slurm submission log: 2024-05-08 15:15:14.383115
created following sbatch script: 

###############################

#!/bin/bash

#SBATCH --account=nlp
#SBATCH --cpus-per-task=16
#SBATCH --dependency=afterok:7590680
#SBATCH --gres=gpu:2
#SBATCH --job-name=tthrush-job-3657394
#SBATCH --mem=400G
#SBATCH --nodelist=sphinx2
#SBATCH --open-mode=append
#SBATCH --output=/juice5/scr5/tthrush/pretraining-coreset-selection/llm_pretraining/llms/pythia-70m_xnli_en/train_job_output.txt
#SBATCH --partition=sphinx
#SBATCH --time=14-0

# activate your desired anaconda environment
. /nlp/scr/tthrush/miniconda3/etc/profile.d/conda.sh ; conda activate pretraining-coreset-selection

# cd to working directory
cd .

# launch commands
srun --unbuffered run_as_child_processes 'torchrun --master_port 29501 --nproc_per_node=2 train_llm.py --dataset_id /juice5/scr5/tthrush/pretraining-coreset-selection/llm_pretraining/training_data/xnli_en --output_dir /juice5/scr5/tthrush/pretraining-coreset-selection/llm_pretraining/llms/pythia-70m_xnli_en --output_hub_id pythia-70m_xnli_en --model_id /pythia-70m --num_train_epochs 1 --learning_rate 1e-3 --warmup_ratio=0.1 --gradient_accumulation_steps 2'

###############################

submission to slurm complete!


###############################
slurm submission output

Submitted batch job 7590683



###############################

###############################
start time: 2024-05-08 16:29:41.045821
machine: sphinx2
conda env: pretraining-coreset-selection
###############################
running following processes

	torchrun --master_port 29501 --nproc_per_node=2 train_llm.py --dataset_id /juice5/scr5/tthrush/pretraining-coreset-selection/llm_pretraining/training_data/xnli_en --output_dir /juice5/scr5/tthrush/pretraining-coreset-selection/llm_pretraining/llms/pythia-70m_xnli_en --output_hub_id pythia-70m_xnli_en --model_id /pythia-70m --num_train_epochs 1 --learning_rate 1e-3 --warmup_ratio=0.1 --gradient_accumulation_steps 2


###############################
command outputs: 


[2024-05-08 16:29:42,576] torch.distributed.run: [WARNING] 
[2024-05-08 16:29:42,576] torch.distributed.run: [WARNING] *****************************************
[2024-05-08 16:29:42,576] torch.distributed.run: [WARNING] Setting OMP_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed. 
[2024-05-08 16:29:42,576] torch.distributed.run: [WARNING] *****************************************
05/08/2024 16:29:46 - INFO - __main__ - Script parameters ScriptArguments(dataset_id='/juice5/scr5/tthrush/pretraining-coreset-selection/llm_pretraining/training_data/xnli_en', output_dir='/juice5/scr5/tthrush/pretraining-coreset-selection/llm_pretraining/llms/pythia-70m_xnli_en', output_hub_id='pythia-70m_xnli_en', hf_hub_token=True, model_id='/pythia-70m', per_device_train_batch_size=256, num_train_epochs=1, learning_rate=0.001, gradient_accumulation_steps=2, from_scratch=True, warmup_ratio=0.1, adam_beta1=0.9, adam_beta2=0.95, adam_epsilon=1e-08, weight_decay=0.01, lr_scheduler_type='cosine', local_rank=0, resume_from_checkpoint=False, deepspeed=None, peft=False)
05/08/2024 16:29:46 - INFO - __main__ - Script parameters ScriptArguments(dataset_id='/juice5/scr5/tthrush/pretraining-coreset-selection/llm_pretraining/training_data/xnli_en', output_dir='/juice5/scr5/tthrush/pretraining-coreset-selection/llm_pretraining/llms/pythia-70m_xnli_en', output_hub_id='pythia-70m_xnli_en', hf_hub_token=True, model_id='/pythia-70m', per_device_train_batch_size=256, num_train_epochs=1, learning_rate=0.001, gradient_accumulation_steps=2, from_scratch=True, warmup_ratio=0.1, adam_beta1=0.9, adam_beta2=0.95, adam_epsilon=1e-08, weight_decay=0.01, lr_scheduler_type='cosine', local_rank=0, resume_from_checkpoint=False, deepspeed=None, peft=False)
Traceback (most recent call last):
  File "/nlp/scr/tthrush/miniconda3/envs/pretraining-coreset-selection/lib/python3.10/site-packages/transformers/utils/hub.py", line 398, in cached_file
    resolved_file = hf_hub_download(
  File "/nlp/scr/tthrush/miniconda3/envs/pretraining-coreset-selection/lib/python3.10/site-packages/huggingface_hub/utils/_validators.py", line 110, in _inner_fn
    validate_repo_id(arg_value)
  File "/nlp/scr/tthrush/miniconda3/envs/pretraining-coreset-selection/lib/python3.10/site-packages/huggingface_hub/utils/_validators.py", line 164, in validate_repo_id
    raise HFValidationError(
huggingface_hub.utils._validators.HFValidationError: Repo id must use alphanumeric chars or '-', '_', '.', '--' and '..' are forbidden, '-' and '.' cannot start or end the name, max length is 96: '/pythia-70m'.

The above exception was the direct cause of the following exception:

Traceback (most recent call last):
  File "/juice5/scr5/tthrush/pretraining-coreset-selection/llm_pretraining/train_llm.py", line 202, in <module>
    train_model()
  File "/juice5/scr5/tthrush/pretraining-coreset-selection/llm_pretraining/train_llm.py", line 166, in train_model
    config = AutoConfig.from_pretrained(script_args.model_id)
  File "/nlp/scr/tthrush/miniconda3/envs/pretraining-coreset-selection/lib/python3.10/site-packages/transformers/models/auto/configuration_auto.py", line 1138, in from_pretrained
    config_dict, unused_kwargs = PretrainedConfig.get_config_dict(pretrained_model_name_or_path, **kwargs)
  File "/nlp/scr/tthrush/miniconda3/envs/pretraining-coreset-selection/lib/python3.10/site-packages/transformers/configuration_utils.py", line 631, in get_config_dict
    config_dict, kwargs = cls._get_config_dict(pretrained_model_name_or_path, **kwargs)
  File "/nlp/scr/tthrush/miniconda3/envs/pretraining-coreset-selection/lib/python3.10/site-packages/transformers/configuration_utils.py", line 686, in _get_config_dict
    resolved_config_file = cached_file(
  File "/nlp/scr/tthrush/miniconda3/envs/pretraining-coreset-selection/lib/python3.10/site-packages/transformers/utils/hub.py", line 462, in cached_file
    raise EnvironmentError(
OSError: Incorrect path_or_model_id: '/pythia-70m'. Please provide either the path to a local folder or the repo_id of a model on the Hub.
Traceback (most recent call last):
  File "/nlp/scr/tthrush/miniconda3/envs/pretraining-coreset-selection/lib/python3.10/site-packages/transformers/utils/hub.py", line 398, in cached_file
    resolved_file = hf_hub_download(
  File "/nlp/scr/tthrush/miniconda3/envs/pretraining-coreset-selection/lib/python3.10/site-packages/huggingface_hub/utils/_validators.py", line 110, in _inner_fn
    validate_repo_id(arg_value)
  File "/nlp/scr/tthrush/miniconda3/envs/pretraining-coreset-selection/lib/python3.10/site-packages/huggingface_hub/utils/_validators.py", line 164, in validate_repo_id
    raise HFValidationError(
huggingface_hub.utils._validators.HFValidationError: Repo id must use alphanumeric chars or '-', '_', '.', '--' and '..' are forbidden, '-' and '.' cannot start or end the name, max length is 96: '/pythia-70m'.

The above exception was the direct cause of the following exception:

Traceback (most recent call last):
  File "/juice5/scr5/tthrush/pretraining-coreset-selection/llm_pretraining/train_llm.py", line 202, in <module>
    train_model()
  File "/juice5/scr5/tthrush/pretraining-coreset-selection/llm_pretraining/train_llm.py", line 166, in train_model
    config = AutoConfig.from_pretrained(script_args.model_id)
  File "/nlp/scr/tthrush/miniconda3/envs/pretraining-coreset-selection/lib/python3.10/site-packages/transformers/models/auto/configuration_auto.py", line 1138, in from_pretrained
    config_dict, unused_kwargs = PretrainedConfig.get_config_dict(pretrained_model_name_or_path, **kwargs)
  File "/nlp/scr/tthrush/miniconda3/envs/pretraining-coreset-selection/lib/python3.10/site-packages/transformers/configuration_utils.py", line 631, in get_config_dict
    config_dict, kwargs = cls._get_config_dict(pretrained_model_name_or_path, **kwargs)
  File "/nlp/scr/tthrush/miniconda3/envs/pretraining-coreset-selection/lib/python3.10/site-packages/transformers/configuration_utils.py", line 686, in _get_config_dict
    resolved_config_file = cached_file(
  File "/nlp/scr/tthrush/miniconda3/envs/pretraining-coreset-selection/lib/python3.10/site-packages/transformers/utils/hub.py", line 462, in cached_file
    raise EnvironmentError(
OSError: Incorrect path_or_model_id: '/pythia-70m'. Please provide either the path to a local folder or the repo_id of a model on the Hub.
[2024-05-08 16:29:52,595] torch.distributed.elastic.multiprocessing.api: [ERROR] failed (exitcode: 1) local_rank: 0 (pid: 2307807) of binary: /nlp/scr/tthrush/miniconda3/envs/pretraining-coreset-selection/bin/python
Traceback (most recent call last):
  File "/nlp/scr/tthrush/miniconda3/envs/pretraining-coreset-selection/bin/torchrun", line 8, in <module>
    sys.exit(main())
  File "/nlp/scr/tthrush/miniconda3/envs/pretraining-coreset-selection/lib/python3.10/site-packages/torch/distributed/elastic/multiprocessing/errors/__init__.py", line 347, in wrapper
    return f(*args, **kwargs)
  File "/nlp/scr/tthrush/miniconda3/envs/pretraining-coreset-selection/lib/python3.10/site-packages/torch/distributed/run.py", line 812, in main
    run(args)
  File "/nlp/scr/tthrush/miniconda3/envs/pretraining-coreset-selection/lib/python3.10/site-packages/torch/distributed/run.py", line 803, in run
    elastic_launch(
  File "/nlp/scr/tthrush/miniconda3/envs/pretraining-coreset-selection/lib/python3.10/site-packages/torch/distributed/launcher/api.py", line 135, in __call__
    return launch_agent(self._config, self._entrypoint, list(args))
  File "/nlp/scr/tthrush/miniconda3/envs/pretraining-coreset-selection/lib/python3.10/site-packages/torch/distributed/launcher/api.py", line 268, in launch_agent
    raise ChildFailedError(
torch.distributed.elastic.multiprocessing.errors.ChildFailedError: 
============================================================
train_llm.py FAILED
------------------------------------------------------------
Failures:
[1]:
  time      : 2024-05-08_16:29:52
  host      : sphinx2.stanford.edu
  rank      : 1 (local_rank: 1)
  exitcode  : 1 (pid: 2307808)
  error_file: <N/A>
  traceback : To enable traceback see: https://pytorch.org/docs/stable/elastic/errors.html
------------------------------------------------------------
Root Cause (first observed failure):
[0]:
  time      : 2024-05-08_16:29:52
  host      : sphinx2.stanford.edu
  rank      : 0 (local_rank: 0)
  exitcode  : 1 (pid: 2307807)
  error_file: <N/A>
  traceback : To enable traceback see: https://pytorch.org/docs/stable/elastic/errors.html
============================================================
###############################
end time: 2024-05-08 16:30:01.071965
elapsed time: 0:00:20.026144
slurm submission log: 2024-05-09 07:34:36.661583
created following sbatch script: 

###############################

#!/bin/bash

#SBATCH --account=nlp
#SBATCH --cpus-per-task=16
#SBATCH --gres=gpu:2
#SBATCH --job-name=tthrush-job-782921
#SBATCH --mem=400G
#SBATCH --nodelist=sphinx2
#SBATCH --open-mode=append
#SBATCH --output=/juice5/scr5/tthrush/pretraining-coreset-selection/llm_pretraining/llms/pythia-70m_xnli_en/train_job_output.txt
#SBATCH --partition=sphinx
#SBATCH --time=14-0

# activate your desired anaconda environment
. /nlp/scr/tthrush/miniconda3/etc/profile.d/conda.sh ; conda activate pretraining-coreset-selection

# cd to working directory
cd .

# launch commands
srun --unbuffered run_as_child_processes 'torchrun --master_port 29501 --nproc_per_node=2 train_llm.py --dataset_id /juice5/scr5/tthrush/pretraining-coreset-selection/llm_pretraining/training_data/xnli_en --output_dir /juice5/scr5/tthrush/pretraining-coreset-selection/llm_pretraining/llms/pythia-70m_xnli_en --output_hub_id pythia-70m_xnli_en --model_id EleutherAI/pythia-70m --num_train_epochs 1 --learning_rate 1e-3 --warmup_ratio=0.1 --gradient_accumulation_steps 2'

###############################

submission to slurm complete!


###############################
slurm submission output

Submitted batch job 7591646



###############################

###############################
start time: 2024-05-09 08:56:15.201472
machine: sphinx2
conda env: pretraining-coreset-selection
###############################
running following processes

	torchrun --master_port 29501 --nproc_per_node=2 train_llm.py --dataset_id /juice5/scr5/tthrush/pretraining-coreset-selection/llm_pretraining/training_data/xnli_en --output_dir /juice5/scr5/tthrush/pretraining-coreset-selection/llm_pretraining/llms/pythia-70m_xnli_en --output_hub_id pythia-70m_xnli_en --model_id EleutherAI/pythia-70m --num_train_epochs 1 --learning_rate 1e-3 --warmup_ratio=0.1 --gradient_accumulation_steps 2


###############################
command outputs: 


[2024-05-09 08:56:17,398] torch.distributed.run: [WARNING] 
[2024-05-09 08:56:17,398] torch.distributed.run: [WARNING] *****************************************
[2024-05-09 08:56:17,398] torch.distributed.run: [WARNING] Setting OMP_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed. 
[2024-05-09 08:56:17,398] torch.distributed.run: [WARNING] *****************************************
05/09/2024 08:56:22 - INFO - __main__ - Script parameters ScriptArguments(dataset_id='/juice5/scr5/tthrush/pretraining-coreset-selection/llm_pretraining/training_data/xnli_en', output_dir='/juice5/scr5/tthrush/pretraining-coreset-selection/llm_pretraining/llms/pythia-70m_xnli_en', output_hub_id='pythia-70m_xnli_en', hf_hub_token=True, model_id='EleutherAI/pythia-70m', per_device_train_batch_size=256, num_train_epochs=1, learning_rate=0.001, gradient_accumulation_steps=2, from_scratch=True, warmup_ratio=0.1, adam_beta1=0.9, adam_beta2=0.95, adam_epsilon=1e-08, weight_decay=0.01, lr_scheduler_type='cosine', local_rank=0, resume_from_checkpoint=False, deepspeed=None, peft=False)
05/09/2024 08:56:22 - INFO - __main__ - Script parameters ScriptArguments(dataset_id='/juice5/scr5/tthrush/pretraining-coreset-selection/llm_pretraining/training_data/xnli_en', output_dir='/juice5/scr5/tthrush/pretraining-coreset-selection/llm_pretraining/llms/pythia-70m_xnli_en', output_hub_id='pythia-70m_xnli_en', hf_hub_token=True, model_id='EleutherAI/pythia-70m', per_device_train_batch_size=256, num_train_epochs=1, learning_rate=0.001, gradient_accumulation_steps=2, from_scratch=True, warmup_ratio=0.1, adam_beta1=0.9, adam_beta2=0.95, adam_epsilon=1e-08, weight_decay=0.01, lr_scheduler_type='cosine', local_rank=0, resume_from_checkpoint=False, deepspeed=None, peft=False)

  0%|          | 0/10682 [00:00<?, ?it/s][rank0]:[W reducer.cpp:1360] Warning: find_unused_parameters=True was specified in DDP constructor, but did not find any unused parameters in the forward pass. This flag results in an extra traversal of the autograd graph every iteration,  which can adversely affect performance. If your model indeed never has any unused parameters in the forward pass, consider turning this flag off. Note that this warning may be a false positive if your model has flow control causing later iterations to have unused parameters. (function operator())
[rank1]:[W reducer.cpp:1360] Warning: find_unused_parameters=True was specified in DDP constructor, but did not find any unused parameters in the forward pass. This flag results in an extra traversal of the autograd graph every iteration,  which can adversely affect performance. If your model indeed never has any unused parameters in the forward pass, consider turning this flag off. Note that this warning may be a false positive if your model has flow control causing later iterations to have unused parameters. (function operator())

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{'loss': 10.6455, 'grad_norm': 1.4424535036087036, 'learning_rate': 2.3386342376052384e-05, 'epoch': 0.0}

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                                                    {'loss': 9.9099, 'grad_norm': 1.3746079206466675, 'learning_rate': 4.677268475210477e-05, 'epoch': 0.0}

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{'loss': 9.1975, 'grad_norm': 1.219407558441162, 'learning_rate': 7.015902712815715e-05, 'epoch': 0.01}

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                                                     {'loss': 8.404, 'grad_norm': 0.8748981356620789, 'learning_rate': 9.354536950420954e-05, 'epoch': 0.01}

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{'loss': 7.7511, 'grad_norm': 0.48473629355430603, 'learning_rate': 0.00011693171188026193, 'epoch': 0.01}

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{'loss': 7.2863, 'grad_norm': 0.3605632483959198, 'learning_rate': 0.0001403180542563143, 'epoch': 0.01}

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{'loss': 6.9121, 'grad_norm': 0.49140411615371704, 'learning_rate': 0.00016370439663236668, 'epoch': 0.02}

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                                                     {'loss': 6.5876, 'grad_norm': 0.592690110206604, 'learning_rate': 0.00018709073900841907, 'epoch': 0.02}

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                                                     {'loss': 6.1585, 'grad_norm': 0.5256034731864929, 'learning_rate': 0.00023386342376052386, 'epoch': 0.02}

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                                                     {'loss': 5.8544, 'grad_norm': 0.8135740160942078, 'learning_rate': 0.0002806361085126286, 'epoch': 0.03}

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{'loss': 5.7424, 'grad_norm': 0.5441049933433533, 'learning_rate': 0.00030402245088868103, 'epoch': 0.03}

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{'loss': 5.6237, 'grad_norm': 0.6013274788856506, 'learning_rate': 0.00032740879326473337, 'epoch': 0.03}

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{'loss': 5.5317, 'grad_norm': 0.6739135980606079, 'learning_rate': 0.0003507951356407858, 'epoch': 0.04}

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{'loss': 5.3632, 'grad_norm': 0.6133350729942322, 'learning_rate': 0.0003975678203928906, 'epoch': 0.04}

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                                                     {'loss': 5.1044, 'grad_norm': 0.49570754170417786, 'learning_rate': 0.0004911131898971, 'epoch': 0.05}


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{'loss': 5.0505, 'grad_norm': 0.6064603924751282, 'learning_rate': 0.0005144995322731525, 'epoch': 0.05}

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{'loss': 4.9966, 'grad_norm': 0.5308752655982971, 'learning_rate': 0.0005378858746492049, 'epoch': 0.05}

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{'loss': 4.9539, 'grad_norm': 0.5087977647781372, 'learning_rate': 0.0005612722170252572, 'epoch': 0.06}

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  6%|▌         | 625/10682 [05:12<1:22:57,  2.02it/s]{'loss': 4.9083, 'grad_norm': 0.4086444079875946, 'learning_rate': 0.0005846585594013096, 'epoch': 0.06}
                                                     

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                                                     {'loss': 4.8772, 'grad_norm': 0.5246392488479614, 'learning_rate': 0.0006080449017773621, 'epoch': 0.06}

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{'loss': 4.8335, 'grad_norm': 0.5022659301757812, 'learning_rate': 0.0006314312441534145, 'epoch': 0.06}

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{'loss': 4.7942, 'grad_norm': 0.4384474754333496, 'learning_rate': 0.0006548175865294667, 'epoch': 0.07}

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                                                     {'loss': 4.76, 'grad_norm': 0.4072749614715576, 'learning_rate': 0.0006782039289055192, 'epoch': 0.07}

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                                                     {'loss': 4.7324, 'grad_norm': 0.40202638506889343, 'learning_rate': 0.0007015902712815716, 'epoch': 0.07}

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                                                     {'loss': 4.7114, 'grad_norm': 0.4414190351963043, 'learning_rate': 0.0007249766136576241, 'epoch': 0.07}


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                                                     {'loss': 4.6795, 'grad_norm': 0.38276657462120056, 'learning_rate': 0.0007483629560336763, 'epoch': 0.07}

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{'loss': 4.6546, 'grad_norm': 0.39681366086006165, 'learning_rate': 0.0007717492984097287, 'epoch': 0.08}

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  8%|▊         | 850/10682 [07:04<1:20:55,  2.03it/s]{'loss': 4.6315, 'grad_norm': 0.3435998857021332, 'learning_rate': 0.0007951356407857812, 'epoch': 0.08}

                                                     

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                                                     {'loss': 4.608, 'grad_norm': 0.3533269762992859, 'learning_rate': 0.0008185219831618334, 'epoch': 0.08}

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  8%|▊         | 900/10682 [07:28<1:20:36,  2.02it/s]{'loss': 4.575, 'grad_norm': 0.3632708787918091, 'learning_rate': 0.0008419083255378859, 'epoch': 0.08}
                                                     

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  9%|▊         | 925/10682 [07:41<1:20:25,  2.02it/s]{'loss': 4.5556, 'grad_norm': 0.4181244671344757, 'learning_rate': 0.0008652946679139383, 'epoch': 0.09}
                                                     

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                                                     {'loss': 4.5406, 'grad_norm': 0.35831645131111145, 'learning_rate': 0.0008886810102899908, 'epoch': 0.09}

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                                                     {'loss': 4.5216, 'grad_norm': 0.49966326355934143, 'learning_rate': 0.000912067352666043, 'epoch': 0.09}

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                                                      {'loss': 4.4976, 'grad_norm': 0.34209299087524414, 'learning_rate': 0.0009354536950420954, 'epoch': 0.09}

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                                                      {'loss': 4.4769, 'grad_norm': 0.39491117000579834, 'learning_rate': 0.0009588400374181479, 'epoch': 0.1}

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                                                      {'loss': 4.4347, 'grad_norm': 0.2967454791069031, 'learning_rate': 0.0009999990387768293, 'epoch': 0.1}

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                                                      {'loss': 4.4173, 'grad_norm': 0.3081556260585785, 'learning_rate': 0.0009999743408927195, 'epoch': 0.1}

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                                                      {'loss': 4.4006, 'grad_norm': 0.30092352628707886, 'learning_rate': 0.0009999162690918172, 'epoch': 0.11}

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                                                      {'loss': 4.3878, 'grad_norm': 0.2933543920516968, 'learning_rate': 0.0009998248272504882, 'epoch': 0.11}

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                                                      {'loss': 4.364, 'grad_norm': 0.3504904508590698, 'learning_rate': 0.0009997000214725905, 'epoch': 0.11}

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                                                      {'loss': 4.3447, 'grad_norm': 0.28787732124328613, 'learning_rate': 0.000999541860089067, 'epoch': 0.11}

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                                                      {'loss': 4.324, 'grad_norm': 0.26965752243995667, 'learning_rate': 0.0009993503536573894, 'epoch': 0.11}

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{'loss': 4.3115, 'grad_norm': 0.2730352580547333, 'learning_rate': 0.0009991255149608528, 'epoch': 0.12}

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                                                      {'loss': 4.2884, 'grad_norm': 0.3064367473125458, 'learning_rate': 0.0009988673590077238, 'epoch': 0.12}

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                                                      {'loss': 4.2744, 'grad_norm': 0.2767041027545929, 'learning_rate': 0.0009985759030302366, 'epoch': 0.12}

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{'loss': 4.2447, 'grad_norm': 0.2850426435470581, 'learning_rate': 0.0009982511664834452, 'epoch': 0.12}

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                                                      {'loss': 4.2137, 'grad_norm': 0.26088136434555054, 'learning_rate': 0.00099661988142608, 'epoch': 0.13}

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{'loss': 4.192, 'grad_norm': 0.25914266705513, 'learning_rate': 0.0009961291115580116, 'epoch': 0.14}

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                                                      {'loss': 4.1822, 'grad_norm': 0.2742118537425995, 'learning_rate': 0.0009956052244470509, 'epoch': 0.14}

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{'loss': 4.1578, 'grad_norm': 0.25473901629447937, 'learning_rate': 0.0009944582405852314, 'epoch': 0.14}

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                                                      {'loss': 4.1579, 'grad_norm': 0.2604139745235443, 'learning_rate': 0.0009938352203969901, 'epoch': 0.15}

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{'loss': 4.1332, 'grad_norm': 0.22868552803993225, 'learning_rate': 0.0009931792360859792, 'epoch': 0.15}

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                                                      {'loss': 4.1281, 'grad_norm': 0.22750559449195862, 'learning_rate': 0.0009924903314399776, 'epoch': 0.15}

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{'loss': 4.1216, 'grad_norm': 0.23255616426467896, 'learning_rate': 0.0009917685524442382, 'epoch': 0.15}

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{'loss': 4.1201, 'grad_norm': 0.23797771334648132, 'learning_rate': 0.0009910139472784174, 'epoch': 0.15}

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                                                      {'loss': 4.0968, 'grad_norm': 0.23570162057876587, 'learning_rate': 0.0009902265663133602, 'epoch': 0.16}

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{'loss': 4.0974, 'grad_norm': 0.258076936006546, 'learning_rate': 0.0009894064621077375, 'epoch': 0.16}

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{'loss': 4.0822, 'grad_norm': 0.24651972949504852, 'learning_rate': 0.0009885536894045377, 'epoch': 0.16}

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{'loss': 4.084, 'grad_norm': 0.23005317151546478, 'learning_rate': 0.0009876683051274124, 'epoch': 0.16}

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{'loss': 4.0675, 'grad_norm': 0.23231220245361328, 'learning_rate': 0.0009867503683768772, 'epoch': 0.17}

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                                                      {'loss': 4.0621, 'grad_norm': 0.2477487325668335, 'learning_rate': 0.0009857999404263656, 'epoch': 0.17}

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                                                      {'loss': 4.0523, 'grad_norm': 0.22806823253631592, 'learning_rate': 0.0009848170847181403, 'epoch': 0.17}

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                                                      {'loss': 4.0518, 'grad_norm': 0.23690758645534515, 'learning_rate': 0.0009838018668590573, 'epoch': 0.17}

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                                                      {'loss': 4.0387, 'grad_norm': 0.24031300842761993, 'learning_rate': 0.000982754354616187, 'epoch': 0.18}

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 18%|█▊        | 1900/10682 [15:44<1:12:23,  2.02it/s]{'loss': 4.0361, 'grad_norm': 0.245892733335495, 'learning_rate': 0.0009816746179122904, 'epoch': 0.18}

                                                      

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 18%|█▊        | 1925/10682 [15:56<1:12:09,  2.02it/s]{'loss': 4.0395, 'grad_norm': 0.27785104513168335, 'learning_rate': 0.0009805627288211524, 'epoch': 0.18}
                                                      

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                                                      {'loss': 4.0239, 'grad_norm': 0.22969788312911987, 'learning_rate': 0.0009794187615627694, 'epoch': 0.18}

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                                                      {'loss': 4.0153, 'grad_norm': 0.2290727198123932, 'learning_rate': 0.0009782427924983968, 'epoch': 0.18}

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{'loss': 4.0123, 'grad_norm': 0.24522356688976288, 'learning_rate': 0.00097703490012545, 'epoch': 0.19}

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                                                      {'loss': 4.0058, 'grad_norm': 0.22360606491565704, 'learning_rate': 0.0009757951650722661, 'epoch': 0.19}

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                                                      {'loss': 3.9932, 'grad_norm': 0.2509128749370575, 'learning_rate': 0.0009745236700927205, 'epoch': 0.19}


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                                                      {'loss': 3.9939, 'grad_norm': 0.22175921499729156, 'learning_rate': 0.0009732205000607044, 'epoch': 0.19}

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                                                      {'loss': 3.9997, 'grad_norm': 0.2323102056980133, 'learning_rate': 0.000971885741964458, 'epoch': 0.2}

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{'loss': 3.9843, 'grad_norm': 0.23045814037322998, 'learning_rate': 0.0009705194849007652, 'epoch': 0.2}

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                                                      {'loss': 3.9816, 'grad_norm': 0.22553524374961853, 'learning_rate': 0.0009691218200690053, 'epoch': 0.2}

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                                                      {'loss': 3.9715, 'grad_norm': 0.23152439296245575, 'learning_rate': 0.0009676928407650656, 'epoch': 0.2}

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{'loss': 3.9617, 'grad_norm': 0.22420953214168549, 'learning_rate': 0.0009662326423751136, 'epoch': 0.21}

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{'loss': 3.9604, 'grad_norm': 0.2096802145242691, 'learning_rate': 0.0009632189802949055, 'epoch': 0.21}

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                                                      {'loss': 3.95, 'grad_norm': 0.21961507201194763, 'learning_rate': 0.0009616657177703876, 'epoch': 0.21}

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                                                      {'loss': 3.9381, 'grad_norm': 0.2145131528377533, 'learning_rate': 0.00095846684815675, 'epoch': 0.22}

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                                                      {'loss': 3.948, 'grad_norm': 0.23740708827972412, 'learning_rate': 0.0009568214545962046, 'epoch': 0.22}

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                                                      {'loss': 3.9278, 'grad_norm': 0.20918461680412292, 'learning_rate': 0.0009534392991207893, 'epoch': 0.22}

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{'loss': 3.925, 'grad_norm': 0.23920059204101562, 'learning_rate': 0.0009517027629690559, 'epoch': 0.23}

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                                                      {'loss': 3.9211, 'grad_norm': 0.2277439534664154, 'learning_rate': 0.0009499360750891371, 'epoch': 0.23}

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{'loss': 3.9162, 'grad_norm': 0.22201156616210938, 'learning_rate': 0.0009481393534096735, 'epoch': 0.23}

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{'loss': 3.9082, 'grad_norm': 0.2385728359222412, 'learning_rate': 0.0009444562903826375, 'epoch': 0.24}

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                                                      {'loss': 3.9052, 'grad_norm': 0.21161846816539764, 'learning_rate': 0.0009406545572679153, 'epoch': 0.24}

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                                                      {'loss': 3.9004, 'grad_norm': 0.2144288867712021, 'learning_rate': 0.0009387095054051274, 'epoch': 0.24}

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                                                      {'loss': 3.8988, 'grad_norm': 0.20671650767326355, 'learning_rate': 0.0009367351691304569, 'epoch': 0.25}

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                                                      {'loss': 3.8836, 'grad_norm': 0.21625111997127533, 'learning_rate': 0.0009326991724491712, 'epoch': 0.25}

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{'loss': 3.8754, 'grad_norm': 0.24474552273750305, 'learning_rate': 0.0009306377814504165, 'epoch': 0.25}

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{'loss': 3.8823, 'grad_norm': 0.22120057046413422, 'learning_rate': 0.0009285476448375166, 'epoch': 0.26}

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{'loss': 3.879, 'grad_norm': 0.224813312292099, 'learning_rate': 0.0009264289021297221, 'epoch': 0.26}

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{'loss': 3.8728, 'grad_norm': 0.22511768341064453, 'learning_rate': 0.0009242816947557767, 'epoch': 0.26}

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                                                      {'loss': 3.8769, 'grad_norm': 0.2285950630903244, 'learning_rate': 0.0009221061660444758, 'epoch': 0.26}

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{'loss': 3.871, 'grad_norm': 0.2152385264635086, 'learning_rate': 0.0009199024612151008, 'epoch': 0.26}

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{'loss': 3.855, 'grad_norm': 0.21772050857543945, 'learning_rate': 0.0009154111134733883, 'epoch': 0.27}

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                                                      {'loss': 3.8517, 'grad_norm': 0.22101591527462006, 'learning_rate': 0.0009131237703641679, 'epoch': 0.27}

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                                                      {'loss': 3.8463, 'grad_norm': 0.2101716697216034, 'learning_rate': 0.0009108088507230948, 'epoch': 0.27}

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{'loss': 3.8563, 'grad_norm': 0.21109141409397125, 'learning_rate': 0.0009084665090739699, 'epoch': 0.28}

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                                                      {'loss': 3.8423, 'grad_norm': 0.23600445687770844, 'learning_rate': 0.0009060969017710476, 'epoch': 0.28}

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{'loss': 3.8407, 'grad_norm': 0.20451712608337402, 'learning_rate': 0.0009037001869885992, 'epoch': 0.28}

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                                                      {'loss': 3.839, 'grad_norm': 0.2180054485797882, 'learning_rate': 0.0009012765247103541, 'epoch': 0.28}

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{'loss': 3.8345, 'grad_norm': 0.22654618322849274, 'learning_rate': 0.000898826076718821, 'epoch': 0.29}

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                                                      {'loss': 3.8308, 'grad_norm': 0.2156996876001358, 'learning_rate': 0.0008963490065844889, 'epoch': 0.29}

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{'loss': 3.8223, 'grad_norm': 0.22461163997650146, 'learning_rate': 0.0008938454796549082, 'epoch': 0.29}

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                                                      {'loss': 3.835, 'grad_norm': 0.21871569752693176, 'learning_rate': 0.000891315663043654, 'epoch': 0.29}

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{'loss': 3.8239, 'grad_norm': 0.23142237961292267, 'learning_rate': 0.0008887597256191701, 'epoch': 0.29}

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{'loss': 3.8254, 'grad_norm': 0.21425661444664001, 'learning_rate': 0.0008861778379934982, 'epoch': 0.3}

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                                                      {'loss': 3.8188, 'grad_norm': 0.23162341117858887, 'learning_rate': 0.0008809369032362939, 'epoch': 0.3}

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                                                      {'loss': 3.8063, 'grad_norm': 0.20952120423316956, 'learning_rate': 0.0008782782059437559, 'epoch': 0.3}

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{'loss': 3.8188, 'grad_norm': 0.2260851263999939, 'learning_rate': 0.0008755942581046657, 'epoch': 0.31}

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                                                      {'loss': 3.8112, 'grad_norm': 0.21312695741653442, 'learning_rate': 0.0008728852388759212, 'epoch': 0.31}

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{'loss': 3.7911, 'grad_norm': 0.2163371443748474, 'learning_rate': 0.0008673927112327234, 'epoch': 0.31}

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{'loss': 3.808, 'grad_norm': 0.21559962630271912, 'learning_rate': 0.000864609569451406, 'epoch': 0.32}

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                                                      {'loss': 3.8036, 'grad_norm': 0.24108710885047913, 'learning_rate': 0.0008618020895222331, 'epoch': 0.32}

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                                                    {'loss': 3.7984, 'grad_norm': 0.21551364660263062, 'learning_rate': 0.0008561148664436948, 'epoch': 0.32}

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                                                    {'loss': 3.7926, 'grad_norm': 0.22336013615131378, 'learning_rate': 0.0008532355029236307, 'epoch': 0.33}

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{'loss': 3.7958, 'grad_norm': 0.24032224714756012, 'learning_rate': 0.0008503325604889736, 'epoch': 0.33}

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                                                    {'loss': 3.7896, 'grad_norm': 0.20593179762363434, 'learning_rate': 0.0008444567155371176, 'epoch': 0.33}


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{'loss': 3.7854, 'grad_norm': 0.21083180606365204, 'learning_rate': 0.000841484205239968, 'epoch': 0.33}

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{'loss': 3.7834, 'grad_norm': 0.22244903445243835, 'learning_rate': 0.0008384889004421422, 'epoch': 0.34}

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{'loss': 3.7698, 'grad_norm': 0.22165033221244812, 'learning_rate': 0.0008354710010840066, 'epoch': 0.34}

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{'loss': 3.772, 'grad_norm': 0.20825091004371643, 'learning_rate': 0.0008324307086141438, 'epoch': 0.34}

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{'loss': 3.7821, 'grad_norm': 0.24224376678466797, 'learning_rate': 0.000829368225975904, 'epoch': 0.34}

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{'loss': 3.7656, 'grad_norm': 0.23399458825588226, 'learning_rate': 0.0008262837575938593, 'epoch': 0.35}

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                                                    {'loss': 3.759, 'grad_norm': 0.2176576852798462, 'learning_rate': 0.0008200496886207818, 'epoch': 0.35}

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                                                    {'loss': 3.7594, 'grad_norm': 0.214055135846138, 'learning_rate': 0.0008169005041617021, 'epoch': 0.35}

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                                                    {'loss': 3.7616, 'grad_norm': 0.22836114466190338, 'learning_rate': 0.0008137301661949477, 'epoch': 0.36}

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                                                    {'loss': 3.7514, 'grad_norm': 0.2148829996585846, 'learning_rate': 0.0008073268776325152, 'epoch': 0.36}

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{'loss': 3.761, 'grad_norm': 0.23724041879177094, 'learning_rate': 0.0008040943544644116, 'epoch': 0.36}

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{'loss': 3.7594, 'grad_norm': 0.21401755511760712, 'learning_rate': 0.0007975686292149845, 'epoch': 0.37}

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{'loss': 3.7494, 'grad_norm': 0.19855092465877533, 'learning_rate': 0.0007942758627340383, 'epoch': 0.37}

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                                                    {'loss': 3.7317, 'grad_norm': 0.22916893661022186, 'learning_rate': 0.00079096345296872, 'epoch': 0.37}

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{'loss': 3.7476, 'grad_norm': 0.20621035993099213, 'learning_rate': 0.0007876316210265521, 'epoch': 0.37}

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                                                    {'loss': 3.7443, 'grad_norm': 0.21722398698329926, 'learning_rate': 0.0007842805893115124, 'epoch': 0.38}

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                                                    {'loss': 3.7346, 'grad_norm': 0.21037660539150238, 'learning_rate': 0.0007809105815091867, 'epoch': 0.38}

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                                                    {'loss': 3.7415, 'grad_norm': 0.22081729769706726, 'learning_rate': 0.0007775218225718394, 'epoch': 0.38}

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{'loss': 3.7328, 'grad_norm': 0.20125149190425873, 'learning_rate': 0.0007741145387033967, 'epoch': 0.38}

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{'loss': 3.7346, 'grad_norm': 0.22310566902160645, 'learning_rate': 0.0007706889573443467, 'epoch': 0.39}

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{'loss': 3.7286, 'grad_norm': 0.2267482429742813, 'learning_rate': 0.0007672453071565586, 'epoch': 0.39}

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                                                    {'loss': 3.7224, 'grad_norm': 0.22364476323127747, 'learning_rate': 0.0007637838180080183, 'epoch': 0.39}


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{'loss': 3.7173, 'grad_norm': 0.2119794338941574, 'learning_rate': 0.0007568082482390682, 'epoch': 0.4}

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{'loss': 3.7322, 'grad_norm': 0.215015709400177, 'learning_rate': 0.0007532946332467235, 'epoch': 0.4}

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                                                    {'loss': 3.7252, 'grad_norm': 0.22466950118541718, 'learning_rate': 0.0007497641105186759, 'epoch': 0.4}

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                                                    {'loss': 3.7118, 'grad_norm': 0.22233791649341583, 'learning_rate': 0.0007462169157217631, 'epoch': 0.4}

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{'loss': 3.7233, 'grad_norm': 0.23337708413600922, 'learning_rate': 0.0007426532856357045, 'epoch': 0.4}

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{'loss': 3.717, 'grad_norm': 0.2200741469860077, 'learning_rate': 0.0007354776721845277, 'epoch': 0.41}

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                                                    {'loss': 3.7055, 'grad_norm': 0.21947386860847473, 'learning_rate': 0.0007318661678006427, 'epoch': 0.41}

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{'loss': 3.7067, 'grad_norm': 0.21162539720535278, 'learning_rate': 0.0007282391860581049, 'epoch': 0.41}

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{'loss': 3.7109, 'grad_norm': 0.2142564058303833, 'learning_rate': 0.0007245969690625126, 'epoch': 0.42}

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{'loss': 3.7165, 'grad_norm': 0.21126677095890045, 'learning_rate': 0.0007209397599364363, 'epoch': 0.42}

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{'loss': 3.7165, 'grad_norm': 0.22833353281021118, 'learning_rate': 0.0007172678028031901, 'epoch': 0.42}

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                                                    {'loss': 3.703, 'grad_norm': 0.2018619328737259, 'learning_rate': 0.0007135813427705359, 'epoch': 0.42}


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                                                    {'loss': 3.6994, 'grad_norm': 0.2074848860502243, 'learning_rate': 0.0007098806259143232, 'epoch': 0.43}

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                                                    {'loss': 3.7062, 'grad_norm': 0.2273407280445099, 'learning_rate': 0.0007061658992620613, 'epoch': 0.43}

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                                                    {'loss': 3.6962, 'grad_norm': 0.21178290247917175, 'learning_rate': 0.0007024374107764318, 'epoch': 0.43}

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{'loss': 3.6882, 'grad_norm': 0.21731619536876678, 'learning_rate': 0.0006986954093387361, 'epoch': 0.43}

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                                                    {'loss': 3.6936, 'grad_norm': 0.2135177105665207, 'learning_rate': 0.0006949401447322816, 'epoch': 0.44}

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                                                    {'loss': 3.6888, 'grad_norm': 0.22041434049606323, 'learning_rate': 0.0006911718676257091, 'epoch': 0.44}

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{'loss': 3.6834, 'grad_norm': 0.21361279487609863, 'learning_rate': 0.0006873908295562602, 'epoch': 0.44}

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                                                    {'loss': 3.6932, 'grad_norm': 0.21270470321178436, 'learning_rate': 0.0006835972829129873, 'epoch': 0.44}

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                                                    {'loss': 3.6855, 'grad_norm': 0.2074819952249527, 'learning_rate': 0.000679791480919905, 'epoch': 0.44}

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                                                    {'loss': 3.684, 'grad_norm': 0.20884022116661072, 'learning_rate': 0.000675973677619089, 'epoch': 0.45}

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{'loss': 3.6789, 'grad_norm': 0.21449655294418335, 'learning_rate': 0.0006721441278537161, 'epoch': 0.45}

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                                                    {'loss': 3.6808, 'grad_norm': 0.20731528103351593, 'learning_rate': 0.0006683030872510552, 'epoch': 0.45}

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{'loss': 3.6793, 'grad_norm': 0.23851746320724487, 'learning_rate': 0.0006644508122054031, 'epoch': 0.45}

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{'loss': 3.6808, 'grad_norm': 0.22068080306053162, 'learning_rate': 0.0006605875598609699, 'epoch': 0.46}

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{'loss': 3.6743, 'grad_norm': 0.1998024880886078, 'learning_rate': 0.0006567135880947134, 'epoch': 0.46}

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{'loss': 3.6648, 'grad_norm': 0.21358609199523926, 'learning_rate': 0.0006528291554991272, 'epoch': 0.46}

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{'loss': 3.6725, 'grad_norm': 0.20642732083797455, 'learning_rate': 0.0006489345213649782, 'epoch': 0.46}

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                                                    {'loss': 3.671, 'grad_norm': 0.21576400101184845, 'learning_rate': 0.0006450299456639985, 'epoch': 0.47}

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                                                    {'loss': 3.6586, 'grad_norm': 0.2257671356201172, 'learning_rate': 0.0006411156890315328, 'epoch': 0.47}


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                                                    {'loss': 3.6621, 'grad_norm': 0.24658691883087158, 'learning_rate': 0.0006371920127491398, 'epoch': 0.47}

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{'loss': 3.6624, 'grad_norm': 0.19939540326595306, 'learning_rate': 0.0006332591787271516, 'epoch': 0.47}

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                                                    {'loss': 3.67, 'grad_norm': 0.20286013185977936, 'learning_rate': 0.0006293174494871916, 'epoch': 0.48}

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{'loss': 3.6699, 'grad_norm': 0.22174596786499023, 'learning_rate': 0.0006253670881446494, 'epoch': 0.48}

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                                                    {'loss': 3.6678, 'grad_norm': 0.20572571456432343, 'learning_rate': 0.0006214083583911186, 'epoch': 0.48}

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                                                    {'loss': 3.6506, 'grad_norm': 0.21295888721942902, 'learning_rate': 0.0006174415244767953, 'epoch': 0.48}

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{'loss': 3.6586, 'grad_norm': 0.21263191103935242, 'learning_rate': 0.0006134668511928376, 'epoch': 0.48}

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                                                    {'loss': 3.656, 'grad_norm': 0.22187957167625427, 'learning_rate': 0.0006094846038536922, 'epoch': 0.49}

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                                                    {'loss': 3.6591, 'grad_norm': 0.22069354355335236, 'learning_rate': 0.0006014984507777682, 'epoch': 0.49}

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                                                    {'loss': 3.6421, 'grad_norm': 0.2267315536737442, 'learning_rate': 0.000597495078126763, 'epoch': 0.49}


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{'loss': 3.6486, 'grad_norm': 0.22575420141220093, 'learning_rate': 0.0005894690767316552, 'epoch': 0.5}

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                                                    {'loss': 3.6445, 'grad_norm': 0.2250482439994812, 'learning_rate': 0.0005854469837332512, 'epoch': 0.5}


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                                                    {'loss': 3.6495, 'grad_norm': 0.2105385959148407, 'learning_rate': 0.0005814191870410933, 'epoch': 0.5}

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{'loss': 3.6478, 'grad_norm': 0.24581238627433777, 'learning_rate': 0.0005773859555156823, 'epoch': 0.51}

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                                                    {'loss': 3.6446, 'grad_norm': 0.21360677480697632, 'learning_rate': 0.0005733475583803009, 'epoch': 0.51}

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{'loss': 3.6396, 'grad_norm': 0.20667904615402222, 'learning_rate': 0.0005693042652030427, 'epoch': 0.51}

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{'loss': 3.6361, 'grad_norm': 0.23216423392295837, 'learning_rate': 0.0005652563458788184, 'epoch': 0.51}

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                                                    {'loss': 3.6326, 'grad_norm': 0.22535979747772217, 'learning_rate': 0.0005612040706113396, 'epoch': 0.51}

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{'loss': 3.6341, 'grad_norm': 0.22934262454509735, 'learning_rate': 0.0005571477098950832, 'epoch': 0.52}

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{'loss': 3.636, 'grad_norm': 0.21790602803230286, 'learning_rate': 0.0005530875344972343, 'epoch': 0.52}

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{'loss': 3.6291, 'grad_norm': 0.204182431101799, 'learning_rate': 0.0005490238154396129, 'epoch': 0.52}

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{'loss': 3.6261, 'grad_norm': 0.22237926721572876, 'learning_rate': 0.0005449568239805831, 'epoch': 0.52}

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{'loss': 3.636, 'grad_norm': 0.21509864926338196, 'learning_rate': 0.0005408868315969458, 'epoch': 0.53}

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{'loss': 3.631, 'grad_norm': 0.23221129179000854, 'learning_rate': 0.0005368141099658168, 'epoch': 0.53}

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                                                    {'loss': 3.6278, 'grad_norm': 0.2105764001607895, 'learning_rate': 0.0005327389309464938, 'epoch': 0.53}

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{'loss': 3.633, 'grad_norm': 0.22467437386512756, 'learning_rate': 0.0005286615665623071, 'epoch': 0.53}

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{'loss': 3.6216, 'grad_norm': 0.20903857052326202, 'learning_rate': 0.0005245822889824633, 'epoch': 0.54}

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{'loss': 3.6225, 'grad_norm': 0.23208209872245789, 'learning_rate': 0.0005205013705038776, 'epoch': 0.54}

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{'loss': 3.626, 'grad_norm': 0.23178710043430328, 'learning_rate': 0.0005123357005676156, 'epoch': 0.54}

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                                                    {'loss': 3.6104, 'grad_norm': 0.2157062441110611, 'learning_rate': 0.0005082514941786895, 'epoch': 0.55}

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                                                    {'loss': 3.6109, 'grad_norm': 0.21311868727207184, 'learning_rate': 0.0004959966608954618, 'epoch': 0.55}

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{'loss': 3.6136, 'grad_norm': 0.2052840143442154, 'learning_rate': 0.0004878276536926525, 'epoch': 0.56}

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                                                    {'loss': 3.6026, 'grad_norm': 0.2082618772983551, 'learning_rate': 0.0004837442325565422, 'epoch': 0.56}

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                                                    {'loss': 3.6164, 'grad_norm': 0.23923379182815552, 'learning_rate': 0.00047966189651337725, 'epoch': 0.56}

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{'loss': 3.6089, 'grad_norm': 0.21160094439983368, 'learning_rate': 0.0004755809180642286, 'epoch': 0.56}

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{'loss': 3.6002, 'grad_norm': 0.20977091789245605, 'learning_rate': 0.0004674241234809751, 'epoch': 0.57}

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{'loss': 3.6, 'grad_norm': 0.2348620742559433, 'learning_rate': 0.00045927602667567333, 'epoch': 0.57}

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{'loss': 3.5995, 'grad_norm': 0.2130914032459259, 'learning_rate': 0.00045520591990466365, 'epoch': 0.58}

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{'loss': 3.5961, 'grad_norm': 0.20566979050636292, 'learning_rate': 0.00045113880319490264, 'epoch': 0.58}

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{'loss': 3.6023, 'grad_norm': 0.20339448750019073, 'learning_rate': 0.00044707494803155137, 'epoch': 0.58}

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{'loss': 3.5905, 'grad_norm': 0.21228991448879242, 'learning_rate': 0.00044301462568205915, 'epoch': 0.58}

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                                                    {'loss': 3.5952, 'grad_norm': 0.20691901445388794, 'learning_rate': 0.0004349056632972576, 'epoch': 0.59}

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                                                    {'loss': 3.5891, 'grad_norm': 0.22385141253471375, 'learning_rate': 0.00043085756454539745, 'epoch': 0.59}

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                                                    {'loss': 3.5924, 'grad_norm': 0.22274719178676605, 'learning_rate': 0.0004268140811381641, 'epoch': 0.59}

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                                                    {'loss': 3.5786, 'grad_norm': 0.2227030098438263, 'learning_rate': 0.0004227754829831662, 'epoch': 0.59}

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                                                    {'loss': 3.5879, 'grad_norm': 0.20901256799697876, 'learning_rate': 0.0004187420396619156, 'epoch': 0.6}

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                                                    {'loss': 3.5891, 'grad_norm': 0.21487268805503845, 'learning_rate': 0.0004106916941082745, 'epoch': 0.6}

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                                                    {'loss': 3.589, 'grad_norm': 0.22059279680252075, 'learning_rate': 0.0004066753292465861, 'epoch': 0.6}

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                                                    {'loss': 3.5734, 'grad_norm': 0.20741483569145203, 'learning_rate': 0.00040266519392417936, 'epoch': 0.61}

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                                                    {'loss': 3.5764, 'grad_norm': 0.2249944657087326, 'learning_rate': 0.00039866155582263653, 'epoch': 0.61}

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                                                    {'loss': 3.5785, 'grad_norm': 0.21494601666927338, 'learning_rate': 0.0003946646821898418, 'epoch': 0.61}

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                                                    {'loss': 3.5734, 'grad_norm': 0.20815955102443695, 'learning_rate': 0.0003906748398221429, 'epoch': 0.61}

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                                                    {'loss': 3.5769, 'grad_norm': 0.21666914224624634, 'learning_rate': 0.00038669229504654146, 'epoch': 0.62}

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{'loss': 3.5756, 'grad_norm': 0.2299087792634964, 'learning_rate': 0.00038271731370291583, 'epoch': 0.62}

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                                                    {'loss': 3.5736, 'grad_norm': 0.21249929070472717, 'learning_rate': 0.0003787501611262762, 'epoch': 0.62}

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{'loss': 3.5614, 'grad_norm': 0.21089811623096466, 'learning_rate': 0.0003708404009834161, 'epoch': 0.62}

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{'loss': 3.5713, 'grad_norm': 0.233737513422966, 'learning_rate': 0.0003668983214036445, 'epoch': 0.63}

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                                                    {'loss': 3.5743, 'grad_norm': 0.22250263392925262, 'learning_rate': 0.00036296512652851323, 'epoch': 0.63}

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{'loss': 3.5687, 'grad_norm': 0.21052169799804688, 'learning_rate': 0.00035904107890373196, 'epoch': 0.63}

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{'loss': 3.5544, 'grad_norm': 0.21608522534370422, 'learning_rate': 0.00035512644046442116, 'epoch': 0.63}

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 64%|██████▎   | 6800/10682 [56:12<32:06,  2.01it/s]{'loss': 3.5654, 'grad_norm': 0.21351005136966705, 'learning_rate': 0.00035122147251762554, 'epoch': 0.64}
                                                    

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{'loss': 3.5727, 'grad_norm': 0.2164270430803299, 'learning_rate': 0.00034732643572487243, 'epoch': 0.64}

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{'loss': 3.567, 'grad_norm': 0.21345336735248566, 'learning_rate': 0.000343441590084772, 'epoch': 0.64}

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                                                    {'loss': 3.5644, 'grad_norm': 0.20685313642024994, 'learning_rate': 0.0003395671949156626, 'epoch': 0.64}

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{'loss': 3.5615, 'grad_norm': 0.20892536640167236, 'learning_rate': 0.0003357035088382997, 'epoch': 0.65}

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                                                    {'loss': 3.5614, 'grad_norm': 0.2294788956642151, 'learning_rate': 0.0003318507897585944, 'epoch': 0.65}

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                                                    {'loss': 3.5609, 'grad_norm': 0.20870836079120636, 'learning_rate': 0.0003280092948503962, 'epoch': 0.65}

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{'loss': 3.5586, 'grad_norm': 0.2324298471212387, 'learning_rate': 0.00032417928053832723, 'epoch': 0.65}

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{'loss': 3.5583, 'grad_norm': 0.21012328565120697, 'learning_rate': 0.0003203610024806651, 'epoch': 0.66}

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                                                    {'loss': 3.5509, 'grad_norm': 0.21319830417633057, 'learning_rate': 0.0003165547155522783, 'epoch': 0.66}

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                                                    {'loss': 3.5629, 'grad_norm': 0.2217218577861786, 'learning_rate': 0.0003127606738276115, 'epoch': 0.66}


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{'loss': 3.5496, 'grad_norm': 0.22020173072814941, 'learning_rate': 0.00030521033818340054, 'epoch': 0.66}

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{'loss': 3.5423, 'grad_norm': 0.2191188633441925, 'learning_rate': 0.0003014545482582672, 'epoch': 0.67}

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                                                    {'loss': 3.5455, 'grad_norm': 0.21024025976657867, 'learning_rate': 0.0002977120114920343, 'epoch': 0.67}

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{'loss': 3.5419, 'grad_norm': 0.22821812331676483, 'learning_rate': 0.00029398297770374336, 'epoch': 0.67}

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{'loss': 3.5448, 'grad_norm': 0.22712591290473938, 'learning_rate': 0.0002902676958110948, 'epoch': 0.67}

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                                                    {'loss': 3.5423, 'grad_norm': 0.23677586019039154, 'learning_rate': 0.0002865664138138335, 'epoch': 0.68}

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{'loss': 3.5409, 'grad_norm': 0.21600739657878876, 'learning_rate': 0.0002828793787771929, 'epoch': 0.68}

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                                                      {'loss': 3.5431, 'grad_norm': 0.21060600876808167, 'learning_rate': 0.0002792068368154043, 'epoch': 0.68}

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{'loss': 3.5418, 'grad_norm': 0.22014135122299194, 'learning_rate': 0.0002719062117197888, 'epoch': 0.69}

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                                                      {'loss': 3.5383, 'grad_norm': 0.21172840893268585, 'learning_rate': 0.00026827861591187944, 'epoch': 0.69}


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                                                      {'loss': 3.5421, 'grad_norm': 0.21436895430088043, 'learning_rate': 0.00026466648779812794, 'epoch': 0.69}

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{'loss': 3.5363, 'grad_norm': 0.20625482499599457, 'learning_rate': 0.0002610700684926339, 'epoch': 0.69}

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{'loss': 3.5315, 'grad_norm': 0.21648123860359192, 'learning_rate': 0.00025748959806091423, 'epoch': 0.7}

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{'loss': 3.5376, 'grad_norm': 0.20996341109275818, 'learning_rate': 0.00025392531550387867, 'epoch': 0.7}

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                                                      {'loss': 3.5206, 'grad_norm': 0.20982855558395386, 'learning_rate': 0.00024684626459881156, 'epoch': 0.7}

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{'loss': 3.5274, 'grad_norm': 0.22020606696605682, 'learning_rate': 0.00023983480588813622, 'epoch': 0.71}

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{'loss': 3.5305, 'grad_norm': 0.21882648766040802, 'learning_rate': 0.00023635500934422239, 'epoch': 0.71}

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                                                      {'loss': 3.5345, 'grad_norm': 0.2086981236934662, 'learning_rate': 0.00023289281143540065, 'epoch': 0.71}

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{'loss': 3.5285, 'grad_norm': 0.2311440259218216, 'learning_rate': 0.00022944844326774121, 'epoch': 0.71}

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{'loss': 3.5284, 'grad_norm': 0.2283918708562851, 'learning_rate': 0.0002226141146140523, 'epoch': 0.72}

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{'loss': 3.5271, 'grad_norm': 0.21516387164592743, 'learning_rate': 0.00021922461032806601, 'epoch': 0.72}

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{'loss': 3.5264, 'grad_norm': 0.22166948020458221, 'learning_rate': 0.0002158538481528759, 'epoch': 0.72}

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                                                      {'loss': 3.5228, 'grad_norm': 0.2119213193655014, 'learning_rate': 0.00021250205309110155, 'epoch': 0.73}

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                                                      {'loss': 3.5274, 'grad_norm': 0.21183452010154724, 'learning_rate': 0.00020585625797294927, 'epoch': 0.73}

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{'loss': 3.5194, 'grad_norm': 0.20869314670562744, 'learning_rate': 0.00020256270153176371, 'epoch': 0.73}

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{'loss': 3.5221, 'grad_norm': 0.21534360945224762, 'learning_rate': 0.00019928899940476624, 'epoch': 0.73}

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                                                      {'loss': 3.514, 'grad_norm': 0.22876937687397003, 'learning_rate': 0.00019603537011569566, 'epoch': 0.74}

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                                                      {'loss': 3.5111, 'grad_norm': 0.21304725110530853, 'learning_rate': 0.0001928020308484042, 'epoch': 0.74}

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                                                      {'loss': 3.5248, 'grad_norm': 0.2131563276052475, 'learning_rate': 0.00018958919743235897, 'epoch': 0.74}

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{'loss': 3.5146, 'grad_norm': 0.21840904653072357, 'learning_rate': 0.0001863970843282357, 'epoch': 0.74}

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                                                      {'loss': 3.5234, 'grad_norm': 0.2143983691930771, 'learning_rate': 0.00018322590461360383, 'epoch': 0.75}

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                                                      {'loss': 3.5048, 'grad_norm': 0.20866116881370544, 'learning_rate': 0.00017694719066230924, 'epoch': 0.75}

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                                                      {'loss': 3.5146, 'grad_norm': 0.21625861525535583, 'learning_rate': 0.00017384007553770858, 'epoch': 0.75}

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                                                      {'loss': 3.5201, 'grad_norm': 0.21779409050941467, 'learning_rate': 0.00017075473199874692, 'epoch': 0.76}

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                                                      {'loss': 3.5105, 'grad_norm': 0.21439413726329803, 'learning_rate': 0.00016769136599599017, 'epoch': 0.76}

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{'loss': 3.5087, 'grad_norm': 0.21440158784389496, 'learning_rate': 0.0001646501820129766, 'epoch': 0.76}

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{'loss': 3.5064, 'grad_norm': 0.21686911582946777, 'learning_rate': 0.00016163138305256598, 'epoch': 0.76}

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{'loss': 3.5103, 'grad_norm': 0.230742409825325, 'learning_rate': 0.00015863517062339038, 'epoch': 0.77}

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{'loss': 3.5152, 'grad_norm': 0.21747897565364838, 'learning_rate': 0.00015566174472640188, 'epoch': 0.77}

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{'loss': 3.501, 'grad_norm': 0.21097609400749207, 'learning_rate': 0.0001527113038415231, 'epoch': 0.77}

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                                                      {'loss': 3.5074, 'grad_norm': 0.2203550785779953, 'learning_rate': 0.00014978404491439802, 'epoch': 0.77}

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                                                      {'loss': 3.5045, 'grad_norm': 0.2109072506427765, 'learning_rate': 0.00014688016334324605, 'epoch': 0.77}

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                                                      {'loss': 3.4998, 'grad_norm': 0.21387390792369843, 'learning_rate': 0.00014399985296581835, 'epoch': 0.78}

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{'loss': 3.5022, 'grad_norm': 0.21496039628982544, 'learning_rate': 0.00014114330604645943, 'epoch': 0.78}

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{'loss': 3.4962, 'grad_norm': 0.2129000425338745, 'learning_rate': 0.00013831071326327282, 'epoch': 0.78}

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{'loss': 3.5051, 'grad_norm': 0.22377662360668182, 'learning_rate': 0.0001355022636953933, 'epoch': 0.78}

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{'loss': 3.5013, 'grad_norm': 0.20843946933746338, 'learning_rate': 0.0001327181448103661, 'epoch': 0.79}

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{'loss': 3.4977, 'grad_norm': 0.21924537420272827, 'learning_rate': 0.00012995854245163207, 'epoch': 0.79}

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{'loss': 3.4917, 'grad_norm': 0.21338072419166565, 'learning_rate': 0.0001272236408261237, 'epoch': 0.79}

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                                                      {'loss': 3.5032, 'grad_norm': 0.20299556851387024, 'learning_rate': 0.00012182866834630096, 'epoch': 0.8}

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                                                      {'loss': 3.5009, 'grad_norm': 0.21641488373279572, 'learning_rate': 0.00011916895761319264, 'epoch': 0.8}

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{'loss': 3.498, 'grad_norm': 0.2090798318386078, 'learning_rate': 0.0001165346678316832, 'epoch': 0.8}

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                                                      {'loss': 3.5079, 'grad_norm': 0.2097286731004715, 'learning_rate': 0.00011392597484393285, 'epoch': 0.8}

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                                                      {'loss': 3.4937, 'grad_norm': 0.21767927706241608, 'learning_rate': 0.00011134305278348312, 'epoch': 0.81}

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{'loss': 3.493, 'grad_norm': 0.21126505732536316, 'learning_rate': 0.00010878607406363367, 'epoch': 0.81}

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{'loss': 3.4886, 'grad_norm': 0.21773450076580048, 'learning_rate': 0.00010625520936593375, 'epoch': 0.81}

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                                                      {'loss': 3.4912, 'grad_norm': 0.20976011455059052, 'learning_rate': 0.0001012724960361826, 'epoch': 0.81}

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{'loss': 3.4889, 'grad_norm': 0.2054540514945984, 'learning_rate': 9.882098000652034e-05, 'epoch': 0.82}

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                                                      {'loss': 3.4869, 'grad_norm': 0.20930884778499603, 'learning_rate': 9.639624318158335e-05, 'epoch': 0.82}

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{'loss': 3.4984, 'grad_norm': 0.20856106281280518, 'learning_rate': 9.399844741560781e-05, 'epoch': 0.82}

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{'loss': 3.4953, 'grad_norm': 0.21825776994228363, 'learning_rate': 9.162775276448015e-05, 'epoch': 0.82}

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{'loss': 3.5001, 'grad_norm': 0.21153561770915985, 'learning_rate': 8.928431747505355e-05, 'epoch': 0.83}

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{'loss': 3.4824, 'grad_norm': 0.2105167657136917, 'learning_rate': 8.6968297974584e-05, 'epoch': 0.83}

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                                                      {'loss': 3.487, 'grad_norm': 0.21707578003406525, 'learning_rate': 8.24191228890303e-05, 'epoch': 0.83}

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{'loss': 3.4849, 'grad_norm': 0.21249543130397797, 'learning_rate': 8.018627096711106e-05, 'epoch': 0.84}

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{'loss': 3.4823, 'grad_norm': 0.20861642062664032, 'learning_rate': 7.58047835834249e-05, 'epoch': 0.84}

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                                                      {'loss': 3.4899, 'grad_norm': 0.20755641162395477, 'learning_rate': 7.153655656890773e-05, 'epoch': 0.84}

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                                                      {'loss': 3.4911, 'grad_norm': 0.20573696494102478, 'learning_rate': 6.94452730207023e-05, 'epoch': 0.85}


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{'loss': 3.4822, 'grad_norm': 0.2115035355091095, 'learning_rate': 6.534906381212979e-05, 'epoch': 0.85}

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                                                      {'loss': 3.4748, 'grad_norm': 0.20754121243953705, 'learning_rate': 6.334441157888504e-05, 'epoch': 0.85}

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{'loss': 3.4885, 'grad_norm': 0.2068898230791092, 'learning_rate': 6.1368906655978e-05, 'epoch': 0.86}

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                                                      {'loss': 3.4735, 'grad_norm': 0.2071315348148346, 'learning_rate': 5.94226809108499e-05, 'epoch': 0.86}

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{'loss': 3.4835, 'grad_norm': 0.20511165261268616, 'learning_rate': 5.7505864256519716e-05, 'epoch': 0.86}

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                                                      {'loss': 3.4835, 'grad_norm': 0.20729616284370422, 'learning_rate': 5.3760968048319145e-05, 'epoch': 0.87}


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                                                      {'loss': 3.4798, 'grad_norm': 0.21287114918231964, 'learning_rate': 5.193313847098613e-05, 'epoch': 0.87}

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                                                      {'loss': 3.4858, 'grad_norm': 0.2101423740386963, 'learning_rate': 5.0135217920839137e-05, 'epoch': 0.87}

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{'loss': 3.4763, 'grad_norm': 0.21258412301540375, 'learning_rate': 4.836732641133895e-05, 'epoch': 0.87}

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                                                      {'loss': 3.4807, 'grad_norm': 0.20961955189704895, 'learning_rate': 4.662958195146971e-05, 'epoch': 0.88}

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                                                      {'loss': 3.4767, 'grad_norm': 0.20588424801826477, 'learning_rate': 4.492210053786228e-05, 'epoch': 0.88}

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{'loss': 3.4882, 'grad_norm': 0.21033425629138947, 'learning_rate': 4.3244996147050855e-05, 'epoch': 0.88}

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{'loss': 3.4775, 'grad_norm': 0.20683617889881134, 'learning_rate': 4.1598380727865315e-05, 'epoch': 0.88}

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{'loss': 3.4798, 'grad_norm': 0.20610347390174866, 'learning_rate': 3.998236419395806e-05, 'epoch': 0.88}

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{'loss': 3.4819, 'grad_norm': 0.20961861312389374, 'learning_rate': 3.839705441646779e-05, 'epoch': 0.89}

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{'loss': 3.4791, 'grad_norm': 0.2083737701177597, 'learning_rate': 3.6842557216818006e-05, 'epoch': 0.89}

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{'loss': 3.4683, 'grad_norm': 0.20674076676368713, 'learning_rate': 3.382641354591731e-05, 'epoch': 0.89}

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{'loss': 3.4804, 'grad_norm': 0.2084905058145523, 'learning_rate': 3.2364968406054075e-05, 'epoch': 0.9}

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                                                      {'loss': 3.4723, 'grad_norm': 0.2067408263683319, 'learning_rate': 3.093473849336781e-05, 'epoch': 0.9}

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{'loss': 3.478, 'grad_norm': 0.20876753330230713, 'learning_rate': 2.9535819277506203e-05, 'epoch': 0.9}

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{'loss': 3.4745, 'grad_norm': 0.2035069763660431, 'learning_rate': 2.8168304138088295e-05, 'epoch': 0.9}

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                                                      {'loss': 3.4772, 'grad_norm': 0.20708398520946503, 'learning_rate': 2.5527849119658387e-05, 'epoch': 0.91}

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{'loss': 3.4723, 'grad_norm': 0.20831887423992157, 'learning_rate': 2.4255085494343522e-05, 'epoch': 0.91}

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{'loss': 3.4855, 'grad_norm': 0.20622465014457703, 'learning_rate': 2.1804910798715826e-05, 'epoch': 0.92}

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{'loss': 3.4709, 'grad_norm': 0.20450802147388458, 'learning_rate': 2.0627663280649135e-05, 'epoch': 0.92}

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                                                      {'loss': 3.4754, 'grad_norm': 0.20718927681446075, 'learning_rate': 1.8369240812535104e-05, 'epoch': 0.92}

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                                                      {'loss': 3.483, 'grad_norm': 0.20604252815246582, 'learning_rate': 1.7288216615031272e-05, 'epoch': 0.92}

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{'loss': 3.469, 'grad_norm': 0.20588119328022003, 'learning_rate': 1.6239414036870183e-05, 'epoch': 0.93}

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{'loss': 3.4799, 'grad_norm': 0.20140889286994934, 'learning_rate': 1.5222903086944684e-05, 'epoch': 0.93}

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{'loss': 3.4752, 'grad_norm': 0.20527400076389313, 'learning_rate': 1.4238751618640577e-05, 'epoch': 0.93}

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                                                      {'loss': 3.4769, 'grad_norm': 0.20489445328712463, 'learning_rate': 1.3287025325307511e-05, 'epoch': 0.93}

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                                                       {'loss': 3.4739, 'grad_norm': 0.20586608350276947, 'learning_rate': 1.2367787735873993e-05, 'epoch': 0.94}

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                                                       {'loss': 3.4772, 'grad_norm': 0.21008850634098053, 'learning_rate': 1.1481100210606388e-05, 'epoch': 0.94}

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{'loss': 3.4796, 'grad_norm': 0.20309117436408997, 'learning_rate': 1.0627021937013704e-05, 'epoch': 0.94}

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                                                       {'loss': 3.4705, 'grad_norm': 0.20269355177879333, 'learning_rate': 9.805609925895964e-06, 'epoch': 0.94}

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{'loss': 3.471, 'grad_norm': 0.20443768799304962, 'learning_rate': 9.01691900753926e-06, 'epoch': 0.95}

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{'loss': 3.4764, 'grad_norm': 0.20092560350894928, 'learning_rate': 8.261001828055447e-06, 'epoch': 0.95}

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{'loss': 3.4757, 'grad_norm': 0.20125077664852142, 'learning_rate': 7.537908845868024e-06, 'epoch': 0.95}

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                                                       {'loss': 3.4751, 'grad_norm': 0.20655588805675507, 'learning_rate': 6.847688328344037e-06, 'epoch': 0.95}

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                                                       {'loss': 3.4653, 'grad_norm': 0.20428748428821564, 'learning_rate': 6.190386348572108e-06, 'epoch': 0.95}

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{'loss': 3.4736, 'grad_norm': 0.20277798175811768, 'learning_rate': 5.56604678228706e-06, 'epoch': 0.96}

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{'loss': 3.472, 'grad_norm': 0.20402891933918, 'learning_rate': 4.974711304941093e-06, 'epoch': 0.96}

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                                                       {'loss': 3.4771, 'grad_norm': 0.20460061728954315, 'learning_rate': 4.416419388921844e-06, 'epoch': 0.96}

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{'loss': 3.4691, 'grad_norm': 0.2020510882139206, 'learning_rate': 3.891208300917604e-06, 'epoch': 0.96}

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{'loss': 3.4773, 'grad_norm': 0.20374011993408203, 'learning_rate': 3.3991130994299734e-06, 'epoch': 0.97}

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{'loss': 3.4691, 'grad_norm': 0.2033492475748062, 'learning_rate': 2.1218402281655835e-06, 'epoch': 0.97}

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                                                       {'loss': 3.4744, 'grad_norm': 0.20655174553394318, 'learning_rate': 1.7625149152127318e-06, 'epoch': 0.98}

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{'loss': 3.4723, 'grad_norm': 0.20496386289596558, 'learning_rate': 1.4364475817401635e-06, 'epoch': 0.98}

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                                                       {'loss': 3.4705, 'grad_norm': 0.20383375883102417, 'learning_rate': 1.143659993153079e-06, 'epoch': 0.98}

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{'loss': 3.4693, 'grad_norm': 0.20356345176696777, 'learning_rate': 8.841716933915555e-07, 'epoch': 0.98}

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                                                       {'loss': 3.4706, 'grad_norm': 0.20340774953365326, 'learning_rate': 6.580000036264244e-07, 'epoch': 0.99}

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{'loss': 3.4801, 'grad_norm': 0.20343604683876038, 'learning_rate': 4.651600211027507e-07, 'epoch': 0.99}

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{'loss': 3.4712, 'grad_norm': 0.20351971685886383, 'learning_rate': 3.0566461813213986e-07, 'epoch': 0.99}

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{'loss': 3.4688, 'grad_norm': 0.2017984688282013, 'learning_rate': 8.674791042273533e-08, 'epoch': 0.99}

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{'loss': 3.4739, 'grad_norm': 0.20332206785678864, 'learning_rate': 2.7341218649834522e-08, 'epoch': 1.0}

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                                                       {'loss': 3.481, 'grad_norm': 0.20536629855632782, 'learning_rate': 1.3083313863404555e-09, 'epoch': 1.0}

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{'train_runtime': 5307.0068, 'train_samples_per_second': 2061.085, 'train_steps_per_second': 2.013, 'train_loss': 3.8789450151378846, 'epoch': 1.0}

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Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.