wav2vec2-base-medical-demo2
This model is a fine-tuned version of facebook/wav2vec2-large on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4790
- Wer: 0.1988
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: 0.0001
- 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: 1000
- num_epochs: 30
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 3.8755 | 3.97 | 500 | 1.4725 | 0.9722 |
| 0.8476 | 7.94 | 1000 | 0.5328 | 0.3881 |
| 0.4148 | 11.9 | 1500 | 0.5005 | 0.2710 |
| 0.259 | 15.87 | 2000 | 0.5133 | 0.2376 |
| 0.1795 | 19.84 | 2500 | 0.4084 | 0.2239 |
| 0.1323 | 23.81 | 3000 | 0.4588 | 0.2067 |
| 0.1015 | 27.78 | 3500 | 0.4790 | 0.1988 |
Framework versions
- Transformers 4.34.1
- Pytorch 2.1.0
- Datasets 2.14.6
- Tokenizers 0.14.1
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Base model
facebook/wav2vec2-large