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whisper-small-en-v3
This model is a fine-tuned version of noeinatha/whisper-small-en-v2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.8348
- Wer: 86.0135
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: 500
- training_steps: 4000
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.0 | 2.31 | 1000 | 1.8307 | 49.0292 |
| 0.0 | 4.63 | 2000 | 1.8360 | 65.7005 |
| 0.0 | 6.94 | 3000 | 1.8356 | 82.1213 |
| 0.0 | 9.26 | 4000 | 1.8348 | 86.0135 |
Framework versions
- Transformers 4.29.0.dev0
- Pytorch 2.0.0+cu117
- Datasets 2.11.0
- Tokenizers 0.13.3
