Model: tomaarsen/splade-cocondenser-msmarco-kldiv-marginmse-minilm-temp-4
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: 76.94472370318051
energy_consumed: 0.19795299150295217
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: 0.562
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: 0.36
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: 0.88
name: Dot Accuracy@10
verified: no, type: dot_precision@1
value: 0.36
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: 0.088
name: Dot Precision@10
verified: no, type: dot_recall@1
value: 0.36
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: 0.88
name: Dot Recall@10
verified: no, type: dot_ndcg@10
value: 0.6103449967613165
name: Dot Ndcg@10
verified: no, type: dot_mrr@10
value: 0.5254444444444445
name: Dot Mrr@10
verified: no, type: dot_map@100
value: 0.5305650539391958
name: Dot Map@100
verified: no, type: query_active_dims
value: 27.84000015258789
name: Query Active Dims
verified: no, type: query_sparsity_ratio
value: 0.999087871038838
name: Query Sparsity Ratio
verified: no, type: corpus_active_dims
value: 312.8126220703125
name: Corpus Active Dims
verified: no, type: corpus_sparsity_ratio
value: 0.9897512410041835
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: 0.46
name: Dot Accuracy@1
verified: no, type: dot_accuracy@3
value: 0.58
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: 0.46
name: Dot Precision@1
verified: no, type: dot_precision@3
value: 0.38
name: Dot Precision@3
verified: no, type: dot_precision@5
value: 0.33599999999999997
name: Dot Precision@5
verified: no, type: dot_precision@10
value: 0.27
name: Dot Precision@10
verified: no, type: dot_recall@1
value: 0.0420665046255695
name: Dot Recall@1
verified: no, type: dot_recall@3
value: 0.07348579058152108
name: Dot Recall@3
verified: no, type: dot_recall@5
value: 0.11505423806680358
name: Dot Recall@5
verified: no, type: dot_recall@10
value: 0.14008288968118893
name: Dot Recall@10
verified: no, type: dot_ndcg@10
value: 0.34286821712769383
name: Dot Ndcg@10
verified: no, type: dot_mrr@10
value: 0.5336666666666667
name: Dot Mrr@10
verified: no, type: dot_map@100
value: 0.15026226864561068
name: Dot Map@100
verified: no, type: query_active_dims
value: 23.780000686645508
name: Query Active Dims
verified: no, type: query_sparsity_ratio
value: 0.9992208898274476
name: Query Sparsity Ratio
verified: no, type: corpus_active_dims
value: 551.4070434570312
name: Corpus Active Dims
verified: no, type: corpus_sparsity_ratio
value: 0.9819341116749547
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: 0.46
name: Dot Accuracy@1
verified: no, type: dot_accuracy@3
value: 0.72
name: Dot Accuracy@3
verified: no, type: dot_accuracy@5
value: 0.76
name: Dot Accuracy@5
verified: no, type: dot_accuracy@10
value: 0.84
name: Dot Accuracy@10
verified: no, type: dot_precision@1
value: 0.46
name: Dot Precision@1
verified: no, type: dot_precision@3
value: 0.24
name: Dot Precision@3
verified: no, type: dot_precision@5
value: 0.16
name: Dot Precision@5
verified: no, type: dot_precision@10
value: 0.08999999999999998
name: Dot Precision@10
verified: no, type: dot_recall@1
value: 0.43
name: Dot Recall@1
verified: no, type: dot_recall@3
value: 0.67
name: Dot Recall@3
verified: no, type: dot_recall@5
value: 0.72
name: Dot Recall@5
verified: no, type: dot_recall@10
value: 0.8
name: Dot Recall@10
verified: no, type: dot_ndcg@10
value: 0.6351775821531778
name: Dot Ndcg@10
verified: no, type: dot_mrr@10
value: 0.5995238095238096
name: Dot Mrr@10
verified: no, type: dot_map@100
value: 0.5784818757304737
name: Dot Map@100
verified: no, type: query_active_dims
value: 31.780000686645508
name: Query Active Dims
verified: no, type: query_sparsity_ratio
value: 0.9989587838055617
name: Query Sparsity Ratio
verified: no, type: corpus_active_dims
value: 343.7594909667969
name: Corpus Active Dims
verified: no, type: corpus_sparsity_ratio
value: 0.9887373209171484
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: 0.4266666666666667
name: Dot Accuracy@1
verified: no, type: dot_accuracy@3
value: 0.6533333333333333
name: Dot Accuracy@3
verified: no, type: dot_accuracy@5
value: 0.7066666666666667
name: Dot Accuracy@5
verified: no, type: dot_accuracy@10
value: 0.7933333333333333
name: Dot Accuracy@10
verified: no, type: dot_precision@1
value: 0.4266666666666667
name: Dot Precision@1
verified: no, type: dot_precision@3
value: 0.27999999999999997
name: Dot Precision@3
verified: no, type: dot_precision@5
value: 0.21333333333333335
name: Dot Precision@5
verified: no, type: dot_precision@10
value: 0.14933333333333332
name: Dot Precision@10
verified: no, type: dot_recall@1
value: 0.2773555015418565
name: Dot Recall@1
verified: no, type: dot_recall@3
value: 0.467828596860507
name: Dot Recall@3
verified: no, type: dot_recall@5
value: 0.5183514126889345
name: Dot Recall@5
verified: no, type: dot_recall@10
value: 0.6066942965603963
name: Dot Recall@10
verified: no, type: dot_ndcg@10
value: 0.5294635986807293
name: Dot Ndcg@10
verified: no, type: dot_mrr@10
value: 0.5528783068783069
name: Dot Mrr@10
verified: no, type: dot_map@100
value: 0.41976973277176005
name: Dot Map@100
verified: no, type: query_active_dims
value: 27.8000005086263
name: Query Active Dims
verified: no, type: query_sparsity_ratio
value: 0.9990891815572824
name: Query Sparsity Ratio
verified: no, type: corpus_active_dims
value: 378.8387759532669
name: Corpus Active Dims
verified: no, type: corpus_sparsity_ratio
value: 0.987588009437348
name: Corpus Sparsity Ratio
verified: no
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Created: 2025-06-26 10:06:11