Update spaCy pipeline

README.md

@@ -13,20 +13,20 @@ model-index:
     metrics:
     - name: NER Precision
       type: precision
-      value: 0.9494646681
+      value: 0.9629324547
     - name: NER Recall
       type: recall
-      value: 0.9342604298
+      value: 0.9504065041
     - name: NER F Score
       type: f_score
-      value: 0.9418011895
+      value: 0.9566284779
 ---
-Deutsche NER-Pipeline für frühneuhochdeutsche Texte.
+Deutsche NER-Pipeline für frühneuhochdeutsche Texte (2.Version)
 
 | Feature | Description |
 | --- | --- |
 | **Name** | `de_fnhd_nerdh` |
-| **Version** | `0.0.1` |
+| **Version** | `0.0.2` |
 | **spaCy** | `>=3.4.1,<3.5.0` |
 | **Default Pipeline** | `tok2vec`, `ner` |
 | **Components** | `tok2vec`, `ner` |
@@ -51,8 +51,8 @@ Deutsche NER-Pipeline für frühneuhochdeutsche Texte.
 
 | Type | Score |
 | --- | --- |
-| `ENTS_F` | 94.18 |
-| `ENTS_P` | 94.95 |
-| `ENTS_R` | 93.43 |
-| `TOK2VEC_LOSS` | 25021.84 |
-| `NER_LOSS` | 12002.56 |
+| `ENTS_F` | 95.66 |
+| `ENTS_P` | 96.29 |
+| `ENTS_R` | 95.04 |
+| `TOK2VEC_LOSS` | 25311.59 |
+| `NER_LOSS` | 15478.32 |

config.cfg

@@ -1,6 +1,6 @@
 [paths]
-train = "./datasets/trainData.spacy"
-dev = "./datasets/valuationData.spacy"
+train = "./datsets_SeperaText/trainData.spacy"
+dev = "./datsets_SeperaText/valuationData.spacy"
 vectors = "de_core_news_lg"
 init_tok2vec = null
 

de_fnhd_nerdh-any-py3-none-any.whl

@@ -1,3 +1,3 @@
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-size 586637802
+oid sha256:7c52f43057f23ef4f54249227b8084ce5c95b8be3301d09c01fa8da68b955a30
+size 586641106

meta.json

@@ -1,8 +1,8 @@
 {
   "lang":"de",
   "name":"fnhd_nerdh",
-  "version":"0.0.1",
-  "description":"Deutsche NER-Pipeline f\u00fcr fr\u00fchneuhochdeutsche Texte.",
+  "version":"0.0.2",
+  "description":"Deutsche NER-Pipeline f\u00fcr fr\u00fchneuhochdeutsche Texte (2.Version)",
   "author":"ih",
   "email":"",
   "url":"",
@@ -39,38 +39,38 @@
 
   ],
   "performance":{
-    "ents_f":0.9418011895,
-    "ents_p":0.9494646681,
-    "ents_r":0.9342604298,
+    "ents_f":0.9566284779,
+    "ents_p":0.9629324547,
+    "ents_r":0.9504065041,
     "ents_per_type":{
-      "ZEIT":{
-        "p":0.9371069182,
-        "r":0.9085365854,
-        "f":0.9226006192
-      },
       "PERSON":{
-        "p":0.9404255319,
-        "r":0.9256544503,
-        "f":0.9329815303
+        "p":0.9662576687,
+        "r":0.9402985075,
+        "f":0.9531013616
       },
-      "OBJEKT":{
-        "p":0.9644268775,
-        "r":0.953125,
-        "f":0.9587426326
+      "ZEIT":{
+        "p":0.9383753501,
+        "r":0.9463276836,
+        "f":0.9423347398
       },
       "ORT":{
-        "p":0.9602122016,
-        "r":0.9488859764,
-        "f":0.9545154911
+        "p":0.9677018634,
+        "r":0.97375,
+        "f":0.9707165109
+      },
+      "OBJEKT":{
+        "p":0.9613733906,
+        "r":0.9411764706,
+        "f":0.9511677282
       },
       "ORGANISATION":{
-        "p":0.9571428571,
-        "r":0.9436619718,
-        "f":0.9503546099
+        "p":1.0,
+        "r":0.873015873,
+        "f":0.9322033898
       }
     },
-    "tok2vec_loss":250.2184356905,
-    "ner_loss":120.0256050907
+    "tok2vec_loss":253.1158722301,
+    "ner_loss":154.7832370011
   },
   "requirements":[
 

ner/moves

@@ -1 +1 @@
-��moves�
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+��moves�
8{"0":{},"1":{"PERSON":1289,"ZEIT":699,"ORT":690,"OBJEKT":302,"ORGANISATION":56},"2":{"PERSON":1289,"ZEIT":699,"ORT":690,"OBJEKT":302,"ORGANISATION":56},"3":{"PERSON":1289,"ZEIT":699,"ORT":690,"OBJEKT":302,"ORGANISATION":56},"4":{"PERSON":1289,"ZEIT":699,"ORT":690,"OBJEKT":302,"ORGANISATION":56,"":1},"5":{"":1}}�cfg��neg_key�

tok2vec/model

@@ -1,3 +1,3 @@
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vocab/strings.json

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