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Model save

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  1. README.md +7 -7
  2. model.safetensors +1 -1
README.md CHANGED
@@ -20,11 +20,11 @@ should probably proofread and complete it, then remove this comment. -->
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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: 0.1591
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- - Precision: 0.9068
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  - Recall: 0.9245
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- - F1: 0.9156
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- - Accuracy: 0.9622
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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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- | 0.2222 | 1.0 | 1250 | 0.1655 | 0.8835 | 0.9037 | 0.8935 | 0.9533 |
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- | 0.1227 | 2.0 | 2500 | 0.1618 | 0.8954 | 0.9199 | 0.9075 | 0.9590 |
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- | 0.0783 | 3.0 | 3750 | 0.1591 | 0.9068 | 0.9245 | 0.9156 | 0.9622 |
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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
model.safetensors CHANGED
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