learning_rate: 0.0001
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 16
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
lr_scheduler_warmup_ratio: 0.1
num_epochs: 10
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Accuracy
2.639	1.0	30	2.6473	0.0504
2.6399	2.0	60	2.6481	0.0672
2.6514	3.0	90	2.6458	0.0588
2.6384	4.0	120	2.6581	0.0336
2.6289	5.0	150	2.6557	0.0336
2.6308	6.0	180	2.6607	0.0252
2.643	7.0	210	2.6600	0.0336
2.648	8.0	240	2.6641	0.0336
2.6333	9.0	270	2.6596	0.0336
2.6289	10.0	300	2.6549	0.0336

pepppper/audio_cls

audio_cls