mrp_0.5_seed66_ep0
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: 0.755222
Validation Accuracy: 0.059167
Validation F1: 0.056011
Classification Report
{'0': {'precision': 0.7777777777777778, 'recall': 0.0007162102247535895, 'f1-score': 0.0014311026305029303, 'support': 29321.0}, '1': {'precision': 0.05854379538590065, 'recall': 0.9967177242888403, 'f1-score': 0.1105918057663126, 'support': 1828.0}, 'accuracy': 0.05916722848245529, 'macro avg': {'precision': 0.4181607865818392, 'recall': 0.49871696725679693, 'f1-score': 0.056011454198407765, 'support': 31149.0}, 'weighted avg': {'precision': 0.7355690481295595, 'recall': 0.05916722848245529, 'f1-score': 0.007837271860085263, 'support': 31149.0}}
Masked Metrics
Masked Accuracy: 0.063595
Masked F1: 0.060566
Masked Classification Report
{'0': {'precision': 0.7575757575757576, 'recall': 0.0036305547487656114, 'f1-score': 0.007226477814713109, 'support': 13772.0}, '1': {'precision': 0.06045874700445053, 'recall': 0.982202447163515, 'f1-score': 0.11390608875128999, 'support': 899.0}, 'accuracy': 0.06359484697702951, 'macro avg': {'precision': 0.40901725229010405, 'recall': 0.4929165009561403, 'f1-score': 0.06056628328300155, 'support': 14671.0}, 'weighted avg': {'precision': 0.7148582746159318, 'recall': 0.06359484697702951, 'f1-score': 0.013763521658485356, 'support': 14671.0}}
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": 66
"dataset": sold
"finetuning_stage": pre
"val_int": 1000
"patience": 3
"skip_empty_rat": True