learning_rate: 3e-05
train_batch_size: 32
eval_batch_size: 32
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 128
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: 10

Training Loss	Epoch	Step	Validation Loss	Accuracy
1.4464	1.0	55	1.4501	0.5965
1.1235	2.0	110	1.2883	0.6285
1.0447	3.0	165	1.1324	0.6691
0.768	4.0	220	1.0824	0.6651
0.7529	5.0	275	0.9645	0.7172
0.6759	6.0	330	0.9236	0.7355
0.5837	7.0	385	0.7909	0.7653
0.5465	8.0	440	0.7330	0.7922
0.5112	9.0	495	0.7152	0.7997
0.4747	10.0	550	0.7128	0.8019

Kibalama/urban_sounds_classification_Model

urban_sounds_classification_Model