---
language:
- en
metrics:
- recall
- accuracy
- precision
base_model:
- google-bert/bert-base-uncased
license: mit
pipeline_tag: text-classification
tags:
- text-classification
- content-moderation
- toxicity
- explicit-content
- distilbert
---
# Model Card for Model ID

This model card describes the fine-tuned `distilbert-base-uncased` model for multi-class explicit content classification.

**Disclaimer:** The name "CSAM" used for this repository reflects the project's focus on content safety assessment based on the specific categories trained (`neutral`, `toxic`, `profanity`, `sexting`, `sexually_explicit`). This model is **NOT** designed or trained for the detection of Child Sexual Abuse Material, which requires specialized data and methods.

## Model Details

### Model Description

- **Developed by:** Nirav Patel
- **Funded by [optional]:** 
- **Shared by [optional]:** Nirav37
- **Model type:** Sequence Classification (Transformer)
- **Language(s) (NLP):** en (English)
- **License:** 
- **Finetuned from model:** `distilbert-base-uncased`

### Model Sources [optional]

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## Uses

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### Direct Use

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### Downstream Use [optional]

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### Out-of-Scope Use

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## Bias, Risks, and Limitations

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### Recommendations

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Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.

## How to Get Started with the Model

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## Training Details

### Training Data

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### Training Procedure

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#### Preprocessing [optional]

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#### Training Hyperparameters

- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->

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## Evaluation

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### Testing Data, Factors & Metrics

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#### Factors

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#### Metrics

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### Results

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#### Summary



## Model Examination [optional]

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## Environmental Impact

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Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).

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## Technical Specifications [optional]

### Model Architecture and Objective

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## Model Card Authors [optional]

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