Forewarn-Colosseum-Model_Data / logs /vlm_train_move_hanger_gpu1.log

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	ROBOMIMIC WARNING(
	No private macro file found!
	It is recommended to use a private macro file
	To setup, run: python /home/zxn/anaconda3/envs/dreamer/lib/python3.10/site-packages/robomimic/scripts/setup_macros.py
	)
	Warning: unknown parameter wm_ckpt
	Warning: unknown parameter target_modules
	wandb: Using wandb-core as the SDK backend. Please refer to https://wandb.me/wandb-core for more information.
	wandb: Currently logged in as: yukizhang0527 (yukizhang0527-harbin-institute-of-technology). Use `wandb login --relogin` to force relogin
	wandb: - Waiting for wandb.init()... wandb: \ Waiting for wandb.init()... wandb: \| Waiting for wandb.init()... wandb: / Waiting for wandb.init()... wandb: Tracking run with wandb version 0.18.3
	wandb: Run data is saved locally in /home/zxn/Forewarn/wandb/run-20260409_101228-fk4jc4vy
	wandb: Run `wandb offline` to turn off syncing.
	wandb: Syncing run vlm_lora_move_hanger
	wandb: ⭐️ View project at https://wandb.ai/yukizhang0527-harbin-institute-of-technology/llama_recipes
	wandb: 🚀 View run at https://wandb.ai/yukizhang0527-harbin-institute-of-technology/llama_recipes/runs/fk4jc4vy
	Warning: custom_dataset does not accept parameter: custom_dataset.task_name
	Loading checkpoint shards: 0%\| \| 0/4 [00:00<?, ?it/s] Loading checkpoint shards: 25%\|██▌ \| 1/4 [00:00<00:00, 6.01it/s] Loading checkpoint shards: 50%\|█████ \| 2/4 [00:00<00:00, 6.25it/s] Loading checkpoint shards: 75%\|███████▌ \| 3/4 [00:00<00:00, 6.11it/s] Loading checkpoint shards: 100%\|██████████\| 4/4 [00:00<00:00, 6.33it/s] Loading checkpoint shards: 100%\|██████████\| 4/4 [00:00<00:00, 6.25it/s]
	--> Model /data/colosseum_dataset/wm_data/mllama_base/Llama-3.2-11B-Vision-Instruct/custom

	--> /data/colosseum_dataset/wm_data/mllama_base/Llama-3.2-11B-Vision-Instruct/custom has 9808.885776 Million params

	loading world model from ckpt path /home/zxn/Forewarn/logs/dreamer_cont/move_hanger/0408/102201/best_pretrain_joint_0_00.pt
	Updating the agent for 3200 every 100 env steps
	Observation shapes: {'cam_front_view_image': (64, 64, 3), 'cam_wrist_view_image': (64, 64, 3), 'discount': (1,), 'state': (8,)}
	Encoder CNN shapes: {'cam_front_view_image': (64, 64, 3), 'cam_wrist_view_image': (64, 64, 3)}
	Encoder MLP shapes: {'state': (8,)}
	Decoder CNN shapes: {'cam_front_view_image': (64, 64, 3), 'cam_wrist_view_image': (64, 64, 3)}
	Decoder MLP shapes: {'state': (8,)}
	Optimizer model_opt has 18626830 variables.
	Freezing embeddings from encoder during training
	Optimizer pretrain has 17410062 variables.
	trainable params: 26,251,520 \|\| all params: 9,853,764,126 \|\| trainable%: 0.2664
	dataset config 1
	Repo card metadata block was not found. Setting CardData to empty.
	--> Training Set Length = 235
	Repo card metadata block was not found. Setting CardData to empty.
	--> Validation Set Length = 145
	length of dataset_train 235
	custom_data_collator is used
	--> Num of Training Set Batches loaded = 117
	--> Num of Validation Set Batches loaded = 145
	Can not find the custom data_collator in the dataset.py file (/home/zxn/Forewarn/vlm/llama-recipes/recipes/quickstart/finetuning/datasets/colosseum_dataset_latent.py).
	Using the default data_collator instead.
	Starting epoch 0/5
	train_config.max_train_step: 0
	/home/zxn/anaconda3/envs/dreamer/lib/python3.10/site-packages/torch/cuda/memory.py:330: FutureWarning: torch.cuda.reset_max_memory_allocated now calls torch.cuda.reset_peak_memory_stats, which resets /all/ peak memory stats.
	warnings.warn(
	Training Epoch: 1: 0%\|[34m [0m\| 0/23 [00:00<?, ?it/s]/home/zxn/anaconda3/envs/dreamer/lib/python3.10/site-packages/torch/_tensor.py:893: UserWarning: non-inplace resize is deprecated
	warnings.warn("non-inplace resize is deprecated")
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88/117 completed (loss: 0.017659349367022514): 78%\|[34m███████▊ [0m\| 18/23 [00:30<00:08, 1.67s/it] Training Epoch: 1/5, step 89/117 completed (loss: 0.016904575750231743): 78%\|[34m███████▊ [0m\| 18/23 [00:30<00:08, 1.67s/it] Training Epoch: 1/5, step 90/117 completed (loss: 0.008247880265116692): 78%\|[34m███████▊ [0m\| 18/23 [00:31<00:08, 1.67s/it] Training Epoch: 1/5, step 91/117 completed (loss: 0.021101439371705055): 78%\|[34m███████▊ [0m\| 18/23 [00:31<00:08, 1.67s/it] Training Epoch: 1/5, step 92/117 completed (loss: 0.008239339105784893): 78%\|[34m███████▊ [0m\| 18/23 [00:31<00:08, 1.67s/it] Training Epoch: 1/5, step 93/117 completed (loss: 0.008673922158777714): 78%\|[34m███████▊ [0m\| 18/23 [00:32<00:08, 1.67s/it] Training Epoch: 1/5, step 93/117 completed (loss: 0.008673922158777714): 83%\|[34m████████▎ [0m\| 19/23 [00:32<00:06, 1.66s/it] Training Epoch: 1/5, step 94/117 completed (loss: 0.008677404373884201): 83%\|[34m████████▎ [0m\| 19/23 [00:32<00:06, 1.66s/it] Training Epoch: 1/5, step 95/117 completed (loss: 0.0320374071598053): 83%\|[34m████████▎ [0m\| 19/23 [00:32<00:06, 1.66s/it] Training Epoch: 1/5, step 96/117 completed (loss: 0.03203871473670006): 83%\|[34m████████▎ [0m\| 19/23 [00:33<00:06, 1.66s/it] Training Epoch: 1/5, step 97/117 completed (loss: 0.03203645348548889): 83%\|[34m████████▎ [0m\| 19/23 [00:33<00:06, 1.66s/it] Training Epoch: 1/5, step 98/117 completed (loss: 0.004320335574448109): 83%\|[34m████████▎ [0m\| 19/23 [00:33<00:06, 1.66s/it] Training Epoch: 1/5, step 98/117 completed (loss: 0.004320335574448109): 87%\|[34m████████▋ [0m\| 20/23 [00:33<00:04, 1.60s/it] Training Epoch: 1/5, step 99/117 completed (loss: 0.00431021535769105): 87%\|[34m████████▋ [0m\| 20/23 [00:33<00:04, 1.60s/it] Training Epoch: 1/5, step 100/117 completed (loss: 0.03509899601340294): 87%\|[34m████████▋ [0m\| 20/23 [00:34<00:04, 1.60s/it] Training Epoch: 1/5, step 101/117 completed (loss: 0.03406235948204994): 87%\|[34m████████▋ [0m\| 20/23 [00:34<00:04, 1.60s/it] Training Epoch: 1/5, step 102/117 completed (loss: 0.003648315789178014): 87%\|[34m████████▋ [0m\| 20/23 [00:34<00:04, 1.60s/it] Training Epoch: 1/5, step 103/117 completed (loss: 0.036131903529167175): 87%\|[34m████████▋ [0m\| 20/23 [00:35<00:04, 1.60s/it] Training Epoch: 1/5, step 103/117 completed (loss: 0.036131903529167175): 91%\|[34m█████████▏[0m\| 21/23 [00:35<00:03, 1.62s/it] Training Epoch: 1/5, step 104/117 completed (loss: 0.03613198176026344): 91%\|[34m█████████▏[0m\| 21/23 [00:35<00:03, 1.62s/it] Training Epoch: 1/5, step 105/117 completed (loss: 0.005435926374047995): 91%\|[34m█████████▏[0m\| 21/23 [00:35<00:03, 1.62s/it] Training Epoch: 1/5, step 106/117 completed (loss: 0.005137276370078325): 91%\|[34m█████████▏[0m\| 21/23 [00:36<00:03, 1.62s/it] Training Epoch: 1/5, step 107/117 completed (loss: 0.028171075507998466): 91%\|[34m█████████▏[0m\| 21/23 [00:36<00:03, 1.62s/it] Training Epoch: 1/5, step 108/117 completed (loss: 0.005721846129745245): 91%\|[34m█████████▏[0m\| 21/23 [00:36<00:03, 1.62s/it] Training Epoch: 1/5, step 108/117 completed (loss: 0.005721846129745245): 96%\|[34m█████████▌[0m\| 22/23 [00:37<00:01, 1.66s/it] Training Epoch: 1/5, step 109/117 completed (loss: 0.028166836127638817): 96%\|[34m█████████▌[0m\| 22/23 [00:37<00:01, 1.66s/it] Training Epoch: 1/5, step 110/117 completed (loss: 0.020328283309936523): 96%\|[34m█████████▌[0m\| 22/23 [00:37<00:01, 1.66s/it] Training Epoch: 1/5, step 111/117 completed (loss: 0.01953105814754963): 96%\|[34m█████████▌[0m\| 22/23 [00:37<00:01, 1.66s/it] Training Epoch: 1/5, step 112/117 completed (loss: 0.020326588302850723): 96%\|[34m█████████▌[0m\| 22/23 [00:38<00:01, 1.66s/it] Training Epoch: 1/5, step 113/117 completed (loss: 0.00921958964318037): 96%\|[34m█████████▌[0m\| 22/23 [00:38<00:01, 1.66s/it] Training Epoch: 1/5, step 113/117 completed (loss: 0.00921958964318037): 100%\|[34m██████████[0m\| 23/23 [00:38<00:00, 1.63s/it] Training Epoch: 1/5, step 114/117 completed (loss: 0.019531382247805595): 100%\|[34m██████████[0m\| 23/23 [00:38<00:00, 1.63s/it] Training Epoch: 1/5, step 115/117 completed (loss: 0.011574520729482174): 100%\|[34m██████████[0m\| 23/23 [00:39<00:00, 1.63s/it] Training Epoch: 1/5, step 115/117 completed (loss: 0.011574520729482174): : 24it [00:39, 1.34s/it] Training Epoch: 1/5, step 116/117 completed (loss: 0.01699228771030903): : 24it [00:39, 1.34s/it] Training Epoch: 1/5, step 116/117 completed (loss: 0.01699228771030903): : 24it [00:39, 1.65s/it]
	Max CUDA memory allocated was 19 GB
	Max CUDA memory reserved was 19 GB
	Peak active CUDA memory was 19 GB
	CUDA Malloc retries : 0
	CPU Total Peak Memory consumed during the train (max): 2 GB
	evaluating Epoch: 0%\|[32m [0m\| 0/145 [00:00<?, ?it/s] evaluating Epoch: 1%\|[32m [0m\| 1/145 [00:00<00:38, 3.73it/s] evaluating Epoch: 1%\|[32m▏ [0m\| 2/145 [00:00<00:27, 5.26it/s] evaluating Epoch: 2%\|[32m▏ [0m\| 3/145 [00:00<00:23, 6.08it/s] evaluating Epoch: 3%\|[32m▎ [0m\| 4/145 [00:00<00:21, 6.47it/s] evaluating Epoch: 3%\|[32m▎ [0m\| 5/145 [00:00<00:20, 6.72it/s] evaluating Epoch: 4%\|[32m▍ [0m\| 6/145 [00:00<00:21, 6.52it/s] evaluating Epoch: 5%\|[32m▍ [0m\| 7/145 [00:01<00:20, 6.80it/s] evaluating Epoch: 6%\|[32m▌ [0m\| 8/145 [00:01<00:19, 7.04it/s] evaluating Epoch: 6%\|[32m▌ [0m\| 9/145 [00:01<00:18, 7.16it/s] evaluating Epoch: 7%\|[32m▋ [0m\| 10/145 [00:01<00:18, 7.34it/s] evaluating Epoch: 8%\|[32m▊ [0m\| 11/145 [00:01<00:17, 7.47it/s] evaluating Epoch: 8%\|[32m▊ [0m\| 12/145 [00:01<00:17, 7.49it/s] evaluating Epoch: 9%\|[32m▉ [0m\| 13/145 [00:01<00:17, 7.45it/s] evaluating Epoch: 10%\|[32m▉ [0m\| 14/145 [00:02<00:17, 7.42it/s] evaluating Epoch: 10%\|[32m█ [0m\| 15/145 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	eval_ppl=tensor(1.1342, device='cuda:0') eval_epoch_loss=tensor(0.1259, device='cuda:0')
	we are about to save the PEFT modules
	PEFT modules are saved in /data/colosseum_dataset/wm_data/finetuned_models/vlm_move_hanger directory
	best eval loss on epoch 1 is 0.1259218156337738
	Epoch 1: train_perplexity=1.2393, train_epoch_loss=0.2145, epoch time 40.05342884827405s
	Starting epoch 1/5
	train_config.max_train_step: 0
	Training Epoch: 2: 0%\|[34m [0m\| 0/23 [00:00<?, ?it/s] Training Epoch: 2/5, step 0/117 completed (loss: 0.007026622537523508): 0%\|[34m [0m\| 0/23 [00:00<?, ?it/s] Training Epoch: 2/5, step 1/117 completed (loss: 0.007021935191005468): 0%\|[34m [0m\| 0/23 [00:00<?, ?it/s] Training Epoch: 2/5, step 2/117 completed (loss: 0.006670953240245581): 0%\|[34m [0m\| 0/23 [00:01<?, ?it/s] Training Epoch: 2/5, step 3/117 completed (loss: 0.02543712593615055): 0%\|[34m [0m\| 0/23 [00:01<?, ?it/s] Training Epoch: 2/5, step 3/117 completed (loss: 0.02543712593615055): 4%\|[34m▍ [0m\| 1/23 [00:01<00:43, 1.98s/it] Training Epoch: 2/5, step 4/117 completed (loss: 0.024511082097887993): 4%\|[34m▍ [0m\| 1/23 [00:01<00:43, 1.98s/it] Training Epoch: 2/5, step 5/117 completed (loss: 0.005098418332636356): 4%\|[34m▍ [0m\| 1/23 [00:02<00:43, 1.98s/it] Training Epoch: 2/5, step 6/117 completed (loss: 0.0050905616953969): 4%\|[34m▍ [0m\| 1/23 [00:02<00:43, 1.98s/it] Training Epoch: 2/5, step 7/117 completed (loss: 0.004833019804209471): 4%\|[34m▍ [0m\| 1/23 [00:02<00:43, 1.98s/it] Training Epoch: 2/5, step 8/117 completed (loss: 0.029341552406549454): 4%\|[34m▍ [0m\| 1/23 [00:03<00:43, 1.98s/it] Training Epoch: 2/5, step 8/117 completed (loss: 0.029341552406549454): 9%\|[34m▊ [0m\| 2/23 [00:03<00:38, 1.81s/it] Training Epoch: 2/5, step 9/117 completed (loss: 0.02932901121675968): 9%\|[34m▊ [0m\| 2/23 [00:03<00:38, 1.81s/it] Training Epoch: 2/5, step 10/117 completed (loss: 0.03245056793093681): 9%\|[34m▊ [0m\| 2/23 [00:03<00:38, 1.81s/it] Training Epoch: 2/5, step 11/117 completed (loss: 0.0045676338486373425): 9%\|[34m▊ [0m\| 2/23 [00:04<00:38, 1.81s/it] Training Epoch: 2/5, step 12/117 completed (loss: 0.032446712255477905): 9%\|[34m▊ [0m\| 2/23 [00:04<00:38, 1.81s/it] Training Epoch: 2/5, step 13/117 completed (loss: 0.00455852784216404): 9%\|[34m▊ [0m\| 2/23 [00:04<00:38, 1.81s/it] Training Epoch: 2/5, step 13/117 completed (loss: 0.00455852784216404): 13%\|[34m█▎ [0m\| 3/23 [00:05<00:33, 1.67s/it] Training Epoch: 2/5, step 14/117 completed (loss: 0.0045675295405089855): 13%\|[34m█▎ [0m\| 3/23 [00:05<00:33, 1.67s/it] Training Epoch: 2/5, step 15/117 completed (loss: 0.004563211929053068): 13%\|[34m█▎ [0m\| 3/23 [00:05<00:33, 1.67s/it] Training Epoch: 2/5, step 16/117 completed (loss: 0.004831889644265175): 13%\|[34m█▎ [0m\| 3/23 [00:05<00:33, 1.67s/it] Training Epoch: 2/5, step 17/117 completed (loss: 0.030336786061525345): 13%\|[34m█▎ [0m\| 3/23 [00:06<00:33, 1.67s/it] Training Epoch: 2/5, step 18/117 completed (loss: 0.004567534197121859): 13%\|[34m█▎ [0m\| 3/23 [00:06<00:33, 1.67s/it] Training Epoch: 2/5, step 18/117 completed (loss: 0.004567534197121859): 17%\|[34m█▋ [0m\| 4/23 [00:06<00:32, 1.73s/it] Training Epoch: 2/5, step 19/117 completed (loss: 0.004828555043786764): 17%\|[34m█▋ [0m\| 4/23 [00:06<00:32, 1.73s/it] Training Epoch: 2/5, step 20/117 completed (loss: 0.005095365922898054): 17%\|[34m█▋ [0m\| 4/23 [00:07<00:32, 1.73s/it] Training Epoch: 2/5, step 21/117 completed (loss: 0.02829686366021633): 17%\|[34m█▋ [0m\| 4/23 [00:07<00:32, 1.73s/it] Training Epoch: 2/5, step 22/117 completed (loss: 0.005096774082630873): 17%\|[34m█▋ [0m\| 4/23 [00:07<00:32, 1.73s/it] Training Epoch: 2/5, step 23/117 completed (loss: 0.029288509860634804): 17%\|[34m█▋ [0m\| 4/23 [00:08<00:32, 1.73s/it] Training Epoch: 2/5, step 23/117 completed (loss: 0.029288509860634804): 22%\|[34m██▏ [0m\| 5/23 [00:08<00:30, 1.68s/it] Training Epoch: 2/5, step 24/117 completed (loss: 0.029292751103639603): 22%\|[34m██▏ [0m\| 5/23 [00:08<00:30, 1.68s/it] Training Epoch: 2/5, step 25/117 completed (loss: 0.023511452600359917): 22%\|[34m██▏ [0m\| 5/23 [00:08<00:30, 1.68s/it] Training Epoch: 2/5, step 26/117 completed (loss: 0.023501375690102577): 22%\|[34m██▏ [0m\| 5/23 [00:09<00:30, 1.68s/it] Training Epoch: 2/5, step 27/117 completed (loss: 0.0063243890181183815): 22%\|[34m██▏ [0m\| 5/23 [00:09<00:30, 1.68s/it] Training Epoch: 2/5, step 28/117 completed (loss: 0.023518512025475502): 22%\|[34m██▏ [0m\| 5/23 [00:09<00:30, 1.68s/it] Training Epoch: 2/5, step 28/117 completed (loss: 0.023518512025475502): 26%\|[34m██▌ [0m\| 6/23 [00:10<00:27, 1.64s/it] Training Epoch: 2/5, step 29/117 completed (loss: 0.0063208648934960365): 26%\|[34m██▌ [0m\| 6/23 [00:10<00:27, 1.64s/it] Training Epoch: 2/5, step 30/117 completed (loss: 0.018454324454069138): 26%\|[34m██▌ [0m\| 6/23 [00:10<00:27, 1.64s/it] Training Epoch: 2/5, step 31/117 completed (loss: 0.009545947425067425): 26%\|[34m██▌ [0m\| 6/23 [00:10<00:27, 1.64s/it] Training Epoch: 2/5, step 32/117 completed (loss: 0.009089703671634197): 26%\|[34m██▌ [0m\| 6/23 [00:11<00:27, 1.64s/it] Training Epoch: 2/5, step 33/117 completed (loss: 0.009094237349927425): 26%\|[34m██▌ [0m\| 6/23 [00:11<00:27, 1.64s/it] Training Epoch: 2/5, step 33/117 completed (loss: 0.009094237349927425): 30%\|[34m███ [0m\| 7/23 [00:11<00:26, 1.65s/it] Training Epoch: 2/5, step 34/117 completed (loss: 0.017695944756269455): 30%\|[34m███ [0m\| 7/23 [00:11<00:26, 1.65s/it] Training Epoch: 2/5, step 35/117 completed (loss: 0.012806236743927002): 30%\|[34m███ [0m\| 7/23 [00:12<00:26, 1.65s/it] Training Epoch: 2/5, step 36/117 completed (loss: 0.01271452009677887): 30%\|[34m███ [0m\| 7/23 [00:12<00:26, 1.65s/it] Training Epoch: 2/5, step 37/117 completed (loss: 0.011582980863749981): 30%\|[34m███ [0m\| 7/23 [00:12<00:26, 1.65s/it] Training Epoch: 2/5, step 38/117 completed (loss: 0.011586996726691723): 30%\|[34m███ [0m\| 7/23 [00:13<00:26, 1.65s/it] Training Epoch: 2/5, step 38/117 completed (loss: 0.011586996726691723): 35%\|[34m███▍ [0m\| 8/23 [00:13<00:25, 1.73s/it] Training Epoch: 2/5, step 39/117 completed (loss: 0.011586520820856094): 35%\|[34m███▍ [0m\| 8/23 [00:13<00:25, 1.73s/it] Training Epoch: 2/5, step 40/117 completed (loss: 0.01116449199616909): 35%\|[34m███▍ [0m\| 8/23 [00:14<00:25, 1.73s/it] Training Epoch: 2/5, step 41/117 completed (loss: 0.012705248780548573): 35%\|[34m███▍ [0m\| 8/23 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Training Epoch: 2/5, step 48/117 completed (loss: 0.013916459865868092): 43%\|[34m████▎ [0m\| 10/23 [00:16<00:21, 1.66s/it] Training Epoch: 2/5, step 49/117 completed (loss: 0.013917050324380398): 43%\|[34m████▎ [0m\| 10/23 [00:16<00:21, 1.66s/it] Training Epoch: 2/5, step 50/117 completed (loss: 0.011683397926390171): 43%\|[34m████▎ [0m\| 10/23 [00:17<00:21, 1.66s/it] Training Epoch: 2/5, step 51/117 completed (loss: 0.012128344736993313): 43%\|[34m████▎ [0m\| 10/23 [00:17<00:21, 1.66s/it] Training Epoch: 2/5, step 52/117 completed (loss: 0.012694385834038258): 43%\|[34m████▎ [0m\| 10/23 [00:17<00:21, 1.66s/it] Training Epoch: 2/5, step 53/117 completed (loss: 0.011683701537549496): 43%\|[34m████▎ [0m\| 10/23 [00:18<00:21, 1.66s/it] Training Epoch: 2/5, step 53/117 completed (loss: 0.011683701537549496): 48%\|[34m████▊ [0m\| 11/23 [00:18<00:19, 1.65s/it] Training Epoch: 2/5, step 54/117 completed (loss: 0.012695378623902798): 48%\|[34m████▊ [0m\| 11/23 [00:18<00:19, 1.65s/it] Training 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2/5, step 68/117 completed (loss: 0.011547247879207134): 61%\|[34m██████ [0m\| 14/23 [00:23<00:14, 1.62s/it] Training Epoch: 2/5, step 69/117 completed (loss: 0.011019174009561539): 61%\|[34m██████ [0m\| 14/23 [00:23<00:14, 1.62s/it] Training Epoch: 2/5, step 70/117 completed (loss: 0.01006337534636259): 61%\|[34m██████ [0m\| 14/23 [00:23<00:14, 1.62s/it] Training Epoch: 2/5, step 71/117 completed (loss: 0.01154430489987135): 61%\|[34m██████ [0m\| 14/23 [00:24<00:14, 1.62s/it] Training Epoch: 2/5, step 72/117 completed (loss: 0.011544225737452507): 61%\|[34m██████ [0m\| 14/23 [00:24<00:14, 1.62s/it] Training Epoch: 2/5, step 73/117 completed (loss: 0.010565278120338917): 61%\|[34m██████ [0m\| 14/23 [00:24<00:14, 1.62s/it] Training Epoch: 2/5, step 73/117 completed (loss: 0.010565278120338917): 65%\|[34m██████▌ [0m\| 15/23 [00:24<00:13, 1.63s/it] Training Epoch: 2/5, step 74/117 completed (loss: 0.010566866025328636): 65%\|[34m██████▌ [0m\| 15/23 [00:24<00:13, 1.63s/it] Training Epoch: 2/5, step 75/117 completed (loss: 0.011542613618075848): 65%\|[34m██████▌ [0m\| 15/23 [00:25<00:13, 1.63s/it] Training Epoch: 2/5, step 76/117 completed (loss: 0.00909024104475975): 65%\|[34m██████▌ [0m\| 15/23 [00:25<00:13, 1.63s/it] Training Epoch: 2/5, step 77/117 completed (loss: 0.011541350744664669): 65%\|[34m██████▌ [0m\| 15/23 [00:26<00:13, 1.63s/it] Training Epoch: 2/5, step 78/117 completed (loss: 0.012108348309993744): 65%\|[34m██████▌ [0m\| 15/23 [00:26<00:13, 1.63s/it] Training Epoch: 2/5, step 78/117 completed (loss: 0.012108348309993744): 70%\|[34m██████▉ [0m\| 16/23 [00:26<00:11, 1.69s/it] Training Epoch: 2/5, step 79/117 completed (loss: 0.009593687020242214): 70%\|[34m██████▉ [0m\| 16/23 [00:26<00:11, 1.69s/it] Training Epoch: 2/5, step 80/117 completed (loss: 0.011538987047970295): 70%\|[34m██████▉ [0m\| 16/23 [00:27<00:11, 1.69s/it] Training Epoch: 2/5, step 81/117 completed (loss: 0.011539872735738754): 70%\|[34m██████▉ [0m\| 16/23 [00:27<00:11, 1.69s/it] Training Epoch: 2/5, step 82/117 completed (loss: 0.009552603587508202): 70%\|[34m██████▉ [0m\| 16/23 [00:27<00:11, 1.69s/it] Training Epoch: 2/5, step 83/117 completed (loss: 0.009086120873689651): 70%\|[34m██████▉ [0m\| 16/23 [00:28<00:11, 1.69s/it] Training Epoch: 2/5, step 83/117 completed (loss: 0.009086120873689651): 74%\|[34m███████▍ [0m\| 17/23 [00:28<00:09, 1.66s/it] Training Epoch: 2/5, step 84/117 completed (loss: 0.0105984415858984): 74%\|[34m███████▍ [0m\| 17/23 [00:28<00:09, 1.66s/it] Training Epoch: 2/5, step 85/117 completed (loss: 0.011009667068719864): 74%\|[34m███████▍ [0m\| 17/23 [00:28<00:09, 1.66s/it] Training Epoch: 2/5, step 86/117 completed (loss: 0.010155159048736095): 74%\|[34m███████▍ [0m\| 17/23 [00:28<00:09, 1.66s/it] Training Epoch: 2/5, step 87/117 completed (loss: 0.011538274586200714): 74%\|[34m███████▍ [0m\| 17/23 [00:29<00:09, 1.66s/it] Training Epoch: 2/5, step 88/117 completed (loss: 0.011009334586560726): 74%\|[34m███████▍ [0m\| 17/23 [00:29<00:09, 1.66s/it] Training Epoch: 2/5, step 88/117 completed (loss: 0.011009334586560726): 78%\|[34m███████▊ [0m\| 18/23 [00:29<00:08, 1.62s/it] Training Epoch: 2/5, step 89/117 completed (loss: 0.008192185312509537): 78%\|[34m███████▊ [0m\| 18/23 [00:29<00:08, 1.62s/it] Training Epoch: 2/5, step 90/117 completed (loss: 0.00998955499380827): 78%\|[34m███████▊ [0m\| 18/23 [00:30<00:08, 1.62s/it] Training Epoch: 2/5, step 91/117 completed (loss: 0.010479754768311977): 78%\|[34m███████▊ [0m\| 18/23 [00:30<00:08, 1.62s/it] Training Epoch: 2/5, step 92/117 completed (loss: 0.00949926394969225): 78%\|[34m███████▊ [0m\| 18/23 [00:30<00:08, 1.62s/it] Training Epoch: 2/5, step 93/117 completed (loss: 0.008616231381893158): 78%\|[34m███████▊ [0m\| 18/23 [00:31<00:08, 1.62s/it] Training Epoch: 2/5, step 93/117 completed (loss: 0.008616231381893158): 83%\|[34m████████▎ [0m\| 19/23 [00:31<00:06, 1.67s/it] Training Epoch: 2/5, step 94/117 completed (loss: 0.008616754785180092): 83%\|[34m████████▎ [0m\| 19/23 [00:31<00:06, 1.67s/it] Training Epoch: 2/5, step 95/117 completed (loss: 0.008614777587354183): 83%\|[34m████████▎ [0m\| 19/23 [00:32<00:06, 1.67s/it] Training Epoch: 2/5, step 96/117 completed (loss: 0.008590023964643478): 83%\|[34m████████▎ [0m\| 19/23 [00:32<00:06, 1.67s/it] Training Epoch: 2/5, step 97/117 completed (loss: 0.009545262902975082): 83%\|[34m████████▎ [0m\| 19/23 [00:32<00:06, 1.67s/it] Training Epoch: 2/5, step 98/117 completed (loss: 0.008591227233409882): 83%\|[34m████████▎ [0m\| 19/23 [00:33<00:06, 1.67s/it] Training Epoch: 2/5, step 98/117 completed (loss: 0.008591227233409882): 87%\|[34m████████▋ [0m\| 20/23 [00:33<00:04, 1.65s/it] Training Epoch: 2/5, step 99/117 completed (loss: 0.008590929210186005): 87%\|[34m████████▋ [0m\| 20/23 [00:33<00:04, 1.65s/it] Training Epoch: 2/5, step 100/117 completed (loss: 0.006984254810959101): 87%\|[34m████████▋ [0m\| 20/23 [00:33<00:04, 1.65s/it] Training Epoch: 2/5, step 101/117 completed (loss: 0.009543568827211857): 87%\|[34m████████▋ [0m\| 20/23 [00:33<00:04, 1.65s/it] Training Epoch: 2/5, step 102/117 completed (loss: 0.006984218955039978): 87%\|[34m████████▋ [0m\| 20/23 [00:34<00:04, 1.65s/it] Training Epoch: 2/5, step 103/117 completed (loss: 0.008196677081286907): 87%\|[34m████████▋ [0m\| 20/23 [00:34<00:04, 1.65s/it] Training Epoch: 2/5, step 103/117 completed (loss: 0.008196677081286907): 91%\|[34m█████████▏[0m\| 21/23 [00:34<00:03, 1.60s/it] Training Epoch: 2/5, step 104/117 completed (loss: 0.006983855273574591): 91%\|[34m█████████▏[0m\| 21/23 [00:34<00:03, 1.60s/it] Training Epoch: 2/5, step 105/117 completed (loss: 0.005958686117082834): 91%\|[34m█████████▏[0m\| 21/23 [00:35<00:03, 1.60s/it] Training Epoch: 2/5, step 106/117 completed (loss: 0.005637133959680796): 91%\|[34m█████████▏[0m\| 21/23 [00:35<00:03, 1.60s/it] Training Epoch: 2/5, step 107/117 completed (loss: 0.005637442227452993): 91%\|[34m█████████▏[0m\| 21/23 [00:35<00:03, 1.60s/it] Training Epoch: 2/5, step 108/117 completed (loss: 0.0059595596976578236): 91%\|[34m█████████▏[0m\| 21/23 [00:36<00:03, 1.60s/it] Training Epoch: 2/5, step 108/117 completed (loss: 0.0059595596976578236): 96%\|[34m█████████▌[0m\| 22/23 [00:36<00:01, 1.63s/it] Training Epoch: 2/5, step 109/117 completed (loss: 0.01004678662866354): 96%\|[34m█████████▌[0m\| 22/23 [00:36<00:01, 1.63s/it] Training Epoch: 2/5, step 110/117 completed (loss: 0.004041817970573902): 96%\|[34m█████████▌[0m\| 22/23 [00:36<00:01, 1.63s/it] Training Epoch: 2/5, step 111/117 completed (loss: 0.01055156346410513): 96%\|[34m█████████▌[0m\| 22/23 [00:37<00:01, 1.63s/it] Training Epoch: 2/5, step 112/117 completed (loss: 0.01109678391367197): 96%\|[34m█████████▌[0m\| 22/23 [00:37<00:01, 1.63s/it] Training Epoch: 2/5, step 113/117 completed (loss: 0.0038252004887908697): 96%\|[34m█████████▌[0m\| 22/23 [00:37<00:01, 1.63s/it] Training Epoch: 2/5, step 113/117 completed (loss: 0.0038252004887908697): 100%\|[34m██████████[0m\| 23/23 [00:38<00:00, 1.63s/it] Training Epoch: 2/5, step 114/117 completed (loss: 0.00404228363186121): 100%\|[34m██████████[0m\| 23/23 [00:38<00:00, 1.63s/it] Training Epoch: 2/5, step 115/117 completed (loss: 0.011096677742898464): 100%\|[34m██████████[0m\| 23/23 [00:38<00:00, 1.63s/it] Training Epoch: 2/5, step 115/117 completed (loss: 0.011096677742898464): : 24it [00:38, 1.32s/it] Training Epoch: 2/5, step 116/117 completed (loss: 0.011097948998212814): : 24it [00:38, 1.32s/it] Training Epoch: 2/5, step 116/117 completed (loss: 0.011097948998212814): : 24it [00:38, 1.61s/it]
	Max CUDA memory allocated was 19 GB
	Max CUDA memory reserved was 19 GB
	Peak active CUDA memory was 19 GB
	CUDA Malloc retries : 0
	CPU Total Peak Memory consumed during the train (max): 2 GB
	evaluating Epoch: 0%\|[32m [0m\| 0/145 [00:00<?, ?it/s] evaluating Epoch: 1%\|[32m [0m\| 1/145 [00:00<00:33, 4.27it/s] evaluating Epoch: 1%\|[32m▏ [0m\| 2/145 [00:00<00:25, 5.61it/s] evaluating Epoch: 2%\|[32m▏ [0m\| 3/145 [00:00<00:22, 6.22it/s] evaluating Epoch: 3%\|[32m▎ [0m\| 4/145 [00:00<00:21, 6.56it/s] evaluating Epoch: 3%\|[32m▎ [0m\| 5/145 [00:00<00:20, 6.75it/s] evaluating Epoch: 4%\|[32m▍ [0m\| 6/145 [00:00<00:20, 6.84it/s] evaluating Epoch: 5%\|[32m▍ [0m\| 7/145 [00:01<00:19, 6.97it/s] evaluating Epoch: 6%\|[32m▌ [0m\| 8/145 [00:01<00:19, 7.09it/s] evaluating Epoch: 6%\|[32m▌ [0m\| 9/145 [00:01<00:19, 7.05it/s] evaluating Epoch: 7%\|[32m▋ [0m\| 10/145 [00:01<00:19, 7.10it/s] evaluating Epoch: 8%\|[32m▊ [0m\| 11/145 [00:01<00:18, 7.09it/s] evaluating Epoch: 8%\|[32m▊ [0m\| 12/145 [00:01<00:18, 7.13it/s] evaluating Epoch: 9%\|[32m▉ [0m\| 13/145 [00:01<00:18, 7.17it/s] evaluating Epoch: 10%\|[32m▉ [0m\| 14/145 [00:02<00:18, 7.16it/s] evaluating Epoch: 10%\|[32m█ [0m\| 15/145 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	eval_ppl=tensor(1.1182, device='cuda:0') eval_epoch_loss=tensor(0.1117, device='cuda:0')
	we are about to save the PEFT modules
	PEFT modules are saved in /data/colosseum_dataset/wm_data/finetuned_models/vlm_move_hanger directory
	best eval loss on epoch 2 is 0.11167849600315094
	Epoch 2: train_perplexity=1.0610, train_epoch_loss=0.0592, epoch time 39.146529966033995s
	Starting epoch 2/5
	train_config.max_train_step: 0
	Training Epoch: 3: 0%\|[34m [0m\| 0/23 [00:00<?, ?it/s] Training Epoch: 3/5, step 0/117 completed (loss: 0.009544853121042252): 0%\|[34m [0m\| 0/23 [00:00<?, ?it/s] Training Epoch: 3/5, step 1/117 completed (loss: 0.0024118402507156134): 0%\|[34m [0m\| 0/23 [00:00<?, ?it/s] Training Epoch: 3/5, step 2/117 completed (loss: 0.002412324771285057): 0%\|[34m [0m\| 0/23 [00:00<?, ?it/s] Training Epoch: 3/5, step 3/117 completed (loss: 0.0022709679324179888): 0%\|[34m [0m\| 0/23 [00:01<?, ?it/s] Training Epoch: 3/5, step 3/117 completed (loss: 0.0022709679324179888): 4%\|[34m▍ [0m\| 1/23 [00:01<00:37, 1.71s/it] Training Epoch: 3/5, step 4/117 completed (loss: 0.0022713744547218084): 4%\|[34m▍ [0m\| 1/23 [00:01<00:37, 1.71s/it] Training Epoch: 3/5, step 5/117 completed (loss: 0.008616849780082703): 4%\|[34m▍ [0m\| 1/23 [00:02<00:37, 1.71s/it] Training Epoch: 3/5, step 6/117 completed (loss: 0.001908860169351101): 4%\|[34m▍ [0m\| 1/23 [00:02<00:37, 1.71s/it] Training Epoch: 3/5, step 7/117 completed (loss: 0.002021672436967492): 4%\|[34m▍ [0m\| 1/23 [00:02<00:37, 1.71s/it] Training Epoch: 3/5, step 8/117 completed (loss: 0.0017948299646377563): 4%\|[34m▍ [0m\| 1/23 [00:02<00:37, 1.71s/it] Training Epoch: 3/5, step 8/117 completed (loss: 0.0017948299646377563): 9%\|[34m▊ [0m\| 2/23 [00:03<00:34, 1.63s/it] Training Epoch: 3/5, step 9/117 completed (loss: 0.008617264218628407): 9%\|[34m▊ [0m\| 2/23 [00:03<00:34, 1.63s/it] Training Epoch: 3/5, step 10/117 completed (loss: 0.007021590601652861): 9%\|[34m▊ [0m\| 2/23 [00:03<00:34, 1.63s/it] Training Epoch: 3/5, step 11/117 completed (loss: 0.0015994067071005702): 9%\|[34m▊ [0m\| 2/23 [00:03<00:34, 1.63s/it] Training Epoch: 3/5, step 12/117 completed (loss: 0.006629291921854019): 9%\|[34m▊ [0m\| 2/23 [00:04<00:34, 1.63s/it] Training Epoch: 3/5, step 13/117 completed (loss: 0.0017992694629356265): 9%\|[34m▊ [0m\| 2/23 [00:04<00:34, 1.63s/it] Training Epoch: 3/5, step 13/117 completed (loss: 0.0017992694629356265): 13%\|[34m█▎ [0m\| 3/23 [00:04<00:32, 1.62s/it] Training Epoch: 3/5, step 14/117 completed (loss: 0.0015985865611582994): 13%\|[34m█▎ [0m\| 3/23 [00:04<00:32, 1.62s/it] Training Epoch: 3/5, step 15/117 completed (loss: 0.001816060277633369): 13%\|[34m█▎ [0m\| 3/23 [00:05<00:32, 1.62s/it] Training Epoch: 3/5, step 16/117 completed (loss: 0.002757652895525098): 13%\|[34m█▎ [0m\| 3/23 [00:05<00:32, 1.62s/it] Training Epoch: 3/5, step 17/117 completed (loss: 0.001612927415408194): 13%\|[34m█▎ [0m\| 3/23 [00:05<00:32, 1.62s/it] Training Epoch: 3/5, step 18/117 completed (loss: 0.003614209359511733): 13%\|[34m█▎ [0m\| 3/23 [00:06<00:32, 1.62s/it] Training Epoch: 3/5, step 18/117 completed (loss: 0.003614209359511733): 17%\|[34m█▋ [0m\| 4/23 [00:06<00:31, 1.65s/it] Training Epoch: 3/5, step 19/117 completed (loss: 0.0016126197297126055): 17%\|[34m█▋ [0m\| 4/23 [00:06<00:31, 1.65s/it] Training Epoch: 3/5, step 20/117 completed (loss: 0.0020693112164735794): 17%\|[34m█▋ [0m\| 4/23 [00:06<00:31, 1.65s/it] Training Epoch: 3/5, step 21/117 completed (loss: 0.0015068203210830688): 17%\|[34m█▋ [0m\| 4/23 [00:07<00:31, 1.65s/it] Training Epoch: 3/5, step 22/117 completed (loss: 0.002097375225275755): 17%\|[34m█▋ [0m\| 4/23 [00:07<00:31, 1.65s/it] Training Epoch: 3/5, step 23/117 completed (loss: 0.00183890201151371): 17%\|[34m█▋ [0m\| 4/23 [00:07<00:31, 1.65s/it] Training Epoch: 3/5, step 23/117 completed (loss: 0.00183890201151371): 22%\|[34m██▏ [0m\| 5/23 [00:08<00:29, 1.66s/it] Training Epoch: 3/5, step 24/117 completed (loss: 0.00219177408143878): 22%\|[34m██▏ [0m\| 5/23 [00:08<00:29, 1.66s/it] Training Epoch: 3/5, step 25/117 completed (loss: 0.000641215592622757): 22%\|[34m██▏ [0m\| 5/23 [00:08<00:29, 1.66s/it] Training Epoch: 3/5, step 26/117 completed (loss: 0.001996841747313738): 22%\|[34m██▏ [0m\| 5/23 [00:08<00:29, 1.66s/it] Training Epoch: 3/5, step 27/117 completed (loss: 0.0008638245053589344): 22%\|[34m██▏ [0m\| 5/23 [00:09<00:29, 1.66s/it] Training Epoch: 3/5, step 28/117 completed (loss: 0.0015373624628409743): 22%\|[34m██▏ [0m\| 5/23 [00:09<00:29, 1.66s/it] Training Epoch: 3/5, step 28/117 completed (loss: 0.0015373624628409743): 26%\|[34m██▌ [0m\| 6/23 [00:10<00:29, 1.72s/it] Training Epoch: 3/5, step 29/117 completed (loss: 0.002105658408254385): 26%\|[34m██▌ [0m\| 6/23 [00:10<00:29, 1.72s/it] Training Epoch: 3/5, step 30/117 completed (loss: 0.001802388927899301): 26%\|[34m██▌ [0m\| 6/23 [00:10<00:29, 1.72s/it] Training Epoch: 3/5, step 31/117 completed (loss: 0.0011145226890221238): 26%\|[34m██▌ [0m\| 6/23 [00:10<00:29, 1.72s/it] Training Epoch: 3/5, step 32/117 completed (loss: 0.0018027883488684893): 26%\|[34m██▌ [0m\| 6/23 [00:11<00:29, 1.72s/it] Training Epoch: 3/5, step 33/117 completed (loss: 0.0003361940907780081): 26%\|[34m██▌ [0m\| 6/23 [00:11<00:29, 1.72s/it] Training Epoch: 3/5, step 33/117 completed (loss: 0.0003361940907780081): 30%\|[34m███ [0m\| 7/23 [00:11<00:27, 1.73s/it] Training Epoch: 3/5, step 34/117 completed (loss: 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[0m\| 9/23 [00:17<00:24, 1.74s/it] Training Epoch: 3/5, step 48/117 completed (loss: 0.00012896701809950173): 43%\|[34m████▎ [0m\| 10/23 [00:17<00:24, 1.88s/it] Training Epoch: 3/5, step 49/117 completed (loss: 0.00012923222675453871): 43%\|[34m████▎ [0m\| 10/23 [00:17<00:24, 1.88s/it] Training Epoch: 3/5, step 50/117 completed (loss: 0.0004276486288290471): 43%\|[34m████▎ [0m\| 10/23 [00:17<00:24, 1.88s/it] Training Epoch: 3/5, step 51/117 completed (loss: 5.3222724091028795e-05): 43%\|[34m████▎ [0m\| 10/23 [00:18<00:24, 1.88s/it] Training Epoch: 3/5, step 52/117 completed (loss: 0.00036716487375088036): 43%\|[34m████▎ [0m\| 10/23 [00:18<00:24, 1.88s/it] Training Epoch: 3/5, step 53/117 completed (loss: 0.0005704248906113207): 43%\|[34m████▎ [0m\| 10/23 [00:19<00:24, 1.88s/it] Training Epoch: 3/5, step 53/117 completed (loss: 0.0005704248906113207): 48%\|[34m████▊ [0m\| 11/23 [00:19<00:22, 1.86s/it] Training Epoch: 3/5, step 54/117 completed (loss: 0.00036939760320819914): 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0.00018634586012922227): 52%\|[34m█████▏ [0m\| 12/23 [00:21<00:19, 1.81s/it] Training Epoch: 3/5, step 62/117 completed (loss: 1.6092020814539865e-05): 52%\|[34m█████▏ [0m\| 12/23 [00:22<00:19, 1.81s/it] Training Epoch: 3/5, step 63/117 completed (loss: 1.7654876501183026e-05): 52%\|[34m█████▏ [0m\| 12/23 [00:22<00:19, 1.81s/it] Training Epoch: 3/5, step 63/117 completed (loss: 1.7654876501183026e-05): 57%\|[34m█████▋ [0m\| 13/23 [00:22<00:17, 1.73s/it] Training Epoch: 3/5, step 64/117 completed (loss: 0.00016531739674974233): 57%\|[34m█████▋ [0m\| 13/23 [00:22<00:17, 1.73s/it] Training Epoch: 3/5, step 65/117 completed (loss: 1.148603860201547e-05): 57%\|[34m█████▋ [0m\| 13/23 [00:22<00:17, 1.73s/it] Training Epoch: 3/5, step 66/117 completed (loss: 1.1022500075341668e-05): 57%\|[34m█████▋ [0m\| 13/23 [00:23<00:17, 1.73s/it] Training Epoch: 3/5, step 67/117 completed (loss: 1.0451721209392417e-05): 57%\|[34m█████▋ [0m\| 13/23 [00:23<00:17, 1.73s/it] Training Epoch: 3/5, step 68/117 completed (loss: 4.668060500989668e-05): 57%\|[34m█████▋ [0m\| 13/23 [00:23<00:17, 1.73s/it] Training Epoch: 3/5, step 68/117 completed (loss: 4.668060500989668e-05): 61%\|[34m██████ [0m\| 14/23 [00:24<00:15, 1.67s/it] Training Epoch: 3/5, step 69/117 completed (loss: 9.138718451140448e-05): 61%\|[34m██████ [0m\| 14/23 [00:24<00:15, 1.67s/it] Training Epoch: 3/5, step 70/117 completed (loss: 6.085361383156851e-05): 61%\|[34m██████ [0m\| 14/23 [00:24<00:15, 1.67s/it] Training Epoch: 3/5, step 71/117 completed (loss: 7.64649757911684e-06): 61%\|[34m██████ [0m\| 14/23 [00:24<00:15, 1.67s/it] Training Epoch: 3/5, step 72/117 completed (loss: 8.405644621234387e-06): 61%\|[34m██████ [0m\| 14/23 [00:25<00:15, 1.67s/it] Training Epoch: 3/5, step 73/117 completed (loss: 7.690583515795879e-06): 61%\|[34m██████ [0m\| 14/23 [00:25<00:15, 1.67s/it] Training Epoch: 3/5, step 73/117 completed (loss: 7.690583515795879e-06): 65%\|[34m██████▌ [0m\| 15/23 [00:25<00:13, 1.63s/it] Training Epoch: 3/5, step 74/117 completed (loss: 4.278756387066096e-05): 65%\|[34m██████▌ [0m\| 15/23 [00:25<00:13, 1.63s/it] Training Epoch: 3/5, step 75/117 completed (loss: 2.1285362890921533e-05): 65%\|[34m██████▌ [0m\| 15/23 [00:26<00:13, 1.63s/it] Training Epoch: 3/5, step 76/117 completed (loss: 5.9934441196674015e-06): 65%\|[34m██████▌ [0m\| 15/23 [00:26<00:13, 1.63s/it] Training Epoch: 3/5, step 77/117 completed (loss: 5.657315341522917e-06): 65%\|[34m██████▌ [0m\| 15/23 [00:26<00:13, 1.63s/it] Training Epoch: 3/5, step 78/117 completed (loss: 1.9154480469296686e-05): 65%\|[34m██████▌ [0m\| 15/23 [00:26<00:13, 1.63s/it] Training Epoch: 3/5, step 78/117 completed (loss: 1.9154480469296686e-05): 70%\|[34m██████▉ [0m\| 16/23 [00:27<00:11, 1.64s/it] Training Epoch: 3/5, step 79/117 completed (loss: 6.3581524045730475e-06): 70%\|[34m██████▉ [0m\| 16/23 [00:27<00:11, 1.64s/it] Training Epoch: 3/5, step 80/117 completed (loss: 5.209163191466359e-06): 70%\|[34m██████▉ [0m\| 16/23 [00:27<00:11, 1.64s/it] Training Epoch: 3/5, step 81/117 completed (loss: 5.163875357538927e-06): 70%\|[34m██████▉ [0m\| 16/23 [00:28<00:11, 1.64s/it] Training Epoch: 3/5, step 82/117 completed (loss: 1.1578474186535459e-05): 70%\|[34m██████▉ [0m\| 16/23 [00:28<00:11, 1.64s/it] Training Epoch: 3/5, step 83/117 completed (loss: 1.052457719197264e-05): 70%\|[34m██████▉ [0m\| 16/23 [00:28<00:11, 1.64s/it] Training Epoch: 3/5, step 83/117 completed (loss: 1.052457719197264e-05): 74%\|[34m███████▍ [0m\| 17/23 [00:29<00:09, 1.65s/it] Training Epoch: 3/5, step 84/117 completed (loss: 1.083702409232501e-05): 74%\|[34m███████▍ [0m\| 17/23 [00:29<00:09, 1.65s/it] Training Epoch: 3/5, step 85/117 completed (loss: 4.412947873788653e-06): 74%\|[34m███████▍ [0m\| 17/23 [00:29<00:09, 1.65s/it] Training Epoch: 3/5, step 86/117 completed (loss: 4.4975781747780275e-06): 74%\|[34m███████▍ [0m\| 17/23 [00:29<00:09, 1.65s/it] Training Epoch: 3/5, step 87/117 completed (loss: 4.746696049551247e-06): 74%\|[34m███████▍ [0m\| 17/23 [00:29<00:09, 1.65s/it] Training Epoch: 3/5, step 88/117 completed (loss: 4.703784270532196e-06): 74%\|[34m███████▍ [0m\| 17/23 [00:30<00:09, 1.65s/it] Training Epoch: 3/5, step 88/117 completed (loss: 4.703784270532196e-06): 78%\|[34m███████▊ [0m\| 18/23 [00:30<00:07, 1.59s/it] Training Epoch: 3/5, step 89/117 completed (loss: 7.98092605691636e-06): 78%\|[34m███████▊ [0m\| 18/23 [00:30<00:07, 1.59s/it] Training Epoch: 3/5, step 90/117 completed (loss: 8.669480848766398e-06): 78%\|[34m███████▊ [0m\| 18/23 [00:30<00:07, 1.59s/it] Training Epoch: 3/5, step 91/117 completed (loss: 8.187465027731378e-06): 78%\|[34m███████▊ [0m\| 18/23 [00:31<00:07, 1.59s/it] Training Epoch: 3/5, step 92/117 completed (loss: 6.6250067902728915e-06): 78%\|[34m███████▊ [0m\| 18/23 [00:31<00:07, 1.59s/it] Training Epoch: 3/5, step 93/117 completed (loss: 3.9850215216574725e-06): 78%\|[34m███████▊ [0m\| 18/23 [00:31<00:07, 1.59s/it] Training Epoch: 3/5, step 93/117 completed (loss: 3.9850215216574725e-06): 83%\|[34m████████▎ [0m\| 19/23 [00:32<00:06, 1.60s/it] Training Epoch: 3/5, step 94/117 completed (loss: 7.375794666586444e-06): 83%\|[34m████████▎ [0m\| 19/23 [00:32<00:06, 1.60s/it] Training Epoch: 3/5, step 95/117 completed (loss: 3.716822902788408e-06): 83%\|[34m████████▎ [0m\| 19/23 [00:32<00:06, 1.60s/it] Training Epoch: 3/5, step 96/117 completed (loss: 6.5891990743693896e-06): 83%\|[34m████████▎ [0m\| 19/23 [00:32<00:06, 1.60s/it] Training Epoch: 3/5, step 97/117 completed (loss: 4.0410477595287375e-06): 83%\|[34m████████▎ [0m\| 19/23 [00:33<00:06, 1.60s/it] Training Epoch: 3/5, step 98/117 completed (loss: 3.6655635540228104e-06): 83%\|[34m████████▎ [0m\| 19/23 [00:33<00:06, 1.60s/it] Training Epoch: 3/5, step 98/117 completed (loss: 3.6655635540228104e-06): 87%\|[34m████████▋ [0m\| 20/23 [00:33<00:04, 1.61s/it] Training Epoch: 3/5, step 99/117 completed (loss: 4.097071268915897e-06): 87%\|[34m████████▋ [0m\| 20/23 [00:33<00:04, 1.61s/it] Training Epoch: 3/5, step 100/117 completed (loss: 6.615740403503878e-06): 87%\|[34m████████▋ [0m\| 20/23 [00:34<00:04, 1.61s/it] Training Epoch: 3/5, step 101/117 completed (loss: 6.366683464875678e-06): 87%\|[34m████████▋ [0m\| 20/23 [00:34<00:04, 1.61s/it] Training Epoch: 3/5, step 102/117 completed (loss: 4.052962594869314e-06): 87%\|[34m████████▋ [0m\| 20/23 [00:34<00:04, 1.61s/it] Training Epoch: 3/5, step 103/117 completed (loss: 3.5415912407188443e-06): 87%\|[34m████████▋ [0m\| 20/23 [00:35<00:04, 1.61s/it] Training Epoch: 3/5, step 103/117 completed (loss: 3.5415912407188443e-06): 91%\|[34m█████████▏[0m\| 21/23 [00:35<00:03, 1.66s/it] Training Epoch: 3/5, step 104/117 completed (loss: 3.6321853258414194e-06): 91%\|[34m█████████▏[0m\| 21/23 [00:35<00:03, 1.66s/it] Training Epoch: 3/5, step 105/117 completed (loss: 7.379757789749419e-06): 91%\|[34m█████████▏[0m\| 21/23 [00:35<00:03, 1.66s/it] Training Epoch: 3/5, step 106/117 completed (loss: 7.051412012515357e-06): 91%\|[34m█████████▏[0m\| 21/23 [00:36<00:03, 1.66s/it] Training Epoch: 3/5, step 107/117 completed (loss: 6.8553927121683955e-06): 91%\|[34m█████████▏[0m\| 21/23 [00:36<00:03, 1.66s/it] Training Epoch: 3/5, step 108/117 completed (loss: 3.6500666737993015e-06): 91%\|[34m█████████▏[0m\| 21/23 [00:36<00:03, 1.66s/it] Training Epoch: 3/5, step 108/117 completed (loss: 3.6500666737993015e-06): 96%\|[34m█████████▌[0m\| 22/23 [00:37<00:01, 1.68s/it] Training Epoch: 3/5, step 109/117 completed (loss: 3.399740990062128e-06): 96%\|[34m█████████▌[0m\| 22/23 [00:37<00:01, 1.68s/it] Training Epoch: 3/5, step 110/117 completed (loss: 7.406358690786874e-06): 96%\|[34m█████████▌[0m\| 22/23 [00:37<00:01, 1.68s/it] Training Epoch: 3/5, step 111/117 completed (loss: 6.696484433632577e-06): 96%\|[34m█████████▌[0m\| 22/23 [00:37<00:01, 1.68s/it] Training Epoch: 3/5, step 112/117 completed (loss: 7.080530394887319e-06): 96%\|[34m█████████▌[0m\| 22/23 [00:38<00:01, 1.68s/it] Training Epoch: 3/5, step 113/117 completed (loss: 7.30966849005199e-06): 96%\|[34m█████████▌[0m\| 22/23 [00:38<00:01, 1.68s/it] Training Epoch: 3/5, step 113/117 completed (loss: 7.30966849005199e-06): 100%\|[34m██████████[0m\| 23/23 [00:39<00:00, 1.74s/it] Training Epoch: 3/5, step 114/117 completed (loss: 5.085571956442436e-06): 100%\|[34m██████████[0m\| 23/23 [00:39<00:00, 1.74s/it] Training Epoch: 3/5, step 115/117 completed (loss: 3.3437147521908628e-06): 100%\|[34m██████████[0m\| 23/23 [00:39<00:00, 1.74s/it] Training Epoch: 3/5, step 115/117 completed (loss: 3.3437147521908628e-06): : 24it [00:39, 1.40s/it] Training Epoch: 3/5, step 116/117 completed (loss: 3.3115295536845224e-06): : 24it [00:39, 1.40s/it] Training Epoch: 3/5, step 116/117 completed (loss: 3.3115295536845224e-06): : 24it [00:39, 1.66s/it]
	Max CUDA memory allocated was 19 GB
	Max CUDA memory reserved was 19 GB
	Peak active CUDA memory was 19 GB
	CUDA Malloc retries : 0
	CPU Total Peak Memory consumed during the train (max): 2 GB
	evaluating Epoch: 0%\|[32m [0m\| 0/145 [00:00<?, ?it/s] evaluating Epoch: 1%\|[32m [0m\| 1/145 [00:00<00:34, 4.23it/s] evaluating Epoch: 1%\|[32m▏ [0m\| 2/145 [00:00<00:25, 5.64it/s] evaluating Epoch: 2%\|[32m▏ [0m\| 3/145 [00:00<00:22, 6.25it/s] evaluating Epoch: 3%\|[32m▎ [0m\| 4/145 [00:00<00:21, 6.67it/s] evaluating Epoch: 3%\|[32m▎ [0m\| 5/145 [00:00<00:20, 6.90it/s] evaluating Epoch: 4%\|[32m▍ [0m\| 6/145 [00:00<00:19, 7.05it/s] evaluating Epoch: 5%\|[32m▍ [0m\| 7/145 [00:01<00:19, 7.15it/s] evaluating Epoch: 6%\|[32m▌ [0m\| 8/145 [00:01<00:19, 7.14it/s] evaluating Epoch: 6%\|[32m▌ [0m\| 9/145 [00:01<00:19, 7.07it/s] evaluating Epoch: 7%\|[32m▋ [0m\| 10/145 [00:01<00:18, 7.16it/s] evaluating Epoch: 8%\|[32m▊ [0m\| 11/145 [00:01<00:18, 7.18it/s] evaluating Epoch: 8%\|[32m▊ [0m\| 12/145 [00:01<00:18, 7.20it/s] evaluating Epoch: 9%\|[32m▉ [0m\| 13/145 [00:01<00:19, 6.90it/s] evaluating Epoch: 10%\|[32m▉ [0m\| 14/145 [00:02<00:18, 7.11it/s] evaluating Epoch: 10%\|[32m█ [0m\| 15/145 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	eval_ppl=tensor(1.5009, device='cuda:0') eval_epoch_loss=tensor(0.4061, device='cuda:0')
	we are about to save the PEFT modules
	PEFT modules are saved in /data/colosseum_dataset/wm_data/finetuned_models/vlm_move_hanger directory
	Epoch 3: train_perplexity=1.0046, train_epoch_loss=0.0046, epoch time 40.177380909677595s
	Starting epoch 3/5
	train_config.max_train_step: 0
	Training Epoch: 4: 0%\|[34m [0m\| 0/23 [00:00<?, ?it/s] Training Epoch: 4/5, step 0/117 completed (loss: 3.3985486425081035e-06): 0%\|[34m [0m\| 0/23 [00:00<?, ?it/s] Training Epoch: 4/5, step 1/117 completed (loss: 8.284404430014547e-06): 0%\|[34m [0m\| 0/23 [00:00<?, ?it/s] Training Epoch: 4/5, step 2/117 completed (loss: 7.828791240171995e-06): 0%\|[34m [0m\| 0/23 [00:01<?, ?it/s] Training Epoch: 4/5, step 3/117 completed (loss: 8.841830094752368e-06): 0%\|[34m [0m\| 0/23 [00:01<?, ?it/s] Training Epoch: 4/5, step 3/117 completed (loss: 8.841830094752368e-06): 4%\|[34m▍ [0m\| 1/23 [00:01<00:37, 1.70s/it] Training Epoch: 4/5, step 4/117 completed (loss: 3.3270187032030663e-06): 4%\|[34m▍ [0m\| 1/23 [00:01<00:37, 1.70s/it] Training Epoch: 4/5, step 5/117 completed (loss: 8.625979717180599e-06): 4%\|[34m▍ [0m\| 1/23 [00:01<00:37, 1.70s/it] Training Epoch: 4/5, step 6/117 completed (loss: 9.049773325386923e-06): 4%\|[34m▍ [0m\| 1/23 [00:02<00:37, 1.70s/it] Training Epoch: 4/5, step 7/117 completed (loss: 8.23394839244429e-06): 4%\|[34m▍ [0m\| 1/23 [00:02<00:37, 1.70s/it] Training Epoch: 4/5, step 8/117 completed (loss: 8.44057558424538e-06): 4%\|[34m▍ [0m\| 1/23 [00:02<00:37, 1.70s/it] Training Epoch: 4/5, step 8/117 completed (loss: 8.44057558424538e-06): 9%\|[34m▊ [0m\| 2/23 [00:03<00:34, 1.62s/it] Training Epoch: 4/5, step 9/117 completed (loss: 8.443290425930172e-06): 9%\|[34m▊ [0m\| 2/23 [00:03<00:34, 1.62s/it] Training Epoch: 4/5, step 10/117 completed (loss: 3.2876821478566853e-06): 9%\|[34m▊ [0m\| 2/23 [00:03<00:34, 1.62s/it] Training Epoch: 4/5, step 11/117 completed (loss: 3.4831705306714866e-06): 9%\|[34m▊ [0m\| 2/23 [00:03<00:34, 1.62s/it] Training Epoch: 4/5, step 12/117 completed (loss: 8.766428436501883e-06): 9%\|[34m▊ [0m\| 2/23 [00:04<00:34, 1.62s/it] Training Epoch: 4/5, step 13/117 completed (loss: 3.1839801977184834e-06): 9%\|[34m▊ [0m\| 2/23 [00:04<00:34, 1.62s/it] Training Epoch: 4/5, step 13/117 completed (loss: 3.1839801977184834e-06): 13%\|[34m█▎ [0m\| 3/23 [00:05<00:33, 1.68s/it] Training Epoch: 4/5, step 14/117 completed (loss: 9.194182894134428e-06): 13%\|[34m█▎ [0m\| 3/23 [00:05<00:33, 1.68s/it] Training Epoch: 4/5, step 15/117 completed (loss: 3.170867557855672e-06): 13%\|[34m█▎ [0m\| 3/23 [00:05<00:33, 1.68s/it] Training Epoch: 4/5, step 16/117 completed (loss: 9.053723260876723e-06): 13%\|[34m█▎ [0m\| 3/23 [00:05<00:33, 1.68s/it] Training Epoch: 4/5, step 17/117 completed (loss: 3.1613308237865567e-06): 13%\|[34m█▎ [0m\| 3/23 [00:05<00:33, 1.68s/it] Training Epoch: 4/5, step 18/117 completed (loss: 3.1744432362756925e-06): 13%\|[34m█▎ [0m\| 3/23 [00:06<00:33, 1.68s/it] Training Epoch: 4/5, step 18/117 completed (loss: 3.1744432362756925e-06): 17%\|[34m█▋ [0m\| 4/23 [00:06<00:30, 1.61s/it] Training Epoch: 4/5, step 19/117 completed (loss: 3.1696756650489988e-06): 17%\|[34m█▋ [0m\| 4/23 [00:06<00:30, 1.61s/it] Training Epoch: 4/5, step 20/117 completed (loss: 3.228085915907286e-06): 17%\|[34m█▋ [0m\| 4/23 [00:06<00:30, 1.61s/it] Training Epoch: 4/5, step 21/117 completed (loss: 8.708088898856658e-06): 17%\|[34m█▋ [0m\| 4/23 [00:07<00:30, 1.61s/it] Training Epoch: 4/5, step 22/117 completed (loss: 8.659090781293344e-06): 17%\|[34m█▋ [0m\| 4/23 [00:07<00:30, 1.61s/it] Training Epoch: 4/5, step 23/117 completed (loss: 9.000748832477257e-06): 17%\|[34m█▋ [0m\| 4/23 [00:07<00:30, 1.61s/it] Training Epoch: 4/5, step 23/117 completed (loss: 9.000748832477257e-06): 22%\|[34m██▏ [0m\| 5/23 [00:07<00:27, 1.55s/it] Training Epoch: 4/5, step 24/117 completed (loss: 3.281727686044178e-06): 22%\|[34m██▏ [0m\| 5/23 [00:07<00:27, 1.55s/it] Training Epoch: 4/5, step 25/117 completed (loss: 3.1863564800005406e-06): 22%\|[34m██▏ [0m\| 5/23 [00:08<00:27, 1.55s/it] Training Epoch: 4/5, step 26/117 completed (loss: 3.2280793220706983e-06): 22%\|[34m██▏ [0m\| 5/23 [00:08<00:27, 1.55s/it] Training Epoch: 4/5, step 27/117 completed (loss: 3.443832611083053e-06): 22%\|[34m██▏ [0m\| 5/23 [00:08<00:27, 1.55s/it] Training Epoch: 4/5, step 28/117 completed (loss: 8.71725205797702e-06): 22%\|[34m██▏ [0m\| 5/23 [00:09<00:27, 1.55s/it] Training Epoch: 4/5, step 28/117 completed (loss: 8.71725205797702e-06): 26%\|[34m██▌ [0m\| 6/23 [00:09<00:25, 1.52s/it] Training Epoch: 4/5, step 29/117 completed (loss: 3.2209268283622805e-06): 26%\|[34m██▌ [0m\| 6/23 [00:09<00:25, 1.52s/it] Training Epoch: 4/5, step 30/117 completed (loss: 3.2233110687229782e-06): 26%\|[34m██▌ [0m\| 6/23 [00:09<00:25, 1.52s/it] Training Epoch: 4/5, step 31/117 completed (loss: 3.2352320431527914e-06): 26%\|[34m██▌ [0m\| 6/23 [00:09<00:25, 1.52s/it] Training Epoch: 4/5, step 32/117 completed (loss: 3.325826810396393e-06): 26%\|[34m██▌ [0m\| 6/23 [00:10<00:25, 1.52s/it] Training Epoch: 4/5, step 33/117 completed (loss: 3.1315291835198877e-06): 26%\|[34m██▌ [0m\| 6/23 [00:10<00:25, 1.52s/it] Training Epoch: 4/5, step 33/117 completed (loss: 3.1315291835198877e-06): 30%\|[34m███ [0m\| 7/23 [00:10<00:24, 1.50s/it] Training Epoch: 4/5, step 34/117 completed (loss: 8.999343663163017e-06): 30%\|[34m███ [0m\| 7/23 [00:10<00:24, 1.50s/it] Training Epoch: 4/5, step 35/117 completed (loss: 2.9956354410387576e-06): 30%\|[34m███ [0m\| 7/23 [00:11<00:24, 1.50s/it] Training Epoch: 4/5, step 36/117 completed (loss: 9.023196071211714e-06): 30%\|[34m███ [0m\| 7/23 [00:11<00:24, 1.50s/it] Training Epoch: 4/5, step 37/117 completed (loss: 3.0945757316658273e-06): 30%\|[34m███ [0m\| 7/23 [00:11<00:24, 1.50s/it] Training Epoch: 4/5, step 38/117 completed (loss: 3.2757532153482316e-06): 30%\|[34m███ [0m\| 7/23 [00:12<00:24, 1.50s/it] Training Epoch: 4/5, step 38/117 completed (loss: 3.2757532153482316e-06): 35%\|[34m███▍ [0m\| 8/23 [00:12<00:23, 1.58s/it] Training Epoch: 4/5, step 39/117 completed (loss: 3.2197342534345808e-06): 35%\|[34m███▍ [0m\| 8/23 [00:12<00:23, 1.58s/it] Training Epoch: 4/5, step 40/117 completed (loss: 3.195893214069656e-06): 35%\|[34m███▍ [0m\| 8/23 [00:12<00:23, 1.58s/it] Training Epoch: 4/5, step 41/117 completed (loss: 3.241191734559834e-06): 35%\|[34m███▍ [0m\| 8/23 [00:13<00:23, 1.58s/it] Training Epoch: 4/5, step 42/117 completed (loss: 9.657486771175172e-06): 35%\|[34m███▍ [0m\| 8/23 [00:13<00:23, 1.58s/it] Training Epoch: 4/5, step 43/117 completed (loss: 9.205886271956842e-06): 35%\|[34m███▍ [0m\| 8/23 [00:13<00:23, 1.58s/it] Training Epoch: 4/5, step 43/117 completed (loss: 9.205886271956842e-06): 39%\|[34m███▉ [0m\| 9/23 [00:14<00:22, 1.62s/it] Training Epoch: 4/5, step 44/117 completed (loss: 8.784685633145273e-06): 39%\|[34m███▉ [0m\| 9/23 [00:14<00:22, 1.62s/it] Training Epoch: 4/5, step 45/117 completed (loss: 1.0150223715754692e-05): 39%\|[34m███▉ [0m\| 9/23 [00:14<00:22, 1.62s/it] Training Epoch: 4/5, step 46/117 completed (loss: 3.1350980407296447e-06): 39%\|[34m███▉ [0m\| 9/23 [00:14<00:22, 1.62s/it] Training Epoch: 4/5, step 47/117 completed (loss: 3.055238039451069e-06): 39%\|[34m███▉ [0m\| 9/23 [00:15<00:22, 1.62s/it] Training Epoch: 4/5, step 48/117 completed 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completed (loss: 9.235019206244033e-06): 48%\|[34m████▊ [0m\| 11/23 [00:17<00:18, 1.57s/it] Training Epoch: 4/5, step 55/117 completed (loss: 2.9694097065657843e-06): 48%\|[34m████▊ [0m\| 11/23 [00:17<00:18, 1.57s/it] Training Epoch: 4/5, step 56/117 completed (loss: 9.60587385634426e-06): 48%\|[34m████▊ [0m\| 11/23 [00:18<00:18, 1.57s/it] Training Epoch: 4/5, step 57/117 completed (loss: 9.367402526549995e-06): 48%\|[34m████▊ [0m\| 11/23 [00:18<00:18, 1.57s/it] Training Epoch: 4/5, step 58/117 completed (loss: 9.534433047519997e-06): 48%\|[34m████▊ [0m\| 11/23 [00:18<00:18, 1.57s/it] Training Epoch: 4/5, step 58/117 completed (loss: 9.534433047519997e-06): 52%\|[34m█████▏ [0m\| 12/23 [00:18<00:17, 1.57s/it] Training Epoch: 4/5, step 59/117 completed (loss: 3.2364150683861226e-06): 52%\|[34m█████▏ [0m\| 12/23 [00:18<00:17, 1.57s/it] Training Epoch: 4/5, step 60/117 completed (loss: 3.1005286018626066e-06): 52%\|[34m█████▏ [0m\| 12/23 [00:19<00:17, 1.57s/it] Training Epoch: 4/5, step 61/117 completed (loss: 9.440313078812324e-06): 52%\|[34m█████▏ [0m\| 12/23 [00:19<00:17, 1.57s/it] Training Epoch: 4/5, step 62/117 completed (loss: 3.01589989248896e-06): 52%\|[34m█████▏ [0m\| 12/23 [00:19<00:17, 1.57s/it] Training Epoch: 4/5, step 63/117 completed (loss: 3.236429620301351e-06): 52%\|[34m█████▏ [0m\| 12/23 [00:20<00:17, 1.57s/it] Training Epoch: 4/5, step 63/117 completed (loss: 3.236429620301351e-06): 57%\|[34m█████▋ [0m\| 13/23 [00:20<00:15, 1.59s/it] Training Epoch: 4/5, step 64/117 completed (loss: 3.329403398311115e-06): 57%\|[34m█████▋ [0m\| 13/23 [00:20<00:15, 1.59s/it] Training Epoch: 4/5, step 65/117 completed (loss: 3.063582653339836e-06): 57%\|[34m█████▋ [0m\| 13/23 [00:21<00:15, 1.59s/it] Training Epoch: 4/5, step 66/117 completed (loss: 3.089800202360493e-06): 57%\|[34m█████▋ [0m\| 13/23 [00:21<00:15, 1.59s/it] Training Epoch: 4/5, step 67/117 completed (loss: 5.370273811422521e-06): 57%\|[34m█████▋ [0m\| 13/23 [00:21<00:15, 1.59s/it] Training Epoch: 4/5, step 68/117 completed (loss: 3.1339063752966467e-06): 57%\|[34m█████▋ [0m\| 13/23 [00:22<00:15, 1.59s/it] Training Epoch: 4/5, step 68/117 completed (loss: 3.1339063752966467e-06): 61%\|[34m██████ [0m\| 14/23 [00:22<00:14, 1.67s/it] Training Epoch: 4/5, step 69/117 completed (loss: 9.140988368017133e-06): 61%\|[34m██████ [0m\| 14/23 [00:22<00:14, 1.67s/it] Training Epoch: 4/5, step 70/117 completed (loss: 8.60329600982368e-06): 61%\|[34m██████ [0m\| 14/23 [00:22<00:14, 1.67s/it] Training Epoch: 4/5, step 71/117 completed (loss: 9.28135068534175e-06): 61%\|[34m██████ [0m\| 14/23 [00:23<00:14, 1.67s/it] Training Epoch: 4/5, step 72/117 completed (loss: 3.1279457743949024e-06): 61%\|[34m██████ [0m\| 14/23 [00:23<00:14, 1.67s/it] Training Epoch: 4/5, step 73/117 completed (loss: 3.0754956696910085e-06): 61%\|[34m██████ [0m\| 14/23 [00:23<00:14, 1.67s/it] Training Epoch: 4/5, step 73/117 completed (loss: 3.0754956696910085e-06): 65%\|[34m██████▌ [0m\| 15/23 [00:24<00:13, 1.65s/it] Training Epoch: 4/5, step 74/117 completed (loss: 9.107917321671266e-06): 65%\|[34m██████▌ [0m\| 15/23 [00:24<00:13, 1.65s/it] Training Epoch: 4/5, step 75/117 completed (loss: 3.2149660000868607e-06): 65%\|[34m██████▌ [0m\| 15/23 [00:24<00:13, 1.65s/it] Training Epoch: 4/5, step 76/117 completed (loss: 3.2614480005577207e-06): 65%\|[34m██████▌ [0m\| 15/23 [00:24<00:13, 1.65s/it] Training Epoch: 4/5, step 77/117 completed (loss: 8.429919944319408e-06): 65%\|[34m██████▌ [0m\| 15/23 [00:24<00:13, 1.65s/it] Training Epoch: 4/5, step 78/117 completed (loss: 7.954459761094768e-06): 65%\|[34m██████▌ [0m\| 15/23 [00:25<00:13, 1.65s/it] Training Epoch: 4/5, step 78/117 completed (loss: 7.954459761094768e-06): 70%\|[34m██████▉ [0m\| 16/23 [00:25<00:11, 1.63s/it] Training Epoch: 4/5, step 79/117 completed (loss: 2.969409479192109e-06): 70%\|[34m██████▉ [0m\| 16/23 [00:25<00:11, 1.63s/it] Training Epoch: 4/5, step 80/117 completed (loss: 8.220708878070582e-06): 70%\|[34m██████▉ [0m\| 16/23 [00:25<00:11, 1.63s/it] Training Epoch: 4/5, step 81/117 completed (loss: 3.1398581086250488e-06): 70%\|[34m██████▉ [0m\| 16/23 [00:26<00:11, 1.63s/it] Training Epoch: 4/5, step 82/117 completed (loss: 2.9741781872871798e-06): 70%\|[34m██████▉ [0m\| 16/23 [00:26<00:11, 1.63s/it] Training Epoch: 4/5, step 83/117 completed (loss: 8.424550287600141e-06): 70%\|[34m██████▉ [0m\| 16/23 [00:26<00:11, 1.63s/it] Training Epoch: 4/5, step 83/117 completed (loss: 8.424550287600141e-06): 74%\|[34m███████▍ [0m\| 17/23 [00:27<00:09, 1.61s/it] Training Epoch: 4/5, step 84/117 completed (loss: 2.913382786573493e-06): 74%\|[34m███████▍ [0m\| 17/23 [00:27<00:09, 1.61s/it] Training Epoch: 4/5, step 85/117 completed (loss: 8.52658831718145e-06): 74%\|[34m███████▍ [0m\| 17/23 [00:27<00:09, 1.61s/it] Training Epoch: 4/5, step 86/117 completed (loss: 2.968217813759111e-06): 74%\|[34m███████▍ [0m\| 17/23 [00:27<00:09, 1.61s/it] Training Epoch: 4/5, step 87/117 completed (loss: 8.451009307464119e-06): 74%\|[34m███████▍ [0m\| 17/23 [00:28<00:09, 1.61s/it] Training Epoch: 4/5, step 88/117 completed (loss: 7.651141459064092e-06): 74%\|[34m███████▍ [0m\| 17/23 [00:28<00:09, 1.61s/it] Training Epoch: 4/5, step 88/117 completed (loss: 7.651141459064092e-06): 78%\|[34m███████▊ [0m\| 18/23 [00:28<00:08, 1.62s/it] Training Epoch: 4/5, step 89/117 completed (loss: 8.521160452801269e-06): 78%\|[34m███████▊ [0m\| 18/23 [00:28<00:08, 1.62s/it] Training Epoch: 4/5, step 90/117 completed (loss: 3.107680868197349e-06): 78%\|[34m███████▊ [0m\| 18/23 [00:29<00:08, 1.62s/it] Training Epoch: 4/5, step 91/117 completed (loss: 2.9169591471145395e-06): 78%\|[34m███████▊ [0m\| 18/23 [00:29<00:08, 1.62s/it] Training Epoch: 4/5, step 92/117 completed (loss: 2.995635213665082e-06): 78%\|[34m███████▊ [0m\| 18/23 [00:29<00:08, 1.62s/it] Training Epoch: 4/5, step 93/117 completed (loss: 3.152971203235211e-06): 78%\|[34m███████▊ [0m\| 18/23 [00:30<00:08, 1.62s/it] Training Epoch: 4/5, step 93/117 completed (loss: 3.152971203235211e-06): 83%\|[34m████████▎ [0m\| 19/23 [00:30<00:06, 1.60s/it] Training Epoch: 4/5, step 94/117 completed (loss: 5.336368758435128e-06): 83%\|[34m████████▎ [0m\| 19/23 [00:30<00:06, 1.60s/it] Training Epoch: 4/5, step 95/117 completed (loss: 3.023044655492413e-06): 83%\|[34m████████▎ [0m\| 19/23 [00:30<00:06, 1.60s/it] Training Epoch: 4/5, step 96/117 completed (loss: 2.937224053312093e-06): 83%\|[34m████████▎ [0m\| 19/23 [00:30<00:06, 1.60s/it] Training Epoch: 4/5, step 97/117 completed (loss: 3.0719195365236374e-06): 83%\|[34m████████▎ [0m\| 19/23 [00:31<00:06, 1.60s/it] Training Epoch: 4/5, step 98/117 completed (loss: 8.420564881816972e-06): 83%\|[34m████████▎ [0m\| 19/23 [00:31<00:06, 1.60s/it] Training Epoch: 4/5, step 98/117 completed (loss: 8.420564881816972e-06): 87%\|[34m████████▋ [0m\| 20/23 [00:31<00:04, 1.58s/it] Training Epoch: 4/5, step 99/117 completed (loss: 2.8716610813717125e-06): 87%\|[34m████████▋ [0m\| 20/23 [00:31<00:04, 1.58s/it] Training Epoch: 4/5, step 100/117 completed (loss: 3.1601309729012428e-06): 87%\|[34m████████▋ [0m\| 20/23 [00:32<00:04, 1.58s/it] Training Epoch: 4/5, step 101/117 completed (loss: 2.937224508059444e-06): 87%\|[34m████████▋ [0m\| 20/23 [00:32<00:04, 1.58s/it] Training Epoch: 4/5, step 102/117 completed (loss: 2.9193436148489127e-06): 87%\|[34m████████▋ [0m\| 20/23 [00:32<00:04, 1.58s/it] Training Epoch: 4/5, step 103/117 completed (loss: 7.3532296482881065e-06): 87%\|[34m████████▋ [0m\| 20/23 [00:33<00:04, 1.58s/it] Training Epoch: 4/5, step 103/117 completed (loss: 7.3532296482881065e-06): 91%\|[34m█████████▏[0m\| 21/23 [00:33<00:03, 1.57s/it] Training Epoch: 4/5, step 104/117 completed (loss: 2.877621227526106e-06): 91%\|[34m█████████▏[0m\| 21/23 [00:33<00:03, 1.57s/it] Training Epoch: 4/5, step 105/117 completed (loss: 7.38236940378556e-06): 91%\|[34m█████████▏[0m\| 21/23 [00:33<00:03, 1.57s/it] Training Epoch: 4/5, step 106/117 completed (loss: 7.500235369661823e-06): 91%\|[34m█████████▏[0m\| 21/23 [00:34<00:03, 1.57s/it] Training Epoch: 4/5, step 107/117 completed (loss: 7.3890173553081695e-06): 91%\|[34m█████████▏[0m\| 21/23 [00:34<00:03, 1.57s/it] Training Epoch: 4/5, step 108/117 completed (loss: 4.734199137601536e-06): 91%\|[34m█████████▏[0m\| 21/23 [00:34<00:03, 1.57s/it] Training Epoch: 4/5, step 108/117 completed (loss: 4.734199137601536e-06): 96%\|[34m█████████▌[0m\| 22/23 [00:35<00:01, 1.60s/it] Training Epoch: 4/5, step 109/117 completed (loss: 2.8955023481103126e-06): 96%\|[34m█████████▌[0m\| 22/23 [00:35<00:01, 1.60s/it] Training Epoch: 4/5, step 110/117 completed (loss: 7.120167992979987e-06): 96%\|[34m█████████▌[0m\| 22/23 [00:35<00:01, 1.60s/it] Training Epoch: 4/5, step 111/117 completed (loss: 3.077879682678031e-06): 96%\|[34m█████████▌[0m\| 22/23 [00:35<00:01, 1.60s/it] Training Epoch: 4/5, step 112/117 completed (loss: 2.8287468012422323e-06): 96%\|[34m█████████▌[0m\| 22/23 [00:36<00:01, 1.60s/it] Training Epoch: 4/5, step 113/117 completed (loss: 2.834706492649275e-06): 96%\|[34m█████████▌[0m\| 22/23 [00:36<00:01, 1.60s/it] Training Epoch: 4/5, step 113/117 completed (loss: 2.834706492649275e-06): 100%\|[34m██████████[0m\| 23/23 [00:36<00:00, 1.65s/it] Training Epoch: 4/5, step 114/117 completed (loss: 7.357145932473941e-06): 100%\|[34m██████████[0m\| 23/23 [00:36<00:00, 1.65s/it] Training Epoch: 4/5, step 115/117 completed (loss: 6.329567440843675e-06): 100%\|[34m██████████[0m\| 23/23 [00:37<00:00, 1.65s/it] Training Epoch: 4/5, step 115/117 completed (loss: 6.329567440843675e-06): : 24it [00:37, 1.39s/it] Training Epoch: 4/5, step 116/117 completed (loss: 5.031552518630633e-06): : 24it [00:37, 1.39s/it] Training Epoch: 4/5, step 116/117 completed (loss: 5.031552518630633e-06): : 24it [00:37, 1.57s/it]
	Max CUDA memory allocated was 19 GB
	Max CUDA memory reserved was 19 GB
	Peak active CUDA memory was 19 GB
	CUDA Malloc retries : 0
	CPU Total Peak Memory consumed during the train (max): 2 GB
	evaluating Epoch: 0%\|[32m [0m\| 0/145 [00:00<?, ?it/s] evaluating Epoch: 1%\|[32m [0m\| 1/145 [00:00<00:37, 3.82it/s] evaluating Epoch: 1%\|[32m▏ [0m\| 2/145 [00:00<00:28, 5.08it/s] evaluating Epoch: 2%\|[32m▏ [0m\| 3/145 [00:00<00:24, 5.72it/s] evaluating Epoch: 3%\|[32m▎ [0m\| 4/145 [00:00<00:23, 5.98it/s] evaluating Epoch: 3%\|[32m▎ [0m\| 5/145 [00:00<00:22, 6.11it/s] evaluating Epoch: 4%\|[32m▍ [0m\| 6/145 [00:01<00:22, 6.19it/s] evaluating Epoch: 5%\|[32m▍ [0m\| 7/145 [00:01<00:22, 6.23it/s] evaluating Epoch: 6%\|[32m▌ [0m\| 8/145 [00:01<00:21, 6.39it/s] evaluating Epoch: 6%\|[32m▌ [0m\| 9/145 [00:01<00:22, 6.16it/s] evaluating Epoch: 7%\|[32m▋ [0m\| 10/145 [00:01<00:21, 6.29it/s] evaluating Epoch: 8%\|[32m▊ [0m\| 11/145 [00:01<00:20, 6.48it/s] evaluating Epoch: 8%\|[32m▊ [0m\| 12/145 [00:01<00:20, 6.39it/s] evaluating Epoch: 9%\|[32m▉ [0m\| 13/145 [00:02<00:20, 6.43it/s] evaluating Epoch: 10%\|[32m▉ [0m\| 14/145 [00:02<00:20, 6.47it/s] evaluating Epoch: 10%\|[32m█ [0m\| 15/145 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	eval_ppl=tensor(1.5901, device='cuda:0') eval_epoch_loss=tensor(0.4638, device='cuda:0')
	we are about to save the PEFT modules
	PEFT modules are saved in /data/colosseum_dataset/wm_data/finetuned_models/vlm_move_hanger directory
	Epoch 4: train_perplexity=1.0000, train_epoch_loss=0.0000, epoch time 38.136865402106196s
	Starting epoch 4/5
	train_config.max_train_step: 0
	Training Epoch: 5: 0%\|[34m [0m\| 0/23 [00:00<?, ?it/s] Training Epoch: 5/5, step 0/117 completed (loss: 2.982514388349955e-06): 0%\|[34m [0m\| 0/23 [00:00<?, ?it/s] Training Epoch: 5/5, step 1/117 completed (loss: 2.933653604486608e-06): 0%\|[34m [0m\| 0/23 [00:00<?, ?it/s] Training Epoch: 5/5, step 2/117 completed (loss: 6.467267667176202e-06): 0%\|[34m [0m\| 0/23 [00:01<?, ?it/s] Training Epoch: 5/5, step 3/117 completed (loss: 2.866892600650317e-06): 0%\|[34m [0m\| 0/23 [00:01<?, ?it/s] Training Epoch: 5/5, step 3/117 completed (loss: 2.866892600650317e-06): 4%\|[34m▍ [0m\| 1/23 [00:01<00:38, 1.77s/it] Training Epoch: 5/5, step 4/117 completed (loss: 2.8811971333198017e-06): 4%\|[34m▍ [0m\| 1/23 [00:01<00:38, 1.77s/it] Training Epoch: 5/5, step 5/117 completed (loss: 6.317652150755748e-06): 4%\|[34m▍ [0m\| 1/23 [00:02<00:38, 1.77s/it] Training Epoch: 5/5, step 6/117 completed (loss: 2.980138333441573e-06): 4%\|[34m▍ [0m\| 1/23 [00:02<00:38, 1.77s/it] Training Epoch: 5/5, step 7/117 completed (loss: 7.0301207415468525e-06): 4%\|[34m▍ [0m\| 1/23 [00:02<00:38, 1.77s/it] Training Epoch: 5/5, step 8/117 completed (loss: 6.536146884172922e-06): 4%\|[34m▍ [0m\| 1/23 [00:03<00:38, 1.77s/it] Training Epoch: 5/5, step 8/117 completed (loss: 6.536146884172922e-06): 9%\|[34m▊ [0m\| 2/23 [00:03<00:34, 1.64s/it] Training Epoch: 5/5, step 9/117 completed (loss: 4.963784249412129e-06): 9%\|[34m▊ [0m\| 2/23 [00:03<00:34, 1.64s/it] Training Epoch: 5/5, step 10/117 completed (loss: 2.9074226404190995e-06): 9%\|[34m▊ [0m\| 2/23 [00:03<00:34, 1.64s/it] Training Epoch: 5/5, step 11/117 completed (loss: 6.0580819081224035e-06): 9%\|[34m▊ [0m\| 2/23 [00:03<00:34, 1.64s/it] Training Epoch: 5/5, step 12/117 completed (loss: 2.838283080563997e-06): 9%\|[34m▊ [0m\| 2/23 [00:04<00:34, 1.64s/it] Training Epoch: 5/5, step 13/117 completed (loss: 6.646083875239128e-06): 9%\|[34m▊ [0m\| 2/23 [00:04<00:34, 1.64s/it] Training Epoch: 5/5, step 13/117 completed (loss: 6.646083875239128e-06): 13%\|[34m█▎ [0m\| 3/23 [00:04<00:32, 1.60s/it] Training Epoch: 5/5, step 14/117 completed (loss: 6.435508112190291e-06): 13%\|[34m█▎ [0m\| 3/23 [00:04<00:32, 1.60s/it] Training Epoch: 5/5, step 15/117 completed (loss: 2.870468051696662e-06): 13%\|[34m█▎ [0m\| 3/23 [00:05<00:32, 1.60s/it] Training Epoch: 5/5, step 16/117 completed (loss: 2.9205348255345598e-06): 13%\|[34m█▎ [0m\| 3/23 [00:05<00:32, 1.60s/it] Training Epoch: 5/5, step 17/117 completed (loss: 2.792984105326468e-06): 13%\|[34m█▎ [0m\| 3/23 [00:05<00:32, 1.60s/it] Training Epoch: 5/5, step 18/117 completed (loss: 2.9253089905978413e-06): 13%\|[34m█▎ [0m\| 3/23 [00:06<00:32, 1.60s/it] Training Epoch: 5/5, step 18/117 completed (loss: 2.9253089905978413e-06): 17%\|[34m█▋ [0m\| 4/23 [00:06<00:29, 1.55s/it] Training Epoch: 5/5, step 19/117 completed (loss: 4.710359917226015e-06): 17%\|[34m█▋ [0m\| 4/23 [00:06<00:29, 1.55s/it] Training Epoch: 5/5, step 20/117 completed (loss: 2.8108654532843502e-06): 17%\|[34m█▋ [0m\| 4/23 [00:06<00:29, 1.55s/it] Training Epoch: 5/5, step 21/117 completed (loss: 2.791798578982707e-06): 17%\|[34m█▋ [0m\| 4/23 [00:06<00:29, 1.55s/it] Training Epoch: 5/5, step 22/117 completed (loss: 2.683320190044469e-06): 17%\|[34m█▋ [0m\| 4/23 [00:07<00:29, 1.55s/it] Training Epoch: 5/5, step 23/117 completed (loss: 2.8537854177557165e-06): 17%\|[34m█▋ [0m\| 4/23 [00:07<00:29, 1.55s/it] Training Epoch: 5/5, step 23/117 completed (loss: 2.8537854177557165e-06): 22%\|[34m██▏ [0m\| 5/23 [00:07<00:28, 1.57s/it] Training Epoch: 5/5, step 24/117 completed (loss: 5.593235073320102e-06): 22%\|[34m██▏ [0m\| 5/23 [00:07<00:28, 1.57s/it] Training Epoch: 5/5, step 25/117 completed (loss: 2.8585479867615504e-06): 22%\|[34m██▏ [0m\| 5/23 [00:08<00:28, 1.57s/it] Training Epoch: 5/5, step 26/117 completed (loss: 4.187156719126506e-06): 22%\|[34m██▏ [0m\| 5/23 [00:08<00:28, 1.57s/it] Training Epoch: 5/5, step 27/117 completed (loss: 6.044826477591414e-06): 22%\|[34m██▏ [0m\| 5/23 [00:09<00:28, 1.57s/it] Training Epoch: 5/5, step 28/117 completed (loss: 5.88590000916156e-06): 22%\|[34m██▏ [0m\| 5/23 [00:09<00:28, 1.57s/it] Training Epoch: 5/5, step 28/117 completed (loss: 5.88590000916156e-06): 26%\|[34m██▌ [0m\| 6/23 [00:09<00:28, 1.67s/it] Training Epoch: 5/5, step 29/117 completed (loss: 2.8668923732766416e-06): 26%\|[34m██▌ [0m\| 6/23 [00:09<00:28, 1.67s/it] Training Epoch: 5/5, step 30/117 completed (loss: 2.865706619559205e-06): 26%\|[34m██▌ [0m\| 6/23 [00:10<00:28, 1.67s/it] Training Epoch: 5/5, step 31/117 completed (loss: 5.598521056526806e-06): 26%\|[34m██▌ [0m\| 6/23 [00:10<00:28, 1.67s/it] Training Epoch: 5/5, step 32/117 completed (loss: 2.8072952318325406e-06): 26%\|[34m██▌ [0m\| 6/23 [00:10<00:28, 1.67s/it] Training Epoch: 5/5, step 33/117 completed (loss: 2.853779960787506e-06): 26%\|[34m██▌ [0m\| 6/23 [00:11<00:28, 1.67s/it] Training Epoch: 5/5, step 33/117 completed (loss: 2.853779960787506e-06): 30%\|[34m███ [0m\| 7/23 [00:11<00:28, 1.77s/it] Training Epoch: 5/5, step 34/117 completed (loss: 5.940210030530579e-06): 30%\|[34m███ [0m\| 7/23 [00:11<00:28, 1.77s/it] Training Epoch: 5/5, step 35/117 completed (loss: 2.8907254545629257e-06): 30%\|[34m███ [0m\| 7/23 [00:12<00:28, 1.77s/it] Training Epoch: 5/5, step 36/117 completed (loss: 2.809673105730326e-06): 30%\|[34m███ [0m\| 7/23 [00:12<00:28, 1.77s/it] Training Epoch: 5/5, step 37/117 completed (loss: 2.7965604658675147e-06): 30%\|[34m███ [0m\| 7/23 [00:12<00:28, 1.77s/it] Training Epoch: 5/5, step 38/117 completed (loss: 2.8239776383998105e-06): 30%\|[34m███ [0m\| 7/23 [00:13<00:28, 1.77s/it] Training Epoch: 5/5, step 38/117 completed (loss: 2.8239776383998105e-06): 35%\|[34m███▍ [0m\| 8/23 [00:13<00:27, 1.82s/it] Training Epoch: 5/5, step 39/117 completed (loss: 5.4634365369565785e-06): 35%\|[34m███▍ [0m\| 8/23 [00:13<00:27, 1.82s/it] Training Epoch: 5/5, step 40/117 completed (loss: 2.813255377986934e-06): 35%\|[34m███▍ [0m\| 8/23 [00:14<00:27, 1.82s/it] Training Epoch: 5/5, step 41/117 completed (loss: 2.8025203846482327e-06): 35%\|[34m███▍ [0m\| 8/23 [00:14<00:27, 1.82s/it] Training Epoch: 5/5, step 42/117 completed (loss: 3.745517460629344e-06): 35%\|[34m███▍ [0m\| 8/23 [00:14<00:27, 1.82s/it] Training Epoch: 5/5, step 43/117 completed (loss: 5.729657004849287e-06): 35%\|[34m███▍ [0m\| 8/23 [00:15<00:27, 1.82s/it] Training Epoch: 5/5, step 43/117 completed (loss: 5.729657004849287e-06): 39%\|[34m███▉ [0m\| 9/23 [00:15<00:25, 1.80s/it] Training Epoch: 5/5, step 44/117 completed (loss: 2.7667585982271703e-06): 39%\|[34m███▉ [0m\| 9/23 [00:15<00:25, 1.80s/it] Training Epoch: 5/5, step 45/117 completed (loss: 5.2833252084383275e-06): 39%\|[34m███▉ [0m\| 9/23 [00:15<00:25, 1.80s/it] Training Epoch: 5/5, step 46/117 completed (loss: 2.723851366681629e-06): 39%\|[34m███▉ [0m\| 9/23 [00:16<00:25, 1.80s/it] Training Epoch: 5/5, step 47/117 completed (loss: 2.6988177523890045e-06): 39%\|[34m███▉ [0m\| 9/23 [00:16<00:25, 1.80s/it] Training Epoch: 5/5, step 48/117 completed (loss: 2.8299380119278794e-06): 39%\|[34m███▉ [0m\| 9/23 [00:16<00:25, 1.80s/it] Training Epoch: 5/5, step 48/117 completed (loss: 2.8299380119278794e-06): 43%\|[34m████▎ [0m\| 10/23 [00:17<00:23, 1.80s/it] Training Epoch: 5/5, step 49/117 completed (loss: 2.686896550585516e-06): 43%\|[34m████▎ [0m\| 10/23 [00:17<00:23, 1.80s/it] Training Epoch: 5/5, step 50/117 completed (loss: 2.708354031710769e-06): 43%\|[34m████▎ [0m\| 10/23 [00:17<00:23, 1.80s/it] Training Epoch: 5/5, step 51/117 completed (loss: 5.684619281964842e-06): 43%\|[34m████▎ [0m\| 10/23 [00:17<00:23, 1.80s/it] Training Epoch: 5/5, step 52/117 completed (loss: 2.6415987122163642e-06): 43%\|[34m████▎ [0m\| 10/23 [00:18<00:23, 1.80s/it] Training Epoch: 5/5, step 53/117 completed (loss: 5.177379534870852e-06): 43%\|[34m████▎ [0m\| 10/23 [00:18<00:23, 1.80s/it] Training Epoch: 5/5, step 53/117 completed (loss: 5.177379534870852e-06): 48%\|[34m████▊ [0m\| 11/23 [00:19<00:21, 1.79s/it] Training Epoch: 5/5, step 54/117 completed (loss: 2.878813347706455e-06): 48%\|[34m████▊ [0m\| 11/23 [00:19<00:21, 1.79s/it] Training Epoch: 5/5, step 55/117 completed (loss: 2.7143075840285746e-06): 48%\|[34m████▊ [0m\| 11/23 [00:19<00:21, 1.79s/it] Training Epoch: 5/5, step 56/117 completed (loss: 2.6284858449798776e-06): 48%\|[34m████▊ [0m\| 11/23 [00:19<00:21, 1.79s/it] Training Epoch: 5/5, step 57/117 completed (loss: 2.6547111247055e-06): 48%\|[34m████▊ [0m\| 11/23 [00:20<00:21, 1.79s/it] Training Epoch: 5/5, step 58/117 completed (loss: 5.006532774132211e-06): 48%\|[34m████▊ [0m\| 11/23 [00:20<00:21, 1.79s/it] Training Epoch: 5/5, step 58/117 completed (loss: 5.006532774132211e-06): 52%\|[34m█████▏ [0m\| 12/23 [00:20<00:19, 1.77s/it] Training Epoch: 5/5, step 59/117 completed (loss: 2.6594796054268954e-06): 52%\|[34m█████▏ [0m\| 12/23 [00:20<00:19, 1.77s/it] Training Epoch: 5/5, step 60/117 completed (loss: 5.178691480978159e-06): 52%\|[34m█████▏ [0m\| 12/23 [00:21<00:19, 1.77s/it] Training Epoch: 5/5, step 61/117 completed (loss: 5.373386557039339e-06): 52%\|[34m█████▏ [0m\| 12/23 [00:21<00:19, 1.77s/it] Training Epoch: 5/5, step 62/117 completed (loss: 2.7012017653760267e-06): 52%\|[34m█████▏ [0m\| 12/23 [00:21<00:19, 1.77s/it] Training Epoch: 5/5, step 63/117 completed (loss: 5.234325271885609e-06): 52%\|[34m█████▏ [0m\| 12/23 [00:22<00:19, 1.77s/it] Training Epoch: 5/5, step 63/117 completed (loss: 5.234325271885609e-06): 57%\|[34m█████▋ [0m\| 13/23 [00:22<00:17, 1.74s/it] Training Epoch: 5/5, step 64/117 completed (loss: 2.698817525015329e-06): 57%\|[34m█████▋ [0m\| 13/23 [00:22<00:17, 1.74s/it] Training Epoch: 5/5, step 65/117 completed (loss: 2.634446445881622e-06): 57%\|[34m█████▋ [0m\| 13/23 [00:22<00:17, 1.74s/it] Training Epoch: 5/5, step 66/117 completed (loss: 4.72577812615782e-06): 57%\|[34m█████▋ [0m\| 13/23 [00:23<00:17, 1.74s/it] Training Epoch: 5/5, step 67/117 completed (loss: 2.617763584567001e-06): 57%\|[34m█████▋ [0m\| 13/23 [00:23<00:17, 1.74s/it] Training Epoch: 5/5, step 68/117 completed (loss: 4.994627943233354e-06): 57%\|[34m█████▋ [0m\| 13/23 [00:23<00:17, 1.74s/it] Training Epoch: 5/5, step 68/117 completed (loss: 4.994627943233354e-06): 61%\|[34m██████ [0m\| 14/23 [00:23<00:15, 1.68s/it] Training Epoch: 5/5, step 69/117 completed (loss: 4.811836788576329e-06): 61%\|[34m██████ [0m\| 14/23 [00:23<00:15, 1.68s/it] Training Epoch: 5/5, step 70/117 completed (loss: 2.709545697143767e-06): 61%\|[34m██████ [0m\| 14/23 [00:24<00:15, 1.68s/it] Training Epoch: 5/5, step 71/117 completed (loss: 3.769347358684172e-06): 61%\|[34m██████ [0m\| 14/23 [00:24<00:15, 1.68s/it] Training Epoch: 5/5, step 72/117 completed (loss: 5.047586000728188e-06): 61%\|[34m██████ [0m\| 14/23 [00:25<00:15, 1.68s/it] Training Epoch: 5/5, step 73/117 completed (loss: 5.0197836571896914e-06): 61%\|[34m██████ [0m\| 14/23 [00:25<00:15, 1.68s/it] Training Epoch: 5/5, step 73/117 completed (loss: 5.0197836571896914e-06): 65%\|[34m██████▌ [0m\| 15/23 [00:25<00:13, 1.69s/it] Training Epoch: 5/5, step 74/117 completed (loss: 2.8001363716612104e-06): 65%\|[34m██████▌ [0m\| 15/23 [00:25<00:13, 1.69s/it] Training Epoch: 5/5, step 75/117 completed (loss: 5.255494670564076e-06): 65%\|[34m██████▌ [0m\| 15/23 [00:25<00:13, 1.69s/it] Training Epoch: 5/5, step 76/117 completed (loss: 5.058171609562123e-06): 65%\|[34m██████▌ [0m\| 15/23 [00:26<00:13, 1.69s/it] Training Epoch: 5/5, step 77/117 completed (loss: 5.083362339064479e-06): 65%\|[34m██████▌ [0m\| 15/23 [00:26<00:13, 1.69s/it] Training Epoch: 5/5, step 78/117 completed (loss: 4.719141088571632e-06): 65%\|[34m██████▌ [0m\| 15/23 [00:26<00:13, 1.69s/it] Training Epoch: 5/5, step 78/117 completed (loss: 4.719141088571632e-06): 70%\|[34m██████▉ [0m\| 16/23 [00:27<00:11, 1.67s/it] Training Epoch: 5/5, step 79/117 completed (loss: 2.5390875180164585e-06): 70%\|[34m██████▉ [0m\| 16/23 [00:27<00:11, 1.67s/it] Training Epoch: 5/5, step 80/117 completed (loss: 4.976075160811888e-06): 70%\|[34m██████▉ [0m\| 16/23 [00:27<00:11, 1.67s/it] Training Epoch: 5/5, step 81/117 completed (loss: 2.7429175588622456e-06): 70%\|[34m██████▉ [0m\| 16/23 [00:27<00:11, 1.67s/it] Training Epoch: 5/5, step 82/117 completed (loss: 4.981354322808329e-06): 70%\|[34m██████▉ [0m\| 16/23 [00:28<00:11, 1.67s/it] Training Epoch: 5/5, step 83/117 completed (loss: 2.6189486561634112e-06): 70%\|[34m██████▉ [0m\| 16/23 [00:28<00:11, 1.67s/it] Training Epoch: 5/5, step 83/117 completed (loss: 2.6189486561634112e-06): 74%\|[34m███████▍ [0m\| 17/23 [00:29<00:10, 1.68s/it] Training Epoch: 5/5, step 84/117 completed (loss: 2.670207550181658e-06): 74%\|[34m███████▍ [0m\| 17/23 [00:29<00:10, 1.68s/it] Training Epoch: 5/5, step 85/117 completed (loss: 5.152214725967497e-06): 74%\|[34m███████▍ [0m\| 17/23 [00:29<00:10, 1.68s/it] Training Epoch: 5/5, step 86/117 completed (loss: 5.076725756225642e-06): 74%\|[34m███████▍ [0m\| 17/23 [00:29<00:10, 1.68s/it] Training Epoch: 5/5, step 87/117 completed (loss: 2.5331266897410387e-06): 74%\|[34m███████▍ [0m\| 17/23 [00:30<00:10, 1.68s/it] Training Epoch: 5/5, step 88/117 completed (loss: 2.5712724891491234e-06): 74%\|[34m███████▍ [0m\| 17/23 [00:30<00:10, 1.68s/it] Training Epoch: 5/5, step 88/117 completed (loss: 2.5712724891491234e-06): 78%\|[34m███████▊ [0m\| 18/23 [00:30<00:08, 1.67s/it] Training Epoch: 5/5, step 89/117 completed (loss: 2.6797449663718e-06): 78%\|[34m███████▊ [0m\| 18/23 [00:30<00:08, 1.67s/it] Training Epoch: 5/5, step 90/117 completed (loss: 4.704554157797247e-06): 78%\|[34m███████▊ [0m\| 18/23 [00:30<00:08, 1.67s/it] Training Epoch: 5/5, step 91/117 completed (loss: 4.668812380259624e-06): 78%\|[34m███████▊ [0m\| 18/23 [00:31<00:08, 1.67s/it] Training Epoch: 5/5, step 92/117 completed (loss: 2.6129885100090178e-06): 78%\|[34m███████▊ [0m\| 18/23 [00:31<00:08, 1.67s/it] Training Epoch: 5/5, step 93/117 completed (loss: 4.998610165785067e-06): 78%\|[34m███████▊ [0m\| 18/23 [00:31<00:08, 1.67s/it] Training Epoch: 5/5, step 93/117 completed (loss: 4.998610165785067e-06): 83%\|[34m████████▎ [0m\| 19/23 [00:32<00:06, 1.65s/it] Training Epoch: 5/5, step 94/117 completed (loss: 4.662168066715822e-06): 83%\|[34m████████▎ [0m\| 19/23 [00:32<00:06, 1.65s/it] Training Epoch: 5/5, step 95/117 completed (loss: 2.6082202566612978e-06): 83%\|[34m████████▎ [0m\| 19/23 [00:32<00:06, 1.65s/it] Training Epoch: 5/5, step 96/117 completed (loss: 4.205264303891454e-06): 83%\|[34m████████▎ [0m\| 19/23 [00:32<00:06, 1.65s/it] Training Epoch: 5/5, step 97/117 completed (loss: 4.48604760094895e-06): 83%\|[34m████████▎ [0m\| 19/23 [00:33<00:06, 1.65s/it] Training Epoch: 5/5, step 98/117 completed (loss: 4.470148269319907e-06): 83%\|[34m████████▎ [0m\| 19/23 [00:33<00:06, 1.65s/it] Training Epoch: 5/5, step 98/117 completed (loss: 4.470148269319907e-06): 87%\|[34m████████▋ [0m\| 20/23 [00:33<00:04, 1.65s/it] Training Epoch: 5/5, step 99/117 completed (loss: 4.626451755029848e-06): 87%\|[34m████████▋ [0m\| 20/23 [00:33<00:04, 1.65s/it] Training Epoch: 5/5, step 100/117 completed (loss: 2.623717364258482e-06): 87%\|[34m████████▋ [0m\| 20/23 [00:34<00:04, 1.65s/it] Training Epoch: 5/5, step 101/117 completed (loss: 2.4878279418771854e-06): 87%\|[34m████████▋ [0m\| 20/23 [00:34<00:04, 1.65s/it] Training Epoch: 5/5, step 102/117 completed (loss: 2.6880823043029523e-06): 87%\|[34m████████▋ [0m\| 20/23 [00:34<00:04, 1.65s/it] Training Epoch: 5/5, step 103/117 completed (loss: 2.6404065920360154e-06): 87%\|[34m████████▋ [0m\| 20/23 [00:35<00:04, 1.65s/it] Training Epoch: 5/5, step 103/117 completed (loss: 2.6404065920360154e-06): 91%\|[34m█████████▏[0m\| 21/23 [00:35<00:03, 1.65s/it] Training Epoch: 5/5, step 104/117 completed (loss: 2.480675675542443e-06): 91%\|[34m█████████▏[0m\| 21/23 [00:35<00:03, 1.65s/it] Training Epoch: 5/5, step 105/117 completed (loss: 4.52182348453789e-06): 91%\|[34m█████████▏[0m\| 21/23 [00:35<00:03, 1.65s/it] Training Epoch: 5/5, step 106/117 completed (loss: 2.474715756761725e-06): 91%\|[34m█████████▏[0m\| 21/23 [00:36<00:03, 1.65s/it] Training Epoch: 5/5, step 107/117 completed (loss: 4.535041625786107e-06): 91%\|[34m█████████▏[0m\| 21/23 [00:36<00:03, 1.65s/it] Training Epoch: 5/5, step 108/117 completed (loss: 2.480675675542443e-06): 91%\|[34m█████████▏[0m\| 21/23 [00:36<00:03, 1.65s/it] Training Epoch: 5/5, step 108/117 completed (loss: 2.480675675542443e-06): 96%\|[34m█████████▌[0m\| 22/23 [00:37<00:01, 1.65s/it] Training Epoch: 5/5, step 109/117 completed (loss: 4.537697805062635e-06): 96%\|[34m█████████▌[0m\| 22/23 [00:37<00:01, 1.65s/it] Training Epoch: 5/5, step 110/117 completed (loss: 4.516516128205694e-06): 96%\|[34m█████████▌[0m\| 22/23 [00:37<00:01, 1.65s/it] Training Epoch: 5/5, step 111/117 completed (loss: 2.6511343094171025e-06): 96%\|[34m█████████▌[0m\| 22/23 [00:37<00:01, 1.65s/it] Training Epoch: 5/5, step 112/117 completed (loss: 2.568888930909452e-06): 96%\|[34m█████████▌[0m\| 22/23 [00:38<00:01, 1.65s/it] Training Epoch: 5/5, step 113/117 completed (loss: 2.7000098725693533e-06): 96%\|[34m█████████▌[0m\| 22/23 [00:38<00:01, 1.65s/it] Training Epoch: 5/5, step 113/117 completed (loss: 2.7000098725693533e-06): 100%\|[34m██████████[0m\| 23/23 [00:38<00:00, 1.67s/it] Training Epoch: 5/5, step 114/117 completed (loss: 4.2357341953902505e-06): 100%\|[34m██████████[0m\| 23/23 [00:38<00:00, 1.67s/it] Training Epoch: 5/5, step 115/117 completed (loss: 2.6058362436742755e-06): 100%\|[34m██████████[0m\| 23/23 [00:39<00:00, 1.67s/it] Training Epoch: 5/5, step 115/117 completed (loss: 2.6058362436742755e-06): : 24it [00:39, 1.36s/it] Training Epoch: 5/5, step 116/117 completed (loss: 2.6141806301893666e-06): : 24it [00:39, 1.36s/it] Training Epoch: 5/5, step 116/117 completed (loss: 2.6141806301893666e-06): : 24it [00:39, 1.65s/it]
	Max CUDA memory allocated was 19 GB
	Max CUDA memory reserved was 19 GB
	Peak active CUDA memory was 19 GB
	CUDA Malloc retries : 0
	CPU Total Peak Memory consumed during the train (max): 2 GB
	evaluating Epoch: 0%\|[32m [0m\| 0/145 [00:00<?, ?it/s] evaluating Epoch: 1%\|[32m [0m\| 1/145 [00:00<00:37, 3.88it/s] evaluating Epoch: 1%\|[32m▏ [0m\| 2/145 [00:00<00:27, 5.21it/s] evaluating Epoch: 2%\|[32m▏ [0m\| 3/145 [00:00<00:23, 5.99it/s] evaluating Epoch: 3%\|[32m▎ [0m\| 4/145 [00:00<00:22, 6.40it/s] evaluating Epoch: 3%\|[32m▎ [0m\| 5/145 [00:00<00:21, 6.41it/s] evaluating Epoch: 4%\|[32m▍ [0m\| 6/145 [00:00<00:21, 6.53it/s] evaluating Epoch: 5%\|[32m▍ [0m\| 7/145 [00:01<00:20, 6.72it/s] evaluating Epoch: 6%\|[32m▌ [0m\| 8/145 [00:01<00:19, 6.94it/s] evaluating Epoch: 6%\|[32m▌ [0m\| 9/145 [00:01<00:19, 7.11it/s] evaluating Epoch: 7%\|[32m▋ [0m\| 10/145 [00:01<00:19, 7.11it/s] evaluating Epoch: 8%\|[32m▊ [0m\| 11/145 [00:01<00:19, 7.00it/s] evaluating Epoch: 8%\|[32m▊ [0m\| 12/145 [00:01<00:18, 7.00it/s] evaluating Epoch: 9%\|[32m▉ [0m\| 13/145 [00:01<00:18, 7.00it/s] evaluating Epoch: 10%\|[32m▉ [0m\| 14/145 [00:02<00:20, 6.29it/s] evaluating Epoch: 10%\|[32m█ [0m\| 15/145 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	eval_ppl=tensor(1.5961, device='cuda:0') eval_epoch_loss=tensor(0.4675, device='cuda:0')
	we are about to save the PEFT modules
	PEFT modules are saved in /data/colosseum_dataset/wm_data/finetuned_models/vlm_move_hanger directory
	Epoch 5: train_perplexity=1.0000, train_epoch_loss=0.0000, epoch time 40.07555335666984s
	Key: avg_train_prep, Value: 1.060967993736267
	Key: avg_train_loss, Value: 0.05565963617045781
	Key: avg_eval_prep, Value: 1.3878916501998901
	Key: avg_eval_loss, Value: 0.31500654518604276
	Key: avg_epoch_time, Value: 39.51795169655234
	Key: avg_checkpoint_time, Value: 0.2974603595212102
	we are about to save the PEFT modules
	PEFT modules are saved in /data/colosseum_dataset/wm_data/finetuned_models/vlm_move_hanger directory
	Traceback (most recent call last):
	File "/home/zxn/Forewarn/vlm/llama-recipes/recipes/quickstart/finetuning/finetuning_wm.py", line 9, in <module>
	fire.Fire(main)
	File "/home/zxn/anaconda3/envs/dreamer/lib/python3.10/site-packages/fire/core.py", line 135, in Fire
	component_trace = _Fire(component, args, parsed_flag_args, context, name)
	File "/home/zxn/anaconda3/envs/dreamer/lib/python3.10/site-packages/fire/core.py", line 468, in _Fire
	component, remaining_args = _CallAndUpdateTrace(
	File "/home/zxn/anaconda3/envs/dreamer/lib/python3.10/site-packages/fire/core.py", line 684, in _CallAndUpdateTrace
	component = fn(varargs, *kwargs)
	File "/home/zxn/anaconda3/envs/dreamer/lib/python3.10/site-packages/llama_recipes/finetuning_wm.py", line 694, in main
	results, overall_acc = eval(model, train_dataloader, device_id, processor, dataset_config, split ='train')
	UnboundLocalError: local variable 'device_id' referenced before assignment
	[1;34mwandb[0m: 🚀 View run [33mvlm_lora_move_hanger[0m at: [34mhttps://wandb.ai/yukizhang0527-harbin-institute-of-technology/llama_recipes/runs/fk4jc4vy[0m
	[1;34mwandb[0m: Find logs at: [1;35mwandb/run-20260409_101228-fk4jc4vy/logs[0m
	E0409 10:18:01.123575 140112953571136 torch/distributed/elastic/multiprocessing/api.py:826] failed (exitcode: 1) local_rank: 0 (pid: 659266) of binary: /home/zxn/anaconda3/envs/dreamer/bin/python3.10
	Traceback (most recent call last):
	File "/home/zxn/anaconda3/envs/dreamer/bin/torchrun", line 6, in <module>
	sys.exit(main())
	File "/home/zxn/anaconda3/envs/dreamer/lib/python3.10/site-packages/torch/distributed/elastic/multiprocessing/errors/__init__.py", line 347, in wrapper
	return f(args, *kwargs)
	File "/home/zxn/anaconda3/envs/dreamer/lib/python3.10/site-packages/torch/distributed/run.py", line 879, in main
	run(args)
	File "/home/zxn/anaconda3/envs/dreamer/lib/python3.10/site-packages/torch/distributed/run.py", line 870, in run
	elastic_launch(
	File "/home/zxn/anaconda3/envs/dreamer/lib/python3.10/site-packages/torch/distributed/launcher/api.py", line 132, in __call__
	return launch_agent(self._config, self._entrypoint, list(args))
	File "/home/zxn/anaconda3/envs/dreamer/lib/python3.10/site-packages/torch/distributed/launcher/api.py", line 263, in launch_agent
	raise ChildFailedError(
	torch.distributed.elastic.multiprocessing.errors.ChildFailedError:
	============================================================
	/home/zxn/Forewarn/vlm/llama-recipes/recipes/quickstart/finetuning/finetuning_wm.py FAILED
	------------------------------------------------------------
	Failures:
	<NO_OTHER_FAILURES>
	------------------------------------------------------------
	Root Cause (first observed failure):
	[0]:
	time : 2026-04-09_10:18:01
	host : node0029
	rank : 0 (local_rank: 0)
	exitcode : 1 (pid: 659266)
	error_file: <N/A>
	traceback : To enable traceback see: https://pytorch.org/docs/stable/elastic/errors.html
	============================================================