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wav2vec2-base-nsc-demo-5
This model is a fine-tuned version of facebook/wav2vec2-base-960h on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3886
- Wer: 0.1816
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: 5e-05
- train_batch_size: 32
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- num_epochs: 100
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.5847 | 4.55 | 100 | 0.3145 | 0.1831 |
| 0.2645 | 9.09 | 200 | 0.2989 | 0.1744 |
| 0.1705 | 13.64 | 300 | 0.3104 | 0.1847 |
| 0.1267 | 18.18 | 400 | 0.5592 | 0.1853 |
| 0.0993 | 22.73 | 500 | 0.3233 | 0.1765 |
| 0.0939 | 27.27 | 600 | 0.3632 | 0.1816 |
| 0.0731 | 31.82 | 700 | 0.3886 | 0.1816 |
Framework versions
- Transformers 4.33.0
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.13.3
