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: 20
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.6428	1.0	74	0.6271	0.7279
0.5684	2.0	148	0.4996	0.7891
0.4783	3.0	222	0.4684	0.7823
0.2441	4.0	296	0.4405	0.8027
0.6583	5.0	370	0.4966	0.7891
0.3304	6.0	444	0.5008	0.8231
0.4209	7.0	518	0.5070	0.8435
0.2269	8.0	592	0.6253	0.8027
0.2272	9.0	666	0.9433	0.7755
0.0023	10.0	740	0.8471	0.8231
0.0776	11.0	814	1.0535	0.7891
0.0007	12.0	888	1.0649	0.8299
0.0004	13.0	962	1.0674	0.8231
0.0004	14.0	1036	1.1414	0.8231
0.0003	15.0	1110	1.3342	0.8095
0.0003	16.0	1184	1.2617	0.8163
0.0003	17.0	1258	1.2684	0.8231
0.0002	18.0	1332	1.2787	0.8231
0.0002	19.0	1406	1.2923	0.8163
0.0002	20.0	1480	1.2978	0.8163

NiloofarMomeni/distilhubert-finetuned-PQVD

distilhubert-finetuned-breathiness