File size: 1,805 Bytes
4c67f30 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 |
{
"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": 4,
"kmeans_niters": 20,
"resume": false,
"pool_factor": 1,
"clustering_mode": "hierarchical",
"protected_tokens": 0,
"similarity": "cosine",
"bsize": 32,
"accumsteps": 1,
"lr": 5e-6,
"maxsteps": 3000,
"save_every": 9,
"warmup": 9,
"warmup_bert": null,
"relu": false,
"nway": 2,
"use_ib_negatives": true,
"reranker": false,
"distillation_alpha": 1.0,
"ignore_scores": false,
"model_name": "chunks_colbert_v2",
"query_maxlen": 32,
"attend_to_mask_tokens": false,
"interaction": "colbert",
"dim": 128,
"doc_maxlen": 256,
"mask_punctuation": true,
"checkpoint": "colbert-ir\/colbertv2.0",
"triples": "\/kaggle\/working\/train\/triples.train.colbert.jsonl",
"collection": "\/kaggle\/working\/train\/corpus.train.colbert.tsv",
"queries": "\/kaggle\/working\/train\/queries.train.colbert.tsv",
"index_name": null,
"overwrite": false,
"root": ".ragatouille\/",
"experiment": "colbert",
"index_root": null,
"name": "2024-09\/26\/13.47.00",
"rank": 0,
"nranks": 2,
"amp": true,
"gpus": 2,
"avoid_fork_if_possible": false,
"meta": {
"hostname": "b068ccaf4413",
"current_datetime": "Sep 26, 2024 ; 1:51PM UTC (+0000)",
"cmd": "\/opt\/conda\/lib\/python3.10\/site-packages\/ipykernel_launcher.py -f \/root\/.local\/share\/jupyter\/runtime\/kernel-978a078a-bdab-4460-867f-f9b8ef96e70a.json",
"version": "colbert-v0.4"
}
}
|