Model save
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README.md
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This model is a fine-tuned version of [dbmdz/bert-base-turkish-cased](https://huggingface.co/dbmdz/bert-base-turkish-cased) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Precision: 0.
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- Recall: 0.9245
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- F1: 0.
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- Accuracy: 0.
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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### Framework versions
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This model is a fine-tuned version of [dbmdz/bert-base-turkish-cased](https://huggingface.co/dbmdz/bert-base-turkish-cased) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1560
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- Precision: 0.9099
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- Recall: 0.9245
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- F1: 0.9171
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- Accuracy: 0.9629
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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| 0.2198 | 1.0 | 1250 | 0.1644 | 0.8814 | 0.9053 | 0.8932 | 0.9538 |
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| 0.1222 | 2.0 | 2500 | 0.1549 | 0.9020 | 0.9195 | 0.9107 | 0.9602 |
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| 0.0766 | 3.0 | 3750 | 0.1560 | 0.9099 | 0.9245 | 0.9171 | 0.9629 |
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### Framework versions
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model.safetensors
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