results
This model is a fine-tuned version of facebook/wav2vec2-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3386
- Accuracy: 0.9893
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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 2.4107 | 1.0 | 210 | 1.7190 | 0.8012 |
| 1.3081 | 2.0 | 420 | 0.8791 | 0.9298 |
| 0.7142 | 3.0 | 630 | 0.5254 | 0.9440 |
| 0.4789 | 4.0 | 840 | 0.3892 | 0.9798 |
| 0.3817 | 5.0 | 1050 | 0.3386 | 0.9893 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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