README.md

metadata

language:
  - ar
license: apache-2.0
base_model: openai/whisper-small
tags:
  - generated_from_trainer
datasets:
  - ayoubkirouane/darija-stt-mix
metrics:
  - wer
model-index:
  - name: Whisper Small Egyptian Arabic
    results:
      - task:
          name: Automatic Speech Recognition
          type: automatic-speech-recognition
        dataset:
          name: Darija STT Mix
          type: ayoubkirouane/darija-stt-mix
        metrics:
          - name: Wer
            type: wer
            value: 62.2927203065134

Whisper Small Egyptian Arabic

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

• Loss: 0.7215
• Wer Ortho: 66.8617
• Wer: 62.2927

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: 50
• training_steps: 500
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer Ortho	Wer
0.6999	0.7825	500	0.7215	66.8617	62.2927

Framework versions

• Transformers 4.42.4
• Pytorch 2.3.1+cu121
• Datasets 2.21.0
• Tokenizers 0.19.1