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whisper-medium-ft-17000
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: 0.2319
- Wer: 8.5169
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 |
|---|---|---|---|---|
| 0.297 | 1.0 | 1063 | 0.2056 | 11.1111 |
| 0.0869 | 2.0 | 2126 | 0.1926 | 10.4258 |
| 0.0355 | 3.0 | 3189 | 0.1984 | 8.9574 |
| 0.0126 | 4.0 | 4252 | 0.2188 | 9.4958 |
| 0.0038 | 5.0 | 5315 | 0.2198 | 8.6637 |
| 0.001 | 6.0 | 6378 | 0.2319 | 8.5169 |
Framework versions
- Transformers 4.33.1
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.13.3
