whisper-tiny-en
This model is a fine-tuned version of openai/whisper-tiny on the PolyAI/minds14 dataset. It achieves the following results on the evaluation set:
- Loss: 0.5262
- Wer Ortho: 0.3119
- Wer: 0.3020
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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 20
- training_steps: 200
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer |
|---|---|---|---|---|---|
| 0.4823 | 3.57 | 50 | 0.5315 | 0.3202 | 0.3088 |
| 0.1361 | 7.14 | 100 | 0.4843 | 0.3253 | 0.3161 |
| 0.0563 | 10.71 | 150 | 0.5113 | 0.3106 | 0.3020 |
| 0.0374 | 14.29 | 200 | 0.5262 | 0.3119 | 0.3020 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
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Base model
openai/whisper-tiny