diff --git "a/train_job_output.txt" "b/train_job_output.txt"
--- "a/train_job_output.txt"
+++ "b/train_job_output.txt"
@@ -1,4 +1,4 @@
-slurm submission log: 2024-05-13 22:25:16.975668
+slurm submission log: 2024-05-17 11:42:20.474744
 created following sbatch script: 
 
 ###############################
@@ -7,24 +7,24 @@ created following sbatch script:
 
 #SBATCH --account=nlp
 #SBATCH --cpus-per-task=16
-#SBATCH --dependency=afterok:7608406
+#SBATCH --dependency=afterok:7625431
 #SBATCH --gres=gpu:2
-#SBATCH --job-name=tthrush-job-4542903
+#SBATCH --job-name=tthrush-job-4361722
 #SBATCH --mem=400G
 #SBATCH --nodelist=sphinx2
 #SBATCH --open-mode=append
-#SBATCH --output=/juice5/scr5/tthrush/pretraining-coreset-selection/llm_pretraining/llms_basic/pythia-70m_lambada/train_job_output.txt
+#SBATCH --output=/juice5/scr5/tthrush/pretraining-coreset-selection/llm_pretraining/llms_more_data/pythia-70m_lambada/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
+. /nlp/scr/tthrush/miniconda3/envs/pretraining-coreset-selection/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 29506 --nproc_per_node=2 train_llm.py --dataset_id /juice5/scr5/tthrush/pretraining-coreset-selection/llm_pretraining/train_data_basic/lambada --output_dir /juice5/scr5/tthrush/pretraining-coreset-selection/llm_pretraining/llms_basic/pythia-70m_lambada --output_hub_id pythia-70m_lambada --model_id EleutherAI/pythia-70m --num_train_epochs 14 --learning_rate 1e-3 --warmup_ratio=0.1 --gradient_accumulation_steps 2'
+srun --unbuffered run_as_child_processes 'torchrun --master_port 29506 --nproc_per_node=2 train_llm.py --dataset_id /juice5/scr5/tthrush/pretraining-coreset-selection/llm_pretraining/train_data_more_data/lambada --output_dir /juice5/scr5/tthrush/pretraining-coreset-selection/llm_pretraining/llms_more_data/pythia-70m_lambada --output_hub_id pythia-70m_lambada --model_id EleutherAI/pythia-70m --num_train_epochs 1 --learning_rate 1e-3 --warmup_ratio=0.1 --gradient_accumulation_steps 2'
 
 ###############################
 
@@ -34,461 +34,481 @@ submission to slurm complete!
 ###############################
 slurm submission output
 
-Submitted batch job 7608407
+Submitted batch job 7625432
 
 
 
 ###############################
 
+/var/lib/slurm/slurmd/job7625432/slurm_script: line 16: /nlp/scr/tthrush/miniconda3/envs/pretraining-coreset-selection/etc/profile.d/conda.sh: No such file or directory
+
+CommandNotFoundError: Your shell has not been properly configured to use 'conda activate'.
+To initialize your shell, run
+
+    $ conda init <SHELL_NAME>
+
+Currently supported shells are:
+  - bash
+  - fish
+  - tcsh
+  - xonsh
+  - zsh
+  - powershell
+
+See 'conda init --help' for more information and options.
+
+IMPORTANT: You may need to close and restart your shell after running 'conda init'.
+
+
 ###############################
-start time: 2024-05-14 03:07:22.154087
+start time: 2024-05-18 00:12:23.054910
 machine: sphinx2
 conda env: pretraining-coreset-selection
 ###############################
 running following processes
 
-	torchrun --master_port 29506 --nproc_per_node=2 train_llm.py --dataset_id /juice5/scr5/tthrush/pretraining-coreset-selection/llm_pretraining/train_data_basic/lambada --output_dir /juice5/scr5/tthrush/pretraining-coreset-selection/llm_pretraining/llms_basic/pythia-70m_lambada --output_hub_id pythia-70m_lambada --model_id EleutherAI/pythia-70m --num_train_epochs 14 --learning_rate 1e-3 --warmup_ratio=0.1 --gradient_accumulation_steps 2
+	torchrun --master_port 29506 --nproc_per_node=2 train_llm.py --dataset_id /juice5/scr5/tthrush/pretraining-coreset-selection/llm_pretraining/train_data_more_data/lambada --output_dir /juice5/scr5/tthrush/pretraining-coreset-selection/llm_pretraining/llms_more_data/pythia-70m_lambada --output_hub_id pythia-70m_lambada --model_id EleutherAI/pythia-70m --num_train_epochs 1 --learning_rate 1e-3 --warmup_ratio=0.1 --gradient_accumulation_steps 2
 
 
 ###############################
 command outputs: 
 
 
-[2024-05-14 03:07:29,791] torch.distributed.run: [WARNING] 
-[2024-05-14 03:07:29,791] torch.distributed.run: [WARNING] *****************************************
-[2024-05-14 03:07:29,791] 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 03:07:29,791] 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/lambada', output_dir='/juice5/scr5/tthrush/pretraining-coreset-selection/llm_pretraining/llms_basic/pythia-70m_lambada', output_hub_id='pythia-70m_lambada', 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/lambada', output_dir='/juice5/scr5/tthrush/pretraining-coreset-selection/llm_pretraining/llms_basic/pythia-70m_lambada', output_hub_id='pythia-70m_lambada', 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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-[rank0]:[W reducer.cpp:1360] Warning: find_unused_parameters=True was specified in DDP constructor, but did not find any unused parameters in the forward pass. This flag results in an extra traversal of the autograd graph every iteration,  which can adversely affect performance. If your model indeed never has any unused parameters in the forward pass, consider turning this flag off. Note that this warning may be a false positive if your model has flow control causing later iterations to have unused parameters. (function operator())
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{'loss': 10.6608, 'grad_norm': 1.3869956731796265, 'learning_rate': 2.3386342376052384e-05, 'epoch': 0.03}
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-
                                                    

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{'loss': 9.2331, 'grad_norm': 1.1144205331802368, 'learning_rate': 7.015902712815715e-05, 'epoch': 0.1}
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{'loss': 8.4427, 'grad_norm': 0.8195424675941467, 'learning_rate': 9.354536950420954e-05, 'epoch': 0.13}
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                                                     {'loss': 7.7906, 'grad_norm': 0.4837629795074463, 'learning_rate': 0.00011693171188026193, 'epoch': 0.16}
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{'loss': 7.3088, 'grad_norm': 0.5318506956100464, 'learning_rate': 0.0001403180542563143, 'epoch': 0.2}
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                                                     {'loss': 6.8934, 'grad_norm': 0.41131341457366943, 'learning_rate': 0.00016370439663236668, 'epoch': 0.23}
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{'loss': 6.5356, 'grad_norm': 0.5325525403022766, 'learning_rate': 0.00018709073900841907, 'epoch': 0.26}
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                                                     {'loss': 6.0641, 'grad_norm': 0.664199709892273, 'learning_rate': 0.00023386342376052386, 'epoch': 0.33}
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{'loss': 5.6214, 'grad_norm': 0.7320352792739868, 'learning_rate': 0.00030402245088868103, 'epoch': 0.43}
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{'loss': 5.5113, 'grad_norm': 0.6104658842086792, 'learning_rate': 0.00032740879326473337, 'epoch': 0.46}
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{'loss': 5.3179, 'grad_norm': 0.6563537120819092, 'learning_rate': 0.00037418147801683815, 'epoch': 0.52}
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{'loss': 5.156, 'grad_norm': 0.6822566986083984, 'learning_rate': 0.00042095416276894293, 'epoch': 0.59}
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                                                     {'loss': 5.0844, 'grad_norm': 0.5810084342956543, 'learning_rate': 0.0004443405051449954, 'epoch': 0.62}
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                                                     {'loss': 5.0179, 'grad_norm': 0.7091294527053833, 'learning_rate': 0.0004677268475210477, 'epoch': 0.66}
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{'loss': 4.8969, 'grad_norm': 0.6236402988433838, 'learning_rate': 0.0005144995322731525, 'epoch': 0.72}
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                                                     {'loss': 4.8063, 'grad_norm': 0.48572197556495667, 'learning_rate': 0.0005612722170252572, 'epoch': 0.79}
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                                                     {'loss': 4.758, 'grad_norm': 0.5485813617706299, 'learning_rate': 0.0005846585594013096, 'epoch': 0.82}
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{'loss': 4.6818, 'grad_norm': 0.47154542803764343, 'learning_rate': 0.0006314312441534145, 'epoch': 0.88}
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                                                     {'loss': 4.6438, 'grad_norm': 0.4610711336135864, 'learning_rate': 0.0006548175865294667, 'epoch': 0.92}
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  7%|▋         | 750/10682 [08:01<1:22:11,  2.01it/s]{'loss': 4.5735, 'grad_norm': 0.44774675369262695, 'learning_rate': 0.0007015902712815716, 'epoch': 0.98}
                                                     
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                                                     {'loss': 4.5249, 'grad_norm': 0.44595780968666077, 'learning_rate': 0.0007249766136576241, 'epoch': 1.02}
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{'loss': 4.4732, 'grad_norm': 0.4476442337036133, 'learning_rate': 0.0007483629560336763, 'epoch': 1.05}
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{'loss': 4.4584, 'grad_norm': 0.4380960464477539, 'learning_rate': 0.0007717492984097287, 'epoch': 1.08}
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                                                     {'loss': 4.4392, 'grad_norm': 0.3748084604740143, 'learning_rate': 0.0007951356407857812, 'epoch': 1.11}
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{'loss': 4.3726, 'grad_norm': 0.45552974939346313, 'learning_rate': 0.0008652946679139383, 'epoch': 1.21}
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                                                     {'loss': 4.3385, 'grad_norm': 0.41811883449554443, 'learning_rate': 0.000912067352666043, 'epoch': 1.28}
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                                                      {'loss': 4.3196, 'grad_norm': 0.35579362511634827, 'learning_rate': 0.0009354536950420954, 'epoch': 1.31}
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                                                      {'loss': 4.2917, 'grad_norm': 0.33728379011154175, 'learning_rate': 0.0009822263797942, 'epoch': 1.38}
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                                                      {'loss': 4.2697, 'grad_norm': 0.3390866816043854, 'learning_rate': 0.0009999990387768293, 'epoch': 1.41}
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                                                      {'loss': 4.2609, 'grad_norm': 0.33891916275024414, 'learning_rate': 0.0009999743408927195, 'epoch': 1.44}
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                                                      {'loss': 4.2375, 'grad_norm': 0.3190712034702301, 'learning_rate': 0.0009999162690918172, 'epoch': 1.47}
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                                                      {'loss': 4.153, 'grad_norm': 0.282619446516037, 'learning_rate': 0.0009991255149608528, 'epoch': 1.64}
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{'loss': 4.1205, 'grad_norm': 0.2843641936779022, 'learning_rate': 0.0009985759030302366, 'epoch': 1.7}
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{'loss': 4.1018, 'grad_norm': 0.2806658446788788, 'learning_rate': 0.0009982511664834452, 'epoch': 1.74}
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{'loss': 4.0907, 'grad_norm': 0.260347455739975, 'learning_rate': 0.0009978931710439229, 'epoch': 1.77}
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{'loss': 4.0702, 'grad_norm': 0.2694912254810333, 'learning_rate': 0.000997501940608316, 'epoch': 1.8}
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{'loss': 4.0589, 'grad_norm': 0.27038079500198364, 'learning_rate': 0.0009970775012917489, 'epoch': 1.83}
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{'loss': 4.0219, 'grad_norm': 0.26964136958122253, 'learning_rate': 0.0009956052244470509, 'epoch': 1.93}
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                                                      {'loss': 4.0063, 'grad_norm': 0.2787397801876068, 'learning_rate': 0.0009944582405852314, 'epoch': 2.0}
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{'loss': 3.8882, 'grad_norm': 0.2515488862991333, 'learning_rate': 0.0009938352203969901, 'epoch': 2.03}
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                                                      {'loss': 3.8794, 'grad_norm': 0.2619628310203552, 'learning_rate': 0.0009910139472784174, 'epoch': 2.16}
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                                                      {'loss': 3.8581, 'grad_norm': 0.24596534669399261, 'learning_rate': 0.0009876683051274124, 'epoch': 2.29}
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{'loss': 3.8509, 'grad_norm': 0.2709936201572418, 'learning_rate': 0.0009867503683768772, 'epoch': 2.33}
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                                                      {'loss': 3.8357, 'grad_norm': 0.23658081889152527, 'learning_rate': 0.0009848170847181403, 'epoch': 2.39}
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{'loss': 3.8432, 'grad_norm': 0.24300767481327057, 'learning_rate': 0.0009838018668590573, 'epoch': 2.42}
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{'loss': 3.8367, 'grad_norm': 0.24927733838558197, 'learning_rate': 0.0009816746179122904, 'epoch': 2.49}
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{'loss': 3.8187, 'grad_norm': 0.23911990225315094, 'learning_rate': 0.0009794187615627694, 'epoch': 2.56}
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{'loss': 3.8262, 'grad_norm': 0.23642364144325256, 'learning_rate': 0.0009782427924983968, 'epoch': 2.59}
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{'loss': 3.8121, 'grad_norm': 0.23651717603206635, 'learning_rate': 0.0009757951650722661, 'epoch': 2.65}
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{'loss': 3.808, 'grad_norm': 0.23940086364746094, 'learning_rate': 0.0009745236700927205, 'epoch': 2.69}
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{'loss': 3.7954, 'grad_norm': 0.2549842596054077, 'learning_rate': 0.0009732205000607044, 'epoch': 2.72}
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                                                      {'loss': 3.7858, 'grad_norm': 0.23318906128406525, 'learning_rate': 0.000971885741964458, 'epoch': 2.75}
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                                                      {'loss': 3.7917, 'grad_norm': 0.22143860161304474, 'learning_rate': 0.0009691218200690053, 'epoch': 2.82}
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                                                      {'loss': 3.7843, 'grad_norm': 0.26242032647132874, 'learning_rate': 0.0009662326423751136, 'epoch': 2.88}
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                                                      {'loss': 3.7625, 'grad_norm': 0.24549348652362823, 'learning_rate': 0.0009632189802949055, 'epoch': 2.95}
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                                                      {'loss': 3.6208, 'grad_norm': 0.2509158253669739, 'learning_rate': 0.00095846684815675, 'epoch': 3.05}
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{'loss': 3.63, 'grad_norm': 0.23662741482257843, 'learning_rate': 0.0009568214545962046, 'epoch': 3.08}
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{'loss': 3.6248, 'grad_norm': 0.2622312903404236, 'learning_rate': 0.0009534392991207893, 'epoch': 3.15}
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{'loss': 3.6314, 'grad_norm': 0.2283220738172531, 'learning_rate': 0.0009517027629690559, 'epoch': 3.18}
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{'loss': 3.6371, 'grad_norm': 0.23657603561878204, 'learning_rate': 0.0009481393534096735, 'epoch': 3.24}
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{'loss': 3.633, 'grad_norm': 0.24709564447402954, 'learning_rate': 0.0009463127178640994, 'epoch': 3.28}
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                                                      {'loss': 3.6446, 'grad_norm': 0.24846026301383972, 'learning_rate': 0.0009444562903826375, 'epoch': 3.31}
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{'loss': 3.6487, 'grad_norm': 0.2416871339082718, 'learning_rate': 0.0009425701948841596, 'epoch': 3.34}
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{'loss': 3.6455, 'grad_norm': 0.23232042789459229, 'learning_rate': 0.0009387095054051274, 'epoch': 3.41}
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                                                      {'loss': 3.6357, 'grad_norm': 0.23453141748905182, 'learning_rate': 0.0009367351691304569, 'epoch': 3.44}
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                                                      {'loss': 3.6416, 'grad_norm': 0.22962385416030884, 'learning_rate': 0.0009347316802333359, 'epoch': 3.47}
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{'loss': 3.6413, 'grad_norm': 0.2294313609600067, 'learning_rate': 0.0009326991724491712, 'epoch': 3.51}
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                                                      {'loss': 3.6236, 'grad_norm': 0.23946262896060944, 'learning_rate': 0.0009221061660444758, 'epoch': 3.67}
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                                                      {'loss': 3.6434, 'grad_norm': 0.22921255230903625, 'learning_rate': 0.0009176707273677235, 'epoch': 3.74}
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                                                      {'loss': 3.6302, 'grad_norm': 0.24303573369979858, 'learning_rate': 0.0009108088507230948, 'epoch': 3.83}
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{'loss': 3.6339, 'grad_norm': 0.2309538722038269, 'learning_rate': 0.0009060969017710476, 'epoch': 3.9}
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{'loss': 3.6258, 'grad_norm': 0.21878878772258759, 'learning_rate': 0.000898826076718821, 'epoch': 4.0}
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                                                      {'loss': 3.485, 'grad_norm': 0.22421066462993622, 'learning_rate': 0.0008963490065844889, 'epoch': 4.03}
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{'loss': 3.4727, 'grad_norm': 0.24321778118610382, 'learning_rate': 0.000891315663043654, 'epoch': 4.1}
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                                                      {'loss': 3.4837, 'grad_norm': 0.24158702790737152, 'learning_rate': 0.0008861778379934982, 'epoch': 4.16}
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{'loss': 3.5046, 'grad_norm': 0.24039733409881592, 'learning_rate': 0.000883570172510888, 'epoch': 4.19}
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{'loss': 3.5039, 'grad_norm': 0.23230411112308502, 'learning_rate': 0.0008755942581046657, 'epoch': 4.29}
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{'loss': 3.5018, 'grad_norm': 0.23131251335144043, 'learning_rate': 0.0008701513290879668, 'epoch': 4.36}
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                                                    {'loss': 3.5151, 'grad_norm': 0.2368021011352539, 'learning_rate': 0.0008618020895222331, 'epoch': 4.46}
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                                                    {'loss': 3.5091, 'grad_norm': 0.23902443051338196, 'learning_rate': 0.0008589704588480251, 'epoch': 4.49}
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                                                    {'loss': 3.5256, 'grad_norm': 0.23666243255138397, 'learning_rate': 0.0008561148664436948, 'epoch': 4.52}
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{'loss': 3.5135, 'grad_norm': 0.2238636016845703, 'learning_rate': 0.0008532355029236307, 'epoch': 4.55}
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                                                    {'loss': 3.5215, 'grad_norm': 0.22576630115509033, 'learning_rate': 0.0008474062329147856, 'epoch': 4.62}
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{'loss': 3.5137, 'grad_norm': 0.22929444909095764, 'learning_rate': 0.0008384889004421422, 'epoch': 4.72}
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{'loss': 3.5047, 'grad_norm': 0.21690283715724945, 'learning_rate': 0.0008354710010840066, 'epoch': 4.75}
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{'loss': 3.5088, 'grad_norm': 0.2236255258321762, 'learning_rate': 0.0008324307086141438, 'epoch': 4.78}
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                                                    {'loss': 3.5179, 'grad_norm': 0.23237092792987823, 'learning_rate': 0.000829368225975904, 'epoch': 4.82}
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                                                    {'loss': 3.514, 'grad_norm': 0.22528541088104248, 'learning_rate': 0.0008200496886207818, 'epoch': 4.91}
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                                                    {'loss': 3.5028, 'grad_norm': 0.2258571982383728, 'learning_rate': 0.0008169005041617021, 'epoch': 4.95}
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                                                    {'loss': 3.5218, 'grad_norm': 0.24237461388111115, 'learning_rate': 0.0008137301661949477, 'epoch': 4.98}
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                                                    {'loss': 3.3478, 'grad_norm': 0.24176795780658722, 'learning_rate': 0.0008073268776325152, 'epoch': 5.05}
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{'loss': 3.3619, 'grad_norm': 0.22775647044181824, 'learning_rate': 0.0008040943544644116, 'epoch': 5.08}
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                                                    {'loss': 3.3715, 'grad_norm': 0.24152135848999023, 'learning_rate': 0.0007975686292149845, 'epoch': 5.14}
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{'loss': 3.3734, 'grad_norm': 0.23379719257354736, 'learning_rate': 0.0007942758627340383, 'epoch': 5.18}
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{'loss': 3.3939, 'grad_norm': 0.23993591964244843, 'learning_rate': 0.0007842805893115124, 'epoch': 5.28}
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{'loss': 3.4002, 'grad_norm': 0.22393018007278442, 'learning_rate': 0.0007706889573443467, 'epoch': 5.41}
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{'loss': 3.4122, 'grad_norm': 0.23344165086746216, 'learning_rate': 0.0007672453071565586, 'epoch': 5.44}
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{'loss': 3.4062, 'grad_norm': 0.24242348968982697, 'learning_rate': 0.0007637838180080183, 'epoch': 5.47}
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                                                    {'loss': 3.4117, 'grad_norm': 0.22648054361343384, 'learning_rate': 0.0007603047209574854, 'epoch': 5.5}
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                                                    {'loss': 3.4175, 'grad_norm': 0.2176920771598816, 'learning_rate': 0.0007568082482390682, 'epoch': 5.54}
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{'loss': 3.4165, 'grad_norm': 0.2465812712907791, 'learning_rate': 0.0007497641105186759, 'epoch': 5.6}
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{'loss': 3.4277, 'grad_norm': 0.24820786714553833, 'learning_rate': 0.0007462169157217631, 'epoch': 5.64}
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                                                    {'loss': 3.4124, 'grad_norm': 0.23785176873207092, 'learning_rate': 0.0007426532856357045, 'epoch': 5.67}
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                                                    {'loss': 3.414, 'grad_norm': 0.22894026339054108, 'learning_rate': 0.0007354776721845277, 'epoch': 5.73}
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{'loss': 3.4242, 'grad_norm': 0.2275644838809967, 'learning_rate': 0.0007318661678006427, 'epoch': 5.77}
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                                                    {'loss': 3.4104, 'grad_norm': 0.24190546572208405, 'learning_rate': 0.0007282391860581049, 'epoch': 5.8}
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{'loss': 3.4176, 'grad_norm': 0.23106974363327026, 'learning_rate': 0.0007245969690625126, 'epoch': 5.83}
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                                                    {'loss': 3.4238, 'grad_norm': 0.22489795088768005, 'learning_rate': 0.0007209397599364363, 'epoch': 5.87}
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{'loss': 3.4282, 'grad_norm': 0.23392973840236664, 'learning_rate': 0.0007135813427705359, 'epoch': 5.93}
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{'loss': 3.4188, 'grad_norm': 0.22306212782859802, 'learning_rate': 0.0007098806259143232, 'epoch': 5.96}
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{'loss': 3.4166, 'grad_norm': 0.23451775312423706, 'learning_rate': 0.0007061658992620613, 'epoch': 6.0}
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{'loss': 3.2687, 'grad_norm': 0.22925671935081482, 'learning_rate': 0.0006949401447322816, 'epoch': 6.09}
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                                                    {'loss': 3.2825, 'grad_norm': 0.23778265714645386, 'learning_rate': 0.0006835972829129873, 'epoch': 6.19}
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                                                    {'loss': 3.3167, 'grad_norm': 0.2377278059720993, 'learning_rate': 0.0006683030872510552, 'epoch': 6.32}
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{'loss': 3.31, 'grad_norm': 0.23522105813026428, 'learning_rate': 0.0006605875598609699, 'epoch': 6.39}
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                                                    {'loss': 3.3315, 'grad_norm': 0.24161836504936218, 'learning_rate': 0.0006411156890315328, 'epoch': 6.55}
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                                                    {'loss': 3.3392, 'grad_norm': 0.23424994945526123, 'learning_rate': 0.0006371920127491398, 'epoch': 6.59}
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                                                    {'loss': 3.3244, 'grad_norm': 0.2313149869441986, 'learning_rate': 0.0006293174494871916, 'epoch': 6.65}
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{'loss': 3.3208, 'grad_norm': 0.255684494972229, 'learning_rate': 0.0006253670881446494, 'epoch': 6.68}
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{'loss': 3.3354, 'grad_norm': 0.25219854712486267, 'learning_rate': 0.0006174415244767953, 'epoch': 6.75}
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{'loss': 3.3287, 'grad_norm': 0.24208495020866394, 'learning_rate': 0.0006134668511928376, 'epoch': 6.78}
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                                                    {'loss': 3.3377, 'grad_norm': 0.23990638554096222, 'learning_rate': 0.0006094846038536922, 'epoch': 6.82}
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                                                    {'loss': 3.3349, 'grad_norm': 0.23935970664024353, 'learning_rate': 0.000605495048279383, 'epoch': 6.85}
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{'loss': 3.339, 'grad_norm': 0.22046518325805664, 'learning_rate': 0.000597495078126763, 'epoch': 6.91}
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{'loss': 3.3377, 'grad_norm': 0.23450925946235657, 'learning_rate': 0.0005894690767316552, 'epoch': 6.98}
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{'loss': 3.1869, 'grad_norm': 0.23945337533950806, 'learning_rate': 0.0005814191870410933, 'epoch': 7.04}
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                                                    {'loss': 3.1858, 'grad_norm': 0.25370141863822937, 'learning_rate': 0.0005733475583803009, 'epoch': 7.11}
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                                                    {'loss': 3.1991, 'grad_norm': 0.23976677656173706, 'learning_rate': 0.0005693042652030427, 'epoch': 7.14}
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                                                    {'loss': 3.2186, 'grad_norm': 0.24498280882835388, 'learning_rate': 0.0005612040706113396, 'epoch': 7.21}
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                                                    {'loss': 3.212, 'grad_norm': 0.24251443147659302, 'learning_rate': 0.0005571477098950832, 'epoch': 7.24}
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{'loss': 3.2168, 'grad_norm': 0.2397901862859726, 'learning_rate': 0.0005530875344972343, 'epoch': 7.27}
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{'loss': 3.2266, 'grad_norm': 0.23452386260032654, 'learning_rate': 0.0005449568239805831, 'epoch': 7.34}
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{'loss': 3.2327, 'grad_norm': 0.24336078763008118, 'learning_rate': 0.0005408868315969458, 'epoch': 7.37}
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                                                    {'loss': 3.2319, 'grad_norm': 0.24419212341308594, 'learning_rate': 0.0005327389309464938, 'epoch': 7.44}
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{'loss': 3.2363, 'grad_norm': 0.23731857538223267, 'learning_rate': 0.0005286615665623071, 'epoch': 7.47}
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{'loss': 3.2437, 'grad_norm': 0.24264806509017944, 'learning_rate': 0.0005164190835329964, 'epoch': 7.57}
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{'loss': 3.2475, 'grad_norm': 0.2358948439359665, 'learning_rate': 0.0005123357005676156, 'epoch': 7.6}
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{'loss': 3.2467, 'grad_norm': 0.23201479017734528, 'learning_rate': 0.0005041667369921374, 'epoch': 7.67}
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{'loss': 3.2519, 'grad_norm': 0.23054754734039307, 'learning_rate': 0.0004959966608954618, 'epoch': 7.73}
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{'loss': 3.2566, 'grad_norm': 0.24792562425136566, 'learning_rate': 0.0004919118873482054, 'epoch': 7.77}
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                                                    {'loss': 3.2562, 'grad_norm': 0.22963321208953857, 'learning_rate': 0.0004878276536926525, 'epoch': 7.8}
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{'loss': 3.2572, 'grad_norm': 0.24495337903499603, 'learning_rate': 0.0004837442325565422, 'epoch': 7.83}
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{'loss': 3.2581, 'grad_norm': 0.2344634085893631, 'learning_rate': 0.0004755809180642286, 'epoch': 7.9}
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{'loss': 3.258, 'grad_norm': 0.26011475920677185, 'learning_rate': 0.0004674241234809751, 'epoch': 7.96}
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                                                    {'loss': 3.2602, 'grad_norm': 0.2336989939212799, 'learning_rate': 0.0004633488518231793, 'epoch': 7.99}
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                                                    {'loss': 3.1154, 'grad_norm': 0.24644501507282257, 'learning_rate': 0.00045520591990466365, 'epoch': 8.06}
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                                                    {'loss': 3.114, 'grad_norm': 0.24433524906635284, 'learning_rate': 0.00044707494803155137, 'epoch': 8.13}
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{'loss': 3.1307, 'grad_norm': 0.24798481166362762, 'learning_rate': 0.00044301462568205915, 'epoch': 8.16}
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                                                    {'loss': 3.1411, 'grad_norm': 0.24085108935832977, 'learning_rate': 0.00043085756454539745, 'epoch': 8.26}
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{'loss': 3.1546, 'grad_norm': 0.2396908700466156, 'learning_rate': 0.0004227754829831662, 'epoch': 8.32}
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{'loss': 3.1504, 'grad_norm': 0.25405558943748474, 'learning_rate': 0.0004187420396619156, 'epoch': 8.36}
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{'loss': 3.1625, 'grad_norm': 0.240742489695549, 'learning_rate': 0.00041471402041183287, 'epoch': 8.39}
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{'loss': 3.1594, 'grad_norm': 0.24850282073020935, 'learning_rate': 0.0004106916941082745, 'epoch': 8.42}
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{'loss': 3.1625, 'grad_norm': 0.2408168762922287, 'learning_rate': 0.0004066753292465861, 'epoch': 8.45}
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{'loss': 3.1597, 'grad_norm': 0.24355848133563995, 'learning_rate': 0.00040266519392417936, 'epoch': 8.49}
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{'loss': 3.1677, 'grad_norm': 0.23839376866817474, 'learning_rate': 0.0003946646821898418, 'epoch': 8.55}
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{'loss': 3.1706, 'grad_norm': 0.2455773502588272, 'learning_rate': 0.0003906748398221429, 'epoch': 8.58}
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{'loss': 3.1598, 'grad_norm': 0.24827314913272858, 'learning_rate': 0.00038669229504654146, 'epoch': 8.62}
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                                                      {'loss': 3.1784, 'grad_norm': 0.24110890924930573, 'learning_rate': 0.0003747911021290519, 'epoch': 8.72}
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                                                      {'loss': 3.1797, 'grad_norm': 0.24708110094070435, 'learning_rate': 0.0003708404009834161, 'epoch': 8.75}
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                                                      {'loss': 3.1764, 'grad_norm': 0.25567683577537537, 'learning_rate': 0.00036296512652851323, 'epoch': 8.81}
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                                                      {'loss': 3.1728, 'grad_norm': 0.23997929692268372, 'learning_rate': 0.00035122147251762554, 'epoch': 8.91}
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                                                      {'loss': 3.0366, 'grad_norm': 0.2504001557826996, 'learning_rate': 0.0003357035088382997, 'epoch': 9.04}
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{'loss': 3.0396, 'grad_norm': 0.24527712166309357, 'learning_rate': 0.0003318507897585944, 'epoch': 9.08}
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                                                      {'loss': 3.0482, 'grad_norm': 0.2459777593612671, 'learning_rate': 0.0003280092948503962, 'epoch': 9.11}
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                                                      {'loss': 3.0502, 'grad_norm': 0.2528582811355591, 'learning_rate': 0.00032417928053832723, 'epoch': 9.14}
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{'loss': 3.0612, 'grad_norm': 0.2566368281841278, 'learning_rate': 0.0003203610024806651, 'epoch': 9.17}
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                                                      {'loss': 3.0753, 'grad_norm': 0.2507952153682709, 'learning_rate': 0.0003165547155522783, 'epoch': 9.21}
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                                                      {'loss': 3.0686, 'grad_norm': 0.2603335678577423, 'learning_rate': 0.0003127606738276115, 'epoch': 9.24}
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{'loss': 3.0751, 'grad_norm': 0.25654336810112, 'learning_rate': 0.00030897913056372755, 'epoch': 9.27}
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{'loss': 3.0823, 'grad_norm': 0.25500109791755676, 'learning_rate': 0.00030521033818340054, 'epoch': 9.31}
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                                                      {'loss': 3.087, 'grad_norm': 0.2517438530921936, 'learning_rate': 0.0003014545482582672, 'epoch': 9.34}
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{'loss': 3.0817, 'grad_norm': 0.2455628663301468, 'learning_rate': 0.00029398297770374336, 'epoch': 9.4}
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{'loss': 3.0987, 'grad_norm': 0.248527392745018, 'learning_rate': 0.0002865664138138335, 'epoch': 9.47}
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{'loss': 3.0933, 'grad_norm': 0.24948042631149292, 'learning_rate': 0.0002828793787771929, 'epoch': 9.5}
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{'loss': 3.0939, 'grad_norm': 0.24918022751808167, 'learning_rate': 0.0002755490330752679, 'epoch': 9.57}
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{'loss': 3.0941, 'grad_norm': 0.2539394497871399, 'learning_rate': 0.0002719062117197888, 'epoch': 9.6}
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                                                      {'loss': 3.098, 'grad_norm': 0.2518790066242218, 'learning_rate': 0.00026466648779812794, 'epoch': 9.67}
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                                                      {'loss': 3.1041, 'grad_norm': 0.24459567666053772, 'learning_rate': 0.0002610700684926339, 'epoch': 9.7}
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                                                      {'loss': 3.1045, 'grad_norm': 0.24877110123634338, 'learning_rate': 0.00025392531550387867, 'epoch': 9.76}
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{'loss': 3.1046, 'grad_norm': 0.2510814666748047, 'learning_rate': 0.0002503774587418758, 'epoch': 9.8}
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                                                      {'loss': 3.0991, 'grad_norm': 0.2513992488384247, 'learning_rate': 0.00024684626459881156, 'epoch': 9.83}
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{'loss': 3.1109, 'grad_norm': 0.24976767599582672, 'learning_rate': 0.00023983480588813622, 'epoch': 9.9}
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                                                      {'loss': 3.1099, 'grad_norm': 0.2427770495414734, 'learning_rate': 0.00023635500934422239, 'epoch': 9.93}
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                                                      {'loss': 3.1103, 'grad_norm': 0.2489359974861145, 'learning_rate': 0.00022944844326774121, 'epoch': 9.99}
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                                                      {'loss': 2.9989, 'grad_norm': 0.26241400837898254, 'learning_rate': 0.00022602213475715589, 'epoch': 10.03}
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                                                      {'loss': 2.9894, 'grad_norm': 0.25086742639541626, 'learning_rate': 0.0002226141146140523, 'epoch': 10.06}
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                                                      {'loss': 2.9873, 'grad_norm': 0.25647252798080444, 'learning_rate': 0.00021922461032806601, 'epoch': 10.09}
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                                                      {'loss': 2.9922, 'grad_norm': 0.25269412994384766, 'learning_rate': 0.0002158538481528759, 'epoch': 10.12}
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                                                      {'loss': 2.9972, 'grad_norm': 0.2489054650068283, 'learning_rate': 0.00021250205309110155, 'epoch': 10.16}
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{'loss': 3.004, 'grad_norm': 0.252695232629776, 'learning_rate': 0.00020916944887928359, 'epoch': 10.19}
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                                                      {'loss': 3.012, 'grad_norm': 0.2545822262763977, 'learning_rate': 0.00020585625797294927, 'epoch': 10.22}
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{'loss': 3.0095, 'grad_norm': 0.25556299090385437, 'learning_rate': 0.00020256270153176371, 'epoch': 10.26}
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                                                      {'loss': 3.0044, 'grad_norm': 0.25416168570518494, 'learning_rate': 0.00019928899940476624, 'epoch': 10.29}
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{'loss': 3.018, 'grad_norm': 0.24888542294502258, 'learning_rate': 0.00019603537011569566, 'epoch': 10.32}
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                                                      {'loss': 3.0177, 'grad_norm': 0.2552645802497864, 'learning_rate': 0.0001928020308484042, 'epoch': 10.35}
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{'loss': 3.0276, 'grad_norm': 0.2640625834465027, 'learning_rate': 0.00018958919743235897, 'epoch': 10.39}
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                                                      {'loss': 3.0273, 'grad_norm': 0.26075422763824463, 'learning_rate': 0.0001863970843282357, 'epoch': 10.42}
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{'loss': 3.0258, 'grad_norm': 0.2546063959598541, 'learning_rate': 0.00018322590461360383, 'epoch': 10.45}
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{'loss': 3.0243, 'grad_norm': 0.2547115385532379, 'learning_rate': 0.00018007586996870206, 'epoch': 10.48}
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                                                      {'loss': 3.0255, 'grad_norm': 0.2556605041027069, 'learning_rate': 0.00017694719066230924, 'epoch': 10.52}
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{'loss': 3.0235, 'grad_norm': 0.2541995942592621, 'learning_rate': 0.00017384007553770858, 'epoch': 10.55}
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                                                      {'loss': 3.0334, 'grad_norm': 0.2559641897678375, 'learning_rate': 0.00017075473199874692, 'epoch': 10.58}
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                                                      {'loss': 3.0246, 'grad_norm': 0.26159611344337463, 'learning_rate': 0.00016769136599599017, 'epoch': 10.62}
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                                                      {'loss': 3.0414, 'grad_norm': 0.25558042526245117, 'learning_rate': 0.0001646501820129766, 'epoch': 10.65}
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{'loss': 3.0342, 'grad_norm': 0.2538228929042816, 'learning_rate': 0.00016163138305256598, 'epoch': 10.68}
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                                                      {'loss': 3.0349, 'grad_norm': 0.2547537386417389, 'learning_rate': 0.00015863517062339038, 'epoch': 10.71}
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                                                      {'loss': 3.0332, 'grad_norm': 0.2539041340351105, 'learning_rate': 0.00015566174472640188, 'epoch': 10.75}
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                                                      {'loss': 3.0355, 'grad_norm': 0.2559235990047455, 'learning_rate': 0.0001527113038415231, 'epoch': 10.78}
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                                                      {'loss': 3.0405, 'grad_norm': 0.25588804483413696, 'learning_rate': 0.00014978404491439802, 'epoch': 10.81}
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{'loss': 3.0384, 'grad_norm': 0.25301873683929443, 'learning_rate': 0.00014688016334324605, 'epoch': 10.85}
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                                                      {'loss': 3.0479, 'grad_norm': 0.2607930600643158, 'learning_rate': 0.00014114330604645943, 'epoch': 10.91}
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                                                      {'loss': 3.0506, 'grad_norm': 0.25732260942459106, 'learning_rate': 0.00013831071326327282, 'epoch': 10.94}
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{'loss': 3.0032, 'grad_norm': 0.2537343204021454, 'learning_rate': 0.0001327181448103661, 'epoch': 11.01}
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{'loss': 2.9514, 'grad_norm': 0.25613346695899963, 'learning_rate': 0.00012451362249196797, 'epoch': 11.11}
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{'loss': 2.9567, 'grad_norm': 0.255291223526001, 'learning_rate': 0.00012182866834630096, 'epoch': 11.14}
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                                                      {'loss': 2.952, 'grad_norm': 0.2577686309814453, 'learning_rate': 0.0001165346678316832, 'epoch': 11.21}
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{'loss': 2.957, 'grad_norm': 0.26053518056869507, 'learning_rate': 0.00011392597484393285, 'epoch': 11.24}
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{'loss': 2.9666, 'grad_norm': 0.25685223937034607, 'learning_rate': 0.00010625520936593375, 'epoch': 11.34}
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{'loss': 2.9682, 'grad_norm': 0.2578412890434265, 'learning_rate': 0.0001012724960361826, 'epoch': 11.4}
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{'loss': 2.9594, 'grad_norm': 0.2558611333370209, 'learning_rate': 9.882098000652034e-05, 'epoch': 11.44}
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{'loss': 2.9662, 'grad_norm': 0.2534395158290863, 'learning_rate': 9.639624318158335e-05, 'epoch': 11.47}
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                                                      {'loss': 2.9718, 'grad_norm': 0.25474223494529724, 'learning_rate': 9.399844741560781e-05, 'epoch': 11.5}
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{'loss': 2.9702, 'grad_norm': 0.26035770773887634, 'learning_rate': 9.162775276448015e-05, 'epoch': 11.53}
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{'loss': 2.9783, 'grad_norm': 0.2575839161872864, 'learning_rate': 8.928431747505355e-05, 'epoch': 11.57}
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 83%|████████▎ | 8850/10682 [1:21:28<15:06,  2.02it/s]{'loss': 2.9699, 'grad_norm': 0.25552210211753845, 'learning_rate': 8.6968297974584e-05, 'epoch': 11.6}
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                                                      {'loss': 2.9783, 'grad_norm': 0.25699564814567566, 'learning_rate': 8.467984886028967e-05, 'epoch': 11.63}
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                                                      {'loss': 2.972, 'grad_norm': 0.2611161172389984, 'learning_rate': 8.24191228890303e-05, 'epoch': 11.66}
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{'loss': 2.9658, 'grad_norm': 0.2565944194793701, 'learning_rate': 8.018627096711106e-05, 'epoch': 11.7}
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{'loss': 2.9803, 'grad_norm': 0.2582716941833496, 'learning_rate': 7.798144214020909e-05, 'epoch': 11.73}
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                                                      {'loss': 2.9817, 'grad_norm': 0.25977376103401184, 'learning_rate': 7.58047835834249e-05, 'epoch': 11.76}
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                                                      {'loss': 2.9818, 'grad_norm': 0.25961318612098694, 'learning_rate': 7.365644059145782e-05, 'epoch': 11.8}
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{'loss': 2.9863, 'grad_norm': 0.2538692355155945, 'learning_rate': 7.153655656890773e-05, 'epoch': 11.83}
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{'loss': 2.983, 'grad_norm': 0.2545906901359558, 'learning_rate': 6.94452730207023e-05, 'epoch': 11.86}
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{'loss': 2.9848, 'grad_norm': 0.25774645805358887, 'learning_rate': 6.534906381212979e-05, 'epoch': 11.93}
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{'loss': 2.9837, 'grad_norm': 0.258129358291626, 'learning_rate': 6.334441157888504e-05, 'epoch': 11.96}
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{'loss': 2.9782, 'grad_norm': 0.25698208808898926, 'learning_rate': 6.1368906655978e-05, 'epoch': 11.99}
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                                                      {'loss': 2.913, 'grad_norm': 0.2588600516319275, 'learning_rate': 5.7505864256519716e-05, 'epoch': 12.06}
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{'loss': 2.9162, 'grad_norm': 0.26090139150619507, 'learning_rate': 5.561858464291258e-05, 'epoch': 12.09}
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                                                      {'loss': 2.9148, 'grad_norm': 0.25939974188804626, 'learning_rate': 5.3760968048319145e-05, 'epoch': 12.12}
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{'loss': 2.9113, 'grad_norm': 0.26331159472465515, 'learning_rate': 5.193313847098613e-05, 'epoch': 12.16}
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                                                      {'loss': 2.9158, 'grad_norm': 0.25813746452331543, 'learning_rate': 5.0135217920839137e-05, 'epoch': 12.19}
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                                                      {'loss': 2.9171, 'grad_norm': 0.25688156485557556, 'learning_rate': 4.836732641133895e-05, 'epoch': 12.22}
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                                                      {'loss': 2.9311, 'grad_norm': 0.2595837116241455, 'learning_rate': 4.662958195146971e-05, 'epoch': 12.25}
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                                                      {'loss': 2.9336, 'grad_norm': 0.2590950131416321, 'learning_rate': 4.492210053786228e-05, 'epoch': 12.29}
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                                                      {'loss': 2.9257, 'grad_norm': 0.2565802037715912, 'learning_rate': 4.3244996147050855e-05, 'epoch': 12.32}
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                                                      {'loss': 2.9287, 'grad_norm': 0.25776901841163635, 'learning_rate': 3.998236419395806e-05, 'epoch': 12.39}
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{'loss': 2.9383, 'grad_norm': 0.2581423223018646, 'learning_rate': 3.839705441646779e-05, 'epoch': 12.42}
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{'loss': 2.9281, 'grad_norm': 0.264408677816391, 'learning_rate': 3.6842557216818006e-05, 'epoch': 12.45}
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{'loss': 2.9198, 'grad_norm': 0.2611311078071594, 'learning_rate': 3.531897635965431e-05, 'epoch': 12.48}
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{'loss': 2.9299, 'grad_norm': 0.25863736867904663, 'learning_rate': 3.2364968406054075e-05, 'epoch': 12.55}
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                                                      {'loss': 2.9395, 'grad_norm': 0.2580958604812622, 'learning_rate': 3.093473849336781e-05, 'epoch': 12.58}
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{'loss': 2.9341, 'grad_norm': 0.261229008436203, 'learning_rate': 2.9535819277506203e-05, 'epoch': 12.61}
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{'loss': 2.9337, 'grad_norm': 0.25486069917678833, 'learning_rate': 2.8168304138088295e-05, 'epoch': 12.65}
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{'loss': 2.9371, 'grad_norm': 0.2583189904689789, 'learning_rate': 2.6832284358471516e-05, 'epoch': 12.68}
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                                                      {'loss': 2.9341, 'grad_norm': 0.26042258739471436, 'learning_rate': 2.5527849119658387e-05, 'epoch': 12.71}
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{'loss': 2.9331, 'grad_norm': 0.2615211308002472, 'learning_rate': 2.4255085494343522e-05, 'epoch': 12.75}
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{'loss': 2.9296, 'grad_norm': 0.25791215896606445, 'learning_rate': 2.301407844110154e-05, 'epoch': 12.78}
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                                                      {'loss': 2.9407, 'grad_norm': 0.2589004337787628, 'learning_rate': 2.0627663280649135e-05, 'epoch': 12.84}
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{'loss': 2.9324, 'grad_norm': 0.26078513264656067, 'learning_rate': 1.8369240812535104e-05, 'epoch': 12.91}
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                                                      {'loss': 2.9363, 'grad_norm': 0.25975480675697327, 'learning_rate': 1.7288216615031272e-05, 'epoch': 12.94}
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                                                      {'loss': 2.9305, 'grad_norm': 0.25645723938941956, 'learning_rate': 1.6239414036870183e-05, 'epoch': 12.98}
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{'loss': 2.9333, 'grad_norm': 0.2580699920654297, 'learning_rate': 1.5222903086944684e-05, 'epoch': 13.01}
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                                                       {'loss': 2.8992, 'grad_norm': 0.2573733627796173, 'learning_rate': 1.0627021937013704e-05, 'epoch': 13.17}
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{'loss': 2.9038, 'grad_norm': 0.2564395070075989, 'learning_rate': 9.805609925895964e-06, 'epoch': 13.2}
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{'loss': 2.9031, 'grad_norm': 0.2583499848842621, 'learning_rate': 9.01691900753926e-06, 'epoch': 13.24}
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{'loss': 2.9059, 'grad_norm': 0.25893285870552063, 'learning_rate': 6.847688328344037e-06, 'epoch': 13.34}
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                                                       {'loss': 2.9035, 'grad_norm': 0.2582101821899414, 'learning_rate': 6.190386348572108e-06, 'epoch': 13.37}
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{'loss': 2.9111, 'grad_norm': 0.25822776556015015, 'learning_rate': 4.974711304941093e-06, 'epoch': 13.43}
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                                                       {'loss': 2.9116, 'grad_norm': 0.2585780918598175, 'learning_rate': 3.891208300917604e-06, 'epoch': 13.5}
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{'loss': 2.9146, 'grad_norm': 0.2586267292499542, 'learning_rate': 3.3991130994299734e-06, 'epoch': 13.53}
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{'loss': 2.9005, 'grad_norm': 0.2629854679107666, 'learning_rate': 2.940166632433183e-06, 'epoch': 13.56}
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                                                       {'loss': 2.9086, 'grad_norm': 0.2572007477283478, 'learning_rate': 2.5143995351817882e-06, 'epoch': 13.6}
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{'loss': 2.9077, 'grad_norm': 0.2587304413318634, 'learning_rate': 2.1218402281655835e-06, 'epoch': 13.63}
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{'loss': 2.9116, 'grad_norm': 0.25644370913505554, 'learning_rate': 1.4364475817401635e-06, 'epoch': 13.7}
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{'loss': 2.9096, 'grad_norm': 0.25658246874809265, 'learning_rate': 1.143659993153079e-06, 'epoch': 13.73}
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                                                       {'loss': 2.9067, 'grad_norm': 0.25590550899505615, 'learning_rate': 8.841716933915555e-07, 'epoch': 13.76}
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{'loss': 2.9042, 'grad_norm': 0.2585928440093994, 'learning_rate': 4.651600211027507e-07, 'epoch': 13.83}
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                                                       {'loss': 2.9002, 'grad_norm': 0.2576656639575958, 'learning_rate': 3.0566461813213986e-07, 'epoch': 13.86}
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                                                       {'loss': 2.9081, 'grad_norm': 0.2563185393810272, 'learning_rate': 1.7952444123359167e-07, 'epoch': 13.89}
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{'loss': 2.9086, 'grad_norm': 0.2586294710636139, 'learning_rate': 8.674791042273533e-08, 'epoch': 13.93}
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                                                       {'loss': 2.9053, 'grad_norm': 0.2566535472869873, 'learning_rate': 2.7341218649834522e-08, 'epoch': 13.96}
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                                                       {'loss': 2.9077, 'grad_norm': 0.25448256731033325, 'learning_rate': 1.3083313863404555e-09, 'epoch': 13.99}
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                                                       {'train_runtime': 5942.2836, 'train_samples_per_second': 1840.719, 'train_steps_per_second': 1.798, 'train_loss': 3.514777537611758, 'epoch': 14.0}
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+[2024-05-18 00:12:25,027] torch.distributed.run: [WARNING] 
+[2024-05-18 00:12:25,027] torch.distributed.run: [WARNING] *****************************************
+[2024-05-18 00:12:25,027] 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. 
+[2024-05-18 00:12:25,027] torch.distributed.run: [WARNING] *****************************************
+05/18/2024 00:12:29 - INFO - __main__ - Script parameters ScriptArguments(dataset_id='/juice5/scr5/tthrush/pretraining-coreset-selection/llm_pretraining/train_data_more_data/lambada', output_dir='/juice5/scr5/tthrush/pretraining-coreset-selection/llm_pretraining/llms_more_data/pythia-70m_lambada', output_hub_id='pythia-70m_lambada', hf_hub_token=True, model_id='EleutherAI/pythia-70m', per_device_train_batch_size=256, num_train_epochs=1, learning_rate=0.001, gradient_accumulation_steps=2, from_scratch=True, warmup_ratio=0.1, adam_beta1=0.9, adam_beta2=0.95, adam_epsilon=1e-08, weight_decay=0.01, lr_scheduler_type='cosine', local_rank=0, resume_from_checkpoint=False, deepspeed=None, peft=False)
+05/18/2024 00:12:29 - INFO - __main__ - Script parameters ScriptArguments(dataset_id='/juice5/scr5/tthrush/pretraining-coreset-selection/llm_pretraining/train_data_more_data/lambada', output_dir='/juice5/scr5/tthrush/pretraining-coreset-selection/llm_pretraining/llms_more_data/pythia-70m_lambada', output_hub_id='pythia-70m_lambada', hf_hub_token=True, model_id='EleutherAI/pythia-70m', per_device_train_batch_size=256, num_train_epochs=1, learning_rate=0.001, gradient_accumulation_steps=2, from_scratch=True, warmup_ratio=0.1, adam_beta1=0.9, adam_beta2=0.95, adam_epsilon=1e-08, weight_decay=0.01, lr_scheduler_type='cosine', local_rank=0, resume_from_checkpoint=False, deepspeed=None, peft=False)
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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': 10.6379, 'grad_norm': 1.518687129020691, 'learning_rate': 2.3386342376052384e-05, 'epoch': 0.0}
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                                                     {'loss': 8.4021, 'grad_norm': 0.8535653948783875, 'learning_rate': 9.354536950420954e-05, 'epoch': 0.01}
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{'loss': 7.7462, 'grad_norm': 0.47506141662597656, 'learning_rate': 0.00011693171188026193, 'epoch': 0.01}
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{'loss': 7.2887, 'grad_norm': 0.4157545268535614, 'learning_rate': 0.0001403180542563143, 'epoch': 0.01}
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                                                     {'loss': 6.6194, 'grad_norm': 0.6208123564720154, 'learning_rate': 0.00018709073900841907, 'epoch': 0.02}
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{'loss': 6.3773, 'grad_norm': 0.6479279398918152, 'learning_rate': 0.00021047708138447147, 'epoch': 0.02}
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                                                     {'loss': 6.1815, 'grad_norm': 0.599463701248169, 'learning_rate': 0.00023386342376052386, 'epoch': 0.02}
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{'loss': 6.0129, 'grad_norm': 0.7391013503074646, 'learning_rate': 0.00025724976613657625, 'epoch': 0.03}
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                                                     {'loss': 5.7403, 'grad_norm': 0.6719109416007996, 'learning_rate': 0.00030402245088868103, 'epoch': 0.03}
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{'loss': 5.6318, 'grad_norm': 0.5963531732559204, 'learning_rate': 0.00032740879326473337, 'epoch': 0.03}
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{'loss': 4.9936, 'grad_norm': 0.5443073511123657, 'learning_rate': 0.0005378858746492049, 'epoch': 0.05}
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{'loss': 4.7847, 'grad_norm': 0.3903139531612396, 'learning_rate': 0.0006548175865294667, 'epoch': 0.07}
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                                                     {'loss': 4.7519, 'grad_norm': 0.41105523705482483, 'learning_rate': 0.0006782039289055192, 'epoch': 0.07}
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{'loss': 4.494, 'grad_norm': 0.36147475242614746, 'learning_rate': 0.0009354536950420954, 'epoch': 0.09}
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{'loss': 4.4688, 'grad_norm': 0.3146020770072937, 'learning_rate': 0.0009588400374181479, 'epoch': 0.1}
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{'loss': 4.4544, 'grad_norm': 0.34989291429519653, 'learning_rate': 0.0009822263797942, 'epoch': 0.1}
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{'loss': 4.4193, 'grad_norm': 0.2870602607727051, 'learning_rate': 0.0009999743408927195, 'epoch': 0.1}
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                                                      {'loss': 4.3789, 'grad_norm': 0.2916446328163147, 'learning_rate': 0.0009998248272504882, 'epoch': 0.11}
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{'loss': 4.3142, 'grad_norm': 0.2728389799594879, 'learning_rate': 0.0009991255149608528, 'epoch': 0.12}
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{'loss': 4.2998, 'grad_norm': 0.2711522877216339, 'learning_rate': 0.0009988673590077238, 'epoch': 0.12}
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{'loss': 4.1775, 'grad_norm': 0.24959181249141693, 'learning_rate': 0.0009950482550633215, 'epoch': 0.14}
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{'loss': 4.1442, 'grad_norm': 0.27838432788848877, 'learning_rate': 0.0009931792360859792, 'epoch': 0.15}
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{'loss': 4.1281, 'grad_norm': 0.2294573187828064, 'learning_rate': 0.0009917685524442382, 'epoch': 0.15}
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                                                      {'loss': 4.1065, 'grad_norm': 0.24439358711242676, 'learning_rate': 0.0009902265663133602, 'epoch': 0.16}
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{'loss': 4.105, 'grad_norm': 0.2592258155345917, 'learning_rate': 0.0009894064621077375, 'epoch': 0.16}
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                                                      {'loss': 4.0806, 'grad_norm': 0.23648607730865479, 'learning_rate': 0.0009876683051274124, 'epoch': 0.16}
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{'loss': 4.0583, 'grad_norm': 0.24888846278190613, 'learning_rate': 0.0009848170847181403, 'epoch': 0.17}
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                                                      {'loss': 4.0542, 'grad_norm': 0.23744124174118042, 'learning_rate': 0.0009838018668590573, 'epoch': 0.17}
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 18%|█▊        | 1875/10682 [25:34<1:12:28,  2.03it/s]{'loss': 4.0542, 'grad_norm': 0.2470816969871521, 'learning_rate': 0.000982754354616187, 'epoch': 0.18}
+
                                                      

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                                                      {'loss': 4.0497, 'grad_norm': 0.22908669710159302, 'learning_rate': 0.0009816746179122904, 'epoch': 0.18}
+

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                                                      {'loss': 4.0451, 'grad_norm': 0.25135472416877747, 'learning_rate': 0.0009805627288211524, 'epoch': 0.18}
+

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{'loss': 4.036, 'grad_norm': 0.22280021011829376, 'learning_rate': 0.0009794187615627694, 'epoch': 0.18}
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{'loss': 4.0344, 'grad_norm': 0.22722424566745758, 'learning_rate': 0.0009782427924983968, 'epoch': 0.18}
+
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 19%|█▊        | 2000/10682 [26:35<1:11:38,  2.02it/s]{'loss': 4.0321, 'grad_norm': 0.2304065078496933, 'learning_rate': 0.00097703490012545, 'epoch': 0.19}
                                                      
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{'loss': 4.021, 'grad_norm': 0.2283782809972763, 'learning_rate': 0.0009757951650722661, 'epoch': 0.19}
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{'loss': 3.9983, 'grad_norm': 0.23825807869434357, 'learning_rate': 0.000971885741964458, 'epoch': 0.2}
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{'loss': 3.9916, 'grad_norm': 0.22821089625358582, 'learning_rate': 0.0009691218200690053, 'epoch': 0.2}
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{'loss': 3.9797, 'grad_norm': 0.22974920272827148, 'learning_rate': 0.0009662326423751136, 'epoch': 0.21}
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{'loss': 3.9739, 'grad_norm': 0.21651457250118256, 'learning_rate': 0.0009616657177703876, 'epoch': 0.21}
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                                                      {'loss': 3.9492, 'grad_norm': 0.2225293070077896, 'learning_rate': 0.0009551455676283627, 'epoch': 0.22}
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{'loss': 3.9438, 'grad_norm': 0.22597463428974152, 'learning_rate': 0.0009534392991207893, 'epoch': 0.22}
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{'loss': 3.9483, 'grad_norm': 0.21352504193782806, 'learning_rate': 0.0009517027629690559, 'epoch': 0.23}
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{'loss': 3.9319, 'grad_norm': 0.22187572717666626, 'learning_rate': 0.0009463127178640994, 'epoch': 0.23}
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                                                      {'loss': 3.9206, 'grad_norm': 0.21757052838802338, 'learning_rate': 0.0009406545572679153, 'epoch': 0.24}
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{'loss': 3.9144, 'grad_norm': 0.22559185326099396, 'learning_rate': 0.0009387095054051274, 'epoch': 0.24}
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{'loss': 3.9063, 'grad_norm': 0.23357582092285156, 'learning_rate': 0.0009347316802333359, 'epoch': 0.25}
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{'loss': 3.9031, 'grad_norm': 0.2126639038324356, 'learning_rate': 0.0009306377814504165, 'epoch': 0.25}
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{'loss': 3.8964, 'grad_norm': 0.23009715974330902, 'learning_rate': 0.0009264289021297221, 'epoch': 0.26}
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                                                      {'loss': 3.9001, 'grad_norm': 0.20718076825141907, 'learning_rate': 0.0009242816947557767, 'epoch': 0.26}
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{'loss': 3.8717, 'grad_norm': 0.2135021984577179, 'learning_rate': 0.0009060969017710476, 'epoch': 0.28}
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{'loss': 3.8553, 'grad_norm': 0.21128380298614502, 'learning_rate': 0.0008938454796549082, 'epoch': 0.29}
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{'loss': 3.8615, 'grad_norm': 0.22659720480442047, 'learning_rate': 0.000891315663043654, 'epoch': 0.29}
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                                                      {'loss': 3.8558, 'grad_norm': 0.2236180305480957, 'learning_rate': 0.0008861778379934982, 'epoch': 0.3}
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{'loss': 3.8461, 'grad_norm': 0.2249985933303833, 'learning_rate': 0.000883570172510888, 'epoch': 0.3}
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{'loss': 3.835, 'grad_norm': 0.2155744582414627, 'learning_rate': 0.0008701513290879668, 'epoch': 0.31}
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{'loss': 3.8357, 'grad_norm': 0.24934151768684387, 'learning_rate': 0.0008673927112327234, 'epoch': 0.31}
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{'loss': 3.8294, 'grad_norm': 0.2154206782579422, 'learning_rate': 0.000864609569451406, 'epoch': 0.32}
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{'loss': 3.8278, 'grad_norm': 0.21678951382637024, 'learning_rate': 0.0008561148664436948, 'epoch': 0.32}
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{'loss': 3.8138, 'grad_norm': 0.20994342863559723, 'learning_rate': 0.0008444567155371176, 'epoch': 0.33}
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{'loss': 3.7812, 'grad_norm': 0.20536939799785614, 'learning_rate': 0.0008105388863445693, 'epoch': 0.36}
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{'loss': 3.7869, 'grad_norm': 0.20998729765415192, 'learning_rate': 0.0008073268776325152, 'epoch': 0.36}
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{'loss': 3.7777, 'grad_norm': 0.20530767738819122, 'learning_rate': 0.0008040943544644116, 'epoch': 0.36}
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{'loss': 3.7699, 'grad_norm': 0.22036899626255035, 'learning_rate': 0.0007876316210265521, 'epoch': 0.37}
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{'loss': 3.7742, 'grad_norm': 0.20299334824085236, 'learning_rate': 0.0007809105815091867, 'epoch': 0.38}
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{'loss': 3.778, 'grad_norm': 0.20165860652923584, 'learning_rate': 0.0007775218225718394, 'epoch': 0.38}
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{'loss': 3.7744, 'grad_norm': 0.21162648499011993, 'learning_rate': 0.0007741145387033967, 'epoch': 0.38}
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{'loss': 3.7656, 'grad_norm': 0.21876271069049835, 'learning_rate': 0.0007672453071565586, 'epoch': 0.39}
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{'loss': 3.7602, 'grad_norm': 0.22859026491641998, 'learning_rate': 0.0007603047209574854, 'epoch': 0.39}
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                                                    {'loss': 3.7628, 'grad_norm': 0.21450260281562805, 'learning_rate': 0.0007568082482390682, 'epoch': 0.4}
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{'loss': 3.7562, 'grad_norm': 0.21526353061199188, 'learning_rate': 0.0007532946332467235, 'epoch': 0.4}
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{'loss': 3.751, 'grad_norm': 0.22080130875110626, 'learning_rate': 0.0007426532856357045, 'epoch': 0.4}
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{'loss': 3.7553, 'grad_norm': 0.21232718229293823, 'learning_rate': 0.0007282391860581049, 'epoch': 0.41}
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{'loss': 3.7477, 'grad_norm': 0.2059030830860138, 'learning_rate': 0.0007245969690625126, 'epoch': 0.42}
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{'loss': 3.7431, 'grad_norm': 0.21141181886196136, 'learning_rate': 0.0007061658992620613, 'epoch': 0.43}
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                                                    {'loss': 3.7305, 'grad_norm': 0.21654845774173737, 'learning_rate': 0.0006986954093387361, 'epoch': 0.43}
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{'loss': 3.7225, 'grad_norm': 0.22168032824993134, 'learning_rate': 0.0006873908295562602, 'epoch': 0.44}
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                                                    {'loss': 3.7271, 'grad_norm': 0.21540647745132446, 'learning_rate': 0.0006835972829129873, 'epoch': 0.44}
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                                                    {'loss': 3.7189, 'grad_norm': 0.2164423167705536, 'learning_rate': 0.000679791480919905, 'epoch': 0.44}
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{'loss': 3.7186, 'grad_norm': 0.21361175179481506, 'learning_rate': 0.0006721441278537161, 'epoch': 0.45}
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{'loss': 3.7059, 'grad_norm': 0.21612754464149475, 'learning_rate': 0.0006214083583911186, 'epoch': 0.48}
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                                                    {'loss': 3.6933, 'grad_norm': 0.2120669186115265, 'learning_rate': 0.0006174415244767953, 'epoch': 0.48}
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{'loss': 3.6969, 'grad_norm': 0.22893981635570526, 'learning_rate': 0.0005814191870410933, 'epoch': 0.5}
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{'loss': 3.6666, 'grad_norm': 0.20613126456737518, 'learning_rate': 0.0005245822889824633, 'epoch': 0.54}
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                                                    {'loss': 3.668, 'grad_norm': 0.22501885890960693, 'learning_rate': 0.0005164190835329964, 'epoch': 0.54}
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{'loss': 3.6617, 'grad_norm': 0.218989297747612, 'learning_rate': 0.0004837442325565422, 'epoch': 0.56}
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{'loss': 3.6541, 'grad_norm': 0.22366584837436676, 'learning_rate': 0.0004674241234809751, 'epoch': 0.57}
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{'loss': 3.6487, 'grad_norm': 0.2054712325334549, 'learning_rate': 0.00044707494803155137, 'epoch': 0.58}
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                                                      {'loss': 3.6279, 'grad_norm': 0.21333785355091095, 'learning_rate': 0.0004066753292465861, 'epoch': 0.6}
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{'loss': 3.6309, 'grad_norm': 0.21840351819992065, 'learning_rate': 0.00040266519392417936, 'epoch': 0.61}
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{'loss': 3.6279, 'grad_norm': 0.20090648531913757, 'learning_rate': 0.0003946646821898418, 'epoch': 0.61}
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{'loss': 3.6258, 'grad_norm': 0.20445843040943146, 'learning_rate': 0.00038271731370291583, 'epoch': 0.62}
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                                                      {'loss': 3.6257, 'grad_norm': 0.21112240850925446, 'learning_rate': 0.0003708404009834161, 'epoch': 0.62}
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{'loss': 3.62, 'grad_norm': 0.22026865184307098, 'learning_rate': 0.00036296512652851323, 'epoch': 0.63}
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{'loss': 3.6174, 'grad_norm': 0.21252231299877167, 'learning_rate': 0.00035904107890373196, 'epoch': 0.63}
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{'loss': 3.6015, 'grad_norm': 0.20563794672489166, 'learning_rate': 0.0002977120114920343, 'epoch': 0.67}
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{'loss': 3.5914, 'grad_norm': 0.20954489707946777, 'learning_rate': 0.00029398297770374336, 'epoch': 0.67}
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{'loss': 3.5899, 'grad_norm': 0.20955775678157806, 'learning_rate': 0.0002792068368154043, 'epoch': 0.68}
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{'loss': 3.5878, 'grad_norm': 0.20695380866527557, 'learning_rate': 0.0002719062117197888, 'epoch': 0.69}
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{'loss': 3.5853, 'grad_norm': 0.2128744274377823, 'learning_rate': 0.00024333196878634163, 'epoch': 0.7}
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{'loss': 3.5886, 'grad_norm': 0.20270884037017822, 'learning_rate': 0.00023635500934422239, 'epoch': 0.71}
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{'loss': 3.5821, 'grad_norm': 0.21049731969833374, 'learning_rate': 0.00019603537011569566, 'epoch': 0.74}
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                                                      {'loss': 3.5768, 'grad_norm': 0.21626333892345428, 'learning_rate': 0.0001928020308484042, 'epoch': 0.74}
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                                                      {'loss': 3.5801, 'grad_norm': 0.2008773386478424, 'learning_rate': 0.00018958919743235897, 'epoch': 0.74}
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{'loss': 3.5614, 'grad_norm': 0.20186598598957062, 'learning_rate': 0.00016769136599599017, 'epoch': 0.76}
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{'loss': 3.5641, 'grad_norm': 0.20630207657814026, 'learning_rate': 0.0001646501820129766, 'epoch': 0.76}
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                                                      {'loss': 3.5589, 'grad_norm': 0.20910252630710602, 'learning_rate': 0.00016163138305256598, 'epoch': 0.76}
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{'loss': 3.5692, 'grad_norm': 0.2093537300825119, 'learning_rate': 0.0001527113038415231, 'epoch': 0.77}
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{'loss': 3.5529, 'grad_norm': 0.20978114008903503, 'learning_rate': 0.0001327181448103661, 'epoch': 0.79}
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                                                      {'loss': 3.557, 'grad_norm': 0.20549732446670532, 'learning_rate': 0.00012995854245163207, 'epoch': 0.79}
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{'loss': 3.5518, 'grad_norm': 0.21432042121887207, 'learning_rate': 0.00010625520936593375, 'epoch': 0.81}
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{'loss': 3.5509, 'grad_norm': 0.21237409114837646, 'learning_rate': 9.639624318158335e-05, 'epoch': 0.82}
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{'loss': 3.5479, 'grad_norm': 0.20339708030223846, 'learning_rate': 9.399844741560781e-05, 'epoch': 0.82}
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{'loss': 3.5417, 'grad_norm': 0.20382283627986908, 'learning_rate': 9.162775276448015e-05, 'epoch': 0.82}
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{'loss': 3.5363, 'grad_norm': 0.2103968858718872, 'learning_rate': 5.561858464291258e-05, 'epoch': 0.86}
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                                                      {'loss': 3.5354, 'grad_norm': 0.19871465861797333, 'learning_rate': 3.093473849336781e-05, 'epoch': 0.9}
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                                                      {'loss': 3.5364, 'grad_norm': 0.20390182733535767, 'learning_rate': 2.9535819277506203e-05, 'epoch': 0.9}
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{'loss': 3.5362, 'grad_norm': 0.2015979140996933, 'learning_rate': 2.6832284358471516e-05, 'epoch': 0.91}
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{'loss': 3.5359, 'grad_norm': 0.199530690908432, 'learning_rate': 1.7288216615031272e-05, 'epoch': 0.92}
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{'loss': 3.5259, 'grad_norm': 0.197474867105484, 'learning_rate': 1.4238751618640577e-05, 'epoch': 0.93}
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                                                      {'loss': 3.5327, 'grad_norm': 0.198598250746727, 'learning_rate': 1.3287025325307511e-05, 'epoch': 0.93}
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{'loss': 3.5285, 'grad_norm': 0.19704172015190125, 'learning_rate': 1.2367787735873993e-05, 'epoch': 0.94}
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{'loss': 3.5297, 'grad_norm': 0.19298093020915985, 'learning_rate': 5.56604678228706e-06, 'epoch': 0.96}
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                                                       {'loss': 3.5362, 'grad_norm': 0.19582685828208923, 'learning_rate': 2.5143995351817882e-06, 'epoch': 0.97}

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{'loss': 3.5269, 'grad_norm': 0.19379498064517975, 'learning_rate': 1.7625149152127318e-06, 'epoch': 0.98}
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{'train_runtime': 5904.9238, 'train_samples_per_second': 1852.376, 'train_steps_per_second': 1.809, 'train_loss': 3.915034937113105, '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.