Whisper tiny Spanish
This model is a fine-tuned version of openai/whisper-tiny on the mozilla-foundation/common_voice_11_0 es dataset. It achieves the following results on the evaluation set:
- Loss: 0.4412
- Wer: 21.4074
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: 64
- 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: 500
- training_steps: 5000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.5354 | 2.01 | 1000 | 0.5196 | 25.5587 |
| 0.3328 | 4.01 | 2000 | 0.4889 | 24.5940 |
| 0.4702 | 6.02 | 3000 | 0.4589 | 22.8354 |
| 0.2854 | 8.02 | 4000 | 0.4451 | 21.6198 |
| 0.3537 | 10.03 | 5000 | 0.4412 | 21.4074 |
Framework versions
- Transformers 4.26.0.dev0
- Pytorch 1.13.0+cu117
- Datasets 2.7.1.dev0
- Tokenizers 0.13.2
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Dataset used to train arpagon/whisper-tiny-es
Evaluation results
- Wer on mozilla-foundation/common_voice_11_0 estest set self-reported21.407