Whisper Small BPE - cportoca
This model is a fine-tuned version of openai/whisper-small on the Quechua_Spanish_dataset dataset. It achieves the following results on the evaluation set:
- Loss: 2.3697
- Wer: 101.4953
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: 8
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 50
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 2.6981 | 0.0605 | 50 | 2.3697 | 101.4953 |
Framework versions
- Transformers 4.46.3
- Pytorch 2.4.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3
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Model tree for cportoca/whisper-small-BPE
Base model
openai/whisper-smallDataset used to train cportoca/whisper-small-BPE
Evaluation results
- Wer on Quechua_Spanish_datasetself-reported101.495