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README.md
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language:
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---
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#
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The
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The model was trained with a dataset composed of
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## Details
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- Size
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- Dataset
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- Language
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- Number of
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- Batch
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- Optimizer
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- Learning Rate
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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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@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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# 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},
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