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turkish-rte-2
merve/turkish-rte-2
turkish-rte-2 is a text classification model from merve. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as mit.
probably proofread and complete it, then remove this comment. --
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738 MB
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- mit
- Model type
- bert
- Access
- Public
- Created
- Apr 2, 2023
- Updated
- Apr 2, 2023
- SHA
- 603e2a4e
Try a prompt
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
turkish-rte-2
This model is a fine-tuned version of dbmdz/bert-base-turkish-128k-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 0.7020
- Validation Loss: 0.6937
- Epoch: 4
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:
- optimizer: {'name': 'Adam', 'learning_rate': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False}
- training_precision: float32
Training results
| Train Loss | Validation Loss | Epoch |
|---|---|---|
| 0.7029 | 0.6953 | 0 |
| 0.7032 | 0.6998 | 1 |
| 0.7010 | 0.6923 | 2 |
| 0.6984 | 0.6917 | 3 |
| 0.7020 | 0.6937 | 4 |
Framework versions
- Transformers 4.27.4
- TensorFlow 2.12.0
- Datasets 2.11.0
- Tokenizers 0.13.2
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- mit
- Created
- Apr 2, 2023
- Updated
- Apr 2, 2023