learning_rate: 0.0001
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 32
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
num_epochs: 10
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	15	2.6568	0.0588
No log	2.0	30	2.4162	0.2017
No log	3.0	45	2.0993	0.3277
No log	4.0	60	1.8936	0.4454
No log	5.0	75	1.7412	0.5210
No log	6.0	90	1.3892	0.7143
No log	7.0	105	1.2259	0.7563
No log	8.0	120	1.1305	0.7563
No log	9.0	135	1.0818	0.7479
No log	10.0	150	1.0420	0.7479

minsol54/audio_cls

audio_cls