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@@ -3,23 +3,23 @@ license: apache-2.0
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  language:
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  - en
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  ---
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- # Toxicity_model
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- The Toxicity_model is used to differentiate not toxic from toxic responses.
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- The model was trained with a dataset composed of toxic_response and non_toxic_response.
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  ## Details
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- - Size: 4,689,681 parameters
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- - Dataset: [Toxic Comment Classification Challenge Dataset](https://github.com/tianqwang/Toxic-Comment-Classification-Challenge)
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- - Language: English
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- - Number of Training Steps: 20
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- - Batch size: 16
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- - Optimizer: Adam
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- - Learning Rate: 0.001
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- - GPU: T4
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- - This repository has the source [code used](https://github.com/Nkluge-correa/teeny-tiny_castle/blob/master/ML%20Intro%20Course/15_toxicity_detection.ipynb) to train this model.
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-
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  ## Usage
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  ⚠️ THE EXAMPLES BELOW CONTAIN TOXIC/OFFENSIVE LANGUAGE ⚠️
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  ```
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  # Cite as 🤗
 
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  ```
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  @misc{teenytinycastle,
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  doi = {10.5281/zenodo.7112065},
 
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  language:
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  - en
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  ---
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+ # Toxicity-classifier
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+ The toxicity classifier is used to differentiate between non-toxic and toxic comments.
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+ The model was trained with a dataset composed of toxic and non-toxic comments extracted from web forums.
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  ## Details
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+ - **Size:** 4,689,681 parameters
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+ - **Dataset:** [Toxic Comment Classification Challenge Dataset](https://huggingface.co/datasets/AiresPucrs/toxic-comments)
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+ - **Language:** English
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+ - **Number of Epochs:** 20
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+ - **Batch Size:** 16
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+ - **Optimizer:** Adam
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+ - **Learning Rate:** 0.001
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+ - **Hardware:** Tesla V4
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+ - **Emissions:** Not measured
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+ - **Total Energy Consumption:** Not measured
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  ## Usage
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  ⚠️ THE EXAMPLES BELOW CONTAIN TOXIC/OFFENSIVE LANGUAGE ⚠️
 
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  ```
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  # Cite as 🤗
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+
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  ```
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  @misc{teenytinycastle,
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  doi = {10.5281/zenodo.7112065},