MostafaKhidr/whisper-medium-ar

Whisper Medium Ar - Mostafa Khedr

This model is a fine-tuned version of openai/whisper-medium on the Common Voice 11.0 dataset. It achieves the following results on the evaluation set:

• Loss: 0.2694
• Wer: 38.0957

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: 5000
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.2458	0.4156	1000	0.3291	42.8960
0.2301	0.8313	2000	0.2966	42.4461
0.1394	1.2469	3000	0.2905	41.3148
0.108	1.6625	4000	0.2722	38.6282
0.0534	2.0781	5000	0.2694	38.0957

Framework versions

• Transformers 4.43.3
• Pytorch 2.4.1+cu121
• Datasets 3.1.0
• Tokenizers 0.19.1