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EuroEval/results / CohereForAI_aya-23-35B /swerec__test__fewshot.json
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{"eval_library":{"additional_details":{"dataset":"swerec","few_shot":"true","languages":"[\"sv\"]","litellm_version":null,"raw_results":"[{\"mcc\": 0.7873283226154085, \"macro_f1\": 0.7796206532598878}, {\"mcc\": 0.7935489277220236, \"macro_f1\": 0.7869817732662195}, {\"mcc\": 0.7971066204904177, \"macro_f1\": 0.7689655737927666}, {\"mcc\": 0.7712640447576834, \"macro_f1\": 0.7607465969101025}, {\"mcc\": 0.7848358925056141, \"macro_f1\": 0.7930966571439497}, {\"mcc\": 0.803937940507179, \"macro_f1\": 0.8037330864970493}, {\"mcc\": 0.8060021966776854, \"macro_f1\": 0.769301060455955}, {\"mcc\": 0.781448290375713, \"macro_f1\": 0.7587982361893023}, {\"mcc\": 0.7987760308379248, \"macro_f1\": 0.7910316582313929}, {\"mcc\": 0.7904356361938262, \"macro_f1\": 0.7868919078050781}]","task":"sentiment-classification","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":"swerec/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":79.14683902683475,"uncertainty":{"confidence_interval":{"confidence_level":0.95,"lower":78.48472643676827,"method":"bootstrap","upper":79.80895161690124},"num_samples":10}},"source_data":{"dataset_name":"swerec","source_type":"hf_dataset"}},{"evaluation_name":"test_macro_f1","metric_config":{"lower_is_better":false,"max_score":100,"min_score":0,"score_type":"continuous"},"score_details":{"details":{"num_failed_instances":"0.0"},"score":77.99167203551704,"uncertainty":{"confidence_interval":{"confidence_level":0.95,"lower":77.06558924017547,"method":"bootstrap","upper":78.91775483085861},"num_samples":10}},"source_data":{"dataset_name":"swerec","source_type":"hf_dataset"}}],"evaluation_timestamp":"2026-06-18T07:09:17.006394+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"}}

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