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training/configs/eval_spell_backward_no_curr.yaml
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training/configs/eval_spell_backward_no_curr.yaml
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# Model configuration
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model_path: utils/qwen2.5b_1.5_step312 # Change to the smaller model
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max_tokens: 1024 # From max_response_length in training config
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temperature: 0.7 # Lower temperature for more focused responses
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top_p: 0.9 # From rollout top_p
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developer_prompt: DeepSeekZero
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developer_role: system # Standard role for system prompts
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# Output configuration
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output_dir: eval_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 and datasets to evaluate
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categories:
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- category: reasoning
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datasets:
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- dataset: spell_backward
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size: 100
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seed: 42
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params:
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min_word_len: 3 # From training config
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max_word_len: 10
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data_file: holdout_words.txt
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