learning_rate: 0.0001
train_batch_size: 2
eval_batch_size: 4
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: 20000
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Wer
0.6698	1.5625	2000	0.9466	47.5705
0.2225	3.125	4000	0.7431	43.1251
0.1520	4.6875	6000	0.6466	36.1985
0.0715	6.25	8000	0.6520	36.2871
0.0582	7.8125	10000	0.6448	34.0127
0.0200	9.375	12000	0.6326	31.3691
0.0082	10.9375	14000	0.6005	29.0799
0.0082	12.5	16000	0.5570	26.8055
0.0172	14.0625	18000	0.5496	25.0480
0.0006	15.625	20000	0.5311	24.5163

Eimhin03/output_model_whisper_base_shunya_ideal_data_augmentation_enabled

output_model_whisper_base_shunya_ideal_data_augmentation_enabled