fabhaus/whisper-small-eg2

Whisper Small - Egyptian Arabic

This model is a fine-tuned version of openai/whisper-small on the Egyptian Arabic Speech Recognition dataset. It achieves the following results on the evaluation set:

• Loss: 0.1510
• Wer: 8.3289

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: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 500
• training_steps: 5000
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.1195	2.9326	1000	0.1951	19.3987
0.0139	5.8651	2000	0.1341	8.9514
0.0021	8.7977	3000	0.1413	8.7343
0.001	11.7302	4000	0.1489	8.1841
0.0005	14.6628	5000	0.1510	8.3289

Framework versions

• Transformers 4.47.0
• Pytorch 2.4.1.post303
• Datasets 3.2.0
• Tokenizers 0.21.0