run_id
large_string
timestamp_utc
int64
timestamp_day_hour_utc
int64
model_name_or_path
large_string
unitxt_card
large_string
unitxt_recipe
large_string
quantization_type
large_string
quantization_bit_count
large_string
inference_runtime_s
float64
generation_args
large_string
model_args
large_string
inference_engine
large_string
packages_versions
large_string
scores
large_string
num_gpu
int64
device
large_string
3ac014c4cd085d50159fa8eacdec540873ccf1709e54389013bf428bb29168cc
1,739,365,344,170
1,739,365,200,000
meta-llama_Llama-3.2-3B-Instruct
cards.global_mmlu.fr.high_school_biology
card=cards.global_mmlu.fr.high_school_biology,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.MMLU.MultipleChoiceTemplatesInstructionsWithoutTopicHelmFixed.enumerator_keyboard_choicesSeparator_space_shuffleChoices_alphabeticalSortReverse,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100,max_train_instances=100,max_validation_instances=100
None
half
3.208487
{"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/Llama-3.2-3B-Instruct", "seed": 0, "device": "auto", "gpu_memory_utilization": 0.7, "max_model_len": 8192, "enable_chunked_prefill": true, "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": "1.17.2"}
{'accuracy': 0.34, 'accuracy_ci_low': 0.25, 'accuracy_ci_high': 0.44, 'score_name': 'accuracy', 'score': 0.34, 'score_ci_high': 0.44, 'score_ci_low': 0.25, 'num_of_instances': 100}
1
a100_80gb
5740a2481245b7874d4e00a8885cf1d229bd3e0e991b492406a921474b8ac302
1,739,365,349,889
1,739,365,200,000
meta-llama_Llama-3.2-3B-Instruct
cards.global_mmlu.it.college_mathematics
card=cards.global_mmlu.it.college_mathematics,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.MMLU.MultipleChoiceTemplatesStructuredWithTopic.enumerator_capitals_choicesSeparator_space_shuffleChoices_lengthSort,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100,max_train_instances=100,max_validation_instances=100
None
half
5.030331
{"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/Llama-3.2-3B-Instruct", "seed": 0, "device": "auto", "gpu_memory_utilization": 0.7, "max_model_len": 8192, "enable_chunked_prefill": true, "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": "1.17.2"}
{'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
00f09b9113a491704d7f3d41a048d546baeedc01eff1052c005aba19e4ab5573
1,739,365,359,103
1,739,365,200,000
meta-llama_Llama-3.2-3B-Instruct
cards.global_mmlu.ja.formal_logic
card=cards.global_mmlu.ja.formal_logic,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MMLU.MultipleChoiceTemplatesInstructionsWithoutTopicHelmFixed.enumerator_roman_choicesSeparator_semicolon_shuffleChoices_alphabeticalSort,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100,max_train_instances=100,max_validation_instances=100
None
half
8.604331
{"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/Llama-3.2-3B-Instruct", "seed": 0, "device": "auto", "gpu_memory_utilization": 0.7, "max_model_len": 8192, "enable_chunked_prefill": true, "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": "1.17.2"}
{'accuracy': 0.3, 'accuracy_ci_low': 0.22, 'accuracy_ci_high': 0.3946715579561783, 'score_name': 'accuracy', 'score': 0.3, 'score_ci_high': 0.3946715579561783, 'score_ci_low': 0.22, 'num_of_instances': 100}
1
a100_80gb
d2e7666f4b7f7b04cc7b6acc512a5c0ccb424794f0633b4e9d04d5754f94edcc
1,739,365,383,459
1,739,365,200,000
meta-llama_Llama-3.2-3B-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.MultipleChoiceTemplatesInstructionsStateBelowPlease.enumerator_lowercase_choicesSeparator_space_shuffleChoices_False,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100,max_train_instances=100,max_validation_instances=100
None
half
3.155499
{"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/Llama-3.2-3B-Instruct", "seed": 0, "device": "auto", "gpu_memory_utilization": 0.7, "max_model_len": 8192, "enable_chunked_prefill": true, "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": "1.17.2"}
{'accuracy': 0.13, 'accuracy_ci_low': 0.07, 'accuracy_ci_high': 0.21, 'score_name': 'accuracy', 'score': 0.13, 'score_ci_high': 0.21, 'score_ci_low': 0.07, 'num_of_instances': 100}
1
a100_80gb
50f4759bdd5aaf1f343f67b18f3880370a2e8fc0a60240cfadcf829c0d33ca45
1,739,365,443,716
1,739,365,200,000
meta-llama_Llama-3.2-3B-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.MultipleChoiceTemplatesInstructionsStateBelowPlease.enumerator_roman_choicesSeparator_orLower_shuffleChoices_False,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100,max_train_instances=100,max_validation_instances=100
None
half
7.511881
{"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/Llama-3.2-3B-Instruct", "seed": 0, "device": "auto", "gpu_memory_utilization": 0.7, "max_model_len": 8192, "enable_chunked_prefill": true, "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": "1.17.2"}
{'accuracy': 0.22, 'accuracy_ci_low': 0.1489805671398006, 'accuracy_ci_high': 0.31, 'score_name': 'accuracy', 'score': 0.22, 'score_ci_high': 0.31, 'score_ci_low': 0.1489805671398006, 'num_of_instances': 100}
1
a100_80gb
618de05f6e8cf41d93614a33b61a55ba9d74c79a3e90b4d1cd8d5678760a3729
1,739,365,484,193
1,739,365,200,000
meta-llama_Llama-3.2-3B-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.MultipleChoiceTemplatesStructuredWithoutTopic.enumerator_greek_choicesSeparator_space_shuffleChoices_False,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100,max_train_instances=100,max_validation_instances=100
None
half
7.014903
{"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/Llama-3.2-3B-Instruct", "seed": 0, "device": "auto", "gpu_memory_utilization": 0.7, "max_model_len": 8192, "enable_chunked_prefill": true, "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": "1.17.2"}
{'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
ce37884f1b9f856931ebb0da4fec73a2358a2894f6693606b3aa315eaf6dfa05
1,739,365,618,841
1,739,365,200,000
meta-llama_Llama-3.2-3B-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.MultipleChoiceTemplatesInstructionsWithTopic.enumerator_roman_choicesSeparator_OrCapital_shuffleChoices_lengthSortReverse,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100,max_train_instances=100,max_validation_instances=100
None
half
2.892251
{"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/Llama-3.2-3B-Instruct", "seed": 0, "device": "auto", "gpu_memory_utilization": 0.7, "max_model_len": 8192, "enable_chunked_prefill": true, "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": "1.17.2"}
{'accuracy': 0.11, 'accuracy_ci_low': 0.06, 'accuracy_ci_high': 0.18, 'score_name': 'accuracy', 'score': 0.11, 'score_ci_high': 0.18, 'score_ci_low': 0.06, 'num_of_instances': 100}
1
a100_80gb
7d055e644caf6c69516e60d0e7d5d77441af50d630b28747a48e496c30fc7f47
1,739,365,648,286
1,739,365,200,000
meta-llama_Llama-3.2-3B-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.MultipleChoiceTemplatesInstructionsStateBelow.enumerator_greek_choicesSeparator_space_shuffleChoices_False,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100,max_train_instances=100,max_validation_instances=100
None
half
2.290955
{"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/Llama-3.2-3B-Instruct", "seed": 0, "device": "auto", "gpu_memory_utilization": 0.7, "max_model_len": 8192, "enable_chunked_prefill": true, "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": "1.17.2"}
{'accuracy': 0.07, 'accuracy_ci_low': 0.03, 'accuracy_ci_high': 0.13527689297222084, 'score_name': 'accuracy', 'score': 0.07, 'score_ci_high': 0.13527689297222084, 'score_ci_low': 0.03, 'num_of_instances': 100}
1
a100_80gb
0be54e1abfb7bd719f8a251e049e181a90d6f95e72531078981f212ee70d836a
1,739,365,668,539
1,739,365,200,000
meta-llama_Llama-3.2-3B-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.MultipleChoiceTemplatesInstructionsWithoutTopicFixed.enumerator_roman_choicesSeparator_comma_shuffleChoices_lengthSort,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100,max_train_instances=100,max_validation_instances=100
None
half
6.977966
{"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/Llama-3.2-3B-Instruct", "seed": 0, "device": "auto", "gpu_memory_utilization": 0.7, "max_model_len": 8192, "enable_chunked_prefill": true, "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": "1.17.2"}
{'accuracy': 0.15, 'accuracy_ci_low': 0.1, 'accuracy_ci_high': 0.24, 'score_name': 'accuracy', 'score': 0.15, 'score_ci_high': 0.24, 'score_ci_low': 0.1, 'num_of_instances': 100}
1
a100_80gb
b90afcbefec103e84215d8499a4398f045c0c6eb5a53e29acfc87535f356877d
1,739,365,387,141
1,739,365,200,000
meta-llama_Llama-3.2-3B-Instruct
cards.mmlu_pro.business
card=cards.mmlu_pro.business,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.MMLU_PRO.MultipleChoiceTemplatesInstructionsStateHere.enumerator_keyboard_choicesSeparator_orLower_shuffleChoices_lengthSort,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100,max_train_instances=100,max_validation_instances=100
None
half
2.976683
{"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/Llama-3.2-3B-Instruct", "seed": 0, "device": "auto", "gpu_memory_utilization": 0.7, "max_model_len": 8192, "enable_chunked_prefill": true, "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": "1.17.2"}
{'accuracy': 0.17, 'accuracy_ci_low': 0.11, 'accuracy_ci_high': 0.26, 'score_name': 'accuracy', 'score': 0.17, 'score_ci_high': 0.26, 'score_ci_low': 0.11, 'num_of_instances': 100}
1
a100_80gb
30b51aef7bb697fb4243180b5169d981c6db059e7c4a393b4aa271c918f21711
1,739,365,394,520
1,739,365,200,000
meta-llama_Llama-3.2-3B-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.MultipleChoiceTemplatesInstructionsStateHere.enumerator_lowercase_choicesSeparator_orLower_shuffleChoices_False,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100,max_train_instances=100,max_validation_instances=100
None
half
6.637274
{"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/Llama-3.2-3B-Instruct", "seed": 0, "device": "auto", "gpu_memory_utilization": 0.7, "max_model_len": 8192, "enable_chunked_prefill": true, "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": "1.17.2"}
{'accuracy': 0.26, 'accuracy_ci_low': 0.19, 'accuracy_ci_high': 0.36, 'score_name': 'accuracy', 'score': 0.26, 'score_ci_high': 0.36, 'score_ci_low': 0.19, 'num_of_instances': 100}
1
a100_80gb
1ffeab0a88585f3b552fd12493a9b0eda8d0546aa58a25a786f1ee8a38b6f93c
1,739,365,412,271
1,739,365,200,000
meta-llama_Llama-3.2-3B-Instruct
cards.global_mmlu.it.high_school_us_history
card=cards.global_mmlu.it.high_school_us_history,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.MMLU.MultipleChoiceTemplatesStructuredWithTopic.enumerator_numbers_choicesSeparator_newline_shuffleChoices_lengthSortReverse,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100,max_train_instances=100,max_validation_instances=100
None
half
5.021255
{"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/Llama-3.2-3B-Instruct", "seed": 0, "device": "auto", "gpu_memory_utilization": 0.7, "max_model_len": 8192, "enable_chunked_prefill": true, "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": "1.17.2"}
{'accuracy': 0.49, 'accuracy_ci_low': 0.39, 'accuracy_ci_high': 0.5873623255504026, 'score_name': 'accuracy', 'score': 0.49, 'score_ci_high': 0.5873623255504026, 'score_ci_low': 0.39, 'num_of_instances': 100}
1
a100_80gb
ba58957863421c20de60755fcad4380983366c381d9858ef4775ef825c75040c
1,739,365,430,958
1,739,365,200,000
meta-llama_Llama-3.2-3B-Instruct
cards.global_mmlu.ar.computer_security
card=cards.global_mmlu.ar.computer_security,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.MMLU.MultipleChoiceTemplatesStructuredWithTopic.enumerator_keyboard_choicesSeparator_OrCapital_shuffleChoices_lengthSortReverse,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100,max_train_instances=100,max_validation_instances=100
None
half
3.618526
{"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/Llama-3.2-3B-Instruct", "seed": 0, "device": "auto", "gpu_memory_utilization": 0.7, "max_model_len": 8192, "enable_chunked_prefill": true, "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": "1.17.2"}
{'accuracy': 0.31, 'accuracy_ci_low': 0.23, 'accuracy_ci_high': 0.4, 'score_name': 'accuracy', 'score': 0.31, 'score_ci_high': 0.4, 'score_ci_low': 0.23, 'num_of_instances': 100}
1
a100_80gb
d720de9ddfc4d0168622a02844d5c50bce7226e268f3cc81ccd4792e15238091
1,739,365,537,023
1,739,365,200,000
meta-llama_Llama-3.2-3B-Instruct
cards.global_mmlu.ar.computer_security
card=cards.global_mmlu.ar.computer_security,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.MMLU.MultipleChoiceTemplatesInstructionsProSASimple.enumerator_greek_choicesSeparator_OrCapital_shuffleChoices_alphabeticalSortReverse,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100,max_train_instances=100,max_validation_instances=100
None
half
4.254553
{"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/Llama-3.2-3B-Instruct", "seed": 0, "device": "auto", "gpu_memory_utilization": 0.7, "max_model_len": 8192, "enable_chunked_prefill": true, "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": "1.17.2"}
{'accuracy': 0.19, 'accuracy_ci_low': 0.12, 'accuracy_ci_high': 0.27316434503865367, 'score_name': 'accuracy', 'score': 0.19, 'score_ci_high': 0.27316434503865367, 'score_ci_low': 0.12, 'num_of_instances': 100}
1
a100_80gb
4fafffd74e9b3d7accd229a2079cc37a846471c6a7a9ad4c71a7c429fe5948f0
1,739,365,461,622
1,739,365,200,000
meta-llama_Llama-3.2-3B-Instruct
cards.global_mmlu.es.sociology
card=cards.global_mmlu.es.sociology,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MMLU.MultipleChoiceTemplatesInstructionsProSASimple.enumerator_roman_choicesSeparator_comma_shuffleChoices_lengthSort,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100,max_train_instances=100,max_validation_instances=100
None
half
12.104128
{"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/Llama-3.2-3B-Instruct", "seed": 0, "device": "auto", "gpu_memory_utilization": 0.7, "max_model_len": 8192, "enable_chunked_prefill": true, "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": "1.17.2"}
{'accuracy': 0.47, 'accuracy_ci_low': 0.38, 'accuracy_ci_high': 0.57, 'score_name': 'accuracy', 'score': 0.47, 'score_ci_high': 0.57, 'score_ci_low': 0.38, 'num_of_instances': 100}
1
a100_80gb
06525a132f8ee4a42227020090837cbd6a98f3480140605bdd110ebbf959f0c4
1,739,365,470,631
1,739,365,200,000
meta-llama_Llama-3.2-3B-Instruct
cards.mmlu_pro.computer_science
card=cards.mmlu_pro.computer_science,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MMLU_PRO.MultipleChoiceTemplatesInstructionsProSACould.enumerator_capitals_choicesSeparator_newline_shuffleChoices_lengthSortReverse,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100,max_train_instances=100,max_validation_instances=100
None
half
7.812826
{"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/Llama-3.2-3B-Instruct", "seed": 0, "device": "auto", "gpu_memory_utilization": 0.7, "max_model_len": 8192, "enable_chunked_prefill": true, "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": "1.17.2"}
{'accuracy': 0.3, 'accuracy_ci_low': 0.21, 'accuracy_ci_high': 0.39, 'score_name': 'accuracy', 'score': 0.3, 'score_ci_high': 0.39, 'score_ci_low': 0.21, 'num_of_instances': 100}
1
a100_80gb
2b4b6a49df55cc86e466f56163749da06ec5a18876ac3d528a348a105662a65e
1,739,365,540,230
1,739,365,200,000
meta-llama_Llama-3.2-3B-Instruct
cards.mmlu_pro.computer_science
card=cards.mmlu_pro.computer_science,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.MMLU_PRO.MultipleChoiceTemplatesInstructionsWithTopic.enumerator_roman_choicesSeparator_orLower_shuffleChoices_lengthSortReverse,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100,max_train_instances=100,max_validation_instances=100
None
half
2.612139
{"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/Llama-3.2-3B-Instruct", "seed": 0, "device": "auto", "gpu_memory_utilization": 0.7, "max_model_len": 8192, "enable_chunked_prefill": true, "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": "1.17.2"}
{'accuracy': 0.07, 'accuracy_ci_low': 0.03, 'accuracy_ci_high': 0.13, 'score_name': 'accuracy', 'score': 0.07, 'score_ci_high': 0.13, 'score_ci_low': 0.03, 'num_of_instances': 100}
1
a100_80gb
64543c90940bd2aec4a19e0d1660f170aa736b30c199a53c01890fcb728ebab6
1,739,365,598,546
1,739,365,200,000
meta-llama_Llama-3.2-3B-Instruct
cards.mmlu_pro.computer_science
card=cards.mmlu_pro.computer_science,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.MMLU_PRO.MultipleChoiceTemplatesStructuredWithoutTopic.enumerator_numbers_choicesSeparator_pipe_shuffleChoices_alphabeticalSort,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100,max_train_instances=100,max_validation_instances=100
None
half
2.708817
{"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/Llama-3.2-3B-Instruct", "seed": 0, "device": "auto", "gpu_memory_utilization": 0.7, "max_model_len": 8192, "enable_chunked_prefill": true, "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": "1.17.2"}
{'accuracy': 0.07, 'accuracy_ci_low': 0.03, 'accuracy_ci_high': 0.14, 'score_name': 'accuracy', 'score': 0.07, 'score_ci_high': 0.14, 'score_ci_low': 0.03, 'num_of_instances': 100}
1
a100_80gb
a61874481528b3b1649d3b14e0bdbb202cb1b11ffc1d5e7dcb2e62648e715a2d
1,739,365,476,021
1,739,365,200,000
meta-llama_Llama-3.2-3B-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.MultipleChoiceTemplatesInstructionsProSAAddress.enumerator_keyboard_choicesSeparator_OrCapital_shuffleChoices_False,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100,max_train_instances=100,max_validation_instances=100
None
half
4.135177
{"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/Llama-3.2-3B-Instruct", "seed": 0, "device": "auto", "gpu_memory_utilization": 0.7, "max_model_len": 8192, "enable_chunked_prefill": true, "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": "1.17.2"}
{'accuracy': 0.13, 'accuracy_ci_low': 0.08, 'accuracy_ci_high': 0.2, 'score_name': 'accuracy', 'score': 0.13, 'score_ci_high': 0.2, 'score_ci_low': 0.08, 'num_of_instances': 100}
1
a100_80gb
34a40044535317c8bc76a73f55872f07cf5ed3c504cc4aa88262ebef573c96ac
1,739,365,489,584
1,739,365,200,000
meta-llama_Llama-3.2-3B-Instruct
cards.race_middle
card=cards.race_middle,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.Race.MultipleChoiceContextTemplateProSACould.enumerator_keyboard_choicesSeparator_newline_shuffleChoices_lengthSort,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100,max_train_instances=100,max_validation_instances=100
None
half
4.231346
{"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/Llama-3.2-3B-Instruct", "seed": 0, "device": "auto", "gpu_memory_utilization": 0.7, "max_model_len": 8192, "enable_chunked_prefill": true, "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": "1.17.2"}
{'accuracy': 0.52, 'accuracy_ci_low': 0.42, 'accuracy_ci_high': 0.62, 'score_name': 'accuracy', 'score': 0.52, 'score_ci_high': 0.62, 'score_ci_low': 0.42, 'num_of_instances': 100}
1
a100_80gb
7eaa3b073cac9c59fb51a5ea85b7f9029867e82e2453cb5bc075607319417e1c
1,739,365,762,979
1,739,365,200,000
meta-llama_Llama-3.2-3B-Instruct
cards.race_middle
card=cards.race_middle,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.Race.MultipleChoiceContextTemplateStateSelect.enumerator_roman_choicesSeparator_newline_shuffleChoices_alphabeticalSort,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100,max_train_instances=100,max_validation_instances=100
None
half
13.634141
{"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/Llama-3.2-3B-Instruct", "seed": 0, "device": "auto", "gpu_memory_utilization": 0.7, "max_model_len": 8192, "enable_chunked_prefill": true, "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": "1.17.2"}
{'accuracy': 0.72, 'accuracy_ci_low': 0.63, 'accuracy_ci_high': 0.8, 'score_name': 'accuracy', 'score': 0.72, 'score_ci_high': 0.8, 'score_ci_low': 0.63, 'num_of_instances': 100}
1
a100_80gb
de9b77bfd1eb18e1be4ec4c2779bd8f6b55ef37e444f5dd237f8d9543dfa2165
1,739,365,497,456
1,739,365,200,000
meta-llama_Llama-3.2-3B-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.MultipleChoiceTemplatesInstructionsProSASimple.enumerator_roman_choicesSeparator_pipe_shuffleChoices_alphabeticalSortReverse,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100,max_train_instances=100,max_validation_instances=100
None
half
7.14643
{"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/Llama-3.2-3B-Instruct", "seed": 0, "device": "auto", "gpu_memory_utilization": 0.7, "max_model_len": 8192, "enable_chunked_prefill": true, "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": "1.17.2"}
{'accuracy': 0.2, 'accuracy_ci_low': 0.13, 'accuracy_ci_high': 0.29, 'score_name': 'accuracy', 'score': 0.2, 'score_ci_high': 0.29, 'score_ci_low': 0.13, 'num_of_instances': 100}
1
a100_80gb
ac9cef583cb057a7bea52031dbbe8e9823e50461432d1ec65e99708e49e2f97b
1,739,365,631,514
1,739,365,200,000
meta-llama_Llama-3.2-3B-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.MultipleChoiceTemplatesInstructionsWithTopicHelm.enumerator_greek_choicesSeparator_space_shuffleChoices_lengthSortReverse,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100,max_train_instances=100,max_validation_instances=100
None
half
3.195126
{"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/Llama-3.2-3B-Instruct", "seed": 0, "device": "auto", "gpu_memory_utilization": 0.7, "max_model_len": 8192, "enable_chunked_prefill": true, "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": "1.17.2"}
{'accuracy': 0.15, 'accuracy_ci_low': 0.09, 'accuracy_ci_high': 0.24, 'score_name': 'accuracy', 'score': 0.15, 'score_ci_high': 0.24, 'score_ci_low': 0.09, 'num_of_instances': 100}
1
a100_80gb
3c2488d2d2989b070514d69eeab8cff0d16d2db67e3cf9e0560e4e8a60cf768e
1,739,365,748,597
1,739,365,200,000
meta-llama_Llama-3.2-3B-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.MultipleChoiceTemplatesInstructionsProSAAddress.enumerator_numbers_choicesSeparator_space_shuffleChoices_False,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100,max_train_instances=100,max_validation_instances=100
None
half
2.988994
{"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/Llama-3.2-3B-Instruct", "seed": 0, "device": "auto", "gpu_memory_utilization": 0.7, "max_model_len": 8192, "enable_chunked_prefill": true, "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": "1.17.2"}
{'accuracy': 0.11, 'accuracy_ci_low': 0.06, 'accuracy_ci_high': 0.19, 'score_name': 'accuracy', 'score': 0.11, 'score_ci_high': 0.19, 'score_ci_low': 0.06, 'num_of_instances': 100}
1
a100_80gb
0e9d111dce581a5b275c2a9cbd942d4af34c0ac9831821ec385c500906f02c5e
1,739,365,510,711
1,739,365,200,000
meta-llama_Llama-3.2-3B-Instruct
cards.global_mmlu_lite_ca.hi
card=cards.global_mmlu_lite_ca.hi,demos_pool_size=100,num_demos=5,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,max_train_instances=100,max_validation_instances=100
None
half
12.097499
{"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/Llama-3.2-3B-Instruct", "seed": 0, "device": "auto", "gpu_memory_utilization": 0.7, "max_model_len": 8192, "enable_chunked_prefill": true, "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": "1.17.2"}
{'accuracy': 0.35, 'accuracy_ci_low': 0.26, 'accuracy_ci_high': 0.44, 'score_name': 'accuracy', 'score': 0.35, 'score_ci_high': 0.44, 'score_ci_low': 0.26, 'num_of_instances': 100}
1
a100_80gb
729e832d056aa76ffdb9b9c5f78429e7c2fedf80531152cdc213d6fdf9ecd23b
1,739,365,531,762
1,739,365,200,000
meta-llama_Llama-3.2-3B-Instruct
cards.global_mmlu.it.high_school_chemistry
card=cards.global_mmlu.it.high_school_chemistry,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MMLU.MultipleChoiceTemplatesInstructionsStateBelow.enumerator_keyboard_choicesSeparator_newline_shuffleChoices_lengthSort,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100,max_train_instances=100,max_validation_instances=100
None
half
7.264724
{"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/Llama-3.2-3B-Instruct", "seed": 0, "device": "auto", "gpu_memory_utilization": 0.7, "max_model_len": 8192, "enable_chunked_prefill": true, "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": "1.17.2"}
{'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
ca5d6b329f9b62c205160c10f7d8ea317610a0bcefb98bf665027f3c412a40c3
1,739,365,565,811
1,739,365,200,000
meta-llama_Llama-3.2-3B-Instruct
cards.global_mmlu_lite_ca.bn
card=cards.global_mmlu_lite_ca.bn,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MMLU.MultipleChoiceTemplatesInstructionsProSACould.enumerator_keyboard_choicesSeparator_newline_shuffleChoices_False,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100,max_train_instances=100,max_validation_instances=100
None
half
24.757581
{"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/Llama-3.2-3B-Instruct", "seed": 0, "device": "auto", "gpu_memory_utilization": 0.7, "max_model_len": 8192, "enable_chunked_prefill": true, "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": "1.17.2"}
{'accuracy': 0.35, 'accuracy_ci_low': 0.25857328421654246, 'accuracy_ci_high': 0.46, 'score_name': 'accuracy', 'score': 0.35, 'score_ci_high': 0.46, 'score_ci_low': 0.25857328421654246, 'num_of_instances': 100}
1
a100_80gb
2c9a79a6f27430327338ec76ac6ef21f58ecf8478ebb31862f72b71f6e1b0bc8
1,739,365,577,862
1,739,365,200,000
meta-llama_Llama-3.2-3B-Instruct
cards.mmlu_pro.health
card=cards.mmlu_pro.health,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MMLU_PRO.MultipleChoiceTemplatesInstructionsProSASimple.enumerator_keyboard_choicesSeparator_newline_shuffleChoices_lengthSortReverse,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100,max_train_instances=100,max_validation_instances=100
None
half
6.015305
{"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/Llama-3.2-3B-Instruct", "seed": 0, "device": "auto", "gpu_memory_utilization": 0.7, "max_model_len": 8192, "enable_chunked_prefill": true, "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": "1.17.2"}
{'accuracy': 0.23, 'accuracy_ci_low': 0.15, 'accuracy_ci_high': 0.32, 'score_name': 'accuracy', 'score': 0.23, 'score_ci_high': 0.32, 'score_ci_low': 0.15, 'num_of_instances': 100}
1
a100_80gb
a80346bde9c591057123463528d3820955334aff672a36e8ec3c59bf427e7396
1,739,365,586,478
1,739,365,200,000
meta-llama_Llama-3.2-3B-Instruct
cards.hellaswag
card=cards.hellaswag,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.HellaSwag.MultipleChoiceTemplatesInstructionsState6.enumerator_numbers_choicesSeparator_newline_shuffleChoices_lengthSortReverse,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100,max_train_instances=100,max_validation_instances=100
None
half
7.57453
{"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/Llama-3.2-3B-Instruct", "seed": 0, "device": "auto", "gpu_memory_utilization": 0.7, "max_model_len": 8192, "enable_chunked_prefill": true, "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": "1.17.2"}
{'accuracy': 0.5, 'accuracy_ci_low': 0.39, 'accuracy_ci_high': 0.59, 'score_name': 'accuracy', 'score': 0.5, 'score_ci_high': 0.59, 'score_ci_low': 0.39, 'num_of_instances': 100}
1
a100_80gb
7a1d12f9fd369aaec7842083d3ff392a3fba756a274c5cbc141b1bcbdbf7a8f3
1,739,365,594,802
1,739,365,200,000
meta-llama_Llama-3.2-3B-Instruct
cards.global_mmlu.hi.electrical_engineering
card=cards.global_mmlu.hi.electrical_engineering,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MMLU.MultipleChoiceTemplatesInstructionsStateBelow.enumerator_greek_choicesSeparator_OrCapital_shuffleChoices_alphabeticalSortReverse,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100,max_train_instances=100,max_validation_instances=100
None
half
7.076318
{"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/Llama-3.2-3B-Instruct", "seed": 0, "device": "auto", "gpu_memory_utilization": 0.7, "max_model_len": 8192, "enable_chunked_prefill": true, "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": "1.17.2"}
{'accuracy': 0.26, 'accuracy_ci_low': 0.18, 'accuracy_ci_high': 0.35, 'score_name': 'accuracy', 'score': 0.26, 'score_ci_high': 0.35, 'score_ci_low': 0.18, 'num_of_instances': 100}
1
a100_80gb
318c43317531c823220ad2003f314dbe142fc519557267953a905040bfec12e4
1,739,365,602,160
1,739,365,200,000
meta-llama_Llama-3.2-3B-Instruct
cards.global_mmlu.es.electrical_engineering
card=cards.global_mmlu.es.electrical_engineering,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.MMLU.MultipleChoiceTemplatesInstructionsWithoutTopicHarness.enumerator_numbers_choicesSeparator_space_shuffleChoices_lengthSortReverse,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100,max_train_instances=100,max_validation_instances=100
None
half
2.824981
{"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/Llama-3.2-3B-Instruct", "seed": 0, "device": "auto", "gpu_memory_utilization": 0.7, "max_model_len": 8192, "enable_chunked_prefill": true, "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": "1.17.2"}
{'accuracy': 0.38, 'accuracy_ci_low': 0.29, 'accuracy_ci_high': 0.47, 'score_name': 'accuracy', 'score': 0.38, 'score_ci_high': 0.47, 'score_ci_low': 0.29, 'num_of_instances': 100}
1
a100_80gb
0e767fba4c3aaeb312d30e859854ab9092f15ad95651630af67c2858df291bc2
1,739,365,624,611
1,739,365,200,000
meta-llama_Llama-3.2-3B-Instruct
cards.global_mmlu.ar.electrical_engineering
card=cards.global_mmlu.ar.electrical_engineering,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MMLU.MultipleChoiceTemplatesInstructionsStateBelowPlease.enumerator_keyboard_choicesSeparator_newline_shuffleChoices_lengthSort,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100,max_train_instances=100,max_validation_instances=100
None
half
5.07059
{"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/Llama-3.2-3B-Instruct", "seed": 0, "device": "auto", "gpu_memory_utilization": 0.7, "max_model_len": 8192, "enable_chunked_prefill": true, "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": "1.17.2"}
{'accuracy': 0.39, 'accuracy_ci_low': 0.3, 'accuracy_ci_high': 0.5, 'score_name': 'accuracy', 'score': 0.39, 'score_ci_high': 0.5, 'score_ci_low': 0.3, 'num_of_instances': 100}
1
a100_80gb
3e57baf36f2253db06d43fd87095f5290b2771e71bf354981cc5c131ea6553e4
1,739,365,637,334
1,739,365,200,000
meta-llama_Llama-3.2-3B-Instruct
cards.global_mmlu.id.business_ethics
card=cards.global_mmlu.id.business_ethics,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.MMLU.MultipleChoiceTemplatesInstructionsProSACould.enumerator_keyboard_choicesSeparator_comma_shuffleChoices_lengthSort,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100,max_train_instances=100,max_validation_instances=100
None
half
5.065035
{"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/Llama-3.2-3B-Instruct", "seed": 0, "device": "auto", "gpu_memory_utilization": 0.7, "max_model_len": 8192, "enable_chunked_prefill": true, "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": "1.17.2"}
{'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
951bf5c9d9b20751eec1d24c464ef8e9b073901343ec4e0f130c78cfcd972807
1,739,365,653,593
1,739,365,200,000
meta-llama_Llama-3.2-3B-Instruct
cards.global_mmlu.sw.public_relations
card=cards.global_mmlu.sw.public_relations,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.MMLU.MultipleChoiceTemplatesInstructionsStateHere.enumerator_roman_choicesSeparator_space_shuffleChoices_lengthSort,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100,max_train_instances=100,max_validation_instances=100
None
half
4.591322
{"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/Llama-3.2-3B-Instruct", "seed": 0, "device": "auto", "gpu_memory_utilization": 0.7, "max_model_len": 8192, "enable_chunked_prefill": true, "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": "1.17.2"}
{'accuracy': 0.25, 'accuracy_ci_low': 0.17, 'accuracy_ci_high': 0.34, 'score_name': 'accuracy', 'score': 0.25, 'score_ci_high': 0.34, 'score_ci_low': 0.17, 'num_of_instances': 100}
1
a100_80gb
2762c6193cd6dfc38a6f601609842751b45b25f2f064d8cecc4c30749ffc9e3b
1,739,365,695,074
1,739,365,200,000
meta-llama_Llama-3.2-3B-Instruct
cards.global_mmlu.de.clinical_knowledge
card=cards.global_mmlu.de.clinical_knowledge,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.MMLU.MultipleChoiceTemplatesInstructionsWithoutTopicHarness.enumerator_roman_choicesSeparator_newline_shuffleChoices_lengthSort,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100,max_train_instances=100,max_validation_instances=100
None
half
2.84684
{"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/Llama-3.2-3B-Instruct", "seed": 0, "device": "auto", "gpu_memory_utilization": 0.7, "max_model_len": 8192, "enable_chunked_prefill": true, "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": "1.17.2"}
{'accuracy': 0.34, 'accuracy_ci_low': 0.25, 'accuracy_ci_high': 0.43, 'score_name': 'accuracy', 'score': 0.34, 'score_ci_high': 0.43, 'score_ci_low': 0.25, 'num_of_instances': 100}
1
a100_80gb
4cd464cb9bbf4565254b784c6c698959cc32d5211d8248683b21a89875c313cb
1,739,365,699,475
1,739,365,200,000
meta-llama_Llama-3.2-3B-Instruct
cards.global_mmlu.bn.high_school_geography
card=cards.global_mmlu.bn.high_school_geography,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.MMLU.MultipleChoiceTemplatesInstructionsWithoutTopicHarness.enumerator_numbers_choicesSeparator_comma_shuffleChoices_alphabeticalSort,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100,max_train_instances=100,max_validation_instances=100
None
half
3.75914
{"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/Llama-3.2-3B-Instruct", "seed": 0, "device": "auto", "gpu_memory_utilization": 0.7, "max_model_len": 8192, "enable_chunked_prefill": true, "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": "1.17.2"}
{'accuracy': 0.36, 'accuracy_ci_low': 0.27, 'accuracy_ci_high': 0.46791036226180266, 'score_name': 'accuracy', 'score': 0.36, 'score_ci_high': 0.46791036226180266, 'score_ci_low': 0.27, 'num_of_instances': 100}
1
a100_80gb
9f9c069329dd2a11d964567af716aa7d5e5baf6fe61500d89f64417a58161906
1,739,365,726,892
1,739,365,200,000
meta-llama_Llama-3.2-3B-Instruct
cards.global_mmlu.bn.high_school_geography
card=cards.global_mmlu.bn.high_school_geography,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MMLU.MultipleChoiceTemplatesInstructionsProSAAddress.enumerator_capitals_choicesSeparator_comma_shuffleChoices_False,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100,max_train_instances=100,max_validation_instances=100
None
half
14.159701
{"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/Llama-3.2-3B-Instruct", "seed": 0, "device": "auto", "gpu_memory_utilization": 0.7, "max_model_len": 8192, "enable_chunked_prefill": true, "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": "1.17.2"}
{'accuracy': 0.46, 'accuracy_ci_low': 0.37, 'accuracy_ci_high': 0.55, 'score_name': 'accuracy', 'score': 0.46, 'score_ci_high': 0.55, 'score_ci_low': 0.37, 'num_of_instances': 100}
1
a100_80gb
78160630e8fe81a5bd0293ba3b6457b6fdd35fc9e62f16ce7adf99df21ee2bf6
1,739,365,705,702
1,739,365,200,000
meta-llama_Llama-3.2-3B-Instruct
cards.global_mmlu.id.high_school_chemistry
card=cards.global_mmlu.id.high_school_chemistry,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MMLU.MultipleChoiceTemplatesInstructionsWithoutTopicFixed.enumerator_capitals_choicesSeparator_newline_shuffleChoices_lengthSortReverse,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100,max_train_instances=100,max_validation_instances=100
None
half
5.577835
{"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/Llama-3.2-3B-Instruct", "seed": 0, "device": "auto", "gpu_memory_utilization": 0.7, "max_model_len": 8192, "enable_chunked_prefill": true, "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": "1.17.2"}
{'accuracy': 0.33, 'accuracy_ci_low': 0.25, 'accuracy_ci_high': 0.42, 'score_name': 'accuracy', 'score': 0.33, 'score_ci_high': 0.42, 'score_ci_low': 0.25, 'num_of_instances': 100}
1
a100_80gb
0481dcd84b415e64490b555d9c4bee71707965b1dd3f36b16cdcecd296f1ecdf
1,739,365,738,343
1,739,365,200,000
meta-llama_Llama-3.2-3B-Instruct
cards.mmlu.high_school_biology
card=cards.mmlu.high_school_biology,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MMLU.MultipleChoiceTemplatesInstructionsWithoutTopicFixed.enumerator_keyboard_choicesSeparator_newline_shuffleChoices_False,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100,max_train_instances=100,max_validation_instances=100
None
half
5.492039
{"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/Llama-3.2-3B-Instruct", "seed": 0, "device": "auto", "gpu_memory_utilization": 0.7, "max_model_len": 8192, "enable_chunked_prefill": true, "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": "1.17.2"}
{'accuracy': 0.51, 'accuracy_ci_low': 0.4018313935910439, 'accuracy_ci_high': 0.61, 'score_name': 'accuracy', 'score': 0.51, 'score_ci_high': 0.61, 'score_ci_low': 0.4018313935910439, 'num_of_instances': 100}
1
a100_80gb
0d9bb3cca17c7fe426df68f5efb420a8b5ad4f867c024a16a4f40dfc4b184125
1,739,365,744,964
1,739,365,200,000
meta-llama_Llama-3.2-3B-Instruct
cards.global_mmlu.fr.clinical_knowledge
card=cards.global_mmlu.fr.clinical_knowledge,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.MMLU.MultipleChoiceTemplatesInstructionsProSAAddress.enumerator_keyboard_choicesSeparator_space_shuffleChoices_alphabeticalSort,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100,max_train_instances=100,max_validation_instances=100
None
half
2.971144
{"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/Llama-3.2-3B-Instruct", "seed": 0, "device": "auto", "gpu_memory_utilization": 0.7, "max_model_len": 8192, "enable_chunked_prefill": true, "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": "1.17.2"}
{'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
c9e7c076ee22f271a32e2300a963dae57763eeec82f9f54e44a40ce9a8dab27a
1,739,365,768,490
1,739,365,200,000
meta-llama_Llama-3.2-3B-Instruct
cards.global_mmlu_lite_cs.hi
card=cards.global_mmlu_lite_cs.hi,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.MMLU.MultipleChoiceTemplatesStructuredWithoutTopic.enumerator_keyboard_choicesSeparator_semicolon_shuffleChoices_alphabeticalSort,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100,max_train_instances=100,max_validation_instances=100
None
half
3.502851
{"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/Llama-3.2-3B-Instruct", "seed": 0, "device": "auto", "gpu_memory_utilization": 0.7, "max_model_len": 8192, "enable_chunked_prefill": true, "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": "1.17.2"}
{'accuracy': 0.23, 'accuracy_ci_low': 0.15, 'accuracy_ci_high': 0.33, 'score_name': 'accuracy', 'score': 0.23, 'score_ci_high': 0.33, 'score_ci_low': 0.15, 'num_of_instances': 100}
1
a100_80gb
4fa1ef45b685c46cf36ffa233ef514a6ffe562edc03e84867eeb25e9f66ff11c
1,739,365,202,919
1,739,365,200,000
meta-llama_Llama-3.2-3B-Instruct
cards.global_mmlu_lite_ca.it
card=cards.global_mmlu_lite_ca.it,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.MMLU.MultipleChoiceTemplatesInstructionsProSASimple.enumerator_greek_choicesSeparator_comma_shuffleChoices_False,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100,max_train_instances=100,max_validation_instances=100
None
half
3.607402
{"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/Llama-3.2-3B-Instruct", "seed": 0, "device": "auto", "gpu_memory_utilization": 0.7, "max_model_len": 8192, "enable_chunked_prefill": true, "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": "1.17.2"}
{'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
a91c9adbe389af53ba3d2fc75182080063713b28deecfb8f1b21448e4ea440b6
1,739,365,216,904
1,739,365,200,000
meta-llama_Llama-3.2-3B-Instruct
cards.race_middle
card=cards.race_middle,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.Race.MultipleChoiceContextTemplateStateMultipleChoice.enumerator_capitals_choicesSeparator_comma_shuffleChoices_alphabeticalSortReverse,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100,max_train_instances=100,max_validation_instances=100
None
half
13.25078
{"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/Llama-3.2-3B-Instruct", "seed": 0, "device": "auto", "gpu_memory_utilization": 0.7, "max_model_len": 8192, "enable_chunked_prefill": true, "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": "1.17.2"}
{'accuracy': 0.7, 'accuracy_ci_low': 0.61, 'accuracy_ci_high': 0.786733211581759, 'score_name': 'accuracy', 'score': 0.7, 'score_ci_high': 0.786733211581759, 'score_ci_low': 0.61, 'num_of_instances': 100}
1
a100_80gb
7f033e6c75cb13f2c01703f4c4c8023ce8a5586254742376bbcb1323dcb78f49
1,739,365,224,466
1,739,365,200,000
meta-llama_Llama-3.2-3B-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_lowercase_choicesSeparator_semicolon_shuffleChoices_alphabeticalSortReverse,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100,max_train_instances=100,max_validation_instances=100
None
half
5.723054
{"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/Llama-3.2-3B-Instruct", "seed": 0, "device": "auto", "gpu_memory_utilization": 0.7, "max_model_len": 8192, "enable_chunked_prefill": true, "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": "1.17.2"}
{'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
0b21c04e668226df6121e39e5f3a079770e93babf4e0e60e7127534d26424509
1,739,365,231,616
1,739,365,200,000
meta-llama_Llama-3.2-3B-Instruct
cards.global_mmlu.ko.high_school_chemistry
card=cards.global_mmlu.ko.high_school_chemistry,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MMLU.MultipleChoiceTemplatesInstructionsProSASimple.enumerator_roman_choicesSeparator_semicolon_shuffleChoices_alphabeticalSortReverse,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100,max_train_instances=100,max_validation_instances=100
None
half
6.059881
{"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/Llama-3.2-3B-Instruct", "seed": 0, "device": "auto", "gpu_memory_utilization": 0.7, "max_model_len": 8192, "enable_chunked_prefill": true, "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": "1.17.2"}
{'accuracy': 0.32, 'accuracy_ci_low': 0.23, 'accuracy_ci_high': 0.41, 'score_name': 'accuracy', 'score': 0.32, 'score_ci_high': 0.41, 'score_ci_low': 0.23, 'num_of_instances': 100}
1
a100_80gb
94adb627be5292fc753ebd4b10108e7fa58c4e29a31b0a9b5cc6fea5104c128d
1,739,365,239,749
1,739,365,200,000
meta-llama_Llama-3.2-3B-Instruct
cards.mmlu_pro.psychology
card=cards.mmlu_pro.psychology,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MMLU_PRO.MultipleChoiceTemplatesInstructionsWithTopic.enumerator_greek_choicesSeparator_orLower_shuffleChoices_lengthSortReverse,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100,max_train_instances=100,max_validation_instances=100
None
half
7.186862
{"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/Llama-3.2-3B-Instruct", "seed": 0, "device": "auto", "gpu_memory_utilization": 0.7, "max_model_len": 8192, "enable_chunked_prefill": true, "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": "1.17.2"}
{'accuracy': 0.25, 'accuracy_ci_low': 0.17, 'accuracy_ci_high': 0.34, 'score_name': 'accuracy', 'score': 0.25, 'score_ci_high': 0.34, 'score_ci_low': 0.17, 'num_of_instances': 100}
1
a100_80gb
01352b96a1d8195c8fdef056bd9d09cde71581aa8cb35d422ef3b7ecd40d5135
1,739,365,244,018
1,739,365,200,000
meta-llama_Llama-3.2-3B-Instruct
cards.mmlu_pro.psychology
card=cards.mmlu_pro.psychology,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.MMLU_PRO.MultipleChoiceTemplatesInstructionsWithTopic.enumerator_keyboard_choicesSeparator_orLower_shuffleChoices_alphabeticalSortReverse,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100,max_train_instances=100,max_validation_instances=100
None
half
2.931231
{"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/Llama-3.2-3B-Instruct", "seed": 0, "device": "auto", "gpu_memory_utilization": 0.7, "max_model_len": 8192, "enable_chunked_prefill": true, "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": "1.17.2"}
{'accuracy': 0.2, 'accuracy_ci_low': 0.13, 'accuracy_ci_high': 0.28, 'score_name': 'accuracy', 'score': 0.2, 'score_ci_high': 0.28, 'score_ci_low': 0.13, 'num_of_instances': 100}
1
a100_80gb
de45c4c5aaa35c57737088ab4277f805f9fa57e219184ec1b0dc3de68f6070c6
1,739,365,452,499
1,739,365,200,000
meta-llama_Llama-3.2-3B-Instruct
cards.mmlu_pro.psychology
card=cards.mmlu_pro.psychology,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.MMLU_PRO.MultipleChoiceTemplatesStructuredWithoutTopic.enumerator_numbers_choicesSeparator_OrCapital_shuffleChoices_lengthSortReverse,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100,max_train_instances=100,max_validation_instances=100
None
half
3.118463
{"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/Llama-3.2-3B-Instruct", "seed": 0, "device": "auto", "gpu_memory_utilization": 0.7, "max_model_len": 8192, "enable_chunked_prefill": true, "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": "1.17.2"}
{'accuracy': 0.26, 'accuracy_ci_low': 0.18, 'accuracy_ci_high': 0.35, 'score_name': 'accuracy', 'score': 0.26, 'score_ci_high': 0.35, 'score_ci_low': 0.18, 'num_of_instances': 100}
1
a100_80gb
c3f50314d9d083f0ef36c65dadd61ef6040b65ec2e800b4d8427395b7fb42e16
1,739,365,249,460
1,739,365,200,000
meta-llama_Llama-3.2-3B-Instruct
cards.global_mmlu.ja.sociology
card=cards.global_mmlu.ja.sociology,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.MMLU.MultipleChoiceTemplatesInstructionsProSAAddress.enumerator_keyboard_choicesSeparator_comma_shuffleChoices_lengthSortReverse,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100,max_train_instances=100,max_validation_instances=100
None
half
4.546551
{"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/Llama-3.2-3B-Instruct", "seed": 0, "device": "auto", "gpu_memory_utilization": 0.7, "max_model_len": 8192, "enable_chunked_prefill": true, "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": "1.17.2"}
{'accuracy': 0.25, 'accuracy_ci_low': 0.17, 'accuracy_ci_high': 0.34, 'score_name': 'accuracy', 'score': 0.25, 'score_ci_high': 0.34, 'score_ci_low': 0.17, 'num_of_instances': 100}
1
a100_80gb
49600775efbad9eaef9550e2fc7ca50c5fce1cb7008ba2dcef69b82d09c91bb4
1,739,365,254,607
1,739,365,200,000
meta-llama_Llama-3.2-3B-Instruct
cards.global_mmlu.pt.professional_psychology
card=cards.global_mmlu.pt.professional_psychology,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.MMLU.MultipleChoiceTemplatesInstructionsWithoutTopicHelmFixed.enumerator_capitals_choicesSeparator_space_shuffleChoices_alphabeticalSort,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100,max_train_instances=100,max_validation_instances=100
None
half
4.465691
{"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/Llama-3.2-3B-Instruct", "seed": 0, "device": "auto", "gpu_memory_utilization": 0.7, "max_model_len": 8192, "enable_chunked_prefill": true, "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": "1.17.2"}
{'accuracy': 0.37, 'accuracy_ci_low': 0.28, 'accuracy_ci_high': 0.4769110913063241, 'score_name': 'accuracy', 'score': 0.37, 'score_ci_high': 0.4769110913063241, 'score_ci_low': 0.28, 'num_of_instances': 100}
1
a100_80gb
5b0d892a19ca88bbc8b9828758ae2dbde66fd1170a4d3ef5c893e6cb54cc6ce3
1,739,365,258,133
1,739,365,200,000
meta-llama_Llama-3.2-3B-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.MultipleChoiceTemplatesInstructionsWithTopicHelm.enumerator_lowercase_choicesSeparator_newline_shuffleChoices_alphabeticalSortReverse,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100,max_train_instances=100,max_validation_instances=100
None
half
2.857173
{"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/Llama-3.2-3B-Instruct", "seed": 0, "device": "auto", "gpu_memory_utilization": 0.7, "max_model_len": 8192, "enable_chunked_prefill": true, "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": "1.17.2"}
{'accuracy': 0.27, 'accuracy_ci_low': 0.19, 'accuracy_ci_high': 0.36574246844945607, 'score_name': 'accuracy', 'score': 0.27, 'score_ci_high': 0.36574246844945607, 'score_ci_low': 0.19, 'num_of_instances': 100}
1
a100_80gb
11a73cd8bcdbad6dc003aa11ca1217a99170738b65cb0d19093776005426be02
1,739,365,265,961
1,739,365,200,000
meta-llama_Llama-3.2-3B-Instruct
cards.global_mmlu.ar.high_school_chemistry
card=cards.global_mmlu.ar.high_school_chemistry,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MMLU.MultipleChoiceTemplatesInstructionsWithoutTopicHarness.enumerator_roman_choicesSeparator_comma_shuffleChoices_False,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100,max_train_instances=100,max_validation_instances=100
None
half
6.942699
{"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/Llama-3.2-3B-Instruct", "seed": 0, "device": "auto", "gpu_memory_utilization": 0.7, "max_model_len": 8192, "enable_chunked_prefill": true, "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": "1.17.2"}
{'accuracy': 0.3, 'accuracy_ci_low': 0.22, 'accuracy_ci_high': 0.4, 'score_name': 'accuracy', 'score': 0.3, 'score_ci_high': 0.4, 'score_ci_low': 0.22, 'num_of_instances': 100}
1
a100_80gb
45fb1e00c1b7d113a0ce00938b281150b1301927590e89df1322b307ea699d78
1,739,365,277,268
1,739,365,200,000
meta-llama_Llama-3.2-3B-Instruct
cards.mmlu_pro.law
card=cards.mmlu_pro.law,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MMLU_PRO.MultipleChoiceTemplatesInstructionsStateBelowPlease.enumerator_lowercase_choicesSeparator_comma_shuffleChoices_alphabeticalSort,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100,max_train_instances=100,max_validation_instances=100
None
half
10.311887
{"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/Llama-3.2-3B-Instruct", "seed": 0, "device": "auto", "gpu_memory_utilization": 0.7, "max_model_len": 8192, "enable_chunked_prefill": true, "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": "1.17.2"}
{'accuracy': 0.22, 'accuracy_ci_low': 0.14, 'accuracy_ci_high': 0.31, 'score_name': 'accuracy', 'score': 0.22, 'score_ci_high': 0.31, 'score_ci_low': 0.14, 'num_of_instances': 100}
1
a100_80gb
cd7f8e26b3b2bea5a6ee327a19e60f274fb9f49dc5114d3da921673c30d70538
1,739,365,287,473
1,739,365,200,000
meta-llama_Llama-3.2-3B-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.MultipleChoiceTemplatesInstructionsWithTopic.enumerator_capitals_choicesSeparator_orLower_shuffleChoices_alphabeticalSort,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100,max_train_instances=100,max_validation_instances=100
None
half
8.419723
{"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/Llama-3.2-3B-Instruct", "seed": 0, "device": "auto", "gpu_memory_utilization": 0.7, "max_model_len": 8192, "enable_chunked_prefill": true, "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": "1.17.2"}
{'accuracy': 0.13, 'accuracy_ci_low': 0.07, 'accuracy_ci_high': 0.2, 'score_name': 'accuracy', 'score': 0.13, 'score_ci_high': 0.2, 'score_ci_low': 0.07, 'num_of_instances': 100}
1
a100_80gb
5ec80fa39183cbee382be06ad74349fd469a554c8cedf7b6bf093d9758616ad9
1,739,365,613,888
1,739,365,200,000
meta-llama_Llama-3.2-3B-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.MultipleChoiceTemplatesInstructionsWithTopic.enumerator_numbers_choicesSeparator_newline_shuffleChoices_lengthSort,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100,max_train_instances=100,max_validation_instances=100
None
half
8.467208
{"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/Llama-3.2-3B-Instruct", "seed": 0, "device": "auto", "gpu_memory_utilization": 0.7, "max_model_len": 8192, "enable_chunked_prefill": true, "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": "1.17.2"}
{'accuracy': 0.15, 'accuracy_ci_low': 0.09, 'accuracy_ci_high': 0.22010079485075948, 'score_name': 'accuracy', 'score': 0.15, 'score_ci_high': 0.22010079485075948, 'score_ci_low': 0.09, 'num_of_instances': 100}
1
a100_80gb
ec7e8d79e485295209512ebd00c263b923b2b681e2c32b707d4e2aeb4651eace
1,739,365,292,092
1,739,365,200,000
meta-llama_Llama-3.2-3B-Instruct
cards.global_mmlu.fr.econometrics
card=cards.global_mmlu.fr.econometrics,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.MMLU.MultipleChoiceTemplatesInstructionsStateHere.enumerator_numbers_choicesSeparator_semicolon_shuffleChoices_lengthSortReverse,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100,max_train_instances=100,max_validation_instances=100
None
half
3.410101
{"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/Llama-3.2-3B-Instruct", "seed": 0, "device": "auto", "gpu_memory_utilization": 0.7, "max_model_len": 8192, "enable_chunked_prefill": true, "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": "1.17.2"}
{'accuracy': 0.23, 'accuracy_ci_low': 0.16, 'accuracy_ci_high': 0.33, 'score_name': 'accuracy', 'score': 0.23, 'score_ci_high': 0.33, 'score_ci_low': 0.16, 'num_of_instances': 100}
1
a100_80gb
4770d968eb1e74875b4dd66223a12687b885c647677ee239b53446b8a54320bc
1,739,365,298,612
1,739,365,200,000
meta-llama_Llama-3.2-3B-Instruct
cards.global_mmlu.fr.high_school_chemistry
card=cards.global_mmlu.fr.high_school_chemistry,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MMLU.MultipleChoiceTemplatesInstructionsWithoutTopicHarness.enumerator_capitals_choicesSeparator_semicolon_shuffleChoices_lengthSort,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100,max_train_instances=100,max_validation_instances=100
None
half
5.802336
{"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/Llama-3.2-3B-Instruct", "seed": 0, "device": "auto", "gpu_memory_utilization": 0.7, "max_model_len": 8192, "enable_chunked_prefill": true, "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": "1.17.2"}
{'accuracy': 0.46, 'accuracy_ci_low': 0.3554395487705951, 'accuracy_ci_high': 0.56, 'score_name': 'accuracy', 'score': 0.46, 'score_ci_high': 0.56, 'score_ci_low': 0.3554395487705951, 'num_of_instances': 100}
1
a100_80gb
c17eca26b01e674fa1dfc059abe997ea5ba6ba212e2c70c3019d5d2f8ad99b6d
1,739,365,309,906
1,739,365,200,000
meta-llama_Llama-3.2-3B-Instruct
cards.global_mmlu.hi.college_mathematics
card=cards.global_mmlu.hi.college_mathematics,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MMLU.MultipleChoiceTemplatesInstructionsWithoutTopicHelmFixed.enumerator_greek_choicesSeparator_comma_shuffleChoices_False,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100,max_train_instances=100,max_validation_instances=100
None
half
10.267952
{"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/Llama-3.2-3B-Instruct", "seed": 0, "device": "auto", "gpu_memory_utilization": 0.7, "max_model_len": 8192, "enable_chunked_prefill": true, "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": "1.17.2"}
{'accuracy': 0.26, 'accuracy_ci_low': 0.18, 'accuracy_ci_high': 0.35, 'score_name': 'accuracy', 'score': 0.26, 'score_ci_high': 0.35, 'score_ci_low': 0.18, 'num_of_instances': 100}
1
a100_80gb
468410f328bb0a95b080cd346f09d976b2d320da22a4edc7ae57b300344c4676
1,739,365,319,430
1,739,365,200,000
meta-llama_Llama-3.2-3B-Instruct
cards.global_mmlu.hi.econometrics
card=cards.global_mmlu.hi.econometrics,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MMLU.MultipleChoiceTemplatesInstructionsWithoutTopicHarness.enumerator_capitals_choicesSeparator_newline_shuffleChoices_lengthSortReverse,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100,max_train_instances=100,max_validation_instances=100
None
half
8.334912
{"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/Llama-3.2-3B-Instruct", "seed": 0, "device": "auto", "gpu_memory_utilization": 0.7, "max_model_len": 8192, "enable_chunked_prefill": true, "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": "1.17.2"}
{'accuracy': 0.29, 'accuracy_ci_low': 0.21, 'accuracy_ci_high': 0.38, 'score_name': 'accuracy', 'score': 0.29, 'score_ci_high': 0.38, 'score_ci_low': 0.21, 'num_of_instances': 100}
1
a100_80gb
3cc0897e46d26ffd1f380f34cfc4447d450e02b29fe4e406e3794ddbe7c5d5c7
1,739,365,325,852
1,739,365,200,000
meta-llama_Llama-3.2-3B-Instruct
cards.global_mmlu_lite_cs.bn
card=cards.global_mmlu_lite_cs.bn,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.MMLU.MultipleChoiceTemplatesStructuredWithTopic.enumerator_keyboard_choicesSeparator_comma_shuffleChoices_alphabeticalSortReverse,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100,max_train_instances=100,max_validation_instances=100
None
half
5.132612
{"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/Llama-3.2-3B-Instruct", "seed": 0, "device": "auto", "gpu_memory_utilization": 0.7, "max_model_len": 8192, "enable_chunked_prefill": true, "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": "1.17.2"}
{'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
156d5b895923ce39fbf27956b865a2920b2daf6c546424befb0de9f37080f1d0
1,739,365,330,804
1,739,365,200,000
meta-llama_Llama-3.2-3B-Instruct
cards.mmlu_pro.history
card=cards.mmlu_pro.history,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.MMLU_PRO.MultipleChoiceTemplatesStructuredWithTopic.enumerator_keyboard_choicesSeparator_space_shuffleChoices_alphabeticalSortReverse,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100,max_train_instances=100,max_validation_instances=100
None
half
4.097894
{"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/Llama-3.2-3B-Instruct", "seed": 0, "device": "auto", "gpu_memory_utilization": 0.7, "max_model_len": 8192, "enable_chunked_prefill": true, "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": "1.17.2"}
{'accuracy': 0.19, 'accuracy_ci_low': 0.12, 'accuracy_ci_high': 0.28, 'score_name': 'accuracy', 'score': 0.19, 'score_ci_high': 0.28, 'score_ci_low': 0.12, 'num_of_instances': 100}
1
a100_80gb
02a50752b1e82c4a06267ee093bcf607b2958334871f2cab825aea8879f85f22
1,739,365,404,967
1,739,365,200,000
meta-llama_Llama-3.2-3B-Instruct
cards.mmlu_pro.history
card=cards.mmlu_pro.history,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MMLU_PRO.MultipleChoiceTemplatesInstructionsWithoutTopicHelmFixed.enumerator_lowercase_choicesSeparator_newline_shuffleChoices_lengthSortReverse,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100,max_train_instances=100,max_validation_instances=100
None
half
13.325909
{"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/Llama-3.2-3B-Instruct", "seed": 0, "device": "auto", "gpu_memory_utilization": 0.7, "max_model_len": 8192, "enable_chunked_prefill": true, "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": "1.17.2"}
{'accuracy': 0.3, 'accuracy_ci_low': 0.22, 'accuracy_ci_high': 0.41, 'score_name': 'accuracy', 'score': 0.3, 'score_ci_high': 0.41, 'score_ci_low': 0.22, 'num_of_instances': 100}
1
a100_80gb
223c41031d4b385c817d168f94c8e1bbe63434f717fd1f9fbc8982ca09ee42b2
1,739,365,527,671
1,739,365,200,000
meta-llama_Llama-3.2-3B-Instruct
cards.mmlu_pro.history
card=cards.mmlu_pro.history,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.MMLU_PRO.MultipleChoiceTemplatesInstructionsProSACould.enumerator_greek_choicesSeparator_comma_shuffleChoices_alphabeticalSort,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100,max_train_instances=100,max_validation_instances=100
None
half
3.285918
{"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/Llama-3.2-3B-Instruct", "seed": 0, "device": "auto", "gpu_memory_utilization": 0.7, "max_model_len": 8192, "enable_chunked_prefill": true, "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": "1.17.2"}
{'accuracy': 0.28, 'accuracy_ci_low': 0.2, 'accuracy_ci_high': 0.37, 'score_name': 'accuracy', 'score': 0.28, 'score_ci_high': 0.37, 'score_ci_low': 0.2, 'num_of_instances': 100}
1
a100_80gb
19758dc2470a2b25fb7f586375c87fbf85f01b4866a0127aba81cf79f546c42b
1,739,365,338,454
1,739,365,200,000
meta-llama_Llama-3.2-3B-Instruct
cards.hellaswag
card=cards.hellaswag,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.HellaSwag.MultipleChoiceTemplatesInstructionsState8.enumerator_numbers_choicesSeparator_space_shuffleChoices_lengthSort,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100,max_train_instances=100,max_validation_instances=100
None
half
6.73638
{"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/Llama-3.2-3B-Instruct", "seed": 0, "device": "auto", "gpu_memory_utilization": 0.7, "max_model_len": 8192, "enable_chunked_prefill": true, "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": "1.17.2"}
{'accuracy': 0.54, 'accuracy_ci_low': 0.44, 'accuracy_ci_high': 0.63, 'score_name': 'accuracy', 'score': 0.54, 'score_ci_high': 0.63, 'score_ci_low': 0.44, 'num_of_instances': 100}
1
a100_80gb
d4cc5ea1eecc52fac3f7bdfa9983d2fa50307cd36ca865df1381533720a3ce1e
1,739,365,390,897
1,739,365,200,000
meta-llama_Llama-3.2-3B-Instruct
cards.hellaswag
card=cards.hellaswag,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.HellaSwag.MultipleChoiceTemplatesInstructionsState2.enumerator_keyboard_choicesSeparator_OrCapital_shuffleChoices_lengthSort,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100,max_train_instances=100,max_validation_instances=100
None
half
2.141171
{"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/Llama-3.2-3B-Instruct", "seed": 0, "device": "auto", "gpu_memory_utilization": 0.7, "max_model_len": 8192, "enable_chunked_prefill": true, "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": "1.17.2"}
{'accuracy': 0.33, 'accuracy_ci_low': 0.24, 'accuracy_ci_high': 0.43, 'score_name': 'accuracy', 'score': 0.33, 'score_ci_high': 0.43, 'score_ci_low': 0.24, 'num_of_instances': 100}
1
a100_80gb
19188a51cf8a60a50df97f77bf4ff8c7c664307d5283405c851ba9ba61df4436
1,739,365,348,054
1,739,365,200,000
meta-llama_Llama-3.2-3B-Instruct
cards.global_mmlu.pt.business_ethics
card=cards.global_mmlu.pt.business_ethics,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MMLU.MultipleChoiceTemplatesInstructionsProSASimple.enumerator_capitals_choicesSeparator_comma_shuffleChoices_lengthSortReverse,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100,max_train_instances=100,max_validation_instances=100
None
half
8.419887
{"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/Llama-3.2-3B-Instruct", "seed": 0, "device": "auto", "gpu_memory_utilization": 0.7, "max_model_len": 8192, "enable_chunked_prefill": true, "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": "1.17.2"}
{'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
fa81c2afc266624e7022bc7ea3465a22fe87de8762d268b67b7b6814eb840728
1,739,365,353,661
1,739,365,200,000
meta-llama_Llama-3.2-3B-Instruct
cards.global_mmlu.yo.formal_logic
card=cards.global_mmlu.yo.formal_logic,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.MMLU.MultipleChoiceTemplatesInstructionsStateBelowPlease.enumerator_roman_choicesSeparator_space_shuffleChoices_lengthSort,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100,max_train_instances=100,max_validation_instances=100
None
half
4.497354
{"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/Llama-3.2-3B-Instruct", "seed": 0, "device": "auto", "gpu_memory_utilization": 0.7, "max_model_len": 8192, "enable_chunked_prefill": true, "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": "1.17.2"}
{'accuracy': 0.24, 'accuracy_ci_low': 0.16, 'accuracy_ci_high': 0.33, 'score_name': 'accuracy', 'score': 0.24, 'score_ci_high': 0.33, 'score_ci_low': 0.16, 'num_of_instances': 100}
1
a100_80gb
4d6f4d90b6e32b619d7acf9f275791c7a0b48ad3ce8c3a3b703bcc88fcb02197
1,739,365,357,346
1,739,365,200,000
meta-llama_Llama-3.2-3B-Instruct
cards.global_mmlu_lite_cs.pt
card=cards.global_mmlu_lite_cs.pt,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.MMLU.MultipleChoiceTemplatesInstructionsWithoutTopicHarness.enumerator_numbers_choicesSeparator_newline_shuffleChoices_alphabeticalSortReverse,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100,max_train_instances=100,max_validation_instances=100
None
half
2.832628
{"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/Llama-3.2-3B-Instruct", "seed": 0, "device": "auto", "gpu_memory_utilization": 0.7, "max_model_len": 8192, "enable_chunked_prefill": true, "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": "1.17.2"}
{'accuracy': 0.36, 'accuracy_ci_low': 0.27, 'accuracy_ci_high': 0.45, 'score_name': 'accuracy', 'score': 0.36, 'score_ci_high': 0.45, 'score_ci_low': 0.27, 'num_of_instances': 100}
1
a100_80gb
f225b935df8e39599d4e46f0abac82775ec242496a39a01fb581911f06d2ab1d
1,739,365,361,296
1,739,365,200,000
meta-llama_Llama-3.2-3B-Instruct
cards.mmlu_pro.engineering
card=cards.mmlu_pro.engineering,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.MMLU_PRO.MultipleChoiceTemplatesInstructionsWithTopicHelm.enumerator_roman_choicesSeparator_space_shuffleChoices_lengthSortReverse,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100,max_train_instances=100,max_validation_instances=100
None
half
3.268632
{"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/Llama-3.2-3B-Instruct", "seed": 0, "device": "auto", "gpu_memory_utilization": 0.7, "max_model_len": 8192, "enable_chunked_prefill": true, "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": "1.17.2"}
{'accuracy': 0.15, 'accuracy_ci_low': 0.0991658456933893, 'accuracy_ci_high': 0.23, 'score_name': 'accuracy', 'score': 0.15, 'score_ci_high': 0.23, 'score_ci_low': 0.0991658456933893, 'num_of_instances': 100}
1
a100_80gb
2bea4f6aaa5849efea5f9ee0a12be6d2541419ea238b9c192899a2ef8ff5eba9
1,739,365,448,607
1,739,365,200,000
meta-llama_Llama-3.2-3B-Instruct
cards.mmlu_pro.engineering
card=cards.mmlu_pro.engineering,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.MMLU_PRO.MultipleChoiceTemplatesInstructionsProSACould.enumerator_roman_choicesSeparator_space_shuffleChoices_alphabeticalSort,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100,max_train_instances=100,max_validation_instances=100
None
half
2.714368
{"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/Llama-3.2-3B-Instruct", "seed": 0, "device": "auto", "gpu_memory_utilization": 0.7, "max_model_len": 8192, "enable_chunked_prefill": true, "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": "1.17.2"}
{'accuracy': 0.11, 'accuracy_ci_low': 0.06, 'accuracy_ci_high': 0.19, 'score_name': 'accuracy', 'score': 0.11, 'score_ci_high': 0.19, 'score_ci_low': 0.06, 'num_of_instances': 100}
1
a100_80gb
b1b9562e6a60f33ae3cf31fb44f4d5d0f93ee0712c99dd922ea81aae14a46adb
1,739,365,365,073
1,739,365,200,000
meta-llama_Llama-3.2-3B-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.MultipleChoiceTemplatesInstructionsStateBelow.enumerator_capitals_choicesSeparator_comma_shuffleChoices_lengthSortReverse,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100,max_train_instances=100,max_validation_instances=100
None
half
2.99031
{"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/Llama-3.2-3B-Instruct", "seed": 0, "device": "auto", "gpu_memory_utilization": 0.7, "max_model_len": 8192, "enable_chunked_prefill": true, "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": "1.17.2"}
{'accuracy': 0.29, 'accuracy_ci_low': 0.21, 'accuracy_ci_high': 0.39, 'score_name': 'accuracy', 'score': 0.29, 'score_ci_high': 0.39, 'score_ci_low': 0.21, 'num_of_instances': 100}
1
a100_80gb
07885674f04f4b1d169ce7b2dd206617ab2778a1d644b04f180c4f10fa914aca
1,739,365,380,097
1,739,365,200,000
meta-llama_Llama-3.2-3B-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.MultipleChoiceTemplatesInstructionsWithoutTopicHelmFixed.enumerator_lowercase_choicesSeparator_semicolon_shuffleChoices_False,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100,max_train_instances=100,max_validation_instances=100
None
half
2.249185
{"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/Llama-3.2-3B-Instruct", "seed": 0, "device": "auto", "gpu_memory_utilization": 0.7, "max_model_len": 8192, "enable_chunked_prefill": true, "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": "1.17.2"}
{'accuracy': 0.2, 'accuracy_ci_low': 0.13, 'accuracy_ci_high': 0.28522376246868136, 'score_name': 'accuracy', 'score': 0.2, 'score_ci_high': 0.28522376246868136, 'score_ci_low': 0.13, 'num_of_instances': 100}
1
a100_80gb
a2b0e12c8dee39c781290bd03da034dd7a855207343a2ff036c672ad696ec851
1,739,365,444,807
1,739,365,200,000
meta-llama_Llama-3.2-3B-Instruct
cards.mmlu_pro.health
card=cards.mmlu_pro.health,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MMLU_PRO.MultipleChoiceTemplatesInstructionsProSASimple.enumerator_greek_choicesSeparator_orLower_shuffleChoices_alphabeticalSortReverse,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100,max_train_instances=100,max_validation_instances=100
None
half
5.808215
{"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/Llama-3.2-3B-Instruct", "seed": 0, "device": "auto", "gpu_memory_utilization": 0.7, "max_model_len": 8192, "enable_chunked_prefill": true, "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": "1.17.2"}
{'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
00b135014f62de76bef3ffa7cfafd68d7b0b4055543dd30919f805c6d51b5c13
1,739,365,594,808
1,739,365,200,000
meta-llama_Llama-3.2-3B-Instruct
cards.mmlu_pro.health
card=cards.mmlu_pro.health,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MMLU_PRO.MultipleChoiceTemplatesInstructionsWithTopicHelm.enumerator_lowercase_choicesSeparator_semicolon_shuffleChoices_alphabeticalSortReverse,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100,max_train_instances=100,max_validation_instances=100
None
half
6.877873
{"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/Llama-3.2-3B-Instruct", "seed": 0, "device": "auto", "gpu_memory_utilization": 0.7, "max_model_len": 8192, "enable_chunked_prefill": true, "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": "1.17.2"}
{'accuracy': 0.33, 'accuracy_ci_low': 0.24, 'accuracy_ci_high': 0.43, 'score_name': 'accuracy', 'score': 0.33, 'score_ci_high': 0.43, 'score_ci_low': 0.24, 'num_of_instances': 100}
1
a100_80gb
49c4bc4be0290defd783e4be5c5ae73165e3df05c33a38fccdac6f5fb533ecae
1,739,365,371,664
1,739,365,200,000
meta-llama_Llama-3.2-3B-Instruct
cards.global_mmlu.yo.clinical_knowledge
card=cards.global_mmlu.yo.clinical_knowledge,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MMLU.MultipleChoiceTemplatesInstructionsProSAAddress.enumerator_roman_choicesSeparator_semicolon_shuffleChoices_lengthSort,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100,max_train_instances=100,max_validation_instances=100
None
half
5.813249
{"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/Llama-3.2-3B-Instruct", "seed": 0, "device": "auto", "gpu_memory_utilization": 0.7, "max_model_len": 8192, "enable_chunked_prefill": true, "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": "1.17.2"}
{'accuracy': 0.35, 'accuracy_ci_low': 0.26, 'accuracy_ci_high': 0.45, 'score_name': 'accuracy', 'score': 0.35, 'score_ci_high': 0.45, 'score_ci_low': 0.26, 'num_of_instances': 100}
1
a100_80gb
e118c81845278fcbc71d0fa17ee4ed0971d6e9969f333203a4547d18796ea9ef
1,739,365,377,129
1,739,365,200,000
meta-llama_Llama-3.2-3B-Instruct
cards.global_mmlu.it.econometrics
card=cards.global_mmlu.it.econometrics,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.MMLU.MultipleChoiceTemplatesInstructionsStateHere.enumerator_greek_choicesSeparator_comma_shuffleChoices_alphabeticalSortReverse,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100,max_train_instances=100,max_validation_instances=100
None
half
4.400168
{"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/Llama-3.2-3B-Instruct", "seed": 0, "device": "auto", "gpu_memory_utilization": 0.7, "max_model_len": 8192, "enable_chunked_prefill": true, "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": "1.17.2"}
{'accuracy': 0.3, 'accuracy_ci_low': 0.22, 'accuracy_ci_high': 0.4, 'score_name': 'accuracy', 'score': 0.3, 'score_ci_high': 0.4, 'score_ci_low': 0.22, 'num_of_instances': 100}
1
a100_80gb
582bd308362a5df80df7e7dfb99d07fe719310155d734bb637a6c63079ceecf3
1,739,365,387,890
1,739,365,200,000
meta-llama_Llama-3.2-3B-Instruct
cards.global_mmlu.es.global_facts
card=cards.global_mmlu.es.global_facts,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MMLU.MultipleChoiceTemplatesInstructionsWithoutTopicHarness.enumerator_capitals_choicesSeparator_OrCapital_shuffleChoices_lengthSort,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100,max_train_instances=100,max_validation_instances=100
None
half
7.019197
{"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/Llama-3.2-3B-Instruct", "seed": 0, "device": "auto", "gpu_memory_utilization": 0.7, "max_model_len": 8192, "enable_chunked_prefill": true, "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": "1.17.2"}
{'accuracy': 0.21, 'accuracy_ci_low': 0.14, 'accuracy_ci_high': 0.3, 'score_name': 'accuracy', 'score': 0.21, 'score_ci_high': 0.3, 'score_ci_low': 0.14, 'num_of_instances': 100}
1
a100_80gb
9cfec1ba5e53e84fcb12121ab5608e5a9b7272fa2fbd5608fd7fed08aacd285a
1,739,365,419,196
1,739,365,200,000
meta-llama_Llama-3.2-3B-Instruct
cards.openbook_qa
card=cards.openbook_qa,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.OpenBookQA.MultipleChoiceTemplatesStructuredWithoutTopic.enumerator_numbers_choicesSeparator_OrCapital_shuffleChoices_alphabeticalSortReverse,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100,max_train_instances=100,max_validation_instances=100
None
half
12.185652
{"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/Llama-3.2-3B-Instruct", "seed": 0, "device": "auto", "gpu_memory_utilization": 0.7, "max_model_len": 8192, "enable_chunked_prefill": true, "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": "1.17.2"}
{'accuracy': 0.39, 'accuracy_ci_low': 0.3, 'accuracy_ci_high': 0.49, 'score_name': 'accuracy', 'score': 0.39, 'score_ci_high': 0.49, 'score_ci_low': 0.3, 'num_of_instances': 100}
1
a100_80gb
3e823ad50031c999fd6c43a7d149e1b05b9d003fbe580a9fa3ed89d07b9f147e
1,739,365,437,726
1,739,365,200,000
meta-llama_Llama-3.2-3B-Instruct
cards.mmlu_pro.computer_science
card=cards.mmlu_pro.computer_science,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MMLU_PRO.MultipleChoiceTemplatesInstructionsWithoutTopicHarness.enumerator_numbers_choicesSeparator_comma_shuffleChoices_alphabeticalSort,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100,max_train_instances=100,max_validation_instances=100
None
half
17.934685
{"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/Llama-3.2-3B-Instruct", "seed": 0, "device": "auto", "gpu_memory_utilization": 0.7, "max_model_len": 8192, "enable_chunked_prefill": true, "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": "1.17.2"}
{'accuracy': 0.21, 'accuracy_ci_low': 0.14, 'accuracy_ci_high': 0.3, 'score_name': 'accuracy', 'score': 0.21, 'score_ci_high': 0.3, 'score_ci_low': 0.14, 'num_of_instances': 100}
1
a100_80gb
7a69bc1339c21dcc43552ffff545b7d1602fcb90c2dac9046803b24bef76c307
1,739,365,456,091
1,739,365,200,000
meta-llama_Llama-3.2-3B-Instruct
cards.mmlu_pro.computer_science
card=cards.mmlu_pro.computer_science,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.MMLU_PRO.MultipleChoiceTemplatesInstructionsStateHere.enumerator_capitals_choicesSeparator_OrCapital_shuffleChoices_False,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100,max_train_instances=100,max_validation_instances=100
None
half
2.695073
{"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/Llama-3.2-3B-Instruct", "seed": 0, "device": "auto", "gpu_memory_utilization": 0.7, "max_model_len": 8192, "enable_chunked_prefill": true, "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": "1.17.2"}
{'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
a3debb144884d18c8080a50b3e3e8f8ab4d2970bdbd745d742801e2540c61541
1,739,365,462,369
1,739,365,200,000
meta-llama_Llama-3.2-3B-Instruct
cards.race_high
card=cards.race_high,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.Race.MultipleChoiceContextTemplateStateMultipleChoice.enumerator_roman_choicesSeparator_comma_shuffleChoices_False,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100,max_train_instances=100,max_validation_instances=100
None
half
5.475315
{"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/Llama-3.2-3B-Instruct", "seed": 0, "device": "auto", "gpu_memory_utilization": 0.7, "max_model_len": 8192, "enable_chunked_prefill": true, "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": "1.17.2"}
{'accuracy': 0.76, 'accuracy_ci_low': 0.68, 'accuracy_ci_high': 0.84, 'score_name': 'accuracy', 'score': 0.76, 'score_ci_high': 0.84, 'score_ci_low': 0.68, 'num_of_instances': 100}
1
a100_80gb
de1aeb92bd5ff20ffbc5f1ae8c799c52414545d90aead9076f4bdcec40e63ca4
1,739,365,523,437
1,739,365,200,000
meta-llama_Llama-3.2-3B-Instruct
cards.race_high
card=cards.race_high,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.Race.MultipleChoiceContextTemplateMMluHelmStyle.enumerator_greek_choicesSeparator_semicolon_shuffleChoices_alphabeticalSortReverse,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100,max_train_instances=100,max_validation_instances=100
None
half
4.297162
{"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/Llama-3.2-3B-Instruct", "seed": 0, "device": "auto", "gpu_memory_utilization": 0.7, "max_model_len": 8192, "enable_chunked_prefill": true, "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": "1.17.2"}
{'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
9d00a4068cf0433261d7b9e88c0f387079eec72df75b89f45ba51d4fd8a5b61d
1,739,365,472,026
1,739,365,200,000
meta-llama_Llama-3.2-3B-Instruct
cards.global_mmlu_lite_cs.it
card=cards.global_mmlu_lite_cs.it,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MMLU.MultipleChoiceTemplatesInstructionsProSAAddress.enumerator_roman_choicesSeparator_OrCapital_shuffleChoices_False,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100,max_train_instances=100,max_validation_instances=100
None
half
8.707409
{"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/Llama-3.2-3B-Instruct", "seed": 0, "device": "auto", "gpu_memory_utilization": 0.7, "max_model_len": 8192, "enable_chunked_prefill": true, "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": "1.17.2"}
{'accuracy': 0.39, 'accuracy_ci_low': 0.29, 'accuracy_ci_high': 0.48, 'score_name': 'accuracy', 'score': 0.39, 'score_ci_high': 0.48, 'score_ci_low': 0.29, 'num_of_instances': 100}
1
a100_80gb
cb1203fd588344a2bce4d6578a725b281cff219f3d41cb49fed7234d6c7fbf63
1,739,365,508,700
1,739,365,200,000
meta-llama_Llama-3.2-3B-Instruct
cards.global_mmlu.hi.business_ethics
card=cards.global_mmlu.hi.business_ethics,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MMLU.MultipleChoiceTemplatesInstructionsStateHere.enumerator_capitals_choicesSeparator_newline_shuffleChoices_alphabeticalSort,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100,max_train_instances=100,max_validation_instances=100
None
half
35.395699
{"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/Llama-3.2-3B-Instruct", "seed": 0, "device": "auto", "gpu_memory_utilization": 0.7, "max_model_len": 8192, "enable_chunked_prefill": true, "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": "1.17.2"}
{'accuracy': 0.42, 'accuracy_ci_low': 0.32, 'accuracy_ci_high': 0.52, 'score_name': 'accuracy', 'score': 0.42, 'score_ci_high': 0.52, 'score_ci_low': 0.32, 'num_of_instances': 100}
1
a100_80gb
95acb808d5b276eba32362ec75b6f65e162dc30b48a7538942704f7cd8ae5613
1,739,365,518,145
1,739,365,200,000
meta-llama_Llama-3.2-3B-Instruct
cards.global_mmlu.hi.global_facts
card=cards.global_mmlu.hi.global_facts,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MMLU.MultipleChoiceTemplatesInstructionsStateHere.enumerator_roman_choicesSeparator_space_shuffleChoices_lengthSortReverse,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100,max_train_instances=100,max_validation_instances=100
None
half
7.981101
{"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/Llama-3.2-3B-Instruct", "seed": 0, "device": "auto", "gpu_memory_utilization": 0.7, "max_model_len": 8192, "enable_chunked_prefill": true, "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": "1.17.2"}
{'accuracy': 0.26, 'accuracy_ci_low': 0.18, 'accuracy_ci_high': 0.36, 'score_name': 'accuracy', 'score': 0.26, 'score_ci_high': 0.36, 'score_ci_low': 0.18, 'num_of_instances': 100}
1
a100_80gb
cdd79b84e6233031737a12e2e40a727f07591be4c68062fd4116299d8c53becf
1,739,365,531,790
1,739,365,200,000
meta-llama_Llama-3.2-3B-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.MultipleChoiceTemplatesStructuredWithTopic.enumerator_greek_choicesSeparator_newline_shuffleChoices_lengthSortReverse,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100,max_train_instances=100,max_validation_instances=100
None
half
3.138267
{"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/Llama-3.2-3B-Instruct", "seed": 0, "device": "auto", "gpu_memory_utilization": 0.7, "max_model_len": 8192, "enable_chunked_prefill": true, "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": "1.17.2"}
{'accuracy': 0.55, 'accuracy_ci_low': 0.44, 'accuracy_ci_high': 0.6481858440544102, 'score_name': 'accuracy', 'score': 0.55, 'score_ci_high': 0.6481858440544102, 'score_ci_low': 0.44, 'num_of_instances': 100}
1
a100_80gb
0695b18d12b0644644491672ab5474b95b6c9bc785811984707ad92fc4be57ab
1,739,365,535,201
1,739,365,200,000
meta-llama_Llama-3.2-3B-Instruct
cards.social_iqa
card=cards.social_iqa,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.Social_IQa.MultipleChoiceTemplatesInstructionsProSAAddress.enumerator_numbers_choicesSeparator_space_shuffleChoices_alphabeticalSortReverse,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100,max_train_instances=100,max_validation_instances=100
None
half
2.772558
{"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/Llama-3.2-3B-Instruct", "seed": 0, "device": "auto", "gpu_memory_utilization": 0.7, "max_model_len": 8192, "enable_chunked_prefill": true, "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": "1.17.2"}
{'accuracy': 0.37, 'accuracy_ci_low': 0.28, 'accuracy_ci_high': 0.47, 'score_name': 'accuracy', 'score': 0.37, 'score_ci_high': 0.47, 'score_ci_low': 0.28, 'num_of_instances': 100}
1
a100_80gb
dd96eed3a69390333e79523ec41c7dcc9b8aaac11e426a32ab8266fe8b875530
1,739,365,540,144
1,739,365,200,000
meta-llama_Llama-3.2-3B-Instruct
cards.global_mmlu.ja.professional_psychology
card=cards.global_mmlu.ja.professional_psychology,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.MMLU.MultipleChoiceTemplatesInstructionsStateBelow.enumerator_keyboard_choicesSeparator_semicolon_shuffleChoices_False,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100,max_train_instances=100,max_validation_instances=100
None
half
4.292995
{"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/Llama-3.2-3B-Instruct", "seed": 0, "device": "auto", "gpu_memory_utilization": 0.7, "max_model_len": 8192, "enable_chunked_prefill": true, "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": "1.17.2"}
{'accuracy': 0.33, 'accuracy_ci_low': 0.24, 'accuracy_ci_high': 0.42, 'score_name': 'accuracy', 'score': 0.33, 'score_ci_high': 0.42, 'score_ci_low': 0.24, 'num_of_instances': 100}
1
a100_80gb
2bf2a63b63bad256a944e396fe3c046f1cae650f61a7cb6f409ea2f26b2788a8
1,739,365,543,626
1,739,365,200,000
meta-llama_Llama-3.2-3B-Instruct
cards.mmlu_pro.other
card=cards.mmlu_pro.other,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.MMLU_PRO.MultipleChoiceTemplatesInstructionsStateHere.enumerator_keyboard_choicesSeparator_semicolon_shuffleChoices_alphabeticalSortReverse,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100,max_train_instances=100,max_validation_instances=100
None
half
2.894378
{"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/Llama-3.2-3B-Instruct", "seed": 0, "device": "auto", "gpu_memory_utilization": 0.7, "max_model_len": 8192, "enable_chunked_prefill": true, "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": "1.17.2"}
{'accuracy': 0.17, 'accuracy_ci_low': 0.1, 'accuracy_ci_high': 0.26, 'score_name': 'accuracy', 'score': 0.17, 'score_ci_high': 0.26, 'score_ci_low': 0.1, 'num_of_instances': 100}
1
a100_80gb
87772d4a44a085a480bf9562a2e121e1ff554f778ca25c39c0ad8fde14b89c30
1,739,365,547,509
1,739,365,200,000
meta-llama_Llama-3.2-3B-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.MultipleChoiceTemplatesInstructionsWithTopicHelm.enumerator_capitals_choicesSeparator_space_shuffleChoices_lengthSort,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100,max_train_instances=100,max_validation_instances=100
None
half
3.081037
{"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/Llama-3.2-3B-Instruct", "seed": 0, "device": "auto", "gpu_memory_utilization": 0.7, "max_model_len": 8192, "enable_chunked_prefill": true, "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": "1.17.2"}
{'accuracy': 0.09, 'accuracy_ci_low': 0.05, 'accuracy_ci_high': 0.17, 'score_name': 'accuracy', 'score': 0.09, 'score_ci_high': 0.17, 'score_ci_low': 0.05, 'num_of_instances': 100}
1
a100_80gb
63c94c832b2d994c5d52418cd67067ccc0585e52b6630b267ac5ef8323b0dead
1,739,365,552,255
1,739,365,200,000
meta-llama_Llama-3.2-3B-Instruct
cards.global_mmlu_lite_ca.yo
card=cards.global_mmlu_lite_ca.yo,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.MMLU.MultipleChoiceTemplatesInstructionsWithTopic.enumerator_greek_choicesSeparator_semicolon_shuffleChoices_lengthSortReverse,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100,max_train_instances=100,max_validation_instances=100
None
half
4.043819
{"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/Llama-3.2-3B-Instruct", "seed": 0, "device": "auto", "gpu_memory_utilization": 0.7, "max_model_len": 8192, "enable_chunked_prefill": true, "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": "1.17.2"}
{'accuracy': 0.32, 'accuracy_ci_low': 0.23, 'accuracy_ci_high': 0.41, 'score_name': 'accuracy', 'score': 0.32, 'score_ci_high': 0.41, 'score_ci_low': 0.23, 'num_of_instances': 100}
1
a100_80gb
33afcedd47e1296413241fc8b8915cedd57691b26640e9acde7178bf3a393dd3
1,739,365,556,572
1,739,365,200,000
meta-llama_Llama-3.2-3B-Instruct
cards.global_mmlu.fr.formal_logic
card=cards.global_mmlu.fr.formal_logic,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.MMLU.MultipleChoiceTemplatesInstructionsStateHere.enumerator_roman_choicesSeparator_newline_shuffleChoices_lengthSortReverse,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100,max_train_instances=100,max_validation_instances=100
None
half
3.47503
{"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/Llama-3.2-3B-Instruct", "seed": 0, "device": "auto", "gpu_memory_utilization": 0.7, "max_model_len": 8192, "enable_chunked_prefill": true, "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": "1.17.2"}
{'accuracy': 0.27, 'accuracy_ci_low': 0.19, 'accuracy_ci_high': 0.36995048661659097, 'score_name': 'accuracy', 'score': 0.27, 'score_ci_high': 0.36995048661659097, 'score_ci_low': 0.19, 'num_of_instances': 100}
1
a100_80gb
3ea4522e53c0bb8e3485c1beba8a8210bbda7438926759b5b836560babedc0ca
1,739,365,562,314
1,739,365,200,000
meta-llama_Llama-3.2-3B-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.MultipleChoiceTemplatesInstructionsStateBelowPlease.enumerator_roman_choicesSeparator_semicolon_shuffleChoices_alphabeticalSortReverse,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100,max_train_instances=100,max_validation_instances=100
None
half
5.038697
{"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/Llama-3.2-3B-Instruct", "seed": 0, "device": "auto", "gpu_memory_utilization": 0.7, "max_model_len": 8192, "enable_chunked_prefill": true, "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": "1.17.2"}
{'accuracy': 0.81, 'accuracy_ci_low': 0.7250838497807116, 'accuracy_ci_high': 0.89, 'score_name': 'accuracy', 'score': 0.81, 'score_ci_high': 0.89, 'score_ci_low': 0.7250838497807116, 'num_of_instances': 100}
1
a100_80gb
d1d1bdbc3162d4c55ef7b53d1b2b15e4c7ff1e8dd84a1ef827eb0945c870c1ca
1,739,365,585,645
1,739,365,200,000
meta-llama_Llama-3.2-3B-Instruct
cards.global_mmlu.bn.business_ethics
card=cards.global_mmlu.bn.business_ethics,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MMLU.MultipleChoiceTemplatesStructuredWithoutTopic.enumerator_capitals_choicesSeparator_OrCapital_shuffleChoices_False,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100,max_train_instances=100,max_validation_instances=100
None
half
22.503654
{"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/Llama-3.2-3B-Instruct", "seed": 0, "device": "auto", "gpu_memory_utilization": 0.7, "max_model_len": 8192, "enable_chunked_prefill": true, "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": "1.17.2"}
{'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
684e44e4cb16bae7a847fdd0d0f952df5c5b9c7abd6ec5370fa9640603e4ef5d
1,739,365,604,197
1,739,365,200,000
meta-llama_Llama-3.2-3B-Instruct
cards.global_mmlu.ja.formal_logic
card=cards.global_mmlu.ja.formal_logic,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MMLU.MultipleChoiceTemplatesInstructionsStateBelow.enumerator_roman_choicesSeparator_semicolon_shuffleChoices_alphabeticalSort,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100,max_train_instances=100,max_validation_instances=100
None
half
8.284422
{"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/Llama-3.2-3B-Instruct", "seed": 0, "device": "auto", "gpu_memory_utilization": 0.7, "max_model_len": 8192, "enable_chunked_prefill": true, "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": "1.17.2"}
{'accuracy': 0.31, 'accuracy_ci_low': 0.23, 'accuracy_ci_high': 0.41, 'score_name': 'accuracy', 'score': 0.31, 'score_ci_high': 0.41, 'score_ci_low': 0.23, 'num_of_instances': 100}
1
a100_80gb