cmax / runs /semanticchunker_default.json
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Implement initial project structure and setup
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{
"metrics": {
"recall": {
"1": 0.13626907073509015,
"3": 0.22711511789181693,
"5": 0.2708044382801664,
"10": 0.3273231622746186
}
},
"metadata": {
"chunker_type": "SemanticChunker",
"chunker_config": "SemanticChunker(model=Model2VecEmbeddings(model=minishlab/potion-base-8M), chunk_size=512, mode=window, threshold=auto, similarity_window=1, min_sentences=1, min_chunk_size=2, return_type=chunks)",
"embedding_model": "Model2VecEmbeddings(model=minishlab/potion-base-8M)",
"embedding_model_name": "<model2vec.model.StaticModel object at 0x10e3c5040>",
"dataset": "gacha",
"num_books": 100,
"total_questions": 2884,
"total_correct": {
"1": 393,
"3": 655,
"5": 781,
"10": 944
}
},
"total_corpus_size_mb": 65.95209217071533,
"total_time_to_chunk": 7.4704547166824335,
"chunk_speed_mb_per_sec": 8.828390596282754,
"total_chunks_created": 317777,
"total_evaluation_time": 132.6938271522522,
"questions_per_second": 21.73424387474267,
"timestamp": 1750412729.313979
}