learning_rate: 1e-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: constant_with_warmup
lr_scheduler_warmup_steps: 50
training_steps: 500
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Wer Ortho	Wer
1.0739	0.2242	50	0.9126	51.8174	48.0993
0.7849	0.4484	100	0.7600	49.1209	45.4251
0.6366	0.6726	150	0.6490	47.3700	43.7454
0.5582	0.8969	200	0.6033	46.5499	42.8098
0.3775	1.1211	250	0.6004	46.1584	42.2941
0.3617	1.3453	300	0.5918	46.5352	42.8687
0.3631	1.5695	350	0.5849	45.6339	41.7784
0.3332	1.7937	400	0.5885	44.9690	40.9754
0.3093	2.0179	450	0.5808	44.5109	40.8944
0.1865	2.2422	500	0.6067	44.9468	41.3437

tomtom5/whisper-small-he

Whisper Small He with punctuation- Tom Apt