learning_rate: 1e-05
train_batch_size: 10
eval_batch_size: 2
seed: 42
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: 250
training_steps: 8000
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss
0.5587	1.25	500	0.4937
0.5176	2.5	1000	0.4703
0.4983	3.75	1500	0.4594
0.5016	5.0	2000	0.4584
0.4797	6.25	2500	0.4539
0.4845	7.5	3000	0.4512
0.4882	8.75	3500	0.4489
0.4721	10.0	4000	0.4469
0.4829	11.25	4500	0.4456
0.4974	12.5	5000	0.4457
0.4776	13.75	5500	0.4442
0.4866	15.0	6000	0.4441
0.4752	16.25	6500	0.4430
0.4765	17.5	7000	0.4430
0.4668	18.75	7500	0.4431
0.4823	20.0	8000	0.4429

vapari/speecht5_finetuned_voxpopuli_fi_lim_speakrs

speecht5_finetuned_voxpopuli_fi_lim_speakrs