learning_rate: 1e-05
train_batch_size: 16
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 32
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: 500
training_steps: 2000
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss
0.679	4.0	200	0.5742
0.5413	8.0	400	0.4974
0.5076	12.0	600	0.4805
0.5097	16.0	800	0.4743
0.4837	20.0	1000	0.4655
0.4913	24.0	1200	0.4639
0.4777	28.0	1400	0.4632
0.484	32.0	1600	0.4623
0.4788	36.0	1800	0.4608
0.4711	40.0	2000	0.4599

tschwarz/speecht5_finetuned_voxpopuli_fi

speecht5_finetuned_voxpopuli_fi