learning_rate: 1e-05
train_batch_size: 8
eval_batch_size: 8
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: 500
training_steps: 5000
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Wer
0.9092	0.8460	500	0.8859	59.1489
0.6742	1.6920	1000	0.8084	58.6685
0.4835	2.5381	1500	0.7822	52.2992
0.3839	3.3841	2000	0.7792	55.2505
0.3781	4.2301	2500	0.7976	57.1311
0.2321	5.0761	3000	0.8026	53.3425
0.2785	5.9222	3500	0.8129	54.4955
0.2542	6.7682	4000	0.8306	53.6033
0.2232	7.6142	4500	0.8451	53.9602
0.1776	8.4602	5000	0.8447	53.3013

JoeTheOther/whisper-tiny-ur-5h

whisper-tiny-ur-5h