learning_rate: 2e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
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: 200
training_steps: 500
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Wer	Wer Ortho
0.8922	1.7241	50	0.7444	0.3378	0.3378
0.3603	3.4483	100	0.5051	0.3048	0.3048
0.1591	5.1724	150	0.5103	0.3028	0.3028
0.0449	6.8966	200	0.5746	0.2941	0.2941
0.0104	8.6207	250	0.6113	0.3022	0.3022
0.0035	10.3448	300	0.6488	0.2867	0.2867
0.0011	12.0690	350	0.6746	0.2907	0.2907
0.0008	13.7931	400	0.6828	0.2894	0.2894
0.0007	15.5172	450	0.6872	0.2907	0.2907

Raghavi20/whisper-tiny-minds14-enUS

whisper-tiny-minds14-enUS