Update spaCy pipeline

Browse files

Files changed (14) hide show

README.md +27 -27
accuracy.json +181 -181
config.cfg +5 -4
de_core_news_sm-any-py3-none-any.whl +2 -2
lemmatizer/model +1 -1
meta.json +184 -184
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: 0.8306554986
     - name: NER Recall
       type: recall
-      value: 0.8150296538
     - name: NER F Score
       type: f_score
-      value: 0.8227683922
   - task:
       name: TAG
       type: token-classification
     metrics:
     - name: TAG (XPOS) Accuracy
       type: accuracy
-      value: 0.9738073213
   - task:
       name: POS
       type: token-classification
     metrics:
     - name: POS (UPOS) Accuracy
       type: accuracy
-      value: 0.9801636073
   - task:
       name: MORPH
       type: token-classification
     metrics:
     - name: Morph (UFeats) Accuracy
       type: accuracy
-      value: 0.9075723536
   - task:
       name: LEMMA
       type: token-classification
     metrics:
     - name: Lemma Accuracy
       type: accuracy
-      value: 0.975711605
   - task:
       name: UNLABELED_DEPENDENCIES
       type: token-classification
     metrics:
     - name: Unlabeled Attachment Score (UAS)
       type: f_score
-      value: 0.9210763545
   - task:
       name: LABELED_DEPENDENCIES
       type: token-classification
     metrics:
     - name: Labeled Attachment Score (LAS)
       type: f_score
-      value: 0.9003658436
   - task:
       name: SENTS
       type: token-classification
     metrics:
     - name: Sentences F-Score
       type: f_score
-      value: 0.9376823677
 ---
 ### Details: https://spacy.io/models/de#de_core_news_sm
@@ -78,8 +78,8 @@ German pipeline optimized for CPU. Components: tok2vec, tagger, morphologizer, p
 | Feature | Description |
 | --- | --- |
 | **Name** | `de_core_news_sm` |
-| **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** | 0 keys, 0 unique vectors (0 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` | 97.38 |
-| `POS_ACC` | 98.02 |
-| `MORPH_ACC` | 90.76 |
-| `MORPH_MICRO_P` | 95.09 |
-| `MORPH_MICRO_R` | 95.22 |
-| `MORPH_MICRO_F` | 95.15 |
-| `SENTS_P` | 94.58 |
-| `SENTS_R` | 95.25 |
-| `SENTS_F` | 93.77 |
-| `DEP_UAS` | 92.11 |
-| `DEP_LAS` | 90.04 |
-| `LEMMA_ACC` | 97.57 |
-| `ENTS_P` | 83.07 |
-| `ENTS_R` | 81.50 |
-| `ENTS_F` | 82.28 |

     metrics:
     - name: NER Precision
       type: precision
+      value: 0.8304823051
     - name: NER Recall
       type: recall
+      value: 0.8106276632
     - name: NER F Score
       type: f_score
+      value: 0.8204348804
   - task:
       name: TAG
       type: token-classification
     metrics:
     - name: TAG (XPOS) Accuracy
       type: accuracy
+      value: 0.9738469671
   - task:
       name: POS
       type: token-classification
     metrics:
     - name: POS (UPOS) Accuracy
       type: accuracy
+      value: 0.9801441777
   - task:
       name: MORPH
       type: token-classification
     metrics:
     - name: Morph (UFeats) Accuracy
       type: accuracy
+      value: 0.9065560122
   - task:
       name: LEMMA
       type: token-classification
     metrics:
     - name: Lemma Accuracy
       type: accuracy
+      value: 0.9746015805
   - task:
       name: UNLABELED_DEPENDENCIES
       type: token-classification
     metrics:
     - name: Unlabeled Attachment Score (UAS)
       type: f_score
+      value: 0.9192300179
   - task:
       name: LABELED_DEPENDENCIES
       type: token-classification
     metrics:
     - name: Labeled Attachment Score (LAS)
       type: f_score
+      value: 0.8984777676
   - task:
       name: SENTS
       type: token-classification
     metrics:
     - name: Sentences F-Score
       type: f_score
+      value: 0.937338274
 ---
 ### Details: https://spacy.io/models/de#de_core_news_sm
 | Feature | Description |
 | --- | --- |
 | **Name** | `de_core_news_sm` |
+| **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** | 0 keys, 0 unique vectors (0 dimensions) |
 | Type | Score |
 | --- | --- |
+| `TOKEN_ACC` | 99.96 |
 | `TOKEN_P` | 99.92 |
 | `TOKEN_R` | 99.90 |
 | `TOKEN_F` | 99.91 |
 | `TAG_ACC` | 97.38 |
+| `POS_ACC` | 98.01 |
+| `MORPH_ACC` | 90.66 |
+| `MORPH_MICRO_P` | 95.03 |
+| `MORPH_MICRO_R` | 95.15 |
+| `MORPH_MICRO_F` | 95.09 |
+| `SENTS_P` | 94.27 |
+| `SENTS_R` | 95.28 |
+| `SENTS_F` | 93.73 |
+| `DEP_UAS` | 91.92 |
+| `DEP_LAS` | 89.85 |
+| `LEMMA_ACC` | 97.46 |
+| `ENTS_P` | 83.05 |
+| `ENTS_R` | 81.06 |
+| `ENTS_F` | 82.04 |

accuracy.json CHANGED Viewed

@@ -1,268 +1,268 @@
 {
-  "token_acc": 0.9998017682,
   "token_p": 0.9991808044,
   "token_r": 0.9990356034,
   "token_f": 0.9991081986,
-  "tag_acc": 0.9738073213,
-  "pos_acc": 0.9801636073,
-  "morph_acc": 0.9075723536,
-  "morph_micro_p": 0.9508774779,
-  "morph_micro_r": 0.9521641414,
-  "morph_micro_f": 0.9515203747,
   "morph_per_feat": {
     "Case": {
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-      "r": 0.913574917,
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     },
     "Definite": {
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     },
     "Gender": {
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     },
     "Number": {
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-      "r": 0.9718554552,
-      "f": 0.9709895044
     },
     "PronType": {
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-      "r": 0.9902700073,
-      "f": 0.9915966387
     },
     "Degree": {
-      "p": 0.9767932489,
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-      "f": 0.9732854515
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     "VerbForm": {
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-      "f": 0.9552206789
     },
     "Mood": {
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     },
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-      "r": 0.9600731991,
-      "f": 0.9620738518
     },
     "Reflex": {
       "p": 1.0,
-      "r": 0.9952606635,
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     },
     "Poss": {
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       "r": 1.0,
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     },
     "Foreign": {
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     }
   },
-  "sents_p": 0.9457641371,
-  "sents_r": 0.9525272505,
-  "sents_f": 0.9376823677,
-  "dep_uas": 0.9210763545,
-  "dep_las": 0.9003658436,
   "dep_las_per_type": {
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-    "ams": {
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-      "r": 0.7647058824,
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     },
-    "dep": {
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-    "cvc": {
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     "dm": {
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@@ -278,41 +278,41 @@
       "f": 0.0
     },
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     "ORG": {
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   }
 }

 {
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   "token_p": 0.9991808044,
   "token_r": 0.9990356034,
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