Model: tomaarsen/mpnet-base-nq-cgist-triplet-neg-gte
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: 40.54325678627484
energy_consumed: 0.10430421450436282
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: 0.301
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: 0.52
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: 0.12
name: Cosine Precision@5
verified: no, type: cosine_precision@10
value: 0.09399999999999999
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: 0.2333333333333333
name: Cosine Recall@5
verified: no, type: cosine_recall@10
value: 0.37233333333333335
name: Cosine Recall@10
verified: no, type: cosine_ndcg@10
value: 0.2744024872493329
name: Cosine Ndcg@10
verified: no, type: cosine_mrr@10
value: 0.3594365079365079
name: Cosine Mrr@10
verified: no, type: cosine_map@100
value: 0.20181676147957636
name: Cosine Map@100
verified: no, task: type: information-retrieval
name: Information Retrieval
dataset: name: NanoDBPedia
type: NanoDBPedia
metrics: type: cosine_accuracy@1
value: 0.46
name: Cosine Accuracy@1
verified: no, type: cosine_accuracy@3
value: 0.62
name: Cosine Accuracy@3
verified: no, type: cosine_accuracy@5
value: 0.76
name: Cosine Accuracy@5
verified: no, type: cosine_accuracy@10
value: 0.82
name: Cosine Accuracy@10
verified: no, type: cosine_precision@1
value: 0.46
name: Cosine Precision@1
verified: no, type: cosine_precision@3
value: 0.38666666666666666
name: Cosine Precision@3
verified: no, type: cosine_precision@5
value: 0.38799999999999996
name: Cosine Precision@5
verified: no, type: cosine_precision@10
value: 0.344
name: Cosine Precision@10
verified: no, type: cosine_recall@1
value: 0.03065300183409328
name: Cosine Recall@1
verified: no, type: cosine_recall@3
value: 0.07730098142643593
name: Cosine Recall@3
verified: no, type: cosine_recall@5
value: 0.14588470319900892
name: Cosine Recall@5
verified: no, type: cosine_recall@10
value: 0.22159653924772912
name: Cosine Recall@10
verified: no, type: cosine_ndcg@10
value: 0.3920743245484332
name: Cosine Ndcg@10
verified: no, type: cosine_mrr@10
value: 0.567
name: Cosine Mrr@10
verified: no, type: cosine_map@100
value: 0.28153419189397744
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: 0.5156585003907987
name: Cosine Ndcg@10
verified: no, type: cosine_mrr@10
value: 0.4756666666666666
name: Cosine Mrr@10
verified: no, type: cosine_map@100
value: 0.47620972127897226
name: Cosine Map@100
verified: no, task: type: information-retrieval
name: Information Retrieval
dataset: name: NanoFiQA2018
type: NanoFiQA2018
metrics: type: cosine_accuracy@1
value: 0.28
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: 0.28
name: Cosine Precision@1
verified: no, type: cosine_precision@3
value: 0.22
name: Cosine Precision@3
verified: no, type: cosine_precision@5
value: 0.16399999999999998
name: Cosine Precision@5
verified: no, type: cosine_precision@10
value: 0.09799999999999999
name: Cosine Precision@10
verified: no, type: cosine_recall@1
value: 0.1371904761904762
name: Cosine Recall@1
verified: no, type: cosine_recall@3
value: 0.3226904761904762
name: Cosine Recall@3
verified: no, type: cosine_recall@5
value: 0.3682142857142857
name: Cosine Recall@5
verified: no, type: cosine_recall@10
value: 0.43073809523809525
name: Cosine Recall@10
verified: no, type: cosine_ndcg@10
value: 0.3420135901424927
name: Cosine Ndcg@10
verified: no, type: cosine_mrr@10
value: 0.38405555555555554
name: Cosine Mrr@10
verified: no, type: cosine_map@100
value: 0.2826394452885763
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: 0.52
name: Cosine Accuracy@3
verified: no, type: cosine_accuracy@5
value: 0.62
name: Cosine Accuracy@5
verified: no, type: cosine_accuracy@10
value: 0.72
name: Cosine Accuracy@10
verified: no, type: cosine_precision@1
value: 0.34
name: Cosine Precision@1
verified: no, type: cosine_precision@3
value: 0.19333333333333333
name: Cosine Precision@3
verified: no, type: cosine_precision@5
value: 0.14400000000000002
name: Cosine Precision@5
verified: no, type: cosine_precision@10
value: 0.09200000000000001
name: Cosine Precision@10
verified: no, type: cosine_recall@1
value: 0.17
name: Cosine Recall@1
verified: no, type: cosine_recall@3
value: 0.29
name: Cosine Recall@3
verified: no, type: cosine_recall@5
value: 0.36
name: Cosine Recall@5
verified: no, type: cosine_recall@10
value: 0.46
name: Cosine Recall@10
verified: no, type: cosine_ndcg@10
value: 0.3723049657456267
name: Cosine Ndcg@10
verified: no, type: cosine_mrr@10
value: 0.4570793650793651
name: Cosine Mrr@10
verified: no, type: cosine_map@100
value: 0.2995175868330484
name: Cosine Map@100
verified: no, task: type: information-retrieval
name: Information Retrieval
dataset: name: NanoMSMARCO
type: NanoMSMARCO
metrics: type: cosine_accuracy@1
value: 0.1
name: Cosine Accuracy@1
verified: no, type: cosine_accuracy@3
value: 0.28
name: Cosine Accuracy@3
verified: no, type: cosine_accuracy@5
value: 0.52
name: Cosine Accuracy@5
verified: no, type: cosine_accuracy@10
value: 0.68
name: Cosine Accuracy@10
verified: no, type: cosine_precision@1
value: 0.1
name: Cosine Precision@1
verified: no, type: cosine_precision@3
value: 0.09333333333333332
name: Cosine Precision@3
verified: no, type: cosine_precision@5
value: 0.10400000000000001
name: Cosine Precision@5
verified: no, type: cosine_precision@10
value: 0.068
name: Cosine Precision@10
verified: no, type: cosine_recall@1
value: 0.1
name: Cosine Recall@1
verified: no, type: cosine_recall@3
value: 0.28
name: Cosine Recall@3
verified: no, type: cosine_recall@5
value: 0.52
name: Cosine Recall@5
verified: no, type: cosine_recall@10
value: 0.68
name: Cosine Recall@10
verified: no, type: cosine_ndcg@10
value: 0.36083481845261806
name: Cosine Ndcg@10
verified: no, type: cosine_mrr@10
value: 0.26157142857142857
name: Cosine Mrr@10
verified: no, type: cosine_map@100
value: 0.27215692684924997
name: Cosine Map@100
verified: no, task: type: information-retrieval
name: Information Retrieval
dataset: name: NanoNFCorpus
type: NanoNFCorpus
metrics: type: cosine_accuracy@1
value: 0.26
name: Cosine Accuracy@1
verified: no, type: cosine_accuracy@3
value: 0.38
name: Cosine Accuracy@3
verified: no, type: cosine_accuracy@5
value: 0.44
name: Cosine Accuracy@5
verified: no, type: cosine_accuracy@10
value: 0.5
name: Cosine Accuracy@10
verified: no, type: cosine_precision@1
value: 0.26
name: Cosine Precision@1
verified: no, type: cosine_precision@3
value: 0.21333333333333332
name: Cosine Precision@3
verified: no, type: cosine_precision@5
value: 0.19599999999999998
name: Cosine Precision@5
verified: no, type: cosine_precision@10
value: 0.13799999999999998
name: Cosine Precision@10
verified: no, type: cosine_recall@1
value: 0.01122167476431692
name: Cosine Recall@1
verified: no, type: cosine_recall@3
value: 0.02047531859468654
name: Cosine Recall@3
verified: no, type: cosine_recall@5
value: 0.03079316493603994
name: Cosine Recall@5
verified: no, type: cosine_recall@10
value: 0.0422192068561938
name: Cosine Recall@10
verified: no, type: cosine_ndcg@10
value: 0.1654539374427929
name: Cosine Ndcg@10
verified: no, type: cosine_mrr@10
value: 0.3367460317460317
name: Cosine Mrr@10
verified: no, type: cosine_map@100
value: 0.04901233559063261
name: Cosine Map@100
verified: no, task: type: information-retrieval
name: Information Retrieval
dataset: name: NanoNQ
type: NanoNQ
metrics: type: cosine_accuracy@1
value: 0.14
name: Cosine Accuracy@1
verified: no, type: cosine_accuracy@3
value: 0.36
name: Cosine Accuracy@3
verified: no, type: cosine_accuracy@5
value: 0.44
name: Cosine Accuracy@5
verified: no, type: cosine_accuracy@10
value: 0.58
name: Cosine Accuracy@10
verified: no, type: cosine_precision@1
value: 0.14
name: Cosine Precision@1
verified: no, type: cosine_precision@3
value: 0.11999999999999998
name: Cosine Precision@3
verified: no, type: cosine_precision@5
value: 0.08800000000000002
name: Cosine Precision@5
verified: no, type: cosine_precision@10
value: 0.06000000000000001
name: Cosine Precision@10
verified: no, type: cosine_recall@1
value: 0.13
name: Cosine Recall@1
verified: no, type: cosine_recall@3
value: 0.34
name: Cosine Recall@3
verified: no, type: cosine_recall@5
value: 0.41
name: Cosine Recall@5
verified: no, type: cosine_recall@10
value: 0.55
name: Cosine Recall@10
verified: no, type: cosine_ndcg@10
value: 0.33223439819785083
name: Cosine Ndcg@10
verified: no, type: cosine_mrr@10
value: 0.2734365079365079
name: Cosine Mrr@10
verified: no, type: cosine_map@100
value: 0.2764557370904448
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: 0.3666666666666666
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: 0.8553333333333333
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: 0.8807317086981499
name: Cosine Ndcg@10
verified: no, type: cosine_mrr@10
value: 0.8616666666666666
name: Cosine Mrr@10
verified: no, type: cosine_map@100
value: 0.8525831566094724
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: 0.24666666666666667
name: Cosine Precision@3
verified: no, type: cosine_precision@5
value: 0.212
name: Cosine Precision@5
verified: no, type: cosine_precision@10
value: 0.14800000000000002
name: Cosine Precision@10
verified: no, type: cosine_recall@1
value: 0.07066666666666668
name: Cosine Recall@1
verified: no, type: cosine_recall@3
value: 0.15366666666666667
name: Cosine Recall@3
verified: no, type: cosine_recall@5
value: 0.21866666666666668
name: Cosine Recall@5
verified: no, type: cosine_recall@10
value: 0.30466666666666664
name: Cosine Recall@10
verified: no, type: cosine_ndcg@10
value: 0.28968259227673265
name: Cosine Ndcg@10
verified: no, type: cosine_mrr@10
value: 0.4286349206349206
name: Cosine Mrr@10
verified: no, type: cosine_map@100
value: 0.22985309744949503
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: 0.56
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: 0.18666666666666668
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: 0.56
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: 0.49726259302609505
name: Cosine Ndcg@10
verified: no, type: cosine_mrr@10
value: 0.389079365079365
name: Cosine Mrr@10
verified: no, type: cosine_map@100
value: 0.3967117258845785
name: Cosine Map@100
verified: no, task: type: information-retrieval
name: Information Retrieval
dataset: name: NanoSciFact
type: NanoSciFact
metrics: type: cosine_accuracy@1
value: 0.38
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: 0.62
name: Cosine Accuracy@10
verified: no, type: cosine_precision@1
value: 0.38
name: Cosine Precision@1
verified: no, type: cosine_precision@3
value: 0.16666666666666663
name: Cosine Precision@3
verified: no, type: cosine_precision@5
value: 0.10400000000000001
name: Cosine Precision@5
verified: no, type: cosine_precision@10
value: 0.068
name: Cosine Precision@10
verified: no, type: cosine_recall@1
value: 0.345
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: 0.605
name: Cosine Recall@10
verified: no, type: cosine_ndcg@10
value: 0.47012843706683605
name: Cosine Ndcg@10
verified: no, type: cosine_mrr@10
value: 0.4409285714285714
name: Cosine Mrr@10
verified: no, type: cosine_map@100
value: 0.43840522432574647
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: 0.7551020408163265
name: Cosine Accuracy@3
verified: no, type: cosine_accuracy@5
value: 0.8571428571428571
name: Cosine Accuracy@5
verified: no, type: cosine_accuracy@10
value: 0.9387755102040817
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: 0.4040816326530612
name: Cosine Precision@5
verified: no, type: cosine_precision@10
value: 0.336734693877551
name: Cosine Precision@10
verified: no, type: cosine_recall@1
value: 0.03881638827876476
name: Cosine Recall@1
verified: no, type: cosine_recall@3
value: 0.10008002766114979
name: Cosine Recall@3
verified: no, type: cosine_recall@5
value: 0.13975964122053652
name: Cosine Recall@5
verified: no, type: cosine_recall@10
value: 0.22966349775526734
name: Cosine Recall@10
verified: no, type: cosine_ndcg@10
value: 0.39339080810676896
name: Cosine Ndcg@10
verified: no, type: cosine_mrr@10
value: 0.6553206997084549
name: Cosine Mrr@10
verified: no, type: cosine_map@100
value: 0.31344772891929434
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: 0.3408163265306122
name: Cosine Accuracy@1
verified: no, type: cosine_accuracy@3
value: 0.5227001569858712
name: Cosine Accuracy@3
verified: no, type: cosine_accuracy@5
value: 0.6013186813186814
name: Cosine Accuracy@5
verified: no, type: cosine_accuracy@10
value: 0.7152904238618524
name: Cosine Accuracy@10
verified: no, type: cosine_precision@1
value: 0.3408163265306122
name: Cosine Precision@1
verified: no, type: cosine_precision@3
value: 0.23044479330193612
name: Cosine Precision@3
verified: no, type: cosine_precision@5
value: 0.1855447409733124
name: Cosine Precision@5
verified: no, type: cosine_precision@10
value: 0.13344113029827318
name: Cosine Precision@10
verified: no, type: cosine_recall@1
value: 0.18442678521033212
name: Cosine Recall@1
verified: no, type: cosine_recall@3
value: 0.31958052337482684
name: Cosine Recall@3
verified: no, type: cosine_recall@5
value: 0.3827680868002465
name: Cosine Recall@5
verified: no, type: cosine_recall@10
value: 0.4886833850587655
name: Cosine Recall@10
verified: no, type: cosine_ndcg@10
value: 0.4066287047188099
name: Cosine Ndcg@10
verified: no, type: cosine_mrr@10
value: 0.4531247913084647
name: Cosine Mrr@10
verified: no, type: cosine_map@100
value: 0.33618027996100497
name: Cosine Map@100
verified: no
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Created: 2024-11-20 15:04:01