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bert-base-turkish-finetuned-nli
aniltepe/bert-base-turkish-finetuned-nli
bert-base-turkish-finetuned-nli is a text classification model from aniltepe. 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.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- mit
- Model type
- bert
- Access
- Public
- Created
- Jan 22, 2024
- Updated
- Jan 29, 2024
- SHA
- 2b21e939
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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. -->
bert-base-turkish-finetuned-nli
This model is a fine-tuned version of dbmdz/bert-base-turkish-cased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.8256
- Accuracy: 0.7192
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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.7372 | 1.0 | 4594 | 0.6946 | 0.7048 |
| 0.5846 | 2.0 | 9188 | 0.7168 | 0.7141 |
| 0.4039 | 3.0 | 13782 | 0.8256 | 0.7192 |
| 0.2594 | 4.0 | 18376 | 1.0364 | 0.7150 |
| 0.2031 | 5.0 | 22970 | 1.3181 | 0.7139 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- mit
- Created
- Jan 22, 2024
- Updated
- Jan 29, 2024