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71 lines
1.7 KiB
YAML
71 lines
1.7 KiB
YAML
# Config used for evaluating inter-domain generalisation experiment models on algorithmic 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: algorithmic
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datasets:
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- dataset: ab
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size: 100
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seed: 42
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- dataset: base_conversion
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size: 100
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seed: 42
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- dataset: binary_alternation
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size: 100
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seed: 42
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params:
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p_solvable: 0.9
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- dataset: binary_matrix
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size: 100
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seed: 42
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params:
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min_n: 2
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max_n: 6
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- dataset: caesar_cipher
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size: 100
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seed: 42
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params:
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max_words: 10
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- dataset: cryptarithm
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size: 100
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seed: 42
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- dataset: isomorphic_strings
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size: 100
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seed: 42
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params:
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max_string_length: 8
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- dataset: jugs
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size: 100
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seed: 42
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params:
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difficulty: 6
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- dataset: rotate_matrix
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size: 100
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seed: 42
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params:
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min_n: 2
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max_n: 6
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- dataset: string_manipulation
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size: 100
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seed: 42
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params:
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max_string_length: 15
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max_num_rules: 6
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