Model Ner Master
Model fine-tuned based on ModernBERT-base, achieving an F1 score of 0.3833 on the evaluation set
Downloads 35
Release Time : 5/13/2025
Model Overview
This model is a text processing model fine-tuned on the ModernBERT-base architecture, suitable for natural language processing tasks
Model Features
ModernBERT-base fine-tuning
Fine-tuned based on the modern optimized BERT architecture
Lightweight training
Trained for only 2 epochs with a batch size of 16
Linear learning rate scheduling
Uses a linear learning rate scheduling strategy to optimize the training process
Model Capabilities
Text classification
Natural language understanding
Use Cases
Text analysis
Sentiment analysis
Can be used to analyze text sentiment tendencies
F1 score 0.3833 (on a specific dataset)
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