Open-source text classification model modernbert-llm-router - Achieve high-precision text classification with free deployment

Modernbert Llm Router

Developed by SunitOutreach

Fine-tuned model based on BERT-base for text classification tasks, achieving an F1 score of 0.9313 on the evaluation set

Large Language Model

Transformers

Open Source License:Apache-2.0 #High-precision text classification #BERT fine-tuned model #Excellent F1 performance

Downloads 15

Release Time : 1/1/2025

Model Overview

This model is a fine-tuned version of google-bert/bert-base-uncased, primarily used for text classification tasks. The model performs exceptionally well on the evaluation set, achieving an F1 score of 0.9313.

Model Features

High-performance text classification

Achieves an outstanding F1 score of 0.9313 on the evaluation set

Based on BERT architecture

Utilizes the proven BERT-base architecture with strong text comprehension capabilities

Efficient fine-tuning

Requires only 5 training epochs to achieve high performance

Model Capabilities

Text classification

Natural language understanding

Use Cases

Text analysis

Sentiment analysis

Can be used to analyze the sentiment tendency of text

F1 score 0.9313

Intent recognition

Identify the intent category of user input

Training Loss	Epoch	Step	Validation Loss	F1
1.7122	1.0	313	1.2500	0.7701
0.5525	2.0	626	0.4919	0.9055
0.2615	3.0	939	0.3544	0.9202
0.1423	4.0	1252	0.3026	0.9293
0.0763	5.0	1565	0.2928	0.9313

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Modernbert Llm Router

Model Overview

Model Features

Model Capabilities

Use Cases

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Training and evaluation data

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