final_w_mrp_0.5_seed42_aug_ep4_ckpt_ep2
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: 2
Steps: 0
Validation Time: 0.01s
Performance Metrics
Main Metrics
Validation Loss: 0.627066
Validation Accuracy: 0.745333
Validation F1: 0.730670
Classification Report
{'0': {'precision': 0.7153996101364523, 'recall': 0.8907766990291263, 'f1-score': 0.7935135135135135, 'support': 412.0}, '1': {'precision': 0.810126582278481, 'recall': 0.5680473372781065, 'f1-score': 0.6678260869565218, 'support': 338.0}, 'accuracy': 0.7453333333333333, 'macro avg': {'precision': 0.7627630962074666, 'recall': 0.7294120181536163, 'f1-score': 0.7306698002350176, 'support': 750.0}, 'weighted avg': {'precision': 0.7580898989151265, 'recall': 0.7453333333333333, 'f1-score': 0.7368703799451626, '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