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whisper-small-ar
Anass-Srk/whisper-small-ar
whisper-small-ar is a automatic speech recognition model from Anass-Srk. 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
- Aug 25, 2024
- Updated
- Aug 25, 2024
- SHA
- 0e3d6ff5
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-small-ar
This model is a fine-tuned version of openai/whisper-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3220
- Wer: 37.1239
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: 0.0001
- 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: 50
- training_steps: 400
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 1.2845 | 0.2513 | 100 | 1.2540 | 88.7267 |
| 0.9098 | 0.5025 | 200 | 0.8130 | 76.2804 |
| 0.4903 | 0.7538 | 300 | 0.5251 | 55.3367 |
| 0.3246 | 1.0050 | 400 | 0.3220 | 37.1239 |
Framework versions
- Transformers 4.44.1
- Pytorch 2.4.0+cu124
- Datasets 2.21.0
- Tokenizers 0.19.1
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Created
- Aug 25, 2024
- Updated
- Aug 25, 2024