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3dc18935d8489c8cac97057da2c5d410c6f7933bb85316a077458ffe7a4377a4 | "2024-12-22T12:33:30.401000Z" | allenai/OLMoE-1B-7B-0924-Instruct | card=cards.mmlu.high_school_geography,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.MultipleChoiceTemplatesInstructionsWithoutTopic.enumerator_greek_choicesSeparator_orLower_shuffleChoices_False,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 2.645731 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "allenai/OLMoE-1B-7B-0924-Instruct", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.15.9"} | {'num_of_instances': 100, 'accuracy': 0.6, 'score': 0.6, 'score_name': 'accuracy', 'accuracy_ci_low': 0.5, 'accuracy_ci_high': 0.69, 'score_ci_low': 0.5, 'score_ci_high': 0.69} | 1 | a100_80gb |
9cf595dd84ccc82a69f2f0677ec500ac27ff8298bf7df3f3ac805f0cec65d713 | "2024-12-22T12:33:32.742000Z" | allenai/OLMoE-1B-7B-0924-Instruct | card=cards.mmlu.high_school_geography,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.MultipleChoiceTemplatesInstructionsWithoutTopic.enumerator_greek_choicesSeparator_orLower_shuffleChoices_True,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 1.624946 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "allenai/OLMoE-1B-7B-0924-Instruct", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.15.9"} | {'num_of_instances': 100, 'accuracy': 0.54, 'score': 0.54, 'score_name': 'accuracy', 'accuracy_ci_low': 0.44, 'accuracy_ci_high': 0.64, 'score_ci_low': 0.44, 'score_ci_high': 0.64} | 1 | a100_80gb |
c2fc7902478952eae6bc64096bf100b74aa224dba76c02a405c46254bad2a8b3 | "2024-12-22T12:32:39.408000Z" | meta-llama/Meta-Llama-3-8B-Instruct | card=cards.mmlu.high_school_biology,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MultipleChoiceTemplatesInstructionsWithoutTopic.enumerator_numbers_choicesSeparator_orLower_shuffleChoices_True,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 8.916944 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "meta-llama/Meta-Llama-3-8B-Instruct", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.15.9"} | {'num_of_instances': 100, 'accuracy': 0.67, 'score': 0.67, 'score_name': 'accuracy', 'accuracy_ci_low': 0.58, 'accuracy_ci_high': 0.76, 'score_ci_low': 0.58, 'score_ci_high': 0.76} | 1 | a100_80gb |
83c520502723b5f18c1de4290c9bf0b75e076e0e73059f76214d8f3db8f128fc | "2024-12-22T12:32:48.660000Z" | meta-llama/Meta-Llama-3-8B-Instruct | card=cards.mmlu.high_school_biology,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MultipleChoiceTemplatesInstructionsWithoutTopic.enumerator_roman_choicesSeparator_space_shuffleChoices_False,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 6.855057 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "meta-llama/Meta-Llama-3-8B-Instruct", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.15.9"} | {'num_of_instances': 100, 'accuracy': 0.64, 'score': 0.64, 'score_name': 'accuracy', 'accuracy_ci_low': 0.5481927505706296, 'accuracy_ci_high': 0.7236900166039493, 'score_ci_low': 0.5481927505706296, 'score_ci_high': 0.7236900166039493} | 1 | a100_80gb |
49123493e6f4a66543f910f3c9e818b65793835cacf3ab8efe2184d403f0113b | "2024-12-22T12:32:58.219000Z" | meta-llama/Meta-Llama-3-8B-Instruct | card=cards.mmlu.high_school_biology,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MultipleChoiceTemplatesInstructionsWithoutTopic.enumerator_roman_choicesSeparator_space_shuffleChoices_True,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 8.296376 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "meta-llama/Meta-Llama-3-8B-Instruct", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.15.9"} | {'num_of_instances': 100, 'accuracy': 0.67, 'score': 0.67, 'score_name': 'accuracy', 'accuracy_ci_low': 0.57, 'accuracy_ci_high': 0.7508424838864834, 'score_ci_low': 0.57, 'score_ci_high': 0.7508424838864834} | 1 | a100_80gb |
d72351a3e9b1a1422b60f22d8fc6941d68b430e0758811ef7af231e5e317ce27 | "2024-12-22T12:33:07.564000Z" | meta-llama/Meta-Llama-3-8B-Instruct | card=cards.mmlu.high_school_biology,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MultipleChoiceTemplatesInstructionsWithoutTopic.enumerator_roman_choicesSeparator_newline_shuffleChoices_False,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 8.034372 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "meta-llama/Meta-Llama-3-8B-Instruct", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.15.9"} | {'num_of_instances': 100, 'accuracy': 0.67, 'score': 0.67, 'score_name': 'accuracy', 'accuracy_ci_low': 0.58, 'accuracy_ci_high': 0.75, 'score_ci_low': 0.58, 'score_ci_high': 0.75} | 1 | a100_80gb |
fe8aa9b43e3128c864d366900e1c246faef03d26e8ca7547473f6867d17eb830 | "2024-12-22T12:33:16.343000Z" | meta-llama/Meta-Llama-3-8B-Instruct | card=cards.mmlu.high_school_biology,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MultipleChoiceTemplatesInstructionsWithoutTopic.enumerator_roman_choicesSeparator_newline_shuffleChoices_True,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 6.933597 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "meta-llama/Meta-Llama-3-8B-Instruct", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.15.9"} | {'num_of_instances': 100, 'accuracy': 0.67, 'score': 0.67, 'score_name': 'accuracy', 'accuracy_ci_low': 0.58, 'accuracy_ci_high': 0.76, 'score_ci_low': 0.58, 'score_ci_high': 0.76} | 1 | a100_80gb |
74bfba90ffc310791e55d4c04ff660739e03f4def7fb51c47b150384e368cdcb | "2024-12-22T12:33:24.548000Z" | meta-llama/Meta-Llama-3-8B-Instruct | card=cards.mmlu.high_school_biology,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MultipleChoiceTemplatesInstructionsWithoutTopic.enumerator_roman_choicesSeparator_comma_shuffleChoices_False,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 6.912494 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "meta-llama/Meta-Llama-3-8B-Instruct", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.15.9"} | {'num_of_instances': 100, 'accuracy': 0.68, 'score': 0.68, 'score_name': 'accuracy', 'accuracy_ci_low': 0.59, 'accuracy_ci_high': 0.76, 'score_ci_low': 0.59, 'score_ci_high': 0.76} | 1 | a100_80gb |
488e08af7fc1fb185dfb2d9a63fc65f2cc5dfcd706c157beec5a2479799fc824 | "2024-12-22T12:33:33.290000Z" | meta-llama/Meta-Llama-3-8B-Instruct | card=cards.mmlu.high_school_biology,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MultipleChoiceTemplatesInstructionsWithoutTopic.enumerator_roman_choicesSeparator_comma_shuffleChoices_True,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 6.920565 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "meta-llama/Meta-Llama-3-8B-Instruct", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.15.9"} | {'num_of_instances': 100, 'accuracy': 0.67, 'score': 0.67, 'score_name': 'accuracy', 'accuracy_ci_low': 0.58, 'accuracy_ci_high': 0.76, 'score_ci_low': 0.58, 'score_ci_high': 0.76} | 1 | a100_80gb |
9788534f107d35effb1e36ed005b5648eb5c64c2d89313bc3e44068ea7227223 | "2024-12-22T12:33:41.464000Z" | meta-llama/Meta-Llama-3-8B-Instruct | card=cards.mmlu.high_school_biology,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MultipleChoiceTemplatesInstructionsWithoutTopic.enumerator_roman_choicesSeparator_semicolon_shuffleChoices_False,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 6.899471 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "meta-llama/Meta-Llama-3-8B-Instruct", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.15.9"} | {'num_of_instances': 100, 'accuracy': 0.69, 'score': 0.69, 'score_name': 'accuracy', 'accuracy_ci_low': 0.6, 'accuracy_ci_high': 0.77, 'score_ci_low': 0.6, 'score_ci_high': 0.77} | 1 | a100_80gb |
2e2a281945ca80b0dee96dac3d63fd22fded849d7f79297647bc251027a3bcbc | "2024-12-22T12:33:50.243000Z" | meta-llama/Meta-Llama-3-8B-Instruct | card=cards.mmlu.high_school_biology,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MultipleChoiceTemplatesInstructionsWithoutTopic.enumerator_roman_choicesSeparator_semicolon_shuffleChoices_True,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 7.3971 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "meta-llama/Meta-Llama-3-8B-Instruct", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.15.9"} | {'num_of_instances': 100, 'accuracy': 0.67, 'score': 0.67, 'score_name': 'accuracy', 'accuracy_ci_low': 0.58, 'accuracy_ci_high': 0.76, 'score_ci_low': 0.58, 'score_ci_high': 0.76} | 1 | a100_80gb |
3f4dc0bcbd3144fc83d158389dca9af60720ecc8040abf238422b732e3fa228b | "2024-12-22T12:33:58.465000Z" | meta-llama/Meta-Llama-3-8B-Instruct | card=cards.mmlu.high_school_biology,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MultipleChoiceTemplatesInstructionsWithoutTopic.enumerator_roman_choicesSeparator_pipe_shuffleChoices_False,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 6.927877 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "meta-llama/Meta-Llama-3-8B-Instruct", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.15.9"} | {'num_of_instances': 100, 'accuracy': 0.71, 'score': 0.71, 'score_name': 'accuracy', 'accuracy_ci_low': 0.62, 'accuracy_ci_high': 0.79, 'score_ci_low': 0.62, 'score_ci_high': 0.79} | 1 | a100_80gb |
6fa1fcbe71aa5d34f6af9baa11727beec7479c85852747c76ed8f9c72f60d3d4 | "2024-12-22T12:33:12.433000Z" | meta-llama/Meta-Llama-3-8B-Instruct | card=cards.mmlu.astronomy,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.MultipleChoiceTemplatesInstructionsWithTopic.enumerator_keyboard_choicesSeparator_newline_shuffleChoices_False,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 2.516753 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "meta-llama/Meta-Llama-3-8B-Instruct", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.15.9"} | {'num_of_instances': 100, 'accuracy': 0.61, 'score': 0.61, 'score_name': 'accuracy', 'accuracy_ci_low': 0.51, 'accuracy_ci_high': 0.7, 'score_ci_low': 0.51, 'score_ci_high': 0.7} | 1 | a100_80gb |
a880ffb0c43af3a1771ab3556807b85986784272f5c63f57057fb448b187a656 | "2024-12-22T12:33:15.757000Z" | meta-llama/Meta-Llama-3-8B-Instruct | card=cards.mmlu.astronomy,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.MultipleChoiceTemplatesInstructionsWithTopic.enumerator_keyboard_choicesSeparator_newline_shuffleChoices_True,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 2.54083 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "meta-llama/Meta-Llama-3-8B-Instruct", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.15.9"} | {'num_of_instances': 100, 'accuracy': 0.64, 'score': 0.64, 'score_name': 'accuracy', 'accuracy_ci_low': 0.55, 'accuracy_ci_high': 0.73, 'score_ci_low': 0.55, 'score_ci_high': 0.73} | 1 | a100_80gb |
9512b447e10745c58e3a61ba8ebedc94cfb9db06ee3fa12c8f6e740d5d26a321 | "2024-12-22T12:33:19.131000Z" | meta-llama/Meta-Llama-3-8B-Instruct | card=cards.mmlu.astronomy,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.MultipleChoiceTemplatesInstructionsWithTopic.enumerator_keyboard_choicesSeparator_comma_shuffleChoices_False,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 2.579336 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "meta-llama/Meta-Llama-3-8B-Instruct", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.15.9"} | {'num_of_instances': 100, 'accuracy': 0.55, 'score': 0.55, 'score_name': 'accuracy', 'accuracy_ci_low': 0.46, 'accuracy_ci_high': 0.65, 'score_ci_low': 0.46, 'score_ci_high': 0.65} | 1 | a100_80gb |
f063167d583b7d2c8709fb5bd8d37d1b1b9a39c93df60b5baaf8b9bcbd0efb7f | "2024-12-22T12:33:24.660000Z" | meta-llama/Meta-Llama-3-8B-Instruct | card=cards.mmlu.astronomy,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.MultipleChoiceTemplatesInstructionsWithTopic.enumerator_keyboard_choicesSeparator_comma_shuffleChoices_True,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 4.756255 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "meta-llama/Meta-Llama-3-8B-Instruct", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.15.9"} | {'num_of_instances': 100, 'accuracy': 0.58, 'score': 0.58, 'score_name': 'accuracy', 'accuracy_ci_low': 0.49, 'accuracy_ci_high': 0.6852378192165827, 'score_ci_low': 0.49, 'score_ci_high': 0.6852378192165827} | 1 | a100_80gb |
8d90e9cb543f38373291e39301bd9d8ddd852d0c9a546016b28d4ad7d51d9b52 | "2024-12-22T12:33:29.076000Z" | meta-llama/Meta-Llama-3-8B-Instruct | card=cards.mmlu.astronomy,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.MultipleChoiceTemplatesInstructionsWithTopic.enumerator_keyboard_choicesSeparator_semicolon_shuffleChoices_False,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 3.638483 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "meta-llama/Meta-Llama-3-8B-Instruct", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.15.9"} | {'num_of_instances': 100, 'accuracy': 0.54, 'score': 0.54, 'score_name': 'accuracy', 'accuracy_ci_low': 0.45, 'accuracy_ci_high': 0.64, 'score_ci_low': 0.45, 'score_ci_high': 0.64} | 1 | a100_80gb |
8b77f9c679d51d346303f2cf26940f5b7f02236359dbfd615874535ca9b844c5 | "2024-12-22T12:33:32.392000Z" | meta-llama/Meta-Llama-3-8B-Instruct | card=cards.mmlu.astronomy,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.MultipleChoiceTemplatesInstructionsWithTopic.enumerator_keyboard_choicesSeparator_semicolon_shuffleChoices_True,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 2.545105 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "meta-llama/Meta-Llama-3-8B-Instruct", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.15.9"} | {'num_of_instances': 100, 'accuracy': 0.61, 'score': 0.61, 'score_name': 'accuracy', 'accuracy_ci_low': 0.52, 'accuracy_ci_high': 0.7, 'score_ci_low': 0.52, 'score_ci_high': 0.7} | 1 | a100_80gb |
3726a802fa5ffd58200d066a07ccadfcdf98216cf29c3991a7dcc4eb7eb3ec20 | "2024-12-22T12:33:35.713000Z" | meta-llama/Meta-Llama-3-8B-Instruct | card=cards.mmlu.astronomy,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.MultipleChoiceTemplatesInstructionsWithTopic.enumerator_keyboard_choicesSeparator_pipe_shuffleChoices_False,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 2.548851 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "meta-llama/Meta-Llama-3-8B-Instruct", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.15.9"} | {'num_of_instances': 100, 'accuracy': 0.59, 'score': 0.59, 'score_name': 'accuracy', 'accuracy_ci_low': 0.4974814624694788, 'accuracy_ci_high': 0.68, 'score_ci_low': 0.4974814624694788, 'score_ci_high': 0.68} | 1 | a100_80gb |
767df124bb5ad2080de141464e773829a44ed5f87a5cebe48bae47ae0eab9be4 | "2024-12-22T12:33:39.005000Z" | meta-llama/Meta-Llama-3-8B-Instruct | card=cards.mmlu.astronomy,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.MultipleChoiceTemplatesInstructionsWithTopic.enumerator_keyboard_choicesSeparator_pipe_shuffleChoices_True,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 2.531935 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "meta-llama/Meta-Llama-3-8B-Instruct", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.15.9"} | {'num_of_instances': 100, 'accuracy': 0.63, 'score': 0.63, 'score_name': 'accuracy', 'accuracy_ci_low': 0.53, 'accuracy_ci_high': 0.72, 'score_ci_low': 0.53, 'score_ci_high': 0.72} | 1 | a100_80gb |
d38369b67c37c5f9418965fd0acc1c9c23c331de22993121eafff454da53f402 | "2024-12-22T12:33:43.424000Z" | meta-llama/Meta-Llama-3-8B-Instruct | card=cards.mmlu.astronomy,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.MultipleChoiceTemplatesInstructionsWithTopic.enumerator_keyboard_choicesSeparator_OrCapital_shuffleChoices_False,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 3.659139 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "meta-llama/Meta-Llama-3-8B-Instruct", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.15.9"} | {'num_of_instances': 100, 'accuracy': 0.58, 'score': 0.58, 'score_name': 'accuracy', 'accuracy_ci_low': 0.48, 'accuracy_ci_high': 0.68, 'score_ci_low': 0.48, 'score_ci_high': 0.68} | 1 | a100_80gb |
12b2708c1fa3bbc22763c3327e35ebf67e54187c39ba7d78d07010624a8f407c | "2024-12-22T12:33:47.718000Z" | meta-llama/Meta-Llama-3-8B-Instruct | card=cards.mmlu.astronomy,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.MultipleChoiceTemplatesInstructionsWithTopic.enumerator_keyboard_choicesSeparator_OrCapital_shuffleChoices_True,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 3.522836 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "meta-llama/Meta-Llama-3-8B-Instruct", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.15.9"} | {'num_of_instances': 100, 'accuracy': 0.6, 'score': 0.6, 'score_name': 'accuracy', 'accuracy_ci_low': 0.5, 'accuracy_ci_high': 0.7, 'score_ci_low': 0.5, 'score_ci_high': 0.7} | 1 | a100_80gb |
9ffe15c719936c595831aa95d538fd41549fdb73aaf86e86af4750fa52f2a3da | "2024-12-22T12:31:03.218000Z" | meta-llama/Meta-Llama-3-8B-Instruct | card=cards.mmlu.security_studies,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MultipleChoiceTemplatesInstructionsWithTopicHelm.enumerator_capitals_choicesSeparator_orLower_shuffleChoices_True,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 17.717553 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "meta-llama/Meta-Llama-3-8B-Instruct", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.15.9"} | {'num_of_instances': 100, 'accuracy': 0.72, 'score': 0.72, 'score_name': 'accuracy', 'accuracy_ci_low': 0.63, 'accuracy_ci_high': 0.81, 'score_ci_low': 0.63, 'score_ci_high': 0.81} | 1 | a100_80gb |
009c623e6ea055fa4b5a94737143427aa45cf98c567fa2754555b40e460c06f9 | "2024-12-22T12:31:21.667000Z" | meta-llama/Meta-Llama-3-8B-Instruct | card=cards.mmlu.security_studies,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MultipleChoiceTemplatesInstructionsWithTopicHelm.enumerator_lowercase_choicesSeparator_space_shuffleChoices_False,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 15.766973 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "meta-llama/Meta-Llama-3-8B-Instruct", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.15.9"} | {'num_of_instances': 100, 'accuracy': 0.7, 'score': 0.7, 'score_name': 'accuracy', 'accuracy_ci_low': 0.6, 'accuracy_ci_high': 0.78, 'score_ci_low': 0.6, 'score_ci_high': 0.78} | 1 | a100_80gb |
8c3b26af926d6d24b22316dd7b4b09149257fb94756ad7157ecb9ec3ef4fa9b2 | "2024-12-22T12:31:40.164000Z" | meta-llama/Meta-Llama-3-8B-Instruct | card=cards.mmlu.security_studies,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MultipleChoiceTemplatesInstructionsWithTopicHelm.enumerator_lowercase_choicesSeparator_space_shuffleChoices_True,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 15.80047 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "meta-llama/Meta-Llama-3-8B-Instruct", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.15.9"} | {'num_of_instances': 100, 'accuracy': 0.74, 'score': 0.74, 'score_name': 'accuracy', 'accuracy_ci_low': 0.64, 'accuracy_ci_high': 0.82, 'score_ci_low': 0.64, 'score_ci_high': 0.82} | 1 | a100_80gb |
cf32ebe08105d409c999a939e140ba1e327300e7b6ce06145bde2cbb29e2e37a | "2024-12-22T12:31:58.740000Z" | meta-llama/Meta-Llama-3-8B-Instruct | card=cards.mmlu.security_studies,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MultipleChoiceTemplatesInstructionsWithTopicHelm.enumerator_lowercase_choicesSeparator_newline_shuffleChoices_False,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 15.845668 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "meta-llama/Meta-Llama-3-8B-Instruct", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.15.9"} | {'num_of_instances': 100, 'accuracy': 0.74, 'score': 0.74, 'score_name': 'accuracy', 'accuracy_ci_low': 0.64, 'accuracy_ci_high': 0.82, 'score_ci_low': 0.64, 'score_ci_high': 0.82} | 1 | a100_80gb |
d3c384f9315c8a4759dc958fd2e259f6db81bd961f102a60dbd2f4b6d5c95400 | "2024-12-22T12:32:17.649000Z" | meta-llama/Meta-Llama-3-8B-Instruct | card=cards.mmlu.security_studies,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MultipleChoiceTemplatesInstructionsWithTopicHelm.enumerator_lowercase_choicesSeparator_newline_shuffleChoices_True,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 15.799364 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "meta-llama/Meta-Llama-3-8B-Instruct", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.15.9"} | {'num_of_instances': 100, 'accuracy': 0.75, 'score': 0.75, 'score_name': 'accuracy', 'accuracy_ci_low': 0.66, 'accuracy_ci_high': 0.83, 'score_ci_low': 0.66, 'score_ci_high': 0.83} | 1 | a100_80gb |
be5ae11b077954fe56f491d92e165c73461b0ca2836c9162b59d58f9e6df1971 | "2024-12-22T12:32:36.234000Z" | meta-llama/Meta-Llama-3-8B-Instruct | card=cards.mmlu.security_studies,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MultipleChoiceTemplatesInstructionsWithTopicHelm.enumerator_lowercase_choicesSeparator_comma_shuffleChoices_False,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 15.880753 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "meta-llama/Meta-Llama-3-8B-Instruct", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.15.9"} | {'num_of_instances': 100, 'accuracy': 0.73, 'score': 0.73, 'score_name': 'accuracy', 'accuracy_ci_low': 0.6336443069946347, 'accuracy_ci_high': 0.81, 'score_ci_low': 0.6336443069946347, 'score_ci_high': 0.81} | 1 | a100_80gb |
feaee07a5a8fa9dc0333bca888a56b01087993f087ad0e1e18664d68ba3df525 | "2024-12-22T12:32:54.836000Z" | meta-llama/Meta-Llama-3-8B-Instruct | card=cards.mmlu.security_studies,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MultipleChoiceTemplatesInstructionsWithTopicHelm.enumerator_lowercase_choicesSeparator_comma_shuffleChoices_True,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 15.898845 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "meta-llama/Meta-Llama-3-8B-Instruct", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.15.9"} | {'num_of_instances': 100, 'accuracy': 0.73, 'score': 0.73, 'score_name': 'accuracy', 'accuracy_ci_low': 0.64, 'accuracy_ci_high': 0.81, 'score_ci_low': 0.64, 'score_ci_high': 0.81} | 1 | a100_80gb |
44489fd3045fe52f78dda71ef8408c3be4562cdf039e63fec54dead4952105aa | "2024-12-22T12:33:13.495000Z" | meta-llama/Meta-Llama-3-8B-Instruct | card=cards.mmlu.security_studies,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MultipleChoiceTemplatesInstructionsWithTopicHelm.enumerator_lowercase_choicesSeparator_semicolon_shuffleChoices_False,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 15.871834 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "meta-llama/Meta-Llama-3-8B-Instruct", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.15.9"} | {'num_of_instances': 100, 'accuracy': 0.75, 'score': 0.75, 'score_name': 'accuracy', 'accuracy_ci_low': 0.65, 'accuracy_ci_high': 0.83, 'score_ci_low': 0.65, 'score_ci_high': 0.83} | 1 | a100_80gb |
14892d3192191918a400b72916aa14d0b2e0d38c53f802a55ecd795b25d2513e | "2024-12-22T12:33:32.544000Z" | meta-llama/Meta-Llama-3-8B-Instruct | card=cards.mmlu.security_studies,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MultipleChoiceTemplatesInstructionsWithTopicHelm.enumerator_lowercase_choicesSeparator_semicolon_shuffleChoices_True,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 16.346547 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "meta-llama/Meta-Llama-3-8B-Instruct", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.15.9"} | {'num_of_instances': 100, 'accuracy': 0.75, 'score': 0.75, 'score_name': 'accuracy', 'accuracy_ci_low': 0.66, 'accuracy_ci_high': 0.83, 'score_ci_low': 0.66, 'score_ci_high': 0.83} | 1 | a100_80gb |
aecbabc6ff1b5188be2bf7ac9328a5f3c52915d4be7a55b716e88bc2d849ac01 | "2024-12-22T12:33:51.374000Z" | meta-llama/Meta-Llama-3-8B-Instruct | card=cards.mmlu.security_studies,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MultipleChoiceTemplatesInstructionsWithTopicHelm.enumerator_lowercase_choicesSeparator_pipe_shuffleChoices_False,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 16.090272 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "meta-llama/Meta-Llama-3-8B-Instruct", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.15.9"} | {'num_of_instances': 100, 'accuracy': 0.74, 'score': 0.74, 'score_name': 'accuracy', 'accuracy_ci_low': 0.64, 'accuracy_ci_high': 0.82, 'score_ci_low': 0.64, 'score_ci_high': 0.82} | 1 | a100_80gb |
165312ae1e4e5eaa861ce4f703e34543fe01e3cc41d49f9437b71111a210029e | "2024-12-22T12:33:19.744000Z" | mistralai/Mistral-7B-Instruct-v0.3 | card=cards.mmlu.astronomy,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.MultipleChoiceTemplatesInstructionsWithTopic.enumerator_greek_choicesSeparator_semicolon_shuffleChoices_False,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 3.362745 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "mistralai/Mistral-7B-Instruct-v0.3", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.15.9"} | {'num_of_instances': 100, 'accuracy': 0.56, 'score': 0.56, 'score_name': 'accuracy', 'accuracy_ci_low': 0.46, 'accuracy_ci_high': 0.65662632820598, 'score_ci_low': 0.46, 'score_ci_high': 0.65662632820598} | 1 | a100_80gb |
a06bc4921f22ee1c9b79f779ac49b6540a7c09618c7a497dcbe70dc2db155495 | "2024-12-22T12:33:24Z" | mistralai/Mistral-7B-Instruct-v0.3 | card=cards.mmlu.astronomy,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.MultipleChoiceTemplatesInstructionsWithTopic.enumerator_greek_choicesSeparator_semicolon_shuffleChoices_True,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 3.474449 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "mistralai/Mistral-7B-Instruct-v0.3", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.15.9"} | {'num_of_instances': 100, 'accuracy': 0.55, 'score': 0.55, 'score_name': 'accuracy', 'accuracy_ci_low': 0.45, 'accuracy_ci_high': 0.65, 'score_ci_low': 0.45, 'score_ci_high': 0.65} | 1 | a100_80gb |
f0d1ac60505e15a686b022ec336f6d2b559c65927e992235dd70dfba977c29f8 | "2024-12-22T12:33:27.270000Z" | mistralai/Mistral-7B-Instruct-v0.3 | card=cards.mmlu.astronomy,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.MultipleChoiceTemplatesInstructionsWithTopic.enumerator_greek_choicesSeparator_pipe_shuffleChoices_False,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 2.494635 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "mistralai/Mistral-7B-Instruct-v0.3", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.15.9"} | {'num_of_instances': 100, 'accuracy': 0.57, 'score': 0.57, 'score_name': 'accuracy', 'accuracy_ci_low': 0.47, 'accuracy_ci_high': 0.66, 'score_ci_low': 0.47, 'score_ci_high': 0.66} | 1 | a100_80gb |
06c9e9caad1e9e02e2c121eebb0f88c6bb5b5c1f605b721b16b648acb0b196a9 | "2024-12-22T12:33:31.725000Z" | mistralai/Mistral-7B-Instruct-v0.3 | card=cards.mmlu.astronomy,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.MultipleChoiceTemplatesInstructionsWithTopic.enumerator_greek_choicesSeparator_pipe_shuffleChoices_True,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 2.563089 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "mistralai/Mistral-7B-Instruct-v0.3", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.15.9"} | {'num_of_instances': 100, 'accuracy': 0.58, 'score': 0.58, 'score_name': 'accuracy', 'accuracy_ci_low': 0.47, 'accuracy_ci_high': 0.67, 'score_ci_low': 0.47, 'score_ci_high': 0.67} | 1 | a100_80gb |
26ee76030a86e65a999f48397a0d974c1f430bd7a1691cfb82283be73eb7821f | "2024-12-22T12:33:36.348000Z" | mistralai/Mistral-7B-Instruct-v0.3 | card=cards.mmlu.astronomy,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.MultipleChoiceTemplatesInstructionsWithTopic.enumerator_greek_choicesSeparator_OrCapital_shuffleChoices_False,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 3.849224 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "mistralai/Mistral-7B-Instruct-v0.3", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.15.9"} | {'num_of_instances': 100, 'accuracy': 0.54, 'score': 0.54, 'score_name': 'accuracy', 'accuracy_ci_low': 0.44, 'accuracy_ci_high': 0.64, 'score_ci_low': 0.44, 'score_ci_high': 0.64} | 1 | a100_80gb |
709996597495e3461dd720ded306c52bdf966755acb1091dd55939d2edad3fe0 | "2024-12-22T12:33:40.140000Z" | mistralai/Mistral-7B-Instruct-v0.3 | card=cards.mmlu.astronomy,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.MultipleChoiceTemplatesInstructionsWithTopic.enumerator_greek_choicesSeparator_OrCapital_shuffleChoices_True,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 2.488766 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "mistralai/Mistral-7B-Instruct-v0.3", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.15.9"} | {'num_of_instances': 100, 'accuracy': 0.53, 'score': 0.53, 'score_name': 'accuracy', 'accuracy_ci_low': 0.43, 'accuracy_ci_high': 0.63, 'score_ci_low': 0.43, 'score_ci_high': 0.63} | 1 | a100_80gb |
5b499c2cb42390ad89a66ea82ac8cc52754d21338d9a8e71854c3b1bf53bbbbb | "2024-12-22T12:33:43.459000Z" | mistralai/Mistral-7B-Instruct-v0.3 | card=cards.mmlu.astronomy,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.MultipleChoiceTemplatesInstructionsWithTopic.enumerator_greek_choicesSeparator_orLower_shuffleChoices_False,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 2.498501 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "mistralai/Mistral-7B-Instruct-v0.3", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.15.9"} | {'num_of_instances': 100, 'accuracy': 0.53, 'score': 0.53, 'score_name': 'accuracy', 'accuracy_ci_low': 0.43, 'accuracy_ci_high': 0.63, 'score_ci_low': 0.43, 'score_ci_high': 0.63} | 1 | a100_80gb |
829b2652bf9d9cf4dc7371a7007f50dc5a3c6c8732247d450fccc2c7728555e7 | "2024-12-22T12:33:46.766000Z" | mistralai/Mistral-7B-Instruct-v0.3 | card=cards.mmlu.astronomy,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.MultipleChoiceTemplatesInstructionsWithTopic.enumerator_greek_choicesSeparator_orLower_shuffleChoices_True,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 2.508389 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "mistralai/Mistral-7B-Instruct-v0.3", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.15.9"} | {'num_of_instances': 100, 'accuracy': 0.53, 'score': 0.53, 'score_name': 'accuracy', 'accuracy_ci_low': 0.43, 'accuracy_ci_high': 0.63, 'score_ci_low': 0.43, 'score_ci_high': 0.63} | 1 | a100_80gb |
5a145cb42aa79805297b512c94d87e7218e5fd73057382bf63b2f7bb6497f026 | "2024-12-22T12:33:50.971000Z" | mistralai/Mistral-7B-Instruct-v0.3 | card=cards.mmlu.astronomy,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.MultipleChoiceTemplatesInstructionsWithoutTopic.enumerator_capitals_choicesSeparator_space_shuffleChoices_False,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 3.448765 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "mistralai/Mistral-7B-Instruct-v0.3", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.15.9"} | {'num_of_instances': 100, 'accuracy': 0.62, 'score': 0.62, 'score_name': 'accuracy', 'accuracy_ci_low': 0.52, 'accuracy_ci_high': 0.71, 'score_ci_low': 0.52, 'score_ci_high': 0.71} | 1 | a100_80gb |
824773cc96941a9c7d3e6dafcaf24e657aea696550a8d642f86e254b31864f3b | "2024-12-22T12:33:54.106000Z" | mistralai/Mistral-7B-Instruct-v0.3 | card=cards.mmlu.astronomy,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.MultipleChoiceTemplatesInstructionsWithoutTopic.enumerator_capitals_choicesSeparator_space_shuffleChoices_True,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 2.380596 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "mistralai/Mistral-7B-Instruct-v0.3", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.15.9"} | {'num_of_instances': 100, 'accuracy': 0.57, 'score': 0.57, 'score_name': 'accuracy', 'accuracy_ci_low': 0.47, 'accuracy_ci_high': 0.66, 'score_ci_low': 0.47, 'score_ci_high': 0.66} | 1 | a100_80gb |
d808991fedc61526f6d15c679d744a0986f751c7c1d780ec550948955d3238e0 | "2024-12-22T12:32:58.679000Z" | allenai/OLMoE-1B-7B-0924-Instruct | card=cards.mmlu.business_ethics,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MultipleChoiceTemplatesInstructionsWithoutTopic.enumerator_roman_choicesSeparator_orLower_shuffleChoices_False,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 5.538413 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "allenai/OLMoE-1B-7B-0924-Instruct", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.15.9"} | {'num_of_instances': 100, 'accuracy': 0.46, 'score': 0.46, 'score_name': 'accuracy', 'accuracy_ci_low': 0.37, 'accuracy_ci_high': 0.5636621363761151, 'score_ci_low': 0.37, 'score_ci_high': 0.5636621363761151} | 1 | a100_80gb |
3aa2d7b178e84c70d86257d224d5228cef2d6636f1e0b5874f39af4b463a19ec | "2024-12-22T12:33:05.448000Z" | allenai/OLMoE-1B-7B-0924-Instruct | card=cards.mmlu.business_ethics,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MultipleChoiceTemplatesInstructionsWithoutTopic.enumerator_roman_choicesSeparator_orLower_shuffleChoices_True,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 5.175854 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "allenai/OLMoE-1B-7B-0924-Instruct", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.15.9"} | {'num_of_instances': 100, 'accuracy': 0.42, 'score': 0.42, 'score_name': 'accuracy', 'accuracy_ci_low': 0.32, 'accuracy_ci_high': 0.51, 'score_ci_low': 0.32, 'score_ci_high': 0.51} | 1 | a100_80gb |
55d30baef8d1f2cc48f514046a934738f80839f94785b5619a350b5bd722674d | "2024-12-22T12:33:10.659000Z" | allenai/OLMoE-1B-7B-0924-Instruct | card=cards.mmlu.business_ethics,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MultipleChoiceTemplatesInstructionsWithoutTopic.enumerator_keyboard_choicesSeparator_space_shuffleChoices_False,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 3.733554 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "allenai/OLMoE-1B-7B-0924-Instruct", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.15.9"} | {'num_of_instances': 100, 'accuracy': 0.46, 'score': 0.46, 'score_name': 'accuracy', 'accuracy_ci_low': 0.37, 'accuracy_ci_high': 0.56, 'score_ci_low': 0.37, 'score_ci_high': 0.56} | 1 | a100_80gb |
12a28b9ce43af2011f349c78406bd8216f3079898a7950697c135f1a05f27d1e | "2024-12-22T12:33:19.005000Z" | allenai/OLMoE-1B-7B-0924-Instruct | card=cards.mmlu.business_ethics,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MultipleChoiceTemplatesInstructionsWithoutTopic.enumerator_keyboard_choicesSeparator_space_shuffleChoices_True,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 5.815488 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "allenai/OLMoE-1B-7B-0924-Instruct", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.15.9"} | {'num_of_instances': 100, 'accuracy': 0.49, 'score': 0.49, 'score_name': 'accuracy', 'accuracy_ci_low': 0.39, 'accuracy_ci_high': 0.6, 'score_ci_low': 0.39, 'score_ci_high': 0.6} | 1 | a100_80gb |
795e1405c59fe2a127450c126062a00bd0697b1989fe552452634cd30e2d0ef4 | "2024-12-22T12:33:24.764000Z" | allenai/OLMoE-1B-7B-0924-Instruct | card=cards.mmlu.business_ethics,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MultipleChoiceTemplatesInstructionsWithoutTopic.enumerator_keyboard_choicesSeparator_newline_shuffleChoices_False,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 4.323741 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "allenai/OLMoE-1B-7B-0924-Instruct", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.15.9"} | {'num_of_instances': 100, 'accuracy': 0.45, 'score': 0.45, 'score_name': 'accuracy', 'accuracy_ci_low': 0.36, 'accuracy_ci_high': 0.55, 'score_ci_low': 0.36, 'score_ci_high': 0.55} | 1 | a100_80gb |
bfc4aea048ea8be6d051c93b57870121f25ccb58c3da29d42e0b60e1749d31ca | "2024-12-22T12:33:29.934000Z" | allenai/OLMoE-1B-7B-0924-Instruct | card=cards.mmlu.business_ethics,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MultipleChoiceTemplatesInstructionsWithoutTopic.enumerator_keyboard_choicesSeparator_newline_shuffleChoices_True,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 3.687631 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "allenai/OLMoE-1B-7B-0924-Instruct", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.15.9"} | {'num_of_instances': 100, 'accuracy': 0.43, 'score': 0.43, 'score_name': 'accuracy', 'accuracy_ci_low': 0.33, 'accuracy_ci_high': 0.52, 'score_ci_low': 0.33, 'score_ci_high': 0.52} | 1 | a100_80gb |
9e0645840aa2ce060b29d8af38ff81d70d85e4e2902c7b192f0c9d187e577180 | "2024-12-22T12:33:36.496000Z" | allenai/OLMoE-1B-7B-0924-Instruct | card=cards.mmlu.business_ethics,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MultipleChoiceTemplatesInstructionsWithoutTopic.enumerator_keyboard_choicesSeparator_comma_shuffleChoices_False,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 5.057516 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "allenai/OLMoE-1B-7B-0924-Instruct", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.15.9"} | {'num_of_instances': 100, 'accuracy': 0.41, 'score': 0.41, 'score_name': 'accuracy', 'accuracy_ci_low': 0.31, 'accuracy_ci_high': 0.51, 'score_ci_low': 0.31, 'score_ci_high': 0.51} | 1 | a100_80gb |
05f626d6551e075d8d7422695a0af7d41849115276a7ecbf6ae86a7133294c09 | "2024-12-22T12:33:42.355000Z" | allenai/OLMoE-1B-7B-0924-Instruct | card=cards.mmlu.business_ethics,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MultipleChoiceTemplatesInstructionsWithoutTopic.enumerator_keyboard_choicesSeparator_comma_shuffleChoices_True,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 4.346487 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "allenai/OLMoE-1B-7B-0924-Instruct", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.15.9"} | {'num_of_instances': 100, 'accuracy': 0.45, 'score': 0.45, 'score_name': 'accuracy', 'accuracy_ci_low': 0.35, 'accuracy_ci_high': 0.55, 'score_ci_low': 0.35, 'score_ci_high': 0.55} | 1 | a100_80gb |
3c6af3efc4d3f5c46618455e444e2b60860bc9807e1c9e3154e18f43a5c863e5 | "2024-12-22T12:33:47.744000Z" | allenai/OLMoE-1B-7B-0924-Instruct | card=cards.mmlu.business_ethics,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MultipleChoiceTemplatesInstructionsWithoutTopic.enumerator_keyboard_choicesSeparator_semicolon_shuffleChoices_False,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 3.875266 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "allenai/OLMoE-1B-7B-0924-Instruct", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.15.9"} | {'num_of_instances': 100, 'accuracy': 0.48, 'score': 0.48, 'score_name': 'accuracy', 'accuracy_ci_low': 0.38, 'accuracy_ci_high': 0.58, 'score_ci_low': 0.38, 'score_ci_high': 0.58} | 1 | a100_80gb |
3df10741d9d0f253c182a3495e8bf08a733abd59cfa4bbf957bb8c22122c6520 | "2024-12-22T12:33:53.618000Z" | allenai/OLMoE-1B-7B-0924-Instruct | card=cards.mmlu.business_ethics,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MultipleChoiceTemplatesInstructionsWithoutTopic.enumerator_keyboard_choicesSeparator_semicolon_shuffleChoices_True,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 4.370556 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "allenai/OLMoE-1B-7B-0924-Instruct", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.15.9"} | {'num_of_instances': 100, 'accuracy': 0.49, 'score': 0.49, 'score_name': 'accuracy', 'accuracy_ci_low': 0.39, 'accuracy_ci_high': 0.58, 'score_ci_low': 0.39, 'score_ci_high': 0.58} | 1 | a100_80gb |
ebc63b986e5db43c8dcc52e2de621ef6beec9770076c228eeb7677a5035954d7 | "2024-12-22T12:33:12.322000Z" | mistralai/Mistral-7B-Instruct-v0.3 | card=cards.mmlu.high_school_chemistry,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.MultipleChoiceTemplatesInstructionsWithTopic.enumerator_numbers_choicesSeparator_OrCapital_shuffleChoices_True,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 3.996771 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "mistralai/Mistral-7B-Instruct-v0.3", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.15.9"} | {'num_of_instances': 100, 'accuracy': 0.36, 'score': 0.36, 'score_name': 'accuracy', 'accuracy_ci_low': 0.27, 'accuracy_ci_high': 0.46, 'score_ci_low': 0.27, 'score_ci_high': 0.46} | 1 | a100_80gb |
f6256f914c0083544c92366b58e38e954b1b5ea03b128d71fcc0d0282fb25f2a | "2024-12-22T12:33:15.622000Z" | mistralai/Mistral-7B-Instruct-v0.3 | card=cards.mmlu.high_school_chemistry,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.MultipleChoiceTemplatesInstructionsWithTopic.enumerator_numbers_choicesSeparator_orLower_shuffleChoices_False,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 2.537615 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "mistralai/Mistral-7B-Instruct-v0.3", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.15.9"} | {'num_of_instances': 100, 'accuracy': 0.38, 'score': 0.38, 'score_name': 'accuracy', 'accuracy_ci_low': 0.29, 'accuracy_ci_high': 0.47, 'score_ci_low': 0.29, 'score_ci_high': 0.47} | 1 | a100_80gb |
5a487e7da0d082e34e5a24b92a998eb588d1fee8f0b8503523f7c0cdd0ff941b | "2024-12-22T12:33:19.525000Z" | mistralai/Mistral-7B-Instruct-v0.3 | card=cards.mmlu.high_school_chemistry,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.MultipleChoiceTemplatesInstructionsWithTopic.enumerator_numbers_choicesSeparator_orLower_shuffleChoices_True,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 3.09923 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "mistralai/Mistral-7B-Instruct-v0.3", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.15.9"} | {'num_of_instances': 100, 'accuracy': 0.32, 'score': 0.32, 'score_name': 'accuracy', 'accuracy_ci_low': 0.23, 'accuracy_ci_high': 0.41, 'score_ci_low': 0.23, 'score_ci_high': 0.41} | 1 | a100_80gb |
af7611f3cad577bca1e74c7a78aec416e3c3dfa9950337a1a6e76908559c0257 | "2024-12-22T12:33:23.268000Z" | mistralai/Mistral-7B-Instruct-v0.3 | card=cards.mmlu.high_school_chemistry,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.MultipleChoiceTemplatesInstructionsWithTopic.enumerator_roman_choicesSeparator_space_shuffleChoices_False,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 2.998702 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "mistralai/Mistral-7B-Instruct-v0.3", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.15.9"} | {'num_of_instances': 100, 'accuracy': 0.32, 'score': 0.32, 'score_name': 'accuracy', 'accuracy_ci_low': 0.24, 'accuracy_ci_high': 0.42, 'score_ci_low': 0.24, 'score_ci_high': 0.42} | 1 | a100_80gb |
0683b41e6933322806bfbc457357d10bf68214feec4c9cbcb87db67caa3a6121 | "2024-12-22T12:33:27.768000Z" | mistralai/Mistral-7B-Instruct-v0.3 | card=cards.mmlu.high_school_chemistry,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.MultipleChoiceTemplatesInstructionsWithTopic.enumerator_roman_choicesSeparator_space_shuffleChoices_True,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 3.730273 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "mistralai/Mistral-7B-Instruct-v0.3", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.15.9"} | {'num_of_instances': 100, 'accuracy': 0.38, 'score': 0.38, 'score_name': 'accuracy', 'accuracy_ci_low': 0.28, 'accuracy_ci_high': 0.47, 'score_ci_low': 0.28, 'score_ci_high': 0.47} | 1 | a100_80gb |
067ab954e4d99f5fbb24c9184e3b905b41aff966860b193ae6dda4e1c81c622a | "2024-12-22T12:33:31.749000Z" | mistralai/Mistral-7B-Instruct-v0.3 | card=cards.mmlu.high_school_chemistry,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.MultipleChoiceTemplatesInstructionsWithTopic.enumerator_roman_choicesSeparator_newline_shuffleChoices_False,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 3.22533 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "mistralai/Mistral-7B-Instruct-v0.3", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.15.9"} | {'num_of_instances': 100, 'accuracy': 0.31, 'score': 0.31, 'score_name': 'accuracy', 'accuracy_ci_low': 0.22, 'accuracy_ci_high': 0.4058480685365907, 'score_ci_low': 0.22, 'score_ci_high': 0.4058480685365907} | 1 | a100_80gb |
52d5a6561e39091ae12e78a4acfeb3d6df63ec67f2218ab4496b252f480c4603 | "2024-12-22T12:33:34.986000Z" | mistralai/Mistral-7B-Instruct-v0.3 | card=cards.mmlu.high_school_chemistry,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.MultipleChoiceTemplatesInstructionsWithTopic.enumerator_roman_choicesSeparator_newline_shuffleChoices_True,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 2.487802 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "mistralai/Mistral-7B-Instruct-v0.3", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.15.9"} | {'num_of_instances': 100, 'accuracy': 0.39, 'score': 0.39, 'score_name': 'accuracy', 'accuracy_ci_low': 0.29, 'accuracy_ci_high': 0.49, 'score_ci_low': 0.29, 'score_ci_high': 0.49} | 1 | a100_80gb |
48c5f5232aad828f44703fe2def677402101f9b6f8339aecc88fc1c5bbe7b743 | "2024-12-22T12:33:38.370000Z" | mistralai/Mistral-7B-Instruct-v0.3 | card=cards.mmlu.high_school_chemistry,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.MultipleChoiceTemplatesInstructionsWithTopic.enumerator_roman_choicesSeparator_comma_shuffleChoices_False,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 2.604143 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "mistralai/Mistral-7B-Instruct-v0.3", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.15.9"} | {'num_of_instances': 100, 'accuracy': 0.35, 'score': 0.35, 'score_name': 'accuracy', 'accuracy_ci_low': 0.26, 'accuracy_ci_high': 0.45, 'score_ci_low': 0.26, 'score_ci_high': 0.45} | 1 | a100_80gb |
aef4c75bf402422ec5645d87356af526f5c126c2525759722c6561637c461a54 | "2024-12-22T12:33:42.717000Z" | mistralai/Mistral-7B-Instruct-v0.3 | card=cards.mmlu.high_school_chemistry,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.MultipleChoiceTemplatesInstructionsWithTopic.enumerator_roman_choicesSeparator_comma_shuffleChoices_True,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 3.594414 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "mistralai/Mistral-7B-Instruct-v0.3", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.15.9"} | {'num_of_instances': 100, 'accuracy': 0.4, 'score': 0.4, 'score_name': 'accuracy', 'accuracy_ci_low': 0.3, 'accuracy_ci_high': 0.5, 'score_ci_low': 0.3, 'score_ci_high': 0.5} | 1 | a100_80gb |
b81dd4cc1491b6284cf2f4a1a9d607da9c0e7024a52b6c61c66cb8fed11da289 | "2024-12-22T12:33:45.952000Z" | mistralai/Mistral-7B-Instruct-v0.3 | card=cards.mmlu.high_school_chemistry,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.MultipleChoiceTemplatesInstructionsWithTopic.enumerator_roman_choicesSeparator_semicolon_shuffleChoices_False,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 2.484271 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "mistralai/Mistral-7B-Instruct-v0.3", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.15.9"} | {'num_of_instances': 100, 'accuracy': 0.36, 'score': 0.36, 'score_name': 'accuracy', 'accuracy_ci_low': 0.27, 'accuracy_ci_high': 0.46, 'score_ci_low': 0.27, 'score_ci_high': 0.46} | 1 | a100_80gb |
1ada6ddf2640fd66cae58ca038a649beb6320d044c29e4d46060f5aac55ab132 | "2024-12-22T12:32:34.005000Z" | meta-llama/Meta-Llama-3-8B-Instruct | card=cards.mmlu.jurisprudence,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MultipleChoiceTemplatesInstructionsWithoutTopic.enumerator_keyboard_choicesSeparator_pipe_shuffleChoices_True,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 7.506241 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "meta-llama/Meta-Llama-3-8B-Instruct", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.15.9"} | {'num_of_instances': 100, 'accuracy': 0.7, 'score': 0.7, 'score_name': 'accuracy', 'accuracy_ci_low': 0.6, 'accuracy_ci_high': 0.78, 'score_ci_low': 0.6, 'score_ci_high': 0.78} | 1 | a100_80gb |
97e2de9df43d85a9bb4af5750cf85be41436f32ec87a9dd2dad25e36442c2349 | "2024-12-22T12:32:40.859000Z" | meta-llama/Meta-Llama-3-8B-Instruct | card=cards.mmlu.jurisprudence,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MultipleChoiceTemplatesInstructionsWithoutTopic.enumerator_keyboard_choicesSeparator_OrCapital_shuffleChoices_False,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 5.733387 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "meta-llama/Meta-Llama-3-8B-Instruct", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.15.9"} | {'num_of_instances': 100, 'accuracy': 0.67, 'score': 0.67, 'score_name': 'accuracy', 'accuracy_ci_low': 0.58, 'accuracy_ci_high': 0.76, 'score_ci_low': 0.58, 'score_ci_high': 0.76} | 1 | a100_80gb |
f342fa566a9a37fdd604ca8293583290072b1acf3647c50efa294bfd48c6d8c5 | "2024-12-22T12:32:50.460000Z" | meta-llama/Meta-Llama-3-8B-Instruct | card=cards.mmlu.jurisprudence,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MultipleChoiceTemplatesInstructionsWithoutTopic.enumerator_keyboard_choicesSeparator_OrCapital_shuffleChoices_True,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 8.48407 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "meta-llama/Meta-Llama-3-8B-Instruct", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.15.9"} | {'num_of_instances': 100, 'accuracy': 0.69, 'score': 0.69, 'score_name': 'accuracy', 'accuracy_ci_low': 0.5905291160882183, 'accuracy_ci_high': 0.77, 'score_ci_low': 0.5905291160882183, 'score_ci_high': 0.77} | 1 | a100_80gb |
e49c31cf47f7271ee85630d8f7deb09be5d9fd0361ec375a607d4fb44bfa03f0 | "2024-12-22T12:32:57.301000Z" | meta-llama/Meta-Llama-3-8B-Instruct | card=cards.mmlu.jurisprudence,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MultipleChoiceTemplatesInstructionsWithoutTopic.enumerator_keyboard_choicesSeparator_orLower_shuffleChoices_False,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 5.707171 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "meta-llama/Meta-Llama-3-8B-Instruct", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.15.9"} | {'num_of_instances': 100, 'accuracy': 0.69, 'score': 0.69, 'score_name': 'accuracy', 'accuracy_ci_low': 0.6, 'accuracy_ci_high': 0.78, 'score_ci_low': 0.6, 'score_ci_high': 0.78} | 1 | a100_80gb |
508dfd7a7a1e5b560045c487f93e1443646f89c4b5f992fed26f2c631ae347a9 | "2024-12-22T12:33:05.063000Z" | meta-llama/Meta-Llama-3-8B-Instruct | card=cards.mmlu.jurisprudence,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MultipleChoiceTemplatesInstructionsWithoutTopic.enumerator_keyboard_choicesSeparator_orLower_shuffleChoices_True,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 6.641639 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "meta-llama/Meta-Llama-3-8B-Instruct", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.15.9"} | {'num_of_instances': 100, 'accuracy': 0.71, 'score': 0.71, 'score_name': 'accuracy', 'accuracy_ci_low': 0.61, 'accuracy_ci_high': 0.79, 'score_ci_low': 0.61, 'score_ci_high': 0.79} | 1 | a100_80gb |
5e87adf54877818bca8574034bf66db5991863441934dbff64be55d6137ba74d | "2024-12-22T12:33:11.867000Z" | meta-llama/Meta-Llama-3-8B-Instruct | card=cards.mmlu.jurisprudence,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MultipleChoiceTemplatesInstructionsWithoutTopic.enumerator_greek_choicesSeparator_space_shuffleChoices_False,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 5.687268 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "meta-llama/Meta-Llama-3-8B-Instruct", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.15.9"} | {'num_of_instances': 100, 'accuracy': 0.75, 'score': 0.75, 'score_name': 'accuracy', 'accuracy_ci_low': 0.65, 'accuracy_ci_high': 0.83, 'score_ci_low': 0.65, 'score_ci_high': 0.83} | 1 | a100_80gb |
42c23034d2121655506255ec74bc44631b849f82e3e7e6756c08208a903afc2a | "2024-12-22T12:33:18.715000Z" | meta-llama/Meta-Llama-3-8B-Instruct | card=cards.mmlu.jurisprudence,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MultipleChoiceTemplatesInstructionsWithoutTopic.enumerator_greek_choicesSeparator_space_shuffleChoices_True,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 5.733745 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "meta-llama/Meta-Llama-3-8B-Instruct", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.15.9"} | {'num_of_instances': 100, 'accuracy': 0.71, 'score': 0.71, 'score_name': 'accuracy', 'accuracy_ci_low': 0.62, 'accuracy_ci_high': 0.79, 'score_ci_low': 0.62, 'score_ci_high': 0.79} | 1 | a100_80gb |
402f13ea4b7bdcaa421a68302978a7e9e7383cea631775683d074ce018b56a19 | "2024-12-22T12:33:26.186000Z" | meta-llama/Meta-Llama-3-8B-Instruct | card=cards.mmlu.jurisprudence,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MultipleChoiceTemplatesInstructionsWithoutTopic.enumerator_greek_choicesSeparator_newline_shuffleChoices_False,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 6.343838 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "meta-llama/Meta-Llama-3-8B-Instruct", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.15.9"} | {'num_of_instances': 100, 'accuracy': 0.76, 'score': 0.76, 'score_name': 'accuracy', 'accuracy_ci_low': 0.6685824908592428, 'accuracy_ci_high': 0.84, 'score_ci_low': 0.6685824908592428, 'score_ci_high': 0.84} | 1 | a100_80gb |
0fb5aa2d39bb8c2ee26bbf7bb39b473a6e23ab93fd7ed37941dcd2b5881c9181 | "2024-12-22T12:33:32.914000Z" | meta-llama/Meta-Llama-3-8B-Instruct | card=cards.mmlu.jurisprudence,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MultipleChoiceTemplatesInstructionsWithoutTopic.enumerator_greek_choicesSeparator_newline_shuffleChoices_True,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 5.608087 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "meta-llama/Meta-Llama-3-8B-Instruct", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.15.9"} | {'num_of_instances': 100, 'accuracy': 0.72, 'score': 0.72, 'score_name': 'accuracy', 'accuracy_ci_low': 0.62, 'accuracy_ci_high': 0.8, 'score_ci_low': 0.62, 'score_ci_high': 0.8} | 1 | a100_80gb |
ef507c026a90e3b69d556882876c19765c7d7c4fe1d09bb3358cb8220544e6c8 | "2024-12-22T12:33:40.206000Z" | meta-llama/Meta-Llama-3-8B-Instruct | card=cards.mmlu.jurisprudence,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MultipleChoiceTemplatesInstructionsWithoutTopic.enumerator_greek_choicesSeparator_comma_shuffleChoices_False,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 6.163358 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "meta-llama/Meta-Llama-3-8B-Instruct", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.15.9"} | {'num_of_instances': 100, 'accuracy': 0.74, 'score': 0.74, 'score_name': 'accuracy', 'accuracy_ci_low': 0.65, 'accuracy_ci_high': 0.82, 'score_ci_low': 0.65, 'score_ci_high': 0.82} | 1 | a100_80gb |
731a5fa1ae9dcd5dd71e599b402a174816471fedcbb16f27273526165084beac | "2024-12-22T12:32:55.600000Z" | mistralai/Mistral-7B-Instruct-v0.3 | card=cards.mmlu.logical_fallacies,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.MultipleChoiceTemplatesInstructionsWithTopic.enumerator_numbers_choicesSeparator_pipe_shuffleChoices_True,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 2.427535 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "mistralai/Mistral-7B-Instruct-v0.3", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.15.9"} | {'num_of_instances': 100, 'accuracy': 0.57, 'score': 0.57, 'score_name': 'accuracy', 'accuracy_ci_low': 0.47, 'accuracy_ci_high': 0.66, 'score_ci_low': 0.47, 'score_ci_high': 0.66} | 1 | a100_80gb |
ddca31e671115eb80de4e18df646581db7d358bdabe8621ea9e9bf6596a62fa6 | "2024-12-22T12:32:59.868000Z" | mistralai/Mistral-7B-Instruct-v0.3 | card=cards.mmlu.logical_fallacies,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.MultipleChoiceTemplatesInstructionsWithTopic.enumerator_numbers_choicesSeparator_OrCapital_shuffleChoices_False,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 3.514363 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "mistralai/Mistral-7B-Instruct-v0.3", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.15.9"} | {'num_of_instances': 100, 'accuracy': 0.58, 'score': 0.58, 'score_name': 'accuracy', 'accuracy_ci_low': 0.48, 'accuracy_ci_high': 0.67, 'score_ci_low': 0.48, 'score_ci_high': 0.67} | 1 | a100_80gb |
72190bc1560960755c9d1f6ab036c3c3a3c706534cb9480126cefd2ebdc3368e | "2024-12-22T12:33:03.552000Z" | mistralai/Mistral-7B-Instruct-v0.3 | card=cards.mmlu.logical_fallacies,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.MultipleChoiceTemplatesInstructionsWithTopic.enumerator_numbers_choicesSeparator_OrCapital_shuffleChoices_True,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 2.919946 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "mistralai/Mistral-7B-Instruct-v0.3", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.15.9"} | {'num_of_instances': 100, 'accuracy': 0.57, 'score': 0.57, 'score_name': 'accuracy', 'accuracy_ci_low': 0.48, 'accuracy_ci_high': 0.67, 'score_ci_low': 0.48, 'score_ci_high': 0.67} | 1 | a100_80gb |
eac012fb8480d783de5375b3538dce235003b0d0cc066c72505f1ef4ae7aa371 | "2024-12-22T12:33:07.624000Z" | mistralai/Mistral-7B-Instruct-v0.3 | card=cards.mmlu.logical_fallacies,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.MultipleChoiceTemplatesInstructionsWithTopic.enumerator_numbers_choicesSeparator_orLower_shuffleChoices_False,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 3.310609 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "mistralai/Mistral-7B-Instruct-v0.3", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.15.9"} | {'num_of_instances': 100, 'accuracy': 0.46, 'score': 0.46, 'score_name': 'accuracy', 'accuracy_ci_low': 0.37, 'accuracy_ci_high': 0.56, 'score_ci_low': 0.37, 'score_ci_high': 0.56} | 1 | a100_80gb |
236b416953d1f2894774171b93016d7cea73a7a28cbc723ba2fe2ace7fe195f2 | "2024-12-22T12:33:11.267000Z" | mistralai/Mistral-7B-Instruct-v0.3 | card=cards.mmlu.logical_fallacies,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.MultipleChoiceTemplatesInstructionsWithTopic.enumerator_numbers_choicesSeparator_orLower_shuffleChoices_True,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 2.88316 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "mistralai/Mistral-7B-Instruct-v0.3", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.15.9"} | {'num_of_instances': 100, 'accuracy': 0.38, 'score': 0.38, 'score_name': 'accuracy', 'accuracy_ci_low': 0.3, 'accuracy_ci_high': 0.48, 'score_ci_low': 0.3, 'score_ci_high': 0.48} | 1 | a100_80gb |
495d3dfa42e55e6e0926d4a8f3a45766b96e9e906e41dc9c129f4d59950c340d | "2024-12-22T12:33:14.356000Z" | mistralai/Mistral-7B-Instruct-v0.3 | card=cards.mmlu.logical_fallacies,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.MultipleChoiceTemplatesInstructionsWithTopic.enumerator_roman_choicesSeparator_space_shuffleChoices_False,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 2.326508 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "mistralai/Mistral-7B-Instruct-v0.3", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.15.9"} | {'num_of_instances': 100, 'accuracy': 0.45, 'score': 0.45, 'score_name': 'accuracy', 'accuracy_ci_low': 0.36, 'accuracy_ci_high': 0.5433774033166958, 'score_ci_low': 0.36, 'score_ci_high': 0.5433774033166958} | 1 | a100_80gb |
01130f740a4f87f56749a41981944ad96c5cfd49925da9af19aa611f896fb356 | "2024-12-22T12:33:17.413000Z" | mistralai/Mistral-7B-Instruct-v0.3 | card=cards.mmlu.logical_fallacies,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.MultipleChoiceTemplatesInstructionsWithTopic.enumerator_roman_choicesSeparator_space_shuffleChoices_True,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 2.303172 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "mistralai/Mistral-7B-Instruct-v0.3", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.15.9"} | {'num_of_instances': 100, 'accuracy': 0.46, 'score': 0.46, 'score_name': 'accuracy', 'accuracy_ci_low': 0.37, 'accuracy_ci_high': 0.56, 'score_ci_low': 0.37, 'score_ci_high': 0.56} | 1 | a100_80gb |
9a1311acdd1a1fc380eb949de2c3e979733f76b10f2d05eed36e54d55fa5e185 | "2024-12-22T12:33:20.487000Z" | mistralai/Mistral-7B-Instruct-v0.3 | card=cards.mmlu.logical_fallacies,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.MultipleChoiceTemplatesInstructionsWithTopic.enumerator_roman_choicesSeparator_newline_shuffleChoices_False,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 2.346459 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "mistralai/Mistral-7B-Instruct-v0.3", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.15.9"} | {'num_of_instances': 100, 'accuracy': 0.72, 'score': 0.72, 'score_name': 'accuracy', 'accuracy_ci_low': 0.63, 'accuracy_ci_high': 0.8, 'score_ci_low': 0.63, 'score_ci_high': 0.8} | 1 | a100_80gb |
730d36c772f0717c479110f4676fb0aa870b02ac97c8788df4da58f8a2cf8d19 | "2024-12-22T12:33:24.474000Z" | mistralai/Mistral-7B-Instruct-v0.3 | card=cards.mmlu.logical_fallacies,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.MultipleChoiceTemplatesInstructionsWithTopic.enumerator_roman_choicesSeparator_newline_shuffleChoices_True,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 3.252051 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "mistralai/Mistral-7B-Instruct-v0.3", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.15.9"} | {'num_of_instances': 100, 'accuracy': 0.65, 'score': 0.65, 'score_name': 'accuracy', 'accuracy_ci_low': 0.55, 'accuracy_ci_high': 0.74, 'score_ci_low': 0.55, 'score_ci_high': 0.74} | 1 | a100_80gb |
a1bf655b4dded94e3e153178fe0bab3e4233608d95868c41ad48c7a1bc8d559e | "2024-12-22T12:33:28.506000Z" | mistralai/Mistral-7B-Instruct-v0.3 | card=cards.mmlu.logical_fallacies,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.MultipleChoiceTemplatesInstructionsWithTopic.enumerator_roman_choicesSeparator_comma_shuffleChoices_False,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 3.254954 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "mistralai/Mistral-7B-Instruct-v0.3", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.15.9"} | {'num_of_instances': 100, 'accuracy': 0.67, 'score': 0.67, 'score_name': 'accuracy', 'accuracy_ci_low': 0.58, 'accuracy_ci_high': 0.7533972903737345, 'score_ci_low': 0.58, 'score_ci_high': 0.7533972903737345} | 1 | a100_80gb |
1243764f76adacd6bfb6d19efb712b4a2dceee07096ab5818a6632ab064b94e9 | "2024-12-22T12:32:30.574000Z" | mistralai/Mistral-7B-Instruct-v0.3 | card=cards.mmlu.sociology,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.MultipleChoiceTemplatesInstructionsWithoutTopic.enumerator_roman_choicesSeparator_orLower_shuffleChoices_False,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 2.260144 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "mistralai/Mistral-7B-Instruct-v0.3", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.15.9"} | {'num_of_instances': 100, 'accuracy': 0.77, 'score': 0.77, 'score_name': 'accuracy', 'accuracy_ci_low': 0.68, 'accuracy_ci_high': 0.8464125836473135, 'score_ci_low': 0.68, 'score_ci_high': 0.8464125836473135} | 1 | a100_80gb |
5ba2c5165a5d69f100d4c53d4b49d51f26b23804613b31db4ac34fa9b8cb6bd2 | "2024-12-22T12:32:34.113000Z" | mistralai/Mistral-7B-Instruct-v0.3 | card=cards.mmlu.sociology,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.MultipleChoiceTemplatesInstructionsWithoutTopic.enumerator_roman_choicesSeparator_orLower_shuffleChoices_True,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 2.803802 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "mistralai/Mistral-7B-Instruct-v0.3", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.15.9"} | {'num_of_instances': 100, 'accuracy': 0.64, 'score': 0.64, 'score_name': 'accuracy', 'accuracy_ci_low': 0.55, 'accuracy_ci_high': 0.74, 'score_ci_low': 0.55, 'score_ci_high': 0.74} | 1 | a100_80gb |
e83813f0b5c97fd6ba600567711490d7697366e2534ff87d234f6709a6c1d76c | "2024-12-22T12:32:38.425000Z" | mistralai/Mistral-7B-Instruct-v0.3 | card=cards.mmlu.sociology,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.MultipleChoiceTemplatesInstructionsWithoutTopic.enumerator_keyboard_choicesSeparator_space_shuffleChoices_False,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 3.571732 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "mistralai/Mistral-7B-Instruct-v0.3", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.15.9"} | {'num_of_instances': 100, 'accuracy': 0.45, 'score': 0.45, 'score_name': 'accuracy', 'accuracy_ci_low': 0.35, 'accuracy_ci_high': 0.55, 'score_ci_low': 0.35, 'score_ci_high': 0.55} | 1 | a100_80gb |
9682fa0fa7e4d5a5de42c01cf10aa0ea5c81dc19f70d463663419876e5a4f4d6 | "2024-12-22T12:32:42.433000Z" | mistralai/Mistral-7B-Instruct-v0.3 | card=cards.mmlu.sociology,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.MultipleChoiceTemplatesInstructionsWithoutTopic.enumerator_keyboard_choicesSeparator_space_shuffleChoices_True,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 3.242678 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "mistralai/Mistral-7B-Instruct-v0.3", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.15.9"} | {'num_of_instances': 100, 'accuracy': 0.53, 'score': 0.53, 'score_name': 'accuracy', 'accuracy_ci_low': 0.43, 'accuracy_ci_high': 0.63, 'score_ci_low': 0.43, 'score_ci_high': 0.63} | 1 | a100_80gb |
abe23433109d7b7ec583a1498c0b370a57e3cde334f88840dc639a43216dd270 | "2024-12-22T12:32:45.935000Z" | mistralai/Mistral-7B-Instruct-v0.3 | card=cards.mmlu.sociology,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.MultipleChoiceTemplatesInstructionsWithoutTopic.enumerator_keyboard_choicesSeparator_newline_shuffleChoices_False,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 2.774289 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "mistralai/Mistral-7B-Instruct-v0.3", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.15.9"} | {'num_of_instances': 100, 'accuracy': 0.61, 'score': 0.61, 'score_name': 'accuracy', 'accuracy_ci_low': 0.51, 'accuracy_ci_high': 0.71, 'score_ci_low': 0.51, 'score_ci_high': 0.71} | 1 | a100_80gb |
5366ddc7c0b41f5afd2e6e40a5f7229f05fd7a4b8802fcab205260d6afcccfa9 | "2024-12-22T12:32:48.929000Z" | mistralai/Mistral-7B-Instruct-v0.3 | card=cards.mmlu.sociology,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.MultipleChoiceTemplatesInstructionsWithoutTopic.enumerator_keyboard_choicesSeparator_newline_shuffleChoices_True,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 2.255959 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "mistralai/Mistral-7B-Instruct-v0.3", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.15.9"} | {'num_of_instances': 100, 'accuracy': 0.67, 'score': 0.67, 'score_name': 'accuracy', 'accuracy_ci_low': 0.57, 'accuracy_ci_high': 0.75, 'score_ci_low': 0.57, 'score_ci_high': 0.75} | 1 | a100_80gb |
01f383372c8c17ff66fda176c95e106453fa3a2184a0276c0c5037d143f0cda1 | "2024-12-22T12:32:51.934000Z" | mistralai/Mistral-7B-Instruct-v0.3 | card=cards.mmlu.sociology,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.MultipleChoiceTemplatesInstructionsWithoutTopic.enumerator_keyboard_choicesSeparator_comma_shuffleChoices_False,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 2.269901 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "mistralai/Mistral-7B-Instruct-v0.3", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.15.9"} | {'num_of_instances': 100, 'accuracy': 0.63, 'score': 0.63, 'score_name': 'accuracy', 'accuracy_ci_low': 0.54, 'accuracy_ci_high': 0.73, 'score_ci_low': 0.54, 'score_ci_high': 0.73} | 1 | a100_80gb |
2571d7e1e95cc7299cc0db1fdcf0a7dba482d4e66b7f05dd7ff9f705cad22b97 | "2024-12-22T12:32:54.989000Z" | mistralai/Mistral-7B-Instruct-v0.3 | card=cards.mmlu.sociology,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.MultipleChoiceTemplatesInstructionsWithoutTopic.enumerator_keyboard_choicesSeparator_comma_shuffleChoices_True,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 2.322674 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "mistralai/Mistral-7B-Instruct-v0.3", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.15.9"} | {'num_of_instances': 100, 'accuracy': 0.69, 'score': 0.69, 'score_name': 'accuracy', 'accuracy_ci_low': 0.59, 'accuracy_ci_high': 0.77, 'score_ci_low': 0.59, 'score_ci_high': 0.77} | 1 | a100_80gb |
b40a05cf759be93f65113683ad601e0dad7e8cc47cf13ebdcad0019e6a89ad3c | "2024-12-22T12:32:59.165000Z" | mistralai/Mistral-7B-Instruct-v0.3 | card=cards.mmlu.sociology,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.MultipleChoiceTemplatesInstructionsWithoutTopic.enumerator_keyboard_choicesSeparator_semicolon_shuffleChoices_False,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 3.447191 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "mistralai/Mistral-7B-Instruct-v0.3", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.15.9"} | {'num_of_instances': 100, 'accuracy': 0.63, 'score': 0.63, 'score_name': 'accuracy', 'accuracy_ci_low': 0.53, 'accuracy_ci_high': 0.72, 'score_ci_low': 0.53, 'score_ci_high': 0.72} | 1 | a100_80gb |
30a88d49c06b56e1668055ac6be4df777306e5bae886d3d7b0b15cd82c74f201 | "2024-12-22T12:33:03.089000Z" | mistralai/Mistral-7B-Instruct-v0.3 | card=cards.mmlu.sociology,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.MultipleChoiceTemplatesInstructionsWithoutTopic.enumerator_keyboard_choicesSeparator_semicolon_shuffleChoices_True,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 3.176126 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "mistralai/Mistral-7B-Instruct-v0.3", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.15.9"} | {'num_of_instances': 100, 'accuracy': 0.64, 'score': 0.64, 'score_name': 'accuracy', 'accuracy_ci_low': 0.53, 'accuracy_ci_high': 0.72, 'score_ci_low': 0.53, 'score_ci_high': 0.72} | 1 | a100_80gb |
b6113bbea9b9eb6197c8c0987fc231c9894e647cd419622a6ec82ea268fe0e53 | "2024-12-22T12:32:35.390000Z" | meta-llama/Llama-3.2-1B-Instruct | card=cards.mmlu.business_ethics,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MultipleChoiceTemplatesInstructionsWithoutTopic.enumerator_numbers_choicesSeparator_comma_shuffleChoices_False,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 4.417968 | {"n": 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-3.2-1B-Instruct", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.15.9"} | {'num_of_instances': 100, 'accuracy': 0.34, 'score': 0.34, 'score_name': 'accuracy', 'accuracy_ci_low': 0.25, 'accuracy_ci_high': 0.44, 'score_ci_low': 0.25, 'score_ci_high': 0.44} | 1 | a100_80gb |
985b47f69674ea1499756bfbe512aa584ef66dfb7b59ee100c72054d8ceb244d | "2024-12-22T12:32:39.871000Z" | meta-llama/Llama-3.2-1B-Instruct | card=cards.mmlu.business_ethics,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MultipleChoiceTemplatesInstructionsWithoutTopic.enumerator_numbers_choicesSeparator_comma_shuffleChoices_True,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 3.100133 | {"n": 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-3.2-1B-Instruct", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.15.9"} | {'num_of_instances': 100, 'accuracy': 0.28, 'score': 0.28, 'score_name': 'accuracy', 'accuracy_ci_low': 0.2, 'accuracy_ci_high': 0.38, 'score_ci_low': 0.2, 'score_ci_high': 0.38} | 1 | a100_80gb |
81b1581232cfbf18b8d3b7b58b007c2aa573ab4d23c727a04b5365f37b39df61 | "2024-12-22T12:32:44.506000Z" | meta-llama/Llama-3.2-1B-Instruct | card=cards.mmlu.business_ethics,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MultipleChoiceTemplatesInstructionsWithoutTopic.enumerator_numbers_choicesSeparator_semicolon_shuffleChoices_False,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 3.232862 | {"n": 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-3.2-1B-Instruct", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.15.9"} | {'num_of_instances': 100, 'accuracy': 0.36, 'score': 0.36, 'score_name': 'accuracy', 'accuracy_ci_low': 0.27, 'accuracy_ci_high': 0.46, 'score_ci_low': 0.27, 'score_ci_high': 0.46} | 1 | a100_80gb |
9548e421dbd5a9bb0152c43bc639d044af0cc21adaff0a564ba73750afb5d6f4 | "2024-12-22T12:32:50.233000Z" | meta-llama/Llama-3.2-1B-Instruct | card=cards.mmlu.business_ethics,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MultipleChoiceTemplatesInstructionsWithoutTopic.enumerator_numbers_choicesSeparator_semicolon_shuffleChoices_True,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 3.104043 | {"n": 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-3.2-1B-Instruct", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.15.9"} | {'num_of_instances': 100, 'accuracy': 0.29, 'score': 0.29, 'score_name': 'accuracy', 'accuracy_ci_low': 0.21, 'accuracy_ci_high': 0.39, 'score_ci_low': 0.21, 'score_ci_high': 0.39} | 1 | a100_80gb |
00bfb51ed541de07db68981310ad37feb8f07f7937bc8e68976c01a0c2b619fa | "2024-12-22T12:32:56.054000Z" | meta-llama/Llama-3.2-1B-Instruct | card=cards.mmlu.business_ethics,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MultipleChoiceTemplatesInstructionsWithoutTopic.enumerator_numbers_choicesSeparator_pipe_shuffleChoices_False,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 4.4216 | {"n": 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-3.2-1B-Instruct", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.15.9"} | {'num_of_instances': 100, 'accuracy': 0.35, 'score': 0.35, 'score_name': 'accuracy', 'accuracy_ci_low': 0.2564220454653794, 'accuracy_ci_high': 0.45, 'score_ci_low': 0.2564220454653794, 'score_ci_high': 0.45} | 1 | a100_80gb |
62751b389c8aefaeca6abedd9ea0a49eab1a407d0f4be2dc8bcad5d454267179 | "2024-12-22T12:33:01.183000Z" | meta-llama/Llama-3.2-1B-Instruct | card=cards.mmlu.business_ethics,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MultipleChoiceTemplatesInstructionsWithoutTopic.enumerator_numbers_choicesSeparator_pipe_shuffleChoices_True,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 3.727499 | {"n": 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-3.2-1B-Instruct", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.15.9"} | {'num_of_instances': 100, 'accuracy': 0.26, 'score': 0.26, 'score_name': 'accuracy', 'accuracy_ci_low': 0.19, 'accuracy_ci_high': 0.35, 'score_ci_low': 0.19, 'score_ci_high': 0.35} | 1 | a100_80gb |
250490e1e7ef4674c6016d8a246f21dcf6709c8789c01376e9e5afab0008023e | "2024-12-22T12:33:05.674000Z" | meta-llama/Llama-3.2-1B-Instruct | card=cards.mmlu.business_ethics,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MultipleChoiceTemplatesInstructionsWithoutTopic.enumerator_numbers_choicesSeparator_OrCapital_shuffleChoices_False,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 3.060633 | {"n": 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-3.2-1B-Instruct", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.15.9"} | {'num_of_instances': 100, 'accuracy': 0.39, 'score': 0.39, 'score_name': 'accuracy', 'accuracy_ci_low': 0.3, 'accuracy_ci_high': 0.49, 'score_ci_low': 0.3, 'score_ci_high': 0.49} | 1 | a100_80gb |
6e31d66fe9fcb27526e4b8e336567eca636795cd9ceb3e5bdb04e599da6ab2cb | "2024-12-22T12:33:11.184000Z" | meta-llama/Llama-3.2-1B-Instruct | card=cards.mmlu.business_ethics,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MultipleChoiceTemplatesInstructionsWithoutTopic.enumerator_numbers_choicesSeparator_OrCapital_shuffleChoices_True,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 3.53916 | {"n": 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-3.2-1B-Instruct", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | VLLM | {"torch": "2.5.1", "transformers": "4.46.3", "evaluate": "0.4.0", "datasets": "2.21.0", "vllm": "0.6.4.post1", "unitxt": "1.15.9"} | {'num_of_instances': 100, 'accuracy': 0.32, 'score': 0.32, 'score_name': 'accuracy', 'accuracy_ci_low': 0.24, 'accuracy_ci_high': 0.42, 'score_ci_low': 0.24, 'score_ci_high': 0.42} | 1 | a100_80gb |