Update spaCy pipeline

README.md

@@ -13,18 +13,18 @@ model-index:
     metrics:
     - name: NER Precision
       type: precision
-      value: 0.3063583815
+      value: 0.3524590164
     - name: NER Recall
       type: recall
-      value: 0.2585365854
+      value: 0.2097560976
     - name: NER F Score
       type: f_score
-      value: 0.2804232804
+      value: 0.2629969419
 ---
 | Feature | Description |
 | --- | --- |
 | **Name** | `en_model_ner_skills` |
-| **Version** | `0.0.0` |
+| **Version** | `0.0.1` |
 | **spaCy** | `>=3.2.1,<3.3.0` |
 | **Default Pipeline** | `tok2vec`, `ner` |
 | **Components** | `tok2vec`, `ner` |
@@ -49,8 +49,8 @@ model-index:
 
 | Type | Score |
 | --- | --- |
-| `ENTS_F` | 28.04 |
-| `ENTS_P` | 30.64 |
-| `ENTS_R` | 25.85 |
-| `TOK2VEC_LOSS` | 134572.33 |
-| `NER_LOSS` | 133266.40 |
+| `ENTS_F` | 26.30 |
+| `ENTS_P` | 35.25 |
+| `ENTS_R` | 20.98 |
+| `TOK2VEC_LOSS` | 435174.75 |
+| `NER_LOSS` | 925698.56 |

config.cfg

@@ -1,5 +1,5 @@
 [paths]
-train = "./train_data.spacy"
+train = "./train_2_0.spacy"
 dev = "./val_data.spacy"
 vectors = null
 init_tok2vec = null
@@ -11,7 +11,7 @@ seed = 0
 [nlp]
 lang = "en"
 pipeline = ["tok2vec","ner"]
-batch_size = 8
+batch_size = 32
 disabled = []
 before_creation = null
 after_creation = null
@@ -87,9 +87,9 @@ gpu_allocator = ${system.gpu_allocator}
 dropout = 0.1
 accumulate_gradient = 1
 patience = 3200
-max_epochs = 100
-max_steps = 20000
-eval_frequency = 200
+max_epochs = 30
+max_steps = 30000
+eval_frequency = 500
 frozen_components = []
 annotating_components = []
 before_to_disk = null

en_model_ner_skills-any-py3-none-any.whl

@@ -1,3 +1,3 @@
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-size 4281444
+oid sha256:0a18e9a2791ed6d0652b67b0458b3ede99100a1a148ef3d67be38ab5d3d91185
+size 4316036

meta.json

@@ -1,7 +1,7 @@
 {
   "lang":"en",
   "name":"model_ner_skills",
-  "version":"0.0.0",
+  "version":"0.0.1",
   "description":"",
   "author":"",
   "email":"",
@@ -35,18 +35,18 @@
 
   ],
   "performance":{
-    "ents_f":0.2804232804,
-    "ents_p":0.3063583815,
-    "ents_r":0.2585365854,
+    "ents_f":0.2629969419,
+    "ents_p":0.3524590164,
+    "ents_r":0.2097560976,
     "ents_per_type":{
       "SKILL":{
-        "p":0.3063583815,
-        "r":0.2585365854,
-        "f":0.2804232804
+        "p":0.3524590164,
+        "r":0.2097560976,
+        "f":0.2629969419
       }
     },
-    "tok2vec_loss":1345.7232555915,
-    "ner_loss":1332.6640465912
+    "tok2vec_loss":4351.7475224104,
+    "ner_loss":9256.9855909426
   },
   "requirements":[
 

ner/model

@@ -1,3 +1,3 @@
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 size 127508

ner/moves

@@ -1 +1 @@
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tok2vec/model

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vocab/strings.json

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