Update spaCy pipeline

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Files changed (14) hide show

README.md +27 -27
accuracy.json +274 -274
config.cfg +5 -4
fi_core_news_lg-any-py3-none-any.whl +2 -2
lemmatizer/model +1 -1
meta.json +277 -277
morphologizer/model +1 -1
ner/model +2 -2
parser/model +1 -1
senter/model +1 -1
tagger/model +1 -1
tok2vec/model +2 -2
tokenizer +1 -1
vocab/strings.json +2 -2

README.md CHANGED Viewed

@@ -14,62 +14,62 @@ model-index:
     metrics:
     - name: NER Precision
       type: precision
-      value: 0.8323119777
     - name: NER Recall
       type: recall
-      value: 0.8179578429
     - name: NER F Score
       type: f_score
-      value: 0.8250724838
   - task:
       name: TAG
       type: token-classification
     metrics:
     - name: TAG (XPOS) Accuracy
       type: accuracy
-      value: 0.9710267845
   - task:
       name: POS
       type: token-classification
     metrics:
     - name: POS (UPOS) Accuracy
       type: accuracy
-      value: 0.9628515155
   - task:
       name: MORPH
       type: token-classification
     metrics:
     - name: Morph (UFeats) Accuracy
       type: accuracy
-      value: 0.9218019201
   - task:
       name: LEMMA
       type: token-classification
     metrics:
     - name: Lemma Accuracy
       type: accuracy
-      value: 0.8644349413
   - task:
       name: UNLABELED_DEPENDENCIES
       type: token-classification
     metrics:
     - name: Unlabeled Attachment Score (UAS)
       type: f_score
-      value: 0.8344129942
   - task:
       name: LABELED_DEPENDENCIES
       type: token-classification
     metrics:
     - name: Labeled Attachment Score (LAS)
       type: f_score
-      value: 0.7901502344
   - task:
       name: SENTS
       type: token-classification
     metrics:
     - name: Sentences F-Score
       type: f_score
-      value: 0.9048500555
 ---
 ### Details: https://spacy.io/models/fi#fi_core_news_lg
@@ -78,8 +78,8 @@ Finnish pipeline optimized for CPU. Components: tok2vec, tagger, morphologizer,
 | Feature | Description |
 | --- | --- |
 | **Name** | `fi_core_news_lg` |
-| **Version** | `3.4.0` |
-| **spaCy** | `>=3.4.0,<3.5.0` |
 | **Default Pipeline** | `tok2vec`, `tagger`, `morphologizer`, `parser`, `lemmatizer`, `attribute_ruler`, `ner` |
 | **Components** | `tok2vec`, `tagger`, `morphologizer`, `parser`, `lemmatizer`, `senter`, `attribute_ruler`, `ner` |
 | **Vectors** | floret (200000, 300) |
@@ -110,18 +110,18 @@ Finnish pipeline optimized for CPU. Components: tok2vec, tagger, morphologizer,
 | `TOKEN_P` | 99.79 |
 | `TOKEN_R` | 99.90 |
 | `TOKEN_F` | 99.85 |
-| `TAG_ACC` | 97.10 |
-| `POS_ACC` | 96.29 |
-| `MORPH_ACC` | 92.18 |
-| `MORPH_MICRO_P` | 96.19 |
-| `MORPH_MICRO_R` | 95.28 |
-| `MORPH_MICRO_F` | 95.74 |
-| `SENTS_P` | 91.40 |
-| `SENTS_R` | 89.59 |
-| `SENTS_F` | 90.49 |
-| `DEP_UAS` | 83.44 |
-| `DEP_LAS` | 79.02 |
-| `LEMMA_ACC` | 86.44 |
-| `ENTS_P` | 83.23 |
-| `ENTS_R` | 81.80 |
-| `ENTS_F` | 82.51 |

     metrics:
     - name: NER Precision
       type: precision
+      value: 0.8236272879
     - name: NER Recall
       type: recall
+      value: 0.813030386
     - name: NER F Score
       type: f_score
+      value: 0.8182945309
   - task:
       name: TAG
       type: token-classification
     metrics:
     - name: TAG (XPOS) Accuracy
       type: accuracy
+      value: 0.9709439124
   - task:
       name: POS
       type: token-classification
     metrics:
     - name: POS (UPOS) Accuracy
       type: accuracy
+      value: 0.9628474502
   - task:
       name: MORPH
       type: token-classification
     metrics:
     - name: Morph (UFeats) Accuracy
       type: accuracy
+      value: 0.9221890983
   - task:
       name: LEMMA
       type: token-classification
     metrics:
     - name: Lemma Accuracy
       type: accuracy
+      value: 0.8653065672
   - task:
       name: UNLABELED_DEPENDENCIES
       type: token-classification
     metrics:
     - name: Unlabeled Attachment Score (UAS)
       type: f_score
+      value: 0.8371365653
   - task:
       name: LABELED_DEPENDENCIES
       type: token-classification
     metrics:
     - name: Labeled Attachment Score (LAS)
       type: f_score
+      value: 0.7941298453
   - task:
       name: SENTS
       type: token-classification
     metrics:
     - name: Sentences F-Score
       type: f_score
+      value: 0.9083487941
 ---
 ### Details: https://spacy.io/models/fi#fi_core_news_lg
 | Feature | Description |
 | --- | --- |
 | **Name** | `fi_core_news_lg` |
+| **Version** | `3.5.0` |
+| **spaCy** | `>=3.5.0,<3.6.0` |
 | **Default Pipeline** | `tok2vec`, `tagger`, `morphologizer`, `parser`, `lemmatizer`, `attribute_ruler`, `ner` |
 | **Components** | `tok2vec`, `tagger`, `morphologizer`, `parser`, `lemmatizer`, `senter`, `attribute_ruler`, `ner` |
 | **Vectors** | floret (200000, 300) |
 | `TOKEN_P` | 99.79 |
 | `TOKEN_R` | 99.90 |
 | `TOKEN_F` | 99.85 |
+| `TAG_ACC` | 97.09 |
+| `POS_ACC` | 96.28 |
+| `MORPH_ACC` | 92.22 |
+| `MORPH_MICRO_P` | 96.26 |
+| `MORPH_MICRO_R` | 95.17 |
+| `MORPH_MICRO_F` | 95.71 |
+| `SENTS_P` | 91.96 |
+| `SENTS_R` | 89.74 |
+| `SENTS_F` | 90.83 |
+| `DEP_UAS` | 83.71 |
+| `DEP_LAS` | 79.41 |
+| `LEMMA_ACC` | 86.53 |
+| `ENTS_P` | 82.36 |
+| `ENTS_R` | 81.30 |
+| `ENTS_F` | 81.83 |

accuracy.json CHANGED Viewed

@@ -3,77 +3,77 @@
   "token_p": 0.997946327,
   "token_r": 0.998972108,
   "token_f": 0.998458954,
-  "tag_acc": 0.9710267845,
-  "pos_acc": 0.9628515155,
-  "morph_acc": 0.9218019201,
-  "morph_micro_p": 0.9619409639,
-  "morph_micro_r": 0.9528192256,
-  "morph_micro_f": 0.9573583672,
   "morph_per_feat": {
     "Case": {
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-      "f": 0.9659793279
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-      "f": 0.7323943662
     },
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-      "f": 0.8261802575
     },
     "Mood": {
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-      "r": 0.9686780286,
-      "f": 0.9655647383
     },
     "Person": {
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-      "r": 0.9335360556,
-      "f": 0.9305044382
     },
     "Tense": {
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     "VerbForm": {
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-      "r": 0.960420703,
-      "f": 0.961618401
     },
     "Voice": {
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-      "r": 0.9678074246,
-      "f": 0.9683691236
     },
     "Degree": {
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-      "r": 0.9284570208,
-      "f": 0.944082519
     },
     "PartForm": {
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-      "r": 0.8872077029,
-      "f": 0.9039943938
     },
     "Number[psor]": {
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-      "r": 0.828358209,
-      "f": 0.8774703557
     },
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-      "r": 0.8835227273,
-      "f": 0.9187592319
     },
     "AdpType": {
       "p": 0.9700374532,
@@ -81,261 +81,251 @@
       "f": 0.9539594843
     },
     "NumType": {
-      "p": 0.9436325678,
-      "r": 0.9262295082,
-      "f": 0.9348500517
     },
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-      "f": 0.9679743795
     },
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-      "f": 0.1785714286
     },
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-      "f": 0.8238636364
     },
     "Style": {
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       "r": 0.6052631579,
-      "f": 0.696969697
     },
     "InfForm": {
-      "p": 0.9222903885,
       "r": 0.9279835391,
-      "f": 0.9251282051
     },
     "Polarity": {
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     },
     "Connegative": {
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     },
     "Foreign": {
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-      "r": 0.1875,
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     },
     "Reflex": {
       "p": 1.0,
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     }
   },
-  "sents_p": 0.913986537,
-  "sents_r": 0.8958944282,
-  "sents_f": 0.9048500555,
-  "dep_uas": 0.8344129942,
-  "dep_las": 0.7901502344,
   "dep_las_per_type": {
     "root": {
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@@ -347,10 +337,20 @@
       "r": 0.0,
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@@ -358,101 +358,101 @@
       "f": 0.796875
     }
   },
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-  "ents_p": 0.8323119777,
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-  "speed": 7555.8437411058
 }

   "token_p": 0.997946327,
   "token_r": 0.998972108,
   "token_f": 0.998458954,
+  "tag_acc": 0.9709439124,
+  "pos_acc": 0.9628474502,
+  "morph_acc": 0.9221890983,
+  "morph_micro_p": 0.9625528914,
+  "morph_micro_r": 0.9516803793,
+  "morph_micro_f": 0.9570857584,
   "morph_per_feat": {
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