| model_name: answerdotai/ModernBERT-base | |
| max_length: 512 | |
| num_labels: 7 | |
| label_names: | |
| - clarity | |
| - specificity | |
| - context | |
| - goal_definition | |
| - constraints | |
| - completeness | |
| - actionability | |
| num_examples: 25000 | |
| seed: 42 | |
| train_ratio: 0.8 | |
| val_ratio: 0.1 | |
| test_ratio: 0.1 | |
| num_train_epochs: 3 | |
| per_device_train_batch_size: 8 | |
| per_device_eval_batch_size: 16 | |
| gradient_accumulation_steps: 2 | |
| learning_rate: 2.0e-05 | |
| weight_decay: 0.01 | |
| warmup_steps: 500 | |
| logging_steps: 100 | |
| eval_steps: 500 | |
| save_steps: 500 | |
| save_total_limit: 2 | |
| early_stopping_patience: 2 | |
| dropout: 0.1 | |
| dimension_loss_weight: 0.8 | |
| quality_loss_weight: 0.2 | |
| prefer_gpu: true | |
| use_fp16: true | |
| use_bf16: false | |
| output_dir: outputs/promptforge-quality | |
| dataset_path: data/promptforge_dataset.csv | |
| final_model_dir: outputs/promptforge-quality-model | |