Whisper Small Id - Dhani
This model is a fine-tuned version of openai/whisper-small on the Common Voice 15.0 dataset. It achieves the following results on the evaluation set:
- Loss: 0.6569
- Wer: 40.9036
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: 8e-06
- train_batch_size: 64
- eval_batch_size: 32
- 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 |
|---|---|---|---|---|
| 0.2799 | 7.6923 | 1000 | 0.5497 | 38.1509 |
| 0.0732 | 15.3846 | 2000 | 0.5844 | 38.1602 |
| 0.0257 | 23.0769 | 3000 | 0.6366 | 39.9348 |
| 0.0164 | 30.7692 | 4000 | 0.6569 | 40.9036 |
Framework versions
- Transformers 4.40.2
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
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openai/whisper-small