Model: NetoAISolutions/T-VEC
Author: NetoAISolutions
Library: sentence-transformers
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 models (finetune): 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
model-index: name: T-VEC
results: task: type: text-embedding
name: Telecom Triplet Benchmark
dataset: type: custom
name: Telecom Triplet Benchmark
metrics: name: Telecom Triplet Score
type: accuracy
value: 0.938
verified: no, task: type: text-embedding
name: MTEB Benchmark
dataset: type: openai_humaneval
name: MTEB Benchmark
metrics: name: Average MTEB Score
type: accuracy
value: 0.825
verified: no, task: type: text-embedding
name: STS Benchmark
dataset: type: openai_humaneval
name: STS Benchmark
metrics: name: Average STS Score
type: spearman
value: 82.19
verified: no, task: type: text-embedding
name: AllNLI Triplet
dataset: type: openai_humaneval
name: AllNLI Triplet
metrics: name: Triplet Score
type: accuracy
value: 0.615
verified: no
extra_gated_prompt: Please provide answers to the below questions to gain access to the model
extra_gated_fields: Company: text
Full Name: text
Email: text
I want to use this model for: type: select
options: Research, Education, Commercial, label: Other
value: other
Likes: 17 | All-time downloads: 2359
Created: 2025-04-22 12:40:38