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TunLangModel1.6
Arbi-Houssem/TunLangModel1.6
TunLangModel1.6 is a automatic speech recognition model from Arbi-Houssem. Use it when you need speech turned into text. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Automatic Speech Recognition
- Library
- transformers
- License
- apache-2.0
- Model type
- whisper
- Access
- Public
- Created
- Jun 8, 2024
- Updated
- Jun 9, 2024
- SHA
- 2e1dabb6
Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
Whisper Tunisien
This model is a fine-tuned version of openai/whisper-small on the Tunisian_dataset_STT-TTS1 dataset. It achieves the following results on the evaluation set:
- Loss: 2.9262
- Wer: 99.4163
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-06
- train_batch_size: 8
- eval_batch_size: 16
- 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: 4000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.565 | 10.3093 | 1000 | 2.7181 | 99.5460 |
| 0.2875 | 20.6186 | 2000 | 2.7486 | 106.3554 |
| 0.1701 | 30.9278 | 3000 | 2.8744 | 103.2425 |
| 0.1375 | 41.2371 | 4000 | 2.9262 | 99.4163 |
Framework versions
- Transformers 4.42.0.dev0
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Languages
- ar
- Created
- Jun 8, 2024
- Updated
- Jun 9, 2024