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 with the following hyperparameters: floret cbow -dim 300 -mode floret -bucket 200000 -minn 4 -maxn 6 -minCount 100 -neg 10 -hashCount 2 -lr 0.01 -thread 70 -epoch 40
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 |