learning_rate: 0.0003
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 16
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	Lr
1.3936	1.0	251	1.2047	77.7937	48.2532	0.0001
0.8092	2.0	502	0.8939	161.6046	108.6945	0.0002
0.5533	3.0	753	0.8686	145.1289	117.0475	0.0003
0.3427	4.0	1004	0.6722	50.7163	34.9094	0.0002
0.1878	5.0	1255	0.6712	74.9284	63.9611	0.0002
0.1152	6.0	1506	0.6282	43.6963	29.8923	0.0001
0.0547	7.0	1757	0.6345	60.3152	53.7956	0.0001
0.0263	8.0	2008	0.6343	40.9742	28.2112	0.0000

miosipof/asr2_medium_v0.8

Whisper Medium