Model: abdeljalilELmajjodi/result_model
Author: abdeljalilELmajjodi
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: There are no women in the picture., A man is drinking juice., A couple are playing with a young child outside., source_sentence: A man, woman, and child enjoying themselves on a beach.
sentences: A woman eats a banana and walks across a street, and there is a man trailing behind her., Two groups of rival gang members flipped each other off., A family of three is at the mall shopping., source_sentence: Woman in white in foreground and a man slightly behind walking with a sign for John's Pizza and Gyro in the background.
sentences: The woman is wearing white., Nobody has food., A team is trying to score the games winning out., source_sentence: Children smiling and waving at camera
sentences: They are smiling at their parents, A man and a woman walk down a crowded city street., Two women are at a restaurant drinking wine., source_sentence: A couple playing with a little boy on the beach.
sentences: two coworkers cross pathes on a street, There are women showing affection., A couple watch a little girl play by herself on the beach.
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: -0.04712993479942322
name: Pearson Cosine
verified: no, type: spearman_cosine
value: 0.16311754860587066
name: Spearman Cosine
verified: no
Likes: 0 | All-time downloads: 32
Created: 2025-05-02 16:17:20