Model: tasksource/ModernBERT-base-embed
Author: tasksource
Pipeline: sentence-similarity
Library: sentence-transformers
Tags: sentence-transformers, safetensors, modernbert, sentence-similarity, feature-extraction, generated_from_trainer, dataset_size:6661966, loss:MultipleNegativesRankingLoss, loss:CachedMultipleNegativesRankingLoss, loss:SoftmaxLoss, loss:AnglELoss, loss:CoSENTLoss, loss:CosineSimilarityLoss, en, dataset:tomaarsen/natural-questions-hard-negatives, dataset:tomaarsen/gooaq-hard-negatives, dataset:bclavie/msmarco-500k-triplets, dataset:sentence-transformers/all-nli, dataset:sentence-transformers/msmarco-co-condenser-margin-mse-sym-mnrl-mean-v1, dataset:sentence-transformers/gooaq, dataset:sentence-transformers/natural-questions, dataset:tasksource/merged-2l-nli, dataset:tasksource/merged-3l-nli, dataset:tasksource/zero-shot-label-nli, dataset:MoritzLaurer/dataset_train_nli, dataset:google-research-datasets/paws, dataset:nyu-mll/glue, dataset:mwong/fever-evidence-related, dataset:tasksource/sts-companion, arxiv:1908.10084, arxiv:1705.00652, arxiv:2101.06983, arxiv:2309.12871, base_model:answerdotai/ModernBERT-base, base_model:finetune:answerdotai/ModernBERT-base, text-embeddings-inference, endpoints_compatible, deploy:azure, region:us
Base models (finetune): id: answerdotai/ModernBERT-base
Card metadata: language: en
tags: sentence-transformers, sentence-similarity, feature-extraction, generated_from_trainer, dataset_size:6661966, loss:MultipleNegativesRankingLoss, loss:CachedMultipleNegativesRankingLoss, loss:SoftmaxLoss, loss:AnglELoss, loss:CoSENTLoss, loss:CosineSimilarityLoss
base_model: answerdotai/ModernBERT-base
widget: source_sentence: Daniel went to the kitchen. Sandra went back to the kitchen. Daniel moved to the garden. Sandra grabbed the apple. Sandra went back to the office. Sandra dropped the apple. Sandra went to the garden. Sandra went back to the bedroom. Sandra went back to the office. Mary went back to the office. Daniel moved to the bathroom. Sandra grabbed the apple. Sandra travelled to the garden. Sandra put down the apple there. Mary went back to the bathroom. Daniel travelled to the garden. Mary took the milk. Sandra grabbed the apple. Mary left the milk there. Sandra journeyed to the bedroom. John travelled to the office. John went back to the garden. Sandra journeyed to the garden. Mary grabbed the milk. Mary left the milk. Mary grabbed the milk. Mary went to the hallway. John moved to the hallway. Mary picked up the football. Sandra journeyed to the kitchen. Sandra left the apple. Mary discarded the milk. John journeyed to the garden. Mary dropped the football. Daniel moved to the bathroom. Daniel journeyed to the kitchen. Mary travelled to the bathroom. Daniel went to the bedroom. Mary went to the hallway. Sandra got the apple. Sandra went back to the hallway. Mary moved to the kitchen. Sandra dropped the apple there. Sandra grabbed the milk. Sandra journeyed to the bathroom. John went back to the kitchen. Sandra went to the kitchen. Sandra travelled to the bathroom. Daniel went to the garden. Daniel moved to the kitchen. Sandra dropped the milk. Sandra got the milk. Sandra put down the milk. John journeyed to the garden. Sandra went back to the hallway. Sandra picked up the apple. Sandra got the football. Sandra moved to the garden. Daniel moved to the bathroom. Daniel travelled to the garden. Sandra went back to the bathroom. Sandra discarded the football.
sentences: In the adulthood stage, it can jump, walk, run, The chocolate is bigger than the container., The football before the bathroom was in the garden., source_sentence: Almost everywhere the series converges then .
sentences: The series then converges almost everywhere ., Scrivener dated the manuscript to the 12th century , C. R. Gregory to the 13th century . Currently the manuscript is dated by the INTF to the 12th century ., Both daughters died before he did , Tosca in 1976 and Janear in 1981 ., source_sentence: how are you  i'm doing good thank you you  im not good having cough and colg
sentences: This example tweet expresses the emotion: happiness, This example utterance is about cooking recipies., This example text from a US presidential speech is about macroeconomics, source_sentence: A man is doing pull-ups
sentences: The man is doing exercises in a gym, A black and white dog with a large branch is running in the field, There is no man drawing, source_sentence: A chef is preparing some food
sentences: The man is lifting weights, A chef is preparing a meal, A dog is in a sandy area with the sand that is being stirred up into the air and several plants are in the background
datasets: tomaarsen/natural-questions-hard-negatives, tomaarsen/gooaq-hard-negatives, bclavie/msmarco-500k-triplets, sentence-transformers/all-nli, sentence-transformers/msmarco-co-condenser-margin-mse-sym-mnrl-mean-v1, sentence-transformers/gooaq, sentence-transformers/natural-questions, tasksource/merged-2l-nli, tasksource/merged-3l-nli, tasksource/zero-shot-label-nli, MoritzLaurer/dataset_train_nli, google-research-datasets/paws, nyu-mll/glue, mwong/fever-evidence-related, tasksource/sts-companion
pipeline_tag: sentence-similarity
library_name: sentence-transformers
Likes: 16 | All-time downloads: 3526
Created: 2024-12-25 23:01:29