Hugging Face model: NetoAISolutions/T-VEC
Author: NetoAISolutions
Created: 2025-04-22 12:40:38
Last modified: 2025-04-25 05:50:48
Library: sentence-transformers
Likes: 21 | Downloads: 3
Tags: sentence-transformers, safetensors, qwen2, text-embeddings, telecom, domain-adaptation, triplet-loss, transformer, semantic-search, domain-specific, contrastive-learning, simcse, bio-bert, don’t-stop-pretraining, custom_code, en, arxiv:2504.16460, arxiv:1703.07737, arxiv:2104.08821, base_model:Alibaba-NLP/gte-Qwen2-1.5B-instruct, base_model:finetune:Alibaba-NLP/gte-Qwen2-1.5B-instruct, license:mit, model-index, region:us
Base model relation: finetune
Base models: id: Alibaba-NLP/gte-Qwen2-1.5B-instruct
Card metadata:
license: mit
language: en
tags: text-embeddings, telecom, domain-adaptation, triplet-loss, transformer, semantic-search, sentence-transformers, domain-specific, contrastive-learning, simcse, bio-bert, don’t-stop-pretraining
metrics: name: Telecom Triplet Score
type: accuracy
value: 0.938
verified: no, name: Average MTEB Score
type: accuracy
value: 0.825
verified: no, name: Average STS Score
type: spearman
value: 82.19
verified: no, name: AllNLI Triplet Score
type: accuracy
value: 0.615
verified: no
base_model: Alibaba-NLP/gte-Qwen2-1.5B-instruct