colbert-xm-for-inference-api / 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,
"nbits": 2,
"kmeans_niters": 4,
"resume": false,
"similarity": "cosine",
"bsize": 128,
"accumsteps": 1,
"lr": 5e-6,
"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": "facebook\/xmod-base",
"query_maxlen": 32,
"attend_to_mask_tokens": true,
"interaction": "colbert",
"dim": 128,
"doc_maxlen": 256,
"mask_punctuation": true,
"checkpoint": "facebook\/xmod-base",
"triples": "data\/mmarco\/tuples.train.scores-ids.2nway.25.6M.jsonl",
"collection": "data\/mmarco\/english_collection.tsv",
"queries": "data\/mmarco\/english_queries.train.tsv",
"index_name": null,
"overwrite": false,
"root": "output\/training\/mmarco",
"experiment": "colbert",
"index_root": null,
"name": "2024-01-24_18.33-facebook-xmod-base-mmarco-en",
"rank": 0,
"nranks": 1,
"amp": true,
"gpus": 1,
"avoid_fork_if_possible": false,
"meta": {
"hostname": "jupyterlab-gpu-2-4-tljq4",
"git_branch": "main",
"git_hash": "2760099557eff9c5ca8d58bd23198a71161eaacf",
"git_commit_datetime": "2024-01-24 17:11:38+01:00",
"current_datetime": "Jan 25, 2024 ; 2:08AM CET (+0100)",
"cmd": "src\/training\/colbertv2.py --dataset mmarco --language en --do_train --model_name facebook\/xmod-base --dim 128 --similarity cosine --doc_maxlen 256 --query_maxlen 32 --mask_punctuation --attend_to_mask_tokens --maxsteps 200000 --warmup 20000 --lr 5e-6 --bsize 128 --accumsteps 1 --nway 2 --use_ib_negatives --ignore_scores --distillation_alpha 1.0 --nbits 2 --kmeans_niters 4 --data_dir data --output_dir output\/training",
"version": "colbert-v0.4"
}
}