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

@@ -10,7 +10,7 @@ tags:
 
 ---
 
-# dell-research-harvard/lt-wikidata-comp-es
+# {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

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 {
-  "_name_or_path": "models/linkage_es_aliases",
+  "_name_or_path": "hiiamsid/sentence_similarity_spanish_es",
   "architectures": [
     "BertModel"
   ],

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special_tokens_map.json

@@ -1,37 +1,7 @@
 {
-  "cls_token": {
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-    "lstrip": false,
-    "normalized": false,
-    "rstrip": false,
-    "single_word": false
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-    "normalized": false,
-    "rstrip": false,
-    "single_word": false
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-  "sep_token": {
-    "content": "[SEP]",
-    "lstrip": false,
-    "normalized": false,
-    "rstrip": false,
-    "single_word": false
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-  "unk_token": {
-    "content": "[UNK]",
-    "lstrip": false,
-    "normalized": false,
-    "rstrip": false,
-    "single_word": false
-  }
+  "cls_token": "[CLS]",
+  "mask_token": "[MASK]",
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "unk_token": "[UNK]"
 }

pytorch_model.bin → test_data.pickle

@@ -1,3 +1,3 @@
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-size 439467497
+oid sha256:ab6d0a892069d1e8580c059d35d94c0024b86130e41d2b2b27b1104359f2d8f3
+size 95022

val_data.pickle

@@ -0,0 +1,3 @@
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+oid sha256:0654c4fa3d3112d96e70632eff45021323730e6d2da0a7364aa33b38fd62be93
+size 743471