Model: tomaarsen/csr-mxbai-embed-large-v1-gooaq-2e-4
Author: tomaarsen
Pipeline: feature-extraction
Library: sentence-transformers
Tags: sentence-transformers, safetensors, bert, sparse-encoder, sparse, csr, generated_from_trainer, dataset_size:3011496, loss:CSRLoss, loss:SparseMultipleNegativesRankingLoss, feature-extraction, en, dataset:sentence-transformers/gooaq, arxiv:1908.10084, arxiv:2503.01776, arxiv:1705.00652, base_model:mixedbread-ai/mxbai-embed-large-v1, base_model:finetune:mixedbread-ai/mxbai-embed-large-v1, license:apache-2.0, model-index, co2_eq_emissions, text-embeddings-inference, endpoints_compatible, region:us
Base models (finetune): id: mixedbread-ai/mxbai-embed-large-v1
Card metadata: language: en
license: apache-2.0
tags: sentence-transformers, sparse-encoder, sparse, csr, generated_from_trainer, dataset_size:3011496, loss:CSRLoss, loss:SparseMultipleNegativesRankingLoss
base_model: mixedbread-ai/mxbai-embed-large-v1
widget: source_sentence: how much is a car title transfer in minnesota?
sentences: This complex is a larger molecule than the original crystal violet stain and iodine and is insoluble in water. ... Conversely, the the outer membrane of Gram negative bacteria is degraded and the thinner peptidoglycan layer of Gram negative cells is unable to retain the crystal violet-iodine complex and the color is lost., Get insurance on the car and provide proof. Bring this information (including the title) to the Minnesota DVS office, as well as $10 for the filing fee and $7.25 for the titling fee. There is also a $10 transfer tax, as well as a 6.5% sales tax on the purchase price., One of the risks of DNP is that it accelerates the metabolism to a dangerously fast level. Our metabolic system operates at the rate it does for a reason – it is safe. Speeding up the metabolism may help burn off fat, but it can also trigger a number of potentially dangerous side effects, such as: fever., source_sentence: what is the difference between 18 and 20 inch tires?
sentences: The only real difference is a 20" rim would be more likely to be damaged, as you pointed out. Beyond looks, there is zero benefit for the 20" rim. Also, just the availability of tires will likely be much more limited for the larger rim. ... Tire selection is better for 18" wheels than 20" wheels., Open your Outlook app on your mobile device and click on the Settings gear icon., Under Settings, click on the Signature option., Enter either a generic signature that could be used for all email accounts tied to your Outlook app, or a specific signature, Per Account Signature, for each email account., The average normal body temperature is around 98.6 degrees Fahrenheit, or 37 degrees Celsius. If your body temperature drops to just a few degrees lower than this, your blood vessels in your hands, feet, arms, and legs start to get narrower., source_sentence: whom the bell tolls meaning?
sentences: Answer: Humans are depicted in Hindu art often in sensuous and erotic postures., The phrase "For whom the bell tolls" refers to the church bells that are rung when a person dies. Hence, the author is suggesting that we should not be curious as to for whom the church bell is tolling for. It is for all of us., Automatically., When connected to car Bluetooth and,, Manually., source_sentence: how long before chlamydia symptoms appear?
sentences: Most people who have chlamydia don't notice any symptoms. If you do get symptoms, these usually appear between 1 and 3 weeks after having unprotected sex with an infected person. For some people they don't develop until many months later. Sometimes the symptoms can disappear after a few days., Open the My Verizon app . ... , Tap the Menu icon. ... , Tap Manage device for the appropriate mobile number. ... , Tap Transfer content between phones. ... , Tap Start Transfer., Psychiatrist vs Psychologist A psychiatrist is classed as a medical doctor, they include a physical examination of symptoms in their assessment and are able to prescribe medicine: a psychologist is also a doctor by virtue of their PHD level qualification, but is not medically trained and cannot prescribe., source_sentence: are you human korean novela?
sentences: Many cysts heal on their own, which means that conservative treatments like rest and anti-inflammatory painkillers can often be enough to get rid of them. However, in some cases, routine drainage of the sac may be necessary to reduce symptoms., A relative of European pear varieties like Bartlett and Anjou, the Asian pear is great used in recipes or simply eaten out of hand. It retains a crispness that works well in slaws and salads, and it holds its shape better than European pears when baked and cooked., Are You Human? (Korean: 너도 인간이니; RR: Neodo Inganini; lit. Are You Human Too?) is a 2018 South Korean television series starring Seo Kang-jun and Gong Seung-yeon. It aired on KBS2's Mondays and Tuesdays at 22:00 (KST) time slot, from June 4 to August 7, 2018.
datasets: sentence-transformers/gooaq
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, row_non_zero_mean_query, row_sparsity_mean_query, row_non_zero_mean_corpus, row_sparsity_mean_corpus
co2_eq_emissions: emissions: 467.36155743833086
energy_consumed: 1.2023646840981803
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: 3.125
hardware_used: 1 x NVIDIA GeForce RTX 3090
model-index: name: Sparse CSR model trained on Natural Questions
results: task: type: sparse-information-retrieval
name: Sparse Information Retrieval
dataset: name: NanoMSMARCO 128
type: NanoMSMARCO_128
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: 0.68
name: Dot Accuracy@5
verified: no, type: dot_accuracy@10
value: 0.8
name: Dot Accuracy@10
verified: no, type: dot_precision@1
value: 0.42
name: Dot Precision@1
verified: no, type: dot_precision@3
value: 0.21333333333333332
name: Dot Precision@3
verified: no, type: dot_precision@5
value: 0.136
name: Dot Precision@5
verified: no, type: dot_precision@10
value: 0.08
name: Dot Precision@10
verified: no, type: dot_recall@1
value: 0.42
name: Dot Recall@1
verified: no, type: dot_recall@3
value: 0.64
name: Dot Recall@3
verified: no, type: dot_recall@5
value: 0.68
name: Dot Recall@5
verified: no, type: dot_recall@10
value: 0.8
name: Dot Recall@10
verified: no, type: dot_ndcg@10
value: 0.6079185617079585
name: Dot Ndcg@10
verified: no, type: dot_mrr@10
value: 0.5469047619047619
name: Dot Mrr@10
verified: no, type: dot_map@100
value: 0.5546949863343481
name: Dot Map@100
verified: no, type: row_non_zero_mean_query
value: 128
name: Row Non Zero Mean Query
verified: no, type: row_sparsity_mean_query
value: 0.96875
name: Row Sparsity Mean Query
verified: no, type: row_non_zero_mean_corpus
value: 128
name: Row Non Zero Mean Corpus
verified: no, type: row_sparsity_mean_corpus
value: 0.96875
name: Row Sparsity Mean Corpus
verified: no, task: type: sparse-information-retrieval
name: Sparse Information Retrieval
dataset: name: NanoNFCorpus 128
type: NanoNFCorpus_128
metrics: type: dot_accuracy@1
value: 0.28
name: Dot Accuracy@1
verified: no, type: dot_accuracy@3
value: 0.46
name: Dot Accuracy@3
verified: no, type: dot_accuracy@5
value: 0.58
name: Dot Accuracy@5
verified: no, type: dot_accuracy@10
value: 0.66
name: Dot Accuracy@10
verified: no, type: dot_precision@1
value: 0.28
name: Dot Precision@1
verified: no, type: dot_precision@3
value: 0.2866666666666667
name: Dot Precision@3
verified: no, type: dot_precision@5
value: 0.28
name: Dot Precision@5
verified: no, type: dot_precision@10
value: 0.24600000000000002
name: Dot Precision@10
verified: no, type: dot_recall@1
value: 0.010077778443246685
name: Dot Recall@1
verified: no, type: dot_recall@3
value: 0.04965300165842144
name: Dot Recall@3
verified: no, type: dot_recall@5
value: 0.07680443441830657
name: Dot Recall@5
verified: no, type: dot_recall@10
value: 0.10785346110615711
name: Dot Recall@10
verified: no, type: dot_ndcg@10
value: 0.27112973349418856
name: Dot Ndcg@10
verified: no, type: dot_mrr@10
value: 0.3951904761904761
name: Dot Mrr@10
verified: no, type: dot_map@100
value: 0.10882673834779542
name: Dot Map@100
verified: no, type: row_non_zero_mean_query
value: 128
name: Row Non Zero Mean Query
verified: no, type: row_sparsity_mean_query
value: 0.96875
name: Row Sparsity Mean Query
verified: no, type: row_non_zero_mean_corpus
value: 128
name: Row Non Zero Mean Corpus
verified: no, type: row_sparsity_mean_corpus
value: 0.96875
name: Row Sparsity Mean Corpus
verified: no, task: type: sparse-information-retrieval
name: Sparse Information Retrieval
dataset: name: NanoNQ 128
type: NanoNQ_128
metrics: type: dot_accuracy@1
value: 0.46
name: Dot Accuracy@1
verified: no, type: dot_accuracy@3
value: 0.62
name: Dot Accuracy@3
verified: no, type: dot_accuracy@5
value: 0.7
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: 0.20666666666666667
name: Dot Precision@3
verified: no, type: dot_precision@5
value: 0.14
name: Dot Precision@5
verified: no, type: dot_precision@10
value: 0.08199999999999999
name: Dot Precision@10
verified: no, type: dot_recall@1
value: 0.44
name: Dot Recall@1
verified: no, type: dot_recall@3
value: 0.58
name: Dot Recall@3
verified: no, type: dot_recall@5
value: 0.65
name: Dot Recall@5
verified: no, type: dot_recall@10
value: 0.76
name: Dot Recall@10
verified: no, type: dot_ndcg@10
value: 0.5976862103963738
name: Dot Ndcg@10
verified: no, type: dot_mrr@10
value: 0.5692222222222223
name: Dot Mrr@10
verified: no, type: dot_map@100
value: 0.5513454286143362
name: Dot Map@100
verified: no, type: row_non_zero_mean_query
value: 128
name: Row Non Zero Mean Query
verified: no, type: row_sparsity_mean_query
value: 0.96875
name: Row Sparsity Mean Query
verified: no, type: row_non_zero_mean_corpus
value: 128
name: Row Non Zero Mean Corpus
verified: no, type: row_sparsity_mean_corpus
value: 0.96875
name: Row Sparsity Mean Corpus
verified: no, task: type: sparse-nano-beir
name: Sparse Nano BEIR
dataset: name: NanoBEIR mean 128
type: NanoBEIR_mean_128
metrics: type: dot_accuracy@1
value: 0.38666666666666666
name: Dot Accuracy@1
verified: no, type: dot_accuracy@3
value: 0.5733333333333334
name: Dot Accuracy@3
verified: no, type: dot_accuracy@5
value: 0.6533333333333333
name: Dot Accuracy@5
verified: no, type: dot_accuracy@10
value: 0.7599999999999999
name: Dot Accuracy@10
verified: no, type: dot_precision@1
value: 0.38666666666666666
name: Dot Precision@1
verified: no, type: dot_precision@3
value: 0.23555555555555555
name: Dot Precision@3
verified: no, type: dot_precision@5
value: 0.18533333333333335
name: Dot Precision@5
verified: no, type: dot_precision@10
value: 0.136
name: Dot Precision@10
verified: no, type: dot_recall@1
value: 0.2900259261477489
name: Dot Recall@1
verified: no, type: dot_recall@3
value: 0.4232176672194738
name: Dot Recall@3
verified: no, type: dot_recall@5
value: 0.4689348114727689
name: Dot Recall@5
verified: no, type: dot_recall@10
value: 0.5559511537020524
name: Dot Recall@10
verified: no, type: dot_ndcg@10
value: 0.49224483519950696
name: Dot Ndcg@10
verified: no, type: dot_mrr@10
value: 0.5037724867724868
name: Dot Mrr@10
verified: no, type: dot_map@100
value: 0.4049557177654933
name: Dot Map@100
verified: no, type: row_non_zero_mean_query
value: 128
name: Row Non Zero Mean Query
verified: no, type: row_sparsity_mean_query
value: 0.96875
name: Row Sparsity Mean Query
verified: no, type: row_non_zero_mean_corpus
value: 128
name: Row Non Zero Mean Corpus
verified: no, type: row_sparsity_mean_corpus
value: 0.96875
name: Row Sparsity Mean Corpus
verified: no, task: type: sparse-information-retrieval
name: Sparse Information Retrieval
dataset: name: NanoMSMARCO 256
type: NanoMSMARCO_256
metrics: type: dot_accuracy@1
value: 0.42
name: Dot Accuracy@1
verified: no, type: dot_accuracy@3
value: 0.7
name: Dot Accuracy@3
verified: no, type: dot_accuracy@5
value: 0.76
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: 0.2333333333333333
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: 0.7
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: 0.6326016391887893
name: Dot Ndcg@10
verified: no, type: dot_mrr@10
value: 0.566111111111111
name: Dot Mrr@10
verified: no, type: dot_map@100
value: 0.5727341193854673
name: Dot Map@100
verified: no, type: row_non_zero_mean_query
value: 256
name: Row Non Zero Mean Query
verified: no, type: row_sparsity_mean_query
value: 0.9375
name: Row Sparsity Mean Query
verified: no, type: row_non_zero_mean_corpus
value: 256
name: Row Non Zero Mean Corpus
verified: no, type: row_sparsity_mean_corpus
value: 0.9375
name: Row Sparsity Mean Corpus
verified: no, task: type: sparse-information-retrieval
name: Sparse Information Retrieval
dataset: name: NanoNFCorpus 256
type: NanoNFCorpus_256
metrics: type: dot_accuracy@1
value: 0.32
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: 0.32
name: Dot Precision@1
verified: no, type: dot_precision@3
value: 0.31999999999999995
name: Dot Precision@3
verified: no, type: dot_precision@5
value: 0.316
name: Dot Precision@5
verified: no, type: dot_precision@10
value: 0.262
name: Dot Precision@10
verified: no, type: dot_recall@1
value: 0.030392237560226815
name: Dot Recall@1
verified: no, type: dot_recall@3
value: 0.0717373009745601
name: Dot Recall@3
verified: no, type: dot_recall@5
value: 0.09312218308574575
name: Dot Recall@5
verified: no, type: dot_recall@10
value: 0.133341363492939
name: Dot Recall@10
verified: no, type: dot_ndcg@10
value: 0.30709320262394824
name: Dot Ndcg@10
verified: no, type: dot_mrr@10
value: 0.45252380952380944
name: Dot Mrr@10
verified: no, type: dot_map@100
value: 0.14302697817666413
name: Dot Map@100
verified: no, type: row_non_zero_mean_query
value: 256
name: Row Non Zero Mean Query
verified: no, type: row_sparsity_mean_query
value: 0.9375
name: Row Sparsity Mean Query
verified: no, type: row_non_zero_mean_corpus
value: 256
name: Row Non Zero Mean Corpus
verified: no, type: row_sparsity_mean_corpus
value: 0.9375
name: Row Sparsity Mean Corpus
verified: no, task: type: sparse-information-retrieval
name: Sparse Information Retrieval
dataset: name: NanoNQ 256
type: NanoNQ_256
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: 0.68
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: 0.22
name: Dot Precision@3
verified: no, type: dot_precision@5
value: 0.14
name: Dot Precision@5
verified: no, type: dot_precision@10
value: 0.088
name: Dot Precision@10
verified: no, type: dot_recall@1
value: 0.4
name: Dot Recall@1
verified: no, type: dot_recall@3
value: 0.6
name: Dot Recall@3
verified: no, type: dot_recall@5
value: 0.63
name: Dot Recall@5
verified: no, type: dot_recall@10
value: 0.79
name: Dot Recall@10
verified: no, type: dot_ndcg@10
value: 0.594269599796927
name: Dot Ndcg@10
verified: no, type: dot_mrr@10
value: 0.5505952380952379
name: Dot Mrr@10
verified: no, type: dot_map@100
value: 0.5330295920949546
name: Dot Map@100
verified: no, type: row_non_zero_mean_query
value: 256
name: Row Non Zero Mean Query
verified: no, type: row_sparsity_mean_query
value: 0.9375
name: Row Sparsity Mean Query
verified: no, type: row_non_zero_mean_corpus
value: 256
name: Row Non Zero Mean Corpus
verified: no, type: row_sparsity_mean_corpus
value: 0.9375
name: Row Sparsity Mean Corpus
verified: no, task: type: sparse-nano-beir
name: Sparse Nano BEIR
dataset: name: NanoBEIR mean 256
type: NanoBEIR_mean_256
metrics: type: dot_accuracy@1
value: 0.38666666666666666
name: Dot Accuracy@1
verified: no, type: dot_accuracy@3
value: 0.6333333333333333
name: Dot Accuracy@3
verified: no, type: dot_accuracy@5
value: 0.6866666666666666
name: Dot Accuracy@5
verified: no, type: dot_accuracy@10
value: 0.7933333333333333
name: Dot Accuracy@10
verified: no, type: dot_precision@1
value: 0.38666666666666666
name: Dot Precision@1
verified: no, type: dot_precision@3
value: 0.2577777777777777
name: Dot Precision@3
verified: no, type: dot_precision@5
value: 0.2026666666666667
name: Dot Precision@5
verified: no, type: dot_precision@10
value: 0.14466666666666664
name: Dot Precision@10
verified: no, type: dot_recall@1
value: 0.28346407918674227
name: Dot Recall@1
verified: no, type: dot_recall@3
value: 0.45724576699152
name: Dot Recall@3
verified: no, type: dot_recall@5
value: 0.4943740610285819
name: Dot Recall@5
verified: no, type: dot_recall@10
value: 0.5877804544976463
name: Dot Recall@10
verified: no, type: dot_ndcg@10
value: 0.5113214805365548
name: Dot Ndcg@10
verified: no, type: dot_mrr@10
value: 0.5230767195767194
name: Dot Mrr@10
verified: no, type: dot_map@100
value: 0.41626356321902863
name: Dot Map@100
verified: no, type: row_non_zero_mean_query
value: 256
name: Row Non Zero Mean Query
verified: no, type: row_sparsity_mean_query
value: 0.9375
name: Row Sparsity Mean Query
verified: no, type: row_non_zero_mean_corpus
value: 256
name: Row Non Zero Mean Corpus
verified: no, type: row_sparsity_mean_corpus
value: 0.9375
name: Row Sparsity Mean Corpus
verified: no
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Created: 2025-05-22 11:43:37