Update spaCy pipeline

.gitattributes

@@ -34,3 +34,5 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
 da_ner-any-py3-none-any.whl filter=lfs diff=lfs merge=lfs -text
 tok2vec/model filter=lfs diff=lfs merge=lfs -text
+vocab/key2row filter=lfs diff=lfs merge=lfs -text
+vocab/vectors filter=lfs diff=lfs merge=lfs -text

README.md

@@ -13,13 +13,13 @@ model-index:
     metrics:
     - name: NER Precision
       type: precision
-      value: 0.93183391
+      value: 0.9393939394
     - name: NER Recall
       type: recall
-      value: 0.9305459572
+      value: 0.9165571616
     - name: NER F Score
       type: f_score
-      value: 0.9311894882
+      value: 0.9278350515
 ---
 | Feature | Description |
 | --- | --- |
@@ -28,7 +28,7 @@ model-index:
 | **spaCy** | `>=3.5.1,<3.6.0` |
 | **Default Pipeline** | `tok2vec`, `ner` |
 | **Components** | `tok2vec`, `ner` |
-| **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
+| **Vectors** | 500000 keys, 20000 unique vectors (300 dimensions) |
 | **Sources** | n/a |
 | **License** | n/a |
 | **Author** | [n/a]() |
@@ -37,11 +37,11 @@ model-index:
 
 <details>
 
-<summary>View label scheme (37 labels for 1 components)</summary>
+<summary>View label scheme (36 labels for 1 components)</summary>
 
 | Component | Labels |
 | --- | --- |
-| **`ner`** | `ADVERTISING`, `AMOUNTS_OF_THE_PRODUCT`, `AVAILABILITY`, `BRANDING`, `CUSTOMERS`, `DISCOUNTS_AND_OFFERS`, `DOCUMENTATION`, `EMPLOYEES`, `EXTERNAL_SUPPLIER`, `EXTERNAL_SUPPLIERS`, `FACILITIES`, `FINANCING`, `HANDLING_OF_SERVICE`, `LEASING`, `LEGAL`, `LOCATIONS`, `LOCATION_IN_THE_STORE`, `LOGISTICS`, `MARKETING`, `MARKET_COVERAGE`, `MEDIA`, `MESSAGES`, `ORGANIZATIONAL_STRUCTURE`, `PAYMENT_TERMS`, `PR`, `PRICE`, `PRICE_STRATEGIES`, `PRODUCT_PROPERTIES`, `PRODUCT_TYPE`, `PRODUCT_WARRANTY`, `REFERENCES`, `RETURN_ON_INVESTMENT`, `SALES_PROCESS`, `SHOWROOM`, `THE_MANAGEMENT`, `UNIFORMITY_IN_DELIVERIES`, `USE_OF_THE_PRODUCT` |
+| **`ner`** | `ADVERTISING`, `AMOUNTS_OF_THE_PRODUCT`, `AVAILABILITY`, `BRANDING`, `CUSTOMERS`, `DISCOUNTS_AND_OFFERS`, `DOCUMENTATION`, `EMPLOYEES`, `EXTERNAL_SUPPLIER`, `FACILITIES`, `FINANCING`, `HANDLING_OF_SERVICE`, `LEASING`, `LEGAL`, `LOCATIONS`, `LOCATION_IN_THE_STORE`, `LOGISTICS`, `MARKETING`, `MARKET_COVERAGE`, `MEDIA`, `MESSAGES`, `ORGANIZATIONAL_STRUCTURE`, `PAYMENT_TERMS`, `PR`, `PRICE`, `PRICE_STRATEGIES`, `PRODUCT_PROPERTIES`, `PRODUCT_TYPE`, `PRODUCT_WARRANTY`, `REFERENCES`, `RETURN_ON_INVESTMENT`, `SALES_PROCESS`, `SHOWROOM`, `THE_MANAGEMENT`, `UNIFORMITY_IN_DELIVERIES`, `USE_OF_THE_PRODUCT` |
 
 </details>
 
@@ -49,8 +49,8 @@ model-index:
 
 | Type | Score |
 | --- | --- |
-| `ENTS_F` | 92.80 |
-| `ENTS_P` | 93.29 |
-| `ENTS_R` | 92.31 |
-| `TOK2VEC_LOSS` | 30474.78 |
-| `NER_LOSS` | 43639.90 |
+| `ENTS_F` | 92.78 |
+| `ENTS_P` | 93.94 |
+| `ENTS_R` | 91.66 |
+| `TOK2VEC_LOSS` | 46222.48 |
+| `NER_LOSS` | 80475.28 |

config.cfg

@@ -1,7 +1,7 @@
 [paths]
 train = "corpus/train.spacy"
 dev = "corpus/dev.spacy"
-vectors = null
+vectors = "da_core_news_md"
 init_tok2vec = null
 
 [system]
@@ -121,7 +121,7 @@ L2 = 0.01
 grad_clip = 1.0
 use_averages = false
 eps = 0.00000001
-learn_rate = 0.0001
+learn_rate = 0.001
 
 [training.score_weights]
 ents_f = 1.0

da_ner-any-py3-none-any.whl

@@ -1,3 +1,3 @@
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-size 5749222
+oid sha256:c7be6771f10c265d797d9c56f404a6f1611f7fe1b89f81effd93bc30dc4d9782
+size 35200137

meta.json

@@ -10,10 +10,10 @@
   "spacy_version":">=3.5.1,<3.6.0",
   "spacy_git_version":"Unknown",
   "vectors":{
-    "width":0,
-    "vectors":0,
-    "keys":0,
-    "name":null
+    "width":300,
+    "vectors":20000,
+    "keys":500000,
+    "name":"da_vectors"
   },
   "labels":{
     "tok2vec":[
@@ -23,6 +23,7 @@
       "ADVERTISING",
       "AMOUNTS_OF_THE_PRODUCT",
       "AVAILABILITY",
+      "BRANDING",
       "CUSTOMERS",
       "DISCOUNTS_AND_OFFERS",
       "DOCUMENTATION",
@@ -69,188 +70,188 @@
 
   ],
   "performance":{
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   "requirements":[
 

ner/moves

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tok2vec/model

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vocab/key2row

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