hu_vectors_web_md / README.md
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metadata
tags:
  - spacy
  - floret
  - fasttext
  - feature-extraction
  - token-classification
language:
  - hu
license: cc-by-sa-4.0
model-index:
  - name: hu_vectors_web_md
    results:
      - task:
          name: Analogical questions
          type: token-classification
        metrics:
          - name: Accuracy
            type: accuracy
            value: 0.101
          - name: MRR
            type: mrr
            value: 0.1772

Hungarian word vectors for HuSpaCy.

The model is trained on the Hungarian Webcorpus 2.0 using floret with the following hyperparameters: floret cbow -dim 100 -mode floret -bucket 200000 -minn 4 -maxn 6 -minCount 100 -neg 10 -hashCount 2 -lr 0.1 -thread 30 -epoch 5

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 10.10
MRR 0.1772