{ "config":{ "query_token_id":"[unused0]", "doc_token_id":"[unused1]", "query_token":"[Q]", "doc_token":"[D]", "ncells":null, "centroid_score_threshold":null, "ndocs":null, "load_index_with_mmap":false, "index_path":null, "index_bsize":32, "nbits":4, "kmeans_niters":20, "resume":false, "similarity":"cosine", "bsize":64, "accumsteps":1, "lr":0.00001, "maxsteps":400000, "save_every":null, "warmup":20000, "warmup_bert":null, "relu":false, "nway":64, "use_ib_negatives":true, "reranker":false, "distillation_alpha":1.0, "ignore_scores":false, "model_name":null, "query_maxlen":32, "attend_to_mask_tokens":false, "interaction":"colbert", "dim":128, "doc_maxlen":256, "mask_punctuation":true, "checkpoint":"colbert-ir/colbertv2.0", "triples":"/future/u/okhattab/root/unit/experiments/2021.10/downstream.distillation.round2.2_score/round2.nway6.cosine.ib/examples.64.json", "collection":[ "list with 6133 elements starting with...", [ "Lecture 03\nShallow Networks\nDL4DS \u2013 Spring 2024\nDS598 B1 Gardos \u2013 Understanding Deep Learning, Other Content Cited", "\u2022 Univariate regression problem (one output, real value)\n\u2022 Fully connected network\nRecap: Regression\n2", "Recap: 1D Linear regression loss function\nAW9HiclZhbc9Q2FI\nA3lLY0LTS07z0xdMHdpCJsvQywszkBAgJDQJuUKc7Mhe2Ssiy4vyQaP/0nfOn3t/+lLf0uPbO8Kn6M8dGfCivN9uh1JtdeIkWLy39M3Pto+sf/Lpjc9mP/i5q0v525/tZ/FR\nerzPT+WcXrosYxLofheLnLJD5OUs8iT/MA7XdH84JynmYjVb" ] ], "queries":"/future/u/okhattab/data/MSMARCO/queries.train.tsv", "index_name":"new_idx", "overwrite":false, "root":".ragatouille/", "experiment":"colbert", "index_root":null, "name":"2024-06/05/18.47.01", "rank":0, "nranks":1, "amp":true, "gpus":1, "avoid_fork_if_possible":false }, "num_chunks":1, "num_partitions":8192, "num_embeddings":892641, "avg_doclen":145.5472036524, "RAGatouille":{ "index_config":{ "index_type":"PLAID", "index_name":"new_idx" } } }