Whisper medium 12
This model is a fine-tuned version of openai/whisper-medium on the mozilla-foundation/common_voice_11_0 dataset. It achieves the following results on the evaluation set:
- Loss: 1.3270
- Cer: 42.0122
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: 0.0001
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- training_steps: 8000
Training results
| Training Loss | Epoch | Step | Validation Loss | Cer |
|---|---|---|---|---|
| 0.8931 | 1.52 | 1000 | 1.0926 | 48.9439 |
| 0.3041 | 3.03 | 2000 | 1.1069 | 49.5474 |
| 0.1319 | 4.55 | 3000 | 1.1925 | 45.4016 |
| 0.0324 | 6.06 | 4000 | 1.2592 | 44.3186 |
| 0.0245 | 7.58 | 5000 | 1.3014 | 44.2359 |
| 0.0061 | 9.09 | 6000 | 1.3185 | 43.3472 |
| 0.0031 | 10.61 | 7000 | 1.3266 | 42.2767 |
| 0.0007 | 12.12 | 8000 | 1.3270 | 42.0122 |
Framework versions
- Transformers 4.32.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
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