| { | |
| "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": 64, | |
| "nbits": 2, | |
| "kmeans_niters": 4, | |
| "resume": false, | |
| "similarity": "cosine", | |
| "bsize": 64, | |
| "accumsteps": 1, | |
| "lr": 5e-6, | |
| "maxsteps": 1000, | |
| "save_every": null, | |
| "warmup": 0, | |
| "warmup_bert": null, | |
| "relu": false, | |
| "nway": 2, | |
| "use_ib_negatives": true, | |
| "reranker": false, | |
| "distillation_alpha": 1.0, | |
| "ignore_scores": true, | |
| "model_name": "antoinelouis\/colbertv1-camembert-base-mmarcoFR", | |
| "query_maxlen": 64, | |
| "attend_to_mask_tokens": true, | |
| "interaction": "colbert", | |
| "dim": 128, | |
| "doc_maxlen": 512, | |
| "mask_punctuation": true, | |
| "checkpoint": "antoinelouis\/colbertv1-camembert-base-mmarcoFR", | |
| "triples": "data\/lleqa\/train-64.0K-triplets-hard_negs_me5.jsonl", | |
| "collection": "data\/lleqa\/collection.tsv", | |
| "queries": "data\/lleqa\/queries.train.tsv", | |
| "index_name": null, | |
| "overwrite": false, | |
| "root": "output\/training\/lleqa", | |
| "experiment": "colbert", | |
| "index_root": null, | |
| "name": "2024-05-24_23.13-antoinelouis-colbertv1-camembert-base-mmarcoFR-lleqa", | |
| "rank": 0, | |
| "nranks": 1, | |
| "amp": true, | |
| "gpus": 1, | |
| "avoid_fork_if_possible": false, | |
| "meta": { | |
| "hostname": "jupyterlab-gpu-2-13-djqhv", | |
| "git_branch": "main", | |
| "git_hash": "73bea556edb4e68a9fa96e46084a2260827fb742", | |
| "git_commit_datetime": "2024-05-24 22:52:51+02:00", | |
| "current_datetime": "May 24, 2024 ; 11:24PM CEST (+0200)", | |
| "cmd": "src\/retrievers\/multi_dense_biencoder.py --dataset lleqa --data_dir data --do_train --model_name antoinelouis\/colbertv1-camembert-base-mmarcoFR --dim 128 --similarity cosine --doc_maxlen 512 --query_maxlen 64 --mask_punctuation --attend_to_mask_tokens --maxsteps 1000 --warmup 0 --lr 5e-6 --bsize 64 --accumsteps 1 --nway 2 --use_ib_negatives --ignore_scores --distillation_alpha 1.0 --seed 42 --do_test --nbits 2 --kmeans_niters 4 --output_dir output\/training", | |
| "version": "colbert-v0.4" | |
| } | |
| } | |