readme: ---
  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: 0.1010
      - 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](https://hlt.bme.hu/en/resources/webcorpus2) (Dávid Márk Nemeskey (SZTAKI-HLT)) |
  | **License** | `cc-by-sa-4.0` |
  | **Author** | [SzegedAI, MILAB](https://github.com/huspacy/huspacy) |
  
  
  ### Accuracy
  
  | Type | Score |
  | --- | --- |
  | `ACC` | 10.10 |
  | `MRR` | 0.1772 |
  