learning_rate: 7e-05
train_batch_size: 16
eval_batch_size: 8
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.98) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
training_steps: 5000
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Wer	Cer
3.0018	11.3636	500	2.9956	1.0	1.0
2.879	22.7273	1000	2.9314	0.9958	0.9427
1.2342	34.0909	1500	0.8271	0.6077	0.1944
0.8487	45.4545	2000	0.5908	0.4622	0.1393
0.7073	56.8182	2500	0.5337	0.4119	0.1257
0.5277	68.1818	3000	0.5089	0.3837	0.1171
0.4473	79.5455	3500	0.5158	0.3666	0.1120
0.4438	90.9091	4000	0.5199	0.3610	0.1122
0.4289	102.2727	4500	0.5246	0.3496	0.1106
0.4218	113.6364	5000	0.5292	0.3512	0.1108

Rateddany/wav2vec2-xls-r-300m-fr-1h

wav2vec2-xls-r-300m-fr-1h