wav2vec2-xlsr-53-CV-demo-google-colab-Ezra_William_Prod18
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
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Base model
facebook/wav2vec2-large-xlsr-53