learning_rate: 5e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 1

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.5081	0.032	100	0.4266	0.7999
0.3838	0.064	200	0.4197	0.8409
0.3735	0.096	300	0.3373	0.8616
0.3713	0.128	400	0.3754	0.8672
0.4094	0.16	500	0.2907	0.8792
0.3621	0.192	600	0.3100	0.8760
0.3487	0.224	700	0.3462	0.8827
0.3327	0.256	800	0.3644	0.8742
0.3495	0.288	900	0.4448	0.8482
0.3468	0.32	1000	0.3342	0.8864
0.3112	0.352	1100	0.4014	0.8675
0.3511	0.384	1200	0.2958	0.8912
0.3491	0.416	1300	0.2541	0.8964
0.333	0.448	1400	0.2860	0.8957
0.3104	0.48	1500	0.2783	0.8923
0.284	0.512	1600	0.3218	0.8982
0.3023	0.544	1700	0.2826	0.8965
0.2752	0.576	1800	0.3640	0.8918
0.3185	0.608	1900	0.2772	0.9020
0.3386	0.64	2000	0.2720	0.8986
0.2742	0.672	2100	0.2842	0.9031
0.3082	0.704	2200	0.2984	0.8979
0.2994	0.736	2300	0.2560	0.9048
0.3281	0.768	2400	0.2648	0.906
0.2469	0.8	2500	0.2561	0.9069
0.2836	0.832	2600	0.2810	0.9087
0.2598	0.864	2700	0.2716	0.9101
0.293	0.896	2800	0.2539	0.9097
0.2898	0.928	2900	0.2496	0.9090
0.2411	0.96	3000	0.2577	0.9101
0.274	0.992	3100	0.2571	0.9104

Moemenkil/finetuned-imdb

finetuned-imdb