whisper-medium-ft-5000
This model is a fine-tuned version of openai/whisper-medium on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2673
- Wer: 10.3673
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: 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: 6
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.5238 | 1.0 | 313 | 0.2389 | 12.2734 |
| 0.1035 | 2.0 | 626 | 0.2360 | 11.2041 |
| 0.0381 | 3.0 | 939 | 0.2349 | 10.7857 |
| 0.0134 | 4.0 | 1252 | 0.2512 | 10.5532 |
| 0.0039 | 5.0 | 1565 | 0.2611 | 10.2278 |
| 0.0013 | 6.0 | 1878 | 0.2673 | 10.3673 |
Framework versions
- Transformers 4.33.1
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.13.3
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Base model
openai/whisper-medium