xlmr-sold_NO_mrp_s39_final_ep4
xlm-roberta-base Finetuning
Model Description
Base Model: xlm-roberta-base
Intermediate Task:
Pre-Finetuned Model: xlm-roberta-base
Training Information
Epochs: 4
Steps: 0
Validation Time: 0.01s
Performance Metrics
Main Metrics
Validation Loss: 0.362164
Validation Accuracy: 0.849333
Validation F1: 0.846437
Classification Report
{'0': {'precision': 0.893719806763285, 'recall': 0.8428246013667426, 'f1-score': 0.8675263774912075, 'support': 439.0}, '1': {'precision': 0.7946428571428571, 'recall': 0.8585209003215434, 'f1-score': 0.8253477588871716, 'support': 311.0}, 'accuracy': 0.8493333333333334, 'macro avg': {'precision': 0.8441813319530711, 'recall': 0.850672750844143, 'f1-score': 0.8464370681891895, 'support': 750.0}, 'weighted avg': {'precision': 0.8526358983206809, 'recall': 0.8493333333333334, 'f1-score': 0.8500363103100673, '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": -1.0
"seed": 39
"dataset": sold
"finetuning_stage": final
"val_int": 10000
"patience": 3
"skip_empty_rat": False