Whisper Chilean Spanish Small
This model is a fine-tuned version of openai/whisper-base on the Mezosky/es_clinical_assistance dataset. It achieves the following results on the evaluation set:
- Loss: 4.4659
- Wer: 204.9755
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 1000
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 4.6451 | 6.25 | 100 | 4.5135 | 105.7912 |
| 3.2485 | 12.5 | 200 | 3.3821 | 126.5905 |
| 2.3839 | 18.75 | 300 | 2.9779 | 215.0897 |
| 1.6538 | 25.0 | 400 | 3.0304 | 212.1533 |
| 0.887 | 31.25 | 500 | 3.4092 | 221.3703 |
| 0.3317 | 37.5 | 600 | 3.7754 | 191.3540 |
| 0.1065 | 43.75 | 700 | 4.0480 | 235.1550 |
| 0.0374 | 50.0 | 800 | 4.2473 | 185.4812 |
| 0.0173 | 56.25 | 900 | 4.4145 | 187.5204 |
| 0.014 | 62.5 | 1000 | 4.4659 | 204.9755 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.2.2+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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Model tree for Mezosky/whisper-base-clinical-assistance
Base model
openai/whisper-baseEvaluation results
- Wer on Mezosky/es_clinical_assistanceself-reported204.976