Whisper Small ID - The Court Football Metrics - Amir Husein
This model is a fine-tuned version of openai/whisper-small on the The Court Football Metrics v1 dataset. It achieves the following results on the evaluation set:
- Loss: 0.2534
- Wer: 1.7964
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: 0.0001
- 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
- training_steps: 500
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.1179 | 3.7037 | 100 | 0.2313 | 34.2814 |
| 0.0348 | 7.4074 | 200 | 0.2055 | 3.1437 |
| 0.0016 | 11.1111 | 300 | 0.2503 | 1.9461 |
| 0.0001 | 14.8148 | 400 | 0.2483 | 1.7964 |
| 0.0001 | 18.5185 | 500 | 0.2534 | 1.7964 |
Framework versions
- Transformers 4.42.3
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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Base model
openai/whisper-small