| { |
| "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": 20, |
| "resume": false, |
| "similarity": "cosine", |
| "bsize": 4, |
| "accumsteps": 1, |
| "lr": 5e-6, |
| "maxsteps": 500000, |
| "save_every": 1, |
| "warmup": 1, |
| "warmup_bert": null, |
| "relu": false, |
| "nway": 2, |
| "use_ib_negatives": true, |
| "reranker": false, |
| "distillation_alpha": 1.0, |
| "ignore_scores": false, |
| "model_name": "LlamaIndexDatasetColBERT", |
| "query_maxlen": 32, |
| "attend_to_mask_tokens": false, |
| "interaction": "colbert", |
| "dim": 128, |
| "doc_maxlen": 256, |
| "mask_punctuation": true, |
| "checkpoint": "\/home\/ming\/git\/colbert-trainer\/.ragatouille\/colbert\/none\/2024-04\/11\/15.01.01\/checkpoints\/colbert\/", |
| "triples": "data\/triples.train.colbert.jsonl", |
| "collection": "data\/corpus.train.colbert.tsv", |
| "queries": "data\/queries.train.colbert.tsv", |
| "index_name": null, |
| "overwrite": false, |
| "root": ".ragatouille\/", |
| "experiment": "colbert", |
| "index_root": null, |
| "name": "2024-04\/11\/15.04.57", |
| "rank": 0, |
| "nranks": 8, |
| "amp": true, |
| "gpus": 8, |
| "avoid_fork_if_possible": false, |
| "meta": { |
| "hostname": "ip-172-31-41-103", |
| "current_datetime": "Apr 11, 2024 ; 3:06PM UTC (+0000)", |
| "cmd": "train.py", |
| "version": "colbert-v0.4" |
| } |
| } |
|
|