learning_rate: 5e-05
train_batch_size: 1
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 8
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_steps: 10
num_epochs: 20
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss
0.4764	1.0	48	0.6521
0.4478	2.0	96	0.6279
0.4226	3.0	144	0.6204
0.4066	4.0	192	0.6106
0.396	5.0	240	0.6088
0.3846	6.0	288	0.6110
0.3831	7.0	336	0.6011
0.3745	8.0	384	0.5950
0.3707	9.0	432	0.5898
0.3661	10.0	480	0.5897
0.3652	11.0	528	0.5941
0.3618	12.0	576	0.5885
0.354	13.0	624	0.5826
0.3523	14.0	672	0.5802
0.3497	15.0	720	0.5798
0.3455	16.0	768	0.5760
0.3438	17.0	816	0.5777
0.3419	18.0	864	0.5761
0.3423	19.0	912	0.5765
0.3434	19.5895	940	0.5765

kavinda123321/speecht5_finetuned_english_ranil_aug

speecht5_finetuned_english_ranil_aug