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oglcnarbc
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turkish-case-classifier

Text Classification
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Safetensors
bert
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  1. README.md +12 -5
  2. model.safetensors +1 -1
  3. runs/May16_14-40-33_Y7V57F4XH3/events.out.tfevents.1747395634.Y7V57F4XH3.88498.0 +2 -2
README.md CHANGED
@@ -16,7 +16,7 @@ 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: 2.4616
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  ## Model description
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@@ -41,15 +41,22 @@ The following hyperparameters were used during training:
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  - seed: 42
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  - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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  - lr_scheduler_type: linear
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- - num_epochs: 3
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | No log | 1.0 | 3 | 2.5042 |
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- | No log | 2.0 | 6 | 2.4780 |
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- | No log | 3.0 | 9 | 2.4616 |
 
 
 
 
 
 
 
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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: 2.1595
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  ## Model description
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  - seed: 42
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  - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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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 |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | No log | 1.0 | 3 | 2.2736 |
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+ | No log | 2.0 | 6 | 2.2883 |
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+ | No log | 3.0 | 9 | 2.2578 |
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+ | No log | 4.0 | 12 | 2.2235 |
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+ | No log | 5.0 | 15 | 2.2047 |
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+ | No log | 6.0 | 18 | 2.1906 |
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+ | No log | 7.0 | 21 | 2.1771 |
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+ | No log | 8.0 | 24 | 2.1677 |
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+ | No log | 9.0 | 27 | 2.1624 |
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+ | No log | 10.0 | 30 | 2.1595 |
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  ### Framework versions
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