vitouphy/wav2vec2-xls-r-300m-english

This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the librispeech_asr dataset. It achieves the following results on the evaluation set:

• Loss: 0.1444
• Wer: 0.1167

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 5e-05
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 32
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 1000
• num_epochs: 50
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
2.9365	4.17	500	2.9398	0.9999
1.5444	8.33	1000	0.5947	0.4289
1.1367	12.5	1500	0.2751	0.2366
0.9972	16.66	2000	0.2032	0.1797
0.9118	20.83	2500	0.1786	0.1479
0.8664	24.99	3000	0.1641	0.1408
0.8251	29.17	3500	0.1537	0.1267
0.793	33.33	4000	0.1525	0.1244
0.785	37.5	4500	0.1470	0.1184
0.7612	41.66	5000	0.1446	0.1177
0.7478	45.83	5500	0.1449	0.1176
0.7443	49.99	6000	0.1444	0.1167

Framework versions

• Transformers 4.17.0.dev0
• Pytorch 1.10.2+cu102
• Datasets 1.18.2.dev0
• Tokenizers 0.11.0