learning_rate: 0.0003
train_batch_size: 8
eval_batch_size: 8
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: 500
num_epochs: 4
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Wer	Cer
20.7630	0.3765	1000	3.5191	1.1977	0.7212
7.7150	0.7529	2000	1.2882	0.8530	0.4638
6.0799	1.1291	3000	0.9210	0.7252	0.4022
5.2488	1.5056	4000	0.8003	0.6674	0.3770
4.7571	1.8821	5000	0.6756	0.6424	0.3592
4.1901	2.2583	6000	0.6284	0.6067	0.3555
3.8641	2.6347	7000	0.5705	0.5753	0.3428
3.6315	3.0109	8000	0.5082	0.5767	0.3401
3.2256	3.3874	9000	0.4706	0.5489	0.3297
3.1323	3.7639	10000	0.4425	0.5418	0.3254

PR7175z/wav2vec2-finetuned-asr

wav2vec2-finetuned-asr