artifact.metadata

{
    "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,
    "similarity": "cosine",
    "bsize": 32,
    "accumsteps": 1,
    "lr": 5e-6,
    "maxsteps": 5000,
    "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": "\/root\/.cache\/huggingface\/hub\/datasets--tensorboy--chunks_dataset\/snapshots\/11809bcb1a7e9317516339776279907b82ffa630\/train\/triples.train.colbert.jsonl",
    "collection": "\/root\/.cache\/huggingface\/hub\/datasets--tensorboy--chunks_dataset\/snapshots\/11809bcb1a7e9317516339776279907b82ffa630\/train\/corpus.train.colbert.tsv",
    "queries": "\/root\/.cache\/huggingface\/hub\/datasets--tensorboy--chunks_dataset\/snapshots\/11809bcb1a7e9317516339776279907b82ffa630\/train\/queries.train.colbert.tsv",
    "index_name": null,
    "overwrite": false,
    "root": ".ragatouille\/",
    "experiment": "colbert",
    "index_root": null,
    "name": "2024-09\/26\/16.35.25",
    "rank": 0,
    "nranks": 2,
    "amp": true,
    "gpus": 2,
    "avoid_fork_if_possible": false,
    "meta": {
        "hostname": "9373fc80d516",
        "current_datetime": "Sep 26, 2024 ;  4:37PM UTC (+0000)",
        "cmd": "\/opt\/conda\/lib\/python3.10\/site-packages\/ipykernel_launcher.py -f \/root\/.local\/share\/jupyter\/runtime\/kernel-23e2b848-72f2-4f0a-8901-214295ccbc79.json",
        "version": "colbert-v0.4"
    }
}