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--- |
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library_name: transformers |
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base_model: Tochka-AI/ruRoPEBert-classic-base-2k |
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tags: |
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- generated_from_trainer |
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metrics: |
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- accuracy |
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- f1 |
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model-index: |
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- name: toxic_generation_classifier |
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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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# toxic_generation_classifier |
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This model is a fine-tuned version of [Tochka-AI/ruRoPEBert-classic-base-2k](https://huggingface.co/Tochka-AI/ruRoPEBert-classic-base-2k) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1611 |
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- Accuracy: 0.9536 |
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- F1: 0.9537 |
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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: 0.0002 |
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- train_batch_size: 32 |
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- eval_batch_size: 32 |
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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: 2 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:| |
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| No log | 1.0 | 149 | 0.1758 | 0.9460 | 0.9457 | |
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| No log | 2.0 | 298 | 0.1611 | 0.9536 | 0.9537 | |
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### Framework versions |
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- Transformers 4.44.2 |
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- Pytorch 2.4.1+cu121 |
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- Datasets 3.0.0 |
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- Tokenizers 0.19.1 |
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