mardj0.9.1
This model is a fine-tuned version of faissalb/whisper-medium-ardj-0.9 on the test dataset. It achieves the following results on the evaluation set:
- Loss: 0.2247
- Wer: 8.6663
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: 3000
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss | Wer |
---|---|---|---|---|
0.0101 | 0.93 | 1000 | 0.2324 | 10.5495 |
0.0033 | 1.86 | 2000 | 0.2201 | 8.7862 |
0.001 | 2.78 | 3000 | 0.2247 | 8.6663 |
Framework versions
- Transformers 4.28.0
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.13.3
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