final_w_mrp_0.5_seed42_aug_ep4_ckpt_ep0
xlm-roberta-base Finetuning
Model Description
Base Model: xlm-roberta-base
Intermediate Task:
Pre-Finetuned Model: pre_finetune/mrp_0.5_seed42_aug/ep4.ckpt
Training Information
Epochs: 0
Steps: 0
Validation Time: 0.01s
Performance Metrics
Main Metrics
Validation Loss: 0.690698
Validation Accuracy: 0.549333
Validation F1: 0.354561
Classification Report
{'0': {'precision': 0.5493333333333333, 'recall': 1.0, 'f1-score': 0.7091222030981067, 'support': 412.0}, '1': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 338.0}, 'accuracy': 0.5493333333333333, 'macro avg': {'precision': 0.27466666666666667, 'recall': 0.5, 'f1-score': 0.35456110154905335, 'support': 750.0}, 'weighted avg': {'precision': 0.3017671111111111, 'recall': 0.5493333333333333, 'f1-score': 0.38954446356855993, 'support': 750.0}}
Trainer Arguments:
"learning_rate": 2e-05
"epochs": 5
"batch_size": 16
"model": xlm-roberta-base
"intermediate_task": False
"n_tk_label": 2
"mask_ratio": 0.5
"seed": 42
"dataset": sold
"finetuning_stage": final
"val_int": 10000
"patience": 3
"skip_empty_rat": False