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whisper-small-turkish-1
tgrhn/whisper-small-turkish-1
whisper-small-turkish-1 is a automatic speech recognition model from tgrhn. 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
- Jan 22, 2025
- Updated
- Jan 23, 2025
- SHA
- 60084cf5
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-turkish-1
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: 0.2587
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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 6
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.2364 | 1.0684 | 1000 | 0.2548 |
| 0.1517 | 2.1368 | 2000 | 0.2436 |
| 0.1001 | 3.2051 | 3000 | 0.2467 |
| 0.0677 | 4.2735 | 4000 | 0.2511 |
| 0.0476 | 5.3419 | 5000 | 0.2587 |
Framework versions
- Transformers 4.48.1
- Pytorch 2.5.1+cu124
- Datasets 2.18.0
- Tokenizers 0.21.0
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Created
- Jan 22, 2025
- Updated
- Jan 23, 2025