Model: tomaarsen/splade-cocondenser-msmarco-kldiv-marginmse-minilm-temp-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: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: 74.90440833144916
energy_consumed: 0.19270394371896507
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: 0.543
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: 0.64
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: 0.42
name: Dot Precision@1
verified: no, type: dot_precision@3
value: 0.21333333333333335
name: Dot Precision@3
verified: no, type: dot_precision@5
value: 0.15200000000000002
name: Dot Precision@5
verified: no, type: dot_precision@10
value: 0.08399999999999999
name: Dot Precision@10
verified: no, type: dot_recall@1
value: 0.42
name: Dot Recall@1
verified: no, type: dot_recall@3
value: 0.64
name: Dot Recall@3
verified: no, type: dot_recall@5
value: 0.76
name: Dot Recall@5
verified: no, type: dot_recall@10
value: 0.84
name: Dot Recall@10
verified: no, type: dot_ndcg@10
value: 0.6243791102930786
name: Dot Ndcg@10
verified: no, type: dot_mrr@10
value: 0.555579365079365
name: Dot Mrr@10
verified: no, type: dot_map@100
value: 0.5642341058907775
name: Dot Map@100
verified: no, type: query_active_dims
value: 23.479999542236328
name: Query Active Dims
verified: no, type: query_sparsity_ratio
value: 0.9992307188407629
name: Query Sparsity Ratio
verified: no, type: corpus_active_dims
value: 283.7341003417969
name: Corpus Active Dims
verified: no, type: corpus_sparsity_ratio
value: 0.9907039479607561
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: 0.5
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: 0.5
name: Dot Precision@1
verified: no, type: dot_precision@3
value: 0.38666666666666666
name: Dot Precision@3
verified: no, type: dot_precision@5
value: 0.32799999999999996
name: Dot Precision@5
verified: no, type: dot_precision@10
value: 0.264
name: Dot Precision@10
verified: no, type: dot_recall@1
value: 0.04416854544189602
name: Dot Recall@1
verified: no, type: dot_recall@3
value: 0.07683192611467984
name: Dot Recall@3
verified: no, type: dot_recall@5
value: 0.09557421583831106
name: Dot Recall@5
verified: no, type: dot_recall@10
value: 0.1411541670394615
name: Dot Recall@10
verified: no, type: dot_ndcg@10
value: 0.3388998124202135
name: Dot Ndcg@10
verified: no, type: dot_mrr@10
value: 0.5555238095238095
name: Dot Mrr@10
verified: no, type: dot_map@100
value: 0.14976587719086112
name: Dot Map@100
verified: no, type: query_active_dims
value: 19.540000915527344
name: Query Active Dims
verified: no, type: query_sparsity_ratio
value: 0.9993598060115482
name: Query Sparsity Ratio
verified: no, type: corpus_active_dims
value: 534.9498901367188
name: Corpus Active Dims
verified: no, type: corpus_sparsity_ratio
value: 0.982473301548499
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: 0.78
name: Dot Accuracy@5
verified: no, type: dot_accuracy@10
value: 0.84
name: Dot Accuracy@10
verified: no, type: dot_precision@1
value: 0.44
name: Dot Precision@1
verified: no, type: dot_precision@3
value: 0.26
name: Dot Precision@3
verified: no, type: dot_precision@5
value: 0.16799999999999998
name: Dot Precision@5
verified: no, type: dot_precision@10
value: 0.08999999999999998
name: Dot Precision@10
verified: no, type: dot_recall@1
value: 0.41
name: Dot Recall@1
verified: no, type: dot_recall@3
value: 0.71
name: Dot Recall@3
verified: no, type: dot_recall@5
value: 0.75
name: Dot Recall@5
verified: no, type: dot_recall@10
value: 0.81
name: Dot Recall@10
verified: no, type: dot_ndcg@10
value: 0.6323241182237289
name: Dot Ndcg@10
verified: no, type: dot_mrr@10
value: 0.5893571428571428
name: Dot Mrr@10
verified: no, type: dot_map@100
value: 0.5715395469361068
name: Dot Map@100
verified: no, type: query_active_dims
value: 27.6200008392334
name: Query Active Dims
verified: no, type: query_sparsity_ratio
value: 0.999095078931943
name: Query Sparsity Ratio
verified: no, type: corpus_active_dims
value: 309.5992126464844
name: Corpus Active Dims
verified: no, type: corpus_sparsity_ratio
value: 0.9898565227492797
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: 0.4533333333333333
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: 0.7799999999999999
name: Dot Accuracy@10
verified: no, type: dot_precision@1
value: 0.4533333333333333
name: Dot Precision@1
verified: no, type: dot_precision@3
value: 0.2866666666666667
name: Dot Precision@3
verified: no, type: dot_precision@5
value: 0.21599999999999997
name: Dot Precision@5
verified: no, type: dot_precision@10
value: 0.146
name: Dot Precision@10
verified: no, type: dot_recall@1
value: 0.29138951514729866
name: Dot Recall@1
verified: no, type: dot_recall@3
value: 0.4756106420382266
name: Dot Recall@3
verified: no, type: dot_recall@5
value: 0.535191405279437
name: Dot Recall@5
verified: no, type: dot_recall@10
value: 0.5970513890131538
name: Dot Recall@10
verified: no, type: dot_ndcg@10
value: 0.5318676803123403
name: Dot Ndcg@10
verified: no, type: dot_mrr@10
value: 0.5668201058201058
name: Dot Mrr@10
verified: no, type: dot_map@100
value: 0.42851317667258176
name: Dot Map@100
verified: no, type: query_active_dims
value: 23.546667098999023
name: Query Active Dims
verified: no, type: query_sparsity_ratio
value: 0.9992285345947512
name: Query Sparsity Ratio
verified: no, type: corpus_active_dims
value: 350.656905016688
name: Corpus Active Dims
verified: no, type: corpus_sparsity_ratio
value: 0.9885113391974089
name: Corpus Sparsity Ratio
verified: no
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Created: 2025-06-26 09:29:30