reasoning-gym/training/evaluations/inter_generalisation/arc.yaml
Oliver Stanley 10863ea12b
inter-domain generalisation evaluation configs (#424)
* add inter-domain generalisation eval config for algebra

* add algorithmic eval cfg

* vllm infer

* add arithmetic eval cfg

* add geometry eval cfg

* add arc cfg

* add games eval cfg

* add cognition eval cfg

* add graphs eval cfg
2025-04-22 17:32:35 +01:00

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YAML

# Config used for evaluating inter-domain generalisation experiment models on ARC test data
# Models evaluated on this config:
# Qwen/Qwen2.5-3B-Instruct (original model)
# inter_algebra_qwen_3b_500 (original + 500 GRPO steps on algebra RG data)
model_path: ../models/inter_algebra_qwen_3b_500 # Change to the model to be evaluated
max_tokens: 2048 # From max_response_length in training config
top_p: 0.9 # From rollout top_p
temperature: 0.6 # Lower temperature for more focused responses
developer_prompt: DeepSeekZero
developer_role: system
output_dir: results
save_metadata: true
save_full_results: true
eval_repeats: 3
categories:
- category: arc
datasets:
- dataset: arc_1d
size: 100
seed: 42
- dataset: arc_agi
size: 100
seed: 42
- dataset: rearc
size: 100
seed: 42