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Training completed!

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  1. README.md +13 -10
  2. model.safetensors +1 -1
README.md CHANGED
@@ -17,8 +17,8 @@ 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 an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.2994
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- - Accuracy: 0.9392
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  ## Model description
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@@ -43,19 +43,22 @@ The following hyperparameters were used during training:
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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- - num_epochs: 7
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | No log | 1.0 | 75 | 0.1725 | 0.935 |
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- | No log | 2.0 | 150 | 0.1828 | 0.9442 |
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- | No log | 3.0 | 225 | 0.1881 | 0.9442 |
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- | No log | 4.0 | 300 | 0.2715 | 0.9317 |
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- | No log | 5.0 | 375 | 0.2700 | 0.94 |
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- | No log | 6.0 | 450 | 0.2824 | 0.9417 |
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- | 0.0995 | 7.0 | 525 | 0.2994 | 0.9392 |
 
 
 
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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: 0.3342
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+ - Accuracy: 0.9433
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  ## Model description
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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+ - num_epochs: 10
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | No log | 1.0 | 75 | 0.1786 | 0.9383 |
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+ | No log | 2.0 | 150 | 0.1796 | 0.945 |
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+ | No log | 3.0 | 225 | 0.2770 | 0.9233 |
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+ | No log | 4.0 | 300 | 0.2481 | 0.9383 |
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+ | No log | 5.0 | 375 | 0.2703 | 0.9408 |
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+ | No log | 6.0 | 450 | 0.2989 | 0.94 |
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+ | 0.0994 | 7.0 | 525 | 0.3262 | 0.9433 |
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+ | 0.0994 | 8.0 | 600 | 0.3299 | 0.9408 |
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+ | 0.0994 | 9.0 | 675 | 0.3213 | 0.9442 |
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+ | 0.0994 | 10.0 | 750 | 0.3342 | 0.9433 |
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  ### Framework versions
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