Whisper Small Egyptian ASR MGB 3
This model is a fine-tuned version of openai/Whisper-Small-Egyptian-ASR-MGB-3 on the Egyptian-ASR-MGB-3 dataset.
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-06
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 6
- mixed_precision_training: Native AMP
Framework versions
- Transformers 4.44.2
- Pytorch 2.2.1
- Datasets 3.0.0
- Tokenizers 0.19.1
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