xlm-roberta-base-pre-mrp-14012025-1348-42
xlm-roberta-base Finetuning
Model Description
Base Model: xlm-roberta-base
Intermediate Task: mrp
Pre-Finetuned Model: None
Training Information
Epochs: 4
Steps: 410
Validation Time: 0.01s
Performance Metrics
Main Metrics
Validation Loss: 0.152294
Validation Accuracy: 0.939483
Validation F1: 0.530883
Classification Report
{'0': {'precision': 0.9419228892142508, 'recall': 0.9970381595261055, 'f1-score': 0.9686971942915461, 'support': 29036.0}, '1': {'precision': 0.5274725274725275, 'recall': 0.051036682615629984, 'f1-score': 0.0930683470673776, 'support': 1881.0}, 'accuracy': 0.9394831322573342, 'macro avg': {'precision': 0.7346977083433892, 'recall': 0.5240374210708677, 'f1-score': 0.5308827706794619, 'support': 30917.0}, 'weighted avg': {'precision': 0.9167075989067766, 'recall': 0.9394831322573342, 'f1-score': 0.9154236599373505, 'support': 30917.0}}
Masked Metrics
Masked Accuracy: 0.942979
Masked F1: 0.612646
Masked Classification Report
{'0': {'precision': 0.947016174010039, 'recall': 0.994873297202285, 'f1-score': 0.9703550253589542, 'support': 13654.0}, '1': {'precision': 0.6698113207547169, 'recall': 0.1574279379157428, 'f1-score': 0.25493716337522443, 'support': 902.0}, 'accuracy': 0.942978840340753, 'macro avg': {'precision': 0.808413747382378, 'recall': 0.5761506175590139, 'f1-score': 0.6126460943670893, 'support': 14556.0}, 'weighted avg': {'precision': 0.9298384618888312, 'recall': 0.942978840340753, 'f1-score': 0.9260223164066785, 'support': 14556.0}}
