yt-special-batch4
This model is a fine-tuned version of openai/whisper-small on the mozilla-foundation/common_voice_9_0 id dataset. It achieves the following results on the evaluation set:
- Loss: 3.6844
- Wer: 28.2343
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: 4
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 5000
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 125.5137 | 0.79 | 1000 | 129.9009 | 149.0002 |
| 67.2464 | 1.59 | 2000 | 59.3172 | 298.8672 |
| 34.7799 | 2.38 | 3000 | 28.5244 | 134.9260 |
| 13.5007 | 3.17 | 4000 | 12.5162 | 51.1457 |
| 7.3781 | 3.97 | 5000 | 3.6844 | 28.2343 |
Framework versions
- Transformers 4.31.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.13.1
- Tokenizers 0.13.3
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Model tree for TheRains/yt-special-batch4
Base model
openai/whisper-smallDataset used to train TheRains/yt-special-batch4
Evaluation results
- Wer on mozilla-foundation/common_voice_9_0 idself-reported28.234