Model: tomaarsen/splade-cocondenser-msmarco-kldiv-minilm-temp-3-3
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: 73.87900982296586
energy_consumed: 0.19006593694646762
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: 0.531
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: 0.38
name: Dot Accuracy@1
verified: no, type: dot_accuracy@3
value: 0.66
name: Dot Accuracy@3
verified: no, type: dot_accuracy@5
value: 0.78
name: Dot Accuracy@5
verified: no, type: dot_accuracy@10
value: 0.84
name: Dot Accuracy@10
verified: no, type: dot_precision@1
value: 0.38
name: Dot Precision@1
verified: no, type: dot_precision@3
value: 0.22
name: Dot Precision@3
verified: no, type: dot_precision@5
value: 0.15600000000000003
name: Dot Precision@5
verified: no, type: dot_precision@10
value: 0.08399999999999999
name: Dot Precision@10
verified: no, type: dot_recall@1
value: 0.38
name: Dot Recall@1
verified: no, type: dot_recall@3
value: 0.66
name: Dot Recall@3
verified: no, type: dot_recall@5
value: 0.78
name: Dot Recall@5
verified: no, type: dot_recall@10
value: 0.84
name: Dot Recall@10
verified: no, type: dot_ndcg@10
value: 0.6078319139663582
name: Dot Ndcg@10
verified: no, type: dot_mrr@10
value: 0.5333015873015872
name: Dot Mrr@10
verified: no, type: dot_map@100
value: 0.5429181880921011
name: Dot Map@100
verified: no, type: query_active_dims
value: 24.360000610351562
name: Query Active Dims
verified: no, type: query_sparsity_ratio
value: 0.9992018871433604
name: Query Sparsity Ratio
verified: no, type: corpus_active_dims
value: 264.70611572265625
name: Corpus Active Dims
verified: no, type: corpus_sparsity_ratio
value: 0.9913273666298847
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: 0.48
name: Dot Accuracy@1
verified: no, type: dot_accuracy@3
value: 0.62
name: Dot Accuracy@3
verified: no, type: dot_accuracy@5
value: 0.62
name: Dot Accuracy@5
verified: no, type: dot_accuracy@10
value: 0.66
name: Dot Accuracy@10
verified: no, type: dot_precision@1
value: 0.48
name: Dot Precision@1
verified: no, type: dot_precision@3
value: 0.36666666666666664
name: Dot Precision@3
verified: no, type: dot_precision@5
value: 0.324
name: Dot Precision@5
verified: no, type: dot_precision@10
value: 0.27
name: Dot Precision@10
verified: no, type: dot_recall@1
value: 0.06223547543970161
name: Dot Recall@1
verified: no, type: dot_recall@3
value: 0.09468182448150209
name: Dot Recall@3
verified: no, type: dot_recall@5
value: 0.11080815285177574
name: Dot Recall@5
verified: no, type: dot_recall@10
value: 0.13852886366526052
name: Dot Recall@10
verified: no, type: dot_ndcg@10
value: 0.349956209575989
name: Dot Ndcg@10
verified: no, type: dot_mrr@10
value: 0.5455555555555555
name: Dot Mrr@10
verified: no, type: dot_map@100
value: 0.16563763914899593
name: Dot Map@100
verified: no, type: query_active_dims
value: 19.760000228881836
name: Query Active Dims
verified: no, type: query_sparsity_ratio
value: 0.999352598118443
name: Query Sparsity Ratio
verified: no, type: corpus_active_dims
value: 498.65423583984375
name: Corpus Active Dims
verified: no, type: corpus_sparsity_ratio
value: 0.983662465243436
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: 0.48
name: Dot Accuracy@1
verified: no, type: dot_accuracy@3
value: 0.68
name: Dot Accuracy@3
verified: no, type: dot_accuracy@5
value: 0.78
name: Dot Accuracy@5
verified: no, type: dot_accuracy@10
value: 0.86
name: Dot Accuracy@10
verified: no, type: dot_precision@1
value: 0.48
name: Dot Precision@1
verified: no, type: dot_precision@3
value: 0.2333333333333333
name: Dot Precision@3
verified: no, type: dot_precision@5
value: 0.16399999999999998
name: Dot Precision@5
verified: no, type: dot_precision@10
value: 0.092
name: Dot Precision@10
verified: no, type: dot_recall@1
value: 0.45
name: Dot Recall@1
verified: no, type: dot_recall@3
value: 0.65
name: Dot Recall@3
verified: no, type: dot_recall@5
value: 0.74
name: Dot Recall@5
verified: no, type: dot_recall@10
value: 0.82
name: Dot Recall@10
verified: no, type: dot_ndcg@10
value: 0.6400973977443337
name: Dot Ndcg@10
verified: no, type: dot_mrr@10
value: 0.5997460317460317
name: Dot Mrr@10
verified: no, type: dot_map@100
value: 0.5785145426544593
name: Dot Map@100
verified: no, type: query_active_dims
value: 27.8799991607666
name: Query Active Dims
verified: no, type: query_sparsity_ratio
value: 0.9990865605412238
name: Query Sparsity Ratio
verified: no, type: corpus_active_dims
value: 300.7279052734375
name: Corpus Active Dims
verified: no, type: corpus_sparsity_ratio
value: 0.9901471756348392
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: 0.4466666666666666
name: Dot Accuracy@1
verified: no, type: dot_accuracy@3
value: 0.6533333333333333
name: Dot Accuracy@3
verified: no, type: dot_accuracy@5
value: 0.7266666666666666
name: Dot Accuracy@5
verified: no, type: dot_accuracy@10
value: 0.7866666666666666
name: Dot Accuracy@10
verified: no, type: dot_precision@1
value: 0.4466666666666666
name: Dot Precision@1
verified: no, type: dot_precision@3
value: 0.2733333333333333
name: Dot Precision@3
verified: no, type: dot_precision@5
value: 0.21466666666666667
name: Dot Precision@5
verified: no, type: dot_precision@10
value: 0.14866666666666664
name: Dot Precision@10
verified: no, type: dot_recall@1
value: 0.2974118251465672
name: Dot Recall@1
verified: no, type: dot_recall@3
value: 0.4682272748271674
name: Dot Recall@3
verified: no, type: dot_recall@5
value: 0.5436027176172585
name: Dot Recall@5
verified: no, type: dot_recall@10
value: 0.5995096212217534
name: Dot Recall@10
verified: no, type: dot_ndcg@10
value: 0.5326285070955602
name: Dot Ndcg@10
verified: no, type: dot_mrr@10
value: 0.5595343915343914
name: Dot Mrr@10
verified: no, type: dot_map@100
value: 0.4290234566318521
name: Dot Map@100
verified: no, type: query_active_dims
value: 24
name: Query Active Dims
verified: no, type: query_sparsity_ratio
value: 0.9992136819343425
name: Query Sparsity Ratio
verified: no, type: corpus_active_dims
value: 331.6402350607146
name: Corpus Active Dims
verified: no, type: corpus_sparsity_ratio
value: 0.9891343871613684
name: Corpus Sparsity Ratio
verified: no
Likes: 0 | All-time downloads: 24
Created: 2025-06-25 18:24:28