wav2vec2-xlsr-53-CV-demo-google-colab-Ezra_William_Prod12
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: 0.4926
- Wer: 0.4835
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: 3e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 9
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 2.8927 | 1.8 | 1000 | 2.8756 | 1.0 |
| 1.2282 | 3.6 | 2000 | 0.8005 | 0.6955 |
| 0.79 | 5.4 | 3000 | 0.5742 | 0.5471 |
| 0.6958 | 7.19 | 4000 | 0.5083 | 0.4917 |
| 0.7162 | 8.99 | 5000 | 0.4926 | 0.4835 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.2.2+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2