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