████▎| 70/75 [05:30<00:20,  4.08s/it]
 95%|█████████▍| 71/75 [05:34<00:16,  4.05s/it]
 96%|█████████▌| 72/75 [05:38<00:11,  3.95s/it]
 97%|█████████▋| 73/75 [05:42<00:08,  4.00s/it]
 99%|█████████▊| 74/75 [05:46<00:04,  4.02s/it]
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
                                                                 [EVAL] eval_rougeL=40.6301 (best=41.3728)
+
                                               
+
                                               
+
+***** train metrics *****
+  epoch                    =       15.0
+  total_flos               = 22535523GF
+  train_loss               =     1.0817
+  train_runtime            = 0:06:15.39
+  train_samples            =        160
+  train_samples_per_second =      6.393
+  train_steps_per_second   =        0.2
+  [EVAL] Restored best model (eval_rougeL=41.3728, 128 tensors)
+[SAVE] LoRA weights → /home/dev-52/minhnguyen/Continual/new_llama_gainlora/logs_and_outputs/superni_order1_llama_srt/outputs/1-task1572_samsum_summary/saved_weights
+[SRT] Loading frozen backbone from /home/dev-52/minhnguyen/Continual/Llama …
+
+[SRT] Frozen backbone attached (moved to cuda:0).
+  [SRT] → Forward extraction (160 samples, batch_size=1)
+  [SRT] Task 'task1572_samsum_summary': PaR=3376.9, shrinkage=ridge, n=160
+  [SRT] Wired router: 1 sigs, cur=task1572_samsum_summary, mapping={'task1572_samsum_summary': 0}
+[SRT] Router: 1 tasks, avg_PaR=3376.9, metrics=['ridge']
+  [SRT] Saved signatures → /home/dev-52/minhnguyen/Continual/new_llama_gainlora/logs_and_outputs/superni_order1_llama_srt/outputs/1-task1572_samsum_summary/saved_weights/srt_signatures.npz
+*** Prediction ***
+/home/dev-52/minhnguyen/Continual/root_gainlora/CL_Benchmark/SuperNI/task1572_samsum_summary/test.json
+['Contributors', 'Source', 'URL', 'Categories', 'Reasoning', 'Definition', 'Input_language', 'Output_language', 'Instruction_language', 'Domains', 'Positive Examples', 'Negative Examples', 'Instances', 'Instance License']
+  [SRT-INIT] router tasks=['task1572_samsum_summary']
+  [SRT-INIT] task_id_to_idx={'task1572_samsum_summary': 0}
+  [SRT-INIT] use_srt_routing=True
+  [SRT-INIT] encoder_frozen=FrozenLlamaExtractor
+
+
+
+  ┌──────────────────────────────────────────────────────────────────────────────────────────────────┐
+  │           SRT ROUTING ACCURACY SUMMARY                                                      │
+  ├──────────────────────────────────────────────────────────────────────────────────────────────────┤
+  │  GT=task1572_samsum_summary           slot_acc=100.0%  label_acc=100.0%  disagree=  0  [slot0=20]│
+  ├──────────────────────────────────────────────────────────────────────────────────────────────────┤
+  │  OVERALL: slot_acc=100.0% ( 20/ 20)  label_acc=100.0% ( 20/ 20)  disagree=  0                    │
+  └──────────────────────────────────────────────────────────────────────────────────────────────────┘
+***** predict metrics *****
+  epoch                                           =       15.0
+  predict_eval_rougeL                             =    41.3728
+  predict_eval_rougeL_for_CL                      =    41.3728
+  predict_eval_rougeL_for_task1572_samsum_summary =    41.3728
+  predict_exact_match                             =        0.0
+  predict_exact_match_for_CL                      =        0.0
+  predict_exact_match_for_task1572_samsum_summary =        0.0
+  predict_gen_len                                 =      27.35
+  predict_global_step                             =         75
+  predict_rouge1                                  =    50.3879
+  predict_rouge1_for_CL                           =    50.3879
+  predict_rouge1_for_task1572_samsum_summary      =    50.3879
+  predict_runtime                                 = 0:00:42.18
+  predict_samples                                 =         20
+  predict_samples_per_second                      =      0.474
+  predict_steps_per_second                        =      0.474
+[2026-04-29 19:34:52,405] [INFO] [launch.py:367:main] Process 471369 exits successfully.

superni_order1_llama_srt/outputs/10-task1590_diplomacy_text_generation/all_results.json

@@ -0,0 +1,51 @@
+{
+  "predict_exact_match": 49.6413,
+  "predict_rouge1": 61.2565,
+  "predict_eval_rougeL": 59.7787,
+  "predict_gen_len": 8.1894,
+  "predict_runtime": 664.7405987819657,
+  "predict_samples": 697,
+  "predict_samples_per_second": 1.049,
+  "predict_steps_per_second": 1.049,
+  "epoch": 15.0,
+  "predict_global_step": 60,
+  "predict_exact_match_for_CL": 49.6413,
+  "predict_rouge1_for_CL": 61.2565,
+  "predict_eval_rougeL_for_CL": 59.7787,
+  "predict_exact_match_for_task1572_samsum_summary": 0.0,
+  "predict_rouge1_for_task1572_samsum_summary": 50.3879,
+  "predict_eval_rougeL_for_task1572_samsum_summary": 41.3728,
+  "predict_exact_match_for_task363_sst2_polarity_classification": 91.0,
+  "predict_rouge1_for_task363_sst2_polarity_classification": 91.0,
+  "predict_eval_rougeL_for_task363_sst2_polarity_classification": 91.0,
+  "predict_exact_match_for_task1290_xsum_summarization": 0.0,
+  "predict_rouge1_for_task1290_xsum_summarization": 36.75,
+  "predict_eval_rougeL_for_task1290_xsum_summarization": 29.5925,
+  "predict_exact_match_for_task181_outcome_extraction": 53.4884,
+  "predict_rouge1_for_task181_outcome_extraction": 59.354,
+  "predict_eval_rougeL_for_task181_outcome_extraction": 59.354,
+  "predict_exact_match_for_task002_quoref_answer_generation": 70.0,
+  "predict_rouge1_for_task002_quoref_answer_generation": 76.381,
+  "predict_eval_rougeL_for_task002_quoref_answer_generation": 76.381,
+  "predict_exact_match_for_task1510_evalution_relation_extraction": 98.0,
+  "predict_rouge1_for_task1510_evalution_relation_extraction": 99.1333,
+  "predict_eval_rougeL_for_task1510_evalution_relation_extraction": 99.1333,
+  "predict_exact_match_for_task639_multi_woz_user_utterance_generation": 0.0,
+  "predict_rouge1_for_task639_multi_woz_user_utterance_generation": 15.2912,
+  "predict_eval_rougeL_for_task639_multi_woz_user_utterance_generation": 15.2912,
+  "predict_exact_match_for_task1729_personachat_generate_next": 0.0,
+  "predict_rouge1_for_task1729_personachat_generate_next": 19.1341,
+  "predict_eval_rougeL_for_task1729_personachat_generate_next": 18.2202,
+  "predict_exact_match_for_task073_commonsenseqa_answer_generation": 64.0,
+  "predict_rouge1_for_task073_commonsenseqa_answer_generation": 64.0,
+  "predict_eval_rougeL_for_task073_commonsenseqa_answer_generation": 64.0,
+  "predict_exact_match_for_task1590_diplomacy_text_generation": 0.0,
+  "predict_rouge1_for_task1590_diplomacy_text_generation": 13.7971,
+  "predict_eval_rougeL_for_task1590_diplomacy_text_generation": 11.1335,
+  "train_runtime": 385.9215,
+  "train_samples_per_second": 4.897,
+  "train_steps_per_second": 0.155,
+  "total_flos": 2.264373813628109e+16,
+  "train_loss": 2.9621963183085125,
+  "train_samples": 126
+}

superni_order1_llama_srt/outputs/10-task1590_diplomacy_text_generation/saved_weights/lora_weights_A.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c1dd81db47388972d50f87f7e6bac06b3f2f6817e70b484ad0cd45e7b335f407
+size 2118413

superni_order1_llama_srt/outputs/10-task1590_diplomacy_text_generation/saved_weights/lora_weights_B.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:db385665eab6b66c41a794e1254714d218fc73aaa2f458994801044dcc6b788c
+size 2118349

superni_order1_llama_srt/outputs/10-task1590_diplomacy_text_generation/saved_weights/srt_signatures.npz

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:73e1e5734116c6c51499132c6c7f6cb4699e452ca79dd5669c5f33dae42bdd1b
+size 1573363363

superni_order1_llama_srt/outputs/11-task748_glucose_reverse_cause_event_detection/all_results.json

@@ -0,0 +1,54 @@
+{
+  "predict_exact_match": 43.7892,
+  "predict_rouge1": 62.2164,
+  "predict_eval_rougeL": 60.6727,
+  "predict_gen_len": 9.808,
+  "predict_runtime": 835.6393646709621,
+  "predict_samples": 797,
+  "predict_samples_per_second": 0.954,
+  "predict_steps_per_second": 0.954,
+  "epoch": 15.0,
+  "predict_global_step": 480,
+  "predict_exact_match_for_CL": 43.7892,
+  "predict_rouge1_for_CL": 62.2164,
+  "predict_eval_rougeL_for_CL": 60.6727,
+  "predict_exact_match_for_task1572_samsum_summary": 0.0,
+  "predict_rouge1_for_task1572_samsum_summary": 50.3879,
+  "predict_eval_rougeL_for_task1572_samsum_summary": 41.3728,
+  "predict_exact_match_for_task363_sst2_polarity_classification": 91.0,
+  "predict_rouge1_for_task363_sst2_polarity_classification": 91.0,
+  "predict_eval_rougeL_for_task363_sst2_polarity_classification": 91.0,
+  "predict_exact_match_for_task1290_xsum_summarization": 0.0,
+  "predict_rouge1_for_task1290_xsum_summarization": 36.75,
+  "predict_eval_rougeL_for_task1290_xsum_summarization": 29.5925,
+  "predict_exact_match_for_task181_outcome_extraction": 53.4884,
+  "predict_rouge1_for_task181_outcome_extraction": 59.354,
+  "predict_eval_rougeL_for_task181_outcome_extraction": 59.354,
+  "predict_exact_match_for_task002_quoref_answer_generation": 70.0,
+  "predict_rouge1_for_task002_quoref_answer_generation": 76.381,
+  "predict_eval_rougeL_for_task002_quoref_answer_generation": 76.381,
+  "predict_exact_match_for_task1510_evalution_relation_extraction": 98.0,
+  "predict_rouge1_for_task1510_evalution_relation_extraction": 99.1333,
+  "predict_eval_rougeL_for_task1510_evalution_relation_extraction": 99.1333,
+  "predict_exact_match_for_task639_multi_woz_user_utterance_generation": 0.0,
+  "predict_rouge1_for_task639_multi_woz_user_utterance_generation": 15.2912,
+  "predict_eval_rougeL_for_task639_multi_woz_user_utterance_generation": 15.2912,
+  "predict_exact_match_for_task1729_personachat_generate_next": 0.0,
+  "predict_rouge1_for_task1729_personachat_generate_next": 19.1341,
+  "predict_eval_rougeL_for_task1729_personachat_generate_next": 18.2202,
+  "predict_exact_match_for_task073_commonsenseqa_answer_generation": 64.0,
+  "predict_rouge1_for_task073_commonsenseqa_answer_generation": 64.0,
+  "predict_eval_rougeL_for_task073_commonsenseqa_answer_generation": 64.0,
+  "predict_exact_match_for_task1590_diplomacy_text_generation": 0.0,
+  "predict_rouge1_for_task1590_diplomacy_text_generation": 13.7971,
+  "predict_eval_rougeL_for_task1590_diplomacy_text_generation": 11.1335,
+  "predict_exact_match_for_task748_glucose_reverse_cause_event_detection": 3.0,
+  "predict_rouge1_for_task748_glucose_reverse_cause_event_detection": 68.907,
+  "predict_eval_rougeL_for_task748_glucose_reverse_cause_event_detection": 66.9039,
+  "train_runtime": 2375.7951,
+  "train_samples_per_second": 6.314,
+  "train_steps_per_second": 0.202,
+  "total_flos": 1.2176157685946778e+17,
+  "train_loss": 0.5081466535727183,
+  "train_samples": 1000
+}

superni_order1_llama_srt/outputs/11-task748_glucose_reverse_cause_event_detection/saved_weights/lora_weights_A.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:847fa1dff0c1aa7eebef6955a524c064e5eccec1294d5e3a6c60ff489dc9da7a
+size 2118413

superni_order1_llama_srt/outputs/11-task748_glucose_reverse_cause_event_detection/saved_weights/lora_weights_B.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6df5c4b5ac7cc7353efe7e2722cb07f483c5814823dc48558372f3d0efdb71ad
+size 2118349

superni_order1_llama_srt/outputs/11-task748_glucose_reverse_cause_event_detection/saved_weights/srt_signatures.npz

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7952e207d7c410c9b6c38bfb14a7939fedf132b3f2ce199d1fccd36ad83b4728
+size 1718692693

superni_order1_llama_srt/outputs/12-task511_reddit_tifu_long_text_summarization/all_results.json

@@ -0,0 +1,57 @@
+{
+  "predict_exact_match": 39.019,
+  "predict_rouge1": 58.134,
+  "predict_eval_rougeL": 56.2843,
+  "predict_gen_len": 10.8517,
+  "predict_runtime": 1144.777478321921,
+  "predict_samples": 897,
+  "predict_samples_per_second": 0.784,
+  "predict_steps_per_second": 0.784,
+  "epoch": 15.0,
+  "predict_global_step": 480,
+  "predict_exact_match_for_CL": 39.019,
+  "predict_rouge1_for_CL": 58.134,
+  "predict_eval_rougeL_for_CL": 56.2843,
+  "predict_exact_match_for_task1572_samsum_summary": 0.0,
+  "predict_rouge1_for_task1572_samsum_summary": 50.3879,
+  "predict_eval_rougeL_for_task1572_samsum_summary": 41.3728,
+  "predict_exact_match_for_task363_sst2_polarity_classification": 91.0,
+  "predict_rouge1_for_task363_sst2_polarity_classification": 91.0,
+  "predict_eval_rougeL_for_task363_sst2_polarity_classification": 91.0,
+  "predict_exact_match_for_task1290_xsum_summarization": 0.0,
+  "predict_rouge1_for_task1290_xsum_summarization": 36.75,
+  "predict_eval_rougeL_for_task1290_xsum_summarization": 29.5925,
+  "predict_exact_match_for_task181_outcome_extraction": 53.4884,
+  "predict_rouge1_for_task181_outcome_extraction": 59.354,
+  "predict_eval_rougeL_for_task181_outcome_extraction": 59.354,
+  "predict_exact_match_for_task002_quoref_answer_generation": 70.0,
+  "predict_rouge1_for_task002_quoref_answer_generation": 76.381,
+  "predict_eval_rougeL_for_task002_quoref_answer_generation": 76.381,
+  "predict_exact_match_for_task1510_evalution_relation_extraction": 98.0,
+  "predict_rouge1_for_task1510_evalution_relation_extraction": 99.1333,
+  "predict_eval_rougeL_for_task1510_evalution_relation_extraction": 99.1333,
+  "predict_exact_match_for_task639_multi_woz_user_utterance_generation": 0.0,
+  "predict_rouge1_for_task639_multi_woz_user_utterance_generation": 15.2912,
+  "predict_eval_rougeL_for_task639_multi_woz_user_utterance_generation": 15.2912,
+  "predict_exact_match_for_task1729_personachat_generate_next": 0.0,
+  "predict_rouge1_for_task1729_personachat_generate_next": 19.1341,
+  "predict_eval_rougeL_for_task1729_personachat_generate_next": 18.2202,
+  "predict_exact_match_for_task073_commonsenseqa_answer_generation": 64.0,
+  "predict_rouge1_for_task073_commonsenseqa_answer_generation": 64.0,
+  "predict_eval_rougeL_for_task073_commonsenseqa_answer_generation": 64.0,
+  "predict_exact_match_for_task1590_diplomacy_text_generation": 0.0,
+  "predict_rouge1_for_task1590_diplomacy_text_generation": 13.7971,
+  "predict_eval_rougeL_for_task1590_diplomacy_text_generation": 11.1335,
+  "predict_exact_match_for_task748_glucose_reverse_cause_event_detection": 3.0,
+  "predict_rouge1_for_task748_glucose_reverse_cause_event_detection": 68.907,
+  "predict_eval_rougeL_for_task748_glucose_reverse_cause_event_detection": 66.9039,
+  "predict_exact_match_for_task511_reddit_tifu_long_text_summarization": 1.0,
+  "predict_rouge1_for_task511_reddit_tifu_long_text_summarization": 25.5967,
+  "predict_eval_rougeL_for_task511_reddit_tifu_long_text_summarization": 21.3091,
+  "train_runtime": 4617.6579,
+  "train_samples_per_second": 3.248,
+  "train_steps_per_second": 0.104,
+  "total_flos": 3.477434868726497e+17,
+  "train_loss": 2.010433729489644,
+  "train_samples": 1000
+}

superni_order1_llama_srt/outputs/12-task511_reddit_tifu_long_text_summarization/saved_weights/lora_weights_A.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c6c76e27af422c30337bb2a410726f747f6940556441453548d7cec89bd702ca
+size 2118413

superni_order1_llama_srt/outputs/12-task511_reddit_tifu_long_text_summarization/saved_weights/lora_weights_B.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a9578ecc953a28bd0f70fc7b73a9505d5464d9b217f7ab9cf8827cb4a2481e35
+size 2118349

superni_order1_llama_srt/outputs/12-task511_reddit_tifu_long_text_summarization/saved_weights/srt_signatures.npz

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9bf0a95045b70ca6bdd6fe1d884836bd71abb1aee64971e475906f3cbfbbe8cf
+size 1864040766

superni_order1_llama_srt/outputs/13-task591_sciq_answer_generation/all_results.json

@@ -0,0 +1,60 @@
+{
+  "predict_exact_match": 41.1234,
+  "predict_rouge1": 59.6657,
+  "predict_eval_rougeL": 57.9347,
+  "predict_gen_len": 10.01,
+  "predict_runtime": 1184.3730858399067,
+  "predict_samples": 997,
+  "predict_samples_per_second": 0.842,
+  "predict_steps_per_second": 0.842,
+  "epoch": 15.0,
+  "predict_global_step": 480,
+  "predict_exact_match_for_CL": 41.1234,
+  "predict_rouge1_for_CL": 59.6657,
+  "predict_eval_rougeL_for_CL": 57.9347,
+  "predict_exact_match_for_task1572_samsum_summary": 0.0,
+  "predict_rouge1_for_task1572_samsum_summary": 50.3879,
+  "predict_eval_rougeL_for_task1572_samsum_summary": 41.3728,
+  "predict_exact_match_for_task363_sst2_polarity_classification": 91.0,
+  "predict_rouge1_for_task363_sst2_polarity_classification": 91.0,
+  "predict_eval_rougeL_for_task363_sst2_polarity_classification": 91.0,
+  "predict_exact_match_for_task1290_xsum_summarization": 0.0,
+  "predict_rouge1_for_task1290_xsum_summarization": 36.75,
+  "predict_eval_rougeL_for_task1290_xsum_summarization": 29.5925,
+  "predict_exact_match_for_task181_outcome_extraction": 53.4884,
+  "predict_rouge1_for_task181_outcome_extraction": 59.354,
+  "predict_eval_rougeL_for_task181_outcome_extraction": 59.354,
+  "predict_exact_match_for_task002_quoref_answer_generation": 70.0,
+  "predict_rouge1_for_task002_quoref_answer_generation": 76.381,
+  "predict_eval_rougeL_for_task002_quoref_answer_generation": 76.381,
+  "predict_exact_match_for_task1510_evalution_relation_extraction": 98.0,
+  "predict_rouge1_for_task1510_evalution_relation_extraction": 99.1333,
+  "predict_eval_rougeL_for_task1510_evalution_relation_extraction": 99.1333,
+  "predict_exact_match_for_task639_multi_woz_user_utterance_generation": 0.0,
+  "predict_rouge1_for_task639_multi_woz_user_utterance_generation": 15.2912,
+  "predict_eval_rougeL_for_task639_multi_woz_user_utterance_generation": 15.2912,
+  "predict_exact_match_for_task1729_personachat_generate_next": 0.0,
+  "predict_rouge1_for_task1729_personachat_generate_next": 19.1341,
+  "predict_eval_rougeL_for_task1729_personachat_generate_next": 18.2202,
+  "predict_exact_match_for_task073_commonsenseqa_answer_generation": 64.0,
+  "predict_rouge1_for_task073_commonsenseqa_answer_generation": 64.0,
+  "predict_eval_rougeL_for_task073_commonsenseqa_answer_generation": 64.0,
+  "predict_exact_match_for_task1590_diplomacy_text_generation": 0.0,
+  "predict_rouge1_for_task1590_diplomacy_text_generation": 13.7971,
+  "predict_eval_rougeL_for_task1590_diplomacy_text_generation": 11.1335,
+  "predict_exact_match_for_task748_glucose_reverse_cause_event_detection": 3.0,
+  "predict_rouge1_for_task748_glucose_reverse_cause_event_detection": 68.907,
+  "predict_eval_rougeL_for_task748_glucose_reverse_cause_event_detection": 66.9039,
+  "predict_exact_match_for_task511_reddit_tifu_long_text_summarization": 1.0,
+  "predict_rouge1_for_task511_reddit_tifu_long_text_summarization": 25.5967,
+  "predict_eval_rougeL_for_task511_reddit_tifu_long_text_summarization": 21.3091,
+  "predict_exact_match_for_task591_sciq_answer_generation": 60.0,
+  "predict_rouge1_for_task591_sciq_answer_generation": 73.4048,
+  "predict_eval_rougeL_for_task591_sciq_answer_generation": 72.7381,
+  "train_runtime": 2277.1504,
+  "train_samples_per_second": 6.587,
+  "train_steps_per_second": 0.211,
+  "total_flos": 2.99874549497856e+16,
+  "train_loss": 0.7412465025981267,
+  "train_samples": 1000
+}

superni_order1_llama_srt/outputs/13-task591_sciq_answer_generation/saved_weights/lora_weights_A.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0a61f722a875867ce1ae5fef4d7a16e72d7effb30ca91d99857e583c5f5b606a
+size 2118413

superni_order1_llama_srt/outputs/13-task591_sciq_answer_generation/saved_weights/lora_weights_B.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:642f53cb126391025ad66319850c2bea519349433958f087a86f634cd46f1074
+size 2118349

superni_order1_llama_srt/outputs/13-task591_sciq_answer_generation/saved_weights/srt_signatures.npz

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:11a209faef91a2c0f440b58847d0b0f68d6977d6efeeda9f0df784618d9c13b0
+size 2009159940

superni_order1_llama_srt/outputs/14-task1687_sentiment140_classification/all_results.json

@@ -0,0 +1,63 @@
+{
+  "predict_exact_match": 45.0319,
+  "predict_rouge1": 61.8839,
+  "predict_eval_rougeL": 60.3107,
+  "predict_gen_len": 9.1887,
+  "predict_runtime": 1215.3494530417956,
+  "predict_samples": 1097,
+  "predict_samples_per_second": 0.903,
+  "predict_steps_per_second": 0.903,
+  "epoch": 15.0,
+  "predict_global_step": 480,
+  "predict_exact_match_for_CL": 45.0319,
+  "predict_rouge1_for_CL": 61.8839,
+  "predict_eval_rougeL_for_CL": 60.3107,
+  "predict_exact_match_for_task1572_samsum_summary": 0.0,
+  "predict_rouge1_for_task1572_samsum_summary": 50.3879,
+  "predict_eval_rougeL_for_task1572_samsum_summary": 41.3728,
+  "predict_exact_match_for_task363_sst2_polarity_classification": 91.0,
+  "predict_rouge1_for_task363_sst2_polarity_classification": 91.0,
+  "predict_eval_rougeL_for_task363_sst2_polarity_classification": 91.0,
+  "predict_exact_match_for_task1290_xsum_summarization": 0.0,
+  "predict_rouge1_for_task1290_xsum_summarization": 36.75,
+  "predict_eval_rougeL_for_task1290_xsum_summarization": 29.5925,
+  "predict_exact_match_for_task181_outcome_extraction": 53.4884,
+  "predict_rouge1_for_task181_outcome_extraction": 59.354,
+  "predict_eval_rougeL_for_task181_outcome_extraction": 59.354,
+  "predict_exact_match_for_task002_quoref_answer_generation": 70.0,
+  "predict_rouge1_for_task002_quoref_answer_generation": 76.381,
+  "predict_eval_rougeL_for_task002_quoref_answer_generation": 76.381,
+  "predict_exact_match_for_task1510_evalution_relation_extraction": 98.0,
+  "predict_rouge1_for_task1510_evalution_relation_extraction": 99.1333,
+  "predict_eval_rougeL_for_task1510_evalution_relation_extraction": 99.1333,
+  "predict_exact_match_for_task639_multi_woz_user_utterance_generation": 0.0,
+  "predict_rouge1_for_task639_multi_woz_user_utterance_generation": 15.2912,
+  "predict_eval_rougeL_for_task639_multi_woz_user_utterance_generation": 15.2912,
+  "predict_exact_match_for_task1729_personachat_generate_next": 0.0,
+  "predict_rouge1_for_task1729_personachat_generate_next": 19.1341,
+  "predict_eval_rougeL_for_task1729_personachat_generate_next": 18.2202,
+  "predict_exact_match_for_task073_commonsenseqa_answer_generation": 64.0,
+  "predict_rouge1_for_task073_commonsenseqa_answer_generation": 64.0,
+  "predict_eval_rougeL_for_task073_commonsenseqa_answer_generation": 64.0,
+  "predict_exact_match_for_task1590_diplomacy_text_generation": 0.0,
+  "predict_rouge1_for_task1590_diplomacy_text_generation": 13.7971,
+  "predict_eval_rougeL_for_task1590_diplomacy_text_generation": 11.1335,
+  "predict_exact_match_for_task748_glucose_reverse_cause_event_detection": 3.0,
+  "predict_rouge1_for_task748_glucose_reverse_cause_event_detection": 68.907,
+  "predict_eval_rougeL_for_task748_glucose_reverse_cause_event_detection": 66.9039,
+  "predict_exact_match_for_task511_reddit_tifu_long_text_summarization": 1.0,
+  "predict_rouge1_for_task511_reddit_tifu_long_text_summarization": 25.5967,
+  "predict_eval_rougeL_for_task511_reddit_tifu_long_text_summarization": 21.3091,
+  "predict_exact_match_for_task591_sciq_answer_generation": 60.0,
+  "predict_rouge1_for_task591_sciq_answer_generation": 73.4048,
+  "predict_eval_rougeL_for_task591_sciq_answer_generation": 72.7381,
+  "predict_exact_match_for_task1687_sentiment140_classification": 84.0,
+  "predict_rouge1_for_task1687_sentiment140_classification": 84.0,
+  "predict_eval_rougeL_for_task1687_sentiment140_classification": 84.0,
+  "train_runtime": 2373.6732,
+  "train_samples_per_second": 6.319,
+  "train_steps_per_second": 0.202,
+  "total_flos": 5.019504126355046e+16,
+  "train_loss": 0.3057432758311431,
+  "train_samples": 1000
+}

superni_order1_llama_srt/outputs/14-task1687_sentiment140_classification/saved_weights/lora_weights_A.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0fd00c3d29d44e3dfa9157f8d2cf3e751b41f4a2354c3072d31782c3b60cb400
+size 2118413

superni_order1_llama_srt/outputs/14-task1687_sentiment140_classification/saved_weights/lora_weights_B.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9c5db1ac1b9e34103b18c2f0a73686c759e4c3f3629287080156a9566cdddeb1
+size 2118349

superni_order1_llama_srt/outputs/14-task1687_sentiment140_classification/saved_weights/srt_signatures.npz

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1d4171884b0486d7f141fff7533eff3324f6abde52cb8584150d164ed10acad7
+size 2154720573

superni_order1_llama_srt/outputs/15-task875_emotion_classification/all_results.json

@@ -0,0 +1,66 @@
+{
+  "predict_exact_match": 47.3684,
+  "predict_rouge1": 62.8126,
+  "predict_eval_rougeL": 61.3708,
+  "predict_gen_len": 8.523,
+  "predict_runtime": 1249.5441576598678,
+  "predict_samples": 1197,
+  "predict_samples_per_second": 0.958,
+  "predict_steps_per_second": 0.958,
+  "epoch": 15.0,
+  "predict_global_step": 480,
+  "predict_exact_match_for_CL": 47.3684,
+  "predict_rouge1_for_CL": 62.8126,
+  "predict_eval_rougeL_for_CL": 61.3708,
+  "predict_exact_match_for_task1572_samsum_summary": 0.0,
+  "predict_rouge1_for_task1572_samsum_summary": 50.3879,
+  "predict_eval_rougeL_for_task1572_samsum_summary": 41.3728,
+  "predict_exact_match_for_task363_sst2_polarity_classification": 91.0,
+  "predict_rouge1_for_task363_sst2_polarity_classification": 91.0,
+  "predict_eval_rougeL_for_task363_sst2_polarity_classification": 91.0,
+  "predict_exact_match_for_task1290_xsum_summarization": 0.0,
+  "predict_rouge1_for_task1290_xsum_summarization": 36.75,
+  "predict_eval_rougeL_for_task1290_xsum_summarization": 29.5925,
+  "predict_exact_match_for_task181_outcome_extraction": 53.4884,
+  "predict_rouge1_for_task181_outcome_extraction": 59.354,
+  "predict_eval_rougeL_for_task181_outcome_extraction": 59.354,
+  "predict_exact_match_for_task002_quoref_answer_generation": 70.0,
+  "predict_rouge1_for_task002_quoref_answer_generation": 76.381,
+  "predict_eval_rougeL_for_task002_quoref_answer_generation": 76.381,
+  "predict_exact_match_for_task1510_evalution_relation_extraction": 98.0,
+  "predict_rouge1_for_task1510_evalution_relation_extraction": 99.1333,
+  "predict_eval_rougeL_for_task1510_evalution_relation_extraction": 99.1333,
+  "predict_exact_match_for_task639_multi_woz_user_utterance_generation": 0.0,
+  "predict_rouge1_for_task639_multi_woz_user_utterance_generation": 15.2912,
+  "predict_eval_rougeL_for_task639_multi_woz_user_utterance_generation": 15.2912,
+  "predict_exact_match_for_task1729_personachat_generate_next": 0.0,
+  "predict_rouge1_for_task1729_personachat_generate_next": 19.1341,
+  "predict_eval_rougeL_for_task1729_personachat_generate_next": 18.2202,
+  "predict_exact_match_for_task073_commonsenseqa_answer_generation": 64.0,
+  "predict_rouge1_for_task073_commonsenseqa_answer_generation": 64.0,
+  "predict_eval_rougeL_for_task073_commonsenseqa_answer_generation": 64.0,
+  "predict_exact_match_for_task1590_diplomacy_text_generation": 0.0,
+  "predict_rouge1_for_task1590_diplomacy_text_generation": 13.7971,
+  "predict_eval_rougeL_for_task1590_diplomacy_text_generation": 11.1335,
+  "predict_exact_match_for_task748_glucose_reverse_cause_event_detection": 3.0,
+  "predict_rouge1_for_task748_glucose_reverse_cause_event_detection": 68.907,
+  "predict_eval_rougeL_for_task748_glucose_reverse_cause_event_detection": 66.9039,
+  "predict_exact_match_for_task511_reddit_tifu_long_text_summarization": 1.0,
+  "predict_rouge1_for_task511_reddit_tifu_long_text_summarization": 25.5967,
+  "predict_eval_rougeL_for_task511_reddit_tifu_long_text_summarization": 21.3091,
+  "predict_exact_match_for_task591_sciq_answer_generation": 60.0,
+  "predict_rouge1_for_task591_sciq_answer_generation": 73.4048,
+  "predict_eval_rougeL_for_task591_sciq_answer_generation": 72.7381,
+  "predict_exact_match_for_task1687_sentiment140_classification": 84.0,
+  "predict_rouge1_for_task1687_sentiment140_classification": 84.0,
+  "predict_eval_rougeL_for_task1687_sentiment140_classification": 84.0,
+  "predict_exact_match_for_task875_emotion_classification": 73.0,
+  "predict_rouge1_for_task875_emotion_classification": 73.0,
+  "predict_eval_rougeL_for_task875_emotion_classification": 73.0,
+  "train_runtime": 2457.492,
+  "train_samples_per_second": 6.104,
+  "train_steps_per_second": 0.195,
+  "total_flos": 5.441245561015501e+16,
+  "train_loss": 0.5571656028429667,
+  "train_samples": 1000
+}

superni_order1_llama_srt/outputs/15-task875_emotion_classification/saved_weights/lora_weights_A.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:df3502005949993d999273a6597f58ff388ea0f42ecad1ed50b2c97b9bdcb50c
+size 2118413

superni_order1_llama_srt/outputs/15-task875_emotion_classification/saved_weights/lora_weights_B.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:236a554f4f03dd8e0bf8337cf3a5dcfe00f5f1d3736226935de5e57d36d60f8d
+size 2118349

superni_order1_llama_srt/outputs/15-task875_emotion_classification/saved_weights/srt_signatures.npz

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1479d7426a57786411a46d3f3fee046ef61eacf05a5049acdda40f7820805c97
+size 2300106287

superni_order1_llama_srt/outputs/2-task363_sst2_polarity_classification/all_results.json

@@ -0,0 +1,27 @@
+{
+  "predict_exact_match": 75.8333,
+  "predict_rouge1": 84.2313,
+  "predict_eval_rougeL": 82.7288,
+  "predict_gen_len": 6.225,
+  "predict_runtime": 55.69839199515991,
+  "predict_samples": 120,
+  "predict_samples_per_second": 2.154,
+  "predict_steps_per_second": 2.154,
+  "epoch": 15.0,
+  "predict_global_step": 480,
+  "predict_exact_match_for_CL": 75.8333,
+  "predict_rouge1_for_CL": 84.2313,
+  "predict_eval_rougeL_for_CL": 82.7288,
+  "predict_exact_match_for_task1572_samsum_summary": 0.0,
+  "predict_rouge1_for_task1572_samsum_summary": 50.3879,
+  "predict_eval_rougeL_for_task1572_samsum_summary": 41.3728,
+  "predict_exact_match_for_task363_sst2_polarity_classification": 91.0,
+  "predict_rouge1_for_task363_sst2_polarity_classification": 91.0,
+  "predict_eval_rougeL_for_task363_sst2_polarity_classification": 91.0,
+  "train_runtime": 1512.249,
+  "train_samples_per_second": 9.919,
+  "train_steps_per_second": 0.317,
+  "total_flos": 5.460993820642509e+16,
+  "train_loss": 0.16749076483150324,
+  "train_samples": 1000
+}

superni_order1_llama_srt/outputs/2-task363_sst2_polarity_classification/saved_weights/lora_weights_A.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:10ec2f6aaa981e910feaf66627161ae13b40169c542da1f7473ff0c62664b578
+size 2118413

superni_order1_llama_srt/outputs/2-task363_sst2_polarity_classification/saved_weights/lora_weights_B.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f339760dcc45e9aee2f5f4dad2fccfa2e17b9cf9c22dec33da278ab273f9f960
+size 2118349

superni_order1_llama_srt/outputs/2-task363_sst2_polarity_classification/saved_weights/srt_signatures.npz

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:94246c512940ebc63215a05bfc1daedd420ee9de3b1aece20184e0bdf5165048
+size 412018738

superni_order1_llama_srt/outputs/2-task363_sst2_polarity_classification/train.log

@@ -0,0 +1,324 @@
+[2026-04-29 19:34:58,332] [WARNING] [runner.py:232:fetch_hostfile] Unable to find hostfile, will proceed with training with local resources only.
+[2026-04-29 19:34:58,332] [INFO] [runner.py:630:main] cmd = /home/dev-52/miniconda3/envs/myenv/bin/python3.12 -u -m deepspeed.launcher.launch --world_info=eyJsb2NhbGhvc3QiOiBbMF19 --master_addr=127.0.0.1 --master_port=29501 --enable_each_rank_log=None --log_level=info /home/dev-52/minhnguyen/Continual/new_llama_gainlora/run_llama_gainlora_cl.py --model_name_or_path /home/dev-52/minhnguyen/Continual/Llama --data_dir /home/dev-52/minhnguyen/Continual/root_gainlora/CL_Benchmark --task_config_dir /home/dev-52/minhnguyen/Continual/new_gainlora/configs/gen_script_superni_order1_llama_configs/task363_sst2_polarity_classification --output_dir /home/dev-52/minhnguyen/Continual/new_llama_gainlora/logs_and_outputs/superni_order1_llama_srt/outputs/2-task363_sst2_polarity_classification --cur_task_id 1 --task_order task1572_samsum_summary,task363_sst2_polarity_classification,task1290_xsum_summarization,task181_outcome_extraction,task002_quoref_answer_generation,task1510_evalution_relation_extraction,task639_multi_woz_user_utterance_generation,task1729_personachat_generate_next,task073_commonsenseqa_answer_generation,task1590_diplomacy_text_generation,task748_glucose_reverse_cause_event_detection,task511_reddit_tifu_long_text_summarization,task591_sciq_answer_generation,task1687_sentiment140_classification,task875_emotion_classification --lora_r 4 --lora_alpha 32 --lora_dropout 0.0 --per_device_train_batch_size 1 --per_device_eval_batch_size 1 --gradient_accumulation_steps 32 --learning_rate 5e-5 --num_train_epochs 15 --max_source_length 1024 --max_target_length 50 --max_new_tokens 50 --srt_shrinkage ridge --srt_max_emb_samples 2000 --use_srt_router --gradient_checkpointing --bf16 --deepspeed /home/dev-52/minhnguyen/Continual/new_gainlora/configs/ds_configs/stage2_cpu_offload.config --logging_steps 10 --seed 42 --previous_lora_path /home/dev-52/minhnguyen/Continual/new_llama_gainlora/logs_and_outputs/superni_order1_llama_srt/outputs/1-task1572_samsum_summary/saved_weights --srt_load_path /home/dev-52/minhnguyen/Continual/new_llama_gainlora/logs_and_outputs/superni_order1_llama_srt/outputs/1-task1572_samsum_summary/saved_weights
+[2026-04-29 19:35:01,645] [INFO] [launch.py:162:main] WORLD INFO DICT: {'localhost': [0]}
+[2026-04-29 19:35:01,646] [INFO] [launch.py:168:main] nnodes=1, num_local_procs=1, node_rank=0
+[2026-04-29 19:35:01,646] [INFO] [launch.py:179:main] global_rank_mapping=defaultdict(<class 'list'>, {'localhost': [0]})
+[2026-04-29 19:35:01,646] [INFO] [launch.py:180:main] dist_world_size=1
+[2026-04-29 19:35:01,646] [INFO] [launch.py:184:main] Setting CUDA_VISIBLE_DEVICES=0
+[2026-04-29 19:35:01,646] [INFO] [launch.py:272:main] process 492775 spawned with command: ['/home/dev-52/miniconda3/envs/myenv/bin/python3.12', '-u', '/home/dev-52/minhnguyen/Continual/new_llama_gainlora/run_llama_gainlora_cl.py', '--local_rank=0', '--model_name_or_path', '/home/dev-52/minhnguyen/Continual/Llama', '--data_dir', '/home/dev-52/minhnguyen/Continual/root_gainlora/CL_Benchmark', '--task_config_dir', '/home/dev-52/minhnguyen/Continual/new_gainlora/configs/gen_script_superni_order1_llama_configs/task363_sst2_polarity_classification', '--output_dir', '/home/dev-52/minhnguyen/Continual/new_llama_gainlora/logs_and_outputs/superni_order1_llama_srt/outputs/2-task363_sst2_polarity_classification', '--cur_task_id', '1', '--task_order', 'task1572_samsum_summary,task363_sst2_polarity_classification,task1290_xsum_summarization,task181_outcome_extraction,task002_quoref_answer_generation,task1510_evalution_relation_extraction,task639_multi_woz_user_utterance_generation,task1729_personachat_generate_next,task073_commonsenseqa_answer_generation,task1590_diplomacy_text_generation,task748_glucose_reverse_cause_event_detection,task511_reddit_tifu_long_text_summarization,task591_sciq_answer_generation,task1687_sentiment140_classification,task875_emotion_classification', '--lora_r', '4', '--lora_alpha', '32', '--lora_dropout', '0.0', '--per_device_train_batch_size', '1', '--per_device_eval_batch_size', '1', '--gradient_accumulation_steps', '32', '--learning_rate', '5e-5', '--num_train_epochs', '15', '--max_source_length', '1024', '--max_target_length', '50', '--max_new_tokens', '50', '--srt_shrinkage', 'ridge', '--srt_max_emb_samples', '2000', '--use_srt_router', '--gradient_checkpointing', '--bf16', '--deepspeed', '/home/dev-52/minhnguyen/Continual/new_gainlora/configs/ds_configs/stage2_cpu_offload.config', '--logging_steps', '10', '--seed', '42', '--previous_lora_path', '/home/dev-52/minhnguyen/Continual/new_llama_gainlora/logs_and_outputs/superni_order1_llama_srt/outputs/1-task1572_samsum_summary/saved_weights', '--srt_load_path', '/home/dev-52/minhnguyen/Continual/new_llama_gainlora/logs_and_outputs/superni_order1_llama_srt/outputs/1-task1572_samsum_summary/saved_weights']
+
+============================================================
+Task 1: task363_sst2_polarity_classification
+Task order (15 tasks): ['task1572_samsum_summary', 'task363_sst2_polarity_classification', 'task1290_xsum_summarization', 'task181_outcome_extraction', 'task002_quoref_answer_generation', 'task1510_evalution_relation_extraction', 'task639_multi_woz_user_utterance_generation', 'task1729_personachat_generate_next', 'task073_commonsenseqa_answer_generation', 'task1590_diplomacy_text_generation', 'task748_glucose_reverse_cause_event_detection', 'task511_reddit_tifu_long_text_summarization', 'task591_sciq_answer_generation', 'task1687_sentiment140_classification', 'task875_emotion_classification']
+previous_lora_path: /home/dev-52/minhnguyen/Continual/new_llama_gainlora/logs_and_outputs/superni_order1_llama_srt/outputs/1-task1572_samsum_summary/saved_weights
+srt_load_path:      /home/dev-52/minhnguyen/Continual/new_llama_gainlora/logs_and_outputs/superni_order1_llama_srt/outputs/1-task1572_samsum_summary/saved_weights
+sgwi:               True
+============================================================
+
+/home/dev-52/minhnguyen/Continual/root_gainlora/CL_Benchmark/SuperNI/task363_sst2_polarity_classification/train.json
+['URL', 'Categories', 'Input_language', 'Output_language', 'Instruction_language', 'Domains', 'Positive Examples', 'Negative Examples', 'Instances', 'Definition']
+/home/dev-52/minhnguyen/Continual/root_gainlora/CL_Benchmark/SuperNI/task363_sst2_polarity_classification/dev.json
+['URL', 'Categories', 'Input_language', 'Output_language', 'Instruction_language', 'Domains', 'Positive Examples', 'Negative Examples', 'Instances', 'Definition']
+/home/dev-52/minhnguyen/Continual/root_gainlora/CL_Benchmark/SuperNI/task1572_samsum_summary/test.json
+['Contributors', 'Source', 'URL', 'Categories', 'Reasoning', 'Definition', 'Input_language', 'Output_language', 'Instruction_language', 'Domains', 'Positive Examples', 'Negative Examples', 'Instances', 'Instance License']
+/home/dev-52/minhnguyen/Continual/root_gainlora/CL_Benchmark/SuperNI/task363_sst2_polarity_classification/test.json
+['URL', 'Categories', 'Input_language', 'Output_language', 'Instruction_language', 'Domains', 'Positive Examples', 'Negative Examples', 'Instances', 'Definition']
+Train/dev/test: 1000/100/120
+
+LlamaForCausalLM has generative capabilities, as `prepare_inputs_for_generation` is explicitly defined. However, it doesn't directly inherit from `GenerationMixin`. From 👉v4.50👈 onwards, `PreTrainedModel` will NOT inherit from `GenerationMixin`, and this model will lose the ability to call `generate` and other related functions.
+  - If you're using `trust_remote_code=True`, you can get rid of this warning by loading the model with an auto class. See https://huggingface.co/docs/transformers/en/model_doc/auto#auto-classes
+  - If you are the owner of the model architecture code, please modify your model class such that it inherits from `GenerationMixin` (after `PreTrainedModel`, otherwise you'll get an exception).
+  - If you are not the owner of the model architecture class, please contact the model code owner to update it.
+LlamaModel has generative capabilities, as `prepare_inputs_for_generation` is explicitly defined. However, it doesn't directly inherit from `GenerationMixin`. From 👉v4.50👈 onwards, `PreTrainedModel` will NOT inherit from `GenerationMixin`, and this model will lose the ability to call `generate` and other related functions.
+  - If you're using `trust_remote_code=True`, you can get rid of this warning by loading the model with an auto class. See https://huggingface.co/docs/transformers/en/model_doc/auto#auto-classes
+  - If you are the owner of the model architecture code, please modify your model class such that it inherits from `GenerationMixin` (after `PreTrainedModel`, otherwise you'll get an exception).
+  - If you are not the owner of the model architecture class, please contact the model code owner to update it.
+[LOAD] HF checkpoint copied into custom LLaMA (allowed_missing=291)
+[FIX] Re-initialized lora_A/B in 128 LoRA layers
+[FIX] Re-initialized prompt_key ~ U(-1,1)
+[FIX] n_slots: dummy previous_prompts_keys shape=(1, 4096)
+[PREV-LORA] Loaded slot[0] ← /home/dev-52/minhnguyen/Continual/new_llama_gainlora/logs_and_outputs/superni_order1_llama_srt/outputs/1-task1572_samsum_summary/saved_weights
+[PREV-LORA] Moved 1 past adapters to CPU
+[FIX] Upcast 131 trainable tensors to fp32
+Trainable: 2.920M / 6743.437M (0.04%)
+[TRAIN] step_per_epoch=32, eval_steps=160
+  [SRT] Loaded 1 signatures from /home/dev-52/minhnguyen/Continual/new_llama_gainlora/logs_and_outputs/superni_order1_llama_srt/outputs/1-task1572_samsum_summary/saved_weights/srt_signatures.npz
+  [SRT] Wired router: 1 sigs, cur=task363_sst2_polarity_classification, mapping={'task363_sst2_polarity_classification': 0, 'task1572_samsum_summary': 1}
+[SGWI] Task 1: computing SRT weights for warm-init…
+  [SRT] WARNING: encoder_frozen not attached. Returning empty embeddings.
+[SGWI] No SRT weights available. Skipping warm-init.
+[RANK 0] Gradient accumulation steps mismatch: GradientAccumulationPlugin has 1, DeepSpeed config has 32. Using DeepSpeed's value.
+[2026-04-29 19:35:54,482] [WARNING] [lr_schedules.py:690:get_lr] Attempting to get learning rate from scheduler before it has started
+
  0%|          | 0/480 [00:00<?, ?it/s]
  0%|          | 1/480 [00:03<28:02,  3.51s/it]
  0%|          | 2/480 [00:06<26:14,  3.29s/it]
  1%|          | 3/480 [00:09<26:21,  3.32s/it]
  1%|          | 4/480 [00:13<25:49,  3.26s/it]
  1%|          | 5/480 [00:16<25:01,  3.16s/it]
  1%|▏         | 6/480 [00:19<25:13,  3.19s/it]
  1%|▏         | 7/480 [00:22<25:07,  3.19s/it]
  2%|▏         | 8/480 [00:25<25:06,  3.19s/it]
  2%|▏         | 9/480 [00:29<25:13,  3.21s/it]
  2%|▏         | 10/480 [00:32<25:05,  3.20s/it]
                                                
+
  2%|▏         | 10/480 [00:32<25:05,  3.20s/it]
  2%|▏         | 11/480 [00:35<25:03,  3.21s/it]
  2%|▎         | 12/480 [00:38<25:11,  3.23s/it]
  3%|▎         | 13/480 [00:41<25:06,  3.23s/it]
  3%|▎         | 14/480 [00:45<25:36,  3.30s/it]
  3%|▎         | 15/480 [00:48<24:51,  3.21s/it]
  3%|▎         | 16/480 [00:51<24:43,  3.20s/it]
  4%|▎         | 17/480 [00:54<25:00,  3.24s/it]
  4%|▍         | 18/480 [00:58<25:18,  3.29s/it]
  4%|▍         | 19/480 [01:01<24:58,  3.25s/it]
  4%|▍         | 20/480 [01:04<24:43,  3.23s/it]
                                                
+
  4%|▍         | 20/480 [01:04<24:43,  3.23s/it]
  4%|▍         | 21/480 [01:07<24:51,  3.25s/it]
  5%|▍         | 22/480 [01:11<24:53,  3.26s/it]
  5%|▍         | 23/480 [01:14<24:14,  3.18s/it]
  5%|▌         | 24/480 [01:17<24:09,  3.18s/it]
  5%|▌         | 25/480 [01:20<23:41,  3.12s/it]
  5%|▌         | 26/480 [01:23<23:38,  3.12s/it]
  6%|▌         | 27/480 [01:26<23:40,  3.14s/it]
  6%|▌         | 28/480 [01:29<23:19,  3.10s/it]
  6%|▌         | 29/480 [01:32<23:42,  3.15s/it]
  6%|▋         | 30/480 [01:35<23:19,  3.11s/it]
                                                
+
  6%|▋         | 30/480 [01:35<23:19,  3.11s/it]
  6%|▋         | 31/480 [01:39<23:25,  3.13s/it]
  7%|▋         | 32/480 [01:39<18:04,  2.42s/it]
  7%|▋         | 33/480 [01:43<19:51,  2.67s/it]
  7%|▋         | 34/480 [01:46<20:37,  2.77s/it]
  7%|▋         | 35/480 [01:49<21:29,  2.90s/it]
  8%|▊         | 36/480 [01:52<22:07,  2.99s/it]
  8%|▊         | 37/480 [01:55<22:44,  3.08s/it]
  8%|▊         | 38/480 [01:59<22:55,  3.11s/it]
  8%|▊         | 39/480 [02:02<23:24,  3.18s/it]
  8%|▊         | 40/480 [02:05<23:10,  3.16s/it]
                                                
+
  8%|▊         | 40/480 [02:05<23:10,  3.16s/it]
  9%|▊         | 41/480 [02:08<22:47,  3.11s/it]
  9%|▉         | 42/480 [02:11<22:36,  3.10s/it]
  9%|▉         | 43/480 [02:14<22:38,  3.11s/it]
  9%|▉         | 44/480 [02:17<22:23,  3.08s/it]
  9%|▉         | 45/480 [02:20<22:12,  3.06s/it]
 10%|▉         | 46/480 [02:23<22:05,  3.05s/it]
 10%|▉         | 47/480 [02:27<22:47,  3.16s/it]
 10%|█         | 48/480 [02:30<22:25,  3.11s/it]
 10%|█         | 49/480 [02:33<22:10,  3.09s/it]
 10%|█         | 50/480 [02:36<22:10,  3.10s/it]
                                                
+
 10%|█         | 50/480 [02:36<22:10,  3.10s/it]
 11%|█         | 51/480 [02:39<22:19,  3.12s/it]
 11%|█         | 52/480 [02:42<22:07,  3.10s/it]
 11%|█         | 53/480 [02:45<22:10,  3.12s/it]
 11%|█▏        | 54/480 [02:49<23:04,  3.25s/it]
 11%|█▏        | 55/480 [02:52<23:03,  3.26s/it]
 12%|█▏        | 56/480 [02:55<22:33,  3.19s/it]
 12%|█▏        | 57/480 [02:58<22:42,  3.22s/it]
 12%|█▏        | 58/480 [03:02<22:38,  3.22s/it]
 12%|█▏        | 59/480 [03:05<22:10,  3.16s/it]
 12%|█▎        | 60/480 [03:08<22:22,  3.20s/it]
                                                
+
 12%|█▎        | 60/480 [03:08<22:22,  3.20s/it]
 13%|█▎        | 61/480 [03:11<22:19,  3.20s/it]
 13%|█▎        | 62/480 [03:14<22:15,  3.19s/it]
 13%|█▎        | 63/480 [03:18<22:40,  3.26s/it]
 13%|█▎        | 64/480 [03:19<17:28,  2.52s/it]
 14%|█▎        | 65/480 [03:22<18:53,  2.73s/it]
 14%|█▍        | 66/480 [03:25<19:48,  2.87s/it]
 14%|█▍        | 67/480 [03:28<20:44,  3.01s/it]
 14%|█▍        | 68/480 [03:31<20:48,  3.03s/it]
 14%|█▍        | 69/480 [03:34<20:46,  3.03s/it]
 15%|█▍        | 70/480 [03:37<20:47,  3.04s/it]
                                                
+
 15%|█▍        | 70/480 [03:37<20:47,  3.04s/it]
 15%|█▍        | 71/480 [03:41<20:52,  3.06s/it]
 15%|█▌        | 72/480 [03:44<20:45,  3.05s/it]
 15%|█▌        | 73/480 [03:47<20:41,  3.05s/it]
 15%|█▌        | 74/480 [03:50<21:10,  3.13s/it]
 16%|█▌        | 75/480 [03:54<22:23,  3.32s/it]
 16%|█▌        | 76/480 [03:57<21:47,  3.24s/it]
 16%|█▌        | 77/480 [04:00<21:36,  3.22s/it]
 16%|█▋        | 78/480 [04:03<21:10,  3.16s/it]
 16%|█▋        | 79/480 [04:06<21:11,  3.17s/it]
 17%|█▋        | 80/480 [04:09<20:52,  3.13s/it]
                                                
+
 17%|█▋        | 80/480 [04:09<20:52,  3.13s/it]
 17%|█▋        | 81/480 [04:12<21:07,  3.18s/it]
 17%|█▋        | 82/480 [04:16<21:06,  3.18s/it]
 17%|█▋        | 83/480 [04:19<20:46,  3.14s/it]
 18%|█▊        | 84/480 [04:22<21:04,  3.19s/it]
 18%|█▊        | 85/480 [04:25<20:48,  3.16s/it]
 18%|█▊        | 86/480 [04:28<20:49,  3.17s/it]
 18%|█▊        | 87/480 [04:32<21:05,  3.22s/it]
 18%|█▊        | 88/480 [04:35<20:45,  3.18s/it]
 19%|█▊        | 89/480 [04:38<20:45,  3.18s/it]
 19%|█▉        | 90/480 [04:41<20:47,  3.20s/it]
                                                
+
 19%|█▉        | 90/480 [04:41<20:47,  3.20s/it]
 19%|█▉        | 91/480 [04:45<21:49,  3.37s/it]
 19%|█▉        | 92/480 [04:48<21:29,  3.32s/it]
 19%|█▉        | 93/480 [04:52<22:03,  3.42s/it]
 20%|█▉        | 94/480 [04:55<21:15,  3.31s/it]
 20%|█▉        | 95/480 [04:58<20:41,  3.22s/it]
 20%|██        | 96/480 [04:59<15:55,  2.49s/it]
 20%|██        | 97/480 [05:02<16:54,  2.65s/it]
 20%|██        | 98/480 [05:05<17:55,  2.82s/it]
 21%|██        | 99/480 [05:08<18:17,  2.88s/it]
 21%|██        | 100/480 [05:11<18:31,  2.93s/it]
                                                 
+
 21%|██        | 100/480 [05:11<18:31,  2.93s/it]
 21%|██        | 101/480 [05:14<18:49,  2.98s/it]
 21%|██▏       | 102/480 [05:17<19:11,  3.05s/it]
 21%|██▏       | 103/480 [05:20<19:08,  3.05s/it]
 22%|██▏       | 104/480 [05:23<19:09,  3.06s/it]
 22%|██▏       | 105/480 [05:26<19:07,  3.06s/it]
 22%|██▏       | 106/480 [05:30<19:19,  3.10s/it]
 22%|██▏       | 107/480 [05:33<19:08,  3.08s/it]
 22%|██▎       | 108/480 [05:36<19:10,  3.09s/it]
 23%|██▎       | 109/480 [05:39<19:19,  3.12s/it]
 23%|██▎       | 110/480 [05:42<19:05,  3.10s/it]
                                                 
+
 23%|██▎       | 110/480 [05:42<19:05,  3.10s/it]
 23%|██▎       | 111/480 [05:45<19:28,  3.17s/it]
 23%|██▎       | 112/480 [05:48<19:10,  3.13s/it]
 24%|██▎       | 113/480 [05:52<19:48,  3.24s/it]
 24%|██▍       | 114/480 [05:55<19:28,  3.19s/it]
 24%|██▍       | 115/480 [05:58<19:33,  3.22s/it]
 24%|██▍       | 116/480 [06:01<19:28,  3.21s/it]
 24%|██▍       | 117/480 [06:05<19:24,  3.21s/it]
 25%|██▍       | 118/480 [06:08<19:31,  3.24s/it]
 25%|██▍       | 119/480 [06:11<19:26,  3.23s/it]
 25%|██▌       | 120/480 [06:14<19:20,  3.22s/it]
                                                 
+
 25%|██▌       | 120/480 [06:14<19:20,  3.22s/it]
 25%|██▌       | 121/480 [06:18<19:41,  3.29s/it]
 25%|██▌       | 122/480 [06:21<19:40,  3.30s/it]
 26%|██▌       | 123/480 [06:24<19:08,  3.22s/it]
 26%|��█▌       | 124/480 [06:28<19:26,  3.28s/it]
 26%|██▌       | 125/480 [06:31<18:58,  3.21s/it]
 26%|██▋       | 126/480 [06:34<18:36,  3.15s/it]
 26%|██▋       | 127/480 [06:37<18:21,  3.12s/it]
 27%|██▋       | 128/480 [06:38<14:29,  2.47s/it]
 27%|██▋       | 129/480 [06:41<15:49,  2.70s/it]
 27%|██▋       | 130/480 [06:44<16:21,  2.80s/it]
                                                 
+
 27%|██▋       | 130/480 [06:44<16:21,  2.80s/it]
 27%|██▋       | 131/480 [06:47<16:42,  2.87s/it]
 28%|██▊       | 132/480 [06:50<17:14,  2.97s/it]
 28%|██▊       | 133/480 [06:53<17:30,  3.03s/it]
 28%|██▊       | 134/480 [06:57<17:48,  3.09s/it]
 28%|██▊       | 135/480 [07:00<17:52,  3.11s/it]
 28%|██▊       | 136/480 [07:03<17:41,  3.09s/it]
 29%|██▊       | 137/480 [07:06<17:49,  3.12s/it]
 29%|██▉       | 138/480 [07:09<17:54,  3.14s/it]
 29%|██▉       | 139/480 [07:12<17:58,  3.16s/it]
 29%|██▉       | 140/480 [07:15<17:53,  3.16s/it]
                                                 
+
 29%|██▉       | 140/480 [07:15<17:53,  3.16s/it]
 29%|██▉       | 141/480 [07:19<18:52,  3.34s/it]
 30%|██▉       | 142/480 [07:23<18:50,  3.35s/it]
 30%|██▉       | 143/480 [07:26<18:32,  3.30s/it]
 30%|███       | 144/480 [07:29<18:03,  3.23s/it]
 30%|███       | 145/480 [07:32<18:07,  3.25s/it]
 30%|███       | 146/480 [07:36<18:27,  3.31s/it]
 31%|███       | 147/480 [07:39<19:09,  3.45s/it]
 31%|███       | 148/480 [07:43<18:57,  3.43s/it]
 31%|███       | 149/480 [07:46<18:15,  3.31s/it]
 31%|███▏      | 150/480 [07:49<17:54,  3.26s/it]
                                                 
+
 31%|███▏      | 150/480 [07:49<17:54,  3.26s/it]
 31%|███▏      | 151/480 [07:52<18:05,  3.30s/it]
 32%|███▏      | 152/480 [07:55<17:36,  3.22s/it]
 32%|███▏      | 153/480 [07:58<17:14,  3.16s/it]
 32%|███▏      | 154/480 [08:02<17:21,  3.20s/it]
 32%|███▏      | 155/480 [08:05<17:03,  3.15s/it]
 32%|███▎      | 156/480 [08:08<17:04,  3.16s/it]
 33%|███▎      | 157/480 [08:11<16:48,  3.12s/it]
 33%|███▎      | 158/480 [08:14<16:44,  3.12s/it]
 33%|███▎      | 159/480 [08:17<16:33,  3.09s/it]
 33%|███▎      | 160/480 [08:18<12:50,  2.41s/it]
                                                 
+
 33%|███▎      | 160/480 [08:18<12:50,  2.41s/it]
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
                                                                    [EVAL] ★ New best eval_rougeL=86.0000 (step=160) — snapshot saved in memory
+
                                                 
+
 33%|███▎      | 160/480 [08:25<12:50,  2.41s/it]
 34%|███▎      | 161/480 [08:28<25:33,  4.81s/it]
 34%|███▍      | 162/480 [08:32<23:11,  4.38s/it]
 34%|███▍      | 163/480 [08:35<21:28,  4.06s/it]
 34%|███▍      | 164/480 [08:38<19:45,  3.75s/it]
 34%|███▍      | 165/480 [08:41<18:34,  3.54s/it]
 35%|███▍      | 166/480 [08:44<17:51,  3.41s/it]
 35%|███▍      | 167/480 [08:47<17:17,  3.31s/it]
 35%|███▌      | 168/480 [08:50<16:46,  3.23s/it]
 35%|███▌      | 169/480 [08:53<16:29,  3.18s/it]
 35%|███▌      | 170/480 [08:57<16:23,  3.17s/it]
                                                 
+
 35%|███▌      | 170/480 [08:57<16:23,  3.17s/it]
 36%|███▌      | 171/480 [09:00<16:22,  3.18s/it]
 36%|███▌      | 172/480 [09:03<16:04,  3.13s/it]
 36%|███▌      | 173/480 [09:06<15:58,  3.12s/it]
 36%|███▋      | 174/480 [09:09<15:53,  3.12s/it]
 36%|███▋      | 175/480 [09:12<15:56,  3.14s/it]
 37%|███▋      | 176/480 [09:15<15:47,  3.12s/it]
 37%|███▋      | 177/480 [09:18<15:48,  3.13s/it]
 37%|███▋      | 178/480 [09:22<15:51,  3.15s/it]
 37%|███▋      | 179/480 [09:25<15:37,  3.11s/it]
 38%|███▊      | 180/480 [09:28<15:51,  3.17s/it]
                                                 
+
 38%|███▊      | 180/480 [09:28<15:51,  3.17s/it]
 38%|███▊      | 181/480 [09:31<15:37,  3.14s/it]
 38%|███▊      | 182/480 [09:34<15:39,  3.15s/it]
 38%|███▊      | 183/480 [09:37<15:34,  3.15s/it]
 38%|███▊      | 184/480 [09:40<15:38,  3.17s/it]
 39%|███▊      | 185/480 [09:44<15:37,  3.18s/it]
 39%|███▉      | 186/480 [09:47<15:39,  3.19s/it]
 39%|███▉      | 187/480 [09:50<15:46,  3.23s/it]
 39%|███▉      | 188/480 [09:53<15:42,  3.23s/it]
 39%|███▉      | 189/480 [09:57<15:40,  3.23s/it]
 40%|███▉      | 190/480 [10:00<15:40,  3.24s/it]
                                                 
+
 40%|███▉      | 190/480 [10:00<15:40,  3.24s/it]
 40%|███▉      | 191/480 [10:03<15:18,  3.18s/it]
 40%|████      | 192/480 [10:04<11:47,  2.46s/it]
 40%|████      | 193/480 [10:07<12:33,  2.63s/it]
 40%|████      | 194/480 [10:10<13:16,  2.79s/it]
 41%|████      | 195/480 [10:13<13:58,  2.94s/it]
 41%|████      | 196/480 [10:16<14:19,  3.03s/it]
 41%|████      | 197/480 [10:20<14:27,  3.07s/it]
 41%|████▏     | 198/480 [10:23<14:41,  3.13s/it]
 41%|████▏     | 199/480 [10:26<14:29,  3.10s/it]
 42%|████▏     | 200/480 [10:29<14:22,  3.08s/it]
                                                 
+
 42%|████▏     | 200/480 [10:29<14:22,  3.08s/it]
 42%|████▏     | 201/480 [10:32<14:24,  3.10s/it]
 42%|████▏     | 202/480 [10:35<14:15,  3.08s/it]
 42%|████▏     | 203/480 [10:38<14:23,  3.12s/it]
 42%|████▎     | 204/480 [10:42<14:26,  3.14s/it]
 43%|████▎     | 205/480 [10:45<14:15,  3.11s/it]
 43%|████▎     | 206/480 [10:48<14:19,  3.14s/it]
 43%|████▎     | 207/480 [10:51<14:17,  3.14s/it]
 43%|████▎     | 208/480 [10:54<14:21,  3.17s/it]
 44%|████▎     | 209/480 [10:57<14:11,  3.14s/it]
 44%|████▍     | 210/480 [11:00<14:13,  3.16s/it]
                                                 
+
 44%|████▍     | 210/480 [11:00<14:13,  3.16s/it]
 44%|████▍     | 211/480 [11:04<14:21,  3.20s/it]
 44%|████▍     | 212/480 [11:07<14:18,  3.20s/it]
 44%|████▍     | 213/480 [11:10<14:02,  3.16s/it]
 45%|████▍     | 214/480 [11:13<14:17,  3.22s/it]
 45%|████▍     | 215/480 [11:17<14:14,  3.22s/it]
 45%|████▌     | 216/480 [11:20<14:23,  3.27s/it]
 45%|████▌     | 217/480 [11:23<14:30,  3.31s/it]
 45%|████▌     | 218/480 [11:26<14:05,  3.23s/it]
 46%|████▌     | 219/480 [11:29<13:47,  3.17s/it]
 46%|████▌     | 220/480 [11:33<13:54,  3.21s/it]
                                                 
+
 46%|████▌     | 220/480 [11:33<13:54,  3.21s/it]
 46%|████▌     | 221/480 [11:36<13:38,  3.16s/it]
 46%|████▋     | 222/480 [11:39<13:25,  3.12s/it]
 46%|████▋     | 223/480 [11:42<13:20,  3.11s/it]
 47%|████▋     | 224/480 [11:43<10:17,  2.41s/it]
 47%|████▋     | 225/480 [11:46<11:06,  2.61s/it]
 47%|████▋     | 226/480 [11:49<11:49,  2.79s/it]
 47%|████▋     | 227/480 [11:52<12:06,  2.87s/it]
 48%|████▊     | 228/480 [11:55<12:23,  2.95s/it]
 48%|████▊     | 229/480 [11:58<12:31,  3.00s/it]
 48%|████▊     | 230/480 [12:01<12:44,  3.06s/it]
                                                 
+
 48%|████▊     | 230/480 [12:01<12:44,  3.06s/it]
 48%|████▊     | 231/480 [12:05<12:51,  3.10s/it]
 48%|████▊     | 232/480 [12:08<12:45,  3.09s/it]
 49%|████▊     | 233/480 [12:11<12:51,  3.12s/it]
 49%|████▉     | 234/480 [12:14<12:42,  3.10s/it]
 49%|████▉     | 235/480 [12:17<13:01,  3.19s/it]
 49%|████▉     | 236/480 [12:20<12:47,  3.15s/it]
 49%|████▉     | 237/480 [12:24<12:48,  3.16s/it]
 50%|████▉     | 238/480 [12:27<12:56,  3.21s/it]
 50%|████▉     | 239/480 [12:30<12:42,  3.16s/it]
 50%|█████     | 240/480 [12:33<12:42,  3.18s/it]
                                                 
+
 50%|█████     | 240/480 [12:33<12:42,  3.18s/it]
 50%|█████     | 241/480 [12:37<12:56,  3.25s/it]
 50%|█████     | 242/480 [12:40<12:50,  3.24s/it]
 51%|█████     | 243/480 [12:43<12:45,  3.23s/it]
 51%|█████     | 244/480 [12:46<12:53,  3.28s/it]
 51%|█████     | 245/480 [12:50<12:45,  3.26s/it]
 51%|█████▏    | 246/480 [12:53<12:25,  3.19s/it]
 51%|█████▏    | 247/480 [12:56<12:12,  3.15s/it]
 52%|█████▏    | 248/480 [12:59<12:29,  3.23s/it]
 52%|█████▏    | 249/480 [13:03<12:40,  3.29s/it]
 52%|█████▏    | 250/480 [13:06<12:27,  3.25s/it]
                                                 
+
 52%|█████▏    | 250/480 [13:06<12:27,  3.25s/it]
 52%|█████▏    | 251/480 [13:09<12:18,  3.23s/it]
 52%|█████▎    | 252/480 [13:12<12:13,  3.22s/it]
 53%|█████▎    | 253/480 [13:15<11:59,  3.17s/it]
 53%|█████▎    | 254/480 [13:18<11:55,  3.16s/it]
 53%|█████▎    | 255/480 [13:21<11:43,  3.13s/it]
 53%|█████▎    | 256/480 [13:22<09:01,  2.42s/it]
 54%|█████▎    | 257/480 [13:25<09:51,  2.65s/it]
 54%|█████▍    | 258/480 [13:28<10:15,  2.77s/it]
 54%|█████▍    | 259/480 [13:31<10:33,  2.87s/it]
 54%|█████▍    | 260/480 [13:35<10:52,  2.97s/it]
                                                 
+
 54%|█████▍    | 260/480 [13:35<10:52,  2.97s/it]
 54%|█████▍    | 261/480 [13:38<10:54,  2.99s/it]
 55%|█████▍    | 262/480 [13:41<11:03,  3.04s/it]
 55%|█████▍    | 263/480 [13:44<11:10,  3.09s/it]
 55%|█████▌    | 264/480 [13:47<11:14,  3.12s/it]
 55%|█████▌    | 265/480 [13:51<11:18,  3.16s/it]
 55%|█████▌    | 266/480 [13:54<11:18,  3.17s/it]
 56%|█████▌    | 267/480 [13:57<11:18,  3.19s/it]
 56%|█████▌    | 268/480 [14:00<11:31,  3.26s/it]
 56%|█████▌    | 269/480 [14:04<11:29,  3.27s/it]
 56%|█████▋    | 270/480 [14:07<11:24,  3.26s/it]
                                                 
+
 56%|█████▋    | 270/480 [14:07<11:24,  3.26s/it]
 56%|█████▋    | 271/480 [14:10<11:20,  3.26s/it]
 57%|█████▋    | 272/480 [14:14<11:26,  3.30s/it]
 57%|█████▋    | 273/480 [14:17<11:07,  3.22s/it]
 57%|█████▋    | 274/480 [14:20<10:52,  3.17s/it]
 57%|█████▋    | 275/480 [14:23<10:50,  3.17s/it]
 57%|█████▊    | 276/480 [14:26<10:38,  3.13s/it]
 58%|█████▊    | 277/480 [14:29<10:29,  3.10s/it]
 58%|█████▊    | 278/480 [14:32<10:27,  3.11s/it]
 58%|█████▊    | 279/480 [14:35<10:20,  3.09s/it]
 58%|█████▊    | 280/480 [14:38<10:25,  3.13s/it]
                                                 
+
 58%|█████▊    | 280/480 [14:38<10:25,  3.13s/it]
 59%|█████▊    | 281/480 [14:41<10:16,  3.10s/it]
 59%|█████▉    | 282/480 [14:45<10:22,  3.14s/it]
 59%|█████▉    | 283/480 [14:48<10:12,  3.11s/it]
 59%|█████▉    | 284/480 [14:51<10:15,  3.14s/it]
 59%|█████▉    | 285/480 [14:54<10:11,  3.13s/it]
 60%|█████▉    | 286/480 [14:57<10:03,  3.11s/it]
 60%|█████▉    | 287/480 [15:00<10:08,  3.15s/it]
 60%|██████    | 288/480 [15:01<07:48,  2.44s/it]
 60%|██████    | 289/480 [15:04<08:22,  2.63s/it]
 60%|██████    | 290/480 [15:07<08:53,  2.81s/it]
                                                 
+
 60%|██████    | 290/480 [15:07<08:53,  2.81s/it]
 61%|██████    | 291/480 [15:10<09:03,  2.88s/it]
 61%|██████    | 292/480 [15:14<09:25,  3.01s/it]
 61%|██████    | 293/480 [15:17<09:40,  3.11s/it]
 61%|██████▏   | 294/480 [15:20<09:36,  3.10s/it]
 61%|██████▏   | 295/480 [15:23<09:48,  3.18s/it]
 62%|██████▏   | 296/480 [15:27<09:55,  3.24s/it]
 62%|██████▏   | 297/480 [15:30<09:51,  3.23s/it]
 62%|██████▏   | 298/480 [15:33<09:46,  3.22s/it]
 62%|██████▏   | 299/480 [15:37<10:02,  3.33s/it]
 62%|██████▎   | 300/480 [15:40<09:42,  3.24s/it]
                                                 
+
 62%|██████▎   | 300/480 [15:40<09:42,  3.24s/it]
 63%|██████▎   | 301/480 [15:43<09:28,  3.18s/it]
 63%|██████▎   | 302/480 [15:46<09:24,  3.17s/it]
 63%|██████▎   | 303/480 [15:49<09:13,  3.13s/it]
 63%|██████▎   | 304/480 [15:52<09:05,  3.10s/it]
 64%|██████▎   | 305/480 [15:55<08:58,  3.08s/it]
 64%|██████▍   | 306/480 [15:58<09:03,  3.12s/it]
 64%|██████▍   | 307/480 [16:02<09:07,  3.16s/it]
 64%|██████▍   | 308/480 [16:05<08:57,  3.12s/it]
 64%|██████▍   | 309/480 [16:08<08:54,  3.12s/it]
 65%|██████▍   | 310/480 [16:11<08:46,  3.10s/it]
                                                 
+
 65%|██████▍   | 310/480 [16:11<08:46,  3.10s/it]
 65%|██████▍   | 311/480 [16:14<08:48,  3.13s/it]
 65%|██████▌   | 312/480 [16:17<08:41,  3.10s/it]
 65%|██████▌   | 313/480 [16:20<08:44,  3.14s/it]
 65%|██████▌   | 314/480 [16:23<08:44,  3.16s/it]
 66%|██████▌   | 315/480 [16:26<08:34,  3.12s/it]
 66%|██████▌   | 316/480 [16:30<08:34,  3.14s/it]
 66%|██████▌   | 317/480 [16:33<08:39,  3.19s/it]
 66%|██████▋   | 318/480 [16:36<08:36,  3.19s/it]
 66%|██████▋   | 319/480 [16:39<08:29,  3.17s/it]
 67%|██████▋   | 320/480 [16:40<06:31,  2.45s/it]
                                                 
+
 67%|██████▋   | 320/480 [16:40<06:31,  2.45s/it]
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
                                                                    [EVAL] ★ New best eval_rougeL=91.0000 (step=320) — snapshot saved in memory
+
                                                 
+
 67%|██████▋   | 320/480 [16:47<06:31,  2.45s/it]
 67%|██████▋   | 321/480 [16:51<12:58,  4.89s/it]
 67%|██████▋   | 322/480 [16:54<11:24,  4.33s/it]
 67%|██████▋   | 323/480 [16:57<10:20,  3.95s/it]
 68%|██████▊   | 324/480 [17:00<09:35,  3.69s/it]
 68%|██████▊   | 325/480 [17:03<09:20,  3.62s/it]
 68%|██████▊   | 326/480 [17:06<08:49,  3.44s/it]
 68%|██████▊   | 327/480 [17:10<08:40,  3.40s/it]
 68%|██████▊   | 328/480 [17:13<08:46,  3.46s/it]
 69%|██████▊   | 329/480 [17:16<08:35,  3.42s/it]
 69%|██████▉   | 330/480 [17:20<08:14,  3.30s/it]
                                                 
+
 69%|██████▉   | 330/480 [17:20<08:14,  3.30s/it]
 69%|██████▉   | 331/480 [17:23<08:06,  3.27s/it]
 69%|██████▉   | 332/480 [17:26<07:53,  3.20s/it]
 69%|██████▉   | 333/480 [17:29<07:49,  3.20s/it]
 70%|██████▉   | 334/480 [17:32<07:43,  3.18s/it]
 70%|██████▉   | 335/480 [17:35<07:33,  3.13s/it]
 70%|███████   | 336/480 [17:38<07:34,  3.16s/it]
 70%|███████   | 337/480 [17:41<07:26,  3.12s/it]
 70%|███████   | 338/480 [17:45<07:35,  3.21s/it]
 71%|███████   | 339/480 [17:48<07:25,  3.16s/it]
 71%|███████   | 340/480 [17:51<07:25,  3.18s/it]
                                                 
+
 71%|███████   | 340/480 [17:51<07:25,  3.18s/it]
 71%|███████   | 341/480 [17:54<07:30,  3.24s/it]
 71%|███████▏  | 342/480 [17:58<07:27,  3.24s/it]
 71%|███████▏  | 343/480 [18:01<07:15,  3.18s/it]
 72%|███████▏  | 344/480 [18:04<07:21,  3.25s/it]
 72%|███████▏  | 345/480 [18:07<07:22,  3.28s/it]
 72%|███████▏  | 346/480 [18:11<07:33,  3.38s/it]
 72%|███████▏  | 347/480 [18:15<07:36,  3.44s/it]
 72%|███████▎  | 348/480 [18:18<07:17,  3.32s/it]
 73%|███████▎  | 349/480 [18:21<07:03,  3.23s/it]
 73%|███████▎  | 350/480 [18:24<06:55,  3.20s/it]
                                                 
+
 73%|███████▎  | 350/480 [18:24<06:55,  3.20s/it]
 73%|███████▎  | 351/480 [18:27<06:46,  3.15s/it]
 73%|███████▎  | 352/480 [18:28<05:12,  2.44s/it]
 74%|███████▎  | 353/480 [18:31<05:32,  2.62s/it]
 74%|███████▍  | 354/480 [18:34<05:46,  2.75s/it]
 74%|███████▍  | 355/480 [18:37<05:59,  2.87s/it]
 74%|███████▍  | 356/480 [18:40<06:08,  2.97s/it]
 74%|███████▍  | 357/480 [18:43<06:08,  3.00s/it]
 75%|███████▍  | 358/480 [18:46<06:10,  3.04s/it]
 75%|███████▍  | 359/480 [18:49<06:07,  3.04s/it]
 75%|███████▌  | 360/480 [18:53<06:16,  3.14s/it]
                                                 
+
 75%|███████▌  | 360/480 [18:53<06:16,  3.14s/it]
 75%|███████▌  | 361/480 [18:56<06:15,  3.16s/it]
 75%|███████▌  | 362/480 [18:59<06:08,  3.12s/it]
 76%|███████▌  | 363/480 [19:02<06:09,  3.16s/it]
 76%|███████▌  | 364/480 [19:05<06:04,  3.15s/it]
 76%|███████▌  | 365/480 [19:09<06:07,  3.20s/it]
 76%|███████▋  | 366/480 [19:12<06:00,  3.17s/it]
 76%|███████▋  | 367/480 [19:15<05:58,  3.17s/it]
 77%|███████▋  | 368/480 [19:18<06:02,  3.24s/it]
 77%|███████▋  | 369/480 [19:21<05:53,  3.19s/it]
 77%|███████▋  | 370/480 [19:25<05:50,  3.19s/it]
                                                 
+
 77%|███████▋  | 370/480 [19:25<05:50,  3.19s/it]
 77%|███████▋  | 371/480 [19:28<05:50,  3.22s/it]
 78%|███████▊  | 372/480 [19:31<05:47,  3.22s/it]
 78%|███████▊  | 373/480 [19:34<05:43,  3.21s/it]
 78%|███████▊  | 374/480 [19:38<05:45,  3.26s/it]
 78%|███████▊  | 375/480 [19:41<05:42,  3.26s/it]
 78%|███████▊  | 376/480 [19:44<05:31,  3.19s/it]
 79%|███████▊  | 377/480 [19:47<05:31,  3.21s/it]
 79%|███████▉  | 378/480 [19:50<05:26,  3.20s/it]
 79%|███████▉  | 379/480 [19:53<05:18,  3.15s/it]
 79%|███████▉  | 380/480 [19:57<05:16,  3.17s/it]
                                                 
+
 79%|███████▉  | 380/480 [19:57<05:16,  3.17s/it]
 79%|███████▉  | 381/480 [20:00<05:13,  3.17s/it]
 80%|███████▉  | 382/480 [20:03<05:12,  3.19s/it]
 80%|███████▉  | 383/480 [20:06<05:10,  3.20s/it]
 80%|████████  | 384/480 [20:07<03:57,  2.48s/it]
 80%|████████  | 385/480 [20:10<04:15,  2.69s/it]
 80%|████████  | 386/480 [20:13<04:29,  2.87s/it]
 81%|████████  | 387/480 [20:17<04:38,  2.99s/it]
 81%|████████  | 388/480 [20:20<04:40,  3.04s/it]
 81%|████████  | 389/480 [20:23<04:42,  3.10s/it]
 81%|████████▏ | 390/480 [20:27<04:46,  3.19s/it]
                                                 
+
 81%|████████▏ | 390/480 [20:27<04:46,  3.19s/it]
 81%|████████▏ | 391/480 [20:30<04:52,  3.29s/it]
 82%|████████▏ | 392/480 [20:33<04:45,  3.24s/it]
 82%|████████▏ | 393/480 [20:36<04:41,  3.24s/it]
 82%|████████▏ | 394/480 [20:40<04:37,  3.23s/it]
 82%|████████▏ | 395/480 [20:43<04:31,  3.20s/it]
 82%|████████▎ | 396/480 [20:46<04:29,  3.21s/it]
 83%|████████▎ | 397/480 [20:49<04:26,  3.21s/it]
 83%|████████▎ | 398/480 [20:52<04:24,  3.23s/it]
 83%|████████▎ | 399/480 [20:56<04:20,  3.22s/it]
 83%|████████▎ | 400/480 [20:59<04:17,  3.22s/it]
                                                 
+
 83%|████████▎ | 400/480 [20:59<04:17,  3.22s/it]
 84%|████████▎ | 401/480 [21:02<04:15,  3.23s/it]
 84%|████████▍ | 402/480 [21:05<04:12,  3.23s/it]
 84%|████████▍ | 403/480 [21:09<04:05,  3.19s/it]
 84%|████████▍ | 404/480 [21:12<04:00,  3.16s/it]
 84%|████████▍ | 405/480 [21:15<03:56,  3.15s/it]
 85%|████████▍ | 406/480 [21:18<03:50,  3.11s/it]
 85%|████████▍ | 407/480 [21:21<03:45,  3.09s/it]
 85%|████████▌ | 408/480 [21:24<03:43,  3.10s/it]
 85%|████████▌ | 409/480 [21:27<03:38,  3.08s/it]
 85%|████████▌ | 410/480 [21:30<03:38,  3.12s/it]
                                                 
+
 85%|████████▌ | 410/480 [21:30<03:38,  3.12s/it]
 86%|████████▌ | 411/480 [21:33<03:33,  3.09s/it]
 86%|████████▌ | 412/480 [21:36<03:30,  3.09s/it]
 86%|████████▌ | 413/480 [21:39<03:26,  3.08s/it]
 86%|████████▋ | 414/480 [21:42<03:25,  3.12s/it]
 86%|████████▋ | 415/480 [21:46<03:23,  3.14s/it]
 87%|████████▋ | 416/480 [21:46<02:35,  2.43s/it]
 87%|████████▋ | 417/480 [21:49<02:44,  2.61s/it]
 87%|████████▋ | 418/480 [21:53<02:52,  2.79s/it]
 87%|████████▋ | 419/480 [21:56<02:56,  2.89s/it]
 88%|████████▊ | 420/480 [21:59<02:58,  2.98s/it]
                                                 
+
 88%|████████▊ | 420/480 [21:59<02:58,  2.98s/it]
 88%|████████▊ | 421/480 [22:02<02:56,  3.00s/it]
 88%|████████▊ | 422/480 [22:05<02:59,  3.10s/it]
 88%|████████▊ | 423/480 [22:09<02:58,  3.14s/it]
 88%|████████▊ | 424/480 [22:12<02:53,  3.11s/it]
 89%|████████▊ | 425/480 [22:15<02:52,  3.14s/it]
 89%|████████▉ | 426/480 [22:18<02:52,  3.20s/it]
 89%|████████▉ | 427/480 [22:21<02:49,  3.20s/it]
 89%|████████▉ | 428/480 [22:25<02:46,  3.20s/it]
 89%|████████▉ | 429/480 [22:28<02:48,  3.30s/it]
 90%|████████▉ | 430/480 [22:31<02:40,  3.22s/it]
                                                 
+
 90%|████████▉ | 430/480 [22:31<02:40,  3.22s/it]
 90%|████████▉ | 431/480 [22:34<02:35,  3.17s/it]
 90%|█████████ | 432/480 [22:37<02:32,  3.17s/it]
 90%|█████████ | 433/480 [22:40<02:27,  3.13s/it]
 90%|█████████ | 434/480 [22:43<02:22,  3.11s/it]
 91%|█████████ | 435/480 [22:47<02:18,  3.08s/it]
 91%|█████████ | 436/480 [22:50<02:15,  3.09s/it]
 91%|█████████ | 437/480 [22:53<02:16,  3.17s/it]
 91%|█████████▏| 438/480 [22:56<02:11,  3.13s/it]
 91%|█████████▏| 439/480 [22:59<02:08,  3.13s/it]
 92%|█████████▏| 440/480 [23:02<02:03,  3.10s/it]
                                                 
+
 92%|█████████▏| 440/480 [23:02<02:03,  3.10s/it]
 92%|█████████▏| 441/480 [23:05<02:02,  3.13s/it]
 92%|█████████▏| 442/480 [23:08<01:59,  3.13s/it]
 92%|█████████▏| 443/480 [23:12<01:59,  3.22s/it]
 92%|█████████▎| 444/480 [23:15<01:55,  3.21s/it]
 93%|█████████▎| 445/480 [23:18<01:50,  3.16s/it]
 93%|█████████▎| 446/480 [23:21<01:47,  3.16s/it]
 93%|█████████▎| 447/480 [23:25<01:44,  3.17s/it]
 93%|█████████▎| 448/480 [23:25<01:18,  2.45s/it]
 94%|█████████▎| 449/480 [23:29<01:23,  2.68s/it]
 94%|█████████▍| 450/480 [23:32<01:24,  2.81s/it]
                                                 
+
 94%|█████████▍| 450/480 [23:32<01:24,  2.81s/it]
 94%|█████████▍| 451/480 [23:35<01:24,  2.93s/it]
 94%|█████████▍| 452/480 [23:38<01:25,  3.04s/it]
 94%|█████████▍| 453/480 [23:41<01:23,  3.11s/it]
 95%|█████████▍| 454/480 [23:45<01:21,  3.14s/it]
 95%|█████████▍| 455/480 [23:48<01:19,  3.17s/it]
 95%|█████████▌| 456/480 [23:51<01:17,  3.22s/it]
 95%|█████████▌| 457/480 [23:54<01:13,  3.21s/it]
 95%|█████████▌| 458/480 [23:57<01:09,  3.17s/it]
 96%|█████████▌| 459/480 [24:00<01:05,  3.13s/it]
 96%|█████████▌| 460/480 [24:04<01:03,  3.17s/it]
                                                 
+
 96%|█████████▌| 460/480 [24:04<01:03,  3.17s/it]
 96%|█████████▌| 461/480 [24:07<00:59,  3.14s/it]
 96%|█████████▋| 462/480 [24:10<00:56,  3.13s/it]
 96%|█████████▋| 463/480 [24:13<00:53,  3.15s/it]
 97%|█████████▋| 464/480 [24:16<00:50,  3.17s/it]
 97%|█████████▋| 465/480 [24:19<00:46,  3.12s/it]
 97%|█████████▋| 466/480 [24:22<00:43,  3.13s/it]
 97%|█████████▋| 467/480 [24:26<00:40,  3.10s/it]
 98%|█████████▊| 468/480 [24:29<00:37,  3.09s/it]
 98%|█████████▊| 469/480 [24:32<00:34,  3.13s/it]
 98%|█████████▊| 470/480 [24:35<00:31,  3.15s/it]
                                                 
+
 98%|█████████▊| 470/480 [24:35<00:31,  3.15s/it]
 98%|█████████▊| 471/480 [24:38<00:28,  3.13s/it]
 98%|█████████▊| 472/480 [24:41<00:25,  3.15s/it]
 99%|█████████▊| 473/480 [24:44<00:22,  3.15s/it]
 99%|█████████▉| 474/480 [24:48<00:18,  3.17s/it]
 99%|█████████▉| 475/480 [24:51<00:15,  3.14s/it]
 99%|█████████▉| 476/480 [24:54<00:12,  3.22s/it]
 99%|█████████▉| 477/480 [24:57<00:09,  3.22s/it]
                                                 
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
                                                                    [EVAL] eval_rougeL=88.0000 (best=91.0000)
+
                                                 
+
                                                 
+
+***** train metrics *****
+  epoch                    =       15.0
+  total_flos               = 50859468GF
+  train_loss               =     0.1675
+  train_runtime            = 0:25:12.24
+  train_samples            =       1000
+  train_samples_per_second =      9.919
+  train_steps_per_second   =      0.317
+  [EVAL] Restored best model (eval_rougeL=91.0000, 128 tensors)
+[SAVE] LoRA weights → /home/dev-52/minhnguyen/Continual/new_llama_gainlora/logs_and_outputs/superni_order1_llama_srt/outputs/2-task363_sst2_polarity_classification/saved_weights
+[SRT] Loading frozen backbone from /home/dev-52/minhnguyen/Continual/Llama …
+
+[SRT] Frozen backbone attached (moved to cuda:0).
+  [SRT] → Forward extraction (1000 samples, batch_size=1)
+  [SRT] Task 'task363_sst2_polarity_classification': PaR=873.0, shrinkage=ridge, n=1000
+  [SRT] Wired router: 2 sigs, cur=task363_sst2_polarity_classification, mapping={'task363_sst2_polarity_classification': 0, 'task1572_samsum_summary': 1}
+[SRT] Router: 2 tasks, avg_PaR=873.0, metrics=['ridge', 'ridge']
+  [SRT] Saved signatures → /home/dev-52/minhnguyen/Continual/new_llama_gainlora/logs_and_outputs/superni_order1_llama_srt/outputs/2-task363_sst2_polarity_classification/saved_weights/srt_signatures.npz
+*** Prediction ***
+/home/dev-52/minhnguyen/Continual/root_gainlora/CL_Benchmark/SuperNI/task1572_samsum_summary/test.json
+['Contributors', 'Source', 'URL', 'Categories', 'Reasoning', 'Definition', 'Input_language', 'Output_language', 'Instruction_language', 'Domains', 'Positive Examples', 'Negative Examples', 'Instances', 'Instance License']
+/home/dev-52/minhnguyen/Continual/root_gainlora/CL_Benchmark/SuperNI/task1572_samsum_summary/test.json
+['Contributors', 'Source', 'URL', 'Categories', 'Reasoning', 'Definition', 'Input_language', 'Output_language', 'Instruction_language', 'Domains', 'Positive Examples', 'Negative Examples', 'Instances', 'Instance License']
+/home/dev-52/minhnguyen/Continual/root_gainlora/CL_Benchmark/SuperNI/task363_sst2_polarity_classification/test.json
+['URL', 'Categories', 'Input_language', 'Output_language', 'Instruction_language', 'Domains', 'Positive Examples', 'Negative Examples', 'Instances', 'Definition']
+  [SRT-INIT] router tasks=['task1572_samsum_summary', 'task363_sst2_polarity_classification']
+  [SRT-INIT] task_id_to_idx={'task363_sst2_polarity_classification': 0, 'task1572_samsum_summary': 1}
+  [SRT-INIT] use_srt_routing=True
+  [SRT-INIT] encoder_frozen=FrozenLlamaExtractor
+
+
+
+  ┌──────────────────────────────────────────────────────────────────────────────────────────────────┐
+  │           SRT ROUTING ACCURACY SUMMARY                                                      │
+  ├──────────────────────────────────────────────────────────────────────────────────────────────────┤
+  │  GT=task1572_samsum_summary           slot_acc=100.0%  label_acc=100.0%  disagree=  0  [slot1=20]│
+  │  GT=task363_sst2_polarity_classifica  slot_acc=100.0%  label_acc=100.0%  disagree=  0  [slot0=100]│
+  ├──────────────────────────────────────────────────────────────────────────────────────────────────┤
+  │  OVERALL: slot_acc=100.0% (120/120)  label_acc=100.0% (120/120)  disagree=  0                    │
+  └──────────────────────────────────────────────────────────────────────────────────────────────────┘
+***** predict metrics *****
+  epoch                                                        =       15.0
+  predict_eval_rougeL                                          =    82.7288
+  predict_eval_rougeL_for_CL                                   =    82.7288
+  predict_eval_rougeL_for_task1572_samsum_summary              =    41.3728
+  predict_eval_rougeL_for_task363_sst2_polarity_classification =       91.0
+  predict_exact_match                                          =    75.8333
+  predict_exact_match_for_CL                                   =    75.8333
+  predict_exact_match_for_task1572_samsum_summary              =        0.0
+  predict_exact_match_for_task363_sst2_polarity_classification =       91.0
+  predict_gen_len                                              =      6.225
+  predict_global_step                                          =        480
+  predict_rouge1                                               =    84.2313
+  predict_rouge1_for_CL                                        =    84.2313
+  predict_rouge1_for_task1572_samsum_summary                   =    50.3879
+  predict_rouge1_for_task363_sst2_polarity_classification      =       91.0
+  predict_runtime                                              = 0:00:55.69
+  predict_samples                                              =        120
+  predict_samples_per_second                                   =      2.154
+  predict_steps_per_second                                     =      2.154
+[2026-04-29 20:03:06,821] [INFO] [launch.py:367:main] Process 492775 exits successfully.

superni_order1_llama_srt/outputs/3-task1290_xsum_summarization/all_results.json

@@ -0,0 +1,30 @@
+{
+  "predict_exact_match": 41.3636,
+  "predict_rouge1": 62.6489,
+  "predict_eval_rougeL": 58.5759,
+  "predict_gen_len": 14.6182,
+  "predict_runtime": 359.74325460591353,
+  "predict_samples": 220,
+  "predict_samples_per_second": 0.612,
+  "predict_steps_per_second": 0.612,
+  "epoch": 15.0,
+  "predict_global_step": 480,
+  "predict_exact_match_for_CL": 41.3636,
+  "predict_rouge1_for_CL": 62.6489,
+  "predict_eval_rougeL_for_CL": 58.5759,
+  "predict_exact_match_for_task1572_samsum_summary": 0.0,
+  "predict_rouge1_for_task1572_samsum_summary": 50.3879,
+  "predict_eval_rougeL_for_task1572_samsum_summary": 41.3728,
+  "predict_exact_match_for_task363_sst2_polarity_classification": 91.0,
+  "predict_rouge1_for_task363_sst2_polarity_classification": 91.0,
+  "predict_eval_rougeL_for_task363_sst2_polarity_classification": 91.0,
+  "predict_exact_match_for_task1290_xsum_summarization": 0.0,
+  "predict_rouge1_for_task1290_xsum_summarization": 36.75,
+  "predict_eval_rougeL_for_task1290_xsum_summarization": 29.5925,
+  "train_runtime": 4023.2929,
+  "train_samples_per_second": 3.728,
+  "train_steps_per_second": 0.119,
+  "total_flos": 3.4023235089176986e+17,
+  "train_loss": 1.1839401006698609,
+  "train_samples": 1000
+}

superni_order1_llama_srt/outputs/3-task1290_xsum_summarization/saved_weights/lora_weights_A.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:cebfd575e3c018a3a487b9b7502460122e8ac4256efd61c4120faa1d39c26282
+size 2118413

superni_order1_llama_srt/outputs/3-task1290_xsum_summarization/saved_weights/lora_weights_B.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:bd3a8c00b469368f12ef3998c058fd9dbb18a3ed86f704c4baf5f2f9b1c5d08e
+size 2118349

superni_order1_llama_srt/outputs/3-task1290_xsum_summarization/saved_weights/srt_signatures.npz

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b15635b35368a1221a1444bce137aa0752d010db026ee457b416405f76886c2c
+size 557326126

superni_order1_llama_srt/outputs/4-task181_outcome_extraction/all_results.json

@@ -0,0 +1,33 @@
+{
+  "predict_exact_match": 43.346,
+  "predict_rouge1": 62.1102,
+  "predict_eval_rougeL": 58.7031,
+  "predict_gen_len": 12.654,
+  "predict_runtime": 376.28015851508826,
+  "predict_samples": 263,
+  "predict_samples_per_second": 0.699,
+  "predict_steps_per_second": 0.699,
+  "epoch": 15.0,
+  "predict_global_step": 165,
+  "predict_exact_match_for_CL": 43.346,
+  "predict_rouge1_for_CL": 62.1102,
+  "predict_eval_rougeL_for_CL": 58.7031,
+  "predict_exact_match_for_task1572_samsum_summary": 0.0,
+  "predict_rouge1_for_task1572_samsum_summary": 50.3879,
+  "predict_eval_rougeL_for_task1572_samsum_summary": 41.3728,
+  "predict_exact_match_for_task363_sst2_polarity_classification": 91.0,
+  "predict_rouge1_for_task363_sst2_polarity_classification": 91.0,
+  "predict_eval_rougeL_for_task363_sst2_polarity_classification": 91.0,
+  "predict_exact_match_for_task1290_xsum_summarization": 0.0,
+  "predict_rouge1_for_task1290_xsum_summarization": 36.75,
+  "predict_eval_rougeL_for_task1290_xsum_summarization": 29.5925,
+  "predict_exact_match_for_task181_outcome_extraction": 53.4884,
+  "predict_rouge1_for_task181_outcome_extraction": 59.354,
+  "predict_eval_rougeL_for_task181_outcome_extraction": 59.354,
+  "train_runtime": 653.4649,
+  "train_samples_per_second": 7.759,
+  "train_steps_per_second": 0.253,
+  "total_flos": 4.996349011427328e+16,
+  "train_loss": 0.5650005846312551,
+  "train_samples": 338
+}

superni_order1_llama_srt/outputs/4-task181_outcome_extraction/saved_weights/lora_weights_A.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7448fca47c2c3aab002d120ac46e1dbc7b105185ef197db1e8e48aea1d0bc80a
+size 2118413

superni_order1_llama_srt/outputs/4-task181_outcome_extraction/saved_weights/lora_weights_B.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a8fbaf6b26963c6e9bae5f948f9f7a16398b9e0b1263da03cb99fc9e22e434ad
+size 2118349

superni_order1_llama_srt/outputs/4-task181_outcome_extraction/saved_weights/srt_signatures.npz

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c297c272524940c7f8abf1bf3abcb8c96e3fc94c0f965ffc29a616ef9e9c56e4
+size 702402799

superni_order1_llama_srt/outputs/4-task181_outcome_extraction/train.log

@@ -0,0 +1,297 @@
+[2026-04-29 21:19:20,537] [WARNING] [runner.py:232:fetch_hostfile] Unable to find hostfile, will proceed with training with local resources only.
+[2026-04-29 21:19:20,537] [INFO] [runner.py:630:main] cmd = /home/dev-52/miniconda3/envs/myenv/bin/python3.12 -u -m deepspeed.launcher.launch --world_info=eyJsb2NhbGhvc3QiOiBbMF19 --master_addr=127.0.0.1 --master_port=29503 --enable_each_rank_log=None --log_level=info /home/dev-52/minhnguyen/Continual/new_llama_gainlora/run_llama_gainlora_cl.py --model_name_or_path /home/dev-52/minhnguyen/Continual/Llama --data_dir /home/dev-52/minhnguyen/Continual/root_gainlora/CL_Benchmark --task_config_dir /home/dev-52/minhnguyen/Continual/new_gainlora/configs/gen_script_superni_order1_llama_configs/task181_outcome_extraction --output_dir /home/dev-52/minhnguyen/Continual/new_llama_gainlora/logs_and_outputs/superni_order1_llama_srt/outputs/4-task181_outcome_extraction --cur_task_id 3 --task_order task1572_samsum_summary,task363_sst2_polarity_classification,task1290_xsum_summarization,task181_outcome_extraction,task002_quoref_answer_generation,task1510_evalution_relation_extraction,task639_multi_woz_user_utterance_generation,task1729_personachat_generate_next,task073_commonsenseqa_answer_generation,task1590_diplomacy_text_generation,task748_glucose_reverse_cause_event_detection,task511_reddit_tifu_long_text_summarization,task591_sciq_answer_generation,task1687_sentiment140_classification,task875_emotion_classification --lora_r 4 --lora_alpha 32 --lora_dropout 0.0 --per_device_train_batch_size 1 --per_device_eval_batch_size 1 --gradient_accumulation_steps 32 --learning_rate 5e-5 --num_train_epochs 15 --max_source_length 1024 --max_target_length 50 --max_new_tokens 50 --srt_shrinkage ridge --srt_max_emb_samples 2000 --use_srt_router --gradient_checkpointing --bf16 --deepspeed /home/dev-52/minhnguyen/Continual/new_gainlora/configs/ds_configs/stage2_cpu_offload.config --logging_steps 10 --seed 42 --previous_lora_path /home/dev-52/minhnguyen/Continual/new_llama_gainlora/logs_and_outputs/superni_order1_llama_srt/outputs/1-task1572_samsum_summary/saved_weights,/home/dev-52/minhnguyen/Continual/new_llama_gainlora/logs_and_outputs/superni_order1_llama_srt/outputs/2-task363_sst2_polarity_classification/saved_weights,/home/dev-52/minhnguyen/Continual/new_llama_gainlora/logs_and_outputs/superni_order1_llama_srt/outputs/3-task1290_xsum_summarization/saved_weights --srt_load_path /home/dev-52/minhnguyen/Continual/new_llama_gainlora/logs_and_outputs/superni_order1_llama_srt/outputs/3-task1290_xsum_summarization/saved_weights
+[2026-04-29 21:19:23,701] [INFO] [launch.py:162:main] WORLD INFO DICT: {'localhost': [0]}
+[2026-04-29 21:19:23,701] [INFO] [launch.py:168:main] nnodes=1, num_local_procs=1, node_rank=0
+[2026-04-29 21:19:23,701] [INFO] [launch.py:179:main] global_rank_mapping=defaultdict(<class 'list'>, {'localhost': [0]})
+[2026-04-29 21:19:23,701] [INFO] [launch.py:180:main] dist_world_size=1
+[2026-04-29 21:19:23,701] [INFO] [launch.py:184:main] Setting CUDA_VISIBLE_DEVICES=0
+[2026-04-29 21:19:23,702] [INFO] [launch.py:272:main] process 739565 spawned with command: ['/home/dev-52/miniconda3/envs/myenv/bin/python3.12', '-u', '/home/dev-52/minhnguyen/Continual/new_llama_gainlora/run_llama_gainlora_cl.py', '--local_rank=0', '--model_name_or_path', '/home/dev-52/minhnguyen/Continual/Llama', '--data_dir', '/home/dev-52/minhnguyen/Continual/root_gainlora/CL_Benchmark', '--task_config_dir', '/home/dev-52/minhnguyen/Continual/new_gainlora/configs/gen_script_superni_order1_llama_configs/task181_outcome_extraction', '--output_dir', '/home/dev-52/minhnguyen/Continual/new_llama_gainlora/logs_and_outputs/superni_order1_llama_srt/outputs/4-task181_outcome_extraction', '--cur_task_id', '3', '--task_order', 'task1572_samsum_summary,task363_sst2_polarity_classification,task1290_xsum_summarization,task181_outcome_extraction,task002_quoref_answer_generation,task1510_evalution_relation_extraction,task639_multi_woz_user_utterance_generation,task1729_personachat_generate_next,task073_commonsenseqa_answer_generation,task1590_diplomacy_text_generation,task748_glucose_reverse_cause_event_detection,task511_reddit_tifu_long_text_summarization,task591_sciq_answer_generation,task1687_sentiment140_classification,task875_emotion_classification', '--lora_r', '4', '--lora_alpha', '32', '--lora_dropout', '0.0', '--per_device_train_batch_size', '1', '--per_device_eval_batch_size', '1', '--gradient_accumulation_steps', '32', '--learning_rate', '5e-5', '--num_train_epochs', '15', '--max_source_length', '1024', '--max_target_length', '50', '--max_new_tokens', '50', '--srt_shrinkage', 'ridge', '--srt_max_emb_samples', '2000', '--use_srt_router', '--gradient_checkpointing', '--bf16', '--deepspeed', '/home/dev-52/minhnguyen/Continual/new_gainlora/configs/ds_configs/stage2_cpu_offload.config', '--logging_steps', '10', '--seed', '42', '--previous_lora_path', '/home/dev-52/minhnguyen/Continual/new_llama_gainlora/logs_and_outputs/superni_order1_llama_srt/outputs/1-task1572_samsum_summary/saved_weights,/home/dev-52/minhnguyen/Continual/new_llama_gainlora/logs_and_outputs/superni_order1_llama_srt/outputs/2-task363_sst2_polarity_classification/saved_weights,/home/dev-52/minhnguyen/Continual/new_llama_gainlora/logs_and_outputs/superni_order1_llama_srt/outputs/3-task1290_xsum_summarization/saved_weights', '--srt_load_path', '/home/dev-52/minhnguyen/Continual/new_llama_gainlora/logs_and_outputs/superni_order1_llama_srt/outputs/3-task1290_xsum_summarization/saved_weights']
+
+============================================================
+Task 3: task181_outcome_extraction
+Task order (15 tasks): ['task1572_samsum_summary', 'task363_sst2_polarity_classification', 'task1290_xsum_summarization', 'task181_outcome_extraction', 'task002_quoref_answer_generation', 'task1510_evalution_relation_extraction', 'task639_multi_woz_user_utterance_generation', 'task1729_personachat_generate_next', 'task073_commonsenseqa_answer_generation', 'task1590_diplomacy_text_generation', 'task748_glucose_reverse_cause_event_detection', 'task511_reddit_tifu_long_text_summarization', 'task591_sciq_answer_generation', 'task1687_sentiment140_classification', 'task875_emotion_classification']
+previous_lora_path: /home/dev-52/minhnguyen/Continual/new_llama_gainlora/logs_and_outputs/superni_order1_llama_srt/outputs/1-task1572_samsum_summary/saved_weights,/home/dev-52/minhnguyen/Continual/new_llama_gainlora/logs_and_outputs/superni_order1_llama_srt/outputs/2-task363_sst2_polarity_classification/saved_weights,/home/dev-52/minhnguyen/Continual/new_llama_gainlora/logs_and_outputs/superni_order1_llama_srt/outputs/3-task1290_xsum_summarization/saved_weights
+srt_load_path:      /home/dev-52/minhnguyen/Continual/new_llama_gainlora/logs_and_outputs/superni_order1_llama_srt/outputs/3-task1290_xsum_summarization/saved_weights
+sgwi:               True
+============================================================
+
+/home/dev-52/minhnguyen/Continual/root_gainlora/CL_Benchmark/SuperNI/task181_outcome_extraction/train.json
+['Contributors', 'Source', 'URL', 'Categories', 'Reasoning', 'Definition', 'Input_language', 'Output_language', 'Instruction_language', 'Domains', 'Positive Examples', 'Negative Examples', 'Instances', 'Instance License']
+/home/dev-52/minhnguyen/Continual/root_gainlora/CL_Benchmark/SuperNI/task181_outcome_extraction/dev.json
+['Contributors', 'Source', 'URL', 'Categories', 'Reasoning', 'Definition', 'Input_language', 'Output_language', 'Instruction_language', 'Domains', 'Positive Examples', 'Negative Examples', 'Instances', 'Instance License']
+/home/dev-52/minhnguyen/Continual/root_gainlora/CL_Benchmark/SuperNI/task1572_samsum_summary/test.json
+['Contributors', 'Source', 'URL', 'Categories', 'Reasoning', 'Definition', 'Input_language', 'Output_language', 'Instruction_language', 'Domains', 'Positive Examples', 'Negative Examples', 'Instances', 'Instance License']
+/home/dev-52/minhnguyen/Continual/root_gainlora/CL_Benchmark/SuperNI/task363_sst2_polarity_classification/test.json
+['URL', 'Categories', 'Input_language', 'Output_language', 'Instruction_language', 'Domains', 'Positive Examples', 'Negative Examples', 'Instances', 'Definition']
+/home/dev-52/minhnguyen/Continual/root_gainlora/CL_Benchmark/SuperNI/task1290_xsum_summarization/test.json
+['Contributors', 'Source', 'URL', 'Categories', 'Reasoning', 'Definition', 'Input_language', 'Output_language', 'Instruction_language', 'Domains', 'Positive Examples', 'Negative Examples', 'Instances', 'Instance License']
+/home/dev-52/minhnguyen/Continual/root_gainlora/CL_Benchmark/SuperNI/task181_outcome_extraction/test.json
+['Contributors', 'Source', 'URL', 'Categories', 'Reasoning', 'Definition', 'Input_language', 'Output_language', 'Instruction_language', 'Domains', 'Positive Examples', 'Negative Examples', 'Instances', 'Instance License']
+Train/dev/test: 338/43/263
+
+LlamaForCausalLM has generative capabilities, as `prepare_inputs_for_generation` is explicitly defined. However, it doesn't directly inherit from `GenerationMixin`. From 👉v4.50👈 onwards, `PreTrainedModel` will NOT inherit from `GenerationMixin`, and this model will lose the ability to call `generate` and other related functions.
+  - If you're using `trust_remote_code=True`, you can get rid of this warning by loading the model with an auto class. See https://huggingface.co/docs/transformers/en/model_doc/auto#auto-classes
+  - If you are the owner of the model architecture code, please modify your model class such that it inherits from `GenerationMixin` (after `PreTrainedModel`, otherwise you'll get an exception).
+  - If you are not the owner of the model architecture class, please contact the model code owner to update it.
+LlamaModel has generative capabilities, as `prepare_inputs_for_generation` is explicitly defined. However, it doesn't directly inherit from `GenerationMixin`. From 👉v4.50👈 onwards, `PreTrainedModel` will NOT inherit from `GenerationMixin`, and this model will lose the ability to call `generate` and other related functions.
+  - If you're using `trust_remote_code=True`, you can get rid of this warning by loading the model with an auto class. See https://huggingface.co/docs/transformers/en/model_doc/auto#auto-classes
+  - If you are the owner of the model architecture code, please modify your model class such that it inherits from `GenerationMixin` (after `PreTrainedModel`, otherwise you'll get an exception).
+  - If you are not the owner of the model architecture class, please contact the model code owner to update it.
+[LOAD] HF checkpoint copied into custom LLaMA (allowed_missing=547)
+[FIX] Re-initialized lora_A/B in 256 LoRA layers
+[FIX] Re-initialized prompt_key ~ U(-1,1)
+[FIX] n_slots: dummy previous_prompts_keys shape=(3, 4096)
+[PREV-LORA] Loaded slot[0] ← /home/dev-52/minhnguyen/Continual/new_llama_gainlora/logs_and_outputs/superni_order1_llama_srt/outputs/3-task1290_xsum_summarization/saved_weights
+[PREV-LORA] Loaded slot[1] ← /home/dev-52/minhnguyen/Continual/new_llama_gainlora/logs_and_outputs/superni_order1_llama_srt/outputs/2-task363_sst2_polarity_classification/saved_weights
+[PREV-LORA] Loaded slot[2] ← /home/dev-52/minhnguyen/Continual/new_llama_gainlora/logs_and_outputs/superni_order1_llama_srt/outputs/1-task1572_samsum_summary/saved_weights
+[PREV-LORA] Moved 3 past adapters to CPU
+[FIX] Upcast 131 trainable tensors to fp32
+Trainable: 2.920M / 6747.640M (0.04%)
+[TRAIN] step_per_epoch=11, eval_steps=55
+  [SRT] Loaded 3 signatures from /home/dev-52/minhnguyen/Continual/new_llama_gainlora/logs_and_outputs/superni_order1_llama_srt/outputs/3-task1290_xsum_summarization/saved_weights/srt_signatures.npz
+  [SRT] Wired router: 3 sigs, cur=task181_outcome_extraction, mapping={'task181_outcome_extraction': 0, 'task1572_samsum_summary': 3, 'task363_sst2_polarity_classification': 2, 'task1290_xsum_summarization': 1}
+[SGWI] Task 3: computing SRT weights for warm-init…
+  [SRT] WARNING: encoder_frozen not attached. Returning empty embeddings.
+[SGWI] No SRT weights available. Skipping warm-init.
+[RANK 0] Gradient accumulation steps mismatch: GradientAccumulationPlugin has 1, DeepSpeed config has 32. Using DeepSpeed's value.
+[2026-04-29 21:20:18,802] [WARNING] [lr_schedules.py:690:get_lr] Attempting to get learning rate from scheduler before it has started
+
  0%|          | 0/165 [00:00<?, ?it/s]
  1%|          | 1/165 [00:04<12:14,  4.48s/it]
  1%|          | 2/165 [00:08<11:09,  4.11s/it]
  2%|▏         | 3/165 [00:12<10:55,  4.04s/it]
  2%|▏         | 4/165 [00:16<10:52,  4.05s/it]
  3%|▎         | 5/165 [00:20<10:47,  4.04s/it]
  4%|▎         | 6/165 [00:24<10:47,  4.08s/it]
  4%|▍         | 7/165 [00:28<10:36,  4.03s/it]
  5%|▍         | 8/165 [00:32<10:25,  3.99s/it]
  5%|▌         | 9/165 [00:36<10:29,  4.04s/it]
  6%|▌         | 10/165 [00:40<10:20,  4.01s/it]
                                                
+
  6%|▌         | 10/165 [00:40<10:20,  4.01s/it]
  7%|▋         | 11/165 [00:42<08:45,  3.41s/it]
  7%|▋         | 12/165 [00:46<09:21,  3.67s/it]
  8%|▊         | 13/165 [00:50<09:36,  3.79s/it]
  8%|▊         | 14/165 [00:54<09:49,  3.90s/it]
  9%|▉         | 15/165 [00:59<09:54,  3.96s/it]
 10%|▉         | 16/165 [01:03<09:49,  3.96s/it]
 10%|█         | 17/165 [01:06<09:39,  3.92s/it]
 11%|█         | 18/165 [01:10<09:37,  3.93s/it]
 12%|█▏        | 19/165 [01:14<09:33,  3.93s/it]
 12%|█▏        | 20/165 [01:18<09:31,  3.94s/it]
                                                
+
 12%|█▏        | 20/165 [01:18<09:31,  3.94s/it]
 13%|█▎        | 21/165 [01:22<09:20,  3.89s/it]
 13%|█▎        | 22/165 [01:24<08:05,  3.39s/it]
 14%|█▍        | 23/165 [01:28<08:23,  3.55s/it]
 15%|█▍        | 24/165 [01:32<08:33,  3.64s/it]
 15%|█▌        | 25/165 [01:36<08:42,  3.73s/it]
 16%|█▌        | 26/165 [01:40<08:46,  3.79s/it]
 16%|█▋        | 27/165 [01:44<08:43,  3.79s/it]
 17%|█▋        | 28/165 [01:48<08:47,  3.85s/it]
 18%|█▊        | 29/165 [01:52<08:47,  3.88s/it]
 18%|█▊        | 30/165 [01:56<08:47,  3.90s/it]
                                                
+
 18%|█▊        | 30/165 [01:56<08:47,  3.90s/it]
 19%|█▉        | 31/165 [01:59<08:38,  3.87s/it]
 19%|█▉        | 32/165 [02:03<08:38,  3.90s/it]
 20%|██        | 33/165 [02:06<07:28,  3.40s/it]
 21%|██        | 34/165 [02:10<07:54,  3.62s/it]
 21%|██        | 35/165 [02:14<08:01,  3.71s/it]
 22%|██▏       | 36/165 [02:18<08:13,  3.83s/it]
 22%|██▏       | 37/165 [02:22<08:27,  3.96s/it]
 23%|██▎       | 38/165 [02:26<08:23,  3.97s/it]
 24%|██▎       | 39/165 [02:30<08:21,  3.98s/it]
 24%|██▍       | 40/165 [02:34<08:19,  3.99s/it]
                                                
+
 24%|██▍       | 40/165 [02:34<08:19,  3.99s/it]
 25%|██▍       | 41/165 [02:38<08:09,  3.95s/it]
 25%|██▌       | 42/165 [02:42<08:03,  3.93s/it]
 26%|██▌       | 43/165 [02:46<07:54,  3.89s/it]
 27%|██▋       | 44/165 [02:48<06:47,  3.37s/it]
 27%|██▋       | 45/165 [02:52<07:10,  3.58s/it]
 28%|██▊       | 46/165 [02:56<07:20,  3.70s/it]
 28%|██▊       | 47/165 [02:59<07:18,  3.72s/it]
 29%|██▉       | 48/165 [03:04<07:27,  3.82s/it]
 30%|██▉       | 49/165 [03:07<07:22,  3.81s/it]
 30%|███       | 50/165 [03:11<07:19,  3.82s/it]
                                                
+
 30%|███       | 50/165 [03:11<07:19,  3.82s/it]
 31%|███       | 51/165 [03:15<07:20,  3.86s/it]
 32%|███▏      | 52/165 [03:19<07:16,  3.86s/it]
 32%|███▏      | 53/165 [03:23<07:28,  4.00s/it]
 33%|███▎      | 54/165 [03:27<07:20,  3.96s/it]
 33%|███▎      | 55/165 [03:29<06:19,  3.45s/it]
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
                                                                 [EVAL] ★ New best eval_rougeL=50.8114 (step=55) — snapshot saved in memory
+
                                                
+
 33%|███▎      | 55/165 [03:38<06:19,  3.45s/it]
 34%|███▍      | 56/165 [03:42<11:09,  6.15s/it]
 35%|███▍      | 57/165 [03:46<09:52,  5.49s/it]
 35%|███▌      | 58/165 [03:50<08:55,  5.01s/it]
 36%|███▌      | 59/165 [03:53<08:10,  4.63s/it]
 36%|███▋      | 60/165 [03:57<07:38,  4.37s/it]
                                                
+
 36%|███▋      | 60/165 [03:57<07:38,  4.37s/it]
 37%|███▋      | 61/165 [04:01<07:18,  4.22s/it]
 38%|███▊      | 62/165 [04:05<07:01,  4.09s/it]
 38%|███▊      | 63/165 [04:09<07:03,  4.15s/it]
 39%|███▉      | 64/165 [04:13<07:02,  4.18s/it]
 39%|███▉      | 65/165 [04:17<06:51,  4.11s/it]
 40%|████      | 66/165 [04:20<05:48,  3.52s/it]
 41%|████      | 67/165 [04:23<05:54,  3.62s/it]
 41%|████      | 68/165 [04:27<05:57,  3.69s/it]
 42%|████▏     | 69/165 [04:31<06:07,  3.82s/it]
 42%|████▏     | 70/165 [04:35<06:02,  3.81s/it]
                                                
+
 42%|████▏     | 70/165 [04:35<06:02,  3.81s/it]
 43%|████▎     | 71/165 [04:39<06:00,  3.83s/it]
 44%|████▎     | 72/165 [04:43<06:00,  3.88s/it]
 44%|████▍     | 73/165 [04:47<05:57,  3.88s/it]
 45%|████▍     | 74/165 [04:51<05:59,  3.95s/it]
 45%|████▌     | 75/165 [04:55<05:53,  3.93s/it]
 46%|████▌     | 76/165 [04:59<05:53,  3.97s/it]
 47%|████▋     | 77/165 [05:01<05:02,  3.43s/it]
 47%|████▋     | 78/165 [05:05<05:10,  3.57s/it]
 48%|████▊     | 79/165 [05:09<05:17,  3.69s/it]
 48%|████▊     | 80/165 [05:13<05:23,  3.80s/it]
                                                
+
 48%|████▊     | 80/165 [05:13<05:23,  3.80s/it]
 49%|████▉     | 81/165 [05:17<05:24,  3.86s/it]
 50%|████▉     | 82/165 [05:21<05:24,  3.92s/it]
 50%|█████     | 83/165 [05:25<05:24,  3.96s/it]
 51%|█████     | 84/165 [05:29<05:25,  4.01s/it]
 52%|█████▏    | 85/165 [05:33<05:20,  4.01s/it]
 52%|█████▏    | 86/165 [05:37<05:11,  3.95s/it]
 53%|█████▎    | 87/165 [05:41<05:10,  3.98s/it]
 53%|█████▎    | 88/165 [05:43<04:25,  3.45s/it]
 54%|█████▍    | 89/165 [05:48<04:37,  3.66s/it]
 55%|█████▍    | 90/165 [05:52<04:46,  3.81s/it]
                                                
+
 55%|█████▍    | 90/165 [05:52<04:46,  3.81s/it]
 55%|█████▌    | 91/165 [05:56<04:42,  3.82s/it]
 56%|█████▌    | 92/165 [06:00<04:43,  3.89s/it]
 56%|█████▋    | 93/165 [06:03<04:38,  3.87s/it]
 57%|█████▋    | 94/165 [06:07<04:32,  3.84s/it]
 58%|█████▊    | 95/165 [06:11<04:27,  3.82s/it]
 58%|█████▊    | 96/165 [06:15<04:31,  3.93s/it]
 59%|█████▉    | 97/165 [06:19<04:26,  3.92s/it]
 59%|█████▉    | 98/165 [06:23<04:19,  3.88s/it]
 60%|██████    | 99/165 [06:25<03:41,  3.36s/it]
 61%|██████    | 100/165 [06:29<03:53,  3.59s/it]
                                                 
+
 61%|██████    | 100/165 [06:29<03:53,  3.59s/it]
 61%|██████    | 101/165 [06:33<03:56,  3.69s/it]
 62%|██████▏   | 102/165 [06:37<03:57,  3.77s/it]
 62%|██████▏   | 103/165 [06:41<03:54,  3.79s/it]
 63%|██████▎   | 104/165 [06:45<03:57,  3.89s/it]
 64%|██████▎   | 105/165 [06:49<03:54,  3.91s/it]
 64%|██████▍   | 106/165 [06:53<03:49,  3.89s/it]
 65%|██████▍   | 107/165 [06:57<03:51,  3.99s/it]
 65%|██████▌   | 108/165 [07:02<04:01,  4.24s/it]
 66%|██████▌   | 109/165 [07:06<03:59,  4.28s/it]
 67%|██████▋   | 110/165 [07:09<03:24,  3.71s/it]
                                                 
+
 67%|██████▋   | 110/165 [07:09<03:24,  3.71s/it]
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
                                                                  [EVAL] ★ New best eval_rougeL=56.3307 (step=110) — snapshot saved in memory
+
                                                 
+
 67%|██████▋   | 110/165 [07:14<03:24,  3.71s/it]
 67%|██████▋   | 111/165 [07:19<05:01,  5.59s/it]
 68%|██████▊   | 112/165 [07:23<04:34,  5.18s/it]
 68%|██████▊   | 113/165 [07:27<04:10,  4.82s/it]
 69%|██████▉   | 114/165 [07:31<03:53,  4.57s/it]
 70%|██████▉   | 115/165 [07:35<03:40,  4.41s/it]
 70%|███████   | 116/165 [07:39<03:29,  4.28s/it]
 71%|███████   | 117/165 [07:43<03:20,  4.18s/it]
 72%|███████▏  | 118/165 [07:47<03:13,  4.11s/it]
 72%|███████▏  | 119/165 [07:50<03:04,  4.01s/it]
 73%|███████▎  | 120/165 [07:54<02:57,  3.94s/it]
                                                 
+
 73%|███████▎  | 120/165 [07:54<02:57,  3.94s/it]
 73%|███████▎  | 121/165 [07:56<02:29,  3.41s/it]
 74%|███████▍  | 122/165 [08:00<02:32,  3.56s/it]
 75%|███████▍  | 123/165 [08:04<02:34,  3.68s/it]
 75%|███████▌  | 124/165 [08:08<02:33,  3.75s/it]
 76%|��██████▌  | 125/165 [08:12<02:34,  3.86s/it]
 76%|███████▋  | 126/165 [08:16<02:33,  3.93s/it]
 77%|███████▋  | 127/165 [08:21<02:33,  4.05s/it]
 78%|███████▊  | 128/165 [08:25<02:28,  4.01s/it]
 78%|███████▊  | 129/165 [08:29<02:28,  4.13s/it]
 79%|███████▉  | 130/165 [08:33<02:24,  4.13s/it]
                                                 
+
 79%|███████▉  | 130/165 [08:33<02:24,  4.13s/it]
 79%|███████▉  | 131/165 [08:37<02:17,  4.03s/it]
 80%|████████  | 132/165 [08:39<01:56,  3.52s/it]
 81%|████████  | 133/165 [08:44<01:59,  3.74s/it]
 81%|████████  | 134/165 [08:48<01:59,  3.86s/it]
 82%|████████▏ | 135/165 [08:52<02:00,  4.00s/it]
 82%|████████▏ | 136/165 [08:56<01:55,  3.99s/it]
 83%|████████▎ | 137/165 [09:00<01:50,  3.96s/it]
 84%|████████▎ | 138/165 [09:04<01:49,  4.04s/it]
 84%|████████▍ | 139/165 [09:08<01:46,  4.10s/it]
 85%|████████▍ | 140/165 [09:12<01:41,  4.06s/it]
                                                 
+
 85%|████████▍ | 140/165 [09:12<01:41,  4.06s/it]
 85%|████████▌ | 141/165 [09:16<01:37,  4.04s/it]
 86%|████████▌ | 142/165 [09:20<01:31,  3.99s/it]
 87%|████████▋ | 143/165 [09:23<01:18,  3.55s/it]
 87%|████████▋ | 144/165 [09:27<01:16,  3.64s/it]
 88%|████████▊ | 145/165 [09:31<01:15,  3.77s/it]
 88%|████████▊ | 146/165 [09:35<01:13,  3.86s/it]
 89%|████████▉ | 147/165 [09:39<01:09,  3.86s/it]
 90%|████████▉ | 148/165 [09:42<01:05,  3.84s/it]
 90%|█████████ | 149/165 [09:47<01:04,  4.01s/it]
 91%|█████████ | 150/165 [09:51<01:00,  4.02s/it]
                                                 
+
 91%|█████████ | 150/165 [09:51<01:00,  4.02s/it]
 92%|█████████▏| 151/165 [09:55<00:57,  4.10s/it]
 92%|█████████▏| 152/165 [09:59<00:52,  4.05s/it]
 93%|█████████▎| 153/165 [10:03<00:47,  3.98s/it]
 93%|█████████▎| 154/165 [10:05<00:37,  3.45s/it]
 94%|█████████▍| 155/165 [10:09<00:36,  3.61s/it]
 95%|█████████▍| 156/165 [10:13<00:33,  3.67s/it]
 95%|█████████▌| 157/165 [10:17<00:30,  3.76s/it]
 96%|█████████▌| 158/165 [10:21<00:27,  3.88s/it]
 96%|█████████▋| 159/165 [10:25<00:23,  3.86s/it]
 97%|█████████▋| 160/165 [10:29<00:19,  3.85s/it]
                                                 
+
 97%|█████████▋| 160/165 [10:29<00:19,  3.85s/it]
 98%|█████████▊| 161/165 [10:33<00:15,  3.88s/it]
 98%|█████████▊| 162/165 [10:37<00:11,  3.95s/it]
 99%|█████████▉| 163/165 [10:40<00:07,  3.90s/it]
 99%|█████████▉| 164/165 [10:45<00:03,  3.98s/it]
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
                                                                  [EVAL] ★ New best eval_rougeL=59.3540 (step=165) — snapshot saved in memory
+
                                                 
+
                                                 
+
+***** train metrics *****
+  epoch                    =       15.0
+  total_flos               = 46532126GF
+  train_loss               =      0.565
+  train_runtime            = 0:10:53.46
+  train_samples            =        338
+  train_samples_per_second =      7.759
+  train_steps_per_second   =      0.253
+  [EVAL] Restored best model (eval_rougeL=59.3540, 128 tensors)
+[SAVE] LoRA weights → /home/dev-52/minhnguyen/Continual/new_llama_gainlora/logs_and_outputs/superni_order1_llama_srt/outputs/4-task181_outcome_extraction/saved_weights
+[SRT] Loading frozen backbone from /home/dev-52/minhnguyen/Continual/Llama …
+
+[SRT] Frozen backbone attached (moved to cuda:0).
+  [SRT] → Forward extraction (338 samples, batch_size=1)
+  [SRT] Task 'task181_outcome_extraction': PaR=100.0, shrinkage=ridge, n=338
+  [SRT] Wired router: 4 sigs, cur=task181_outcome_extraction, mapping={'task181_outcome_extraction': 0, 'task1572_samsum_summary': 3, 'task363_sst2_polarity_classification': 2, 'task1290_xsum_summarization': 1}
+[SRT] Router: 4 tasks, avg_PaR=100.0, metrics=['ridge', 'ridge', 'ridge', 'ridge']
+  [SRT] Saved signatures → /home/dev-52/minhnguyen/Continual/new_llama_gainlora/logs_and_outputs/superni_order1_llama_srt/outputs/4-task181_outcome_extraction/saved_weights/srt_signatures.npz
+*** Prediction ***
+/home/dev-52/minhnguyen/Continual/root_gainlora/CL_Benchmark/SuperNI/task1572_samsum_summary/test.json
+['Contributors', 'Source', 'URL', 'Categories', 'Reasoning', 'Definition', 'Input_language', 'Output_language', 'Instruction_language', 'Domains', 'Positive Examples', 'Negative Examples', 'Instances', 'Instance License']
+/home/dev-52/minhnguyen/Continual/root_gainlora/CL_Benchmark/SuperNI/task1572_samsum_summary/test.json
+['Contributors', 'Source', 'URL', 'Categories', 'Reasoning', 'Definition', 'Input_language', 'Output_language', 'Instruction_language', 'Domains', 'Positive Examples', 'Negative Examples', 'Instances', 'Instance License']
+/home/dev-52/minhnguyen/Continual/root_gainlora/CL_Benchmark/SuperNI/task363_sst2_polarity_classification/test.json
+['URL', 'Categories', 'Input_language', 'Output_language', 'Instruction_language', 'Domains', 'Positive Examples', 'Negative Examples', 'Instances', 'Definition']
+/home/dev-52/minhnguyen/Continual/root_gainlora/CL_Benchmark/SuperNI/task1572_samsum_summary/test.json
+['Contributors', 'Source', 'URL', 'Categories', 'Reasoning', 'Definition', 'Input_language', 'Output_language', 'Instruction_language', 'Domains', 'Positive Examples', 'Negative Examples', 'Instances', 'Instance License']
+/home/dev-52/minhnguyen/Continual/root_gainlora/CL_Benchmark/SuperNI/task363_sst2_polarity_classification/test.json
+['URL', 'Categories', 'Input_language', 'Output_language', 'Instruction_language', 'Domains', 'Positive Examples', 'Negative Examples', 'Instances', 'Definition']
+/home/dev-52/minhnguyen/Continual/root_gainlora/CL_Benchmark/SuperNI/task1290_xsum_summarization/test.json
+['Contributors', 'Source', 'URL', 'Categories', 'Reasoning', 'Definition', 'Input_language', 'Output_language', 'Instruction_language', 'Domains', 'Positive Examples', 'Negative Examples', 'Instances', 'Instance License']
+/home/dev-52/minhnguyen/Continual/root_gainlora/CL_Benchmark/SuperNI/task1572_samsum_summary/test.json
+['Contributors', 'Source', 'URL', 'Categories', 'Reasoning', 'Definition', 'Input_language', 'Output_language', 'Instruction_language', 'Domains', 'Positive Examples', 'Negative Examples', 'Instances', 'Instance License']
+/home/dev-52/minhnguyen/Continual/root_gainlora/CL_Benchmark/SuperNI/task363_sst2_polarity_classification/test.json
+['URL', 'Categories', 'Input_language', 'Output_language', 'Instruction_language', 'Domains', 'Positive Examples', 'Negative Examples', 'Instances', 'Definition']
+/home/dev-52/minhnguyen/Continual/root_gainlora/CL_Benchmark/SuperNI/task1290_xsum_summarization/test.json
+['Contributors', 'Source', 'URL', 'Categories', 'Reasoning', 'Definition', 'Input_language', 'Output_language', 'Instruction_language', 'Domains', 'Positive Examples', 'Negative Examples', 'Instances', 'Instance License']
+/home/dev-52/minhnguyen/Continual/root_gainlora/CL_Benchmark/SuperNI/task181_outcome_extraction/test.json
+['Contributors', 'Source', 'URL', 'Categories', 'Reasoning', 'Definition', 'Input_language', 'Output_language', 'Instruction_language', 'Domains', 'Positive Examples', 'Negative Examples', 'Instances', 'Instance License']
+  [SRT-INIT] router tasks=['task1572_samsum_summary', 'task363_sst2_polarity_classification', 'task1290_xsum_summarization', 'task181_outcome_extraction']
+  [SRT-INIT] task_id_to_idx={'task181_outcome_extraction': 0, 'task1572_samsum_summary': 3, 'task363_sst2_polarity_classification': 2, 'task1290_xsum_summarization': 1}
+  [SRT-INIT] use_srt_routing=True
+  [SRT-INIT] encoder_frozen=FrozenLlamaExtractor
+
+
+
+  ┌──────────────────────────────────────────────────────────────────────────────────────────────────┐
+  │           SRT ROUTING ACCURACY SUMMARY                                                      │
+  ├──────────────────────────────────────────────────────────────────────────────────────────────────┤
+  │  GT=task1290_xsum_summarization       slot_acc=100.0%  label_acc=100.0%  disagree=  0  [slot1=100]│
+  │  GT=task1572_samsum_summary           slot_acc=100.0%  label_acc=100.0%  disagree=  0  [slot3=20]│
+  │  GT=task181_outcome_extraction        slot_acc=100.0%  label_acc=100.0%  disagree=  0  [slot0=43]│
+  │  GT=task363_sst2_polarity_classifica  slot_acc=100.0%  label_acc=100.0%  disagree=  0  [slot2=100]│
+  ├──────────────────────────────────────────────────────────────────────────────────────────────────┤
+  │  OVERALL: slot_acc=100.0% (263/263)  label_acc=100.0% (263/263)  disagree=  0                    │
+  └──────────────────────────────────────────────────────────────────────────────────────────────────┘
+***** predict metrics *****
+  epoch                                                        =       15.0
+  predict_eval_rougeL                                          =    58.7031
+  predict_eval_rougeL_for_CL                                   =    58.7031
+  predict_eval_rougeL_for_task1290_xsum_summarization          =    29.5925
+  predict_eval_rougeL_for_task1572_samsum_summary              =    41.3728
+  predict_eval_rougeL_for_task181_outcome_extraction           =     59.354
+  predict_eval_rougeL_for_task363_sst2_polarity_classification =       91.0
+  predict_exact_match                                          =     43.346
+  predict_exact_match_for_CL                                   =     43.346
+  predict_exact_match_for_task1290_xsum_summarization          =        0.0
+  predict_exact_match_for_task1572_samsum_summary              =        0.0
+  predict_exact_match_for_task181_outcome_extraction           =    53.4884
+  predict_exact_match_for_task363_sst2_polarity_classification =       91.0
+  predict_gen_len                                              =     12.654
+  predict_global_step                                          =        165
+  predict_rouge1                                               =    62.1102
+  predict_rouge1_for_CL                                        =    62.1102
+  predict_rouge1_for_task1290_xsum_summarization               =      36.75
+  predict_rouge1_for_task1572_samsum_summary                   =    50.3879
+  predict_rouge1_for_task181_outcome_extraction                =     59.354
+  predict_rouge1_for_task363_sst2_polarity_classification      =       91.0
+  predict_runtime                                              = 0:06:16.28
+  predict_samples                                              =        263
+  predict_samples_per_second                                   =      0.699
+  predict_steps_per_second                                     =      0.699
+[2026-04-29 21:39:02,840] [INFO] [launch.py:367:main] Process 739565 exits successfully.