Model: tomaarsen/splade-cocondenser-msmarco-kldiv-minilm-temp-30-3
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: 75.24698835018624
energy_consumed: 0.1935852873156975
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: 0.547
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: 0.4
name: Dot Accuracy@1
verified: no, type: dot_accuracy@3
value: 0.54
name: Dot Accuracy@3
verified: no, type: dot_accuracy@5
value: 0.66
name: Dot Accuracy@5
verified: no, type: dot_accuracy@10
value: 0.8
name: Dot Accuracy@10
verified: no, type: dot_precision@1
value: 0.4
name: Dot Precision@1
verified: no, type: dot_precision@3
value: 0.18
name: Dot Precision@3
verified: no, type: dot_precision@5
value: 0.13200000000000003
name: Dot Precision@5
verified: no, type: dot_precision@10
value: 0.08
name: Dot Precision@10
verified: no, type: dot_recall@1
value: 0.4
name: Dot Recall@1
verified: no, type: dot_recall@3
value: 0.54
name: Dot Recall@3
verified: no, type: dot_recall@5
value: 0.66
name: Dot Recall@5
verified: no, type: dot_recall@10
value: 0.8
name: Dot Recall@10
verified: no, type: dot_ndcg@10
value: 0.5728396653126916
name: Dot Ndcg@10
verified: no, type: dot_mrr@10
value: 0.5029920634920634
name: Dot Mrr@10
verified: no, type: dot_map@100
value: 0.5137901918343095
name: Dot Map@100
verified: no, type: query_active_dims
value: 199.77999877929688
name: Query Active Dims
verified: no, type: query_sparsity_ratio
value: 0.9934545574084498
name: Query Sparsity Ratio
verified: no, type: corpus_active_dims
value: 554.15625
name: Corpus Active Dims
verified: no, type: corpus_sparsity_ratio
value: 0.9818440387261649
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: 0.62
name: Dot Accuracy@3
verified: no, type: dot_accuracy@5
value: 0.66
name: Dot Accuracy@5
verified: no, type: dot_accuracy@10
value: 0.7
name: Dot Accuracy@10
verified: no, type: dot_precision@1
value: 0.4
name: Dot Precision@1
verified: no, type: dot_precision@3
value: 0.38666666666666655
name: Dot Precision@3
verified: no, type: dot_precision@5
value: 0.34
name: Dot Precision@5
verified: no, type: dot_precision@10
value: 0.276
name: Dot Precision@10
verified: no, type: dot_recall@1
value: 0.04096753178285544
name: Dot Recall@1
verified: no, type: dot_recall@3
value: 0.09864617259986946
name: Dot Recall@3
verified: no, type: dot_recall@5
value: 0.11910030591931477
name: Dot Recall@5
verified: no, type: dot_recall@10
value: 0.14788024355414084
name: Dot Recall@10
verified: no, type: dot_ndcg@10
value: 0.3479131255990198
name: Dot Ndcg@10
verified: no, type: dot_mrr@10
value: 0.5215238095238095
name: Dot Mrr@10
verified: no, type: dot_map@100
value: 0.15916647554988764
name: Dot Map@100
verified: no, type: query_active_dims
value: 175.13999938964844
name: Query Active Dims
verified: no, type: query_sparsity_ratio
value: 0.994261843935861
name: Query Sparsity Ratio
verified: no, type: corpus_active_dims
value: 778.0098266601562
name: Corpus Active Dims
verified: no, type: corpus_sparsity_ratio
value: 0.9745098674182505
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: 0.7
name: Dot Accuracy@3
verified: no, type: dot_accuracy@5
value: 0.72
name: Dot Accuracy@5
verified: no, type: dot_accuracy@10
value: 0.82
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: 0.15600000000000003
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: 0.7
name: Dot Recall@5
verified: no, type: dot_recall@10
value: 0.79
name: Dot Recall@10
verified: no, type: dot_ndcg@10
value: 0.6294466257124733
name: Dot Ndcg@10
verified: no, type: dot_mrr@10
value: 0.5867777777777777
name: Dot Mrr@10
verified: no, type: dot_map@100
value: 0.5776730598858845
name: Dot Map@100
verified: no, type: query_active_dims
value: 214.9600067138672
name: Query Active Dims
verified: no, type: query_sparsity_ratio
value: 0.992957210971959
name: Query Sparsity Ratio
verified: no, type: corpus_active_dims
value: 652.3181762695312
name: Corpus Active Dims
verified: no, type: corpus_sparsity_ratio
value: 0.9786279347267698
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: 0.62
name: Dot Accuracy@3
verified: no, type: dot_accuracy@5
value: 0.68
name: Dot Accuracy@5
verified: no, type: dot_accuracy@10
value: 0.7733333333333333
name: Dot Accuracy@10
verified: no, type: dot_precision@1
value: 0.42
name: Dot Precision@1
verified: no, type: dot_precision@3
value: 0.26888888888888884
name: Dot Precision@3
verified: no, type: dot_precision@5
value: 0.20933333333333337
name: Dot Precision@5
verified: no, type: dot_precision@10
value: 0.14866666666666667
name: Dot Precision@10
verified: no, type: dot_recall@1
value: 0.29032251059428515
name: Dot Recall@1
verified: no, type: dot_recall@3
value: 0.43621539086662314
name: Dot Recall@3
verified: no, type: dot_recall@5
value: 0.49303343530643823
name: Dot Recall@5
verified: no, type: dot_recall@10
value: 0.579293414518047
name: Dot Recall@10
verified: no, type: dot_ndcg@10
value: 0.5167331388747283
name: Dot Ndcg@10
verified: no, type: dot_mrr@10
value: 0.5370978835978836
name: Dot Mrr@10
verified: no, type: dot_map@100
value: 0.41687657575669385
name: Dot Map@100
verified: no, type: query_active_dims
value: 196.62666829427084
name: Query Active Dims
verified: no, type: query_sparsity_ratio
value: 0.99355787077209
name: Query Sparsity Ratio
verified: no, type: corpus_active_dims
value: 642.8129080189188
name: Corpus Active Dims
verified: no, type: corpus_sparsity_ratio
value: 0.9789393582327857
name: Corpus Sparsity Ratio
verified: no
Likes: 0 | All-time downloads: 26
Created: 2025-06-25 17:51:28