learning_rate: 3e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 32
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: 20
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
0.671	1.0	23	0.6930	0.5455	0.7059
0.6701	2.0	46	0.6928	0.5455	0.7059
0.6663	3.0	69	0.6922	0.5114	0.1887
0.6396	4.0	92	0.6185	0.9432	0.9462
0.5025	5.0	115	0.3883	0.9205	0.9278
0.34	6.0	138	0.2244	0.9318	0.9388
0.2135	7.0	161	0.1514	0.9545	0.9565
0.1553	8.0	184	0.0885	0.9886	0.9895
0.1271	9.0	207	0.0599	0.9886	0.9895
0.1021	10.0	230	0.1514	0.9545	0.9565
0.1047	11.0	253	0.0882	0.9773	0.9787
0.0649	12.0	276	0.1436	0.9545	0.9565
0.0976	13.0	299	0.1442	0.9545	0.9565
0.0535	14.0	322	0.1696	0.9545	0.9565
0.0431	15.0	345	0.0886	0.9659	0.9677
0.0817	16.0	368	0.1970	0.9545	0.9565
0.0463	17.0	391	0.2021	0.9545	0.9565
0.0573	18.0	414	0.1203	0.9659	0.9677
0.0346	19.0	437	0.1030	0.9659	0.9677
0.0493	20.0	460	0.1225	0.9659	0.9677

ramesh070/wav2vec2-malayalam-binary

wav2vec2-malayalam-binary