xlm-roberta-base-pre-mrp-14012025-1416-46
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: 0.837115
Validation Accuracy: 0.049675
Validation F1: 0.047557
Classification Report
{'0': {'precision': 1.0, 'recall': 0.0013251037416745126, 'f1-score': 0.0026467003308375415, 'support': 28677.0}, '1': {'precision': 0.048474981726360555, 'recall': 1.0, 'f1-score': 0.09246759831416168, 'support': 1459.0}, 'accuracy': 0.049674807539155826, 'macro avg': {'precision': 0.5242374908631803, 'recall': 0.5006625518708373, 'f1-score': 0.04755714932249961, 'support': 30136.0}, 'weighted avg': {'precision': 0.9539330036613605, 'recall': 0.049674807539155826, 'f1-score': 0.006995276457651648, 'support': 30136.0}}
Masked Metrics
Masked Accuracy: 0.052550
Masked F1: 0.050241
Masked Classification Report
{'0': {'precision': 0.9583333333333334, 'recall': 0.0017118189937481393, 'f1-score': 0.0034175334323922734, 'support': 13436.0}, '1': {'precision': 0.051011744729022215, 'recall': 0.9986149584487535, 'f1-score': 0.09706515885837372, 'support': 722.0}, 'accuracy': 0.05254979516880915, 'macro avg': {'precision': 0.5046725390311778, 'recall': 0.5001633887212508, 'f1-score': 0.050241346145383, 'support': 14158.0}, 'weighted avg': {'precision': 0.912063649269743, 'recall': 0.05254979516880915, 'f1-score': 0.00819317869002461, 'support': 14158.0}}
