whisper-tiny-arabic-fine-tuned-v2

This model is a fine-tuned version of Mohammadawad1/whisper-tiny-arabic-finetuned-v1 on the common_voice_17_0 dataset. It achieves the following results on the evaluation set:

• Loss: 0.6705
• Wer: 48.6608
• Cer: 18.3751

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
• gradient_accumulation_steps: 2
• total_train_batch_size: 32
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: constant_with_warmup
• lr_scheduler_warmup_steps: 50
• num_epochs: 4
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer	Cer
0.1039	1.0	883	0.5912	47.6739	17.4026
0.076	2.0	1767	0.6078	47.8008	17.7679
0.0597	3.0	2650	0.6399	49.1874	18.6247
0.0374	4.0	3532	0.6705	48.6608	18.3751

Framework versions

• Transformers 4.28.0
• Pytorch 2.6.0+cu124
• Datasets 2.18.0
• Tokenizers 0.13.3