Nonstudio_Studio_Whisper_Medium
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: 0.0313
- Wer: 14.9042
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: 1000
- training_steps: 6000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.0611 | 0.38 | 1000 | 0.0875 | 42.0254 |
| 0.0348 | 0.77 | 2000 | 0.0556 | 29.6840 |
| 0.0195 | 1.15 | 3000 | 0.0459 | 23.8368 |
| 0.0133 | 1.53 | 4000 | 0.0373 | 19.1092 |
| 0.0138 | 1.92 | 5000 | 0.0318 | 16.5962 |
| 0.004 | 2.3 | 6000 | 0.0313 | 14.9042 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.1.1+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1
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Base model
openai/whisper-medium