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--- |
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library_name: transformers |
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license: mit |
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base_model: dbmdz/bert-base-turkish-cased |
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tags: |
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- generated_from_trainer |
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metrics: |
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- precision |
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- recall |
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- f1 |
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- accuracy |
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model-index: |
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- name: irem_5e-05_4_5_detect |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# irem_5e-05_4_5_detect |
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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: 0.5701 |
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- Precision: 0.6177 |
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- Recall: 0.4781 |
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- F1: 0.5390 |
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- Accuracy: 0.9124 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 5e-05 |
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- train_batch_size: 4 |
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- eval_batch_size: 4 |
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- seed: 42 |
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- optimizer: Use 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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- lr_scheduler_warmup_ratio: 0.1 |
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- num_epochs: 5 |
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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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| 0.173 | 1.0 | 669 | 0.1389 | 0.2328 | 0.2278 | 0.2303 | 0.9490 | |
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| 0.0999 | 2.0 | 1338 | 0.1502 | 0.3805 | 0.3629 | 0.3715 | 0.9529 | |
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| 0.0629 | 3.0 | 2007 | 0.1825 | 0.3611 | 0.3291 | 0.3444 | 0.9508 | |
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| 0.035 | 4.0 | 2676 | 0.2136 | 0.3857 | 0.3629 | 0.3739 | 0.9526 | |
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| 0.0117 | 5.0 | 3345 | 0.2472 | 0.3816 | 0.3671 | 0.3742 | 0.9523 | |
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### Framework versions |
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- Transformers 4.48.2 |
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- Pytorch 2.6.0+cu124 |
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- Datasets 3.2.0 |
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- Tokenizers 0.21.0 |
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