data/papers/medium/bert_finetuning.json

{
  "title": "Fine-tuning BERT for Text Classification",
  "dataset": "GLUE-SST2",
  "model": "BERT-base",
  "target_metric": 0.92,
  "metric_name": "accuracy",
  "github_url": "https://github.com/huggingface/transformers",
  "key_claims": [
    "Achieves 92% accuracy on SST-2",
    "Fine-tunes pre-trained BERT-base",
    "Requires careful learning rate tuning"
  ],
  "ground_truth_config": {
    "learning_rate": 2e-05,
    "batch_size": 32,
    "optimizer": "adamw",
    "epochs": 3,
    "warmup_steps": 500,
    "weight_decay": 0.01
  },
  "difficulty": "medium"
}