mrp_0.5_seed42_ep3
xlm-roberta-base Finetuning
Model Description
Base Model: xlm-roberta-base
Intermediate Task: mrp-
Pre-Finetuned Model: None
Training Information
Epochs: 3
Steps: 0
Validation Time: 0.01s
Performance Metrics
Main Metrics
Validation Loss: 0.119451
Validation Accuracy: 0.938933
Validation F1: 0.592413
Classification Report
{'0': {'precision': 0.9466894826905358, 'recall': 0.9907700785232125, 'f1-score': 0.968228325255789, 'support': 29036.0}, '1': {'precision': 0.4933837429111531, 'recall': 0.13875598086124402, 'f1-score': 0.216597510373444, 'support': 1881.0}, 'accuracy': 0.9389332729566258, 'macro avg': {'precision': 0.7200366128008444, 'recall': 0.5647630296922282, 'f1-score': 0.5924129178146165, 'support': 30917.0}, 'weighted avg': {'precision': 0.9191102189675026, 'recall': 0.9389332729566258, 'f1-score': 0.9224988701730289, 'support': 30917.0}}
Masked Metrics
Masked Accuracy: 0.955001
Masked F1: 0.774492
Masked Classification Report
{'0': {'precision': 0.9673756826674331, 'recall': 0.9852887360023421, 'f1-score': 0.976250045324341, 'support': 13663.0}, '1': {'precision': 0.6859375, 'recall': 0.4916013437849944, 'f1-score': 0.5727332028701891, 'support': 893.0}, 'accuracy': 0.9550013740038472, 'macro avg': {'precision': 0.8266565913337165, 'recall': 0.7384450398936683, 'f1-score': 0.774491624097265, 'support': 14556.0}, 'weighted avg': {'precision': 0.9501096551102732, 'recall': 0.9550013740038472, 'f1-score': 0.9514945808896367, 'support': 14556.0}}
Trainer Arguments:
"learning_rate": 2e-05
"epochs": 5
"batch_size": 16
"model": xlm-roberta-base
"intermediate_task": mrp
"n_tk_label": 2
"mask_ratio": 0.5
"seed": 42
"dataset": sold
"finetuning_stage": pre
"val_int": 10000
"patience": 3
"skip_empty_rat": True