Buckets:

EuroEval/results / CohereForAI_aya-23-35B /hellaswag__test__fewshot.json
saattrupdan's picture
download
raw
2.7 kB
{"eval_library":{"additional_details":{"dataset":"hellaswag","few_shot":"true","languages":"[\"en\"]","litellm_version":null,"raw_results":"[{\"mcc\": 0.7883322607242887, \"accuracy\": 0.83740234375}, {\"mcc\": 0.8030672711902905, \"accuracy\": 0.84912109375}, {\"mcc\": 0.7725053162802955, \"accuracy\": 0.82373046875}, {\"mcc\": 0.8055707336109355, \"accuracy\": 0.85205078125}, {\"mcc\": 0.7977339345546554, \"accuracy\": 0.84521484375}, {\"mcc\": 0.7927913408129736, \"accuracy\": 0.8408203125}, {\"mcc\": 0.7894968460365526, \"accuracy\": 0.837890625}, {\"mcc\": 0.7438619589354639, \"accuracy\": 0.80224609375}, {\"mcc\": 0.7896765754896, \"accuracy\": 0.83984375}, {\"mcc\": 0.769958509685004, \"accuracy\": 0.82373046875}]","task":"common-sense-reasoning","torch_version":"2.7.0","transformers_version":"4.52.4","validation_split":"false","vllm_version":"0.9.1","xgrammar_version":"0.2.0"},"name":"euroeval","version":"15.10.0.dev0"},"evaluation_id":"hellaswag/CohereForAI/aya-23-35B/1781766557","evaluation_results":[{"evaluation_name":"test_mcc","metric_config":{"lower_is_better":false,"max_score":100,"min_score":0,"score_type":"continuous"},"score_details":{"details":{"num_failed_instances":"0.0"},"score":78.52994747320061,"uncertainty":{"confidence_interval":{"confidence_level":0.95,"lower":77.37973924592859,"method":"bootstrap","upper":79.68015570047262},"num_samples":10}},"source_data":{"dataset_name":"hellaswag","source_type":"hf_dataset"}},{"evaluation_name":"test_accuracy","metric_config":{"lower_is_better":false,"max_score":100,"min_score":0,"score_type":"continuous"},"score_details":{"details":{"num_failed_instances":"0.0"},"score":83.5205078125,"uncertainty":{"confidence_interval":{"confidence_level":0.95,"lower":82.59832489500857,"method":"bootstrap","upper":84.44269072999143},"num_samples":10}},"source_data":{"dataset_name":"hellaswag","source_type":"hf_dataset"}}],"evaluation_timestamp":"2026-06-18T07:09:17.004871+00:00","model_info":{"additional_details":{"commercially_licensed":false,"generative":"true","generative_type":"instruction_tuned","max_sequence_length":"8192","merge":"false","model_url":"https://hf.co/CohereForAI/aya-23-35B","num_model_parameters":"34980831232","open":true,"release_date":"2024-05-23","trained_from_scratch":false,"vocabulary_size":"256000"},"id":"CohereForAI/aya-23-35B","inference_engine":{"name":"vllm","version":"0.9.1"},"name":"CohereForAI/aya-23-35B"},"retrieved_timestamp":"1781766557","schema_version":"0.2.1","source_metadata":{"evaluator_relationship":"third_party","source_name":"EuroEval","source_organization_name":"EuroEval","source_organization_url":"https://euroeval.com","source_type":"evaluation_run"}}

Xet Storage Details

Size:
2.7 kB
·
Xet hash:
e05166080bf4feb4a4e8bb0731e4ebed15e760c97d991cf3b50324c598a6ec7e

Xet efficiently stores files, intelligently splitting them into unique chunks and accelerating uploads and downloads. More info.