# AGORA Debug Config — Quick smoke test (2 epochs, tiny batch)

[training]
batch_size = 2
learning_rate = 0.0001
epochs = 2
optimizer = "adamw"
weight_decay = 0.01
scheduler = "cosine"
warmup_steps = 5
precision = "bf16"
gradient_accumulation = 1
max_grad_norm = 1.0
seed = 42

[model]
base_model = "Qwen/Qwen2.5-1.5B-Instruct"
lora_r = 16
lora_alpha = 32
lora_dropout = 0.05
target_modules = ["q_proj", "v_proj", "k_proj", "o_proj"]

[data]
train_samples = 20
eval_samples = 5
train_path = "/mnt/artifacts-datai/logs/project_agora/planning_train.jsonl"
eval_path = "/mnt/artifacts-datai/logs/project_agora/planning_eval.jsonl"
num_workers = 0
pin_memory = false

[checkpoint]
output_dir = "/mnt/artifacts-datai/checkpoints/project_agora/debug"
save_every_n_steps = 5
keep_top_k = 1
metric = "eval_loss"
mode = "min"

[early_stopping]
enabled = false
patience = 5
min_delta = 0.001

[logging]
log_dir = "/mnt/artifacts-datai/logs/project_agora"
tensorboard_dir = "/mnt/artifacts-datai/tensorboard/project_agora"