| { | |
| "results": { | |
| "ifeval": { | |
| "alias": "ifeval", | |
| "prompt_level_strict_acc,none": 0.8125, | |
| "prompt_level_strict_acc_stderr,none": 0.10077822185373188, | |
| "inst_level_strict_acc,none": 0.8333333333333334, | |
| "inst_level_strict_acc_stderr,none": "N/A", | |
| "prompt_level_loose_acc,none": 0.8125, | |
| "prompt_level_loose_acc_stderr,none": 0.10077822185373188, | |
| "inst_level_loose_acc,none": 0.875, | |
| "inst_level_loose_acc_stderr,none": "N/A" | |
| }, | |
| "mmlu": { | |
| "acc,none": 0.7088815789473685, | |
| "acc_stderr,none": 0.012041450801133636, | |
| "alias": "mmlu" | |
| }, | |
| "mmlu_humanities": { | |
| "acc,none": 0.8028846153846154, | |
| "acc_stderr,none": 0.02739400408056615, | |
| "alias": " - humanities" | |
| }, | |
| "mmlu_formal_logic": { | |
| "alias": " - formal_logic", | |
| "acc,none": 0.6875, | |
| "acc_stderr,none": 0.11967838846954226 | |
| }, | |
| "mmlu_high_school_european_history": { | |
| "alias": " - high_school_european_history", | |
| "acc,none": 0.9375, | |
| "acc_stderr,none": 0.0625 | |
| }, | |
| "mmlu_high_school_us_history": { | |
| "alias": " - high_school_us_history", | |
| "acc,none": 0.875, | |
| "acc_stderr,none": 0.08539125638299665 | |
| }, | |
| "mmlu_high_school_world_history": { | |
| "alias": " - high_school_world_history", | |
| "acc,none": 0.9375, | |
| "acc_stderr,none": 0.0625 | |
| }, | |
| "mmlu_international_law": { | |
| "alias": " - international_law", | |
| "acc,none": 0.9375, | |
| "acc_stderr,none": 0.0625 | |
| }, | |
| "mmlu_jurisprudence": { | |
| "alias": " - jurisprudence", | |
| "acc,none": 0.8125, | |
| "acc_stderr,none": 0.10077822185373188 | |
| }, | |
| "mmlu_logical_fallacies": { | |
| "alias": " - logical_fallacies", | |
| "acc,none": 0.8125, | |
| "acc_stderr,none": 0.10077822185373188 | |
| }, | |
| "mmlu_moral_disputes": { | |
| "alias": " - moral_disputes", | |
| "acc,none": 0.625, | |
| "acc_stderr,none": 0.125 | |
| }, | |
| "mmlu_moral_scenarios": { | |
| "alias": " - moral_scenarios", | |
| "acc,none": 0.625, | |
| "acc_stderr,none": 0.125 | |
| }, | |
| "mmlu_philosophy": { | |
| "alias": " - philosophy", | |
| "acc,none": 0.8125, | |
| "acc_stderr,none": 0.10077822185373188 | |
| }, | |
| "mmlu_prehistory": { | |
| "alias": " - prehistory", | |
| "acc,none": 0.6875, | |
| "acc_stderr,none": 0.11967838846954226 | |
| }, | |
| "mmlu_professional_law": { | |
| "alias": " - professional_law", | |
| "acc,none": 0.8125, | |
| "acc_stderr,none": 0.10077822185373188 | |
| }, | |
| "mmlu_world_religions": { | |
| "alias": " - world_religions", | |
| "acc,none": 0.875, | |
| "acc_stderr,none": 0.08539125638299665 | |
| }, | |
| "mmlu_other": { | |
| "acc,none": 0.75, | |
| "acc_stderr,none": 0.028846153846153848, | |
| "alias": " - other" | |
| }, | |
| "mmlu_business_ethics": { | |
| "alias": " - business_ethics", | |
| "acc,none": 0.9375, | |
| "acc_stderr,none": 0.0625 | |
| }, | |
| "mmlu_clinical_knowledge": { | |
| "alias": " - clinical_knowledge", | |
| "acc,none": 0.6875, | |
| "acc_stderr,none": 0.11967838846954226 | |
| }, | |
| "mmlu_college_medicine": { | |
| "alias": " - college_medicine", | |
| "acc,none": 0.8125, | |
| "acc_stderr,none": 0.10077822185373188 | |
| }, | |
| "mmlu_global_facts": { | |
| "alias": " - global_facts", | |
| "acc,none": 0.5625, | |
| "acc_stderr,none": 0.128086884574495 | |
| }, | |
| "mmlu_human_aging": { | |
| "alias": " - human_aging", | |
| "acc,none": 0.75, | |
| "acc_stderr,none": 0.11180339887498948 | |
| }, | |
| "mmlu_management": { | |
| "alias": " - management", | |
| "acc,none": 0.8125, | |
| "acc_stderr,none": 0.10077822185373188 | |
| }, | |
| "mmlu_marketing": { | |
| "alias": " - marketing", | |
| "acc,none": 0.875, | |
| "acc_stderr,none": 0.08539125638299665 | |
| }, | |
| "mmlu_medical_genetics": { | |
| "alias": " - medical_genetics", | |
| "acc,none": 0.875, | |
| "acc_stderr,none": 0.08539125638299665 | |
| }, | |
| "mmlu_miscellaneous": { | |
| "alias": " - miscellaneous", | |
| "acc,none": 0.875, | |
| "acc_stderr,none": 0.08539125638299665 | |
| }, | |
| "mmlu_nutrition": { | |
| "alias": " - nutrition", | |
| "acc,none": 0.6875, | |
| "acc_stderr,none": 0.11967838846954226 | |
| }, | |
| "mmlu_professional_accounting": { | |
| "alias": " - professional_accounting", | |
| "acc,none": 0.5, | |
| "acc_stderr,none": 0.12909944487358055 | |
| }, | |
| "mmlu_professional_medicine": { | |
| "alias": " - professional_medicine", | |
| "acc,none": 0.9375, | |
| "acc_stderr,none": 0.0625 | |
| }, | |
| "mmlu_virology": { | |
| "alias": " - virology", | |
| "acc,none": 0.4375, | |
| "acc_stderr,none": 0.128086884574495 | |
| }, | |
| "mmlu_social_sciences": { | |
| "acc,none": 0.8385416666666666, | |
| "acc_stderr,none": 0.025762391391041032, | |
| "alias": " - social sciences" | |
| }, | |
| "mmlu_econometrics": { | |
| "alias": " - econometrics", | |
| "acc,none": 0.625, | |
| "acc_stderr,none": 0.125 | |
| }, | |
| "mmlu_high_school_geography": { | |
| "alias": " - high_school_geography", | |
| "acc,none": 0.9375, | |
| "acc_stderr,none": 0.0625 | |
| }, | |
| "mmlu_high_school_government_and_politics": { | |
| "alias": " - high_school_government_and_politics", | |
| "acc,none": 1.0, | |
| "acc_stderr,none": 0.0 | |
| }, | |
| "mmlu_high_school_macroeconomics": { | |
| "alias": " - high_school_macroeconomics", | |
| "acc,none": 0.6875, | |
| "acc_stderr,none": 0.11967838846954226 | |
| }, | |
| "mmlu_high_school_microeconomics": { | |
| "alias": " - high_school_microeconomics", | |
| "acc,none": 0.8125, | |
| "acc_stderr,none": 0.10077822185373188 | |
| }, | |
| "mmlu_high_school_psychology": { | |
| "alias": " - high_school_psychology", | |
| "acc,none": 0.875, | |
| "acc_stderr,none": 0.08539125638299665 | |
| }, | |
| "mmlu_human_sexuality": { | |
| "alias": " - human_sexuality", | |
| "acc,none": 0.875, | |
| "acc_stderr,none": 0.08539125638299665 | |
| }, | |
| "mmlu_professional_psychology": { | |
| "alias": " - professional_psychology", | |
| "acc,none": 0.9375, | |
| "acc_stderr,none": 0.0625 | |
| }, | |
| "mmlu_public_relations": { | |
| "alias": " - public_relations", | |
| "acc,none": 0.625, | |
| "acc_stderr,none": 0.125 | |
| }, | |
| "mmlu_security_studies": { | |
| "alias": " - security_studies", | |
| "acc,none": 0.875, | |
| "acc_stderr,none": 0.08539125638299665 | |
| }, | |
| "mmlu_sociology": { | |
| "alias": " - sociology", | |
| "acc,none": 0.8125, | |
| "acc_stderr,none": 0.10077822185373188 | |
| }, | |
| "mmlu_us_foreign_policy": { | |
| "alias": " - us_foreign_policy", | |
| "acc,none": 1.0, | |
| "acc_stderr,none": 0.0 | |
| }, | |
| "mmlu_stem": { | |
| "acc,none": 0.6217105263157895, | |
| "acc_stderr,none": 0.018126960046215203, | |
| "alias": "stem" | |
| }, | |
| "mmlu_abstract_algebra": { | |
| "alias": " - abstract_algebra", | |
| "acc,none": 0.3125, | |
| "acc_stderr,none": 0.11967838846954226 | |
| }, | |
| "mmlu_anatomy": { | |
| "alias": " - anatomy", | |
| "acc,none": 0.75, | |
| "acc_stderr,none": 0.11180339887498948 | |
| }, | |
| "mmlu_astronomy": { | |
| "alias": " - astronomy", | |
| "acc,none": 0.9375, | |
| "acc_stderr,none": 0.0625 | |
| }, | |
| "mmlu_college_biology": { | |
| "alias": " - college_biology", | |
| "acc,none": 0.8125, | |
| "acc_stderr,none": 0.10077822185373188 | |
| }, | |
| "mmlu_college_chemistry": { | |
| "alias": " - college_chemistry", | |
| "acc,none": 0.3125, | |
| "acc_stderr,none": 0.11967838846954226 | |
| }, | |
| "mmlu_college_computer_science": { | |
| "alias": " - college_computer_science", | |
| "acc,none": 0.4375, | |
| "acc_stderr,none": 0.128086884574495 | |
| }, | |
| "mmlu_college_mathematics": { | |
| "alias": " - college_mathematics", | |
| "acc,none": 0.25, | |
| "acc_stderr,none": 0.11180339887498948 | |
| }, | |
| "mmlu_college_physics": { | |
| "alias": " - college_physics", | |
| "acc,none": 0.625, | |
| "acc_stderr,none": 0.125 | |
| }, | |
| "mmlu_computer_security": { | |
| "alias": " - computer_security", | |
| "acc,none": 0.625, | |
| "acc_stderr,none": 0.125 | |
| }, | |
| "mmlu_conceptual_physics": { | |
| "alias": " - conceptual_physics", | |
| "acc,none": 0.75, | |
| "acc_stderr,none": 0.11180339887498948 | |
| }, | |
| "mmlu_electrical_engineering": { | |
| "alias": " - electrical_engineering", | |
| "acc,none": 0.5625, | |
| "acc_stderr,none": 0.128086884574495 | |
| }, | |
| "mmlu_elementary_mathematics": { | |
| "alias": " - elementary_mathematics", | |
| "acc,none": 0.5, | |
| "acc_stderr,none": 0.12909944487358055 | |
| }, | |
| "mmlu_high_school_biology": { | |
| "alias": " - high_school_biology", | |
| "acc,none": 1.0, | |
| "acc_stderr,none": 0.0 | |
| }, | |
| "mmlu_high_school_chemistry": { | |
| "alias": " - high_school_chemistry", | |
| "acc,none": 0.75, | |
| "acc_stderr,none": 0.11180339887498948 | |
| }, | |
| "mmlu_high_school_computer_science": { | |
| "alias": " - high_school_computer_science", | |
| "acc,none": 0.875, | |
| "acc_stderr,none": 0.08539125638299665 | |
| }, | |
| "mmlu_high_school_mathematics": { | |
| "alias": " - high_school_mathematics", | |
| "acc,none": 0.3125, | |
| "acc_stderr,none": 0.11967838846954226 | |
| }, | |
| "mmlu_high_school_physics": { | |
| "alias": " - high_school_physics", | |
| "acc,none": 0.5625, | |
| "acc_stderr,none": 0.128086884574495 | |
| }, | |
| "mmlu_high_school_statistics": { | |
| "alias": " - high_school_statistics", | |
| "acc,none": 0.8125, | |
| "acc_stderr,none": 0.10077822185373188 | |
| }, | |
| "mmlu_machine_learning": { | |
| "alias": " - machine_learning", | |
| "acc,none": 0.625, | |
| "acc_stderr,none": 0.125 | |
| } | |
| }, | |
| "groups": { | |
| "mmlu": { | |
| "acc,none": 0.7088815789473685, | |
| "acc_stderr,none": 0.012041450801133636, | |
| "alias": "mmlu" | |
| }, | |
| "mmlu_humanities": { | |
| "acc,none": 0.8028846153846154, | |
| "acc_stderr,none": 0.02739400408056615, | |
| "alias": " - humanities" | |
| }, | |
| "mmlu_other": { | |
| "acc,none": 0.75, | |
| "acc_stderr,none": 0.028846153846153848, | |
| "alias": " - other" | |
| }, | |
| "mmlu_social_sciences": { | |
| "acc,none": 0.8385416666666666, | |
| "acc_stderr,none": 0.025762391391041032, | |
| "alias": " - social sciences" | |
| }, | |
| "mmlu_stem": { | |
| "acc,none": 0.6217105263157895, | |
| "acc_stderr,none": 0.018126960046215203, | |
| "alias": "stem" | |
| } | |
| }, | |
| "group_subtasks": { | |
| "ifeval": [], | |
| "mmlu_humanities": [ | |
| "mmlu_moral_disputes", | |
| "mmlu_high_school_european_history", | |
| "mmlu_moral_scenarios", | |
| "mmlu_formal_logic", | |
| "mmlu_prehistory", | |
| "mmlu_professional_law", | |
| "mmlu_world_religions", | |
| "mmlu_international_law", | |
| "mmlu_high_school_us_history", | |
| "mmlu_high_school_world_history", | |
| "mmlu_logical_fallacies", | |
| "mmlu_jurisprudence", | |
| "mmlu_philosophy" | |
| ], | |
| "mmlu_social_sciences": [ | |
| "mmlu_professional_psychology", | |
| "mmlu_high_school_psychology", | |
| "mmlu_econometrics", | |
| "mmlu_public_relations", | |
| "mmlu_us_foreign_policy", | |
| "mmlu_high_school_microeconomics", | |
| "mmlu_high_school_macroeconomics", | |
| "mmlu_sociology", | |
| "mmlu_high_school_geography", | |
| "mmlu_high_school_government_and_politics", | |
| "mmlu_security_studies", | |
| "mmlu_human_sexuality" | |
| ], | |
| "mmlu_other": [ | |
| "mmlu_professional_accounting", | |
| "mmlu_miscellaneous", | |
| "mmlu_marketing", | |
| "mmlu_business_ethics", | |
| "mmlu_human_aging", | |
| "mmlu_professional_medicine", | |
| "mmlu_nutrition", | |
| "mmlu_college_medicine", | |
| "mmlu_virology", | |
| "mmlu_medical_genetics", | |
| "mmlu_clinical_knowledge", | |
| "mmlu_global_facts", | |
| "mmlu_management" | |
| ], | |
| "mmlu": [ | |
| "mmlu_stem", | |
| "mmlu_other", | |
| "mmlu_social_sciences", | |
| "mmlu_humanities" | |
| ], | |
| "mmlu_stem": [ | |
| "mmlu_elementary_mathematics", | |
| "mmlu_high_school_biology", | |
| "mmlu_electrical_engineering", | |
| "mmlu_high_school_mathematics", | |
| "mmlu_astronomy", | |
| "mmlu_machine_learning", | |
| "mmlu_college_chemistry", | |
| "mmlu_abstract_algebra", | |
| "mmlu_high_school_chemistry", | |
| "mmlu_computer_security", | |
| "mmlu_college_biology", | |
| "mmlu_high_school_computer_science", | |
| "mmlu_anatomy", | |
| "mmlu_college_mathematics", | |
| "mmlu_high_school_statistics", | |
| "mmlu_high_school_physics", | |
| "mmlu_conceptual_physics", | |
| "mmlu_college_computer_science", | |
| "mmlu_college_physics" | |
| ] | |
| }, | |
| "configs": { | |
| "ifeval": { | |
| "task": "ifeval", | |
| "dataset_path": "google/IFEval", | |
| "test_split": "train", | |
| "doc_to_text": "prompt", | |
| "doc_to_target": 0, | |
| "unsafe_code": false, | |
| "process_results": "def process_results(doc, results):\n inp = InputExample(\n key=doc[\"key\"],\n instruction_id_list=doc[\"instruction_id_list\"],\n prompt=doc[\"prompt\"],\n kwargs=doc[\"kwargs\"],\n )\n response = results[0]\n\n out_strict = test_instruction_following_strict(inp, response)\n out_loose = test_instruction_following_loose(inp, response)\n\n return {\n \"prompt_level_strict_acc\": out_strict.follow_all_instructions,\n \"inst_level_strict_acc\": out_strict.follow_instruction_list,\n \"prompt_level_loose_acc\": out_loose.follow_all_instructions,\n \"inst_level_loose_acc\": out_loose.follow_instruction_list,\n }\n", | |
| "description": "", | |
| "target_delimiter": " ", | |
| "fewshot_delimiter": "\n\n", | |
| "num_fewshot": 0, | |
| "metric_list": [ | |
| { | |
| "metric": "prompt_level_strict_acc", | |
| "aggregation": "mean", | |
| "higher_is_better": true | |
| }, | |
| { | |
| "metric": "inst_level_strict_acc", | |
| "aggregation": "def agg_inst_level_acc(items):\n flat_items = [item for sublist in items for item in sublist]\n inst_level_acc = sum(flat_items) / len(flat_items)\n return inst_level_acc\n", | |
| "higher_is_better": true | |
| }, | |
| { | |
| "metric": "prompt_level_loose_acc", | |
| "aggregation": "mean", | |
| "higher_is_better": true | |
| }, | |
| { | |
| "metric": "inst_level_loose_acc", | |
| "aggregation": "def agg_inst_level_acc(items):\n flat_items = [item for sublist in items for item in sublist]\n inst_level_acc = sum(flat_items) / len(flat_items)\n return inst_level_acc\n", | |
| "higher_is_better": true | |
| } | |
| ], | |
| "output_type": "generate_until", | |
| "generation_kwargs": { | |
| "until": [], | |
| "do_sample": false, | |
| "temperature": 0.0, | |
| "max_gen_toks": 1280 | |
| }, | |
| "repeats": 1, | |
| "should_decontaminate": false, | |
| "metadata": { | |
| "version": 4.0, | |
| "pretrained": "/home/dgxuser/workspace/Mango/axolotl/24B-Retrain/merged", | |
| "tokenizer": "/home/dgxuser/workspace/Mango/axolotl/24B-Retrain/merged", | |
| "max_gen_toks": 4096, | |
| "max_model_len": 8192, | |
| "enable_prefix_caching": true, | |
| "enable_chunked_prefill": true, | |
| "tensor_parallel_size": 8 | |
| } | |
| }, | |
| "mmlu_abstract_algebra": { | |
| "task": "mmlu_abstract_algebra", | |
| "task_alias": "abstract_algebra", | |
| "tag": "mmlu_stem_tasks", | |
| "dataset_path": "cais/mmlu", | |
| "dataset_name": "abstract_algebra", | |
| "dataset_kwargs": { | |
| "trust_remote_code": true | |
| }, | |
| "test_split": "test", | |
| "fewshot_split": "dev", | |
| "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", | |
| "doc_to_target": "answer", | |
| "unsafe_code": false, | |
| "doc_to_choice": [ | |
| "A", | |
| "B", | |
| "C", | |
| "D" | |
| ], | |
| "description": "The following are multiple choice questions (with answers) about abstract algebra.\n\n", | |
| "target_delimiter": " ", | |
| "fewshot_delimiter": "\n\n", | |
| "fewshot_config": { | |
| "sampler": "first_n" | |
| }, | |
| "num_fewshot": 0, | |
| "metric_list": [ | |
| { | |
| "metric": "acc", | |
| "aggregation": "mean", | |
| "higher_is_better": true | |
| } | |
| ], | |
| "output_type": "multiple_choice", | |
| "repeats": 1, | |
| "should_decontaminate": false, | |
| "metadata": { | |
| "version": 1.0, | |
| "pretrained": "/home/dgxuser/workspace/Mango/axolotl/24B-Retrain/merged", | |
| "tokenizer": "/home/dgxuser/workspace/Mango/axolotl/24B-Retrain/merged", | |
| "max_gen_toks": 4096, | |
| "max_model_len": 8192, | |
| "enable_prefix_caching": true, | |
| "enable_chunked_prefill": true, | |
| "tensor_parallel_size": 8 | |
| } | |
| }, | |
| "mmlu_anatomy": { | |
| "task": "mmlu_anatomy", | |
| "task_alias": "anatomy", | |
| "tag": "mmlu_stem_tasks", | |
| "dataset_path": "cais/mmlu", | |
| "dataset_name": "anatomy", | |
| "dataset_kwargs": { | |
| "trust_remote_code": true | |
| }, | |
| "test_split": "test", | |
| "fewshot_split": "dev", | |
| "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", | |
| "doc_to_target": "answer", | |
| "unsafe_code": false, | |
| "doc_to_choice": [ | |
| "A", | |
| "B", | |
| "C", | |
| "D" | |
| ], | |
| "description": "The following are multiple choice questions (with answers) about anatomy.\n\n", | |
| "target_delimiter": " ", | |
| "fewshot_delimiter": "\n\n", | |
| "fewshot_config": { | |
| "sampler": "first_n" | |
| }, | |
| "num_fewshot": 0, | |
| "metric_list": [ | |
| { | |
| "metric": "acc", | |
| "aggregation": "mean", | |
| "higher_is_better": true | |
| } | |
| ], | |
| "output_type": "multiple_choice", | |
| "repeats": 1, | |
| "should_decontaminate": false, | |
| "metadata": { | |
| "version": 1.0, | |
| "pretrained": "/home/dgxuser/workspace/Mango/axolotl/24B-Retrain/merged", | |
| "tokenizer": "/home/dgxuser/workspace/Mango/axolotl/24B-Retrain/merged", | |
| "max_gen_toks": 4096, | |
| "max_model_len": 8192, | |
| "enable_prefix_caching": true, | |
| "enable_chunked_prefill": true, | |
| "tensor_parallel_size": 8 | |
| } | |
| }, | |
| "mmlu_astronomy": { | |
| "task": "mmlu_astronomy", | |
| "task_alias": "astronomy", | |
| "tag": "mmlu_stem_tasks", | |
| "dataset_path": "cais/mmlu", | |
| "dataset_name": "astronomy", | |
| "dataset_kwargs": { | |
| "trust_remote_code": true | |
| }, | |
| "test_split": "test", | |
| "fewshot_split": "dev", | |
| "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", | |
| "doc_to_target": "answer", | |
| "unsafe_code": false, | |
| "doc_to_choice": [ | |
| "A", | |
| "B", | |
| "C", | |
| "D" | |
| ], | |
| "description": "The following are multiple choice questions (with answers) about astronomy.\n\n", | |
| "target_delimiter": " ", | |
| "fewshot_delimiter": "\n\n", | |
| "fewshot_config": { | |
| "sampler": "first_n" | |
| }, | |
| "num_fewshot": 0, | |
| "metric_list": [ | |
| { | |
| "metric": "acc", | |
| "aggregation": "mean", | |
| "higher_is_better": true | |
| } | |
| ], | |
| "output_type": "multiple_choice", | |
| "repeats": 1, | |
| "should_decontaminate": false, | |
| "metadata": { | |
| "version": 1.0, | |
| "pretrained": "/home/dgxuser/workspace/Mango/axolotl/24B-Retrain/merged", | |
| "tokenizer": "/home/dgxuser/workspace/Mango/axolotl/24B-Retrain/merged", | |
| "max_gen_toks": 4096, | |
| "max_model_len": 8192, | |
| "enable_prefix_caching": true, | |
| "enable_chunked_prefill": true, | |
| "tensor_parallel_size": 8 | |
| } | |
| }, | |
| "mmlu_business_ethics": { | |
| "task": "mmlu_business_ethics", | |
| "task_alias": "business_ethics", | |
| "tag": "mmlu_other_tasks", | |
| "dataset_path": "cais/mmlu", | |
| "dataset_name": "business_ethics", | |
| "dataset_kwargs": { | |
| "trust_remote_code": true | |
| }, | |
| "test_split": "test", | |
| "fewshot_split": "dev", | |
| "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", | |
| "doc_to_target": "answer", | |
| "unsafe_code": false, | |
| "doc_to_choice": [ | |
| "A", | |
| "B", | |
| "C", | |
| "D" | |
| ], | |
| "description": "The following are multiple choice questions (with answers) about business ethics.\n\n", | |
| "target_delimiter": " ", | |
| "fewshot_delimiter": "\n\n", | |
| "fewshot_config": { | |
| "sampler": "first_n" | |
| }, | |
| "num_fewshot": 0, | |
| "metric_list": [ | |
| { | |
| "metric": "acc", | |
| "aggregation": "mean", | |
| "higher_is_better": true | |
| } | |
| ], | |
| "output_type": "multiple_choice", | |
| "repeats": 1, | |
| "should_decontaminate": false, | |
| "metadata": { | |
| "version": 1.0, | |
| "pretrained": "/home/dgxuser/workspace/Mango/axolotl/24B-Retrain/merged", | |
| "tokenizer": "/home/dgxuser/workspace/Mango/axolotl/24B-Retrain/merged", | |
| "max_gen_toks": 4096, | |
| "max_model_len": 8192, | |
| "enable_prefix_caching": true, | |
| "enable_chunked_prefill": true, | |
| "tensor_parallel_size": 8 | |
| } | |
| }, | |
| "mmlu_clinical_knowledge": { | |
| "task": "mmlu_clinical_knowledge", | |
| "task_alias": "clinical_knowledge", | |
| "tag": "mmlu_other_tasks", | |
| "dataset_path": "cais/mmlu", | |
| "dataset_name": "clinical_knowledge", | |
| "dataset_kwargs": { | |
| "trust_remote_code": true | |
| }, | |
| "test_split": "test", | |
| "fewshot_split": "dev", | |
| "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", | |
| "doc_to_target": "answer", | |
| "unsafe_code": false, | |
| "doc_to_choice": [ | |
| "A", | |
| "B", | |
| "C", | |
| "D" | |
| ], | |
| "description": "The following are multiple choice questions (with answers) about clinical knowledge.\n\n", | |
| "target_delimiter": " ", | |
| "fewshot_delimiter": "\n\n", | |
| "fewshot_config": { | |
| "sampler": "first_n" | |
| }, | |
| "num_fewshot": 0, | |
| "metric_list": [ | |
| { | |
| "metric": "acc", | |
| "aggregation": "mean", | |
| "higher_is_better": true | |
| } | |
| ], | |
| "output_type": "multiple_choice", | |
| "repeats": 1, | |
| "should_decontaminate": false, | |
| "metadata": { | |
| "version": 1.0, | |
| "pretrained": "/home/dgxuser/workspace/Mango/axolotl/24B-Retrain/merged", | |
| "tokenizer": "/home/dgxuser/workspace/Mango/axolotl/24B-Retrain/merged", | |
| "max_gen_toks": 4096, | |
| "max_model_len": 8192, | |
| "enable_prefix_caching": true, | |
| "enable_chunked_prefill": true, | |
| "tensor_parallel_size": 8 | |
| } | |
| }, | |
| "mmlu_college_biology": { | |
| "task": "mmlu_college_biology", | |
| "task_alias": "college_biology", | |
| "tag": "mmlu_stem_tasks", | |
| "dataset_path": "cais/mmlu", | |
| "dataset_name": "college_biology", | |
| "dataset_kwargs": { | |
| "trust_remote_code": true | |
| }, | |
| "test_split": "test", | |
| "fewshot_split": "dev", | |
| "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", | |
| "doc_to_target": "answer", | |
| "unsafe_code": false, | |
| "doc_to_choice": [ | |
| "A", | |
| "B", | |
| "C", | |
| "D" | |
| ], | |
| "description": "The following are multiple choice questions (with answers) about college biology.\n\n", | |
| "target_delimiter": " ", | |
| "fewshot_delimiter": "\n\n", | |
| "fewshot_config": { | |
| "sampler": "first_n" | |
| }, | |
| "num_fewshot": 0, | |
| "metric_list": [ | |
| { | |
| "metric": "acc", | |
| "aggregation": "mean", | |
| "higher_is_better": true | |
| } | |
| ], | |
| "output_type": "multiple_choice", | |
| "repeats": 1, | |
| "should_decontaminate": false, | |
| "metadata": { | |
| "version": 1.0, | |
| "pretrained": "/home/dgxuser/workspace/Mango/axolotl/24B-Retrain/merged", | |
| "tokenizer": "/home/dgxuser/workspace/Mango/axolotl/24B-Retrain/merged", | |
| "max_gen_toks": 4096, | |
| "max_model_len": 8192, | |
| "enable_prefix_caching": true, | |
| "enable_chunked_prefill": true, | |
| "tensor_parallel_size": 8 | |
| } | |
| }, | |
| "mmlu_college_chemistry": { | |
| "task": "mmlu_college_chemistry", | |
| "task_alias": "college_chemistry", | |
| "tag": "mmlu_stem_tasks", | |
| "dataset_path": "cais/mmlu", | |
| "dataset_name": "college_chemistry", | |
| "dataset_kwargs": { | |
| "trust_remote_code": true | |
| }, | |
| "test_split": "test", | |
| "fewshot_split": "dev", | |
| "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", | |
| "doc_to_target": "answer", | |
| "unsafe_code": false, | |
| "doc_to_choice": [ | |
| "A", | |
| "B", | |
| "C", | |
| "D" | |
| ], | |
| "description": "The following are multiple choice questions (with answers) about college chemistry.\n\n", | |
| "target_delimiter": " ", | |
| "fewshot_delimiter": "\n\n", | |
| "fewshot_config": { | |
| "sampler": "first_n" | |
| }, | |
| "num_fewshot": 0, | |
| "metric_list": [ | |
| { | |
| "metric": "acc", | |
| "aggregation": "mean", | |
| "higher_is_better": true | |
| } | |
| ], | |
| "output_type": "multiple_choice", | |
| "repeats": 1, | |
| "should_decontaminate": false, | |
| "metadata": { | |
| "version": 1.0, | |
| "pretrained": "/home/dgxuser/workspace/Mango/axolotl/24B-Retrain/merged", | |
| "tokenizer": "/home/dgxuser/workspace/Mango/axolotl/24B-Retrain/merged", | |
| "max_gen_toks": 4096, | |
| "max_model_len": 8192, | |
| "enable_prefix_caching": true, | |
| "enable_chunked_prefill": true, | |
| "tensor_parallel_size": 8 | |
| } | |
| }, | |
| "mmlu_college_computer_science": { | |
| "task": "mmlu_college_computer_science", | |
| "task_alias": "college_computer_science", | |
| "tag": "mmlu_stem_tasks", | |
| "dataset_path": "cais/mmlu", | |
| "dataset_name": "college_computer_science", | |
| "dataset_kwargs": { | |
| "trust_remote_code": true | |
| }, | |
| "test_split": "test", | |
| "fewshot_split": "dev", | |
| "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", | |
| "doc_to_target": "answer", | |
| "unsafe_code": false, | |
| "doc_to_choice": [ | |
| "A", | |
| "B", | |
| "C", | |
| "D" | |
| ], | |
| "description": "The following are multiple choice questions (with answers) about college computer science.\n\n", | |
| "target_delimiter": " ", | |
| "fewshot_delimiter": "\n\n", | |
| "fewshot_config": { | |
| "sampler": "first_n" | |
| }, | |
| "num_fewshot": 0, | |
| "metric_list": [ | |
| { | |
| "metric": "acc", | |
| "aggregation": "mean", | |
| "higher_is_better": true | |
| } | |
| ], | |
| "output_type": "multiple_choice", | |
| "repeats": 1, | |
| "should_decontaminate": false, | |
| "metadata": { | |
| "version": 1.0, | |
| "pretrained": "/home/dgxuser/workspace/Mango/axolotl/24B-Retrain/merged", | |
| "tokenizer": "/home/dgxuser/workspace/Mango/axolotl/24B-Retrain/merged", | |
| "max_gen_toks": 4096, | |
| "max_model_len": 8192, | |
| "enable_prefix_caching": true, | |
| "enable_chunked_prefill": true, | |
| "tensor_parallel_size": 8 | |
| } | |
| }, | |
| "mmlu_college_mathematics": { | |
| "task": "mmlu_college_mathematics", | |
| "task_alias": "college_mathematics", | |
| "tag": "mmlu_stem_tasks", | |
| "dataset_path": "cais/mmlu", | |
| "dataset_name": "college_mathematics", | |
| "dataset_kwargs": { | |
| "trust_remote_code": true | |
| }, | |
| "test_split": "test", | |
| "fewshot_split": "dev", | |
| "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", | |
| "doc_to_target": "answer", | |
| "unsafe_code": false, | |
| "doc_to_choice": [ | |
| "A", | |
| "B", | |
| "C", | |
| "D" | |
| ], | |
| "description": "The following are multiple choice questions (with answers) about college mathematics.\n\n", | |
| "target_delimiter": " ", | |
| "fewshot_delimiter": "\n\n", | |
| "fewshot_config": { | |
| "sampler": "first_n" | |
| }, | |
| "num_fewshot": 0, | |
| "metric_list": [ | |
| { | |
| "metric": "acc", | |
| "aggregation": "mean", | |
| "higher_is_better": true | |
| } | |
| ], | |
| "output_type": "multiple_choice", | |
| "repeats": 1, | |
| "should_decontaminate": false, | |
| "metadata": { | |
| "version": 1.0, | |
| "pretrained": "/home/dgxuser/workspace/Mango/axolotl/24B-Retrain/merged", | |
| "tokenizer": "/home/dgxuser/workspace/Mango/axolotl/24B-Retrain/merged", | |
| "max_gen_toks": 4096, | |
| "max_model_len": 8192, | |
| "enable_prefix_caching": true, | |
| "enable_chunked_prefill": true, | |
| "tensor_parallel_size": 8 | |
| } | |
| }, | |
| "mmlu_college_medicine": { | |
| "task": "mmlu_college_medicine", | |
| "task_alias": "college_medicine", | |
| "tag": "mmlu_other_tasks", | |
| "dataset_path": "cais/mmlu", | |
| "dataset_name": "college_medicine", | |
| "dataset_kwargs": { | |
| "trust_remote_code": true | |
| }, | |
| "test_split": "test", | |
| "fewshot_split": "dev", | |
| "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", | |
| "doc_to_target": "answer", | |
| "unsafe_code": false, | |
| "doc_to_choice": [ | |
| "A", | |
| "B", | |
| "C", | |
| "D" | |
| ], | |
| "description": "The following are multiple choice questions (with answers) about college medicine.\n\n", | |
| "target_delimiter": " ", | |
| "fewshot_delimiter": "\n\n", | |
| "fewshot_config": { | |
| "sampler": "first_n" | |
| }, | |
| "num_fewshot": 0, | |
| "metric_list": [ | |
| { | |
| "metric": "acc", | |
| "aggregation": "mean", | |
| "higher_is_better": true | |
| } | |
| ], | |
| "output_type": "multiple_choice", | |
| "repeats": 1, | |
| "should_decontaminate": false, | |
| "metadata": { | |
| "version": 1.0, | |
| "pretrained": "/home/dgxuser/workspace/Mango/axolotl/24B-Retrain/merged", | |
| "tokenizer": "/home/dgxuser/workspace/Mango/axolotl/24B-Retrain/merged", | |
| "max_gen_toks": 4096, | |
| "max_model_len": 8192, | |
| "enable_prefix_caching": true, | |
| "enable_chunked_prefill": true, | |
| "tensor_parallel_size": 8 | |
| } | |
| }, | |
| "mmlu_college_physics": { | |
| "task": "mmlu_college_physics", | |
| "task_alias": "college_physics", | |
| "tag": "mmlu_stem_tasks", | |
| "dataset_path": "cais/mmlu", | |
| "dataset_name": "college_physics", | |
| "dataset_kwargs": { | |
| "trust_remote_code": true | |
| }, | |
| "test_split": "test", | |
| "fewshot_split": "dev", | |
| "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", | |
| "doc_to_target": "answer", | |
| "unsafe_code": false, | |
| "doc_to_choice": [ | |
| "A", | |
| "B", | |
| "C", | |
| "D" | |
| ], | |
| "description": "The following are multiple choice questions (with answers) about college physics.\n\n", | |
| "target_delimiter": " ", | |
| "fewshot_delimiter": "\n\n", | |
| "fewshot_config": { | |
| "sampler": "first_n" | |
| }, | |
| "num_fewshot": 0, | |
| "metric_list": [ | |
| { | |
| "metric": "acc", | |
| "aggregation": "mean", | |
| "higher_is_better": true | |
| } | |
| ], | |
| "output_type": "multiple_choice", | |
| "repeats": 1, | |
| "should_decontaminate": false, | |
| "metadata": { | |
| "version": 1.0, | |
| "pretrained": "/home/dgxuser/workspace/Mango/axolotl/24B-Retrain/merged", | |
| "tokenizer": "/home/dgxuser/workspace/Mango/axolotl/24B-Retrain/merged", | |
| "max_gen_toks": 4096, | |
| "max_model_len": 8192, | |
| "enable_prefix_caching": true, | |
| "enable_chunked_prefill": true, | |
| "tensor_parallel_size": 8 | |
| } | |
| }, | |
| "mmlu_computer_security": { | |
| "task": "mmlu_computer_security", | |
| "task_alias": "computer_security", | |
| "tag": "mmlu_stem_tasks", | |
| "dataset_path": "cais/mmlu", | |
| "dataset_name": "computer_security", | |
| "dataset_kwargs": { | |
| "trust_remote_code": true | |
| }, | |
| "test_split": "test", | |
| "fewshot_split": "dev", | |
| "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", | |
| "doc_to_target": "answer", | |
| "unsafe_code": false, | |
| "doc_to_choice": [ | |
| "A", | |
| "B", | |
| "C", | |
| "D" | |
| ], | |
| "description": "The following are multiple choice questions (with answers) about computer security.\n\n", | |
| "target_delimiter": " ", | |
| "fewshot_delimiter": "\n\n", | |
| "fewshot_config": { | |
| "sampler": "first_n" | |
| }, | |
| "num_fewshot": 0, | |
| "metric_list": [ | |
| { | |
| "metric": "acc", | |
| "aggregation": "mean", | |
| "higher_is_better": true | |
| } | |
| ], | |
| "output_type": "multiple_choice", | |
| "repeats": 1, | |
| "should_decontaminate": false, | |
| "metadata": { | |
| "version": 1.0, | |
| "pretrained": "/home/dgxuser/workspace/Mango/axolotl/24B-Retrain/merged", | |
| "tokenizer": "/home/dgxuser/workspace/Mango/axolotl/24B-Retrain/merged", | |
| "max_gen_toks": 4096, | |
| "max_model_len": 8192, | |
| "enable_prefix_caching": true, | |
| "enable_chunked_prefill": true, | |
| "tensor_parallel_size": 8 | |
| } | |
| }, | |
| "mmlu_conceptual_physics": { | |
| "task": "mmlu_conceptual_physics", | |
| "task_alias": "conceptual_physics", | |
| "tag": "mmlu_stem_tasks", | |
| "dataset_path": "cais/mmlu", | |
| "dataset_name": "conceptual_physics", | |
| "dataset_kwargs": { | |
| "trust_remote_code": true | |
| }, | |
| "test_split": "test", | |
| "fewshot_split": "dev", | |
| "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", | |
| "doc_to_target": "answer", | |
| "unsafe_code": false, | |
| "doc_to_choice": [ | |
| "A", | |
| "B", | |
| "C", | |
| "D" | |
| ], | |
| "description": "The following are multiple choice questions (with answers) about conceptual physics.\n\n", | |
| "target_delimiter": " ", | |
| "fewshot_delimiter": "\n\n", | |
| "fewshot_config": { | |
| "sampler": "first_n" | |
| }, | |
| "num_fewshot": 0, | |
| "metric_list": [ | |
| { | |
| "metric": "acc", | |
| "aggregation": "mean", | |
| "higher_is_better": true | |
| } | |
| ], | |
| "output_type": "multiple_choice", | |
| "repeats": 1, | |
| "should_decontaminate": false, | |
| "metadata": { | |
| "version": 1.0, | |
| "pretrained": "/home/dgxuser/workspace/Mango/axolotl/24B-Retrain/merged", | |
| "tokenizer": "/home/dgxuser/workspace/Mango/axolotl/24B-Retrain/merged", | |
| "max_gen_toks": 4096, | |
| "max_model_len": 8192, | |
| "enable_prefix_caching": true, | |
| "enable_chunked_prefill": true, | |
| "tensor_parallel_size": 8 | |
| } | |
| }, | |
| "mmlu_econometrics": { | |
| "task": "mmlu_econometrics", | |
| "task_alias": "econometrics", | |
| "tag": "mmlu_social_sciences_tasks", | |
| "dataset_path": "cais/mmlu", | |
| "dataset_name": "econometrics", | |
| "dataset_kwargs": { | |
| "trust_remote_code": true | |
| }, | |
| "test_split": "test", | |
| "fewshot_split": "dev", | |
| "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", | |
| "doc_to_target": "answer", | |
| "unsafe_code": false, | |
| "doc_to_choice": [ | |
| "A", | |
| "B", | |
| "C", | |
| "D" | |
| ], | |
| "description": "The following are multiple choice questions (with answers) about econometrics.\n\n", | |
| "target_delimiter": " ", | |
| "fewshot_delimiter": "\n\n", | |
| "fewshot_config": { | |
| "sampler": "first_n" | |
| }, | |
| "num_fewshot": 0, | |
| "metric_list": [ | |
| { | |
| "metric": "acc", | |
| "aggregation": "mean", | |
| "higher_is_better": true | |
| } | |
| ], | |
| "output_type": "multiple_choice", | |
| "repeats": 1, | |
| "should_decontaminate": false, | |
| "metadata": { | |
| "version": 1.0, | |
| "pretrained": "/home/dgxuser/workspace/Mango/axolotl/24B-Retrain/merged", | |
| "tokenizer": "/home/dgxuser/workspace/Mango/axolotl/24B-Retrain/merged", | |
| "max_gen_toks": 4096, | |
| "max_model_len": 8192, | |
| "enable_prefix_caching": true, | |
| "enable_chunked_prefill": true, | |
| "tensor_parallel_size": 8 | |
| } | |
| }, | |
| "mmlu_electrical_engineering": { | |
| "task": "mmlu_electrical_engineering", | |
| "task_alias": "electrical_engineering", | |
| "tag": "mmlu_stem_tasks", | |
| "dataset_path": "cais/mmlu", | |
| "dataset_name": "electrical_engineering", | |
| "dataset_kwargs": { | |
| "trust_remote_code": true | |
| }, | |
| "test_split": "test", | |
| "fewshot_split": "dev", | |
| "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", | |
| "doc_to_target": "answer", | |
| "unsafe_code": false, | |
| "doc_to_choice": [ | |
| "A", | |
| "B", | |
| "C", | |
| "D" | |
| ], | |
| "description": "The following are multiple choice questions (with answers) about electrical engineering.\n\n", | |
| "target_delimiter": " ", | |
| "fewshot_delimiter": "\n\n", | |
| "fewshot_config": { | |
| "sampler": "first_n" | |
| }, | |
| "num_fewshot": 0, | |
| "metric_list": [ | |
| { | |
| "metric": "acc", | |
| "aggregation": "mean", | |
| "higher_is_better": true | |
| } | |
| ], | |
| "output_type": "multiple_choice", | |
| "repeats": 1, | |
| "should_decontaminate": false, | |
| "metadata": { | |
| "version": 1.0, | |
| "pretrained": "/home/dgxuser/workspace/Mango/axolotl/24B-Retrain/merged", | |
| "tokenizer": "/home/dgxuser/workspace/Mango/axolotl/24B-Retrain/merged", | |
| "max_gen_toks": 4096, | |
| "max_model_len": 8192, | |
| "enable_prefix_caching": true, | |
| "enable_chunked_prefill": true, | |
| "tensor_parallel_size": 8 | |
| } | |
| }, | |
| "mmlu_elementary_mathematics": { | |
| "task": "mmlu_elementary_mathematics", | |
| "task_alias": "elementary_mathematics", | |
| "tag": "mmlu_stem_tasks", | |
| "dataset_path": "cais/mmlu", | |
| "dataset_name": "elementary_mathematics", | |
| "dataset_kwargs": { | |
| "trust_remote_code": true | |
| }, | |
| "test_split": "test", | |
| "fewshot_split": "dev", | |
| "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", | |
| "doc_to_target": "answer", | |
| "unsafe_code": false, | |
| "doc_to_choice": [ | |
| "A", | |
| "B", | |
| "C", | |
| "D" | |
| ], | |
| "description": "The following are multiple choice questions (with answers) about elementary mathematics.\n\n", | |
| "target_delimiter": " ", | |
| "fewshot_delimiter": "\n\n", | |
| "fewshot_config": { | |
| "sampler": "first_n" | |
| }, | |
| "num_fewshot": 0, | |
| "metric_list": [ | |
| { | |
| "metric": "acc", | |
| "aggregation": "mean", | |
| "higher_is_better": true | |
| } | |
| ], | |
| "output_type": "multiple_choice", | |
| "repeats": 1, | |
| "should_decontaminate": false, | |
| "metadata": { | |
| "version": 1.0, | |
| "pretrained": "/home/dgxuser/workspace/Mango/axolotl/24B-Retrain/merged", | |
| "tokenizer": "/home/dgxuser/workspace/Mango/axolotl/24B-Retrain/merged", | |
| "max_gen_toks": 4096, | |
| "max_model_len": 8192, | |
| "enable_prefix_caching": true, | |
| "enable_chunked_prefill": true, | |
| "tensor_parallel_size": 8 | |
| } | |
| }, | |
| "mmlu_formal_logic": { | |
| "task": "mmlu_formal_logic", | |
| "task_alias": "formal_logic", | |
| "tag": "mmlu_humanities_tasks", | |
| "dataset_path": "cais/mmlu", | |
| "dataset_name": "formal_logic", | |
| "dataset_kwargs": { | |
| "trust_remote_code": true | |
| }, | |
| "test_split": "test", | |
| "fewshot_split": "dev", | |
| "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", | |
| "doc_to_target": "answer", | |
| "unsafe_code": false, | |
| "doc_to_choice": [ | |
| "A", | |
| "B", | |
| "C", | |
| "D" | |
| ], | |
| "description": "The following are multiple choice questions (with answers) about formal logic.\n\n", | |
| "target_delimiter": " ", | |
| "fewshot_delimiter": "\n\n", | |
| "fewshot_config": { | |
| "sampler": "first_n" | |
| }, | |
| "num_fewshot": 0, | |
| "metric_list": [ | |
| { | |
| "metric": "acc", | |
| "aggregation": "mean", | |
| "higher_is_better": true | |
| } | |
| ], | |
| "output_type": "multiple_choice", | |
| "repeats": 1, | |
| "should_decontaminate": false, | |
| "metadata": { | |
| "version": 1.0, | |
| "pretrained": "/home/dgxuser/workspace/Mango/axolotl/24B-Retrain/merged", | |
| "tokenizer": "/home/dgxuser/workspace/Mango/axolotl/24B-Retrain/merged", | |
| "max_gen_toks": 4096, | |
| "max_model_len": 8192, | |
| "enable_prefix_caching": true, | |
| "enable_chunked_prefill": true, | |
| "tensor_parallel_size": 8 | |
| } | |
| }, | |
| "mmlu_global_facts": { | |
| "task": "mmlu_global_facts", | |
| "task_alias": "global_facts", | |
| "tag": "mmlu_other_tasks", | |
| "dataset_path": "cais/mmlu", | |
| "dataset_name": "global_facts", | |
| "dataset_kwargs": { | |
| "trust_remote_code": true | |
| }, | |
| "test_split": "test", | |
| "fewshot_split": "dev", | |
| "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", | |
| "doc_to_target": "answer", | |
| "unsafe_code": false, | |
| "doc_to_choice": [ | |
| "A", | |
| "B", | |
| "C", | |
| "D" | |
| ], | |
| "description": "The following are multiple choice questions (with answers) about global facts.\n\n", | |
| "target_delimiter": " ", | |
| "fewshot_delimiter": "\n\n", | |
| "fewshot_config": { | |
| "sampler": "first_n" | |
| }, | |
| "num_fewshot": 0, | |
| "metric_list": [ | |
| { | |
| "metric": "acc", | |
| "aggregation": "mean", | |
| "higher_is_better": true | |
| } | |
| ], | |
| "output_type": "multiple_choice", | |
| "repeats": 1, | |
| "should_decontaminate": false, | |
| "metadata": { | |
| "version": 1.0, | |
| "pretrained": "/home/dgxuser/workspace/Mango/axolotl/24B-Retrain/merged", | |
| "tokenizer": "/home/dgxuser/workspace/Mango/axolotl/24B-Retrain/merged", | |
| "max_gen_toks": 4096, | |
| "max_model_len": 8192, | |
| "enable_prefix_caching": true, | |
| "enable_chunked_prefill": true, | |
| "tensor_parallel_size": 8 | |
| } | |
| }, | |
| "mmlu_high_school_biology": { | |
| "task": "mmlu_high_school_biology", | |
| "task_alias": "high_school_biology", | |
| "tag": "mmlu_stem_tasks", | |
| "dataset_path": "cais/mmlu", | |
| "dataset_name": "high_school_biology", | |
| "dataset_kwargs": { | |
| "trust_remote_code": true | |
| }, | |
| "test_split": "test", | |
| "fewshot_split": "dev", | |
| "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", | |
| "doc_to_target": "answer", | |
| "unsafe_code": false, | |
| "doc_to_choice": [ | |
| "A", | |
| "B", | |
| "C", | |
| "D" | |
| ], | |
| "description": "The following are multiple choice questions (with answers) about high school biology.\n\n", | |
| "target_delimiter": " ", | |
| "fewshot_delimiter": "\n\n", | |
| "fewshot_config": { | |
| "sampler": "first_n" | |
| }, | |
| "num_fewshot": 0, | |
| "metric_list": [ | |
| { | |
| "metric": "acc", | |
| "aggregation": "mean", | |
| "higher_is_better": true | |
| } | |
| ], | |
| "output_type": "multiple_choice", | |
| "repeats": 1, | |
| "should_decontaminate": false, | |
| "metadata": { | |
| "version": 1.0, | |
| "pretrained": "/home/dgxuser/workspace/Mango/axolotl/24B-Retrain/merged", | |
| "tokenizer": "/home/dgxuser/workspace/Mango/axolotl/24B-Retrain/merged", | |
| "max_gen_toks": 4096, | |
| "max_model_len": 8192, | |
| "enable_prefix_caching": true, | |
| "enable_chunked_prefill": true, | |
| "tensor_parallel_size": 8 | |
| } | |
| }, | |
| "mmlu_high_school_chemistry": { | |
| "task": "mmlu_high_school_chemistry", | |
| "task_alias": "high_school_chemistry", | |
| "tag": "mmlu_stem_tasks", | |
| "dataset_path": "cais/mmlu", | |
| "dataset_name": "high_school_chemistry", | |
| "dataset_kwargs": { | |
| "trust_remote_code": true | |
| }, | |
| "test_split": "test", | |
| "fewshot_split": "dev", | |
| "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", | |
| "doc_to_target": "answer", | |
| "unsafe_code": false, | |
| "doc_to_choice": [ | |
| "A", | |
| "B", | |
| "C", | |
| "D" | |
| ], | |
| "description": "The following are multiple choice questions (with answers) about high school chemistry.\n\n", | |
| "target_delimiter": " ", | |
| "fewshot_delimiter": "\n\n", | |
| "fewshot_config": { | |
| "sampler": "first_n" | |
| }, | |
| "num_fewshot": 0, | |
| "metric_list": [ | |
| { | |
| "metric": "acc", | |
| "aggregation": "mean", | |
| "higher_is_better": true | |
| } | |
| ], | |
| "output_type": "multiple_choice", | |
| "repeats": 1, | |
| "should_decontaminate": false, | |
| "metadata": { | |
| "version": 1.0, | |
| "pretrained": "/home/dgxuser/workspace/Mango/axolotl/24B-Retrain/merged", | |
| "tokenizer": "/home/dgxuser/workspace/Mango/axolotl/24B-Retrain/merged", | |
| "max_gen_toks": 4096, | |
| "max_model_len": 8192, | |
| "enable_prefix_caching": true, | |
| "enable_chunked_prefill": true, | |
| "tensor_parallel_size": 8 | |
| } | |
| }, | |
| "mmlu_high_school_computer_science": { | |
| "task": "mmlu_high_school_computer_science", | |
| "task_alias": "high_school_computer_science", | |
| "tag": "mmlu_stem_tasks", | |
| "dataset_path": "cais/mmlu", | |
| "dataset_name": "high_school_computer_science", | |
| "dataset_kwargs": { | |
| "trust_remote_code": true | |
| }, | |
| "test_split": "test", | |
| "fewshot_split": "dev", | |
| "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", | |
| "doc_to_target": "answer", | |
| "unsafe_code": false, | |
| "doc_to_choice": [ | |
| "A", | |
| "B", | |
| "C", | |
| "D" | |
| ], | |
| "description": "The following are multiple choice questions (with answers) about high school computer science.\n\n", | |
| "target_delimiter": " ", | |
| "fewshot_delimiter": "\n\n", | |
| "fewshot_config": { | |
| "sampler": "first_n" | |
| }, | |
| "num_fewshot": 0, | |
| "metric_list": [ | |
| { | |
| "metric": "acc", | |
| "aggregation": "mean", | |
| "higher_is_better": true | |
| } | |
| ], | |
| "output_type": "multiple_choice", | |
| "repeats": 1, | |
| "should_decontaminate": false, | |
| "metadata": { | |
| "version": 1.0, | |
| "pretrained": "/home/dgxuser/workspace/Mango/axolotl/24B-Retrain/merged", | |
| "tokenizer": "/home/dgxuser/workspace/Mango/axolotl/24B-Retrain/merged", | |
| "max_gen_toks": 4096, | |
| "max_model_len": 8192, | |
| "enable_prefix_caching": true, | |
| "enable_chunked_prefill": true, | |
| "tensor_parallel_size": 8 | |
| } | |
| }, | |
| "mmlu_high_school_european_history": { | |
| "task": "mmlu_high_school_european_history", | |
| "task_alias": "high_school_european_history", | |
| "tag": "mmlu_humanities_tasks", | |
| "dataset_path": "cais/mmlu", | |
| "dataset_name": "high_school_european_history", | |
| "dataset_kwargs": { | |
| "trust_remote_code": true | |
| }, | |
| "test_split": "test", | |
| "fewshot_split": "dev", | |
| "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", | |
| "doc_to_target": "answer", | |
| "unsafe_code": false, | |
| "doc_to_choice": [ | |
| "A", | |
| "B", | |
| "C", | |
| "D" | |
| ], | |
| "description": "The following are multiple choice questions (with answers) about high school european history.\n\n", | |
| "target_delimiter": " ", | |
| "fewshot_delimiter": "\n\n", | |
| "fewshot_config": { | |
| "sampler": "first_n" | |
| }, | |
| "num_fewshot": 0, | |
| "metric_list": [ | |
| { | |
| "metric": "acc", | |
| "aggregation": "mean", | |
| "higher_is_better": true | |
| } | |
| ], | |
| "output_type": "multiple_choice", | |
| "repeats": 1, | |
| "should_decontaminate": false, | |
| "metadata": { | |
| "version": 1.0, | |
| "pretrained": "/home/dgxuser/workspace/Mango/axolotl/24B-Retrain/merged", | |
| "tokenizer": "/home/dgxuser/workspace/Mango/axolotl/24B-Retrain/merged", | |
| "max_gen_toks": 4096, | |
| "max_model_len": 8192, | |
| "enable_prefix_caching": true, | |
| "enable_chunked_prefill": true, | |
| "tensor_parallel_size": 8 | |
| } | |
| }, | |
| "mmlu_high_school_geography": { | |
| "task": "mmlu_high_school_geography", | |
| "task_alias": "high_school_geography", | |
| "tag": "mmlu_social_sciences_tasks", | |
| "dataset_path": "cais/mmlu", | |
| "dataset_name": "high_school_geography", | |
| "dataset_kwargs": { | |
| "trust_remote_code": true | |
| }, | |
| "test_split": "test", | |
| "fewshot_split": "dev", | |
| "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", | |
| "doc_to_target": "answer", | |
| "unsafe_code": false, | |
| "doc_to_choice": [ | |
| "A", | |
| "B", | |
| "C", | |
| "D" | |
| ], | |
| "description": "The following are multiple choice questions (with answers) about high school geography.\n\n", | |
| "target_delimiter": " ", | |
| "fewshot_delimiter": "\n\n", | |
| "fewshot_config": { | |
| "sampler": "first_n" | |
| }, | |
| "num_fewshot": 0, | |
| "metric_list": [ | |
| { | |
| "metric": "acc", | |
| "aggregation": "mean", | |
| "higher_is_better": true | |
| } | |
| ], | |
| "output_type": "multiple_choice", | |
| "repeats": 1, | |
| "should_decontaminate": false, | |
| "metadata": { | |
| "version": 1.0, | |
| "pretrained": "/home/dgxuser/workspace/Mango/axolotl/24B-Retrain/merged", | |
| "tokenizer": "/home/dgxuser/workspace/Mango/axolotl/24B-Retrain/merged", | |
| "max_gen_toks": 4096, | |
| "max_model_len": 8192, | |
| "enable_prefix_caching": true, | |
| "enable_chunked_prefill": true, | |
| "tensor_parallel_size": 8 | |
| } | |
| }, | |
| "mmlu_high_school_government_and_politics": { | |
| "task": "mmlu_high_school_government_and_politics", | |
| "task_alias": "high_school_government_and_politics", | |
| "tag": "mmlu_social_sciences_tasks", | |
| "dataset_path": "cais/mmlu", | |
| "dataset_name": "high_school_government_and_politics", | |
| "dataset_kwargs": { | |
| "trust_remote_code": true | |
| }, | |
| "test_split": "test", | |
| "fewshot_split": "dev", | |
| "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", | |
| "doc_to_target": "answer", | |
| "unsafe_code": false, | |
| "doc_to_choice": [ | |
| "A", | |
| "B", | |
| "C", | |
| "D" | |
| ], | |
| "description": "The following are multiple choice questions (with answers) about high school government and politics.\n\n", | |
| "target_delimiter": " ", | |
| "fewshot_delimiter": "\n\n", | |
| "fewshot_config": { | |
| "sampler": "first_n" | |
| }, | |
| "num_fewshot": 0, | |
| "metric_list": [ | |
| { | |
| "metric": "acc", | |
| "aggregation": "mean", | |
| "higher_is_better": true | |
| } | |
| ], | |
| "output_type": "multiple_choice", | |
| "repeats": 1, | |
| "should_decontaminate": false, | |
| "metadata": { | |
| "version": 1.0, | |
| "pretrained": "/home/dgxuser/workspace/Mango/axolotl/24B-Retrain/merged", | |
| "tokenizer": "/home/dgxuser/workspace/Mango/axolotl/24B-Retrain/merged", | |
| "max_gen_toks": 4096, | |
| "max_model_len": 8192, | |
| "enable_prefix_caching": true, | |
| "enable_chunked_prefill": true, | |
| "tensor_parallel_size": 8 | |
| } | |
| }, | |
| "mmlu_high_school_macroeconomics": { | |
| "task": "mmlu_high_school_macroeconomics", | |
| "task_alias": "high_school_macroeconomics", | |
| "tag": "mmlu_social_sciences_tasks", | |
| "dataset_path": "cais/mmlu", | |
| "dataset_name": "high_school_macroeconomics", | |
| "dataset_kwargs": { | |
| "trust_remote_code": true | |
| }, | |
| "test_split": "test", | |
| "fewshot_split": "dev", | |
| "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", | |
| "doc_to_target": "answer", | |
| "unsafe_code": false, | |
| "doc_to_choice": [ | |
| "A", | |
| "B", | |
| "C", | |
| "D" | |
| ], | |
| "description": "The following are multiple choice questions (with answers) about high school macroeconomics.\n\n", | |
| "target_delimiter": " ", | |
| "fewshot_delimiter": "\n\n", | |
| "fewshot_config": { | |
| "sampler": "first_n" | |
| }, | |
| "num_fewshot": 0, | |
| "metric_list": [ | |
| { | |
| "metric": "acc", | |
| "aggregation": "mean", | |
| "higher_is_better": true | |
| } | |
| ], | |
| "output_type": "multiple_choice", | |
| "repeats": 1, | |
| "should_decontaminate": false, | |
| "metadata": { | |
| "version": 1.0, | |
| "pretrained": "/home/dgxuser/workspace/Mango/axolotl/24B-Retrain/merged", | |
| "tokenizer": "/home/dgxuser/workspace/Mango/axolotl/24B-Retrain/merged", | |
| "max_gen_toks": 4096, | |
| "max_model_len": 8192, | |
| "enable_prefix_caching": true, | |
| "enable_chunked_prefill": true, | |
| "tensor_parallel_size": 8 | |
| } | |
| }, | |
| "mmlu_high_school_mathematics": { | |
| "task": "mmlu_high_school_mathematics", | |
| "task_alias": "high_school_mathematics", | |
| "tag": "mmlu_stem_tasks", | |
| "dataset_path": "cais/mmlu", | |
| "dataset_name": "high_school_mathematics", | |
| "dataset_kwargs": { | |
| "trust_remote_code": true | |
| }, | |
| "test_split": "test", | |
| "fewshot_split": "dev", | |
| "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", | |
| "doc_to_target": "answer", | |
| "unsafe_code": false, | |
| "doc_to_choice": [ | |
| "A", | |
| "B", | |
| "C", | |
| "D" | |
| ], | |
| "description": "The following are multiple choice questions (with answers) about high school mathematics.\n\n", | |
| "target_delimiter": " ", | |
| "fewshot_delimiter": "\n\n", | |
| "fewshot_config": { | |
| "sampler": "first_n" | |
| }, | |
| "num_fewshot": 0, | |
| "metric_list": [ | |
| { | |
| "metric": "acc", | |
| "aggregation": "mean", | |
| "higher_is_better": true | |
| } | |
| ], | |
| "output_type": "multiple_choice", | |
| "repeats": 1, | |
| "should_decontaminate": false, | |
| "metadata": { | |
| "version": 1.0, | |
| "pretrained": "/home/dgxuser/workspace/Mango/axolotl/24B-Retrain/merged", | |
| "tokenizer": "/home/dgxuser/workspace/Mango/axolotl/24B-Retrain/merged", | |
| "max_gen_toks": 4096, | |
| "max_model_len": 8192, | |
| "enable_prefix_caching": true, | |
| "enable_chunked_prefill": true, | |
| "tensor_parallel_size": 8 | |
| } | |
| }, | |
| "mmlu_high_school_microeconomics": { | |
| "task": "mmlu_high_school_microeconomics", | |
| "task_alias": "high_school_microeconomics", | |
| "tag": "mmlu_social_sciences_tasks", | |
| "dataset_path": "cais/mmlu", | |
| "dataset_name": "high_school_microeconomics", | |
| "dataset_kwargs": { | |
| "trust_remote_code": true | |
| }, | |
| "test_split": "test", | |
| "fewshot_split": "dev", | |
| "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", | |
| "doc_to_target": "answer", | |
| "unsafe_code": false, | |
| "doc_to_choice": [ | |
| "A", | |
| "B", | |
| "C", | |
| "D" | |
| ], | |
| "description": "The following are multiple choice questions (with answers) about high school microeconomics.\n\n", | |
| "target_delimiter": " ", | |
| "fewshot_delimiter": "\n\n", | |
| "fewshot_config": { | |
| "sampler": "first_n" | |
| }, | |
| "num_fewshot": 0, | |
| "metric_list": [ | |
| { | |
| "metric": "acc", | |
| "aggregation": "mean", | |
| "higher_is_better": true | |
| } | |
| ], | |
| "output_type": "multiple_choice", | |
| "repeats": 1, | |
| "should_decontaminate": false, | |
| "metadata": { | |
| "version": 1.0, | |
| "pretrained": "/home/dgxuser/workspace/Mango/axolotl/24B-Retrain/merged", | |
| "tokenizer": "/home/dgxuser/workspace/Mango/axolotl/24B-Retrain/merged", | |
| "max_gen_toks": 4096, | |
| "max_model_len": 8192, | |
| "enable_prefix_caching": true, | |
| "enable_chunked_prefill": true, | |
| "tensor_parallel_size": 8 | |
| } | |
| }, | |
| "mmlu_high_school_physics": { | |
| "task": "mmlu_high_school_physics", | |
| "task_alias": "high_school_physics", | |
| "tag": "mmlu_stem_tasks", | |
| "dataset_path": "cais/mmlu", | |
| "dataset_name": "high_school_physics", | |
| "dataset_kwargs": { | |
| "trust_remote_code": true | |
| }, | |
| "test_split": "test", | |
| "fewshot_split": "dev", | |
| "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", | |
| "doc_to_target": "answer", | |
| "unsafe_code": false, | |
| "doc_to_choice": [ | |
| "A", | |
| "B", | |
| "C", | |
| "D" | |
| ], | |
| "description": "The following are multiple choice questions (with answers) about high school physics.\n\n", | |
| "target_delimiter": " ", | |
| "fewshot_delimiter": "\n\n", | |
| "fewshot_config": { | |
| "sampler": "first_n" | |
| }, | |
| "num_fewshot": 0, | |
| "metric_list": [ | |
| { | |
| "metric": "acc", | |
| "aggregation": "mean", | |
| "higher_is_better": true | |
| } | |
| ], | |
| "output_type": "multiple_choice", | |
| "repeats": 1, | |
| "should_decontaminate": false, | |
| "metadata": { | |
| "version": 1.0, | |
| "pretrained": "/home/dgxuser/workspace/Mango/axolotl/24B-Retrain/merged", | |
| "tokenizer": "/home/dgxuser/workspace/Mango/axolotl/24B-Retrain/merged", | |
| "max_gen_toks": 4096, | |
| "max_model_len": 8192, | |
| "enable_prefix_caching": true, | |
| "enable_chunked_prefill": true, | |
| "tensor_parallel_size": 8 | |
| } | |
| }, | |
| "mmlu_high_school_psychology": { | |
| "task": "mmlu_high_school_psychology", | |
| "task_alias": "high_school_psychology", | |
| "tag": "mmlu_social_sciences_tasks", | |
| "dataset_path": "cais/mmlu", | |
| "dataset_name": "high_school_psychology", | |
| "dataset_kwargs": { | |
| "trust_remote_code": true | |
| }, | |
| "test_split": "test", | |
| "fewshot_split": "dev", | |
| "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", | |
| "doc_to_target": "answer", | |
| "unsafe_code": false, | |
| "doc_to_choice": [ | |
| "A", | |
| "B", | |
| "C", | |
| "D" | |
| ], | |
| "description": "The following are multiple choice questions (with answers) about high school psychology.\n\n", | |
| "target_delimiter": " ", | |
| "fewshot_delimiter": "\n\n", | |
| "fewshot_config": { | |
| "sampler": "first_n" | |
| }, | |
| "num_fewshot": 0, | |
| "metric_list": [ | |
| { | |
| "metric": "acc", | |
| "aggregation": "mean", | |
| "higher_is_better": true | |
| } | |
| ], | |
| "output_type": "multiple_choice", | |
| "repeats": 1, | |
| "should_decontaminate": false, | |
| "metadata": { | |
| "version": 1.0, | |
| "pretrained": "/home/dgxuser/workspace/Mango/axolotl/24B-Retrain/merged", | |
| "tokenizer": "/home/dgxuser/workspace/Mango/axolotl/24B-Retrain/merged", | |
| "max_gen_toks": 4096, | |
| "max_model_len": 8192, | |
| "enable_prefix_caching": true, | |
| "enable_chunked_prefill": true, | |
| "tensor_parallel_size": 8 | |
| } | |
| }, | |
| "mmlu_high_school_statistics": { | |
| "task": "mmlu_high_school_statistics", | |
| "task_alias": "high_school_statistics", | |
| "tag": "mmlu_stem_tasks", | |
| "dataset_path": "cais/mmlu", | |
| "dataset_name": "high_school_statistics", | |
| "dataset_kwargs": { | |
| "trust_remote_code": true | |
| }, | |
| "test_split": "test", | |
| "fewshot_split": "dev", | |
| "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", | |
| "doc_to_target": "answer", | |
| "unsafe_code": false, | |
| "doc_to_choice": [ | |
| "A", | |
| "B", | |
| "C", | |
| "D" | |
| ], | |
| "description": "The following are multiple choice questions (with answers) about high school statistics.\n\n", | |
| "target_delimiter": " ", | |
| "fewshot_delimiter": "\n\n", | |
| "fewshot_config": { | |
| "sampler": "first_n" | |
| }, | |
| "num_fewshot": 0, | |
| "metric_list": [ | |
| { | |
| "metric": "acc", | |
| "aggregation": "mean", | |
| "higher_is_better": true | |
| } | |
| ], | |
| "output_type": "multiple_choice", | |
| "repeats": 1, | |
| "should_decontaminate": false, | |
| "metadata": { | |
| "version": 1.0, | |
| "pretrained": "/home/dgxuser/workspace/Mango/axolotl/24B-Retrain/merged", | |
| "tokenizer": "/home/dgxuser/workspace/Mango/axolotl/24B-Retrain/merged", | |
| "max_gen_toks": 4096, | |
| "max_model_len": 8192, | |
| "enable_prefix_caching": true, | |
| "enable_chunked_prefill": true, | |
| "tensor_parallel_size": 8 | |
| } | |
| }, | |
| "mmlu_high_school_us_history": { | |
| "task": "mmlu_high_school_us_history", | |
| "task_alias": "high_school_us_history", | |
| "tag": "mmlu_humanities_tasks", | |
| "dataset_path": "cais/mmlu", | |
| "dataset_name": "high_school_us_history", | |
| "dataset_kwargs": { | |
| "trust_remote_code": true | |
| }, | |
| "test_split": "test", | |
| "fewshot_split": "dev", | |
| "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", | |
| "doc_to_target": "answer", | |
| "unsafe_code": false, | |
| "doc_to_choice": [ | |
| "A", | |
| "B", | |
| "C", | |
| "D" | |
| ], | |
| "description": "The following are multiple choice questions (with answers) about high school us history.\n\n", | |
| "target_delimiter": " ", | |
| "fewshot_delimiter": "\n\n", | |
| "fewshot_config": { | |
| "sampler": "first_n" | |
| }, | |
| "num_fewshot": 0, | |
| "metric_list": [ | |
| { | |
| "metric": "acc", | |
| "aggregation": "mean", | |
| "higher_is_better": true | |
| } | |
| ], | |
| "output_type": "multiple_choice", | |
| "repeats": 1, | |
| "should_decontaminate": false, | |
| "metadata": { | |
| "version": 1.0, | |
| "pretrained": "/home/dgxuser/workspace/Mango/axolotl/24B-Retrain/merged", | |
| "tokenizer": "/home/dgxuser/workspace/Mango/axolotl/24B-Retrain/merged", | |
| "max_gen_toks": 4096, | |
| "max_model_len": 8192, | |
| "enable_prefix_caching": true, | |
| "enable_chunked_prefill": true, | |
| "tensor_parallel_size": 8 | |
| } | |
| }, | |
| "mmlu_high_school_world_history": { | |
| "task": "mmlu_high_school_world_history", | |
| "task_alias": "high_school_world_history", | |
| "tag": "mmlu_humanities_tasks", | |
| "dataset_path": "cais/mmlu", | |
| "dataset_name": "high_school_world_history", | |
| "dataset_kwargs": { | |
| "trust_remote_code": true | |
| }, | |
| "test_split": "test", | |
| "fewshot_split": "dev", | |
| "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", | |
| "doc_to_target": "answer", | |
| "unsafe_code": false, | |
| "doc_to_choice": [ | |
| "A", | |
| "B", | |
| "C", | |
| "D" | |
| ], | |
| "description": "The following are multiple choice questions (with answers) about high school world history.\n\n", | |
| "target_delimiter": " ", | |
| "fewshot_delimiter": "\n\n", | |
| "fewshot_config": { | |
| "sampler": "first_n" | |
| }, | |
| "num_fewshot": 0, | |
| "metric_list": [ | |
| { | |
| "metric": "acc", | |
| "aggregation": "mean", | |
| "higher_is_better": true | |
| } | |
| ], | |
| "output_type": "multiple_choice", | |
| "repeats": 1, | |
| "should_decontaminate": false, | |
| "metadata": { | |
| "version": 1.0, | |
| "pretrained": "/home/dgxuser/workspace/Mango/axolotl/24B-Retrain/merged", | |
| "tokenizer": "/home/dgxuser/workspace/Mango/axolotl/24B-Retrain/merged", | |
| "max_gen_toks": 4096, | |
| "max_model_len": 8192, | |
| "enable_prefix_caching": true, | |
| "enable_chunked_prefill": true, | |
| "tensor_parallel_size": 8 | |
| } | |
| }, | |
| "mmlu_human_aging": { | |
| "task": "mmlu_human_aging", | |
| "task_alias": "human_aging", | |
| "tag": "mmlu_other_tasks", | |
| "dataset_path": "cais/mmlu", | |
| "dataset_name": "human_aging", | |
| "dataset_kwargs": { | |
| "trust_remote_code": true | |
| }, | |
| "test_split": "test", | |
| "fewshot_split": "dev", | |
| "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", | |
| "doc_to_target": "answer", | |
| "unsafe_code": false, | |
| "doc_to_choice": [ | |
| "A", | |
| "B", | |
| "C", | |
| "D" | |
| ], | |
| "description": "The following are multiple choice questions (with answers) about human aging.\n\n", | |
| "target_delimiter": " ", | |
| "fewshot_delimiter": "\n\n", | |
| "fewshot_config": { | |
| "sampler": "first_n" | |
| }, | |
| "num_fewshot": 0, | |
| "metric_list": [ | |
| { | |
| "metric": "acc", | |
| "aggregation": "mean", | |
| "higher_is_better": true | |
| } | |
| ], | |
| "output_type": "multiple_choice", | |
| "repeats": 1, | |
| "should_decontaminate": false, | |
| "metadata": { | |
| "version": 1.0, | |
| "pretrained": "/home/dgxuser/workspace/Mango/axolotl/24B-Retrain/merged", | |
| "tokenizer": "/home/dgxuser/workspace/Mango/axolotl/24B-Retrain/merged", | |
| "max_gen_toks": 4096, | |
| "max_model_len": 8192, | |
| "enable_prefix_caching": true, | |
| "enable_chunked_prefill": true, | |
| "tensor_parallel_size": 8 | |
| } | |
| }, | |
| "mmlu_human_sexuality": { | |
| "task": "mmlu_human_sexuality", | |
| "task_alias": "human_sexuality", | |
| "tag": "mmlu_social_sciences_tasks", | |
| "dataset_path": "cais/mmlu", | |
| "dataset_name": "human_sexuality", | |
| "dataset_kwargs": { | |
| "trust_remote_code": true | |
| }, | |
| "test_split": "test", | |
| "fewshot_split": "dev", | |
| "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", | |
| "doc_to_target": "answer", | |
| "unsafe_code": false, | |
| "doc_to_choice": [ | |
| "A", | |
| "B", | |
| "C", | |
| "D" | |
| ], | |
| "description": "The following are multiple choice questions (with answers) about human sexuality.\n\n", | |
| "target_delimiter": " ", | |
| "fewshot_delimiter": "\n\n", | |
| "fewshot_config": { | |
| "sampler": "first_n" | |
| }, | |
| "num_fewshot": 0, | |
| "metric_list": [ | |
| { | |
| "metric": "acc", | |
| "aggregation": "mean", | |
| "higher_is_better": true | |
| } | |
| ], | |
| "output_type": "multiple_choice", | |
| "repeats": 1, | |
| "should_decontaminate": false, | |
| "metadata": { | |
| "version": 1.0, | |
| "pretrained": "/home/dgxuser/workspace/Mango/axolotl/24B-Retrain/merged", | |
| "tokenizer": "/home/dgxuser/workspace/Mango/axolotl/24B-Retrain/merged", | |
| "max_gen_toks": 4096, | |
| "max_model_len": 8192, | |
| "enable_prefix_caching": true, | |
| "enable_chunked_prefill": true, | |
| "tensor_parallel_size": 8 | |
| } | |
| }, | |
| "mmlu_international_law": { | |
| "task": "mmlu_international_law", | |
| "task_alias": "international_law", | |
| "tag": "mmlu_humanities_tasks", | |
| "dataset_path": "cais/mmlu", | |
| "dataset_name": "international_law", | |
| "dataset_kwargs": { | |
| "trust_remote_code": true | |
| }, | |
| "test_split": "test", | |
| "fewshot_split": "dev", | |
| "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", | |
| "doc_to_target": "answer", | |
| "unsafe_code": false, | |
| "doc_to_choice": [ | |
| "A", | |
| "B", | |
| "C", | |
| "D" | |
| ], | |
| "description": "The following are multiple choice questions (with answers) about international law.\n\n", | |
| "target_delimiter": " ", | |
| "fewshot_delimiter": "\n\n", | |
| "fewshot_config": { | |
| "sampler": "first_n" | |
| }, | |
| "num_fewshot": 0, | |
| "metric_list": [ | |
| { | |
| "metric": "acc", | |
| "aggregation": "mean", | |
| "higher_is_better": true | |
| } | |
| ], | |
| "output_type": "multiple_choice", | |
| "repeats": 1, | |
| "should_decontaminate": false, | |
| "metadata": { | |
| "version": 1.0, | |
| "pretrained": "/home/dgxuser/workspace/Mango/axolotl/24B-Retrain/merged", | |
| "tokenizer": "/home/dgxuser/workspace/Mango/axolotl/24B-Retrain/merged", | |
| "max_gen_toks": 4096, | |
| "max_model_len": 8192, | |
| "enable_prefix_caching": true, | |
| "enable_chunked_prefill": true, | |
| "tensor_parallel_size": 8 | |
| } | |
| }, | |
| "mmlu_jurisprudence": { | |
| "task": "mmlu_jurisprudence", | |
| "task_alias": "jurisprudence", | |
| "tag": "mmlu_humanities_tasks", | |
| "dataset_path": "cais/mmlu", | |
| "dataset_name": "jurisprudence", | |
| "dataset_kwargs": { | |
| "trust_remote_code": true | |
| }, | |
| "test_split": "test", | |
| "fewshot_split": "dev", | |
| "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", | |
| "doc_to_target": "answer", | |
| "unsafe_code": false, | |
| "doc_to_choice": [ | |
| "A", | |
| "B", | |
| "C", | |
| "D" | |
| ], | |
| "description": "The following are multiple choice questions (with answers) about jurisprudence.\n\n", | |
| "target_delimiter": " ", | |
| "fewshot_delimiter": "\n\n", | |
| "fewshot_config": { | |
| "sampler": "first_n" | |
| }, | |
| "num_fewshot": 0, | |
| "metric_list": [ | |
| { | |
| "metric": "acc", | |
| "aggregation": "mean", | |
| "higher_is_better": true | |
| } | |
| ], | |
| "output_type": "multiple_choice", | |
| "repeats": 1, | |
| "should_decontaminate": false, | |
| "metadata": { | |
| "version": 1.0, | |
| "pretrained": "/home/dgxuser/workspace/Mango/axolotl/24B-Retrain/merged", | |
| "tokenizer": "/home/dgxuser/workspace/Mango/axolotl/24B-Retrain/merged", | |
| "max_gen_toks": 4096, | |
| "max_model_len": 8192, | |
| "enable_prefix_caching": true, | |
| "enable_chunked_prefill": true, | |
| "tensor_parallel_size": 8 | |
| } | |
| }, | |
| "mmlu_logical_fallacies": { | |
| "task": "mmlu_logical_fallacies", | |
| "task_alias": "logical_fallacies", | |
| "tag": "mmlu_humanities_tasks", | |
| "dataset_path": "cais/mmlu", | |
| "dataset_name": "logical_fallacies", | |
| "dataset_kwargs": { | |
| "trust_remote_code": true | |
| }, | |
| "test_split": "test", | |
| "fewshot_split": "dev", | |
| "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", | |
| "doc_to_target": "answer", | |
| "unsafe_code": false, | |
| "doc_to_choice": [ | |
| "A", | |
| "B", | |
| "C", | |
| "D" | |
| ], | |
| "description": "The following are multiple choice questions (with answers) about logical fallacies.\n\n", | |
| "target_delimiter": " ", | |
| "fewshot_delimiter": "\n\n", | |
| "fewshot_config": { | |
| "sampler": "first_n" | |
| }, | |
| "num_fewshot": 0, | |
| "metric_list": [ | |
| { | |
| "metric": "acc", | |
| "aggregation": "mean", | |
| "higher_is_better": true | |
| } | |
| ], | |
| "output_type": "multiple_choice", | |
| "repeats": 1, | |
| "should_decontaminate": false, | |
| "metadata": { | |
| "version": 1.0, | |
| "pretrained": "/home/dgxuser/workspace/Mango/axolotl/24B-Retrain/merged", | |
| "tokenizer": "/home/dgxuser/workspace/Mango/axolotl/24B-Retrain/merged", | |
| "max_gen_toks": 4096, | |
| "max_model_len": 8192, | |
| "enable_prefix_caching": true, | |
| "enable_chunked_prefill": true, | |
| "tensor_parallel_size": 8 | |
| } | |
| }, | |
| "mmlu_machine_learning": { | |
| "task": "mmlu_machine_learning", | |
| "task_alias": "machine_learning", | |
| "tag": "mmlu_stem_tasks", | |
| "dataset_path": "cais/mmlu", | |
| "dataset_name": "machine_learning", | |
| "dataset_kwargs": { | |
| "trust_remote_code": true | |
| }, | |
| "test_split": "test", | |
| "fewshot_split": "dev", | |
| "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", | |
| "doc_to_target": "answer", | |
| "unsafe_code": false, | |
| "doc_to_choice": [ | |
| "A", | |
| "B", | |
| "C", | |
| "D" | |
| ], | |
| "description": "The following are multiple choice questions (with answers) about machine learning.\n\n", | |
| "target_delimiter": " ", | |
| "fewshot_delimiter": "\n\n", | |
| "fewshot_config": { | |
| "sampler": "first_n" | |
| }, | |
| "num_fewshot": 0, | |
| "metric_list": [ | |
| { | |
| "metric": "acc", | |
| "aggregation": "mean", | |
| "higher_is_better": true | |
| } | |
| ], | |
| "output_type": "multiple_choice", | |
| "repeats": 1, | |
| "should_decontaminate": false, | |
| "metadata": { | |
| "version": 1.0, | |
| "pretrained": "/home/dgxuser/workspace/Mango/axolotl/24B-Retrain/merged", | |
| "tokenizer": "/home/dgxuser/workspace/Mango/axolotl/24B-Retrain/merged", | |
| "max_gen_toks": 4096, | |
| "max_model_len": 8192, | |
| "enable_prefix_caching": true, | |
| "enable_chunked_prefill": true, | |
| "tensor_parallel_size": 8 | |
| } | |
| }, | |
| "mmlu_management": { | |
| "task": "mmlu_management", | |
| "task_alias": "management", | |
| "tag": "mmlu_other_tasks", | |
| "dataset_path": "cais/mmlu", | |
| "dataset_name": "management", | |
| "dataset_kwargs": { | |
| "trust_remote_code": true | |
| }, | |
| "test_split": "test", | |
| "fewshot_split": "dev", | |
| "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", | |
| "doc_to_target": "answer", | |
| "unsafe_code": false, | |
| "doc_to_choice": [ | |
| "A", | |
| "B", | |
| "C", | |
| "D" | |
| ], | |
| "description": "The following are multiple choice questions (with answers) about management.\n\n", | |
| "target_delimiter": " ", | |
| "fewshot_delimiter": "\n\n", | |
| "fewshot_config": { | |
| "sampler": "first_n" | |
| }, | |
| "num_fewshot": 0, | |
| "metric_list": [ | |
| { | |
| "metric": "acc", | |
| "aggregation": "mean", | |
| "higher_is_better": true | |
| } | |
| ], | |
| "output_type": "multiple_choice", | |
| "repeats": 1, | |
| "should_decontaminate": false, | |
| "metadata": { | |
| "version": 1.0, | |
| "pretrained": "/home/dgxuser/workspace/Mango/axolotl/24B-Retrain/merged", | |
| "tokenizer": "/home/dgxuser/workspace/Mango/axolotl/24B-Retrain/merged", | |
| "max_gen_toks": 4096, | |
| "max_model_len": 8192, | |
| "enable_prefix_caching": true, | |
| "enable_chunked_prefill": true, | |
| "tensor_parallel_size": 8 | |
| } | |
| }, | |
| "mmlu_marketing": { | |
| "task": "mmlu_marketing", | |
| "task_alias": "marketing", | |
| "tag": "mmlu_other_tasks", | |
| "dataset_path": "cais/mmlu", | |
| "dataset_name": "marketing", | |
| "dataset_kwargs": { | |
| "trust_remote_code": true | |
| }, | |
| "test_split": "test", | |
| "fewshot_split": "dev", | |
| "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", | |
| "doc_to_target": "answer", | |
| "unsafe_code": false, | |
| "doc_to_choice": [ | |
| "A", | |
| "B", | |
| "C", | |
| "D" | |
| ], | |
| "description": "The following are multiple choice questions (with answers) about marketing.\n\n", | |
| "target_delimiter": " ", | |
| "fewshot_delimiter": "\n\n", | |
| "fewshot_config": { | |
| "sampler": "first_n" | |
| }, | |
| "num_fewshot": 0, | |
| "metric_list": [ | |
| { | |
| "metric": "acc", | |
| "aggregation": "mean", | |
| "higher_is_better": true | |
| } | |
| ], | |
| "output_type": "multiple_choice", | |
| "repeats": 1, | |
| "should_decontaminate": false, | |
| "metadata": { | |
| "version": 1.0, | |
| "pretrained": "/home/dgxuser/workspace/Mango/axolotl/24B-Retrain/merged", | |
| "tokenizer": "/home/dgxuser/workspace/Mango/axolotl/24B-Retrain/merged", | |
| "max_gen_toks": 4096, | |
| "max_model_len": 8192, | |
| "enable_prefix_caching": true, | |
| "enable_chunked_prefill": true, | |
| "tensor_parallel_size": 8 | |
| } | |
| }, | |
| "mmlu_medical_genetics": { | |
| "task": "mmlu_medical_genetics", | |
| "task_alias": "medical_genetics", | |
| "tag": "mmlu_other_tasks", | |
| "dataset_path": "cais/mmlu", | |
| "dataset_name": "medical_genetics", | |
| "dataset_kwargs": { | |
| "trust_remote_code": true | |
| }, | |
| "test_split": "test", | |
| "fewshot_split": "dev", | |
| "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", | |
| "doc_to_target": "answer", | |
| "unsafe_code": false, | |
| "doc_to_choice": [ | |
| "A", | |
| "B", | |
| "C", | |
| "D" | |
| ], | |
| "description": "The following are multiple choice questions (with answers) about medical genetics.\n\n", | |
| "target_delimiter": " ", | |
| "fewshot_delimiter": "\n\n", | |
| "fewshot_config": { | |
| "sampler": "first_n" | |
| }, | |
| "num_fewshot": 0, | |
| "metric_list": [ | |
| { | |
| "metric": "acc", | |
| "aggregation": "mean", | |
| "higher_is_better": true | |
| } | |
| ], | |
| "output_type": "multiple_choice", | |
| "repeats": 1, | |
| "should_decontaminate": false, | |
| "metadata": { | |
| "version": 1.0, | |
| "pretrained": "/home/dgxuser/workspace/Mango/axolotl/24B-Retrain/merged", | |
| "tokenizer": "/home/dgxuser/workspace/Mango/axolotl/24B-Retrain/merged", | |
| "max_gen_toks": 4096, | |
| "max_model_len": 8192, | |
| "enable_prefix_caching": true, | |
| "enable_chunked_prefill": true, | |
| "tensor_parallel_size": 8 | |
| } | |
| }, | |
| "mmlu_miscellaneous": { | |
| "task": "mmlu_miscellaneous", | |
| "task_alias": "miscellaneous", | |
| "tag": "mmlu_other_tasks", | |
| "dataset_path": "cais/mmlu", | |
| "dataset_name": "miscellaneous", | |
| "dataset_kwargs": { | |
| "trust_remote_code": true | |
| }, | |
| "test_split": "test", | |
| "fewshot_split": "dev", | |
| "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", | |
| "doc_to_target": "answer", | |
| "unsafe_code": false, | |
| "doc_to_choice": [ | |
| "A", | |
| "B", | |
| "C", | |
| "D" | |
| ], | |
| "description": "The following are multiple choice questions (with answers) about miscellaneous.\n\n", | |
| "target_delimiter": " ", | |
| "fewshot_delimiter": "\n\n", | |
| "fewshot_config": { | |
| "sampler": "first_n" | |
| }, | |
| "num_fewshot": 0, | |
| "metric_list": [ | |
| { | |
| "metric": "acc", | |
| "aggregation": "mean", | |
| "higher_is_better": true | |
| } | |
| ], | |
| "output_type": "multiple_choice", | |
| "repeats": 1, | |
| "should_decontaminate": false, | |
| "metadata": { | |
| "version": 1.0, | |
| "pretrained": "/home/dgxuser/workspace/Mango/axolotl/24B-Retrain/merged", | |
| "tokenizer": "/home/dgxuser/workspace/Mango/axolotl/24B-Retrain/merged", | |
| "max_gen_toks": 4096, | |
| "max_model_len": 8192, | |
| "enable_prefix_caching": true, | |
| "enable_chunked_prefill": true, | |
| "tensor_parallel_size": 8 | |
| } | |
| }, | |
| "mmlu_moral_disputes": { | |
| "task": "mmlu_moral_disputes", | |
| "task_alias": "moral_disputes", | |
| "tag": "mmlu_humanities_tasks", | |
| "dataset_path": "cais/mmlu", | |
| "dataset_name": "moral_disputes", | |
| "dataset_kwargs": { | |
| "trust_remote_code": true | |
| }, | |
| "test_split": "test", | |
| "fewshot_split": "dev", | |
| "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", | |
| "doc_to_target": "answer", | |
| "unsafe_code": false, | |
| "doc_to_choice": [ | |
| "A", | |
| "B", | |
| "C", | |
| "D" | |
| ], | |
| "description": "The following are multiple choice questions (with answers) about moral disputes.\n\n", | |
| "target_delimiter": " ", | |
| "fewshot_delimiter": "\n\n", | |
| "fewshot_config": { | |
| "sampler": "first_n" | |
| }, | |
| "num_fewshot": 0, | |
| "metric_list": [ | |
| { | |
| "metric": "acc", | |
| "aggregation": "mean", | |
| "higher_is_better": true | |
| } | |
| ], | |
| "output_type": "multiple_choice", | |
| "repeats": 1, | |
| "should_decontaminate": false, | |
| "metadata": { | |
| "version": 1.0, | |
| "pretrained": "/home/dgxuser/workspace/Mango/axolotl/24B-Retrain/merged", | |
| "tokenizer": "/home/dgxuser/workspace/Mango/axolotl/24B-Retrain/merged", | |
| "max_gen_toks": 4096, | |
| "max_model_len": 8192, | |
| "enable_prefix_caching": true, | |
| "enable_chunked_prefill": true, | |
| "tensor_parallel_size": 8 | |
| } | |
| }, | |
| "mmlu_moral_scenarios": { | |
| "task": "mmlu_moral_scenarios", | |
| "task_alias": "moral_scenarios", | |
| "tag": "mmlu_humanities_tasks", | |
| "dataset_path": "cais/mmlu", | |
| "dataset_name": "moral_scenarios", | |
| "dataset_kwargs": { | |
| "trust_remote_code": true | |
| }, | |
| "test_split": "test", | |
| "fewshot_split": "dev", | |
| "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", | |
| "doc_to_target": "answer", | |
| "unsafe_code": false, | |
| "doc_to_choice": [ | |
| "A", | |
| "B", | |
| "C", | |
| "D" | |
| ], | |
| "description": "The following are multiple choice questions (with answers) about moral scenarios.\n\n", | |
| "target_delimiter": " ", | |
| "fewshot_delimiter": "\n\n", | |
| "fewshot_config": { | |
| "sampler": "first_n" | |
| }, | |
| "num_fewshot": 0, | |
| "metric_list": [ | |
| { | |
| "metric": "acc", | |
| "aggregation": "mean", | |
| "higher_is_better": true | |
| } | |
| ], | |
| "output_type": "multiple_choice", | |
| "repeats": 1, | |
| "should_decontaminate": false, | |
| "metadata": { | |
| "version": 1.0, | |
| "pretrained": "/home/dgxuser/workspace/Mango/axolotl/24B-Retrain/merged", | |
| "tokenizer": "/home/dgxuser/workspace/Mango/axolotl/24B-Retrain/merged", | |
| "max_gen_toks": 4096, | |
| "max_model_len": 8192, | |
| "enable_prefix_caching": true, | |
| "enable_chunked_prefill": true, | |
| "tensor_parallel_size": 8 | |
| } | |
| }, | |
| "mmlu_nutrition": { | |
| "task": "mmlu_nutrition", | |
| "task_alias": "nutrition", | |
| "tag": "mmlu_other_tasks", | |
| "dataset_path": "cais/mmlu", | |
| "dataset_name": "nutrition", | |
| "dataset_kwargs": { | |
| "trust_remote_code": true | |
| }, | |
| "test_split": "test", | |
| "fewshot_split": "dev", | |
| "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", | |
| "doc_to_target": "answer", | |
| "unsafe_code": false, | |
| "doc_to_choice": [ | |
| "A", | |
| "B", | |
| "C", | |
| "D" | |
| ], | |
| "description": "The following are multiple choice questions (with answers) about nutrition.\n\n", | |
| "target_delimiter": " ", | |
| "fewshot_delimiter": "\n\n", | |
| "fewshot_config": { | |
| "sampler": "first_n" | |
| }, | |
| "num_fewshot": 0, | |
| "metric_list": [ | |
| { | |
| "metric": "acc", | |
| "aggregation": "mean", | |
| "higher_is_better": true | |
| } | |
| ], | |
| "output_type": "multiple_choice", | |
| "repeats": 1, | |
| "should_decontaminate": false, | |
| "metadata": { | |
| "version": 1.0, | |
| "pretrained": "/home/dgxuser/workspace/Mango/axolotl/24B-Retrain/merged", | |
| "tokenizer": "/home/dgxuser/workspace/Mango/axolotl/24B-Retrain/merged", | |
| "max_gen_toks": 4096, | |
| "max_model_len": 8192, | |
| "enable_prefix_caching": true, | |
| "enable_chunked_prefill": true, | |
| "tensor_parallel_size": 8 | |
| } | |
| }, | |
| "mmlu_philosophy": { | |
| "task": "mmlu_philosophy", | |
| "task_alias": "philosophy", | |
| "tag": "mmlu_humanities_tasks", | |
| "dataset_path": "cais/mmlu", | |
| "dataset_name": "philosophy", | |
| "dataset_kwargs": { | |
| "trust_remote_code": true | |
| }, | |
| "test_split": "test", | |
| "fewshot_split": "dev", | |
| "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", | |
| "doc_to_target": "answer", | |
| "unsafe_code": false, | |
| "doc_to_choice": [ | |
| "A", | |
| "B", | |
| "C", | |
| "D" | |
| ], | |
| "description": "The following are multiple choice questions (with answers) about philosophy.\n\n", | |
| "target_delimiter": " ", | |
| "fewshot_delimiter": "\n\n", | |
| "fewshot_config": { | |
| "sampler": "first_n" | |
| }, | |
| "num_fewshot": 0, | |
| "metric_list": [ | |
| { | |
| "metric": "acc", | |
| "aggregation": "mean", | |
| "higher_is_better": true | |
| } | |
| ], | |
| "output_type": "multiple_choice", | |
| "repeats": 1, | |
| "should_decontaminate": false, | |
| "metadata": { | |
| "version": 1.0, | |
| "pretrained": "/home/dgxuser/workspace/Mango/axolotl/24B-Retrain/merged", | |
| "tokenizer": "/home/dgxuser/workspace/Mango/axolotl/24B-Retrain/merged", | |
| "max_gen_toks": 4096, | |
| "max_model_len": 8192, | |
| "enable_prefix_caching": true, | |
| "enable_chunked_prefill": true, | |
| "tensor_parallel_size": 8 | |
| } | |
| }, | |
| "mmlu_prehistory": { | |
| "task": "mmlu_prehistory", | |
| "task_alias": "prehistory", | |
| "tag": "mmlu_humanities_tasks", | |
| "dataset_path": "cais/mmlu", | |
| "dataset_name": "prehistory", | |
| "dataset_kwargs": { | |
| "trust_remote_code": true | |
| }, | |
| "test_split": "test", | |
| "fewshot_split": "dev", | |
| "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", | |
| "doc_to_target": "answer", | |
| "unsafe_code": false, | |
| "doc_to_choice": [ | |
| "A", | |
| "B", | |
| "C", | |
| "D" | |
| ], | |
| "description": "The following are multiple choice questions (with answers) about prehistory.\n\n", | |
| "target_delimiter": " ", | |
| "fewshot_delimiter": "\n\n", | |
| "fewshot_config": { | |
| "sampler": "first_n" | |
| }, | |
| "num_fewshot": 0, | |
| "metric_list": [ | |
| { | |
| "metric": "acc", | |
| "aggregation": "mean", | |
| "higher_is_better": true | |
| } | |
| ], | |
| "output_type": "multiple_choice", | |
| "repeats": 1, | |
| "should_decontaminate": false, | |
| "metadata": { | |
| "version": 1.0, | |
| "pretrained": "/home/dgxuser/workspace/Mango/axolotl/24B-Retrain/merged", | |
| "tokenizer": "/home/dgxuser/workspace/Mango/axolotl/24B-Retrain/merged", | |
| "max_gen_toks": 4096, | |
| "max_model_len": 8192, | |
| "enable_prefix_caching": true, | |
| "enable_chunked_prefill": true, | |
| "tensor_parallel_size": 8 | |
| } | |
| }, | |
| "mmlu_professional_accounting": { | |
| "task": "mmlu_professional_accounting", | |
| "task_alias": "professional_accounting", | |
| "tag": "mmlu_other_tasks", | |
| "dataset_path": "cais/mmlu", | |
| "dataset_name": "professional_accounting", | |
| "dataset_kwargs": { | |
| "trust_remote_code": true | |
| }, | |
| "test_split": "test", | |
| "fewshot_split": "dev", | |
| "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", | |
| "doc_to_target": "answer", | |
| "unsafe_code": false, | |
| "doc_to_choice": [ | |
| "A", | |
| "B", | |
| "C", | |
| "D" | |
| ], | |
| "description": "The following are multiple choice questions (with answers) about professional accounting.\n\n", | |
| "target_delimiter": " ", | |
| "fewshot_delimiter": "\n\n", | |
| "fewshot_config": { | |
| "sampler": "first_n" | |
| }, | |
| "num_fewshot": 0, | |
| "metric_list": [ | |
| { | |
| "metric": "acc", | |
| "aggregation": "mean", | |
| "higher_is_better": true | |
| } | |
| ], | |
| "output_type": "multiple_choice", | |
| "repeats": 1, | |
| "should_decontaminate": false, | |
| "metadata": { | |
| "version": 1.0, | |
| "pretrained": "/home/dgxuser/workspace/Mango/axolotl/24B-Retrain/merged", | |
| "tokenizer": "/home/dgxuser/workspace/Mango/axolotl/24B-Retrain/merged", | |
| "max_gen_toks": 4096, | |
| "max_model_len": 8192, | |
| "enable_prefix_caching": true, | |
| "enable_chunked_prefill": true, | |
| "tensor_parallel_size": 8 | |
| } | |
| }, | |
| "mmlu_professional_law": { | |
| "task": "mmlu_professional_law", | |
| "task_alias": "professional_law", | |
| "tag": "mmlu_humanities_tasks", | |
| "dataset_path": "cais/mmlu", | |
| "dataset_name": "professional_law", | |
| "dataset_kwargs": { | |
| "trust_remote_code": true | |
| }, | |
| "test_split": "test", | |
| "fewshot_split": "dev", | |
| "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", | |
| "doc_to_target": "answer", | |
| "unsafe_code": false, | |
| "doc_to_choice": [ | |
| "A", | |
| "B", | |
| "C", | |
| "D" | |
| ], | |
| "description": "The following are multiple choice questions (with answers) about professional law.\n\n", | |
| "target_delimiter": " ", | |
| "fewshot_delimiter": "\n\n", | |
| "fewshot_config": { | |
| "sampler": "first_n" | |
| }, | |
| "num_fewshot": 0, | |
| "metric_list": [ | |
| { | |
| "metric": "acc", | |
| "aggregation": "mean", | |
| "higher_is_better": true | |
| } | |
| ], | |
| "output_type": "multiple_choice", | |
| "repeats": 1, | |
| "should_decontaminate": false, | |
| "metadata": { | |
| "version": 1.0, | |
| "pretrained": "/home/dgxuser/workspace/Mango/axolotl/24B-Retrain/merged", | |
| "tokenizer": "/home/dgxuser/workspace/Mango/axolotl/24B-Retrain/merged", | |
| "max_gen_toks": 4096, | |
| "max_model_len": 8192, | |
| "enable_prefix_caching": true, | |
| "enable_chunked_prefill": true, | |
| "tensor_parallel_size": 8 | |
| } | |
| }, | |
| "mmlu_professional_medicine": { | |
| "task": "mmlu_professional_medicine", | |
| "task_alias": "professional_medicine", | |
| "tag": "mmlu_other_tasks", | |
| "dataset_path": "cais/mmlu", | |
| "dataset_name": "professional_medicine", | |
| "dataset_kwargs": { | |
| "trust_remote_code": true | |
| }, | |
| "test_split": "test", | |
| "fewshot_split": "dev", | |
| "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", | |
| "doc_to_target": "answer", | |
| "unsafe_code": false, | |
| "doc_to_choice": [ | |
| "A", | |
| "B", | |
| "C", | |
| "D" | |
| ], | |
| "description": "The following are multiple choice questions (with answers) about professional medicine.\n\n", | |
| "target_delimiter": " ", | |
| "fewshot_delimiter": "\n\n", | |
| "fewshot_config": { | |
| "sampler": "first_n" | |
| }, | |
| "num_fewshot": 0, | |
| "metric_list": [ | |
| { | |
| "metric": "acc", | |
| "aggregation": "mean", | |
| "higher_is_better": true | |
| } | |
| ], | |
| "output_type": "multiple_choice", | |
| "repeats": 1, | |
| "should_decontaminate": false, | |
| "metadata": { | |
| "version": 1.0, | |
| "pretrained": "/home/dgxuser/workspace/Mango/axolotl/24B-Retrain/merged", | |
| "tokenizer": "/home/dgxuser/workspace/Mango/axolotl/24B-Retrain/merged", | |
| "max_gen_toks": 4096, | |
| "max_model_len": 8192, | |
| "enable_prefix_caching": true, | |
| "enable_chunked_prefill": true, | |
| "tensor_parallel_size": 8 | |
| } | |
| }, | |
| "mmlu_professional_psychology": { | |
| "task": "mmlu_professional_psychology", | |
| "task_alias": "professional_psychology", | |
| "tag": "mmlu_social_sciences_tasks", | |
| "dataset_path": "cais/mmlu", | |
| "dataset_name": "professional_psychology", | |
| "dataset_kwargs": { | |
| "trust_remote_code": true | |
| }, | |
| "test_split": "test", | |
| "fewshot_split": "dev", | |
| "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", | |
| "doc_to_target": "answer", | |
| "unsafe_code": false, | |
| "doc_to_choice": [ | |
| "A", | |
| "B", | |
| "C", | |
| "D" | |
| ], | |
| "description": "The following are multiple choice questions (with answers) about professional psychology.\n\n", | |
| "target_delimiter": " ", | |
| "fewshot_delimiter": "\n\n", | |
| "fewshot_config": { | |
| "sampler": "first_n" | |
| }, | |
| "num_fewshot": 0, | |
| "metric_list": [ | |
| { | |
| "metric": "acc", | |
| "aggregation": "mean", | |
| "higher_is_better": true | |
| } | |
| ], | |
| "output_type": "multiple_choice", | |
| "repeats": 1, | |
| "should_decontaminate": false, | |
| "metadata": { | |
| "version": 1.0, | |
| "pretrained": "/home/dgxuser/workspace/Mango/axolotl/24B-Retrain/merged", | |
| "tokenizer": "/home/dgxuser/workspace/Mango/axolotl/24B-Retrain/merged", | |
| "max_gen_toks": 4096, | |
| "max_model_len": 8192, | |
| "enable_prefix_caching": true, | |
| "enable_chunked_prefill": true, | |
| "tensor_parallel_size": 8 | |
| } | |
| }, | |
| "mmlu_public_relations": { | |
| "task": "mmlu_public_relations", | |
| "task_alias": "public_relations", | |
| "tag": "mmlu_social_sciences_tasks", | |
| "dataset_path": "cais/mmlu", | |
| "dataset_name": "public_relations", | |
| "dataset_kwargs": { | |
| "trust_remote_code": true | |
| }, | |
| "test_split": "test", | |
| "fewshot_split": "dev", | |
| "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", | |
| "doc_to_target": "answer", | |
| "unsafe_code": false, | |
| "doc_to_choice": [ | |
| "A", | |
| "B", | |
| "C", | |
| "D" | |
| ], | |
| "description": "The following are multiple choice questions (with answers) about public relations.\n\n", | |
| "target_delimiter": " ", | |
| "fewshot_delimiter": "\n\n", | |
| "fewshot_config": { | |
| "sampler": "first_n" | |
| }, | |
| "num_fewshot": 0, | |
| "metric_list": [ | |
| { | |
| "metric": "acc", | |
| "aggregation": "mean", | |
| "higher_is_better": true | |
| } | |
| ], | |
| "output_type": "multiple_choice", | |
| "repeats": 1, | |
| "should_decontaminate": false, | |
| "metadata": { | |
| "version": 1.0, | |
| "pretrained": "/home/dgxuser/workspace/Mango/axolotl/24B-Retrain/merged", | |
| "tokenizer": "/home/dgxuser/workspace/Mango/axolotl/24B-Retrain/merged", | |
| "max_gen_toks": 4096, | |
| "max_model_len": 8192, | |
| "enable_prefix_caching": true, | |
| "enable_chunked_prefill": true, | |
| "tensor_parallel_size": 8 | |
| } | |
| }, | |
| "mmlu_security_studies": { | |
| "task": "mmlu_security_studies", | |
| "task_alias": "security_studies", | |
| "tag": "mmlu_social_sciences_tasks", | |
| "dataset_path": "cais/mmlu", | |
| "dataset_name": "security_studies", | |
| "dataset_kwargs": { | |
| "trust_remote_code": true | |
| }, | |
| "test_split": "test", | |
| "fewshot_split": "dev", | |
| "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", | |
| "doc_to_target": "answer", | |
| "unsafe_code": false, | |
| "doc_to_choice": [ | |
| "A", | |
| "B", | |
| "C", | |
| "D" | |
| ], | |
| "description": "The following are multiple choice questions (with answers) about security studies.\n\n", | |
| "target_delimiter": " ", | |
| "fewshot_delimiter": "\n\n", | |
| "fewshot_config": { | |
| "sampler": "first_n" | |
| }, | |
| "num_fewshot": 0, | |
| "metric_list": [ | |
| { | |
| "metric": "acc", | |
| "aggregation": "mean", | |
| "higher_is_better": true | |
| } | |
| ], | |
| "output_type": "multiple_choice", | |
| "repeats": 1, | |
| "should_decontaminate": false, | |
| "metadata": { | |
| "version": 1.0, | |
| "pretrained": "/home/dgxuser/workspace/Mango/axolotl/24B-Retrain/merged", | |
| "tokenizer": "/home/dgxuser/workspace/Mango/axolotl/24B-Retrain/merged", | |
| "max_gen_toks": 4096, | |
| "max_model_len": 8192, | |
| "enable_prefix_caching": true, | |
| "enable_chunked_prefill": true, | |
| "tensor_parallel_size": 8 | |
| } | |
| }, | |
| "mmlu_sociology": { | |
| "task": "mmlu_sociology", | |
| "task_alias": "sociology", | |
| "tag": "mmlu_social_sciences_tasks", | |
| "dataset_path": "cais/mmlu", | |
| "dataset_name": "sociology", | |
| "dataset_kwargs": { | |
| "trust_remote_code": true | |
| }, | |
| "test_split": "test", | |
| "fewshot_split": "dev", | |
| "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", | |
| "doc_to_target": "answer", | |
| "unsafe_code": false, | |
| "doc_to_choice": [ | |
| "A", | |
| "B", | |
| "C", | |
| "D" | |
| ], | |
| "description": "The following are multiple choice questions (with answers) about sociology.\n\n", | |
| "target_delimiter": " ", | |
| "fewshot_delimiter": "\n\n", | |
| "fewshot_config": { | |
| "sampler": "first_n" | |
| }, | |
| "num_fewshot": 0, | |
| "metric_list": [ | |
| { | |
| "metric": "acc", | |
| "aggregation": "mean", | |
| "higher_is_better": true | |
| } | |
| ], | |
| "output_type": "multiple_choice", | |
| "repeats": 1, | |
| "should_decontaminate": false, | |
| "metadata": { | |
| "version": 1.0, | |
| "pretrained": "/home/dgxuser/workspace/Mango/axolotl/24B-Retrain/merged", | |
| "tokenizer": "/home/dgxuser/workspace/Mango/axolotl/24B-Retrain/merged", | |
| "max_gen_toks": 4096, | |
| "max_model_len": 8192, | |
| "enable_prefix_caching": true, | |
| "enable_chunked_prefill": true, | |
| "tensor_parallel_size": 8 | |
| } | |
| }, | |
| "mmlu_us_foreign_policy": { | |
| "task": "mmlu_us_foreign_policy", | |
| "task_alias": "us_foreign_policy", | |
| "tag": "mmlu_social_sciences_tasks", | |
| "dataset_path": "cais/mmlu", | |
| "dataset_name": "us_foreign_policy", | |
| "dataset_kwargs": { | |
| "trust_remote_code": true | |
| }, | |
| "test_split": "test", | |
| "fewshot_split": "dev", | |
| "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", | |
| "doc_to_target": "answer", | |
| "unsafe_code": false, | |
| "doc_to_choice": [ | |
| "A", | |
| "B", | |
| "C", | |
| "D" | |
| ], | |
| "description": "The following are multiple choice questions (with answers) about us foreign policy.\n\n", | |
| "target_delimiter": " ", | |
| "fewshot_delimiter": "\n\n", | |
| "fewshot_config": { | |
| "sampler": "first_n" | |
| }, | |
| "num_fewshot": 0, | |
| "metric_list": [ | |
| { | |
| "metric": "acc", | |
| "aggregation": "mean", | |
| "higher_is_better": true | |
| } | |
| ], | |
| "output_type": "multiple_choice", | |
| "repeats": 1, | |
| "should_decontaminate": false, | |
| "metadata": { | |
| "version": 1.0, | |
| "pretrained": "/home/dgxuser/workspace/Mango/axolotl/24B-Retrain/merged", | |
| "tokenizer": "/home/dgxuser/workspace/Mango/axolotl/24B-Retrain/merged", | |
| "max_gen_toks": 4096, | |
| "max_model_len": 8192, | |
| "enable_prefix_caching": true, | |
| "enable_chunked_prefill": true, | |
| "tensor_parallel_size": 8 | |
| } | |
| }, | |
| "mmlu_virology": { | |
| "task": "mmlu_virology", | |
| "task_alias": "virology", | |
| "tag": "mmlu_other_tasks", | |
| "dataset_path": "cais/mmlu", | |
| "dataset_name": "virology", | |
| "dataset_kwargs": { | |
| "trust_remote_code": true | |
| }, | |
| "test_split": "test", | |
| "fewshot_split": "dev", | |
| "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", | |
| "doc_to_target": "answer", | |
| "unsafe_code": false, | |
| "doc_to_choice": [ | |
| "A", | |
| "B", | |
| "C", | |
| "D" | |
| ], | |
| "description": "The following are multiple choice questions (with answers) about virology.\n\n", | |
| "target_delimiter": " ", | |
| "fewshot_delimiter": "\n\n", | |
| "fewshot_config": { | |
| "sampler": "first_n" | |
| }, | |
| "num_fewshot": 0, | |
| "metric_list": [ | |
| { | |
| "metric": "acc", | |
| "aggregation": "mean", | |
| "higher_is_better": true | |
| } | |
| ], | |
| "output_type": "multiple_choice", | |
| "repeats": 1, | |
| "should_decontaminate": false, | |
| "metadata": { | |
| "version": 1.0, | |
| "pretrained": "/home/dgxuser/workspace/Mango/axolotl/24B-Retrain/merged", | |
| "tokenizer": "/home/dgxuser/workspace/Mango/axolotl/24B-Retrain/merged", | |
| "max_gen_toks": 4096, | |
| "max_model_len": 8192, | |
| "enable_prefix_caching": true, | |
| "enable_chunked_prefill": true, | |
| "tensor_parallel_size": 8 | |
| } | |
| }, | |
| "mmlu_world_religions": { | |
| "task": "mmlu_world_religions", | |
| "task_alias": "world_religions", | |
| "tag": "mmlu_humanities_tasks", | |
| "dataset_path": "cais/mmlu", | |
| "dataset_name": "world_religions", | |
| "dataset_kwargs": { | |
| "trust_remote_code": true | |
| }, | |
| "test_split": "test", | |
| "fewshot_split": "dev", | |
| "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", | |
| "doc_to_target": "answer", | |
| "unsafe_code": false, | |
| "doc_to_choice": [ | |
| "A", | |
| "B", | |
| "C", | |
| "D" | |
| ], | |
| "description": "The following are multiple choice questions (with answers) about world religions.\n\n", | |
| "target_delimiter": " ", | |
| "fewshot_delimiter": "\n\n", | |
| "fewshot_config": { | |
| "sampler": "first_n" | |
| }, | |
| "num_fewshot": 0, | |
| "metric_list": [ | |
| { | |
| "metric": "acc", | |
| "aggregation": "mean", | |
| "higher_is_better": true | |
| } | |
| ], | |
| "output_type": "multiple_choice", | |
| "repeats": 1, | |
| "should_decontaminate": false, | |
| "metadata": { | |
| "version": 1.0, | |
| "pretrained": "/home/dgxuser/workspace/Mango/axolotl/24B-Retrain/merged", | |
| "tokenizer": "/home/dgxuser/workspace/Mango/axolotl/24B-Retrain/merged", | |
| "max_gen_toks": 4096, | |
| "max_model_len": 8192, | |
| "enable_prefix_caching": true, | |
| "enable_chunked_prefill": true, | |
| "tensor_parallel_size": 8 | |
| } | |
| } | |
| }, | |
| "versions": { | |
| "ifeval": 4.0, | |
| "mmlu": 2, | |
| "mmlu_abstract_algebra": 1.0, | |
| "mmlu_anatomy": 1.0, | |
| "mmlu_astronomy": 1.0, | |
| "mmlu_business_ethics": 1.0, | |
| "mmlu_clinical_knowledge": 1.0, | |
| "mmlu_college_biology": 1.0, | |
| "mmlu_college_chemistry": 1.0, | |
| "mmlu_college_computer_science": 1.0, | |
| "mmlu_college_mathematics": 1.0, | |
| "mmlu_college_medicine": 1.0, | |
| "mmlu_college_physics": 1.0, | |
| "mmlu_computer_security": 1.0, | |
| "mmlu_conceptual_physics": 1.0, | |
| "mmlu_econometrics": 1.0, | |
| "mmlu_electrical_engineering": 1.0, | |
| "mmlu_elementary_mathematics": 1.0, | |
| "mmlu_formal_logic": 1.0, | |
| "mmlu_global_facts": 1.0, | |
| "mmlu_high_school_biology": 1.0, | |
| "mmlu_high_school_chemistry": 1.0, | |
| "mmlu_high_school_computer_science": 1.0, | |
| "mmlu_high_school_european_history": 1.0, | |
| "mmlu_high_school_geography": 1.0, | |
| "mmlu_high_school_government_and_politics": 1.0, | |
| "mmlu_high_school_macroeconomics": 1.0, | |
| "mmlu_high_school_mathematics": 1.0, | |
| "mmlu_high_school_microeconomics": 1.0, | |
| "mmlu_high_school_physics": 1.0, | |
| "mmlu_high_school_psychology": 1.0, | |
| "mmlu_high_school_statistics": 1.0, | |
| "mmlu_high_school_us_history": 1.0, | |
| "mmlu_high_school_world_history": 1.0, | |
| "mmlu_human_aging": 1.0, | |
| "mmlu_human_sexuality": 1.0, | |
| "mmlu_humanities": 2, | |
| "mmlu_international_law": 1.0, | |
| "mmlu_jurisprudence": 1.0, | |
| "mmlu_logical_fallacies": 1.0, | |
| "mmlu_machine_learning": 1.0, | |
| "mmlu_management": 1.0, | |
| "mmlu_marketing": 1.0, | |
| "mmlu_medical_genetics": 1.0, | |
| "mmlu_miscellaneous": 1.0, | |
| "mmlu_moral_disputes": 1.0, | |
| "mmlu_moral_scenarios": 1.0, | |
| "mmlu_nutrition": 1.0, | |
| "mmlu_other": 2, | |
| "mmlu_philosophy": 1.0, | |
| "mmlu_prehistory": 1.0, | |
| "mmlu_professional_accounting": 1.0, | |
| "mmlu_professional_law": 1.0, | |
| "mmlu_professional_medicine": 1.0, | |
| "mmlu_professional_psychology": 1.0, | |
| "mmlu_public_relations": 1.0, | |
| "mmlu_security_studies": 1.0, | |
| "mmlu_social_sciences": 2, | |
| "mmlu_sociology": 1.0, | |
| "mmlu_stem": 2, | |
| "mmlu_us_foreign_policy": 1.0, | |
| "mmlu_virology": 1.0, | |
| "mmlu_world_religions": 1.0 | |
| }, | |
| "n-shot": { | |
| "ifeval": 0, | |
| "mmlu_abstract_algebra": 0, | |
| "mmlu_anatomy": 0, | |
| "mmlu_astronomy": 0, | |
| "mmlu_business_ethics": 0, | |
| "mmlu_clinical_knowledge": 0, | |
| "mmlu_college_biology": 0, | |
| "mmlu_college_chemistry": 0, | |
| "mmlu_college_computer_science": 0, | |
| "mmlu_college_mathematics": 0, | |
| "mmlu_college_medicine": 0, | |
| "mmlu_college_physics": 0, | |
| "mmlu_computer_security": 0, | |
| "mmlu_conceptual_physics": 0, | |
| "mmlu_econometrics": 0, | |
| "mmlu_electrical_engineering": 0, | |
| "mmlu_elementary_mathematics": 0, | |
| "mmlu_formal_logic": 0, | |
| "mmlu_global_facts": 0, | |
| "mmlu_high_school_biology": 0, | |
| "mmlu_high_school_chemistry": 0, | |
| "mmlu_high_school_computer_science": 0, | |
| "mmlu_high_school_european_history": 0, | |
| "mmlu_high_school_geography": 0, | |
| "mmlu_high_school_government_and_politics": 0, | |
| "mmlu_high_school_macroeconomics": 0, | |
| "mmlu_high_school_mathematics": 0, | |
| "mmlu_high_school_microeconomics": 0, | |
| "mmlu_high_school_physics": 0, | |
| "mmlu_high_school_psychology": 0, | |
| "mmlu_high_school_statistics": 0, | |
| "mmlu_high_school_us_history": 0, | |
| "mmlu_high_school_world_history": 0, | |
| "mmlu_human_aging": 0, | |
| "mmlu_human_sexuality": 0, | |
| "mmlu_international_law": 0, | |
| "mmlu_jurisprudence": 0, | |
| "mmlu_logical_fallacies": 0, | |
| "mmlu_machine_learning": 0, | |
| "mmlu_management": 0, | |
| "mmlu_marketing": 0, | |
| "mmlu_medical_genetics": 0, | |
| "mmlu_miscellaneous": 0, | |
| "mmlu_moral_disputes": 0, | |
| "mmlu_moral_scenarios": 0, | |
| "mmlu_nutrition": 0, | |
| "mmlu_philosophy": 0, | |
| "mmlu_prehistory": 0, | |
| "mmlu_professional_accounting": 0, | |
| "mmlu_professional_law": 0, | |
| "mmlu_professional_medicine": 0, | |
| "mmlu_professional_psychology": 0, | |
| "mmlu_public_relations": 0, | |
| "mmlu_security_studies": 0, | |
| "mmlu_sociology": 0, | |
| "mmlu_us_foreign_policy": 0, | |
| "mmlu_virology": 0, | |
| "mmlu_world_religions": 0 | |
| }, | |
| "higher_is_better": { | |
| "ifeval": { | |
| "prompt_level_strict_acc": true, | |
| "inst_level_strict_acc": true, | |
| "prompt_level_loose_acc": true, | |
| "inst_level_loose_acc": true | |
| }, | |
| "mmlu": { | |
| "acc": true | |
| }, | |
| "mmlu_abstract_algebra": { | |
| "acc": true | |
| }, | |
| "mmlu_anatomy": { | |
| "acc": true | |
| }, | |
| "mmlu_astronomy": { | |
| "acc": true | |
| }, | |
| "mmlu_business_ethics": { | |
| "acc": true | |
| }, | |
| "mmlu_clinical_knowledge": { | |
| "acc": true | |
| }, | |
| "mmlu_college_biology": { | |
| "acc": true | |
| }, | |
| "mmlu_college_chemistry": { | |
| "acc": true | |
| }, | |
| "mmlu_college_computer_science": { | |
| "acc": true | |
| }, | |
| "mmlu_college_mathematics": { | |
| "acc": true | |
| }, | |
| "mmlu_college_medicine": { | |
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| "model": "vllm", | |
| "model_args": "pretrained=/home/dgxuser/workspace/Mango/axolotl/24B-Retrain/merged,tokenizer=/home/dgxuser/workspace/Mango/axolotl/24B-Retrain/merged,max_gen_toks=4096,max_model_len=8192,enable_prefix_caching=True,enable_chunked_prefill=True,tensor_parallel_size=8", | |
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| "pretty_env_info": "PyTorch version: 2.7.0+cu126\nIs debug build: False\nCUDA used to build PyTorch: 12.6\nROCM used to build PyTorch: N/A\n\nOS: Ubuntu 22.04.4 LTS (x86_64)\nGCC version: (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0\nClang version: Could not collect\nCMake version: version 3.22.1\nLibc version: glibc-2.35\n\nPython version: 3.11.11 (main, Dec 11 2024, 16:28:39) [GCC 11.2.0] (64-bit runtime)\nPython platform: Linux-5.15.0-1053-nvidia-x86_64-with-glibc2.35\nIs CUDA available: True\nCUDA runtime version: 11.5.119\nCUDA_MODULE_LOADING set to: LAZY\nGPU models and configuration: \nGPU 0: NVIDIA A100-SXM4-80GB\nGPU 1: NVIDIA A100-SXM4-80GB\nGPU 2: NVIDIA A100-SXM4-80GB\nGPU 3: NVIDIA A100-SXM4-80GB\nGPU 4: NVIDIA A100-SXM4-80GB\nGPU 5: NVIDIA A100-SXM4-80GB\nGPU 6: NVIDIA A100-SXM4-80GB\nGPU 7: NVIDIA A100-SXM4-80GB\n\nNvidia driver version: 535.161.08\ncuDNN version: Could not collect\nHIP runtime version: N/A\nMIOpen runtime version: N/A\nIs XNNPACK available: True\n\nCPU:\nArchitecture: x86_64\nCPU op-mode(s): 32-bit, 64-bit\nAddress sizes: 43 bits physical, 48 bits virtual\nByte Order: Little Endian\nCPU(s): 256\nOn-line CPU(s) list: 0-255\nVendor ID: AuthenticAMD\nModel name: AMD EPYC 7742 64-Core Processor\nCPU family: 23\nModel: 49\nThread(s) per core: 2\nCore(s) per socket: 64\nSocket(s): 2\nStepping: 0\nFrequency boost: enabled\nCPU max MHz: 2250.0000\nCPU min MHz: 1500.0000\nBogoMIPS: 4491.75\nFlags: fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush mmx fxsr sse sse2 ht syscall nx mmxext fxsr_opt pdpe1gb rdtscp lm constant_tsc rep_good nopl nonstop_tsc cpuid extd_apicid aperfmperf rapl pni pclmulqdq monitor ssse3 fma cx16 sse4_1 sse4_2 x2apic movbe popcnt aes xsave avx f16c rdrand lahf_lm cmp_legacy svm extapic cr8_legacy abm sse4a misalignsse 3dnowprefetch osvw ibs skinit wdt tce topoext perfctr_core perfctr_nb bpext perfctr_llc mwaitx cpb cat_l3 cdp_l3 hw_pstate ssbd mba ibrs ibpb stibp vmmcall fsgsbase bmi1 avx2 smep bmi2 cqm rdt_a rdseed adx smap clflushopt clwb sha_ni xsaveopt xsavec xgetbv1 cqm_llc cqm_occup_llc cqm_mbm_total cqm_mbm_local clzero irperf xsaveerptr rdpru wbnoinvd amd_ppin arat npt lbrv svm_lock nrip_save tsc_scale vmcb_clean flushbyasid decodeassists pausefilter pfthreshold avic v_vmsave_vmload vgif v_spec_ctrl umip rdpid overflow_recov succor smca sme sev sev_es\nVirtualization: AMD-V\nL1d cache: 4 MiB (128 instances)\nL1i cache: 4 MiB (128 instances)\nL2 cache: 64 MiB (128 instances)\nL3 cache: 512 MiB (32 instances)\nNUMA node(s): 8\nNUMA node0 CPU(s): 0-15,128-143\nNUMA node1 CPU(s): 16-31,144-159\nNUMA node2 CPU(s): 32-47,160-175\nNUMA node3 CPU(s): 48-63,176-191\nNUMA node4 CPU(s): 64-79,192-207\nNUMA node5 CPU(s): 80-95,208-223\nNUMA node6 CPU(s): 96-111,224-239\nNUMA node7 CPU(s): 112-127,240-255\nVulnerability Gather data sampling: Not affected\nVulnerability Itlb multihit: Not affected\nVulnerability L1tf: Not affected\nVulnerability Mds: Not affected\nVulnerability Meltdown: Not affected\nVulnerability Mmio stale data: Not affected\nVulnerability Retbleed: Mitigation; untrained return thunk; SMT enabled with STIBP protection\nVulnerability Spec rstack overflow: Mitigation; safe RET\nVulnerability Spec store bypass: Mitigation; Speculative Store Bypass disabled via prctl and seccomp\nVulnerability Spectre v1: Mitigation; usercopy/swapgs barriers and __user pointer sanitization\nVulnerability Spectre v2: Mitigation; Retpolines, IBPB conditional, STIBP always-on, RSB filling, PBRSB-eIBRS Not affected\nVulnerability Srbds: Not affected\nVulnerability Tsx async abort: Not affected\n\nVersions of relevant libraries:\n[pip3] numpy==2.2.6\n[pip3] nvidia-cublas-cu12==12.6.4.1\n[pip3] nvidia-cuda-cupti-cu12==12.6.80\n[pip3] nvidia-cuda-nvrtc-cu12==12.6.77\n[pip3] nvidia-cuda-runtime-cu12==12.6.77\n[pip3] nvidia-cudnn-cu12==9.5.1.17\n[pip3] nvidia-cufft-cu12==11.3.0.4\n[pip3] nvidia-curand-cu12==10.3.7.77\n[pip3] nvidia-cusolver-cu12==11.7.1.2\n[pip3] nvidia-cusparse-cu12==12.5.4.2\n[pip3] nvidia-cusparselt-cu12==0.6.3\n[pip3] nvidia-nccl-cu12==2.26.2\n[pip3] nvidia-nvjitlink-cu12==12.6.85\n[pip3] nvidia-nvtx-cu12==12.6.77\n[pip3] torch==2.7.0\n[pip3] torchaudio==2.7.0\n[pip3] torchvision==0.22.0\n[pip3] triton==3.3.0\n[conda] blas 1.0 mkl \n[conda] cuda-cudart 12.1.105 0 nvidia\n[conda] cuda-cupti 12.1.105 0 nvidia\n[conda] cuda-libraries 12.1.0 0 nvidia\n[conda] cuda-nvrtc 12.1.105 0 nvidia\n[conda] cuda-nvtx 12.1.105 0 nvidia\n[conda] cuda-opencl 12.9.19 0 nvidia\n[conda] cuda-runtime 12.1.0 0 nvidia\n[conda] ffmpeg 4.3 hf484d3e_0 pytorch\n[conda] libcublas 12.1.0.26 0 nvidia\n[conda] libcufft 11.0.2.4 0 nvidia\n[conda] libcurand 10.3.10.19 0 nvidia\n[conda] libcusolver 11.4.4.55 0 nvidia\n[conda] libcusparse 12.0.2.55 0 nvidia\n[conda] libjpeg-turbo 2.0.0 h9bf148f_0 pytorch\n[conda] libnvjitlink 12.1.105 0 nvidia\n[conda] mkl 2023.1.0 h213fc3f_46344 \n[conda] mkl-service 2.4.0 py311h5eee18b_2 \n[conda] mkl_fft 1.3.11 py311h5eee18b_0 \n[conda] mkl_random 1.2.8 py311ha02d727_0 \n[conda] numpy 1.26.4 pypi_0 pypi\n[conda] nvidia-cublas-cu12 12.1.3.1 pypi_0 pypi\n[conda] nvidia-cuda-cupti-cu12 12.1.105 pypi_0 pypi\n[conda] nvidia-cuda-nvrtc-cu12 12.1.105 pypi_0 pypi\n[conda] nvidia-cuda-runtime-cu12 12.1.105 pypi_0 pypi\n[conda] nvidia-cudnn-cu12 9.1.0.70 pypi_0 pypi\n[conda] nvidia-cufft-cu12 11.0.2.54 pypi_0 pypi\n[conda] nvidia-curand-cu12 10.3.2.106 pypi_0 pypi\n[conda] nvidia-cusolver-cu12 11.4.5.107 pypi_0 pypi\n[conda] nvidia-cusparse-cu12 12.1.0.106 pypi_0 pypi\n[conda] nvidia-nccl-cu12 2.20.5 pypi_0 pypi\n[conda] nvidia-nvjitlink-cu12 12.9.41 pypi_0 pypi\n[conda] nvidia-nvtx-cu12 12.1.105 pypi_0 pypi\n[conda] pytorch-cuda 12.1 ha16c6d3_6 pytorch\n[conda] pytorch-mutex 1.0 cuda pytorch\n[conda] torch 2.4.0 pypi_0 pypi\n[conda] torchaudio 2.5.1 py311_cu121 pytorch\n[conda] torchvision 0.19.0 pypi_0 pypi\n[conda] triton 3.0.0 pypi_0 pypi", | |
| "transformers_version": "4.53.0", | |
| "lm_eval_version": "0.4.9", | |
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| "tokenizer_eos_token": [ | |
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| "mmlu_high_school_biology": "3fb7646b3c9def6448c305937401933fb1ccb7a3750aaaf734765b66962264a8", | |
| "mmlu_electrical_engineering": "4696db1142e8bb63912cf56de182540aa886d09572df8cf6d5da37ff6d144516", | |
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| "mmlu_astronomy": "a7840590c8a89d853ebf69e7f8bc4cf2b7eb69b89ef2801f74232536870638fc", | |
| "mmlu_machine_learning": "e25a5b36ff8737d059df510dfac2e0083e1eccae98a49515ccc9d5fbf69bc8bc", | |
| "mmlu_college_chemistry": "596c0db68c89b2a413409b39dcdb5bb0f0e7cce78eaaf952e3ddb2f09c22def1", | |
| "mmlu_abstract_algebra": "1760b21fd56dfa201c3f46c9ae96522b7e0a5e33c1fc2bc341cbd422d207bd10", | |
| "mmlu_high_school_chemistry": "2b482509203f92c9adafbbcbdf6b5d32e746c55ccf5c1e772023a368ce4df531", | |
| "mmlu_computer_security": "a3be1d0d63e0b526e5ea59b37b14d1d3ad0aee73406ef2699f35ddea0c20cb6c", | |
| "mmlu_college_biology": "0ce125904aaef337576696045bff1b640d99bb11ccbd9321bf8f9c79966b2e8d", | |
| "mmlu_high_school_computer_science": "ccf3f4fa7a64240052e5d17ce0d73a02dc72a81cf3b762f3b81555fb9eed8598", | |
| "mmlu_anatomy": "7cdc7d2dee6647bc50e4ef4444cc0c703ff0c75eaff474fe1c377b17e48b9e8f", | |
| "mmlu_college_mathematics": "10707801abe204183d7003ea787824209b6539dbba9dc195a65a9e4b7507165f", | |
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| "mmlu_high_school_physics": "094b0c3b09a361853332905ce5bcdeaa27a59324e4fd9a26504c7b19c82a81ce", | |
| "mmlu_conceptual_physics": "666eb6ecf3b91eeb146659e30475a67e20af5414efc8220c6187b9d9cc28a369", | |
| "mmlu_college_computer_science": "a1aa72a3e01ad366b67d7ebed525ade4206eaff2c6381fc6050cd7685a2cfd9a", | |
| "mmlu_college_physics": "8672c562212c39fe69b873034389d76b75cc3d3b7f730df935419ea3607e527a", | |
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| "mmlu_marketing": "d0af9d3d2eda28135469ce80800867c78538f9b51366c0b3cf5efd73cf8cfd15", | |
| "mmlu_business_ethics": "34f65c098a84c264b0de81a9379e456e5517b111feeadccddeb7f558cb2487fc", | |
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| "mmlu_college_medicine": "3f88054d4d7028fc97247da43bd891e15c8f34c2546e616c8ce5589536cc1513", | |
| "mmlu_virology": "dfbaafba5f0c937e86674895beb0843b6f0bcb29aeb092f9606ed9b51750dccd", | |
| "mmlu_medical_genetics": "a9d74fd7757846dfe2052395438a04e3d56cef00ea85dbc17ba95a1be8bfbc7a", | |
| "mmlu_clinical_knowledge": "53127bc6fcfb7b737956616aa719dff9a91aecbc4dbf057275f5e6c9075614ab", | |
| "mmlu_global_facts": "2704929c2616e3d28049446f3e55a5b0693d3db0a04639e2e6931d400b73ddb5", | |
| "mmlu_management": "72e55f0fc994bdcab9637f77266bcd8e2257fa11ff18d8de11f10420c0d13cef", | |
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| "mmlu_econometrics": "5394e602a3460ea966b8643fa05686bc9632e45293ad9a09459ce8c0680b6f8b", | |
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| "mmlu_formal_logic": "1e3c3e734525ff4ee19578a18ae9e15a0184047943952f5117e638c947357285", | |
| "mmlu_prehistory": "19a95ac367b336762ec53cb6360fbaa24f534ef3ee94f188dfb05077613a42fd", | |
| "mmlu_professional_law": "4312b3bf29579626f568c61070e5823650fbc2f798205c62699ddf03a0ace2b8", | |
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| "mmlu_international_law": "848a6905ed42bd71baedcb49979a031686ecfa5f8e0a8e475380609b0eea67dc", | |
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| "mmlu_jurisprudence": "fa41a99aafcdd9381fd281d721d7d60bd9dea714c242a63ac01045f00af2ae3c", | |
| "mmlu_philosophy": "620490d4bbf6c3127f79c1f97b35aea67524c9825982b2a0a0a78fdf80017874", | |
| "ifeval": "a0944d2495291b61306df9a0bf350e60f502aa595fcc7123383a414265a514be" | |
| }, | |
| "model_source": "vllm", | |
| "model_name": "/home/dgxuser/workspace/Mango/axolotl/24B-Retrain/merged", | |
| "model_name_sanitized": "__home__dgxuser__workspace__Mango__axolotl__24B-Retrain__merged", | |
| "system_instruction": null, | |
| "system_instruction_sha": null, | |
| "fewshot_as_multiturn": true, | |
| "chat_template": "{%- set today = strftime_now(\"%Y-%m-%d\") %}\n{%- set default_system_message = \"You are Mistral Small 3, a Large Language Model (LLM) created by Mistral AI, a French startup headquartered in Paris.\\nYour knowledge base was last updated on 2023-10-01. The current date is \" + today + \".\\n\\nWhen you're not sure about some information, you say that you don't have the information and don't make up anything.\\nIf the user's question is not clear, ambiguous, or does not provide enough context for you to accurately answer the question, you do not try to answer it right away and you rather ask the user to clarify their request (e.g. \\\"What are some good restaurants around me?\\\" => \\\"Where are you?\\\" or \\\"When is the next flight to Tokyo\\\" => \\\"Where do you travel from?\\\")\" %}\n\n{{- bos_token }}\n\n{%- if messages[0]['role'] == 'system' %}\n {%- if messages[0]['content'] is string %}\n {%- set system_message = messages[0]['content'] %}\n {%- else %}\n {%- set system_message = messages[0]['content'][0]['text'] %}\n {%- endif %}\n {%- set loop_messages = messages[1:] %}\n{%- else %}\n {%- set system_message = default_system_message %}\n {%- set loop_messages = messages %}\n{%- endif %}\n{{- '[SYSTEM_PROMPT]' + system_message + '[/SYSTEM_PROMPT]' }}\n\n{%- for message in loop_messages %}\n {%- if message['role'] == 'user' %}\n {%- if message['content'] is string %}\n {{- '[INST]' + message['content'] + '[/INST]' }}\n {%- else %}\n {{- '[INST]' }}\n {%- for block in message['content'] %}\n {%- if block['type'] == 'text' %}\n {{- block['text'] }}\n {%- elif block['type'] in ['image', 'image_url'] %}\n {{- '[IMG]' }}\n {%- else %}\n {{- raise_exception('Only text and image blocks are supported in message content!') }}\n {%- endif %}\n {%- endfor %}\n {{- '[/INST]' }}\n {%- endif %}\n {%- elif message['role'] == 'system' %}\n {%- if message['content'] is string %}\n {{- '[SYSTEM_PROMPT]' + message['content'] + '[/SYSTEM_PROMPT]' }}\n {%- else %}\n {{- '[SYSTEM_PROMPT]' + message['content'][0]['text'] + '[/SYSTEM_PROMPT]' }}\n {%- endif %}\n {%- elif message['role'] == 'assistant' %}\n {%- if message['content'] is string %}\n {{- message['content'] + eos_token }}\n {%- else %}\n {{- message['content'][0]['text'] + eos_token }}\n {%- endif %}\n {%- else %}\n {{- raise_exception('Only user, system and assistant roles are supported!') }}\n {%- endif %}\n{%- endfor %}", | |
| "chat_template_sha": "5f42291cf1b71a8eeae031eafd5bdc669586dbbbebba344a5d641322af152aa7", | |
| "start_time": 1331416.233509223, | |
| "end_time": 1331614.076114171, | |
| "total_evaluation_time_seconds": "197.8426049479749" | |
| } |