Whisper Small Basque
This model is a fine-tuned version of zuazo/whisper-small-es on the mozilla-foundation/common_voice_13_0 eu dataset. It achieves the following results on the evaluation set:
- Loss: 0.4464
- Wer: 19.7639
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
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.047 | 4.04 | 1000 | 0.3386 | 21.7425 |
| 0.0043 | 9.03 | 2000 | 0.3903 | 20.1770 |
| 0.0011 | 14.02 | 3000 | 0.4209 | 19.7801 |
| 0.0008 | 19.02 | 4000 | 0.4381 | 20.0170 |
| 0.0006 | 24.01 | 5000 | 0.4464 | 19.7639 |
Framework versions
- Transformers 4.33.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.14.4
- Tokenizers 0.13.3
- Downloads last month
- 1
Inference Providers
NEW
This model is not currently available via any of the supported third-party Inference Providers, and
the model is not deployed on the HF Inference API.
Model tree for zuazo/whisper-small-eu-from-es
Dataset used to train zuazo/whisper-small-eu-from-es
Evaluation results
- Wer on mozilla-foundation/common_voice_13_0 eutest set self-reported19.764