Upload results for model mistralai/Mistral-Nemo-Instruct-2407

data/mistralai/Mistral-Nemo-Instruct-2407/cot/24-10-02-23:06:39_idx25/mistralai__Mistral-Nemo-Instruct-2407/results_2024-10-03T01-22-23.910532.json

@@ -0,0 +1,297 @@
+{
+  "results": {
+    "exercitationem-inventore-8567_logiqa2_cot": {
+      "alias": "exercitationem-inventore-8567_logiqa2_cot",
+      "acc,none": 0.4491094147582697,
+      "acc_stderr,none": 0.012549333541352601
+    },
+    "exercitationem-inventore-8567_logiqa_cot": {
+      "alias": "exercitationem-inventore-8567_logiqa_cot",
+      "acc,none": 0.3354632587859425,
+      "acc_stderr,none": 0.018886086340612132
+    },
+    "exercitationem-inventore-8567_lsat-ar_cot": {
+      "alias": "exercitationem-inventore-8567_lsat-ar_cot",
+      "acc,none": 0.24347826086956523,
+      "acc_stderr,none": 0.02836109930007507
+    },
+    "exercitationem-inventore-8567_lsat-lr_cot": {
+      "alias": "exercitationem-inventore-8567_lsat-lr_cot",
+      "acc,none": 0.4215686274509804,
+      "acc_stderr,none": 0.02188775257467711
+    },
+    "exercitationem-inventore-8567_lsat-rc_cot": {
+      "alias": "exercitationem-inventore-8567_lsat-rc_cot",
+      "acc,none": 0.5464684014869888,
+      "acc_stderr,none": 0.030410174042754437
+    }
+  },
+  "group_subtasks": {
+    "exercitationem-inventore-8567_logiqa2_cot": [],
+    "exercitationem-inventore-8567_logiqa_cot": [],
+    "exercitationem-inventore-8567_lsat-ar_cot": [],
+    "exercitationem-inventore-8567_lsat-lr_cot": [],
+    "exercitationem-inventore-8567_lsat-rc_cot": []
+  },
+  "configs": {
+    "exercitationem-inventore-8567_logiqa2_cot": {
+      "task": "exercitationem-inventore-8567_logiqa2_cot",
+      "tag": "logikon-bench",
+      "group": "logikon-bench",
+      "dataset_path": "cot-leaderboard/cot-eval-traces-2.0",
+      "dataset_kwargs": {
+        "data_files": {
+          "test": "data/mistralai/Mistral-Nemo-Instruct-2407/exercitationem-inventore-8567-logiqa2.parquet"
+        }
+      },
+      "test_split": "test",
+      "doc_to_text": "def doc_to_text_cot(doc) -> str:\n    \"\"\"\n    Answer the following question about the given passage. [Base your answer on the reasoning below.]\n    \n    Passage: <passage>\n    \n    Question: <question>\n    A. <choice1>\n    B. <choice2>\n    C. <choice3>\n    D. <choice4>\n    [E. <choice5>]\n    \n    [Reasoning: <reasoning>]\n    \n    Answer:\n    \"\"\"\n    k = len(doc[\"options\"])\n    choices = [\"a\", \"b\", \"c\", \"d\", \"e\"][:k]\n    prompt = \"Answer the following question about the given passage. Base your answer on the reasoning below.\\n\\n\"\n    prompt = \"Passage: \" + doc[\"passage\"] + \"\\n\\n\"\n    prompt += \"Question: \" + doc[\"question\"] + \"\\n\"\n    for choice, option in zip(choices, doc[\"options\"]):\n        prompt += f\"{choice.upper()}. {option}\\n\"\n    prompt += \"\\n\"\n    prompt += \"Reasoning: \" + doc[\"reasoning_trace\"] + \"\\n\\n\"    \n    prompt += \"Answer:\"\n    return prompt\n",
+      "doc_to_target": "{{answer}}",
+      "doc_to_choice": "{{options}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\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": 0.0
+      }
+    },
+    "exercitationem-inventore-8567_logiqa_cot": {
+      "task": "exercitationem-inventore-8567_logiqa_cot",
+      "tag": "logikon-bench",
+      "group": "logikon-bench",
+      "dataset_path": "cot-leaderboard/cot-eval-traces-2.0",
+      "dataset_kwargs": {
+        "data_files": {
+          "test": "data/mistralai/Mistral-Nemo-Instruct-2407/exercitationem-inventore-8567-logiqa.parquet"
+        }
+      },
+      "test_split": "test",
+      "doc_to_text": "def doc_to_text_cot(doc) -> str:\n    \"\"\"\n    Answer the following question about the given passage. [Base your answer on the reasoning below.]\n    \n    Passage: <passage>\n    \n    Question: <question>\n    A. <choice1>\n    B. <choice2>\n    C. <choice3>\n    D. <choice4>\n    [E. <choice5>]\n    \n    [Reasoning: <reasoning>]\n    \n    Answer:\n    \"\"\"\n    k = len(doc[\"options\"])\n    choices = [\"a\", \"b\", \"c\", \"d\", \"e\"][:k]\n    prompt = \"Answer the following question about the given passage. Base your answer on the reasoning below.\\n\\n\"\n    prompt = \"Passage: \" + doc[\"passage\"] + \"\\n\\n\"\n    prompt += \"Question: \" + doc[\"question\"] + \"\\n\"\n    for choice, option in zip(choices, doc[\"options\"]):\n        prompt += f\"{choice.upper()}. {option}\\n\"\n    prompt += \"\\n\"\n    prompt += \"Reasoning: \" + doc[\"reasoning_trace\"] + \"\\n\\n\"    \n    prompt += \"Answer:\"\n    return prompt\n",
+      "doc_to_target": "{{answer}}",
+      "doc_to_choice": "{{options}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\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": 0.0
+      }
+    },
+    "exercitationem-inventore-8567_lsat-ar_cot": {
+      "task": "exercitationem-inventore-8567_lsat-ar_cot",
+      "tag": "logikon-bench",
+      "group": "logikon-bench",
+      "dataset_path": "cot-leaderboard/cot-eval-traces-2.0",
+      "dataset_kwargs": {
+        "data_files": {
+          "test": "data/mistralai/Mistral-Nemo-Instruct-2407/exercitationem-inventore-8567-lsat-ar.parquet"
+        }
+      },
+      "test_split": "test",
+      "doc_to_text": "def doc_to_text_cot(doc) -> str:\n    \"\"\"\n    Answer the following question about the given passage. [Base your answer on the reasoning below.]\n    \n    Passage: <passage>\n    \n    Question: <question>\n    A. <choice1>\n    B. <choice2>\n    C. <choice3>\n    D. <choice4>\n    [E. <choice5>]\n    \n    [Reasoning: <reasoning>]\n    \n    Answer:\n    \"\"\"\n    k = len(doc[\"options\"])\n    choices = [\"a\", \"b\", \"c\", \"d\", \"e\"][:k]\n    prompt = \"Answer the following question about the given passage. Base your answer on the reasoning below.\\n\\n\"\n    prompt = \"Passage: \" + doc[\"passage\"] + \"\\n\\n\"\n    prompt += \"Question: \" + doc[\"question\"] + \"\\n\"\n    for choice, option in zip(choices, doc[\"options\"]):\n        prompt += f\"{choice.upper()}. {option}\\n\"\n    prompt += \"\\n\"\n    prompt += \"Reasoning: \" + doc[\"reasoning_trace\"] + \"\\n\\n\"    \n    prompt += \"Answer:\"\n    return prompt\n",
+      "doc_to_target": "{{answer}}",
+      "doc_to_choice": "{{options}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\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": 0.0
+      }
+    },
+    "exercitationem-inventore-8567_lsat-lr_cot": {
+      "task": "exercitationem-inventore-8567_lsat-lr_cot",
+      "tag": "logikon-bench",
+      "group": "logikon-bench",
+      "dataset_path": "cot-leaderboard/cot-eval-traces-2.0",
+      "dataset_kwargs": {
+        "data_files": {
+          "test": "data/mistralai/Mistral-Nemo-Instruct-2407/exercitationem-inventore-8567-lsat-lr.parquet"
+        }
+      },
+      "test_split": "test",
+      "doc_to_text": "def doc_to_text_cot(doc) -> str:\n    \"\"\"\n    Answer the following question about the given passage. [Base your answer on the reasoning below.]\n    \n    Passage: <passage>\n    \n    Question: <question>\n    A. <choice1>\n    B. <choice2>\n    C. <choice3>\n    D. <choice4>\n    [E. <choice5>]\n    \n    [Reasoning: <reasoning>]\n    \n    Answer:\n    \"\"\"\n    k = len(doc[\"options\"])\n    choices = [\"a\", \"b\", \"c\", \"d\", \"e\"][:k]\n    prompt = \"Answer the following question about the given passage. Base your answer on the reasoning below.\\n\\n\"\n    prompt = \"Passage: \" + doc[\"passage\"] + \"\\n\\n\"\n    prompt += \"Question: \" + doc[\"question\"] + \"\\n\"\n    for choice, option in zip(choices, doc[\"options\"]):\n        prompt += f\"{choice.upper()}. {option}\\n\"\n    prompt += \"\\n\"\n    prompt += \"Reasoning: \" + doc[\"reasoning_trace\"] + \"\\n\\n\"    \n    prompt += \"Answer:\"\n    return prompt\n",
+      "doc_to_target": "{{answer}}",
+      "doc_to_choice": "{{options}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\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": 0.0
+      }
+    },
+    "exercitationem-inventore-8567_lsat-rc_cot": {
+      "task": "exercitationem-inventore-8567_lsat-rc_cot",
+      "tag": "logikon-bench",
+      "group": "logikon-bench",
+      "dataset_path": "cot-leaderboard/cot-eval-traces-2.0",
+      "dataset_kwargs": {
+        "data_files": {
+          "test": "data/mistralai/Mistral-Nemo-Instruct-2407/exercitationem-inventore-8567-lsat-rc.parquet"
+        }
+      },
+      "test_split": "test",
+      "doc_to_text": "def doc_to_text_cot(doc) -> str:\n    \"\"\"\n    Answer the following question about the given passage. [Base your answer on the reasoning below.]\n    \n    Passage: <passage>\n    \n    Question: <question>\n    A. <choice1>\n    B. <choice2>\n    C. <choice3>\n    D. <choice4>\n    [E. <choice5>]\n    \n    [Reasoning: <reasoning>]\n    \n    Answer:\n    \"\"\"\n    k = len(doc[\"options\"])\n    choices = [\"a\", \"b\", \"c\", \"d\", \"e\"][:k]\n    prompt = \"Answer the following question about the given passage. Base your answer on the reasoning below.\\n\\n\"\n    prompt = \"Passage: \" + doc[\"passage\"] + \"\\n\\n\"\n    prompt += \"Question: \" + doc[\"question\"] + \"\\n\"\n    for choice, option in zip(choices, doc[\"options\"]):\n        prompt += f\"{choice.upper()}. {option}\\n\"\n    prompt += \"\\n\"\n    prompt += \"Reasoning: \" + doc[\"reasoning_trace\"] + \"\\n\\n\"    \n    prompt += \"Answer:\"\n    return prompt\n",
+      "doc_to_target": "{{answer}}",
+      "doc_to_choice": "{{options}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\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": 0.0
+      }
+    }
+  },
+  "versions": {
+    "exercitationem-inventore-8567_logiqa2_cot": 0.0,
+    "exercitationem-inventore-8567_logiqa_cot": 0.0,
+    "exercitationem-inventore-8567_lsat-ar_cot": 0.0,
+    "exercitationem-inventore-8567_lsat-lr_cot": 0.0,
+    "exercitationem-inventore-8567_lsat-rc_cot": 0.0
+  },
+  "n-shot": {
+    "exercitationem-inventore-8567_logiqa2_cot": 0,
+    "exercitationem-inventore-8567_logiqa_cot": 0,
+    "exercitationem-inventore-8567_lsat-ar_cot": 0,
+    "exercitationem-inventore-8567_lsat-lr_cot": 0,
+    "exercitationem-inventore-8567_lsat-rc_cot": 0
+  },
+  "higher_is_better": {
+    "exercitationem-inventore-8567_logiqa2_cot": {
+      "acc": true
+    },
+    "exercitationem-inventore-8567_logiqa_cot": {
+      "acc": true
+    },
+    "exercitationem-inventore-8567_lsat-ar_cot": {
+      "acc": true
+    },
+    "exercitationem-inventore-8567_lsat-lr_cot": {
+      "acc": true
+    },
+    "exercitationem-inventore-8567_lsat-rc_cot": {
+      "acc": true
+    }
+  },
+  "n-samples": {
+    "exercitationem-inventore-8567_lsat-rc_cot": {
+      "original": 269,
+      "effective": 269
+    },
+    "exercitationem-inventore-8567_lsat-lr_cot": {
+      "original": 510,
+      "effective": 510
+    },
+    "exercitationem-inventore-8567_lsat-ar_cot": {
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+      "effective": 230
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+    "exercitationem-inventore-8567_logiqa_cot": {
+      "original": 626,
+      "effective": 626
+    },
+    "exercitationem-inventore-8567_logiqa2_cot": {
+      "original": 1572,
+      "effective": 1572
+    }
+  },
+  "config": {
+    "model": "local-completions",
+    "model_args": "base_url=http://localhost:8080/v1/completions,num_concurrent=1,max_retries=3,tokenized_requests=False,model=mistralai/Mistral-Nemo-Instruct-2407,trust_remote_code=True",
+    "batch_size": "1",
+    "batch_sizes": [],
+    "device": null,
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null,
+    "random_seed": 0,
+    "numpy_seed": 1234,
+    "torch_seed": 1234,
+    "fewshot_seed": 1234
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+  "git_hash": "d7733d8",
+  "date": 1727910310.1371007,
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+  "transformers_version": "4.45.1",
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+  "tokenizer_pad_token": [
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+    "2"
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+  "task_hashes": {},
+  "model_source": "local-completions",
+  "model_name": "mistralai/Mistral-Nemo-Instruct-2407",
+  "model_name_sanitized": "mistralai__Mistral-Nemo-Instruct-2407",
+  "system_instruction": null,
+  "system_instruction_sha": null,
+  "fewshot_as_multiturn": false,
+  "chat_template": null,
+  "chat_template_sha": null,
+  "start_time": 724971.630842951,
+  "end_time": 726008.811684254,
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+}