learning_rate: 5e-05
train_batch_size: 8
eval_batch_size: 8
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_ratio: 0.1
num_epochs: 15
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.6335	1.0	92	0.5993	0.6593
0.4618	2.0	184	0.6011	0.6703
0.3811	3.0	276	0.7119	0.5604
0.4686	4.0	368	0.7788	0.6593
0.2984	5.0	460	0.8130	0.6044
0.2004	6.0	552	0.8343	0.6484
0.3806	7.0	644	0.9339	0.6264
0.1813	8.0	736	1.1104	0.5055
0.1335	9.0	828	1.1915	0.6813
0.2548	10.0	920	1.2242	0.6703
0.5109	11.0	1012	1.4604	0.6923
0.155	12.0	1104	1.5649	0.6593
0.1678	13.0	1196	1.6666	0.6703
0.1302	14.0	1288	1.7023	0.6813
0.0068	15.0	1380	1.7494	0.6703

NiloofarMomeni/distilhubert-finetuned-grade

distilhubert-finetuned-grade