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--- |
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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: BERTurk_hate_span_all |
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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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# BERTurk_hate_span_all |
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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: 0.1292 |
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- Precision: 0.6325 |
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- Recall: 0.5175 |
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- F1: 0.5692 |
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- Accuracy: 0.9700 |
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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: 8 |
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- eval_batch_size: 8 |
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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 | Precision | Recall | F1 | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:| |
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| 0.1724 | 1.0 | 230 | 0.1273 | 0.2477 | 0.4907 | 0.3292 | 0.9597 | |
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| 0.1228 | 2.0 | 460 | 0.1410 | 0.3866 | 0.4259 | 0.4053 | 0.9684 | |
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| 0.0564 | 3.0 | 690 | 0.1094 | 0.3955 | 0.4907 | 0.4380 | 0.9719 | |
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| 0.0414 | 4.0 | 920 | 0.1226 | 0.5192 | 0.5 | 0.5094 | 0.9739 | |
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| 0.0165 | 5.0 | 1150 | 0.1548 | 0.4359 | 0.4722 | 0.4533 | 0.9713 | |
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| 0.0069 | 6.0 | 1380 | 0.1959 | 0.5604 | 0.4722 | 0.5126 | 0.9749 | |
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### Framework versions |
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- Transformers 4.42.4 |
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- Pytorch 2.3.1+cu121 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
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