Whisper Tunisien
This model is a fine-tuned version of openai/whisper-small on the Tunisian_dataset_STT-TTS15s_filtred1.0 dataset. It achieves the following results on the evaluation set:
- Loss: 2.9037
- Wer: 104.9291
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-07
- train_batch_size: 8
- 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: 15000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 1.2369 | 7.7519 | 1000 | 3.2094 | 117.6907 |
| 1.0283 | 15.5039 | 2000 | 3.0674 | 110.6685 |
| 0.9629 | 23.2558 | 3000 | 3.0180 | 130.3174 |
| 0.893 | 31.0078 | 4000 | 2.9887 | 126.7387 |
| 0.835 | 38.7597 | 5000 | 2.9676 | 103.5111 |
| 0.7907 | 46.5116 | 6000 | 2.9500 | 107.2248 |
| 0.7624 | 54.2636 | 7000 | 2.9370 | 107.5625 |
| 0.7624 | 62.0155 | 8000 | 2.9270 | 104.4564 |
| 0.7198 | 69.7674 | 9000 | 2.9200 | 104.3889 |
| 0.6818 | 77.5194 | 10000 | 2.9143 | 111.6138 |
| 0.7245 | 85.2713 | 11000 | 2.9099 | 104.5240 |
| 0.6762 | 93.0233 | 12000 | 2.9071 | 104.5915 |
| 0.6691 | 100.7752 | 13000 | 2.9052 | 104.8616 |
| 0.6366 | 108.5271 | 14000 | 2.9040 | 104.2539 |
| 0.6801 | 116.2791 | 15000 | 2.9037 | 104.9291 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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Model tree for Arbi-Houssem/TunLangModel_test1.12
Base model
openai/whisper-smallDataset used to train Arbi-Houssem/TunLangModel_test1.12
Evaluation results
- Wer on Tunisian_dataset_STT-TTS15s_filtred1.0self-reported104.929