Model: tomaarsen/mpnet-base-gooaq-cmnrl-mrl
Author: tomaarsen
Pipeline: sentence-similarity
Library: sentence-transformers
Tags: sentence-transformers, safetensors, mpnet, sentence-similarity, feature-extraction, generated_from_trainer, dataset_size:3012496, loss:MatryoshkaLoss, loss:CachedMultipleNegativesRankingLoss, en, dataset:sentence-transformers/gooaq, arxiv:1908.10084, arxiv:2205.13147, arxiv:2101.06983, base_model:microsoft/mpnet-base, base_model:finetune:microsoft/mpnet-base, license:apache-2.0, model-index, co2_eq_emissions, endpoints_compatible, region:us
Base models (finetune): id: microsoft/mpnet-base
Card metadata: language: en
license: apache-2.0
tags: sentence-transformers, sentence-similarity, feature-extraction, generated_from_trainer, dataset_size:3012496, loss:MatryoshkaLoss, loss:CachedMultipleNegativesRankingLoss
base_model: microsoft/mpnet-base
widget: source_sentence: how to sign legal documents as power of attorney?
sentences: After the principal's name, write “by” and then sign your own name. Under or after the signature line, indicate your status as POA by including any of the following identifiers: as POA, as Agent, as Attorney in Fact or as Power of Attorney., From the Home screen, swipe left to Apps., Tap Transfer my Data., Tap Menu (...)., Tap Export to SD card., Ginger Dank Nugs (Grape) - 350mg. Feast your eyes on these unique and striking gourmet chocolates; Coco Nugs created by Ginger Dank. Crafted to resemble perfect nugs of cannabis, each of the 10 buds contains 35mg of THC. ... This is a perfect product for both cannabis and chocolate lovers, who appreciate a little twist., source_sentence: how to delete vdom in fortigate?
sentences: Go to System -> VDOM -> VDOM2 and select 'Delete'. This VDOM is now successfully removed from the configuration., Both combination birth control pills and progestin-only pills may cause headaches as a side effect. Additional side effects of birth control pills may include: breast tenderness. nausea., White cheese tends to show imperfections more readily and as consumers got more used to yellow-orange cheese, it became an expected option. Today, many cheddars are yellow. While most cheesemakers use annatto, some use an artificial coloring agent instead, according to Sachs., source_sentence: where are earthquakes most likely to occur on earth?
sentences: Zelle in the Bank of the America app is a fast, safe, and easy way to send and receive money with family and friends who have a bank account in the U.S., all with no fees. Money moves in minutes directly between accounts that are already enrolled with Zelle., It takes about 3 days for a spacecraft to reach the Moon. During that time a spacecraft travels at least 240,000 miles (386,400 kilometers) which is the distance between Earth and the Moon., Most earthquakes occur along the edge of the oceanic and continental plates. The earth's crust (the outer layer of the planet) is made up of several pieces, called plates. The plates under the oceans are called oceanic plates and the rest are continental plates., source_sentence: fix iphone is disabled connect to itunes without itunes?
sentences: To fix a disabled iPhone or iPad without iTunes, you have to erase your device. Click on the "Erase iPhone" option and confirm your selection. Wait for a while as the "Find My iPhone" feature will remotely erase your iOS device. Needless to say, it will also disable its lock., How Māui brought fire to the world. One evening, after eating a hearty meal, Māui lay beside his fire staring into the flames. ... In the middle of the night, while everyone was sleeping, Māui went from village to village and extinguished all the fires until not a single fire burned in the world., Angry Orchard makes a variety of year-round craft cider styles, including Angry Orchard Crisp Apple, a fruit-forward hard cider that balances the sweetness of culinary apples with dryness and bright acidity of bittersweet apples for a complex, refreshing taste., source_sentence: how to reverse a video on tiktok that's not yours?
sentences: Tap "Effects" at the bottom of your screen — it's an icon that looks like a clock. Open the Effects menu. ... , At the end of the new list that appears, tap "Time." Select "Time" at the end. ... , Select "Reverse" — you'll then see a preview of your new, reversed video appear on the screen., Franchise Facts Poke Bar has a franchise fee of up to $30,000, with a total initial investment range of $157,800 to $438,000. The initial cost of a franchise includes several fees -- Unlock this franchise to better understand the costs such as training and territory fees., Relative age is the age of a rock layer (or the fossils it contains) compared to other layers. It can be determined by looking at the position of rock layers. Absolute age is the numeric age of a layer of rocks or fossils. Absolute age can be determined by using radiometric dating.
datasets: sentence-transformers/gooaq
pipeline_tag: sentence-similarity
library_name: sentence-transformers
metrics: cosine_accuracy@1, cosine_accuracy@3, cosine_accuracy@5, cosine_accuracy@10, cosine_precision@1, cosine_precision@3, cosine_precision@5, cosine_precision@10, cosine_recall@1, cosine_recall@3, cosine_recall@5, cosine_recall@10, cosine_ndcg@10, cosine_mrr@10, cosine_map@100
co2_eq_emissions: emissions: 901.0176370050929
energy_consumed: 2.3180164676412596
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: 5.999
hardware_used: 1 x NVIDIA GeForce RTX 3090
model-index: name: MPNet base trained on GooAQ triplets
results: task: type: information-retrieval
name: Information Retrieval
dataset: name: NanoClimateFEVER
type: NanoClimateFEVER
metrics: type: cosine_accuracy@1
value: 0.26
name: Cosine Accuracy@1
verified: no, type: cosine_accuracy@3
value: 0.46
name: Cosine Accuracy@3
verified: no, type: cosine_accuracy@5
value: 0.5
name: Cosine Accuracy@5
verified: no, type: cosine_accuracy@10
value: 0.62
name: Cosine Accuracy@10
verified: no, type: cosine_precision@1
value: 0.26
name: Cosine Precision@1
verified: no, type: cosine_precision@3
value: 0.1733333333333333
name: Cosine Precision@3
verified: no, type: cosine_precision@5
value: 0.11600000000000002
name: Cosine Precision@5
verified: no, type: cosine_precision@10
value: 0.08199999999999999
name: Cosine Precision@10
verified: no, type: cosine_recall@1
value: 0.12833333333333333
name: Cosine Recall@1
verified: no, type: cosine_recall@3
value: 0.23566666666666664
name: Cosine Recall@3
verified: no, type: cosine_recall@5
value: 0.2523333333333333
name: Cosine Recall@5
verified: no, type: cosine_recall@10
value: 0.3423333333333333
name: Cosine Recall@10
verified: no, type: cosine_ndcg@10
value: 0.2832168283343785
name: Cosine Ndcg@10
verified: no, type: cosine_mrr@10
value: 0.3685714285714285
name: Cosine Mrr@10
verified: no, type: cosine_map@100
value: 0.22816684702715823
name: Cosine Map@100
verified: no, task: type: information-retrieval
name: Information Retrieval
dataset: name: NanoDBPedia
type: NanoDBPedia
metrics: type: cosine_accuracy@1
value: 0.56
name: Cosine Accuracy@1
verified: no, type: cosine_accuracy@3
value: 0.78
name: Cosine Accuracy@3
verified: no, type: cosine_accuracy@5
value: 0.82
name: Cosine Accuracy@5
verified: no, type: cosine_accuracy@10
value: 0.88
name: Cosine Accuracy@10
verified: no, type: cosine_precision@1
value: 0.56
name: Cosine Precision@1
verified: no, type: cosine_precision@3
value: 0.5
name: Cosine Precision@3
verified: no, type: cosine_precision@5
value: 0.436
name: Cosine Precision@5
verified: no, type: cosine_precision@10
value: 0.37800000000000006
name: Cosine Precision@10
verified: no, type: cosine_recall@1
value: 0.05411706752798353
name: Cosine Recall@1
verified: no, type: cosine_recall@3
value: 0.12035295895525228
name: Cosine Recall@3
verified: no, type: cosine_recall@5
value: 0.15928246254162917
name: Cosine Recall@5
verified: no, type: cosine_recall@10
value: 0.23697530489351543
name: Cosine Recall@10
verified: no, type: cosine_ndcg@10
value: 0.4605652479922868
name: Cosine Ndcg@10
verified: no, type: cosine_mrr@10
value: 0.6701666666666667
name: Cosine Mrr@10
verified: no, type: cosine_map@100
value: 0.313461519912651
name: Cosine Map@100
verified: no, task: type: information-retrieval
name: Information Retrieval
dataset: name: NanoFEVER
type: NanoFEVER
metrics: type: cosine_accuracy@1
value: 0.62
name: Cosine Accuracy@1
verified: no, type: cosine_accuracy@3
value: 0.82
name: Cosine Accuracy@3
verified: no, type: cosine_accuracy@5
value: 0.84
name: Cosine Accuracy@5
verified: no, type: cosine_accuracy@10
value: 0.9
name: Cosine Accuracy@10
verified: no, type: cosine_precision@1
value: 0.62
name: Cosine Precision@1
verified: no, type: cosine_precision@3
value: 0.27999999999999997
name: Cosine Precision@3
verified: no, type: cosine_precision@5
value: 0.172
name: Cosine Precision@5
verified: no, type: cosine_precision@10
value: 0.092
name: Cosine Precision@10
verified: no, type: cosine_recall@1
value: 0.5766666666666667
name: Cosine Recall@1
verified: no, type: cosine_recall@3
value: 0.7866666666666667
name: Cosine Recall@3
verified: no, type: cosine_recall@5
value: 0.8066666666666668
name: Cosine Recall@5
verified: no, type: cosine_recall@10
value: 0.8666666666666667
name: Cosine Recall@10
verified: no, type: cosine_ndcg@10
value: 0.7421816204572005
name: Cosine Ndcg@10
verified: no, type: cosine_mrr@10
value: 0.7256349206349206
name: Cosine Mrr@10
verified: no, type: cosine_map@100
value: 0.6984857882513162
name: Cosine Map@100
verified: no, task: type: information-retrieval
name: Information Retrieval
dataset: name: NanoFiQA2018
type: NanoFiQA2018
metrics: type: cosine_accuracy@1
value: 0.4
name: Cosine Accuracy@1
verified: no, type: cosine_accuracy@3
value: 0.52
name: Cosine Accuracy@3
verified: no, type: cosine_accuracy@5
value: 0.6
name: Cosine Accuracy@5
verified: no, type: cosine_accuracy@10
value: 0.68
name: Cosine Accuracy@10
verified: no, type: cosine_precision@1
value: 0.4
name: Cosine Precision@1
verified: no, type: cosine_precision@3
value: 0.26
name: Cosine Precision@3
verified: no, type: cosine_precision@5
value: 0.188
name: Cosine Precision@5
verified: no, type: cosine_precision@10
value: 0.11199999999999999
name: Cosine Precision@10
verified: no, type: cosine_recall@1
value: 0.24385714285714286
name: Cosine Recall@1
verified: no, type: cosine_recall@3
value: 0.37612698412698414
name: Cosine Recall@3
verified: no, type: cosine_recall@5
value: 0.429515873015873
name: Cosine Recall@5
verified: no, type: cosine_recall@10
value: 0.5025952380952381
name: Cosine Recall@10
verified: no, type: cosine_ndcg@10
value: 0.43956943866243664
name: Cosine Ndcg@10
verified: no, type: cosine_mrr@10
value: 0.48483333333333334
name: Cosine Mrr@10
verified: no, type: cosine_map@100
value: 0.39610909278538586
name: Cosine Map@100
verified: no, task: type: information-retrieval
name: Information Retrieval
dataset: name: NanoHotpotQA
type: NanoHotpotQA
metrics: type: cosine_accuracy@1
value: 0.6
name: Cosine Accuracy@1
verified: no, type: cosine_accuracy@3
value: 0.72
name: Cosine Accuracy@3
verified: no, type: cosine_accuracy@5
value: 0.78
name: Cosine Accuracy@5
verified: no, type: cosine_accuracy@10
value: 0.84
name: Cosine Accuracy@10
verified: no, type: cosine_precision@1
value: 0.6
name: Cosine Precision@1
verified: no, type: cosine_precision@3
value: 0.31999999999999995
name: Cosine Precision@3
verified: no, type: cosine_precision@5
value: 0.204
name: Cosine Precision@5
verified: no, type: cosine_precision@10
value: 0.11799999999999997
name: Cosine Precision@10
verified: no, type: cosine_recall@1
value: 0.3
name: Cosine Recall@1
verified: no, type: cosine_recall@3
value: 0.48
name: Cosine Recall@3
verified: no, type: cosine_recall@5
value: 0.51
name: Cosine Recall@5
verified: no, type: cosine_recall@10
value: 0.59
name: Cosine Recall@10
verified: no, type: cosine_ndcg@10
value: 0.5463522282651155
name: Cosine Ndcg@10
verified: no, type: cosine_mrr@10
value: 0.6749126984126984
name: Cosine Mrr@10
verified: no, type: cosine_map@100
value: 0.4777656892588857
name: Cosine Map@100
verified: no, task: type: information-retrieval
name: Information Retrieval
dataset: name: NanoMSMARCO
type: NanoMSMARCO
metrics: type: cosine_accuracy@1
value: 0.26
name: Cosine Accuracy@1
verified: no, type: cosine_accuracy@3
value: 0.54
name: Cosine Accuracy@3
verified: no, type: cosine_accuracy@5
value: 0.7
name: Cosine Accuracy@5
verified: no, type: cosine_accuracy@10
value: 0.82
name: Cosine Accuracy@10
verified: no, type: cosine_precision@1
value: 0.26
name: Cosine Precision@1
verified: no, type: cosine_precision@3
value: 0.18
name: Cosine Precision@3
verified: no, type: cosine_precision@5
value: 0.14
name: Cosine Precision@5
verified: no, type: cosine_precision@10
value: 0.08199999999999999
name: Cosine Precision@10
verified: no, type: cosine_recall@1
value: 0.26
name: Cosine Recall@1
verified: no, type: cosine_recall@3
value: 0.54
name: Cosine Recall@3
verified: no, type: cosine_recall@5
value: 0.7
name: Cosine Recall@5
verified: no, type: cosine_recall@10
value: 0.82
name: Cosine Recall@10
verified: no, type: cosine_ndcg@10
value: 0.5254388867327386
name: Cosine Ndcg@10
verified: no, type: cosine_mrr@10
value: 0.43241269841269836
name: Cosine Mrr@10
verified: no, type: cosine_map@100
value: 0.44192370495002076
name: Cosine Map@100
verified: no, task: type: information-retrieval
name: Information Retrieval
dataset: name: NanoNFCorpus
type: NanoNFCorpus
metrics: type: cosine_accuracy@1
value: 0.42
name: Cosine Accuracy@1
verified: no, type: cosine_accuracy@3
value: 0.52
name: Cosine Accuracy@3
verified: no, type: cosine_accuracy@5
value: 0.54
name: Cosine Accuracy@5
verified: no, type: cosine_accuracy@10
value: 0.64
name: Cosine Accuracy@10
verified: no, type: cosine_precision@1
value: 0.42
name: Cosine Precision@1
verified: no, type: cosine_precision@3
value: 0.3533333333333333
name: Cosine Precision@3
verified: no, type: cosine_precision@5
value: 0.29600000000000004
name: Cosine Precision@5
verified: no, type: cosine_precision@10
value: 0.22999999999999995
name: Cosine Precision@10
verified: no, type: cosine_recall@1
value: 0.024846889440892198
name: Cosine Recall@1
verified: no, type: cosine_recall@3
value: 0.050109275117862714
name: Cosine Recall@3
verified: no, type: cosine_recall@5
value: 0.06353201637623539
name: Cosine Recall@5
verified: no, type: cosine_recall@10
value: 0.08853093525637233
name: Cosine Recall@10
verified: no, type: cosine_ndcg@10
value: 0.2784279013606366
name: Cosine Ndcg@10
verified: no, type: cosine_mrr@10
value: 0.48200000000000004
name: Cosine Mrr@10
verified: no, type: cosine_map@100
value: 0.1099281411687893
name: Cosine Map@100
verified: no, task: type: information-retrieval
name: Information Retrieval
dataset: name: NanoNQ
type: NanoNQ
metrics: type: cosine_accuracy@1
value: 0.46
name: Cosine Accuracy@1
verified: no, type: cosine_accuracy@3
value: 0.64
name: Cosine Accuracy@3
verified: no, type: cosine_accuracy@5
value: 0.68
name: Cosine Accuracy@5
verified: no, type: cosine_accuracy@10
value: 0.8
name: Cosine Accuracy@10
verified: no, type: cosine_precision@1
value: 0.46
name: Cosine Precision@1
verified: no, type: cosine_precision@3
value: 0.22666666666666666
name: Cosine Precision@3
verified: no, type: cosine_precision@5
value: 0.14400000000000002
name: Cosine Precision@5
verified: no, type: cosine_precision@10
value: 0.08399999999999999
name: Cosine Precision@10
verified: no, type: cosine_recall@1
value: 0.44
name: Cosine Recall@1
verified: no, type: cosine_recall@3
value: 0.63
name: Cosine Recall@3
verified: no, type: cosine_recall@5
value: 0.67
name: Cosine Recall@5
verified: no, type: cosine_recall@10
value: 0.76
name: Cosine Recall@10
verified: no, type: cosine_ndcg@10
value: 0.6103091812374759
name: Cosine Ndcg@10
verified: no, type: cosine_mrr@10
value: 0.5662380952380953
name: Cosine Mrr@10
verified: no, type: cosine_map@100
value: 0.5687228298733515
name: Cosine Map@100
verified: no, task: type: information-retrieval
name: Information Retrieval
dataset: name: NanoQuoraRetrieval
type: NanoQuoraRetrieval
metrics: type: cosine_accuracy@1
value: 0.92
name: Cosine Accuracy@1
verified: no, type: cosine_accuracy@3
value: 0.98
name: Cosine Accuracy@3
verified: no, type: cosine_accuracy@5
value: 0.98
name: Cosine Accuracy@5
verified: no, type: cosine_accuracy@10
value: 1
name: Cosine Accuracy@10
verified: no, type: cosine_precision@1
value: 0.92
name: Cosine Precision@1
verified: no, type: cosine_precision@3
value: 0.40666666666666657
name: Cosine Precision@3
verified: no, type: cosine_precision@5
value: 0.25599999999999995
name: Cosine Precision@5
verified: no, type: cosine_precision@10
value: 0.13399999999999998
name: Cosine Precision@10
verified: no, type: cosine_recall@1
value: 0.7973333333333332
name: Cosine Recall@1
verified: no, type: cosine_recall@3
value: 0.9453333333333334
name: Cosine Recall@3
verified: no, type: cosine_recall@5
value: 0.9593333333333334
name: Cosine Recall@5
verified: no, type: cosine_recall@10
value: 0.9893333333333334
name: Cosine Recall@10
verified: no, type: cosine_ndcg@10
value: 0.9468303023215506
name: Cosine Ndcg@10
verified: no, type: cosine_mrr@10
value: 0.948888888888889
name: Cosine Mrr@10
verified: no, type: cosine_map@100
value: 0.9245031746031745
name: Cosine Map@100
verified: no, task: type: information-retrieval
name: Information Retrieval
dataset: name: NanoSCIDOCS
type: NanoSCIDOCS
metrics: type: cosine_accuracy@1
value: 0.34
name: Cosine Accuracy@1
verified: no, type: cosine_accuracy@3
value: 0.54
name: Cosine Accuracy@3
verified: no, type: cosine_accuracy@5
value: 0.64
name: Cosine Accuracy@5
verified: no, type: cosine_accuracy@10
value: 0.76
name: Cosine Accuracy@10
verified: no, type: cosine_precision@1
value: 0.34
name: Cosine Precision@1
verified: no, type: cosine_precision@3
value: 0.26
name: Cosine Precision@3
verified: no, type: cosine_precision@5
value: 0.21600000000000003
name: Cosine Precision@5
verified: no, type: cosine_precision@10
value: 0.148
name: Cosine Precision@10
verified: no, type: cosine_recall@1
value: 0.07
name: Cosine Recall@1
verified: no, type: cosine_recall@3
value: 0.16
name: Cosine Recall@3
verified: no, type: cosine_recall@5
value: 0.22266666666666668
name: Cosine Recall@5
verified: no, type: cosine_recall@10
value: 0.3046666666666667
name: Cosine Recall@10
verified: no, type: cosine_ndcg@10
value: 0.29180682575954126
name: Cosine Ndcg@10
verified: no, type: cosine_mrr@10
value: 0.4679126984126984
name: Cosine Mrr@10
verified: no, type: cosine_map@100
value: 0.20981154821773768
name: Cosine Map@100
verified: no, task: type: information-retrieval
name: Information Retrieval
dataset: name: NanoArguAna
type: NanoArguAna
metrics: type: cosine_accuracy@1
value: 0.24
name: Cosine Accuracy@1
verified: no, type: cosine_accuracy@3
value: 0.5
name: Cosine Accuracy@3
verified: no, type: cosine_accuracy@5
value: 0.68
name: Cosine Accuracy@5
verified: no, type: cosine_accuracy@10
value: 0.82
name: Cosine Accuracy@10
verified: no, type: cosine_precision@1
value: 0.24
name: Cosine Precision@1
verified: no, type: cosine_precision@3
value: 0.16666666666666663
name: Cosine Precision@3
verified: no, type: cosine_precision@5
value: 0.136
name: Cosine Precision@5
verified: no, type: cosine_precision@10
value: 0.08199999999999999
name: Cosine Precision@10
verified: no, type: cosine_recall@1
value: 0.24
name: Cosine Recall@1
verified: no, type: cosine_recall@3
value: 0.5
name: Cosine Recall@3
verified: no, type: cosine_recall@5
value: 0.68
name: Cosine Recall@5
verified: no, type: cosine_recall@10
value: 0.82
name: Cosine Recall@10
verified: no, type: cosine_ndcg@10
value: 0.5108280876289467
name: Cosine Ndcg@10
verified: no, type: cosine_mrr@10
value: 0.413579365079365
name: Cosine Mrr@10
verified: no, type: cosine_map@100
value: 0.42352200577200577
name: Cosine Map@100
verified: no, task: type: information-retrieval
name: Information Retrieval
dataset: name: NanoSciFact
type: NanoSciFact
metrics: type: cosine_accuracy@1
value: 0.52
name: Cosine Accuracy@1
verified: no, type: cosine_accuracy@3
value: 0.64
name: Cosine Accuracy@3
verified: no, type: cosine_accuracy@5
value: 0.72
name: Cosine Accuracy@5
verified: no, type: cosine_accuracy@10
value: 0.74
name: Cosine Accuracy@10
verified: no, type: cosine_precision@1
value: 0.52
name: Cosine Precision@1
verified: no, type: cosine_precision@3
value: 0.22666666666666668
name: Cosine Precision@3
verified: no, type: cosine_precision@5
value: 0.16
name: Cosine Precision@5
verified: no, type: cosine_precision@10
value: 0.08399999999999999
name: Cosine Precision@10
verified: no, type: cosine_recall@1
value: 0.485
name: Cosine Recall@1
verified: no, type: cosine_recall@3
value: 0.61
name: Cosine Recall@3
verified: no, type: cosine_recall@5
value: 0.705
name: Cosine Recall@5
verified: no, type: cosine_recall@10
value: 0.73
name: Cosine Recall@10
verified: no, type: cosine_ndcg@10
value: 0.6181538011380482
name: Cosine Ndcg@10
verified: no, type: cosine_mrr@10
value: 0.5913333333333333
name: Cosine Mrr@10
verified: no, type: cosine_map@100
value: 0.5833669046006453
name: Cosine Map@100
verified: no, task: type: information-retrieval
name: Information Retrieval
dataset: name: NanoTouche2020
type: NanoTouche2020
metrics: type: cosine_accuracy@1
value: 0.5102040816326531
name: Cosine Accuracy@1
verified: no, type: cosine_accuracy@3
value: 0.8163265306122449
name: Cosine Accuracy@3
verified: no, type: cosine_accuracy@5
value: 0.8571428571428571
name: Cosine Accuracy@5
verified: no, type: cosine_accuracy@10
value: 0.9795918367346939
name: Cosine Accuracy@10
verified: no, type: cosine_precision@1
value: 0.5102040816326531
name: Cosine Precision@1
verified: no, type: cosine_precision@3
value: 0.510204081632653
name: Cosine Precision@3
verified: no, type: cosine_precision@5
value: 0.47346938775510194
name: Cosine Precision@5
verified: no, type: cosine_precision@10
value: 0.41020408163265304
name: Cosine Precision@10
verified: no, type: cosine_recall@1
value: 0.03893285013079613
name: Cosine Recall@1
verified: no, type: cosine_recall@3
value: 0.11588553532033441
name: Cosine Recall@3
verified: no, type: cosine_recall@5
value: 0.17562928121209787
name: Cosine Recall@5
verified: no, type: cosine_recall@10
value: 0.2858043118244373
name: Cosine Recall@10
verified: no, type: cosine_ndcg@10
value: 0.4588632608031716
name: Cosine Ndcg@10
verified: no, type: cosine_mrr@10
value: 0.6822238419177193
name: Cosine Mrr@10
verified: no, type: cosine_map@100
value: 0.36126308261178003
name: Cosine Map@100
verified: no, task: type: nano-beir
name: Nano BEIR
dataset: name: NanoBEIR mean
type: NanoBEIR_mean
metrics: type: cosine_accuracy@1
value: 0.47001569858712716
name: Cosine Accuracy@1
verified: no, type: cosine_accuracy@3
value: 0.6520251177394034
name: Cosine Accuracy@3
verified: no, type: cosine_accuracy@5
value: 0.7182417582417582
name: Cosine Accuracy@5
verified: no, type: cosine_accuracy@10
value: 0.8061224489795917
name: Cosine Accuracy@10
verified: no, type: cosine_precision@1
value: 0.47001569858712716
name: Cosine Precision@1
verified: no, type: cosine_precision@3
value: 0.2971951857666143
name: Cosine Precision@3
verified: no, type: cosine_precision@5
value: 0.2259591836734694
name: Cosine Precision@5
verified: no, type: cosine_precision@10
value: 0.15663108320251176
name: Cosine Precision@10
verified: no, type: cosine_recall@1
value: 0.2814682525607806
name: Cosine Recall@1
verified: no, type: cosine_recall@3
value: 0.4269339553990077
name: Cosine Recall@3
verified: no, type: cosine_recall@5
value: 0.48722766408814117
name: Cosine Recall@5
verified: no, type: cosine_recall@10
value: 0.5643773684668895
name: Cosine Recall@10
verified: no, type: cosine_ndcg@10
value: 0.5163495085148867
name: Cosine Ndcg@10
verified: no, type: cosine_mrr@10
value: 0.5775929206847574
name: Cosine Mrr@10
verified: no, type: cosine_map@100
value: 0.4413100253102233
name: Cosine Map@100
verified: no
Likes: 0 | All-time downloads: 115
Created: 2024-11-18 21:21:53