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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: TurkishBERTweet |
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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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# TurkishBERTweet |
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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: 0.1493 |
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- Precision: 0.5667 |
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- Recall: 0.3527 |
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- F1: 0.4348 |
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- Accuracy: 0.9576 |
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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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| 0.1928 | 1.0 | 298 | 0.1833 | 0.5289 | 0.2278 | 0.3184 | 0.9471 | |
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| 0.1299 | 2.0 | 596 | 0.2261 | 0.4174 | 0.3238 | 0.3647 | 0.9456 | |
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| 0.0756 | 3.0 | 894 | 0.2298 | 0.4713 | 0.4093 | 0.4381 | 0.9504 | |
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| 0.0447 | 4.0 | 1192 | 0.2779 | 0.5556 | 0.3915 | 0.4593 | 0.9523 | |
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### Framework versions |
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- Transformers 4.48.1 |
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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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