learning_rate: 1e-05
train_batch_size: 16
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: 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	Cer	Precision	Recall	F1
0.9241	0.4237	100	0.8794	0.2973	0.2468	0.1060	0.8428	0.8469	0.8443
0.7528	0.8475	200	0.7464	0.2903	0.2354	0.1032	0.8583	0.8593	0.8581
0.5275	1.2712	300	0.7158	0.2778	0.2285	0.1000	0.8619	0.8627	0.8616
0.5686	1.6949	400	0.6956	0.2805	0.2255	0.1021	0.8638	0.8632	0.8626
0.3472	2.1186	500	0.6880	0.2755	0.2202	0.0998	0.8628	0.8622	0.8616

Setosm/whisper-base-ea_base

./whisper-base-ea_base