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f9e7db8699ddd03c010e4986ae9530240888cc976ab22a47bc91f5659c377254 | "2024-12-22T20:04:00.314000Z" | meta-llama/Meta-Llama-3-8B-Instruct | card=cards.mmlu.moral_disputes,demos_pool_size=100,num_demos=5,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 | 8.160624 | {"n": 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': 0.71, 'score_ci_low': 0.51, 'score_ci_high': 0.71} | 1 | a100_80gb |
3d50a30a97d1fd5cbdaa1da228b5e32d10b8bee0e82686f9ee38d784dfa2de95 | "2024-12-22T20:04:09.539000Z" | meta-llama/Meta-Llama-3-8B-Instruct | card=cards.mmlu.moral_disputes,demos_pool_size=100,num_demos=5,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 | 7.924787 | {"n": 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': 0.67, 'score_ci_low': 0.49, 'score_ci_high': 0.67} | 1 | a100_80gb |
f152cd9e85521bf1a6713c33fe7e7bbd58647bb334890f4aba79bf74f87d1af2 | "2024-12-22T20:04:17.815000Z" | meta-llama/Meta-Llama-3-8B-Instruct | card=cards.mmlu.moral_disputes,demos_pool_size=100,num_demos=5,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 | 6.963796 | {"n": 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': 0.44, 'accuracy_ci_high': 0.64, 'score_ci_low': 0.44, 'score_ci_high': 0.64} | 1 | a100_80gb |
b6bffae62bea950db2bcb7ce2c90af82c1834318c7958529d09c2460ce722439 | "2024-12-22T20:04:26.402000Z" | meta-llama/Meta-Llama-3-8B-Instruct | card=cards.mmlu.moral_disputes,demos_pool_size=100,num_demos=5,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 | 7.195327 | {"n": 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': 0.56, 'score': 0.56, 'score_name': 'accuracy', 'accuracy_ci_low': 0.4665592907589815, 'accuracy_ci_high': 0.65, 'score_ci_low': 0.4665592907589815, 'score_ci_high': 0.65} | 1 | a100_80gb |
4f8ea359173df32569912266684b4a6445b61421dc0a2465a50a7dc252369cd2 | "2024-12-22T20:04:35.347000Z" | meta-llama/Meta-Llama-3-8B-Instruct | card=cards.mmlu.moral_disputes,demos_pool_size=100,num_demos=5,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 | 7.58557 | {"n": 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': 0.4521225193112265, 'accuracy_ci_high': 0.65, 'score_ci_low': 0.4521225193112265, 'score_ci_high': 0.65} | 1 | a100_80gb |
2d4236c31c94426db4835932780a284f622eda71b2059f5912ba176544d1774c | "2024-12-22T20:04:43.643000Z" | meta-llama/Meta-Llama-3-8B-Instruct | card=cards.mmlu.moral_disputes,demos_pool_size=100,num_demos=5,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 | 6.961962 | {"n": 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': 0.51, 'score': 0.51, 'score_name': 'accuracy', 'accuracy_ci_low': 0.42, 'accuracy_ci_high': 0.61, 'score_ci_low': 0.42, 'score_ci_high': 0.61} | 1 | a100_80gb |
e7fceabe382b01a929d35d30a7ed9bf78f3e4926583ac360f61c6ebab6bcc1e8 | "2024-12-22T20:02:28.649000Z" | meta-llama/Meta-Llama-3-8B-Instruct | card=cards.mmlu.college_computer_science,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MultipleChoiceTemplatesInstructionsWithTopicHelm.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 | 13.752969 | {"n": 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': 0.57, 'score': 0.57, 'score_name': 'accuracy', 'accuracy_ci_low': 0.47475314559841414, 'accuracy_ci_high': 0.66, 'score_ci_low': 0.47475314559841414, 'score_ci_high': 0.66} | 1 | a100_80gb |
2a718b4ffef9bac130e1697ffeefbeeacc1ca3b20998604688800089721ff3d7 | "2024-12-22T20:02:43.127000Z" | meta-llama/Meta-Llama-3-8B-Instruct | card=cards.mmlu.college_computer_science,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MultipleChoiceTemplatesInstructionsWithTopicHelm.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 | 12.76079 | {"n": 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': 0.48, '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 |
8312311ab007f2b0751240bbe9748e30e77e8bb897c21e2c30cbb731904bc8dd | "2024-12-22T20:02:56.726000Z" | meta-llama/Meta-Llama-3-8B-Instruct | card=cards.mmlu.college_computer_science,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MultipleChoiceTemplatesInstructionsWithTopicHelm.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 | 11.937653 | {"n": 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': 0.5, 'score': 0.5, '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 |
79a7ab19fbcd1b9554e3cb97eb72e3b2ec133769d43ab2542a21f9cd8dee646d | "2024-12-22T20:03:09.207000Z" | meta-llama/Meta-Llama-3-8B-Instruct | card=cards.mmlu.college_computer_science,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MultipleChoiceTemplatesInstructionsWithTopicHelm.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 | 10.797551 | {"n": 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': 0.45, '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 |
5b2a6997ab9d6fc6cada07bc5b3097efb770e22226d23bcfb0cb3bef992400db | "2024-12-22T20:03:20.750000Z" | meta-llama/Meta-Llama-3-8B-Instruct | card=cards.mmlu.college_computer_science,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MultipleChoiceTemplatesInstructionsWithTopicHelm.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 | 9.861475 | {"n": 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': 0.57, '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 |
5fbad19323be43bb08ff3fa19f4f2c678a3442c75c0ed5551c825d9add70bb5c | "2024-12-22T20:03:33.185000Z" | meta-llama/Meta-Llama-3-8B-Instruct | card=cards.mmlu.college_computer_science,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MultipleChoiceTemplatesInstructionsWithTopicHelm.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 | 10.739922 | {"n": 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': 0.47, 'score': 0.47, 'score_name': 'accuracy', 'accuracy_ci_low': 0.3693366892479934, 'accuracy_ci_high': 0.56, 'score_ci_low': 0.3693366892479934, 'score_ci_high': 0.56} | 1 | a100_80gb |
7075be1ab106cc8632aeb98334dcb3c15d4f5ff8e085d22274fefa7b4c411309 | "2024-12-22T20:03:44.788000Z" | meta-llama/Meta-Llama-3-8B-Instruct | card=cards.mmlu.college_computer_science,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MultipleChoiceTemplatesInstructionsWithTopicHelm.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 | 9.885393 | {"n": 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': 0.56, 'score': 0.56, 'score_name': 'accuracy', 'accuracy_ci_low': 0.46, 'accuracy_ci_high': 0.67, 'score_ci_low': 0.46, 'score_ci_high': 0.67} | 1 | a100_80gb |
0dcb94273ee51f94dc0a1bfdbae243433d3c7feb9343dccf225f18ebbfbda3ea | "2024-12-22T20:03:57.480000Z" | meta-llama/Meta-Llama-3-8B-Instruct | card=cards.mmlu.college_computer_science,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MultipleChoiceTemplatesInstructionsWithTopicHelm.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 | 10.991844 | {"n": 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': 0.5, 'score': 0.5, 'score_name': 'accuracy', 'accuracy_ci_low': 0.4, 'accuracy_ci_high': 0.6, 'score_ci_low': 0.4, 'score_ci_high': 0.6} | 1 | a100_80gb |
ea9fdaaa138c57a5c66a6f7a13dc42e905c783f4239866170f5a644bfcb6437e | "2024-12-22T20:04:10.174000Z" | meta-llama/Meta-Llama-3-8B-Instruct | card=cards.mmlu.college_computer_science,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MultipleChoiceTemplatesInstructionsWithTopicHelm.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 | 10.986981 | {"n": 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': 0.53, '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 |
8d3ff90dc08ad62efda728cbfc2ed59f81df7b5a3d061c5eb5d7ff961e4c4a81 | "2024-12-22T20:04:21.796000Z" | meta-llama/Meta-Llama-3-8B-Instruct | card=cards.mmlu.college_computer_science,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MultipleChoiceTemplatesInstructionsWithTopicHelm.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 | 9.917623 | {"n": 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': 0.48, '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 |
806bbf5dd35cbb0b997c4458bdc9c2ae8c4ecda704310be53db7ad6d601bc327 | "2024-12-22T20:03:16.785000Z" | mistralai/Mistral-7B-Instruct-v0.3 | card=cards.mmlu.moral_disputes,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MultipleChoiceTemplatesInstructionsWithoutTopicHelm.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 | 9.349254 | {"n": 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': 0.6, 'score': 0.6, 'score_name': 'accuracy', 'accuracy_ci_low': 0.5, 'accuracy_ci_high': 0.6908216470530442, 'score_ci_low': 0.5, 'score_ci_high': 0.6908216470530442} | 1 | a100_80gb |
1f7b8b17ba14c2c1832a11aa6a5c8305b1d0fb8c5696fac65f7afe4ce2355f66 | "2024-12-22T20:03:24.734000Z" | mistralai/Mistral-7B-Instruct-v0.3 | card=cards.mmlu.moral_disputes,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MultipleChoiceTemplatesInstructionsWithoutTopicHelm.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 | 6.580453 | {"n": 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': 0.7, 'score_ci_low': 0.51, 'score_ci_high': 0.7} | 1 | a100_80gb |
6db1183056731ead42d0233bb78f33d0f361260a37e599196451c6400f8af6df | "2024-12-22T20:03:36.371000Z" | mistralai/Mistral-7B-Instruct-v0.3 | card=cards.mmlu.moral_disputes,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MultipleChoiceTemplatesInstructionsWithoutTopicHelm.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 | 10.268451 | {"n": 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': 0.59, 'score': 0.59, 'score_name': 'accuracy', 'accuracy_ci_low': 0.49, 'accuracy_ci_high': 0.6877317922595841, 'score_ci_low': 0.49, 'score_ci_high': 0.6877317922595841} | 1 | a100_80gb |
3bd18d339f9a75355e5ba448328af70e50451bb271e6e848771096e2ae777aa7 | "2024-12-22T20:03:44.543000Z" | mistralai/Mistral-7B-Instruct-v0.3 | card=cards.mmlu.moral_disputes,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MultipleChoiceTemplatesInstructionsWithoutTopicHelm.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 | 6.728171 | {"n": 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': 0.76, 'score_ci_low': 0.57, 'score_ci_high': 0.76} | 1 | a100_80gb |
1fe8669bd8671cc04f6b042b8eb71f8354ea52769164b2213637b0e7c357361c | "2024-12-22T20:03:54.142000Z" | mistralai/Mistral-7B-Instruct-v0.3 | card=cards.mmlu.moral_disputes,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MultipleChoiceTemplatesInstructionsWithoutTopicHelm.enumerator_roman_choicesSeparator_pipe_shuffleChoices_True,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 8.209625 | {"n": 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': 0.51, 'accuracy_ci_high': 0.7, 'score_ci_low': 0.51, 'score_ci_high': 0.7} | 1 | a100_80gb |
5daa36fe102aa351aea6a427ebd54f0af8e31e53e7ed9b6e345d617cde62fe7f | "2024-12-22T20:04:02.906000Z" | mistralai/Mistral-7B-Instruct-v0.3 | card=cards.mmlu.moral_disputes,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MultipleChoiceTemplatesInstructionsWithoutTopicHelm.enumerator_roman_choicesSeparator_OrCapital_shuffleChoices_False,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 6.765262 | {"n": 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': 0.73, 'score_ci_low': 0.55, 'score_ci_high': 0.73} | 1 | a100_80gb |
b1949877f31424d44f7a4bd499bfe2378f8fa3b07f22833aec238fa86252d72b | "2024-12-22T20:04:11.133000Z" | mistralai/Mistral-7B-Instruct-v0.3 | card=cards.mmlu.moral_disputes,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MultipleChoiceTemplatesInstructionsWithoutTopicHelm.enumerator_roman_choicesSeparator_OrCapital_shuffleChoices_True,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 6.834814 | {"n": 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': 0.59, 'score': 0.59, 'score_name': 'accuracy', 'accuracy_ci_low': 0.49, 'accuracy_ci_high': 0.68, 'score_ci_low': 0.49, 'score_ci_high': 0.68} | 1 | a100_80gb |
d54c6750da7cbcf83e3ae685a2e46e6e78b3c0b6f581f6b5ce7c14800f7ca68e | "2024-12-22T20:04:19.947000Z" | mistralai/Mistral-7B-Instruct-v0.3 | card=cards.mmlu.moral_disputes,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MultipleChoiceTemplatesInstructionsWithoutTopicHelm.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 | 6.758447 | {"n": 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': 0.51, 'accuracy_ci_high': 0.71, 'score_ci_low': 0.51, 'score_ci_high': 0.71} | 1 | a100_80gb |
b7cae5ff762e1d65430717ab5a84d6681abd1264dae4bbbe63a9981bb12f65dd | "2024-12-22T20:04:28.182000Z" | mistralai/Mistral-7B-Instruct-v0.3 | card=cards.mmlu.moral_disputes,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MultipleChoiceTemplatesInstructionsWithoutTopicHelm.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 | 6.847261 | {"n": 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': 0.67, 'score_ci_low': 0.47, 'score_ci_high': 0.67} | 1 | a100_80gb |
b9dd3943f8f5f6025ac1c75daee28c4eb6cee418ced69a5c65e45351f642a0d6 | "2024-12-22T20:04:36.073000Z" | mistralai/Mistral-7B-Instruct-v0.3 | card=cards.mmlu.moral_disputes,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MultipleChoiceTemplatesInstructionsWithoutTopicHelm.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 | 6.540066 | {"n": 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': 0.65, 'score_ci_low': 0.46, 'score_ci_high': 0.65} | 1 | a100_80gb |
a110524069a23f708dc1a5029b5280880ccbd7fa7a36a71562fb91bb14149265 | "2024-12-22T20:03:45.134000Z" | meta-llama/Meta-Llama-3-8B-Instruct | card=cards.mmlu.high_school_geography,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.MultipleChoiceTemplatesInstructionsWithTopic.enumerator_capitals_choicesSeparator_newline_shuffleChoices_True,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 2.915006 | {"n": 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 |
f18b2acf532aaa416f75c1b0093f40d213a556fcb21902e1648b01d982b2bd63 | "2024-12-22T20:03:49.122000Z" | meta-llama/Meta-Llama-3-8B-Instruct | card=cards.mmlu.high_school_geography,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.MultipleChoiceTemplatesInstructionsWithTopic.enumerator_capitals_choicesSeparator_comma_shuffleChoices_False,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 3.246072 | {"n": 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': 0.76, 'score_ci_low': 0.57, 'score_ci_high': 0.76} | 1 | a100_80gb |
a786cc0d6a7caba46211723689152764c75685f9a1ce34a37e88fe601c06bbc6 | "2024-12-22T20:03:53.003000Z" | meta-llama/Meta-Llama-3-8B-Instruct | card=cards.mmlu.high_school_geography,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.MultipleChoiceTemplatesInstructionsWithTopic.enumerator_capitals_choicesSeparator_comma_shuffleChoices_True,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 3.195929 | {"n": 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 |
25e0efeab19c252ea08885dcd3224bc1d6660f77632cc34b899c90156a4855ef | "2024-12-22T20:03:56.029000Z" | meta-llama/Meta-Llama-3-8B-Instruct | card=cards.mmlu.high_school_geography,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.MultipleChoiceTemplatesInstructionsWithTopic.enumerator_capitals_choicesSeparator_semicolon_shuffleChoices_False,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 2.3434 | {"n": 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': 0.8, 'score_ci_low': 0.61, 'score_ci_high': 0.8} | 1 | a100_80gb |
637c8e9c90fbe9114e8713d19f6d4579ed0862a27f6b206609d4aee26668f69a | "2024-12-22T20:03:59.035000Z" | meta-llama/Meta-Llama-3-8B-Instruct | card=cards.mmlu.high_school_geography,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.MultipleChoiceTemplatesInstructionsWithTopic.enumerator_capitals_choicesSeparator_semicolon_shuffleChoices_True,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 2.330318 | {"n": 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': 0.67, 'accuracy_ci_high': 0.83, 'score_ci_low': 0.67, 'score_ci_high': 0.83} | 1 | a100_80gb |
db765e8270a579e21e448d125983282fbe44ea9333b68e698389c59db250a49e | "2024-12-22T20:04:02.142000Z" | meta-llama/Meta-Llama-3-8B-Instruct | card=cards.mmlu.high_school_geography,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.MultipleChoiceTemplatesInstructionsWithTopic.enumerator_capitals_choicesSeparator_pipe_shuffleChoices_False,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 2.404403 | {"n": 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': 0.59, 'accuracy_ci_high': 0.78, 'score_ci_low': 0.59, 'score_ci_high': 0.78} | 1 | a100_80gb |
4f71d40104704fd8aa097186076daa9db16a0c6b9b2c38f4311a458af76aa7c9 | "2024-12-22T20:04:07.202000Z" | meta-llama/Meta-Llama-3-8B-Instruct | card=cards.mmlu.high_school_geography,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.MultipleChoiceTemplatesInstructionsWithTopic.enumerator_capitals_choicesSeparator_pipe_shuffleChoices_True,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 4.359667 | {"n": 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 |
f0c5bfd7f4191bcec84018c14bfcce9c2f9a54f87d7611a46617b2c91aaf1c05 | "2024-12-22T20:04:11.516000Z" | meta-llama/Meta-Llama-3-8B-Instruct | card=cards.mmlu.high_school_geography,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.MultipleChoiceTemplatesInstructionsWithTopic.enumerator_capitals_choicesSeparator_OrCapital_shuffleChoices_False,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 3.624409 | {"n": 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': 0.61, 'accuracy_ci_high': 0.78, 'score_ci_low': 0.61, 'score_ci_high': 0.78} | 1 | a100_80gb |
7aab4f15e32306e107000f156f196aeae45129d349726abea55f9458bfec1f34 | "2024-12-22T20:04:14.559000Z" | meta-llama/Meta-Llama-3-8B-Instruct | card=cards.mmlu.high_school_geography,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.MultipleChoiceTemplatesInstructionsWithTopic.enumerator_capitals_choicesSeparator_OrCapital_shuffleChoices_True,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 2.359349 | {"n": 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': 0.66, 'score': 0.66, '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 |
d709789b1f00362ec5a87bcd7e866a2c5a1ed5e75a64f9c015edd3f0b35ed964 | "2024-12-22T20:04:17.611000Z" | meta-llama/Meta-Llama-3-8B-Instruct | card=cards.mmlu.high_school_geography,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.MultipleChoiceTemplatesInstructionsWithTopic.enumerator_capitals_choicesSeparator_orLower_shuffleChoices_False,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 2.359055 | {"n": 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': 0.63, 'accuracy_ci_high': 0.81, 'score_ci_low': 0.63, 'score_ci_high': 0.81} | 1 | a100_80gb |
b153b7f1d7793bc193b94f7817ef552bfe5fc84798514a64411188abf973c8b3 | "2024-12-22T20:03:32.525000Z" | meta-llama/Llama-3.2-3B-Instruct | card=cards.mmlu.high_school_macroeconomics,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MultipleChoiceTemplatesInstructionsWithoutTopicHelm.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 | 4.183957 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "meta-llama/Llama-3.2-3B-Instruct", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | 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': 0.52, 'score': 0.52, 'score_name': 'accuracy', 'accuracy_ci_low': 0.42, 'accuracy_ci_high': 0.62, 'score_ci_low': 0.42, 'score_ci_high': 0.62} | 1 | a100_80gb |
fbfd1dffd73571c826e2ac5e2a97c7072163e3c2026bb1ead29fd5accf62a8b0 | "2024-12-22T20:03:37.991000Z" | meta-llama/Llama-3.2-3B-Instruct | card=cards.mmlu.high_school_macroeconomics,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MultipleChoiceTemplatesInstructionsWithoutTopicHelm.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 | 4.313374 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "meta-llama/Llama-3.2-3B-Instruct", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | 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': 0.36, 'accuracy_ci_high': 0.56, 'score_ci_low': 0.36, 'score_ci_high': 0.56} | 1 | a100_80gb |
27fc7a8372f857a7fa1685d56f3f40ed655382ba1fe05f61c4477b188ed25cd9 | "2024-12-22T20:03:43.962000Z" | meta-llama/Llama-3.2-3B-Instruct | card=cards.mmlu.high_school_macroeconomics,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MultipleChoiceTemplatesInstructionsWithoutTopicHelm.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 | 4.78269 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "meta-llama/Llama-3.2-3B-Instruct", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | 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': 0.6213692186774596, 'score_ci_low': 0.43, 'score_ci_high': 0.6213692186774596} | 1 | a100_80gb |
b79a4bcf79e03b7a24661072f3eacccd28ecc13dfdca957fb57912d4b0b2c2ff | "2024-12-22T20:03:51.945000Z" | meta-llama/Llama-3.2-3B-Instruct | card=cards.mmlu.high_school_macroeconomics,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MultipleChoiceTemplatesInstructionsWithoutTopicHelm.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 | 5.485323 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "meta-llama/Llama-3.2-3B-Instruct", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | 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 |
c86b600c639ee44613677dc0c89031611f7f2ab32cac2e31e74ced7346b9cc70 | "2024-12-22T20:03:56.947000Z" | meta-llama/Llama-3.2-3B-Instruct | card=cards.mmlu.high_school_macroeconomics,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MultipleChoiceTemplatesInstructionsWithoutTopicHelm.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 | 3.85152 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "meta-llama/Llama-3.2-3B-Instruct", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | 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': 0.63, 'score_ci_low': 0.44, 'score_ci_high': 0.63} | 1 | a100_80gb |
850ce029571e8b8c4f613ba27854ae19c7dc32af59dacbf62ae7ec8237e2172f | "2024-12-22T20:04:01.899000Z" | meta-llama/Llama-3.2-3B-Instruct | card=cards.mmlu.high_school_macroeconomics,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MultipleChoiceTemplatesInstructionsWithoutTopicHelm.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 | 3.783661 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "meta-llama/Llama-3.2-3B-Instruct", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | 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': 0.34, 'accuracy_ci_high': 0.53, 'score_ci_low': 0.34, 'score_ci_high': 0.53} | 1 | a100_80gb |
81a417d37f3d189e37eac6889c38c7dab479bcd307f73a191764a688835b68e9 | "2024-12-22T20:04:08.263000Z" | meta-llama/Llama-3.2-3B-Instruct | card=cards.mmlu.high_school_macroeconomics,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MultipleChoiceTemplatesInstructionsWithoutTopicHelm.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 | 5.21072 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "meta-llama/Llama-3.2-3B-Instruct", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | 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': 0.42, 'accuracy_ci_high': 0.62, 'score_ci_low': 0.42, 'score_ci_high': 0.62} | 1 | a100_80gb |
73e64d1b9660dd05cf68691a4fe3ee7f5ffa8e840431a3e6b75d3e5c3063ff1c | "2024-12-22T20:04:13.736000Z" | meta-llama/Llama-3.2-3B-Instruct | card=cards.mmlu.high_school_macroeconomics,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MultipleChoiceTemplatesInstructionsWithoutTopicHelm.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 | 4.332586 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "meta-llama/Llama-3.2-3B-Instruct", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | 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 |
54612f9e93cc975465ad37e2a70e21226faf3b5c6fa99790617b98ee07416e73 | "2024-12-22T20:04:18.705000Z" | meta-llama/Llama-3.2-3B-Instruct | card=cards.mmlu.high_school_macroeconomics,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MultipleChoiceTemplatesInstructionsWithoutTopicHelm.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 | 3.787754 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "meta-llama/Llama-3.2-3B-Instruct", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | 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': 0.6510968727614284, 'score_ci_low': 0.45, 'score_ci_high': 0.6510968727614284} | 1 | a100_80gb |
af6a53c7aa31a6cb16f453799e2746baf42b395d83795b4b2deccbaed6d71120 | "2024-12-22T20:04:24.328000Z" | meta-llama/Llama-3.2-3B-Instruct | card=cards.mmlu.high_school_macroeconomics,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MultipleChoiceTemplatesInstructionsWithoutTopicHelm.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 | 4.449775 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "meta-llama/Llama-3.2-3B-Instruct", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | 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': 0.57, 'score_ci_low': 0.38, 'score_ci_high': 0.57} | 1 | a100_80gb |
03249410c686cafea1ff79484a972830d04ea237584f54a35de6f0b88af7ece4 | "2024-12-22T20:02:32.050000Z" | allenai/OLMoE-1B-7B-0924-Instruct | card=cards.mmlu.high_school_world_history,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MultipleChoiceTemplatesInstructionsWithTopicHelm.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 | 9.99594 | {"n": 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': 0.51, 'accuracy_ci_high': 0.7, 'score_ci_low': 0.51, 'score_ci_high': 0.7} | 1 | a100_80gb |
e4dc01f218c72b4a2e68eb1636cecc02c95d0741b629d7f0c185332f3c446391 | "2024-12-22T20:02:47.588000Z" | allenai/OLMoE-1B-7B-0924-Instruct | card=cards.mmlu.high_school_world_history,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MultipleChoiceTemplatesInstructionsWithTopicHelm.enumerator_capitals_choicesSeparator_newline_shuffleChoices_False,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 11.454712 | {"n": 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': 0.72, '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 |
8a5dd4fb40308037936207427da5d75c9b0262ac7ab968fa4a03af6e72ba41a4 | "2024-12-22T20:02:58.106000Z" | allenai/OLMoE-1B-7B-0924-Instruct | card=cards.mmlu.high_school_world_history,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MultipleChoiceTemplatesInstructionsWithTopicHelm.enumerator_capitals_choicesSeparator_newline_shuffleChoices_True,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 7.657995 | {"n": 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': 0.71, '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 |
008ebfb0ab4e44e8c0ce14c9fc848029b4c0d987dd6b4872c415554a931ecab7 | "2024-12-22T20:03:11.122000Z" | allenai/OLMoE-1B-7B-0924-Instruct | card=cards.mmlu.high_school_world_history,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MultipleChoiceTemplatesInstructionsWithTopicHelm.enumerator_capitals_choicesSeparator_comma_shuffleChoices_False,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 10.1766 | {"n": 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': 0.72, '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 |
263cd38552341f417bce577a21a1b4d93cbd63995ea5eb7e7b90177010d6d0f6 | "2024-12-22T20:03:22.509000Z" | allenai/OLMoE-1B-7B-0924-Instruct | card=cards.mmlu.high_school_world_history,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MultipleChoiceTemplatesInstructionsWithTopicHelm.enumerator_capitals_choicesSeparator_comma_shuffleChoices_True,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 7.670111 | {"n": 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': 0.7, 'score': 0.7, 'score_name': 'accuracy', 'accuracy_ci_low': 0.61, 'accuracy_ci_high': 0.78, 'score_ci_low': 0.61, 'score_ci_high': 0.78} | 1 | a100_80gb |
5387431a608216be7892e7dfcb5a60fe9873f473f2419e6ac2e660cc6acccb56 | "2024-12-22T20:03:33.818000Z" | allenai/OLMoE-1B-7B-0924-Instruct | card=cards.mmlu.high_school_world_history,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MultipleChoiceTemplatesInstructionsWithTopicHelm.enumerator_capitals_choicesSeparator_semicolon_shuffleChoices_False,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 7.551315 | {"n": 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': 0.73, 'score': 0.73, '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 |
a1fec3a5f41797af3195b1e38d6e5a9fdd764b47912981eb161ff5ab2ea5a8df | "2024-12-22T20:03:45.129000Z" | allenai/OLMoE-1B-7B-0924-Instruct | card=cards.mmlu.high_school_world_history,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MultipleChoiceTemplatesInstructionsWithTopicHelm.enumerator_capitals_choicesSeparator_semicolon_shuffleChoices_True,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 7.624707 | {"n": 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': 0.68, 'score': 0.68, '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 |
941e817fc9dffb0bbe33a74a24b95c6a17cd6717f73858c38455b89a79719841 | "2024-12-22T20:03:56.306000Z" | allenai/OLMoE-1B-7B-0924-Instruct | card=cards.mmlu.high_school_world_history,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MultipleChoiceTemplatesInstructionsWithTopicHelm.enumerator_capitals_choicesSeparator_pipe_shuffleChoices_False,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 7.358121 | {"n": 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': 0.71, 'score': 0.71, '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 |
a1f39052d51f251ebb2a9c98d4605a19a7648bf3b1a31cd8a759c74b15e451b5 | "2024-12-22T20:04:06.453000Z" | allenai/OLMoE-1B-7B-0924-Instruct | card=cards.mmlu.high_school_world_history,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MultipleChoiceTemplatesInstructionsWithTopicHelm.enumerator_capitals_choicesSeparator_pipe_shuffleChoices_True,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 7.364936 | {"n": 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': 0.7, 'score': 0.7, '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 |
b5133bdca83985fee6ea36db8f08c3fb63bf70e83a9da6312dc5922a2c567bb6 | "2024-12-22T20:04:17.497000Z" | allenai/OLMoE-1B-7B-0924-Instruct | card=cards.mmlu.high_school_world_history,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MultipleChoiceTemplatesInstructionsWithTopicHelm.enumerator_capitals_choicesSeparator_OrCapital_shuffleChoices_False,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 8.20117 | {"n": 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': 0.71, 'score': 0.71, 'score_name': 'accuracy', 'accuracy_ci_low': 0.6122499095810682, 'accuracy_ci_high': 0.79, 'score_ci_low': 0.6122499095810682, 'score_ci_high': 0.79} | 1 | a100_80gb |
f186784fabda41ac2eae783adcd31974058cc9299d9d8085e1c48f83e68b3552 | "2024-12-22T20:02:57.852000Z" | mistralai/Mistral-7B-Instruct-v0.3 | card=cards.mmlu.high_school_geography,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MultipleChoiceTemplatesInstructionsWithTopicHelm.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 | 8.243951 | {"n": 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': 0.73, '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 |
5adf05d4a5a5edc78f433af837edb965b6c34a08381cd142712bae60d7ab2df3 | "2024-12-22T20:03:04.457000Z" | mistralai/Mistral-7B-Instruct-v0.3 | card=cards.mmlu.high_school_geography,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MultipleChoiceTemplatesInstructionsWithTopicHelm.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 | 5.501329 | {"n": 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': 0.6, 'accuracy_ci_high': 0.77, 'score_ci_low': 0.6, 'score_ci_high': 0.77} | 1 | a100_80gb |
d946cb1515d6b9b366072d1d9b475ea513e1243c5be15bc95025508a7917b0a2 | "2024-12-22T20:03:12.568000Z" | mistralai/Mistral-7B-Instruct-v0.3 | card=cards.mmlu.high_school_geography,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MultipleChoiceTemplatesInstructionsWithTopicHelm.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 | 6.327091 | {"n": 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': 0.75, 'score': 0.75, 'score_name': 'accuracy', 'accuracy_ci_low': 0.66, 'accuracy_ci_high': 0.82, 'score_ci_low': 0.66, 'score_ci_high': 0.82} | 1 | a100_80gb |
020734e1e5ea0926838d4e3e9e8a7a3fbbab535bf3be6b51b0098e809cde080e | "2024-12-22T20:03:21.490000Z" | mistralai/Mistral-7B-Instruct-v0.3 | card=cards.mmlu.high_school_geography,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MultipleChoiceTemplatesInstructionsWithTopicHelm.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 | 7.816137 | {"n": 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': 0.7, '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 |
6c874c0cd048944636fcc10a83acb2e0f7f4dd6179c7aa321e52ded66b6993c1 | "2024-12-22T20:03:28.259000Z" | mistralai/Mistral-7B-Instruct-v0.3 | card=cards.mmlu.high_school_geography,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MultipleChoiceTemplatesInstructionsWithTopicHelm.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 | 5.577148 | {"n": 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': 0.75, '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 |
9be52df434e1a5ab6d7cc60ebec513644733ad3b96ca64e84f541c3c436acf3a | "2024-12-22T20:03:36.555000Z" | mistralai/Mistral-7B-Instruct-v0.3 | card=cards.mmlu.high_school_geography,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MultipleChoiceTemplatesInstructionsWithTopicHelm.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 | 7.170494 | {"n": 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': 0.5863047493112463, 'accuracy_ci_high': 0.77, 'score_ci_low': 0.5863047493112463, 'score_ci_high': 0.77} | 1 | a100_80gb |
98dea5d2c50c11d38231c0f1f0d4c2ad59e147d10d65095c7c39d5a67614b91b | "2024-12-22T20:03:43.290000Z" | mistralai/Mistral-7B-Instruct-v0.3 | card=cards.mmlu.high_school_geography,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MultipleChoiceTemplatesInstructionsWithTopicHelm.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 | 5.621926 | {"n": 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': 0.74, '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 |
4ede799842456188ba69d67ad6b533b990e53d217ceeddda18930279c9449393 | "2024-12-22T20:03:50.658000Z" | mistralai/Mistral-7B-Instruct-v0.3 | card=cards.mmlu.high_school_geography,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MultipleChoiceTemplatesInstructionsWithTopicHelm.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 | 5.644809 | {"n": 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 |
fa6ea009797ae783c2babd391ed79e70c051a4011e76e8e27d6344bc8d2f9211 | "2024-12-22T20:03:57.443000Z" | mistralai/Mistral-7B-Instruct-v0.3 | card=cards.mmlu.high_school_geography,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MultipleChoiceTemplatesInstructionsWithTopicHelm.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 | 5.653296 | {"n": 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': 0.73, '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 |
e374f2defae1bf0bf4710df55c0e6c5df5c0630692e5b10b357a823078b92b82 | "2024-12-22T20:04:04.356000Z" | mistralai/Mistral-7B-Instruct-v0.3 | card=cards.mmlu.high_school_geography,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MultipleChoiceTemplatesInstructionsWithTopicHelm.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 | 5.764419 | {"n": 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': 0.66, 'score': 0.66, 'score_name': 'accuracy', 'accuracy_ci_low': 0.56, 'accuracy_ci_high': 0.75, 'score_ci_low': 0.56, 'score_ci_high': 0.75} | 1 | a100_80gb |
d4a77b8d6d4b1fb11334ad75a2b5a2381bd6a8785c2c0e71efb434d09cbc9cd5 | "2024-12-22T20:00:33.849000Z" | meta-llama/Meta-Llama-3-8B-Instruct | card=cards.mmlu.high_school_european_history,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MultipleChoiceTemplatesInstructionsWithoutTopicHelm.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 | 31.00589 | {"n": 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': 0.63, 'accuracy_ci_high': 0.81, 'score_ci_low': 0.63, 'score_ci_high': 0.81} | 1 | a100_80gb |
184c66af253512c375201c546751f1c2e9dbf0ef79dd5cb46ea6e3a527200e5f | "2024-12-22T20:01:09.041000Z" | meta-llama/Meta-Llama-3-8B-Instruct | card=cards.mmlu.high_school_european_history,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MultipleChoiceTemplatesInstructionsWithoutTopicHelm.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 | 30.02003 | {"n": 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 |
ebe03022c1b9fce2a820b2b9413dc1ffb572442269d3d340845a2b2d50018060 | "2024-12-22T20:01:43.732000Z" | meta-llama/Meta-Llama-3-8B-Instruct | card=cards.mmlu.high_school_european_history,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MultipleChoiceTemplatesInstructionsWithoutTopicHelm.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 | 30.228547 | {"n": 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': 0.79, 'score_ci_low': 0.6, 'score_ci_high': 0.79} | 1 | a100_80gb |
cb023b5389f6f6a9df6e61c4c4a7daa7996582d406f68f5d8136fcb20778d82d | "2024-12-22T20:02:19.334000Z" | meta-llama/Meta-Llama-3-8B-Instruct | card=cards.mmlu.high_school_european_history,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MultipleChoiceTemplatesInstructionsWithoutTopicHelm.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 | 31.144426 | {"n": 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': 0.63, 'accuracy_ci_high': 0.81, 'score_ci_low': 0.63, 'score_ci_high': 0.81} | 1 | a100_80gb |
9b914b9c6bf8ab066656f86b4cdae7acec5e1dd72177eb85fbddffc2749428bd | "2024-12-22T20:02:54.774000Z" | meta-llama/Meta-Llama-3-8B-Instruct | card=cards.mmlu.high_school_european_history,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MultipleChoiceTemplatesInstructionsWithoutTopicHelm.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 | 30.12662 | {"n": 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': 0.59, 'accuracy_ci_high': 0.78, 'score_ci_low': 0.59, 'score_ci_high': 0.78} | 1 | a100_80gb |
cc8a85c6e701bdc4cd177369f1f2c469e09be3bbac9e5c0760deaa85cd3c0f02 | "2024-12-22T20:03:29.877000Z" | meta-llama/Meta-Llama-3-8B-Instruct | card=cards.mmlu.high_school_european_history,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MultipleChoiceTemplatesInstructionsWithoutTopicHelm.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 | 30.255144 | {"n": 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': 0.6061853320038664, 'accuracy_ci_high': 0.7822588366492358, 'score_ci_low': 0.6061853320038664, 'score_ci_high': 0.7822588366492358} | 1 | a100_80gb |
707ddc6133eaf39dfad5cf8e1ae8ee59d7645fe62c8b5987a80f81a54832b9a3 | "2024-12-22T20:03:34.745000Z" | meta-llama/Meta-Llama-3-8B-Instruct | card=cards.mmlu.high_school_geography,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.MultipleChoiceTemplatesInstructionsWithTopic.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 | 4.189183 | {"n": 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 |
9ee9c92f5dce7537f9dee8284fa05311fa0b36226e2d2a4d16935e1819391272 | "2024-12-22T20:03:37.804000Z" | meta-llama/Meta-Llama-3-8B-Instruct | card=cards.mmlu.high_school_geography,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.MultipleChoiceTemplatesInstructionsWithTopic.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 | 2.383264 | {"n": 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 |
1e406403bf2bffbcfa9e817cd2c68cc4c19e7b75ffbec1b31ac6f6583c9cba58 | "2024-12-22T20:03:40.859000Z" | meta-llama/Meta-Llama-3-8B-Instruct | card=cards.mmlu.high_school_geography,demos_pool_size=100,num_demos=0,format=formats.chat_api,template=templates.huji_workshop.MultipleChoiceTemplatesInstructionsWithTopic.enumerator_capitals_choicesSeparator_newline_shuffleChoices_False,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 2.369779 | {"n": 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 |
fb106c2f25a84e75f40067a252b9a8f5593b3de8582abe46e6b9ab31889e6ceb | "2024-12-22T20:02:33.587000Z" | meta-llama/Llama-3.2-3B-Instruct | card=cards.mmlu.high_school_macroeconomics,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MultipleChoiceTemplatesInstructionsWithoutTopicHelm.enumerator_roman_choicesSeparator_OrCapital_shuffleChoices_False,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 3.919297 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "meta-llama/Llama-3.2-3B-Instruct", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | 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': 0.38, 'accuracy_ci_high': 0.59, 'score_ci_low': 0.38, 'score_ci_high': 0.59} | 1 | a100_80gb |
ab7e08591fdaf8929b9cf41cfad737d58658e209df25954a8b716f5781f9ff96 | "2024-12-22T20:02:41.271000Z" | meta-llama/Llama-3.2-3B-Instruct | card=cards.mmlu.high_school_macroeconomics,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MultipleChoiceTemplatesInstructionsWithoutTopicHelm.enumerator_roman_choicesSeparator_OrCapital_shuffleChoices_True,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 6.487658 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "meta-llama/Llama-3.2-3B-Instruct", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | 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': 0.5, 'score': 0.5, 'score_name': 'accuracy', 'accuracy_ci_low': 0.4, 'accuracy_ci_high': 0.6, 'score_ci_low': 0.4, 'score_ci_high': 0.6} | 1 | a100_80gb |
b76dd567fdb9512c6964dfbab527fd68e0eefc9d1c26ba8396374f4bdaed94a5 | "2024-12-22T20:02:46.352000Z" | meta-llama/Llama-3.2-3B-Instruct | card=cards.mmlu.high_school_macroeconomics,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MultipleChoiceTemplatesInstructionsWithoutTopicHelm.enumerator_roman_choicesSeparator_orLower_shuffleChoices_False,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 3.875929 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "meta-llama/Llama-3.2-3B-Instruct", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | 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': 0.57, 'score_ci_low': 0.38, 'score_ci_high': 0.57} | 1 | a100_80gb |
06f6b4a1c79e793a6cf29180b5c9fbb86cfe86563b4cfe20199063eaae2d75e5 | "2024-12-22T20:02:51.412000Z" | meta-llama/Llama-3.2-3B-Instruct | card=cards.mmlu.high_school_macroeconomics,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MultipleChoiceTemplatesInstructionsWithoutTopicHelm.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 | 3.866576 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "meta-llama/Llama-3.2-3B-Instruct", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | 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 |
5b6211a9ffe922dcc8b1dd1cca48ddc0d2fb534e310fe34616d6251ad7b8298b | "2024-12-22T20:02:57.626000Z" | meta-llama/Llama-3.2-3B-Instruct | card=cards.mmlu.high_school_macroeconomics,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MultipleChoiceTemplatesInstructionsWithoutTopicHelm.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 | 5.047966 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "meta-llama/Llama-3.2-3B-Instruct", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | 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': 0.52, 'score': 0.52, 'score_name': 'accuracy', 'accuracy_ci_low': 0.42, 'accuracy_ci_high': 0.61, 'score_ci_low': 0.42, 'score_ci_high': 0.61} | 1 | a100_80gb |
fb23fcfdb227a75fa69c5173a56124a7c6842d66666afbdba45721ff1221c872 | "2024-12-22T20:03:04.883000Z" | meta-llama/Llama-3.2-3B-Instruct | card=cards.mmlu.high_school_macroeconomics,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MultipleChoiceTemplatesInstructionsWithoutTopicHelm.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 | 6.10303 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "meta-llama/Llama-3.2-3B-Instruct", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | 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': 0.36, 'accuracy_ci_high': 0.55, 'score_ci_low': 0.36, 'score_ci_high': 0.55} | 1 | a100_80gb |
5f5c33e9b0a69cc37831dd88aebecb8b26bc52b8df36f44a408bb1089aa791c2 | "2024-12-22T20:03:09.757000Z" | meta-llama/Llama-3.2-3B-Instruct | card=cards.mmlu.high_school_macroeconomics,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MultipleChoiceTemplatesInstructionsWithoutTopicHelm.enumerator_keyboard_choicesSeparator_newline_shuffleChoices_False,system_prompt=system_prompts.empty,demos_taken_from=train,demos_removed_from_data=True,max_test_instances=100 | None | half | 3.705621 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "meta-llama/Llama-3.2-3B-Instruct", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | 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': 0.5, 'score': 0.5, 'score_name': 'accuracy', 'accuracy_ci_low': 0.4, 'accuracy_ci_high': 0.59, 'score_ci_low': 0.4, 'score_ci_high': 0.59} | 1 | a100_80gb |
24832b2fb18d22aa1fd3c6751f1bcdbc494e322f580cf01615222e474344ccba | "2024-12-22T20:03:14.710000Z" | meta-llama/Llama-3.2-3B-Instruct | card=cards.mmlu.high_school_macroeconomics,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MultipleChoiceTemplatesInstructionsWithoutTopicHelm.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 | 3.764518 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "meta-llama/Llama-3.2-3B-Instruct", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | 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': 0.47, 'score': 0.47, 'score_name': 'accuracy', 'accuracy_ci_low': 0.37981775399094003, 'accuracy_ci_high': 0.57, 'score_ci_low': 0.37981775399094003, 'score_ci_high': 0.57} | 1 | a100_80gb |
dfe2d2bfcaa1f4e95cee9ea6fce76975924cab7dbddebc2339b6bb3df88a2285 | "2024-12-22T20:03:20.904000Z" | meta-llama/Llama-3.2-3B-Instruct | card=cards.mmlu.high_school_macroeconomics,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MultipleChoiceTemplatesInstructionsWithoutTopicHelm.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 | 5.034328 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "meta-llama/Llama-3.2-3B-Instruct", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | 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': 0.51, 'score': 0.51, 'score_name': 'accuracy', 'accuracy_ci_low': 0.41, 'accuracy_ci_high': 0.6, 'score_ci_low': 0.41, 'score_ci_high': 0.6} | 1 | a100_80gb |
3c938c4e0c4e5b67ececf5330c17e70d2a375773b774d3eb1f22630e97785346 | "2024-12-22T20:03:26.377000Z" | meta-llama/Llama-3.2-3B-Instruct | card=cards.mmlu.high_school_macroeconomics,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MultipleChoiceTemplatesInstructionsWithoutTopicHelm.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 | 3.687035 | {"n": 1, "skip_special_tokens": false, "max_tokens": 64, "seed": 42, "top_p": null, "top_k": -1, "temperature": null, "logprobs": 5, "prompt_logprobs": 1} | {"model": "meta-llama/Llama-3.2-3B-Instruct", "seed": 0, "device": "auto", "max_num_batched_tokens": 4096, "gpu_memory_utilization": 0.7, "max_model_len": 4096, "tensor_parallel_size": 1} | 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 |
47196dfea578310ca4c85eacfdeb4a3bd1cab9d3a47c87f204823237d9685fdc | "2024-12-22T20:02:04.329000Z" | allenai/OLMoE-1B-7B-0924-Instruct | card=cards.mmlu.professional_medicine,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 | 8.297384 | {"n": 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': 0.47, 'score': 0.47, 'score_name': 'accuracy', 'accuracy_ci_low': 0.38, 'accuracy_ci_high': 0.56, 'score_ci_low': 0.38, 'score_ci_high': 0.56} | 1 | a100_80gb |
75975aedd0a760aba9f918759843ea8b5fe60e77485eb80f2f7eb9da5a8fdcef | "2024-12-22T20:02:13.850000Z" | allenai/OLMoE-1B-7B-0924-Instruct | card=cards.mmlu.professional_medicine,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 | 7.133557 | {"n": 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': 0.32, 'accuracy_ci_high': 0.51, 'score_ci_low': 0.32, 'score_ci_high': 0.51} | 1 | a100_80gb |
ea2ed7a65ee798301a9eca8d7d0b5acb5a5e3942fb8d0266857af82e754e877f | "2024-12-22T20:02:25.374000Z" | allenai/OLMoE-1B-7B-0924-Instruct | card=cards.mmlu.professional_medicine,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 | 9.46558 | {"n": 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 |
c22b2e7b085f9372a17ef2cc968dec5b600fe958ccf5c688d758379a4f04da83 | "2024-12-22T20:02:32.924000Z" | allenai/OLMoE-1B-7B-0924-Instruct | card=cards.mmlu.professional_medicine,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 | 5.427692 | {"n": 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': 0.47, 'score': 0.47, '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 |
08fc27b31c74a257403706b3d8eebbda845f7e10bd68c6779140682f44d7c773 | "2024-12-22T20:02:42.543000Z" | allenai/OLMoE-1B-7B-0924-Instruct | card=cards.mmlu.professional_medicine,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 | 7.560428 | {"n": 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': 0.5, 'score': 0.5, 'score_name': 'accuracy', 'accuracy_ci_low': 0.400172543031032, 'accuracy_ci_high': 0.6, 'score_ci_low': 0.400172543031032, 'score_ci_high': 0.6} | 1 | a100_80gb |
0762ddc31de5ed391ad38771547783eab1d1cf061dbcdc3b565a85acb2072f4a | "2024-12-22T20:02:50.070000Z" | allenai/OLMoE-1B-7B-0924-Instruct | card=cards.mmlu.professional_medicine,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 | 5.473553 | {"n": 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': 0.36, 'accuracy_ci_high': 0.5616534102221169, 'score_ci_low': 0.36, 'score_ci_high': 0.5616534102221169} | 1 | a100_80gb |
d9d56fd32965011711f9c0b2347c8d7e96b72405630d6163c248aca1d036841f | "2024-12-22T20:02:58.733000Z" | allenai/OLMoE-1B-7B-0924-Instruct | card=cards.mmlu.professional_medicine,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 | 6.584232 | {"n": 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': 0.32, 'accuracy_ci_high': 0.5, 'score_ci_low': 0.32, 'score_ci_high': 0.5} | 1 | a100_80gb |
1e1c3d04c6112eac710ffa2370df21771199b3f0a552acb8f5f57ee1174cb17e | "2024-12-22T20:03:07.348000Z" | allenai/OLMoE-1B-7B-0924-Instruct | card=cards.mmlu.professional_medicine,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 | 5.569505 | {"n": 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': 0.51, 'score': 0.51, 'score_name': 'accuracy', 'accuracy_ci_low': 0.41, 'accuracy_ci_high': 0.61, 'score_ci_low': 0.41, 'score_ci_high': 0.61} | 1 | a100_80gb |
e2091166eb8d836dc8ab4922ba6da8e36318d3d15aa7febda48bfc8674df6368 | "2024-12-22T20:03:14.992000Z" | allenai/OLMoE-1B-7B-0924-Instruct | card=cards.mmlu.professional_medicine,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 | 5.557297 | {"n": 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': 0.52, 'score': 0.52, 'score_name': 'accuracy', 'accuracy_ci_low': 0.42, 'accuracy_ci_high': 0.62, 'score_ci_low': 0.42, 'score_ci_high': 0.62} | 1 | a100_80gb |
d7d23308c2658661802e33e865d16fe22f1d3ef9e7995068cb5bdac59eae2f6d | "2024-12-22T20:03:23.718000Z" | allenai/OLMoE-1B-7B-0924-Instruct | card=cards.mmlu.professional_medicine,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 | 6.641837 | {"n": 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': 0.59, 'score_ci_low': 0.39, 'score_ci_high': 0.59} | 1 | a100_80gb |
6a3803792abae6cd52210fb11e4a38e5113fbcec2b8cccb305c84f1042698f19 | "2024-12-22T20:01:47.413000Z" | meta-llama/Meta-Llama-3-8B-Instruct | card=cards.mmlu.moral_disputes,demos_pool_size=100,num_demos=5,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 | 9.712016 | {"n": 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': 0.57, 'score': 0.57, 'score_name': 'accuracy', 'accuracy_ci_low': 0.46, 'accuracy_ci_high': 0.66, 'score_ci_low': 0.46, 'score_ci_high': 0.66} | 1 | a100_80gb |
6564fbda63fedfb1400278f3d5b737b5f1e9c8df39163412df000f1f53217e45 | "2024-12-22T20:01:55.824000Z" | meta-llama/Meta-Llama-3-8B-Instruct | card=cards.mmlu.moral_disputes,demos_pool_size=100,num_demos=5,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 | 6.990763 | {"n": 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': 0.5405395836138225, 'accuracy_ci_high': 0.73, 'score_ci_low': 0.5405395836138225, 'score_ci_high': 0.73} | 1 | a100_80gb |
265ae3db1c9c08019ad6f653ff98ce7d34a68feed773d3893aaa9132139970ab | "2024-12-22T20:02:07.013000Z" | meta-llama/Meta-Llama-3-8B-Instruct | card=cards.mmlu.moral_disputes,demos_pool_size=100,num_demos=5,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 | 9.813726 | {"n": 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': 0.62, '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 |
6af39bc7e6000e9b642f00503515e8d0d7fae66a0e07a585b22274a09e0d40be | "2024-12-22T20:02:16.617000Z" | meta-llama/Meta-Llama-3-8B-Instruct | card=cards.mmlu.moral_disputes,demos_pool_size=100,num_demos=5,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 | 8.264774 | {"n": 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': 0.54, 'accuracy_ci_high': 0.73, 'score_ci_low': 0.54, 'score_ci_high': 0.73} | 1 | a100_80gb |
a20c9f30d37481cee0be73df4908258c9b50a1d1ac47c09bb8aa6d3677739f76 | "2024-12-22T20:02:25.168000Z" | meta-llama/Meta-Llama-3-8B-Instruct | card=cards.mmlu.moral_disputes,demos_pool_size=100,num_demos=5,format=formats.chat_api,template=templates.huji_workshop.MultipleChoiceTemplatesInstructionsWithTopic.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 | 7.115928 | {"n": 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': 0.69, 'score_ci_low': 0.5, 'score_ci_high': 0.69} | 1 | a100_80gb |