Model: kokojake/modernbert-embed-base-fitness-health-matryoshka-8-epochs-25k
Author: kokojake
Pipeline: sentence-similarity
Library: sentence-transformers
Tags: sentence-transformers, safetensors, modernbert, sentence-similarity, feature-extraction, generated_from_trainer, dataset_size:20792, loss:MatryoshkaLoss, loss:MultipleNegativesRankingLoss, en, arxiv:1908.10084, arxiv:2205.13147, arxiv:1705.00652, base_model:kokojake/modernbert-embed-base-fitness-health-matryoshka-8-epochs, base_model:finetune:kokojake/modernbert-embed-base-fitness-health-matryoshka-8-epochs, license:apache-2.0, model-index, text-embeddings-inference, endpoints_compatible, region:us
Base models (finetune): id: kokojake/modernbert-embed-base-fitness-health-matryoshka-8-epochs
Card metadata: language: en
license: apache-2.0
tags: sentence-transformers, sentence-similarity, feature-extraction, generated_from_trainer, dataset_size:20792, loss:MatryoshkaLoss, loss:MultipleNegativesRankingLoss
base_model: kokojake/modernbert-embed-base-fitness-health-matryoshka-8-epochs
widget: source_sentence: Mella is a very lively little girl of 18 months, she was born with cerebral palsy and requires 
constant care and attention. Her mother spends nearly every waking moment with her 
helping her to develop and interact. “I can’t work because I have to be with my daughter all the time, she cannot be left alone,” 
she explained. In June 2014, after having carried out a series of costly tests to find a solution to her daughter’s disability, Mella’s mother found her way to the centre run by Healing Hand, one of Handicap International’s partners. Handicap International’s team provided Mella with an adapted chair so she would no longer live constantly lying down on the floor, but would be able to sit up encouraging her to interact with the people and things around her. They also trained the mother to use games and routine activities to help Mella learn and develop. A community worker is regularly visiting the family to check on the child and the family, and identify potential needs for referral (assistive devices, pain…).
CASE STUDY: CEREBRAL PALSY IN HAITI 
Prevention
sentences: Sipilä and Suominen 1995 exercise physiology research, cerebral palsy dietary needs for toddlers, Rehabilitation Services Unit framework and theoretical underpinnings, source_sentence: that education is typically provided as part 
of a broader package of care for people 
with CPLBP and not as a stand-alone, single 
intervention delivered in isolation. The GDG noted that a proportion of older people 
who live with CPLBP might also experience 
varying levels of intrinsic capacity such as 
cognitive decline, hearing loss or visual impairment, which in some cases could limit 
a person’s understanding of, or engagement 
in, education interventions. A person’s 
intrinsic capacity ought to be considered 
and accommodated when prescribing and/ or delivering structured and standardized 
education (refer to WHO integrated care for 
older people approach).
The GDG noted the heterogeneity in the 
education topics included in the trials (Table 6), making it difficult to judge which 
topics are most effective, for whom and 
when. The GDG referred to Clinical practice 
consideration 2 about important messages concerning CPLBP and referred to indirect 
evidence about empirically derived education 
messages that were deemed to be important 
for people with LBP, including the following topics: staying active, identifying rare, serious 
causes of low back pain, reassurance (e.g. 
“hurt does not necessarily mean harm”), 
unnecessary interventions, and principles of management and disease knowledge (88). 
Finally, the GDG acknowledged the risk for 
harm (such as dependence and adoption 
of unhelpful beliefs and behaviours) in 
circumstances where health workers deliver
sentences: clinical trials on protein supplementation and muscle synthesis in sedentary adults, health equity and resource considerations for local anaesthetic injections, education interventions for chronic low back pain (CPLBP) in older adults, source_sentence: between-group differences in interventions for outcomes 
of muscle mass, muscle strength and physical perfor-
mance. When more than 2 studies provided data on the 
same outcome, these data were quantitatively pooled. The data are uniformly represented by the mean and stand-
ard deviation. The qualitative synthesis was conducted 
via RevMan5.4 software, with the mean difference (MD) serving as the effect indicator, and point estimates and 
95% confidence intervals (CIs) were provided. Heteroge- neity among studies was assessed via the ­X2 test (a= 0.1), 
and the ­I2 statistic was used for quantitative evaluation. ­I2 values were categorized as low (< 25%), moderate (50%), 
or high (≥ 75%) heterogeneity. The data were analysed 
via the fixed-effects model and inverse variance method when ­I2< 50%. Otherwise, the random-effects model 
and DS-L method were employed. When there were 
insufficient data for meta-analysis, a narrative synthesis method was employed, utilizing the reported P values or 
95% CIs to evaluate the effectiveness of the intervention. 
We performed subgroup analysis to carry out further 
studies when significant heterogeneity existed. We will conduct sensitivity analysis in cases such as the presence 
of moderate heterogeneity among studies ­(I2 is close to 
50%, with a P value slightly greater than 0.05) or when the
sentences: fair and affordable access in healthcare projects, mean difference and confidence intervals in muscle-related outcomes, methods for evaluating sexual reproductive functions in males and females, source_sentence: 9. Poehlman ET, Toth MJ, Gardner AW. Changes in energy balance and body
composition at menopause: a controlled longitudinal study. Ann Internal Med (1995) 123(9):673–5. doi: 10.7326/0003-4819-123-9-199511010-00005 10. Abildgaard J, Ploug T, Al-Saoudi E, Wagner T, Thomsen C, Ewertsen C, et al.
Changes in abdominal subcutaneous adipose tissue phenotype following menopause is associated with increased visceral fat mass. Sci Rep (2021) 11(1):1–12. doi: 10.1038/
s41598-021-94189-2 11. Abildgaard J, Danielsen ER, Dorph E, Thomsen C, Juul A, Ewertsen C, et al.
Ectopic lipid deposition is associated with insulin resistance in postmenopausal women. J Clin Endocrinol Metab (2018) 103(9):3394–404. doi: 10.1210/jc.2018-00554 12. Kozakowski J, Gietka-Czernel M, Leszczyńska D, Majos A. Obesity in menopause - our negligence or an unfortunate inevitability? Prz Menopauzalny
(2017) 16(2):61–5. doi: 10.5114/pm.2017.68594
sentences: dietary patterns to prevent postpartum depression, supracondylar humerus fracture rehabilitation protocol, abdominal subcutaneous adipose tissue phenotype postmenopause, source_sentence: Low back pain is 
the leading cause of 
disability globally across 
all ages and in both 
sexes, representing 8% 
of all YLDs in 2020 (10).
sentences: BMI calculation in postpartum studies, prevalence of low back pain by age and sex, nutritional training methods for specific goals
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
model-index: name: ModernBERT Embed base fitness health Matryoshka
results: task: type: information-retrieval
name: Information Retrieval
dataset: name: dim 768
type: dim_768
metrics: type: cosine_accuracy@1
value: 0.5400259627866725
name: Cosine Accuracy@1
verified: no, type: cosine_accuracy@3
value: 0.5434876676763306
name: Cosine Accuracy@3
verified: no, type: cosine_accuracy@5
value: 0.5573344872349633
name: Cosine Accuracy@5
verified: no, type: cosine_accuracy@10
value: 0.6334919948074427
name: Cosine Accuracy@10
verified: no, type: cosine_precision@1
value: 0.5400259627866725
name: Cosine Precision@1
verified: no, type: cosine_precision@3
value: 0.5398817250829367
name: Cosine Precision@3
verified: no, type: cosine_precision@5
value: 0.5347468628299439
name: Cosine Precision@5
verified: no, type: cosine_precision@10
value: 0.46326265685850276
name: Cosine Precision@10
verified: no, type: cosine_recall@1
value: 0.03745007338477892
name: Cosine Recall@1
verified: no, type: cosine_recall@3
value: 0.11214251942197137
name: Cosine Recall@3
verified: no, type: cosine_recall@5
value: 0.1837406633838978
name: Cosine Recall@5
verified: no, type: cosine_recall@10
value: 0.3070393437209566
name: Cosine Recall@10
verified: no, type: cosine_ndcg@10
value: 0.48943711186284466
name: Cosine Ndcg@10
verified: no, type: cosine_mrr@10
value: 0.5541616011758802
name: Cosine Mrr@10
verified: no, type: cosine_map@100
value: 0.3352501004415828
name: Cosine Map@100
verified: no, task: type: information-retrieval
name: Information Retrieval
dataset: name: dim 512
type: dim_512
metrics: type: cosine_accuracy@1
value: 0.5261791432280398
name: Cosine Accuracy@1
verified: no, type: cosine_accuracy@3
value: 0.5292081350064907
name: Cosine Accuracy@3
verified: no, type: cosine_accuracy@5
value: 0.5417568152315015
name: Cosine Accuracy@5
verified: no, type: cosine_accuracy@10
value: 0.6248377325832972
name: Cosine Accuracy@10
verified: no, type: cosine_precision@1
value: 0.5261791432280398
name: Cosine Precision@1
verified: no, type: cosine_precision@3
value: 0.5258906678205683
name: Cosine Precision@3
verified: no, type: cosine_precision@5
value: 0.5200346170488966
name: Cosine Precision@5
verified: no, type: cosine_precision@10
value: 0.45149286023366514
name: Cosine Precision@10
verified: no, type: cosine_recall@1
value: 0.03664641826769081
name: Cosine Recall@1
verified: no, type: cosine_recall@3
value: 0.10968075004492067
name: Cosine Recall@3
verified: no, type: cosine_recall@5
value: 0.17931535390654552
name: Cosine Recall@5
verified: no, type: cosine_recall@10
value: 0.3001499353847894
name: Cosine Recall@10
verified: no, type: cosine_ndcg@10
value: 0.47692810112088685
name: Cosine Ndcg@10
verified: no, type: cosine_mrr@10
value: 0.5405383500580383
name: Cosine Mrr@10
verified: no, type: cosine_map@100
value: 0.32998767591460865
name: Cosine Map@100
verified: no, task: type: information-retrieval
name: Information Retrieval
dataset: name: dim 256
type: dim_256
metrics: type: cosine_accuracy@1
value: 0.524881003894418
name: Cosine Accuracy@1
verified: no, type: cosine_accuracy@3
value: 0.5283427087840762
name: Cosine Accuracy@3
verified: no, type: cosine_accuracy@5
value: 0.5382951103418434
name: Cosine Accuracy@5
verified: no, type: cosine_accuracy@10
value: 0.6248377325832972
name: Cosine Accuracy@10
verified: no, type: cosine_precision@1
value: 0.524881003894418
name: Cosine Precision@1
verified: no, type: cosine_precision@3
value: 0.5247367661906822
name: Cosine Precision@3
verified: no, type: cosine_precision@5
value: 0.5186499350930333
name: Cosine Precision@5
verified: no, type: cosine_precision@10
value: 0.45201211596711377
name: Cosine Precision@10
verified: no, type: cosine_recall@1
value: 0.036501037886012895
name: Cosine Recall@1
verified: no, type: cosine_recall@3
value: 0.10928788021100766
name: Cosine Recall@3
verified: no, type: cosine_recall@5
value: 0.17855814477724194
name: Cosine Recall@5
verified: no, type: cosine_recall@10
value: 0.3002995716266344
name: Cosine Recall@10
verified: no, type: cosine_ndcg@10
value: 0.4767686885498719
name: Cosine Ndcg@10
verified: no, type: cosine_mrr@10
value: 0.5393372277513339
name: Cosine Mrr@10
verified: no, type: cosine_map@100
value: 0.3290894032339354
name: Cosine Map@100
verified: no, task: type: information-retrieval
name: Information Retrieval
dataset: name: dim 128
type: dim_128
metrics: type: cosine_accuracy@1
value: 0.4963219385547382
name: Cosine Accuracy@1
verified: no, type: cosine_accuracy@3
value: 0.4989182172219818
name: Cosine Accuracy@3
verified: no, type: cosine_accuracy@5
value: 0.5054089138900909
name: Cosine Accuracy@5
verified: no, type: cosine_accuracy@10
value: 0.5789701427953267
name: Cosine Accuracy@10
verified: no, type: cosine_precision@1
value: 0.4963219385547382
name: Cosine Precision@1
verified: no, type: cosine_precision@3
value: 0.4958892254435309
name: Cosine Precision@3
verified: no, type: cosine_precision@5
value: 0.48861964517524875
name: Cosine Precision@5
verified: no, type: cosine_precision@10
value: 0.422501081782778
name: Cosine Precision@10
verified: no, type: cosine_recall@1
value: 0.03443918728908205
name: Cosine Recall@1
verified: no, type: cosine_recall@3
value: 0.10304823928131424
name: Cosine Recall@3
verified: no, type: cosine_recall@5
value: 0.1678042009000388
name: Cosine Recall@5
verified: no, type: cosine_recall@10
value: 0.2804756426111689
name: Cosine Recall@10
verified: no, type: cosine_ndcg@10
value: 0.44736732746633984
name: Cosine Ndcg@10
verified: no, type: cosine_mrr@10
value: 0.5080900180640548
name: Cosine Mrr@10
verified: no, type: cosine_map@100
value: 0.3124279754939892
name: Cosine Map@100
verified: no, task: type: information-retrieval
name: Information Retrieval
dataset: name: dim 64
type: dim_64
metrics: type: cosine_accuracy@1
value: 0.4214625703158806
name: Cosine Accuracy@1
verified: no, type: cosine_accuracy@3
value: 0.42362613587191694
name: Cosine Accuracy@3
verified: no, type: cosine_accuracy@5
value: 0.43487667676330594
name: Cosine Accuracy@5
verified: no, type: cosine_accuracy@10
value: 0.5144958892254435
name: Cosine Accuracy@10
verified: no, type: cosine_precision@1
value: 0.4214625703158806
name: Cosine Precision@1
verified: no, type: cosine_precision@3
value: 0.42088561950093756
name: Cosine Precision@3
verified: no, type: cosine_precision@5
value: 0.4161834703591519
name: Cosine Precision@5
verified: no, type: cosine_precision@10
value: 0.37105149286023364
name: Cosine Precision@10
verified: no, type: cosine_recall@1
value: 0.02913122472423259
name: Cosine Recall@1
verified: no, type: cosine_recall@3
value: 0.08711625855019343
name: Cosine Recall@3
verified: no, type: cosine_recall@5
value: 0.14224713032842948
name: Cosine Recall@5
verified: no, type: cosine_recall@10
value: 0.24582396134886714
name: Cosine Recall@10
verified: no, type: cosine_ndcg@10
value: 0.3886075557527232
name: Cosine Ndcg@10
verified: no, type: cosine_mrr@10
value: 0.43527951206445353
name: Cosine Mrr@10
verified: no, type: cosine_map@100
value: 0.27582860083117783
name: Cosine Map@100
verified: no
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Created: 2025-04-11 04:24:26