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--- |
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library_name: transformers |
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license: mit |
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base_model: VRLLab/TurkishBERTweet |
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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: TurkishBERTweet2_with_categories |
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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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# TurkishBERTweet2_with_categories |
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This model is a fine-tuned version of [VRLLab/TurkishBERTweet](https://huggingface.co/VRLLab/TurkishBERTweet) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1788 |
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- Precision: 0.3611 |
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- Recall: 0.2006 |
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- F1: 0.2579 |
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- Accuracy: 0.9585 |
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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: 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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- 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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| 0.279 | 1.0 | 298 | 0.2864 | 0.0 | 0.0 | 0.0 | 0.9420 | |
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| 0.2286 | 2.0 | 596 | 0.2713 | 0.25 | 0.0588 | 0.0952 | 0.9472 | |
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| 0.1702 | 3.0 | 894 | 0.2439 | 0.3130 | 0.1148 | 0.1680 | 0.9517 | |
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| 0.1181 | 4.0 | 1192 | 0.2775 | 0.2473 | 0.1261 | 0.1670 | 0.9496 | |
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| 0.0852 | 5.0 | 1490 | 0.3034 | 0.3274 | 0.1541 | 0.2095 | 0.9510 | |
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| 0.0502 | 6.0 | 1788 | 0.3130 | 0.3605 | 0.2353 | 0.2847 | 0.9532 | |
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### Framework versions |
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- Transformers 4.47.1 |
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- Pytorch 2.5.1+cu124 |
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- Datasets 3.2.0 |
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- Tokenizers 0.21.0 |
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