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Whisper Tunisien

This model is a fine-tuned version of openai/whisper-medium on the comondov dataset. It achieves the following results on the evaluation set:

  • Loss: 6.9324
  • Wer: 100.4052

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: 2000
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Wer
1.5017 100.0 300 6.1135 163.5332
0.0224 200.0 600 6.5103 105.8347
0.0101 300.0 900 6.8122 105.8347
0.0095 400.0 1200 6.8766 100.0
0.0093 500.0 1500 6.9174 100.0
0.0091 600.0 1800 6.9324 100.4052

Framework versions

  • Transformers 4.41.0.dev0
  • Pytorch 2.2.1+cu121
  • Datasets 2.19.1
  • Tokenizers 0.19.1
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Safetensors
Model size
242M params
Tensor type
F32
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Finetuned from

Dataset used to train Arbi-Houssem/TunLangModel

Evaluation results