Model: tomaarsen/splade-cocondenser-msmarco-kldiv-minilm-threshold-student-div-30
Author: tomaarsen
Pipeline: feature-extraction
Library: sentence-transformers
Tags: sentence-transformers, safetensors, bert, sparse-encoder, sparse, splade, generated_from_trainer, dataset_size:99000, loss:SpladeLoss, loss:SparseDistillKLDivLoss, loss:FlopsLoss, feature-extraction, en, arxiv:1908.10084, arxiv:2205.04733, arxiv:2010.11386, arxiv:2004.05665, base_model:Luyu/co-condenser-marco, base_model:finetune:Luyu/co-condenser-marco, license:apache-2.0, model-index, co2_eq_emissions, text-embeddings-inference, endpoints_compatible, region:us
Base models (finetune): id: Luyu/co-condenser-marco
Card metadata: language: en
license: apache-2.0
tags: sentence-transformers, sparse-encoder, sparse, splade, generated_from_trainer, dataset_size:99000, loss:SpladeLoss, loss:SparseDistillKLDivLoss, loss:FlopsLoss
base_model: Luyu/co-condenser-marco
widget: The ejection fraction may decrease if: 1  You have weakness of your heart muscle, such as dilated cardiomyopathy, which can be caused by a heart muscle problem, familial (genetic) cardiomyopathy, or systemic illnesses. 2  A heart attack has damaged your heart.  You have problems with your heart's valves., One thing we avoided: Lots of alternative slime recipes swap Borax for liquid starch, shampoo, body wash, hand soap, contact lens solution, or laundry detergent. Those may seem benign â and they might be â but many of them contain derivatives or relatives of sodium borate too., how do i get my mvr in pa, English is a language whose vocabulary is the composite of a surprising range of influences. We have pillaged words from Latin, Greek, Dutch, Arabic, Old Norse, Spanish, Italian, Hindi, and more besides to make English what it is today., Weed Eater was a string trimmer company founded in 1971 in Houston, Texas by George C. Ballas, Sr. , the inventor of the device. The idea for the Weed Eater trimmer came to him from the spinning nylon bristles of an automatic car wash.He thought that he could come up with a similar technique to protect the bark on trees that he was trimming around. His company was eventually bought by Emerson Electric and merged with Poulan.Poulan/Weed Eater was later purchased by Electrolux, which spun off the outdoors division as Husqvarna AB in 2006.Inventor Ballas was the father of champion ballroom dancer Corky Ballas and the grandfather of Dancing with the Stars dancer Mark Ballas.George Ballas died on June 25, 2011.he idea for the Weed Eater trimmer came to him from the spinning nylon bristles of an automatic car wash. He thought that he could come up with a similar technique to protect the bark on trees that he was trimming around. His company was eventually bought by Emerson Electric and merged with Poulan.
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: 74.71089566134802
energy_consumed: 0.19220610046088782
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: 0.539
hardware_used: 1 x NVIDIA GeForce RTX 3090
model-index: name: CoCondenser finetuned on MS MARCO
results: task: type: sparse-information-retrieval
name: Sparse Information Retrieval
dataset: name: NanoMSMARCO
type: NanoMSMARCO
metrics: type: dot_accuracy@1
value: 0.34
name: Dot Accuracy@1
verified: no, type: dot_accuracy@3
value: 0.52
name: Dot Accuracy@3
verified: no, type: dot_accuracy@5
value: 0.54
name: Dot Accuracy@5
verified: no, type: dot_accuracy@10
value: 0.74
name: Dot Accuracy@10
verified: no, type: dot_precision@1
value: 0.34
name: Dot Precision@1
verified: no, type: dot_precision@3
value: 0.17333333333333337
name: Dot Precision@3
verified: no, type: dot_precision@5
value: 0.10800000000000001
name: Dot Precision@5
verified: no, type: dot_precision@10
value: 0.07400000000000001
name: Dot Precision@10
verified: no, type: dot_recall@1
value: 0.34
name: Dot Recall@1
verified: no, type: dot_recall@3
value: 0.52
name: Dot Recall@3
verified: no, type: dot_recall@5
value: 0.54
name: Dot Recall@5
verified: no, type: dot_recall@10
value: 0.74
name: Dot Recall@10
verified: no, type: dot_ndcg@10
value: 0.5151201375716542
name: Dot Ndcg@10
verified: no, type: dot_mrr@10
value: 0.4463492063492063
name: Dot Mrr@10
verified: no, type: dot_map@100
value: 0.4595106107025853
name: Dot Map@100
verified: no, type: query_active_dims
value: 238.27999877929688
name: Query Active Dims
verified: no, type: query_sparsity_ratio
value: 0.9921931721781241
name: Query Sparsity Ratio
verified: no, type: corpus_active_dims
value: 391.45013427734375
name: Corpus Active Dims
verified: no, type: corpus_sparsity_ratio
value: 0.9871748203172355
name: Corpus Sparsity Ratio
verified: no, task: type: sparse-information-retrieval
name: Sparse Information Retrieval
dataset: name: NanoNFCorpus
type: NanoNFCorpus
metrics: type: dot_accuracy@1
value: 0.4
name: Dot Accuracy@1
verified: no, type: dot_accuracy@3
value: 0.5
name: Dot Accuracy@3
verified: no, type: dot_accuracy@5
value: 0.56
name: Dot Accuracy@5
verified: no, type: dot_accuracy@10
value: 0.66
name: Dot Accuracy@10
verified: no, type: dot_precision@1
value: 0.4
name: Dot Precision@1
verified: no, type: dot_precision@3
value: 0.31999999999999995
name: Dot Precision@3
verified: no, type: dot_precision@5
value: 0.304
name: Dot Precision@5
verified: no, type: dot_precision@10
value: 0.252
name: Dot Precision@10
verified: no, type: dot_recall@1
value: 0.040602509271330245
name: Dot Recall@1
verified: no, type: dot_recall@3
value: 0.09295145130200105
name: Dot Recall@3
verified: no, type: dot_recall@5
value: 0.1099681919800296
name: Dot Recall@5
verified: no, type: dot_recall@10
value: 0.13927715456872145
name: Dot Recall@10
verified: no, type: dot_ndcg@10
value: 0.3170055784876673
name: Dot Ndcg@10
verified: no, type: dot_mrr@10
value: 0.47293650793650793
name: Dot Mrr@10
verified: no, type: dot_map@100
value: 0.1511067554191558
name: Dot Map@100
verified: no, type: query_active_dims
value: 179.05999755859375
name: Query Active Dims
verified: no, type: query_sparsity_ratio
value: 0.9941334120451283
name: Query Sparsity Ratio
verified: no, type: corpus_active_dims
value: 462.0961608886719
name: Corpus Active Dims
verified: no, type: corpus_sparsity_ratio
value: 0.9848602266925931
name: Corpus Sparsity Ratio
verified: no, task: type: sparse-information-retrieval
name: Sparse Information Retrieval
dataset: name: NanoNQ
type: NanoNQ
metrics: type: dot_accuracy@1
value: 0.42
name: Dot Accuracy@1
verified: no, type: dot_accuracy@3
value: 0.6
name: Dot Accuracy@3
verified: no, type: dot_accuracy@5
value: 0.68
name: Dot Accuracy@5
verified: no, type: dot_accuracy@10
value: 0.78
name: Dot Accuracy@10
verified: no, type: dot_precision@1
value: 0.42
name: Dot Precision@1
verified: no, type: dot_precision@3
value: 0.20666666666666667
name: Dot Precision@3
verified: no, type: dot_precision@5
value: 0.14400000000000002
name: Dot Precision@5
verified: no, type: dot_precision@10
value: 0.084
name: Dot Precision@10
verified: no, type: dot_recall@1
value: 0.4
name: Dot Recall@1
verified: no, type: dot_recall@3
value: 0.58
name: Dot Recall@3
verified: no, type: dot_recall@5
value: 0.66
name: Dot Recall@5
verified: no, type: dot_recall@10
value: 0.76
name: Dot Recall@10
verified: no, type: dot_ndcg@10
value: 0.586401227135889
name: Dot Ndcg@10
verified: no, type: dot_mrr@10
value: 0.5394365079365079
name: Dot Mrr@10
verified: no, type: dot_map@100
value: 0.5354341583513578
name: Dot Map@100
verified: no, type: query_active_dims
value: 227.5800018310547
name: Query Active Dims
verified: no, type: query_sparsity_ratio
value: 0.9925437388824109
name: Query Sparsity Ratio
verified: no, type: corpus_active_dims
value: 453.00238037109375
name: Corpus Active Dims
verified: no, type: corpus_sparsity_ratio
value: 0.9851581685220139
name: Corpus Sparsity Ratio
verified: no, task: type: sparse-nano-beir
name: Sparse Nano BEIR
dataset: name: NanoBEIR mean
type: NanoBEIR_mean
metrics: type: dot_accuracy@1
value: 0.38666666666666666
name: Dot Accuracy@1
verified: no, type: dot_accuracy@3
value: 0.54
name: Dot Accuracy@3
verified: no, type: dot_accuracy@5
value: 0.5933333333333334
name: Dot Accuracy@5
verified: no, type: dot_accuracy@10
value: 0.7266666666666666
name: Dot Accuracy@10
verified: no, type: dot_precision@1
value: 0.38666666666666666
name: Dot Precision@1
verified: no, type: dot_precision@3
value: 0.2333333333333333
name: Dot Precision@3
verified: no, type: dot_precision@5
value: 0.18533333333333335
name: Dot Precision@5
verified: no, type: dot_precision@10
value: 0.1366666666666667
name: Dot Precision@10
verified: no, type: dot_recall@1
value: 0.2602008364237767
name: Dot Recall@1
verified: no, type: dot_recall@3
value: 0.39765048376733364
name: Dot Recall@3
verified: no, type: dot_recall@5
value: 0.4366560639933432
name: Dot Recall@5
verified: no, type: dot_recall@10
value: 0.5464257181895739
name: Dot Recall@10
verified: no, type: dot_ndcg@10
value: 0.4728423143984035
name: Dot Ndcg@10
verified: no, type: dot_mrr@10
value: 0.48624074074074075
name: Dot Mrr@10
verified: no, type: dot_map@100
value: 0.3820171748243663
name: Dot Map@100
verified: no, type: query_active_dims
value: 214.97333272298178
name: Query Active Dims
verified: no, type: query_sparsity_ratio
value: 0.9929567743685545
name: Query Sparsity Ratio
verified: no, type: corpus_active_dims
value: 431.2424200317205
name: Corpus Active Dims
verified: no, type: corpus_sparsity_ratio
value: 0.9858710956021323
name: Corpus Sparsity Ratio
verified: no
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Created: 2025-06-25 16:05:38