Instructions to use nicher92/mpnet-base-v2-pharma-finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use nicher92/mpnet-base-v2-pharma-finetuned with sentence-transformers:

from sentence_transformers import SentenceTransformer

model = SentenceTransformer("nicher92/mpnet-base-v2-pharma-finetuned")

sentences = [
"What effect does montelukast have on eosinophils in the blood?",
"Prostaglandins and Leukotrienes\nThe eicosanoids are a group of substances derived from phospholipids. These substances are found in animals and plants where they display a wide variety of biological activities. In humans, they are available in all tissues of the body and are often formed de novo. The student should reflect on the pathogenesis and pharmacotherapy of many diseases – pain and inflammation, spontaneous abortion, asthma, peptic ulcer, thrombosis etc. Indeed knowledge of the eicosanoids has revolutionized the pharmacotherapy of pain and inflammation. The mechanisms of action of NSAIDs and glucocorticoids cannot be fully discussed without mention of their effects on eicosanoid biosynthesis. The term eicosanoids as used in this lecture refers to prostagladins, thromboxanes, leukotrienes and lipoxins all of which are derived from arachidonic acid (eicosatetraenoic acid). The term, prostanoids encompasses both prostaglandins and thromboxanes both of which have the same synthetic origin.\nThe precursor of the eicosanoids is arachidonic acid (5,8,11,14-eicosatetraenoic acid), a 20-carbon unsaturated fatty acid that is found in esterified form in phospholipids and glycerides of cell membranes. Phospholipids exist as: phosphatidylcholine, phosphatidylinositol, phosphatidylethanolamine, phosphatidylserine and diacylglycerol. Liberation of arachidonic acid (AA) from phospholipids may involve one or two steps. One-step process involves phospholipase A2 (PLA2) but the two-step process involves first phospholipase C (PLC) and diacylglycerol (DAG) lipase (or phospholipase D), and then finally PLA2. There are at least two forms of PLA2 – cytosolic and extracellular but the former is by far more important from the point of view of inflammation and is Ca2+-dependent. Certain factors which include antigen-antibody reactions, cell damage as well as thrombin in platelets, C5a in neutrophils and bradykinin in fibroblasts all trigger the release of AA. Arachidonic acid is metabolized through the cyclooxygenase pathway to form prostaglandins and thromboxanes or through the lipoxygenase pathways to form leukotrienes, the lipoxins and other compounds (Fig 2, page 6).\nThe Prostanoids These are formed by the action of cyclooxygenase [(COX) which may also be referred to as prostaglandin endoperoxide synthase] on AA. There are two forms of COX: COX-1 which is constitutive and is found in most cells. The action of COX-1 may involve normal homeostasis (e.g. actions on vascular responses as well as gastric cytoprotection). COX-2 is more pertinent to inflammation and is induced following an inflammatory stimulus. The enzyme converts AA to unstable PGG2 first and then PGH2 both of which are called cyclic endoperoxides. PGH2 is the immediate precursor of other prostanoids and the eventual product depends on the cell: TXA2 in platelets, PGE2 in macrophages, PGD2 in mast cells, PGI2 in vascular endothelium and the GIT. The term “prostaglandin” (PG) was coined from the observation by early workers that extracts of semen contracted the isolated uterus. While PGE was partitioned into ether, PGF was partitioned into phosphate (Fosfat in Swedish) buffer. PGA and PGB were artifacts stable in acidic and basic media respectively. Other PGs were named to fill the gaps. The subscript refers to the number of double bonds in the molecule. α – refers to the orientation of the hydroxy group above or below the plane of the ring. Action of COX on eicosatrienoic acid results in only a single bond as in PGE1.\nPharmacokinetics They are metabolized by several intracellular PG-specific enzymes which are very abundant in the lungs and then slowly by general fatty acid oxidizing enzymes at β-, ω-, 15-hydroxyl positions to the corresponding ketones. The products are excreted in the urine. The t½ of most PGs in circulation is less than 1 minute. PGI2 (t½ = 5 mins) is metabolized to 6-ketoPGF1α.\nPharmacological Actions The receptors for the prostanoids have been named one each f",
"Hyperglycemia and Diabetes Mellitus Patients should be advised of the potential risk of hyperglycemia-related adverse reactions. Patients should be monitored regularly for worsening of glucose control. Patients who have diabetes should follow their doctor's instructions about how often to check their blood sugar while taking olanzapine orally disintegrating tablets [see Warnings and Precautions ( 5.5",
"Montelukast causes inhibition of airway cysteinyl leukotriene receptors as demonstrated by the ability to inhibit bronchoconstriction due to inhaled LTD 4 4 The effect of montelukast sodium on eosinophils in the peripheral blood was examined in clinical trials. In patients with asthma aged 2 years and older who received montelukast sodium, a decrease in mean peripheral blood eosinophil counts ranging from 9% to 15% was noted, compared with placebo, over the double-blind treatment periods. In patients with seasonal allergic rhinitis aged 15 years and older who received montelukast sodium, a mean increase of 0.2% in peripheral blood eosinophil counts was noted, compared with a mean increase of 12.5% in placebo-treated patients, over the double-blind treatment periods; this reflects a mean difference of 12.3% in favor of montelukast sodium. The relationship between these observations and the clinical benefits of montelukast noted in the clinical trials is not known [see Clinical Studies (14)"
]
embeddings = model.encode(sentences)

similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [4, 4]

Notebooks
Google Colab
Kaggle

mpnet-base-v2-pharma-finetuned / README.md

nicher92

Add new SentenceTransformer model.

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metadata

tags:
  - sentence-transformers
  - sentence-similarity
  - feature-extraction
  - dense
  - generated_from_trainer
  - dataset_size:2648974
  - loss:CachedGISTEmbedLoss
base_model: sentence-transformers/all-mpnet-base-v2
widget:
  - source_sentence: What effect does montelukast have on eosinophils in the blood?
    sentences:
      - >-
        Prostaglandins and Leukotrienes

        The eicosanoids are a group of substances derived from phospholipids.
        These substances are found in animals and plants where they display a
        wide variety of biological activities. In humans, they are available in
        all tissues of the body and are often formed de novo. The student should
        reflect on the pathogenesis and pharmacotherapy of many diseases – pain
        and inflammation, spontaneous abortion, asthma, peptic ulcer, thrombosis
        etc. Indeed knowledge of the eicosanoids has revolutionized the
        pharmacotherapy of pain and inflammation. The mechanisms of action of
        NSAIDs and glucocorticoids cannot be fully discussed without mention of
        their effects on eicosanoid biosynthesis. The term eicosanoids as used
        in this lecture refers to prostagladins, thromboxanes, leukotrienes and
        lipoxins all of which are derived from arachidonic acid
        (eicosatetraenoic acid). The term, prostanoids encompasses both
        prostaglandins and thromboxanes both of which have the same synthetic
        origin.

        The precursor of the eicosanoids is arachidonic acid
        (5,8,11,14-eicosatetraenoic acid), a 20-carbon unsaturated fatty acid
        that is found in esterified form in phospholipids and glycerides of cell
        membranes. Phospholipids exist as: phosphatidylcholine,
        phosphatidylinositol, phosphatidylethanolamine, phosphatidylserine and
        diacylglycerol. Liberation of arachidonic acid (AA) from phospholipids
        may involve one or two steps. One-step process involves phospholipase A2
        (PLA2) but the two-step process involves first phospholipase C (PLC) and
        diacylglycerol (DAG) lipase (or phospholipase D), and then finally PLA2.
        There are at least two forms of PLA2 – cytosolic and extracellular but
        the former is by far more important from the point of view of
        inflammation and is Ca2+-dependent. Certain factors which include
        antigen-antibody reactions, cell damage as well as thrombin in
        platelets, C5a in neutrophils and bradykinin in fibroblasts all trigger
        the release of AA. Arachidonic acid is metabolized through the
        cyclooxygenase pathway to form prostaglandins and thromboxanes or
        through the lipoxygenase pathways to form leukotrienes, the lipoxins and
        other compounds (Fig 2, page 6).

        The Prostanoids These are formed by the action of cyclooxygenase [(COX)
        which may also be referred to as prostaglandin endoperoxide synthase] on
        AA. There are two forms of COX: COX-1 which is constitutive and is found
        in most cells. The action of COX-1 may involve normal homeostasis (e.g.
        actions on vascular responses as well as gastric cytoprotection). COX-2
        is more pertinent to inflammation and is induced following an
        inflammatory stimulus. The enzyme converts AA to unstable PGG2 first and
        then PGH2 both of which are called cyclic endoperoxides. PGH2 is the
        immediate precursor of other prostanoids and the eventual product
        depends on the cell: TXA2 in platelets, PGE2 in macrophages, PGD2 in
        mast cells, PGI2 in vascular endothelium and the GIT. The term
        “prostaglandin” (PG) was coined from the observation by early workers
        that extracts of semen contracted the isolated uterus. While PGE was
        partitioned into ether, PGF was partitioned into phosphate (Fosfat in
        Swedish) buffer. PGA and PGB were artifacts stable in acidic and basic
        media respectively. Other PGs were named to fill the gaps. The subscript
        refers to the number of double bonds in the molecule. α – refers to the
        orientation of the hydroxy group above or below the plane of the ring.
        Action of COX on eicosatrienoic acid results in only a single bond as in
        PGE1.

        Pharmacokinetics They are metabolized by several intracellular
        PG-specific enzymes which are very abundant in the lungs and then slowly
        by general fatty acid oxidizing enzymes at β-, ω-, 15-hydroxyl positions
        to the corresponding ketones. The products are excreted in the urine.
        The t½ of most PGs in circulation is less than 1 minute. PGI2 (t½ = 5
        mins) is metabolized to 6-ketoPGF1α.

        Pharmacological Actions The receptors for the prostanoids have been
        named one each f
      - >-
        Hyperglycemia and Diabetes Mellitus Patients should be advised of the
        potential risk of hyperglycemia-related adverse reactions. Patients
        should be monitored regularly for worsening of glucose control. Patients
        who have diabetes should follow their doctor's instructions about how
        often to check their blood sugar while taking olanzapine orally
        disintegrating tablets [see Warnings and Precautions ( 5.5
      - >-
        Montelukast causes inhibition of airway cysteinyl leukotriene receptors
        as demonstrated by the ability to inhibit bronchoconstriction due to
        inhaled LTD 4 4 The effect of montelukast sodium on eosinophils in the
        peripheral blood was examined in clinical trials. In patients with
        asthma aged 2 years and older who received montelukast sodium, a
        decrease in mean peripheral blood eosinophil counts ranging from 9% to
        15% was noted, compared with placebo, over the double-blind treatment
        periods. In patients with seasonal allergic rhinitis aged 15 years and
        older who received montelukast sodium, a mean increase of 0.2% in
        peripheral blood eosinophil counts was noted, compared with a mean
        increase of 12.5% in placebo-treated patients, over the double-blind
        treatment periods; this reflects a mean difference of 12.3% in favor of
        montelukast sodium. The relationship between these observations and the
        clinical benefits of montelukast noted in the clinical trials is not
        known [see Clinical Studies (14)
  - source_sentence: How does ramipril compare to other blood pressure medications?
    sentences:
      - >-
        14.1 Hypertension Ramipril has been compared with other ACE inhibitors,
        beta-blockers, and thiazide diuretics as monotherapy for hypertension.
        It was approximately as effective as other ACE inhibitors and as
        atenolol. Administration of ramipril to patients with mild to moderate
        hypertension results in a reduction of both supine and standing blood
        pressure to about the same extent with no compensatory tachycardia.
        Symptomatic postural hypotension is infrequent, although it can occur in
        patients who are salt- and/or volume-depleted [see WARNINGS AND
        PRECAUTIONS ( 5.5 Use of ramipril in combination with thiazide diuretics
        gives a blood pressure lowering effect greater than that seen with
        either agent alone. In single-dose studies, doses of 5 mg to 20 mg of
        ramipril lowered blood pressure within 1 to 2 hours, with peak
        reductions achieved 3 to 6 hours after dosing. The antihypertensive
        effect of a single dose persisted for 24 hours. In longer term (4 to 12
        weeks) controlled studies, once-daily doses of 2.5 mg to 10 mg were
        similar in their effect, lowering supine or standing systolic and
        diastolic blood pressures 24 hours after dosing by about 6/4 mmHg more
        than placebo. In comparisons of peak vs. trough effect, the trough
        effect represented about 50 to 60% of the peak response. In a titration
        study comparing divided (bid) vs. qd treatment, the divided regimen was
        superior, indicating that for some patients, the antihypertensive effect
        with once-daily dosing is not adequately maintained. In most trials, the
        antihypertensive effect of ramipril increased during the first several
        weeks of repeated measurements. The antihypertensive effect of ramipril
        has been shown to continue during long-term therapy for at least 2
        years. Abrupt withdrawal of ramipril has not resulted in a rapid
        increase in blood pressure. Ramipril has been compared with other ACE
        inhibitors, beta-blockers, and thiazide diuretics. Ramipril was
        approximately as effective as other ACE inhibitors and as atenolol. In
        both Caucasians and Blacks, hydrochlorothiazide (25 or 50 mg) was
        significantly more effective than ramipril. Ramipril was less effective
        in blacks than in Caucasians. The effectiveness of ramipril was not
        influenced by age, sex, or weight. In a baseline controlled study of 10
        patients with mild essential hypertension, blood pressure reduction was
        accompanied by a 15% increase in renal blood flow. In healthy
        volunteers, glomerular filtration rate was unchanged. 14.3 Heart Failure
        Post-Myocardial Infarction Ramipril was studied in the AIRE trial. This
        was a multinational (mainly European) 161-center, 2006-patient,
        double-blind, randomized, parallel-group study comparing ramipril to
        placebo in stable patients, 2 to 9 days after an acute myocardial
        infarction, who had shown clinical signs of congestive heart failure at
        any time after the myocardial infarction. Patients in severe (NYHA class
        IV) heart failure, patients with unstable angina, patients with heart
        failure of congenital or valvular etiology, and patients with
        contraindications to ACE inhibitors were all excluded. The majority of
        patients had received thrombolytic therapy at the time of the index
        infarction, and the average time between infarction and initiation of
        treatment was 5 days. Patients randomized to ramipril treatment were
        given an initial dose of 2.5 mg twice daily. If the initial regimen
        caused undue hypotension, the dose was reduced to 1.25 mg, but in either
        event doses were titrated upward (as tolerated) to a target regimen
        (achieved in 77% of patients randomized to ramipril) of 5 mg twice
        daily. Patients were then followed for an average of 15 months, with the
        range of follow-up between 6 and 46 months. The use of ramipril was
        associated with a 27% reduction (p=0.002) in the risk of death from any
        cause; about 90% of the deaths that occurred were cardiovascular, mainly
        sudden death. The risks of progression to severe heart failure and of
        congestive heart failure-related hospitalization were also reduced, by
        23% (p=0.017) and 26% (p=0.011), respectively. The benefits of ramipril
        therapy were seen in both genders, and they were not affected by the
        exact timing of the initiation of therapy, but older patients may have
        had a greater benefit than those under 65. The benefits were seen in
        patients on (and not on) various concomitant medications. At the time of
        randomization these included aspirin (about 80% of patients), diuretics
        (about 60%), organic nitrates (about 55%), beta-blockers (about 20%),
        calcium channel blockers (about 15%), and digoxin (about 12%).
      - >-
        Ramipril capsules are indicated for the treatment of hypertension. It
        may be used alone or in combination with thiazide diuretics. In using
        ramipril capsules, consideration should be given to the fact that
        another angiotensin converting enzyme inhibitor, captopril, has caused
        agranulocytosis, particularly in patients with renal impairment or
        collagen-vascular disease. Available data are insufficient to show that
        ramipril capsules do not have a similar risk. (See WARNINGS. In
        considering use of ramipril capsules, it should be noted that in
        controlled trials ACE inhibitors have an effect on blood pressure that
        is less in black patients than in non-blacks. In addition, ACE
        inhibitors (for which adequate data are available) cause a higher rate
        of angioedema in black than in non-black patients. (See WARNINGS,
        Angioedema.
      - >-
        Disease-modifying treatments (DMTs), which are the foundation of
        multiple sclerosis (MS) care, reduce clinical exacerbations (relapses)
        and slow disease progression; however, improving quality of life (QOL)
        is an unmet need for many individuals with MS. DMTs, including
        interferon-beta, glatiramer acetate, natalizumab, mitoxantrone, and
        fingolimod, reduce the rate and severity of relapses, the accumulation
        of brain and spinal cord lesions as shown on magnetic resonance imaging
        (MRI), and disability progression. Many studies link diminished QOL with
        specific MS symptoms (fatigue, impaired mobility, spasticity, etc). Even
        in patients already receiving DMTs, symptoms and QOL may improve with
        additional agents that treat specific symptoms, thereby improving
        patient function and ability to perform activities of daily living
        (ADLs). Patients have reported that mobility impairment is one of the
        worst aspects of MS. Almost half of patients treated with DMTs reported
        no improvement in mobility. However, blocking the voltage-dependent
        potassium channels on the surface of demyelinated nerve fibers may
        improve signal conduction. Dalfampridine, a potassium channel blocker,
        received Food and Drug Administration (FDA) approval for all forms of MS
        specifically to improve walking, which was demonstrated by increased
        walking speed. By improving walking in some patients with MS, the
        effects of dalfampridine may complement those of DMTs and address the
        stated priorities of many patients.

        (Am J Manag Care. 2011;17:S146-S153)

        MS Treatment and QOL

        Improving quality of life (QOL) is an unmet need for many individuals
        with multiple sclerosis (MS). Disease-modifying treatments (DMTs), which
        are the foundation of MS care,1 reduce clinical exacerbations (relapses)
        and slow disease progression.2 QOL improvement, although assumed with
        fewer relapses, has not always been well documented.

        Treatment individualization can include additional agents that treat
        specific symptoms, improving patient function and ability to perform
        activities of daily living (ADLs).3 Because many symptom-specific
        treatments are available, MS treatment should address QOL at every stage
        of disease progression.

        Actions and Safety of DMTs

        DMTs reduce the rate and severity of relapses, the accumulation of brain
        and spinal cord lesions as shown on magnetic resonance imaging (MRI),
        and disability progression as measured by Expanded Disability Status
        Scale (EDSS).2 Controlled clinical trials demonstrated relapse rate
        reductions of 28% to 68%.2 However, relatively few DMT trials documented
        QOL improvement with QOL metrics. The National Multiple Sclerosis
        Society (NMSS) stated that DMTs “can be looked upon as an investment in
        the future,” rather than treatment that makes patients feel better now.2
        Thus, clinicians may appreciate the effects of DMTs while some patients
        on DMT therapy continue to suffer treatable symptoms, poor QOL, and
        sometimes, adverse effects (AEs).

        Interferon-beta (IFNB) is a cytokine primarily secreted by fibroblasts
        as part of immune response4; recombinant DNA technology produces
        therapeutic IFNB agents.5 In MS, the IFNB mechanism seems to involve
        immunomodulatory effects mediated through interactions with specific
        cell-surface receptors.4 Whereas IFNB-1b is injected subcutaneously
        every other day, IFNB-1a is available in forms for intramuscular
        (weekly) and subcutaneous (3 times/week) injection.2 Four IFNB agents
        have received Food and Drug Administration (FDA) approval for relapsing
        forms of MS: interferon beta-1b (Betaseron) in 1993, interferon beta-1a
        (Avonex) in 1996, interferon beta-1a (Rebif) in 2002, and interferon
        beta-1b (Extavia) in 2009.2 Numerous randomized multicenter trials have
        demonstrated reduced rate and severity of relapses, delayed EDSS
        progression, and fewer MRI lesions with IFNB.4,5,6 Some patients develop
        neutralizing antibodies, potentially lessening efficacy over time.2,5

        The evidence for IFNB using QOL metrics is mixed. An early IFNB study
        incor
  - source_sentence: Should I use ZYPREXA cautiously if I have a history of seizures?
    sentences:
      - "The intravenous testing dose of ENLON in children weighing up to 75\_lbs is 0.1\_mL (1\_mg); above this weight, the dose is\n\t\t\t\t\t\t\t\t\t\t\t0.2\_mL (2\_mg). If there is no response after 45\_seconds, it may be titrated up to 0.5\_mL (5\_mg) in children under 75\_lbs, given in increments of 0.1\_mL (1\_mg) every 30 to 45\n\t\t\t\t\t\t\t\t\t\t\tseconds and up to 1\_mL (10\_mg) in heavier children. In infants, the recommended dose is 0.05\_mL (0.5\_mg). Because of technical difficulty with intravenous injection in children,\n\t\t\t\t\t\t\t\t\t\t\tthe intramuscular route may be used. In children weighing up to 75\_lbs, 0.2\_mL (2\_mg) is injected intramuscularly. In children weighing more than 75\_lbs, 0.5\_mL (5\_mg) is\n\t\t\t\t\t\t\t\t\t\t\tinjected intramuscularly. All signs which would appear with the intravenous test appears with the intramuscular test except that there is a delay of two to ten minutes before a\n\t\t\t\t\t\t\t\t\t\t\treaction is noted."
      - >-
        TREXIMET should be used with caution in patients with a history of
        epilepsy or conditions associated with a lowered seizure threshold.
        There have been reports of seizure following administration of
        sumatriptan.
      - >-
        During premarketing testing, seizures occurred in 0.9% (22/2500) of
        olanzapine-treated patients. There were confounding factors that may
        have contributed to the occurrence of seizures in many of these cases.
        Olanzapine should be used cautiously in patients with a history of
        seizures or with conditions that potentially lower the seizure
        threshold, e.g., Alzheimer's dementia. Olanzapine is not approved for
        the treatment of patients with Alzheimer's disease. Conditions that
        lower the seizure threshold may be more prevalent in a population of 65
        years or older.
  - source_sentence: How much erythromycin is in each pledget?
    sentences:
      - >-
        Theophylline There have been published reports suggesting that when oral
        erythromycin is given concurrently with theophylline there is a decrease
        in erythromycin serum concentrations of approximately 35%. The mechanism
        by which this interaction occurs is unknown. The decrease in
        erythromycin concentrations due to co-administration of theophylline
        could result in subtherapeutic concentrations of erythromycin.
        Hypotension, bradyarrhythmias, and lactic acidosis have been observed in
        patients receiving concurrent verapamil, belonging to the calcium
        channel blockers drug class. Concomitant administration of erythromycin
        and digoxin has been reported to result in elevated digoxin serum
        levels. There have been reports of increased anticoagulant effects when
        erythromycin and oral anticoagulants were used concomitantly. Increased
        anticoagulation effects due to interactions of erythromycin with oral
        anticoagulants may be more pronounced in the elderly. Erythromycin is a
        substrate and inhibitor of the 3A isoform subfamily of the cytochrome
        p450 enzyme system (CYP3A). Coadministration of erythromycin and a drug
        primarily metabolized by CYP3A may be associated with elevations in drug
        concentrations that could increase or prolong both the therapeutic and
        adverse effects of the concomitant drug. Dosage adjustments may be
        considered, and when possible, serum concentrations of drugs primarily
        metabolized by CYP3A should be monitored closely in patients
        concurrently receiving erythromycin. The following are examples of some
        clinically significant CYP3A based drug interactions. Interactions with
        other drugs metabolized by the CYP3A isoform are also possible. The
        following CYP3A based drug interactions have been observed with
        erythromycin products in post-marketing experience:
        Ergotamine/dihydroergotamine Post-marketing reports indicate that
        co-administration of erythromycin with ergotamine or dihydroergotamine
        has been associated with acute ergot toxicity characterized by vasospasm
        and ischemia of the extremities and other tissues including the central
        nervous system. Concomitant administration of erythromycin with
        ergotamine or dihydroergotamine is contraindicated (see
        CONTRAINDICATIONS Triazolobenzodiazepines (such as triazolam and
        alprazolam) and related benzodiazepines Erythromycin has been reported
        to decrease the clearance of triazolam and midazolam, and thus, may
        increase the pharmacologic effect of these benzodiazepines. HMG-CoA
        Reductase Inhibitors Erythromycin has been reported to increase
        concentrations of HMG-CoA reductase inhibitors (e.g., lovastatin and
        simvastatin). Rare reports of rhabdomyolysis have been reported in
        patients taking these drugs concomitantly. Sildenafil (Viagra)
        Erythromycin has been reported to increase the systemic exposure (AUC)
        of sildenafil. Reduction of sildenafil dosage should be considered. (See
        Viagra package insert.) There have been spontaneous or published reports
        of CYP3A based interactions of erythromycin with cyclosporine,
        carbamazepine, tacrolimus, alfentanil, disopyramide, rifabutin,
        quinidine, methyl-prednisolone, cilostazol, vinblastine, and
        bromocriptine. Concomitant administration of erythromycin with
        cisapride, pimozide, astemizole, or terfenadine is contraindicated. (See
        CONTRAINDICATIONS. In addition, there have been reports of interactions
        of erythromycin with drugs not thought to be metabolized by CYP3A,
        including hexobarbital, phenytoin, and valproate. Erythromycin has been
        reported to significantly alter the metabolism of the nonsedating
        antihistamines terfenadine and astemizole when taken concomitantly. Rare
        cases of serious cardiovascular adverse events, including
        electrocardiographic QT/QTc interval prolongation, cardiac arrest,
        torsades de pointes, and other ventricular arrhythmias have been
        observed. (See CONTRAINDICATIONS. There have been post-marketing reports
        of drug interactions when erythromycin was co-administered with
        cisapride, resulting in QT prolongation, cardiac arrhythmias,
        ventricular tachycardia, ventricular fibrillation, and torsades de
        pointes, most likely due to the inhibition of hepatic metabolism of
        cisapride by erythromycin. Fatalities have been reported. (See
        CONTRAINDICATIONS. Colchicine Colchicine is a substrate for both CYP3A4
        and the efflux transporter P-glycoprotein (P-gp). Erythromycin is
        considered a moderate inhibitor of CYP3A4. A significant increase in
        colchicine plasma concentration is anticipated when co-administered with
        moderate CYP3A4 inhibitors such as erythromycin. If co-administration of
        colchicine and erythromycin is necessary, the starting dose of
        colchicine may need to be reduced, and the maximum colchicine dose
        should be lowered. Patients should be monitored for clinical symptoms of
        colchicine toxicity (see WARNINGS).
      - >-
        Patients receiving furosemide should be advised that they may experience
        symptoms from excessive fluid and/or electrolyte losses. The postural
        hypotension that sometimes occurs can usually be managed by getting up
        slowly. Potassium supplements and/or dietary measures may be needed to
        control or avoid hypokalemia. Patients with diabetes mellitus should be
        told that furosemide may increase blood glucose levels and thereby
        affect urine glucose tests. The skin of some patients may be more
        sensitive to the effects of sunlight while taking furosemide.
        Hypertensive patients should avoid medications that may increase blood
        pressure, including over-the-counter products for appetite suppression
        and cold symptoms.
      - >-
        Each pledget is filled to contain 1 mL of Erythromycin Topical Solution
        USP 2%. Each mL of Erythromycin Topical Solution USP 2% contains 20 mg
        of erythromycin. Each pledget is supplied in an individual foil packet
        in boxes of 60. NDC 0168-0215-01. Store at 20°- 25°C (68°- 77°F)[See USP
        Controlled Room Temperature]. E. FOUGERA & CO. a division of Altana Inc.
        IF221501 Remove this portion before dispensing ERYTHROMYCIN PLEDGETS,
        USP
  - source_sentence: What does COAGADEX do to plasma levels of Factor X?
    sentences:
      - >-
        Substances increasing the plasma concentrations of COCs: see Warnings
        and Precautions ( 5.2
      - >-
        The recommended starting dose of valsartan tablets is 40 mg twice daily.
        Uptitrate to 80 mg and 160 mg twice daily or to the highest dose
        tolerated by the patient. Consider reducing the dose of concomitant
        diuretics. The maximum daily dose administered in clinical trials is 320
        mg in divided doses.
      - >-
        The administration of COAGADEX increases plasma levels of Factor X and
        can temporarily correct the coagulation defect in these patients, as
        reflected by decrease in the aPTT and PT.
datasets:
  - nicher92/mined_negatives_pharma_qa
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: SentenceTransformer based on sentence-transformers/all-mpnet-base-v2
    results:
      - task:
          type: information-retrieval
          name: Information Retrieval
        dataset:
          name: ir eval
          type: ir-eval
        metrics:
          - type: cosine_accuracy@1
            value: 0.5473816614565028
            name: Cosine Accuracy@1
          - type: cosine_accuracy@3
            value: 0.7909768594735577
            name: Cosine Accuracy@3
          - type: cosine_accuracy@5
            value: 0.8653558017794714
            name: Cosine Accuracy@5
          - type: cosine_accuracy@10
            value: 0.9238637835038198
            name: Cosine Accuracy@10
          - type: cosine_precision@1
            value: 0.5473816614565028
            name: Cosine Precision@1
          - type: cosine_precision@3
            value: 0.2636589531578525
            name: Cosine Precision@3
          - type: cosine_precision@5
            value: 0.1730711603558943
            name: Cosine Precision@5
          - type: cosine_precision@10
            value: 0.09238637835038199
            name: Cosine Precision@10
          - type: cosine_recall@1
            value: 0.5473816614565028
            name: Cosine Recall@1
          - type: cosine_recall@3
            value: 0.7909768594735577
            name: Cosine Recall@3
          - type: cosine_recall@5
            value: 0.8653558017794714
            name: Cosine Recall@5
          - type: cosine_recall@10
            value: 0.9238637835038198
            name: Cosine Recall@10
          - type: cosine_ndcg@10
            value: 0.7408592244566691
            name: Cosine Ndcg@10
          - type: cosine_mrr@10
            value: 0.6814683692113697
            name: Cosine Mrr@10
          - type: cosine_map@100
            value: 0.6844679271586943
            name: Cosine Map@100

SentenceTransformer based on sentence-transformers/all-mpnet-base-v2

This is a sentence-transformers model finetuned from sentence-transformers/all-mpnet-base-v2 on the mined_negatives_pharma_qa dataset. It maps sentences & paragraphs to a 768-dimensional dense vector space and can be used for semantic textual similarity, semantic search, paraphrase mining, text classification, clustering, and more.

Model Details

Model Description

Model Type: Sentence Transformer
Base model: sentence-transformers/all-mpnet-base-v2
Maximum Sequence Length: 384 tokens
Output Dimensionality: 768 dimensions
Similarity Function: Cosine Similarity
Training Dataset:
- mined_negatives_pharma_qa

Model Sources

Documentation: Sentence Transformers Documentation
Repository: Sentence Transformers on GitHub
Hugging Face: Sentence Transformers on Hugging Face

Full Model Architecture

SentenceTransformer(
  (0): Transformer({'max_seq_length': 384, 'do_lower_case': False, 'architecture': 'MPNetModel'})
  (1): Pooling({'word_embedding_dimension': 768, 'pooling_mode_cls_token': False, 'pooling_mode_mean_tokens': True, 'pooling_mode_max_tokens': False, 'pooling_mode_mean_sqrt_len_tokens': False, 'pooling_mode_weightedmean_tokens': False, 'pooling_mode_lasttoken': False, 'include_prompt': True})
  (2): Normalize()
)

Usage

Direct Usage (Sentence Transformers)

First install the Sentence Transformers library:

pip install -U sentence-transformers

Then you can load this model and run inference.

from sentence_transformers import SentenceTransformer

# Download from the 🤗 Hub
model = SentenceTransformer("nicher92/mpnet-base-v2-pharma-finetuned")
# Run inference
sentences = [
    'What does COAGADEX do to plasma levels of Factor X?',
    'The administration of COAGADEX increases plasma levels of Factor X and can temporarily correct the coagulation defect in these patients, as reflected by decrease in the aPTT and PT.',
    'Substances increasing the plasma concentrations of COCs: see Warnings and Precautions ( 5.2',
]
embeddings = model.encode(sentences)
print(embeddings.shape)
# [3, 768]

# Get the similarity scores for the embeddings
similarities = model.similarity(embeddings, embeddings)
print(similarities)
# tensor([[1.0000, 0.8412, 0.5243],
#         [0.8412, 1.0000, 0.3897],
#         [0.5243, 0.3897, 1.0000]])

Evaluation

Metrics

Information Retrieval

Dataset: ir-eval
Evaluated with InformationRetrievalEvaluator

Metric	Value
cosine_accuracy@1	0.5474
cosine_accuracy@3	0.791
cosine_accuracy@5	0.8654
cosine_accuracy@10	0.9239
cosine_precision@1	0.5474
cosine_precision@3	0.2637
cosine_precision@5	0.1731
cosine_precision@10	0.0924
cosine_recall@1	0.5474
cosine_recall@3	0.791
cosine_recall@5	0.8654
cosine_recall@10	0.9239
cosine_ndcg@10	0.7409
cosine_mrr@10	0.6815
cosine_map@100	0.6845

Training Details

Training Dataset

mined_negatives_pharma_qa

Dataset: mined_negatives_pharma_qa at 4caeb19
Size: 2,648,974 training samples
Columns: anchor, positive, and negative

Approximate statistics based on the first 1000 samples:

	anchor	positive	negative
type	string	string	string
details	min: 7 tokens mean: 17.74 tokens max: 40 tokens	min: 3 tokens mean: 233.09 tokens max: 384 tokens	min: 3 tokens mean: 191.81 tokens max: 384 tokens

Samples:

anchor	positive	negative
`What condition was pregabalin shown to be effective for?`	The efficacy of pregabalin for the management of neuropathic pain associated with spinal cord injury was established in two double-blind, placebo-controlled, multicenter studies. Patients were enrolled with neuropathic pain associated with spinal cord injury that persisted continuously for at least three months or with relapses and remissions for at least six months. A total of 63% of patients completed study 1 and 84% completed study 2. The patients had a minimum mean baseline pain score of greater than or equal to 4 on an 11-point numerical pain rating scale ranging from 0 (no pain) to 10 (worst possible pain). The baseline mean pain scores across the two studies ranged from 6.5 to 6.7. Patients were allowed to take opioids, non-opioid analgesics, antiepileptic drugs, muscle relaxants, and antidepressant drugs if the dose was stable for 30 days prior to screening. Patients were allowed to take acetaminophen and nonsteroidal anti-inflammatory drugs during the studies. Study SCI 1: Fig...	Pregabalin is a widely prescribed medication used to manage nerve pain, epilepsy, and anxiety disorders. Pregabalin calms overactive nerve signals, providing much-needed relief for many patients. While it has legitimate medical use, its potential for misuse and addiction warrants careful prescribing and monitoring. Abuse is more common among individuals with a history of substance use disorders. Are you struggling with Pregabalin? Pregabalin is a prescription medication that belongs to the class of drugs known as anticonvulsants. It is used to treat a variety of neurological conditions, primarily involving nerve pain and seizures. Below are the key medical uses of Pregabalin: Neuropathic Pain Management Pregabalin is widely used to manage neuropathic pain, which occurs due to nerve damage. Some common conditions treated include: Diabetic Neuropathy: Nerve damage due to prolonged high blood sugar levels in diabetes. Postherpetic Neuralgia: Persistent nerve pain following shingles (herpe...
`What should the nurse do when a patient is experiencing an anginal episode?`	Nursing diagnosis: Angina pectoris related to increased cardiac workload and oxygen consumption; decreased myocardial blood flow, tissue ischemia. Possibly evidenced by Reports of pain varying in frequency, duration, and intensity, especially as condition worsens Distraction behaviors, such as moaning, crying, pacing, or restlessness Autonomic responses, such as diaphoresis, BP and pulse rate changes, pupillary dilation, increased or decreased respiratory rate Desired Outcomes/Evaluation Criteria—Client Will Report anginal episodes decreased in frequency, duration, and severity. Demonstrate relief of pain as evidenced by stable vital signs and absence of muscle tension and restlessness. Nursing care plan with intervention: 1. Instruct client to notify nurse immediately when chest pain occurs. Rationale: Pain and decreased cardiac output may stimulate the sympathetic nervous system to release excessive amounts of norepinephrine, which increases platelet aggregation, and release of throm...	Situation I -- Nurse Caria is assigned in the emergency unit meeting. Varied opportunities that developed her nursing skills. 1. A 17-year old is admitted following an automobile accident He is very anxious, dyspneic, and in severe pain. The left chest wall moves in during inspiration and balloons out when he exhales. The nurse understands these symptoms are most suggestive of: b. Flail chest d. Pleural effusion 2. A young man is admitted with a flail chest following a car accident. He is intubated with an endotracheal tube and is placed on a mechanical ventilator (control mode, positive pressure). Which physical finding alerts the nurse to an additional problem in respiratory function? a. Dullness to percussion in the third to 5th intercostals space, midclavicular line b. Decreased paradoxical motion c. Louder breath sounds on the right chest d. pH of 7.36 In arterial blood gases 3. The nurse is caring for a client who has just had a chest tube attached to a water seal drainage system...
`What are the 'awesome foursome' of cardiovascular health, according to Dr. Stephen T. Sinatra?`	Metabolic cardiologist Dr Stephen T. Sinatra considers coenzyme Q10 (CoQ10), L carnitine, D ribose and magnesium the ‘awesome foursome’ of cardiovascular health. Dr Sinatra explains that while 1 + 1 will always equal 2 in mathematics, in metabolic cardiology and nutritional medicine, when you are talking about substances that are synergistic with each other such as the ‘awesome foursome’, 1 + 1 might equal 5 or even 10. In other words, the benefits of taking more than one of these substances at a time may far outweigh the benefits seen from taking any of them alone. The heart and the brain are especially rich in mitochondria. This makes them especially vulnerable to mitochondrial damage and the resulting decrease in energy output. Both the brain and the heart (with its extraordinary non-stop work) need an enormous amount of energy. Dr Sinatra explains that, It’s all about ATP (adenosine triphosphate). Hearts, skeletal muscles and every other tissue in our bodies have an absolute need f...	^ Qaseem, A; Wilt, TJ; Rich, R; Humphrey, LL; Frost, J; Forciea, MA; Clinical Guidelines Committee of the American College of Physicians and the Commission on Health of the Public and Science of the American Academy of Family, Physicians. (21 March 2017). "Pharmacologic Treatment of Hypertension in Adults Aged 60 Years or Older to Higher Versus Lower Blood Pressure Targets: A Clinical Practice Guideline From the American College of Physicians and the American Academy of Family Physicians". Annals of Internal Medicine. 166 (6): 430–437. doi:10.7326/m16-1785. PMID 28135725. An exception to this is those with very high blood pressure readings especially when there is poor organ function. Initial assessment of the hypertensive people should include a complete history and physical examination. With the availability of 24-hour ambulatory blood pressure monitors and home blood pressure machines, the importance of not wrongly diagnosing those who have white coat hypertension has led to a chang...

Loss: CachedGISTEmbedLoss with these parameters:

{
    "guide": "SentenceTransformer('sentence-transformers/all-mpnet-base-v2')",
    "temperature": 0.01,
    "mini_batch_size": 256,
    "margin_strategy": "absolute",
    "margin": 0.0,
    "contrast_anchors": true,
    "contrast_positives": true,
    "gather_across_devices": false
}

Training Hyperparameters

Non-Default Hyperparameters

eval_strategy: steps
per_device_train_batch_size: 512
learning_rate: 1e-05
num_train_epochs: 1
warmup_ratio: 0.1
bf16: True
dataloader_drop_last: True
dataloader_num_workers: 8
load_best_model_at_end: True
optim: adamw_torch_fused
ddp_find_unused_parameters: True

All Hyperparameters

Click to expand

overwrite_output_dir: False
do_predict: False
eval_strategy: steps
prediction_loss_only: True
per_device_train_batch_size: 512
per_device_eval_batch_size: 8
per_gpu_train_batch_size: None
per_gpu_eval_batch_size: None
gradient_accumulation_steps: 1
eval_accumulation_steps: None
torch_empty_cache_steps: None
learning_rate: 1e-05
weight_decay: 0.0
adam_beta1: 0.9
adam_beta2: 0.999
adam_epsilon: 1e-08
max_grad_norm: 1.0
num_train_epochs: 1
max_steps: -1
lr_scheduler_type: linear
lr_scheduler_kwargs: {}
warmup_ratio: 0.1
warmup_steps: 0
log_level: passive
log_level_replica: warning
log_on_each_node: True
logging_nan_inf_filter: True
save_safetensors: True
save_on_each_node: False
save_only_model: False
restore_callback_states_from_checkpoint: False
no_cuda: False
use_cpu: False
use_mps_device: False
seed: 42
data_seed: None
jit_mode_eval: False
use_ipex: False
bf16: True
fp16: False
fp16_opt_level: O1
half_precision_backend: auto
bf16_full_eval: False
fp16_full_eval: False
tf32: None
local_rank: 0
ddp_backend: None
tpu_num_cores: None
tpu_metrics_debug: False
debug: []
dataloader_drop_last: True
dataloader_num_workers: 8
dataloader_prefetch_factor: None
past_index: -1
disable_tqdm: False
remove_unused_columns: True
label_names: None
load_best_model_at_end: True
ignore_data_skip: False
fsdp: []
fsdp_min_num_params: 0
fsdp_config: {'min_num_params': 0, 'xla': False, 'xla_fsdp_v2': False, 'xla_fsdp_grad_ckpt': False}
fsdp_transformer_layer_cls_to_wrap: None
accelerator_config: {'split_batches': False, 'dispatch_batches': None, 'even_batches': True, 'use_seedable_sampler': True, 'non_blocking': False, 'gradient_accumulation_kwargs': None}
deepspeed: None
label_smoothing_factor: 0.0
optim: adamw_torch_fused
optim_args: None
adafactor: False
group_by_length: False
length_column_name: length
ddp_find_unused_parameters: True
ddp_bucket_cap_mb: None
ddp_broadcast_buffers: False
dataloader_pin_memory: True
dataloader_persistent_workers: False
skip_memory_metrics: True
use_legacy_prediction_loop: False
push_to_hub: False
resume_from_checkpoint: None
hub_model_id: None
hub_strategy: every_save
hub_private_repo: None
hub_always_push: False
hub_revision: None
gradient_checkpointing: False
gradient_checkpointing_kwargs: None
include_inputs_for_metrics: False
include_for_metrics: []
eval_do_concat_batches: True
fp16_backend: auto
push_to_hub_model_id: None
push_to_hub_organization: None
mp_parameters:
auto_find_batch_size: False
full_determinism: False
torchdynamo: None
ray_scope: last
ddp_timeout: 1800
torch_compile: False
torch_compile_backend: None
torch_compile_mode: None
include_tokens_per_second: False
include_num_input_tokens_seen: False
neftune_noise_alpha: None
optim_target_modules: None
batch_eval_metrics: False
eval_on_start: False
use_liger_kernel: False
liger_kernel_config: None
eval_use_gather_object: False
average_tokens_across_devices: False
prompts: None
batch_sampler: batch_sampler
multi_dataset_batch_sampler: proportional
router_mapping: {}
learning_rate_mapping: {}

Training Logs

Click to expand

Epoch	Step	Training Loss	ir-eval_cosine_ndcg@10
0.0002	1	0.6257	-
0.0004	2	0.5422	-
0.0006	3	0.6598	-
0.0008	4	0.6862	-
0.0010	5	0.5532	-
0.0012	6	0.8951	-
0.0014	7	0.5815	-
0.0015	8	0.6772	-
0.0017	9	0.8136	-
0.0019	10	0.7566	-
0.0021	11	0.7721	-
0.0023	12	0.8909	-
0.0025	13	0.7284	-
0.0027	14	0.7967	-
0.0029	15	0.7023	-
0.0031	16	0.5045	-
0.0033	17	0.634	-
0.0035	18	0.7284	-
0.0037	19	0.7054	-
0.0039	20	0.4667	-
0.0041	21	0.6925	-
0.0043	22	0.4554	-
0.0044	23	0.5405	-
0.0046	24	0.6697	-
0.0048	25	0.4771	-
0.0050	26	0.405	-
0.0052	27	0.462	-
0.0054	28	0.3969	-
0.0056	29	0.59	-
0.0058	30	0.4597	-
0.0060	31	0.4992	-
0.0062	32	0.4947	-
0.0064	33	0.4387	-
0.0066	34	0.3591	-
0.0068	35	0.3461	-
0.0070	36	0.435	-
0.0072	37	0.3987	-
0.0073	38	0.3799	-
0.0075	39	0.4412	-
0.0077	40	0.3383	-
0.0079	41	0.3214	-
0.0081	42	0.3984	-
0.0083	43	0.3712	-
0.0085	44	0.2956	-
0.0087	45	0.3776	-
0.0089	46	0.4051	-
0.0091	47	0.4351	-
0.0093	48	0.2613	-
0.0095	49	0.2973	-
0.0097	50	0.2774	-
0.0099	51	0.2727	-
0.0101	52	0.2827	-
0.0102	53	0.4	-
0.0104	54	0.4333	-
0.0106	55	0.3359	-
0.0108	56	0.1773	-
0.0110	57	0.2727	-
0.0112	58	0.1771	-
0.0114	59	0.2934	-
0.0116	60	0.2553	-
0.0118	61	0.2375	-
0.0120	62	0.1793	-
0.0122	63	0.3022	-
0.0124	64	0.2449	-
0.0126	65	0.2721	-
0.0128	66	0.3261	-
0.0130	67	0.3488	-
0.0131	68	0.2378	-
0.0133	69	0.2464	-
0.0135	70	0.3502	-
0.0137	71	0.2603	-
0.0139	72	0.2049	-
0.0141	73	0.2809	-
0.0143	74	0.3052	-
0.0145	75	0.2492	-
0.0147	76	0.2821	-
0.0149	77	0.1933	-
0.0151	78	0.2324	-
0.0153	79	0.2802	-
0.0155	80	0.2557	-
0.0157	81	0.2457	-
0.0159	82	0.1877	-
0.0160	83	0.196	-
0.0162	84	0.2161	-
0.0164	85	0.2189	-
0.0166	86	0.2052	-
0.0168	87	0.1906	-
0.0170	88	0.1932	-
0.0172	89	0.2277	-
0.0174	90	0.1648	-
0.0176	91	0.2238	-
0.0178	92	0.2526	-
0.0180	93	0.1828	-
0.0182	94	0.1621	-
0.0184	95	0.2028	-
0.0186	96	0.2161	-
0.0188	97	0.2115	-
0.0189	98	0.2406	-
0.0191	99	0.2297	-
0.0193	100	0.1527	-
0.0195	101	0.1135	-
0.0197	102	0.1124	-
0.0199	103	0.1653	-
0.0201	104	0.2397	-
0.0203	105	0.2746	-
0.0205	106	0.1622	-
0.0207	107	0.1463	-
0.0209	108	0.152	-
0.0211	109	0.202	-
0.0213	110	0.2202	-
0.0215	111	0.1713	-
0.0217	112	0.2131	-
0.0218	113	0.1469	-
0.0220	114	0.1351	-
0.0222	115	0.2331	-
0.0224	116	0.2203	-
0.0226	117	0.1716	-
0.0228	118	0.1348	-
0.0230	119	0.2397	-
0.0232	120	0.2361	-
0.0234	121	0.197	-
0.0236	122	0.2459	-
0.0238	123	0.1264	-
0.0240	124	0.1799	-
0.0242	125	0.1787	-
0.0244	126	0.1923	-
0.0246	127	0.1617	-
0.0247	128	0.2104	-
0.0249	129	0.2611	-
0.0251	130	0.215	-
0.0253	131	0.1822	-
0.0255	132	0.1298	-
0.0257	133	0.2253	-
0.0259	134	0.1605	-
0.0261	135	0.1838	-
0.0263	136	0.1383	-
0.0265	137	0.2225	-
0.0267	138	0.1621	-
0.0269	139	0.2278	-
0.0271	140	0.1319	-
0.0273	141	0.1701	-
0.0275	142	0.1843	-
0.0276	143	0.2161	-
0.0278	144	0.1863	-
0.0280	145	0.2348	-
0.0282	146	0.1565	-
0.0284	147	0.1925	-
0.0286	148	0.2411	-
0.0288	149	0.1589	-
0.0290	150	0.1686	-
0.0292	151	0.1728	-
0.0294	152	0.1627	-
0.0296	153	0.189	-
0.0298	154	0.1664	-
0.0300	155	0.2101	-
0.0302	156	0.1984	-
0.0303	157	0.2145	-
0.0305	158	0.2047	-
0.0307	159	0.1867	-
0.0309	160	0.1185	-
0.0311	161	0.1813	-
0.0313	162	0.1807	-
0.0315	163	0.2486	-
0.0317	164	0.1566	-
0.0319	165	0.2754	-
0.0321	166	0.1857	-
0.0323	167	0.1566	-
0.0325	168	0.1752	-
0.0327	169	0.1784	-
0.0329	170	0.1794	-
0.0331	171	0.2084	-
0.0332	172	0.2173	-
0.0334	173	0.1842	-
0.0336	174	0.1121	-
0.0338	175	0.1284	-
0.0340	176	0.2057	-
0.0342	177	0.1643	-
0.0344	178	0.2187	-
0.0346	179	0.1019	-
0.0348	180	0.2564	-
0.0350	181	0.1516	-
0.0352	182	0.1677	-
0.0354	183	0.2064	-
0.0356	184	0.1355	-
0.0358	185	0.1588	-
0.0360	186	0.299	-
0.0361	187	0.1714	-
0.0363	188	0.18	-
0.0365	189	0.1277	-
0.0367	190	0.1154	-
0.0369	191	0.1547	-
0.0371	192	0.1807	-
0.0373	193	0.105	-
0.0375	194	0.1825	-
0.0377	195	0.187	-
0.0379	196	0.1617	-
0.0381	197	0.1212	-
0.0383	198	0.14	-
0.0385	199	0.2208	-
0.0387	200	0.1081	0.6813
0.0389	201	0.1215	-
0.0390	202	0.2054	-
0.0392	203	0.137	-
0.0394	204	0.1719	-
0.0396	205	0.126	-
0.0398	206	0.1375	-
0.0400	207	0.1354	-
0.0402	208	0.1449	-
0.0404	209	0.1675	-
0.0406	210	0.0723	-
0.0408	211	0.202	-
0.0410	212	0.1518	-
0.0412	213	0.0998	-
0.0414	214	0.0921	-
0.0416	215	0.1649	-
0.0418	216	0.1766	-
0.0419	217	0.1236	-
0.0421	218	0.1531	-
0.0423	219	0.1628	-
0.0425	220	0.1033	-
0.0427	221	0.1332	-
0.0429	222	0.2234	-
0.0431	223	0.235	-
0.0433	224	0.1604	-
0.0435	225	0.1649	-
0.0437	226	0.1934	-
0.0439	227	0.1536	-
0.0441	228	0.1282	-
0.0443	229	0.2185	-
0.0445	230	0.0926	-
0.0447	231	0.1798	-
0.0448	232	0.146	-
0.0450	233	0.1279	-
0.0452	234	0.2051	-
0.0454	235	0.1115	-
0.0456	236	0.1602	-
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0.1510	781	0.0962	-
0.1512	782	0.0583	-
0.1514	783	0.0638	-
0.1516	784	0.0875	-
0.1517	785	0.0658	-
0.1519	786	0.1575	-
0.1521	787	0.0926	-
0.1523	788	0.1406	-
0.1525	789	0.1045	-
0.1527	790	0.0954	-
0.1529	791	0.0638	-
0.1531	792	0.0998	-
0.1533	793	0.1096	-
0.1535	794	0.1296	-
0.1537	795	0.1145	-
0.1539	796	0.1677	-
0.1541	797	0.1236	-
0.1543	798	0.0582	-
0.1545	799	0.1159	-
0.1546	800	0.1197	0.7168
0.1548	801	0.0984	-
0.1550	802	0.0813	-
0.1552	803	0.1337	-
0.1554	804	0.1118	-
0.1556	805	0.0998	-
0.1558	806	0.1066	-
0.1560	807	0.1128	-
0.1562	808	0.1099	-
0.1564	809	0.1128	-
0.1566	810	0.0664	-
0.1568	811	0.1049	-
0.1570	812	0.0961	-
0.1572	813	0.0974	-
0.1574	814	0.0841	-
0.1575	815	0.0732	-
0.1577	816	0.069	-
0.1579	817	0.0985	-
0.1581	818	0.078	-
0.1583	819	0.0927	-
0.1585	820	0.1019	-
0.1587	821	0.0699	-
0.1589	822	0.0604	-
0.1591	823	0.1122	-
0.1593	824	0.0731	-
0.1595	825	0.1073	-
0.1597	826	0.0785	-
0.1599	827	0.1023	-
0.1601	828	0.0633	-
0.1603	829	0.105	-
0.1604	830	0.0798	-
0.1606	831	0.0865	-
0.1608	832	0.0677	-
0.1610	833	0.0864	-
0.1612	834	0.1174	-
0.1614	835	0.0752	-
0.1616	836	0.087	-
0.1618	837	0.0678	-
0.1620	838	0.0991	-
0.1622	839	0.1194	-
0.1624	840	0.1127	-
0.1626	841	0.0685	-
0.1628	842	0.13	-
0.1630	843	0.0705	-
0.1632	844	0.133	-
0.1633	845	0.0962	-
0.1635	846	0.092	-
0.1637	847	0.1147	-
0.1639	848	0.0721	-
0.1641	849	0.0667	-
0.1643	850	0.0556	-
0.1645	851	0.0774	-
0.1647	852	0.0981	-
0.1649	853	0.1138	-
0.1651	854	0.1113	-
0.1653	855	0.123	-
0.1655	856	0.034	-
0.1657	857	0.0797	-
0.1659	858	0.0796	-
0.1661	859	0.0667	-
0.1662	860	0.0881	-
0.1664	861	0.0851	-
0.1666	862	0.0468	-
0.1668	863	0.08	-
0.1670	864	0.0856	-
0.1672	865	0.0949	-
0.1674	866	0.067	-
0.1676	867	0.129	-
0.1678	868	0.0522	-
0.1680	869	0.0528	-
0.1682	870	0.0818	-
0.1684	871	0.0794	-
0.1686	872	0.0899	-
0.1688	873	0.0742	-
0.1690	874	0.0915	-
0.1691	875	0.1107	-
0.1693	876	0.0767	-
0.1695	877	0.0591	-
0.1697	878	0.0598	-
0.1699	879	0.0836	-
0.1701	880	0.0791	-
0.1703	881	0.0925	-
0.1705	882	0.0993	-
0.1707	883	0.085	-
0.1709	884	0.0824	-
0.1711	885	0.1184	-
0.1713	886	0.096	-
0.1715	887	0.0593	-
0.1717	888	0.0442	-
0.1719	889	0.0889	-
0.1720	890	0.0842	-
0.1722	891	0.0973	-
0.1724	892	0.1876	-
0.1726	893	0.1301	-
0.1728	894	0.1249	-
0.1730	895	0.1458	-
0.1732	896	0.1194	-
0.1734	897	0.0521	-
0.1736	898	0.0851	-
0.1738	899	0.0878	-
0.1740	900	0.084	-
0.1742	901	0.0846	-
0.1744	902	0.0859	-
0.1746	903	0.0761	-
0.1748	904	0.1303	-
0.1749	905	0.0755	-
0.1751	906	0.0659	-
0.1753	907	0.0833	-
0.1755	908	0.0749	-
0.1757	909	0.0899	-
0.1759	910	0.114	-
0.1761	911	0.0818	-
0.1763	912	0.0948	-
0.1765	913	0.1052	-
0.1767	914	0.0807	-
0.1769	915	0.057	-
0.1771	916	0.0917	-
0.1773	917	0.0915	-
0.1775	918	0.1024	-
0.1777	919	0.0883	-
0.1778	920	0.0811	-
0.1780	921	0.1445	-
0.1782	922	0.1249	-
0.1784	923	0.0966	-
0.1786	924	0.0994	-
0.1788	925	0.1089	-
0.1790	926	0.1153	-
0.1792	927	0.1331	-
0.1794	928	0.0618	-
0.1796	929	0.0819	-
0.1798	930	0.1087	-
0.1800	931	0.075	-
0.1802	932	0.0584	-
0.1804	933	0.0901	-
0.1806	934	0.0731	-
0.1807	935	0.083	-
0.1809	936	0.0872	-
0.1811	937	0.1025	-
0.1813	938	0.0683	-
0.1815	939	0.0781	-
0.1817	940	0.078	-
0.1819	941	0.1169	-
0.1821	942	0.0976	-
0.1823	943	0.0974	-
0.1825	944	0.1273	-
0.1827	945	0.0874	-
0.1829	946	0.0717	-
0.1831	947	0.1235	-
0.1833	948	0.0543	-
0.1835	949	0.1003	-
0.1836	950	0.084	-
0.1838	951	0.0691	-
0.1840	952	0.1099	-
0.1842	953	0.1174	-
0.1844	954	0.1084	-
0.1846	955	0.0857	-
0.1848	956	0.0865	-
0.1850	957	0.0752	-
0.1852	958	0.1053	-
0.1854	959	0.0907	-
0.1856	960	0.1007	-
0.1858	961	0.0845	-
0.1860	962	0.0974	-
0.1862	963	0.0616	-
0.1864	964	0.0542	-
0.1865	965	0.0981	-
0.1867	966	0.0726	-
0.1869	967	0.0834	-
0.1871	968	0.0672	-
0.1873	969	0.1044	-
0.1875	970	0.0684	-
0.1877	971	0.0556	-
0.1879	972	0.0536	-
0.1881	973	0.0812	-
0.1883	974	0.1242	-
0.1885	975	0.0896	-
0.1887	976	0.0531	-
0.1889	977	0.0606	-
0.1891	978	0.0466	-
0.1893	979	0.1066	-
0.1894	980	0.0712	-
0.1896	981	0.0724	-
0.1898	982	0.126	-
0.1900	983	0.1349	-
0.1902	984	0.0959	-
0.1904	985	0.1136	-
0.1906	986	0.1064	-
0.1908	987	0.0935	-
0.1910	988	0.1161	-
0.1912	989	0.0789	-
0.1914	990	0.114	-
0.1916	991	0.0399	-
0.1918	992	0.1087	-
0.1920	993	0.0833	-
0.1922	994	0.1135	-
0.1923	995	0.0914	-
0.1925	996	0.1034	-
0.1927	997	0.0758	-
0.1929	998	0.0909	-
0.1931	999	0.0917	-
0.1933	1000	0.0508	0.7203
0.1935	1001	0.1225	-
0.1937	1002	0.069	-
0.1939	1003	0.0809	-
0.1941	1004	0.083	-
0.1943	1005	0.0675	-
0.1945	1006	0.0771	-
0.1947	1007	0.0832	-
0.1949	1008	0.0813	-
0.1951	1009	0.0834	-
0.1952	1010	0.1197	-
0.1954	1011	0.0782	-
0.1956	1012	0.09	-
0.1958	1013	0.0813	-
0.1960	1014	0.0738	-
0.1962	1015	0.0564	-
0.1964	1016	0.0889	-
0.1966	1017	0.0641	-
0.1968	1018	0.1254	-
0.1970	1019	0.1228	-
0.1972	1020	0.0931	-
0.1974	1021	0.097	-
0.1976	1022	0.0649	-
0.1978	1023	0.1319	-
0.1980	1024	0.0946	-
0.1981	1025	0.0519	-
0.1983	1026	0.0724	-
0.1985	1027	0.0967	-
0.1987	1028	0.113	-
0.1989	1029	0.0824	-
0.1991	1030	0.0747	-
0.1993	1031	0.0922	-
0.1995	1032	0.1382	-
0.1997	1033	0.0728	-
0.1999	1034	0.062	-
0.2001	1035	0.0837	-
0.2003	1036	0.0326	-
0.2005	1037	0.0999	-
0.2007	1038	0.0735	-
0.2009	1039	0.085	-
0.2010	1040	0.1034	-
0.2012	1041	0.0636	-
0.2014	1042	0.0942	-
0.2016	1043	0.0717	-
0.2018	1044	0.0912	-
0.2020	1045	0.0583	-
0.2022	1046	0.0701	-
0.2024	1047	0.0786	-
0.2026	1048	0.1018	-
0.2028	1049	0.079	-
0.2030	1050	0.0708	-
0.2032	1051	0.0514	-
0.2034	1052	0.101	-
0.2036	1053	0.1168	-
0.2038	1054	0.0767	-
0.2039	1055	0.1064	-
0.2041	1056	0.072	-
0.2043	1057	0.0972	-
0.2045	1058	0.1409	-
0.2047	1059	0.0711	-
0.2049	1060	0.0798	-
0.2051	1061	0.1026	-
0.2053	1062	0.097	-
0.2055	1063	0.0789	-
0.2057	1064	0.1005	-
0.2059	1065	0.0909	-
0.2061	1066	0.0951	-
0.2063	1067	0.0614	-
0.2065	1068	0.0675	-
0.2066	1069	0.0503	-
0.2068	1070	0.0692	-
0.2070	1071	0.0926	-
0.2072	1072	0.0454	-
0.2074	1073	0.062	-
0.2076	1074	0.0923	-
0.2078	1075	0.0648	-
0.2080	1076	0.0859	-
0.2082	1077	0.1024	-
0.2084	1078	0.0613	-
0.2086	1079	0.1057	-
0.2088	1080	0.1076	-
0.2090	1081	0.0768	-
0.2092	1082	0.0697	-
0.2094	1083	0.056	-
0.2095	1084	0.1053	-
0.2097	1085	0.0652	-
0.2099	1086	0.0888	-
0.2101	1087	0.0675	-
0.2103	1088	0.0715	-
0.2105	1089	0.1006	-
0.2107	1090	0.0936	-
0.2109	1091	0.0842	-
0.2111	1092	0.0762	-
0.2113	1093	0.0811	-
0.2115	1094	0.1012	-
0.2117	1095	0.0794	-
0.2119	1096	0.098	-
0.2121	1097	0.0586	-
0.2123	1098	0.0988	-
0.2124	1099	0.0583	-
0.2126	1100	0.0833	-
0.2128	1101	0.1621	-
0.2130	1102	0.097	-
0.2132	1103	0.0851	-
0.2134	1104	0.1017	-
0.2136	1105	0.0785	-
0.2138	1106	0.0511	-
0.2140	1107	0.1099	-
0.2142	1108	0.0943	-
0.2144	1109	0.1111	-
0.2146	1110	0.0908	-
0.2148	1111	0.0486	-
0.2150	1112	0.0803	-
0.2152	1113	0.0403	-
0.2153	1114	0.0923	-
0.2155	1115	0.115	-
0.2157	1116	0.0988	-
0.2159	1117	0.0898	-
0.2161	1118	0.0686	-
0.2163	1119	0.1158	-
0.2165	1120	0.1108	-
0.2167	1121	0.0599	-
0.2169	1122	0.0886	-
0.2171	1123	0.0697	-
0.2173	1124	0.0921	-
0.2175	1125	0.0721	-
0.2177	1126	0.1523	-
0.2179	1127	0.0569	-
0.2181	1128	0.0924	-
0.2182	1129	0.0749	-
0.2184	1130	0.0386	-
0.2186	1131	0.0952	-
0.2188	1132	0.0883	-
0.2190	1133	0.0769	-
0.2192	1134	0.0863	-
0.2194	1135	0.0578	-
0.2196	1136	0.0775	-
0.2198	1137	0.0701	-
0.2200	1138	0.0755	-
0.2202	1139	0.0932	-
0.2204	1140	0.0921	-
0.2206	1141	0.0825	-
0.2208	1142	0.1083	-
0.2210	1143	0.0657	-
0.2211	1144	0.1204	-
0.2213	1145	0.126	-
0.2215	1146	0.0694	-
0.2217	1147	0.0935	-
0.2219	1148	0.071	-
0.2221	1149	0.1243	-
0.2223	1150	0.1082	-
0.2225	1151	0.0859	-
0.2227	1152	0.1193	-
0.2229	1153	0.0647	-
0.2231	1154	0.058	-
0.2233	1155	0.0597	-
0.2235	1156	0.0587	-
0.2237	1157	0.1042	-
0.2239	1158	0.0818	-
0.2240	1159	0.0627	-
0.2242	1160	0.1219	-
0.2244	1161	0.0936	-
0.2246	1162	0.0624	-
0.2248	1163	0.0869	-
0.2250	1164	0.0875	-
0.2252	1165	0.1074	-
0.2254	1166	0.1104	-
0.2256	1167	0.093	-
0.2258	1168	0.1133	-
0.2260	1169	0.1136	-
0.2262	1170	0.0882	-
0.2264	1171	0.1277	-
0.2266	1172	0.0615	-
0.2268	1173	0.0848	-
0.2269	1174	0.0686	-
0.2271	1175	0.1363	-
0.2273	1176	0.0675	-
0.2275	1177	0.1276	-
0.2277	1178	0.0583	-
0.2279	1179	0.1294	-
0.2281	1180	0.0442	-
0.2283	1181	0.058	-
0.2285	1182	0.077	-
0.2287	1183	0.0751	-
0.2289	1184	0.0776	-
0.2291	1185	0.162	-
0.2293	1186	0.1567	-
0.2295	1187	0.0725	-
0.2297	1188	0.0742	-
0.2298	1189	0.0876	-
0.2300	1190	0.1033	-
0.2302	1191	0.1063	-
0.2304	1192	0.0819	-
0.2306	1193	0.0855	-
0.2308	1194	0.0849	-
0.2310	1195	0.04	-
0.2312	1196	0.0654	-
0.2314	1197	0.0748	-
0.2316	1198	0.1078	-
0.2318	1199	0.0732	-
0.2320	1200	0.0787	0.7248
0.2322	1201	0.072	-
0.2324	1202	0.0639	-
0.2326	1203	0.0717	-
0.2327	1204	0.0757	-
0.2329	1205	0.0621	-
0.2331	1206	0.0755	-
0.2333	1207	0.059	-
0.2335	1208	0.1252	-
0.2337	1209	0.0614	-
0.2339	1210	0.088	-
0.2341	1211	0.0746	-
0.2343	1212	0.0834	-
0.2345	1213	0.0853	-
0.2347	1214	0.0897	-
0.2349	1215	0.1294	-
0.2351	1216	0.0782	-
0.2353	1217	0.053	-
0.2355	1218	0.0982	-
0.2356	1219	0.1042	-
0.2358	1220	0.0713	-
0.2360	1221	0.0868	-
0.2362	1222	0.0694	-
0.2364	1223	0.0942	-
0.2366	1224	0.0895	-
0.2368	1225	0.0834	-
0.2370	1226	0.094	-
0.2372	1227	0.1198	-
0.2374	1228	0.0704	-
0.2376	1229	0.0917	-
0.2378	1230	0.0675	-
0.2380	1231	0.0962	-
0.2382	1232	0.0755	-
0.2384	1233	0.067	-
0.2385	1234	0.0525	-
0.2387	1235	0.103	-
0.2389	1236	0.0682	-
0.2391	1237	0.0941	-
0.2393	1238	0.0697	-
0.2395	1239	0.0993	-
0.2397	1240	0.1236	-
0.2399	1241	0.0697	-
0.2401	1242	0.0975	-
0.2403	1243	0.072	-
0.2405	1244	0.0726	-
0.2407	1245	0.0691	-
0.2409	1246	0.1279	-
0.2411	1247	0.0626	-
0.2413	1248	0.1112	-
0.2414	1249	0.097	-
0.2416	1250	0.1062	-
0.2418	1251	0.0711	-
0.2420	1252	0.0961	-
0.2422	1253	0.0714	-
0.2424	1254	0.0714	-
0.2426	1255	0.116	-
0.2428	1256	0.0786	-
0.2430	1257	0.0758	-
0.2432	1258	0.1066	-
0.2434	1259	0.0588	-
0.2436	1260	0.0577	-
0.2438	1261	0.0827	-
0.2440	1262	0.0605	-
0.2442	1263	0.0557	-
0.2443	1264	0.0695	-
0.2445	1265	0.0774	-
0.2447	1266	0.0863	-
0.2449	1267	0.1198	-
0.2451	1268	0.0954	-
0.2453	1269	0.1086	-
0.2455	1270	0.0942	-
0.2457	1271	0.0604	-
0.2459	1272	0.1112	-
0.2461	1273	0.0704	-
0.2463	1274	0.0504	-
0.2465	1275	0.061	-
0.2467	1276	0.0969	-
0.2469	1277	0.0842	-
0.2471	1278	0.0444	-
0.2472	1279	0.1237	-
0.2474	1280	0.0973	-
0.2476	1281	0.0958	-
0.2478	1282	0.0364	-
0.2480	1283	0.0674	-
0.2482	1284	0.077	-
0.2484	1285	0.0786	-
0.2486	1286	0.0747	-
0.2488	1287	0.0587	-
0.2490	1288	0.0877	-
0.2492	1289	0.0456	-
0.2494	1290	0.0664	-
0.2496	1291	0.0589	-
0.2498	1292	0.0563	-
0.2500	1293	0.0791	-
0.2501	1294	0.051	-
0.2503	1295	0.0716	-
0.2505	1296	0.0941	-
0.2507	1297	0.0678	-
0.2509	1298	0.0811	-
0.2511	1299	0.0661	-
0.2513	1300	0.0781	-
0.2515	1301	0.1025	-
0.2517	1302	0.0727	-
0.2519	1303	0.1244	-
0.2521	1304	0.1113	-
0.2523	1305	0.0562	-
0.2525	1306	0.063	-
0.2527	1307	0.0983	-
0.2529	1308	0.0679	-
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0.2706	1400	0.0933	0.7314
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0.3480	1800	0.0859	0.7324
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0.3514	1818	0.0752	-
0.3516	1819	0.0579	-
0.3518	1820	0.0564	-
0.3520	1821	0.0923	-
0.3522	1822	0.0358	-
0.3524	1823	0.0844	-
0.3526	1824	0.0372	-
0.3528	1825	0.0635	-
0.3530	1826	0.0922	-
0.3532	1827	0.0592	-
0.3534	1828	0.0354	-
0.3536	1829	0.1046	-
0.3538	1830	0.0789	-
0.3540	1831	0.0554	-
0.3541	1832	0.0816	-
0.3543	1833	0.0957	-
0.3545	1834	0.0812	-
0.3547	1835	0.051	-
0.3549	1836	0.0627	-
0.3551	1837	0.082	-
0.3553	1838	0.0841	-
0.3555	1839	0.0726	-
0.3557	1840	0.0839	-
0.3559	1841	0.0631	-
0.3561	1842	0.1145	-
0.3563	1843	0.0715	-
0.3565	1844	0.0649	-
0.3567	1845	0.0264	-
0.3569	1846	0.0625	-
0.3570	1847	0.0491	-
0.3572	1848	0.0589	-
0.3574	1849	0.0532	-
0.3576	1850	0.0468	-
0.3578	1851	0.0654	-
0.3580	1852	0.0833	-
0.3582	1853	0.0589	-
0.3584	1854	0.0632	-
0.3586	1855	0.0551	-
0.3588	1856	0.0839	-
0.3590	1857	0.0395	-
0.3592	1858	0.0995	-
0.3594	1859	0.0743	-
0.3596	1860	0.0873	-
0.3598	1861	0.0781	-
0.3599	1862	0.0678	-
0.3601	1863	0.0758	-
0.3603	1864	0.0681	-
0.3605	1865	0.0684	-
0.3607	1866	0.0747	-
0.3609	1867	0.0786	-
0.3611	1868	0.0858	-
0.3613	1869	0.0661	-
0.3615	1870	0.0474	-
0.3617	1871	0.0679	-
0.3619	1872	0.1241	-
0.3621	1873	0.0704	-
0.3623	1874	0.0981	-
0.3625	1875	0.0551	-
0.3627	1876	0.0438	-
0.3628	1877	0.1055	-
0.3630	1878	0.0774	-
0.3632	1879	0.0571	-
0.3634	1880	0.0548	-
0.3636	1881	0.0534	-
0.3638	1882	0.0579	-
0.3640	1883	0.0415	-
0.3642	1884	0.0988	-
0.3644	1885	0.0683	-
0.3646	1886	0.059	-
0.3648	1887	0.0636	-
0.3650	1888	0.0918	-
0.3652	1889	0.0373	-
0.3654	1890	0.0757	-
0.3656	1891	0.0747	-
0.3657	1892	0.1004	-
0.3659	1893	0.0553	-
0.3661	1894	0.0775	-
0.3663	1895	0.0538	-
0.3665	1896	0.0609	-
0.3667	1897	0.0688	-
0.3669	1898	0.1038	-
0.3671	1899	0.0877	-
0.3673	1900	0.0947	-
0.3675	1901	0.0598	-
0.3677	1902	0.0776	-
0.3679	1903	0.0813	-
0.3681	1904	0.0906	-
0.3683	1905	0.0746	-
0.3685	1906	0.0996	-
0.3686	1907	0.0441	-
0.3688	1908	0.1046	-
0.3690	1909	0.0783	-
0.3692	1910	0.0731	-
0.3694	1911	0.0452	-
0.3696	1912	0.0839	-
0.3698	1913	0.0629	-
0.3700	1914	0.0801	-
0.3702	1915	0.0993	-
0.3704	1916	0.0434	-
0.3706	1917	0.049	-
0.3708	1918	0.0719	-
0.3710	1919	0.0352	-
0.3712	1920	0.0653	-
0.3714	1921	0.0536	-
0.3715	1922	0.0639	-
0.3717	1923	0.0695	-
0.3719	1924	0.1135	-
0.3721	1925	0.117	-
0.3723	1926	0.1292	-
0.3725	1927	0.0622	-
0.3727	1928	0.0728	-
0.3729	1929	0.0556	-
0.3731	1930	0.0472	-
0.3733	1931	0.0793	-
0.3735	1932	0.0424	-
0.3737	1933	0.053	-
0.3739	1934	0.0567	-
0.3741	1935	0.0536	-
0.3743	1936	0.0529	-
0.3744	1937	0.0974	-
0.3746	1938	0.0991	-
0.3748	1939	0.0643	-
0.3750	1940	0.0541	-
0.3752	1941	0.0676	-
0.3754	1942	0.0709	-
0.3756	1943	0.0791	-
0.3758	1944	0.0827	-
0.3760	1945	0.0661	-
0.3762	1946	0.0617	-
0.3764	1947	0.0745	-
0.3766	1948	0.0522	-
0.3768	1949	0.0717	-
0.3770	1950	0.0625	-
0.3772	1951	0.1233	-
0.3773	1952	0.0532	-
0.3775	1953	0.0793	-
0.3777	1954	0.0748	-
0.3779	1955	0.0671	-
0.3781	1956	0.0871	-
0.3783	1957	0.0679	-
0.3785	1958	0.0577	-
0.3787	1959	0.0603	-
0.3789	1960	0.0626	-
0.3791	1961	0.0559	-
0.3793	1962	0.053	-
0.3795	1963	0.0747	-
0.3797	1964	0.0521	-
0.3799	1965	0.1195	-
0.3801	1966	0.0633	-
0.3802	1967	0.1211	-
0.3804	1968	0.0569	-
0.3806	1969	0.0825	-
0.3808	1970	0.0812	-
0.3810	1971	0.0957	-
0.3812	1972	0.0415	-
0.3814	1973	0.0546	-
0.3816	1974	0.0465	-
0.3818	1975	0.0503	-
0.3820	1976	0.103	-
0.3822	1977	0.046	-
0.3824	1978	0.0691	-
0.3826	1979	0.0687	-
0.3828	1980	0.0706	-
0.3829	1981	0.0542	-
0.3831	1982	0.0258	-
0.3833	1983	0.0674	-
0.3835	1984	0.0425	-
0.3837	1985	0.0623	-
0.3839	1986	0.0901	-
0.3841	1987	0.0662	-
0.3843	1988	0.066	-
0.3845	1989	0.0602	-
0.3847	1990	0.0406	-
0.3849	1991	0.0552	-
0.3851	1992	0.0736	-
0.3853	1993	0.0803	-
0.3855	1994	0.0452	-
0.3857	1995	0.0889	-
0.3858	1996	0.0757	-
0.3860	1997	0.0572	-
0.3862	1998	0.0516	-
0.3864	1999	0.0288	-
0.3866	2000	0.0659	0.7346
0.3868	2001	0.0655	-
0.3870	2002	0.0537	-
0.3872	2003	0.0744	-
0.3874	2004	0.0704	-
0.3876	2005	0.0457	-
0.3878	2006	0.0602	-
0.3880	2007	0.0917	-
0.3882	2008	0.0617	-
0.3884	2009	0.0605	-
0.3886	2010	0.0631	-
0.3887	2011	0.0837	-
0.3889	2012	0.0644	-
0.3891	2013	0.0585	-
0.3893	2014	0.047	-
0.3895	2015	0.0563	-
0.3897	2016	0.0598	-
0.3899	2017	0.0947	-
0.3901	2018	0.071	-
0.3903	2019	0.0757	-
0.3905	2020	0.074	-
0.3907	2021	0.0713	-
0.3909	2022	0.0843	-
0.3911	2023	0.0725	-
0.3913	2024	0.0557	-
0.3915	2025	0.1238	-
0.3916	2026	0.0627	-
0.3918	2027	0.0522	-
0.3920	2028	0.0831	-
0.3922	2029	0.0584	-
0.3924	2030	0.0852	-
0.3926	2031	0.0546	-
0.3928	2032	0.0416	-
0.3930	2033	0.1001	-
0.3932	2034	0.0698	-
0.3934	2035	0.0976	-
0.3936	2036	0.0394	-
0.3938	2037	0.0809	-
0.3940	2038	0.0826	-
0.3942	2039	0.0761	-
0.3944	2040	0.0581	-
0.3945	2041	0.0626	-
0.3947	2042	0.0449	-
0.3949	2043	0.0593	-
0.3951	2044	0.0523	-
0.3953	2045	0.0511	-
0.3955	2046	0.0824	-
0.3957	2047	0.0616	-
0.3959	2048	0.0581	-
0.3961	2049	0.0523	-
0.3963	2050	0.0418	-
0.3965	2051	0.0571	-
0.3967	2052	0.0498	-
0.3969	2053	0.0524	-
0.3971	2054	0.1018	-
0.3973	2055	0.0687	-
0.3974	2056	0.0549	-
0.3976	2057	0.0499	-
0.3978	2058	0.0569	-
0.3980	2059	0.0692	-
0.3982	2060	0.0584	-
0.3984	2061	0.06	-
0.3986	2062	0.0766	-
0.3988	2063	0.0557	-
0.3990	2064	0.0461	-
0.3992	2065	0.049	-
0.3994	2066	0.0706	-
0.3996	2067	0.0656	-
0.3998	2068	0.0517	-
0.4000	2069	0.0686	-
0.4002	2070	0.0799	-
0.4003	2071	0.0555	-
0.4005	2072	0.0866	-
0.4007	2073	0.05	-
0.4009	2074	0.0798	-
0.4011	2075	0.0464	-
0.4013	2076	0.0486	-
0.4015	2077	0.0531	-
0.4017	2078	0.0759	-
0.4019	2079	0.0425	-
0.4021	2080	0.0883	-
0.4023	2081	0.058	-
0.4025	2082	0.0876	-
0.4027	2083	0.0703	-
0.4029	2084	0.0661	-
0.4031	2085	0.0748	-
0.4032	2086	0.0634	-
0.4034	2087	0.085	-
0.4036	2088	0.064	-
0.4038	2089	0.0516	-
0.4040	2090	0.0936	-
0.4042	2091	0.046	-
0.4044	2092	0.0463	-
0.4046	2093	0.0578	-
0.4048	2094	0.0817	-
0.4050	2095	0.0864	-
0.4052	2096	0.0893	-
0.4054	2097	0.0764	-
0.4056	2098	0.0575	-
0.4058	2099	0.0522	-
0.4060	2100	0.0791	-
0.4061	2101	0.0613	-
0.4063	2102	0.0609	-
0.4065	2103	0.045	-
0.4067	2104	0.0678	-
0.4069	2105	0.0622	-
0.4071	2106	0.0576	-
0.4073	2107	0.1071	-
0.4075	2108	0.0812	-
0.4077	2109	0.0466	-
0.4079	2110	0.1424	-
0.4081	2111	0.076	-
0.4083	2112	0.0804	-
0.4085	2113	0.0619	-
0.4087	2114	0.0755	-
0.4089	2115	0.0715	-
0.4090	2116	0.0835	-
0.4092	2117	0.0901	-
0.4094	2118	0.048	-
0.4096	2119	0.1116	-
0.4098	2120	0.0753	-
0.4100	2121	0.0723	-
0.4102	2122	0.0739	-
0.4104	2123	0.0706	-
0.4106	2124	0.0669	-
0.4108	2125	0.0434	-
0.4110	2126	0.0631	-
0.4112	2127	0.037	-
0.4114	2128	0.0866	-
0.4116	2129	0.0652	-
0.4118	2130	0.0782	-
0.4119	2131	0.0569	-
0.4121	2132	0.0709	-
0.4123	2133	0.0819	-
0.4125	2134	0.0385	-
0.4127	2135	0.0732	-
0.4129	2136	0.0474	-
0.4131	2137	0.054	-
0.4133	2138	0.0433	-
0.4135	2139	0.0472	-
0.4137	2140	0.0657	-
0.4139	2141	0.085	-
0.4141	2142	0.0957	-
0.4143	2143	0.0638	-
0.4145	2144	0.0512	-
0.4147	2145	0.0697	-
0.4148	2146	0.0942	-
0.4150	2147	0.0519	-
0.4152	2148	0.079	-
0.4154	2149	0.0597	-
0.4156	2150	0.0673	-
0.4158	2151	0.0608	-
0.4160	2152	0.082	-
0.4162	2153	0.0534	-
0.4164	2154	0.0529	-
0.4166	2155	0.059	-
0.4168	2156	0.0541	-
0.4170	2157	0.0494	-
0.4172	2158	0.0559	-
0.4174	2159	0.0507	-
0.4176	2160	0.0789	-
0.4177	2161	0.0878	-
0.4179	2162	0.063	-
0.4181	2163	0.0477	-
0.4183	2164	0.0579	-
0.4185	2165	0.0734	-
0.4187	2166	0.0722	-
0.4189	2167	0.0755	-
0.4191	2168	0.083	-
0.4193	2169	0.0671	-
0.4195	2170	0.0715	-
0.4197	2171	0.0874	-
0.4199	2172	0.0899	-
0.4201	2173	0.0884	-
0.4203	2174	0.0546	-
0.4205	2175	0.1069	-
0.4206	2176	0.0637	-
0.4208	2177	0.0583	-
0.4210	2178	0.079	-
0.4212	2179	0.0774	-
0.4214	2180	0.069	-
0.4216	2181	0.0729	-
0.4218	2182	0.0564	-
0.4220	2183	0.0765	-
0.4222	2184	0.0568	-
0.4224	2185	0.0397	-
0.4226	2186	0.0649	-
0.4228	2187	0.0334	-
0.4230	2188	0.0909	-
0.4232	2189	0.0585	-
0.4234	2190	0.0671	-
0.4235	2191	0.0729	-
0.4237	2192	0.076	-
0.4239	2193	0.0672	-
0.4241	2194	0.0774	-
0.4243	2195	0.0663	-
0.4245	2196	0.0663	-
0.4247	2197	0.0577	-
0.4249	2198	0.0789	-
0.4251	2199	0.0918	-
0.4253	2200	0.0623	0.7356
0.4255	2201	0.078	-
0.4257	2202	0.0661	-
0.4259	2203	0.0312	-
0.4261	2204	0.0592	-
0.4263	2205	0.0315	-
0.4264	2206	0.1049	-
0.4266	2207	0.0731	-
0.4268	2208	0.0483	-
0.4270	2209	0.0929	-
0.4272	2210	0.0689	-
0.4274	2211	0.0678	-
0.4276	2212	0.0725	-
0.4278	2213	0.0544	-
0.4280	2214	0.0992	-
0.4282	2215	0.0382	-
0.4284	2216	0.0572	-
0.4286	2217	0.0742	-
0.4288	2218	0.0832	-
0.4290	2219	0.0502	-
0.4292	2220	0.0995	-
0.4293	2221	0.0667	-
0.4295	2222	0.0615	-
0.4297	2223	0.0792	-
0.4299	2224	0.0453	-
0.4301	2225	0.0597	-
0.4303	2226	0.051	-
0.4305	2227	0.0657	-
0.4307	2228	0.0549	-
0.4309	2229	0.0304	-
0.4311	2230	0.0633	-
0.4313	2231	0.0514	-
0.4315	2232	0.0297	-
0.4317	2233	0.0771	-
0.4319	2234	0.0566	-
0.4321	2235	0.0491	-
0.4322	2236	0.0375	-
0.4324	2237	0.086	-
0.4326	2238	0.0431	-
0.4328	2239	0.046	-
0.4330	2240	0.0737	-
0.4332	2241	0.0777	-
0.4334	2242	0.1034	-
0.4336	2243	0.0486	-
0.4338	2244	0.0319	-
0.4340	2245	0.0483	-
0.4342	2246	0.0628	-
0.4344	2247	0.0675	-
0.4346	2248	0.0681	-
0.4348	2249	0.05	-
0.4350	2250	0.0415	-
0.4351	2251	0.0953	-
0.4353	2252	0.0654	-
0.4355	2253	0.0365	-
0.4357	2254	0.0967	-
0.4359	2255	0.0833	-
0.4361	2256	0.0703	-
0.4363	2257	0.0625	-
0.4365	2258	0.0778	-
0.4367	2259	0.0644	-
0.4369	2260	0.0403	-
0.4371	2261	0.0291	-
0.4373	2262	0.0674	-
0.4375	2263	0.0532	-
0.4377	2264	0.0553	-
0.4379	2265	0.0353	-
0.4380	2266	0.0636	-
0.4382	2267	0.0489	-
0.4384	2268	0.0645	-
0.4386	2269	0.0942	-
0.4388	2270	0.1016	-
0.4390	2271	0.1042	-
0.4392	2272	0.0689	-
0.4394	2273	0.0357	-
0.4396	2274	0.0552	-
0.4398	2275	0.0894	-
0.4400	2276	0.0676	-
0.4402	2277	0.0575	-
0.4404	2278	0.0621	-
0.4406	2279	0.0478	-
0.4408	2280	0.0661	-
0.4409	2281	0.0553	-
0.4411	2282	0.0887	-
0.4413	2283	0.0702	-
0.4415	2284	0.0704	-
0.4417	2285	0.1034	-
0.4419	2286	0.0822	-
0.4421	2287	0.0749	-
0.4423	2288	0.0619	-
0.4425	2289	0.0489	-
0.4427	2290	0.0556	-
0.4429	2291	0.0809	-
0.4431	2292	0.0481	-
0.4433	2293	0.0627	-
0.4435	2294	0.0894	-
0.4436	2295	0.0588	-
0.4438	2296	0.0755	-
0.4440	2297	0.067	-
0.4442	2298	0.076	-
0.4444	2299	0.0572	-
0.4446	2300	0.0607	-
0.4448	2301	0.0522	-
0.4450	2302	0.086	-
0.4452	2303	0.0514	-
0.4454	2304	0.0642	-
0.4456	2305	0.0858	-
0.4458	2306	0.0423	-
0.4460	2307	0.0514	-
0.4462	2308	0.0374	-
0.4464	2309	0.0483	-
0.4465	2310	0.031	-
0.4467	2311	0.0913	-
0.4469	2312	0.0936	-
0.4471	2313	0.047	-
0.4473	2314	0.0524	-
0.4475	2315	0.0603	-
0.4477	2316	0.0651	-
0.4479	2317	0.104	-
0.4481	2318	0.0319	-
0.4483	2319	0.0655	-
0.4485	2320	0.1029	-
0.4487	2321	0.0915	-
0.4489	2322	0.0521	-
0.4491	2323	0.0821	-
0.4493	2324	0.0732	-
0.4494	2325	0.0523	-
0.4496	2326	0.0759	-
0.4498	2327	0.065	-
0.4500	2328	0.061	-
0.4502	2329	0.0679	-
0.4504	2330	0.0709	-
0.4506	2331	0.0508	-
0.4508	2332	0.0581	-
0.4510	2333	0.0647	-
0.4512	2334	0.0716	-
0.4514	2335	0.0592	-
0.4516	2336	0.0608	-
0.4518	2337	0.0571	-
0.4520	2338	0.054	-
0.4522	2339	0.0713	-
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0.5413	2800	0.0534	0.7387
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0.5500	2845	0.0702	-
0.5502	2846	0.0565	-
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0.5507	2849	0.0587	-
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0.9470	4899	0.0493	-
0.9472	4900	0.0803	-
0.9474	4901	0.0542	-
0.9476	4902	0.0389	-
0.9478	4903	0.0539	-
0.9480	4904	0.062	-
0.9482	4905	0.0577	-
0.9484	4906	0.0485	-
0.9486	4907	0.0335	-
0.9488	4908	0.068	-
0.9490	4909	0.0263	-
0.9492	4910	0.0802	-
0.9494	4911	0.0601	-
0.9495	4912	0.0751	-
0.9497	4913	0.0523	-
0.9499	4914	0.063	-
0.9501	4915	0.0592	-
0.9503	4916	0.033	-
0.9505	4917	0.052	-
0.9507	4918	0.0391	-
0.9509	4919	0.0586	-
0.9511	4920	0.0448	-
0.9513	4921	0.0573	-
0.9515	4922	0.0917	-
0.9517	4923	0.0419	-
0.9519	4924	0.0852	-
0.9521	4925	0.0545	-
0.9523	4926	0.0426	-
0.9524	4927	0.0577	-
0.9526	4928	0.0667	-
0.9528	4929	0.0703	-
0.9530	4930	0.0424	-
0.9532	4931	0.0655	-
0.9534	4932	0.0545	-
0.9536	4933	0.0582	-
0.9538	4934	0.0553	-
0.9540	4935	0.0665	-
0.9542	4936	0.0321	-
0.9544	4937	0.0764	-
0.9546	4938	0.0411	-
0.9548	4939	0.0523	-
0.9550	4940	0.0883	-
0.9552	4941	0.0433	-
0.9553	4942	0.0672	-
0.9555	4943	0.0435	-
0.9557	4944	0.0572	-
0.9559	4945	0.0638	-
0.9561	4946	0.0452	-
0.9563	4947	0.0634	-
0.9565	4948	0.0694	-
0.9567	4949	0.0506	-
0.9569	4950	0.0431	-
0.9571	4951	0.0519	-
0.9573	4952	0.0577	-
0.9575	4953	0.0401	-
0.9577	4954	0.0553	-
0.9579	4955	0.0959	-
0.9581	4956	0.0346	-
0.9582	4957	0.0501	-
0.9584	4958	0.0511	-
0.9586	4959	0.0426	-
0.9588	4960	0.057	-
0.9590	4961	0.0297	-
0.9592	4962	0.0348	-
0.9594	4963	0.0276	-
0.9596	4964	0.0698	-
0.9598	4965	0.0402	-
0.9600	4966	0.052	-
0.9602	4967	0.0441	-
0.9604	4968	0.0293	-
0.9606	4969	0.0426	-
0.9608	4970	0.0693	-
0.9610	4971	0.0263	-
0.9611	4972	0.0536	-
0.9613	4973	0.0442	-
0.9615	4974	0.0253	-
0.9617	4975	0.056	-
0.9619	4976	0.0363	-
0.9621	4977	0.0323	-
0.9623	4978	0.0417	-
0.9625	4979	0.0214	-
0.9627	4980	0.0727	-
0.9629	4981	0.0542	-
0.9631	4982	0.0363	-
0.9633	4983	0.0488	-
0.9635	4984	0.0252	-
0.9637	4985	0.0231	-
0.9639	4986	0.0546	-
0.9640	4987	0.0497	-
0.9642	4988	0.0439	-
0.9644	4989	0.0621	-
0.9646	4990	0.0489	-
0.9648	4991	0.0443	-
0.9650	4992	0.0506	-
0.9652	4993	0.05	-
0.9654	4994	0.0496	-
0.9656	4995	0.0453	-
0.9658	4996	0.0626	-
0.9660	4997	0.0588	-
0.9662	4998	0.0545	-
0.9664	4999	0.0851	-
0.9666	5000	0.0552	0.7409
0.9668	5001	0.0386	-
0.9669	5002	0.0619	-
0.9671	5003	0.0614	-
0.9673	5004	0.0396	-
0.9675	5005	0.0413	-
0.9677	5006	0.0713	-
0.9679	5007	0.0618	-
0.9681	5008	0.0363	-
0.9683	5009	0.0672	-
0.9685	5010	0.0718	-
0.9687	5011	0.0506	-
0.9689	5012	0.0508	-
0.9691	5013	0.0864	-
0.9693	5014	0.0314	-
0.9695	5015	0.0381	-
0.9697	5016	0.04	-
0.9698	5017	0.0915	-
0.9700	5018	0.0508	-
0.9702	5019	0.0387	-
0.9704	5020	0.067	-
0.9706	5021	0.0307	-
0.9708	5022	0.0482	-
0.9710	5023	0.0639	-
0.9712	5024	0.0467	-
0.9714	5025	0.044	-
0.9716	5026	0.0566	-
0.9718	5027	0.0592	-
0.9720	5028	0.0402	-
0.9722	5029	0.0864	-
0.9724	5030	0.0516	-
0.9725	5031	0.0497	-
0.9727	5032	0.0347	-
0.9729	5033	0.0656	-
0.9731	5034	0.0433	-
0.9733	5035	0.0387	-
0.9735	5036	0.0541	-
0.9737	5037	0.0494	-
0.9739	5038	0.0581	-
0.9741	5039	0.0517	-
0.9743	5040	0.053	-
0.9745	5041	0.0517	-
0.9747	5042	0.0592	-
0.9749	5043	0.0601	-
0.9751	5044	0.0455	-
0.9753	5045	0.0393	-
0.9754	5046	0.0567	-
0.9756	5047	0.0476	-
0.9758	5048	0.0596	-
0.9760	5049	0.0371	-
0.9762	5050	0.0857	-
0.9764	5051	0.0119	-
0.9766	5052	0.0783	-
0.9768	5053	0.046	-
0.9770	5054	0.0495	-
0.9772	5055	0.0493	-
0.9774	5056	0.0233	-
0.9776	5057	0.048	-
0.9778	5058	0.061	-
0.9780	5059	0.0369	-
0.9782	5060	0.0496	-
0.9783	5061	0.0536	-
0.9785	5062	0.0636	-
0.9787	5063	0.0667	-
0.9789	5064	0.0423	-
0.9791	5065	0.0567	-
0.9793	5066	0.0738	-
0.9795	5067	0.0475	-
0.9797	5068	0.0673	-
0.9799	5069	0.039	-
0.9801	5070	0.0456	-
0.9803	5071	0.0489	-
0.9805	5072	0.0525	-
0.9807	5073	0.0461	-
0.9809	5074	0.0632	-
0.9811	5075	0.0237	-
0.9812	5076	0.0478	-
0.9814	5077	0.063	-
0.9816	5078	0.0547	-
0.9818	5079	0.054	-
0.9820	5080	0.0407	-
0.9822	5081	0.0434	-
0.9824	5082	0.0742	-
0.9826	5083	0.038	-
0.9828	5084	0.049	-
0.9830	5085	0.044	-
0.9832	5086	0.0556	-
0.9834	5087	0.0462	-
0.9836	5088	0.0607	-
0.9838	5089	0.0404	-
0.9840	5090	0.049	-
0.9841	5091	0.0712	-
0.9843	5092	0.0616	-
0.9845	5093	0.0468	-
0.9847	5094	0.0581	-
0.9849	5095	0.0582	-
0.9851	5096	0.0492	-
0.9853	5097	0.04	-
0.9855	5098	0.0448	-
0.9857	5099	0.037	-
0.9859	5100	0.0485	-
0.9861	5101	0.0687	-
0.9863	5102	0.0415	-
0.9865	5103	0.0554	-
0.9867	5104	0.0307	-
0.9869	5105	0.0466	-
0.9870	5106	0.0282	-
0.9872	5107	0.0907	-
0.9874	5108	0.035	-
0.9876	5109	0.077	-
0.9878	5110	0.0595	-
0.9880	5111	0.0741	-
0.9882	5112	0.0558	-
0.9884	5113	0.0297	-
0.9886	5114	0.0611	-
0.9888	5115	0.0823	-
0.9890	5116	0.0339	-
0.9892	5117	0.0491	-
0.9894	5118	0.0333	-
0.9896	5119	0.0525	-
0.9898	5120	0.0763	-
0.9899	5121	0.0317	-
0.9901	5122	0.056	-
0.9903	5123	0.0465	-
0.9905	5124	0.0379	-
0.9907	5125	0.0397	-
0.9909	5126	0.0755	-
0.9911	5127	0.0476	-
0.9913	5128	0.0373	-
0.9915	5129	0.0461	-
0.9917	5130	0.0505	-
0.9919	5131	0.0372	-
0.9921	5132	0.0336	-
0.9923	5133	0.0336	-
0.9925	5134	0.0705	-
0.9927	5135	0.0525	-
0.9928	5136	0.0617	-
0.9930	5137	0.0495	-
0.9932	5138	0.0573	-
0.9934	5139	0.0536	-
0.9936	5140	0.0322	-
0.9938	5141	0.0402	-
0.9940	5142	0.0599	-
0.9942	5143	0.0731	-
0.9944	5144	0.0603	-
0.9946	5145	0.0649	-
0.9948	5146	0.0316	-
0.9950	5147	0.0534	-
0.9952	5148	0.0331	-
0.9954	5149	0.0661	-
0.9956	5150	0.0374	-
0.9957	5151	0.0509	-
0.9959	5152	0.0312	-
0.9961	5153	0.0526	-
0.9963	5154	0.0554	-
0.9965	5155	0.0555	-
0.9967	5156	0.0646	-
0.9969	5157	0.0539	-
0.9971	5158	0.027	-
0.9973	5159	0.0617	-
0.9975	5160	0.0503	-
0.9977	5161	0.0519	-
0.9979	5162	0.0619	-
0.9981	5163	0.0456	-
0.9983	5164	0.057	-
0.9985	5165	0.0358	-
0.9986	5166	0.0284	-
0.9988	5167	0.0454	-
0.9990	5168	0.0424	-
0.9992	5169	0.0434	-
0.9994	5170	0.0322	-
0.9996	5171	0.0384	-
0.9998	5172	0.059	-
1.0	5173	0.065	-

Framework Versions

Python: 3.13.7
Sentence Transformers: 5.1.0
Transformers: 4.55.2
PyTorch: 2.7.1+cu126
Accelerate: 1.10.0
Datasets: 3.6.0
Tokenizers: 0.21.4

Citation

BibTeX

Sentence Transformers

@inproceedings{reimers-2019-sentence-bert,
    title = "Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks",
    author = "Reimers, Nils and Gurevych, Iryna",
    booktitle = "Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing",
    month = "11",
    year = "2019",
    publisher = "Association for Computational Linguistics",
    url = "https://arxiv.org/abs/1908.10084",
}