/ Модель

Характеристики

Контекст
1 026 токенов
Параметры
152 млн
Архитектура
roberta · dense
Базовая модель
unixcoder-base-unimodal
Библиотека
sentence-transformers
Опубликована
11 июн 2025

SOCO-Java-UnixCoder-MNLR-Triplets-e10

ЭмбеддингиТекст → embedding

Дообученная на данных Java-кода модель Sentence Transformers для создания эмбеддингов, семантического поиска и сравнения текстов по смыслу.

100скачиваний за 30 дней0лайковвеса обновлены11 июн 2025

Бенчмарки

Как модель справилась с задачами пользователей ailist и что о ней публикуют открытые лидерборды

Тесты пользователейпока нет

Никто ещё не опубликовал тест этой модели. Соберите бенчмарк из своих задач — результат появится здесь.

  1. Добавьте модель в бенчмарк

    Вместе с другими моделями категории «Эмбеддинги» — сравнение идёт внутри одной категории.

  2. Опишите свои задачи

    Напишите запросы, при необходимости приложите файлы и эталонные ответы.

  3. Запустите и опубликуйте

    Модели ответят на каждую задачу, судья оценит ответы. Опубликованный результат появится на этой странице.

Публичные оценки

Из открытых лидербордов. Сравнивайте результаты одного теста при одинаковых условиях — отсутствие оценки не значит, что модель хуже.

В подключённых источниках результатов для этой модели пока нет.

Что умеет модель

Описание составлено по карточке модели и метаданным Hugging Face

buelfhood/SOCO-Java-UnixCoder-MNLR-Triplets-e10 — модель Sentence Transformers, дообученная на датасете soco_train_java на базе microsoft/unixcoder-base-unimodal. Она кодирует текстовые фрагменты в плотные векторы размерности 768; архитектура включает RoBERTa и усредняющий пулинг токенов. Модель предназначена для сравнения семантической близости текстов, семантического поиска, поиска парафраз, кластеризации и классификации текста, в том числе для работы с Java-кодом.

Для сравнения векторов используется косинусное сходство. README указывает максимальную длину последовательности 512 токенов, а метаданные — нативный контекст 1026 токенов. Модель принимает текст и выдаёт векторы; в карточке указано 151,6 млн параметров. Она подходит для построения эмбеддингов и ранжирования текстовых фрагментов по смысловой близости. Лицензия в предоставленных данных не указана.

Сценарии применения

  • поиск похожих фрагментов Java-кода
  • семантический поиск по исходному коду
  • поиск парафразов в текстах и описаниях кода
  • кластеризация фрагментов Java-кода по смыслу
  • классификация текстовых представлений кода

Ограничения

README указывает максимальную длину последовательности 512 токенов; модель обучена на датасете Java-кода, поэтому её пригодность для других языков программирования не подтверждена. Лицензия не указана в предоставленных данных.

Карточка модели

README от автора на Hugging Face, как он его опубликовал

Открыть на Hugging Face

SentenceTransformer based on microsoft/unixcoder-base-unimodal

This is a sentence-transformers model finetuned from microsoft/unixcoder-base-unimodal on the soco_train_java 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 Sources

Full Model Architecture

SentenceTransformer(
  (0): Transformer({'max_seq_length': 512, 'do_lower_case': False}) with Transformer model: RobertaModel 
  (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})
)

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("buelfhood/SOCO-Java-UnixCoder-MNLR-Triplets-e10")
# Run inference
sentences = [
    'import java.net.*;\nimport java.io.*;\n\npublic class BruteForce {\n  private String strUserName;\n  private String strURL;\n  private int iAttempts;\n  \n  public BruteForce(String strURL,String strUserName) {\n    this.strURL = strURL;\n    this.strUserName = strUserName;\n    this.iAttempts = 0 ;\n\n  }\n  \n  public String getPassword(){\n      URL u;\n      String result ="";\n      PassGenBrute PG = new PassGenBrute(3);\n      URLConnection uc;\n      String strPassword = new String();\n      String strEncode;\n      try{\n        while (result.compareTo("HTTP/1.1 200 OK")!=0){\n        \n          strEncode = PG.getNewPassword();\n          u = new URL(strURL);\n          uc = u.openConnection();\n          uc.setDoInput(true);\n          uc.setDoOutput(true);\n          strPassword = strEncode;\n          strEncode =  strUserName + ":" + strEncode;\n        \n          strEncode = new String(Base64.encode(strEncode.getBytes()));\n          uc.setRequestProperty("Authorization"," " + strEncode);\n        \n          result = uc.getHeaderField(0);\n          uc = null;\n          u = null;\n          iAttempts++;\n        }\n\n      }\n      catch (Exception me) {\n      System.out.println("MalformedURLException: "+me);\n      }\n      return(strPassword);\n  }\n  \n  public int getAttempts(){\n    return (iAttempts);\n  };\n  \n  public static void main (String arg[]){\n     timeStart = 0;\n     timeEnd = 0;\n    \n    if (arg.length == 2) {\n       BruteForce BF = new BruteForce(arg[0],arg[1]);\n       System.out.println("Processing ... ");\n       timeStart = System.currentTimeMillis();\n       \n       System.out.println("Password = " + BF.getPassword());\n       timeEnd = System.currentTimeMillis();\n       System.out.println("Total Time Taken = " + (timeEnd - timeStart) + " (msec)");\n       System.out.println("Total Attempts  = " + BF.getAttempts());\n    }\n    else {\n       System.out.println("[Usage] java BruteForce <URL> <USERNAME>");\n\n    }\n\n  }\n}\n\nclass PassGenBrute {\n  private char[] password;\n  public PassGenBrute(int lenght) {\n    password = new char[lenght];\n    for (int i = 0; i < lenght; i++){\n      password[i] = 65;\n    }\n    password[0]--;\n  }\n  \n  public String getNewPassword()\n    throws PasswordFailureException{\n    password[0]++;\n\n    try {\n      for (int i=0; i<password.length ; i++){\n        if (password[i] == 90) {\n          password[i] = 97;\n        }\n        if (password[i] > 122) {\n          password[i] = 65;\n          password[i+1]++;\n        }\n      }\n    }\n    catch (RuntimeException re){\n      throw new PasswordFailureException ();\n    }\n    return new String(password);\n  }\n}\n\nclass PasswordFailureException extends RuntimeException {\n\n  public PasswordFailureException() {\n  }\n}',
    'import java.net.*;\nimport java.io.*;\n\n\npublic class Dictionary {\n  private String strUserName;\n  private String strURL;\n  private String strDictPath;\n  private int iAttempts;\n\n    \n    public Dictionary(String strURL,String strUserName,String strDictPath) {\n    this.strURL = strURL;\n    this.strUserName = strUserName;\n    this.iAttempts = 0 ;\n    this.strDictPath = strDictPath;\n    }\n  \n\n  public String getPassword(){\n      URL u;\n      String result ="";\n      PassGenDict PG = new PassGenDict(3,strDictPath);\n      URLConnection uc;\n      String strPassword = new String();\n      String strEncode;\n        try{\n        while (result.compareTo("HTTP/1.1 200 OK")!=0){\n      \n          strEncode = PG.getNewPassword();\n          u = new URL(strURL);\n          uc = u.openConnection();\n          uc.setDoInput(true);\n          uc.setDoOutput(true);\n          strPassword = strEncode;\n          strEncode =  strUserName + ":" + strEncode;\n          \n        strEncode = new String(Base64.encode(strEncode.getBytes()));\n          uc.setRequestProperty("Authorization"," " + strEncode);\n            \n      result = uc.getHeaderField(0);\n          uc = null;\n          u = null;\n          iAttempts++;\n        }\n\n      }\n      catch (Exception me) {\n      System.out.println("MalformedURLException: "+me);\n      }\n      return(strPassword);\n  }\n \n   public int getAttempts(){\n    return (iAttempts);\n  };\n  \n  public static void  main(String arg[]){\n     timeStart = 0;\n     timeEnd = 0;\n    \n    if (arg.length == 3) {\n    Dictionary BF = new Dictionary(arg[0],arg[1],arg[2]);\n\n    System.out.println("Processing ... ");\n    timeStart = System.currentTimeMillis();\n    System.out.println("Password = " + BF.getPassword());\n    timeEnd = System.currentTimeMillis();\n    System.out.println("Total Time Taken = " + (timeEnd - timeStart) + " (msec)");\n    System.out.println("Total Attempts  = " + BF.getAttempts());\n    }\n    else {\n       System.out.println("[Usage] java BruteForce <URL> <USERNAME> <Dictionary path>");\n\n    }\n\n  }\n}\n\n\nclass PassGenDict {\n\n  private char[] password;\n  private String line;\n  int iPassLenght;\n  private BufferedReader inputFile;\n  public PassGenDict(int lenght, String strDictPath) {\n    try{\n      inputFile = new BufferedReader(new FileReader(strDictPath));\n    }\n    catch (Exception e){\n    }\n    iPassLenght = lenght;\n  }\n   \n public String getNewPassword()\n    throws PasswordFailureException{\n    try {\n      {\n        line = inputFile.readLine();\n      }while (line.length() != iPassLenght);\n\n    }\n    catch (Exception e){\n      throw new PasswordFailureException ();\n    }\n    return (line);\n  }\n}\n\nclass PasswordFailureException extends RuntimeException {\n\n  public PasswordFailureException() {\n  }\n}',
    'import java.util.*;\nimport java.io.*;\nimport javax.swing.text.html.*;\n\n\npublic class WatchDog {\n\n  public WatchDog() {\n\n  }\n  public static void main (String args[]) {\n    DataInputStream newin;\n\n    try{\n      System.out.println("ishti");\n\n      System.out.println("Downloading first copy");\n      Runtime.getRuntime().exec("wget http://www.cs.rmit.edu./students/ -O oldfile.html");\n      String[] cmdDiff = {"//sh", "-c", "diff oldfile.html newfile.html > Diff.txt"};\n      String[] cmdMail = {"//sh", "-c", "mailx -s \\"Diffrence\\" \\"@cs.rmit.edu.\\" < Diff.txt"};\n      while(true){\n            Thread.sleep(24*60*60*1000);\n            System.out.println("Downloading new copy");\n            Runtime.getRuntime().exec("wget http://www.cs.rmit.edu./students/ -O newfile.html");\n            Thread.sleep(2000);\n            Runtime.getRuntime().exec(cmdDiff);\n            Thread.sleep(2000);\n            newin = new DataInputStream( new FileInputStream( "Diff.txt"));\n            if (newin.readLine() != null){\n               System.out.println("Sending Mail");\n               Runtime.getRuntime().exec(cmdMail);\n               Runtime.getRuntime().exec("cp newfile.html oldfile.html");\n\n            }\n        }\n\n    }\n    catch(Exception e){\n      e.printStackTrace();\n    }\n\n    }\n\n}',
]
embeddings = model.encode(sentences)
print(embeddings.shape)
# [3, 768]

# Get the similarity scores for the embeddings
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [3, 3]

Training Details

Training Dataset

soco_train_java

  • Dataset: soco_train_java at 44ca4ff
  • Size: 38,664 training samples
  • Columns: anchor_code, positive_code, and negative_code
  • Approximate statistics based on the first 1000 samples:
    anchor_codepositive_codenegative_code
    typestringstringstring
    detailsmin: 51 tokensmean: 466.79 tokensmax: 512 tokensmin: 51 tokensmean: 467.59 tokensmax: 512 tokensmin: 51 tokensmean: 455.04 tokensmax: 512 tokens
  • Samples:
    anchor_codepositive_codenegative_code
    import java.io.;import java.net.;import java.misc.BASE64Encoder;public class Dictionary{ public Dictionary() {} public boolean fetchURL(String urlString,String username,String password) { StringWriter sw= new StringWriter(); PrintWriter pw = new PrintWriter(); try{ URL url=new URL(urlString); String userPwd= username+":"+password; BASE64Encoder encoder = new BASE64Encoder(); String encodedStr = encoder.encode (userPwd.getBytes()); System.out.println("Original String = " + userPwd); System.out.println("Encoded String = " + encodedStr); HttpURLConnection huc=(HttpURLConnection) url.openConnection(); huc.setRequestProperty( "Authorization"," "+encodedStr); InputStream content = (InputStream)huc.getInputStream(); BufferedReader in = new BufferedReader (new InputStreamReader (content)); String line; while ((line = in.readLine())...import java.io.;import java.net.;import java.misc.BASE64Encoder;public class BruteForce{ public BruteForce() {} public boolean fetchURL(String urlString,String username,String password) { StringWriter = new StringWriter(); PrintWriter pw = new PrintWriter(); try{ URL url=new URL(urlString); String userPwd= username+":"+password; BASE64Encoder encoder = new BASE64Encoder(); String encodedStr = encoder.encode (userPwd.getBytes()); System.out.println("Original String = " + userPwd); System.out.println("Encoded String = " + encodedStr); HttpURLConnection huc=(HttpURLConnection) url.openConnection(); huc.setRequestProperty( "Authorization"," "+encodedStr); InputStream content = (InputStream)huc.getInputStream(); BufferedReader in = new BufferedReader (new InputStreamReader (content)); String line; while ((line = in.readLine()) ...import java.net.;import java.io.;import java.util.*;public class Dictionary{ private static URL location; private static String user; private BufferedReader input; private static BufferedReader dictionary; private int maxLetters = 3; public Dictionary() { Authenticator.setDefault(new MyAuthenticator ()); startTime = System.currentTimeMillis(); boolean passwordMatched = false; while (!passwordMatched) { try { input = new BufferedReader(new InputStreamReader(location.openStream())); String line = input.readLine(); while (line != null) { System.out.println(line); line = input.readLine(); } input.close(); passwordMatched = true; } catch (ProtocolException e) { } catch (ConnectException e) { System.out.println("Failed connect"); } catch (IOException e) ...
    import java.io.InputStream;import java.util.Properties;import javax.naming.Context;import javax.naming.InitialContext;import javax.rmi.PortableRemoteObject;import javax.sql.DataSource;public class WatchdogPropertyHelper { private static Properties testProps; public WatchdogPropertyHelper() { } public static String getProperty(String pKey){ try{ initProps(); } catch(Exception e){ System.err.println("Error init'ing the watchddog Props"); e.printStackTrace(); } return testProps.getProperty(pKey); } private static void initProps() throws Exception{ if(testProps == null){ testProps = new Properties(); InputStream fis = WatchdogPropertyHelper.class.getResourceAsStream("/watchdog.properties"); testProps.load(fis); } }}import java.io.InputStream;import java.util.Properties;import javax.naming.Context;import javax.naming.InitialContext;import javax.rmi.PortableRemoteObject;import javax.sql.DataSource;public class BruteForcePropertyHelper { private static Properties bruteForceProps; public BruteForcePropertyHelper() { } public static String getProperty(String pKey){ try{ initProps(); } catch(Exception e){ System.err.println("Error init'ing the burteforce Props"); e.printStackTrace(); } return bruteForceProps.getProperty(pKey); } private static void initProps() throws Exception{ if(bruteForceProps == null){ bruteForceProps = new Properties(); InputStream fis = BruteForcePropertyHelper.class.getResourceAsStream("/bruteforce.properties"); bruteForceProps.load(fis); } }}import java.io.;import java.net.;import javax.swing.Timer;import java.awt.event.*;import javax.swing.JOptionPane;public class WatchDog { private static Process pro = null; private static Runtime run = Runtime.getRuntime(); public static void main(String[] args) { String cmd = null; try { cmd = new String("wget -O original.txt http://www.cs.rmit.edu./students/"); pro = run.exec(cmd); System.out.println(cmd); } catch (IOException e) { } class Watch implements ActionListener { BufferedReader in = null; String str = null; Socket socket; public void actionPerformed (ActionEvent event) { try { System.out.println("in Watch!"); String cmd = new String(); int ERROR = 1; cmd = new String("wget -O new.txt http://www.cs.rmit.edu./students/"); System.out.println(cmd); cmd = new String("diff original.txt new.txt"); pro = run.exec(cmd); System.out.println(cmd); in = new Buf...
    import java.net.; import java.io.; public class BruteForce {private static String password=" "; public static void main(String[] args) { String Result=""; if (args.length<1) { System.out.println("Error: Correct Format Filename, username e.g<>"); System.exit(1); } BruteForce bruteForce1 = new BruteForce(); Result=bruteForce1.Password("http://sec-crack.cs.rmit.edu./SEC/2/",args[0]); System.out.println("The Password of "+args[0]+"is.."+Result); } private String Password(String urlString,String username) { int cnt=0; t0 = System.currentTimeMillis(); for ( char ch = 'A'; ch <= 'z'; ch++ ) { if (ch>'Z' && ch<'a') { ch='a'; } for ( char ch1 = 'A'; ch1 <= 'z'; ch1++ ) { if (ch1>'Z' && ch1<'a') { ch1='a'; } for ( char ch2 = 'A'; ch2 <= 'z'; ch2++ ) { if (ch2>'Z' && ch2<'a') { ...import java.net.; import java.io.; import java.util.Date; public class Dictionary{private static String password=" "; public static void main(String[] args) { String Result=""; if (args.length<1) { System.out.println("Correct Format Filename username e.g<>"); System.exit(1); } Dictionary dicton1 = new Dictionary(); Result=dicton1.Dict("http://sec-crack.cs.rmit.edu./SEC/2/",args[0]); System.out.println("Cracked Password for The User "+args[0]+" The Password is.."+Result); } private String Dict(String urlString,String username) { int cnt=0; FileInputStream stream=null; DataInputStream word=null; try{ stream = new FileInputStream ("/usr/share/lib/dict/words"); word =new DataInputStream(stream); t0 = System.currentTimeMillis(); while (word.available() !=0) { password=word.readLine(); if (password.length()!=3) { continue; } System.out.print("...package java.httputils;import java.io.IOException;import java.net.MalformedURLException;import java.util.ArrayList;import java.util.Iterator;public class RunnableHttpRequest extends Thread{ protected String targetURL = "http://localhost:8080/"; protected int requestCount = 1; protected ArrayList timingList = new ArrayList(); protected HttpRequestClient req; Boolean finished = new Boolean(false); HttpRequestThreadPool pool; public void run() { try { for (int i = 0; i < getRequestCount() && !getFinished().booleanValue(); i++) { try { req = new HttpRequestClient(getTargetURL()); } catch (MalformedURLException e) { e.printStackTrace(); break; } catch (IOException e) { ...
  • Loss: MultipleNegativesRankingLoss with these parameters:
    {
        "scale": 20.0,
        "similarity_fct": "cos_sim"
    }
    

Evaluation Dataset

soco_train_java

  • Dataset: soco_train_java at 44ca4ff
  • Size: 4,296 evaluation samples
  • Columns: anchor_code, positive_code, and negative_code
  • Approximate statistics based on the first 1000 samples:
    anchor_codepositive_codenegative_code
    typestringstringstring
    detailsmin: 51 tokensmean: 465.86 tokensmax: 512 tokensmin: 51 tokensmean: 465.32 tokensmax: 512 tokensmin: 51 tokensmean: 458.73 tokensmax: 512 tokens
  • Samples:
    anchor_codepositive_codenegative_code
    import java.util.;import java.io.;public class WatchDog{ public static void main(String args[]) { Runtime rt1 = Runtime.getRuntime(); Process prss1= null; try { prss1 = rt1.exec("wget -R mpg,mpeg, --output-document=first.html http://www.cs.rmit.edu./students/"); }catch(java.io.IOException e){} MyWatchDogTimer w = new MyWatchDogTimer(); Timer time = new Timer(); time.schedule(w,864000000,864000000); }} import java.util.;import java.io.;public class MyTimer{ public static void main(String args[]) { Watchdog watch = new Watchdog(); Timer time = new Timer(); time.schedule(watch,864000000,864000000); }}import java.net.; import java.io.; import java.util.Vector;import java.util.Date;import java.security.; public class Dictionary { public static BufferedReader in; public static void main(String[] args) throws Exception { String baseURL = "http://sec-crack.cs.rmit.edu./SEC/2/index.php"; int count=0; Date date = new Date(); startTime=date.getTime(); int LIMITINMINUTES=45; int TIMELIMIT=LIMITINMINUTES1000*60; boolean timedOut=false; boolean found=false; Vector dictionary=new Vector(readWords()); System.out.println("Words in dictionary: "+dictionary.size()); while (found==false && timedOut==false && dictionary.elementAt(count)!=null) { Date endDate = new Date(); endTime=endDate.getTime(); if (endTime>(TIMELIMIT+startTime)){ System.out.println("Timed out"); timedOut=true; } String password = ""; ...
    import java.io.InputStream;import java.util.Properties;import javax.naming.Context;import javax.naming.InitialContext;import javax.rmi.PortableRemoteObject;import javax.sql.DataSource;public class MailsendPropertyHelper { private static Properties testProps; public MailsendPropertyHelper() { } public static String getProperty(String pKey){ try{ initProps(); } catch(Exception e){ System.err.println("Error init'ing the watchddog Props"); e.printStackTrace(); } return testProps.getProperty(pKey); } private static void initProps() throws Exception{ if(testProps == null){ testProps = new Properties(); InputStream fis = MailsendPropertyHelper.class.getResourceAsStream("/mailsend.properties"); testProps.load(fis); } }}import java.io.InputStream;import java.util.Properties;import javax.naming.Context;import javax.naming.InitialContext;import javax.rmi.PortableRemoteObject;import javax.sql.DataSource;public class BruteForcePropertyHelper { private static Properties bruteForceProps; public BruteForcePropertyHelper() { } public static String getProperty(String pKey){ try{ initProps(); } catch(Exception e){ System.err.println("Error init'ing the burteforce Props"); e.printStackTrace(); } return bruteForceProps.getProperty(pKey); } private static void initProps() throws Exception{ if(bruteForceProps == null){ bruteForceProps = new Properties(); InputStream fis = BruteForcePropertyHelper.class.getResourceAsStream("/bruteforce.properties"); bruteForceProps.load(fis); } }}import java.net.;import java.io.;import java.Ostermiller.util.;import java.util.;public class MyClient2 implements Runnable{ private String hostname; private int port; private String filename; private Socket s; private int n; private InputStream sin; private OutputStream sout; private int dif; private String myPassword; private int status; private int myTime; private BruteForce myMaster; public MyClient2(BruteForce bf , int num, int myPort, String password) { hostname = new String("sec-crack.cs.rmit.edu."); port = myPort; status = 0; myTime = 0; myPassword = password; filename = new String("/SEC/2/"); myMaster = 0; n = num; dif = 0; } public getDif() { return dif; } public int getStatus() { return status; } public void run() { String inputLine; String[] tokens = new String[5]; int i; myTime = 0; ...
    import java.io.;import java.net.;import java.util.*;public class Dictionary{ public static void main (String args[]) { Calendar cal = Calendar.getInstance(); Date now=cal.getTime(); double startTime = now.getTime(); String password=getPassword(startTime); System.out.println("The password is " + password); } public static String getPassword(double startTime) { String password=""; int requests=0; try { FileReader fRead = new FileReader("/usr/share/lib/dict/words"); BufferedReader buf = new BufferedReader(fRead); password=buf.readLine(); while (password != null) { if (password.length()<=3) { requests++; if (testPassword(password, startTime, requests)) return password; } password = buf.readLine(); } } catch (IOException ioe) { } return password; } private static boolean testPassword(String password, double startTime, int requests) { try { U...import java.io.;import java.net.;import java.util.*;public class BruteForce{ public static void main(String args[]) { Calendar cal = Calendar.getInstance(); Date now=cal.getTime(); double startTime = now.getTime(); String password=getPassword(startTime); System.out.println("The password is " + password); } public static String getPassword(double startTime) { char first, second, third; String password=""; int requests=0; for (int i=65; i<123; i++) { requests++; first = (char) i; password = first + ""; if (testPassword(password, startTime, requests)) return password; for (int j=65; j<123; j++) { requests++; second = (char) j; password = first + "" + second; if (testPassword(password, startTime, requests)) return password; for (int k=65; k<123; k++) { requests++; third = (char) k; password = first + "" + second + "" + third; if (test...import java.misc.BASE64Encoder;import java.misc.BASE64Decoder;import java.io.;import java.net.;import java.util.*;public class Dictionary { public Dictionary(String url, String dictionaryFile) { try{ this.url = url; this.dictionaryPath = dictionaryFile; InputStream fis = new FileInputStream(this.dictionaryPath); dict = new BufferedReader(new InputStreamReader(fis)); }catch(IOException ioe){ System.out.println("Error opening dictionary file:\n" +ioe); } } private String url = null; private String dictionaryPath = null; private BufferedReader dict = null; private int attempts = 0; private int passwordSize = 3; public void setPasswordSize(int size){ this.passwordSize = size; } public String getNextPassword()throws IOException{ String line = dict.readLine(); while(line!=null&&line.length()!=this.passwordSize ) line = dict.readLine(); return line; } publ...
  • Loss: MultipleNegativesRankingLoss with these parameters:
    {
        "scale": 20.0,
        "similarity_fct": "cos_sim"
    }
    

Training Hyperparameters

Non-Default Hyperparameters

  • eval_strategy: steps
  • per_device_train_batch_size: 16
  • per_device_eval_batch_size: 16
  • num_train_epochs: 1
  • warmup_ratio: 0.1
  • fp16: True
  • batch_sampler: no_duplicates

All Hyperparameters

  • overwrite_output_dir: False
  • do_predict: False
  • eval_strategy: steps
  • prediction_loss_only: True
  • per_device_train_batch_size: 16
  • per_device_eval_batch_size: 16
  • 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: 5e-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: False
  • fp16: True
  • 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: False
  • dataloader_num_workers: 0
  • dataloader_prefetch_factor: None
  • past_index: -1
  • disable_tqdm: False
  • remove_unused_columns: True
  • label_names: None
  • load_best_model_at_end: False
  • 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
  • optim_args: None
  • adafactor: False
  • group_by_length: False
  • length_column_name: length
  • ddp_find_unused_parameters: None
  • 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
  • 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
  • eval_use_gather_object: False
  • average_tokens_across_devices: False
  • prompts: None
  • batch_sampler: no_duplicates
  • multi_dataset_batch_sampler: proportional

Training Logs

EpochStepTraining LossValidation Loss
0.04141001.01760.3260
0.08272000.3730.3260
0.12413000.3760.2971
0.16554000.34190.3132
0.20695000.34020.2920
0.24826000.34410.2975
0.28967000.33370.3587
0.33108000.34320.2844
0.37249000.33380.2810
0.413710000.33490.2990
0.455111000.31720.2890
0.496512000.31910.2753
0.537913000.31220.2780
0.579214000.31690.2759
0.620615000.31370.2736
0.662016000.31070.2651
0.703417000.29810.2752
0.744718000.31730.2687
0.786119000.29960.2692
0.827520000.28770.2695
0.868821000.29530.2752
0.910222000.2890.2694
0.951623000.27410.2651
0.993024000.33580.2605

Framework Versions

  • Python: 3.11.11
  • Sentence Transformers: 4.1.0
  • Transformers: 4.52.4
  • PyTorch: 2.8.0.dev20250319+cu128
  • Accelerate: 1.7.0
  • Datasets: 3.6.0
  • Tokenizers: 0.21.1

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",
}

MultipleNegativesRankingLoss

@misc{henderson2017efficient,
    title={Efficient Natural Language Response Suggestion for Smart Reply},
    author={Matthew Henderson and Rami Al-Rfou and Brian Strope and Yun-hsuan Sung and Laszlo Lukacs and Ruiqi Guo and Sanjiv Kumar and Balint Miklos and Ray Kurzweil},
    year={2017},
    eprint={1705.00652},
    archivePrefix={arXiv},
    primaryClass={cs.CL}
}

Как запустить

На своей GPU в ailist. Цена — по текущим предложениям провайдеров

GPU в ailist

Универсальный рантайм · sentence-transformers

Можно запустить

Подбираем GPU…

Класс архитектуры
RobertaModel
Ревизия весов
9e51e85

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