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06-12-15-37

Text Classification
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Safetensors
bert
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Detectivision/sequence-detect-tr-180-4

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  1. README.md +84 -0
  2. config.json +38 -0
  3. model.safetensors +3 -0
  4. sequence-detect-tr-180-4/config.json +38 -0
  5. sequence-detect-tr-180-4/model.safetensors +3 -0
  6. sequence-detect-tr-180-4/special_tokens_map.json +7 -0
  7. sequence-detect-tr-180-4/tokenizer.json +0 -0
  8. sequence-detect-tr-180-4/tokenizer_config.json +59 -0
  9. sequence-detect-tr-180-4/training_args.bin +3 -0
  10. sequence-detect-tr-180-4/vocab.txt +0 -0
  11. special_tokens_map.json +7 -0
  12. tokenizer.json +0 -0
  13. tokenizer_config.json +59 -0
  14. training_args.bin +3 -0
  15. vocab.txt +0 -0
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: dbmdz/bert-base-turkish-cased
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: 06-12-15-37
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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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+ # 06-12-15-37
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+
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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 an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.2773
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+ - Hate Precision: 0.7778
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+ - Hate Recall: 0.5385
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+ - Hate F1: 0.6364
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+ - Sexual Precision: 0.0
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+ - Sexual Recall: 0.0
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+ - Sexual F1: 0.0
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+ - Threat Precision: 0.0
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+ - Threat Recall: 0.0
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+ - Threat F1: 0.0
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+ - Neutral Precision: 0.8378
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+ - Neutral Recall: 0.9688
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+ - Neutral F1: 0.8986
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+ - Macro Precision: 0.4039
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+ - Macro Recall: 0.3768
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+ - Macro F1: 0.3837
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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: 2e-05
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+ - train_batch_size: 16
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+ - eval_batch_size: 16
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+ - seed: 42
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+ - optimizer: Use OptimizerNames.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 | Hate Precision | Hate Recall | Hate F1 | Sexual Precision | Sexual Recall | Sexual F1 | Threat Precision | Threat Recall | Threat F1 | Neutral Precision | Neutral Recall | Neutral F1 | Macro Precision | Macro Recall | Macro F1 |
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+ |:-------------:|:------:|:----:|:---------------:|:--------------:|:-----------:|:-------:|:----------------:|:-------------:|:---------:|:----------------:|:-------------:|:---------:|:-----------------:|:--------------:|:----------:|:---------------:|:------------:|:--------:|
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+ | 0.6107 | 0.8333 | 10 | 0.4510 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.7111 | 1.0 | 0.8312 | 0.1778 | 0.25 | 0.2078 |
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+ | 0.4163 | 1.6667 | 20 | 0.3613 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.7111 | 1.0 | 0.8312 | 0.1778 | 0.25 | 0.2078 |
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+ | 0.3561 | 2.5 | 30 | 0.3459 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.7111 | 1.0 | 0.8312 | 0.1778 | 0.25 | 0.2078 |
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+ | 0.3446 | 3.3333 | 40 | 0.3395 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.7111 | 1.0 | 0.8312 | 0.1778 | 0.25 | 0.2078 |
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+ | 0.3002 | 4.1667 | 50 | 0.3270 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.7143 | 0.9375 | 0.8108 | 0.1786 | 0.2344 | 0.2027 |
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+ | 0.2912 | 5.0 | 60 | 0.3357 | 0.75 | 0.2308 | 0.3529 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.7381 | 0.9688 | 0.8378 | 0.3720 | 0.2999 | 0.2977 |
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+ | 0.2355 | 5.8333 | 70 | 0.3359 | 0.75 | 0.2308 | 0.3529 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.7561 | 0.9688 | 0.8493 | 0.3765 | 0.2999 | 0.3006 |
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+ | 0.2017 | 6.6667 | 80 | 0.2989 | 0.6667 | 0.4615 | 0.5455 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.8056 | 0.9062 | 0.8529 | 0.3681 | 0.3419 | 0.3496 |
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+ | 0.1988 | 7.5 | 90 | 0.2904 | 0.7 | 0.5385 | 0.6087 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.8286 | 0.9062 | 0.8657 | 0.3821 | 0.3612 | 0.3686 |
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+ | 0.1476 | 8.3333 | 100 | 0.3351 | 0.6667 | 0.1538 | 0.25 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.7381 | 0.9688 | 0.8378 | 0.3512 | 0.2806 | 0.2720 |
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+ | 0.1846 | 9.1667 | 110 | 0.2774 | 0.7778 | 0.5385 | 0.6364 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.8333 | 0.9375 | 0.8824 | 0.4028 | 0.3690 | 0.3797 |
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+ | 0.1347 | 10.0 | 120 | 0.2773 | 0.7778 | 0.5385 | 0.6364 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.8378 | 0.9688 | 0.8986 | 0.4039 | 0.3768 | 0.3837 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.47.0
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+ - Pytorch 2.5.1+cu124
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+ - Datasets 3.1.0
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+ - Tokenizers 0.21.0
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