final_w_mrp_0.75_seed66_ep4
xlm-roberta-base Finetuning
Model Description
Base Model: xlm-roberta-base
Intermediate Task:
Pre-Finetuned Model: pre_finetune/mrp_0.75_seed66/ep4.ckpt
Training Information
Epochs: 4
Steps: 421
Validation Time: 0.01s
Performance Metrics
Main Metrics
Validation Loss: 0.477067
Validation Accuracy: 0.814667
Validation F1: 0.811645
Classification Report
{'0': {'precision': 0.8694581280788177, 'recall': 0.8041002277904328, 'f1-score': 0.8355029585798817, 'support': 439.0}, '1': {'precision': 0.75, 'recall': 0.8295819935691319, 'f1-score': 0.7877862595419848, 'support': 311.0}, 'accuracy': 0.8146666666666667, 'macro avg': {'precision': 0.8097290640394088, 'recall': 0.8168411106797824, 'f1-score': 0.8116446090609333, 'support': 750.0}, 'weighted avg': {'precision': 0.8199228243021347, 'recall': 0.8146666666666667, 'f1-score': 0.8157164340455004, '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": 0.75
"seed": 66
"dataset": sold
"finetuning_stage": final
"val_int": 1000
"patience": 3
"skip_empty_rat": False