Hugging Face model: Deehan1866/finetuned-sentence-transformers-multi-qa-mpnet-base-dot-v1
Author: Deehan1866
Created: 2024-07-15 06:13:33
Last modified: 2024-07-15 06:13:43
Pipeline: sentence-similarity
Library: sentence-transformers
Likes: 0 | Downloads: 91
Tags: sentence-transformers, safetensors, mpnet, sentence-similarity, feature-extraction, generated_from_trainer, dataset_size:7004, loss:SoftmaxLoss, en, dataset:PiC/phrase_similarity, arxiv:1908.10084, base_model:sentence-transformers/multi-qa-mpnet-base-dot-v1, base_model:finetune:sentence-transformers/multi-qa-mpnet-base-dot-v1, model-index, text-embeddings-inference, endpoints_compatible, region:us
Base model relation: finetune
Base models: id: sentence-transformers/multi-qa-mpnet-base-dot-v1
Card metadata:
base_model: sentence-transformers/multi-qa-mpnet-base-dot-v1
datasets: PiC/phrase_similarity
language: en
library_name: sentence-transformers
metrics: cosine_accuracy, cosine_accuracy_threshold, cosine_f1, cosine_f1_threshold, cosine_precision, cosine_recall, cosine_ap, dot_accuracy, dot_accuracy_threshold, dot_f1, dot_f1_threshold, dot_precision, dot_recall, dot_ap, manhattan_accuracy, manhattan_accuracy_threshold, manhattan_f1, manhattan_f1_threshold, manhattan_precision, manhattan_recall, manhattan_ap, euclidean_accuracy, euclidean_accuracy_threshold, euclidean_f1, euclidean_f1_threshold, euclidean_precision, euclidean_recall, euclidean_ap, max_accuracy, max_accuracy_threshold, max_f1, max_f1_threshold, max_precision, max_recall, max_ap
pipeline_tag: sentence-similarity
tags: sentence-transformers, sentence-similarity, feature-extraction, generated_from_trainer, dataset_size:7004, loss:SoftmaxLoss