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.gitattributes

@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+tokenizer.json filter=lfs diff=lfs merge=lfs -text

artifact.metadata

@@ -0,0 +1,48 @@
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+    "use_ib_negatives": "True",
+    "reranker": false,
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+    "ignore_scores": "True",
+    "model_name": "xlm-roberta-large",
+    "query_maxlen": 32,
+    "attend_to_mask_tokens": false,
+    "interaction": "colbert",
+    "dim": 128,
+    "doc_maxlen": 256,
+    "mask_punctuation": true,
+    "checkpoint": "xlm-roberta-large",
+    "triples": "\/home\/jhkim980112\/workspace\/dataset\/msmarco\/qidpidtriples.train.full.shuffled.json",
+    "collection": "\/home\/jhkim980112\/workspace\/dataset\/msmarco\/collection.tsv",
+    "queries": "\/home\/jhkim980112\/workspace\/dataset\/msmarco\/queries.train.tsv",
+    "index_name": null,
+    "overwrite": false,
+    "root": "\/home\/jhkim980112\/workspace\/ColBERT\/experiments",
+    "experiment": "msmarco_xlm-roberta-large",
+    "index_root": null,
+    "name": "2023-10\/11\/10.12.26",
+    "rank": 0,
+    "nranks": 4,
+    "amp": true,
+    "gpus": 4
+}

config.json

@@ -0,0 +1,28 @@
+{
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+  "architectures": [
+    "HF_ColBERT"
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+  "layer_norm_eps": 1e-05,
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+  "model_type": "xlm-roberta",
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+  "num_hidden_layers": 24,
+  "output_past": true,
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+  "position_embedding_type": "absolute",
+  "torch_dtype": "float32",
+  "transformers_version": "4.30.2",
+  "type_vocab_size": 1,
+  "use_cache": true,
+  "vocab_size": 250002
+}

pytorch_model.bin

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special_tokens_map.json

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tokenizer.json

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tokenizer_config.json

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+}