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finetune_dysarthria_F02
This model is a fine-tuned version of facebook/wav2vec2-base-960h on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 154.3471
- Wer: 1.0
- Accuracy: 0.0
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: 0.001
- train_batch_size: 10
- 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: 772
- num_epochs: 15
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer | Accuracy |
|---|---|---|---|---|---|
| 625.3283 | 3.75 | 1931 | 155.3374 | 1.0 | 0.0 |
| 358.2989 | 7.5 | 3862 | 146.5504 | 1.0 | 0.0 |
| 277.2634 | 11.25 | 5793 | 149.5156 | 1.0 | 0.0 |
| 141.6718 | 15.0 | 7724 | 154.3471 | 1.0 | 0.0 |
Framework versions
- Transformers 4.18.0
- Pytorch 1.10.2+cu102
- Datasets 2.3.2
- Tokenizers 0.12.1
