---
tags:
- sentence-transformers
- sentence-similarity
- feature-extraction
- generated_from_trainer
- dataset_size:500000
- loss:CosineSimilarityLoss
base_model: kinit/slovakbert-sts-stsb


pipeline_tag: sentence-similarity
library_name: sentence-transformers
---

# SentenceTransformer based on kinit/slovakbert-sts-stsb

This is a [sentence-transformers](https://www.SBERT.net) model finetuned from [kinit/slovakbert-sts-stsb](https://huggingface.co/kinit/slovakbert-sts-stsb). It maps sentences & paragraphs to a 768-dimensional dense vector space and can be used for semantic textual similarity, semantic search, paraphrase mining, text classification, clustering, and more.

## Model Details

### Model Description
- **Model Type:** Sentence Transformer
- **Base model:** [kinit/slovakbert-sts-stsb](https://huggingface.co/kinit/slovakbert-sts-stsb) <!-- at revision 770633080dda1d1867e7179a456ed53138280c08 -->
- **Maximum Sequence Length:** 256 tokens
- **Output Dimensionality:** 768 dimensions
- **Similarity Function:** Cosine Similarity
<!-- - **Training Dataset:** Unknown -->
<!-- - **Language:** Unknown -->
<!-- - **License:** Unknown -->

### Model Sources

- **Documentation:** [Sentence Transformers Documentation](https://sbert.net)
- **Repository:** [Sentence Transformers on GitHub](https://github.com/UKPLab/sentence-transformers)
- **Hugging Face:** [Sentence Transformers on Hugging Face](https://huggingface.co/models?library=sentence-transformers)