results
This model is a fine-tuned version of facebook/wav2vec2-large-xlsr-53 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.6829
- Accuracy: 0.7762
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: 1e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.779 | 1.0 | 696 | 1.6927 | 0.3870 |
| 1.2226 | 2.0 | 1392 | 1.0862 | 0.6473 |
| 0.9327 | 3.0 | 2088 | 0.8558 | 0.7272 |
| 0.7959 | 4.0 | 2784 | 0.6992 | 0.7769 |
| 0.7238 | 5.0 | 3480 | 0.6829 | 0.7762 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0
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