Whisper Base (Finetuned on French)
This model is a fine-tuned version of openai/whisper-base on the facebook/voxpopuli and the mozilla-foundation/common_voice_11_0 datasets. It achieves the following results on the evaluation set:
- eval_loss: 0.5654
- eval_model_preparation_time: 0.0029
- eval_wer: 0.3546
- eval_cer: 0.2131
- eval_runtime: 210.7164
- eval_samples_per_second: 2.43
- eval_steps_per_second: 0.304
- step: 15045
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: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- training_steps: 16000
- mixed_precision_training: Native AMP
Framework versions
- Transformers 4.49.0
- Pytorch 2.5.1+cu124
- Datasets 3.3.2
- Tokenizers 0.21.0
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Base model
openai/whisper-base