Update spaCy pipeline

README.md

@@ -13,18 +13,18 @@ model-index:
     metrics:
     - name: NER Precision
       type: precision
-      value: 0.7942407169
+      value: 0.7942124225
     - name: NER Recall
       type: recall
-      value: 0.71703501
+      value: 0.7429116388
     - name: NER F Score
       type: f_score
-      value: 0.7536657808
+      value: 0.767705961
 ---
 | Feature | Description |
 | --- | --- |
 | **Name** | `en_ner_sender_recipient` |
-| **Version** | `0.0.0` |
+| **Version** | `1.0.0` |
 | **spaCy** | `>=3.5.0,<3.6.0` |
 | **Default Pipeline** | `tok2vec`, `ner` |
 | **Components** | `tok2vec`, `ner` |
@@ -49,8 +49,8 @@ model-index:
 
 | Type | Score |
 | --- | --- |
-| `ENTS_F` | 75.37 |
+| `ENTS_F` | 76.77 |
 | `ENTS_P` | 79.42 |
-| `ENTS_R` | 71.70 |
-| `TOK2VEC_LOSS` | 166456.96 |
-| `NER_LOSS` | 208150.03 |
+| `ENTS_R` | 74.29 |
+| `TOK2VEC_LOSS` | 172291.20 |
+| `NER_LOSS` | 173143.05 |

config.cfg

@@ -38,7 +38,7 @@ nO = null
 
 [components.ner.model.tok2vec]
 @architectures = "spacy.Tok2VecListener.v1"
-width = ${components.tok2vec.model.encode.width}
+width = 256
 upstream = "*"
 
 [components.tok2vec]
@@ -49,7 +49,7 @@ factory = "tok2vec"
 
 [components.tok2vec.model.embed]
 @architectures = "spacy.MultiHashEmbed.v2"
-width = ${components.tok2vec.model.encode.width}
+width = 256
 attrs = ["NORM","PREFIX","SUFFIX","SHAPE"]
 rows = [5000,1000,2500,2500]
 include_static_vectors = true
@@ -87,8 +87,8 @@ gpu_allocator = ${system.gpu_allocator}
 dropout = 0.1
 accumulate_gradient = 1
 patience = 1600
-max_epochs = 0
-max_steps = 20000
+max_epochs = 5
+max_steps = 0
 eval_frequency = 200
 frozen_components = []
 annotating_components = []

en_ner_sender_recipient-any-py3-none-any.whl

@@ -1,3 +1,3 @@
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-size 609328692
+oid sha256:2d076aac37f7b494848f38fe3643b8621b027b08911e83908a324cb4bb43b47c
+size 609293302

meta.json

@@ -1,7 +1,7 @@
 {
   "lang":"en",
   "name":"ner_sender_recipient",
-  "version":"0.0.0",
+  "version":"1.0.0",
   "description":"",
   "author":"",
   "email":"",
@@ -36,23 +36,23 @@
 
   ],
   "performance":{
-    "ents_f":0.7536657808,
-    "ents_p":0.7942407169,
-    "ents_r":0.71703501,
+    "ents_f":0.767705961,
+    "ents_p":0.7942124225,
+    "ents_r":0.7429116388,
     "ents_per_type":{
-      "RECIPIENT":{
-        "p":0.7338451522,
-        "r":0.6955414995,
-        "f":0.7141801093
-      },
       "SENDER":{
-        "p":0.8353232087,
-        "r":0.7305252965,
-        "f":0.7794173353
+        "p":0.8125488862,
+        "r":0.7678192686,
+        "f":0.7895510798
+      },
+      "RECIPIENT":{
+        "p":0.7641248849,
+        "r":0.7031141691,
+        "f":0.7323510536
       }
     },
-    "tok2vec_loss":1664.5696175106,
-    "ner_loss":2081.5002597319
+    "tok2vec_loss":1722.9120263289,
+    "ner_loss":1731.4304592674
   },
   "requirements":[
 

ner/moves

@@ -1 +1 @@
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+��movesټ{"0":{},"1":{"SENDER":715881,"RECIPIENT":443513},"2":{"SENDER":715881,"RECIPIENT":443513},"3":{"SENDER":715881,"RECIPIENT":443513},"4":{"SENDER":715881,"RECIPIENT":443513,"":1},"5":{"":1}}�cfg��neg_key�

tok2vec/model

@@ -1,3 +1,3 @@
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 size 34434008

vocab/strings.json

@@ -1,3 +1,3 @@
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+size 19532895