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  ---
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  license: apache-2.0
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  base_model: cross-encoder/nli-deberta-v3-base
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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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  model-index:
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- - name: test_trainer
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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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- # test_trainer
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- This model is a fine-tuned version of [cross-encoder/nli-deberta-v3-base](https://huggingface.co/cross-encoder/nli-deberta-v3-base) on an unknown dataset.
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- It achieves the following results on the evaluation set:
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- - Loss: 0.8729
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- - Accuracy: 0.6835
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  ## Model description
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- More information needed
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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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- ## Training procedure
 
 
 
 
 
 
 
 
 
 
 
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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: 4
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- - eval_batch_size: 8
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- - seed: 42
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- - gradient_accumulation_steps: 2
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- - total_train_batch_size: 8
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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: 3.0
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-
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- ### Training results
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-
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- | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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- |:-------------:|:------:|:----:|:---------------:|:--------:|
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- | No log | 0.9980 | 245 | 1.2681 | 0.5688 |
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- | No log | 2.0 | 491 | 1.0121 | 0.6651 |
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- | 1.1214 | 2.9939 | 735 | 0.8729 | 0.6835 |
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  ### Framework versions
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  ---
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  license: apache-2.0
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  base_model: cross-encoder/nli-deberta-v3-base
 
 
 
 
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  model-index:
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+ - name: Komainu
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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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+ # Komainu - Content Moderator
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+ This model is a fine-tuned version of [cross-encoder/nli-deberta-v3-base](https://huggingface.co/cross-encoder/nli-deberta-v3-base) on [Daijobu.ai's content moderation dataset](https://huggingface.co/datasets/DaijobuAI/moderation_dataset).
 
 
 
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  ## Model description
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+ This model can identify 9 types of contents to be moderated.
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+ | Category | Output | Definition |
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+ | -------- | ----- | ---------- |
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+ | sexual | `0` | Content meant to arouse sexual excitement, such as the description of sexual activity, or that promotes sexual services (excluding sex education and wellness). |
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+ | hate | `1` | Content that expresses, incites, or promotes hate based on race, gender, ethnicity, religion, nationality, sexual orientation, disability status, or caste. |
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+ | violence | `2` | Content that promotes or glorifies violence or celebrates the suffering or humiliation of others. |
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+ | harassment | `3` | Content that may be used to torment or annoy individuals in real life, or make harassment more likely to occur. |
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+ | self-harm | `4` | Content that promotes, encourages, or depicts acts of self-harm, such as suicide, cutting, and eating disorders. |
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+ | sexual/minors | `5` | Sexual content that includes an individual who is under 18 years old. |
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+ | hate/threatening | `6` | Hateful content that also includes violence or serious harm towards the targeted group. |
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+ | violence/graphic | `7` | Violent content that depicts death, violence, or serious physical injury in extreme graphic detail. |
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+ | fake news | `8` | Fake news
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+ | OK | `9` | OK
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+ ## Intended uses & limitations
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ English language only. Not intended for commercial or production use.
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  ### Framework versions
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