whisper-large-v3-turbo-arabic/README.md

library_name, license, base_model, tags, datasets, metrics, model-index

library_name	license	base_model	tags	datasets	metrics	model-index
transformers	apache-2.0	openai/whisper-large-v3-turbo	generated_from_trainer	common_voice_11_0	wer	name results whisper-large-v3-turbo-arabic task dataset metrics name type Automatic Speech Recognition automatic-speech-recognition name type config split args common_voice_11_0 common_voice_11_0 ar test[:500] ar name type value Wer wer 31.1455360782715

whisper-large-v3-turbo-arabic

This model is a fine-tuned version of openai/whisper-large-v3-turbo on the common_voice_11_0 dataset. It achieves the following results on the evaluation set:

• Loss: 0.4623
• Wer Ortho: 51.0187
• Wer: 31.1455

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
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: constant_with_warmup
• lr_scheduler_warmup_steps: 30
• training_steps: 100
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer Ortho	Wer
0.3383	0.0416	100	0.4623	51.0187	31.1455

Framework versions

• Transformers 4.45.1
• Pytorch 2.4.1+cu121
• Datasets 3.0.1
• Tokenizers 0.20.0