learning_rate: 3e-05
train_batch_size: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 8
optimizer: Use 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_ratio: 0.3
num_epochs: 8
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Wer	Cer
4.1253	1.0	502	3.7472	83.6676	51.0638
1.2287	2.0	1004	1.0543	73.3524	47.8329
0.9543	3.0	1506	0.8523	80.3725	49.8555
0.7365	4.0	2008	0.7315	79.6562	58.7602
0.4663	5.0	2510	0.6675	57.3066	39.2960
0.5042	6.0	3012	0.6423	54.8711	39.2960
0.386	7.0	3514	0.6314	55.1576	38.2453
0.2509	7.9850	4008	0.6333	56.7335	39.2960

miosipof/asr2_medium_v0.2

Whisper Medium