| # Copie para .env e preencha (nao commite .env) | |
| # HF_TOKEN=obtenha em https://huggingface.co/settings/tokens | |
| HF_USER=beAnalytic | |
| DATASET_REPO=beAnalytic/eda-training-dataset | |
| OUTPUT_REPO=beAnalytic/eda-llm-qwen2.5-lora | |
| MODEL_NAME=Qwen/Qwen2.5-1.5B-Instruct | |
| NUM_EPOCHS=3 | |
| BATCH_SIZE=4 | |
| LEARNING_RATE=3e-05 | |
| # Weights & Biases (opcional; train.py usa report_to wandb se WANDB_API_KEY ou WANDB_MODE=offline) | |
| # WANDB_API_KEY= | |
| # WANDB_PROJECT=bequick | |
| # WANDB_ENTITY=amaro-neto-amaro | |
| # WANDB_DISABLED=1 | |