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
0.6782	1.0	14	0.6797	0.4727	0.3256
0.6535	2.0	28	0.5998	0.7818	0.8235
0.5762	3.0	42	0.4867	0.8	0.8358
0.4791	4.0	56	0.5116	0.8182	0.8611
0.426	5.0	70	0.5037	0.7818	0.8182
0.374	6.0	84	0.4857	0.8364	0.8696
0.3461	7.0	98	0.4698	0.8182	0.8529
0.3322	8.0	112	0.5055	0.8364	0.88
0.201	9.0	126	0.5055	0.8545	0.8919
0.1993	10.0	140	0.5239	0.8364	0.88
0.2025	11.0	154	0.5181	0.8545	0.8919
0.1417	12.0	168	0.6867	0.8364	0.8861
0.1162	13.0	182	0.7050	0.8364	0.8861
0.1124	14.0	196	0.5492	0.8545	0.8889
0.1183	15.0	210	0.7322	0.8545	0.8974
0.0693	16.0	224	0.7734	0.8545	0.8974
0.0625	17.0	238	0.6903	0.8545	0.8947
0.0803	18.0	252	0.7115	0.8727	0.9091
0.0354	19.0	266	0.7116	0.8364	0.88
0.0486	20.0	280	0.7316	0.8545	0.8919

ramesh070/wavlm-telugu-binary

wavlm-telugu-binary