xlm-roberta-base-pre-mrp-14012025-1402-44
xlm-roberta-base Finetuning
Model Description
Base Model: xlm-roberta-base
Intermediate Task: mrp
Pre-Finetuned Model: None
Training Information
Epochs: 2
Steps: 0
Validation Time: 0.01s
Performance Metrics
Main Metrics
Validation Loss: 0.191600
Validation Accuracy: 0.941192
Validation F1: 0.484853
Classification Report
{'0': {'precision': 0.9411917182386677, 'recall': 1.0, 'f1-score': 0.9697050625093889, 'support': 29048.0}, '1': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 1815.0}, 'accuracy': 0.9411917182386677, 'macro avg': {'precision': 0.4705958591193338, 'recall': 0.5, 'f1-score': 0.48485253125469446, 'support': 30863.0}, 'weighted avg': {'precision': 0.8858418504810556, 'recall': 0.9411917182386677, 'f1-score': 0.9126783739679464, 'support': 30863.0}}
Masked Metrics
Masked Accuracy: 0.936967
Masked F1: 0.483729
Masked Classification Report
{'0': {'precision': 0.9369666941921277, 'recall': 1.0, 'f1-score': 0.9674577234617024, 'support': 13616.0}, '1': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 916.0}, 'accuracy': 0.9369666941921277, 'macro avg': {'precision': 0.4684833470960639, 'recall': 0.5, 'f1-score': 0.4837288617308512, 'support': 14532.0}, 'weighted avg': {'precision': 0.8779065860253242, 'recall': 0.9369666941921277, 'f1-score': 0.906475664922553, 'support': 14532.0}}
