| 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 | | |