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: 0.4423
Wer: 0.3800

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: 6
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.2865	1.0	278	0.4681	0.4721
0.2346	2.0	556	0.4505	0.4318
0.1898	3.0	834	0.4389	0.4084
0.1606	4.0	1112	0.4209	0.3981
0.1412	5.0	1390	0.4448	0.3856
0.134	6.0	1668	0.4423	0.3800

Framework versions

Transformers 4.40.1
Pytorch 2.3.0+cu121
Datasets 2.19.0
Tokenizers 0.19.1

EzraWilliam/wav2vec2-xlsr-53-CV-demo-google-colab-Ezra_William_Prod18

wav2vec2-xlsr-53-CV-demo-google-colab-Ezra_William_Prod18

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_Prod18