Hugging Face model: tomaarsen/splade-cocondenser-selfdistil-msmarco-kldiv-marginmse-minilm-temp-2
Author: tomaarsen
Created: 2025-06-26 07:12:02
Last modified: 2025-06-26 07:12:18
Pipeline: feature-extraction
Library: sentence-transformers
Likes: 0 | Downloads: 93
Tags: sentence-transformers, safetensors, bert, sparse-encoder, sparse, splade, generated_from_trainer, dataset_size:99000, loss:SpladeLoss, loss:SparseDistillKLDivMarginMSELoss, loss:FlopsLoss, feature-extraction, en, arxiv:1908.10084, arxiv:2205.04733, arxiv:2004.05665, base_model:naver/splade-cocondenser-selfdistil, base_model:finetune:naver/splade-cocondenser-selfdistil, license:apache-2.0, model-index, co2_eq_emissions, text-embeddings-inference, endpoints_compatible, region:us
Base model relation: finetune
Base models: id: naver/splade-cocondenser-selfdistil
Card metadata:
language: en
license: apache-2.0
tags: sentence-transformers, sparse-encoder, sparse, splade, generated_from_trainer, dataset_size:99000, loss:SpladeLoss, loss:SparseDistillKLDivMarginMSELoss, loss:FlopsLoss
base_model: naver/splade-cocondenser-selfdistil
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
co2_eq_emissions: emissions: 74.24181475845897
energy_consumed: 0.19099931247706203
source: codecarbon
training_type: fine-tuning
on_cloud: no
cpu_model: 13th Gen Intel(R) Core(TM) i7-13700K
ram_total_size: 31.777088165283203
hours_used: 0.538
hardware_used: 1 x NVIDIA GeForce RTX 3090