Model: tomaarsen/splade-cocondenser-msmarco-kldiv-minilm-temp-2-2
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: 75.12655530766186
energy_consumed: 0.1932754534519037
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: 0.545
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: 0.62
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: 0.42
name: Dot Precision@1
verified: no, type: dot_precision@3
value: 0.20666666666666667
name: Dot Precision@3
verified: no, type: dot_precision@5
value: 0.15600000000000003
name: Dot Precision@5
verified: no, type: dot_precision@10
value: 0.08599999999999998
name: Dot Precision@10
verified: no, type: dot_recall@1
value: 0.42
name: Dot Recall@1
verified: no, type: dot_recall@3
value: 0.62
name: Dot Recall@3
verified: no, type: dot_recall@5
value: 0.78
name: Dot Recall@5
verified: no, type: dot_recall@10
value: 0.86
name: Dot Recall@10
verified: no, type: dot_ndcg@10
value: 0.6246085419119861
name: Dot Ndcg@10
verified: no, type: dot_mrr@10
value: 0.5508333333333333
name: Dot Mrr@10
verified: no, type: dot_map@100
value: 0.5574128873844532
name: Dot Map@100
verified: no, type: query_active_dims
value: 23.059999465942383
name: Query Active Dims
verified: no, type: query_sparsity_ratio
value: 0.9992444794094115
name: Query Sparsity Ratio
verified: no, type: corpus_active_dims
value: 197.1407928466797
name: Corpus Active Dims
verified: no, type: corpus_sparsity_ratio
value: 0.9935410263794417
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: 0.56
name: Dot Accuracy@3
verified: no, type: dot_accuracy@5
value: 0.62
name: Dot Accuracy@5
verified: no, type: dot_accuracy@10
value: 0.7
name: Dot Accuracy@10
verified: no, type: dot_precision@1
value: 0.4
name: Dot Precision@1
verified: no, type: dot_precision@3
value: 0.34666666666666673
name: Dot Precision@3
verified: no, type: dot_precision@5
value: 0.312
name: Dot Precision@5
verified: no, type: dot_precision@10
value: 0.266
name: Dot Precision@10
verified: no, type: dot_recall@1
value: 0.0211665046255695
name: Dot Recall@1
verified: no, type: dot_recall@3
value: 0.07152397224970027
name: Dot Recall@3
verified: no, type: dot_recall@5
value: 0.08867487716662988
name: Dot Recall@5
verified: no, type: dot_recall@10
value: 0.13839095366478715
name: Dot Recall@10
verified: no, type: dot_ndcg@10
value: 0.32005907797703287
name: Dot Ndcg@10
verified: no, type: dot_mrr@10
value: 0.4953888888888888
name: Dot Mrr@10
verified: no, type: dot_map@100
value: 0.13314611598971798
name: Dot Map@100
verified: no, type: query_active_dims
value: 20.059999465942383
name: Query Active Dims
verified: no, type: query_sparsity_ratio
value: 0.9993427691676187
name: Query Sparsity Ratio
verified: no, type: corpus_active_dims
value: 387.2786865234375
name: Corpus Active Dims
verified: no, type: corpus_sparsity_ratio
value: 0.9873114905142705
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: 0.88
name: Dot Accuracy@10
verified: no, type: dot_precision@1
value: 0.44
name: Dot Precision@1
verified: no, type: dot_precision@3
value: 0.25999999999999995
name: Dot Precision@3
verified: no, type: dot_precision@5
value: 0.168
name: Dot Precision@5
verified: no, type: dot_precision@10
value: 0.09399999999999999
name: Dot Precision@10
verified: no, type: dot_recall@1
value: 0.41
name: Dot Recall@1
verified: no, type: dot_recall@3
value: 0.72
name: Dot Recall@3
verified: no, type: dot_recall@5
value: 0.75
name: Dot Recall@5
verified: no, type: dot_recall@10
value: 0.84
name: Dot Recall@10
verified: no, type: dot_ndcg@10
value: 0.6484898172480996
name: Dot Ndcg@10
verified: no, type: dot_mrr@10
value: 0.6009126984126983
name: Dot Mrr@10
verified: no, type: dot_map@100
value: 0.5806962859967865
name: Dot Map@100
verified: no, type: query_active_dims
value: 27.34000015258789
name: Query Active Dims
verified: no, type: query_sparsity_ratio
value: 0.9991042526652059
name: Query Sparsity Ratio
verified: no, type: corpus_active_dims
value: 224.25958251953125
name: Corpus Active Dims
verified: no, type: corpus_sparsity_ratio
value: 0.9926525266195029
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: 0.6466666666666667
name: Dot Accuracy@3
verified: no, type: dot_accuracy@5
value: 0.7333333333333334
name: Dot Accuracy@5
verified: no, type: dot_accuracy@10
value: 0.8133333333333334
name: Dot Accuracy@10
verified: no, type: dot_precision@1
value: 0.42
name: Dot Precision@1
verified: no, type: dot_precision@3
value: 0.27111111111111114
name: Dot Precision@3
verified: no, type: dot_precision@5
value: 0.212
name: Dot Precision@5
verified: no, type: dot_precision@10
value: 0.14866666666666664
name: Dot Precision@10
verified: no, type: dot_recall@1
value: 0.28372216820852314
name: Dot Recall@1
verified: no, type: dot_recall@3
value: 0.4705079907499001
name: Dot Recall@3
verified: no, type: dot_recall@5
value: 0.5395582923888766
name: Dot Recall@5
verified: no, type: dot_recall@10
value: 0.612796984554929
name: Dot Recall@10
verified: no, type: dot_ndcg@10
value: 0.5310524790457062
name: Dot Ndcg@10
verified: no, type: dot_mrr@10
value: 0.5490449735449735
name: Dot Mrr@10
verified: no, type: dot_map@100
value: 0.4237517631236525
name: Dot Map@100
verified: no, type: query_active_dims
value: 23.486666361490887
name: Query Active Dims
verified: no, type: query_sparsity_ratio
value: 0.9992305004140786
name: Query Sparsity Ratio
verified: no, type: corpus_active_dims
value: 250.70692791154605
name: Corpus Active Dims
verified: no, type: corpus_sparsity_ratio
value: 0.9917860255582353
name: Corpus Sparsity Ratio
verified: no
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Created: 2025-06-25 20:00:27