whisper-tiny-tamil-telugu-50
This model is a fine-tuned version of openai/whisper-tiny on the Speech Commands dataset. It achieves the following results on the evaluation set:
- Loss: nan
- Accuracy: 0.0682
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: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.7743 | 1.0 | 175 | 1.7643 | 0.2273 |
| 1.7436 | 2.0 | 350 | 1.7635 | 0.2727 |
| 0.0 | 3.0 | 525 | nan | 0.0682 |
| 0.0 | 4.0 | 700 | nan | 0.0682 |
| 0.0 | 5.0 | 875 | nan | 0.0682 |
| 0.0 | 6.0 | 1050 | nan | 0.0682 |
| 0.0 | 7.0 | 1225 | nan | 0.0682 |
| 0.0 | 8.0 | 1400 | nan | 0.0682 |
| 0.0 | 9.0 | 1575 | nan | 0.0682 |
| 0.0 | 10.0 | 1750 | nan | 0.0682 |
Framework versions
- Transformers 4.48.0.dev0
- Pytorch 2.2.2
- Datasets 3.2.0
- Tokenizers 0.21.0
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Base model
openai/whisper-tiny