Update spaCy pipeline

README.md

@@ -13,13 +13,13 @@ model-index:
     metrics:
     - name: NER Precision
       type: precision
-      value: 0.9862148436
+      value: 0.9898959627
     - name: NER Recall
       type: recall
-      value: 0.9863411303
+      value: 0.9868960219
     - name: NER F Score
       type: f_score
-      value: 0.9862779829
+      value: 0.9883937159
 ---
 | Feature | Description |
 | --- | --- |
@@ -28,7 +28,7 @@ model-index:
 | **spaCy** | `>=3.7.2,<3.8.0` |
 | **Default Pipeline** | `tok2vec`, `ner` |
 | **Components** | `tok2vec`, `ner` |
-| **Vectors** | 514157 keys, 514157 unique vectors (300 dimensions) |
+| **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
 | **Sources** | n/a |
 | **License** | n/a |
 | **Author** | [n/a]() |
@@ -49,8 +49,8 @@ model-index:
 
 | Type | Score |
 | --- | --- |
-| `ENTS_F` | 98.63 |
-| `ENTS_P` | 98.62 |
-| `ENTS_R` | 98.63 |
-| `TOK2VEC_LOSS` | 55320.69 |
-| `NER_LOSS` | 237842.15 |
+| `ENTS_F` | 98.84 |
+| `ENTS_P` | 98.99 |
+| `ENTS_R` | 98.69 |
+| `TOK2VEC_LOSS` | 510175.31 |
+| `NER_LOSS` | 282233.89 |

config.cfg

@@ -1,7 +1,7 @@
 [paths]
 train = "./train.spacy"
 dev = "./train.spacy"
-vectors = "en_core_web_lg"
+vectors = null
 init_tok2vec = null
 
 [system]
@@ -53,12 +53,12 @@ factory = "tok2vec"
 width = ${components.tok2vec.model.encode.width}
 attrs = ["NORM","PREFIX","SUFFIX","SHAPE"]
 rows = [5000,1000,2500,2500]
-include_static_vectors = true
+include_static_vectors = false
 
 [components.tok2vec.model.encode]
 @architectures = "spacy.MaxoutWindowEncoder.v2"
-width = 256
-depth = 8
+width = 96
+depth = 4
 window_size = 1
 maxout_pieces = 3
 
@@ -88,7 +88,7 @@ gpu_allocator = ${system.gpu_allocator}
 dropout = 0.1
 accumulate_gradient = 1
 patience = 1600
-max_epochs = 50
+max_epochs = 75
 max_steps = 20000
 eval_frequency = 200
 frozen_components = []

en_t1_pipeline-any-py3-none-any.whl

@@ -1,3 +1,3 @@
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-size 606866597
+oid sha256:fcfa5e39ca1976b388daebb6da59bab5a969d6d9ede50640321ef08434bb3338
+size 5758176

meta.json

@@ -10,10 +10,10 @@
   "spacy_version":">=3.7.2,<3.8.0",
   "spacy_git_version":"a89eae928",
   "vectors":{
-    "width":300,
-    "vectors":514157,
-    "keys":514157,
-    "name":"en_vectors"
+    "width":0,
+    "vectors":0,
+    "keys":0,
+    "name":null
   },
   "labels":{
     "tok2vec":[
@@ -39,29 +39,29 @@
 
   ],
   "performance":{
-    "ents_f":0.9862779829,
-    "ents_p":0.9862148436,
-    "ents_r":0.9863411303,
+    "ents_f":0.9883937159,
+    "ents_p":0.9898959627,
+    "ents_r":0.9868960219,
     "ents_per_type":{
       "Other":{
-        "p":0.9879058979,
-        "r":0.9845620408,
-        "f":0.986231135
+        "p":0.989752913,
+        "r":0.9887723933,
+        "f":0.9892624102
       },
       "treatment":{
-        "p":0.9826889786,
-        "r":0.9906922629,
-        "f":0.9866743917
+        "p":0.9919921875,
+        "r":0.9848749273,
+        "f":0.9884207454
       },
       "chronic_disease":{
-        "p":0.9868540345,
-        "r":0.9855138072,
-        "f":0.9861834655
+        "p":0.9891008174,
+        "r":0.9859665007,
+        "f":0.9875311721
       },
       "cancer":{
-        "p":0.9832439678,
-        "r":0.9872139973,
-        "f":0.9852249832
+        "p":0.9871273713,
+        "r":0.9804845222,
+        "f":0.9837947333
       },
       "allergy_name":{
         "p":0.984375,
@@ -69,8 +69,8 @@
         "f":0.9882352941
       }
     },
-    "tok2vec_loss":553.2069168486,
-    "ner_loss":2378.4214779778
+    "tok2vec_loss":5101.7531072482,
+    "ner_loss":2822.3388507159
   },
   "requirements":[
 

tok2vec/model

@@ -1,3 +1,3 @@
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+size 6009091

vocab/key2row

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

@@ -1,3 +1,3 @@
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vocab/vectors

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