learning_rate: 0.0001
train_batch_size: 2
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 3
total_train_batch_size: 6
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_steps: 100
num_epochs: 10
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss
1.4979	0.3836	100	0.4410
1.457	0.7673	200	0.4141
1.3563	1.1496	300	0.4106
1.2904	1.5332	400	0.3990
1.2615	1.9169	500	0.3980
1.2626	2.2992	600	0.3905
1.2478	2.6829	700	0.3859
1.2575	3.0652	800	0.3896
1.247	3.4488	900	0.3820
1.2218	3.8325	1000	0.3829
1.2306	4.2148	1100	0.3789
1.2151	4.5985	1200	0.3774
1.195	4.9821	1300	0.3760
1.1739	5.3645	1400	0.3752
1.1846	5.7481	1500	0.3721
1.1653	6.1304	1600	0.3739
1.1682	6.5141	1700	0.3689
1.1764	6.8977	1800	0.3699
1.1608	7.2801	1900	0.3690
1.1479	7.6637	2000	0.3680
1.1408	8.0460	2100	0.3667
1.133	8.4297	2200	0.3650
1.1269	8.8133	2300	0.3653
1.1187	9.1957	2400	0.3654
1.1193	9.5793	2500	0.3645
1.1246	9.9629	2600	0.3630

Dawid511/speecht5_finetuned_librispeech_polish_epo10_batch2_gas3

speecht5_finetuned_librispeech_polish_epo10_batch2_gas3