SentenceTransformer

This is a sentence-transformers model trained. It maps sentences & paragraphs to a 312-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
Maximum Sequence Length: 1024 tokens
Output Dimensionality: 312 tokens
Similarity Function: Cosine Similarity

Full Model Architecture

SentenceTransformer(
  (0): Transformer({'max_seq_length': 1024, 'do_lower_case': False}) with Transformer model: RobertaModel 
  (1): Pooling({'word_embedding_dimension': 312, 'pooling_mode_cls_token': False, 'pooling_mode_mean_tokens': True, 'pooling_mode_max_tokens': False, 'pooling_mode_mean_sqrt_len_tokens': False, 'pooling_mode_weightedmean_tokens': False, 'pooling_mode_lasttoken': False, 'include_prompt': True})
  (2): Normalize()
)

Usage

Direct Usage (Sentence Transformers)

First install the Sentence Transformers library:

pip install -U sentence-transformers

Then you can load this model and run inference.

from sentence_transformers import SentenceTransformer

# Download from the 🤗 Hub
model = SentenceTransformer("mlsa-iai-msu-lab/sci-rus-tiny3.1")
# Run inference
sentences = [
    'The weather is lovely today.',
    "It's so sunny outside!",
    'He drove to the stadium.',
]
embeddings = model.encode(sentences)
print(embeddings.shape)
# [3, 312]

# Get the similarity scores for the embeddings
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [3, 3]

Metrics

RuSciBench few shoot

model name	ru	en	total avg
mlsa-iai-msu-lab/sci-rus-tiny	28.37	27.87	60.79
mlsa-iai-msu-lab/sci-rus-small-cite	38.4	38.68	67.34
mlsa-iai-msu-lab/sci-rus-tiny3-cite	39.36	39.5	67.58
mlsa-iai-msu-lab/sci-rus-tiny3.5	38.93	39.27	69.17
mlsa-iai-msu-lab/sci-rus-tiny3.1	39	39.92	69.36

RuSciBench

model_name	ru	en	total avg
mlsa-iai-msu-lab/sci-rus-tiny	35.77	35.21	64.48
mlsa-iai-msu-lab/sci-rus-tiny3-cite	44.55	44.79	70.2
mlsa-iai-msu-lab/sci-rus-small-cite	44.53	44.81	70.4
mlsa-iai-msu-lab/sci-rus-tiny3.1	44.52	45.15	72.05
mlsa-iai-msu-lab/sci-rus-tiny3.5	44.48	45.4	72.09