Whisper Small te - heisenberg3376
This model is a fine-tuned version of openai/whisper-small on the Sonal0205/telugu_whisper_asr dataset. It achieves the following results on the evaluation set:
- Loss: 0.1082
- Wer: 30.0535
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: 4
- 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: 500
- training_steps: 4000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.0923 | 1.0582 | 1000 | 0.1281 | 43.7277 |
| 0.0377 | 2.1164 | 2000 | 0.1060 | 35.0773 |
| 0.0151 | 3.1746 | 3000 | 0.1125 | 32.5505 |
| 0.0063 | 4.2328 | 4000 | 0.1082 | 30.0535 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1
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