xlm-roberta-base-pre-mrp-14012025-1424-46
xlm-roberta-base Finetuning
Model Description
Base Model: xlm-roberta-base
Intermediate Task: mrp
Pre-Finetuned Model: None
Training Information
Epochs: 4
Steps: 410
Validation Time: 0.01s
Performance Metrics
Main Metrics
Validation Loss: 0.113903
Validation Accuracy: 0.950159
Validation F1: 0.513087
Classification Report
{'0': {'precision': 0.952750658092033, 'recall': 0.9970708233078774, 'f1-score': 0.9744070338058888, 'support': 28677.0}, '1': {'precision': 0.328, 'recall': 0.02810143934201508, 'f1-score': 0.05176767676767677, 'support': 1459.0}, 'accuracy': 0.9501592779400053, 'macro avg': {'precision': 0.6403753290460165, 'recall': 0.5125861313249462, 'f1-score': 0.5130873552867827, 'support': 30136.0}, 'weighted avg': {'precision': 0.9225040689575668, 'recall': 0.9501592779400053, 'f1-score': 0.9297385037448737, 'support': 30136.0}}
Masked Metrics
Masked Accuracy: 0.955714
Masked F1: 0.716559
Masked Classification Report
{'0': {'precision': 0.9650156375009091, 'recall': 0.9891158491128672, 'f1-score': 0.9769171299193756, 'support': 13414.0}, '1': {'precision': 0.6430317848410758, 'recall': 0.353494623655914, 'f1-score': 0.4562012142237641, 'support': 744.0}, 'accuracy': 0.9557140839101568, 'macro avg': {'precision': 0.8040237111709925, 'recall': 0.6713052363843905, 'f1-score': 0.7165591720715698, 'support': 14158.0}, 'weighted avg': {'precision': 0.9480954519959708, 'recall': 0.9557140839101568, 'f1-score': 0.9495536152084324, 'support': 14158.0}}
