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whisper-medium-turkish-speech-v1
pnr-svc/whisper-medium-turkish-speech-v1
whisper-medium-turkish-speech-v1 is a machine learning model from pnr-svc. Use it for the machine learning task on the model card, and read the license before you ship it in a product. 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
- License
- apache-2.0
- Model type
- whisper
- Access
- Public
- Created
- Aug 2, 2024
- Updated
- Aug 3, 2024
- SHA
- d6a76755
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 medium tr - Pinar Savci
This model is a fine-tuned version of openai/whisper-medium on the Common Voice 11.0 dataset. It achieves the following results on the evaluation set:
- Loss: 0.1873
- Wer: 15.8254
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
- 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 |
|---|---|---|---|---|
| 0.1672 | 0.2214 | 1000 | 0.2599 | 21.1174 |
| 0.1565 | 0.4429 | 2000 | 0.2309 | 18.6897 |
| 0.1534 | 0.6643 | 3000 | 0.2038 | 17.2712 |
| 0.1205 | 0.8857 | 4000 | 0.1873 | 15.8254 |
Framework versions
- Transformers 4.43.3
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
- Type
- whisper
- License
- apache-2.0
- Languages
- tr
- Created
- Aug 2, 2024
- Updated
- Aug 3, 2024