This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the common_voice_13_0 dataset. It achieves the following results on the evaluation set:

Loss: 0.3344
Wer: 0.2990

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
2.9553	1.0	278	2.9166	1.0
2.8419	2.0	556	2.1745	1.0
0.9699	3.0	834	0.5752	0.5677
0.6348	4.0	1112	0.4500	0.4575
0.5375	5.0	1390	0.3974	0.4070
0.4354	6.0	1668	0.3678	0.3576
0.3885	7.0	1946	0.3756	0.3539
0.3737	8.0	2224	0.3655	0.3345
0.336	9.0	2502	0.3472	0.3215
0.3014	10.0	2780	0.3395	0.3095
0.3103	11.0	3058	0.3311	0.3032
0.2965	12.0	3336	0.3344	0.2990

Framework versions

Transformers 4.40.0
Pytorch 2.2.2+cu121
Datasets 2.19.0
Tokenizers 0.19.1

EzraWilliam/wav2vec2-xlsr-53-CV-demo-google-colab-Ezra_William_Prod15

wav2vec2-xlsr-53-CV-demo-google-colab-Ezra_William_Prod15

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

EzraWilliam/
wav2vec2-xlsr-53-CV-demo-google-colab-Ezra_William_Prod15