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10863ea12b
* 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
48 lines
1.2 KiB
YAML
48 lines
1.2 KiB
YAML
# Config used for evaluating inter-domain generalisation experiment models on games test data
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# Models evaluated on this config:
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# Qwen/Qwen2.5-3B-Instruct (original model)
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# inter_algebra_qwen_3b_500 (original + 500 GRPO steps on algebra RG data)
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# inter_logic_qwen_3b_400 (original + 400 GRPO steps on logic RG data)
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model_path: ../models/inter_logic_qwen_3b_400 # Change to the model to be evaluated
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max_tokens: 2048 # From max_response_length in training config
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top_p: 0.9 # From rollout top_p
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temperature: 0.6 # Lower temperature for more focused responses
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developer_prompt: DeepSeekZero
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developer_role: system
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output_dir: results
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save_metadata: true
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save_full_results: true
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eval_repeats: 3
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categories:
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- category: games
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datasets:
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- dataset: knight_swap
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size: 100
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seed: 42
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- dataset: mahjong_puzzle
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size: 100
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seed: 42
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- dataset: maze
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size: 100
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seed: 42
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- dataset: mini_sudoku
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size: 100
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seed: 42
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- dataset: n_queens
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size: 100
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seed: 42
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- dataset: rush_hour
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size: 100
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seed: 42
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- dataset: sokoban
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size: 100
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seed: 42
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- dataset: tsumego
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size: 100
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seed: 42
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