learning_rate: 0.0001
train_batch_size: 8
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 32
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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: 200
training_steps: 1000
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss
2.3127	3.0305	100	0.5046
2.0210	6.0611	200	0.4666
1.9349	9.0916	300	0.4549
1.8678	12.1221	400	0.4557
1.8350	15.1527	500	0.4458
1.7924	18.1832	600	0.4420
1.7497	21.2137	700	0.4426
1.7502	24.2443	800	0.4408
1.7198	27.2748	900	0.4381
1.7092	30.3053	1000	0.4394

23f2003853/speecht5_finetuned_voxpopuli_ro

speecht5_finetuned_voxpopuli_ro