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	Wer Ortho
3.1843	0.8929	25	2.2625	0.4050	0.5262
1.3521	1.7857	50	0.5872	0.3849	0.4139
0.4052	2.6786	75	0.4956	0.3548	0.3646
0.2838	3.5714	100	0.4867	0.3306	0.3362
0.1607	4.4643	125	0.5027	0.3383	0.3492
0.0983	5.3571	150	0.5185	0.3264	0.3381
0.0545	6.25	175	0.5317	0.3235	0.3319
0.0285	7.1429	200	0.5650	0.3188	0.3300
0.0134	8.0357	225	0.5830	0.3217	0.3294
0.0064	8.9286	250	0.5854	0.3223	0.3251
0.0033	9.8214	275	0.6045	0.3259	0.3263
0.0022	10.7143	300	0.6145	0.3312	0.3319
0.0017	11.6071	325	0.6275	0.3182	0.3196
0.0013	12.5	350	0.6332	0.3247	0.3251
0.0011	13.3929	375	0.6397	0.3270	0.3276
0.0009	14.2857	400	0.6457	0.3247	0.3251
0.0008	15.1786	425	0.6506	0.3253	0.3263
0.0007	16.0714	450	0.6559	0.3253	0.3270
0.0007	16.9643	475	0.6604	0.3264	0.3270
0.0006	17.8571	500	0.6649	0.3276	0.3270

Sirreajohn/whisper-tiny-minds14-en

Whisper Tiny MInDS-14