slurm submission log: 2024-05-29 11:13:54.781148
created following sbatch script: 

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

#!/bin/bash

#SBATCH --account=nlp
#SBATCH --cpus-per-task=16
#SBATCH --dependency=afterok:7667692
#SBATCH --gres=gpu:2
#SBATCH --job-name=tthrush-job-576150
#SBATCH --mem=100G
#SBATCH --nodelist=sphinx2
#SBATCH --open-mode=append
#SBATCH --output=/juice5/scr5/tthrush/pretraining-coreset-selection/llm_pretraining/paper_writeup_tests/ordinal_constrained/llms/pythia-70m_sciq_1/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 29527 --nproc_per_node=2 train_llm.py --dataset_id /juice5/scr5/tthrush/pretraining-coreset-selection/llm_pretraining/paper_writeup_tests/ordinal_constrained/data/sciq --output_dir /juice5/scr5/tthrush/pretraining-coreset-selection/llm_pretraining/paper_writeup_tests/ordinal_constrained/llms/pythia-70m_sciq_1 --output_hub_id pythia-70m_sciq --model_id EleutherAI/pythia-70m --learning_rate 1e-3 --warmup_ratio=0.1 --gradient_accumulation_steps 2 --per_device_train_batch_size 256 --seed 1 --num_train_epochs 14'

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

submission to slurm complete!


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

Submitted batch job 7667693



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

slurm submission log: 2024-05-30 08:40:48.206470
created following sbatch script: 

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

#!/bin/bash

#SBATCH --account=nlp
#SBATCH --cpus-per-task=16
#SBATCH --gres=gpu:2
#SBATCH --job-name=tthrush-job-1210832
#SBATCH --mem=100G
#SBATCH --nodelist=sphinx2
#SBATCH --open-mode=append
#SBATCH --output=/juice5/scr5/tthrush/pretraining-coreset-selection/llm_pretraining/paper_writeup_tests/ordinal_constrained/llms/pythia-70m_sciq_1/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 29509 --nproc_per_node=2 train_llm.py --dataset_id /juice5/scr5/tthrush/pretraining-coreset-selection/llm_pretraining/paper_writeup_tests/ordinal_constrained/data/sciq --output_dir /juice5/scr5/tthrush/pretraining-coreset-selection/llm_pretraining/paper_writeup_tests/ordinal_constrained/llms/pythia-70m_sciq_1 --output_hub_id pythia-70m_sciq --model_id EleutherAI/pythia-70m --learning_rate 1e-3 --warmup_ratio=0.1 --gradient_accumulation_steps 2 --per_device_train_batch_size 256 --seed 1 --num_train_epochs 1'

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

submission to slurm complete!


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

Submitted batch job 7670603



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

###############################
start time: 2024-05-30 17:01:50.295664
machine: sphinx2
conda env: pretraining-coreset-selection
###############################
running following processes

	torchrun --master_port 29509 --nproc_per_node=2 train_llm.py --dataset_id /juice5/scr5/tthrush/pretraining-coreset-selection/llm_pretraining/paper_writeup_tests/ordinal_constrained/data/sciq --output_dir /juice5/scr5/tthrush/pretraining-coreset-selection/llm_pretraining/paper_writeup_tests/ordinal_constrained/llms/pythia-70m_sciq_1 --output_hub_id pythia-70m_sciq --model_id EleutherAI/pythia-70m --learning_rate 1e-3 --warmup_ratio=0.1 --gradient_accumulation_steps 2 --per_device_train_batch_size 256 --seed 1 --num_train_epochs 1


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


[2024-05-30 17:02:02,180] torch.distributed.run: [WARNING] 
[2024-05-30 17:02:02,180] torch.distributed.run: [WARNING] *****************************************
[2024-05-30 17:02:02,180] 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. 
[2024-05-30 17:02:02,180] torch.distributed.run: [WARNING] *****************************************
05/30/2024 17:02:12 - INFO - __main__ - Script parameters ScriptArguments(seed=1, dataset_id='/juice5/scr5/tthrush/pretraining-coreset-selection/llm_pretraining/paper_writeup_tests/ordinal_constrained/data/sciq', output_dir='/juice5/scr5/tthrush/pretraining-coreset-selection/llm_pretraining/paper_writeup_tests/ordinal_constrained/llms/pythia-70m_sciq_1', output_hub_id='pythia-70m_sciq', hf_hub_token=True, model_id='EleutherAI/pythia-70m', per_device_train_batch_size=256, num_train_epochs=1.0, 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)
05/30/2024 17:02:16 - INFO - __main__ - Script parameters ScriptArguments(seed=1, dataset_id='/juice5/scr5/tthrush/pretraining-coreset-selection/llm_pretraining/paper_writeup_tests/ordinal_constrained/data/sciq', output_dir='/juice5/scr5/tthrush/pretraining-coreset-selection/llm_pretraining/paper_writeup_tests/ordinal_constrained/llms/pythia-70m_sciq_1', output_hub_id='pythia-70m_sciq', hf_hub_token=True, model_id='EleutherAI/pythia-70m', per_device_train_batch_size=256, num_train_epochs=1.0, 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)
/nlp/scr/tthrush/miniconda3/envs/pretraining-coreset-selection/lib/python3.10/site-packages/huggingface_hub/file_download.py:1132: FutureWarning: `resume_download` is deprecated and will be removed in version 1.0.0. Downloads always resume when possible. If you want to force a new download, use `force_download=True`.
  warnings.warn(
/nlp/scr/tthrush/miniconda3/envs/pretraining-coreset-selection/lib/python3.10/site-packages/huggingface_hub/file_download.py:1132: FutureWarning: `resume_download` is deprecated and will be removed in version 1.0.0. Downloads always resume when possible. If you want to force a new download, use `force_download=True`.
  warnings.warn(

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[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': 10.6708, 'grad_norm': 1.3508936166763306, 'learning_rate': 2.332089552238806e-05, 'epoch': 0.0}

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{'loss': 9.9615, 'grad_norm': 1.2398110628128052, 'learning_rate': 4.664179104477612e-05, 'epoch': 0.0}

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{'loss': 9.247, 'grad_norm': 1.0465823411941528, 'learning_rate': 6.996268656716417e-05, 'epoch': 0.01}

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{'loss': 8.4695, 'grad_norm': 0.7252491116523743, 'learning_rate': 9.328358208955224e-05, 'epoch': 0.01}

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{'loss': 7.8401, 'grad_norm': 0.5084643959999084, 'learning_rate': 0.00011660447761194031, 'epoch': 0.01}

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{'loss': 7.3595, 'grad_norm': 0.5986962914466858, 'learning_rate': 0.00013992537313432834, 'epoch': 0.01}

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{'loss': 6.9607, 'grad_norm': 0.43604159355163574, 'learning_rate': 0.00016324626865671642, 'epoch': 0.02}

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{'loss': 6.6114, 'grad_norm': 0.4984830617904663, 'learning_rate': 0.00018656716417910448, 'epoch': 0.02}

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{'loss': 5.6823, 'grad_norm': 0.6385958790779114, 'learning_rate': 0.00030317164179104476, 'epoch': 0.03}

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{'loss': 5.5747, 'grad_norm': 0.6143077611923218, 'learning_rate': 0.00032649253731343285, 'epoch': 0.03}

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{'loss': 5.4673, 'grad_norm': 0.7650297284126282, 'learning_rate': 0.0003498134328358209, 'epoch': 0.04}

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{'loss': 5.3833, 'grad_norm': 0.7686659693717957, 'learning_rate': 0.00037313432835820896, 'epoch': 0.04}

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{'loss': 5.3003, 'grad_norm': 0.7100217938423157, 'learning_rate': 0.00039645522388059704, 'epoch': 0.04}

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{'loss': 5.2235, 'grad_norm': 0.5116666555404663, 'learning_rate': 0.0004197761194029851, 'epoch': 0.04}

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{'loss': 5.1547, 'grad_norm': 0.7779058218002319, 'learning_rate': 0.00044309701492537316, 'epoch': 0.04}

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{'loss': 5.1041, 'grad_norm': 0.4948614835739136, 'learning_rate': 0.00046641791044776124, 'epoch': 0.05}

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{'loss': 5.0328, 'grad_norm': 0.5664975047111511, 'learning_rate': 0.0004897388059701492, 'epoch': 0.05}

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{'loss': 4.9872, 'grad_norm': 0.5588817000389099, 'learning_rate': 0.0005130597014925373, 'epoch': 0.05}

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{'loss': 4.9245, 'grad_norm': 0.5158994197845459, 'learning_rate': 0.0005363805970149254, 'epoch': 0.05}

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{'loss': 4.8813, 'grad_norm': 0.4701613783836365, 'learning_rate': 0.0005597014925373134, 'epoch': 0.06}

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{'loss': 4.844, 'grad_norm': 0.4608963429927826, 'learning_rate': 0.0005830223880597015, 'epoch': 0.06}

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{'loss': 4.8067, 'grad_norm': 0.4840026795864105, 'learning_rate': 0.0006063432835820895, 'epoch': 0.06}

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{'loss': 4.7536, 'grad_norm': 0.48364609479904175, 'learning_rate': 0.0006296641791044776, 'epoch': 0.06}

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{'loss': 4.7199, 'grad_norm': 0.5422926545143127, 'learning_rate': 0.0006529850746268657, 'epoch': 0.07}

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{'loss': 4.6863, 'grad_norm': 0.4202679693698883, 'learning_rate': 0.0006763059701492538, 'epoch': 0.07}

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{'loss': 4.6583, 'grad_norm': 0.40775540471076965, 'learning_rate': 0.0006996268656716418, 'epoch': 0.07}

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{'loss': 4.6264, 'grad_norm': 0.5143840909004211, 'learning_rate': 0.0007229477611940298, 'epoch': 0.07}

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{'loss': 4.6009, 'grad_norm': 0.45788809657096863, 'learning_rate': 0.0007462686567164179, 'epoch': 0.07}

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{'loss': 4.5768, 'grad_norm': 0.4435502886772156, 'learning_rate': 0.000769589552238806, 'epoch': 0.08}

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{'loss': 4.5557, 'grad_norm': 0.39528778195381165, 'learning_rate': 0.0007929104477611941, 'epoch': 0.08}

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{'loss': 4.5142, 'grad_norm': 0.3937130868434906, 'learning_rate': 0.0008162313432835821, 'epoch': 0.08}

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{'loss': 4.5045, 'grad_norm': 0.33622032403945923, 'learning_rate': 0.0008395522388059703, 'epoch': 0.08}

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{'loss': 4.4815, 'grad_norm': 0.44009268283843994, 'learning_rate': 0.0008628731343283582, 'epoch': 0.09}

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{'loss': 4.4579, 'grad_norm': 0.4196379780769348, 'learning_rate': 0.0008861940298507463, 'epoch': 0.09}

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{'loss': 4.4345, 'grad_norm': 0.33996543288230896, 'learning_rate': 0.0009095149253731343, 'epoch': 0.09}

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{'loss': 4.4106, 'grad_norm': 0.3299412727355957, 'learning_rate': 0.0009328358208955225, 'epoch': 0.09}

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{'loss': 4.3899, 'grad_norm': 0.2985093891620636, 'learning_rate': 0.0009561567164179105, 'epoch': 0.1}

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{'loss': 4.3641, 'grad_norm': 0.3151492476463318, 'learning_rate': 0.0009794776119402984, 'epoch': 0.1}

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{'loss': 4.3495, 'grad_norm': 0.29077503085136414, 'learning_rate': 0.0009999997610383759, 'epoch': 0.1}

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{'loss': 4.3269, 'grad_norm': 0.3402572274208069, 'learning_rate': 0.0009999791839302003, 'epoch': 0.1}

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{'loss': 4.3029, 'grad_norm': 0.2913026511669159, 'learning_rate': 0.0009999254192702488, 'epoch': 0.11}

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{'loss': 4.2985, 'grad_norm': 0.28201302886009216, 'learning_rate': 0.0009998384706273048, 'epoch': 0.11}

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{'loss': 4.2646, 'grad_norm': 0.296771764755249, 'learning_rate': 0.000999718343772834, 'epoch': 0.11}

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{'loss': 4.2618, 'grad_norm': 0.2907028794288635, 'learning_rate': 0.0009995650466806004, 'epoch': 0.11}

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{'loss': 4.2315, 'grad_norm': 0.2973252832889557, 'learning_rate': 0.0009993785895261384, 'epoch': 0.11}

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{'loss': 4.2147, 'grad_norm': 0.28155672550201416, 'learning_rate': 0.000999158984686076, 'epoch': 0.12}

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{'loss': 4.2039, 'grad_norm': 0.2975374460220337, 'learning_rate': 0.000998906246737314, 'epoch': 0.12}

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{'loss': 4.1851, 'grad_norm': 0.2924203872680664, 'learning_rate': 0.0009986203924560587, 'epoch': 0.12}

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{'loss': 4.1737, 'grad_norm': 0.2687811255455017, 'learning_rate': 0.0009983014408167072, 'epoch': 0.12}

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{'loss': 4.1625, 'grad_norm': 0.26470980048179626, 'learning_rate': 0.0009979494129905891, 'epoch': 0.13}

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{'loss': 4.1352, 'grad_norm': 0.2704237997531891, 'learning_rate': 0.0009975643323445608, 'epoch': 0.13}

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{'loss': 4.1355, 'grad_norm': 0.2763811945915222, 'learning_rate': 0.0009971462244394538, 'epoch': 0.13}

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{'loss': 4.1235, 'grad_norm': 0.3057197034358978, 'learning_rate': 0.0009966951170283793, 'epoch': 0.13}

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{'loss': 4.111, 'grad_norm': 0.25989457964897156, 'learning_rate': 0.000996211040054885, 'epoch': 0.14}

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{'loss': 4.0903, 'grad_norm': 0.29621046781539917, 'learning_rate': 0.0009956940256509682, 'epoch': 0.14}

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{'loss': 4.0869, 'grad_norm': 0.24213139712810516, 'learning_rate': 0.0009951441081349414, 'epoch': 0.14}

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{'loss': 4.0841, 'grad_norm': 0.2603490948677063, 'learning_rate': 0.0009945613240091573, 'epoch': 0.14}

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{'loss': 4.0752, 'grad_norm': 0.2448177933692932, 'learning_rate': 0.0009939457119575823, 'epoch': 0.14}

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{'loss': 4.0588, 'grad_norm': 0.2523896098136902, 'learning_rate': 0.000993297312843232, 'epoch': 0.15}

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{'loss': 4.0541, 'grad_norm': 0.25232839584350586, 'learning_rate': 0.0009926161697054558, 'epoch': 0.15}

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{'loss': 4.0512, 'grad_norm': 0.26351916790008545, 'learning_rate': 0.000991902327757083, 'epoch': 0.15}

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{'loss': 4.0451, 'grad_norm': 0.22918514907360077, 'learning_rate': 0.000991155834381419, 'epoch': 0.15}

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{'loss': 4.0296, 'grad_norm': 0.2607370913028717, 'learning_rate': 0.0009903767391291024, 'epoch': 0.16}

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{'loss': 4.023, 'grad_norm': 0.23919695615768433, 'learning_rate': 0.0009895650937148137, 'epoch': 0.16}

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{'loss': 4.0191, 'grad_norm': 0.23342065513134003, 'learning_rate': 0.0009887209520138443, 'epoch': 0.16}

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{'loss': 4.0061, 'grad_norm': 0.24245581030845642, 'learning_rate': 0.0009878443700585202, 'epoch': 0.16}

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{'loss': 3.9947, 'grad_norm': 0.22793199121952057, 'learning_rate': 0.0009869354060344812, 'epoch': 0.17}

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{'loss': 4.0022, 'grad_norm': 0.23676888644695282, 'learning_rate': 0.000985994120276821, 'epoch': 0.17}

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{'loss': 3.9878, 'grad_norm': 0.24303695559501648, 'learning_rate': 0.0009850205752660803, 'epoch': 0.17}

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{'loss': 3.9813, 'grad_norm': 0.23812855780124664, 'learning_rate': 0.0009840148356241001, 'epoch': 0.17}

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{'loss': 3.9718, 'grad_norm': 0.2325008362531662, 'learning_rate': 0.0009829769681097328, 'epoch': 0.18}

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{'loss': 3.9723, 'grad_norm': 0.21967832744121552, 'learning_rate': 0.00098190704161441, 'epoch': 0.18}

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{'loss': 3.9693, 'grad_norm': 0.24840989708900452, 'learning_rate': 0.0009808051271575705, 'epoch': 0.18}

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{'loss': 3.9671, 'grad_norm': 0.23251184821128845, 'learning_rate': 0.0009796712978819458, 'epoch': 0.18}

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{'loss': 3.9474, 'grad_norm': 0.221074640750885, 'learning_rate': 0.0009785056290487041, 'epoch': 0.18}

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{'loss': 3.9514, 'grad_norm': 0.24040909111499786, 'learning_rate': 0.000977308198032457, 'epoch': 0.19}

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{'loss': 3.9432, 'grad_norm': 0.22196489572525024, 'learning_rate': 0.0009760790843161207, 'epoch': 0.19}

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{'loss': 3.9336, 'grad_norm': 0.25189265608787537, 'learning_rate': 0.0009748183694856421, 'epoch': 0.19}

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{'loss': 3.9349, 'grad_norm': 0.2281559258699417, 'learning_rate': 0.0009735261372245824, 'epoch': 0.19}

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{'loss': 3.9253, 'grad_norm': 0.22159616649150848, 'learning_rate': 0.0009722024733085633, 'epoch': 0.2}

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{'loss': 3.916, 'grad_norm': 0.24004532396793365, 'learning_rate': 0.0009708474655995716, 'epoch': 0.2}

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{'loss': 3.9192, 'grad_norm': 0.2257096767425537, 'learning_rate': 0.0009694612040401292, 'epoch': 0.2}

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{'loss': 3.9107, 'grad_norm': 0.2447642683982849, 'learning_rate': 0.0009680437806473211, 'epoch': 0.2}

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{'loss': 3.8994, 'grad_norm': 0.23503221571445465, 'learning_rate': 0.0009665952895066891, 'epoch': 0.21}

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{'loss': 3.8942, 'grad_norm': 0.2213190793991089, 'learning_rate': 0.0009651158267659854, 'epoch': 0.21}

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{'loss': 3.8935, 'grad_norm': 0.2441224604845047, 'learning_rate': 0.0009636054906287911, 'epoch': 0.21}

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{'loss': 3.895, 'grad_norm': 0.22634157538414001, 'learning_rate': 0.0009620643813479973, 'epoch': 0.21}

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{'loss': 3.8967, 'grad_norm': 0.2201349437236786, 'learning_rate': 0.000960492601219151, 'epoch': 0.21}

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{'loss': 3.8768, 'grad_norm': 0.23340605199337006, 'learning_rate': 0.0009588902545736645, 'epoch': 0.22}

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{'loss': 3.8777, 'grad_norm': 0.2291848063468933, 'learning_rate': 0.0009572574477718903, 'epoch': 0.22}

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{'loss': 3.8742, 'grad_norm': 0.24070025980472565, 'learning_rate': 0.0009555942891960611, 'epoch': 0.22}

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{'loss': 3.8727, 'grad_norm': 0.21880753338336945, 'learning_rate': 0.000953900889243096, 'epoch': 0.22}

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{'loss': 3.8694, 'grad_norm': 0.2334786206483841, 'learning_rate': 0.0009521773603172715, 'epoch': 0.23}

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{'loss': 3.859, 'grad_norm': 0.20726747810840607, 'learning_rate': 0.0009504238168227613, 'epoch': 0.23}

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{'loss': 3.859, 'grad_norm': 0.24309435486793518, 'learning_rate': 0.0009486403751560427, 'epoch': 0.23}

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{'loss': 3.853, 'grad_norm': 0.22117632627487183, 'learning_rate': 0.000946827153698169, 'epoch': 0.23}

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{'loss': 3.8571, 'grad_norm': 0.24820469319820404, 'learning_rate': 0.0009449842728069133, 'epoch': 0.24}

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{'loss': 3.8403, 'grad_norm': 0.21099726855754852, 'learning_rate': 0.0009431118548087783, 'epoch': 0.24}

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{'loss': 3.8418, 'grad_norm': 0.2147805392742157, 'learning_rate': 0.0009412100239908767, 'epoch': 0.24}

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{'loss': 3.8434, 'grad_norm': 0.2190558910369873, 'learning_rate': 0.0009392789065926817, 'epoch': 0.24}

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{'loss': 3.8427, 'grad_norm': 0.22728115320205688, 'learning_rate': 0.000937318630797647, 'epoch': 0.25}

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{'loss': 3.8268, 'grad_norm': 0.22073498368263245, 'learning_rate': 0.0009353293267246988, 'epoch': 0.25}

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{'loss': 3.8324, 'grad_norm': 0.22095580399036407, 'learning_rate': 0.0009333111264195981, 'epoch': 0.25}

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{'loss': 3.8322, 'grad_norm': 0.2236233949661255, 'learning_rate': 0.0009312641638461767, 'epoch': 0.25}

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{'loss': 3.8274, 'grad_norm': 0.25606346130371094, 'learning_rate': 0.0009291885748774436, 'epoch': 0.25}

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{'loss': 3.8263, 'grad_norm': 0.2073085755109787, 'learning_rate': 0.0009270844972865675, 'epoch': 0.26}

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{'loss': 3.823, 'grad_norm': 0.20877471566200256, 'learning_rate': 0.0009249520707377309, 'epoch': 0.26}

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{'loss': 3.8226, 'grad_norm': 0.2292700707912445, 'learning_rate': 0.0009227914367768598, 'epoch': 0.26}

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{'loss': 3.8093, 'grad_norm': 0.22660388052463531, 'learning_rate': 0.0009206027388222276, 'epoch': 0.26}

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{'loss': 3.8053, 'grad_norm': 0.20726996660232544, 'learning_rate': 0.0009183861221549363, 'epoch': 0.27}

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{'loss': 3.8152, 'grad_norm': 0.23009172081947327, 'learning_rate': 0.0009161417339092721, 'epoch': 0.27}

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{'loss': 3.8004, 'grad_norm': 0.22311356663703918, 'learning_rate': 0.0009138697230629397, 'epoch': 0.27}

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{'loss': 3.8074, 'grad_norm': 0.21517837047576904, 'learning_rate': 0.0009115702404271726, 'epoch': 0.27}

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{'loss': 3.8016, 'grad_norm': 0.217891663312912, 'learning_rate': 0.0009092434386367234, 'epoch': 0.28}

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{'loss': 3.7947, 'grad_norm': 0.22608791291713715, 'learning_rate': 0.0009068894721397322, 'epoch': 0.28}

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{'loss': 3.7885, 'grad_norm': 0.21458546817302704, 'learning_rate': 0.0009045084971874737, 'epoch': 0.28}

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{'loss': 3.7891, 'grad_norm': 0.21691183745861053, 'learning_rate': 0.0009021006718239868, 'epoch': 0.28}

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{'loss': 3.7894, 'grad_norm': 0.21471750736236572, 'learning_rate': 0.0008996661558755833, 'epoch': 0.28}

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{'loss': 3.7951, 'grad_norm': 0.2146574705839157, 'learning_rate': 0.000897205110940239, 'epoch': 0.29}

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{'loss': 3.7883, 'grad_norm': 0.21203887462615967, 'learning_rate': 0.0008947177003768671, 'epoch': 0.29}

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{'loss': 3.7794, 'grad_norm': 0.2273707389831543, 'learning_rate': 0.0008922040892944755, 'epoch': 0.29}

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{'loss': 3.7753, 'grad_norm': 0.2129189819097519, 'learning_rate': 0.0008896644445412061, 'epoch': 0.29}

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{'loss': 3.7712, 'grad_norm': 0.24111919105052948, 'learning_rate': 0.0008870989346932607, 'epoch': 0.3}

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{'loss': 3.7674, 'grad_norm': 0.22674790024757385, 'learning_rate': 0.0008845077300437107, 'epoch': 0.3}

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{'loss': 3.7707, 'grad_norm': 0.22549636662006378, 'learning_rate': 0.0008818910025911937, 'epoch': 0.3}

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{'loss': 3.764, 'grad_norm': 0.2125505656003952, 'learning_rate': 0.0008792489260284965, 'epoch': 0.3}

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{'loss': 3.756, 'grad_norm': 0.2137211114168167, 'learning_rate': 0.0008765816757310259, 'epoch': 0.31}

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{'loss': 3.7667, 'grad_norm': 0.20874793827533722, 'learning_rate': 0.0008738894287451674, 'epoch': 0.31}

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{'loss': 3.765, 'grad_norm': 0.22761762142181396, 'learning_rate': 0.0008711723637765334, 'epoch': 0.31}

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{'loss': 3.7584, 'grad_norm': 0.2265935093164444, 'learning_rate': 0.0008684306611781009, 'epoch': 0.31}

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{'loss': 3.7597, 'grad_norm': 0.23889285326004028, 'learning_rate': 0.0008656645029382404, 'epoch': 0.32}

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{'loss': 3.7555, 'grad_norm': 0.22678513824939728, 'learning_rate': 0.0008628740726686357, 'epoch': 0.32}

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{'loss': 3.7514, 'grad_norm': 0.20890499651432037, 'learning_rate': 0.000860059555592096, 'epoch': 0.32}

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{'loss': 3.7468, 'grad_norm': 0.2201945036649704, 'learning_rate': 0.0008572211385302617, 'epoch': 0.32}

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{'loss': 3.7449, 'grad_norm': 0.22432470321655273, 'learning_rate': 0.0008543590098912028, 'epoch': 0.32}

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{'loss': 3.7438, 'grad_norm': 0.22748605906963348, 'learning_rate': 0.0008514733596569138, 'epoch': 0.33}

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{'loss': 3.74, 'grad_norm': 0.22317294776439667, 'learning_rate': 0.0008485643793707016, 'epoch': 0.33}

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{'loss': 3.7344, 'grad_norm': 0.21141022443771362, 'learning_rate': 0.0008456322621244734, 'epoch': 0.33}

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{'loss': 3.7368, 'grad_norm': 0.2161491960287094, 'learning_rate': 0.0008426772025459173, 'epoch': 0.33}

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{'loss': 3.7405, 'grad_norm': 0.20470499992370605, 'learning_rate': 0.0008396993967855852, 'epoch': 0.34}

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{'loss': 3.7277, 'grad_norm': 0.21113736927509308, 'learning_rate': 0.000836699042503872, 'epoch': 0.34}

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{'loss': 3.7231, 'grad_norm': 0.21182815730571747, 'learning_rate': 0.000833676338857895, 'epoch': 0.34}

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{'loss': 3.7244, 'grad_norm': 0.20533247292041779, 'learning_rate': 0.0008306314864882747, 'epoch': 0.34}

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{'loss': 3.7191, 'grad_norm': 0.21250540018081665, 'learning_rate': 0.0008275646875058169, 'epoch': 0.35}

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{'loss': 3.721, 'grad_norm': 0.21746504306793213, 'learning_rate': 0.0008244761454780962, 'epoch': 0.35}

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{'loss': 3.7128, 'grad_norm': 0.22234268486499786, 'learning_rate': 0.0008213660654159454, 'epoch': 0.35}

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{'loss': 3.7216, 'grad_norm': 0.2034008502960205, 'learning_rate': 0.0008182346537598444, 'epoch': 0.35}

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{'loss': 3.7107, 'grad_norm': 0.22872726619243622, 'learning_rate': 0.0008150821183662201, 'epoch': 0.35}

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{'loss': 3.7121, 'grad_norm': 0.22021210193634033, 'learning_rate': 0.0008119086684936474, 'epoch': 0.36}

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{'loss': 3.7129, 'grad_norm': 0.22162503004074097, 'learning_rate': 0.00080871451478896, 'epoch': 0.36}

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{'loss': 3.7051, 'grad_norm': 0.21020440757274628, 'learning_rate': 0.0008054998692732676, 'epoch': 0.36}

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{'loss': 3.7006, 'grad_norm': 0.21024733781814575, 'learning_rate': 0.0008022649453278827, 'epoch': 0.36}

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{'loss': 3.7255, 'grad_norm': 0.22115634381771088, 'learning_rate': 0.0007990099576801568, 'epoch': 0.37}

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{'loss': 3.7024, 'grad_norm': 0.23040825128555298, 'learning_rate': 0.0007957351223892271, 'epoch': 0.37}

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{'loss': 3.7066, 'grad_norm': 0.20940832793712616, 'learning_rate': 0.0007924406568316749, 'epoch': 0.37}

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{'loss': 3.703, 'grad_norm': 0.20795822143554688, 'learning_rate': 0.0007891267796870969, 'epoch': 0.37}

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{'loss': 3.6952, 'grad_norm': 0.23276852071285248, 'learning_rate': 0.0007857937109235893, 'epoch': 0.38}

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{'loss': 3.6976, 'grad_norm': 0.2082584947347641, 'learning_rate': 0.0007824416717831475, 'epoch': 0.38}

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{'loss': 3.6952, 'grad_norm': 0.21912731230258942, 'learning_rate': 0.0007790708847669796, 'epoch': 0.38}

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{'loss': 3.6972, 'grad_norm': 0.21457435190677643, 'learning_rate': 0.0007756815736207379, 'epoch': 0.38}

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{'loss': 3.6897, 'grad_norm': 0.20860223472118378, 'learning_rate': 0.000772273963319667, 'epoch': 0.39}

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{'loss': 3.6833, 'grad_norm': 0.22223851084709167, 'learning_rate': 0.0007688482800536699, 'epoch': 0.39}

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{'loss': 3.686, 'grad_norm': 0.2209596037864685, 'learning_rate': 0.000765404751212295, 'epoch': 0.39}

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{'loss': 3.6848, 'grad_norm': 0.20909157395362854, 'learning_rate': 0.0007619436053696421, 'epoch': 0.39}

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{'loss': 3.6912, 'grad_norm': 0.22206901013851166, 'learning_rate': 0.0007584650722691891, 'epoch': 0.39}

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{'loss': 3.6891, 'grad_norm': 0.21009673178195953, 'learning_rate': 0.0007549693828085437, 'epoch': 0.4}

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{'loss': 3.6837, 'grad_norm': 0.19919070601463318, 'learning_rate': 0.0007514567690241163, 'epoch': 0.4}

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{'loss': 3.6726, 'grad_norm': 0.22207830846309662, 'learning_rate': 0.0007479274640757172, 'epoch': 0.4}

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{'loss': 3.6743, 'grad_norm': 0.1996040940284729, 'learning_rate': 0.0007443817022310808, 'epoch': 0.4}

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{'loss': 3.6797, 'grad_norm': 0.23130658268928528, 'learning_rate': 0.0007408197188503156, 'epoch': 0.41}

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{'loss': 3.6756, 'grad_norm': 0.22272993624210358, 'learning_rate': 0.0007372417503702805, 'epoch': 0.41}

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{'loss': 3.6773, 'grad_norm': 0.21167872846126556, 'learning_rate': 0.0007336480342888914, 'epoch': 0.41}

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{'loss': 3.6689, 'grad_norm': 0.2038463056087494, 'learning_rate': 0.0007300388091493566, 'epoch': 0.41}

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{'loss': 3.6692, 'grad_norm': 0.21675582230091095, 'learning_rate': 0.0007264143145243422, 'epoch': 0.42}

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{'loss': 3.6622, 'grad_norm': 0.2196115106344223, 'learning_rate': 0.0007227747910000704, 'epoch': 0.42}

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{'loss': 3.6643, 'grad_norm': 0.2161710560321808, 'learning_rate': 0.0007191204801603497, 'epoch': 0.42}

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{'loss': 3.6571, 'grad_norm': 0.2267025113105774, 'learning_rate': 0.000715451624570539, 'epoch': 0.42}

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{'loss': 3.6569, 'grad_norm': 0.21078349649906158, 'learning_rate': 0.0007117684677614468, 'epoch': 0.42}

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{'loss': 3.6614, 'grad_norm': 0.20464015007019043, 'learning_rate': 0.0007080712542131656, 'epoch': 0.43}

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{'loss': 3.6614, 'grad_norm': 0.196250319480896, 'learning_rate': 0.000704360229338845, 'epoch': 0.43}

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{'loss': 3.6616, 'grad_norm': 0.2131803333759308, 'learning_rate': 0.0007006356394684002, 'epoch': 0.43}

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{'loss': 3.6645, 'grad_norm': 0.2149886041879654, 'learning_rate': 0.0006968977318321625, 'epoch': 0.43}

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{'loss': 3.6603, 'grad_norm': 0.24230130016803741, 'learning_rate': 0.000693146754544468, 'epoch': 0.44}

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{'loss': 3.6505, 'grad_norm': 0.207076758146286, 'learning_rate': 0.0006893829565871878, 'epoch': 0.44}

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{'loss': 3.6525, 'grad_norm': 0.21103601157665253, 'learning_rate': 0.0006856065877932025, 'epoch': 0.44}

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{'loss': 3.6524, 'grad_norm': 0.2118808925151825, 'learning_rate': 0.0006818178988298176, 'epoch': 0.44}

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{'loss': 3.6526, 'grad_norm': 0.20688080787658691, 'learning_rate': 0.000678017141182125, 'epoch': 0.45}

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{'loss': 3.651, 'grad_norm': 0.22816026210784912, 'learning_rate': 0.0006742045671363106, 'epoch': 0.45}

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{'loss': 3.6446, 'grad_norm': 0.21707111597061157, 'learning_rate': 0.0006703804297629074, 'epoch': 0.45}

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{'loss': 3.6454, 'grad_norm': 0.2013978809118271, 'learning_rate': 0.0006665449828999971, 'epoch': 0.45}

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{'loss': 3.643, 'grad_norm': 0.22206124663352966, 'learning_rate': 0.0006626984811363616, 'epoch': 0.46}

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{'loss': 3.6369, 'grad_norm': 0.21660315990447998, 'learning_rate': 0.0006588411797945836, 'epoch': 0.46}

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{'loss': 3.638, 'grad_norm': 0.20689529180526733, 'learning_rate': 0.0006549733349140982, 'epoch': 0.46}

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{'loss': 3.6427, 'grad_norm': 0.1952309012413025, 'learning_rate': 0.0006510952032341988, 'epoch': 0.46}

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{'loss': 3.637, 'grad_norm': 0.21616405248641968, 'learning_rate': 0.000647207042176994, 'epoch': 0.46}

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{'loss': 3.6309, 'grad_norm': 0.20637008547782898, 'learning_rate': 0.0006433091098303216, 'epoch': 0.47}

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{'loss': 3.6289, 'grad_norm': 0.20754700899124146, 'learning_rate': 0.0006394016649306164, 'epoch': 0.47}

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{'loss': 3.6392, 'grad_norm': 0.20101672410964966, 'learning_rate': 0.0006354849668457362, 'epoch': 0.47}

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{'loss': 3.6302, 'grad_norm': 0.19726406037807465, 'learning_rate': 0.0006315592755577455, 'epoch': 0.47}

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{'loss': 3.6308, 'grad_norm': 0.20723550021648407, 'learning_rate': 0.0006276248516456589, 'epoch': 0.48}

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{'loss': 3.6218, 'grad_norm': 0.20580445230007172, 'learning_rate': 0.0006236819562681432, 'epoch': 0.48}

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{'loss': 3.6273, 'grad_norm': 0.22488032281398773, 'learning_rate': 0.0006197308511461836, 'epoch': 0.48}

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{'loss': 3.6238, 'grad_norm': 0.22212262451648712, 'learning_rate': 0.0006157717985457101, 'epoch': 0.48}

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{'loss': 3.6235, 'grad_norm': 0.22548773884773254, 'learning_rate': 0.00061180506126019, 'epoch': 0.49}

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{'loss': 3.6248, 'grad_norm': 0.21547581255435944, 'learning_rate': 0.0006078309025931831, 'epoch': 0.49}

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{'loss': 3.6184, 'grad_norm': 0.20336969196796417, 'learning_rate': 0.0006038495863408649, 'epoch': 0.49}

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{'loss': 3.6215, 'grad_norm': 0.22179986536502838, 'learning_rate': 0.0005998613767745162, 'epoch': 0.49}

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{'loss': 3.6147, 'grad_norm': 0.214761421084404, 'learning_rate': 0.0005958665386229811, 'epoch': 0.49}

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{'loss': 3.6148, 'grad_norm': 0.19356054067611694, 'learning_rate': 0.0005918653370550951, 'epoch': 0.5}

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{'loss': 3.6194, 'grad_norm': 0.20430681109428406, 'learning_rate': 0.0005878580376620838, 'epoch': 0.5}

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{'loss': 3.6175, 'grad_norm': 0.22253550589084625, 'learning_rate': 0.0005838449064399331, 'epoch': 0.5}

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{'loss': 3.6058, 'grad_norm': 0.20930980145931244, 'learning_rate': 0.0005798262097717339, 'epoch': 0.5}

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{'loss': 3.6021, 'grad_norm': 0.21244846284389496, 'learning_rate': 0.0005758022144099991, 'epoch': 0.51}

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{'loss': 3.6074, 'grad_norm': 0.21596971154212952, 'learning_rate': 0.0005717731874589576, 'epoch': 0.51}

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{'loss': 3.599, 'grad_norm': 0.21292027831077576, 'learning_rate': 0.0005677393963568244, 'epoch': 0.51}

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{'loss': 3.6027, 'grad_norm': 0.20116987824440002, 'learning_rate': 0.0005637011088580488, 'epoch': 0.51}

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{'loss': 3.6025, 'grad_norm': 0.20110033452510834, 'learning_rate': 0.0005596585930155414, 'epoch': 0.52}

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{'loss': 3.6071, 'grad_norm': 0.20695407688617706, 'learning_rate': 0.0005556121171628811, 'epoch': 0.52}

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{'loss': 3.6145, 'grad_norm': 0.2154918611049652, 'learning_rate': 0.000551561949896504, 'epoch': 0.52}

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{'loss': 3.6076, 'grad_norm': 0.21846842765808105, 'learning_rate': 0.0005475083600578742, 'epoch': 0.52}

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{'loss': 3.5893, 'grad_norm': 0.20309817790985107, 'learning_rate': 0.0005434516167156389, 'epoch': 0.53}

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{'loss': 3.5909, 'grad_norm': 0.20858898758888245, 'learning_rate': 0.0005393919891477681, 'epoch': 0.53}

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{'loss': 3.5943, 'grad_norm': 0.20353920757770538, 'learning_rate': 0.0005353297468236806, 'epoch': 0.53}

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{'loss': 3.5922, 'grad_norm': 0.21354708075523376, 'learning_rate': 0.0005312651593863571, 'epoch': 0.53}

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{'loss': 3.5988, 'grad_norm': 0.21027758717536926, 'learning_rate': 0.0005271984966344421, 'epoch': 0.53}

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{'loss': 3.5888, 'grad_norm': 0.20791859924793243, 'learning_rate': 0.0005231300285043346, 'epoch': 0.54}

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{'loss': 3.592, 'grad_norm': 0.20464007556438446, 'learning_rate': 0.0005190600250522716, 'epoch': 0.54}

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{'loss': 3.5881, 'grad_norm': 0.21413886547088623, 'learning_rate': 0.0005149887564364004, 'epoch': 0.54}

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{'loss': 3.5845, 'grad_norm': 0.20112666487693787, 'learning_rate': 0.0005109164928988476, 'epoch': 0.54}

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{'loss': 3.5803, 'grad_norm': 0.21770741045475006, 'learning_rate': 0.0005068435047477813, 'epoch': 0.55}

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{'loss': 3.5804, 'grad_norm': 0.19915008544921875, 'learning_rate': 0.000502770062339467, 'epoch': 0.55}

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{'loss': 3.5835, 'grad_norm': 0.21295446157455444, 'learning_rate': 0.0004986964360603231, 'epoch': 0.55}

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{'loss': 3.5868, 'grad_norm': 0.2170076072216034, 'learning_rate': 0.000494622896308973, 'epoch': 0.55}

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{'loss': 3.5871, 'grad_norm': 0.19568665325641632, 'learning_rate': 0.0004905497134782966, 'epoch': 0.56}

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{'loss': 3.579, 'grad_norm': 0.20150353014469147, 'learning_rate': 0.00048647715793748213, 'epoch': 0.56}

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{'loss': 3.5852, 'grad_norm': 0.2213253229856491, 'learning_rate': 0.00048240550001407955, 'epoch': 0.56}

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{'loss': 3.5754, 'grad_norm': 0.2168966680765152, 'learning_rate': 0.00047833500997605707, 'epoch': 0.56}

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{'loss': 3.5755, 'grad_norm': 0.22596652805805206, 'learning_rate': 0.0004742659580138609, 'epoch': 0.56}

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{'loss': 3.5757, 'grad_norm': 0.21491220593452454, 'learning_rate': 0.0004701986142224813, 'epoch': 0.57}

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{'loss': 3.5782, 'grad_norm': 0.215079203248024, 'learning_rate': 0.0004661332485835234, 'epoch': 0.57}

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{'loss': 3.5737, 'grad_norm': 0.21459344029426575, 'learning_rate': 0.0004620701309472869, 'epoch': 0.57}

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{'loss': 3.5756, 'grad_norm': 0.20370140671730042, 'learning_rate': 0.0004580095310148539, 'epoch': 0.57}

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{'loss': 3.5798, 'grad_norm': 0.21135957539081573, 'learning_rate': 0.00045395171832018655, 'epoch': 0.58}

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{'loss': 3.5689, 'grad_norm': 0.21257993578910828, 'learning_rate': 0.00044989696221223635, 'epoch': 0.58}

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{'loss': 3.5644, 'grad_norm': 0.21132366359233856, 'learning_rate': 0.000445845531837065, 'epoch': 0.58}

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{'loss': 3.5671, 'grad_norm': 0.20595581829547882, 'learning_rate': 0.000441797696119979, 'epoch': 0.58}

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{'loss': 3.5678, 'grad_norm': 0.20038443803787231, 'learning_rate': 0.0004377537237476793, 'epoch': 0.59}

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{'loss': 3.5646, 'grad_norm': 0.21111732721328735, 'learning_rate': 0.00043371388315042623, 'epoch': 0.59}

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{'loss': 3.5622, 'grad_norm': 0.21166010200977325, 'learning_rate': 0.00042967844248422153, 'epoch': 0.59}

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{'loss': 3.5568, 'grad_norm': 0.21924659609794617, 'learning_rate': 0.00042564766961300916, 'epoch': 0.59}

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{'loss': 3.5628, 'grad_norm': 0.22065050899982452, 'learning_rate': 0.00042162183209089473, 'epoch': 0.6}

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{'loss': 3.5608, 'grad_norm': 0.21598558127880096, 'learning_rate': 0.00041760119714438575, 'epoch': 0.6}

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{'loss': 3.5477, 'grad_norm': 0.19717788696289062, 'learning_rate': 0.0004135860316546541, 'epoch': 0.6}

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{'loss': 3.5599, 'grad_norm': 0.21421508491039276, 'learning_rate': 0.0004095766021398206, 'epoch': 0.6}

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{'loss': 3.5554, 'grad_norm': 0.20731109380722046, 'learning_rate': 0.00040557317473726437, 'epoch': 0.6}

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{'loss': 3.5509, 'grad_norm': 0.2094406932592392, 'learning_rate': 0.000401576015185957, 'epoch': 0.61}

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{'loss': 3.5669, 'grad_norm': 0.19499361515045166, 'learning_rate': 0.0003975853888088237, 'epoch': 0.61}

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{'loss': 3.5542, 'grad_norm': 0.21206128597259521, 'learning_rate': 0.0003936015604951313, 'epoch': 0.61}

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{'loss': 3.5506, 'grad_norm': 0.22741419076919556, 'learning_rate': 0.00038962479468290583, 'epoch': 0.61}

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{'loss': 3.5476, 'grad_norm': 0.20728006958961487, 'learning_rate': 0.0003856553553413795, 'epoch': 0.62}

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{'loss': 3.5453, 'grad_norm': 0.21505843102931976, 'learning_rate': 0.00038169350595346896, 'epoch': 0.62}

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{'loss': 3.5498, 'grad_norm': 0.2071445733308792, 'learning_rate': 0.00037773950949828583, 'epoch': 0.62}

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{'loss': 3.5516, 'grad_norm': 0.2023448646068573, 'learning_rate': 0.00037379362843368126, 'epoch': 0.62}

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{'loss': 3.5409, 'grad_norm': 0.21680878102779388, 'learning_rate': 0.0003698561246788237, 'epoch': 0.63}

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{'loss': 3.5451, 'grad_norm': 0.20806936919689178, 'learning_rate': 0.0003659272595968135, 'epoch': 0.63}

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{'loss': 3.5414, 'grad_norm': 0.20856039226055145, 'learning_rate': 0.0003620072939773347, 'epoch': 0.63}

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{'loss': 3.542, 'grad_norm': 0.21951603889465332, 'learning_rate': 0.0003580964880193439, 'epoch': 0.63}

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{'loss': 3.5325, 'grad_norm': 0.20748725533485413, 'learning_rate': 0.00035419510131379873, 'epoch': 0.63}

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{'loss': 3.5412, 'grad_norm': 0.21229040622711182, 'learning_rate': 0.0003503033928264272, 'epoch': 0.64}

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{'loss': 3.5295, 'grad_norm': 0.2166542261838913, 'learning_rate': 0.00034642162088053754, 'epoch': 0.64}

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{'loss': 3.5431, 'grad_norm': 0.21269790828227997, 'learning_rate': 0.0003425500431398719, 'epoch': 0.64}

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{'loss': 3.5409, 'grad_norm': 0.2212219089269638, 'learning_rate': 0.0003386889165915025, 'epoch': 0.64}

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{'loss': 3.528, 'grad_norm': 0.20752106606960297, 'learning_rate': 0.00033483849752877394, 'epoch': 0.65}

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{'loss': 3.5391, 'grad_norm': 0.22618690133094788, 'learning_rate': 0.0003309990415342904, 'epoch': 0.65}

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{'loss': 3.5455, 'grad_norm': 0.2035151571035385, 'learning_rate': 0.0003271708034629518, 'epoch': 0.65}

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{'loss': 3.5317, 'grad_norm': 0.2015218287706375, 'learning_rate': 0.00032335403742503533, 'epoch': 0.65}

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{'loss': 3.5357, 'grad_norm': 0.20918017625808716, 'learning_rate': 0.0003195489967693295, 'epoch': 0.66}

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{'loss': 3.5222, 'grad_norm': 0.23473036289215088, 'learning_rate': 0.00031575593406631694, 'epoch': 0.66}

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{'loss': 3.5283, 'grad_norm': 0.21308575570583344, 'learning_rate': 0.0003119751010914092, 'epoch': 0.66}

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{'loss': 3.5262, 'grad_norm': 0.22250424325466156, 'learning_rate': 0.00030820674880823476, 'epoch': 0.66}

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{'loss': 3.5177, 'grad_norm': 0.2155470848083496, 'learning_rate': 0.0003044511273519802, 'epoch': 0.67}

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{'loss': 3.518, 'grad_norm': 0.2161777913570404, 'learning_rate': 0.00030070848601278715, 'epoch': 0.67}

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{'loss': 3.5165, 'grad_norm': 0.2226986587047577, 'learning_rate': 0.0002969790732192046, 'epoch': 0.67}

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{'loss': 3.5167, 'grad_norm': 0.20294903218746185, 'learning_rate': 0.000293263136521699, 'epoch': 0.67}

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{'loss': 3.5223, 'grad_norm': 0.2184595763683319, 'learning_rate': 0.0002895609225762222, 'epoch': 0.67}

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{'loss': 3.5251, 'grad_norm': 0.20068421959877014, 'learning_rate': 0.0002858726771278391, 'epoch': 0.68}

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{'loss': 3.5141, 'grad_norm': 0.2066713571548462, 'learning_rate': 0.00028219864499441584, 'epoch': 0.68}

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{'loss': 3.522, 'grad_norm': 0.21050620079040527, 'learning_rate': 0.00027853907005036824, 'epoch': 0.68}

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{'loss': 3.5187, 'grad_norm': 0.20548035204410553, 'learning_rate': 0.00027489419521047563, 'epoch': 0.68}

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{'loss': 3.5108, 'grad_norm': 0.20673821866512299, 'learning_rate': 0.0002712642624137552, 'epoch': 0.69}

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{'loss': 3.5106, 'grad_norm': 0.20177896320819855, 'learning_rate': 0.0002676495126074034, 'epoch': 0.69}

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{'loss': 3.5077, 'grad_norm': 0.21004989743232727, 'learning_rate': 0.0002640501857308021, 'epoch': 0.69}

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{'loss': 3.5175, 'grad_norm': 0.2072819024324417, 'learning_rate': 0.0002604665206995922, 'epoch': 0.69}

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{'loss': 3.5138, 'grad_norm': 0.21523329615592957, 'learning_rate': 0.0002568987553898142, 'epoch': 0.7}

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{'loss': 3.506, 'grad_norm': 0.20263920724391937, 'learning_rate': 0.00025334712662211965, 'epoch': 0.7}

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{'loss': 3.5085, 'grad_norm': 0.21134477853775024, 'learning_rate': 0.0002498118701460503, 'epoch': 0.7}

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{'loss': 3.5069, 'grad_norm': 0.20888468623161316, 'learning_rate': 0.0002462932206243906, 'epoch': 0.7}

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{'loss': 3.511, 'grad_norm': 0.21541394293308258, 'learning_rate': 0.00024279141161759015, 'epoch': 0.7}

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{'loss': 3.5051, 'grad_norm': 0.20614704489707947, 'learning_rate': 0.00023930667556826173, 'epoch': 0.71}

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{'loss': 3.507, 'grad_norm': 0.208187535405159, 'learning_rate': 0.00023583924378575154, 'epoch': 0.71}

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{'loss': 3.5078, 'grad_norm': 0.2166445553302765, 'learning_rate': 0.00023238934643078497, 'epoch': 0.71}

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{'loss': 3.5025, 'grad_norm': 0.20473435521125793, 'learning_rate': 0.0002289572125001901, 'epoch': 0.71}

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{'loss': 3.5105, 'grad_norm': 0.20991823077201843, 'learning_rate': 0.00022554306981169614, 'epoch': 0.72}

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{'loss': 3.5037, 'grad_norm': 0.21225473284721375, 'learning_rate': 0.00022214714498881283, 'epoch': 0.72}

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{'loss': 3.5126, 'grad_norm': 0.21778923273086548, 'learning_rate': 0.00021876966344578608, 'epoch': 0.72}

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{'loss': 3.4981, 'grad_norm': 0.20502237975597382, 'learning_rate': 0.00021541084937263684, 'epoch': 0.72}

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{'loss': 3.5021, 'grad_norm': 0.2194036841392517, 'learning_rate': 0.00021207092572027864, 'epoch': 0.73}

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                                                      {'loss': 3.5013, 'grad_norm': 0.2145644873380661, 'learning_rate': 0.00020875011418571983, 'epoch': 0.73}


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{'loss': 3.5049, 'grad_norm': 0.2008429914712906, 'learning_rate': 0.00020544863519734647, 'epoch': 0.73}

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{'loss': 3.4952, 'grad_norm': 0.21077501773834229, 'learning_rate': 0.000202166707900292, 'epoch': 0.73}

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{'loss': 3.4932, 'grad_norm': 0.21335580945014954, 'learning_rate': 0.0001989045501418899, 'epoch': 0.74}

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{'loss': 3.4993, 'grad_norm': 0.21341420710086823, 'learning_rate': 0.00019566237845721407, 'epoch': 0.74}

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{'loss': 3.4911, 'grad_norm': 0.2147369384765625, 'learning_rate': 0.00019244040805470552, 'epoch': 0.74}

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{'loss': 3.4861, 'grad_norm': 0.20595163106918335, 'learning_rate': 0.0001892388528018869, 'epoch': 0.74}

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{'loss': 3.4975, 'grad_norm': 0.20925165712833405, 'learning_rate': 0.00018605792521116728, 'epoch': 0.74}

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{'loss': 3.4903, 'grad_norm': 0.2229934185743332, 'learning_rate': 0.0001828978364257349, 'epoch': 0.75}

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{'loss': 3.4949, 'grad_norm': 0.20470161736011505, 'learning_rate': 0.0001797587962055431, 'epoch': 0.75}

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{'loss': 3.489, 'grad_norm': 0.20547674596309662, 'learning_rate': 0.00017664101291338597, 'epoch': 0.75}

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{'loss': 3.4851, 'grad_norm': 0.21791554987430573, 'learning_rate': 0.00017354469350106845, 'epoch': 0.75}

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{'loss': 3.4926, 'grad_norm': 0.2079867571592331, 'learning_rate': 0.00017047004349566842, 'epoch': 0.76}

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{'loss': 3.4815, 'grad_norm': 0.21556071937084198, 'learning_rate': 0.00016741726698589533, 'epoch': 0.76}

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{'loss': 3.4867, 'grad_norm': 0.2213582992553711, 'learning_rate': 0.00016438656660854202, 'epoch': 0.76}

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{'loss': 3.4851, 'grad_norm': 0.20968641340732574, 'learning_rate': 0.00016137814353503523, 'epoch': 0.76}

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{'loss': 3.4871, 'grad_norm': 0.21099285781383514, 'learning_rate': 0.00015839219745808174, 'epoch': 0.77}

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{'loss': 3.4768, 'grad_norm': 0.20600253343582153, 'learning_rate': 0.0001554289265784129, 'epoch': 0.77}

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{'loss': 3.4893, 'grad_norm': 0.20920102298259735, 'learning_rate': 0.00015248852759162934, 'epoch': 0.77}

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{'loss': 3.4849, 'grad_norm': 0.2057146430015564, 'learning_rate': 0.00014957119567514355, 'epoch': 0.77}

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{'loss': 3.4859, 'grad_norm': 0.20382709801197052, 'learning_rate': 0.00014667712447522592, 'epoch': 0.77}

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{'loss': 3.4889, 'grad_norm': 0.215171217918396, 'learning_rate': 0.0001438065060941493, 'epoch': 0.78}

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{'loss': 3.4883, 'grad_norm': 0.20566119253635406, 'learning_rate': 0.0001409595310774391, 'epoch': 0.78}

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{'loss': 3.4758, 'grad_norm': 0.20512153208255768, 'learning_rate': 0.000138136388401224, 'epoch': 0.78}

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{'loss': 3.4747, 'grad_norm': 0.20567183196544647, 'learning_rate': 0.0001353372654596935, 'epoch': 0.78}

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{'loss': 3.4765, 'grad_norm': 0.21182747185230255, 'learning_rate': 0.0001325623480526576, 'epoch': 0.79}

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{'loss': 3.4732, 'grad_norm': 0.21369527280330658, 'learning_rate': 0.00012981182037321516, 'epoch': 0.79}

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{'loss': 3.4792, 'grad_norm': 0.2145787924528122, 'learning_rate': 0.00012708586499552644, 'epoch': 0.79}

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{'loss': 3.4754, 'grad_norm': 0.20338737964630127, 'learning_rate': 0.000124384662862695, 'epoch': 0.79}

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{'loss': 3.4707, 'grad_norm': 0.21320827305316925, 'learning_rate': 0.00012170839327475707, 'epoch': 0.8}

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{'loss': 3.4731, 'grad_norm': 0.21020813286304474, 'learning_rate': 0.00011905723387677897, 'epoch': 0.8}

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{'loss': 3.4774, 'grad_norm': 0.20613256096839905, 'learning_rate': 0.00011643136064706706, 'epoch': 0.8}

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{'loss': 3.4697, 'grad_norm': 0.20786121487617493, 'learning_rate': 0.00011383094788548492, 'epoch': 0.8}

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{'loss': 3.459, 'grad_norm': 0.20592735707759857, 'learning_rate': 0.00011125616820188544, 'epoch': 0.81}

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{'loss': 3.4724, 'grad_norm': 0.2067655473947525, 'learning_rate': 0.00010870719250465161, 'epoch': 0.81}

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{'loss': 3.4727, 'grad_norm': 0.20706765353679657, 'learning_rate': 0.00010618418998935358, 'epoch': 0.81}

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{'loss': 3.476, 'grad_norm': 0.21139520406723022, 'learning_rate': 0.00010368732812751652, 'epoch': 0.81}

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{'loss': 3.4724, 'grad_norm': 0.19785431027412415, 'learning_rate': 0.00010121677265550522, 'epoch': 0.81}

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{'loss': 3.478, 'grad_norm': 0.20718243718147278, 'learning_rate': 9.877268756352204e-05, 'epoch': 0.82}

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{'loss': 3.4681, 'grad_norm': 0.21009208261966705, 'learning_rate': 9.635523508472227e-05, 'epoch': 0.82}

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{'loss': 3.479, 'grad_norm': 0.20512166619300842, 'learning_rate': 9.396457568444517e-05, 'epoch': 0.82}

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{'loss': 3.4666, 'grad_norm': 0.208785280585289, 'learning_rate': 9.160086804956214e-05, 'epoch': 0.82}

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{'loss': 3.4641, 'grad_norm': 0.2065414935350418, 'learning_rate': 8.926426907794455e-05, 'epoch': 0.83}

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{'loss': 3.4641, 'grad_norm': 0.1976018100976944, 'learning_rate': 8.695493386804792e-05, 'epoch': 0.83}

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{'loss': 3.4717, 'grad_norm': 0.20386828482151031, 'learning_rate': 8.467301570861784e-05, 'epoch': 0.83}

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{'loss': 3.4678, 'grad_norm': 0.20654983818531036, 'learning_rate': 8.241866606851428e-05, 'epoch': 0.83}

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{'loss': 3.465, 'grad_norm': 0.20210114121437073, 'learning_rate': 8.019203458665802e-05, 'epoch': 0.84}

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{'loss': 3.464, 'grad_norm': 0.19994676113128662, 'learning_rate': 7.79932690620972e-05, 'epoch': 0.84}

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{'loss': 3.4729, 'grad_norm': 0.20815598964691162, 'learning_rate': 7.582251544419754e-05, 'epoch': 0.84}

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{'loss': 3.4629, 'grad_norm': 0.2034187912940979, 'learning_rate': 7.367991782295391e-05, 'epoch': 0.84}

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{'loss': 3.4653, 'grad_norm': 0.2018793821334839, 'learning_rate': 7.156561841942638e-05, 'epoch': 0.84}

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{'loss': 3.4676, 'grad_norm': 0.20751985907554626, 'learning_rate': 6.947975757629937e-05, 'epoch': 0.85}

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{'loss': 3.4578, 'grad_norm': 0.2028672993183136, 'learning_rate': 6.742247374856664e-05, 'epoch': 0.85}

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{'loss': 3.4557, 'grad_norm': 0.2065771520137787, 'learning_rate': 6.539390349434054e-05, 'epoch': 0.85}

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{'loss': 3.4573, 'grad_norm': 0.20254550874233246, 'learning_rate': 6.339418146578746e-05, 'epoch': 0.85}

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{'loss': 3.4668, 'grad_norm': 0.20389819145202637, 'learning_rate': 6.142344040019049e-05, 'epoch': 0.86}

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{'loss': 3.4496, 'grad_norm': 0.2005539983510971, 'learning_rate': 5.948181111113765e-05, 'epoch': 0.86}

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{'loss': 3.4696, 'grad_norm': 0.2045644074678421, 'learning_rate': 5.7569422479840036e-05, 'epoch': 0.86}

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{'loss': 3.4634, 'grad_norm': 0.20562919974327087, 'learning_rate': 5.5686401446575555e-05, 'epoch': 0.86}

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{'loss': 3.4545, 'grad_norm': 0.20651346445083618, 'learning_rate': 5.383287300226419e-05, 'epoch': 0.87}

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{'loss': 3.4601, 'grad_norm': 0.20547163486480713, 'learning_rate': 5.2008960180170264e-05, 'epoch': 0.87}

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{'loss': 3.4544, 'grad_norm': 0.2041156142950058, 'learning_rate': 5.021478404773666e-05, 'epoch': 0.87}

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{'loss': 3.4581, 'grad_norm': 0.20548632740974426, 'learning_rate': 4.8450463698547996e-05, 'epoch': 0.87}

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{'loss': 3.4666, 'grad_norm': 0.19808131456375122, 'learning_rate': 4.6716116244425786e-05, 'epoch': 0.88}

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{'loss': 3.4696, 'grad_norm': 0.2101159542798996, 'learning_rate': 4.5011856807654794e-05, 'epoch': 0.88}

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{'loss': 3.4607, 'grad_norm': 0.2011880725622177, 'learning_rate': 4.333779851334108e-05, 'epoch': 0.88}

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{'loss': 3.4484, 'grad_norm': 0.19749414920806885, 'learning_rate': 4.169405248190361e-05, 'epoch': 0.88}

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{'loss': 3.4598, 'grad_norm': 0.20325160026550293, 'learning_rate': 4.0080727821697695e-05, 'epoch': 0.88}

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{'loss': 3.4615, 'grad_norm': 0.2038802057504654, 'learning_rate': 3.849793162177323e-05, 'epoch': 0.89}

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{'loss': 3.4547, 'grad_norm': 0.20961333811283112, 'learning_rate': 3.69457689447657e-05, 'epoch': 0.89}

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{'loss': 3.4534, 'grad_norm': 0.2039371132850647, 'learning_rate': 3.5424342819923015e-05, 'epoch': 0.89}

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{'loss': 3.4614, 'grad_norm': 0.19679290056228638, 'learning_rate': 3.393375423626599e-05, 'epoch': 0.89}

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{'loss': 3.4579, 'grad_norm': 0.2002602070569992, 'learning_rate': 3.247410213588553e-05, 'epoch': 0.9}

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{'loss': 3.4591, 'grad_norm': 0.20276613533496857, 'learning_rate': 3.1045483407374505e-05, 'epoch': 0.9}

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{'loss': 3.4535, 'grad_norm': 0.1989155411720276, 'learning_rate': 2.9647992879397012e-05, 'epoch': 0.9}

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{'loss': 3.4596, 'grad_norm': 0.19986951351165771, 'learning_rate': 2.828172331439327e-05, 'epoch': 0.9}

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{'loss': 3.458, 'grad_norm': 0.20100107789039612, 'learning_rate': 2.6946765402422858e-05, 'epoch': 0.91}

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{'loss': 3.4596, 'grad_norm': 0.20375418663024902, 'learning_rate': 2.5643207755144615e-05, 'epoch': 0.91}

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{'loss': 3.4649, 'grad_norm': 0.20198915898799896, 'learning_rate': 2.4371136899934532e-05, 'epoch': 0.91}

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{'loss': 3.4597, 'grad_norm': 0.20057742297649384, 'learning_rate': 2.3130637274142775e-05, 'epoch': 0.91}

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{'loss': 3.449, 'grad_norm': 0.19939519464969635, 'learning_rate': 2.1921791219488398e-05, 'epoch': 0.91}

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{'loss': 3.4487, 'grad_norm': 0.19957706332206726, 'learning_rate': 2.0744678976594156e-05, 'epoch': 0.92}

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{'loss': 3.4415, 'grad_norm': 0.20519590377807617, 'learning_rate': 1.959937867965983e-05, 'epoch': 0.92}

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{'loss': 3.4543, 'grad_norm': 0.20279066264629364, 'learning_rate': 1.8485966351276417e-05, 'epoch': 0.92}

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{'loss': 3.4506, 'grad_norm': 0.1975790113210678, 'learning_rate': 1.7404515897379126e-05, 'epoch': 0.92}

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{'loss': 3.4551, 'grad_norm': 0.20100091397762299, 'learning_rate': 1.6355099102342562e-05, 'epoch': 0.93}

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{'loss': 3.4536, 'grad_norm': 0.1983504295349121, 'learning_rate': 1.5337785624215004e-05, 'epoch': 0.93}

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{'loss': 3.4468, 'grad_norm': 0.19730907678604126, 'learning_rate': 1.435264299009531e-05, 'epoch': 0.93}

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{'loss': 3.4432, 'grad_norm': 0.19733107089996338, 'learning_rate': 1.339973659165028e-05, 'epoch': 0.93}

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{'loss': 3.4543, 'grad_norm': 0.19983096420764923, 'learning_rate': 1.2479129680773971e-05, 'epoch': 0.94}

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{'loss': 3.4508, 'grad_norm': 0.2013917714357376, 'learning_rate': 1.1590883365389549e-05, 'epoch': 0.94}

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{'loss': 3.4512, 'grad_norm': 0.20253655314445496, 'learning_rate': 1.0735056605392756e-05, 'epoch': 0.94}

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{'loss': 3.4562, 'grad_norm': 0.19860142469406128, 'learning_rate': 9.911706208738547e-06, 'epoch': 0.94}

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{'loss': 3.4503, 'grad_norm': 0.19803504645824432, 'learning_rate': 9.120886827669928e-06, 'epoch': 0.95}

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{'loss': 3.4513, 'grad_norm': 0.1997789889574051, 'learning_rate': 8.3626509550907e-06, 'epoch': 0.95}

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{'loss': 3.4398, 'grad_norm': 0.20191562175750732, 'learning_rate': 7.637048921080636e-06, 'epoch': 0.95}

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{'loss': 3.4691, 'grad_norm': 0.1970663070678711, 'learning_rate': 6.9441288895552015e-06, 'epoch': 0.95}

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{'loss': 3.4419, 'grad_norm': 0.19494123756885529, 'learning_rate': 6.283936855068006e-06, 'epoch': 0.95}

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{'loss': 3.4462, 'grad_norm': 0.19866269826889038, 'learning_rate': 5.656516639758136e-06, 'epoch': 0.96}

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{'loss': 3.4509, 'grad_norm': 0.2033526599407196, 'learning_rate': 5.0619098904411964e-06, 'epoch': 0.96}

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{'loss': 3.4468, 'grad_norm': 0.19901812076568604, 'learning_rate': 4.500156075844919e-06, 'epoch': 0.96}

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{'loss': 3.4487, 'grad_norm': 0.19912084937095642, 'learning_rate': 3.971292483989309e-06, 'epoch': 0.96}

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{'loss': 3.4542, 'grad_norm': 0.19652505218982697, 'learning_rate': 3.4753542197114575e-06, 'epoch': 0.97}

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{'loss': 3.4516, 'grad_norm': 0.20045451819896698, 'learning_rate': 3.0123742023356325e-06, 'epoch': 0.97}

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{'loss': 3.4518, 'grad_norm': 0.2025448977947235, 'learning_rate': 2.582383163487745e-06, 'epoch': 0.97}

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{'loss': 3.4488, 'grad_norm': 0.2005777508020401, 'learning_rate': 2.1854096450558136e-06, 'epoch': 0.97}

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{'loss': 3.4525, 'grad_norm': 0.1972251981496811, 'learning_rate': 1.8214799972953166e-06, 'epoch': 0.98}

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{'loss': 3.4537, 'grad_norm': 0.1986766755580902, 'learning_rate': 1.490618377079922e-06, 'epoch': 0.98}

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{'loss': 3.4521, 'grad_norm': 0.20203430950641632, 'learning_rate': 1.1928467462982706e-06, 'epoch': 0.98}

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{'loss': 3.443, 'grad_norm': 0.19574856758117676, 'learning_rate': 9.281848703961426e-07, 'epoch': 0.98}

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{'loss': 3.4469, 'grad_norm': 0.19583311676979065, 'learning_rate': 6.966503170642292e-07, 'epoch': 0.98}

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{'loss': 3.4478, 'grad_norm': 0.1962028294801712, 'learning_rate': 4.982584550723978e-07, 'epoch': 0.99}

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{'loss': 3.4504, 'grad_norm': 0.1993260234594345, 'learning_rate': 3.3302245324928757e-07, 'epoch': 0.99}

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{'loss': 3.4529, 'grad_norm': 0.20060044527053833, 'learning_rate': 2.0095327960817367e-07, 'epoch': 0.99}

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{'loss': 3.4491, 'grad_norm': 0.1995704621076584, 'learning_rate': 1.0205970061916148e-07, 'epoch': 0.99}

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{'loss': 3.4533, 'grad_norm': 0.1970687359571457, 'learning_rate': 3.6348280627040987e-08, 'epoch': 1.0}

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{'loss': 3.4513, 'grad_norm': 0.19689184427261353, 'learning_rate': 3.823381415801741e-09, 'epoch': 1.0}

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{'train_runtime': 6532.774, 'train_samples_per_second': 1679.043, 'train_steps_per_second': 1.64, 'train_loss': 3.840199184204056, '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.