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: 48.704815730601666

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: 0.6617
• Wer Ortho: 52.9142
• Wer: 48.7048

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: 2e-05
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 16
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 200
• training_steps: 1000
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer Ortho	Wer
0.6715	0.8203	500	0.7303	64.8593	60.5440
0.4268	1.6407	1000	0.6617	52.9142	48.7048

Framework versions

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