Whisper tiny Id - Dhani
This model is a fine-tuned version of openai/whisper-tiny on the Common Voice 11.0 dataset. It achieves the following results on the evaluation set:
- Loss: 0.5239
- Wer: 36.1645
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: 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 |
|---|---|---|---|---|
| 0.5362 | 1.9305 | 1000 | 0.5488 | 38.4111 |
| 0.2848 | 3.8610 | 2000 | 0.5154 | 36.7087 |
| 0.1704 | 5.7915 | 3000 | 0.5182 | 36.2622 |
| 0.1217 | 7.7220 | 4000 | 0.5239 | 36.1645 |
Framework versions
- Transformers 4.41.0
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
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Base model
openai/whisper-tiny