Whisper Turbo Five 5K - Chee Li
This model is a fine-tuned version of openai/whisper-base on the Google Fleurs dataset. It achieves the following results on the evaluation set:
- Loss: 0.1982
- Wer: 8.3488
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: 600
- training_steps: 5000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.0903 | 1.0560 | 1000 | 0.1948 | 9.9042 |
| 0.0389 | 2.1119 | 2000 | 0.1943 | 9.3442 |
| 0.0212 | 3.1679 | 3000 | 0.1958 | 9.0828 |
| 0.0075 | 4.2239 | 4000 | 0.1961 | 8.4626 |
| 0.0018 | 5.2798 | 5000 | 0.1982 | 8.3488 |
Framework versions
- Transformers 4.43.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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Base model
openai/whisper-base