Add nl_udv25_dutchlassysmall_trf-0.0.1

.gitattributes

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 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zstandard filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+*.whl filter=lfs diff=lfs merge=lfs -text
+*.npz filter=lfs diff=lfs merge=lfs -text
+*strings.json filter=lfs diff=lfs merge=lfs -text
+vectors filter=lfs diff=lfs merge=lfs -text
+model filter=lfs diff=lfs merge=lfs -text

LICENSE.txt

@@ -0,0 +1,7 @@
+Lassy Small (Wikipedia section) with Universal Dependencies (UD_Dutch-LassySmall) is distributed
+under the Creative Commons Attribution-ShareAlike 4.0 International license (CC BY-SA 4.0)
+
+For informal information please see here:
+http://creativecommons.org/licenses/by-nc-sa/4.0/.
+For formal representation please see here:
+http://creativecommons.org/licenses/by-nc-sa/4.0/legalcode.

README.md

@@ -0,0 +1,108 @@
+---
+tags:
+- spacy
+- token-classification
+language:
+- nl
+license: cc-by-sa-4.0
+model-index:
+- name: nl_udv25_dutchlassysmall_trf
+  results:
+  - task:
+      name: TAG
+      type: token-classification
+    metrics:
+    - name: TAG (XPOS) Accuracy
+      type: accuracy
+      value: 0.9592982456
+  - task:
+      name: POS
+      type: token-classification
+    metrics:
+    - name: POS (UPOS) Accuracy
+      type: accuracy
+      value: 0.9636842105
+  - task:
+      name: MORPH
+      type: token-classification
+    metrics:
+    - name: Morph (UFeats) Accuracy
+      type: accuracy
+      value: 0.9772747214
+  - task:
+      name: LEMMA
+      type: token-classification
+    metrics:
+    - name: Lemma Accuracy
+      type: accuracy
+      value: 0.9670628481
+  - task:
+      name: UNLABELED_DEPENDENCIES
+      type: token-classification
+    metrics:
+    - name: Unlabeled Attachment Score (UAS)
+      type: f_score
+      value: 0.9022862512
+  - task:
+      name: LABELED_DEPENDENCIES
+      type: token-classification
+    metrics:
+    - name: Labeled Attachment Score (LAS)
+      type: f_score
+      value: 0.8620941643
+  - task:
+      name: SENTS
+      type: token-classification
+    metrics:
+    - name: Sentences F-Score
+      type: f_score
+      value: 0.9183673469
+---
+UD v2.5 benchmarking pipeline for UD_Dutch-LassySmall
+
+| Feature | Description |
+| --- | --- |
+| **Name** | `nl_udv25_dutchlassysmall_trf` |
+| **Version** | `0.0.1` |
+| **spaCy** | `>=3.2.1,<3.3.0` |
+| **Default Pipeline** | `experimental_char_ner_tokenizer`, `transformer`, `tagger`, `morphologizer`, `parser`, `experimental_edit_tree_lemmatizer` |
+| **Components** | `experimental_char_ner_tokenizer`, `transformer`, `senter`, `tagger`, `morphologizer`, `parser`, `experimental_edit_tree_lemmatizer` |
+| **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
+| **Sources** | [Universal Dependencies v2.5](https://lindat.mff.cuni.cz/repository/xmlui/handle/11234/1-3105) (Zeman, Daniel; et al.) |
+| **License** | `CC BY-SA 4.0` |
+| **Author** | [Explosion](https://explosion.ai) |
+
+### Label Scheme
+
+<details>
+
+<summary>View label scheme (1070 labels for 6 components)</summary>
+
+| Component | Labels |
+| --- | --- |
+| **`experimental_char_ner_tokenizer`** | `TOKEN` |
+| **`senter`** | `I`, `S` |
+| **`tagger`** | `ADJ\|nom\|basis\|met-e\|mv-n`, `ADJ\|nom\|basis\|met-e\|zonder-n\|bijz`, `ADJ\|nom\|basis\|met-e\|zonder-n\|stan`, `ADJ\|nom\|basis\|zonder\|mv-n`, `ADJ\|nom\|basis\|zonder\|zonder-n`, `ADJ\|nom\|comp\|met-e\|mv-n`, `ADJ\|nom\|sup\|met-e\|mv-n`, `ADJ\|nom\|sup\|met-e\|zonder-n\|stan`, `ADJ\|nom\|sup\|zonder\|zonder-n`, `ADJ\|postnom\|basis\|zonder`, `ADJ\|prenom\|basis\|met-e\|bijz`, `ADJ\|prenom\|basis\|met-e\|stan`, `ADJ\|prenom\|basis\|zonder`, `ADJ\|prenom\|comp\|met-e\|stan`, `ADJ\|prenom\|comp\|zonder`, `ADJ\|prenom\|sup\|met-e\|stan`, `ADJ\|vrij\|basis\|zonder`, `ADJ\|vrij\|comp\|zonder`, `ADJ\|vrij\|sup\|zonder`, `BW`, `LET`, `LID\|bep\|gen\|evmo`, `LID\|bep\|gen\|rest3`, `LID\|bep\|stan\|evon`, `LID\|bep\|stan\|rest`, `LID\|onbep\|stan\|agr`, `N\|eigen\|ev\|basis\|gen`, `N\|eigen\|ev\|basis\|genus\|stan`, `N\|eigen\|ev\|basis\|onz\|stan`, `N\|eigen\|ev\|basis\|zijd\|stan`, `N\|eigen\|ev\|dim\|onz\|stan`, `N\|eigen\|mv\|basis`, `N\|soort\|ev\|basis\|dat`, `N\|soort\|ev\|basis\|gen`, `N\|soort\|ev\|basis\|genus\|stan`, `N\|soort\|ev\|basis\|onz\|stan`, `N\|soort\|ev\|basis\|zijd\|stan`, `N\|soort\|ev\|dim\|onz\|stan`, `N\|soort\|mv\|basis`, `N\|soort\|mv\|dim`, `SPEC\|afgebr`, `SPEC\|afk`, `SPEC\|deeleigen`, `SPEC\|enof`, `SPEC\|symb`, `SPEC\|vreemd`, `TSW`, `TW\|hoofd\|nom\|mv-n\|basis`, `TW\|hoofd\|nom\|zonder-n\|basis`, `TW\|hoofd\|nom\|zonder-n\|dim`, `TW\|hoofd\|prenom\|stan`, `TW\|hoofd\|vrij`, `TW\|rang\|nom\|zonder-n`, `TW\|rang\|prenom\|stan`, `VG\|neven`, `VG\|onder`, `VNW\|aanw\|adv-pron\|obl\|vol\|3o\|getal`, `VNW\|aanw\|adv-pron\|stan\|red\|3\|getal`, `VNW\|aanw\|det\|stan\|nom\|met-e\|mv-n`, `VNW\|aanw\|det\|stan\|nom\|met-e\|zonder-n`, `VNW\|aanw\|det\|stan\|prenom\|met-e\|rest`, `VNW\|aanw\|det\|stan\|prenom\|zonder\|agr`, `VNW\|aanw\|det\|stan\|prenom\|zonder\|evon`, `VNW\|aanw\|det\|stan\|prenom\|zonder\|rest`, `VNW\|aanw\|pron\|gen\|vol\|3m\|ev`, `VNW\|aanw\|pron\|stan\|vol\|3o\|ev`, `VNW\|aanw\|pron\|stan\|vol\|3\|getal`, `VNW\|betr\|det\|stan\|nom\|zonder\|zonder-n`, `VNW\|betr\|pron\|stan\|vol\|3\|ev`, `VNW\|betr\|pron\|stan\|vol\|persoon\|getal`, `VNW\|bez\|det\|stan\|red\|3\|ev\|prenom\|zonder\|agr`, `VNW\|bez\|det\|stan\|vol\|1\|ev\|prenom\|zonder\|agr`, `VNW\|bez\|det\|stan\|vol\|1\|mv\|prenom\|met-e\|rest`, `VNW\|bez\|det\|stan\|vol\|1\|mv\|prenom\|zonder\|evon`, `VNW\|bez\|det\|stan\|vol\|2\|getal\|prenom\|zonder\|agr`, `VNW\|bez\|det\|stan\|vol\|3m\|ev\|prenom\|met-e\|rest`, `VNW\|bez\|det\|stan\|vol\|3p\|mv\|prenom\|met-e\|rest`, `VNW\|bez\|det\|stan\|vol\|3v\|ev\|prenom\|met-e\|rest`, `VNW\|bez\|det\|stan\|vol\|3\|ev\|prenom\|zonder\|agr`, `VNW\|bez\|det\|stan\|vol\|3\|mv\|prenom\|zonder\|agr`, `VNW\|onbep\|adv-pron\|obl\|vol\|3o\|getal`, `VNW\|onbep\|det\|stan\|nom\|met-e\|mv-n`, `VNW\|onbep\|det\|stan\|nom\|met-e\|zonder-n`, `VNW\|onbep\|det\|stan\|prenom\|met-e\|agr`, `VNW\|onbep\|det\|stan\|prenom\|met-e\|evz`, `VNW\|onbep\|det\|stan\|prenom\|met-e\|mv`, `VNW\|onbep\|det\|stan\|prenom\|met-e\|rest`, `VNW\|onbep\|det\|stan\|prenom\|zonder\|agr`, `VNW\|onbep\|det\|stan\|prenom\|zonder\|evon`, `VNW\|onbep\|det\|stan\|vrij\|zonder`, `VNW\|onbep\|grad\|gen\|nom\|met-e\|mv-n\|basis`, `VNW\|onbep\|grad\|stan\|nom\|met-e\|mv-n\|basis`, `VNW\|onbep\|grad\|stan\|nom\|met-e\|zonder-n\|basis`, `VNW\|onbep\|grad\|stan\|nom\|met-e\|zonder-n\|sup`, `VNW\|onbep\|grad\|stan\|prenom\|met-e\|agr\|basis`, `VNW\|onbep\|grad\|stan\|prenom\|met-e\|agr\|sup`, `VNW\|onbep\|grad\|stan\|prenom\|met-e\|mv\|basis`, `VNW\|onbep\|grad\|stan\|prenom\|zonder\|agr\|basis`, `VNW\|onbep\|grad\|stan\|prenom\|zonder\|agr\|comp`, `VNW\|onbep\|grad\|stan\|vrij\|zonder\|basis`, `VNW\|onbep\|grad\|stan\|vrij\|zonder\|comp`, `VNW\|onbep\|grad\|stan\|vrij\|zonder\|sup`, `VNW\|onbep\|pron\|stan\|vol\|3o\|ev`, `VNW\|onbep\|pron\|stan\|vol\|3p\|ev`, `VNW\|pers\|pron\|nomin\|nadr\|3v\|ev\|fem`, `VNW\|pers\|pron\|nomin\|red\|1\|mv`, `VNW\|pers\|pron\|nomin\|red\|2v\|ev`, `VNW\|pers\|pron\|nomin\|red\|3p\|ev\|masc`, `VNW\|pers\|pron\|nomin\|vol\|1\|ev`, `VNW\|pers\|pron\|nomin\|vol\|1\|mv`, `VNW\|pers\|pron\|nomin\|vol\|2b\|getal`, `VNW\|pers\|pron\|nomin\|vol\|3p\|mv`, `VNW\|pers\|pron\|nomin\|vol\|3v\|ev\|fem`, `VNW\|pers\|pron\|nomin\|vol\|3\|ev\|masc`, `VNW\|pers\|pron\|obl\|nadr\|3m\|ev\|masc`, `VNW\|pers\|pron\|obl\|vol\|3p\|mv`, `VNW\|pers\|pron\|obl\|vol\|3\|ev\|masc`, `VNW\|pers\|pron\|obl\|vol\|3\|getal\|fem`, `VNW\|pers\|pron\|stan\|red\|3\|ev\|fem`, `VNW\|pers\|pron\|stan\|red\|3\|ev\|onz`, `VNW\|pers\|pron\|stan\|red\|3\|mv`, `VNW\|pr\|pron\|obl\|red\|1\|ev`, `VNW\|pr\|pron\|obl\|red\|2v\|getal`, `VNW\|pr\|pron\|obl\|vol\|1\|ev`, `VNW\|pr\|pron\|obl\|vol\|1\|mv`, `VNW\|recip\|pron\|obl\|vol\|persoon\|mv`, `VNW\|refl\|pron\|obl\|nadr\|3\|getal`, `VNW\|refl\|pron\|obl\|red\|3\|getal`, `VNW\|vb\|adv-pron\|obl\|vol\|3o\|getal`, `VNW\|vb\|pron\|stan\|vol\|3o\|ev`, `VNW\|vb\|pron\|stan\|vol\|3p\|getal`, `VZ\|fin`, `VZ\|init`, `VZ\|versm`, `WW\|inf\|nom\|zonder\|zonder-n`, `WW\|inf\|vrij\|zonder`, `WW\|od\|nom\|met-e\|mv-n`, `WW\|od\|nom\|met-e\|zonder-n`, `WW\|od\|prenom\|met-e`, `WW\|od\|prenom\|zonder`, `WW\|od\|vrij\|zonder`, `WW\|pv\|conj\|ev`, `WW\|pv\|tgw\|ev`, `WW\|pv\|tgw\|met-t`, `WW\|pv\|tgw\|mv`, `WW\|pv\|verl\|ev`, `WW\|pv\|verl\|mv`, `WW\|vd\|nom\|met-e\|mv-n`, `WW\|vd\|nom\|met-e\|zonder-n`, `WW\|vd\|prenom\|met-e`, `WW\|vd\|prenom\|zonder`, `WW\|vd\|vrij\|zonder` |
+| **`morphologizer`** | `Definite=Def\|POS=DET`, `Degree=Pos\|POS=ADJ`, `POS=CCONJ`, `Gender=Neut\|Number=Sing\|POS=NOUN`, `POS=PUNCT`, `POS=DET`, `Degree=Sup\|POS=ADJ`, `Number=Sing\|POS=AUX\|Tense=Pres\|VerbForm=Fin`, `Gender=Com\|Number=Sing\|POS=PROPN`, `POS=SYM`, `POS=NUM`, `POS=ADP`, `Definite=Ind\|POS=DET`, `Gender=Com\|Number=Sing\|POS=NOUN`, `Degree=Cmp\|POS=ADJ`, `Gender=Neut\|Number=Sing\|POS=PROPN`, `POS=ADV`, `Number=Sing\|POS=AUX\|Tense=Past\|VerbForm=Fin`, `POS=PROPN`, `Number=Plur\|POS=NOUN`, `POS=VERB\|VerbForm=Inf`, `POS=PRON\|PronType=Rel`, `Number=Sing\|POS=VERB\|Tense=Pres\|VerbForm=Fin`, `POS=PRON\|PronType=Ind`, `POS=VERB\|VerbForm=Part`, `POS=ADJ`, `POS=X`, `Gender=Com,Neut\|Number=Sing\|POS=PROPN`, `Foreign=Yes\|POS=X`, `POS=PRON\|Person=3\|PronType=Prs`, `POS=PRON\|Person=3\|Poss=Yes\|PronType=Prs`, `Number=Plur\|POS=PROPN`, `Number=Plur\|POS=AUX\|Tense=Past\|VerbForm=Fin`, `Number=Plur\|POS=VERB\|Tense=Pres\|VerbForm=Fin`, `Number=Sing\|POS=VERB\|Tense=Past\|VerbForm=Fin`, `POS=PRON\|Person=3\|PronType=Rel`, `POS=AUX\|VerbForm=Inf`, `POS=SCONJ`, `Number=Plur\|POS=AUX\|Tense=Pres\|VerbForm=Fin`, `Abbr=Yes\|POS=X`, `Case=Nom\|POS=PRON\|Person=3\|PronType=Prs`, `POS=PRON\|Person=3\|PronType=Dem`, `Number=Plur\|POS=VERB\|Tense=Past\|VerbForm=Fin`, `Case=Acc\|POS=PRON\|Person=3\|PronType=Prs\|Reflex=Yes`, `POS=PRON\|PronType=Dem`, `POS=PRON\|Person=3\|PronType=Int`, `Gender=Com,Neut\|Number=Sing\|POS=NOUN`, `POS=PRON\|Person=3\|PronType=Ind`, `Case=Nom\|POS=PRON\|Person=2\|PronType=Prs`, `Number=Sing\|POS=NOUN`, `Case=Acc\|POS=PRON\|PronType=Rcp`, `POS=AUX\|VerbForm=Part`, `Number=Sing\|POS=PROPN`, `Case=Nom\|POS=PRON\|Person=1\|PronType=Prs`, `Case=Acc\|POS=PRON\|Person=2\|PronType=Prs`, `Case=Acc\|POS=PRON\|Person=3\|PronType=Prs`, `POS=INTJ`, `POS=PRON\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Acc\|POS=PRON\|Person=1\|PronType=Prs`, `POS=PRON\|Person=2\|Poss=Yes\|PronType=Prs` |
+| **`parser`** | `ROOT`, `acl`, `acl:relcl`, `advcl`, `advmod`, `amod`, `appos`, `aux`, `aux:pass`, `case`, `cc`, `ccomp`, `compound:prt`, `conj`, `cop`, `csubj`, `dep`, `det`, `expl`, `expl:pv`, `fixed`, `flat`, `iobj`, `mark`, `nmod`, `nmod:poss`, `nsubj`, `nsubj:pass`, `nummod`, `obj`, `obl`, `obl:agent`, `orphan`, `parataxis`, `punct`, `xcomp` |
+| **`experimental_edit_tree_lemmatizer`** | `1`, `3`, `4`, `6`, `8`, `10`, `13`, `15`, `17`, `19`, `21`, `22`, `25`, `27`, `29`, `30`, `32`, `36`, `37`, `39`, `41`, `42`, `45`, `47`, `49`, `51`, `53`, `55`, `58`, `59`, `61`, `63`, `65`, `66`, `70`, `72`, `74`, `76`, `78`, `79`, `80`, `82`, `84`, `86`, `89`, `92`, `94`, `96`, `97`, `99`, `101`, `104`, `107`, `109`, `110`, `112`, `114`, `116`, `117`, `118`, `119`, `120`, `121`, `124`, `126`, `127`, `130`, `133`, `134`, `135`, `137`, `139`, `142`, `143`, `145`, `148`, `152`, `154`, `156`, `159`, `160`, `163`, `165`, `167`, `168`, `172`, `175`, `176`, `178`, `182`, `184`, `187`, `189`, `190`, `192`, `194`, `195`, `197`, `199`, `200`, `203`, `205`, `207`, `208`, `209`, `212`, `214`, `215`, `217`, `219`, `220`, `221`, `224`, `227`, `228`, `230`, `232`, `233`, `237`, `238`, `240`, `241`, `242`, `244`, `245`, `248`, `249`, `250`, `251`, `252`, `255`, `258`, `259`, `260`, `262`, `266`, `268`, `270`, `272`, `275`, `278`, `280`, `281`, `282`, `283`, `285`, `287`, `290`, `291`, `293`, `297`, `299`, `300`, `301`, `302`, `306`, `307`, `309`, `310`, `311`, `313`, `314`, `316`, `318`, `319`, `320`, `324`, `329`, `332`, `333`, `335`, `337`, `339`, `343`, `346`, `347`, `348`, `352`, `353`, `357`, `358`, `359`, `360`, `362`, `363`, `366`, `369`, `372`, `374`, `377`, `378`, `379`, `381`, `382`, `386`, `387`, `391`, `395`, `397`, `399`, `400`, `401`, `403`, `406`, `407`, `408`, `409`, `410`, `411`, `412`, `414`, `415`, `417`, `419`, `421`, `423`, `426`, `427`, `428`, `431`, `433`, `435`, `437`, `439`, `441`, `444`, `446`, `448`, `451`, `453`, `455`, `457`, `458`, `460`, `462`, `463`, `465`, `467`, `469`, `470`, `472`, `474`, `475`, `478`, `482`, `483`, `485`, `489`, `491`, `492`, `493`, `495`, `499`, `500`, `502`, `506`, `508`, `511`, `514`, `518`, `520`, `522`, `525`, `527`, `528`, `532`, `534`, `535`, `538`, `540`, `541`, `544`, `546`, `547`, `548`, `551`, `552`, `556`, `558`, `559`, `560`, `563`, `565`, `567`, `569`, `570`, `573`, `577`, `579`, `581`, `584`, `587`, `589`, `591`, `595`, `597`, `599`, `600`, `601`, `602`, `606`, `608`, `610`, `612`, `614`, `615`, `616`, `618`, `619`, `620`, `621`, `622`, `626`, `628`, `629`, `631`, `632`, `634`, `635`, `636`, `637`, `639`, `641`, `644`, `649`, `653`, `654`, `656`, `657`, `658`, `661`, `663`, `664`, `665`, `666`, `667`, `668`, `669`, `670`, `674`, `676`, `678`, `679`, `682`, `685`, `687`, `689`, `692`, `694`, `696`, `699`, `702`, `703`, `704`, `705`, `706`, `708`, `709`, `711`, `712`, `714`, `715`, `717`, `718`, `719`, `722`, `725`, `729`, `730`, `733`, `736`, `738`, `739`, `743`, `745`, `746`, `749`, `750`, `328`, `752`, `754`, `755`, `757`, `760`, `761`, `762`, `764`, `767`, `769`, `770`, `773`, `777`, `778`, `781`, `783`, `784`, `785`, `786`, `789`, `790`, `793`, `794`, `795`, `798`, `800`, `162`, `803`, `806`, `809`, `812`, `813`, `815`, `817`, `818`, `819`, `821`, `823`, `824`, `825`, `827`, `830`, `832`, `834`, `836`, `838`, `648`, `839`, `841`, `843`, `844`, `846`, `848`, `849`, `851`, `852`, `853`, `854`, `855`, `857`, `859`, `860`, `861`, `863`, `865`, `867`, `869`, `872`, `873`, `875`, `877`, `879`, `881`, `883`, `885`, `886`, `887`, `888`, `890`, `893`, `894`, `896`, `899`, `901`, `902`, `904`, `906`, `908`, `911`, `913`, `915`, `918`, `919`, `920`, `921`, `926`, `928`, `930`, `931`, `932`, `933`, `934`, `396`, `935`, `936`, `938`, `939`, `940`, `942`, `945`, `946`, `947`, `948`, `950`, `951`, `954`, `956`, `957`, `960`, `962`, `964`, `967`, `969`, `970`, `971`, `975`, `976`, `977`, `978`, `979`, `980`, `981`, `982`, `983`, `984`, `985`, `988`, `990`, `991`, `995`, `997`, `998`, `840`, `999`, `1000`, `1002`, `1003`, `1004`, `1006`, `1008`, `1009`, `1013`, `1017`, `862`, `1019`, `1020`, `1021`, `1024`, `1025`, `1027`, `1028`, `1029`, `1031`, `1033`, `1036`, `1039`, `1040`, `1041`, `1043`, `1044`, `1047`, `1048`, `1052`, `1055`, `1056`, `1057`, `1061`, `1062`, `1063`, `1066`, `1069`, `507`, `1071`, `1072`, `1074`, `1075`, `1076`, `1078`, 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`1286`, `1287`, `1289`, `1290`, `1292`, `884`, `1293`, `1295`, `1296`, `1298`, `1299`, `1300`, `1302`, `1303`, `1304`, `1305`, `1306`, `1307`, `1309`, `1311`, `1313`, `1316`, `1317`, `1318`, `1319`, `1321`, `206`, `1322`, `1323`, `1328`, `1330`, `1331`, `1332`, `1334`, `1336`, `1338`, `1341`, `1342`, `1343`, `1344`, `1345`, `1346`, `1347`, `1348`, `1350`, `1352`, `1354`, `1356`, `1357`, `1358`, `1359`, `1360`, `1361`, `864`, `1363`, `1364`, `1366`, `1367`, `1368`, `1370`, `1371`, `1372`, `1374`, `1376`, `1377`, `1378`, `1379`, `1381`, `1382`, `1383`, `1384`, `1386`, `1387`, `1389`, `1390`, `1391`, `1393`, `1396`, `1397`, `1398`, `1399`, `1403`, `1404`, `1406`, `1407`, `1410`, `1412`, `1415`, `1416`, `1419`, `1421`, `1422`, `1423`, `1424`, `1425`, `1427`, `1429`, `1432`, `1433`, `1437`, `1440`, `1442`, `1447`, `1450`, `1452`, `1454`, `1457`, `1458`, `1459`, `1460`, `1462`, `1463`, `1464`, `1466`, `1468`, `1469`, `1471`, `1473`, `1475`, `1476`, `1478`, `1479`, `1480`, `1481`, `1482`, `1483`, `1484` |
+
+</details>
+
+### Accuracy
+
+| Type | Score |
+| --- | --- |
+| `TOKEN_F` | 99.91 |
+| `TOKEN_P` | 99.88 |
+| `TOKEN_R` | 99.94 |
+| `TOKEN_ACC` | 100.00 |
+| `SENTS_F` | 91.84 |
+| `SENTS_P` | 90.52 |
+| `SENTS_R` | 93.20 |
+| `TAG_ACC` | 95.93 |
+| `POS_ACC` | 96.37 |
+| `MORPH_ACC` | 97.73 |
+| `DEP_UAS` | 90.23 |
+| `DEP_LAS` | 86.21 |
+| `LEMMA_ACC` | 96.71 |

config.cfg

@@ -0,0 +1,254 @@
+[paths]
+train = "corpus/UD_Dutch-LassySmall/train.spacy"
+dev = "corpus/UD_Dutch-LassySmall/dev.spacy"
+vectors = null
+init_tok2vec = null
+tokenizer_source = "training/UD_Dutch-LassySmall/tokenizer/model-best"
+transformer_source = "training/UD_Dutch-LassySmall/transformer/model-best"
+
+[system]
+gpu_allocator = "pytorch"
+seed = 0
+
+[nlp]
+lang = "nl"
+pipeline = ["experimental_char_ner_tokenizer","transformer","senter","tagger","morphologizer","parser","experimental_edit_tree_lemmatizer"]
+batch_size = 64
+disabled = ["senter"]
+before_creation = null
+after_creation = null
+after_pipeline_creation = null
+tokenizer = {"@tokenizers":"spacy-experimental.char_pretokenizer.v1"}
+
+[components]
+
+[components.experimental_char_ner_tokenizer]
+factory = "experimental_char_ner_tokenizer"
+scorer = {"@scorers":"spacy-experimental.tokenizer_scorer.v1"}
+
+[components.experimental_char_ner_tokenizer.model]
+@architectures = "spacy.TransitionBasedParser.v2"
+state_type = "ner"
+extra_state_tokens = false
+hidden_width = 64
+maxout_pieces = 2
+use_upper = true
+nO = null
+
+[components.experimental_char_ner_tokenizer.model.tok2vec]
+@architectures = "spacy.Tok2Vec.v2"
+
+[components.experimental_char_ner_tokenizer.model.tok2vec.embed]
+@architectures = "spacy.MultiHashEmbed.v2"
+width = 128
+attrs = ["ORTH","LOWER","IS_DIGIT","IS_ALPHA","IS_SPACE","IS_PUNCT"]
+rows = [1000,500,50,50,50,50]
+include_static_vectors = false
+
+[components.experimental_char_ner_tokenizer.model.tok2vec.encode]
+@architectures = "spacy.MaxoutWindowEncoder.v2"
+width = 128
+depth = 4
+window_size = 4
+maxout_pieces = 2
+
+[components.experimental_edit_tree_lemmatizer]
+factory = "experimental_edit_tree_lemmatizer"
+backoff = "orth"
+min_tree_freq = 1
+overwrite = false
+scorer = {"@scorers":"spacy.lemmatizer_scorer.v1"}
+top_k = 1
+
+[components.experimental_edit_tree_lemmatizer.model]
+@architectures = "spacy.Tagger.v1"
+nO = null
+
+[components.experimental_edit_tree_lemmatizer.model.tok2vec]
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+grad_factor = 1.0
+upstream = "transformer"
+pooling = {"@layers":"reduce_mean.v1"}
+
+[components.morphologizer]
+factory = "morphologizer"
+extend = false
+overwrite = false
+scorer = {"@scorers":"spacy.morphologizer_scorer.v1"}
+
+[components.morphologizer.model]
+@architectures = "spacy.Tagger.v1"
+nO = null
+
+[components.morphologizer.model.tok2vec]
+@architectures = "spacy-transformers.TransformerListener.v1"
+grad_factor = 1.0
+upstream = "transformer"
+pooling = {"@layers":"reduce_mean.v1"}
+
+[components.parser]
+factory = "parser"
+learn_tokens = false
+min_action_freq = 5
+moves = null
+scorer = {"@scorers":"spacy.parser_scorer.v1"}
+update_with_oracle_cut_size = 100
+
+[components.parser.model]
+@architectures = "spacy.TransitionBasedParser.v2"
+state_type = "parser"
+extra_state_tokens = false
+hidden_width = 64
+maxout_pieces = 3
+use_upper = false
+nO = null
+
+[components.parser.model.tok2vec]
+@architectures = "spacy-transformers.TransformerListener.v1"
+grad_factor = 1.0
+upstream = "transformer"
+pooling = {"@layers":"reduce_mean.v1"}
+
+[components.senter]
+factory = "senter"
+overwrite = false
+scorer = {"@scorers":"spacy.senter_scorer.v1"}
+
+[components.senter.model]
+@architectures = "spacy.Tagger.v1"
+nO = null
+
+[components.senter.model.tok2vec]
+@architectures = "spacy-transformers.TransformerListener.v1"
+grad_factor = 1.0
+upstream = "transformer"
+pooling = {"@layers":"reduce_mean.v1"}
+
+[components.tagger]
+factory = "tagger"
+neg_prefix = "!"
+overwrite = false
+scorer = {"@scorers":"spacy.tagger_scorer.v1"}
+
+[components.tagger.model]
+@architectures = "spacy.Tagger.v1"
+nO = null
+
+[components.tagger.model.tok2vec]
+@architectures = "spacy-transformers.TransformerListener.v1"
+grad_factor = 1.0
+upstream = "transformer"
+pooling = {"@layers":"reduce_mean.v1"}
+
+[components.transformer]
+factory = "transformer"
+max_batch_items = 4096
+set_extra_annotations = {"@annotation_setters":"spacy-transformers.null_annotation_setter.v1"}
+
+[components.transformer.model]
+@architectures = "spacy-transformers.TransformerModel.v3"
+name = "xlm-roberta-base"
+mixed_precision = true
+
+[components.transformer.model.get_spans]
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+window = 128
+stride = 96
+
+[components.transformer.model.grad_scaler_config]
+
+[components.transformer.model.tokenizer_config]
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+
+[components.transformer.model.transformer_config]
+
+[corpora]
+
+[corpora.dev]
+@readers = "spacy.Corpus.v1"
+path = ${paths.dev}
+max_length = 0
+gold_preproc = false
+limit = 0
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+
+[corpora.train]
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+limit = 0
+augmenter = null
+
+[training]
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+dev_corpus = "corpora.dev"
+seed = ${system:seed}
+gpu_allocator = ${system:gpu_allocator}
+dropout = 0.1
+accumulate_gradient = 3
+patience = 5000
+max_epochs = 0
+max_steps = 20000
+eval_frequency = 200
+frozen_components = []
+before_to_disk = null
+annotating_components = []
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+[training.batcher]
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+get_length = null
+size = 2000
+buffer = 256
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+[training.logger]
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+[training.optimizer.learn_rate]
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+dep_uas = 0.11
+dep_las = 0.11
+dep_las_per_type = null
+lemma_acc = 0.52
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+[pretraining]
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+[initialize]
+vectors = ${paths.vectors}
+init_tok2vec = ${paths.init_tok2vec}
+vocab_data = null
+lookups = null
+before_init = null
+after_init = null
+
+[initialize.components]
+
+[initialize.tokenizer]

experimental_char_ner_tokenizer/cfg

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+{
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+  "multitasks":[
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+  "min_action_freq":1,
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+  "beam_density":0.0,
+  "beam_update_prob":0.0,
+  "incorrect_spans_key":null
+}

experimental_char_ner_tokenizer/model

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+  ]
+}

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+{
+  "lang":"nl",
+  "name":"udv25_dutchlassysmall_trf",
+  "version":"0.0.1",
+  "description":"UD v2.5 benchmarking pipeline for UD_Dutch-LassySmall",
+  "author":"Explosion",
+  "email":"contact@explosion.ai",
+  "url":"https://explosion.ai",
+  "license":"CC BY-SA 4.0",
+  "spacy_version":">=3.2.1,<3.3.0",
+  "spacy_git_version":"800737b41",
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+    "width":0,
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+    "name":null
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+    ],
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+    ],
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+      "POS=CCONJ",
+      "Gender=Neut|Number=Sing|POS=NOUN",
+      "POS=PUNCT",
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+      "Number=Sing|POS=NOUN",
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+      "Case=Acc|POS=PRON|Person=1|PronType=Prs",
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+  "pipeline":[
+    "experimental_char_ner_tokenizer",
+    "transformer",
+    "tagger",
+    "morphologizer",
+    "parser",
+    "experimental_edit_tree_lemmatizer"
+  ],
+  "components":[
+    "experimental_char_ner_tokenizer",
+    "transformer",
+    "senter",
+    "tagger",
+    "morphologizer",
+    "parser",
+    "experimental_edit_tree_lemmatizer"
+  ],
+  "disabled":[
+    "senter"
+  ],
+  "sources":[
+    {
+      "name":"Universal Dependencies v2.5",
+      "url":"https://lindat.mff.cuni.cz/repository/xmlui/handle/11234/1-3105",
+      "author":"Zeman, Daniel; et al."
+    }
+  ],
+  "performance":{
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+    "dep_uas":0.9022862512,
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+    "dep_las_per_type":{
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+      "parataxis":{
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+      "expl:pv":{
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+      "iobj":{
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+      "nmod:poss":{
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+        "f":0.9677419355
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+      "obl:agent":{
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+        "f":0.9285714286
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+      "orphan":{
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+        "f":0.25
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+      "dep":{
+        "p":0.0,
+        "r":0.0,
+        "f":0.0
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+    },
+    "lemma_acc":0.9670628481
+  },
+  "requirements":[
+    "spacy-transformers>=1.1.3,<1.2.0",
+    "spacy-experimental>=0.2.0,<0.3.0"
+  ]
+}

morphologizer/cfg

@@ -0,0 +1,128 @@
+{
+  "extend":false,
+  "labels_morph":{
+    "Definite=Def|POS=DET":"Definite=Def",
+    "Degree=Pos|POS=ADJ":"Degree=Pos",
+    "POS=CCONJ":"",
+    "Gender=Neut|Number=Sing|POS=NOUN":"Gender=Neut|Number=Sing",
+    "POS=PUNCT":"",
+    "POS=DET":"",
+    "Degree=Sup|POS=ADJ":"Degree=Sup",
+    "Number=Sing|POS=AUX|Tense=Pres|VerbForm=Fin":"Number=Sing|Tense=Pres|VerbForm=Fin",
+    "Gender=Com|Number=Sing|POS=PROPN":"Gender=Com|Number=Sing",
+    "POS=SYM":"",
+    "POS=NUM":"",
+    "POS=ADP":"",
+    "Definite=Ind|POS=DET":"Definite=Ind",
+    "Gender=Com|Number=Sing|POS=NOUN":"Gender=Com|Number=Sing",
+    "Degree=Cmp|POS=ADJ":"Degree=Cmp",
+    "Gender=Neut|Number=Sing|POS=PROPN":"Gender=Neut|Number=Sing",
+    "POS=ADV":"",
+    "Number=Sing|POS=AUX|Tense=Past|VerbForm=Fin":"Number=Sing|Tense=Past|VerbForm=Fin",
+    "POS=PROPN":"",
+    "Number=Plur|POS=NOUN":"Number=Plur",
+    "POS=VERB|VerbForm=Inf":"VerbForm=Inf",
+    "POS=PRON|PronType=Rel":"PronType=Rel",
+    "Number=Sing|POS=VERB|Tense=Pres|VerbForm=Fin":"Number=Sing|Tense=Pres|VerbForm=Fin",
+    "POS=PRON|PronType=Ind":"PronType=Ind",
+    "POS=VERB|VerbForm=Part":"VerbForm=Part",
+    "POS=ADJ":"",
+    "POS=X":"",
+    "Gender=Com,Neut|Number=Sing|POS=PROPN":"Gender=Com,Neut|Number=Sing",
+    "Foreign=Yes|POS=X":"Foreign=Yes",
+    "POS=PRON|Person=3|PronType=Prs":"Person=3|PronType=Prs",
+    "POS=PRON|Person=3|Poss=Yes|PronType=Prs":"Person=3|Poss=Yes|PronType=Prs",
+    "Number=Plur|POS=PROPN":"Number=Plur",
+    "Number=Plur|POS=AUX|Tense=Past|VerbForm=Fin":"Number=Plur|Tense=Past|VerbForm=Fin",
+    "Number=Plur|POS=VERB|Tense=Pres|VerbForm=Fin":"Number=Plur|Tense=Pres|VerbForm=Fin",
+    "Number=Sing|POS=VERB|Tense=Past|VerbForm=Fin":"Number=Sing|Tense=Past|VerbForm=Fin",
+    "POS=PRON|Person=3|PronType=Rel":"Person=3|PronType=Rel",
+    "POS=AUX|VerbForm=Inf":"VerbForm=Inf",
+    "POS=SCONJ":"",
+    "Number=Plur|POS=AUX|Tense=Pres|VerbForm=Fin":"Number=Plur|Tense=Pres|VerbForm=Fin",
+    "Abbr=Yes|POS=X":"Abbr=Yes",
+    "Case=Nom|POS=PRON|Person=3|PronType=Prs":"Case=Nom|Person=3|PronType=Prs",
+    "POS=PRON|Person=3|PronType=Dem":"Person=3|PronType=Dem",
+    "Number=Plur|POS=VERB|Tense=Past|VerbForm=Fin":"Number=Plur|Tense=Past|VerbForm=Fin",
+    "Case=Acc|POS=PRON|Person=3|PronType=Prs|Reflex=Yes":"Case=Acc|Person=3|PronType=Prs|Reflex=Yes",
+    "POS=PRON|PronType=Dem":"PronType=Dem",
+    "POS=PRON|Person=3|PronType=Int":"Person=3|PronType=Int",
+    "Gender=Com,Neut|Number=Sing|POS=NOUN":"Gender=Com,Neut|Number=Sing",
+    "POS=PRON|Person=3|PronType=Ind":"Person=3|PronType=Ind",
+    "Case=Nom|POS=PRON|Person=2|PronType=Prs":"Case=Nom|Person=2|PronType=Prs",
+    "Number=Sing|POS=NOUN":"Number=Sing",
+    "Case=Acc|POS=PRON|PronType=Rcp":"Case=Acc|PronType=Rcp",
+    "POS=AUX|VerbForm=Part":"VerbForm=Part",
+    "Number=Sing|POS=PROPN":"Number=Sing",
+    "Case=Nom|POS=PRON|Person=1|PronType=Prs":"Case=Nom|Person=1|PronType=Prs",
+    "Case=Acc|POS=PRON|Person=2|PronType=Prs":"Case=Acc|Person=2|PronType=Prs",
+    "Case=Acc|POS=PRON|Person=3|PronType=Prs":"Case=Acc|Person=3|PronType=Prs",
+    "POS=INTJ":"",
+    "POS=PRON|Person=1|Poss=Yes|PronType=Prs":"Person=1|Poss=Yes|PronType=Prs",
+    "Case=Acc|POS=PRON|Person=1|PronType=Prs":"Case=Acc|Person=1|PronType=Prs",
+    "POS=PRON|Person=2|Poss=Yes|PronType=Prs":"Person=2|Poss=Yes|PronType=Prs"
+  },
+  "labels_pos":{
+    "Definite=Def|POS=DET":90,
+    "Degree=Pos|POS=ADJ":84,
+    "POS=CCONJ":89,
+    "Gender=Neut|Number=Sing|POS=NOUN":92,
+    "POS=PUNCT":97,
+    "POS=DET":90,
+    "Degree=Sup|POS=ADJ":84,
+    "Number=Sing|POS=AUX|Tense=Pres|VerbForm=Fin":87,
+    "Gender=Com|Number=Sing|POS=PROPN":96,
+    "POS=SYM":99,
+    "POS=NUM":93,
+    "POS=ADP":85,
+    "Definite=Ind|POS=DET":90,
+    "Gender=Com|Number=Sing|POS=NOUN":92,
+    "Degree=Cmp|POS=ADJ":84,
+    "Gender=Neut|Number=Sing|POS=PROPN":96,
+    "POS=ADV":86,
+    "Number=Sing|POS=AUX|Tense=Past|VerbForm=Fin":87,
+    "POS=PROPN":96,
+    "Number=Plur|POS=NOUN":92,
+    "POS=VERB|VerbForm=Inf":100,
+    "POS=PRON|PronType=Rel":95,
+    "Number=Sing|POS=VERB|Tense=Pres|VerbForm=Fin":100,
+    "POS=PRON|PronType=Ind":95,
+    "POS=VERB|VerbForm=Part":100,
+    "POS=ADJ":84,
+    "POS=X":101,
+    "Gender=Com,Neut|Number=Sing|POS=PROPN":96,
+    "Foreign=Yes|POS=X":101,
+    "POS=PRON|Person=3|PronType=Prs":95,
+    "POS=PRON|Person=3|Poss=Yes|PronType=Prs":95,
+    "Number=Plur|POS=PROPN":96,
+    "Number=Plur|POS=AUX|Tense=Past|VerbForm=Fin":87,
+    "Number=Plur|POS=VERB|Tense=Pres|VerbForm=Fin":100,
+    "Number=Sing|POS=VERB|Tense=Past|VerbForm=Fin":100,
+    "POS=PRON|Person=3|PronType=Rel":95,
+    "POS=AUX|VerbForm=Inf":87,
+    "POS=SCONJ":98,
+    "Number=Plur|POS=AUX|Tense=Pres|VerbForm=Fin":87,
+    "Abbr=Yes|POS=X":101,
+    "Case=Nom|POS=PRON|Person=3|PronType=Prs":95,
+    "POS=PRON|Person=3|PronType=Dem":95,
+    "Number=Plur|POS=VERB|Tense=Past|VerbForm=Fin":100,
+    "Case=Acc|POS=PRON|Person=3|PronType=Prs|Reflex=Yes":95,
+    "POS=PRON|PronType=Dem":95,
+    "POS=PRON|Person=3|PronType=Int":95,
+    "Gender=Com,Neut|Number=Sing|POS=NOUN":92,
+    "POS=PRON|Person=3|PronType=Ind":95,
+    "Case=Nom|POS=PRON|Person=2|PronType=Prs":95,
+    "Number=Sing|POS=NOUN":92,
+    "Case=Acc|POS=PRON|PronType=Rcp":95,
+    "POS=AUX|VerbForm=Part":87,
+    "Number=Sing|POS=PROPN":96,
+    "Case=Nom|POS=PRON|Person=1|PronType=Prs":95,
+    "Case=Acc|POS=PRON|Person=2|PronType=Prs":95,
+    "Case=Acc|POS=PRON|Person=3|PronType=Prs":95,
+    "POS=INTJ":91,
+    "POS=PRON|Person=1|Poss=Yes|PronType=Prs":95,
+    "Case=Acc|POS=PRON|Person=1|PronType=Prs":95,
+    "POS=PRON|Person=2|Poss=Yes|PronType=Prs":95
+  },
+  "overwrite":false
+}

morphologizer/model

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