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: linear
lr_scheduler_warmup_steps: 500
training_steps: 5000
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Wer
0.5631	0.9579	500	0.5425	56.3746
0.3865	1.9157	1000	0.4621	57.9972
0.243	2.8736	1500	0.4462	46.4070
0.1604	3.8314	2000	0.4600	47.2415
0.0831	4.7893	2500	0.4872	48.2151
0.0423	5.7471	3000	0.5048	56.5369
0.0195	6.7050	3500	0.5273	51.3213
0.0084	7.6628	4000	0.5476	48.9801
0.0051	8.6207	4500	0.5553	50.3245
0.0036	9.5785	5000	0.5598	51.1127

simzacademy/whisper-small-tonga

Whisper small Tonga - Tonga ASR