Update spaCy pipeline

README.md

@@ -13,70 +13,70 @@ model-index:
     metrics:
     - name: NER Precision
       type: precision
-      value: 0.875
+      value: 0.0
     - name: NER Recall
       type: recall
-      value: 0.875
+      value: 0.0
     - name: NER F Score
       type: f_score
-      value: 0.875
+      value: 0.0
   - task:
       name: TAG
       type: token-classification
     metrics:
     - name: TAG (XPOS) Accuracy
       type: accuracy
-      value: 0.941681348
+      value: 0.7722642575
   - task:
       name: POS
       type: token-classification
     metrics:
     - name: POS (UPOS) Accuracy
       type: accuracy
-      value: 0.9380674888
+      value: 0.7983014862
   - task:
       name: MORPH
       type: token-classification
     metrics:
     - name: Morph (UFeats) Accuracy
       type: accuracy
-      value: 0.8942196923
+      value: 0.7394741597
   - task:
       name: LEMMA
       type: token-classification
     metrics:
     - name: Lemma Accuracy
       type: accuracy
-      value: 0.977933371
+      value: 0.9766685488
   - task:
       name: UNLABELED_DEPENDENCIES
       type: token-classification
     metrics:
     - name: Unlabeled Attachment Score (UAS)
       type: f_score
-      value: 0.7388287538
+      value: 0.5785607915
   - task:
       name: LABELED_DEPENDENCIES
       type: token-classification
     metrics:
     - name: Labeled Attachment Score (LAS)
       type: f_score
-      value: 0.6687187768
+      value: 0.4840101971
   - task:
       name: SENTS
       type: token-classification
     metrics:
     - name: Sentences F-Score
       type: f_score
-      value: 0.9674523008
+      value: 0.941991342
 ---
 | Feature | Description |
 | --- | --- |
 | **Name** | `grc_perseus_lg` |
-| **Version** | `3.7` |
-| **spaCy** | `>=3.7.2,<3.8.0` |
-| **Default Pipeline** | `tok2vec`, `morphologizer`, `tagger`, `parser`, `lemmatizer`, `attribute_ruler`, `ner` |
-| **Components** | `tok2vec`, `morphologizer`, `tagger`, `parser`, `lemmatizer`, `attribute_ruler`, `ner` |
+| **Version** | `3.7.5` |
+| **spaCy** | `>=3.7.5,<3.8.0` |
+| **Default Pipeline** | `tok2vec`, `morphologizer`, `tagger`, `parser`, `lemmatizer`, `ner`, `attribute_ruler` |
+| **Components** | `tok2vec`, `morphologizer`, `tagger`, `parser`, `lemmatizer`, `ner`, `attribute_ruler` |
 | **Vectors** | -1 keys, 200000 unique vectors (300 dimensions) |
 | **Sources** | n/a |
 | **License** | n/a |
@@ -100,21 +100,21 @@ model-index:
 
 | Type | Score |
 | --- | --- |
-| `POS_ACC` | 80.11 |
-| `MORPH_ACC` | 73.81 |
-| `TAG_ACC` | 77.35 |
-| `DEP_UAS` | 57.96 |
-| `DEP_LAS` | 48.29 |
-| `SENTS_P` | 93.34 |
-| `SENTS_R` | 94.99 |
-| `SENTS_F` | 94.16 |
-| `LEMMA_ACC` | 97.79 |
+| `POS_ACC` | 79.83 |
+| `MORPH_ACC` | 73.95 |
+| `TAG_ACC` | 77.23 |
+| `DEP_UAS` | 57.86 |
+| `DEP_LAS` | 48.40 |
+| `SENTS_P` | 92.75 |
+| `SENTS_R` | 95.69 |
+| `SENTS_F` | 94.20 |
+| `LEMMA_ACC` | 97.67 |
 | `ENTS_F` | 0.00 |
 | `ENTS_P` | 0.00 |
 | `ENTS_R` | 0.00 |
 | `ENTS_PER_TYPE` | 0.00 |
-| `TOK2VEC_LOSS` | 93374817.63 |
-| `MORPHOLOGIZER_LOSS` | 8367939.30 |
-| `TAGGER_LOSS` | 7207426.33 |
-| `PARSER_LOSS` | 11832133.93 |
+| `TOK2VEC_LOSS` | 474361054.54 |
+| `MORPHOLOGIZER_LOSS` | 41731347.69 |
+| `TAGGER_LOSS` | 35952390.56 |
+| `PARSER_LOSS` | 59028447.37 |
 | `NER_LOSS` | 0.00 |

config.cfg

@@ -1,6 +1,6 @@
 [paths]
-train = "corpus/ud/perseus/train"
-dev = "corpus/ud/perseus/dev"
+train = "corpus/train/grc_perseus-ud-train.spacy"
+dev = "corpus/dev/grc_perseus-ud-dev.spacy"
 vectors = "vectors/large"
 init_tok2vec = "data/pretrained_weights/model32.bin"
 raw_text = "raw_text"
@@ -11,7 +11,7 @@ seed = 0
 
 [nlp]
 lang = "grc"
-pipeline = ["tok2vec","morphologizer","tagger","parser","lemmatizer","attribute_ruler","ner"]
+pipeline = ["tok2vec","morphologizer","tagger","parser","lemmatizer","ner","attribute_ruler"]
 batch_size = 128
 disabled = []
 before_creation = null
@@ -180,7 +180,7 @@ accumulate_gradient = 1
 patience = 5000
 max_epochs = 0
 max_steps = 20000
-eval_frequency = 200
+eval_frequency = 1000
 frozen_components = ["lemmatizer"]
 annotating_components = []
 before_to_disk = null

grc_perseus_lg-any-py3-none-any.whl

@@ -1,3 +1,3 @@
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+size 284594384

lemmatizer/model

@@ -1,3 +1,3 @@
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lemmatizer/trees

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+size 6516433

meta.json

@@ -1,14 +1,14 @@
 {
   "lang":"grc",
   "name":"perseus_lg",
-  "version":"3.7",
+  "version":"3.7.5",
   "description":"",
   "author":"",
   "email":"",
   "url":"",
   "license":"",
-  "spacy_version":">=3.7.2,<3.8.0",
-  "spacy_git_version":"a89eae928",
+  "spacy_version":">=3.7.5,<3.8.0",
+  "spacy_git_version":"a6d0fc360",
   "vectors":{
     "width":300,
     "vectors":200000,
@@ -937,15 +937,11 @@
       "vocative",
       "xcomp"
     ],
-    "attribute_ruler":[
+    "ner":[
 
     ],
-    "ner":[
-      "GOD",
-      "LANGUAGE",
-      "LOC",
-      "NORP",
-      "PERSON"
+    "attribute_ruler":[
+
     ]
   },
   "pipeline":[
@@ -954,8 +950,8 @@
     "tagger",
     "parser",
     "lemmatizer",
-    "attribute_ruler",
-    "ner"
+    "ner",
+    "attribute_ruler"
   ],
   "components":[
     "tok2vec",
@@ -963,160 +959,160 @@
     "tagger",
     "parser",
     "lemmatizer",
-    "attribute_ruler",
-    "ner"
+    "ner",
+    "attribute_ruler"
   ],
   "disabled":[
 
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@@ -1124,29 +1120,29 @@
         "f":0.0
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@@ -1154,40 +1150,19 @@
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   "requirements":[
 

ner/moves

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