Upload artifact.metadata
Browse files- artifact.metadata +75 -0
artifact.metadata
ADDED
@@ -0,0 +1,75 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"query_token_id": "[unused0]",
|
3 |
+
"doc_token_id": "[unused1]",
|
4 |
+
"query_token": "[Q]",
|
5 |
+
"doc_token": "[D]",
|
6 |
+
"ncells": null,
|
7 |
+
"centroid_score_threshold": null,
|
8 |
+
"ndocs": null,
|
9 |
+
"load_index_with_mmap": false,
|
10 |
+
"index_path": null,
|
11 |
+
"index_bsize": 64,
|
12 |
+
"nbits": 1,
|
13 |
+
"kmeans_niters": 4,
|
14 |
+
"resume": false,
|
15 |
+
"pool_factor": 1,
|
16 |
+
"clustering_mode": "hierarchical",
|
17 |
+
"protected_tokens": 0,
|
18 |
+
"similarity": "cosine",
|
19 |
+
"bsize": 32,
|
20 |
+
"accumsteps": 1,
|
21 |
+
"lr": 1e-5,
|
22 |
+
"maxsteps": 15626,
|
23 |
+
"save_every": null,
|
24 |
+
"warmup": 781,
|
25 |
+
"warmup_bert": null,
|
26 |
+
"relu": false,
|
27 |
+
"nway": 32,
|
28 |
+
"use_ib_negatives": false,
|
29 |
+
"reranker": false,
|
30 |
+
"distillation_alpha": 1.0,
|
31 |
+
"ignore_scores": false,
|
32 |
+
"model_name": "answerdotai/AnswerAI-ColBERTv2.5-small",
|
33 |
+
"schedule_free": false,
|
34 |
+
"schedule_free_wd": 0.0,
|
35 |
+
"kldiv_loss": true,
|
36 |
+
"marginmse_loss": false,
|
37 |
+
"kldiv_weight": 1.0,
|
38 |
+
"marginmse_weight": 0.05,
|
39 |
+
"ib_loss_weight": 1.0,
|
40 |
+
"normalise_training_scores": true,
|
41 |
+
"normalization_method": "minmax",
|
42 |
+
"quant_aware": false,
|
43 |
+
"highest_quant_level": 8,
|
44 |
+
"lowest_quant_level": 2,
|
45 |
+
"query_maxlen": 32,
|
46 |
+
"attend_to_mask_tokens": false,
|
47 |
+
"interaction": "colbert",
|
48 |
+
"cap_padding": 0,
|
49 |
+
"dynamic_query_maxlen": false,
|
50 |
+
"dynamic_querylen_multiples": 32,
|
51 |
+
"dim": 96,
|
52 |
+
"doc_maxlen": 300,
|
53 |
+
"mask_punctuation": true,
|
54 |
+
"checkpoint": "bclavie\/mini-base",
|
55 |
+
"triples": "\/home\/bclavie\/colbertv2.5_en\/data\/msmarco\/triplets.jsonl",
|
56 |
+
"collection": "\/home\/bclavie\/colbertv2.5_en\/data\/msmarco\/collection.tsv",
|
57 |
+
"queries": "\/home\/bclavie\/colbertv2.5_en\/data\/msmarco\/queries.tsv",
|
58 |
+
"index_name": null,
|
59 |
+
"overwrite": false,
|
60 |
+
"root": "\/home\/bclavie\/colbertv2.5_en\/experiments",
|
61 |
+
"experiment": "minicolbertv2.5",
|
62 |
+
"index_root": null,
|
63 |
+
"name": "2024-08\/07\/08.16.20",
|
64 |
+
"rank": 0,
|
65 |
+
"nranks": 4,
|
66 |
+
"amp": true,
|
67 |
+
"gpus": 4,
|
68 |
+
"avoid_fork_if_possible": false,
|
69 |
+
"meta": {
|
70 |
+
"hostname": "a100-80-4x",
|
71 |
+
"current_datetime": "Aug 07, 2024 ; 12:13PM UTC (+0000)",
|
72 |
+
"cmd": "train_v2.5_mini.py",
|
73 |
+
"version": "colbert-v0.4"
|
74 |
+
}
|
75 |
+
}
|