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.ragatouille/colbert/indexes/new_idx/0.codes.pt

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.ragatouille/colbert/indexes/new_idx/0.residuals.pt

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.ragatouille/colbert/indexes/new_idx/buckets.pt

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.ragatouille/colbert/indexes/new_idx/ivf.pid.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7d420665f31951703e338f70a1a96fd1700c96043b48d4fab1ff4a91d141d429
+size 2945624

.ragatouille/colbert/indexes/new_idx/metadata.json

@@ -0,0 +1,70 @@
+{
+  "config":{
+    "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":32,
+    "nbits":4,
+    "kmeans_niters":20,
+    "resume":false,
+    "similarity":"cosine",
+    "bsize":64,
+    "accumsteps":1,
+    "lr":0.00001,
+    "maxsteps":400000,
+    "save_every":null,
+    "warmup":20000,
+    "warmup_bert":null,
+    "relu":false,
+    "nway":64,
+    "use_ib_negatives":true,
+    "reranker":false,
+    "distillation_alpha":1.0,
+    "ignore_scores":false,
+    "model_name":null,
+    "query_maxlen":32,
+    "attend_to_mask_tokens":false,
+    "interaction":"colbert",
+    "dim":128,
+    "doc_maxlen":256,
+    "mask_punctuation":true,
+    "checkpoint":"colbert-ir/colbertv2.0",
+    "triples":"/future/u/okhattab/root/unit/experiments/2021.10/downstream.distillation.round2.2_score/round2.nway6.cosine.ib/examples.64.json",
+    "collection":[
+      "list with 6133 elements starting with...",
+      [
+        "Lecture 03\nShallow Networks\nDL4DS \u2013 Spring 2024\nDS598 B1 Gardos \u2013 Understanding Deep Learning, Other Content Cited",
+        "\u2022 Univariate regression problem (one output, real value)\n\u2022 Fully connected network\nRecap: Regression\n2",
+        "Recap: 1D Linear regression loss function\n<latexit sha1_base64=\"/hMh896NPSehdG/Bg07J5FjBuSo=\">AW9HiclZhbc9Q2FI\nA3lLY0LTS07z0xdMHdpCJsvQywszkBAgJDQJuUKc7Mhe2Ssiy4vyQaP/0nfOn3t/+lLf0uPbO8Kn6M8dGfCivN9uh1JtdeIkWLy39M3Pto+sf/Lpjc9mP/i5q0v525/tZ/FR\nerzPT+WcXrosYxLofheLnLJD5OUs8iT/MA7XdH84JynmYjVb"
+      ]
+    ],
+    "queries":"/future/u/okhattab/data/MSMARCO/queries.train.tsv",
+    "index_name":"new_idx",
+    "overwrite":false,
+    "root":".ragatouille/",
+    "experiment":"colbert",
+    "index_root":null,
+    "name":"2024-06/05/18.47.01",
+    "rank":0,
+    "nranks":1,
+    "amp":true,
+    "gpus":1,
+    "avoid_fork_if_possible":false
+  },
+  "num_chunks":1,
+  "num_partitions":8192,
+  "num_embeddings":892641,
+  "avg_doclen":145.5472036524,
+  "RAGatouille":{
+    "index_config":{
+      "index_type":"PLAID",
+      "index_name":"new_idx"
+    }
+  }
+}

.ragatouille/colbert/indexes/new_idx/plan.json

@@ -0,0 +1,64 @@
+{
+    "config": {
+        "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": 32,
+        "nbits": 4,
+        "kmeans_niters": 20,
+        "resume": false,
+        "similarity": "cosine",
+        "bsize": 64,
+        "accumsteps": 1,
+        "lr": 1e-5,
+        "maxsteps": 400000,
+        "save_every": null,
+        "warmup": 20000,
+        "warmup_bert": null,
+        "relu": false,
+        "nway": 64,
+        "use_ib_negatives": true,
+        "reranker": false,
+        "distillation_alpha": 1.0,
+        "ignore_scores": false,
+        "model_name": null,
+        "query_maxlen": 32,
+        "attend_to_mask_tokens": false,
+        "interaction": "colbert",
+        "dim": 128,
+        "doc_maxlen": 256,
+        "mask_punctuation": true,
+        "checkpoint": "colbert-ir\/colbertv2.0",
+        "triples": "\/future\/u\/okhattab\/root\/unit\/experiments\/2021.10\/downstream.distillation.round2.2_score\/round2.nway6.cosine.ib\/examples.64.json",
+        "collection": [
+            "list with 6133 elements starting with...",
+            [
+                "Lecture 03\nShallow Networks\nDL4DS \u2013 Spring 2024\nDS598 B1 Gardos \u2013 Understanding Deep Learning, Other Content Cited",
+                "\u2022 Univariate regression problem (one output, real value)\n\u2022 Fully connected network\nRecap: Regression\n2",
+                "Recap: 1D Linear regression loss function\n<latexit sha1_base64=\"\/hMh896NPSehdG\/Bg07J5FjBuSo=\">AW9HiclZhbc9Q2FI\nA3lLY0LTS07z0xdMHdpCJsvQywszkBAgJDQJuUKc7Mhe2Ssiy4vyQaP\/0nfOn3t\/+lLf0uPbO8Kn6M8dGfCivN9uh1JtdeIkWLy39M3Pto+sf\/Lpjc9mP\/i5q0v525\/tZ\/FR\nerzPT+WcXrosYxLofheLnLJD5OUs8iT\/MA7XdH84JynmYjVb"
+            ]
+        ],
+        "queries": "\/future\/u\/okhattab\/data\/MSMARCO\/queries.train.tsv",
+        "index_name": "new_idx",
+        "overwrite": false,
+        "root": ".ragatouille\/",
+        "experiment": "colbert",
+        "index_root": null,
+        "name": "2024-06\/05\/18.47.01",
+        "rank": 0,
+        "nranks": 1,
+        "amp": true,
+        "gpus": 1,
+        "avoid_fork_if_possible": false
+    },
+    "num_chunks": 1,
+    "num_partitions": 8192,
+    "num_embeddings_est": 892641.043182373,
+    "avg_doclen_est": 145.54721069335938
+}