Update spaCy pipeline

Browse files

Files changed (14) hide show

README.md +28 -28
accuracy.json +175 -175
config.cfg +5 -4
de_core_news_md-any-py3-none-any.whl +2 -2
lemmatizer/model +1 -1
meta.json +178 -178
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: 0.8451381736
     - name: NER Recall
       type: recall
-      value: 0.8362589585
     - name: NER F Score
       type: f_score
-      value: 0.8406751211
   - task:
       name: TAG
       type: token-classification
     metrics:
     - name: TAG (XPOS) Accuracy
       type: accuracy
-      value: 0.9779833488
   - task:
       name: POS
       type: token-classification
     metrics:
     - name: POS (UPOS) Accuracy
       type: accuracy
-      value: 0.9834280428
   - task:
       name: MORPH
       type: token-classification
     metrics:
     - name: Morph (UFeats) Accuracy
       type: accuracy
-      value: 0.916611603
   - task:
       name: LEMMA
       type: token-classification
     metrics:
     - name: Lemma Accuracy
       type: accuracy
-      value: 0.9767819859
   - task:
       name: UNLABELED_DEPENDENCIES
       type: token-classification
     metrics:
     - name: Unlabeled Attachment Score (UAS)
       type: f_score
-      value: 0.9248799838
   - task:
       name: LABELED_DEPENDENCIES
       type: token-classification
     metrics:
     - name: Labeled Attachment Score (LAS)
       type: f_score
-      value: 0.9052416477
   - task:
       name: SENTS
       type: token-classification
     metrics:
     - name: Sentences F-Score
       type: f_score
-      value: 0.9462209302
 ---
 ### Details: https://spacy.io/models/de#de_core_news_md
@@ -78,8 +78,8 @@ German pipeline optimized for CPU. Components: tok2vec, tagger, morphologizer, p
 | Feature | Description |
 | --- | --- |
 | **Name** | `de_core_news_md` |
-| **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** | 500000 keys, 20000 unique vectors (300 dimensions) |
@@ -106,22 +106,22 @@ German pipeline optimized for CPU. Components: tok2vec, tagger, morphologizer, p
 | Type | Score |
 | --- | --- |
-| `TOKEN_ACC` | 99.98 |
 | `TOKEN_P` | 99.92 |
 | `TOKEN_R` | 99.90 |
 | `TOKEN_F` | 99.91 |
-| `TAG_ACC` | 97.80 |
-| `POS_ACC` | 98.34 |
-| `MORPH_ACC` | 91.66 |
-| `MORPH_MICRO_P` | 95.72 |
-| `MORPH_MICRO_R` | 95.72 |
-| `MORPH_MICRO_F` | 95.72 |
-| `SENTS_P` | 95.08 |
-| `SENTS_R` | 95.75 |
-| `SENTS_F` | 94.62 |
-| `DEP_UAS` | 92.49 |
-| `DEP_LAS` | 90.52 |
-| `LEMMA_ACC` | 97.68 |
-| `ENTS_P` | 84.51 |
-| `ENTS_R` | 83.63 |
-| `ENTS_F` | 84.07 |

     metrics:
     - name: NER Precision
       type: precision
+      value: 0.8439391945
     - name: NER Recall
       type: recall
+      value: 0.8342856523
     - name: NER F Score
       type: f_score
+      value: 0.8390846587
   - task:
       name: TAG
       type: token-classification
     metrics:
     - name: TAG (XPOS) Accuracy
       type: accuracy
+      value: 0.9781087492
   - task:
       name: POS
       type: token-classification
     metrics:
     - name: POS (UPOS) Accuracy
       type: accuracy
+      value: 0.9829388521
   - task:
       name: MORPH
       type: token-classification
     metrics:
     - name: Morph (UFeats) Accuracy
       type: accuracy
+      value: 0.9150510777
   - task:
       name: LEMMA
       type: token-classification
     metrics:
     - name: Lemma Accuracy
       type: accuracy
+      value: 0.9769605349
   - task:
       name: UNLABELED_DEPENDENCIES
       type: token-classification
     metrics:
     - name: Unlabeled Attachment Score (UAS)
       type: f_score
+      value: 0.9254139496
   - task:
       name: LABELED_DEPENDENCIES
       type: token-classification
     metrics:
     - name: Labeled Attachment Score (LAS)
       type: f_score
+      value: 0.9056705833
   - task:
       name: SENTS
       type: token-classification
     metrics:
     - name: Sentences F-Score
       type: f_score
+      value: 0.9507828582
 ---
 ### Details: https://spacy.io/models/de#de_core_news_md
 | Feature | Description |
 | --- | --- |
 | **Name** | `de_core_news_md` |
+| **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** | 500000 keys, 20000 unique vectors (300 dimensions) |
 | Type | Score |
 | --- | --- |
+| `TOKEN_ACC` | 99.96 |
 | `TOKEN_P` | 99.92 |
 | `TOKEN_R` | 99.90 |
 | `TOKEN_F` | 99.91 |
+| `TAG_ACC` | 97.81 |
+| `POS_ACC` | 98.29 |
+| `MORPH_ACC` | 91.51 |
+| `MORPH_MICRO_P` | 95.69 |
+| `MORPH_MICRO_R` | 95.61 |
+| `MORPH_MICRO_F` | 95.65 |
+| `SENTS_P` | 95.41 |
+| `SENTS_R` | 96.22 |
+| `SENTS_F` | 95.08 |
+| `DEP_UAS` | 92.54 |
+| `DEP_LAS` | 90.57 |
+| `LEMMA_ACC` | 97.70 |
+| `ENTS_P` | 84.39 |
+| `ENTS_R` | 83.43 |
+| `ENTS_F` | 83.91 |

accuracy.json CHANGED Viewed

@@ -1,186 +1,181 @@
 {
-  "token_acc": 0.9998017682,
   "token_p": 0.9991808044,
   "token_r": 0.9990356034,
   "token_f": 0.9991081986,
-  "tag_acc": 0.9779833488,
-  "pos_acc": 0.9834280428,
-  "morph_acc": 0.916611603,
-  "morph_micro_p": 0.9571762082,
-  "morph_micro_r": 0.957181767,
-  "morph_micro_f": 0.9571789876,
   "morph_per_feat": {
     "Case": {
-      "p": 0.9193075038,
-      "r": 0.9212919241,
-      "f": 0.9202986442
     },
     "Definite": {
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-      "f": 0.9964668338
     },
     "Gender": {
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-      "r": 0.9458399187,
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     },
     "Number": {
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-      "r": 0.9757007181,
-      "f": 0.9752601906
     },
     "PronType": {
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-      "r": 0.9904321738,
-      "f": 0.9918395518
     },
     "Degree": {
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-      "r": 0.9759120265,
-      "f": 0.9784739237
     },
     "VerbForm": {
-      "p": 0.9590348525,
-      "r": 0.9602705895,
-      "f": 0.9596523232
     },
     "Mood": {
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-      "r": 0.9618637042,
-      "f": 0.9655459387
     },
     "Person": {
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-      "r": 0.9714088398,
-      "f": 0.974437132
     },
     "Tense": {
-      "p": 0.9701642642,
-      "r": 0.9629013475,
-      "f": 0.9665191617
     },
     "Reflex": {
       "p": 1.0,
-      "r": 0.9928909953,
-      "f": 0.9964328181
     },
     "Poss": {
-      "p": 1.0,
-      "r": 0.9979338843,
-      "f": 0.9989658738
     },
     "Foreign": {
-      "p": 0.7027027027,
-      "r": 0.1306532663,
-      "f": 0.2203389831
     }
   },
-  "sents_p": 0.9507615272,
-  "sents_r": 0.9574723286,
-  "sents_f": 0.9462209302,
-  "dep_uas": 0.9248799838,
-  "dep_las": 0.9052416477,
   "dep_las_per_type": {
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       "r": 0.9616087751,
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     "pm": {
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     "nmc": {
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-      "r": 0.9794628752,
-      "f": 0.9786898185
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     "oa": {
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-      "r": 0.878298153,
-      "f": 0.8665798894
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     "pd": {
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       "r": 0.8571428571,
-      "f": 0.8669201521
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-      "r": 0.8695090439,
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     "cj": {
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-      "r": 0.8481262327,
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@@ -188,81 +183,86 @@
       "f": 0.8712241653
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       "r": 0.3,
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     "ams": {
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-    "dm": {
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-    "dep": {
       "p": 0.0,
       "r": 0.0,
       "f": 0.0
@@ -278,9 +278,9 @@
       "f": 0.0
     },
     "og": {
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     },
     "adc": {
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@@ -288,31 +288,31 @@
       "f": 1.0
     }
   },
-  "lemma_acc": 0.9767819859,
-  "speed": 9112.492024121,
-  "ents_p": 0.8451381736,
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     "ORG": {
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     }
   }
 }

 {
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   "token_p": 0.9991808044,
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