Whisper medium ID - Augmented
This model is a fine-tuned version of openai/whisper-medium on the mozilla-foundation/common_voice_12_0 dataset. It achieves the following results on the evaluation set:
- Loss: 0.4065
- Wer: 99.7590
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: 1
- 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: 100
- training_steps: 1000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 1.4562 | 0.02 | 200 | 1.0805 | 106.6186 |
| 1.2687 | 0.05 | 400 | 0.8628 | 90.1909 |
| 1.2806 | 0.07 | 600 | 0.8015 | 98.6233 |
| 0.9542 | 0.1 | 800 | 0.5424 | 99.7379 |
| 0.6867 | 0.12 | 1000 | 0.4065 | 99.7590 |
Framework versions
- Transformers 4.29.0.dev0
- Pytorch 2.0.0+cu117
- Datasets 2.10.1
- Tokenizers 0.13.2
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Dataset used to train TheRains/output-medium-id
Evaluation results
- Wer on mozilla-foundation/common_voice_12_0test set self-reported99.759