Whisper Small pt - thiagoms
This model is a fine-tuned version of openai/whisper-small on the Common Voice 13 dataset. It achieves the following results on the evaluation set:
- Loss: 0.2549
- Wer Ortho: 266.0002
- Wer: 302.8604
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: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant_with_warmup
- lr_scheduler_warmup_steps: 50
- training_steps: 500
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer |
|---|---|---|---|---|---|
| 0.2453 | 0.28 | 500 | 0.2549 | 266.0002 | 302.8604 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.0+cu117
- Datasets 2.14.4
- Tokenizers 0.13.3
- Downloads last month
- 6
Model tree for thiagoms7/whisper-small-pt
Base model
openai/whisper-smallDataset used to train thiagoms7/whisper-small-pt
Evaluation results
- Wer on Common Voice 13test set self-reported302.860