Model: abhiraj1/eval_triple_encoder
Author: abhiraj1
Pipeline: sentence-similarity
Library: sentence-transformers
Tags: sentence-transformers, safetensors, bert, sentence-similarity, feature-extraction, generated_from_trainer, dataset_size:985575, loss:CosineSimilarityTripleEncoderLoss, loss:ContrastiveLoss, arxiv:1908.10084, base_model:UKPLab/triple-encoders-dailydialog, base_model:finetune:UKPLab/triple-encoders-dailydialog, text-embeddings-inference, endpoints_compatible, region:us
Base models (finetune): id: UKPLab/triple-encoders-dailydialog
Card metadata: base_model: UKPLab/triple-encoders-dailydialog
library_name: sentence-transformers
pipeline_tag: sentence-similarity
tags: sentence-transformers, sentence-similarity, feature-extraction, generated_from_trainer, dataset_size:985575, loss:CosineSimilarityTripleEncoderLoss, loss:ContrastiveLoss
widget: source_sentence: A small white and tan dog licking up peanut butter.
sentences: Someone is making dinner in the kitchen., Someone put peanut butter on the dog's nose because that's always good for a laugh., Two dogs are eating food from a bowl in a kitchen, source_sentence: A person in a heavy coat shoveling snow.
sentences: Someone is holding a rocket launcher., An old person is shoveling snow., The private bar's pro bono work was supported by the judges., source_sentence: [B1] [O] [BEFORE]  
sentences: [B2] [E] [BEFORE]  , [B2] [O] [BEFORE] e, [AFTER] u, source_sentence: [B1] [E] [BEFORE] e
sentences: [B2] [O] [BEFORE] :, [B2] [O] [BEFORE] t, [AFTER] C, source_sentence: [B1] [O] [BEFORE] s
sentences: [B2] [O] [BEFORE] o, [B2] [E] [BEFORE]  , [AFTER] u
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Created: 2024-07-17 16:28:49