Update README.md

README.md

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-
 ---
 library_name: transformers
 tags:
@@ -6,22 +5,43 @@ tags:
 - text-classification
 base_model: TaylorAI/gte-tiny
 widget:
-- text: "I love AutoTrain"
+- text: I love AutoTrain
+datasets:
+- trentmkelly/gpt-slop-2
 ---
 
-# Model Trained Using AutoTrain
+# slop-detector-mini-2 Model Card
+
+## Overview
+
+Binary text classification model for detecting AI-generated content in Reddit comments. Optimized for client-side inference via Transformers.js in browser extensions.
+
+**Repository**: [reddit-llm-comment-detector](https://github.com/trentmkelly/reddit-llm-comment-detector)
+
+## Model Details
 
-- Problem type: Text Classification
+- **Problem Type**: Binary Text Classification
+- **Training**: AutoTrain framework
+- **Domain**: Reddit-style conversational text
+- **Deployment**: Browser-based inference (ONNX/Transformers.js)
 
-## Validation Metrics
-loss: 0.04163680970668793
+## Performance Metrics
 
-f1: 0.9911573288058857
+| Metric | Value |
+|--------|-------|
+| **Loss** | 0.04163680970668793 |
+| **F1 Score** | 0.9911573288058857 |
+| **Precision** | 0.985579628587507 |
+| **Recall** | 0.9967985202048947 |
+| **AUC** | 0.9997115393414552 |
+| **Accuracy** | 0.991107000569152 |
 
-precision: 0.985579628587507
+## Usage
 
-recall: 0.9967985202048947
+Used in browser extensions for real-time detection of AI-generated Reddit comments. Comments with >50% confidence scores are flagged for users.
 
-auc: 0.9997115393414552
+## Limitations
 
-accuracy: 0.991107000569152
+- Optimized for Reddit-style text; may vary on formal content
+- English language focused
+- No detection system is 100% accurate