Whisper Small Dv - khaled lakhdher
This model is a fine-tuned version of openai/whisper-small on the ylacombe/english_dialects dataset. It achieves the following results on the evaluation set:
- Loss: 0.2430
- Wer Ortho: 6.5898
- Wer: 6.0065
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: 16
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: constant_with_warmup
- lr_scheduler_warmup_steps: 50
- training_steps: 500
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer |
|---|---|---|---|---|---|
| 0.0002 | 19.2308 | 500 | 0.2430 | 6.5898 | 6.0065 |
Framework versions
- Transformers 4.48.3
- Pytorch 2.5.1+cu124
- Datasets 3.3.2
- Tokenizers 0.21.0
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Model tree for KhaledLakhdher/whisper-small-dv
Base model
openai/whisper-smallDataset used to train KhaledLakhdher/whisper-small-dv
Evaluation results
- Wer on ylacombe/english_dialectsself-reported6.006