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

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

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

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

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