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model
This model is a fine-tuned version of openai/whisper-medium on the None dataset. It achieves the following results on the evaluation set:
- Loss: 5.0046
- Wer: 116.8945
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: 8
- 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: 8000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 1.5232 | 4.95 | 1000 | 3.6227 | 127.2695 |
| 0.0538 | 9.9 | 2000 | 4.3761 | 125.3417 |
| 0.0166 | 14.85 | 3000 | 4.6306 | 114.6863 |
| 0.0008 | 19.8 | 4000 | 4.7625 | 116.3687 |
| 0.0022 | 24.75 | 5000 | 4.9290 | 116.0182 |
| 0.0002 | 29.7 | 6000 | 4.9100 | 118.2264 |
| 0.0001 | 34.65 | 7000 | 4.9886 | 116.5089 |
| 0.0001 | 39.6 | 8000 | 5.0046 | 116.8945 |
Framework versions
- Transformers 4.25.0.dev0
- Pytorch 1.12.0+cu116
- Datasets 2.6.1
- Tokenizers 0.13.1
