learning_rate: 1e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 16
optimizer: Use 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: 132
num_epochs: 30
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Wer
3.4117	2.5063	100	0.6501	50.3145
0.1828	5.0	200	0.0349	25.3669
0.0163	7.5063	300	0.0345	19.4969
0.0111	10.0	400	0.0335	25.3669
0.0076	12.5063	500	0.0279	14.2558
0.0074	15.0	600	0.0262	12.3690
0.0064	17.5063	700	0.0260	12.1593
0.0051	20.0	800	0.0262	12.1593
0.0041	22.5063	900	0.0280	9.2243
0.0037	25.0	1000	0.0275	11.5304
0.0029	27.5063	1100	0.0267	11.7400

susmitabhatt/whisper-a-clp

whisper-a-clp