learning_rate: 0.001
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: 100000
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Wer
2.2403	3.9062	5000	2.6294	114.8722
0.7554	7.8125	10000	1.8172	103.7218
0.0	11.7188	15000	nan	100.0
0.0	15.625	20000	nan	100.0
0.0	19.5312	25000	nan	100.0
0.0	23.4375	30000	nan	100.0
0.0	27.3438	35000	nan	100.0
0.0	31.25	40000	nan	100.0
0.0	35.1562	45000	nan	100.0
0.0	39.0625	50000	nan	100.0
0.0	42.9688	55000	nan	100.0
0.0	46.875	60000	nan	100.0
0.0	50.7812	65000	nan	100.0
0.0	54.6875	70000	nan	100.0
0.0	58.5938	75000	nan	100.0
0.0	62.5	80000	nan	100.0
0.0	66.4062	85000	nan	100.0
0.0	70.3125	90000	nan	100.0
0.0	74.2188	95000	nan	100.0
0.0	78.125	100000	nan	100.0

Eimhin03/output_model_whisper_base_shunya_ideal_data_augmentation_enabled_attepmt2

output_model_whisper_base_shunya_ideal_data_augmentation_enabled_attepmt2