Update spaCy pipeline

README.md

@@ -13,22 +13,22 @@ model-index:
     metrics:
     - name: NER Precision
       type: precision
-      value: 0.9918793503
+      value: 0.9907894737
     - name: NER Recall
       type: recall
-      value: 0.9965034965
+      value: 0.996031746
     - name: NER F Score
       type: f_score
-      value: 0.9941860465
+      value: 0.9934036939
 ---
 | Feature | Description |
 | --- | --- |
 | **Name** | `en_Spacy_Custom_ner2` |
 | **Version** | `0.0.0` |
-| **spaCy** | `>=3.5.3,<3.6.0` |
+| **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]() |
@@ -37,11 +37,11 @@ model-index:
 
 <details>
 
-<summary>View label scheme (16 labels for 1 components)</summary>
+<summary>View label scheme (14 labels for 1 components)</summary>
 
 | Component | Labels |
 | --- | --- |
-| **`ner`** | `AGENT_FALLBACK`, `BOOK`, `COMODITY`, `CONTAINER COUNT`, `CONTAINER SIZE`, `CONTAINER SIZE-COUNT`, `DESTINATION`, `ENQUIRY`, `HELP`, `INCOTERM`, `KYC`, `ORIGIN`, `SEARCH RATES`, `SHIP`, `SHIPMENT TYPE`, `WELCOME_MSG` |
+| **`ner`** | `BOOK`, `COMODITY`, `CONTAINER COUNT`, `CONTAINER SIZE`, `CONTAINER SIZE-COUNT`, `DESTINATION`, `ENQUIRY`, `HELP`, `INCOTERM`, `KYC`, `ORIGIN`, `SEARCH RATES`, `SHIP`, `SHIPMENT TYPE` |
 
 </details>
 
@@ -49,8 +49,8 @@ model-index:
 
 | Type | Score |
 | --- | --- |
-| `ENTS_F` | 99.42 |
-| `ENTS_P` | 99.19 |
-| `ENTS_R` | 99.65 |
-| `TOK2VEC_LOSS` | 1794.25 |
-| `NER_LOSS` | 53209.43 |
+| `ENTS_F` | 99.34 |
+| `ENTS_P` | 99.08 |
+| `ENTS_R` | 99.60 |
+| `TOK2VEC_LOSS` | 7290.77 |
+| `NER_LOSS` | 70900.21 |

config.cfg

@@ -1,7 +1,7 @@
 [paths]
 train = "./training_data.spacy"
 dev = "./training_data.spacy"
-vectors = "en_core_web_lg"
+vectors = null
 init_tok2vec = null
 
 [system]
@@ -11,12 +11,13 @@ seed = 0
 [nlp]
 lang = "en"
 pipeline = ["tok2vec","ner"]
-batch_size = 100
+batch_size = 1000
 disabled = []
 before_creation = null
 after_creation = null
 after_pipeline_creation = null
 tokenizer = {"@tokenizers":"spacy.Tokenizer.v1"}
+vectors = {"@vectors":"spacy.Vectors.v1"}
 
 [components]
 
@@ -52,12 +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
 

en_Spacy_Custom_ner2-any-py3-none-any.whl

@@ -1,3 +1,3 @@
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+size 5688225

meta.json

@@ -7,20 +7,19 @@
   "email":"",
   "url":"",
   "license":"",
-  "spacy_version":">=3.5.3,<3.6.0",
-  "spacy_git_version":"Unknown",
+  "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":[
 
     ],
     "ner":[
-      "AGENT_FALLBACK",
       "BOOK",
       "COMODITY",
       "CONTAINER COUNT",
@@ -34,8 +33,7 @@
       "ORIGIN",
       "SEARCH RATES",
       "SHIP",
-      "SHIPMENT TYPE",
-      "WELCOME_MSG"
+      "SHIPMENT TYPE"
     ]
   },
   "pipeline":[
@@ -50,24 +48,29 @@
 
   ],
   "performance":{
-    "ents_f":0.9941860465,
-    "ents_p":0.9918793503,
-    "ents_r":0.9965034965,
+    "ents_f":0.9934036939,
+    "ents_p":0.9907894737,
+    "ents_r":0.996031746,
     "ents_per_type":{
-      "SEARCH RATES":{
+      "ORIGIN":{
         "p":1.0,
         "r":1.0,
         "f":1.0
       },
-      "ORIGIN":{
+      "DESTINATION":{
+        "p":0.995,
+        "r":0.995,
+        "f":0.995
+      },
+      "SHIPMENT TYPE":{
         "p":1.0,
         "r":1.0,
         "f":1.0
       },
-      "DESTINATION":{
-        "p":0.9903846154,
+      "SEARCH RATES":{
+        "p":1.0,
         "r":1.0,
-        "f":0.9951690821
+        "f":1.0
       },
       "BOOK":{
         "p":1.0,
@@ -75,24 +78,19 @@
         "f":1.0
       },
       "SHIP":{
-        "p":0.987804878,
+        "p":0.987654321,
         "r":1.0,
-        "f":0.9938650307
+        "f":0.9937888199
       },
       "CONTAINER SIZE":{
-        "p":0.9905660377,
-        "r":0.9905660377,
-        "f":0.9905660377
-      },
-      "SHIPMENT TYPE":{
         "p":1.0,
-        "r":1.0,
-        "f":1.0
+        "r":0.9795918367,
+        "f":0.9896907216
       },
       "ENQUIRY":{
-        "p":0.8823529412,
+        "p":0.875,
         "r":1.0,
-        "f":0.9375
+        "f":0.9333333333
       },
       "HELP":{
         "p":1.0,
@@ -110,9 +108,9 @@
         "f":1.0
       },
       "COMODITY":{
-        "p":0.9523809524,
-        "r":0.9523809524,
-        "f":0.9523809524
+        "p":0.9130434783,
+        "r":1.0,
+        "f":0.9545454545
       },
       "CONTAINER COUNT":{
         "p":1.0,
@@ -120,23 +118,13 @@
         "f":1.0
       },
       "CONTAINER SIZE-COUNT":{
-        "p":1.0,
-        "r":0.9615384615,
-        "f":0.9803921569
-      },
-      "AGENT_FALLBACK":{
-        "p":1.0,
+        "p":0.962962963,
         "r":1.0,
-        "f":1.0
-      },
-      "WELCOME_MSG":{
-        "p":1.0,
-        "r":1.0,
-        "f":1.0
+        "f":0.9811320755
       }
     },
-    "tok2vec_loss":17.9424619099,
-    "ner_loss":532.0943451776
+    "tok2vec_loss":72.9077196514,
+    "ner_loss":709.0020859699
   },
   "requirements":[
 

ner/moves

@@ -1 +1 @@
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tok2vec/model

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vocab/key2row

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vocab/vectors

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