End of training
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- model.safetensors +1 -1
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 an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss:
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- Precision: 0.
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- Recall: 0.
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- F1: 0.
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- Accuracy: 0.
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## Model description
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1
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| No log | 1.0 |
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| No log | 2.0 |
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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 an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.3239
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- Precision: 0.8504
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- Recall: 0.8809
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- F1: 0.8654
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- Accuracy: 0.9374
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## Model description
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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| No log | 1.0 | 22 | 0.6944 | 0.5741 | 0.5709 | 0.5725 | 0.8288 |
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| No log | 2.0 | 44 | 0.3034 | 0.6513 | 0.7202 | 0.6840 | 0.9087 |
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| 0.9588 | 3.0 | 66 | 0.2329 | 0.7842 | 0.8658 | 0.8230 | 0.9333 |
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| 0.9588 | 4.0 | 88 | 0.2129 | 0.8108 | 0.8507 | 0.8303 | 0.9352 |
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| 0.1537 | 5.0 | 110 | 0.2101 | 0.8190 | 0.8469 | 0.8327 | 0.9345 |
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| 0.1537 | 6.0 | 132 | 0.2487 | 0.8427 | 0.8809 | 0.8614 | 0.9390 |
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| 0.0776 | 7.0 | 154 | 0.2302 | 0.8369 | 0.8828 | 0.8592 | 0.9420 |
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| 0.0776 | 8.0 | 176 | 0.2696 | 0.8684 | 0.8979 | 0.8829 | 0.9404 |
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| 0.0776 | 9.0 | 198 | 0.2801 | 0.8391 | 0.8771 | 0.8577 | 0.9367 |
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| 0.0356 | 10.0 | 220 | 0.2912 | 0.8437 | 0.8979 | 0.8700 | 0.9409 |
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| 0.0356 | 11.0 | 242 | 0.3239 | 0.8504 | 0.8809 | 0.8654 | 0.9374 |
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### Framework versions
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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size 440170348
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