Jacobo commited on Jan 26

Commit

f50fb7b

•

1 Parent(s): 64267e0

Update spaCy pipeline

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Files changed (18) hide show

README.md +42 -24
accuracy.json +119 -115
config.cfg +35 -9
grc_perseus_lg-any-py3-none-any.whl +2 -2
lemmatizer/cfg +0 -0
lemmatizer/model +1 -1
lemmatizer/trees +2 -2
meta.json +154 -119
morphologizer/model +0 -0
ner/cfg +13 -0
ner/model +0 -0
ner/moves +1 -0
parser/model +2 -2
parser/moves +1 -1
tagger/model +0 -0
tok2vec/model +1 -1
tokenizer +2 -2
vocab/strings.json +2 -2

README.md CHANGED Viewed

@@ -7,63 +7,76 @@ language:
 model-index:
 - name: grc_perseus_lg
   results:
   - task:
       name: TAG
       type: token-classification
     metrics:
     - name: TAG (XPOS) Accuracy
       type: accuracy
-      value: 0.9418381406
   - task:
       name: POS
       type: token-classification
     metrics:
     - name: POS (UPOS) Accuracy
       type: accuracy
-      value: 0.9388354339
   - task:
       name: MORPH
       type: token-classification
     metrics:
     - name: Morph (UFeats) Accuracy
       type: accuracy
-      value: 0.8961217898
   - task:
       name: LEMMA
       type: token-classification
     metrics:
     - name: Lemma Accuracy
       type: accuracy
-      value: 0.9773461321
   - task:
       name: UNLABELED_DEPENDENCIES
       type: token-classification
     metrics:
     - name: Unlabeled Attachment Score (UAS)
       type: f_score
-      value: 0.7462060955
   - task:
       name: LABELED_DEPENDENCIES
       type: token-classification
     metrics:
     - name: Labeled Attachment Score (LAS)
       type: f_score
-      value: 0.6756388244
   - task:
       name: SENTS
       type: token-classification
     metrics:
     - name: Sentences F-Score
       type: f_score
-      value: 0.9890302764
 ---
 | Feature | Description |
 | --- | --- |
 | **Name** | `grc_perseus_lg` |
-| **Version** | `3.6.0` |
-| **spaCy** | `>=3.6.0,<3.7.0` |
-| **Default Pipeline** | `tok2vec`, `morphologizer`, `tagger`, `parser`, `lemmatizer`, `attribute_ruler` |
-| **Components** | `tok2vec`, `morphologizer`, `tagger`, `parser`, `lemmatizer`, `attribute_ruler` |
 | **Vectors** | -1 keys, 200000 unique vectors (300 dimensions) |
 | **Sources** | n/a |
 | **License** | n/a |
@@ -87,16 +100,21 @@ model-index:
 | Type | Score |
 | --- | --- |
-| `POS_ACC` | 93.88 |
-| `MORPH_ACC` | 89.61 |
-| `TAG_ACC` | 94.18 |
-| `DEP_UAS` | 74.62 |
-| `DEP_LAS` | 67.56 |
-| `SENTS_P` | 98.69 |
-| `SENTS_R` | 99.12 |
-| `SENTS_F` | 98.90 |
-| `LEMMA_ACC` | 97.73 |
-| `TOK2VEC_LOSS` | 6876120.10 |
-| `MORPHOLOGIZER_LOSS` | 114024.69 |
-| `TAGGER_LOSS` | 41222.97 |
-| `PARSER_LOSS` | 1563937.90 |

 model-index:
 - name: grc_perseus_lg
   results:
+  - task:
+      name: NER
+      type: token-classification
+    metrics:
+    - name: NER Precision
+      type: precision
+      value: 0.875
+    - name: NER Recall
+      type: recall
+      value: 0.875
+    - name: NER F Score
+      type: f_score
+      value: 0.875
   - task:
       name: TAG
       type: token-classification
     metrics:
     - name: TAG (XPOS) Accuracy
       type: accuracy
+      value: 0.941681348
   - task:
       name: POS
       type: token-classification
     metrics:
     - name: POS (UPOS) Accuracy
       type: accuracy
+      value: 0.9380674888
   - task:
       name: MORPH
       type: token-classification
     metrics:
     - name: Morph (UFeats) Accuracy
       type: accuracy
+      value: 0.8942196923
   - task:
       name: LEMMA
       type: token-classification
     metrics:
     - name: Lemma Accuracy
       type: accuracy
+      value: 0.977933371
   - task:
       name: UNLABELED_DEPENDENCIES
       type: token-classification
     metrics:
     - name: Unlabeled Attachment Score (UAS)
       type: f_score
+      value: 0.7388287538
   - task:
       name: LABELED_DEPENDENCIES
       type: token-classification
     metrics:
     - name: Labeled Attachment Score (LAS)
       type: f_score
+      value: 0.6687187768
   - task:
       name: SENTS
       type: token-classification
     metrics:
     - name: Sentences F-Score
       type: f_score
+      value: 0.9674523008
 ---
 | Feature | Description |
 | --- | --- |
 | **Name** | `grc_perseus_lg` |
+| **Version** | `3.7` |
+| **spaCy** | `>=3.7.2,<3.8.0` |
+| **Default Pipeline** | `tok2vec`, `morphologizer`, `tagger`, `parser`, `lemmatizer`, `attribute_ruler`, `ner` |
+| **Components** | `tok2vec`, `morphologizer`, `tagger`, `parser`, `lemmatizer`, `attribute_ruler`, `ner` |
 | **Vectors** | -1 keys, 200000 unique vectors (300 dimensions) |
 | **Sources** | n/a |
 | **License** | n/a |
 | Type | Score |
 | --- | --- |
+| `POS_ACC` | 80.11 |
+| `MORPH_ACC` | 73.81 |
+| `TAG_ACC` | 77.35 |
+| `DEP_UAS` | 57.96 |
+| `DEP_LAS` | 48.29 |
+| `SENTS_P` | 93.34 |
+| `SENTS_R` | 94.99 |
+| `SENTS_F` | 94.16 |
+| `LEMMA_ACC` | 97.79 |
+| `ENTS_F` | 0.00 |
+| `ENTS_P` | 0.00 |
+| `ENTS_R` | 0.00 |
+| `ENTS_PER_TYPE` | 0.00 |
+| `TOK2VEC_LOSS` | 93374817.63 |
+| `MORPHOLOGIZER_LOSS` | 8367939.30 |
+| `TAGGER_LOSS` | 7207426.33 |
+| `PARSER_LOSS` | 11832133.93 |
+| `NER_LOSS` | 0.00 |

accuracy.json CHANGED Viewed

@@ -4,153 +4,153 @@
   "token_r":0.9987117706,
   "token_f":0.998521204,
   "pos_acc":0.9184223712,
-  "morph_acc":0.8819318507,
-  "morph_micro_p":0.9358108769,
-  "morph_micro_r":0.9294808249,
-  "morph_micro_f":0.9326351101,
   "morph_per_feat":{
     "Mood":{
-      "p":0.9355620155,
-      "r":0.9364694471,
-      "f":0.9360155114
     },
     "Number":{
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-      "r":0.9674475205,
-      "f":0.9701407162
     },
     "Person":{
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-      "r":0.8962790698,
-      "f":0.9132701422
     },
     "Tense":{
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-      "r":0.8975321888,
-      "f":0.8968105066
     },
     "VerbForm":{
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       "r":0.9669709989,
-      "f":0.9656744436
     },
     "Voice":{
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-      "f":0.9430371264
     },
     "Case":{
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     "Gender":{
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     },
     "Degree":{
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-      "f":0.3442622951
     }
   },
-  "tag_acc":0.9216893343,
-  "sents_p":0.9785932722,
-  "sents_r":0.9800918836,
-  "sents_f":0.9793420046,
-  "dep_uas":0.7354397675,
-  "dep_las":0.6653928956,
   "dep_las_per_type":{
     "root":{
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     "obl":{
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     "dep":{
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@@ -158,41 +158,45 @@
       "f":0.0
     },
     "acl":{
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-    "nummod":{
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-      "f":0.1538461538
     }
   },
-  "lemma_acc":0.9159609742,
-  "speed":4487.7481716415
 }

   "token_r":0.9987117706,
   "token_f":0.998521204,
   "pos_acc":0.9184223712,
+  "morph_acc":0.8820596025,
+  "morph_micro_p":0.9363154498,
+  "morph_micro_r":0.9304915739,
+  "morph_micro_f":0.9333944274,
   "morph_per_feat":{
     "Mood":{
+      "p":0.9423728814,
+      "r":0.9437439379,
+      "f":0.9430579113
     },
     "Number":{
+      "p":0.97208413,
+      "r":0.9666869486,
+      "f":0.9693780269
     },
     "Person":{
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+      "r":0.903255814,
+      "f":0.9203791469
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     "Tense":{
+      "p":0.8993055556,
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+      "f":0.9012312634
     },
     "VerbForm":{
+      "p":0.9618055556,
       "r":0.9669709989,
+      "f":0.9643813605
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     "Voice":{
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+      "r":0.9420600858,
+      "f":0.9400428266
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     "Case":{
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     "Gender":{
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     "Aspect":{
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     "Degree":{
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+      "f":0.3941605839
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+  "tag_acc":0.923029204,
+  "sents_p":0.9785276074,
+  "sents_r":0.9770290965,
+  "sents_f":0.9777777778,
+  "dep_uas":0.7303908392,
+  "dep_las":0.658172728,
   "dep_las_per_type":{
     "root":{
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     "vocative":{
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+  "lemma_acc":0.9151499249,
+  "ents_p":null,
+  "ents_r":null,
+  "ents_f":null,
+  "ents_per_type":null,
+  "speed":5360.8336652426
 }

config.cfg CHANGED Viewed

@@ -1,6 +1,6 @@
 [paths]
-train = "corpus/train/grc_perseus-ud-train.spacy"
-dev = "corpus/dev/grc_perseus-ud-dev.spacy"
 vectors = "vectors/large"
 init_tok2vec = "data/pretrained_weights/model32.bin"
 raw_text = "raw_text"
@@ -11,13 +11,14 @@ seed = 0
 [nlp]
 lang = "grc"
-pipeline = ["tok2vec","morphologizer","tagger","parser","lemmatizer","attribute_ruler"]
 batch_size = 128
 disabled = []
 before_creation = null
 after_creation = null
 after_pipeline_creation = null
 tokenizer = {"@tokenizers":"spacy.Tokenizer.v1"}
 [components]
@@ -65,6 +66,27 @@ nO = null
 width = ${components.tok2vec.model.encode.width}
 upstream = "tok2vec"
 [components.parser]
 factory = "parser"
 learn_tokens = false
@@ -198,17 +220,21 @@ eps = 0.00000001
 learn_rate = 0.001
 [training.score_weights]
-pos_acc = 0.06
-morph_acc = 0.06
 morph_per_feat = null
-tag_acc = 0.12
-dep_uas = 0.06
-dep_las = 0.06
 dep_las_per_type = null
 sents_p = null
 sents_r = null
 sents_f = null
-lemma_acc = 0.64
 [pretraining]
 max_epochs = 100

 [paths]
+train = "corpus/ud/perseus/train"
+dev = "corpus/ud/perseus/dev"
 vectors = "vectors/large"
 init_tok2vec = "data/pretrained_weights/model32.bin"
 raw_text = "raw_text"
 [nlp]
 lang = "grc"
+pipeline = ["tok2vec","morphologizer","tagger","parser","lemmatizer","attribute_ruler","ner"]
 batch_size = 128
 disabled = []
 before_creation = null
 after_creation = null
 after_pipeline_creation = null
 tokenizer = {"@tokenizers":"spacy.Tokenizer.v1"}
+vectors = {"@vectors":"spacy.Vectors.v1"}
 [components]
 width = ${components.tok2vec.model.encode.width}
 upstream = "tok2vec"
+[components.ner]
+factory = "ner"
+incorrect_spans_key = null
+moves = null
+scorer = {"@scorers":"spacy.ner_scorer.v1"}
+update_with_oracle_cut_size = 100
+[components.ner.model]
+@architectures = "spacy.TransitionBasedParser.v2"
+state_type = "ner"
+extra_state_tokens = false
+hidden_width = 64
+maxout_pieces = 2
+use_upper = true
+nO = null
+[components.ner.model.tok2vec]
+@architectures = "spacy.Tok2VecListener.v1"
+width = ${components.tok2vec.model.encode.width}
+upstream = "tok2vec"
 [components.parser]
 factory = "parser"
 learn_tokens = false
 learn_rate = 0.001
 [training.score_weights]
+pos_acc = 0.04
+morph_acc = 0.04
 morph_per_feat = null
+tag_acc = 0.08
+dep_uas = 0.04
+dep_las = 0.04
 dep_las_per_type = null
 sents_p = null
 sents_r = null
 sents_f = null
+lemma_acc = 0.38
+ents_f = 0.38
+ents_p = 0.0
+ents_r = 0.0
+ents_per_type = null
 [pretraining]
 max_epochs = 100

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meta.json CHANGED Viewed

@@ -1,14 +1,14 @@
 {
   "lang":"grc",
   "name":"perseus_lg",
-  "version":"3.6.0",
   "description":"",
   "author":"",
   "email":"",
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