xlm-roberta-base-pre-mrp-14012025-1359-44
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: 0.793698
Validation Accuracy: 0.066001
Validation F1: 0.063618
Classification Report
{'0': {'precision': 0.9302325581395349, 'recall': 0.008262186725419994, 'f1-score': 0.01637889851907459, 'support': 29048.0}, '1': {'precision': 0.05871589609540925, 'recall': 0.9900826446280991, 'f1-score': 0.11085749537322641, 'support': 1815.0}, 'accuracy': 0.06600136085280109, 'macro avg': {'precision': 0.4944742271174721, 'recall': 0.4991724156767596, 'f1-score': 0.06361819694615051, 'support': 30863.0}, 'weighted avg': {'precision': 0.8789801607183481, 'recall': 0.06600136085280109, 'f1-score': 0.02193502246328888, 'support': 30863.0}}
Masked Metrics
Masked Accuracy: 0.062001
Masked F1: 0.058968
Masked Classification Report
{'0': {'precision': 0.8444444444444444, 'recall': 0.0027814375640462597, 'f1-score': 0.005544612241920187, 'support': 13662.0}, '1': {'precision': 0.0595706495478705, 'recall': 0.9919540229885058, 'f1-score': 0.11239174317900631, 'support': 870.0}, 'accuracy': 0.062001101018442056, 'macro avg': {'precision': 0.45200754699615747, 'recall': 0.497367730276276, 'f1-score': 0.05896817771046325, 'support': 14532.0}, 'weighted avg': {'precision': 0.7974557160133944, 'recall': 0.062001101018442056, 'f1-score': 0.011941323218748216, 'support': 14532.0}}
