| { | |
| "query_token_id": "[unused0]", | |
| "doc_token_id": "[unused1]", | |
| "query_token": "[Q]", | |
| "doc_token": "[D]", | |
| "ncells": null, | |
| "centroid_score_threshold": null, | |
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| "load_index_with_mmap": false, | |
| "index_path": null, | |
| "index_bsize": 64, | |
| "nbits": 1, | |
| "kmeans_niters": 20, | |
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| "similarity": "cosine", | |
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| "lr": 1e-5, | |
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| "relu": false, | |
| "nway": 2, | |
| "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": 180, | |
| "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": "\/future\/u\/okhattab\/data\/MSMARCO\/collection.tsv", | |
| "queries": "\/future\/u\/okhattab\/data\/MSMARCO\/queries.train.tsv", | |
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| "overwrite": false, | |
| "root": "\/future\/u\/okhattab\/root\/unit\/experiments", | |
| "experiment": "2021.10", | |
| "index_root": null, | |
| "name": "kldR2.nway64.ib", | |
| "rank": 0, | |
| "nranks": 4, | |
| "amp": true, | |
| "gpus": 8, | |
| "avoid_fork_if_possible": false, | |
| "meta": { | |
| "hostname": "bharatsahaiyak-test", | |
| "git_branch": "colbert-training", | |
| "git_hash": "b3c1108b2c9023e2fa99849d5b2f3f95ed5ed9e8", | |
| "git_commit_datetime": "2024-05-26 08:26:21+00:00", | |
| "current_datetime": "May 27, 2024 ; 7:54PM UTC (+0000)", | |
| "cmd": "\/home\/ubuntu\/taksh\/autotune\/.venv\/bin\/celery -A autotune worker --loglevel=info -P gevent", | |
| "version": "colbert-v0.4" | |
| } | |
| } | |