dzungpham/graphcodebert-code-classification
0
1{2 "train_config": {3 "model_name": "microsoft/graphcodebert-base",4 "num_epochs": 3,5 "batch_size": 256,6 "learning_rate": 2e-05,7 "max_length": 512,8 "num_labels": 2,9 "loss_type": "ce",10 "focal_alpha": 1.0,11 "focal_gamma": 2.0,12 "r_drop_alpha": 6.0,13 "infonce_temperature": 0.07,14 "infonce_weight": 0.5,15 "label_smoothing": 0,16 "adversarial_epsilon": 0,17 "use_swa": false,18 "swa_start_epoch": 0,19 "swa_lr": 1e-05,20 "data_augmentation": false,21 "aug_rename_prob": 0.0,22 "aug_format_prob": 0.0,23 "freeze_base": true,24 "seed": 42,25 "use_wandb": true,26 "mixup_alpha": 0.0,27 "low_pass_keep_ratio": 0.5,28 "freq_consistency_weight": 0.029 },30 "training_arguments": {31 "output_dir": "output_checkpoints/graphcodebert-vanilla/",32 "num_train_epochs": 3,33 "per_device_train_batch_size": 256,34 "per_device_eval_batch_size": 512,35 "learning_rate": 2e-05,36 "warmup_steps": 612,37 "weight_decay": 0.1,38 "logging_steps": 5,39 "eval_steps": 50,40 "save_steps": 100,41 "metric_for_best_model": "macro_f1",42 "greater_is_better": true,43 "save_total_limit": 5,44 "fp16": true,45 "seed": 4246 },47 "training_state": {48 "global_step": 200,49 "epoch": 0.19569471624266144,50 "best_metric": 0.5962545254252696,51 "best_model_checkpoint": "output_checkpoints/graphcodebert-vanilla/checkpoint-200"52 }53}