Whisper-Anuj-small-Tamil
This model is a fine-tuned version of openai/whisper-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1454
- Wer: 44.0964
- Cer: 9.0478
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: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 1800
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
|---|---|---|---|---|---|
| 0.1086 | 3.0 | 600 | 0.1286 | 60.0 | 19.7609 |
| 0.0132 | 6.0 | 1200 | 0.1274 | 45.6225 | 9.3391 |
| 0.001 | 9.0 | 1800 | 0.1454 | 44.0964 | 9.0478 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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Model tree for Anujgr8/Whisper-Anuj-small-Tamil
Base model
openai/whisper-small