run_id
large_stringlengths 64
64
| timestamp_utc
int64 1,736B
1,738B
| timestamp_day_hour_utc
int64 1,736B
1,738B
| model_name_or_path
large_stringclasses 5
values | unitxt_card
large_stringclasses 76
values | unitxt_recipe
large_stringlengths 330
400
| quantization_type
large_stringclasses 1
value | quantization_bit_count
large_stringclasses 1
value | inference_runtime_s
float64 1.1
745
| generation_args
large_stringclasses 1
value | model_args
large_stringclasses 5
values | inference_engine
large_stringclasses 1
value | packages_versions
large_stringclasses 1
value | scores
large_stringlengths 174
242
| num_gpu
int64 1
1
| device
large_stringclasses 1
value |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
3d7bb395e7d810c50e0482d31c13131009c8f5662abfb617c0b6127334ba7911 | 1,736,456,245,643 | 1,736,452,800,000 | meta-llama_Meta-Llama-3-8B-Instruct | 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.MultipleChoiceTemplatesInstructionsWithoutTopicHelmFixed.enumerator_capitals_choicesSeparator_space_shuffleChoices_False,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 9.252637 | {"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": "meta-llama/Meta-Llama-3-8B-Instruct", "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': 0.24, 'accuracy_ci_high': 0.42, 'score_name': 'accuracy', 'score': 0.32, 'score_ci_high': 0.42, 'score_ci_low': 0.24, 'num_of_instances': 100} | 1 | a100_80gb |
2282a9b514e4272c8328cfad60559a49fb5df27e230cc0eb103b066c280e6eec | 1,736,456,260,949 | 1,736,452,800,000 | meta-llama_Meta-Llama-3-8B-Instruct | cards.mmlu.professional_medicine | card=cards.mmlu.professional_medicine,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MMLU.MultipleChoiceTemplatesInstructionsStateBelowPlease.enumerator_roman_choicesSeparator_orLower_shuffleChoices_alphabeticalSort,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 13.409696 | {"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": "meta-llama/Meta-Llama-3-8B-Instruct", "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': 0.8, 'score_name': 'accuracy', 'score': 0.71, 'score_ci_high': 0.8, 'score_ci_low': 0.62, 'num_of_instances': 100} | 1 | a100_80gb |
0689a40a9092839521b312b99e7f93f6f6c7de83018b618433ad99efeccac0c6 | 1,736,456,270,128 | 1,736,452,800,000 | meta-llama_Meta-Llama-3-8B-Instruct | 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.MultipleChoiceTemplatesStructuredWithTopic.enumerator_greek_choicesSeparator_comma_shuffleChoices_alphabeticalSort,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 6.816269 | {"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": "meta-llama/Meta-Llama-3-8B-Instruct", "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': 0.53, 'score_name': 'accuracy', 'score': 0.43, 'score_ci_high': 0.53, 'score_ci_low': 0.33, 'num_of_instances': 100} | 1 | a100_80gb |
3d0becfcb692eb189f23502196eaab7d905df746923ed0763b4be24c638019fe | 1,736,456,188,899 | 1,736,452,800,000 | meta-llama_Meta-Llama-3-8B-Instruct | cards.mmlu.high_school_us_history | card=cards.mmlu.high_school_us_history,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.MMLU.MultipleChoiceTemplatesInstructionsProSAAddress.enumerator_greek_choicesSeparator_orLower_shuffleChoices_placeCorrectChoiceFirst,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 6.144049 | {"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": "meta-llama/Meta-Llama-3-8B-Instruct", "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': 0.67, 'score_name': 'accuracy', 'score': 0.57, 'score_ci_high': 0.67, 'score_ci_low': 0.47, 'num_of_instances': 100} | 1 | a100_80gb |
e4994568571aa193b3ca0a2eacf6d5968519fd7325edb6d46109cf21111bd36e | 1,736,456,200,396 | 1,736,452,800,000 | meta-llama_Meta-Llama-3-8B-Instruct | 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.MultipleChoiceTemplatesStructuredWithoutTopic.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 | 10.716731 | {"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": "meta-llama/Meta-Llama-3-8B-Instruct", "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': 0.64, 'accuracy_ci_low': 0.54, 'accuracy_ci_high': 0.7231448832052695, 'score_name': 'accuracy', 'score': 0.64, 'score_ci_high': 0.7231448832052695, 'score_ci_low': 0.54, 'num_of_instances': 100} | 1 | a100_80gb |
7ed63f94bcea851aebc035ca166a8f89bf665e3b9a16c4c3d781ab9e963728c2 | 1,736,456,205,908 | 1,736,452,800,000 | meta-llama_Meta-Llama-3-8B-Instruct | 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_orLower_shuffleChoices_False,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 3.372763 | {"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": "meta-llama/Meta-Llama-3-8B-Instruct", "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 |
0451c5cf43661ce8f93002009294533cdd2e446792ca659a4e9ced9074718448 | 1,736,456,209,843 | 1,736,452,800,000 | meta-llama_Meta-Llama-3-8B-Instruct | cards.mmlu.us_foreign_policy | card=cards.mmlu.us_foreign_policy,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.MMLU.MultipleChoiceTemplatesInstructionsProSAAddress.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 | 3.402141 | {"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": "meta-llama/Meta-Llama-3-8B-Instruct", "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': 0.78, 'accuracy_ci_low': 0.69, 'accuracy_ci_high': 0.85, 'score_name': 'accuracy', 'score': 0.78, 'score_ci_high': 0.85, 'score_ci_low': 0.69, 'num_of_instances': 100} | 1 | a100_80gb |
bcb265e6ca757c02f5c0aef2a8401e290737d9ce3ef97baadbf6707e8b65b314 | 1,736,456,217,987 | 1,736,452,800,000 | meta-llama_Meta-Llama-3-8B-Instruct | 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.MultipleChoiceTemplatesInstructionsProSASimple.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 | 7.550271 | {"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": "meta-llama/Meta-Llama-3-8B-Instruct", "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': 0.36, 'accuracy_ci_high': 0.56, 'score_name': 'accuracy', 'score': 0.46, 'score_ci_high': 0.56, 'score_ci_low': 0.36, 'num_of_instances': 100} | 1 | a100_80gb |
5a0e908bc7a749bb1a5b83e9028bc0140db415683f96b661c871cbafc21fbd38 | 1,736,456,237,168 | 1,736,452,800,000 | meta-llama_Meta-Llama-3-8B-Instruct | cards.mmlu.high_school_world_history | card=cards.mmlu.high_school_world_history,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MMLU.MultipleChoiceTemplatesInstructionsStateBelow.enumerator_greek_choicesSeparator_newline_shuffleChoices_False,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 18.413185 | {"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": "meta-llama/Meta-Llama-3-8B-Instruct", "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': 0.74, 'accuracy_ci_low': 0.66, 'accuracy_ci_high': 0.83, 'score_name': 'accuracy', 'score': 0.74, 'score_ci_high': 0.83, 'score_ci_low': 0.66, 'num_of_instances': 100} | 1 | a100_80gb |
c7876d8c6597cb8bfc1025c0509d3e4e74ef5a4b9a7d4113cda93c3ce2d29c66 | 1,736,456,243,014 | 1,736,452,800,000 | meta-llama_Meta-Llama-3-8B-Instruct | 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.MultipleChoiceTemplatesInstructionsStateBelow.enumerator_greek_choicesSeparator_pipe_shuffleChoices_alphabeticalSort,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 4.235402 | {"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": "meta-llama/Meta-Llama-3-8B-Instruct", "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': 0.37, 'score_name': 'accuracy', 'score': 0.28, 'score_ci_high': 0.37, 'score_ci_low': 0.19, 'num_of_instances': 100} | 1 | a100_80gb |
db17258bfbdbf9d1a13eae6520047e37b82794be8fdde33141d098bb24770c06 | 1,736,456,247,085 | 1,736,452,800,000 | meta-llama_Meta-Llama-3-8B-Instruct | cards.mmlu.prehistory | card=cards.mmlu.prehistory,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.MMLU.MultipleChoiceTemplatesInstructionsWithTopicHelm.enumerator_roman_choicesSeparator_comma_shuffleChoices_alphabeticalSortReverse,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 3.464591 | {"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": "meta-llama/Meta-Llama-3-8B-Instruct", "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': 0.74, 'score_name': 'accuracy', 'score': 0.65, 'score_ci_high': 0.74, 'score_ci_low': 0.56, 'num_of_instances': 100} | 1 | a100_80gb |
a1214f7b5224e9b224bc3b6a544aa925fd7b32016c01ffc5383b02f583b86aa5 | 1,736,456,257,633 | 1,736,452,800,000 | meta-llama_Meta-Llama-3-8B-Instruct | cards.mmlu.high_school_psychology | card=cards.mmlu.high_school_psychology,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MMLU.MultipleChoiceTemplatesInstructionsWithoutTopicHarness.enumerator_numbers_choicesSeparator_pipe_shuffleChoices_lengthSortReverse,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 9.967732 | {"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": "meta-llama/Meta-Llama-3-8B-Instruct", "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': 0.86, 'accuracy_ci_low': 0.79, 'accuracy_ci_high': 0.92, 'score_name': 'accuracy', 'score': 0.86, 'score_ci_high': 0.92, 'score_ci_low': 0.79, 'num_of_instances': 100} | 1 | a100_80gb |
c7fa8c0a0b2d4caccf6a51a85c495d6bf77b4e9d3d2ad25545ed201baa4226b5 | 1,736,456,264,519 | 1,736,452,800,000 | meta-llama_Meta-Llama-3-8B-Instruct | cards.openbook_qa | card=cards.openbook_qa,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.OpenBookQA.MultipleChoiceTemplatesStructuredWithTopic.enumerator_roman_choicesSeparator_semicolon_shuffleChoices_lengthSort,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 4.620693 | {"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": "meta-llama/Meta-Llama-3-8B-Instruct", "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': 0.39868668972079596, 'accuracy_ci_high': 0.6, 'score_name': 'accuracy', 'score': 0.49, 'score_ci_high': 0.6, 'score_ci_low': 0.39868668972079596, 'num_of_instances': 100} | 1 | a100_80gb |
6dcd4975768e640bab890039658f5cecd3ab1d313fd02aecd3e8900fc65f7451 | 1,736,456,180,163 | 1,736,452,800,000 | meta-llama_Meta-Llama-3-8B-Instruct | 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.MultipleChoiceTemplatesInstructionsProSASimple.enumerator_lowercase_choicesSeparator_pipe_shuffleChoices_lengthSortReverse,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 3.869725 | {"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": "meta-llama/Meta-Llama-3-8B-Instruct", "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': 0.5787872504122742, 'score_name': 'accuracy', 'score': 0.48, 'score_ci_high': 0.5787872504122742, 'score_ci_low': 0.38, 'num_of_instances': 100} | 1 | a100_80gb |
40740bb4ff1a834af52009dfee04c5186ede90f85ab0d053584385a71ec2ac6a | 1,736,456,184,202 | 1,736,452,800,000 | meta-llama_Meta-Llama-3-8B-Instruct | cards.mmlu.sociology | card=cards.mmlu.sociology,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.MMLU.MultipleChoiceTemplatesInstructionsProSACould.enumerator_greek_choicesSeparator_comma_shuffleChoices_placeCorrectChoiceFourth,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 3.495023 | {"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": "meta-llama/Meta-Llama-3-8B-Instruct", "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 |
936f284987ffd5f465247f870baa75209819dda7fe364d75c9adf7a593218e14 | 1,736,456,192,359 | 1,736,452,800,000 | meta-llama_Meta-Llama-3-8B-Instruct | 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.MultipleChoiceTemplatesInstructionsStateBelow.enumerator_roman_choicesSeparator_comma_shuffleChoices_alphabeticalSortReverse,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 7.494654 | {"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": "meta-llama/Meta-Llama-3-8B-Instruct", "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': 0.76, 'score_name': 'accuracy', 'score': 0.67, 'score_ci_high': 0.76, 'score_ci_low': 0.58, 'num_of_instances': 100} | 1 | a100_80gb |
158145753d504dad25d0c2ab997866e356102ab874b63f2a3a46c2f033b3f11e | 1,736,456,196,799 | 1,736,452,800,000 | meta-llama_Meta-Llama-3-8B-Instruct | cards.mmlu.business_ethics | card=cards.mmlu.business_ethics,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.MMLU.MultipleChoiceTemplatesInstructionsProSASimple.enumerator_keyboard_choicesSeparator_comma_shuffleChoices_alphabeticalSortReverse,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 3.62651 | {"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": "meta-llama/Meta-Llama-3-8B-Instruct", "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': 0.4792502974915641, 'accuracy_ci_high': 0.67, 'score_name': 'accuracy', 'score': 0.57, 'score_ci_high': 0.67, 'score_ci_low': 0.4792502974915641, 'num_of_instances': 100} | 1 | a100_80gb |
e83ee750ac22167dca0221ca957a83964bbdafe32da417492572cb48ad92786a | 1,736,456,201,158 | 1,736,452,800,000 | meta-llama_Meta-Llama-3-8B-Instruct | cards.mmlu.professional_psychology | card=cards.mmlu.professional_psychology,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.MMLU.MultipleChoiceTemplatesInstructionsWithoutTopicHarness.enumerator_numbers_choicesSeparator_comma_shuffleChoices_False,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 3.794755 | {"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": "meta-llama/Meta-Llama-3-8B-Instruct", "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': 0.64, 'accuracy_ci_low': 0.53, 'accuracy_ci_high': 0.72, 'score_name': 'accuracy', 'score': 0.64, 'score_ci_high': 0.72, 'score_ci_low': 0.53, 'num_of_instances': 100} | 1 | a100_80gb |
793a7a5416e317cf4f10bcff7ab5108f6fcba58acab790629734173192f1bfe8 | 1,736,456,207,049 | 1,736,452,800,000 | meta-llama_Meta-Llama-3-8B-Instruct | cards.mmlu_pro.physics | card=cards.mmlu_pro.physics,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.MMLU_PRO.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 | 5.252306 | {"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": "meta-llama/Meta-Llama-3-8B-Instruct", "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': 0.12, 'accuracy_ci_low': 0.07, 'accuracy_ci_high': 0.2, 'score_name': 'accuracy', 'score': 0.12, 'score_ci_high': 0.2, 'score_ci_low': 0.07, 'num_of_instances': 100} | 1 | a100_80gb |
13fb2d02fdd1fdcacff9a515506c55e7c96c138bc2a97339683373340b39db4f | 1,736,456,211,105 | 1,736,452,800,000 | meta-llama_Meta-Llama-3-8B-Instruct | cards.mmlu.philosophy | card=cards.mmlu.philosophy,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.MMLU.MultipleChoiceTemplatesInstructionsProSASimple.enumerator_numbers_choicesSeparator_space_shuffleChoices_lengthSort,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 3.381006 | {"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": "meta-llama/Meta-Llama-3-8B-Instruct", "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': 0.36, 'accuracy_ci_low': 0.27, 'accuracy_ci_high': 0.46, 'score_name': 'accuracy', 'score': 0.36, 'score_ci_high': 0.46, 'score_ci_low': 0.27, 'num_of_instances': 100} | 1 | a100_80gb |
69725d28cdc57734f9fa39228cde49ba058135be087f8619ab2dd12cade36e35 | 1,736,456,230,698 | 1,736,452,800,000 | meta-llama_Meta-Llama-3-8B-Instruct | 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.MultipleChoiceTemplatesInstructionsWithoutTopicFixed.enumerator_roman_choicesSeparator_space_shuffleChoices_False,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 19.010244 | {"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": "meta-llama/Meta-Llama-3-8B-Instruct", "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': 0.353157392250004, 'accuracy_ci_high': 0.54, 'score_name': 'accuracy', 'score': 0.45, 'score_ci_high': 0.54, 'score_ci_low': 0.353157392250004, 'num_of_instances': 100} | 1 | a100_80gb |
841c3eca9a1c4bc3ebf97fb849aa503c2488fd6034348e227fe21dfa618c9b3c | 1,736,456,260,228 | 1,736,452,800,000 | meta-llama_Meta-Llama-3-8B-Instruct | 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.MultipleChoiceTemplatesInstructionsProSASimple.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 | 19.141531 | {"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": "meta-llama/Meta-Llama-3-8B-Instruct", "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': 0.36, 'accuracy_ci_high': 0.54, 'score_name': 'accuracy', 'score': 0.45, 'score_ci_high': 0.54, 'score_ci_low': 0.36, 'num_of_instances': 100} | 1 | a100_80gb |
46f4573f78845cb9cbb85299b9c5c65bd52f9a00ad59f7cdfab3d14d2a23c256 | 1,736,456,236,390 | 1,736,452,800,000 | meta-llama_Meta-Llama-3-8B-Instruct | cards.mmlu.econometrics | card=cards.mmlu.econometrics,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.MMLU.MultipleChoiceTemplatesInstructionsProSAAddress.enumerator_lowercase_choicesSeparator_space_shuffleChoices_lengthSortReverse,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 3.831212 | {"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": "meta-llama/Meta-Llama-3-8B-Instruct", "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': 0.48, 'score_name': 'accuracy', 'score': 0.38, 'score_ci_high': 0.48, 'score_ci_low': 0.29, 'num_of_instances': 100} | 1 | a100_80gb |
37644bf8f283d9f711e3bed92dcff3acfdfad7111e7d676445760ff16f6fe662 | 1,736,456,188,442 | 1,736,452,800,000 | meta-llama_Meta-Llama-3-8B-Instruct | cards.mmlu_pro.economics | card=cards.mmlu_pro.economics,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.MMLU_PRO.MultipleChoiceTemplatesInstructionsWithoutTopicFixed.enumerator_capitals_choicesSeparator_comma_shuffleChoices_False,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 5.462605 | {"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": "meta-llama/Meta-Llama-3-8B-Instruct", "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': 0.52, 'score_name': 'accuracy', 'score': 0.43, 'score_ci_high': 0.52, 'score_ci_low': 0.34, 'num_of_instances': 100} | 1 | a100_80gb |
f061ec8c8e81b6d294ba66ef9237859896035a596649360a41b2c6c8646295c2 | 1,736,456,197,622 | 1,736,452,800,000 | meta-llama_Meta-Llama-3-8B-Instruct | cards.mmlu.sociology | card=cards.mmlu.sociology,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MMLU.MultipleChoiceTemplatesInstructionsStateHere.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 | 8.366477 | {"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": "meta-llama/Meta-Llama-3-8B-Instruct", "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 |
d2b52f50f0b9ed5360a57d5d231c33013b3e7a5239e6e99fa8ac1714d8dc3867 | 1,736,456,203,394 | 1,736,452,800,000 | meta-llama_Meta-Llama-3-8B-Instruct | cards.mmlu.world_religions | card=cards.mmlu.world_religions,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MMLU.MultipleChoiceTemplatesInstructionsProSASimple.enumerator_numbers_choicesSeparator_orLower_shuffleChoices_alphabeticalSortReverse,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 4.872615 | {"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": "meta-llama/Meta-Llama-3-8B-Instruct", "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': 0.78, 'accuracy_ci_low': 0.69, 'accuracy_ci_high': 0.86, 'score_name': 'accuracy', 'score': 0.78, 'score_ci_high': 0.86, 'score_ci_low': 0.69, 'num_of_instances': 100} | 1 | a100_80gb |
f5a5014ffa23ed77436a9a86885077d2c455d60a01fbd077afc1a3a03d5457d7 | 1,736,456,215,466 | 1,736,452,800,000 | meta-llama_Meta-Llama-3-8B-Instruct | 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.MultipleChoiceTemplatesInstructionsWithoutTopicFixed.enumerator_roman_choicesSeparator_pipe_shuffleChoices_lengthSort,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 11.460513 | {"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": "meta-llama/Meta-Llama-3-8B-Instruct", "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': 0.47, 'accuracy_ci_high': 0.66, 'score_name': 'accuracy', 'score': 0.56, 'score_ci_high': 0.66, 'score_ci_low': 0.47, 'num_of_instances': 100} | 1 | a100_80gb |
9b0b50a7b4acc7c945f82e7e1f71ecc1e333fd066b49cc6de2b6f8200fae972c | 1,736,456,223,103 | 1,736,452,800,000 | meta-llama_Meta-Llama-3-8B-Instruct | cards.mmlu.high_school_world_history | card=cards.mmlu.high_school_world_history,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.MMLU.MultipleChoiceTemplatesStructuredWithoutTopic.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 | 6.622516 | {"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": "meta-llama/Meta-Llama-3-8B-Instruct", "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': 0.79, 'accuracy_ci_low': 0.7, 'accuracy_ci_high': 0.86, 'score_name': 'accuracy', 'score': 0.79, 'score_ci_high': 0.86, 'score_ci_low': 0.7, 'num_of_instances': 100} | 1 | a100_80gb |
0d6ea362ac7524c048bde279f4b4c6f39111963916a6a83969298e39160b2fea | 1,736,456,233,727 | 1,736,452,800,000 | meta-llama_Meta-Llama-3-8B-Instruct | 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.MultipleChoiceTemplatesInstructionsProSAAddress.enumerator_lowercase_choicesSeparator_space_shuffleChoices_lengthSortReverse,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 9.791362 | {"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": "meta-llama/Meta-Llama-3-8B-Instruct", "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 |
3c70083e885a46f6a978da9228e02a049b86cf04aa35b5bc0187787c1f34568e | 1,736,456,242,000 | 1,736,452,800,000 | meta-llama_Meta-Llama-3-8B-Instruct | 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.MultipleChoiceTemplatesInstructionsProSAAddress.enumerator_keyboard_choicesSeparator_OrCapital_shuffleChoices_alphabeticalSortReverse,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 7.223233 | {"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": "meta-llama/Meta-Llama-3-8B-Instruct", "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': 0.52, 'score_name': 'accuracy', 'score': 0.42, 'score_ci_high': 0.52, 'score_ci_low': 0.33, 'num_of_instances': 100} | 1 | a100_80gb |
fff32427bb7043cf8132b83747b8cc95741b7eccf2661187163c6233a796da63 | 1,736,456,249,268 | 1,736,452,800,000 | meta-llama_Meta-Llama-3-8B-Instruct | 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.MultipleChoiceTemplatesStructuredWithoutTopic.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 | 6.484085 | {"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": "meta-llama/Meta-Llama-3-8B-Instruct", "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': 0.54, 'accuracy_ci_low': 0.45, 'accuracy_ci_high': 0.64, 'score_name': 'accuracy', 'score': 0.54, 'score_ci_high': 0.64, 'score_ci_low': 0.45, 'num_of_instances': 100} | 1 | a100_80gb |
5df2c11c6d3254d1c454c43a58a6cb91cbeaae094114028c624387963e1673be | 1,736,456,254,467 | 1,736,452,800,000 | meta-llama_Meta-Llama-3-8B-Instruct | 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.MultipleChoiceTemplatesInstructionsProSAAddress.enumerator_greek_choicesSeparator_semicolon_shuffleChoices_False,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 4.519604 | {"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": "meta-llama/Meta-Llama-3-8B-Instruct", "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': 0.52, 'accuracy_ci_high': 0.71, 'score_name': 'accuracy', 'score': 0.61, 'score_ci_high': 0.71, 'score_ci_low': 0.52, 'num_of_instances': 100} | 1 | a100_80gb |
63893435faa7360292f71a830dd8c0148c29ceb0e58c4557e52717344fa68a78 | 1,736,456,258,727 | 1,736,452,800,000 | meta-llama_Meta-Llama-3-8B-Instruct | 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.MultipleChoiceTemplatesInstructionsProSACould.enumerator_keyboard_choicesSeparator_pipe_shuffleChoices_placeCorrectChoiceFirst,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 3.634223 | {"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": "meta-llama/Meta-Llama-3-8B-Instruct", "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': 0.06, 'accuracy_ci_low': 0.02, 'accuracy_ci_high': 0.12, 'score_name': 'accuracy', 'score': 0.06, 'score_ci_high': 0.12, 'score_ci_low': 0.02, 'num_of_instances': 100} | 1 | a100_80gb |
6ce44b8a1b4ea3981a4911dcfab5e40f716f674f88907b5f2451fad8201ac317 | 1,736,456,188,297 | 1,736,452,800,000 | meta-llama_Meta-Llama-3-8B-Instruct | 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_comma_shuffleChoices_placeCorrectChoiceFirst,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 4.243406 | {"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": "meta-llama/Meta-Llama-3-8B-Instruct", "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': 0.67, 'score_name': 'accuracy', 'score': 0.58, 'score_ci_high': 0.67, 'score_ci_low': 0.48, 'num_of_instances': 100} | 1 | a100_80gb |
e92cc3fe1f02fb23980543547808de683f5d9d692d4e5bab4f45693105b10116 | 1,736,456,193,362 | 1,736,452,800,000 | meta-llama_Meta-Llama-3-8B-Instruct | cards.mmlu.college_computer_science | card=cards.mmlu.college_computer_science,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.MMLU.MultipleChoiceTemplatesInstructionsStateBelowPlease.enumerator_capitals_choicesSeparator_orLower_shuffleChoices_alphabeticalSort,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 4.498462 | {"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": "meta-llama/Meta-Llama-3-8B-Instruct", "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': 0.39, 'accuracy_ci_low': 0.2938014150609241, 'accuracy_ci_high': 0.49, 'score_name': 'accuracy', 'score': 0.39, 'score_ci_high': 0.49, 'score_ci_low': 0.2938014150609241, 'num_of_instances': 100} | 1 | a100_80gb |
6725df7d6dec22812ce5f2bd5b13485e24df8324bdff140770b061de3e40030c | 1,736,456,199,058 | 1,736,452,800,000 | meta-llama_Meta-Llama-3-8B-Instruct | 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.MultipleChoiceTemplatesInstructionsStateBelowPlease.enumerator_capitals_choicesSeparator_semicolon_shuffleChoices_False,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 5.100079 | {"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": "meta-llama/Meta-Llama-3-8B-Instruct", "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': 0.81, 'accuracy_ci_low': 0.72, 'accuracy_ci_high': 0.87, 'score_name': 'accuracy', 'score': 0.81, 'score_ci_high': 0.87, 'score_ci_low': 0.72, 'num_of_instances': 100} | 1 | a100_80gb |
490ca51fbd0476c878d8d93bfd7d1f871e9f6f8fb246631c39775a93f95848a0 | 1,736,456,206,122 | 1,736,452,800,000 | meta-llama_Meta-Llama-3-8B-Instruct | cards.mmlu.high_school_world_history | card=cards.mmlu.high_school_world_history,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.MMLU.MultipleChoiceTemplatesInstructionsStateBelow.enumerator_keyboard_choicesSeparator_comma_shuffleChoices_alphabeticalSortReverse,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 6.510526 | {"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": "meta-llama/Meta-Llama-3-8B-Instruct", "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': 0.72, 'score_name': 'accuracy', 'score': 0.63, 'score_ci_high': 0.72, 'score_ci_low': 0.54, 'num_of_instances': 100} | 1 | a100_80gb |
12b5e78de3be1e56f64ecacad09ce5085f96d8ac6080713eefd4c17ca9cdd1a8 | 1,736,456,210,858 | 1,736,452,800,000 | meta-llama_Meta-Llama-3-8B-Instruct | 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.MultipleChoiceTemplatesInstructionsWithoutTopicHelmFixed.enumerator_roman_choicesSeparator_newline_shuffleChoices_lengthSort,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 3.892639 | {"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": "meta-llama/Meta-Llama-3-8B-Instruct", "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': 0.11, 'accuracy_ci_high': 0.25, 'score_name': 'accuracy', 'score': 0.17, 'score_ci_high': 0.25, 'score_ci_low': 0.11, 'num_of_instances': 100} | 1 | a100_80gb |
90416a3dc8f7ab6edd303340a62dd9ac2a2b9e675777ae5ee90bdbfd7f9a1593 | 1,736,456,233,400 | 1,736,452,800,000 | meta-llama_Meta-Llama-3-8B-Instruct | 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.MultipleChoiceTemplatesInstructionsStateBelowPlease.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 | 3.743839 | {"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": "meta-llama/Meta-Llama-3-8B-Instruct", "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 |
8bf225819c1f16db56a7989e3d86235a875a36a76a7ca213eb3bd5ffa621ab2d | 1,736,456,216,617 | 1,736,452,800,000 | meta-llama_Meta-Llama-3-8B-Instruct | cards.mmlu.professional_medicine | card=cards.mmlu.professional_medicine,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.MMLU.MultipleChoiceTemplatesInstructionsProSAAddress.enumerator_capitals_choicesSeparator_OrCapital_shuffleChoices_lengthSortReverse,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 5.217946 | {"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": "meta-llama/Meta-Llama-3-8B-Instruct", "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': 0.31, 'accuracy_ci_high': 0.5, 'score_name': 'accuracy', 'score': 0.4, 'score_ci_high': 0.5, 'score_ci_low': 0.31, 'num_of_instances': 100} | 1 | a100_80gb |
4b5932f4fbbaa9de1ab62630b83143de8eb1a0610db5e60ec7db6b8e3e344eee | 1,736,456,228,061 | 1,736,452,800,000 | meta-llama_Meta-Llama-3-8B-Instruct | 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.MultipleChoiceTemplatesInstructionsProSASimple.enumerator_roman_choicesSeparator_OrCapital_shuffleChoices_placeCorrectChoiceFirst,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 10.796934 | {"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": "meta-llama/Meta-Llama-3-8B-Instruct", "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 |
d897970aa3026d131f71be045686f9c946b53abca7de0c028dd8c03621c83fd6 | 1,736,456,240,396 | 1,736,452,800,000 | meta-llama_Meta-Llama-3-8B-Instruct | cards.mmlu.virology | card=cards.mmlu.virology,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MMLU.MultipleChoiceTemplatesInstructionsProSACould.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 | 6.401748 | {"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": "meta-llama/Meta-Llama-3-8B-Instruct", "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': 0.55, 'accuracy_ci_low': 0.45, 'accuracy_ci_high': 0.65, 'score_name': 'accuracy', 'score': 0.55, 'score_ci_high': 0.65, 'score_ci_low': 0.45, 'num_of_instances': 100} | 1 | a100_80gb |
635af84c9cf21b00888e5ce13223d02e8b7cc32fae0d7765e447ffc708f8f1d3 | 1,736,456,244,723 | 1,736,452,800,000 | meta-llama_Meta-Llama-3-8B-Instruct | cards.mmlu.sociology | card=cards.mmlu.sociology,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.MMLU.MultipleChoiceTemplatesInstructionsStateBelowPlease.enumerator_roman_choicesSeparator_comma_shuffleChoices_placeCorrectChoiceFourth,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 3.631073 | {"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": "meta-llama/Meta-Llama-3-8B-Instruct", "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 |
fb602d25bbdd176be33e42e88f29d6dd4fa36f91a2aaa5e75b52fdd73f48752b | 1,736,456,182,759 | 1,736,452,800,000 | meta-llama_Meta-Llama-3-8B-Instruct | 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.MultipleChoiceTemplatesInstructionsWithoutTopicHarness.enumerator_lowercase_choicesSeparator_pipe_shuffleChoices_False,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 8.075058 | {"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": "meta-llama/Meta-Llama-3-8B-Instruct", "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': 0.92, 'accuracy_ci_low': 0.85, 'accuracy_ci_high': 0.97, 'score_name': 'accuracy', 'score': 0.92, 'score_ci_high': 0.97, 'score_ci_low': 0.85, 'num_of_instances': 100} | 1 | a100_80gb |
b53cb001a5cb0a8d5114e8389232ece86da30ae4684fd89ac5ca47c773c62a09 | 1,736,456,192,330 | 1,736,452,800,000 | meta-llama_Meta-Llama-3-8B-Instruct | 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.MultipleChoiceTemplatesInstructionsStateBelowPlease.enumerator_numbers_choicesSeparator_pipe_shuffleChoices_lengthSortReverse,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 8.523976 | {"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": "meta-llama/Meta-Llama-3-8B-Instruct", "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': 0.74, 'score_name': 'accuracy', 'score': 0.66, 'score_ci_high': 0.74, 'score_ci_low': 0.56, 'num_of_instances': 100} | 1 | a100_80gb |
f6be75d0162d35a6482f9b07537b613d2576e1752189ab93ba324a8633975f51 | 1,736,456,201,537 | 1,736,452,800,000 | meta-llama_Meta-Llama-3-8B-Instruct | cards.mmlu.business_ethics | card=cards.mmlu.business_ethics,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MMLU.MultipleChoiceTemplatesInstructionsWithoutTopicHarness.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 | 7.949109 | {"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": "meta-llama/Meta-Llama-3-8B-Instruct", "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': 0.75, 'score_name': 'accuracy', 'score': 0.65, 'score_ci_high': 0.75, 'score_ci_low': 0.55, 'num_of_instances': 100} | 1 | a100_80gb |
2a94fa888aec212fae5e30823f32a60c688653f6c1a57cbbbe7238b6d2c6e316 | 1,736,456,206,438 | 1,736,452,800,000 | meta-llama_Meta-Llama-3-8B-Instruct | cards.mmlu.marketing | card=cards.mmlu.marketing,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.MMLU.MultipleChoiceTemplatesStructuredWithTopic.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 | 3.568361 | {"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": "meta-llama/Meta-Llama-3-8B-Instruct", "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 |
fa5d7a8bc240b615407dcc48a8bc7f44dca847c272f15a08847eb3bcb8769fe5 | 1,736,456,214,980 | 1,736,452,800,000 | meta-llama_Meta-Llama-3-8B-Instruct | cards.mmlu.high_school_psychology | card=cards.mmlu.high_school_psychology,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MMLU.MultipleChoiceTemplatesStructuredWithoutTopic.enumerator_roman_choicesSeparator_newline_shuffleChoices_lengthSort,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 7.995507 | {"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": "meta-llama/Meta-Llama-3-8B-Instruct", "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': 0.83, 'accuracy_ci_low': 0.75, 'accuracy_ci_high': 0.89, 'score_name': 'accuracy', 'score': 0.83, 'score_ci_high': 0.89, 'score_ci_low': 0.75, 'num_of_instances': 100} | 1 | a100_80gb |
d90ef9a2b6c5d732f4db51d66b91c1bc84f05dbc8414c7bc70e7566744b5ce8f | 1,736,456,219,124 | 1,736,452,800,000 | meta-llama_Meta-Llama-3-8B-Instruct | 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.MultipleChoiceTemplatesInstructionsWithoutTopicFixed.enumerator_roman_choicesSeparator_newline_shuffleChoices_lengthSort,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 2.693995 | {"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": "meta-llama/Meta-Llama-3-8B-Instruct", "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 |
3bb0515676a18410db516cb6b0b29fb87b5cd43606557c5bfc2d10e93d9ffad9 | 1,736,456,224,546 | 1,736,452,800,000 | meta-llama_Meta-Llama-3-8B-Instruct | cards.mmlu_pro.health | card=cards.mmlu_pro.health,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.MMLU_PRO.MultipleChoiceTemplatesStructuredWithoutTopic.enumerator_greek_choicesSeparator_comma_shuffleChoices_alphabeticalSort,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 4.850055 | {"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": "meta-llama/Meta-Llama-3-8B-Instruct", "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': 0.24, 'accuracy_ci_high': 0.41, 'score_name': 'accuracy', 'score': 0.32, 'score_ci_high': 0.41, 'score_ci_low': 0.24, 'num_of_instances': 100} | 1 | a100_80gb |
5985d25838a8af8e77ed7ed604f4bdb62e728e5c4cfe9b23b1a1fcee193d710c | 1,736,456,228,902 | 1,736,452,800,000 | meta-llama_Meta-Llama-3-8B-Instruct | 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.MultipleChoiceTemplatesInstructionsWithoutTopicHelmFixed.enumerator_lowercase_choicesSeparator_pipe_shuffleChoices_placeCorrectChoiceFourth,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 3.671654 | {"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": "meta-llama/Meta-Llama-3-8B-Instruct", "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': 0.41, 'accuracy_ci_high': 0.61, 'score_name': 'accuracy', 'score': 0.51, 'score_ci_high': 0.61, 'score_ci_low': 0.41, 'num_of_instances': 100} | 1 | a100_80gb |
10e5787dcb2d45b836819223fa8fde37691fbe61299f1e88a7c1abfd373db2c5 | 1,736,456,233,888 | 1,736,452,800,000 | meta-llama_Meta-Llama-3-8B-Instruct | 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.MultipleChoiceTemplatesInstructionsWithoutTopicFixed.enumerator_lowercase_choicesSeparator_OrCapital_shuffleChoices_lengthSortReverse,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 4.415695 | {"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": "meta-llama/Meta-Llama-3-8B-Instruct", "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': 0.13165453776003055, 'accuracy_ci_high': 0.28, 'score_name': 'accuracy', 'score': 0.21, 'score_ci_high': 0.28, 'score_ci_low': 0.13165453776003055, 'num_of_instances': 100} | 1 | a100_80gb |
cb1af90af971f01a6eced4435decf9379a82c695948c9e4bc948735ce6d03e67 | 1,736,456,242,141 | 1,736,452,800,000 | meta-llama_Meta-Llama-3-8B-Instruct | 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.MultipleChoiceTemplatesInstructionsWithTopicHelm.enumerator_numbers_choicesSeparator_semicolon_shuffleChoices_lengthSort,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 7.676054 | {"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": "meta-llama/Meta-Llama-3-8B-Instruct", "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': 0.88, 'score_name': 'accuracy', 'score': 0.82, 'score_ci_high': 0.88, 'score_ci_low': 0.73, 'num_of_instances': 100} | 1 | a100_80gb |
d197867e39d0706e347beab9c642bafbb9ebe8590a5411ad7e24c066546b0226 | 1,736,456,146,094 | 1,736,452,800,000 | meta-llama_Meta-Llama-3-8B-Instruct | 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.MultipleChoiceTemplatesInstructionsWithoutTopicFixed.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 | 4.492673 | {"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": "meta-llama/Meta-Llama-3-8B-Instruct", "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': 0.3, 'accuracy_ci_low': 0.2194701054404665, 'accuracy_ci_high': 0.4, 'score_name': 'accuracy', 'score': 0.3, 'score_ci_high': 0.4, 'score_ci_low': 0.2194701054404665, 'num_of_instances': 100} | 1 | a100_80gb |
a685e7bec6959f2be4257f2bd5e3d35bd9a8885dec4250b0f05dfe16323e1cd3 | 1,736,456,157,320 | 1,736,452,800,000 | meta-llama_Meta-Llama-3-8B-Instruct | 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.MultipleChoiceTemplatesInstructionsWithTopic.enumerator_roman_choicesSeparator_pipe_shuffleChoices_lengthSort,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 10.057482 | {"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": "meta-llama/Meta-Llama-3-8B-Instruct", "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 |
ff2f606312f00252463f74dcbead8184d3d887c490fdc8f9fa801e4b246f1361 | 1,736,456,167,956 | 1,736,452,800,000 | meta-llama_Meta-Llama-3-8B-Instruct | cards.mmlu.econometrics | card=cards.mmlu.econometrics,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MMLU.MultipleChoiceTemplatesInstructionsWithoutTopicHelmFixed.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 | 9.597498 | {"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": "meta-llama/Meta-Llama-3-8B-Instruct", "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': 0.36, 'accuracy_ci_high': 0.55, 'score_name': 'accuracy', 'score': 0.45, 'score_ci_high': 0.55, 'score_ci_low': 0.36, 'num_of_instances': 100} | 1 | a100_80gb |
d0c0c9e946b9c17e4fd1b09f757b9fdfa5bcaf6aabb7fd1eafd64eb549a5a08c | 1,736,456,175,266 | 1,736,452,800,000 | meta-llama_Meta-Llama-3-8B-Instruct | cards.mmlu.virology | card=cards.mmlu.virology,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MMLU.MultipleChoiceTemplatesInstructionsProSASimple.enumerator_numbers_choicesSeparator_semicolon_shuffleChoices_alphabeticalSort,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 6.392753 | {"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": "meta-llama/Meta-Llama-3-8B-Instruct", "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': 0.55, 'accuracy_ci_low': 0.45, 'accuracy_ci_high': 0.65, 'score_name': 'accuracy', 'score': 0.55, 'score_ci_high': 0.65, 'score_ci_low': 0.45, 'num_of_instances': 100} | 1 | a100_80gb |
d897f9d7b3fc22e96b7ec4bd785fcce9ee46cae2f41135fc2ae6e038593b1d24 | 1,736,456,182,506 | 1,736,452,800,000 | meta-llama_Meta-Llama-3-8B-Instruct | cards.mmlu.high_school_us_history | card=cards.mmlu.high_school_us_history,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.MMLU.MultipleChoiceTemplatesInstructionsWithoutTopicFixed.enumerator_lowercase_choicesSeparator_space_shuffleChoices_lengthSortReverse,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 5.794554 | {"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": "meta-llama/Meta-Llama-3-8B-Instruct", "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': 0.84, 'score_name': 'accuracy', 'score': 0.76, 'score_ci_high': 0.84, 'score_ci_low': 0.67, 'num_of_instances': 100} | 1 | a100_80gb |
d407adf9c077d3a874c875076ad74a93a0d3ed5eddf84c1a2d01e355e98c63cf | 1,736,456,191,004 | 1,736,452,800,000 | meta-llama_Meta-Llama-3-8B-Instruct | cards.mmlu.marketing | card=cards.mmlu.marketing,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MMLU.MultipleChoiceTemplatesInstructionsStateBelowPlease.enumerator_capitals_choicesSeparator_orLower_shuffleChoices_placeCorrectChoiceFirst,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 7.707041 | {"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": "meta-llama/Meta-Llama-3-8B-Instruct", "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': 0.86, 'accuracy_ci_low': 0.78, 'accuracy_ci_high': 0.92, 'score_name': 'accuracy', 'score': 0.86, 'score_ci_high': 0.92, 'score_ci_low': 0.78, 'num_of_instances': 100} | 1 | a100_80gb |
25676e3ea17b94f682129bdf2f220e1080ba28c4d5a7b5c619b2d5d001361f01 | 1,736,456,202,202 | 1,736,452,800,000 | meta-llama_Meta-Llama-3-8B-Instruct | cards.mmlu.astronomy | card=cards.mmlu.astronomy,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MMLU.MultipleChoiceTemplatesInstructionsStateHere.enumerator_numbers_choicesSeparator_pipe_shuffleChoices_lengthSortReverse,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 9.434076 | {"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": "meta-llama/Meta-Llama-3-8B-Instruct", "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': 0.73, 'accuracy_ci_low': 0.6389657142984749, 'accuracy_ci_high': 0.81, 'score_name': 'accuracy', 'score': 0.73, 'score_ci_high': 0.81, 'score_ci_low': 0.6389657142984749, 'num_of_instances': 100} | 1 | a100_80gb |
507f78b5eb6627aa4c5c3bfdc2a32c59d922aaf7f10418542aa75c1feff0708c | 1,736,456,214,642 | 1,736,452,800,000 | meta-llama_Meta-Llama-3-8B-Instruct | cards.mmlu_pro.math | card=cards.mmlu_pro.math,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MMLU_PRO.MultipleChoiceTemplatesInstructionsProSACould.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 | 11.452893 | {"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": "meta-llama/Meta-Llama-3-8B-Instruct", "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 |
0e891ac412a6e4fce58ab128a10b53de06c41958778ba1af60faf0c8786a3f73 | 1,736,456,226,659 | 1,736,452,800,000 | meta-llama_Meta-Llama-3-8B-Instruct | 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.MultipleChoiceTemplatesInstructionsWithoutTopicHarness.enumerator_keyboard_choicesSeparator_semicolon_shuffleChoices_alphabeticalSortReverse,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 9.899742 | {"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": "meta-llama/Meta-Llama-3-8B-Instruct", "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': 0.53, 'score_name': 'accuracy', 'score': 0.43, 'score_ci_high': 0.53, 'score_ci_low': 0.33, 'num_of_instances': 100} | 1 | a100_80gb |
7899ed62e4a4ed2fd6c13dcf9fe0c2bc6cd936b704ddc8bb9f33608383ac09ed | 1,736,456,238,019 | 1,736,452,800,000 | meta-llama_Meta-Llama-3-8B-Instruct | 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.MultipleChoiceTemplatesStructuredWithTopic.enumerator_capitals_choicesSeparator_comma_shuffleChoices_placeCorrectChoiceFourth,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 10.137127 | {"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": "meta-llama/Meta-Llama-3-8B-Instruct", "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': 0.75, 'accuracy_ci_low': 0.65, 'accuracy_ci_high': 0.83, 'score_name': 'accuracy', 'score': 0.75, 'score_ci_high': 0.83, 'score_ci_low': 0.65, 'num_of_instances': 100} | 1 | a100_80gb |
c81f5002cec725184b785043a0965b39d6f877af9b7f1ef43c481226865a88ac | 1,736,456,155,350 | 1,736,452,800,000 | meta-llama_Meta-Llama-3-8B-Instruct | cards.mmlu_pro.chemistry | card=cards.mmlu_pro.chemistry,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.MMLU_PRO.MultipleChoiceTemplatesInstructionsWithTopic.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 | 5.279029 | {"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": "meta-llama/Meta-Llama-3-8B-Instruct", "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': 0.1, 'accuracy_ci_low': 0.05, 'accuracy_ci_high': 0.18, 'score_name': 'accuracy', 'score': 0.1, 'score_ci_high': 0.18, 'score_ci_low': 0.05, 'num_of_instances': 100} | 1 | a100_80gb |
8fe87b2342670d2e404435ad1512c5e0f9b600c6cfd6f1a137c2c2ddd6ce7e2c | 1,736,456,159,576 | 1,736,452,800,000 | meta-llama_Meta-Llama-3-8B-Instruct | cards.mmlu.anatomy | card=cards.mmlu.anatomy,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.MMLU.MultipleChoiceTemplatesInstructionsProSAAddress.enumerator_roman_choicesSeparator_newline_shuffleChoices_placeCorrectChoiceFirst,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 3.558215 | {"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": "meta-llama/Meta-Llama-3-8B-Instruct", "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': 0.41, 'score_name': 'accuracy', 'score': 0.31, 'score_ci_high': 0.41, 'score_ci_low': 0.22, 'num_of_instances': 100} | 1 | a100_80gb |
e1085a19f51c2996c49440c94506683b34838040164bfc4d61f680544947599a | 1,736,456,163,766 | 1,736,452,800,000 | meta-llama_Meta-Llama-3-8B-Instruct | 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.MultipleChoiceTemplatesInstructionsStateHere.enumerator_keyboard_choicesSeparator_orLower_shuffleChoices_alphabeticalSort,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 3.647054 | {"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": "meta-llama/Meta-Llama-3-8B-Instruct", "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': 0.75, 'accuracy_ci_low': 0.6605336238859832, 'accuracy_ci_high': 0.82, 'score_name': 'accuracy', 'score': 0.75, 'score_ci_high': 0.82, 'score_ci_low': 0.6605336238859832, 'num_of_instances': 100} | 1 | a100_80gb |
18c0ae39c7469c0dbcd400e7db03f8902d849dd83ce68fec5eae7435f98f56ae | 1,736,456,174,073 | 1,736,452,800,000 | meta-llama_Meta-Llama-3-8B-Instruct | cards.mmlu.international_law | card=cards.mmlu.international_law,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MMLU.MultipleChoiceTemplatesInstructionsStateBelowPlease.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 | 9.608624 | {"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": "meta-llama/Meta-Llama-3-8B-Instruct", "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': 0.85, 'score_name': 'accuracy', 'score': 0.77, 'score_ci_high': 0.85, 'score_ci_low': 0.68, 'num_of_instances': 100} | 1 | a100_80gb |
875153e5efae022abed9d7caa6aa73afcf2ecc4afaf9a26a127fb317bfbacf28 | 1,736,456,181,196 | 1,736,452,800,000 | meta-llama_Meta-Llama-3-8B-Instruct | cards.mmlu.philosophy | card=cards.mmlu.philosophy,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MMLU.MultipleChoiceTemplatesStructuredWithoutTopic.enumerator_roman_choicesSeparator_orLower_shuffleChoices_alphabeticalSortReverse,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 5.989201 | {"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": "meta-llama/Meta-Llama-3-8B-Instruct", "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': 0.74, 'accuracy_ci_low': 0.65, 'accuracy_ci_high': 0.82, 'score_name': 'accuracy', 'score': 0.74, 'score_ci_high': 0.82, 'score_ci_low': 0.65, 'num_of_instances': 100} | 1 | a100_80gb |
08329b262389d8ea3a81f747f68979bf1b78c9b71827465aba3a1fe1d65789df | 1,736,456,192,611 | 1,736,452,800,000 | meta-llama_Meta-Llama-3-8B-Instruct | cards.mmlu.prehistory | card=cards.mmlu.prehistory,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MMLU.MultipleChoiceTemplatesInstructionsWithTopic.enumerator_numbers_choicesSeparator_orLower_shuffleChoices_alphabeticalSortReverse,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 8.461555 | {"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": "meta-llama/Meta-Llama-3-8B-Instruct", "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 |
784a4290fffd3d7684d111b53eff92e0dc14e100627bdf226ba7038dfe7aa1c2 | 1,736,456,204,233 | 1,736,452,800,000 | meta-llama_Meta-Llama-3-8B-Instruct | cards.mmlu_pro.philosophy | card=cards.mmlu_pro.philosophy,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MMLU_PRO.MultipleChoiceTemplatesInstructionsStateBelowPlease.enumerator_numbers_choicesSeparator_OrCapital_shuffleChoices_lengthSort,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 10.700302 | {"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": "meta-llama/Meta-Llama-3-8B-Instruct", "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': 0.37, 'score_name': 'accuracy', 'score': 0.27, 'score_ci_high': 0.37, 'score_ci_low': 0.19, 'num_of_instances': 100} | 1 | a100_80gb |
0ef397202acb1e77d01e82d7bff1290bff656fe9eebbaa5a026f67359b5cc984 | 1,736,456,210,163 | 1,736,452,800,000 | meta-llama_Meta-Llama-3-8B-Instruct | cards.mmlu_pro.economics | card=cards.mmlu_pro.economics,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.MMLU_PRO.MultipleChoiceTemplatesStructuredWithTopic.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 | 4.826376 | {"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": "meta-llama/Meta-Llama-3-8B-Instruct", "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': 0.3, 'accuracy_ci_low': 0.22, 'accuracy_ci_high': 0.39, 'score_name': 'accuracy', 'score': 0.3, 'score_ci_high': 0.39, 'score_ci_low': 0.22, 'num_of_instances': 100} | 1 | a100_80gb |
441f2d4bef5b1527fe3cd2bbd26a1b36cb72cb22518443b77bf52d54999c352a | 1,736,456,218,813 | 1,736,452,800,000 | meta-llama_Meta-Llama-3-8B-Instruct | 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.MultipleChoiceTemplatesInstructionsStateHere.enumerator_keyboard_choicesSeparator_semicolon_shuffleChoices_lengthSort,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 7.840963 | {"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": "meta-llama/Meta-Llama-3-8B-Instruct", "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': 0.54, 'accuracy_ci_low': 0.45, 'accuracy_ci_high': 0.64, 'score_name': 'accuracy', 'score': 0.54, 'score_ci_high': 0.64, 'score_ci_low': 0.45, 'num_of_instances': 100} | 1 | a100_80gb |
3af400153efc18170bcfc6e7bd938148a4baaa7abedbc2e8037ee8f5e6426bd1 | 1,736,456,235,372 | 1,736,452,800,000 | meta-llama_Meta-Llama-3-8B-Instruct | cards.mmlu.professional_medicine | card=cards.mmlu.professional_medicine,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MMLU.MultipleChoiceTemplatesStructuredWithoutTopic.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 | 15.746408 | {"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": "meta-llama/Meta-Llama-3-8B-Instruct", "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': 0.8, 'accuracy_ci_high': 0.93, 'score_name': 'accuracy', 'score': 0.87, 'score_ci_high': 0.93, 'score_ci_low': 0.8, 'num_of_instances': 100} | 1 | a100_80gb |
7c14b23cd3e485c98f2ef17e4a13ea0fe21808e483bf8ecbd38a1c76022b5b70 | 1,736,456,162,340 | 1,736,452,800,000 | meta-llama_Meta-Llama-3-8B-Instruct | 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.MultipleChoiceTemplatesInstructionsWithoutTopicFixed.enumerator_lowercase_choicesSeparator_pipe_shuffleChoices_lengthSortReverse,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 3.665351 | {"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": "meta-llama/Meta-Llama-3-8B-Instruct", "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': 0.77, 'score_name': 'accuracy', 'score': 0.68, 'score_ci_high': 0.77, 'score_ci_low': 0.59, 'num_of_instances': 100} | 1 | a100_80gb |
1cfecc572448b893cea689e5cced6464961dd997f791601b9fc42b4b5abb5f3e | 1,736,456,166,615 | 1,736,452,800,000 | meta-llama_Meta-Llama-3-8B-Instruct | 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.MultipleChoiceTemplatesInstructionsStateHere.enumerator_greek_choicesSeparator_semicolon_shuffleChoices_placeCorrectChoiceFourth,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 3.72535 | {"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": "meta-llama/Meta-Llama-3-8B-Instruct", "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': 0.85, 'score_name': 'accuracy', 'score': 0.77, 'score_ci_high': 0.85, 'score_ci_low': 0.68, 'num_of_instances': 100} | 1 | a100_80gb |
f0af415f5ec118709c75eca57b4c9869dd6469c7362e41ba21842c5c4c365ac2 | 1,736,456,175,610 | 1,736,452,800,000 | meta-llama_Meta-Llama-3-8B-Instruct | 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.MultipleChoiceTemplatesInstructionsWithTopic.enumerator_lowercase_choicesSeparator_OrCapital_shuffleChoices_alphabeticalSortReverse,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 8.436405 | {"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": "meta-llama/Meta-Llama-3-8B-Instruct", "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': 0.81, 'accuracy_ci_low': 0.72, 'accuracy_ci_high': 0.87, 'score_name': 'accuracy', 'score': 0.81, 'score_ci_high': 0.87, 'score_ci_low': 0.72, 'num_of_instances': 100} | 1 | a100_80gb |
0c637e475a7932fecf4223bf13dd0e0d88d678451500bdd0e86481035d3e0ee8 | 1,736,456,179,936 | 1,736,452,800,000 | meta-llama_Meta-Llama-3-8B-Instruct | 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.MultipleChoiceTemplatesInstructionsWithoutTopicHarness.enumerator_lowercase_choicesSeparator_orLower_shuffleChoices_placeCorrectChoiceFirst,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 3.576762 | {"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": "meta-llama/Meta-Llama-3-8B-Instruct", "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': 0.37, 'score_name': 'accuracy', 'score': 0.29, 'score_ci_high': 0.37, 'score_ci_low': 0.21, 'num_of_instances': 100} | 1 | a100_80gb |
a1bba665b2480966c07193f68645ca5663954f28056aed6ddc1323f51d69ecc7 | 1,736,456,190,676 | 1,736,452,800,000 | meta-llama_Meta-Llama-3-8B-Instruct | 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.MultipleChoiceTemplatesInstructionsWithTopicHelm.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 | 10.193015 | {"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": "meta-llama/Meta-Llama-3-8B-Instruct", "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': 0.55, 'accuracy_ci_low': 0.45, 'accuracy_ci_high': 0.64, 'score_name': 'accuracy', 'score': 0.55, 'score_ci_high': 0.64, 'score_ci_low': 0.45, 'num_of_instances': 100} | 1 | a100_80gb |
d1c68041db1de912e53aecba3909cdad8e40d92526aafd7b67e624f8fb2a0d48 | 1,736,456,196,389 | 1,736,452,800,000 | meta-llama_Meta-Llama-3-8B-Instruct | 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.MultipleChoiceTemplatesInstructionsProSAAddress.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 | 4.89827 | {"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": "meta-llama/Meta-Llama-3-8B-Instruct", "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': 0.14, 'accuracy_ci_low': 0.08, 'accuracy_ci_high': 0.22, 'score_name': 'accuracy', 'score': 0.14, 'score_ci_high': 0.22, 'score_ci_low': 0.08, 'num_of_instances': 100} | 1 | a100_80gb |
28a1e641050efde2896226d9fccb4b6ac8c11fcc393b504b823d4ec4043ab46e | 1,736,456,201,689 | 1,736,452,800,000 | meta-llama_Meta-Llama-3-8B-Instruct | cards.mmlu.security_studies | card=cards.mmlu.security_studies,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.MMLU.MultipleChoiceTemplatesStructuredWithTopic.enumerator_keyboard_choicesSeparator_newline_shuffleChoices_placeCorrectChoiceFourth,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 4.588727 | {"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": "meta-llama/Meta-Llama-3-8B-Instruct", "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': 0.55, 'accuracy_ci_low': 0.45, 'accuracy_ci_high': 0.64, 'score_name': 'accuracy', 'score': 0.55, 'score_ci_high': 0.64, 'score_ci_low': 0.45, 'num_of_instances': 100} | 1 | a100_80gb |
1755e29e97a4a52c1c9bf561bb23504a935e68da34503f48408d6ff427bde6a4 | 1,736,456,205,874 | 1,736,452,800,000 | meta-llama_Meta-Llama-3-8B-Instruct | cards.mmlu.elementary_mathematics | card=cards.mmlu.elementary_mathematics,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.MMLU.MultipleChoiceTemplatesInstructionsStateHere.enumerator_capitals_choicesSeparator_space_shuffleChoices_placeCorrectChoiceFourth,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 3.405324 | {"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": "meta-llama/Meta-Llama-3-8B-Instruct", "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': 0.55, 'accuracy_ci_low': 0.45, 'accuracy_ci_high': 0.65, 'score_name': 'accuracy', 'score': 0.55, 'score_ci_high': 0.65, 'score_ci_low': 0.45, 'num_of_instances': 100} | 1 | a100_80gb |
3b3c09ae8a6f1dfa93a1649c5bf6db5529dbaccf1fc171985847b06841c35718 | 1,736,456,217,246 | 1,736,452,800,000 | meta-llama_Meta-Llama-3-8B-Instruct | cards.mmlu_pro.chemistry | card=cards.mmlu_pro.chemistry,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MMLU_PRO.MultipleChoiceTemplatesInstructionsWithoutTopicHarness.enumerator_keyboard_choicesSeparator_space_shuffleChoices_lengthSortReverse,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 10.863538 | {"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": "meta-llama/Meta-Llama-3-8B-Instruct", "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': 0.16, 'accuracy_ci_high': 0.32, 'score_name': 'accuracy', 'score': 0.23, 'score_ci_high': 0.32, 'score_ci_low': 0.16, 'num_of_instances': 100} | 1 | a100_80gb |
457fa05eba33c1afcd4b4c472bae62b706dbe04d15cf16d3681212fb5e3e2e5e | 1,736,456,222,056 | 1,736,452,800,000 | meta-llama_Meta-Llama-3-8B-Instruct | cards.mmlu.high_school_microeconomics | card=cards.mmlu.high_school_microeconomics,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.MMLU.MultipleChoiceTemplatesInstructionsWithoutTopicHarness.enumerator_capitals_choicesSeparator_OrCapital_shuffleChoices_lengthSortReverse,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 3.769314 | {"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": "meta-llama/Meta-Llama-3-8B-Instruct", "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': 0.59, 'accuracy_ci_low': 0.49, 'accuracy_ci_high': 0.68, 'score_name': 'accuracy', 'score': 0.59, 'score_ci_high': 0.68, 'score_ci_low': 0.49, 'num_of_instances': 100} | 1 | a100_80gb |
cfbcfc0c0378caca9e041df85744785e397cc6e9e3b06f8eccfe0cfe0c034b11 | 1,736,456,112,446 | 1,736,452,800,000 | meta-llama_Meta-Llama-3-8B-Instruct | 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.MultipleChoiceTemplatesInstructionsWithTopic.enumerator_roman_choicesSeparator_orLower_shuffleChoices_placeCorrectChoiceFirst,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 4.148009 | {"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": "meta-llama/Meta-Llama-3-8B-Instruct", "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': 0.39, 'accuracy_ci_high': 0.59, 'score_name': 'accuracy', 'score': 0.49, 'score_ci_high': 0.59, 'score_ci_low': 0.39, 'num_of_instances': 100} | 1 | a100_80gb |
42fcd160363501c6fd03d68f0babfb2159fa7736c64297c642d63e5dca84ce79 | 1,736,456,116,695 | 1,736,452,800,000 | meta-llama_Meta-Llama-3-8B-Instruct | 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.MultipleChoiceTemplatesInstructionsProSASimple.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 | 3.698161 | {"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": "meta-llama/Meta-Llama-3-8B-Instruct", "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': 0.64, 'accuracy_ci_low': 0.53, 'accuracy_ci_high': 0.73, 'score_name': 'accuracy', 'score': 0.64, 'score_ci_high': 0.73, 'score_ci_low': 0.53, 'num_of_instances': 100} | 1 | a100_80gb |
0e018549a842cf7d5e5621364647874b799312ed25330faab9715200901f5ca9 | 1,736,456,127,294 | 1,736,452,800,000 | meta-llama_Meta-Llama-3-8B-Instruct | cards.mmlu_pro.philosophy | card=cards.mmlu_pro.philosophy,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MMLU_PRO.MultipleChoiceTemplatesInstructionsWithoutTopicHarness.enumerator_greek_choicesSeparator_OrCapital_shuffleChoices_lengthSortReverse,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 9.592618 | {"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": "meta-llama/Meta-Llama-3-8B-Instruct", "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': 0.39, 'score_name': 'accuracy', 'score': 0.29, 'score_ci_high': 0.39, 'score_ci_low': 0.2, 'num_of_instances': 100} | 1 | a100_80gb |
f269ae6da20fbb3c24eac29c7f1e4beab10f493080010a2a794b9afb59748ce8 | 1,736,456,132,922 | 1,736,452,800,000 | meta-llama_Meta-Llama-3-8B-Instruct | cards.mmlu.formal_logic | card=cards.mmlu.formal_logic,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.MMLU.MultipleChoiceTemplatesInstructionsStateBelow.enumerator_lowercase_choicesSeparator_pipe_shuffleChoices_alphabeticalSort,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 4.188121 | {"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": "meta-llama/Meta-Llama-3-8B-Instruct", "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': 0.53, 'score_name': 'accuracy', 'score': 0.43, 'score_ci_high': 0.53, 'score_ci_low': 0.33, 'num_of_instances': 100} | 1 | a100_80gb |
fc31a4a31916b6720c4c18dcea3b19a352a5ecfb70595fc7fbd50869454464d1 | 1,736,456,138,102 | 1,736,452,800,000 | meta-llama_Meta-Llama-3-8B-Instruct | cards.mmlu.security_studies | card=cards.mmlu.security_studies,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.MMLU.MultipleChoiceTemplatesInstructionsStateBelowPlease.enumerator_capitals_choicesSeparator_semicolon_shuffleChoices_lengthSort,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 4.562186 | {"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": "meta-llama/Meta-Llama-3-8B-Instruct", "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': 0.74, 'accuracy_ci_low': 0.65, 'accuracy_ci_high': 0.82, 'score_name': 'accuracy', 'score': 0.74, 'score_ci_high': 0.82, 'score_ci_low': 0.65, 'num_of_instances': 100} | 1 | a100_80gb |
cd7a884e225c6800fd52fc77f4f224ac08e7c039acfdf3f464e0a0604bd395cf | 1,736,456,150,867 | 1,736,452,800,000 | meta-llama_Meta-Llama-3-8B-Instruct | cards.mmlu_pro.physics | card=cards.mmlu_pro.physics,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MMLU_PRO.MultipleChoiceTemplatesInstructionsWithoutTopicHarness.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 | 11.50586 | {"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": "meta-llama/Meta-Llama-3-8B-Instruct", "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': 0.32, 'score_name': 'accuracy', 'score': 0.24, 'score_ci_high': 0.32, 'score_ci_low': 0.16, 'num_of_instances': 100} | 1 | a100_80gb |
41e16c61c3d16270a669d8490d2c77b508e81cd3a9f31ffff525777ab555b445 | 1,736,456,158,370 | 1,736,452,800,000 | meta-llama_Meta-Llama-3-8B-Instruct | cards.mmlu_pro.law | card=cards.mmlu_pro.law,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.MMLU_PRO.MultipleChoiceTemplatesInstructionsStateBelow.enumerator_capitals_choicesSeparator_comma_shuffleChoices_placeCorrectChoiceFirst,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 5.985963 | {"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": "meta-llama/Meta-Llama-3-8B-Instruct", "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': 0.36, 'score_name': 'accuracy', 'score': 0.27, 'score_ci_high': 0.36, 'score_ci_low': 0.19, 'num_of_instances': 100} | 1 | a100_80gb |
4c7fdecefb1c9fd5179b290b6578aa27a630a79aa7225d8a367146aaf2a5503b | 1,736,456,167,515 | 1,736,452,800,000 | meta-llama_Meta-Llama-3-8B-Instruct | 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.MultipleChoiceTemplatesInstructionsWithTopicHelm.enumerator_keyboard_choicesSeparator_orLower_shuffleChoices_lengthSortReverse,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 8.007164 | {"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": "meta-llama/Meta-Llama-3-8B-Instruct", "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': 0.41, 'score_name': 'accuracy', 'score': 0.31, 'score_ci_high': 0.41, 'score_ci_low': 0.22, 'num_of_instances': 100} | 1 | a100_80gb |
94521ffc774250d49eac394b86369ca09c86ecf87a336cbfa087435d433d2fa0 | 1,736,456,175,618 | 1,736,452,800,000 | meta-llama_Meta-Llama-3-8B-Instruct | 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_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 | 7.323424 | {"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": "meta-llama/Meta-Llama-3-8B-Instruct", "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': 0.37, 'score_name': 'accuracy', 'score': 0.27, 'score_ci_high': 0.37, 'score_ci_low': 0.19, 'num_of_instances': 100} | 1 | a100_80gb |
ef47e196e37e9cc0916e373ef749058edafb93ea88ca676bb39e306a1a00fbfd | 1,736,456,182,304 | 1,736,452,800,000 | meta-llama_Meta-Llama-3-8B-Instruct | 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.MultipleChoiceTemplatesInstructionsWithoutTopicFixed.enumerator_capitals_choicesSeparator_orLower_shuffleChoices_placeCorrectChoiceFourth,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 5.300931 | {"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": "meta-llama/Meta-Llama-3-8B-Instruct", "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': 0.8, 'accuracy_ci_low': 0.72, 'accuracy_ci_high': 0.87, 'score_name': 'accuracy', 'score': 0.8, 'score_ci_high': 0.87, 'score_ci_low': 0.72, 'num_of_instances': 100} | 1 | a100_80gb |
6fc515ff575ca13037928ecb3db38b851b3e455a743b825d0ca1ce14769a28bb | 1,736,456,117,182 | 1,736,452,800,000 | meta-llama_Meta-Llama-3-8B-Instruct | 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.MultipleChoiceTemplatesStructuredWithTopic.enumerator_capitals_choicesSeparator_pipe_shuffleChoices_placeCorrectChoiceFourth,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 8.606885 | {"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": "meta-llama/Meta-Llama-3-8B-Instruct", "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': 0.79, 'accuracy_ci_low': 0.71, 'accuracy_ci_high': 0.87, 'score_name': 'accuracy', 'score': 0.79, 'score_ci_high': 0.87, 'score_ci_low': 0.71, 'num_of_instances': 100} | 1 | a100_80gb |
1b7bd990ea3af588643cecab483ee802b1d771dde978bfa71378e8f1d943bd71 | 1,736,456,127,049 | 1,736,452,800,000 | meta-llama_Meta-Llama-3-8B-Instruct | 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_numbers_choicesSeparator_orLower_shuffleChoices_False,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 9.068374 | {"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": "meta-llama/Meta-Llama-3-8B-Instruct", "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': 0.73, 'accuracy_ci_low': 0.64, 'accuracy_ci_high': 0.81, 'score_name': 'accuracy', 'score': 0.73, 'score_ci_high': 0.81, 'score_ci_low': 0.64, 'num_of_instances': 100} | 1 | a100_80gb |
cfb2744c62c927b2fa0ff78df91796eddbe4e15f58c9a88700470fbfdb395da4 | 1,736,456,132,438 | 1,736,452,800,000 | meta-llama_Meta-Llama-3-8B-Instruct | cards.mmlu.public_relations | card=cards.mmlu.public_relations,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.MMLU.MultipleChoiceTemplatesInstructionsStateBelowPlease.enumerator_greek_choicesSeparator_semicolon_shuffleChoices_lengthSort,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 3.424592 | {"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": "meta-llama/Meta-Llama-3-8B-Instruct", "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': 0.52, 'accuracy_ci_high': 0.71, 'score_name': 'accuracy', 'score': 0.62, 'score_ci_high': 0.71, 'score_ci_low': 0.52, 'num_of_instances': 100} | 1 | a100_80gb |
81bf2a28dc8c0fa9c8da36df41b9f97cb863612ba724c1d0cb6f61980f0fe0c5 | 1,736,456,136,714 | 1,736,452,800,000 | meta-llama_Meta-Llama-3-8B-Instruct | cards.mmlu.econometrics | card=cards.mmlu.econometrics,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.MMLU.MultipleChoiceTemplatesInstructionsWithoutTopicHelmFixed.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 | 3.726173 | {"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": "meta-llama/Meta-Llama-3-8B-Instruct", "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': 0.27129279763298325, 'accuracy_ci_high': 0.46, 'score_name': 'accuracy', 'score': 0.37, 'score_ci_high': 0.46, 'score_ci_low': 0.27129279763298325, 'num_of_instances': 100} | 1 | a100_80gb |
d55da7fa3fc680da1889157f2562f29ddb0bbdce63a811ec5f4114e040106cd0 | 1,736,456,142,281 | 1,736,452,800,000 | meta-llama_Meta-Llama-3-8B-Instruct | cards.mmlu_pro.math | card=cards.mmlu_pro.math,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.MMLU_PRO.MultipleChoiceTemplatesInstructionsProSASimple.enumerator_keyboard_choicesSeparator_space_shuffleChoices_alphabeticalSort,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 4.962999 | {"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": "meta-llama/Meta-Llama-3-8B-Instruct", "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': 0.08, 'accuracy_ci_low': 0.04, 'accuracy_ci_high': 0.14672926157896313, 'score_name': 'accuracy', 'score': 0.08, 'score_ci_high': 0.14672926157896313, 'score_ci_low': 0.04, 'num_of_instances': 100} | 1 | a100_80gb |
5d088c6271afc0213f715483d02ffd40622f31ab231c0a8e464e0232afe487d0 | 1,736,456,155,277 | 1,736,452,800,000 | meta-llama_Meta-Llama-3-8B-Instruct | 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.MultipleChoiceTemplatesInstructionsWithoutTopicFixed.enumerator_lowercase_choicesSeparator_comma_shuffleChoices_alphabeticalSortReverse,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 12.385767 | {"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": "meta-llama/Meta-Llama-3-8B-Instruct", "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': 0.3, 'accuracy_ci_low': 0.22, 'accuracy_ci_high': 0.39, 'score_name': 'accuracy', 'score': 0.3, 'score_ci_high': 0.39, 'score_ci_low': 0.22, 'num_of_instances': 100} | 1 | a100_80gb |
72aed67f2590c56a2d4cbb90db6cdabbfc831a36848d7bfe16991dd41586785b | 1,736,456,160,192 | 1,736,452,800,000 | meta-llama_Meta-Llama-3-8B-Instruct | 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.MultipleChoiceTemplatesInstructionsStateHere.enumerator_numbers_choicesSeparator_orLower_shuffleChoices_alphabeticalSort,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 3.885283 | {"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": "meta-llama/Meta-Llama-3-8B-Instruct", "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': 0.5, 'score_name': 'accuracy', 'score': 0.4, 'score_ci_high': 0.5, 'score_ci_low': 0.3, 'num_of_instances': 100} | 1 | a100_80gb |