Update spaCy pipeline

README.md

@@ -13,13 +13,13 @@ model-index:
     metrics:
     - name: NER Precision
       type: precision
-      value: 0.9751660457
+      value: 0.9654293323
     - name: NER Recall
       type: recall
-      value: 0.9701369863
+      value: 0.958178888
     - name: NER F Score
       type: f_score
-      value: 0.9726450153
+      value: 0.961790446
 ---
 | Feature | Description |
 | --- | --- |
@@ -49,8 +49,8 @@ model-index:
 
 | Type | Score |
 | --- | --- |
-| `ENTS_F` | 97.26 |
-| `ENTS_P` | 97.52 |
-| `ENTS_R` | 97.01 |
-| `TOK2VEC_LOSS` | 1007657.62 |
-| `NER_LOSS` | 578402.11 |
+| `ENTS_F` | 96.18 |
+| `ENTS_P` | 96.54 |
+| `ENTS_R` | 95.82 |
+| `TOK2VEC_LOSS` | 779912.20 |
+| `NER_LOSS` | 745263.98 |

config.cfg

@@ -11,7 +11,7 @@ seed = 0
 [nlp]
 lang = "en"
 pipeline = ["tok2vec","ner"]
-batch_size = 1000
+batch_size = 256
 disabled = []
 before_creation = null
 after_creation = null
@@ -88,7 +88,7 @@ gpu_allocator = ${system.gpu_allocator}
 dropout = 0.1
 accumulate_gradient = 1
 patience = 1600
-max_epochs = 0
+max_epochs = 50
 max_steps = 20000
 eval_frequency = 200
 frozen_components = []

en_comb_pipeline-any-py3-none-any.whl

@@ -1,3 +1,3 @@
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-size 5792555
+oid sha256:0cbb57450055f45395e72d5b182ae05db15f57ac9b34d2009676c63dcce72e1d
+size 5792877

meta.json

@@ -39,38 +39,38 @@
 
   ],
   "performance":{
-    "ents_f":0.9726450153,
-    "ents_p":0.9751660457,
-    "ents_r":0.9701369863,
+    "ents_f":0.961790446,
+    "ents_p":0.9654293323,
+    "ents_r":0.958178888,
     "ents_per_type":{
       "treatment":{
-        "p":0.9815890742,
-        "r":0.9714733776,
-        "f":0.9765050293
+        "p":0.9704688909,
+        "r":0.9644537376,
+        "f":0.9674519645
       },
       "Other":{
-        "p":0.9758625008,
-        "r":0.9748858447,
-        "f":0.9753739283
+        "p":0.9672810626,
+        "r":0.9634390442,
+        "f":0.9653562307
       },
       "chronic_disease":{
-        "p":0.9724161417,
-        "r":0.956456205,
-        "f":0.9643701452
+        "p":0.9596774194,
+        "r":0.9366940211,
+        "f":0.9480464446
       },
       "cancer":{
-        "p":0.9567164179,
-        "r":0.9692540323,
-        "f":0.9629444166
+        "p":0.9527381845,
+        "r":0.9601814516,
+        "f":0.956445337
       },
       "allergy_name":{
-        "p":0.9739921977,
-        "r":0.9664516129,
-        "f":0.9702072539
+        "p":0.9547803618,
+        "r":0.9535483871,
+        "f":0.9541639768
       }
     },
-    "tok2vec_loss":10076.57620852,
-    "ner_loss":5784.0210690851
+    "tok2vec_loss":7799.1219842511,
+    "ner_loss":7452.6397603494
   },
   "requirements":[
 

tok2vec/model

@@ -1,3 +1,3 @@
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+oid sha256:dfe869c1ad7a4f535e69a2a7ebf65b3877d8ce471c5ca0ce7c72297814aec0ab
 size 6009091