| { | |
| "ncells": null, | |
| "centroid_score_threshold": null, | |
| "ndocs": null, | |
| "index_path": null, | |
| "nbits": 1, | |
| "kmeans_niters": 4, | |
| "resume": false, | |
| "similarity": "cosine", | |
| "bsize": 32, | |
| "accumsteps": 1, | |
| "lr": 3e-6, | |
| "maxsteps": 500000, | |
| "save_every": null, | |
| "warmup": null, | |
| "warmup_bert": null, | |
| "relu": false, | |
| "nway": 2, | |
| "use_ib_negatives": true, | |
| "reranker": false, | |
| "distillation_alpha": 1.0, | |
| "ignore_scores": false, | |
| "epochs": 1, | |
| "query_maxlen": 32, | |
| "attend_to_mask_tokens": false, | |
| "interaction": "colbert", | |
| "dim": 128, | |
| "doc_maxlen": 220, | |
| "mask_punctuation": true, | |
| "checkpoint": "bert-base-uncased", | |
| "triples": "\/workdisk\/nosnap\/datasets\/open_domain_data\/colbert\/nq-triplets_train.json", | |
| "collection": "\/workdisk\/nosnap\/datasets\/open_domain_data\/colbert\/collection.tsv", | |
| "queries": "\/workdisk\/nosnap\/datasets\/open_domain_data\/colbert\/nq-queries_train.tsv", | |
| "index_name": null, | |
| "overwrite": false, | |
| "root": "\/workdisk\/code\/colbertv2\/experiments", | |
| "experiment": "wiki-nq", | |
| "index_root": null, | |
| "name": "2022-11\/08\/22.14.30", | |
| "rank": 0, | |
| "nranks": 4, | |
| "amp": true, | |
| "gpus": 4, | |
| "wandb_project": "colbert_v2", | |
| "meta": { | |
| "hostname": "pizsak-research-tc2tt-zppl2", | |
| "git_branch": "peter-enable-training", | |
| "git_hash": "80838542bbe7e08d5e37985f54b5ec81636a4913", | |
| "git_commit_datetime": "2022-11-08 22:21:50+02:00", | |
| "current_datetime": "Nov 09, 2022 ; 8:00PM IST (+0200)", | |
| "cmd": "train_model.py", | |
| "version": "colbert-v0.4" | |
| } | |
| } | |