learning_rate: 5e-05
train_batch_size: 128
eval_batch_size: 512
seed: 42
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 20

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	120	0.6514	0.6248
No log	2.0	240	0.5753	0.7198
No log	3.0	360	0.6240	0.6720
No log	4.0	480	0.4622	0.7847
0.6066	5.0	600	0.5026	0.7693
0.6066	6.0	720	0.4972	0.7817
0.6066	7.0	840	0.4209	0.7947
0.6066	8.0	960	0.4197	0.8142
0.4452	9.0	1080	0.5085	0.7935
0.4452	10.0	1200	0.3948	0.8265
0.4452	11.0	1320	0.3898	0.8307
0.4452	12.0	1440	0.3542	0.8490
0.322	13.0	1560	0.4070	0.8342
0.322	14.0	1680	0.3532	0.8454
0.322	15.0	1800	0.4472	0.8319
0.322	16.0	1920	0.3935	0.8549
0.2358	17.0	2040	0.3641	0.8625
0.2358	18.0	2160	0.3950	0.8614
0.2358	19.0	2280	0.4140	0.8655
0.2358	20.0	2400	0.4209	0.8661

melisa/results_bert

results_bert