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* added curriculum * readapted readme * corrected small errors * Delete eval/eval/r1/algorithmic/word_sorting.json * removed redundant argument * added spell * removed duplicated fit * changed config * added composite changes * added composite changes * updated yaml * added spell backward * updated read me * added qwen2.5 * added * Add files via upload * updated missing trainer func * updated curr * updated spell back * updated correctness score func * updated configs * added local evals * added updates * updated datasets * added fsdp to hf utility * added algorithmic qwen 3b yaml * updated read me * updated configs * added preappend token * updated with thinking token * updated test score board * resolved comments * added evaluation scripts * removed results from pr * added config * added partial reward scoring * added evaluation composites * added training configs * added games eval * added rubriks cube * resolved merge cinflicts * added games config * added latest eval configs * updated strucutre * Delete training/evaluations/eval_graphs_composite.yaml --------- Co-authored-by: joesharratt1229 <joesharrat1229@gmail.com>
24 lines
596 B
YAML
24 lines
596 B
YAML
# Model configuration
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model_path: ../utils/qwen3b_games
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max_tokens: 1024
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temperature: 0.6 # 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: 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: mahjong_puzzle
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size: 100
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seed: 42
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params:
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min_num_rounds: 10
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max_num_rounds: 50
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