whisper-small-tamazight-ar
This model is a fine-tuned version of openai/whisper-small on the Tamazight Speech to Arabic Text dataset. It achieves the following results on the evaluation set:
- Loss: 2.2424
- Wer: 113.4340
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: 1000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 2.2389 | 0.87 | 1000 | 2.2424 | 113.4340 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.6.0+cu124
- Datasets 2.14.6
- Tokenizers 0.15.2
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