slurm submission log: 2024-05-13 22:25:15.209821
created following sbatch script: 

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

#!/bin/bash

#SBATCH --account=nlp
#SBATCH --cpus-per-task=16
#SBATCH --dependency=afterok:7608400
#SBATCH --gres=gpu:2
#SBATCH --job-name=tthrush-job-247471
#SBATCH --mem=400G
#SBATCH --nodelist=sphinx2
#SBATCH --open-mode=append
#SBATCH --output=/juice5/scr5/tthrush/pretraining-coreset-selection/llm_pretraining/llms_basic/pythia-70m_sciq/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 29504 --nproc_per_node=2 train_llm.py --dataset_id /juice5/scr5/tthrush/pretraining-coreset-selection/llm_pretraining/train_data_basic/sciq --output_dir /juice5/scr5/tthrush/pretraining-coreset-selection/llm_pretraining/llms_basic/pythia-70m_sciq --output_hub_id pythia-70m_sciq --model_id EleutherAI/pythia-70m --num_train_epochs 14 --learning_rate 1e-3 --warmup_ratio=0.1 --gradient_accumulation_steps 2'

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

submission to slurm complete!


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

Submitted batch job 7608401



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

###############################
start time: 2024-05-14 03:07:22.154075
machine: sphinx2
conda env: pretraining-coreset-selection
###############################
running following processes

	torchrun --master_port 29504 --nproc_per_node=2 train_llm.py --dataset_id /juice5/scr5/tthrush/pretraining-coreset-selection/llm_pretraining/train_data_basic/sciq --output_dir /juice5/scr5/tthrush/pretraining-coreset-selection/llm_pretraining/llms_basic/pythia-70m_sciq --output_hub_id pythia-70m_sciq --model_id EleutherAI/pythia-70m --num_train_epochs 14 --learning_rate 1e-3 --warmup_ratio=0.1 --gradient_accumulation_steps 2


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


[2024-05-14 03:07:29,793] torch.distributed.run: [WARNING] 
[2024-05-14 03:07:29,793] torch.distributed.run: [WARNING] *****************************************
[2024-05-14 03:07:29,793] 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. 
[2024-05-14 03:07:29,793] torch.distributed.run: [WARNING] *****************************************
05/14/2024 03:07:53 - INFO - __main__ - Script parameters ScriptArguments(dataset_id='/juice5/scr5/tthrush/pretraining-coreset-selection/llm_pretraining/train_data_basic/sciq', output_dir='/juice5/scr5/tthrush/pretraining-coreset-selection/llm_pretraining/llms_basic/pythia-70m_sciq', output_hub_id='pythia-70m_sciq', hf_hub_token=True, model_id='EleutherAI/pythia-70m', per_device_train_batch_size=256, num_train_epochs=14, 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)
05/14/2024 03:07:53 - INFO - __main__ - Script parameters ScriptArguments(dataset_id='/juice5/scr5/tthrush/pretraining-coreset-selection/llm_pretraining/train_data_basic/sciq', output_dir='/juice5/scr5/tthrush/pretraining-coreset-selection/llm_pretraining/llms_basic/pythia-70m_sciq', output_hub_id='pythia-70m_sciq', hf_hub_token=True, model_id='EleutherAI/pythia-70m', per_device_train_batch_size=256, num_train_epochs=14, 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)

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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': 7.2877, 'grad_norm': 0.35171735286712646, 'learning_rate': 0.0001403180542563143, 'epoch': 0.2}

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{'loss': 6.49, 'grad_norm': 0.5072534680366516, 'learning_rate': 0.00018709073900841907, 'epoch': 0.26}

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{'loss': 5.8192, 'grad_norm': 0.5921502709388733, 'learning_rate': 0.00025724976613657625, 'epoch': 0.36}

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{'loss': 5.3275, 'grad_norm': 0.6799241304397583, 'learning_rate': 0.0003507951356407858, 'epoch': 0.49}

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                                                     {'loss': 5.2303, 'grad_norm': 0.8058034181594849, 'learning_rate': 0.00037418147801683815, 'epoch': 0.52}

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                                                     {'loss': 5.136, 'grad_norm': 0.6656970381736755, 'learning_rate': 0.0003975678203928906, 'epoch': 0.56}


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                                                     {'loss': 4.8038, 'grad_norm': 0.5235499143600464, 'learning_rate': 0.0005144995322731525, 'epoch': 0.72}

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  6%|▌         | 650/10682 [07:10<1:22:10,  2.03it/s]{'loss': 4.6182, 'grad_norm': 0.5184542536735535, 'learning_rate': 0.0006080449017773621, 'epoch': 0.85}

                                                     

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{'loss': 4.5809, 'grad_norm': 0.5665849447250366, 'learning_rate': 0.0006314312441534145, 'epoch': 0.88}

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  7%|▋         | 700/10682 [07:34<1:22:01,  2.03it/s]{'loss': 4.5376, 'grad_norm': 0.4440583884716034, 'learning_rate': 0.0006548175865294667, 'epoch': 0.92}

                                                     

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  7%|▋         | 725/10682 [07:46<1:21:45,  2.03it/s]{'loss': 4.5143, 'grad_norm': 0.4737792909145355, 'learning_rate': 0.0006782039289055192, 'epoch': 0.95}

                                                     

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{'loss': 4.4782, 'grad_norm': 0.4658203721046448, 'learning_rate': 0.0007015902712815716, 'epoch': 0.98}

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  7%|▋         | 775/10682 [08:37<1:46:32,  1.55it/s]{'loss': 4.4229, 'grad_norm': 0.48834672570228577, 'learning_rate': 0.0007249766136576241, 'epoch': 1.02}

                                                     

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                                                     {'loss': 4.3773, 'grad_norm': 0.4929778277873993, 'learning_rate': 0.0007483629560336763, 'epoch': 1.05}


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  8%|▊         | 825/10682 [09:01<1:20:46,  2.03it/s]{'loss': 4.3517, 'grad_norm': 0.461195170879364, 'learning_rate': 0.0007717492984097287, 'epoch': 1.08}

                                                     

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                                                     {'loss': 4.3318, 'grad_norm': 0.3948540687561035, 'learning_rate': 0.0007951356407857812, 'epoch': 1.11}

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{'loss': 4.3213, 'grad_norm': 0.4452287256717682, 'learning_rate': 0.0008185219831618334, 'epoch': 1.15}

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                                                     {'loss': 4.2942, 'grad_norm': 0.41193363070487976, 'learning_rate': 0.0008419083255378859, 'epoch': 1.18}

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{'loss': 4.2767, 'grad_norm': 0.3837554454803467, 'learning_rate': 0.0008652946679139383, 'epoch': 1.21}

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{'loss': 4.2515, 'grad_norm': 0.46351000666618347, 'learning_rate': 0.0008886810102899908, 'epoch': 1.25}

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{'loss': 4.2325, 'grad_norm': 0.38818424940109253, 'learning_rate': 0.000912067352666043, 'epoch': 1.28}

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{'loss': 4.2212, 'grad_norm': 0.3748522698879242, 'learning_rate': 0.0009354536950420954, 'epoch': 1.31}

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                                                      {'loss': 4.1905, 'grad_norm': 0.40814051032066345, 'learning_rate': 0.0009588400374181479, 'epoch': 1.34}


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{'loss': 4.1823, 'grad_norm': 0.35391390323638916, 'learning_rate': 0.0009822263797942, 'epoch': 1.38}

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                                                      {'loss': 4.1703, 'grad_norm': 0.34471002221107483, 'learning_rate': 0.0009999990387768293, 'epoch': 1.41}

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                                                      {'loss': 4.1543, 'grad_norm': 0.35574451088905334, 'learning_rate': 0.0009999743408927195, 'epoch': 1.44}

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{'loss': 4.1318, 'grad_norm': 0.3079230487346649, 'learning_rate': 0.0009999162690918172, 'epoch': 1.47}

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                                                      {'loss': 4.095, 'grad_norm': 0.33021223545074463, 'learning_rate': 0.0009998248272504882, 'epoch': 1.51}

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{'loss': 4.0884, 'grad_norm': 0.31715109944343567, 'learning_rate': 0.0009997000214725905, 'epoch': 1.54}

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{'loss': 4.0744, 'grad_norm': 0.28916990756988525, 'learning_rate': 0.000999541860089067, 'epoch': 1.57}

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{'loss': 4.0485, 'grad_norm': 0.2867940366268158, 'learning_rate': 0.0009993503536573894, 'epoch': 1.61}

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                                                      {'loss': 4.0475, 'grad_norm': 0.31911078095436096, 'learning_rate': 0.0009991255149608528, 'epoch': 1.64}

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                                                      {'loss': 4.0119, 'grad_norm': 0.2966330945491791, 'learning_rate': 0.0009988673590077238, 'epoch': 1.67}


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{'loss': 3.9995, 'grad_norm': 0.27864670753479004, 'learning_rate': 0.0009985759030302366, 'epoch': 1.7}

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                                                      {'loss': 3.9921, 'grad_norm': 0.28086546063423157, 'learning_rate': 0.0009982511664834452, 'epoch': 1.74}

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                                                      {'loss': 3.9759, 'grad_norm': 0.28050118684768677, 'learning_rate': 0.0009978931710439229, 'epoch': 1.77}


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{'loss': 3.9587, 'grad_norm': 0.2726575434207916, 'learning_rate': 0.000997501940608316, 'epoch': 1.8}

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                                                      {'loss': 3.9391, 'grad_norm': 0.2692701816558838, 'learning_rate': 0.0009970775012917489, 'epoch': 1.83}

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{'loss': 3.9352, 'grad_norm': 0.26365354657173157, 'learning_rate': 0.00099661988142608, 'epoch': 1.87}

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                                                      {'loss': 3.9111, 'grad_norm': 0.27031317353248596, 'learning_rate': 0.0009961291115580116, 'epoch': 1.9}

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                                                      {'loss': 3.9053, 'grad_norm': 0.2928144335746765, 'learning_rate': 0.0009956052244470509, 'epoch': 1.93}

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{'loss': 3.8931, 'grad_norm': 0.25430533289909363, 'learning_rate': 0.0009950482550633215, 'epoch': 1.97}

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{'loss': 3.884, 'grad_norm': 0.25534749031066895, 'learning_rate': 0.0009944582405852314, 'epoch': 2.0}

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{'loss': 3.7648, 'grad_norm': 0.26271018385887146, 'learning_rate': 0.0009938352203969901, 'epoch': 2.03}

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                                                      {'loss': 3.7489, 'grad_norm': 0.2545630633831024, 'learning_rate': 0.0009931792360859792, 'epoch': 2.06}


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                                                      {'loss': 3.7523, 'grad_norm': 0.255876362323761, 'learning_rate': 0.0009924903314399776, 'epoch': 2.1}

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                                                      {'loss': 3.7557, 'grad_norm': 0.26529163122177124, 'learning_rate': 0.0009917685524442382, 'epoch': 2.13}

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{'loss': 3.7546, 'grad_norm': 0.27699950337409973, 'learning_rate': 0.0009910139472784174, 'epoch': 2.16}

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                                                      {'loss': 3.7545, 'grad_norm': 0.2557952404022217, 'learning_rate': 0.0009902265663133602, 'epoch': 2.2}


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                                                      {'loss': 3.746, 'grad_norm': 0.26154303550720215, 'learning_rate': 0.0009894064621077375, 'epoch': 2.23}

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                                                      {'loss': 3.7409, 'grad_norm': 0.24618278443813324, 'learning_rate': 0.0009885536894045377, 'epoch': 2.26}

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                                                      {'loss': 3.7401, 'grad_norm': 0.25231707096099854, 'learning_rate': 0.0009876683051274124, 'epoch': 2.29}

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                                                      {'loss': 3.7287, 'grad_norm': 0.26213154196739197, 'learning_rate': 0.0009867503683768772, 'epoch': 2.33}

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                                                      {'loss': 3.735, 'grad_norm': 0.24308912456035614, 'learning_rate': 0.0009857999404263656, 'epoch': 2.36}


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{'loss': 3.7241, 'grad_norm': 0.23775964975357056, 'learning_rate': 0.0009848170847181403, 'epoch': 2.39}

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                                                      {'loss': 3.7188, 'grad_norm': 0.2450547069311142, 'learning_rate': 0.0009838018668590573, 'epoch': 2.42}

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 18%|█▊        | 1875/10682 [18:40<1:12:23,  2.03it/s]{'loss': 3.7175, 'grad_norm': 0.26430779695510864, 'learning_rate': 0.000982754354616187, 'epoch': 2.46}

                                                      

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                                                      {'loss': 3.7173, 'grad_norm': 0.24563144147396088, 'learning_rate': 0.0009816746179122904, 'epoch': 2.49}


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                                                      {'loss': 3.6938, 'grad_norm': 0.24848058819770813, 'learning_rate': 0.0009805627288211524, 'epoch': 2.52}

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{'loss': 3.7034, 'grad_norm': 0.23817740380764008, 'learning_rate': 0.0009794187615627694, 'epoch': 2.56}

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{'loss': 3.7004, 'grad_norm': 0.23283229768276215, 'learning_rate': 0.0009782427924983968, 'epoch': 2.59}

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                                                      {'loss': 3.7078, 'grad_norm': 0.2600013017654419, 'learning_rate': 0.00097703490012545, 'epoch': 2.62}


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                                                      {'loss': 3.6905, 'grad_norm': 0.22819173336029053, 'learning_rate': 0.0009757951650722661, 'epoch': 2.65}

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{'loss': 3.6876, 'grad_norm': 0.23931193351745605, 'learning_rate': 0.0009745236700927205, 'epoch': 2.69}

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{'loss': 3.6834, 'grad_norm': 0.24322113394737244, 'learning_rate': 0.0009732205000607044, 'epoch': 2.72}

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{'loss': 3.6803, 'grad_norm': 0.24019412696361542, 'learning_rate': 0.000971885741964458, 'epoch': 2.75}

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                                                      {'loss': 3.6742, 'grad_norm': 0.2474628984928131, 'learning_rate': 0.0009705194849007652, 'epoch': 2.79}

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{'loss': 3.6708, 'grad_norm': 0.24314142763614655, 'learning_rate': 0.0009691218200690053, 'epoch': 2.82}

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                                                      {'loss': 3.6576, 'grad_norm': 0.23526935279369354, 'learning_rate': 0.0009662326423751136, 'epoch': 2.88}

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{'loss': 3.6552, 'grad_norm': 0.24977202713489532, 'learning_rate': 0.000964741322369231, 'epoch': 2.92}

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                                                      {'loss': 3.653, 'grad_norm': 0.23798730969429016, 'learning_rate': 0.0009632189802949055, 'epoch': 2.95}

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{'loss': 3.6369, 'grad_norm': 0.2627755105495453, 'learning_rate': 0.0009616657177703876, 'epoch': 2.98}

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{'loss': 3.585, 'grad_norm': 0.2304140329360962, 'learning_rate': 0.0009600816384779067, 'epoch': 3.01}

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                                                      {'loss': 3.4958, 'grad_norm': 0.237784743309021, 'learning_rate': 0.00095846684815675, 'epoch': 3.05}

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{'loss': 3.5081, 'grad_norm': 0.2699032127857208, 'learning_rate': 0.0009568214545962046, 'epoch': 3.08}

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{'loss': 3.5113, 'grad_norm': 0.23423047363758087, 'learning_rate': 0.0009551455676283627, 'epoch': 3.11}

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{'loss': 3.5143, 'grad_norm': 0.23776118457317352, 'learning_rate': 0.0009534392991207893, 'epoch': 3.15}

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                                                      {'loss': 3.5177, 'grad_norm': 0.2383512407541275, 'learning_rate': 0.0009517027629690559, 'epoch': 3.18}

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                                                      {'loss': 3.5209, 'grad_norm': 0.24523334205150604, 'learning_rate': 0.0009499360750891371, 'epoch': 3.21}

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                                                      {'loss': 3.5175, 'grad_norm': 0.23478205502033234, 'learning_rate': 0.0009481393534096735, 'epoch': 3.24}


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{'loss': 3.5187, 'grad_norm': 0.24450728297233582, 'learning_rate': 0.0009425701948841596, 'epoch': 3.34}

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                                                      {'loss': 3.5164, 'grad_norm': 0.23225007951259613, 'learning_rate': 0.0009387095054051274, 'epoch': 3.41}


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                                                      {'loss': 3.5159, 'grad_norm': 0.23937572538852692, 'learning_rate': 0.0009367351691304569, 'epoch': 3.44}


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                                                      {'loss': 3.5176, 'grad_norm': 0.22638297080993652, 'learning_rate': 0.0009347316802333359, 'epoch': 3.47}

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{'loss': 3.5228, 'grad_norm': 0.23239389061927795, 'learning_rate': 0.0009326991724491712, 'epoch': 3.51}

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{'loss': 3.5147, 'grad_norm': 0.24310429394245148, 'learning_rate': 0.0009306377814504165, 'epoch': 3.54}

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                                                      {'loss': 3.5108, 'grad_norm': 0.2253056913614273, 'learning_rate': 0.0009285476448375166, 'epoch': 3.57}

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                                                      {'loss': 3.5104, 'grad_norm': 0.23330174386501312, 'learning_rate': 0.0009264289021297221, 'epoch': 3.6}


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                                                      {'loss': 3.5154, 'grad_norm': 0.23314587771892548, 'learning_rate': 0.0009242816947557767, 'epoch': 3.64}

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{'loss': 3.5154, 'grad_norm': 0.23598870635032654, 'learning_rate': 0.0009221061660444758, 'epoch': 3.67}

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{'loss': 3.5105, 'grad_norm': 0.24188287556171417, 'learning_rate': 0.0009199024612151008, 'epoch': 3.7}

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{'loss': 3.5152, 'grad_norm': 0.24550814926624298, 'learning_rate': 0.0009176707273677235, 'epoch': 3.74}

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{'loss': 3.5101, 'grad_norm': 0.23304134607315063, 'learning_rate': 0.0009154111134733883, 'epoch': 3.77}

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{'loss': 3.5097, 'grad_norm': 0.23000313341617584, 'learning_rate': 0.0009131237703641679, 'epoch': 3.8}

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{'loss': 3.5035, 'grad_norm': 0.2204403132200241, 'learning_rate': 0.0009108088507230948, 'epoch': 3.83}

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{'loss': 3.5013, 'grad_norm': 0.24233365058898926, 'learning_rate': 0.0009084665090739699, 'epoch': 3.87}

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{'loss': 3.497, 'grad_norm': 0.24304595589637756, 'learning_rate': 0.0009060969017710476, 'epoch': 3.9}

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                                                      {'loss': 3.5014, 'grad_norm': 0.2264363169670105, 'learning_rate': 0.0009037001869885992, 'epoch': 3.93}


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{'loss': 3.5053, 'grad_norm': 0.2255387306213379, 'learning_rate': 0.0009012765247103541, 'epoch': 3.96}

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                                                      {'loss': 3.4945, 'grad_norm': 0.24906256794929504, 'learning_rate': 0.000898826076718821, 'epoch': 4.0}

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{'loss': 3.355, 'grad_norm': 0.2276843637228012, 'learning_rate': 0.0008963490065844889, 'epoch': 4.03}

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                                                      {'loss': 3.3451, 'grad_norm': 0.23790496587753296, 'learning_rate': 0.0008938454796549082, 'epoch': 4.06}


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{'loss': 3.3523, 'grad_norm': 0.23841145634651184, 'learning_rate': 0.000891315663043654, 'epoch': 4.1}

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                                                      {'loss': 3.3634, 'grad_norm': 0.22659450769424438, 'learning_rate': 0.0008887597256191701, 'epoch': 4.13}

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{'loss': 3.3653, 'grad_norm': 0.2400379478931427, 'learning_rate': 0.0008861778379934982, 'epoch': 4.16}

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{'loss': 3.3694, 'grad_norm': 0.2366999238729477, 'learning_rate': 0.000883570172510888, 'epoch': 4.19}

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{'loss': 3.3812, 'grad_norm': 0.23618268966674805, 'learning_rate': 0.0008809369032362939, 'epoch': 4.23}

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                                                      {'loss': 3.3852, 'grad_norm': 0.24197526276111603, 'learning_rate': 0.0008782782059437559, 'epoch': 4.26}

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{'loss': 3.3841, 'grad_norm': 0.25784462690353394, 'learning_rate': 0.0008728852388759212, 'epoch': 4.33}

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{'loss': 3.3883, 'grad_norm': 0.2294672429561615, 'learning_rate': 0.0008701513290879668, 'epoch': 4.36}

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{'loss': 3.3875, 'grad_norm': 0.22358568012714386, 'learning_rate': 0.0008673927112327234, 'epoch': 4.39}

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                                                      {'loss': 3.3885, 'grad_norm': 0.2299930453300476, 'learning_rate': 0.000864609569451406, 'epoch': 4.42}

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                                                    {'loss': 3.3815, 'grad_norm': 0.24654826521873474, 'learning_rate': 0.0008618020895222331, 'epoch': 4.46}

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{'loss': 3.3796, 'grad_norm': 0.22413115203380585, 'learning_rate': 0.0008589704588480251, 'epoch': 4.49}

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                                                    {'loss': 3.4017, 'grad_norm': 0.23580165207386017, 'learning_rate': 0.0008561148664436948, 'epoch': 4.52}

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                                                    {'loss': 3.3879, 'grad_norm': 0.2276921421289444, 'learning_rate': 0.0008532355029236307, 'epoch': 4.55}

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                                                    {'loss': 3.387, 'grad_norm': 0.2311798632144928, 'learning_rate': 0.0008503325604889736, 'epoch': 4.59}

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                                                    {'loss': 3.3928, 'grad_norm': 0.22691459953784943, 'learning_rate': 0.0008474062329147856, 'epoch': 4.62}

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                                                    {'loss': 3.3862, 'grad_norm': 0.22344204783439636, 'learning_rate': 0.0008444567155371176, 'epoch': 4.65}

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                                                    {'loss': 3.3918, 'grad_norm': 0.23193243145942688, 'learning_rate': 0.0008384889004421422, 'epoch': 4.72}


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                                                    {'loss': 3.3871, 'grad_norm': 0.24467919766902924, 'learning_rate': 0.0008354710010840066, 'epoch': 4.75}

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                                                    {'loss': 3.3858, 'grad_norm': 0.24819228053092957, 'learning_rate': 0.0008324307086141438, 'epoch': 4.78}

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                                                    {'loss': 3.3832, 'grad_norm': 0.2231438010931015, 'learning_rate': 0.000829368225975904, 'epoch': 4.82}


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{'loss': 3.3966, 'grad_norm': 0.2252095639705658, 'learning_rate': 0.0008262837575938593, 'epoch': 4.85}

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                                                    {'loss': 3.3936, 'grad_norm': 0.2260412573814392, 'learning_rate': 0.0008231775093601584, 'epoch': 4.88}

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                                                    {'loss': 3.3936, 'grad_norm': 0.2310350388288498, 'learning_rate': 0.0008200496886207818, 'epoch': 4.91}


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{'loss': 3.3921, 'grad_norm': 0.2354964166879654, 'learning_rate': 0.0008169005041617021, 'epoch': 4.95}

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                                                    {'loss': 3.3947, 'grad_norm': 0.2545378506183624, 'learning_rate': 0.0008137301661949477, 'epoch': 4.98}


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{'loss': 3.2268, 'grad_norm': 0.23983147740364075, 'learning_rate': 0.0008073268776325152, 'epoch': 5.05}

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{'loss': 3.2457, 'grad_norm': 0.24064038693904877, 'learning_rate': 0.0008040943544644116, 'epoch': 5.08}

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{'loss': 3.2479, 'grad_norm': 0.2379971742630005, 'learning_rate': 0.00080084153261525, 'epoch': 5.11}

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                                                    {'loss': 3.2518, 'grad_norm': 0.23845161497592926, 'learning_rate': 0.0007975686292149845, 'epoch': 5.14}

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{'loss': 3.2577, 'grad_norm': 0.26230692863464355, 'learning_rate': 0.0007942758627340383, 'epoch': 5.18}

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                                                    {'loss': 3.2549, 'grad_norm': 0.24530772864818573, 'learning_rate': 0.00079096345296872, 'epoch': 5.21}

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                                                    {'loss': 3.2638, 'grad_norm': 0.23454944789409637, 'learning_rate': 0.0007876316210265521, 'epoch': 5.24}


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                                                    {'loss': 3.2725, 'grad_norm': 0.23371388018131256, 'learning_rate': 0.0007809105815091867, 'epoch': 5.31}


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                                                    {'loss': 3.2844, 'grad_norm': 0.23212629556655884, 'learning_rate': 0.0007741145387033967, 'epoch': 5.37}

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{'loss': 3.2782, 'grad_norm': 0.2282927930355072, 'learning_rate': 0.0007706889573443467, 'epoch': 5.41}

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{'loss': 3.273, 'grad_norm': 0.24275505542755127, 'learning_rate': 0.0007672453071565586, 'epoch': 5.44}

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                                                    {'loss': 3.2904, 'grad_norm': 0.23282289505004883, 'learning_rate': 0.0007637838180080183, 'epoch': 5.47}

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                                                    {'loss': 3.2873, 'grad_norm': 0.24354353547096252, 'learning_rate': 0.0007603047209574854, 'epoch': 5.5}


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{'loss': 3.2863, 'grad_norm': 0.23144467175006866, 'learning_rate': 0.0007568082482390682, 'epoch': 5.54}

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{'loss': 3.2931, 'grad_norm': 0.23292134702205658, 'learning_rate': 0.0007532946332467235, 'epoch': 5.57}

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                                                    {'loss': 3.2935, 'grad_norm': 0.22837887704372406, 'learning_rate': 0.0007497641105186759, 'epoch': 5.6}

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                                                    {'loss': 3.2882, 'grad_norm': 0.22854845225811005, 'learning_rate': 0.0007462169157217631, 'epoch': 5.64}


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                                                    {'loss': 3.3019, 'grad_norm': 0.2543056607246399, 'learning_rate': 0.0007426532856357045, 'epoch': 5.67}


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{'loss': 3.2821, 'grad_norm': 0.22349199652671814, 'learning_rate': 0.0007390734581372948, 'epoch': 5.7}

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                                                    {'loss': 3.2995, 'grad_norm': 0.24557529389858246, 'learning_rate': 0.0007354776721845277, 'epoch': 5.73}

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                                                    {'loss': 3.299, 'grad_norm': 0.2316053956747055, 'learning_rate': 0.0007318661678006427, 'epoch': 5.77}

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{'loss': 3.2981, 'grad_norm': 0.23380208015441895, 'learning_rate': 0.0007282391860581049, 'epoch': 5.8}

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{'loss': 3.3015, 'grad_norm': 0.2245059609413147, 'learning_rate': 0.0007245969690625126, 'epoch': 5.83}

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{'loss': 3.306, 'grad_norm': 0.232958123087883, 'learning_rate': 0.0007172678028031901, 'epoch': 5.9}

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                                                    {'loss': 3.3046, 'grad_norm': 0.23448871076107025, 'learning_rate': 0.0007135813427705359, 'epoch': 5.93}


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                                                    {'loss': 3.2986, 'grad_norm': 0.22654014825820923, 'learning_rate': 0.0007098806259143232, 'epoch': 5.96}

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                                                    {'loss': 3.3014, 'grad_norm': 0.23308730125427246, 'learning_rate': 0.0007061658992620613, 'epoch': 6.0}

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{'loss': 3.1389, 'grad_norm': 0.24818626046180725, 'learning_rate': 0.0006986954093387361, 'epoch': 6.06}

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{'loss': 3.1536, 'grad_norm': 0.23446175456047058, 'learning_rate': 0.0006949401447322816, 'epoch': 6.09}

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                                                    {'loss': 3.1539, 'grad_norm': 0.24139218032360077, 'learning_rate': 0.0006911718676257091, 'epoch': 6.13}

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{'loss': 3.1671, 'grad_norm': 0.2394649237394333, 'learning_rate': 0.0006873908295562602, 'epoch': 6.16}

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{'loss': 3.182, 'grad_norm': 0.2407282143831253, 'learning_rate': 0.0006835972829129873, 'epoch': 6.19}

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{'loss': 3.1695, 'grad_norm': 0.2350742518901825, 'learning_rate': 0.0006721441278537161, 'epoch': 6.29}

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{'loss': 3.1901, 'grad_norm': 0.2328224927186966, 'learning_rate': 0.0006644508122054031, 'epoch': 6.36}

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{'loss': 3.19, 'grad_norm': 0.23279090225696564, 'learning_rate': 0.0006605875598609699, 'epoch': 6.39}

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                                                    {'loss': 3.1978, 'grad_norm': 0.2699660360813141, 'learning_rate': 0.0006528291554991272, 'epoch': 6.45}


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{'loss': 3.1958, 'grad_norm': 0.23839372396469116, 'learning_rate': 0.0006489345213649782, 'epoch': 6.49}

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                                                    {'loss': 3.201, 'grad_norm': 0.2312227040529251, 'learning_rate': 0.0006450299456639985, 'epoch': 6.52}


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{'loss': 3.204, 'grad_norm': 0.23554398119449615, 'learning_rate': 0.0006411156890315328, 'epoch': 6.55}

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                                                    {'loss': 3.2111, 'grad_norm': 0.23755007982254028, 'learning_rate': 0.0006371920127491398, 'epoch': 6.59}

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                                                    {'loss': 3.2025, 'grad_norm': 0.24464580416679382, 'learning_rate': 0.0006332591787271516, 'epoch': 6.62}

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{'loss': 3.2064, 'grad_norm': 0.23628418147563934, 'learning_rate': 0.0006293174494871916, 'epoch': 6.65}

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                                                    {'loss': 3.2176, 'grad_norm': 0.23022371530532837, 'learning_rate': 0.0006253670881446494, 'epoch': 6.68}

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                                                    {'loss': 3.2075, 'grad_norm': 0.22806937992572784, 'learning_rate': 0.0006214083583911186, 'epoch': 6.72}

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{'loss': 3.2036, 'grad_norm': 0.2300538867712021, 'learning_rate': 0.0006174415244767953, 'epoch': 6.75}

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                                                    {'loss': 3.2135, 'grad_norm': 0.237064391374588, 'learning_rate': 0.0006134668511928376, 'epoch': 6.78}


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                                                    {'loss': 3.2113, 'grad_norm': 0.2496025562286377, 'learning_rate': 0.0006014984507777682, 'epoch': 6.88}

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                                                    {'loss': 3.2153, 'grad_norm': 0.23879429697990417, 'learning_rate': 0.000597495078126763, 'epoch': 6.91}

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{'loss': 3.2121, 'grad_norm': 0.22657202184200287, 'learning_rate': 0.000593485197556533, 'epoch': 6.95}

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{'loss': 3.2098, 'grad_norm': 0.23966051638126373, 'learning_rate': 0.0005894690767316552, 'epoch': 6.98}

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{'loss': 3.1576, 'grad_norm': 0.2454763650894165, 'learning_rate': 0.0005854469837332512, 'epoch': 7.01}

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{'loss': 3.0515, 'grad_norm': 0.23688727617263794, 'learning_rate': 0.0005814191870410933, 'epoch': 7.04}

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{'loss': 3.0656, 'grad_norm': 0.24689175188541412, 'learning_rate': 0.0005773859555156823, 'epoch': 7.08}

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                                                    {'loss': 3.0637, 'grad_norm': 0.24490544199943542, 'learning_rate': 0.0005733475583803009, 'epoch': 7.11}

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{'loss': 3.0733, 'grad_norm': 0.2429303675889969, 'learning_rate': 0.0005693042652030427, 'epoch': 7.14}

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                                                    {'loss': 3.08, 'grad_norm': 0.24181708693504333, 'learning_rate': 0.0005652563458788184, 'epoch': 7.18}

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{'loss': 3.0943, 'grad_norm': 0.24631384015083313, 'learning_rate': 0.0005612040706113396, 'epoch': 7.21}

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{'loss': 3.0977, 'grad_norm': 0.24437084794044495, 'learning_rate': 0.0005571477098950832, 'epoch': 7.24}

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{'loss': 3.0883, 'grad_norm': 0.23997849225997925, 'learning_rate': 0.0005530875344972343, 'epoch': 7.27}

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{'loss': 3.1066, 'grad_norm': 0.24145592749118805, 'learning_rate': 0.0005408868315969458, 'epoch': 7.37}

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{'loss': 3.123, 'grad_norm': 0.2371794730424881, 'learning_rate': 0.0005327389309464938, 'epoch': 7.44}

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                                                    {'loss': 3.1153, 'grad_norm': 0.2560423016548157, 'learning_rate': 0.0005286615665623071, 'epoch': 7.47}

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                                                    {'loss': 3.1173, 'grad_norm': 0.2390851080417633, 'learning_rate': 0.0005245822889824633, 'epoch': 7.5}

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                                                    {'loss': 3.1074, 'grad_norm': 0.23216357827186584, 'learning_rate': 0.0005164190835329964, 'epoch': 7.57}

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{'loss': 3.1291, 'grad_norm': 0.2362573891878128, 'learning_rate': 0.0005123357005676156, 'epoch': 7.6}

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                                                    {'loss': 3.1174, 'grad_norm': 0.2580942213535309, 'learning_rate': 0.0005000817016706441, 'epoch': 7.7}


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                                                    {'loss': 3.1312, 'grad_norm': 0.2439260333776474, 'learning_rate': 0.0004959966608954618, 'epoch': 7.73}


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                                                    {'loss': 3.1286, 'grad_norm': 0.23054377734661102, 'learning_rate': 0.0004919118873482054, 'epoch': 7.77}


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                                                    {'loss': 3.1221, 'grad_norm': 0.23919031023979187, 'learning_rate': 0.0004878276536926525, 'epoch': 7.8}

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{'loss': 3.1321, 'grad_norm': 0.23997634649276733, 'learning_rate': 0.0004837442325565422, 'epoch': 7.83}

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{'loss': 3.1317, 'grad_norm': 0.23523938655853271, 'learning_rate': 0.00047966189651337725, 'epoch': 7.86}

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                                                    {'loss': 3.1319, 'grad_norm': 0.24326053261756897, 'learning_rate': 0.0004755809180642286, 'epoch': 7.9}

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{'loss': 3.1293, 'grad_norm': 0.24150241911411285, 'learning_rate': 0.00047150156961954607, 'epoch': 7.93}

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{'loss': 3.1476, 'grad_norm': 0.23502451181411743, 'learning_rate': 0.0004674241234809751, 'epoch': 7.96}

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{'loss': 3.1364, 'grad_norm': 0.2349269986152649, 'learning_rate': 0.0004633488518231793, 'epoch': 7.99}

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{'loss': 2.9764, 'grad_norm': 0.24394837021827698, 'learning_rate': 0.00045520591990466365, 'epoch': 8.06}

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{'loss': 2.9809, 'grad_norm': 0.2511293888092041, 'learning_rate': 0.00045113880319490264, 'epoch': 8.09}

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{'loss': 3.0138, 'grad_norm': 0.24302756786346436, 'learning_rate': 0.0004389581071780553, 'epoch': 8.19}

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{'loss': 3.0159, 'grad_norm': 0.2474428415298462, 'learning_rate': 0.0004349056632972576, 'epoch': 8.22}

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{'loss': 3.0157, 'grad_norm': 0.24925704300403595, 'learning_rate': 0.0004268140811381641, 'epoch': 8.29}

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{'loss': 3.0302, 'grad_norm': 0.25871190428733826, 'learning_rate': 0.0004187420396619156, 'epoch': 8.36}

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                                                    {'loss': 3.0287, 'grad_norm': 0.2512751817703247, 'learning_rate': 0.00041471402041183287, 'epoch': 8.39}

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{'loss': 3.0396, 'grad_norm': 0.2501823902130127, 'learning_rate': 0.0004106916941082745, 'epoch': 8.42}

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{'loss': 3.0378, 'grad_norm': 0.2469087541103363, 'learning_rate': 0.0004066753292465861, 'epoch': 8.45}

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{'loss': 3.0389, 'grad_norm': 0.25336769223213196, 'learning_rate': 0.00039866155582263653, 'epoch': 8.52}

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{'loss': 3.0401, 'grad_norm': 0.24427099525928497, 'learning_rate': 0.0003906748398221429, 'epoch': 8.58}

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                                                      {'loss': 3.0545, 'grad_norm': 0.24787084758281708, 'learning_rate': 0.00038669229504654146, 'epoch': 8.62}


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                                                      {'loss': 3.0406, 'grad_norm': 0.254435271024704, 'learning_rate': 0.0003787501611262762, 'epoch': 8.68}

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                                                      {'loss': 3.0475, 'grad_norm': 0.24349002540111542, 'learning_rate': 0.0003747911021290519, 'epoch': 8.72}


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{'loss': 3.0526, 'grad_norm': 0.2444012314081192, 'learning_rate': 0.00036296512652851323, 'epoch': 8.81}

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                                                      {'loss': 3.0678, 'grad_norm': 0.24362532794475555, 'learning_rate': 0.00035904107890373196, 'epoch': 8.85}

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                                                      {'loss': 3.0635, 'grad_norm': 0.2554400861263275, 'learning_rate': 0.00035122147251762554, 'epoch': 8.91}


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                                                      {'loss': 3.0555, 'grad_norm': 0.23974433541297913, 'learning_rate': 0.00034732643572487243, 'epoch': 8.94}

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{'loss': 2.9095, 'grad_norm': 0.25806859135627747, 'learning_rate': 0.0003357035088382997, 'epoch': 9.04}

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{'loss': 2.9216, 'grad_norm': 0.24871188402175903, 'learning_rate': 0.0003318507897585944, 'epoch': 9.08}

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{'loss': 2.9227, 'grad_norm': 0.25545671582221985, 'learning_rate': 0.0003280092948503962, 'epoch': 9.11}

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{'loss': 2.9403, 'grad_norm': 0.25629252195358276, 'learning_rate': 0.00032417928053832723, 'epoch': 9.14}

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                                                      {'loss': 2.9346, 'grad_norm': 0.25121140480041504, 'learning_rate': 0.0003203610024806651, 'epoch': 9.17}


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                                                      {'loss': 2.9353, 'grad_norm': 0.24725943803787231, 'learning_rate': 0.0003165547155522783, 'epoch': 9.21}

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{'loss': 2.942, 'grad_norm': 0.2586934566497803, 'learning_rate': 0.0003127606738276115, 'epoch': 9.24}

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                                                      {'loss': 2.9491, 'grad_norm': 0.25291794538497925, 'learning_rate': 0.00030897913056372755, 'epoch': 9.27}


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{'loss': 2.961, 'grad_norm': 0.27101194858551025, 'learning_rate': 0.00030521033818340054, 'epoch': 9.31}

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                                                      {'loss': 2.9554, 'grad_norm': 0.24873122572898865, 'learning_rate': 0.0003014545482582672, 'epoch': 9.34}

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                                                      {'loss': 2.9582, 'grad_norm': 0.25717785954475403, 'learning_rate': 0.0002977120114920343, 'epoch': 9.37}

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                                                      {'loss': 2.9682, 'grad_norm': 0.2532918155193329, 'learning_rate': 0.00029398297770374336, 'epoch': 9.4}

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{'loss': 2.9571, 'grad_norm': 0.252511590719223, 'learning_rate': 0.0002902676958110948, 'epoch': 9.44}

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{'loss': 2.9615, 'grad_norm': 0.25531962513923645, 'learning_rate': 0.0002865664138138335, 'epoch': 9.47}

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{'loss': 2.9668, 'grad_norm': 0.2540636658668518, 'learning_rate': 0.0002828793787771929, 'epoch': 9.5}

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                                                      {'loss': 2.9654, 'grad_norm': 0.2539808750152588, 'learning_rate': 0.0002755490330752679, 'epoch': 9.57}

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                                                      {'loss': 2.9715, 'grad_norm': 0.2473004013299942, 'learning_rate': 0.00026827861591187944, 'epoch': 9.63}

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                                                      {'loss': 2.9748, 'grad_norm': 0.25318238139152527, 'learning_rate': 0.00026466648779812794, 'epoch': 9.67}

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                                                      {'loss': 2.9815, 'grad_norm': 0.25437864661216736, 'learning_rate': 0.00025748959806091423, 'epoch': 9.73}

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{'loss': 2.9857, 'grad_norm': 0.2643930912017822, 'learning_rate': 0.00025392531550387867, 'epoch': 9.76}

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                                                      {'loss': 2.976, 'grad_norm': 0.2564215362071991, 'learning_rate': 0.00024333196878634163, 'epoch': 9.86}

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{'loss': 2.9717, 'grad_norm': 0.24984772503376007, 'learning_rate': 0.00023983480588813622, 'epoch': 9.9}

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{'loss': 2.9936, 'grad_norm': 0.25336384773254395, 'learning_rate': 0.00023289281143540065, 'epoch': 9.96}

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{'loss': 2.8796, 'grad_norm': 0.25495854020118713, 'learning_rate': 0.00022602213475715589, 'epoch': 10.03}

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{'loss': 2.8655, 'grad_norm': 0.2602178454399109, 'learning_rate': 0.00021922461032806601, 'epoch': 10.09}

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{'loss': 2.8756, 'grad_norm': 0.25562283396720886, 'learning_rate': 0.00020916944887928359, 'epoch': 10.19}

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{'loss': 2.9035, 'grad_norm': 0.2571118175983429, 'learning_rate': 0.00020256270153176371, 'epoch': 10.26}

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                                                      {'loss': 2.8924, 'grad_norm': 0.2547738254070282, 'learning_rate': 0.00019928899940476624, 'epoch': 10.29}

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                                                      {'loss': 2.8933, 'grad_norm': 0.25647804141044617, 'learning_rate': 0.00019603537011569566, 'epoch': 10.32}

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{'loss': 2.8934, 'grad_norm': 0.26349493861198425, 'learning_rate': 0.0001928020308484042, 'epoch': 10.35}

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{'loss': 2.8971, 'grad_norm': 0.26005521416664124, 'learning_rate': 0.00018958919743235897, 'epoch': 10.39}

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{'loss': 2.9013, 'grad_norm': 0.2561109662055969, 'learning_rate': 0.0001863970843282357, 'epoch': 10.42}

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{'loss': 2.8975, 'grad_norm': 0.25311279296875, 'learning_rate': 0.00018007586996870206, 'epoch': 10.48}

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{'loss': 2.9023, 'grad_norm': 0.2608755826950073, 'learning_rate': 0.00017694719066230924, 'epoch': 10.52}

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                                                      {'loss': 2.9098, 'grad_norm': 0.25940653681755066, 'learning_rate': 0.00017384007553770858, 'epoch': 10.55}

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                                                      {'loss': 2.908, 'grad_norm': 0.2599470317363739, 'learning_rate': 0.00016163138305256598, 'epoch': 10.68}

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{'loss': 2.9122, 'grad_norm': 0.26392728090286255, 'learning_rate': 0.00015566174472640188, 'epoch': 10.75}

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{'loss': 2.9153, 'grad_norm': 0.2551511228084564, 'learning_rate': 0.0001527113038415231, 'epoch': 10.78}

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                                                      {'loss': 2.9052, 'grad_norm': 0.2578834891319275, 'learning_rate': 0.00014978404491439802, 'epoch': 10.81}

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{'loss': 2.9171, 'grad_norm': 0.25301486253738403, 'learning_rate': 0.0001355022636953933, 'epoch': 10.98}

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{'loss': 2.8933, 'grad_norm': 0.25666317343711853, 'learning_rate': 0.0001327181448103661, 'epoch': 11.01}

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                                                      {'loss': 2.8097, 'grad_norm': 0.2561839520931244, 'learning_rate': 0.00012995854245163207, 'epoch': 11.04}

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                                                      {'loss': 2.8147, 'grad_norm': 0.25796064734458923, 'learning_rate': 0.0001272236408261237, 'epoch': 11.07}

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                                                      {'loss': 2.8329, 'grad_norm': 0.26349201798439026, 'learning_rate': 0.00011916895761319264, 'epoch': 11.17}

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                                                      {'loss': 2.84, 'grad_norm': 0.2594582736492157, 'learning_rate': 0.00010878607406363367, 'epoch': 11.3}

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                                                      {'loss': 2.8389, 'grad_norm': 0.2594361901283264, 'learning_rate': 0.00010625520936593375, 'epoch': 11.34}


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{'loss': 2.8429, 'grad_norm': 0.26749858260154724, 'learning_rate': 0.0001037506276287885, 'epoch': 11.37}

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                                                      {'loss': 2.8484, 'grad_norm': 0.2618108093738556, 'learning_rate': 0.0001012724960361826, 'epoch': 11.4}

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                                                      {'loss': 2.8433, 'grad_norm': 0.2612670063972473, 'learning_rate': 9.639624318158335e-05, 'epoch': 11.47}

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                                                      {'loss': 2.8472, 'grad_norm': 0.2612721920013428, 'learning_rate': 9.162775276448015e-05, 'epoch': 11.53}

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                                                      {'loss': 2.8441, 'grad_norm': 0.2599092125892639, 'learning_rate': 8.928431747505355e-05, 'epoch': 11.57}

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                                                      {'loss': 2.8511, 'grad_norm': 0.26237526535987854, 'learning_rate': 8.6968297974584e-05, 'epoch': 11.6}

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                                                      {'loss': 2.8495, 'grad_norm': 0.2622942328453064, 'learning_rate': 8.467984886028967e-05, 'epoch': 11.63}

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{'loss': 2.8523, 'grad_norm': 0.2599095404148102, 'learning_rate': 8.018627096711106e-05, 'epoch': 11.7}

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{'loss': 2.8561, 'grad_norm': 0.26534682512283325, 'learning_rate': 7.798144214020909e-05, 'epoch': 11.73}

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                                                      {'loss': 2.8555, 'grad_norm': 0.26069319248199463, 'learning_rate': 7.365644059145782e-05, 'epoch': 11.8}


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{'loss': 2.8524, 'grad_norm': 0.26198527216911316, 'learning_rate': 6.94452730207023e-05, 'epoch': 11.86}

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                                                      {'loss': 2.8492, 'grad_norm': 0.2603200376033783, 'learning_rate': 6.738272954265156e-05, 'epoch': 11.89}

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                                                      {'loss': 2.8591, 'grad_norm': 0.25908002257347107, 'learning_rate': 6.334441157888504e-05, 'epoch': 11.96}


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{'loss': 2.868, 'grad_norm': 0.26225173473358154, 'learning_rate': 6.1368906655978e-05, 'epoch': 11.99}

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{'loss': 2.8099, 'grad_norm': 0.2629103660583496, 'learning_rate': 5.94226809108499e-05, 'epoch': 12.02}

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{'loss': 2.7927, 'grad_norm': 0.26096153259277344, 'learning_rate': 5.7505864256519716e-05, 'epoch': 12.06}

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                                                      {'loss': 2.7998, 'grad_norm': 0.2620319128036499, 'learning_rate': 5.3760968048319145e-05, 'epoch': 12.12}

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                                                      {'loss': 2.8032, 'grad_norm': 0.25974202156066895, 'learning_rate': 4.836732641133895e-05, 'epoch': 12.22}

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{'loss': 2.7952, 'grad_norm': 0.260550320148468, 'learning_rate': 4.492210053786228e-05, 'epoch': 12.29}

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                                                      {'loss': 2.81, 'grad_norm': 0.26355794072151184, 'learning_rate': 4.3244996147050855e-05, 'epoch': 12.32}

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                                                      {'loss': 2.8002, 'grad_norm': 0.2632872462272644, 'learning_rate': 4.1598380727865315e-05, 'epoch': 12.35}

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{'loss': 2.8, 'grad_norm': 0.2608312964439392, 'learning_rate': 3.839705441646779e-05, 'epoch': 12.42}

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                                                      {'loss': 2.8097, 'grad_norm': 0.2629110813140869, 'learning_rate': 3.531897635965431e-05, 'epoch': 12.48}

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                                                      {'loss': 2.8177, 'grad_norm': 0.26221880316734314, 'learning_rate': 3.382641354591731e-05, 'epoch': 12.52}

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{'loss': 2.8089, 'grad_norm': 0.26071804761886597, 'learning_rate': 3.093473849336781e-05, 'epoch': 12.58}

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{'loss': 2.8101, 'grad_norm': 0.2636934220790863, 'learning_rate': 2.9535819277506203e-05, 'epoch': 12.61}

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                                                      {'loss': 2.8074, 'grad_norm': 0.2595975995063782, 'learning_rate': 2.8168304138088295e-05, 'epoch': 12.65}


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{'loss': 2.8041, 'grad_norm': 0.25956180691719055, 'learning_rate': 2.4255085494343522e-05, 'epoch': 12.75}

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{'loss': 2.8088, 'grad_norm': 0.26079362630844116, 'learning_rate': 2.301407844110154e-05, 'epoch': 12.78}

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                                                      {'loss': 2.8186, 'grad_norm': 0.2622942328453064, 'learning_rate': 2.1804910798715826e-05, 'epoch': 12.81}

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{'loss': 2.8062, 'grad_norm': 0.2626664638519287, 'learning_rate': 2.0627663280649135e-05, 'epoch': 12.84}

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{'loss': 2.8171, 'grad_norm': 0.2623179852962494, 'learning_rate': 1.7288216615031272e-05, 'epoch': 12.94}

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{'loss': 2.8012, 'grad_norm': 0.25953999161720276, 'learning_rate': 1.5222903086944684e-05, 'epoch': 13.01}

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                                                      {'loss': 2.7863, 'grad_norm': 0.2605855166912079, 'learning_rate': 1.4238751618640577e-05, 'epoch': 13.04}


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                                                      {'loss': 2.7725, 'grad_norm': 0.258526474237442, 'learning_rate': 1.3287025325307511e-05, 'epoch': 13.07}

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                                                       {'loss': 2.7821, 'grad_norm': 0.2601000666618347, 'learning_rate': 1.0627021937013704e-05, 'epoch': 13.17}


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                                                       {'loss': 2.7772, 'grad_norm': 0.2605122923851013, 'learning_rate': 9.805609925895964e-06, 'epoch': 13.2}

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{'loss': 2.7744, 'grad_norm': 0.26445287466049194, 'learning_rate': 8.261001828055447e-06, 'epoch': 13.27}

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{'loss': 2.7754, 'grad_norm': 0.261570543050766, 'learning_rate': 6.190386348572108e-06, 'epoch': 13.37}

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{'loss': 2.7881, 'grad_norm': 0.26293087005615234, 'learning_rate': 5.56604678228706e-06, 'epoch': 13.4}

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                                                       {'loss': 2.7732, 'grad_norm': 0.25958919525146484, 'learning_rate': 3.891208300917604e-06, 'epoch': 13.5}

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{'loss': 2.7855, 'grad_norm': 0.26043546199798584, 'learning_rate': 2.5143995351817882e-06, 'epoch': 13.6}

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                                                       {'loss': 2.7878, 'grad_norm': 0.25981855392456055, 'learning_rate': 2.1218402281655835e-06, 'epoch': 13.63}

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                                                       {'loss': 2.784, 'grad_norm': 0.25831174850463867, 'learning_rate': 1.4364475817401635e-06, 'epoch': 13.7}


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                                                       {'loss': 2.7768, 'grad_norm': 0.26020318269729614, 'learning_rate': 8.841716933915555e-07, 'epoch': 13.76}


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                                                       {'loss': 2.7837, 'grad_norm': 0.26167574524879456, 'learning_rate': 4.651600211027507e-07, 'epoch': 13.83}


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                                                       {'loss': 2.788, 'grad_norm': 0.26222410798072815, 'learning_rate': 8.674791042273533e-08, 'epoch': 13.93}


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                                                       {'loss': 2.7837, 'grad_norm': 0.2600068151950836, 'learning_rate': 1.3083313863404555e-09, 'epoch': 13.99}


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{'train_runtime': 5941.9145, 'train_samples_per_second': 1840.826, 'train_steps_per_second': 1.798, 'train_loss': 3.3962442974454117, 'epoch': 14.0}

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