superb_si_42
This model is a fine-tuned version of openai/whisper-small on the superb dataset. It achieves the following results on the evaluation set:
- Loss: 1.3340
- Accuracy: 0.6981
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: 5e-05
- train_batch_size: 32
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 4.336 | 1.0 | 4324 | 4.4014 | 0.1677 |
| 2.1666 | 2.0 | 8648 | 2.2753 | 0.4917 |
| 1.3462 | 3.0 | 12972 | 1.5534 | 0.6404 |
| 0.8977 | 4.0 | 17296 | 1.7355 | 0.6130 |
| 0.6753 | 5.0 | 21620 | 1.3340 | 0.6981 |
| 0.5245 | 6.0 | 25944 | 1.3144 | 0.6947 |
| 0.3841 | 7.0 | 30268 | 1.5415 | 0.6519 |
| 0.2964 | 8.0 | 34592 | 1.4111 | 0.6812 |
| 0.2347 | 9.0 | 38916 | 1.6359 | 0.6370 |
| 0.1763 | 10.0 | 43240 | 1.5426 | 0.6590 |
Framework versions
- Transformers 4.40.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1
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