xlm-roberta-base-pre-mrp-14012025-1342-42
xlm-roberta-base Finetuning
Model Description
Base Model: xlm-roberta-base
Intermediate Task: mrp
Pre-Finetuned Model: None
Training Information
Epochs: 1
Steps: 0
Validation Time: 0.01s
Performance Metrics
Main Metrics
Validation Loss: 0.209675
Validation Accuracy: 0.939160
Validation F1: 0.484313
Classification Report
{'0': {'precision': 0.9391596856098586, 'recall': 1.0, 'f1-score': 0.9686254232482111, 'support': 29036.0}, '1': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 1881.0}, 'accuracy': 0.9391596856098586, 'macro avg': {'precision': 0.4695798428049293, 'recall': 0.5, 'f1-score': 0.48431271162410555, 'support': 30917.0}, 'weighted avg': {'precision': 0.8820209150748085, 'recall': 0.9391596856098586, 'f1-score': 0.9096939479715063, 'support': 30917.0}}
Masked Metrics
Masked Accuracy: 0.934185
Masked F1: 0.482986
Masked Classification Report
{'0': {'precision': 0.934185215718604, 'recall': 1.0, 'f1-score': 0.9659728635362649, 'support': 13598.0}, '1': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 958.0}, 'accuracy': 0.934185215718604, 'macro avg': {'precision': 0.467092607859302, 'recall': 0.5, 'f1-score': 0.48298643176813244, 'support': 14556.0}, 'weighted avg': {'precision': 0.8727020172672147, 'recall': 0.934185215718604, 'f1-score': 0.9023975679009433, 'support': 14556.0}}
