Model: tomaarsen/splade-cocondenser-msmarco-kldiv-marginmse-minilm
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:SparseDistillKLDivMarginMSELoss, loss:FlopsLoss, feature-extraction, en, arxiv:1908.10084, arxiv:2205.04733, 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:SparseDistillKLDivMarginMSELoss, 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: 76.4921502486019
energy_consumed: 0.19678867165232466
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: 0.572
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: 0.42
name: Dot Accuracy@1
verified: no, type: dot_accuracy@3
value: 0.66
name: Dot Accuracy@3
verified: no, type: dot_accuracy@5
value: 0.72
name: Dot Accuracy@5
verified: no, type: dot_accuracy@10
value: 0.86
name: Dot Accuracy@10
verified: no, type: dot_precision@1
value: 0.42
name: Dot Precision@1
verified: no, type: dot_precision@3
value: 0.22
name: Dot Precision@3
verified: no, type: dot_precision@5
value: 0.14400000000000002
name: Dot Precision@5
verified: no, type: dot_precision@10
value: 0.08599999999999998
name: Dot Precision@10
verified: no, type: dot_recall@1
value: 0.42
name: Dot Recall@1
verified: no, type: dot_recall@3
value: 0.66
name: Dot Recall@3
verified: no, type: dot_recall@5
value: 0.72
name: Dot Recall@5
verified: no, type: dot_recall@10
value: 0.86
name: Dot Recall@10
verified: no, type: dot_ndcg@10
value: 0.6324223924638577
name: Dot Ndcg@10
verified: no, type: dot_mrr@10
value: 0.5605476190476191
name: Dot Mrr@10
verified: no, type: dot_map@100
value: 0.5669499258594677
name: Dot Map@100
verified: no, type: query_active_dims
value: 23.520000457763672
name: Query Active Dims
verified: no, type: query_sparsity_ratio
value: 0.9992294082806578
name: Query Sparsity Ratio
verified: no, type: corpus_active_dims
value: 257.89471435546875
name: Corpus Active Dims
verified: no, type: corpus_sparsity_ratio
value: 0.9915505302943625
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: 0.6
name: Dot Accuracy@3
verified: no, type: dot_accuracy@5
value: 0.64
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: 0.3933333333333333
name: Dot Precision@3
verified: no, type: dot_precision@5
value: 0.32400000000000007
name: Dot Precision@5
verified: no, type: dot_precision@10
value: 0.268
name: Dot Precision@10
verified: no, type: dot_recall@1
value: 0.04125303781102277
name: Dot Recall@1
verified: no, type: dot_recall@3
value: 0.09673192611467982
name: Dot Recall@3
verified: no, type: dot_recall@5
value: 0.11260651008479015
name: Dot Recall@5
verified: no, type: dot_recall@10
value: 0.13970739938614357
name: Dot Recall@10
verified: no, type: dot_ndcg@10
value: 0.33947862515999055
name: Dot Ndcg@10
verified: no, type: dot_mrr@10
value: 0.5045555555555555
name: Dot Mrr@10
verified: no, type: dot_map@100
value: 0.15568519845281414
name: Dot Map@100
verified: no, type: query_active_dims
value: 19.100000381469727
name: Query Active Dims
verified: no, type: query_sparsity_ratio
value: 0.9993742218602494
name: Query Sparsity Ratio
verified: no, type: corpus_active_dims
value: 472.1259765625
name: Corpus Active Dims
verified: no, type: corpus_sparsity_ratio
value: 0.9845316173067787
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: 0.44
name: Dot Accuracy@1
verified: no, type: dot_accuracy@3
value: 0.76
name: Dot Accuracy@3
verified: no, type: dot_accuracy@5
value: 0.8
name: Dot Accuracy@5
verified: no, type: dot_accuracy@10
value: 0.84
name: Dot Accuracy@10
verified: no, type: dot_precision@1
value: 0.44
name: Dot Precision@1
verified: no, type: dot_precision@3
value: 0.26
name: Dot Precision@3
verified: no, type: dot_precision@5
value: 0.16799999999999998
name: Dot Precision@5
verified: no, type: dot_precision@10
value: 0.08999999999999998
name: Dot Precision@10
verified: no, type: dot_recall@1
value: 0.41
name: Dot Recall@1
verified: no, type: dot_recall@3
value: 0.71
name: Dot Recall@3
verified: no, type: dot_recall@5
value: 0.76
name: Dot Recall@5
verified: no, type: dot_recall@10
value: 0.8
name: Dot Recall@10
verified: no, type: dot_ndcg@10
value: 0.6340883272916141
name: Dot Ndcg@10
verified: no, type: dot_mrr@10
value: 0.5953333333333333
name: Dot Mrr@10
verified: no, type: dot_map@100
value: 0.5778236262824976
name: Dot Map@100
verified: no, type: query_active_dims
value: 27.920000076293945
name: Query Active Dims
verified: no, type: query_sparsity_ratio
value: 0.9990852499811187
name: Query Sparsity Ratio
verified: no, type: corpus_active_dims
value: 285.04986572265625
name: Corpus Active Dims
verified: no, type: corpus_sparsity_ratio
value: 0.9906608392070423
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: 0.42
name: Dot Accuracy@1
verified: no, type: dot_accuracy@3
value: 0.6733333333333333
name: Dot Accuracy@3
verified: no, type: dot_accuracy@5
value: 0.7200000000000001
name: Dot Accuracy@5
verified: no, type: dot_accuracy@10
value: 0.7866666666666666
name: Dot Accuracy@10
verified: no, type: dot_precision@1
value: 0.42
name: Dot Precision@1
verified: no, type: dot_precision@3
value: 0.2911111111111111
name: Dot Precision@3
verified: no, type: dot_precision@5
value: 0.21200000000000005
name: Dot Precision@5
verified: no, type: dot_precision@10
value: 0.148
name: Dot Precision@10
verified: no, type: dot_recall@1
value: 0.29041767927034096
name: Dot Recall@1
verified: no, type: dot_recall@3
value: 0.4889106420382266
name: Dot Recall@3
verified: no, type: dot_recall@5
value: 0.53086883669493
name: Dot Recall@5
verified: no, type: dot_recall@10
value: 0.5999024664620479
name: Dot Recall@10
verified: no, type: dot_ndcg@10
value: 0.5353297816384875
name: Dot Ndcg@10
verified: no, type: dot_mrr@10
value: 0.553478835978836
name: Dot Mrr@10
verified: no, type: dot_map@100
value: 0.43348625019825987
name: Dot Map@100
verified: no, type: query_active_dims
value: 23.513333638509113
name: Query Active Dims
verified: no, type: query_sparsity_ratio
value: 0.999229626707342
name: Query Sparsity Ratio
verified: no, type: corpus_active_dims
value: 316.9347806919857
name: Corpus Active Dims
verified: no, type: corpus_sparsity_ratio
value: 0.9896161856794448
name: Corpus Sparsity Ratio
verified: no
Likes: 0 | All-time downloads: 27
Created: 2025-06-24 12:04:47