Hugging Face model: bobox/DeBERTa-small-ST-v1-test-step2
Author: bobox
Created: 2024-08-21 19:22:52
Last modified: 2024-08-21 19:23:13
Pipeline: sentence-similarity
Library: sentence-transformers
Likes: 0 | Downloads: 84
Tags: sentence-transformers, pytorch, deberta-v2, sentence-similarity, feature-extraction, generated_from_trainer, dataset_size:305010, loss:CachedGISTEmbedLoss, en, dataset:jinaai/negation-dataset-v2, dataset:tals/vitaminc, dataset:allenai/scitail, dataset:allenai/sciq, dataset:allenai/qasc, dataset:sentence-transformers/msmarco-msmarco-distilbert-base-v3, dataset:sentence-transformers/natural-questions, dataset:sentence-transformers/trivia-qa, dataset:sentence-transformers/gooaq, dataset:google-research-datasets/paws, arxiv:1908.10084, base_model:bobox/DeBERTa-small-ST-v1-test, base_model:finetune:bobox/DeBERTa-small-ST-v1-test, model-index, text-embeddings-inference, endpoints_compatible, region:us
Base model relation: finetune
Base models: id: bobox/DeBERTa-small-ST-v1-test
Card metadata:
base_model: bobox/DeBERTa-small-ST-v1-test
datasets: jinaai/negation-dataset-v2, tals/vitaminc, allenai/scitail, allenai/sciq, allenai/qasc, sentence-transformers/msmarco-msmarco-distilbert-base-v3, sentence-transformers/natural-questions, sentence-transformers/trivia-qa, sentence-transformers/gooaq, google-research-datasets/paws
language: en
library_name: sentence-transformers
metrics: pearson_cosine, spearman_cosine, pearson_manhattan, spearman_manhattan, pearson_euclidean, spearman_euclidean, pearson_dot, spearman_dot, pearson_max, spearman_max, 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:305010, loss:CachedGISTEmbedLoss