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End of training

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README.md ADDED
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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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+
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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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+
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+ # TurkishBERTweet
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+
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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: 0.1966
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+ - Precision: 0.4301
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+ - Recall: 0.3604
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+ - F1: 0.3922
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+ - Accuracy: 0.9591
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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+ |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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+ | 0.1734 | 1.0 | 230 | 0.1177 | 0.1495 | 0.1818 | 0.1641 | 0.9667 |
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+ | 0.1235 | 2.0 | 460 | 0.1159 | 0.4394 | 0.3295 | 0.3766 | 0.9699 |
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+ | 0.0779 | 3.0 | 690 | 0.1331 | 0.3483 | 0.3523 | 0.3503 | 0.9715 |
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+ | 0.0564 | 4.0 | 920 | 0.1152 | 0.4286 | 0.375 | 0.4000 | 0.9756 |
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+ | 0.0302 | 5.0 | 1150 | 0.1620 | 0.3830 | 0.4091 | 0.3956 | 0.9722 |
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+ | 0.0226 | 6.0 | 1380 | 0.1654 | 0.3786 | 0.4432 | 0.4084 | 0.9749 |
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+ | 0.0087 | 7.0 | 1610 | 0.1906 | 0.4875 | 0.4432 | 0.4643 | 0.9750 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.46.2
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+ - Pytorch 2.5.1+cu124
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+ - Datasets 3.1.0
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+ - Tokenizers 0.20.3
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