Hugging Face model: yosefw/SPLADE-BERT-Tiny-BS256-domain-adapted
Author: yosefw
Created: 2025-11-07 07:52:54
Last modified: 2025-11-07 19:56:04
Pipeline: feature-extraction
Library: sentence-transformers
Likes: 0 | Downloads: 125
Tags: sentence-transformers, tensorboard, safetensors, bert, sparse-encoder, sparse, splade, generated_from_trainer, dataset_size:1056494, loss:SpladeLoss, loss:SparseMultipleNegativesRankingLoss, loss:FlopsLoss, feature-extraction, en, arxiv:1908.10084, arxiv:2205.04733, arxiv:1705.00652, arxiv:2004.05665, base_model:yosefw/bert-tiny-adapted-msmarco, base_model:finetune:yosefw/bert-tiny-adapted-msmarco, license:mit, model-index, text-embeddings-inference, endpoints_compatible, region:us
Base model relation: finetune
Base models: id: yosefw/bert-tiny-adapted-msmarco
Card metadata:
language: en
license: mit
tags: sentence-transformers, sparse-encoder, sparse, splade, generated_from_trainer, dataset_size:1056494, loss:SpladeLoss, loss:SparseMultipleNegativesRankingLoss, loss:FlopsLoss
base_model: yosefw/bert-tiny-adapted-msmarco
pipeline_tag: feature-extraction
library_name: sentence-transformers
metrics: dot_accuracy@1, dot_accuracy@3, dot_accuracy@5, dot_accuracy@10, dot_precision@1, dot_precision@3, dot_precision@5, dot_precision@10, dot_recall@1, dot_recall@3, dot_recall@5, dot_recall@10, dot_ndcg@10, dot_mrr@10, dot_map@100, query_active_dims, query_sparsity_ratio, corpus_active_dims, corpus_sparsity_ratio, avg_flops