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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
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Dataset used to train Dimi3/african_french_accent-ASR

Evaluation results