update model

artifact.metadata

@@ -0,0 +1,58 @@
+{
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+    "doc_token_id": "[unused1]",
+    "query_token": "[Q]",
+    "doc_token": "[D]",
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+    "similarity": "l2",
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+    "reranker": false,
+    "distillation_alpha": 1.0,
+    "ignore_scores": false,
+    "model_name": "xlm-roberta-large",
+    "force_resize_embeddings": true,
+    "query_maxlen": 32,
+    "attend_to_mask_tokens": false,
+    "interaction": "colbert",
+    "dim": 128,
+    "doc_maxlen": 180,
+    "mask_punctuation": true,
+    "checkpoint": "\/exp\/snair\/ColBERT\/msmarco\/rus\/MSMARCO-xlmr-scale21\/train.py\/MSMARCO-xlmr-scale21.l2\/checkpoints\/colbert.dnn",
+    "triples": "\/home\/hltcoe\/snair\/msmarco\/rus\/20210731-scale21-sockeye2-tm1_triples.tsv",
+    "collection": null,
+    "queries": null,
+    "index_name": null,
+    "overwrite": false,
+    "root": "\/exp\/snair\/ColBERT\/msmarco\/rus\/",
+    "experiment": "MSMARCO-xlmr-scale21",
+    "index_root": null,
+    "name": "2023-07\/09\/23.01.51",
+    "rank": 0,
+    "nranks": 1,
+    "amp": true,
+    "gpus": 0,
+    "meta": {
+        "hostname": "test1",
+        "git_branch": "plaid-x",
+        "git_hash": "d3f4e70439129ae7a2383c46ad661d481d464cdf",
+        "git_commit_datetime": "2023-07-04 00:23:15-04:00",
+        "current_datetime": "Jul 09, 2023 ; 11:44PM EDT (-0400)",
+        "cmd": "\/home\/hltcoe\/eyang\/.conda\/envs\/interactive-new\/bin\/ipython --profile=eugene",
+        "version": "colbert-v0.4"
+    }
+}

config.json

@@ -0,0 +1,28 @@
+{
+  "_name_or_path": "xlm-roberta-large",
+  "architectures": [
+    "HF_ColBERT"
+  ],
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+  "bos_token_id": 0,
+  "classifier_dropout": null,
+  "eos_token_id": 2,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 1024,
+  "initializer_range": 0.02,
+  "intermediate_size": 4096,
+  "layer_norm_eps": 1e-05,
+  "max_position_embeddings": 514,
+  "model_type": "xlm-roberta",
+  "num_attention_heads": 16,
+  "num_hidden_layers": 24,
+  "output_past": true,
+  "pad_token_id": 1,
+  "position_embedding_type": "absolute",
+  "torch_dtype": "float32",
+  "transformers_version": "4.25.1",
+  "type_vocab_size": 1,
+  "use_cache": true,
+  "vocab_size": 250004
+}

pytorch_model.bin

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+size 2240228465

special_tokens_map.json

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+  "mask_token": {
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tokenizer.json

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tokenizer_config.json

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+  "mask_token": {
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+  "name_or_path": "xlm-roberta-large",
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+  "tokenizer_class": "XLMRobertaTokenizer",
+  "unk_token": "<unk>"
+}