whisper-medium-ft-GPT
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: 0.4126
- Wer: 16.1319
- Gpt: 8.1573
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 | Gpt |
|---|---|---|---|---|---|
| 1.4571 | 1.0 | 63 | 0.4337 | 33.9572 | 8.0230 |
| 0.176 | 2.0 | 126 | 0.3830 | 31.2834 | 7.9877 |
| 0.0563 | 3.0 | 189 | 0.3942 | 16.5775 | 8.1149 |
| 0.0192 | 4.0 | 252 | 0.4223 | 15.6863 | 7.9620 |
| 0.0079 | 5.0 | 315 | 0.4049 | 15.5080 | 7.6897 |
| 0.0023 | 6.0 | 378 | 0.4126 | 16.1319 | 8.1573 |
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