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218629bd11968e2db99f3f7f8ca0683d9964b3aefe8d993b2e37514288458080 | 1,736,452,744,688 | 1,736,449,200,000 | mistralai_Mistral-7B-Instruct-v0.3 | cards.mmlu.medical_genetics | card=cards.mmlu.medical_genetics,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.MMLU.MultipleChoiceTemplatesInstructionsStateBelow.enumerator_numbers_choicesSeparator_semicolon_shuffleChoices_False,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 3.514133 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "mistralai/Mistral-7B-Instruct-v0.3", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.16.4"} | {'accuracy': 0.65, 'accuracy_ci_low': 0.56, 'accuracy_ci_high': 0.75, 'score_name': 'accuracy', 'score': 0.65, 'score_ci_high': 0.75, 'score_ci_low': 0.56, 'num_of_instances': 100} | 1 | a100_80gb |
fa43b443b6dd712339f70a065904fa02dda4a21470f3b06e996351bd6cafea68 | 1,736,452,748,464 | 1,736,449,200,000 | mistralai_Mistral-7B-Instruct-v0.3 | cards.mmlu.high_school_government_and_politics | card=cards.mmlu.high_school_government_and_politics,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.MMLU.MultipleChoiceTemplatesInstructionsWithoutTopicHarness.enumerator_keyboard_choicesSeparator_OrCapital_shuffleChoices_placeCorrectChoiceFourth,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 3.2296 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "mistralai/Mistral-7B-Instruct-v0.3", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.16.4"} | {'accuracy': 0.68, 'accuracy_ci_low': 0.59, 'accuracy_ci_high': 0.76, 'score_name': 'accuracy', 'score': 0.68, 'score_ci_high': 0.76, 'score_ci_low': 0.59, 'num_of_instances': 100} | 1 | a100_80gb |
ed995bbf6e3da5e4883b77ea33f23ff55cf6f64ae762615485e8a0c0a359bf73 | 1,736,452,752,093 | 1,736,449,200,000 | mistralai_Mistral-7B-Instruct-v0.3 | cards.mmlu.human_aging | card=cards.mmlu.human_aging,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.MMLU.MultipleChoiceTemplatesInstructionsProSAAddress.enumerator_keyboard_choicesSeparator_OrCapital_shuffleChoices_False,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 3.044794 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "mistralai/Mistral-7B-Instruct-v0.3", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.16.4"} | {'accuracy': 0.37, 'accuracy_ci_low': 0.28, 'accuracy_ci_high': 0.47, 'score_name': 'accuracy', 'score': 0.37, 'score_ci_high': 0.47, 'score_ci_low': 0.28, 'num_of_instances': 100} | 1 | a100_80gb |
6c291a8ea4cd42413a0fe3d00ead3f38b1d2dc9f87da6bb9a744cd7294f9710b | 1,736,452,694,669 | 1,736,449,200,000 | mistralai_Mistral-7B-Instruct-v0.3 | cards.mmlu.moral_scenarios | card=cards.mmlu.moral_scenarios,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MMLU.MultipleChoiceTemplatesInstructionsWithoutTopicFixed.enumerator_roman_choicesSeparator_semicolon_shuffleChoices_alphabeticalSortReverse,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 9.375571 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "mistralai/Mistral-7B-Instruct-v0.3", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.16.4"} | {'accuracy': 0.37, 'accuracy_ci_low': 0.28, 'accuracy_ci_high': 0.46, 'score_name': 'accuracy', 'score': 0.37, 'score_ci_high': 0.46, 'score_ci_low': 0.28, 'num_of_instances': 100} | 1 | a100_80gb |
ebd69d5a4306072d83b58bf77fdee8c3a77e6083a85bcee9f0e16dc896f5fb96 | 1,736,452,699,851 | 1,736,449,200,000 | mistralai_Mistral-7B-Instruct-v0.3 | cards.ai2_arc.arc_easy | card=cards.ai2_arc.arc_easy,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.AI2_ARC.MultipleChoiceTemplatesInstructionsProSASimple.enumerator_capitals_choicesSeparator_OrCapital_shuffleChoices_lengthSort,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 3.959495 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "mistralai/Mistral-7B-Instruct-v0.3", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.16.4"} | {'accuracy': 0.77, 'accuracy_ci_low': 0.69, 'accuracy_ci_high': 0.85, 'score_name': 'accuracy', 'score': 0.77, 'score_ci_high': 0.85, 'score_ci_low': 0.69, 'num_of_instances': 100} | 1 | a100_80gb |
47aa16868d00f3801d37d0a2672502f62f91ae95d662ba40e2b6eb1e30960688 | 1,736,452,706,458 | 1,736,449,200,000 | mistralai_Mistral-7B-Instruct-v0.3 | cards.mmlu.anatomy | card=cards.mmlu.anatomy,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MMLU.MultipleChoiceTemplatesInstructionsProSACould.enumerator_keyboard_choicesSeparator_orLower_shuffleChoices_placeCorrectChoiceFourth,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 6.092915 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "mistralai/Mistral-7B-Instruct-v0.3", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.16.4"} | {'accuracy': 0.76, 'accuracy_ci_low': 0.67, 'accuracy_ci_high': 0.83, 'score_name': 'accuracy', 'score': 0.76, 'score_ci_high': 0.83, 'score_ci_low': 0.67, 'num_of_instances': 100} | 1 | a100_80gb |
01dbde73cbf052e215fe098042b8ee0797248a86f717979d59cfedaf30179fbd | 1,736,452,711,644 | 1,736,449,200,000 | mistralai_Mistral-7B-Instruct-v0.3 | cards.mmlu_pro.psychology | card=cards.mmlu_pro.psychology,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.MMLU_PRO.MultipleChoiceTemplatesStructuredWithTopic.enumerator_roman_choicesSeparator_OrCapital_shuffleChoices_alphabeticalSortReverse,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 4.474478 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "mistralai/Mistral-7B-Instruct-v0.3", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.16.4"} | {'accuracy': 0.35, 'accuracy_ci_low': 0.26, 'accuracy_ci_high': 0.45, 'score_name': 'accuracy', 'score': 0.35, 'score_ci_high': 0.45, 'score_ci_low': 0.26, 'num_of_instances': 100} | 1 | a100_80gb |
1b061962311c6c104363ad2cfc8bc419bd21026541934b6853f37e486c93cd4b | 1,736,452,721,299 | 1,736,449,200,000 | mistralai_Mistral-7B-Instruct-v0.3 | cards.mmlu.college_chemistry | card=cards.mmlu.college_chemistry,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MMLU.MultipleChoiceTemplatesStructuredWithTopic.enumerator_capitals_choicesSeparator_semicolon_shuffleChoices_placeCorrectChoiceFourth,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 8.436061 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "mistralai/Mistral-7B-Instruct-v0.3", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.16.4"} | {'accuracy': 0.25, 'accuracy_ci_low': 0.17, 'accuracy_ci_high': 0.34, 'score_name': 'accuracy', 'score': 0.25, 'score_ci_high': 0.34, 'score_ci_low': 0.17, 'num_of_instances': 100} | 1 | a100_80gb |
1bed80bdb90aa1c4170373706b08b8f8b38b4cdf037a979ef3a569f0b5afd5c0 | 1,736,452,729,801 | 1,736,449,200,000 | mistralai_Mistral-7B-Instruct-v0.3 | cards.mmlu.high_school_geography | card=cards.mmlu.high_school_geography,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MMLU.MultipleChoiceTemplatesInstructionsStateHere.enumerator_numbers_choicesSeparator_comma_shuffleChoices_placeCorrectChoiceFirst,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 7.109529 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "mistralai/Mistral-7B-Instruct-v0.3", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.16.4"} | {'accuracy': 0.77, 'accuracy_ci_low': 0.68, 'accuracy_ci_high': 0.84, 'score_name': 'accuracy', 'score': 0.77, 'score_ci_high': 0.84, 'score_ci_low': 0.68, 'num_of_instances': 100} | 1 | a100_80gb |
4bef225b3b66556135ab248e937066a9c843044e22ceb01451c9f9d66c60bf36 | 1,736,452,735,898 | 1,736,449,200,000 | mistralai_Mistral-7B-Instruct-v0.3 | cards.mmlu.logical_fallacies | card=cards.mmlu.logical_fallacies,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.MMLU.MultipleChoiceTemplatesInstructionsWithoutTopicHelmFixed.enumerator_lowercase_choicesSeparator_semicolon_shuffleChoices_lengthSort,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 5.298533 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "mistralai/Mistral-7B-Instruct-v0.3", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.16.4"} | {'accuracy': 0.61, 'accuracy_ci_low': 0.51, 'accuracy_ci_high': 0.7, 'score_name': 'accuracy', 'score': 0.61, 'score_ci_high': 0.7, 'score_ci_low': 0.51, 'num_of_instances': 100} | 1 | a100_80gb |
3563fd726b947b8e9064aa59801ec0408515e12aaea99571d949ea1576b45cea | 1,736,452,739,807 | 1,736,449,200,000 | mistralai_Mistral-7B-Instruct-v0.3 | cards.mmlu.computer_security | card=cards.mmlu.computer_security,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.MMLU.MultipleChoiceTemplatesInstructionsWithoutTopicHelmFixed.enumerator_numbers_choicesSeparator_space_shuffleChoices_alphabeticalSort,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 3.31754 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "mistralai/Mistral-7B-Instruct-v0.3", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.16.4"} | {'accuracy': 0.58, 'accuracy_ci_low': 0.48, 'accuracy_ci_high': 0.671314794849194, 'score_name': 'accuracy', 'score': 0.58, 'score_ci_high': 0.671314794849194, 'score_ci_low': 0.48, 'num_of_instances': 100} | 1 | a100_80gb |
c2f057ae3fd7f16ee33860477bee8377422aa0ec35d219f6b7e4bd4aca074fda | 1,736,452,747,135 | 1,736,449,200,000 | mistralai_Mistral-7B-Instruct-v0.3 | cards.openbook_qa | card=cards.openbook_qa,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.OpenBookQA.MultipleChoiceTemplatesStructuredWithoutTopic.enumerator_lowercase_choicesSeparator_OrCapital_shuffleChoices_lengthSort,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 6.773003 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "mistralai/Mistral-7B-Instruct-v0.3", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.16.4"} | {'accuracy': 0.76, 'accuracy_ci_low': 0.67, 'accuracy_ci_high': 0.83, 'score_name': 'accuracy', 'score': 0.76, 'score_ci_high': 0.83, 'score_ci_low': 0.67, 'num_of_instances': 100} | 1 | a100_80gb |
ee5f600b76d4af8daf7d2acc69a353fd580d3500e184045ce77d0044fd6e8929 | 1,736,452,752,408 | 1,736,449,200,000 | mistralai_Mistral-7B-Instruct-v0.3 | cards.mmlu.high_school_physics | card=cards.mmlu.high_school_physics,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.MMLU.MultipleChoiceTemplatesInstructionsStateHere.enumerator_capitals_choicesSeparator_orLower_shuffleChoices_alphabeticalSortReverse,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 4.607615 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "mistralai/Mistral-7B-Instruct-v0.3", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.16.4"} | {'accuracy': 0.32, 'accuracy_ci_low': 0.23, 'accuracy_ci_high': 0.42, 'score_name': 'accuracy', 'score': 0.32, 'score_ci_high': 0.42, 'score_ci_low': 0.23, 'num_of_instances': 100} | 1 | a100_80gb |
729f808b9ab957d39744afe9974dc3d1b7c0499ddb32d20faeecd2fb3b511cb0 | 1,736,452,683,993 | 1,736,449,200,000 | mistralai_Mistral-7B-Instruct-v0.3 | cards.mmlu.abstract_algebra | card=cards.mmlu.abstract_algebra,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.MMLU.MultipleChoiceTemplatesInstructionsProSACould.enumerator_numbers_choicesSeparator_space_shuffleChoices_lengthSortReverse,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 4.125154 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "mistralai/Mistral-7B-Instruct-v0.3", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.16.4"} | {'accuracy': 0.29, 'accuracy_ci_low': 0.21, 'accuracy_ci_high': 0.39, 'score_name': 'accuracy', 'score': 0.29, 'score_ci_high': 0.39, 'score_ci_low': 0.21, 'num_of_instances': 100} | 1 | a100_80gb |
11a63a987c885fe8c5ac39eb9622abb2dc34c1e6f246eb7bba31f53740854cda | 1,736,452,727,461 | 1,736,449,200,000 | mistralai_Mistral-7B-Instruct-v0.3 | cards.mmlu.abstract_algebra | card=cards.mmlu.abstract_algebra,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MMLU.MultipleChoiceTemplatesInstructionsStateBelowPlease.enumerator_lowercase_choicesSeparator_comma_shuffleChoices_alphabeticalSort,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 6.96945 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "mistralai/Mistral-7B-Instruct-v0.3", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.16.4"} | {'accuracy': 0.32, 'accuracy_ci_low': 0.23, 'accuracy_ci_high': 0.42, 'score_name': 'accuracy', 'score': 0.32, 'score_ci_high': 0.42, 'score_ci_low': 0.23, 'num_of_instances': 100} | 1 | a100_80gb |
958df3fc75fda1e320b528e3b85baf26ba8adc7e7ebf87318bb14db03bab7af4 | 1,736,452,688,251 | 1,736,449,200,000 | mistralai_Mistral-7B-Instruct-v0.3 | cards.ai2_arc.arc_easy | card=cards.ai2_arc.arc_easy,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.AI2_ARC.MultipleChoiceTemplatesStructuredWithTopic.enumerator_capitals_choicesSeparator_pipe_shuffleChoices_alphabeticalSort,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 3.699016 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "mistralai/Mistral-7B-Instruct-v0.3", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.16.4"} | {'accuracy': 0.85, 'accuracy_ci_low': 0.76, 'accuracy_ci_high': 0.91, 'score_name': 'accuracy', 'score': 0.85, 'score_ci_high': 0.91, 'score_ci_low': 0.76, 'num_of_instances': 100} | 1 | a100_80gb |
9b6248afd2e6ede1d9e9305d32b55cae0b6663d09f4e72c5da3673584224e64f | 1,736,452,692,642 | 1,736,449,200,000 | mistralai_Mistral-7B-Instruct-v0.3 | cards.mmlu.college_biology | card=cards.mmlu.college_biology,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.MMLU.MultipleChoiceTemplatesInstructionsProSASimple.enumerator_roman_choicesSeparator_pipe_shuffleChoices_False,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 3.9275 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "mistralai/Mistral-7B-Instruct-v0.3", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.16.4"} | {'accuracy': 0.56, 'accuracy_ci_low': 0.46, 'accuracy_ci_high': 0.65, 'score_name': 'accuracy', 'score': 0.56, 'score_ci_high': 0.65, 'score_ci_low': 0.46, 'num_of_instances': 100} | 1 | a100_80gb |
e242a0dc4a323fd375bcd736218139965fbeed02ef031a95f3f6b213a8023c90 | 1,736,452,703,894 | 1,736,449,200,000 | mistralai_Mistral-7B-Instruct-v0.3 | cards.mmlu_pro.economics | card=cards.mmlu_pro.economics,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MMLU_PRO.MultipleChoiceTemplatesInstructionsWithoutTopicFixed.enumerator_roman_choicesSeparator_comma_shuffleChoices_lengthSortReverse,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 10.685167 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "mistralai/Mistral-7B-Instruct-v0.3", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.16.4"} | {'accuracy': 0.42, 'accuracy_ci_low': 0.3244104443237977, 'accuracy_ci_high': 0.5146955405919335, 'score_name': 'accuracy', 'score': 0.42, 'score_ci_high': 0.5146955405919335, 'score_ci_low': 0.3244104443237977, 'num_of_instances': 100} | 1 | a100_80gb |
1082a3077119aa08080fc4afc7f218bb93a1db84bfec09b855aaab945145a5ad | 1,736,452,709,171 | 1,736,449,200,000 | mistralai_Mistral-7B-Instruct-v0.3 | cards.mmlu.astronomy | card=cards.mmlu.astronomy,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.MMLU.MultipleChoiceTemplatesInstructionsStateHere.enumerator_lowercase_choicesSeparator_comma_shuffleChoices_alphabeticalSort,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 4.046937 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "mistralai/Mistral-7B-Instruct-v0.3", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.16.4"} | {'accuracy': 0.57, 'accuracy_ci_low': 0.47, 'accuracy_ci_high': 0.66, 'score_name': 'accuracy', 'score': 0.57, 'score_ci_high': 0.66, 'score_ci_low': 0.47, 'num_of_instances': 100} | 1 | a100_80gb |
79fa2a7acf53719097a42cfaddf7ca526bbe0c5bf0b75ec5c94f8a9b757725d5 | 1,736,452,713,003 | 1,736,449,200,000 | mistralai_Mistral-7B-Instruct-v0.3 | cards.mmlu.high_school_macroeconomics | card=cards.mmlu.high_school_macroeconomics,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.MMLU.MultipleChoiceTemplatesInstructionsWithoutTopicFixed.enumerator_keyboard_choicesSeparator_newline_shuffleChoices_False,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 3.200396 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "mistralai/Mistral-7B-Instruct-v0.3", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.16.4"} | {'accuracy': 0.47, 'accuracy_ci_low': 0.37, 'accuracy_ci_high': 0.57, 'score_name': 'accuracy', 'score': 0.47, 'score_ci_high': 0.57, 'score_ci_low': 0.37, 'num_of_instances': 100} | 1 | a100_80gb |
8d249087908c559b10dd5807cf2638f958c23bce256f8bf6e738fb9ecb31d723 | 1,736,452,719,148 | 1,736,449,200,000 | mistralai_Mistral-7B-Instruct-v0.3 | cards.mmlu.virology | card=cards.mmlu.virology,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MMLU.MultipleChoiceTemplatesInstructionsProSAAddress.enumerator_capitals_choicesSeparator_OrCapital_shuffleChoices_placeCorrectChoiceFourth,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 5.585423 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "mistralai/Mistral-7B-Instruct-v0.3", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.16.4"} | {'accuracy': 0.45, 'accuracy_ci_low': 0.35, 'accuracy_ci_high': 0.55, 'score_name': 'accuracy', 'score': 0.45, 'score_ci_high': 0.55, 'score_ci_low': 0.35, 'num_of_instances': 100} | 1 | a100_80gb |
d0a8c0c14512cf08f1a3844121eca456d8d42d4c1a1339275fbfba992082b2aa | 1,736,452,738,004 | 1,736,449,200,000 | mistralai_Mistral-7B-Instruct-v0.3 | cards.mmlu.nutrition | card=cards.mmlu.nutrition,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MMLU.MultipleChoiceTemplatesInstructionsStateHere.enumerator_roman_choicesSeparator_pipe_shuffleChoices_alphabeticalSortReverse,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 9.693968 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "mistralai/Mistral-7B-Instruct-v0.3", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.16.4"} | {'accuracy': 0.69, 'accuracy_ci_low': 0.6, 'accuracy_ci_high': 0.78, 'score_name': 'accuracy', 'score': 0.69, 'score_ci_high': 0.78, 'score_ci_low': 0.6, 'num_of_instances': 100} | 1 | a100_80gb |
dfaad4f7efe597dae4d839668a8418e395210a295336315ec4dd5fb2b4509bae | 1,736,452,750,726 | 1,736,449,200,000 | mistralai_Mistral-7B-Instruct-v0.3 | cards.mmlu_pro.biology | card=cards.mmlu_pro.biology,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MMLU_PRO.MultipleChoiceTemplatesInstructionsWithTopic.enumerator_lowercase_choicesSeparator_newline_shuffleChoices_lengthSort,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 11.676182 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "mistralai/Mistral-7B-Instruct-v0.3", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.16.4"} | {'accuracy': 0.53, 'accuracy_ci_low': 0.43, 'accuracy_ci_high': 0.63, 'score_name': 'accuracy', 'score': 0.53, 'score_ci_high': 0.63, 'score_ci_low': 0.43, 'num_of_instances': 100} | 1 | a100_80gb |
7a35d30a7dddc72f081542ebfd461ffa6f7110beea73db280c5db7accbb0a0a2 | 1,736,452,696,287 | 1,736,449,200,000 | mistralai_Mistral-7B-Instruct-v0.3 | cards.mmlu_pro.other | card=cards.mmlu_pro.other,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.MMLU_PRO.MultipleChoiceTemplatesInstructionsWithoutTopicFixed.enumerator_roman_choicesSeparator_orLower_shuffleChoices_lengthSortReverse,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 4.63024 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "mistralai/Mistral-7B-Instruct-v0.3", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.16.4"} | {'accuracy': 0.24, 'accuracy_ci_low': 0.16, 'accuracy_ci_high': 0.33, 'score_name': 'accuracy', 'score': 0.24, 'score_ci_high': 0.33, 'score_ci_low': 0.16, 'num_of_instances': 100} | 1 | a100_80gb |
49ebe3c4475ac37e70e7a205551f8f5e93b877fdd439c38bf054a469449b0d22 | 1,736,452,702,228 | 1,736,449,200,000 | mistralai_Mistral-7B-Instruct-v0.3 | cards.mmlu_pro.biology | card=cards.mmlu_pro.biology,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.MMLU_PRO.MultipleChoiceTemplatesInstructionsStateBelow.enumerator_roman_choicesSeparator_space_shuffleChoices_alphabeticalSortReverse,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 5.205208 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "mistralai/Mistral-7B-Instruct-v0.3", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.16.4"} | {'accuracy': 0.46, 'accuracy_ci_low': 0.37, 'accuracy_ci_high': 0.56, 'score_name': 'accuracy', 'score': 0.46, 'score_ci_high': 0.56, 'score_ci_low': 0.37, 'num_of_instances': 100} | 1 | a100_80gb |
806536ac52a4d61b3218ea78625595f18aeb9d554dcd724fa364972d7278cf12 | 1,736,452,711,688 | 1,736,449,200,000 | mistralai_Mistral-7B-Instruct-v0.3 | cards.mmlu.astronomy | card=cards.mmlu.astronomy,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MMLU.MultipleChoiceTemplatesInstructionsProSACould.enumerator_roman_choicesSeparator_orLower_shuffleChoices_False,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 8.613231 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "mistralai/Mistral-7B-Instruct-v0.3", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.16.4"} | {'accuracy': 0.63, 'accuracy_ci_low': 0.53, 'accuracy_ci_high': 0.72, 'score_name': 'accuracy', 'score': 0.63, 'score_ci_high': 0.72, 'score_ci_low': 0.53, 'num_of_instances': 100} | 1 | a100_80gb |
e5151b09849e42ddc817854481f0d8a33d7ee1ce6fceded87017a9d442a09a96 | 1,736,452,720,690 | 1,736,449,200,000 | mistralai_Mistral-7B-Instruct-v0.3 | cards.mmlu.public_relations | card=cards.mmlu.public_relations,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MMLU.MultipleChoiceTemplatesInstructionsStateHere.enumerator_numbers_choicesSeparator_semicolon_shuffleChoices_alphabeticalSortReverse,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 7.555483 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "mistralai/Mistral-7B-Instruct-v0.3", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.16.4"} | {'accuracy': 0.6, 'accuracy_ci_low': 0.5, 'accuracy_ci_high': 0.69, 'score_name': 'accuracy', 'score': 0.6, 'score_ci_high': 0.69, 'score_ci_low': 0.5, 'num_of_instances': 100} | 1 | a100_80gb |
5843ecfda071db28a30493ecdda3476596ed0dc7a6f4d77bae25bdbf67ef83c5 | 1,736,452,724,989 | 1,736,449,200,000 | mistralai_Mistral-7B-Instruct-v0.3 | cards.mmlu.high_school_macroeconomics | card=cards.mmlu.high_school_macroeconomics,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.MMLU.MultipleChoiceTemplatesInstructionsProSAAddress.enumerator_numbers_choicesSeparator_OrCapital_shuffleChoices_placeCorrectChoiceFourth,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 3.468716 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "mistralai/Mistral-7B-Instruct-v0.3", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.16.4"} | {'accuracy': 0.38, 'accuracy_ci_low': 0.29, 'accuracy_ci_high': 0.47, 'score_name': 'accuracy', 'score': 0.38, 'score_ci_high': 0.47, 'score_ci_low': 0.29, 'num_of_instances': 100} | 1 | a100_80gb |
e25d4bf4211a0edf0cde2a5c0dcc579069996d602d71f8bda0c8e7933e6a30d3 | 1,736,452,733,949 | 1,736,449,200,000 | mistralai_Mistral-7B-Instruct-v0.3 | cards.mmlu.college_chemistry | card=cards.mmlu.college_chemistry,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MMLU.MultipleChoiceTemplatesInstructionsProSASimple.enumerator_greek_choicesSeparator_newline_shuffleChoices_lengthSort,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 8.371351 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "mistralai/Mistral-7B-Instruct-v0.3", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.16.4"} | {'accuracy': 0.44, 'accuracy_ci_low': 0.35, 'accuracy_ci_high': 0.5375448194455783, 'score_name': 'accuracy', 'score': 0.44, 'score_ci_high': 0.5375448194455783, 'score_ci_low': 0.35, 'num_of_instances': 100} | 1 | a100_80gb |
41534b3b77ca53803f223aa996f9e09ef472cc863d91c740b15b8b2bcff7b592 | 1,736,452,738,474 | 1,736,449,200,000 | mistralai_Mistral-7B-Instruct-v0.3 | cards.mmlu.abstract_algebra | card=cards.mmlu.abstract_algebra,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.MMLU.MultipleChoiceTemplatesStructuredWithoutTopic.enumerator_greek_choicesSeparator_space_shuffleChoices_lengthSort,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 3.635241 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "mistralai/Mistral-7B-Instruct-v0.3", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.16.4"} | {'accuracy': 0.19, 'accuracy_ci_low': 0.12, 'accuracy_ci_high': 0.27, 'score_name': 'accuracy', 'score': 0.19, 'score_ci_high': 0.27, 'score_ci_low': 0.12, 'num_of_instances': 100} | 1 | a100_80gb |
c2b73871a0ff634dc2ba9ac478eda6129a6d1af83e2d1f49285f87c11f9e722e | 1,736,452,746,968 | 1,736,449,200,000 | mistralai_Mistral-7B-Instruct-v0.3 | cards.mmlu.abstract_algebra | card=cards.mmlu.abstract_algebra,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.MMLU.MultipleChoiceTemplatesInstructionsStateBelowPlease.enumerator_lowercase_choicesSeparator_orLower_shuffleChoices_placeCorrectChoiceFourth,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 4.270524 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "mistralai/Mistral-7B-Instruct-v0.3", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.16.4"} | {'accuracy': 0.21, 'accuracy_ci_low': 0.14, 'accuracy_ci_high': 0.31, 'score_name': 'accuracy', 'score': 0.21, 'score_ci_high': 0.31, 'score_ci_low': 0.14, 'num_of_instances': 100} | 1 | a100_80gb |
7314bad16ec793903873a2e6697c57984e8e49bc55a1899c5f4d5666b7ee77ad | 1,736,452,742,184 | 1,736,449,200,000 | mistralai_Mistral-7B-Instruct-v0.3 | cards.mmlu.marketing | card=cards.mmlu.marketing,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.MMLU.MultipleChoiceTemplatesInstructionsProSASimple.enumerator_roman_choicesSeparator_pipe_shuffleChoices_False,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 3.172511 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "mistralai/Mistral-7B-Instruct-v0.3", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.16.4"} | {'accuracy': 0.63, 'accuracy_ci_low': 0.54, 'accuracy_ci_high': 0.73, 'score_name': 'accuracy', 'score': 0.63, 'score_ci_high': 0.73, 'score_ci_low': 0.54, 'num_of_instances': 100} | 1 | a100_80gb |
d663e25b6614df97eb69fcba819a0558eb2fd1bd3a83b7724b4fecfc0e0657b7 | 1,736,452,750,870 | 1,736,449,200,000 | mistralai_Mistral-7B-Instruct-v0.3 | cards.mmlu.anatomy | card=cards.mmlu.anatomy,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.MMLU.MultipleChoiceTemplatesStructuredWithoutTopic.enumerator_greek_choicesSeparator_semicolon_shuffleChoices_lengthSortReverse,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 3.375818 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "mistralai/Mistral-7B-Instruct-v0.3", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.16.4"} | {'accuracy': 0.47, 'accuracy_ci_low': 0.38, 'accuracy_ci_high': 0.57, 'score_name': 'accuracy', 'score': 0.47, 'score_ci_high': 0.57, 'score_ci_low': 0.38, 'num_of_instances': 100} | 1 | a100_80gb |
2146b09c34252bc90d533cdf373c2208db39ae4bf18078fcbc4c756820b39c2a | 1,736,452,686,642 | 1,736,449,200,000 | mistralai_Mistral-7B-Instruct-v0.3 | cards.mmlu.clinical_knowledge | card=cards.mmlu.clinical_knowledge,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.MMLU.MultipleChoiceTemplatesInstructionsStateBelow.enumerator_lowercase_choicesSeparator_newline_shuffleChoices_lengthSort,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 4.519318 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "mistralai/Mistral-7B-Instruct-v0.3", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.16.4"} | {'accuracy': 0.61, 'accuracy_ci_low': 0.51, 'accuracy_ci_high': 0.7, 'score_name': 'accuracy', 'score': 0.61, 'score_ci_high': 0.7, 'score_ci_low': 0.51, 'num_of_instances': 100} | 1 | a100_80gb |
262acb09ee5fcfffb35dd4cfaae4b91d89c22430df2bb9a3c95a2dbd9ca1c184 | 1,736,452,691,198 | 1,736,449,200,000 | mistralai_Mistral-7B-Instruct-v0.3 | cards.mmlu.abstract_algebra | card=cards.mmlu.abstract_algebra,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.MMLU.MultipleChoiceTemplatesInstructionsWithoutTopicFixed.enumerator_greek_choicesSeparator_semicolon_shuffleChoices_alphabeticalSort,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 3.861472 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "mistralai/Mistral-7B-Instruct-v0.3", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.16.4"} | {'accuracy': 0.26, 'accuracy_ci_low': 0.18, 'accuracy_ci_high': 0.35, 'score_name': 'accuracy', 'score': 0.26, 'score_ci_high': 0.35, 'score_ci_low': 0.18, 'num_of_instances': 100} | 1 | a100_80gb |
cd531f664aa45ae83eff643cdd79a78d6acd875ce868298162299d1e21c87a8e | 1,736,452,727,574 | 1,736,449,200,000 | mistralai_Mistral-7B-Instruct-v0.3 | cards.mmlu.abstract_algebra | card=cards.mmlu.abstract_algebra,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.MMLU.MultipleChoiceTemplatesInstructionsStateHere.enumerator_numbers_choicesSeparator_OrCapital_shuffleChoices_placeCorrectChoiceFourth,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 3.447599 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "mistralai/Mistral-7B-Instruct-v0.3", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.16.4"} | {'accuracy': 0.45, 'accuracy_ci_low': 0.35, 'accuracy_ci_high': 0.5584732912372409, 'score_name': 'accuracy', 'score': 0.45, 'score_ci_high': 0.5584732912372409, 'score_ci_low': 0.35, 'num_of_instances': 100} | 1 | a100_80gb |
7509c9a9aab0abf740b65282f3679ceda37d610f37d4c9c9cf49e4ef133830f3 | 1,736,452,747,856 | 1,736,449,200,000 | mistralai_Mistral-7B-Instruct-v0.3 | cards.mmlu.abstract_algebra | card=cards.mmlu.abstract_algebra,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MMLU.MultipleChoiceTemplatesInstructionsWithTopic.enumerator_lowercase_choicesSeparator_comma_shuffleChoices_lengthSort,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 7.034135 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "mistralai/Mistral-7B-Instruct-v0.3", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.16.4"} | {'accuracy': 0.29, 'accuracy_ci_low': 0.22, 'accuracy_ci_high': 0.38, 'score_name': 'accuracy', 'score': 0.29, 'score_ci_high': 0.38, 'score_ci_low': 0.22, 'num_of_instances': 100} | 1 | a100_80gb |
bb578d9b270f980547b900a2f7efb100b669c6cfb86e2c93cd4c89420e1b51f0 | 1,736,452,695,300 | 1,736,449,200,000 | mistralai_Mistral-7B-Instruct-v0.3 | cards.mmlu.machine_learning | card=cards.mmlu.machine_learning,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.MMLU.MultipleChoiceTemplatesInstructionsProSASimple.enumerator_keyboard_choicesSeparator_space_shuffleChoices_placeCorrectChoiceFirst,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 3.502488 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "mistralai/Mistral-7B-Instruct-v0.3", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.16.4"} | {'accuracy': 0.25, 'accuracy_ci_low': 0.18, 'accuracy_ci_high': 0.35, 'score_name': 'accuracy', 'score': 0.25, 'score_ci_high': 0.35, 'score_ci_low': 0.18, 'num_of_instances': 100} | 1 | a100_80gb |
bc7f1cd93b57522b8c27d569f693475ff56d24141d34e17fd2eebd97bfc2482a | 1,736,452,704,272 | 1,736,449,200,000 | mistralai_Mistral-7B-Instruct-v0.3 | cards.ai2_arc.arc_easy | card=cards.ai2_arc.arc_easy,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.AI2_ARC.MultipleChoiceTemplatesInstructionsStateBelow.enumerator_greek_choicesSeparator_pipe_shuffleChoices_placeCorrectChoiceFirst,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 8.35314 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "mistralai/Mistral-7B-Instruct-v0.3", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.16.4"} | {'accuracy': 0.87, 'accuracy_ci_low': 0.79, 'accuracy_ci_high': 0.93, 'score_name': 'accuracy', 'score': 0.87, 'score_ci_high': 0.93, 'score_ci_low': 0.79, 'num_of_instances': 100} | 1 | a100_80gb |
f9126b72f63de7b55a98b9d21b9fc8962d54ad5d25efc2857d8ec672f1244dd5 | 1,736,452,714,092 | 1,736,449,200,000 | mistralai_Mistral-7B-Instruct-v0.3 | cards.mmlu.professional_psychology | card=cards.mmlu.professional_psychology,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MMLU.MultipleChoiceTemplatesInstructionsProSACould.enumerator_roman_choicesSeparator_comma_shuffleChoices_lengthSort,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 8.946639 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "mistralai/Mistral-7B-Instruct-v0.3", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.16.4"} | {'accuracy': 0.58, 'accuracy_ci_low': 0.47, 'accuracy_ci_high': 0.67, 'score_name': 'accuracy', 'score': 0.58, 'score_ci_high': 0.67, 'score_ci_low': 0.47, 'num_of_instances': 100} | 1 | a100_80gb |
a2bf02a8bf348108b3e20157699e56b11633a3b2af6e7ff44c7a74a9b8a95448 | 1,736,452,718,786 | 1,736,449,200,000 | mistralai_Mistral-7B-Instruct-v0.3 | cards.mmlu.high_school_government_and_politics | card=cards.mmlu.high_school_government_and_politics,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.MMLU.MultipleChoiceTemplatesInstructionsStateBelowPlease.enumerator_numbers_choicesSeparator_newline_shuffleChoices_alphabeticalSortReverse,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 3.567575 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "mistralai/Mistral-7B-Instruct-v0.3", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.16.4"} | {'accuracy': 0.82, 'accuracy_ci_low': 0.74, 'accuracy_ci_high': 0.89, 'score_name': 'accuracy', 'score': 0.82, 'score_ci_high': 0.89, 'score_ci_low': 0.74, 'num_of_instances': 100} | 1 | a100_80gb |
cf64e026f416d6f951f081db8b63f0ff690ad2714e991412675b314a07983bdb | 1,736,452,723,506 | 1,736,449,200,000 | mistralai_Mistral-7B-Instruct-v0.3 | cards.mmlu.college_mathematics | card=cards.mmlu.college_mathematics,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.MMLU.MultipleChoiceTemplatesInstructionsStateHere.enumerator_lowercase_choicesSeparator_space_shuffleChoices_False,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 4.056798 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "mistralai/Mistral-7B-Instruct-v0.3", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.16.4"} | {'accuracy': 0.28, 'accuracy_ci_low': 0.2, 'accuracy_ci_high': 0.37, 'score_name': 'accuracy', 'score': 0.28, 'score_ci_high': 0.37, 'score_ci_low': 0.2, 'num_of_instances': 100} | 1 | a100_80gb |
316f29b0d06bc140e5b1a5e824f8ead898a8875410294a9d188b8fbbc638706c | 1,736,452,739,522 | 1,736,449,200,000 | mistralai_Mistral-7B-Instruct-v0.3 | cards.mmlu.high_school_statistics | card=cards.mmlu.high_school_statistics,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MMLU.MultipleChoiceTemplatesInstructionsWithoutTopicFixed.enumerator_roman_choicesSeparator_pipe_shuffleChoices_lengthSortReverse,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 11.330147 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "mistralai/Mistral-7B-Instruct-v0.3", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.16.4"} | {'accuracy': 0.4, 'accuracy_ci_low': 0.3, 'accuracy_ci_high': 0.49, 'score_name': 'accuracy', 'score': 0.4, 'score_ci_high': 0.49, 'score_ci_low': 0.3, 'num_of_instances': 100} | 1 | a100_80gb |
a6265ec405fba58907791b5ea40630041436775ff0be8f47fb0908c2563f4cc1 | 1,736,452,691,172 | 1,736,449,200,000 | mistralai_Mistral-7B-Instruct-v0.3 | cards.mmlu.moral_scenarios | card=cards.mmlu.moral_scenarios,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.MMLU.MultipleChoiceTemplatesInstructionsProSACould.enumerator_lowercase_choicesSeparator_OrCapital_shuffleChoices_placeCorrectChoiceFirst,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 4.486525 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "mistralai/Mistral-7B-Instruct-v0.3", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.16.4"} | {'accuracy': 0.17, 'accuracy_ci_low': 0.1, 'accuracy_ci_high': 0.25, 'score_name': 'accuracy', 'score': 0.17, 'score_ci_high': 0.25, 'score_ci_low': 0.1, 'num_of_instances': 100} | 1 | a100_80gb |
b76a2d81c5d7ba09f96aeffcdf950afd466e9e145b6d9f0d7265342367ff6590 | 1,736,452,707,878 | 1,736,449,200,000 | mistralai_Mistral-7B-Instruct-v0.3 | cards.mmlu.moral_scenarios | card=cards.mmlu.moral_scenarios,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.MMLU.MultipleChoiceTemplatesStructuredWithTopic.enumerator_roman_choicesSeparator_pipe_shuffleChoices_alphabeticalSortReverse,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 3.27982 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "mistralai/Mistral-7B-Instruct-v0.3", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.16.4"} | {'accuracy': 0.27, 'accuracy_ci_low': 0.19, 'accuracy_ci_high': 0.35, 'score_name': 'accuracy', 'score': 0.27, 'score_ci_high': 0.35, 'score_ci_low': 0.19, 'num_of_instances': 100} | 1 | a100_80gb |
51595a482d3641cec52080f3003c6bf572bd8a242aff53f2857916685b1eacac | 1,736,452,695,692 | 1,736,449,200,000 | mistralai_Mistral-7B-Instruct-v0.3 | cards.mmlu.college_physics | card=cards.mmlu.college_physics,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.MMLU.MultipleChoiceTemplatesInstructionsProSASimple.enumerator_roman_choicesSeparator_semicolon_shuffleChoices_alphabeticalSortReverse,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 3.917148 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "mistralai/Mistral-7B-Instruct-v0.3", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.16.4"} | {'accuracy': 0.28, 'accuracy_ci_low': 0.19, 'accuracy_ci_high': 0.36, 'score_name': 'accuracy', 'score': 0.28, 'score_ci_high': 0.36, 'score_ci_low': 0.19, 'num_of_instances': 100} | 1 | a100_80gb |
cc7c449d48ea63748ef9cca844d5eed4b723cdf5bc89255a41f7662e0d20cd11 | 1,736,452,728,797 | 1,736,449,200,000 | mistralai_Mistral-7B-Instruct-v0.3 | cards.mmlu.college_physics | card=cards.mmlu.college_physics,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.MMLU.MultipleChoiceTemplatesInstructionsWithoutTopicHelmFixed.enumerator_roman_choicesSeparator_OrCapital_shuffleChoices_lengthSortReverse,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 3.403411 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "mistralai/Mistral-7B-Instruct-v0.3", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.16.4"} | {'accuracy': 0.24, 'accuracy_ci_low': 0.16665716236571526, 'accuracy_ci_high': 0.33, 'score_name': 'accuracy', 'score': 0.24, 'score_ci_high': 0.33, 'score_ci_low': 0.16665716236571526, 'num_of_instances': 100} | 1 | a100_80gb |
5d4b18d70cf999b9938d6e96ecf9123c314b918b5f63b635655dfe8cd0238219 | 1,736,452,703,321 | 1,736,449,200,000 | mistralai_Mistral-7B-Instruct-v0.3 | cards.mmlu.high_school_microeconomics | card=cards.mmlu.high_school_microeconomics,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MMLU.MultipleChoiceTemplatesInstructionsStateBelow.enumerator_roman_choicesSeparator_semicolon_shuffleChoices_placeCorrectChoiceFourth,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 7.092148 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "mistralai/Mistral-7B-Instruct-v0.3", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.16.4"} | {'accuracy': 0.44, 'accuracy_ci_low': 0.34, 'accuracy_ci_high': 0.54, 'score_name': 'accuracy', 'score': 0.44, 'score_ci_high': 0.54, 'score_ci_low': 0.34, 'num_of_instances': 100} | 1 | a100_80gb |
050d8696ee2683ef4efde4d510c77e3a5c7675e96f422e4432ef6685d79c68f9 | 1,736,452,719,474 | 1,736,449,200,000 | mistralai_Mistral-7B-Instruct-v0.3 | cards.mmlu_pro.business | card=cards.mmlu_pro.business,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MMLU_PRO.MultipleChoiceTemplatesInstructionsProSAAddress.enumerator_numbers_choicesSeparator_pipe_shuffleChoices_alphabeticalSort,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 11.100986 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "mistralai/Mistral-7B-Instruct-v0.3", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.16.4"} | {'accuracy': 0.21, 'accuracy_ci_low': 0.13, 'accuracy_ci_high': 0.3, 'score_name': 'accuracy', 'score': 0.21, 'score_ci_high': 0.3, 'score_ci_low': 0.13, 'num_of_instances': 100} | 1 | a100_80gb |
55efde21315434f1e4b24bdf061ff2bdd43e9e8cabf3267e7cc73d0935f7a466 | 1,736,452,724,740 | 1,736,449,200,000 | mistralai_Mistral-7B-Instruct-v0.3 | cards.mmlu.international_law | card=cards.mmlu.international_law,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.MMLU.MultipleChoiceTemplatesStructuredWithTopic.enumerator_lowercase_choicesSeparator_semicolon_shuffleChoices_alphabeticalSort,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 4.119699 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "mistralai/Mistral-7B-Instruct-v0.3", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.16.4"} | {'accuracy': 0.7, 'accuracy_ci_low': 0.6, 'accuracy_ci_high': 0.78, 'score_name': 'accuracy', 'score': 0.7, 'score_ci_high': 0.78, 'score_ci_low': 0.6, 'num_of_instances': 100} | 1 | a100_80gb |
e6d44852ee960b16fe7f6739c5c93616e8ae3cb5e6ac5c2b8085401110cf3f67 | 1,736,452,732,598 | 1,736,449,200,000 | mistralai_Mistral-7B-Instruct-v0.3 | cards.mmlu.medical_genetics | card=cards.mmlu.medical_genetics,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.MMLU.MultipleChoiceTemplatesInstructionsStateBelow.enumerator_capitals_choicesSeparator_space_shuffleChoices_alphabeticalSortReverse,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 3.255639 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "mistralai/Mistral-7B-Instruct-v0.3", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.16.4"} | {'accuracy': 0.6, 'accuracy_ci_low': 0.51, 'accuracy_ci_high': 0.69, 'score_name': 'accuracy', 'score': 0.6, 'score_ci_high': 0.69, 'score_ci_low': 0.51, 'num_of_instances': 100} | 1 | a100_80gb |
2515402635857a9f89f26941774907a0d5988185e7bfd3daee8b6a7d36f76872 | 1,736,452,736,708 | 1,736,449,200,000 | mistralai_Mistral-7B-Instruct-v0.3 | cards.mmlu.college_chemistry | card=cards.mmlu.college_chemistry,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.MMLU.MultipleChoiceTemplatesInstructionsWithTopic.enumerator_keyboard_choicesSeparator_newline_shuffleChoices_placeCorrectChoiceFirst,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 3.57921 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "mistralai/Mistral-7B-Instruct-v0.3", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.16.4"} | {'accuracy': 0.28, 'accuracy_ci_low': 0.2, 'accuracy_ci_high': 0.38, 'score_name': 'accuracy', 'score': 0.28, 'score_ci_high': 0.38, 'score_ci_low': 0.2, 'num_of_instances': 100} | 1 | a100_80gb |
74325401af8f5fdc31acdceae856c96658da58817c11ca0f7cbf72054c5fde2d | 1,736,452,741,213 | 1,736,449,200,000 | mistralai_Mistral-7B-Instruct-v0.3 | cards.mmlu.nutrition | card=cards.mmlu.nutrition,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.MMLU.MultipleChoiceTemplatesInstructionsWithTopic.enumerator_capitals_choicesSeparator_semicolon_shuffleChoices_alphabeticalSort,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 3.949434 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "mistralai/Mistral-7B-Instruct-v0.3", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.16.4"} | {'accuracy': 0.63, 'accuracy_ci_low': 0.53, 'accuracy_ci_high': 0.73, 'score_name': 'accuracy', 'score': 0.63, 'score_ci_high': 0.73, 'score_ci_low': 0.53, 'num_of_instances': 100} | 1 | a100_80gb |
114acd59a6d0a7663b44b27c3476d1ed163fe05c850bd951bd4212a2de268833 | 1,736,452,675,714 | 1,736,449,200,000 | mistralai_Mistral-7B-Instruct-v0.3 | cards.mmlu.high_school_macroeconomics | card=cards.mmlu.high_school_macroeconomics,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MMLU.MultipleChoiceTemplatesInstructionsProSASimple.enumerator_keyboard_choicesSeparator_pipe_shuffleChoices_False,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 6.270087 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "mistralai/Mistral-7B-Instruct-v0.3", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.16.4"} | {'accuracy': 0.53, 'accuracy_ci_low': 0.43, 'accuracy_ci_high': 0.62, 'score_name': 'accuracy', 'score': 0.53, 'score_ci_high': 0.62, 'score_ci_low': 0.43, 'num_of_instances': 100} | 1 | a100_80gb |
a965027668c16ea33a15967d6532e2cf2f42a6d2dce312872029c5392c0b3a6d | 1,736,452,680,151 | 1,736,449,200,000 | mistralai_Mistral-7B-Instruct-v0.3 | cards.mmlu.abstract_algebra | card=cards.mmlu.abstract_algebra,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.MMLU.MultipleChoiceTemplatesInstructionsProSAAddress.enumerator_lowercase_choicesSeparator_newline_shuffleChoices_False,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 3.299692 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "mistralai/Mistral-7B-Instruct-v0.3", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.16.4"} | {'accuracy': 0.24, 'accuracy_ci_low': 0.17, 'accuracy_ci_high': 0.33, 'score_name': 'accuracy', 'score': 0.24, 'score_ci_high': 0.33, 'score_ci_low': 0.17, 'num_of_instances': 100} | 1 | a100_80gb |
2b6685e483559573c4716bb726c57387bb1e070c2830c39da9337d45cb29b12e | 1,736,452,687,242 | 1,736,449,200,000 | mistralai_Mistral-7B-Instruct-v0.3 | cards.mmlu.global_facts | card=cards.mmlu.global_facts,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MMLU.MultipleChoiceTemplatesInstructionsWithoutTopicHarness.enumerator_roman_choicesSeparator_semicolon_shuffleChoices_alphabeticalSort,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 6.56727 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "mistralai/Mistral-7B-Instruct-v0.3", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.16.4"} | {'accuracy': 0.31, 'accuracy_ci_low': 0.22, 'accuracy_ci_high': 0.4, 'score_name': 'accuracy', 'score': 0.31, 'score_ci_high': 0.4, 'score_ci_low': 0.22, 'num_of_instances': 100} | 1 | a100_80gb |
1c44e03bbcc6b8aba249f415013e1532927579b0231883fa24f531f790d0ccde | 1,736,452,691,634 | 1,736,449,200,000 | mistralai_Mistral-7B-Instruct-v0.3 | cards.mmlu.international_law | card=cards.mmlu.international_law,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.MMLU.MultipleChoiceTemplatesInstructionsWithoutTopicHelmFixed.enumerator_greek_choicesSeparator_semicolon_shuffleChoices_alphabeticalSortReverse,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 3.680202 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "mistralai/Mistral-7B-Instruct-v0.3", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.16.4"} | {'accuracy': 0.68, 'accuracy_ci_low': 0.58, 'accuracy_ci_high': 0.76, 'score_name': 'accuracy', 'score': 0.68, 'score_ci_high': 0.76, 'score_ci_low': 0.58, 'num_of_instances': 100} | 1 | a100_80gb |
a2fd7dfa9f5128e79773ef90f7c762f9d3c550cccd5e462c2f62cbcb3dbbcecb | 1,736,452,697,970 | 1,736,449,200,000 | mistralai_Mistral-7B-Instruct-v0.3 | cards.mmlu_pro.philosophy | card=cards.mmlu_pro.philosophy,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.MMLU_PRO.MultipleChoiceTemplatesInstructionsStateBelow.enumerator_numbers_choicesSeparator_OrCapital_shuffleChoices_alphabeticalSortReverse,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 5.665897 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "mistralai/Mistral-7B-Instruct-v0.3", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.16.4"} | {'accuracy': 0.29, 'accuracy_ci_low': 0.2, 'accuracy_ci_high': 0.38, 'score_name': 'accuracy', 'score': 0.29, 'score_ci_high': 0.38, 'score_ci_low': 0.2, 'num_of_instances': 100} | 1 | a100_80gb |
55a4206ad91630c48287554919874aa5fbf6ce9b50eef37636470f7353103be7 | 1,736,452,702,320 | 1,736,449,200,000 | mistralai_Mistral-7B-Instruct-v0.3 | cards.mmlu.college_chemistry | card=cards.mmlu.college_chemistry,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.MMLU.MultipleChoiceTemplatesInstructionsWithTopicHelm.enumerator_greek_choicesSeparator_orLower_shuffleChoices_alphabeticalSort,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 3.599807 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "mistralai/Mistral-7B-Instruct-v0.3", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.16.4"} | {'accuracy': 0.41, 'accuracy_ci_low': 0.31, 'accuracy_ci_high': 0.51, 'score_name': 'accuracy', 'score': 0.41, 'score_ci_high': 0.51, 'score_ci_low': 0.31, 'num_of_instances': 100} | 1 | a100_80gb |
b97b6bb278f860866e6d894e99fe848cf95d4eda2ab3ce329951d2933b50cfc6 | 1,736,452,711,915 | 1,736,449,200,000 | mistralai_Mistral-7B-Instruct-v0.3 | cards.ai2_arc.arc_challenge | card=cards.ai2_arc.arc_challenge,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.AI2_ARC.MultipleChoiceTemplatesInstructionsStateBelow.enumerator_numbers_choicesSeparator_OrCapital_shuffleChoices_placeCorrectChoiceFourth,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 9.023024 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "mistralai/Mistral-7B-Instruct-v0.3", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.16.4"} | {'accuracy': 0.72, 'accuracy_ci_low': 0.62, 'accuracy_ci_high': 0.8, 'score_name': 'accuracy', 'score': 0.72, 'score_ci_high': 0.8, 'score_ci_low': 0.62, 'num_of_instances': 100} | 1 | a100_80gb |
cfaf6cdd783224a889b521717cc2d85ad7ea08698364e1542cbd8eef5f1ead28 | 1,736,452,720,557 | 1,736,449,200,000 | mistralai_Mistral-7B-Instruct-v0.3 | cards.mmlu.elementary_mathematics | card=cards.mmlu.elementary_mathematics,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MMLU.MultipleChoiceTemplatesInstructionsWithTopicHelm.enumerator_capitals_choicesSeparator_space_shuffleChoices_lengthSortReverse,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 7.798741 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "mistralai/Mistral-7B-Instruct-v0.3", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.16.4"} | {'accuracy': 0.41, 'accuracy_ci_low': 0.312789879850247, 'accuracy_ci_high': 0.51, 'score_name': 'accuracy', 'score': 0.41, 'score_ci_high': 0.51, 'score_ci_low': 0.312789879850247, 'num_of_instances': 100} | 1 | a100_80gb |
cb87046630b96cc7a4d7b9be9b27e60d09fab632ded06521e87eb9d7b88875c5 | 1,736,452,728,564 | 1,736,449,200,000 | mistralai_Mistral-7B-Instruct-v0.3 | cards.openbook_qa | card=cards.openbook_qa,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.OpenBookQA.MultipleChoiceTemplatesStructuredWithTopic.enumerator_keyboard_choicesSeparator_comma_shuffleChoices_placeCorrectChoiceFirst,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 6.515749 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "mistralai/Mistral-7B-Instruct-v0.3", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.16.4"} | {'accuracy': 0.85, 'accuracy_ci_low': 0.77, 'accuracy_ci_high': 0.91, 'score_name': 'accuracy', 'score': 0.85, 'score_ci_high': 0.91, 'score_ci_low': 0.77, 'num_of_instances': 100} | 1 | a100_80gb |
cb8372b82bd06f470995a1d3f0cc5261222a0ada2c76a76387f5b77972c38133 | 1,736,452,740,329 | 1,736,449,200,000 | mistralai_Mistral-7B-Instruct-v0.3 | cards.mmlu.college_computer_science | card=cards.mmlu.college_computer_science,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MMLU.MultipleChoiceTemplatesInstructionsStateBelowPlease.enumerator_greek_choicesSeparator_orLower_shuffleChoices_lengthSort,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 11.081969 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "mistralai/Mistral-7B-Instruct-v0.3", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.16.4"} | {'accuracy': 0.5, 'accuracy_ci_low': 0.4, 'accuracy_ci_high': 0.6, 'score_name': 'accuracy', 'score': 0.5, 'score_ci_high': 0.6, 'score_ci_low': 0.4, 'num_of_instances': 100} | 1 | a100_80gb |
2513898c59b651fa036ed9d21e490a61a1f5508ee23a2ad6c85fc0935bab1428 | 1,736,452,667,277 | 1,736,449,200,000 | mistralai_Mistral-7B-Instruct-v0.3 | cards.mmlu_pro.engineering | card=cards.mmlu_pro.engineering,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.MMLU_PRO.MultipleChoiceTemplatesInstructionsProSASimple.enumerator_keyboard_choicesSeparator_OrCapital_shuffleChoices_False,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 6.186918 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "mistralai/Mistral-7B-Instruct-v0.3", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.16.4"} | {'accuracy': 0.11, 'accuracy_ci_low': 0.06, 'accuracy_ci_high': 0.18, 'score_name': 'accuracy', 'score': 0.11, 'score_ci_high': 0.18, 'score_ci_low': 0.06, 'num_of_instances': 100} | 1 | a100_80gb |
bb2baff4b7f343996fc866c4a124afb7a34ce30bda6d475b25b2e61c892fb5ca | 1,736,452,672,289 | 1,736,449,200,000 | mistralai_Mistral-7B-Instruct-v0.3 | cards.mmlu.philosophy | card=cards.mmlu.philosophy,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.MMLU.MultipleChoiceTemplatesInstructionsProSACould.enumerator_lowercase_choicesSeparator_space_shuffleChoices_alphabeticalSort,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 4.289116 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "mistralai/Mistral-7B-Instruct-v0.3", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.16.4"} | {'accuracy': 0.41, 'accuracy_ci_low': 0.32, 'accuracy_ci_high': 0.5, 'score_name': 'accuracy', 'score': 0.41, 'score_ci_high': 0.5, 'score_ci_low': 0.32, 'num_of_instances': 100} | 1 | a100_80gb |
29a201d57f72b4f1d48fdf6f9a4a922b1498a0040efd7fd1092c14aad03baa87 | 1,736,452,676,057 | 1,736,449,200,000 | mistralai_Mistral-7B-Instruct-v0.3 | cards.mmlu.medical_genetics | card=cards.mmlu.medical_genetics,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.MMLU.MultipleChoiceTemplatesInstructionsProSASimple.enumerator_capitals_choicesSeparator_orLower_shuffleChoices_False,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 3.207794 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "mistralai/Mistral-7B-Instruct-v0.3", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.16.4"} | {'accuracy': 0.56, 'accuracy_ci_low': 0.4609702326562014, 'accuracy_ci_high': 0.66, 'score_name': 'accuracy', 'score': 0.56, 'score_ci_high': 0.66, 'score_ci_low': 0.4609702326562014, 'num_of_instances': 100} | 1 | a100_80gb |
6484ec0f99d049994e6bbfb1f192893990e37094796d26b6c6d99d3166de8f5e | 1,736,452,680,024 | 1,736,449,200,000 | mistralai_Mistral-7B-Instruct-v0.3 | cards.mmlu.human_sexuality | card=cards.mmlu.human_sexuality,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.MMLU.MultipleChoiceTemplatesInstructionsStateBelow.enumerator_greek_choicesSeparator_newline_shuffleChoices_alphabeticalSort,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 3.436759 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "mistralai/Mistral-7B-Instruct-v0.3", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.16.4"} | {'accuracy': 0.51, 'accuracy_ci_low': 0.42, 'accuracy_ci_high': 0.61, 'score_name': 'accuracy', 'score': 0.51, 'score_ci_high': 0.61, 'score_ci_low': 0.42, 'num_of_instances': 100} | 1 | a100_80gb |
760bbc7c5a75aeb050fcca40bf54a89a73bde57a25345c4b3f4d6c5ba676d42e | 1,736,452,709,998 | 1,736,449,200,000 | mistralai_Mistral-7B-Instruct-v0.3 | cards.mmlu.high_school_european_history | card=cards.mmlu.high_school_european_history,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MMLU.MultipleChoiceTemplatesInstructionsWithTopic.enumerator_greek_choicesSeparator_space_shuffleChoices_False,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 29.05975 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "mistralai/Mistral-7B-Instruct-v0.3", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.16.4"} | {'accuracy': 0.68, 'accuracy_ci_low': 0.58, 'accuracy_ci_high': 0.7656509685387971, 'score_name': 'accuracy', 'score': 0.68, 'score_ci_high': 0.7656509685387971, 'score_ci_low': 0.58, 'num_of_instances': 100} | 1 | a100_80gb |
6954b70b66612876f3d7a6a895cfe585092a74b47e1801009cb60c814a6564e3 | 1,736,452,720,455 | 1,736,449,200,000 | mistralai_Mistral-7B-Instruct-v0.3 | cards.mmlu.clinical_knowledge | card=cards.mmlu.clinical_knowledge,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MMLU.MultipleChoiceTemplatesInstructionsProSASimple.enumerator_lowercase_choicesSeparator_OrCapital_shuffleChoices_False,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 7.191347 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "mistralai/Mistral-7B-Instruct-v0.3", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.16.4"} | {'accuracy': 0.67, 'accuracy_ci_low': 0.58, 'accuracy_ci_high': 0.77, 'score_name': 'accuracy', 'score': 0.67, 'score_ci_high': 0.77, 'score_ci_low': 0.58, 'num_of_instances': 100} | 1 | a100_80gb |
487a4355cad3ccceb8c2a566f6296a72aedf8d970dc33c8f1fc0fbfb30a1a7a9 | 1,736,452,724,996 | 1,736,449,200,000 | mistralai_Mistral-7B-Instruct-v0.3 | cards.mmlu.high_school_statistics | card=cards.mmlu.high_school_statistics,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.MMLU.MultipleChoiceTemplatesInstructionsProSACould.enumerator_keyboard_choicesSeparator_OrCapital_shuffleChoices_lengthSort,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 3.761078 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "mistralai/Mistral-7B-Instruct-v0.3", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.16.4"} | {'accuracy': 0.33, 'accuracy_ci_low': 0.24, 'accuracy_ci_high': 0.42243784267928164, 'score_name': 'accuracy', 'score': 0.33, 'score_ci_high': 0.42243784267928164, 'score_ci_low': 0.24, 'num_of_instances': 100} | 1 | a100_80gb |
3ac61463dcbbdac3d1c1d9479c5392d8157a14134370b9f8f7ff1197acea5e81 | 1,736,452,730,523 | 1,736,449,200,000 | mistralai_Mistral-7B-Instruct-v0.3 | cards.mmlu_pro.biology | card=cards.mmlu_pro.biology,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.MMLU_PRO.MultipleChoiceTemplatesInstructionsStateBelowPlease.enumerator_keyboard_choicesSeparator_space_shuffleChoices_alphabeticalSortReverse,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 4.885981 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "mistralai/Mistral-7B-Instruct-v0.3", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.16.4"} | {'accuracy': 0.42, 'accuracy_ci_low': 0.33, 'accuracy_ci_high': 0.53, 'score_name': 'accuracy', 'score': 0.42, 'score_ci_high': 0.53, 'score_ci_low': 0.33, 'num_of_instances': 100} | 1 | a100_80gb |
b4ddad5c972b03a4b6af647f3c9c19a6e8eb6f0c8348aea679fc7231a1553787 | 1,736,452,734,643 | 1,736,449,200,000 | mistralai_Mistral-7B-Instruct-v0.3 | cards.mmlu.virology | card=cards.mmlu.virology,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.MMLU.MultipleChoiceTemplatesInstructionsStateBelowPlease.enumerator_keyboard_choicesSeparator_OrCapital_shuffleChoices_False,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 3.289147 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "mistralai/Mistral-7B-Instruct-v0.3", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.16.4"} | {'accuracy': 0.43, 'accuracy_ci_low': 0.34, 'accuracy_ci_high': 0.55, 'score_name': 'accuracy', 'score': 0.43, 'score_ci_high': 0.55, 'score_ci_low': 0.34, 'num_of_instances': 100} | 1 | a100_80gb |
87191a98ae017d2d042b1dd005998153f3170db60d22c66066dd4abe988b3c18 | 1,736,452,740,004 | 1,736,449,200,000 | mistralai_Mistral-7B-Instruct-v0.3 | cards.ai2_arc.arc_challenge | card=cards.ai2_arc.arc_challenge,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.AI2_ARC.MultipleChoiceTemplatesInstructionsProSACould.enumerator_greek_choicesSeparator_pipe_shuffleChoices_lengthSort,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 4.831044 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "mistralai/Mistral-7B-Instruct-v0.3", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.16.4"} | {'accuracy': 0.52, 'accuracy_ci_low': 0.42, 'accuracy_ci_high': 0.62, 'score_name': 'accuracy', 'score': 0.52, 'score_ci_high': 0.62, 'score_ci_low': 0.42, 'num_of_instances': 100} | 1 | a100_80gb |
c1a50b0d94dd1d33ba49ba8cf9376e8a4c6ea3c71c9c221667b61aa9fde2897b | 1,736,452,668,551 | 1,736,449,200,000 | mistralai_Mistral-7B-Instruct-v0.3 | cards.mmlu.high_school_mathematics | card=cards.mmlu.high_school_mathematics,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MMLU.MultipleChoiceTemplatesInstructionsProSACould.enumerator_keyboard_choicesSeparator_newline_shuffleChoices_alphabeticalSort,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 7.852978 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "mistralai/Mistral-7B-Instruct-v0.3", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.16.4"} | {'accuracy': 0.26, 'accuracy_ci_low': 0.18, 'accuracy_ci_high': 0.35, 'score_name': 'accuracy', 'score': 0.26, 'score_ci_high': 0.35, 'score_ci_low': 0.18, 'num_of_instances': 100} | 1 | a100_80gb |
212b9a381d96a3154043df58fb75e6fb6afe21a32f30e6dc9ec53aa6e3f8ca98 | 1,736,452,673,147 | 1,736,449,200,000 | mistralai_Mistral-7B-Instruct-v0.3 | cards.mmlu.human_aging | card=cards.mmlu.human_aging,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.MMLU.MultipleChoiceTemplatesInstructionsStateHere.enumerator_roman_choicesSeparator_OrCapital_shuffleChoices_False,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 3.410775 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "mistralai/Mistral-7B-Instruct-v0.3", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.16.4"} | {'accuracy': 0.61, 'accuracy_ci_low': 0.513121452019117, 'accuracy_ci_high': 0.7, 'score_name': 'accuracy', 'score': 0.61, 'score_ci_high': 0.7, 'score_ci_low': 0.513121452019117, 'num_of_instances': 100} | 1 | a100_80gb |
434e175aaff8f4c9ee2290918f7d032a1749085ffaf0037e247575d8c08e7de2 | 1,736,452,680,744 | 1,736,449,200,000 | mistralai_Mistral-7B-Instruct-v0.3 | cards.mmlu.marketing | card=cards.mmlu.marketing,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MMLU.MultipleChoiceTemplatesInstructionsStateHere.enumerator_numbers_choicesSeparator_semicolon_shuffleChoices_False,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 7.091611 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "mistralai/Mistral-7B-Instruct-v0.3", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.16.4"} | {'accuracy': 0.88, 'accuracy_ci_low': 0.81, 'accuracy_ci_high': 0.93, 'score_name': 'accuracy', 'score': 0.88, 'score_ci_high': 0.93, 'score_ci_low': 0.81, 'num_of_instances': 100} | 1 | a100_80gb |
fca8010f179ff8775bc4071a1428208907eb7a802be55d021b6926805f893d05 | 1,736,452,693,732 | 1,736,449,200,000 | mistralai_Mistral-7B-Instruct-v0.3 | cards.mmlu_pro.biology | card=cards.mmlu_pro.biology,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MMLU_PRO.MultipleChoiceTemplatesStructuredWithTopic.enumerator_roman_choicesSeparator_newline_shuffleChoices_alphabeticalSortReverse,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 12.185307 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "mistralai/Mistral-7B-Instruct-v0.3", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.16.4"} | {'accuracy': 0.48, 'accuracy_ci_low': 0.39, 'accuracy_ci_high': 0.59, 'score_name': 'accuracy', 'score': 0.48, 'score_ci_high': 0.59, 'score_ci_low': 0.39, 'num_of_instances': 100} | 1 | a100_80gb |
4646fa29bd9f44be340e4a89caf1f7389e75b2e428ed641533c46f9bc2c4a1a7 | 1,736,452,699,489 | 1,736,449,200,000 | mistralai_Mistral-7B-Instruct-v0.3 | cards.mmlu.econometrics | card=cards.mmlu.econometrics,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.MMLU.MultipleChoiceTemplatesInstructionsStateBelowPlease.enumerator_capitals_choicesSeparator_semicolon_shuffleChoices_placeCorrectChoiceFirst,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 3.895856 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "mistralai/Mistral-7B-Instruct-v0.3", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.16.4"} | {'accuracy': 0.41, 'accuracy_ci_low': 0.32, 'accuracy_ci_high': 0.52, 'score_name': 'accuracy', 'score': 0.41, 'score_ci_high': 0.52, 'score_ci_low': 0.32, 'num_of_instances': 100} | 1 | a100_80gb |
335e395c9d059dcd549697e9c18d9955d0ce61750d4e91cf6be9932048b8d02a | 1,736,452,703,685 | 1,736,449,200,000 | mistralai_Mistral-7B-Instruct-v0.3 | cards.mmlu.college_chemistry | card=cards.mmlu.college_chemistry,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.MMLU.MultipleChoiceTemplatesInstructionsStateBelowPlease.enumerator_greek_choicesSeparator_OrCapital_shuffleChoices_alphabeticalSortReverse,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 3.613434 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "mistralai/Mistral-7B-Instruct-v0.3", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.16.4"} | {'accuracy': 0.44, 'accuracy_ci_low': 0.34, 'accuracy_ci_high': 0.54, 'score_name': 'accuracy', 'score': 0.44, 'score_ci_high': 0.54, 'score_ci_low': 0.34, 'num_of_instances': 100} | 1 | a100_80gb |
2c14b0f2cbf2450fe5fe4c21289c0f6dc4f63089b7906c886583ed01b77746d5 | 1,736,452,708,326 | 1,736,449,200,000 | mistralai_Mistral-7B-Instruct-v0.3 | cards.mmlu.high_school_chemistry | card=cards.mmlu.high_school_chemistry,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.MMLU.MultipleChoiceTemplatesStructuredWithTopic.enumerator_lowercase_choicesSeparator_newline_shuffleChoices_placeCorrectChoiceFourth,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 4.084024 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "mistralai/Mistral-7B-Instruct-v0.3", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.16.4"} | {'accuracy': 0.32, 'accuracy_ci_low': 0.23, 'accuracy_ci_high': 0.41, 'score_name': 'accuracy', 'score': 0.32, 'score_ci_high': 0.41, 'score_ci_low': 0.23, 'num_of_instances': 100} | 1 | a100_80gb |
584198461dc1528643a41d90e95cd6f7b5f9a8b7209b49ec4a79f516a0b8e2c2 | 1,736,452,724,973 | 1,736,449,200,000 | mistralai_Mistral-7B-Instruct-v0.3 | cards.mmlu.high_school_chemistry | card=cards.mmlu.high_school_chemistry,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MMLU.MultipleChoiceTemplatesStructuredWithoutTopic.enumerator_greek_choicesSeparator_space_shuffleChoices_lengthSort,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 8.198641 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "mistralai/Mistral-7B-Instruct-v0.3", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.16.4"} | {'accuracy': 0.35, 'accuracy_ci_low': 0.27, 'accuracy_ci_high': 0.44, 'score_name': 'accuracy', 'score': 0.35, 'score_ci_high': 0.44, 'score_ci_low': 0.27, 'num_of_instances': 100} | 1 | a100_80gb |
f74dc1ea8cb9b82db2b6837c6b3ede3cdb20573a315b46de377450bd6c0f0f10 | 1,736,452,715,966 | 1,736,449,200,000 | mistralai_Mistral-7B-Instruct-v0.3 | cards.mmlu.electrical_engineering | card=cards.mmlu.electrical_engineering,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MMLU.MultipleChoiceTemplatesStructuredWithTopic.enumerator_roman_choicesSeparator_pipe_shuffleChoices_alphabeticalSortReverse,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 7.072814 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "mistralai/Mistral-7B-Instruct-v0.3", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.16.4"} | {'accuracy': 0.52, 'accuracy_ci_low': 0.43, 'accuracy_ci_high': 0.62, 'score_name': 'accuracy', 'score': 0.52, 'score_ci_high': 0.62, 'score_ci_low': 0.43, 'num_of_instances': 100} | 1 | a100_80gb |
0f92aa530e572d08779a27acc25d985c372ea4779622e67bca5138c7f345316d | 1,736,452,738,326 | 1,736,449,200,000 | mistralai_Mistral-7B-Instruct-v0.3 | cards.mmlu_pro.engineering | card=cards.mmlu_pro.engineering,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MMLU_PRO.MultipleChoiceTemplatesStructuredWithTopic.enumerator_keyboard_choicesSeparator_comma_shuffleChoices_alphabeticalSort,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 12.462137 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "mistralai/Mistral-7B-Instruct-v0.3", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.16.4"} | {'accuracy': 0.23, 'accuracy_ci_low': 0.15, 'accuracy_ci_high': 0.31, 'score_name': 'accuracy', 'score': 0.23, 'score_ci_high': 0.31, 'score_ci_low': 0.15, 'num_of_instances': 100} | 1 | a100_80gb |
db27ed06f573b1b6550cff26473f6c592d0c51425ca86ada178479e66b46b04a | 1,736,452,671,382 | 1,736,449,200,000 | mistralai_Mistral-7B-Instruct-v0.3 | cards.mmlu.college_chemistry | card=cards.mmlu.college_chemistry,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MMLU.MultipleChoiceTemplatesStructuredWithTopic.enumerator_keyboard_choicesSeparator_newline_shuffleChoices_lengthSortReverse,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 9.419244 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "mistralai/Mistral-7B-Instruct-v0.3", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.16.4"} | {'accuracy': 0.48, 'accuracy_ci_low': 0.38, 'accuracy_ci_high': 0.57, 'score_name': 'accuracy', 'score': 0.48, 'score_ci_high': 0.57, 'score_ci_low': 0.38, 'num_of_instances': 100} | 1 | a100_80gb |
5b68c8c9fb1564cdb60ab465a3a04e02c09ce751da0aeb072cd0dc7188482323 | 1,736,452,678,027 | 1,736,449,200,000 | mistralai_Mistral-7B-Instruct-v0.3 | cards.mmlu.management | card=cards.mmlu.management,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MMLU.MultipleChoiceTemplatesInstructionsWithoutTopicFixed.enumerator_roman_choicesSeparator_newline_shuffleChoices_placeCorrectChoiceFourth,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 5.707621 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "mistralai/Mistral-7B-Instruct-v0.3", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.16.4"} | {'accuracy': 0.69, 'accuracy_ci_low': 0.6, 'accuracy_ci_high': 0.78, 'score_name': 'accuracy', 'score': 0.69, 'score_ci_high': 0.78, 'score_ci_low': 0.6, 'num_of_instances': 100} | 1 | a100_80gb |
6338002011fc73f52f9053a3e5dfb108a56054afe23fa3e4c92c0e2869c27b15 | 1,736,452,682,170 | 1,736,449,200,000 | mistralai_Mistral-7B-Instruct-v0.3 | cards.mmlu.nutrition | card=cards.mmlu.nutrition,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.MMLU.MultipleChoiceTemplatesInstructionsProSACould.enumerator_capitals_choicesSeparator_orLower_shuffleChoices_lengthSortReverse,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 3.504966 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "mistralai/Mistral-7B-Instruct-v0.3", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.16.4"} | {'accuracy': 0.56, 'accuracy_ci_low': 0.45, 'accuracy_ci_high': 0.65, 'score_name': 'accuracy', 'score': 0.56, 'score_ci_high': 0.65, 'score_ci_low': 0.45, 'num_of_instances': 100} | 1 | a100_80gb |
2b7ba1c9f786387a933bd61b50e4ed6cf0f5b86ea20b2172b2bb4f17c786792c | 1,736,452,686,310 | 1,736,449,200,000 | mistralai_Mistral-7B-Instruct-v0.3 | cards.mmlu.high_school_psychology | card=cards.mmlu.high_school_psychology,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.MMLU.MultipleChoiceTemplatesInstructionsWithTopic.enumerator_lowercase_choicesSeparator_comma_shuffleChoices_alphabeticalSort,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 3.558302 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "mistralai/Mistral-7B-Instruct-v0.3", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.16.4"} | {'accuracy': 0.68, 'accuracy_ci_low': 0.58, 'accuracy_ci_high': 0.76, 'score_name': 'accuracy', 'score': 0.68, 'score_ci_high': 0.76, 'score_ci_low': 0.58, 'num_of_instances': 100} | 1 | a100_80gb |
30dba1c44f171a25aee6587480a57a332b3356eabfd384aa6dc97dec93c72c93 | 1,736,452,693,226 | 1,736,449,200,000 | mistralai_Mistral-7B-Instruct-v0.3 | cards.mmlu.human_aging | card=cards.mmlu.human_aging,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MMLU.MultipleChoiceTemplatesStructuredWithTopic.enumerator_capitals_choicesSeparator_pipe_shuffleChoices_lengthSortReverse,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 6.349718 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "mistralai/Mistral-7B-Instruct-v0.3", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.16.4"} | {'accuracy': 0.65, 'accuracy_ci_low': 0.55, 'accuracy_ci_high': 0.73, 'score_name': 'accuracy', 'score': 0.65, 'score_ci_high': 0.73, 'score_ci_low': 0.55, 'num_of_instances': 100} | 1 | a100_80gb |
68c7360eb1f349c6100afa86b8605ba1803a89295aac92fb05e99f5376ee029f | 1,736,452,702,861 | 1,736,449,200,000 | mistralai_Mistral-7B-Instruct-v0.3 | cards.mmlu_pro.other | card=cards.mmlu_pro.other,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MMLU_PRO.MultipleChoiceTemplatesInstructionsProSASimple.enumerator_roman_choicesSeparator_space_shuffleChoices_placeCorrectChoiceFirst,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 8.909994 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "mistralai/Mistral-7B-Instruct-v0.3", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.16.4"} | {'accuracy': 0.42, 'accuracy_ci_low': 0.33, 'accuracy_ci_high': 0.51, 'score_name': 'accuracy', 'score': 0.42, 'score_ci_high': 0.51, 'score_ci_low': 0.33, 'num_of_instances': 100} | 1 | a100_80gb |
5c10d006d38c16d4c430277eef518be3b95b82fcc664f02cb4e04de17ad8d2ec | 1,736,452,719,907 | 1,736,449,200,000 | mistralai_Mistral-7B-Instruct-v0.3 | cards.mmlu.security_studies | card=cards.mmlu.security_studies,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MMLU.MultipleChoiceTemplatesInstructionsWithTopic.enumerator_greek_choicesSeparator_semicolon_shuffleChoices_alphabeticalSortReverse,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 16.03434 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "mistralai/Mistral-7B-Instruct-v0.3", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.16.4"} | {'accuracy': 0.62, 'accuracy_ci_low': 0.53, 'accuracy_ci_high': 0.71, 'score_name': 'accuracy', 'score': 0.62, 'score_ci_high': 0.71, 'score_ci_low': 0.53, 'num_of_instances': 100} | 1 | a100_80gb |
474b5a8d66994bc8bddc6a7c385b51288a410a785d13849bd221dc63c2c3b0d0 | 1,736,452,729,278 | 1,736,449,200,000 | mistralai_Mistral-7B-Instruct-v0.3 | cards.mmlu.clinical_knowledge | card=cards.mmlu.clinical_knowledge,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MMLU.MultipleChoiceTemplatesInstructionsWithTopicHelm.enumerator_roman_choicesSeparator_newline_shuffleChoices_alphabeticalSortReverse,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 7.007459 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "mistralai/Mistral-7B-Instruct-v0.3", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.16.4"} | {'accuracy': 0.66, 'accuracy_ci_low': 0.56, 'accuracy_ci_high': 0.75, 'score_name': 'accuracy', 'score': 0.66, 'score_ci_high': 0.75, 'score_ci_low': 0.56, 'num_of_instances': 100} | 1 | a100_80gb |
521fc4e01a3f71e31e53abc0dbb97536c3e4e3a128959ec4f624c915251e6e9d | 1,736,452,733,909 | 1,736,449,200,000 | mistralai_Mistral-7B-Instruct-v0.3 | cards.mmlu.computer_security | card=cards.mmlu.computer_security,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.MMLU.MultipleChoiceTemplatesStructuredWithTopic.enumerator_keyboard_choicesSeparator_semicolon_shuffleChoices_placeCorrectChoiceFirst,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 3.760603 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "mistralai/Mistral-7B-Instruct-v0.3", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.16.4"} | {'accuracy': 0.53, 'accuracy_ci_low': 0.43, 'accuracy_ci_high': 0.63, 'score_name': 'accuracy', 'score': 0.53, 'score_ci_high': 0.63, 'score_ci_low': 0.43, 'num_of_instances': 100} | 1 | a100_80gb |
90b17f6269c2ea1a9667fd157c2d1355e9d6d275f08a1ee451ca0c40a3ec6446 | 1,736,452,738,293 | 1,736,449,200,000 | mistralai_Mistral-7B-Instruct-v0.3 | cards.mmlu.marketing | card=cards.mmlu.marketing,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.MMLU.MultipleChoiceTemplatesInstructionsWithoutTopicFixed.enumerator_roman_choicesSeparator_semicolon_shuffleChoices_lengthSortReverse,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 3.125206 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "mistralai/Mistral-7B-Instruct-v0.3", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.16.4"} | {'accuracy': 0.71, 'accuracy_ci_low': 0.62, 'accuracy_ci_high': 0.79, 'score_name': 'accuracy', 'score': 0.71, 'score_ci_high': 0.79, 'score_ci_low': 0.62, 'num_of_instances': 100} | 1 | a100_80gb |
615a32abbbbe3ead9d660adfd646952f7640b1bd045c63f42200738ec2f96573 | 1,736,452,664,307 | 1,736,449,200,000 | mistralai_Mistral-7B-Instruct-v0.3 | cards.mmlu.high_school_biology | card=cards.mmlu.high_school_biology,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.MMLU.MultipleChoiceTemplatesInstructionsWithoutTopicFixed.enumerator_roman_choicesSeparator_OrCapital_shuffleChoices_lengthSort,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 4.308711 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "mistralai/Mistral-7B-Instruct-v0.3", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.16.4"} | {'accuracy': 0.6, 'accuracy_ci_low': 0.49, 'accuracy_ci_high': 0.69, 'score_name': 'accuracy', 'score': 0.6, 'score_ci_high': 0.69, 'score_ci_low': 0.49, 'num_of_instances': 100} | 1 | a100_80gb |
40c00504c660ef9e5ed724582a330bf5d242f3db8a2bed136f45418d5857f2bf | 1,736,452,669,395 | 1,736,449,200,000 | mistralai_Mistral-7B-Instruct-v0.3 | cards.mmlu.college_chemistry | card=cards.mmlu.college_chemistry,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.MMLU.MultipleChoiceTemplatesInstructionsWithTopicHelm.enumerator_numbers_choicesSeparator_comma_shuffleChoices_lengthSortReverse,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 4.491703 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "mistralai/Mistral-7B-Instruct-v0.3", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.16.4"} | {'accuracy': 0.43, 'accuracy_ci_low': 0.34, 'accuracy_ci_high': 0.53, 'score_name': 'accuracy', 'score': 0.43, 'score_ci_high': 0.53, 'score_ci_low': 0.34, 'num_of_instances': 100} | 1 | a100_80gb |
447232becb8452fa95d6b57fb282bbd5f392638a1611fe76fb7da8857c6f2eb5 | 1,736,452,689,216 | 1,736,449,200,000 | mistralai_Mistral-7B-Instruct-v0.3 | cards.mmlu.professional_law | card=cards.mmlu.professional_law,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MMLU.MultipleChoiceTemplatesInstructionsWithTopic.enumerator_greek_choicesSeparator_newline_shuffleChoices_lengthSortReverse,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 19.265192 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "mistralai/Mistral-7B-Instruct-v0.3", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.16.4"} | {'accuracy': 0.43, 'accuracy_ci_low': 0.33, 'accuracy_ci_high': 0.52, 'score_name': 'accuracy', 'score': 0.43, 'score_ci_high': 0.52, 'score_ci_low': 0.33, 'num_of_instances': 100} | 1 | a100_80gb |
58c200ca099dac1ac4e55a384a6269d4697e040c908c6ee3a2be11f4d23f1ed8 | 1,736,452,695,239 | 1,736,449,200,000 | mistralai_Mistral-7B-Instruct-v0.3 | cards.mmlu.conceptual_physics | card=cards.mmlu.conceptual_physics,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.MMLU.MultipleChoiceTemplatesInstructionsWithoutTopicFixed.enumerator_lowercase_choicesSeparator_OrCapital_shuffleChoices_False,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 3.079778 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "mistralai/Mistral-7B-Instruct-v0.3", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.16.4"} | {'accuracy': 0.37, 'accuracy_ci_low': 0.28, 'accuracy_ci_high': 0.47, 'score_name': 'accuracy', 'score': 0.37, 'score_ci_high': 0.47, 'score_ci_low': 0.28, 'num_of_instances': 100} | 1 | a100_80gb |
a220a481697dde9d8ccf70421d25456e649875d0c3df2e5e69e24d0ba1e98dfb | 1,736,452,701,999 | 1,736,449,200,000 | mistralai_Mistral-7B-Instruct-v0.3 | cards.mmlu.electrical_engineering | card=cards.mmlu.electrical_engineering,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MMLU.MultipleChoiceTemplatesInstructionsProSASimple.enumerator_roman_choicesSeparator_comma_shuffleChoices_alphabeticalSort,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 6.244002 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "mistralai/Mistral-7B-Instruct-v0.3", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.16.4"} | {'accuracy': 0.49, 'accuracy_ci_low': 0.4, 'accuracy_ci_high': 0.58, 'score_name': 'accuracy', 'score': 0.49, 'score_ci_high': 0.58, 'score_ci_low': 0.4, 'num_of_instances': 100} | 1 | a100_80gb |
b365d5ece61d3f333c96c06e519c528efd5f7daac44ac577b63c04038567a868 | 1,736,452,710,307 | 1,736,449,200,000 | mistralai_Mistral-7B-Instruct-v0.3 | cards.mmlu.high_school_government_and_politics | card=cards.mmlu.high_school_government_and_politics,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MMLU.MultipleChoiceTemplatesInstructionsWithoutTopicFixed.enumerator_roman_choicesSeparator_OrCapital_shuffleChoices_placeCorrectChoiceFourth,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 7.565355 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "mistralai/Mistral-7B-Instruct-v0.3", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.16.4"} | {'accuracy': 0.82, 'accuracy_ci_low': 0.73, 'accuracy_ci_high': 0.89, 'score_name': 'accuracy', 'score': 0.82, 'score_ci_high': 0.89, 'score_ci_low': 0.73, 'num_of_instances': 100} | 1 | a100_80gb |
e330cf406bcc46544c0c9078c095ed449b551e786eb261a813b250421049ddbb | 1,736,452,714,546 | 1,736,449,200,000 | mistralai_Mistral-7B-Instruct-v0.3 | cards.mmlu.miscellaneous | card=cards.mmlu.miscellaneous,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.MMLU.MultipleChoiceTemplatesStructuredWithoutTopic.enumerator_greek_choicesSeparator_comma_shuffleChoices_False,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 3.347974 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "mistralai/Mistral-7B-Instruct-v0.3", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.16.4"} | {'accuracy': 0.69, 'accuracy_ci_low': 0.6, 'accuracy_ci_high': 0.77, 'score_name': 'accuracy', 'score': 0.69, 'score_ci_high': 0.77, 'score_ci_low': 0.6, 'num_of_instances': 100} | 1 | a100_80gb |