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Updates the baseline evals with embedding 3 large, renames other folders for clarity #2533
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# Baseline Evaluation | ||
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This evaluation was done with the application using the following models: | ||
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* Chat completion: gpt-4o-mini | ||
* Embedding: text-embedding-3-large (with binary quantization, 1024 dimension reducation, and oversampling) | ||
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These are the default models and settings as of May 8, 2025. |
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{ | ||
"testdata_path": "ground_truth.jsonl", | ||
"results_dir": "results/gpt-4o-mini", | ||
"requested_metrics": ["gpt_groundedness", "gpt_relevance", "answer_length", "latency", "citations_matched", "any_citation"], | ||
"target_url": "http://localhost:50505/chat", | ||
"target_parameters": { | ||
"overrides": { | ||
"top": 3, | ||
"temperature": 0.3, | ||
"minimum_reranker_score": 0, | ||
"minimum_search_score": 0, | ||
"retrieval_mode": "hybrid", | ||
"semantic_ranker": true, | ||
"semantic_captions": false, | ||
"suggest_followup_questions": false, | ||
"use_oid_security_filter": false, | ||
"use_groups_security_filter": false, | ||
"vector_fields": [ | ||
"embedding" | ||
], | ||
"use_gpt4v": false, | ||
"gpt4v_input": "textAndImages", | ||
"seed": 1 | ||
} | ||
}, | ||
"target_response_answer_jmespath": "message.content", | ||
"target_response_context_jmespath": "context.data_points.text" | ||
} |
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{ | ||
"evaluation_gpt_model": "gpt-4o", | ||
"evaluation_timestamp": 1744920281, | ||
"testdata_path": "/Users/pamelafox/azure-search-openai-demo/evals/ground_truth.jsonl", | ||
"target_url": "http://localhost:50505/chat", | ||
"target_parameters": { | ||
"overrides": { | ||
"top": 3, | ||
"temperature": 0.3, | ||
"minimum_reranker_score": 0, | ||
"minimum_search_score": 0, | ||
"retrieval_mode": "hybrid", | ||
"semantic_ranker": true, | ||
"semantic_captions": false, | ||
"suggest_followup_questions": false, | ||
"use_oid_security_filter": false, | ||
"use_groups_security_filter": false, | ||
"vector_fields": [ | ||
"embedding" | ||
], | ||
"use_gpt4v": false, | ||
"gpt4v_input": "textAndImages", | ||
"seed": 1 | ||
} | ||
}, | ||
"num_questions": null | ||
} |
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{ | ||
"gpt_groundedness": { | ||
"pass_count": 44, | ||
"pass_rate": 0.88, | ||
"mean_rating": 4.62 | ||
}, | ||
"gpt_relevance": { | ||
"pass_count": 42, | ||
"pass_rate": 0.84, | ||
"mean_rating": 4.12 | ||
}, | ||
"answer_length": { | ||
"mean": 922.42, | ||
"max": 1616, | ||
"min": 193 | ||
}, | ||
"latency": { | ||
"mean": 3.14, | ||
"max": 7.583068, | ||
"min": 1.598833 | ||
}, | ||
"citations_matched": { | ||
"total": 25, | ||
"rate": 0.5 | ||
}, | ||
"any_citation": { | ||
"total": 50, | ||
"rate": 1.0 | ||
}, | ||
"num_questions": { | ||
"total": 50 | ||
} | ||
} |
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does this get replaced automatically?
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Oh yes when I ran this eval, I didnt bother changing the results_dir, so thats why we see it changed in the config back to the default configuration. I renamed the folder after the fact instead. I could pretend that I had specified a folder name, but this config.json does actually reflect how I run it, so its true.
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And yes, the evaluator replaces with current timestamp, so you dont accidentally override a past evaluation, if you forget to change the dir. I usually use that approach to be safe.