xlm-roberta-base-pre-mrp-14012025-1350-43
xlm-roberta-base Finetuning
Model Description
Base Model: xlm-roberta-base
Intermediate Task: mrp
Pre-Finetuned Model: None
Training Information
Epochs: 0
Steps: 0
Validation Time: 0.01s
Performance Metrics
Main Metrics
Validation Loss: 0.533825
Validation Accuracy: 0.945969
Validation F1: 0.486117
Classification Report
{'0': {'precision': 0.9459694567948965, 'recall': 1.0, 'f1-score': 0.9722346396463517, 'support': 29361.0}, '1': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 1677.0}, 'accuracy': 0.9459694567948965, 'macro avg': {'precision': 0.47298472839744826, 'recall': 0.5, 'f1-score': 0.48611731982317585, 'support': 31038.0}, 'weighted avg': {'precision': 0.8948582131888316, 'recall': 0.9459694567948965, 'f1-score': 0.9197042739434413, 'support': 31038.0}}
Masked Metrics
Masked Accuracy: 0.944064
Masked F1: 0.485614
Masked Classification Report
{'0': {'precision': 0.9440640832534575, 'recall': 1.0, 'f1-score': 0.9712273287550625, 'support': 13789.0}, '1': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 817.0}, 'accuracy': 0.9440640832534575, 'macro avg': {'precision': 0.47203204162672874, 'recall': 0.5, 'f1-score': 0.48561366437753123, 'support': 14606.0}, 'weighted avg': {'precision': 0.8912569932891911, 'recall': 0.9440640832534575, 'f1-score': 0.9169008377518525, 'support': 14606.0}}
