learning_rate: 1e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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: 50
training_steps: 400
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Wer
3.9691	0.8929	25	2.3010	52.4368
1.2585	1.7857	50	0.7020	40.2838
0.4731	2.6786	75	0.5873	38.0012
0.3261	3.5714	100	0.5631	35.7804
0.2051	4.4643	125	0.5706	37.4460
0.134	5.3571	150	0.5751	35.2252
0.0852	6.25	175	0.5892	35.2869
0.0565	7.1429	200	0.6058	35.1635
0.0349	8.0357	225	0.6195	33.9297
0.0192	8.9286	250	0.6329	34.4849
0.0116	9.8214	275	0.6407	33.6829
0.0083	10.7143	300	0.6513	33.8063
0.0073	11.6071	325	0.6587	34.8550
0.0051	12.5	350	0.6596	34.2381
0.0044	13.3929	375	0.6617	34.1764
0.0043	14.2857	400	0.6627	34.2381

thegauravgiri/whisper-tiny-minds14-finetuned

whisper-tiny-minds14-finetuned