mrp_0.9_seed66_ep2
xlm-roberta-base Finetuning
Model Description
Base Model: xlm-roberta-base
Intermediate Task: mrp-
Pre-Finetuned Model: None
Training Information
Epochs: 2
Steps: 0
Validation Time: 0.01s
Performance Metrics
Main Metrics
Validation Loss: 0.160233
Validation Accuracy: 0.931137
Validation F1: 0.562283
Classification Report
{'0': {'precision': 0.9466504503319966, 'recall': 0.9821970601275536, 'f1-score': 0.9640962121085316, 'support': 29321.0}, '1': {'precision': 0.28198074277854196, 'recall': 0.11214442013129103, 'f1-score': 0.16046966731898238, 'support': 1828.0}, 'accuracy': 0.9311374361937783, 'macro avg': {'precision': 0.6143155965552692, 'recall': 0.5471707401294224, 'f1-score': 0.562282939713757, 'support': 31149.0}, 'weighted avg': {'precision': 0.9076438618248948, 'recall': 0.9311374361937783, 'f1-score': 0.9169348482164228, 'support': 31149.0}}
Masked Metrics
Masked Accuracy: 0.939525
Masked F1: 0.747597
Masked Classification Report
{'0': {'precision': 0.9698516897641624, 'recall': 0.9655478457318057, 'f1-score': 0.9676949824121619, 'support': 24788.0}, '1': {'precision': 0.5108820160366552, 'recall': 0.5452322738386308, 'f1-score': 0.527498521584861, 'support': 1636.0}, 'accuracy': 0.9395246745382985, 'macro avg': {'precision': 0.7403668529004088, 'recall': 0.7553900597852183, 'f1-score': 0.7475967519985114, 'support': 26424.0}, 'weighted avg': {'precision': 0.9414353112363769, 'recall': 0.9395246745382985, 'f1-score': 0.9404409175501628, 'support': 26424.0}}
Trainer Arguments:
"learning_rate": 2e-05
"epochs": 5
"batch_size": 16
"model": xlm-roberta-base
"intermediate_task": mrp
"n_tk_label": 2
"mask_ratio": 0.9
"seed": 66
"dataset": sold
"finetuning_stage": pre
"val_int": 1000
"patience": 3
"skip_empty_rat": True