Whisper Small Spanish
This model is a fine-tuned version of juancopi81/whisper-medium-es on the mozilla-foundation/common_voice_11_0 es dataset. It achieves the following results on the evaluation set:
- Loss: 0.2338
- Wer: 95.6181
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: 3e-05
- train_batch_size: 64
- eval_batch_size: 32
- seed: 42
- distributed_type: multi-GPU
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 10
- training_steps: 100
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.1432 | 1.0 | 100 | 0.2338 | 95.6181 |
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 juancopi81/whisper-medium-es-train-valid-bs-64
Evaluation results
- Wer on mozilla-foundation/common_voice_11_0 estest set self-reported95.618