Update spaCy pipeline

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Files changed (17) hide show

README.md +31 -31
config.cfg +3 -1
la_core_web_lg-any-py3-none-any.whl +2 -2
meta.json +227 -227
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
vocab/vectors +1 -1
vocab/vectors.cfg +2 -1

README.md CHANGED Viewed

@@ -14,68 +14,68 @@ model-index:
     metrics:
     - name: NER Precision
       type: precision
-      value: 0.876076772
     - name: NER Recall
       type: recall
-      value: 0.9424483824
     - name: NER F Score
       type: f_score
-      value: 0.9080513784
   - task:
       name: TAG
       type: token-classification
     metrics:
     - name: TAG (XPOS) Accuracy
       type: accuracy
-      value: 0.9398441366
   - task:
       name: POS
       type: token-classification
     metrics:
     - name: POS (UPOS) Accuracy
       type: accuracy
-      value: 0.9744644193
   - task:
       name: MORPH
       type: token-classification
     metrics:
     - name: Morph (UFeats) Accuracy
       type: accuracy
-      value: 0.9273879987
   - task:
       name: LEMMA
       type: token-classification
     metrics:
     - name: Lemma Accuracy
       type: accuracy
-      value: 0.9460578349
   - task:
       name: UNLABELED_DEPENDENCIES
       type: token-classification
     metrics:
     - name: Unlabeled Attachment Score (UAS)
       type: f_score
-      value: 0.8338847218
   - task:
       name: LABELED_DEPENDENCIES
       type: token-classification
     metrics:
     - name: Labeled Attachment Score (LAS)
       type: f_score
-      value: 0.7757783938
   - task:
       name: SENTS
       type: token-classification
     metrics:
     - name: Sentences F-Score
       type: f_score
-      value: 0.9297789337
 ---
 | Feature | Description |
 | --- | --- |
 | **Name** | `la_core_web_lg` |
-| **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** | -1 keys, 200000 unique vectors (300 dimensions) |
@@ -102,22 +102,22 @@ model-index:
 | Type | Score |
 | --- | --- |
-| `ENTS_F` | 90.81 |
-| `ENTS_P` | 87.61 |
-| `ENTS_R` | 94.24 |
-| `NER_LOSS` | 3678.58 |
-| `NER_TOK2VEC_LOSS` | 367.80 |
-| `SENTS_F` | 92.98 |
-| `SENTS_P` | 91.88 |
-| `SENTS_R` | 94.10 |
-| `TAG_ACC` | 93.98 |
-| `POS_ACC` | 97.45 |
-| `MORPH_ACC` | 92.74 |
-| `LEMMA_ACC` | 94.61 |
-| `DEP_UAS` | 83.39 |
-| `DEP_LAS` | 77.58 |
-| `TOK2VEC_LOSS` | 8866427.14 |
-| `TAGGER_LOSS` | 843356.21 |
-| `MORPHOLOGIZER_LOSS` | 1880822.56 |
-| `TRAINABLE_LEMMATIZER_LOSS` | 739522.22 |
-| `PARSER_LOSS` | 6549783.44 |

     metrics:
     - name: NER Precision
       type: precision
+      value: 0.8514605345
     - name: NER Recall
       type: recall
+      value: 0.8909120468
     - name: NER F Score
       type: f_score
+      value: 0.870739652
   - task:
       name: TAG
       type: token-classification
     metrics:
     - name: TAG (XPOS) Accuracy
       type: accuracy
+      value: 0.9401825693
   - task:
       name: POS
       type: token-classification
     metrics:
     - name: POS (UPOS) Accuracy
       type: accuracy
+      value: 0.9731429254
   - task:
       name: MORPH
       type: token-classification
     metrics:
     - name: Morph (UFeats) Accuracy
       type: accuracy
+      value: 0.9263221764
   - task:
       name: LEMMA
       type: token-classification
     metrics:
     - name: Lemma Accuracy
       type: accuracy
+      value: 0.9449943771
   - task:
       name: UNLABELED_DEPENDENCIES
       type: token-classification
     metrics:
     - name: Unlabeled Attachment Score (UAS)
       type: f_score
+      value: 0.8351146889
   - task:
       name: LABELED_DEPENDENCIES
       type: token-classification
     metrics:
     - name: Labeled Attachment Score (LAS)
       type: f_score
+      value: 0.7773707542
   - task:
       name: SENTS
       type: token-classification
     metrics:
     - name: Sentences F-Score
       type: f_score
+      value: 0.9350168717
 ---
 | Feature | Description |
 | --- | --- |
 | **Name** | `la_core_web_lg` |
+| **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** | -1 keys, 200000 unique vectors (300 dimensions) |
 | Type | Score |
 | --- | --- |
+| `ENTS_F` | 87.07 |
+| `ENTS_P` | 85.15 |
+| `ENTS_R` | 89.09 |
+| `NER_LOSS` | 3678.22 |
+| `NER_TOK2VEC_LOSS` | 465.61 |
+| `SENTS_F` | 93.50 |
+| `SENTS_P` | 92.80 |
+| `SENTS_R` | 94.21 |
+| `TAG_ACC` | 94.02 |
+| `POS_ACC` | 97.31 |
+| `MORPH_ACC` | 92.63 |
+| `LEMMA_ACC` | 94.50 |
+| `DEP_UAS` | 83.51 |
+| `DEP_LAS` | 77.74 |
+| `TOK2VEC_LOSS` | 8559554.71 |
+| `TAGGER_LOSS` | 847388.50 |
+| `MORPHOLOGIZER_LOSS` | 1931285.22 |
+| `TRAINABLE_LEMMATIZER_LOSS` | 775486.73 |
+| `PARSER_LOSS` | 6630748.88 |

config.cfg CHANGED Viewed

@@ -1,7 +1,7 @@
 [paths]
 train = null
 dev = null
-vectors = "training/model-best"
 init_tok2vec = null
 [system]
@@ -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"}

 [paths]
 train = null
 dev = null
+vectors = "training/lg/model-best"
 init_tok2vec = null
 [system]
 [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_lg-any-py3-none-any.whl CHANGED Viewed

@@ -1,3 +1,3 @@
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+oid sha256:bcddf1eac2f108d67c2656589dbc5c023f6f4dd932a913660fd7563164785be9
+size 237063583

meta.json CHANGED Viewed

@@ -1,14 +1,14 @@
 {
   "lang":"la",
   "name":"core_web_lg",
-  "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":300,
     "vectors":200000,
@@ -713,320 +713,325 @@
     "senter"
   ],
   "performance":{
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-    "parser_loss":65497.8343920034
   },
   "sources":[
     "UD_Latin-Perseus",

 {
   "lang":"la",
   "name":"core_web_lg",
+  "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":300,
     "vectors":200000,
     "senter"
   ],
   "performance":{
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+    "sents_f":0.9350168717,
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+    "sents_r":0.9420925642,
+    "tag_acc":0.9401825693,
+    "pos_acc":0.9731429254,
+    "morph_acc":0.9263221764,
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