Whisper Small FIFA_commentary
This model is a fine-tuned version of openai/whisper-small on the FIFA_commentary dataset. It achieves the following results on the evaluation set:
- Loss: 1.3180
- Wer: 24.6006
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: 50
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 5.3487 | 1.0 | 12 | 4.7958 | 46.0064 |
| 4.6559 | 2.0 | 24 | 3.5936 | 38.9776 |
| 3.5187 | 3.0 | 36 | 2.0147 | 30.3514 |
| 2.2037 | 4.0 | 48 | 1.4929 | 30.0319 |
| 1.054 | 5.0 | 60 | 1.3180 | 24.6006 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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Model tree for jmcastelo17/whisper-small-FIFA-1
Base model
openai/whisper-smallDataset used to train jmcastelo17/whisper-small-FIFA-1
Evaluation results
- Wer on FIFA_commentaryself-reported24.601