mrp_0.5_seed42_ep1
xlm-roberta-base Finetuning
Model Description
Base Model: xlm-roberta-base
Intermediate Task: mrp-
Pre-Finetuned Model: None
Training Information
Epochs: 1
Steps: 0
Validation Time: 0.01s
Performance Metrics
Main Metrics
Validation Loss: 0.185370
Validation Accuracy: 0.939289
Validation F1: 0.488045
Classification Report
{'0': {'precision': 0.9393664865564435, 'recall': 0.9998966799834688, 'f1-score': 0.9686869192399447, 'support': 29036.0}, '1': {'precision': 0.7, 'recall': 0.003721424774056353, 'f1-score': 0.007403490216816499, 'support': 1881.0}, 'accuracy': 0.9392890642688488, 'macro avg': {'precision': 0.8196832432782217, 'recall': 0.5018090523787626, 'f1-score': 0.4880452047283806, 'support': 30917.0}, 'weighted avg': {'precision': 0.924803354259886, 'recall': 0.9392890642688488, 'f1-score': 0.9102021332001443, 'support': 30917.0}}
Masked Metrics
Masked Accuracy: 0.934391
Masked F1: 0.495284
Masked Classification Report
{'0': {'precision': 0.9349157206742346, 'recall': 0.9993381379614649, 'f1-score': 0.9660541001670636, 'support': 13598.0}, '1': {'precision': 0.5714285714285714, 'recall': 0.012526096033402923, 'f1-score': 0.024514811031664963, 'support': 958.0}, 'accuracy': 0.9343913162956856, 'macro avg': {'precision': 0.7531721460514029, 'recall': 0.5059321169974339, 'f1-score': 0.4952844555993643, 'support': 14556.0}, 'weighted avg': {'precision': 0.9109928923575716, 'recall': 0.9343913162956856, 'f1-score': 0.9040868949601585, '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