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chanhyuk-gd
This model is a fine-tuned version of openai/whisper-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0838
- Wer: 9.4263
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: 3e-05
- train_batch_size: 8
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 200
- training_steps: 3000
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.246 | 0.18 | 500 | 0.2557 | 24.6951 |
| 0.1363 | 0.36 | 1000 | 0.1898 | 18.1750 |
| 0.094 | 0.54 | 1500 | 0.1450 | 14.4255 |
| 0.0842 | 0.72 | 2000 | 0.1100 | 15.4495 |
| 0.0595 | 0.9 | 2500 | 0.0916 | 10.6008 |
| 0.0167 | 1.08 | 3000 | 0.0838 | 9.4263 |
Framework versions
- Transformers 4.31.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3
