# 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