This model is a fine-tuned version of facebook/wav2vec2-large-xlsr-53 on the common_voice_13_0 dataset. It achieves the following results on the evaluation set:

Loss: 0.7896
Wer: 0.6979

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: 0.0001
train_batch_size: 16
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 12
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
5.4479	1.0	121	2.9741	1.0
2.9543	2.0	242	2.9297	1.0
2.9306	3.0	363	2.9112	1.0
2.9216	4.0	484	2.9071	1.0
2.8968	5.0	605	2.8713	1.0
2.8822	6.0	726	2.8446	1.0
2.8421	7.0	847	2.5157	1.0
2.5763	8.0	968	1.5780	0.9964
1.9449	9.0	1089	0.9864	0.8132
1.0398	10.0	1210	0.8565	0.7348
0.9162	11.0	1331	0.7941	0.7043
0.8909	12.0	1452	0.7896	0.6979

Framework versions

Transformers 4.42.3
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1

EzraWilliam/XLS-R-demo-google-colab-Ezra_William_Prod_3

XLS-R-demo-google-colab-Ezra_William_Prod_3

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

EzraWilliam/
XLS-R-demo-google-colab-Ezra_William_Prod_3