Update spaCy pipeline

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Files changed (15) hide show

README.md +31 -31
config.cfg +2 -0
la_core_web_sm-any-py3-none-any.whl +2 -2
meta.json +218 -218
morphologizer/cfg +1 -0
morphologizer/model +0 -0
ner/model +1 -1
parser/model +1 -1
tagger/cfg +1 -0
tagger/model +0 -0
tok2vec/model +1 -1
tokenizer +2 -2
trainable_lemmatizer/model +1 -1
trainable_lemmatizer/trees +0 -0
vocab/strings.json +0 -0

README.md CHANGED Viewed

@@ -14,68 +14,68 @@ model-index:
     metrics:
     - name: NER Precision
       type: precision
-      value: 0.8746461151
     - name: NER Recall
       type: recall
-      value: 0.9040806373
     - name: NER F Score
       type: f_score
-      value: 0.8891198337
   - task:
       name: TAG
       type: token-classification
     metrics:
     - name: TAG (XPOS) Accuracy
       type: accuracy
-      value: 0.9319470816
   - task:
       name: POS
       type: token-classification
     metrics:
     - name: POS (UPOS) Accuracy
       type: accuracy
-      value: 0.9662874715
   - task:
       name: MORPH
       type: token-classification
     metrics:
     - name: Morph (UFeats) Accuracy
       type: accuracy
-      value: 0.9149897839
   - task:
       name: LEMMA
       type: token-classification
     metrics:
     - name: Lemma Accuracy
       type: accuracy
-      value: 0.9389273356
   - task:
       name: UNLABELED_DEPENDENCIES
       type: token-classification
     metrics:
     - name: Unlabeled Attachment Score (UAS)
       type: f_score
-      value: 0.827545892
   - task:
       name: LABELED_DEPENDENCIES
       type: token-classification
     metrics:
     - name: Labeled Attachment Score (LAS)
       type: f_score
-      value: 0.7685840298
   - task:
       name: SENTS
       type: token-classification
     metrics:
     - name: Sentences F-Score
       type: f_score
-      value: 0.9323144105
 ---
 | Feature | Description |
 | --- | --- |
 | **Name** | `la_core_web_sm` |
-| **Version** | `3.5.3` |
-| **spaCy** | `>=3.5.3,<3.6.0` |
 | **Default Pipeline** | `normer`, `tok2vec`, `tagger`, `morphologizer`, `trainable_lemmatizer`, `parser`, `lemma_fixer`, `ner` |
 | **Components** | `senter`, `normer`, `tok2vec`, `tagger`, `morphologizer`, `trainable_lemmatizer`, `parser`, `lemma_fixer`, `ner` |
 | **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
@@ -102,22 +102,22 @@ model-index:
 | Type | Score |
 | --- | --- |
-| `ENTS_F` | 88.91 |
-| `ENTS_P` | 87.46 |
-| `ENTS_R` | 90.41 |
-| `NER_LOSS` | 3203.46 |
-| `NER_TOK2VEC_LOSS` | 347.30 |
-| `SENTS_F` | 93.23 |
-| `SENTS_P` | 92.81 |
-| `SENTS_R` | 93.66 |
-| `TAG_ACC` | 93.19 |
-| `POS_ACC` | 96.63 |
-| `MORPH_ACC` | 91.50 |
-| `LEMMA_ACC` | 93.89 |
-| `DEP_UAS` | 82.75 |
-| `DEP_LAS` | 76.86 |
-| `TOK2VEC_LOSS` | 10331562.04 |
-| `TAGGER_LOSS` | 828464.45 |
-| `MORPHOLOGIZER_LOSS` | 1914038.68 |
-| `TRAINABLE_LEMMATIZER_LOSS` | 743941.72 |
-| `PARSER_LOSS` | 6384109.13 |

     metrics:
     - name: NER Precision
       type: precision
+      value: 0.8819063005
     - name: NER Recall
       type: recall
+      value: 0.8874979678
     - name: NER F Score
       type: f_score
+      value: 0.8846932988
   - task:
       name: TAG
       type: token-classification
     metrics:
     - name: TAG (XPOS) Accuracy
       type: accuracy
+      value: 0.9326472298
   - task:
       name: POS
       type: token-classification
     metrics:
     - name: POS (UPOS) Accuracy
       type: accuracy
+      value: 0.966040726
   - task:
       name: MORPH
       type: token-classification
     metrics:
     - name: Morph (UFeats) Accuracy
       type: accuracy
+      value: 0.9160078501
   - task:
       name: LEMMA
       type: token-classification
     metrics:
     - name: Lemma Accuracy
       type: accuracy
+      value: 0.9391795449
   - task:
       name: UNLABELED_DEPENDENCIES
       type: token-classification
     metrics:
     - name: Unlabeled Attachment Score (UAS)
       type: f_score
+      value: 0.8268609683
   - task:
       name: LABELED_DEPENDENCIES
       type: token-classification
     metrics:
     - name: Labeled Attachment Score (LAS)
       type: f_score
+      value: 0.7670731099
   - task:
       name: SENTS
       type: token-classification
     metrics:
     - name: Sentences F-Score
       type: f_score
+      value: 0.9347116431
 ---
 | Feature | Description |
 | --- | --- |
 | **Name** | `la_core_web_sm` |
+| **Version** | `3.6.0` |
+| **spaCy** | `>=3.6.0,<3.7.0` |
 | **Default Pipeline** | `normer`, `tok2vec`, `tagger`, `morphologizer`, `trainable_lemmatizer`, `parser`, `lemma_fixer`, `ner` |
 | **Components** | `senter`, `normer`, `tok2vec`, `tagger`, `morphologizer`, `trainable_lemmatizer`, `parser`, `lemma_fixer`, `ner` |
 | **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
 | Type | Score |
 | --- | --- |
+| `ENTS_F` | 88.47 |
+| `ENTS_P` | 88.19 |
+| `ENTS_R` | 88.75 |
+| `NER_LOSS` | 3457.58 |
+| `NER_TOK2VEC_LOSS` | 688.04 |
+| `SENTS_F` | 93.47 |
+| `SENTS_P` | 92.74 |
+| `SENTS_R` | 94.21 |
+| `TAG_ACC` | 93.26 |
+| `POS_ACC` | 96.60 |
+| `MORPH_ACC` | 91.60 |
+| `LEMMA_ACC` | 93.92 |
+| `DEP_UAS` | 82.69 |
+| `DEP_LAS` | 76.71 |
+| `TOK2VEC_LOSS` | 11801461.08 |
+| `TAGGER_LOSS` | 776892.95 |
+| `MORPHOLOGIZER_LOSS` | 1846359.35 |
+| `TRAINABLE_LEMMATIZER_LOSS` | 718070.58 |
+| `PARSER_LOSS` | 6238007.29 |

config.cfg CHANGED Viewed

@@ -26,6 +26,7 @@ factory = "lemma_fixer"
 [components.morphologizer]
 factory = "morphologizer"
 extend = false
 overwrite = true
 scorer = {"@scorers":"spacy.morphologizer_scorer.v1"}
@@ -125,6 +126,7 @@ maxout_pieces = 2
 [components.tagger]
 factory = "tagger"
 neg_prefix = "!"
 overwrite = false
 scorer = {"@scorers":"spacy.tagger_scorer.v1"}

 [components.morphologizer]
 factory = "morphologizer"
 extend = false
+label_smoothing = 0.0
 overwrite = true
 scorer = {"@scorers":"spacy.morphologizer_scorer.v1"}
 [components.tagger]
 factory = "tagger"
+label_smoothing = 0.0
 neg_prefix = "!"
 overwrite = false
 scorer = {"@scorers":"spacy.tagger_scorer.v1"}

la_core_web_sm-any-py3-none-any.whl CHANGED Viewed

@@ -1,3 +1,3 @@
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+size 16069148

meta.json CHANGED Viewed

@@ -1,14 +1,14 @@
 {
   "lang":"la",
   "name":"core_web_sm",
-  "version":"3.5.3",
   "description":"",
   "author":"Patrick J. Burns; with Nora Bernhardt [ner], Tim Geelhaar [tagger, morphologizer, parser, ner], Vincent Koch [ner]",
   "email":"pjb311@nyu.edu",
   "url":"https://diyclassics.github.io/",
   "license":"MIT",
-  "spacy_version":">=3.5.3,<3.6.0",
-  "spacy_git_version":"512241e12",
   "vectors":{
     "width":0,
     "vectors":0,
@@ -713,299 +713,309 @@
     "senter"
   ],
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-    "parser_loss":63841.0912884058
   },
   "sources":[
     "UD_Latin-Perseus",

 {
   "lang":"la",
   "name":"core_web_sm",
+  "version":"3.6.0",
   "description":"",
   "author":"Patrick J. Burns; with Nora Bernhardt [ner], Tim Geelhaar [tagger, morphologizer, parser, ner], Vincent Koch [ner]",
   "email":"pjb311@nyu.edu",
   "url":"https://diyclassics.github.io/",
   "license":"MIT",
+  "spacy_version":">=3.6.0,<3.7.0",
+  "spacy_git_version":"6fc153a26",
   "vectors":{
     "width":0,
     "vectors":0,
     "senter"
   ],
   "performance":{
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+    "pos_acc":0.966040726,
+    "morph_acc":0.9160078501,
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