| { |
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| "batch_size": 512, |
| "learning_rate": 1e-06, |
| "max_length": 512, |
| "num_labels": 2, |
| "loss_type": "r-drop", |
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| "focal_gamma": 2.0, |
| "r_drop_alpha": 6.0, |
| "infonce_temperature": 0.07, |
| "infonce_weight": 0.5, |
| "label_smoothing": 0.5, |
| "adversarial_epsilon": 0.5, |
| "use_swa": false, |
| "swa_start_epoch": 0, |
| "swa_lr": 1e-05, |
| "data_augmentation": true, |
| "aug_rename_prob": 0.8, |
| "aug_format_prob": 0.8, |
| "freeze_base": true, |
| "seed": 42, |
| "use_wandb": true, |
| "mixup_alpha": 1.0, |
| "low_pass_keep_ratio": 0.5, |
| "freq_consistency_weight": 0.5 |
| }, |
| "training_arguments": { |
| "output_dir": "output_checkpoints/graphcodebert-best/", |
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| "per_device_train_batch_size": 512, |
| "per_device_eval_batch_size": 1024, |
| "learning_rate": 1e-06, |
| "warmup_steps": 204, |
| "weight_decay": 0.1, |
| "logging_steps": 2, |
| "eval_steps": 20, |
| "save_steps": 100, |
| "metric_for_best_model": "macro_f1", |
| "greater_is_better": true, |
| "save_total_limit": 5, |
| "fp16": true, |
| "seed": 42 |
| }, |
| "training_state": { |
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| "best_metric": 0.5884212859150606, |
| "best_model_checkpoint": "output_checkpoints/graphcodebert-best/checkpoint-1250" |
| } |
| } |
