# Stage A, second pass: the six candidates that missed the C1 band at 300 founder examples, retrained
# at the budget every working specialist in this project has used (v2, v3: 1200 x 3 epochs).
# Decides whether the curriculum has six families or nine.
experiment: llm_curriculum_v5_calib_b
kind: llm_curriculum
base_model: Qwen/Qwen2.5-1.5B
seed: 1
families: [gsm8k, mbpp, sst2, csqa, winogrande, nq_open]
lineages: 6
generations: 1
arms: [isolated]
baselines: []
n_new: 1200
n_replay: 0
n_test: 60
n_val: 20
epochs: 3
lr: 1.0e-4
max_new_tokens: 48
batch_size: 24
train_batch_size: 2
train_max_len: 512
lora: {r: 16, alpha: 32}
output: {dir: results/llm_curriculum_v5_calib_b}