Model: tomaarsen/mpnet-base-nq-cgist-triplet-mask-initial
Author: tomaarsen
Pipeline: sentence-similarity
Library: sentence-transformers
Tags: sentence-transformers, safetensors, mpnet, sentence-similarity, feature-extraction, generated_from_trainer, dataset_size:50000, loss:CachedGISTEmbedLoss, en, dataset:tomaarsen/gooaq-hard-negatives, arxiv:1908.10084, 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:50000, loss:CachedGISTEmbedLoss
base_model: microsoft/mpnet-base
widget: source_sentence: what does the accounts receivable turnover measure?
sentences: The accounts receivable turnover ratio is an accounting measure used to quantify a company's effectiveness in collecting its receivables or money owed by clients. The ratio shows how well a company uses and manages the credit it extends to customers and how quickly that short-term debt is collected or is paid., Capital budgeting, and investment appraisal, is the planning process used to determine whether an organization's long term investments such as new machinery, replacement of machinery, new plants, new products, and research development projects are worth the funding of cash through the firm's capitalization structure ( ..., The accounts receivable turnover ratio is an accounting measure used to quantify a company's effectiveness in collecting its receivables or money owed by clients. The ratio shows how well a company uses and manages the credit it extends to customers and how quickly that short-term debt is collected or is paid., source_sentence: does gabapentin cause liver problems?
sentences: Gabapentin has no appreciable liver metabolism, yet, suspected cases of gabapentin-induced hepatotoxicity have been reported. Per literature review, two cases of possible gabapentin-induced liver injury have been reported., Strongholds are a type of story mission which only unlocks after enough progression through the game. There are three Stronghold's during the first section of progression through The Division 2. You'll need to complete the first two and have reached level 30 before being able to unlock the final Stronghold., The most-common side effects attributed to Gabapentin include mild sedation, ataxia, and occasional diarrhea. Sedation can be minimized by tapering from a smaller starting dose to the desired dose. When treating seizures, it is ideal to wean off the drug to reduce the risk of withdrawal seizures., source_sentence: how long should you wait to give blood after eating?
sentences: Until the bleeding has stopped it is natural to taste blood or to see traces of blood in your saliva. You may stop using gauze after the flow stops – usually around 8 hours after surgery., Before donation The first and most important rule—never donate blood on an empty stomach. “Eat a wholesome meal about 2-3 hours before donating to keep your blood sugar stable," says Dr Chaturvedi. The timing of the meal is important too. You need to allow the food to be digested properly before the blood is drawn., While grid computing involves virtualizing computing resources to store massive amounts of data, whereas cloud computing is where an application doesn't access resources directly, rather it accesses them through a service over the internet. ..., source_sentence: what is the difference between chicken francese and chicken marsala?
sentences: Chicken is the species name, equivalent to our “human.” Rooster is an adult male, equivalent to “man.” Hen is an adult female, equivalent to “woman.” Cockerel is a juvenile male, equivalent to “boy/young man.”, What is 99 kg in pounds? - 99 kg is equal to 218.26 pounds., The difference between the two is for Francese, the chicken breast is first dipped in flour, then into a beaten egg mixture, before being cooked. For piccata, the chicken is first dipped in egg and then in flour. Both are then simmered in a lemony butter sauce, but the piccata sauce includes capers.”, source_sentence: what energy is released when coal is burned?
sentences: When coal is burned, it reacts with the oxygen in the air. This chemical reaction converts the stored solar energy into thermal energy, which is released as heat. But it also produces carbon dioxide and methane., When coal is burned it releases a number of airborne toxins and pollutants. They include mercury, lead, sulfur dioxide, nitrogen oxides, particulates, and various other heavy metals., Squad Building Challenges allow you to exchange sets of players for coins, packs, and special items in FUT 20. Each of these challenges come with specific requirements, such as including players from certain teams. ... Live SBCs are time-limited challenges which often give out unique, high-rated versions of players.
datasets: tomaarsen/gooaq-hard-negatives
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: 40.416471447949384
energy_consumed: 0.10397803831199579
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: 0.273
hardware_used: 1 x NVIDIA GeForce RTX 3090
model-index: name: MPNet base trained on Natural Questions pairs
results: task: type: information-retrieval
name: Information Retrieval
dataset: name: NanoClimateFEVER
type: NanoClimateFEVER
metrics: type: cosine_accuracy@1
value: 0.22
name: Cosine Accuracy@1
verified: no, type: cosine_accuracy@3
value: 0.44
name: Cosine Accuracy@3
verified: no, type: cosine_accuracy@5
value: 0.5
name: Cosine Accuracy@5
verified: no, type: cosine_accuracy@10
value: 0.72
name: Cosine Accuracy@10
verified: no, type: cosine_precision@1
value: 0.22
name: Cosine Precision@1
verified: no, type: cosine_precision@3
value: 0.16666666666666663
name: Cosine Precision@3
verified: no, type: cosine_precision@5
value: 0.11599999999999999
name: Cosine Precision@5
verified: no, type: cosine_precision@10
value: 0.092
name: Cosine Precision@10
verified: no, type: cosine_recall@1
value: 0.09333333333333332
name: Cosine Recall@1
verified: no, type: cosine_recall@3
value: 0.195
name: Cosine Recall@3
verified: no, type: cosine_recall@5
value: 0.22666666666666666
name: Cosine Recall@5
verified: no, type: cosine_recall@10
value: 0.36733333333333335
name: Cosine Recall@10
verified: no, type: cosine_ndcg@10
value: 0.27334708954752546
name: Cosine Ndcg@10
verified: no, type: cosine_mrr@10
value: 0.36268253968253966
name: Cosine Mrr@10
verified: no, type: cosine_map@100
value: 0.2030635178169122
name: Cosine Map@100
verified: no, task: type: information-retrieval
name: Information Retrieval
dataset: name: NanoDBPedia
type: NanoDBPedia
metrics: type: cosine_accuracy@1
value: 0.44
name: Cosine Accuracy@1
verified: no, type: cosine_accuracy@3
value: 0.66
name: Cosine Accuracy@3
verified: no, type: cosine_accuracy@5
value: 0.74
name: Cosine Accuracy@5
verified: no, type: cosine_accuracy@10
value: 0.82
name: Cosine Accuracy@10
verified: no, type: cosine_precision@1
value: 0.44
name: Cosine Precision@1
verified: no, type: cosine_precision@3
value: 0.38666666666666666
name: Cosine Precision@3
verified: no, type: cosine_precision@5
value: 0.37200000000000005
name: Cosine Precision@5
verified: no, type: cosine_precision@10
value: 0.34600000000000003
name: Cosine Precision@10
verified: no, type: cosine_recall@1
value: 0.03040608825384637
name: Cosine Recall@1
verified: no, type: cosine_recall@3
value: 0.07615846857205867
name: Cosine Recall@3
verified: no, type: cosine_recall@5
value: 0.11999750129731426
name: Cosine Recall@5
verified: no, type: cosine_recall@10
value: 0.2193590803164296
name: Cosine Recall@10
verified: no, type: cosine_ndcg@10
value: 0.388302838821125
name: Cosine Ndcg@10
verified: no, type: cosine_mrr@10
value: 0.5594126984126983
name: Cosine Mrr@10
verified: no, type: cosine_map@100
value: 0.278242819200185
name: Cosine Map@100
verified: no, task: type: information-retrieval
name: Information Retrieval
dataset: name: NanoFEVER
type: NanoFEVER
metrics: type: cosine_accuracy@1
value: 0.38
name: Cosine Accuracy@1
verified: no, type: cosine_accuracy@3
value: 0.54
name: Cosine Accuracy@3
verified: no, type: cosine_accuracy@5
value: 0.58
name: Cosine Accuracy@5
verified: no, type: cosine_accuracy@10
value: 0.68
name: Cosine Accuracy@10
verified: no, type: cosine_precision@1
value: 0.38
name: Cosine Precision@1
verified: no, type: cosine_precision@3
value: 0.18
name: Cosine Precision@3
verified: no, type: cosine_precision@5
value: 0.12
name: Cosine Precision@5
verified: no, type: cosine_precision@10
value: 0.07
name: Cosine Precision@10
verified: no, type: cosine_recall@1
value: 0.37
name: Cosine Recall@1
verified: no, type: cosine_recall@3
value: 0.52
name: Cosine Recall@3
verified: no, type: cosine_recall@5
value: 0.57
name: Cosine Recall@5
verified: no, type: cosine_recall@10
value: 0.66
name: Cosine Recall@10
verified: no, type: cosine_ndcg@10
value: 0.5161962245159489
name: Cosine Ndcg@10
verified: no, type: cosine_mrr@10
value: 0.47610317460317453
name: Cosine Mrr@10
verified: no, type: cosine_map@100
value: 0.47704035866094685
name: Cosine Map@100
verified: no, task: type: information-retrieval
name: Information Retrieval
dataset: name: NanoFiQA2018
type: NanoFiQA2018
metrics: type: cosine_accuracy@1
value: 0.26
name: Cosine Accuracy@1
verified: no, type: cosine_accuracy@3
value: 0.5
name: Cosine Accuracy@3
verified: no, type: cosine_accuracy@5
value: 0.52
name: Cosine Accuracy@5
verified: no, type: cosine_accuracy@10
value: 0.58
name: Cosine Accuracy@10
verified: no, type: cosine_precision@1
value: 0.26
name: Cosine Precision@1
verified: no, type: cosine_precision@3
value: 0.22
name: Cosine Precision@3
verified: no, type: cosine_precision@5
value: 0.16
name: Cosine Precision@5
verified: no, type: cosine_precision@10
value: 0.09799999999999999
name: Cosine Precision@10
verified: no, type: cosine_recall@1
value: 0.13433333333333333
name: Cosine Recall@1
verified: no, type: cosine_recall@3
value: 0.3226904761904762
name: Cosine Recall@3
verified: no, type: cosine_recall@5
value: 0.3653571428571428
name: Cosine Recall@5
verified: no, type: cosine_recall@10
value: 0.43073809523809525
name: Cosine Recall@10
verified: no, type: cosine_ndcg@10
value: 0.34083869249027804
name: Cosine Ndcg@10
verified: no, type: cosine_mrr@10
value: 0.3756904761904761
name: Cosine Mrr@10
verified: no, type: cosine_map@100
value: 0.2830059503847294
name: Cosine Map@100
verified: no, task: type: information-retrieval
name: Information Retrieval
dataset: name: NanoHotpotQA
type: NanoHotpotQA
metrics: type: cosine_accuracy@1
value: 0.34
name: Cosine Accuracy@1
verified: no, type: cosine_accuracy@3
value: 0.58
name: Cosine Accuracy@3
verified: no, type: cosine_accuracy@5
value: 0.64
name: Cosine Accuracy@5
verified: no, type: cosine_accuracy@10
value: 0.74
name: Cosine Accuracy@10
verified: no, type: cosine_precision@1
value: 0.34
name: Cosine Precision@1
verified: no, type: cosine_precision@3
value: 0.21333333333333332
name: Cosine Precision@3
verified: no, type: cosine_precision@5
value: 0.14400000000000002
name: Cosine Precision@5
verified: no, type: cosine_precision@10
value: 0.094
name: Cosine Precision@10
verified: no, type: cosine_recall@1
value: 0.17
name: Cosine Recall@1
verified: no, type: cosine_recall@3
value: 0.32
name: Cosine Recall@3
verified: no, type: cosine_recall@5
value: 0.36
name: Cosine Recall@5
verified: no, type: cosine_recall@10
value: 0.47
name: Cosine Recall@10
verified: no, type: cosine_ndcg@10
value: 0.3823677764194786
name: Cosine Ndcg@10
verified: no, type: cosine_mrr@10
value: 0.4719365079365079
name: Cosine Mrr@10
verified: no, type: cosine_map@100
value: 0.3071047037648779
name: Cosine Map@100
verified: no, task: type: information-retrieval
name: Information Retrieval
dataset: name: NanoMSMARCO
type: NanoMSMARCO
metrics: type: cosine_accuracy@1
value: 0.12
name: Cosine Accuracy@1
verified: no, type: cosine_accuracy@3
value: 0.34
name: Cosine Accuracy@3
verified: no, type: cosine_accuracy@5
value: 0.54
name: Cosine Accuracy@5
verified: no, type: cosine_accuracy@10
value: 0.66
name: Cosine Accuracy@10
verified: no, type: cosine_precision@1
value: 0.12
name: Cosine Precision@1
verified: no, type: cosine_precision@3
value: 0.11333333333333333
name: Cosine Precision@3
verified: no, type: cosine_precision@5
value: 0.10800000000000001
name: Cosine Precision@5
verified: no, type: cosine_precision@10
value: 0.066
name: Cosine Precision@10
verified: no, type: cosine_recall@1
value: 0.12
name: Cosine Recall@1
verified: no, type: cosine_recall@3
value: 0.34
name: Cosine Recall@3
verified: no, type: cosine_recall@5
value: 0.54
name: Cosine Recall@5
verified: no, type: cosine_recall@10
value: 0.66
name: Cosine Recall@10
verified: no, type: cosine_ndcg@10
value: 0.36933631896924085
name: Cosine Ndcg@10
verified: no, type: cosine_mrr@10
value: 0.27802380952380945
name: Cosine Mrr@10
verified: no, type: cosine_map@100
value: 0.2903297758489702
name: Cosine Map@100
verified: no, task: type: information-retrieval
name: Information Retrieval
dataset: name: NanoNFCorpus
type: NanoNFCorpus
metrics: type: cosine_accuracy@1
value: 0.32
name: Cosine Accuracy@1
verified: no, type: cosine_accuracy@3
value: 0.42
name: Cosine Accuracy@3
verified: no, type: cosine_accuracy@5
value: 0.44
name: Cosine Accuracy@5
verified: no, type: cosine_accuracy@10
value: 0.48
name: Cosine Accuracy@10
verified: no, type: cosine_precision@1
value: 0.32
name: Cosine Precision@1
verified: no, type: cosine_precision@3
value: 0.22
name: Cosine Precision@3
verified: no, type: cosine_precision@5
value: 0.188
name: Cosine Precision@5
verified: no, type: cosine_precision@10
value: 0.13799999999999998
name: Cosine Precision@10
verified: no, type: cosine_recall@1
value: 0.012173283062756207
name: Cosine Recall@1
verified: no, type: cosine_recall@3
value: 0.02074558886495681
name: Cosine Recall@3
verified: no, type: cosine_recall@5
value: 0.026655271941004092
name: Cosine Recall@5
verified: no, type: cosine_recall@10
value: 0.03744446828268134
name: Cosine Recall@10
verified: no, type: cosine_ndcg@10
value: 0.16981476360614464
name: Cosine Ndcg@10
verified: no, type: cosine_mrr@10
value: 0.3736904761904762
name: Cosine Mrr@10
verified: no, type: cosine_map@100
value: 0.04845896733139879
name: Cosine Map@100
verified: no, task: type: information-retrieval
name: Information Retrieval
dataset: name: NanoNQ
type: NanoNQ
metrics: type: cosine_accuracy@1
value: 0.16
name: Cosine Accuracy@1
verified: no, type: cosine_accuracy@3
value: 0.36
name: Cosine Accuracy@3
verified: no, type: cosine_accuracy@5
value: 0.46
name: Cosine Accuracy@5
verified: no, type: cosine_accuracy@10
value: 0.56
name: Cosine Accuracy@10
verified: no, type: cosine_precision@1
value: 0.16
name: Cosine Precision@1
verified: no, type: cosine_precision@3
value: 0.11999999999999998
name: Cosine Precision@3
verified: no, type: cosine_precision@5
value: 0.09200000000000001
name: Cosine Precision@5
verified: no, type: cosine_precision@10
value: 0.05800000000000001
name: Cosine Precision@10
verified: no, type: cosine_recall@1
value: 0.15
name: Cosine Recall@1
verified: no, type: cosine_recall@3
value: 0.34
name: Cosine Recall@3
verified: no, type: cosine_recall@5
value: 0.43
name: Cosine Recall@5
verified: no, type: cosine_recall@10
value: 0.53
name: Cosine Recall@10
verified: no, type: cosine_ndcg@10
value: 0.33694488555577967
name: Cosine Ndcg@10
verified: no, type: cosine_mrr@10
value: 0.28549206349206346
name: Cosine Mrr@10
verified: no, type: cosine_map@100
value: 0.2889544490538325
name: Cosine Map@100
verified: no, task: type: information-retrieval
name: Information Retrieval
dataset: name: NanoQuoraRetrieval
type: NanoQuoraRetrieval
metrics: type: cosine_accuracy@1
value: 0.82
name: Cosine Accuracy@1
verified: no, type: cosine_accuracy@3
value: 0.9
name: Cosine Accuracy@3
verified: no, type: cosine_accuracy@5
value: 0.92
name: Cosine Accuracy@5
verified: no, type: cosine_accuracy@10
value: 0.96
name: Cosine Accuracy@10
verified: no, type: cosine_precision@1
value: 0.82
name: Cosine Precision@1
verified: no, type: cosine_precision@3
value: 0.3733333333333333
name: Cosine Precision@3
verified: no, type: cosine_precision@5
value: 0.244
name: Cosine Precision@5
verified: no, type: cosine_precision@10
value: 0.13399999999999998
name: Cosine Precision@10
verified: no, type: cosine_recall@1
value: 0.7206666666666667
name: Cosine Recall@1
verified: no, type: cosine_recall@3
value: 0.862
name: Cosine Recall@3
verified: no, type: cosine_recall@5
value: 0.8993333333333333
name: Cosine Recall@5
verified: no, type: cosine_recall@10
value: 0.9566666666666666
name: Cosine Recall@10
verified: no, type: cosine_ndcg@10
value: 0.8834196907213419
name: Cosine Ndcg@10
verified: no, type: cosine_mrr@10
value: 0.8638888888888888
name: Cosine Mrr@10
verified: no, type: cosine_map@100
value: 0.8576174787744555
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: 0.48
name: Cosine Accuracy@3
verified: no, type: cosine_accuracy@5
value: 0.54
name: Cosine Accuracy@5
verified: no, type: cosine_accuracy@10
value: 0.66
name: Cosine Accuracy@10
verified: no, type: cosine_precision@1
value: 0.34
name: Cosine Precision@1
verified: no, type: cosine_precision@3
value: 0.2533333333333333
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: 0.07066666666666668
name: Cosine Recall@1
verified: no, type: cosine_recall@3
value: 0.15766666666666668
name: Cosine Recall@3
verified: no, type: cosine_recall@5
value: 0.22266666666666668
name: Cosine Recall@5
verified: no, type: cosine_recall@10
value: 0.30566666666666664
name: Cosine Recall@10
verified: no, type: cosine_ndcg@10
value: 0.2911964961614548
name: Cosine Ndcg@10
verified: no, type: cosine_mrr@10
value: 0.4294920634920634
name: Cosine Mrr@10
verified: no, type: cosine_map@100
value: 0.23186478719609563
name: Cosine Map@100
verified: no, task: type: information-retrieval
name: Information Retrieval
dataset: name: NanoArguAna
type: NanoArguAna
metrics: type: cosine_accuracy@1
value: 0.18
name: Cosine Accuracy@1
verified: no, type: cosine_accuracy@3
value: 0.54
name: Cosine Accuracy@3
verified: no, type: cosine_accuracy@5
value: 0.62
name: Cosine Accuracy@5
verified: no, type: cosine_accuracy@10
value: 0.84
name: Cosine Accuracy@10
verified: no, type: cosine_precision@1
value: 0.18
name: Cosine Precision@1
verified: no, type: cosine_precision@3
value: 0.18
name: Cosine Precision@3
verified: no, type: cosine_precision@5
value: 0.124
name: Cosine Precision@5
verified: no, type: cosine_precision@10
value: 0.08399999999999999
name: Cosine Precision@10
verified: no, type: cosine_recall@1
value: 0.18
name: Cosine Recall@1
verified: no, type: cosine_recall@3
value: 0.54
name: Cosine Recall@3
verified: no, type: cosine_recall@5
value: 0.62
name: Cosine Recall@5
verified: no, type: cosine_recall@10
value: 0.84
name: Cosine Recall@10
verified: no, type: cosine_ndcg@10
value: 0.49499964917078587
name: Cosine Ndcg@10
verified: no, type: cosine_mrr@10
value: 0.3864126984126984
name: Cosine Mrr@10
verified: no, type: cosine_map@100
value: 0.3939847733965381
name: Cosine Map@100
verified: no, task: type: information-retrieval
name: Information Retrieval
dataset: name: NanoSciFact
type: NanoSciFact
metrics: type: cosine_accuracy@1
value: 0.36
name: Cosine Accuracy@1
verified: no, type: cosine_accuracy@3
value: 0.46
name: Cosine Accuracy@3
verified: no, type: cosine_accuracy@5
value: 0.48
name: Cosine Accuracy@5
verified: no, type: cosine_accuracy@10
value: 0.6
name: Cosine Accuracy@10
verified: no, type: cosine_precision@1
value: 0.36
name: Cosine Precision@1
verified: no, type: cosine_precision@3
value: 0.16666666666666663
name: Cosine Precision@3
verified: no, type: cosine_precision@5
value: 0.10400000000000001
name: Cosine Precision@5
verified: no, type: cosine_precision@10
value: 0.066
name: Cosine Precision@10
verified: no, type: cosine_recall@1
value: 0.325
name: Cosine Recall@1
verified: no, type: cosine_recall@3
value: 0.44
name: Cosine Recall@3
verified: no, type: cosine_recall@5
value: 0.46
name: Cosine Recall@5
verified: no, type: cosine_recall@10
value: 0.585
name: Cosine Recall@10
verified: no, type: cosine_ndcg@10
value: 0.45625099735000324
name: Cosine Ndcg@10
verified: no, type: cosine_mrr@10
value: 0.4282142857142857
name: Cosine Mrr@10
verified: no, type: cosine_map@100
value: 0.42683234725999136
name: Cosine Map@100
verified: no, task: type: information-retrieval
name: Information Retrieval
dataset: name: NanoTouche2020
type: NanoTouche2020
metrics: type: cosine_accuracy@1
value: 0.5306122448979592
name: Cosine Accuracy@1
verified: no, type: cosine_accuracy@3
value: 0.7346938775510204
name: Cosine Accuracy@3
verified: no, type: cosine_accuracy@5
value: 0.8367346938775511
name: Cosine Accuracy@5
verified: no, type: cosine_accuracy@10
value: 0.9591836734693877
name: Cosine Accuracy@10
verified: no, type: cosine_precision@1
value: 0.5306122448979592
name: Cosine Precision@1
verified: no, type: cosine_precision@3
value: 0.45578231292517
name: Cosine Precision@3
verified: no, type: cosine_precision@5
value: 0.4081632653061224
name: Cosine Precision@5
verified: no, type: cosine_precision@10
value: 0.3489795918367347
name: Cosine Precision@10
verified: no, type: cosine_recall@1
value: 0.03881638827876476
name: Cosine Recall@1
verified: no, type: cosine_recall@3
value: 0.10112189874472176
name: Cosine Recall@3
verified: no, type: cosine_recall@5
value: 0.14360203271733188
name: Cosine Recall@5
verified: no, type: cosine_recall@10
value: 0.2368499712298808
name: Cosine Recall@10
verified: no, type: cosine_ndcg@10
value: 0.402135622609889
name: Cosine Ndcg@10
verified: no, type: cosine_mrr@10
value: 0.6536767087787496
name: Cosine Mrr@10
verified: no, type: cosine_map@100
value: 0.3149629356234365
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: 0.3438932496075353
name: Cosine Accuracy@1
verified: no, type: cosine_accuracy@3
value: 0.5349764521193093
name: Cosine Accuracy@3
verified: no, type: cosine_accuracy@5
value: 0.601287284144427
name: Cosine Accuracy@5
verified: no, type: cosine_accuracy@10
value: 0.7122448979591838
name: Cosine Accuracy@10
verified: no, type: cosine_precision@1
value: 0.3438932496075353
name: Cosine Precision@1
verified: no, type: cosine_precision@3
value: 0.23454735740450025
name: Cosine Precision@3
verified: no, type: cosine_precision@5
value: 0.18432025117739403
name: Cosine Precision@5
verified: no, type: cosine_precision@10
value: 0.13407535321821037
name: Cosine Precision@10
verified: no, type: cosine_recall@1
value: 0.1857996738150283
name: Cosine Recall@1
verified: no, type: cosine_recall@3
value: 0.3257986999260677
name: Cosine Recall@3
verified: no, type: cosine_recall@5
value: 0.3834060473445738
name: Cosine Recall@5
verified: no, type: cosine_recall@10
value: 0.4845429447487502
name: Cosine Recall@10
verified: no, type: cosine_ndcg@10
value: 0.4080885419953074
name: Cosine Ndcg@10
verified: no, type: cosine_mrr@10
value: 0.45728587625526396
name: Cosine Mrr@10
verified: no, type: cosine_map@100
value: 0.338574066485567
name: Cosine Map@100
verified: no
Likes: 0 | All-time downloads: 46
Created: 2025-03-19 14:43:08