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Whisper Base Noisy
This model is a fine-tuned version of openai/whisper-base on the Noisy Common Voice dataset. It achieves the following results on the evaluation set:
- Loss: 1.4454
- Wer: 59.3212
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: 8
- 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: 4000
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.3125 | 3.19 | 1000 | 1.0918 | 56.8476 |
| 0.0585 | 6.39 | 2000 | 1.2650 | 58.9703 |
| 0.0153 | 9.58 | 3000 | 1.3946 | 58.3412 |
| 0.0066 | 12.78 | 4000 | 1.4454 | 59.3212 |
Framework versions
- Transformers 4.30.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
