Whisper-ECU 911
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Whisper openai-whisper-small
This model is a fine-tuned version of openai/whisper-small on the llamadas ecu911 dataset. It achieves the following results on the evaluation set:
- Loss: 1.2704
- Wer: 46.7103
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: 2
- eval_batch_size: 1
- 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: 2000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.655 | 2.6596 | 500 | 0.9276 | 48.2056 |
| 0.0889 | 5.3191 | 1000 | 1.0673 | 46.6355 |
| 0.0219 | 7.9787 | 1500 | 1.2007 | 48.8037 |
| 0.0047 | 10.6383 | 2000 | 1.2704 | 46.7103 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1
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Model tree for UDA-LIDI/openai-whisper-small-es_ecu911-PasoBajo
Base model
openai/whisper-small