metadata
tags:
- spacy
- floret
- fasttext
- feature-extraction
- token-classification
language:
- hu
license: cc-by-sa-4.0
model-index:
- name: hu_vectors_web_lg
results:
- task:
name: Analogical questions
type: token-classification
metrics:
- name: Accuracy
type: accuracy
value: 0.1094
- name: MRR
type: mrr
value: 0.2107
Hungarian word vectors for HuSpaCy.
The model is trained on the Hungarian Webcorpus 2.0 using floret. Vectors are published in fasttext and floret format.
Feature | Description |
---|---|
Name | hu_vectors_web_lg |
Version | 1.0 |
Vectors | 200000 keys (300 dimensions) |
Sources | Hungarian Webcorpus 2.0 (Dávid Márk Nemeskey (SZTAKI-HLT)) |
License | cc-by-sa-4.0 |
Author | SzegedAI, MILAB |
Accuracy
Type | Score |
---|---|
ACC |
10.94 |
MRR |
0.2107 |