README.md

metadata

language:
  - fr
license: apache-2.0
base_model: openai/whisper-tiny
tags:
  - generated_from_trainer
datasets:
  - gigant/african_accented_french
metrics:
  - wer
model-index:
  - name: Whisper tiny Fr - Dimi3
    results:
      - task:
          name: Automatic Speech Recognition
          type: automatic-speech-recognition
        dataset:
          name: African accented french
          type: gigant/african_accented_french
          config: fr
          split: None
          args: fr
        metrics:
          - name: Wer
            type: wer
            value: 121.30115424973766

Whisper tiny Fr - Dimi3

This model is a fine-tuned version of openai/whisper-tiny on the African accented french dataset. It achieves the following results on the evaluation set:

• Loss: 0.9985
• Wer: 121.3012

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: 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
• num_epochs: 1
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.7444	1.0	587	0.9985	121.3012

Framework versions

• Transformers 4.41.2
• Pytorch 2.1.2
• Datasets 2.19.2
• Tokenizers 0.19.1