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JosephSf7
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en_pipeline

Text Classification
spaCy
English
token-classification
Eval Results
Model card Files Community
en_pipeline
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---
tags:
- spacy
- token-classification
- text-classification
language:
- en
model-index:
- name: en_pipeline
  results:
  - task:
      name: NER
      type: token-classification
    metrics:
    - name: NER Precision
      type: precision
      value: 0.9970902037
    - name: NER Recall
      type: recall
      value: 0.9970902037
    - name: NER F Score
      type: f_score
      value: 0.9970902037
  - task:
      name: TAG
      type: token-classification
    metrics:
    - name: TAG (XPOS) Accuracy
      type: accuracy
      value: 0.9993694107
  - task:
      name: POS
      type: token-classification
    metrics:
    - name: POS (UPOS) Accuracy
      type: accuracy
      value: 0.9993694107
  - task:
      name: MORPH
      type: token-classification
    metrics:
    - name: Morph (UFeats) Accuracy
      type: accuracy
      value: 0.9993120844
  - task:
      name: UNLABELED_DEPENDENCIES
      type: token-classification
    metrics:
    - name: Unlabeled Attachment Score (UAS)
      type: f_score
      value: 0.9979572295
  - task:
      name: LABELED_DEPENDENCIES
      type: token-classification
    metrics:
    - name: Labeled Attachment Score (LAS)
      type: f_score
      value: 0.9890201085
  - task:
      name: SENTS
      type: token-classification
    metrics:
    - name: Sentences F-Score
      type: f_score
      value: 1.0
---
| Feature | Description |
| --- | --- |
| **Name** | `en_pipeline` |
| **Version** | `0.0.0` |
| **spaCy** | `>=3.2.3,<3.3.0` |
| **Default Pipeline** | `tok2vec`, `tagger`, `morphologizer`, `parser`, `ner`, `textcat` |
| **Components** | `tok2vec`, `tagger`, `morphologizer`, `parser`, `ner`, `textcat` |
| **Vectors** | 684830 keys, 684830 unique vectors (300 dimensions) |
| **Sources** | n/a |
| **License** | n/a |
| **Author** | [n/a]() |

### Label Scheme

<details>

<summary>View label scheme (197 labels for 5 components)</summary>

| Component | Labels |
| --- | --- |
| **`tagger`** | `$`, `''`, `,`, `-LRB-`, `-RRB-`, `.`, `:`, `CC`, `CD`, `DT`, `EX`, `FW`, `HYPH`, `IN`, `JJ`, `JJR`, `JJS`, `MD`, `NFP`, `NN`, `NNP`, `NNPS`, `NNS`, `PDT`, `POS`, `PRP`, `PRP$`, `RB`, `RBR`, `RBS`, `RP`, `TO`, `UH`, `VB`, `VBD`, `VBG`, `VBN`, `VBP`, `VBZ`, `WDT`, `WP`, `WP$`, `WRB`, `XX`, `_SP`, ```` |
| **`morphologizer`** | `Definite=Def\|POS=DET\|PronType=Art`, `Number=Sing\|POS=NOUN`, `POS=ADP`, `Degree=Pos\|POS=ADJ`, `Number=Plur\|POS=NOUN`, `Number=Sing\|POS=PROPN`, `POS=PUNCT\|PunctSide=Ini\|PunctType=Quot`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=3\|Tense=Pres\|VerbForm=Fin`, `POS=AUX\|Tense=Past\|VerbForm=Part`, `Aspect=Prog\|POS=VERB\|Tense=Pres\|VerbForm=Part`, `POS=ADV`, `POS=VERB\|Tense=Past\|VerbForm=Fin`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=3\|Tense=Past\|VerbForm=Fin`, `Aspect=Perf\|POS=VERB\|Tense=Past\|VerbForm=Part`, `POS=PART`, `POS=PUNCT\|PunctType=Comm`, `POS=PRON`, `POS=SCONJ`, `POS=VERB\|VerbForm=Inf`, `POS=PUNCT\|PunctType=Peri`, `Case=Nom\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Mood=Ind\|POS=AUX\|Tense=Pres\|VerbForm=Fin`, `Degree=Cmp\|POS=ADJ`, `ConjType=Cmp\|POS=CCONJ`, `Number=Sing\|POS=PRON\|PronType=Dem`, `Number=Sing\|POS=VERB\|Person=3\|Tense=Pres\|VerbForm=Fin`, `Number=Plur\|POS=PRON\|Person=1\|Poss=Yes\|PronType=Prs`, `POS=SPACE`, `Definite=Ind\|POS=DET\|PronType=Art`, `Number=Plur\|POS=PRON\|Person=3\|Poss=Yes\|PronType=Prs`, `Mood=Ind\|POS=AUX\|Tense=Past\|VerbForm=Fin`, `POS=PRON\|PronType=Rel`, `Degree=Sup\|POS=ADJ`, `POS=VERB\|Tense=Pres\|VerbForm=Fin`, `POS=AUX\|VerbForm=Fin`, `POS=AUX\|VerbForm=Inf`, `Case=Nom\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs`, `NumType=Card\|POS=NUM`, `Number=Plur\|POS=PROPN`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|Tense=Pres\|VerbForm=Fin`, `Degree=Sup\|POS=ADV`, `POS=PUNCT\|PunctSide=Fin\|PunctType=Quot`, `POS=DET`, `Number=Plur\|POS=DET\|PronType=Dem`, `Case=Acc\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs`, `POS=PUNCT\|PunctType=Dash`, `Degree=Cmp\|POS=ADV`, `Case=Nom\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Number=Sing\|POS=DET\|PronType=Dem`, `POS=AUX\|VerbForm=Ger`, `POS=AUX`, `Case=Nom\|Gender=Neut\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Mood=Ind\|POS=VERB\|Tense=Pres\|VerbForm=Fin`, `Case=Acc\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Acc\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs\|Reflex=Yes`, `Foreign=Yes\|POS=X`, `POS=ADV\|PronType=Dem`, `POS=PART\|Polarity=Neg`, `Number=Plur\|POS=PRON\|PronType=Dem`, `POS=AUX\|Tense=Past\|VerbForm=Fin`, `POS=PUNCT\|PunctSide=Ini\|PunctType=Brck`, `POS=PUNCT\|PunctSide=Fin\|PunctType=Brck`, `Gender=Neut\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Gender=Neut\|Number=Sing\|POS=PRON\|Person=3\|Poss=Yes\|PronType=Prs`, `Degree=Pos\|POS=ADV`, `Mood=Ind\|POS=VERB\|Tense=Past\|VerbForm=Fin`, `Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Nom\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `POS=SYM`, `Number=Sing\|POS=PRON\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Nom\|POS=PRON\|Person=2\|PronType=Prs`, `Case=Nom\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs`, `POS=PUNCT`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|Tense=Past\|VerbForm=Fin`, `Case=Acc\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs`, `Case=Acc\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `POS=AUX\|VerbType=Mod`, `POS=DET\|Poss=Yes`, `Case=Acc\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|Poss=Yes\|PronType=Prs`, `Number=Sing\|POS=PRON\|PronType=Ind`, `Case=Acc\|Gender=Neut\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs\|Reflex=Yes`, `Case=Acc\|Gender=Neut\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `POS=INTJ`, `Case=Acc\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs\|Reflex=Yes`, `NumType=Mult\|POS=ADV`, `POS=PRON\|Person=2\|Poss=Yes\|PronType=Prs`, `Number=Sing\|POS=AUX`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=1\|Tense=Pres\|VerbForm=Fin`, `Case=Acc\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs\|Reflex=Yes`, `Definite=Ind\|POS=PRON\|PronType=Art`, `Aspect=Prog\|POS=AUX\|Tense=Pres\|VerbForm=Part`, `POS=X`, `Case=Acc\|POS=PRON\|Person=2\|PronType=Prs` |
| **`parser`** | `ROOT`, `acl`, `acomp`, `advcl`, `advmod`, `agent`, `amod`, `appos`, `attr`, `aux`, `auxpass`, `case`, `cc`, `ccomp`, `compound`, `conj`, `dep`, `det`, `dobj`, `expl`, `mark`, `neg`, `nmod`, `npadvmod`, `nsubj`, `nsubjpass`, `nummod`, `pcomp`, `pobj`, `poss`, `prep`, `prt`, `punct`, `quantmod`, `relcl`, `xcomp` |
| **`ner`** | `CARDINAL`, `DATE`, `FAC`, `GPE`, `LANGUAGE`, `LOC`, `MONEY`, `NORP`, `ORDINAL`, `ORG`, `PERCENT`, `PERSON`, `PRODUCT`, `QUANTITY`, `TIME`, `WORK_OF_ART` |
| **`textcat`** | `Blaming_Geopolitics`, `Blaming_Government`, `Blaming_Migrants`, `No_Frustration`, `Uses_Infrastructure` |

</details>

### Accuracy

| Type | Score |
| --- | --- |
| `TAG_ACC` | 99.94 |
| `POS_ACC` | 99.94 |
| `MORPH_ACC` | 99.93 |
| `DEP_UAS` | 99.80 |
| `DEP_LAS` | 98.90 |
| `SENTS_P` | 100.00 |
| `SENTS_R` | 100.00 |
| `SENTS_F` | 100.00 |
| `ENTS_F` | 99.71 |
| `ENTS_P` | 99.71 |
| `ENTS_R` | 99.71 |
| `CATS_SCORE` | 99.43 |
| `CATS_MICRO_P` | 99.43 |
| `CATS_MICRO_R` | 99.43 |
| `CATS_MICRO_F` | 99.43 |
| `CATS_MACRO_P` | 99.43 |
| `CATS_MACRO_R` | 99.43 |
| `CATS_MACRO_F` | 99.43 |
| `CATS_MACRO_AUC` | 100.00 |
| `CATS_MACRO_AUC_PER_TYPE` | 0.00 |
| `TOK2VEC_LOSS` | 441813.62 |
| `TAGGER_LOSS` | 3246.21 |
| `MORPHOLOGIZER_LOSS` | 3554.80 |
| `PARSER_LOSS` | 333496.66 |
| `NER_LOSS` | 6933.11 |
| `TEXTCAT_LOSS` | 1.50 |