CORAA-MUPE-ASR distil-whisper fine-tuned
This model is a fine-tuned version of RodrigoLimaRFL/distil-whisper-nurc-sp-fine-tuned on the CORAA-MUPE-ASR dataset. It achieves the following results on the evaluation set:
- Loss: 0.3488
- Wer: 15.2736
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: 5000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.4451 | 0.0558 | 1000 | 0.4482 | 18.5598 |
| 0.4006 | 0.1116 | 2000 | 0.4095 | 17.3061 |
| 0.2992 | 0.1674 | 3000 | 0.3848 | 16.5660 |
| 0.2781 | 0.2232 | 4000 | 0.3609 | 15.5857 |
| 0.2839 | 0.2790 | 5000 | 0.3488 | 15.2736 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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Base model
RodrigoLimaRFL/distil-large-nurc-sp