ColBERTv2.0-mmarcoFR / artifact.metadata
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{
"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": 1,
"kmeans_niters": 4,
"resume": false,
"similarity": "cosine",
"bsize": 64,
"accumsteps": 1,
"lr": 1e-5,
"maxsteps": 200000,
"save_every": null,
"warmup": 20000,
"warmup_bert": null,
"relu": false,
"nway": 2,
"use_ib_negatives": true,
"reranker": false,
"distillation_alpha": 1.0,
"ignore_scores": true,
"model_name": "camembert-base",
"query_maxlen": 32,
"attend_to_mask_tokens": false,
"interaction": "colbert",
"dim": 128,
"doc_maxlen": 180,
"mask_punctuation": true,
"checkpoint": "antoinelouis\/colbertv1-camembert-base-mmarcoFR",
"triples": "examples.json",
"collection": "french_collection.tsv",
"queries": "french_queries.train.tsv",
"index_name": null,
"overwrite": false,
"root": "\/home\/jupyter\/experiments",
"experiment": "default",
"index_root": null,
"name": "ColBERTv2.0-camembert-based-mmarcoFR",
"rank": 0,
"nranks": 1,
"amp": true,
"gpus": 1,
"avoid_fork_if_possible": true,
"meta": {
"hostname": "instance-1709045546",
"current_datetime": "Mar 02, 2024 ; 9:12AM UTC (+0000)",
"cmd": "\/opt\/conda\/lib\/python3.10\/site-packages\/ipykernel_launcher.py -f \/home\/jupyter\/.local\/share\/jupyter\/runtime\/kernel-48babef0-f54c-4517-9eaa-1be86aeae535.json",
"version": "colbert-v0.4"
}
}