SOCO-Java-codeberta-mnrl-triplets-ep1-bs16-lr2e-05-split0.1

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 Type: Sentence Transformer
• Base model: huggingface/CodeBERTa-small-v1 <!-- at revision e93b5898cff07f03f1c1c09cde284d1b85962363 -->
• Maximum Sequence Length: 512 tokens
• Output Dimensionality: 768 dimensions
• Similarity Function: Cosine Similarity
• Training Dataset:
  • soco_train_java

<!-- - **Language:** Unknown --> <!-- - **License:** Unknown -->

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': 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-mnrl-triplets-ep1-bs16-lr2e-05-split0.1")
# 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)
# tensor([[ 1.0000,  0.9306, -0.0710],
#         [ 0.9306,  1.0000, -0.0281],
#         [-0.0710, -0.0281,  1.0000]])

<!-- ### Direct Usage (Transformers) <details><summary>Click to see the direct usage in Transformers</summary> </details> --> <!-- ### Downstream Usage (Sentence Transformers) You can finetune this model on your own dataset. <details><summary>Click to expand</summary> </details> --> <!-- ### Out-of-Scope Use *List how the model may foreseeably be misused and address what users ought not to do with the model.* --> <!-- ## Bias, Risks and Limitations *What are the known or foreseeable issues stemming from this model? You could also flag here known failure cases or weaknesses of the model.* --> <!-- ### Recommendations *What are recommendations with respect to the foreseeable issues? For example, filtering explicit content.* -->

Training Details

Training Dataset

soco_train_java

• Dataset: soco_train_java at 44ca4ff
• Size: 38,664 training samples
• Columns: <code>anchor_code</code>, <code>positive_code</code>, and <code>negative_code</code>
• Approximate statistics based on the first 1000 samples:

  	anchor_code	positive_code	negative_code
  type	string	string	string
  details	<ul><li>min: 51 tokens</li><li>mean: 466.15 tokens</li><li>max: 512 tokens</li></ul>	<ul><li>min: 51 tokens</li><li>mean: 467.06 tokens</li><li>max: 512 tokens</li></ul>	<ul><li>min: 51 tokens</li><li>mean: 454.38 tokens</li><li>max: 512 tokens</li></ul>

• Samples:

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

• Loss: <code>MultipleNegativesRankingLoss</code> with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim",
      "gather_across_devices": false
  }
  

Evaluation Dataset

soco_train_java

• Dataset: soco_train_java at 44ca4ff
• Size: 4,296 evaluation samples
• Columns: <code>anchor_code</code>, <code>positive_code</code>, and <code>negative_code</code>
• Approximate statistics based on the first 1000 samples:

  	anchor_code	positive_code	negative_code
  type	string	string	string
  details	<ul><li>min: 51 tokens</li><li>mean: 465.22 tokens</li><li>max: 512 tokens</li></ul>	<ul><li>min: 51 tokens</li><li>mean: 464.66 tokens</li><li>max: 512 tokens</li></ul>	<ul><li>min: 51 tokens</li><li>mean: 458.05 tokens</li><li>max: 512 tokens</li></ul>

• Samples:

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

• Loss: <code>MultipleNegativesRankingLoss</code> with these parameters:

  {
      "scale": 20.0,
      "similarity_fct": "cos_sim",
      "gather_across_devices": false
  }
  

Training Hyperparameters

Non-Default Hyperparameters

• per_device_train_batch_size: 16
• learning_rate: 2e-05
• num_train_epochs: 1
• warmup_ratio: 0.1
• fp16: True
• batch_sampler: no_duplicates

All Hyperparameters

<details><summary>Click to expand</summary>

• 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: 2e-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
• 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
• project: huggingface
• trackio_space_id: trackio
• 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: no
• 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: True
• prompts: None
• batch_sampler: no_duplicates
• multi_dataset_batch_sampler: proportional
• router_mapping: {}
• learning_rate_mapping: {}

</details>

Training Logs

Framework Versions

• Python: 3.12.3
• Sentence Transformers: 5.1.1
• Transformers: 4.57.0
• PyTorch: 2.8.0+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",
}

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}
}

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