Updated model with better training and evaluation. Test and val data included as pickle files. Older Legacy files were removed to avoid confusion.

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Information-Retrieval_evaluation_eval_results.csv

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Information-Retrieval_evaluation_test_results.csv

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README.md

@@ -12,7 +12,7 @@ tags:
 
 ---
 
-# dell-research-harvard/lt-un-data-fine-coarse-multi
+# {MODEL_NAME}
 
 This is a [LinkTransformer](https://linktransformer.github.io/) model. At its core this model this is a sentence transformer model [sentence-transformers](https://www.SBERT.net) model- it just wraps around the class. 
 It is designed for quick and easy record linkage (entity-matching) through the LinkTransformer package. The tasks include clustering, deduplication, linking, aggregation and more.

config.json

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "models/linkage_un_data_multi_fine_coarse",
+  "_name_or_path": "sentence-transformers/paraphrase-multilingual-mpnet-base-v2",
   "architectures": [
     "XLMRobertaModel"
   ],

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special_tokens_map.json

@@ -1,25 +1,7 @@
 {
-  "bos_token": {
-    "content": "<s>",
-    "lstrip": false,
-    "normalized": false,
-    "rstrip": false,
-    "single_word": false
-  },
-  "cls_token": {
-    "content": "<s>",
-    "lstrip": false,
-    "normalized": false,
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-  "eos_token": {
-    "content": "</s>",
-    "lstrip": false,
-    "normalized": false,
-    "rstrip": false,
-    "single_word": false
-  },
+  "bos_token": "<s>",
+  "cls_token": "<s>",
+  "eos_token": "</s>",
   "mask_token": {
     "content": "<mask>",
     "lstrip": true,
@@ -27,25 +9,7 @@
     "rstrip": false,
     "single_word": false
   },
-  "pad_token": {
-    "content": "<pad>",
-    "lstrip": false,
-    "normalized": false,
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-  "sep_token": {
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-    "content": "<unk>",
-    "lstrip": false,
-    "normalized": false,
-    "rstrip": false,
-    "single_word": false
-  }
+  "pad_token": "<pad>",
+  "sep_token": "</s>",
+  "unk_token": "<unk>"
 }

pytorch_model.bin → test_data.pickle

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-size 1112238569
+oid sha256:1e1e2ab0915a89b99706cd1c2570d736833e2e1f22f1ca851750331d50064a1a
+size 106534

val_data.pickle

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