Model: mohamed20-AI/result_model
Author: mohamed20-AI
Pipeline: sentence-similarity
Library: sentence-transformers
Tags: sentence-transformers, safetensors, xlm-roberta, sentence-similarity, feature-extraction, generated_from_trainer, dataset_size:80, loss:CoSENTLoss, en, dataset:sentence-transformers/all-nli, arxiv:1908.10084, base_model:abdeljalilELmajjodi/model, base_model:finetune:abdeljalilELmajjodi/model, model-index, text-embeddings-inference, endpoints_compatible, region:us
Base models (finetune): id: abdeljalilELmajjodi/model
Card metadata: language: en
tags: sentence-transformers, sentence-similarity, feature-extraction, generated_from_trainer, dataset_size:80, loss:CoSENTLoss
base_model: abdeljalilELmajjodi/model
widget: source_sentence: Two adults, one female in white, with shades and one male, gray clothes, walking across a street, away from a eatery with a blurred image of a dark colored red shirted person in the foreground.
sentences: Two people ride bicycles into a tunnel., There are people just getting on a train, There are children present, source_sentence: A man with blond-hair, and a brown shirt drinking out of a public water fountain.
sentences: Some women are hugging on vacation., The family is sitting down for dinner., A blond man wearing a brown shirt is reading a book on a bench in the park, source_sentence: Two women who just had lunch hugging and saying goodbye.
sentences: There are two woman in this picture., Two adults run across the street to get away from a red shirted person chasing them., The woman is wearing black., source_sentence: A woman in a green jacket and hood over her head looking towards a valley.
sentences: The woman is wearing green., A woman in white., A man is drinking juice., source_sentence: An older man sits with his orange juice at a small table in a coffee shop while employees in bright colored shirts smile in the background.
sentences: They are protesting outside the capital., A couple are playing frisbee with a young child at the beach., A boy flips a burger.
datasets: sentence-transformers/all-nli
pipeline_tag: sentence-similarity
library_name: sentence-transformers
metrics: pearson_cosine, spearman_cosine
model-index: name: SentenceTransformer based on abdeljalilELmajjodi/model
results: task: type: semantic-similarity
name: Semantic Similarity
dataset: name: pair score evaluator dev
type: pair-score-evaluator-dev
metrics: type: pearson_cosine
value: -0.12381534704198764
name: Pearson Cosine
verified: no, type: spearman_cosine
value: -0.06398099132915955
name: Spearman Cosine
verified: no
Likes: 0 | All-time downloads: 38
Created: 2025-05-24 07:09:21