whisper-lang-id
This model is a fine-tuned version of openai/whisper-tiny on mozilla-foundation/common_voice_11_0 dataset
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
Mozilla foundation/common_voice_11.0
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| No log | 1.0 | 175 | 0.0148 | 0.995 | 0.9950 |
Framework versions
- Transformers 4.48.0.dev0
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0
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Model tree for Lingalingeswaran/whisper-lang-id
Base model
openai/whisper-tiny