Model: tomaarsen/splade-cocondenser-msmarco-kldiv-minilm-temp-5-5
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: 75.02855923573587
energy_consumed: 0.19302334239529478
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: 0.55
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: 0.68
name: Dot Accuracy@3
verified: no, type: dot_accuracy@5
value: 0.74
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: 0.22666666666666668
name: Dot Precision@3
verified: no, type: dot_precision@5
value: 0.14800000000000002
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: 0.68
name: Dot Recall@3
verified: no, type: dot_recall@5
value: 0.74
name: Dot Recall@5
verified: no, type: dot_recall@10
value: 0.8
name: Dot Recall@10
verified: no, type: dot_ndcg@10
value: 0.6108928079955076
name: Dot Ndcg@10
verified: no, type: dot_mrr@10
value: 0.5489999999999999
name: Dot Mrr@10
verified: no, type: dot_map@100
value: 0.562124579124579
name: Dot Map@100
verified: no, type: query_active_dims
value: 25.920000076293945
name: Query Active Dims
verified: no, type: query_sparsity_ratio
value: 0.9991507764865902
name: Query Sparsity Ratio
verified: no, type: corpus_active_dims
value: 270.5159606933594
name: Corpus Active Dims
verified: no, type: corpus_sparsity_ratio
value: 0.9911370172107543
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: 0.6
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: 0.46
name: Dot Precision@1
verified: no, type: dot_precision@3
value: 0.4
name: Dot Precision@3
verified: no, type: dot_precision@5
value: 0.34
name: Dot Precision@5
verified: no, type: dot_precision@10
value: 0.262
name: Dot Precision@10
verified: no, type: dot_recall@1
value: 0.041688706732218604
name: Dot Recall@1
verified: no, type: dot_recall@3
value: 0.07896008951032471
name: Dot Recall@3
verified: no, type: dot_recall@5
value: 0.0962040306805929
name: Dot Recall@5
verified: no, type: dot_recall@10
value: 0.1400169483330699
name: Dot Recall@10
verified: no, type: dot_ndcg@10
value: 0.33782188895936577
name: Dot Ndcg@10
verified: no, type: dot_mrr@10
value: 0.5295000000000001
name: Dot Mrr@10
verified: no, type: dot_map@100
value: 0.1507724326635732
name: Dot Map@100
verified: no, type: query_active_dims
value: 21.280000686645508
name: Query Active Dims
verified: no, type: query_sparsity_ratio
value: 0.9993027979592869
name: Query Sparsity Ratio
verified: no, type: corpus_active_dims
value: 541.2871704101562
name: Corpus Active Dims
verified: no, type: corpus_sparsity_ratio
value: 0.982265671633243
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: 0.8
name: Dot Accuracy@5
verified: no, type: dot_accuracy@10
value: 0.84
name: Dot Accuracy@10
verified: no, type: dot_precision@1
value: 0.46
name: Dot Precision@1
verified: no, type: dot_precision@3
value: 0.24666666666666667
name: Dot Precision@3
verified: no, type: dot_precision@5
value: 0.172
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: 0.77
name: Dot Recall@5
verified: no, type: dot_recall@10
value: 0.81
name: Dot Recall@10
verified: no, type: dot_ndcg@10
value: 0.6304675192861801
name: Dot Ndcg@10
verified: no, type: dot_mrr@10
value: 0.5870476190476189
name: Dot Mrr@10
verified: no, type: dot_map@100
value: 0.5704360475971306
name: Dot Map@100
verified: no, type: query_active_dims
value: 28.68000030517578
name: Query Active Dims
verified: no, type: query_sparsity_ratio
value: 0.9990603499015407
name: Query Sparsity Ratio
verified: no, type: corpus_active_dims
value: 301.8025817871094
name: Corpus Active Dims
verified: no, type: corpus_sparsity_ratio
value: 0.9901119657366126
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: 0.44
name: Dot Accuracy@1
verified: no, type: dot_accuracy@3
value: 0.6666666666666666
name: Dot Accuracy@3
verified: no, type: dot_accuracy@5
value: 0.7200000000000001
name: Dot Accuracy@5
verified: no, type: dot_accuracy@10
value: 0.7666666666666666
name: Dot Accuracy@10
verified: no, type: dot_precision@1
value: 0.44
name: Dot Precision@1
verified: no, type: dot_precision@3
value: 0.29111111111111115
name: Dot Precision@3
verified: no, type: dot_precision@5
value: 0.22
name: Dot Precision@5
verified: no, type: dot_precision@10
value: 0.144
name: Dot Precision@10
verified: no, type: dot_recall@1
value: 0.29056290224407283
name: Dot Recall@1
verified: no, type: dot_recall@3
value: 0.47632002983677496
name: Dot Recall@3
verified: no, type: dot_recall@5
value: 0.5354013435601976
name: Dot Recall@5
verified: no, type: dot_recall@10
value: 0.5833389827776899
name: Dot Recall@10
verified: no, type: dot_ndcg@10
value: 0.5263940720803512
name: Dot Ndcg@10
verified: no, type: dot_mrr@10
value: 0.5551825396825397
name: Dot Mrr@10
verified: no, type: dot_map@100
value: 0.4277776864617609
name: Dot Map@100
verified: no, type: query_active_dims
value: 25.293333689371746
name: Query Active Dims
verified: no, type: query_sparsity_ratio
value: 0.9991713081158059
name: Query Sparsity Ratio
verified: no, type: corpus_active_dims
value: 343.96508351591575
name: Corpus Active Dims
verified: no, type: corpus_sparsity_ratio
value: 0.988730585036501
name: Corpus Sparsity Ratio
verified: no
Likes: 0 | All-time downloads: 26
Created: 2025-06-25 19:26:39