whisper-small-ar-final/README.md

language, license, base_model, tags, metrics, model-index

language	license	base_model	tags	metrics	model-index
ar	apache-2.0	openai/whisper-small	hf-asr-leaderboard generated_from_trainer	wer	name results Whisper Small Arabic - Vashesh Jogani

Whisper Small Arabic - Vashesh Jogani

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

• Loss: 0.6893
• Wer: 1.0

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: 4000

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.8346	0.05	1000	0.8098	1.0
0.7309	0.1	2000	0.7476	1.0
0.686	0.15	3000	0.7093	1.0
0.7186	0.2	4000	0.6893	1.0

Framework versions

• Transformers 4.34.1
• Pytorch 2.1.0
• Datasets 2.14.5
• Tokenizers 0.14.1