learning_rate: 5e-05
train_batch_size: 11
eval_batch_size: 11
seed: 42
optimizer: Use OptimizerNames.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: 16
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Accuracy
2.1691	1.0	82	2.0890	0.44
1.6372	2.0	164	1.5252	0.57
1.348	3.0	246	1.1441	0.72
0.8319	4.0	328	0.9642	0.74
0.5931	5.0	410	0.6850	0.82
0.5049	6.0	492	0.5984	0.83
0.3853	7.0	574	0.5737	0.81
0.217	8.0	656	0.6157	0.82
0.2158	9.0	738	0.4505	0.89
0.0759	10.0	820	0.5020	0.87
0.0412	11.0	902	0.5438	0.83
0.0325	12.0	984	0.5729	0.83
0.0221	13.0	1066	0.5432	0.83
0.0154	14.0	1148	0.5868	0.83
0.015	15.0	1230	0.5330	0.86
0.0138	16.0	1312	0.5583	0.84

ErikRAx/distilhubert-finetuned-gtzan

distilhubert-finetuned-gtzan