Model: tomaarsen/splade-distilbert-base-uncased-miriad-answers
Author: tomaarsen
Pipeline: feature-extraction
Library: sentence-transformers
Tags: sentence-transformers, safetensors, distilbert, sparse-encoder, sparse, splade, generated_from_trainer, dataset_size:100000, loss:SpladeLoss, loss:SparseMultipleNegativesRankingLoss, loss:FlopsLoss, feature-extraction, en, dataset:tomaarsen/miriad-4.4M-split, arxiv:1908.10084, arxiv:2205.04733, arxiv:1705.00652, arxiv:2004.05665, base_model:distilbert/distilbert-base-uncased, base_model:finetune:distilbert/distilbert-base-uncased, license:apache-2.0, model-index, co2_eq_emissions, text-embeddings-inference, endpoints_compatible, region:us
Base models (finetune): id: distilbert/distilbert-base-uncased
Card metadata: language: en
license: apache-2.0
tags: sentence-transformers, sparse-encoder, sparse, splade, generated_from_trainer, dataset_size:100000, loss:SpladeLoss, loss:SparseMultipleNegativesRankingLoss, loss:FlopsLoss
base_model: distilbert/distilbert-base-uncased
widget: Citicoline promotes changes in brain dopamine (DA) and acetylcholine (ACh) receptors and modulates their release. In aging mice, citicoline administration led to a partial recovery of receptor function and density, with a dose-dependent increase in DA and ACh receptor densities. This is significant because aging is associated with a decrease in the number of DA and ACh receptors. Additionally, citicoline may reduce dopaminergic cell loss and stimulate acetylcholine synthesis, indicating its potential role in modulating neurotransmitter metabolism., After surgery, all patients were transferred to the intensive care unit and received mechanical ventilation support. Invasive arterial pressure and electrocardiogram (ECG) monitorization were performed, and daily ECGs were recorded. Patients with acceptable levels of bleeding started anticoagulation treatment with enoxaparin and warfarin. Some patients also received an oral beta-blocker (metoprolol) for rhythm control. ECG recordings were made every six hours in the early postoperative period., How does the prognosis for hip fractures differ between Japanese patients and Caucasian populations?
, The diagnosis of fibromyalgia is currently assessed using the 2016 revised FM criteria, which is based on the Fibromyalgia Research Criteria. However, due to the level of subjectivity in the diagnostic rubric, objective key causal factors/mechanisms and measures to confirm the diagnosis have not been identified., Individuals with sports-related concussions may experience a range of symptoms that can affect their physical, cognitive, behavioral, and emotional health. These symptoms can include dizziness, headache, poor sleep, and emotional problems. While 90% of people with a sports concussion recover within 7 to 10 days, at least 10% may experience prolonged symptoms. It is important to evaluate these symptoms as they can provide valuable information for estimating prognosis and predicting the time course and extent of expected recovery.
datasets: tomaarsen/miriad-4.4M-split
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: 46.07984513287871
energy_consumed: 0.11854800112394254
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: 0.375
hardware_used: 1 x NVIDIA GeForce RTX 3090
model-index: name: DistilBERT base trained on MIRIAD question-answer tuples
results: task: type: sparse-information-retrieval
name: Sparse Information Retrieval
dataset: name: miriad eval
type: miriad_eval
metrics: type: dot_accuracy@1
value: 0.9747
name: Dot Accuracy@1
verified: no, type: dot_accuracy@3
value: 0.9919
name: Dot Accuracy@3
verified: no, type: dot_accuracy@5
value: 0.9945
name: Dot Accuracy@5
verified: no, type: dot_accuracy@10
value: 0.9964
name: Dot Accuracy@10
verified: no, type: dot_precision@1
value: 0.9747
name: Dot Precision@1
verified: no, type: dot_precision@3
value: 0.3306333333333333
name: Dot Precision@3
verified: no, type: dot_precision@5
value: 0.19890000000000005
name: Dot Precision@5
verified: no, type: dot_precision@10
value: 0.09964000000000003
name: Dot Precision@10
verified: no, type: dot_recall@1
value: 0.9747
name: Dot Recall@1
verified: no, type: dot_recall@3
value: 0.9919
name: Dot Recall@3
verified: no, type: dot_recall@5
value: 0.9945
name: Dot Recall@5
verified: no, type: dot_recall@10
value: 0.9964
name: Dot Recall@10
verified: no, type: dot_ndcg@10
value: 0.9867362731234464
name: Dot Ndcg@10
verified: no, type: dot_mrr@10
value: 0.9835060714285719
name: Dot Mrr@10
verified: no, type: dot_map@100
value: 0.9836646878971993
name: Dot Map@100
verified: no, type: query_active_dims
value: 28.703100204467773
name: Query Active Dims
verified: no, type: query_sparsity_ratio
value: 0.999059593073702
name: Query Sparsity Ratio
verified: no, type: corpus_active_dims
value: 64.08699798583984
name: Corpus Active Dims
verified: no, type: corpus_sparsity_ratio
value: 0.9979003014879155
name: Corpus Sparsity Ratio
verified: no, task: type: sparse-information-retrieval
name: Sparse Information Retrieval
dataset: name: miriad test
type: miriad_test
metrics: type: dot_accuracy@1
value: 0.9765
name: Dot Accuracy@1
verified: no, type: dot_accuracy@3
value: 0.9931
name: Dot Accuracy@3
verified: no, type: dot_accuracy@5
value: 0.996
name: Dot Accuracy@5
verified: no, type: dot_accuracy@10
value: 0.998
name: Dot Accuracy@10
verified: no, type: dot_precision@1
value: 0.9765
name: Dot Precision@1
verified: no, type: dot_precision@3
value: 0.3310333333333333
name: Dot Precision@3
verified: no, type: dot_precision@5
value: 0.19920000000000004
name: Dot Precision@5
verified: no, type: dot_precision@10
value: 0.09980000000000003
name: Dot Precision@10
verified: no, type: dot_recall@1
value: 0.9765
name: Dot Recall@1
verified: no, type: dot_recall@3
value: 0.9931
name: Dot Recall@3
verified: no, type: dot_recall@5
value: 0.996
name: Dot Recall@5
verified: no, type: dot_recall@10
value: 0.998
name: Dot Recall@10
verified: no, type: dot_ndcg@10
value: 0.9883079218290853
name: Dot Ndcg@10
verified: no, type: dot_mrr@10
value: 0.985087023809524
name: Dot Mrr@10
verified: no, type: dot_map@100
value: 0.9851723804723872
name: Dot Map@100
verified: no, type: query_active_dims
value: 28.688600540161133
name: Query Active Dims
verified: no, type: query_sparsity_ratio
value: 0.9990600681298683
name: Query Sparsity Ratio
verified: no, type: corpus_active_dims
value: 64.32160186767578
name: Corpus Active Dims
verified: no, type: corpus_sparsity_ratio
value: 0.9978926151016422
name: Corpus Sparsity Ratio
verified: no
Likes: 0 | All-time downloads: 35
Created: 2025-06-16 15:46:45