wav2vec2-large-xls-r-300m-hausa

This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the MOZILLA-FOUNDATION/COMMON_VOICE_7_0 - HA dataset. It achieves the following results on the evaluation set:

• Loss: 0.5756
• Wer: 0.6014

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: 7e-05
• train_batch_size: 32
• eval_batch_size: 32
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 500
• num_epochs: 100.0
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
2.7064	11.36	500	2.7112	1.0
1.3079	22.73	1000	0.7337	0.7776
1.0919	34.09	1500	0.5938	0.7023
0.9546	45.45	2000	0.5698	0.6133
0.8895	56.82	2500	0.5739	0.6142
0.8152	68.18	3000	0.5579	0.6091
0.7703	79.55	3500	0.5813	0.6210
0.732	90.91	4000	0.5756	0.5860

Framework versions

• Transformers 4.16.0.dev0
• Pytorch 1.10.1+cu102
• Datasets 1.17.1.dev0
• Tokenizers 0.11.0