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special3
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: 0.0008
- Wer: 0.1995
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: 12
- eval_batch_size: 6
- 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 |
|---|---|---|---|---|
| 0.0959 | 2.38 | 1000 | 0.0714 | 2.8063 |
| 0.0152 | 4.75 | 2000 | 0.0111 | 0.4913 |
| 0.0022 | 7.13 | 3000 | 0.0022 | 0.2060 |
| 0.0014 | 9.5 | 4000 | 0.0011 | 0.2188 |
| 0.0008 | 11.88 | 5000 | 0.0008 | 0.1995 |
Framework versions
- Transformers 4.31.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.13.1
- Tokenizers 0.13.3
