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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Model tree for Dimi3/african_french_accent-ASR
Base model
openai/whisper-tiny