learning_rate: 1e-05
train_batch_size: 4
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 8
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: 100
training_steps: 1000
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss
0.805	0.1161	100	0.6954
0.6797	0.2323	200	0.5990
0.6391	0.3484	300	0.5751
0.6305	0.4646	400	0.5646
0.618	0.5807	500	0.5551
0.6137	0.6969	600	0.5485
0.5983	0.8130	700	0.5438
0.6	0.9292	800	0.5410
0.5935	1.0453	900	0.5384
0.5954	1.1614	1000	0.5376

Linybenny/speecht5_finetunedml

speecht5_finetunedml