| { | |
| "results": { | |
| "multimedqa": { | |
| "alias": "stem", | |
| "acc,none": 0.4063875088715401, | |
| "acc_stderr,none": 0.07686893603849891, | |
| "acc_norm,none": 0.37056429084523906, | |
| "acc_norm_stderr,none": 0.00010241543372288454 | |
| }, | |
| "medmcqa": { | |
| "acc,none": 0.3691130767391824, | |
| "acc_stderr,none": 0.007462141229317634, | |
| "acc_norm,none": 0.3691130767391824, | |
| "acc_norm_stderr,none": 0.007462141229317634, | |
| "alias": " - medmcqa" | |
| }, | |
| "medqa_4options": { | |
| "acc,none": 0.373134328358209, | |
| "acc_stderr,none": 0.013560518364022962, | |
| "acc_norm,none": 0.373134328358209, | |
| "acc_norm_stderr,none": 0.013560518364022962, | |
| "alias": " - medqa_4options" | |
| }, | |
| "mmlu_anatomy": { | |
| "alias": " - anatomy (mmlu)", | |
| "acc,none": 0.4148148148148148, | |
| "acc_stderr,none": 0.04256193767901407 | |
| }, | |
| "mmlu_clinical_knowledge": { | |
| "alias": " - clinical_knowledge (mmlu)", | |
| "acc,none": 0.4830188679245283, | |
| "acc_stderr,none": 0.030755120364119905 | |
| }, | |
| "mmlu_college_biology": { | |
| "alias": " - college_biology (mmlu)", | |
| "acc,none": 0.4722222222222222, | |
| "acc_stderr,none": 0.04174752578923185 | |
| }, | |
| "mmlu_college_medicine": { | |
| "alias": " - college_medicine (mmlu)", | |
| "acc,none": 0.4161849710982659, | |
| "acc_stderr,none": 0.03758517775404947 | |
| }, | |
| "mmlu_medical_genetics": { | |
| "alias": " - medical_genetics (mmlu)", | |
| "acc,none": 0.6, | |
| "acc_stderr,none": 0.04923659639173309 | |
| }, | |
| "mmlu_professional_medicine": { | |
| "alias": " - professional_medicine (mmlu)", | |
| "acc,none": 0.43014705882352944, | |
| "acc_stderr,none": 0.030074971917302875 | |
| }, | |
| "pubmedqa": { | |
| "acc,none": 0.686, | |
| "acc_stderr,none": 0.020776701920308997, | |
| "alias": " - pubmedqa" | |
| } | |
| }, | |
| "groups": { | |
| "multimedqa": { | |
| "alias": "stem", | |
| "acc,none": 0.4063875088715401, | |
| "acc_stderr,none": 0.07686893603849891, | |
| "acc_norm,none": 0.37056429084523906, | |
| "acc_norm_stderr,none": 0.00010241543372288454 | |
| } | |
| }, | |
| "configs": { | |
| "medmcqa": { | |
| "task": "medmcqa", | |
| "dataset_path": "medmcqa", | |
| "training_split": "train", | |
| "validation_split": "validation", | |
| "test_split": "validation", | |
| "doc_to_text": "def doc_to_text(doc) -> str:\n \"\"\"\n Question: <question>\n Choices:\n A. <choice1>\n B. <choice2>\n C. <choice3>\n D. <choice4>\n Answer:\n \"\"\"\n choices = [doc[\"opa\"], doc[\"opb\"], doc[\"opc\"], doc[\"opd\"]]\n option_choices = {'A': choices[0], 'B': choices[1], 'C': choices[2], 'D': choices[3]}\n\n prompt = \"Question: \" + doc[\"question\"] + \"\\nChoices:\\n\"\n for choice, option in option_choices.items():\n prompt += f\"{choice.upper()}. {option}\\n\"\n prompt += \"Answer:\"\n return prompt\n", | |
| "doc_to_target": "cop", | |
| "doc_to_choice": [ | |
| "A", | |
| "B", | |
| "C", | |
| "D" | |
| ], | |
| "description": "", | |
| "target_delimiter": " ", | |
| "fewshot_delimiter": "\n\n", | |
| "metric_list": [ | |
| { | |
| "metric": "acc", | |
| "aggregation": "mean", | |
| "higher_is_better": true | |
| }, | |
| { | |
| "metric": "acc_norm", | |
| "aggregation": "mean", | |
| "higher_is_better": true | |
| } | |
| ], | |
| "output_type": "multiple_choice", | |
| "repeats": 1, | |
| "should_decontaminate": true, | |
| "doc_to_decontamination_query": "{{question}}" | |
| }, | |
| "medqa_4options": { | |
| "task": "medqa_4options", | |
| "dataset_path": "GBaker/MedQA-USMLE-4-options-hf", | |
| "training_split": "train", | |
| "validation_split": "validation", | |
| "test_split": "test", | |
| "doc_to_text": "def doc_to_text(doc) -> str:\n option_choices = {'A': doc[\"ending0\"], 'B': doc[\"ending1\"], 'C': doc[\"ending2\"], 'D': doc[\"ending3\"]}\n answers = \"\".join((f\"{k}. {v}\\n\") for k, v in option_choices.items())\n return f\"Question: {doc['sent1']}\\n{answers}Answer:\"\n", | |
| "doc_to_target": "def doc_to_target(doc) -> int:\n return doc[\"label\"]\n", | |
| "doc_to_choice": [ | |
| "A", | |
| "B", | |
| "C", | |
| "D" | |
| ], | |
| "description": "", | |
| "target_delimiter": " ", | |
| "fewshot_delimiter": "\n\n", | |
| "metric_list": [ | |
| { | |
| "metric": "acc", | |
| "aggregation": "mean", | |
| "higher_is_better": true | |
| }, | |
| { | |
| "metric": "acc_norm", | |
| "aggregation": "mean", | |
| "higher_is_better": true | |
| } | |
| ], | |
| "output_type": "multiple_choice", | |
| "repeats": 1, | |
| "should_decontaminate": false | |
| }, | |
| "mmlu_anatomy": { | |
| "task": "mmlu_anatomy", | |
| "task_alias": "anatomy (mmlu)", | |
| "group": "multimedqa", | |
| "group_alias": "stem", | |
| "dataset_path": "hails/mmlu_no_train", | |
| "dataset_name": "anatomy", | |
| "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", | |
| "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" | |
| }, | |
| "metric_list": [ | |
| { | |
| "metric": "acc", | |
| "aggregation": "mean", | |
| "higher_is_better": true | |
| } | |
| ], | |
| "output_type": "multiple_choice", | |
| "repeats": 1, | |
| "should_decontaminate": false, | |
| "metadata": { | |
| "version": 0.0 | |
| } | |
| }, | |
| "mmlu_clinical_knowledge": { | |
| "task": "mmlu_clinical_knowledge", | |
| "task_alias": "clinical_knowledge (mmlu)", | |
| "group": "multimedqa", | |
| "group_alias": "other", | |
| "dataset_path": "hails/mmlu_no_train", | |
| "dataset_name": "clinical_knowledge", | |
| "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", | |
| "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" | |
| }, | |
| "metric_list": [ | |
| { | |
| "metric": "acc", | |
| "aggregation": "mean", | |
| "higher_is_better": true | |
| } | |
| ], | |
| "output_type": "multiple_choice", | |
| "repeats": 1, | |
| "should_decontaminate": false, | |
| "metadata": { | |
| "version": 0.0 | |
| } | |
| }, | |
| "mmlu_college_biology": { | |
| "task": "mmlu_college_biology", | |
| "task_alias": "college_biology (mmlu)", | |
| "group": "multimedqa", | |
| "group_alias": "stem", | |
| "dataset_path": "hails/mmlu_no_train", | |
| "dataset_name": "college_biology", | |
| "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", | |
| "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" | |
| }, | |
| "metric_list": [ | |
| { | |
| "metric": "acc", | |
| "aggregation": "mean", | |
| "higher_is_better": true | |
| } | |
| ], | |
| "output_type": "multiple_choice", | |
| "repeats": 1, | |
| "should_decontaminate": false, | |
| "metadata": { | |
| "version": 0.0 | |
| } | |
| }, | |
| "mmlu_college_medicine": { | |
| "task": "mmlu_college_medicine", | |
| "task_alias": "college_medicine (mmlu)", | |
| "group": "multimedqa", | |
| "group_alias": "other", | |
| "dataset_path": "hails/mmlu_no_train", | |
| "dataset_name": "college_medicine", | |
| "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", | |
| "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" | |
| }, | |
| "metric_list": [ | |
| { | |
| "metric": "acc", | |
| "aggregation": "mean", | |
| "higher_is_better": true | |
| } | |
| ], | |
| "output_type": "multiple_choice", | |
| "repeats": 1, | |
| "should_decontaminate": false, | |
| "metadata": { | |
| "version": 0.0 | |
| } | |
| }, | |
| "mmlu_medical_genetics": { | |
| "task": "mmlu_medical_genetics", | |
| "task_alias": "medical_genetics (mmlu)", | |
| "group": "multimedqa", | |
| "group_alias": "other", | |
| "dataset_path": "hails/mmlu_no_train", | |
| "dataset_name": "medical_genetics", | |
| "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", | |
| "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" | |
| }, | |
| "metric_list": [ | |
| { | |
| "metric": "acc", | |
| "aggregation": "mean", | |
| "higher_is_better": true | |
| } | |
| ], | |
| "output_type": "multiple_choice", | |
| "repeats": 1, | |
| "should_decontaminate": false, | |
| "metadata": { | |
| "version": 0.0 | |
| } | |
| }, | |
| "mmlu_professional_medicine": { | |
| "task": "mmlu_professional_medicine", | |
| "task_alias": "professional_medicine (mmlu)", | |
| "group": "multimedqa", | |
| "group_alias": "other", | |
| "dataset_path": "hails/mmlu_no_train", | |
| "dataset_name": "professional_medicine", | |
| "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", | |
| "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" | |
| }, | |
| "metric_list": [ | |
| { | |
| "metric": "acc", | |
| "aggregation": "mean", | |
| "higher_is_better": true | |
| } | |
| ], | |
| "output_type": "multiple_choice", | |
| "repeats": 1, | |
| "should_decontaminate": false, | |
| "metadata": { | |
| "version": 0.0 | |
| } | |
| }, | |
| "pubmedqa": { | |
| "task": "pubmedqa", | |
| "dataset_path": "bigbio/pubmed_qa", | |
| "dataset_name": "pubmed_qa_labeled_fold0_source", | |
| "training_split": "train", | |
| "validation_split": "validation", | |
| "test_split": "test", | |
| "doc_to_text": "def doc_to_text(doc) -> str:\n ctxs = \"\\n\".join(doc[\"CONTEXTS\"])\n return \"Abstract: {}\\nQuestion: {}\\nAnswer:\".format(\n ctxs,\n doc[\"QUESTION\"],\n )\n", | |
| "doc_to_target": "final_decision", | |
| "doc_to_choice": [ | |
| "yes", | |
| "no", | |
| "maybe" | |
| ], | |
| "description": "", | |
| "target_delimiter": " ", | |
| "fewshot_delimiter": "\n\n", | |
| "metric_list": [ | |
| { | |
| "metric": "acc", | |
| "aggregation": "mean", | |
| "higher_is_better": true | |
| } | |
| ], | |
| "output_type": "multiple_choice", | |
| "repeats": 1, | |
| "should_decontaminate": false, | |
| "metadata": { | |
| "version": 1.0 | |
| } | |
| } | |
| }, | |
| "versions": { | |
| "medmcqa": "Yaml", | |
| "medqa_4options": "Yaml", | |
| "mmlu_anatomy": 0.0, | |
| "mmlu_clinical_knowledge": 0.0, | |
| "mmlu_college_biology": 0.0, | |
| "mmlu_college_medicine": 0.0, | |
| "mmlu_medical_genetics": 0.0, | |
| "mmlu_professional_medicine": 0.0, | |
| "multimedqa": "N/A", | |
| "pubmedqa": 1.0 | |
| }, | |
| "n-shot": { | |
| "medmcqa": 0, | |
| "medqa_4options": 0, | |
| "mmlu_anatomy": 0, | |
| "mmlu_clinical_knowledge": 0, | |
| "mmlu_college_biology": 0, | |
| "mmlu_college_medicine": 0, | |
| "mmlu_medical_genetics": 0, | |
| "mmlu_professional_medicine": 0, | |
| "multimedqa": 0, | |
| "pubmedqa": 0 | |
| }, | |
| "config": { | |
| "model": "hf", | |
| "model_args": "pretrained=bigscience/bloomz-7b1-mt,dtype=bfloat16,trust_remote_code=True", | |
| "batch_size": "auto", | |
| "batch_sizes": [ | |
| 4 | |
| ], | |
| "device": null, | |
| "use_cache": null, | |
| "limit": null, | |
| "bootstrap_iters": 100000, | |
| "gen_kwargs": null | |
| }, | |
| "git_hash": "62513ca" | |
| } |