learning_rate: 1e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 16
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: 200
num_epochs: 10
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Wer
0.4073	1.0	218	0.3949	24.1977
0.3204	2.0	436	0.3502	21.8300
0.2274	3.0	654	0.3457	21.0923
0.1631	4.0	872	0.3478	20.9801
0.1222	5.0	1090	0.3724	20.7217
0.0869	6.0	1308	0.3843	21.3574
0.0596	7.0	1526	0.4061	20.4209
0.0433	8.0	1744	0.4194	20.5313
0.0262	9.0	1962	0.4410	20.3121
0.0204	10.0	2180	0.4562	20.2373

Moaaz5/whisper-turbo-v1

whisper-turbo-v1