metadata
language:
- tr
license: apache-2.0
library_name: transformers
tags:
- part-of-speech
- token-classification
datasets:
- universal_dependencies
metrics:
- accuracy
model-index:
- name: xlm-roberta-base-ft-udpos28-tr
results:
- task:
type: token-classification
name: Part-of-Speech Tagging
dataset:
name: Universal Dependencies v2.8
type: universal_dependencies
metrics:
- type: accuracy
value: 74.4
name: English Test accuracy
- type: accuracy
value: 73.7
name: Dutch Test accuracy
- type: accuracy
value: 73.5
name: German Test accuracy
- type: accuracy
value: 73.2
name: Italian Test accuracy
- type: accuracy
value: 71.4
name: French Test accuracy
- type: accuracy
value: 71.1
name: Spanish Test accuracy
- type: accuracy
value: 77.9
name: Russian Test accuracy
- type: accuracy
value: 74.5
name: Swedish Test accuracy
- type: accuracy
value: 69.2
name: Norwegian Test accuracy
- type: accuracy
value: 73.8
name: Danish Test accuracy
- type: accuracy
value: 45.8
name: Low Saxon Test accuracy
- type: accuracy
value: 39.8
name: Akkadian Test accuracy
- type: accuracy
value: 80.9
name: Armenian Test accuracy
- type: accuracy
value: 62.9
name: Welsh Test accuracy
- type: accuracy
value: 63.7
name: Old East Slavic Test accuracy
- type: accuracy
value: 71.5
name: Albanian Test accuracy
- type: accuracy
value: 62.3
name: Slovenian Test accuracy
- type: accuracy
value: 41.3
name: Guajajara Test accuracy
- type: accuracy
value: 68
name: Kurmanji Test accuracy
- type: accuracy
value: 88.4
name: Turkish Test accuracy
- type: accuracy
value: 81.1
name: Finnish Test accuracy
- type: accuracy
value: 71.5
name: Indonesian Test accuracy
- type: accuracy
value: 76.8
name: Ukrainian Test accuracy
- type: accuracy
value: 74.3
name: Polish Test accuracy
- type: accuracy
value: 76.7
name: Portuguese Test accuracy
- type: accuracy
value: 81.1
name: Kazakh Test accuracy
- type: accuracy
value: 68.2
name: Latin Test accuracy
- type: accuracy
value: 47.5
name: Old French Test accuracy
- type: accuracy
value: 62.6
name: Buryat Test accuracy
- type: accuracy
value: 24.6
name: Kaapor Test accuracy
- type: accuracy
value: 63.7
name: Korean Test accuracy
- type: accuracy
value: 82
name: Estonian Test accuracy
- type: accuracy
value: 72.3
name: Croatian Test accuracy
- type: accuracy
value: 24.1
name: Gothic Test accuracy
- type: accuracy
value: 41.1
name: Swiss German Test accuracy
- type: accuracy
value: 23
name: Assyrian Test accuracy
- type: accuracy
value: 45.2
name: North Sami Test accuracy
- type: accuracy
value: 36
name: Naija Test accuracy
- type: accuracy
value: 80
name: Latvian Test accuracy
- type: accuracy
value: 55.9
name: Chinese Test accuracy
- type: accuracy
value: 56.2
name: Tagalog Test accuracy
- type: accuracy
value: 30
name: Bambara Test accuracy
- type: accuracy
value: 81.2
name: Lithuanian Test accuracy
- type: accuracy
value: 72.4
name: Galician Test accuracy
- type: accuracy
value: 57
name: Vietnamese Test accuracy
- type: accuracy
value: 80.2
name: Greek Test accuracy
- type: accuracy
value: 69.1
name: Catalan Test accuracy
- type: accuracy
value: 75.8
name: Czech Test accuracy
- type: accuracy
value: 52.7
name: Erzya Test accuracy
- type: accuracy
value: 50.8
name: Bhojpuri Test accuracy
- type: accuracy
value: 49
name: Thai Test accuracy
- type: accuracy
value: 77.9
name: Marathi Test accuracy
- type: accuracy
value: 66.8
name: Basque Test accuracy
- type: accuracy
value: 75.1
name: Slovak Test accuracy
- type: accuracy
value: 43.1
name: Kiche Test accuracy
- type: accuracy
value: 31.7
name: Yoruba Test accuracy
- type: accuracy
value: 48.6
name: Warlpiri Test accuracy
- type: accuracy
value: 79.5
name: Tamil Test accuracy
- type: accuracy
value: 34.1
name: Maltese Test accuracy
- type: accuracy
value: 58.5
name: Ancient Greek Test accuracy
- type: accuracy
value: 68.9
name: Icelandic Test accuracy
- type: accuracy
value: 33.6
name: Mbya Guarani Test accuracy
- type: accuracy
value: 60.5
name: Urdu Test accuracy
- type: accuracy
value: 69.6
name: Romanian Test accuracy
- type: accuracy
value: 71.3
name: Persian Test accuracy
- type: accuracy
value: 50.2
name: Apurina Test accuracy
- type: accuracy
value: 44.4
name: Japanese Test accuracy
- type: accuracy
value: 86.4
name: Hungarian Test accuracy
- type: accuracy
value: 63.2
name: Hindi Test accuracy
- type: accuracy
value: 36.3
name: Classical Chinese Test accuracy
- type: accuracy
value: 51
name: Komi Permyak Test accuracy
- type: accuracy
value: 59.5
name: Faroese Test accuracy
- type: accuracy
value: 38.3
name: Sanskrit Test accuracy
- type: accuracy
value: 65.4
name: Livvi Test accuracy
- type: accuracy
value: 64.4
name: Arabic Test accuracy
- type: accuracy
value: 38.9
name: Wolof Test accuracy
- type: accuracy
value: 72.4
name: Bulgarian Test accuracy
- type: accuracy
value: 49.1
name: Akuntsu Test accuracy
- type: accuracy
value: 23.3
name: Makurap Test accuracy
- type: accuracy
value: 46.5
name: Kangri Test accuracy
- type: accuracy
value: 55.4
name: Breton Test accuracy
- type: accuracy
value: 80.7
name: Telugu Test accuracy
- type: accuracy
value: 54.3
name: Cantonese Test accuracy
- type: accuracy
value: 42.9
name: Old Church Slavonic Test accuracy
- type: accuracy
value: 70.5
name: Karelian Test accuracy
- type: accuracy
value: 67.1
name: Upper Sorbian Test accuracy
- type: accuracy
value: 58.3
name: South Levantine Arabic Test accuracy
- type: accuracy
value: 47.6
name: Komi Zyrian Test accuracy
- type: accuracy
value: 60.3
name: Irish Test accuracy
- type: accuracy
value: 50
name: Nayini Test accuracy
- type: accuracy
value: 41.9
name: Munduruku Test accuracy
- type: accuracy
value: 37.5
name: Manx Test accuracy
- type: accuracy
value: 47.4
name: Skolt Sami Test accuracy
- type: accuracy
value: 71.3
name: Afrikaans Test accuracy
- type: accuracy
value: 53.4
name: Old Turkish Test accuracy
- type: accuracy
value: 53.6
name: Tupinamba Test accuracy
- type: accuracy
value: 76.9
name: Belarusian Test accuracy
- type: accuracy
value: 72.2
name: Serbian Test accuracy
- type: accuracy
value: 50
name: Moksha Test accuracy
- type: accuracy
value: 70.5
name: Western Armenian Test accuracy
- type: accuracy
value: 54.1
name: Scottish Gaelic Test accuracy
- type: accuracy
value: 50
name: Khunsari Test accuracy
- type: accuracy
value: 79.2
name: Hebrew Test accuracy
- type: accuracy
value: 70.8
name: Uyghur Test accuracy
- type: accuracy
value: 40.8
name: Chukchi Test accuracy
Model Card for XLM-RoBERTa base Universal Dependencies v2.8 POS tagging: Turkish
Model Details
Model Description
- Developed by: Wietse de Vries
- Shared by [Optional]: Hugging Face
- Model type: Token Classification
- Language(s) (NLP): tr
- License: apache-2.0
- Related Models: xlm-roberla
- Parent Model:
- Resources for more information:
Uses
Direct Use
Token Classification
Downstream Use [Optional]
More information needed.
Out-of-Scope Use
The model should not be used to intentionally create hostile or alienating environments for people.
Bias, Risks, and Limitations
Significant research has explored bias and fairness issues with language models (see, e.g., Sheng et al. (2021) and Bender et al. (2021)). Predictions generated by the model may include disturbing and harmful stereotypes across protected classes; identity characteristics; and sensitive, social, and occupational groups.
Recommendations
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recomendations.
Training Details
Training Data
See the associated [ Universal Dependencies v2.8 datasetcard] (https://huggingface.co/datasets/universal_dependencies) for further details.
Training Procedure
Preprocessing
More information needed.
Speeds, Sizes, Times
More information needed.
Evaluation
Testing Data, Factors & Metrics
Testing Data
See the associated Universal Dependencies v2.8 datasetcard for further details.
Factors
Metrics
Accuracy
Results
Click to expand
- type: accuracy
name: English Test accuracy
value: 74.4
- type: accuracy
name: Dutch Test accuracy
value: 73.7
- type: accuracy
name: German Test accuracy
value: 73.5
- type: accuracy
name: Italian Test accuracy
value: 73.2
- type: accuracy
name: French Test accuracy
value: 71.4
- type: accuracy
name: Spanish Test accuracy
value: 71.1
- type: accuracy
name: Russian Test accuracy
value: 77.9
- type: accuracy
name: Swedish Test accuracy
value: 74.5
- type: accuracy
name: Norwegian Test accuracy
value: 69.2
- type: accuracy
name: Danish Test accuracy
value: 73.8
- type: accuracy
name: Low Saxon Test accuracy
value: 45.8
- type: accuracy
name: Akkadian Test accuracy
value: 39.8
- type: accuracy
name: Armenian Test accuracy
value: 80.9
- type: accuracy
name: Welsh Test accuracy
value: 62.9
- type: accuracy
name: Old East Slavic Test accuracy
value: 63.7
- type: accuracy
name: Albanian Test accuracy
value: 71.5
- type: accuracy
name: Slovenian Test accuracy
value: 62.3
- type: accuracy
name: Guajajara Test accuracy
value: 41.3
- type: accuracy
name: Kurmanji Test accuracy
value: 68.0
- type: accuracy
name: Turkish Test accuracy
value: 88.4
- type: accuracy
name: Finnish Test accuracy
value: 81.1
- type: accuracy
name: Indonesian Test accuracy
value: 71.5
- type: accuracy
name: Ukrainian Test accuracy
value: 76.8
- type: accuracy
name: Polish Test accuracy
value: 74.3
- type: accuracy
name: Portuguese Test accuracy
value: 76.7
- type: accuracy
name: Kazakh Test accuracy
value: 81.1
- type: accuracy
name: Latin Test accuracy
value: 68.2
- type: accuracy
name: Old French Test accuracy
value: 47.5
- type: accuracy
name: Buryat Test accuracy
value: 62.6
- type: accuracy
name: Kaapor Test accuracy
value: 24.6
- type: accuracy
name: Korean Test accuracy
value: 63.7
- type: accuracy
name: Estonian Test accuracy
value: 82.0
- type: accuracy
name: Croatian Test accuracy
value: 72.3
- type: accuracy
name: Gothic Test accuracy
value: 24.1
- type: accuracy
name: Swiss German Test accuracy
value: 41.1
- type: accuracy
name: Assyrian Test accuracy
value: 23.0
- type: accuracy
name: North Sami Test accuracy
value: 45.2
- type: accuracy
name: Naija Test accuracy
value: 36.0
- type: accuracy
name: Latvian Test accuracy
value: 80.0
- type: accuracy
name: Chinese Test accuracy
value: 55.9
- type: accuracy
name: Tagalog Test accuracy
value: 56.2
- type: accuracy
name: Bambara Test accuracy
value: 30.0
- type: accuracy
name: Lithuanian Test accuracy
value: 81.2
- type: accuracy
name: Galician Test accuracy
value: 72.4
- type: accuracy
name: Vietnamese Test accuracy
value: 57.0
- type: accuracy
name: Greek Test accuracy
value: 80.2
- type: accuracy
name: Catalan Test accuracy
value: 69.1
- type: accuracy
name: Czech Test accuracy
value: 75.8
- type: accuracy
name: Erzya Test accuracy
value: 52.7
- type: accuracy
name: Bhojpuri Test accuracy
value: 50.8
- type: accuracy
name: Thai Test accuracy
value: 49.0
- type: accuracy
name: Marathi Test accuracy
value: 77.9
- type: accuracy
name: Basque Test accuracy
value: 66.8
- type: accuracy
name: Slovak Test accuracy
value: 75.1
- type: accuracy
name: Kiche Test accuracy
value: 43.1
- type: accuracy
name: Yoruba Test accuracy
value: 31.7
- type: accuracy
name: Warlpiri Test accuracy
value: 48.6
- type: accuracy
name: Tamil Test accuracy
value: 79.5
- type: accuracy
name: Maltese Test accuracy
value: 34.1
- type: accuracy
name: Ancient Greek Test accuracy
value: 58.5
- type: accuracy
name: Icelandic Test accuracy
value: 68.9
- type: accuracy
name: Mbya Guarani Test accuracy
value: 33.6
- type: accuracy
name: Urdu Test accuracy
value: 60.5
- type: accuracy
name: Romanian Test accuracy
value: 69.6
- type: accuracy
name: Persian Test accuracy
value: 71.3
- type: accuracy
name: Apurina Test accuracy
value: 50.2
- type: accuracy
name: Japanese Test accuracy
value: 44.4
- type: accuracy
name: Hungarian Test accuracy
value: 86.4
- type: accuracy
name: Hindi Test accuracy
value: 63.2
- type: accuracy
name: Classical Chinese Test accuracy
value: 36.3
- type: accuracy
name: Komi Permyak Test accuracy
value: 51.0
- type: accuracy
name: Faroese Test accuracy
value: 59.5
- type: accuracy
name: Sanskrit Test accuracy
value: 38.3
- type: accuracy
name: Livvi Test accuracy
value: 65.4
- type: accuracy
name: Arabic Test accuracy
value: 64.4
- type: accuracy
name: Wolof Test accuracy
value: 38.9
- type: accuracy
name: Bulgarian Test accuracy
value: 72.4
- type: accuracy
name: Akuntsu Test accuracy
value: 49.1
- type: accuracy
name: Makurap Test accuracy
value: 23.3
- type: accuracy
name: Kangri Test accuracy
value: 46.5
- type: accuracy
name: Breton Test accuracy
value: 55.4
- type: accuracy
name: Telugu Test accuracy
value: 80.7
- type: accuracy
name: Cantonese Test accuracy
value: 54.3
- type: accuracy
name: Old Church Slavonic Test accuracy
value: 42.9
- type: accuracy
name: Karelian Test accuracy
value: 70.5
- type: accuracy
name: Upper Sorbian Test accuracy
value: 67.1
- type: accuracy
name: South Levantine Arabic Test accuracy
value: 58.3
- type: accuracy
name: Komi Zyrian Test accuracy
value: 47.6
- type: accuracy
name: Irish Test accuracy
value: 60.3
- type: accuracy
name: Nayini Test accuracy
value: 50.0
- type: accuracy
name: Munduruku Test accuracy
value: 41.9
- type: accuracy
name: Manx Test accuracy
value: 37.5
- type: accuracy
name: Skolt Sami Test accuracy
value: 47.4
- type: accuracy
name: Afrikaans Test accuracy
value: 71.3
- type: accuracy
name: Old Turkish Test accuracy
value: 53.4
- type: accuracy
name: Tupinamba Test accuracy
value: 53.6
- type: accuracy
name: Belarusian Test accuracy
value: 76.9
- name: Serbian Test accuracy
value: 72.2
- name: Moksha Test accuracy
value: 50.0
- name: Western Armenian Test accuracy
value: 70.5
- type: accuracy
name: Scottish Gaelic Test accuracy
value: 54.1
- type: accuracy
name: Khunsari Test accuracy
value: 50.0
- type: accuracy
name: Hebrew Test accuracy
value: 79.2
- type: accuracy
name: Uyghur Test accuracy
value: 70.8
- type: accuracy
name: Chukchi Test accuracy
value: 40.8
Model Examination
More information needed
Environmental Impact
Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).
- Hardware Type: More information needed
- Hours used: More information needed
- Cloud Provider: More information needed
- Compute Region: More information needed
- Carbon Emitted: More information needed
Technical Specifications [optional]
Model Architecture and Objective
More information needed
Compute Infrastructure
More information needed
Hardware
More information needed
Software
More information needed
Citation
BibTeX:
More information needed
APA:
More information needed
Glossary [optional]
More information needed
More Information [optional]
More information needed
Model Card Authors [optional]
Wietse de Vries in collaboration with Ezi Ozoani and the Hugging Face team.
Model Card Contact
More information needed
How to Get Started with the Model
Use the code below to get started with the model.
Click to expand
from transformers import AutoTokenizer, AutoModelForTokenClassification
tokenizer = AutoTokenizer.from_pretrained("wietsedv/xlm-roberta-base-ft-udpos28-tr")
model = AutoModelForTokenClassification.from_pretrained("wietsedv/xlm-roberta-base-ft-udpos28-tr")