SOCO-C-GraphCodeBERT-ST

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 <!-- at revision 2b0488a7bb0eefc7041f1bb2cad1ab26b0da269d -->
• Maximum Sequence Length: 512 tokens
• Output Dimensionality: 768 dimensions
• Similarity Function: Cosine Similarity

<!-- - **Training Dataset:** Unknown --> <!-- - **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-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]])

<!-- ### 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

Unnamed Dataset

• Size: 3,081 training samples
• Columns: <code>sentence_0</code>, <code>sentence_1</code>, and <code>label</code>
• Approximate statistics based on the first 1000 samples:

  	sentence_0	sentence_1	label
  type	string	string	int
  details	<ul><li>min: 194 tokens</li><li>mean: 471.45 tokens</li><li>max: 512 tokens</li></ul>	<ul><li>min: 194 tokens</li><li>mean: 460.74 tokens</li><li>max: 512 tokens</li></ul>	<ul><li>0: ~99.10%</li><li>1: ~0.90%</li></ul>

• Samples:

  sentence_0	sentence_1	label
  <code><br><br>#include<stdio.h><br>#include<strings.h><br>#include<stdlib.h><br>#include<ctype.h><br>#define MAX_SIZE 255<br><br><br><br>int genchkpwd(char *chararray,char *passwd)<br> {<br> int i,j,k,success;<br> char str1[MAX_SIZE],str2[MAX_SIZE],tempstr[MAX_SIZE];<br> <br> <br> strcpy(str1,"wget --http-user= --http-passwd=");<br> strcpy(str2," http://sec-crack.cs.rmit.edu./SEC/2/");<br> strcpy(tempstr,"");<br><br><br><br> for(i=0;i<52;i++)<br> {<br> passwd[0]= chararray[i];<br> strcat(tempstr,str1);<br> strcat(tempstr,passwd);<br> strcat(tempstr,str2);<br> printf("SENDING REQUEST AS %s\n",tempstr);<br> success=system (tempstr);<br> if (success==0)<br> return 1;<br> else<br> strcpy(tempstr,""); <br> strcpy(passwd,"");<br> } <br><br><br><br> for(i=0;i<52;i++)<br> {<br> passwd[0]= chararray[i];<br> for(j=0;j<52;j++)<br> {<br> passwd[1]=chararray[j];<br> strcat(tempstr,str1);<br> strcat(tempstr,passwd);<br> strcat(tempstr,str2);<br> printf("SENDING REQUEST AS %s\n",tempstr);<br> success=syste...</code>	<code>#include<stdio.h><br>#include<stdlib.h><br>#include<strings.h><br>#include<ctype.h><br>#include <sys/time.h><br>#define OneBillion 1e9<br><br><br>int ()<br>{ int startTime, stopTime, final;<br> int i,j,k;<br> int pass,count=0;<br> 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'};<br> char [4];<br> char url1[100];<br> char url2[100];<br><br> startTime = time();<br> for (i=0;i<=52;i++)<br> {<br><br> for (j=0;j<=52;j++)<br> {<br><br> for(k=0;k<=52;k++)<br><br> { <br> count++;<br> [0] = arr[i];<br> [1] = arr[j];<br> [2] = arr[k];<br> [3] = '\0';<br><br><br> printf("Checking for the word :%s\n",);<br> strcpy(url1 ,"wget --http-user= --http-passwd=");<br> strcpy(url2 , " -nv -o output http://sec-crack.cs.rmit.edu./SEC/2/ ");<br> strcat(url1,);<br> strcat(url1,url2);<br><br><br> pass = system(url1);<br> if (pass == 0)<br> { <br> ...</code>	<code>0</code>
  <code>#include<stdio.h><br>#include<string.h><br>#include<strings.h><br>#include<stdlib.h><br>#include<sys/time.h><br><br>()<br>{<br> int i,m,k,count=0;<br> FILE* diction;<br> FILE* log;<br> char s[30];<br> char pic[30];<br> char add[1000];<br> char end[100];<br> time_t ,finish;<br> double ttime;<br> <br> strcpy(add,"wget --http-user= --http-passwd=");<br> strcpy( end,"-nv -o logd http://sec-crack.cs.rmit.edu./SEC/2/");<br> diction=fopen("/usr/share/lib/dict/words","r");<br> =time(NULL);<br> while(fgets(s,100,diction)!=NULL) <br> { <br> printf("%s\n",s);<br> for(m=40,k=0;k<(strlen(s)-1);k++,m++)<br> {<br> add[m]=s[k];<br> }<br> add[m++]=' ';<br> for(i=0;i<50;i++,m++)<br> {<br> add[m]=end[i];<br> }<br> add[m]='\0';<br> <br> system(add);<br> count++;<br> log=fopen("logd","r");<br> fgets(pic,100,log);<br> printf("%s",pic);<br> if(strcmp(pic,"Authorization failed.\n")!=0) <br> {<br> finish=time(NULL);<br> ttime=difftime(,finish);<br> printf( "\n The time_var take:%f/n The of passwords tried is %d\n",ttime,count);<br> break;<br> }<br> fclose(log);<br> }<br><br>}<br></code>	<code>#include <string.h><br>#include <stdlib.h><br>#include <stdio.h><br>#include <fcntl.h><br>#include <unistd.h><br>#include <sys/wait.h><br>#include <sys/time.h><br><br><br><br>char* joinMe(char* t, char* t2)<br>{<br> char* result;<br> int length = 0;<br> int j = 0;<br> int counter = 0;<br> <br> length = strlen(t) + strlen(t2) + 1;<br> <br> result = malloc(sizeof(char) * length);<br> <br> <br> for(j = 0; j<strlen(t); j++)<br> {<br> result[j] = t[j];<br> }<br><br> <br> for(j = strlen(t); j<length; j++)<br> {<br> result[j] = t2[counter];<br> counter++;<br> }<br> <br> <br> result[length-1] = '\0';<br><br> return result;<br>}<br><br><br>void check(char** smallcmd)<br>{<br> int pid = 0;<br> int status;<br><br> <br> if( (pid = fork()) == 0)<br> {<br> <br> execvp(smallcmd[0],smallcmd);<br> }<br> else<br> {<br> <br> while(wait(&status) != pid);<br> }<br>}<br><br>int (void)<br>{<br> int i = 0, j = 0, k = 0;<br> char** smallcmd;<br> char* [] = {"a","b","c","d","e","f","g","h","i","j","k","l","m","n","o","p","q","r","s","t","u","v","w",<br> "x","y","z","A","B","C","D","E","F","G","H","I","J","K","L","M","N","O","P","Q","R","S","T",<br> "U","V","W","X","Y","Z"};<br> int count ...</code>	<code>0</code>
  <code><br># include <stdio.h><br># include <stdlib.h><br># include <string.h><br># include <strings.h><br># include <sys/time.h><br><br>int ()<br>{<br><br> char s[30];<br> char c[100];<br> char usr[50];<br> char url[100];<br> char charcopy[200];<br> <br> int starting,ending; <br> int totaltime;<br><br> FILE* fp;<br> FILE* f;<br> <br> int i,j,k;<br> <br> fp = fopen("/usr/share/lib/dict/words","r"); <br> strcpy(charcopy, "wget --http-user= --http-passwd="); <br> strcpy(url, "-nv -o logfile1 http://sec-crack.cs.rmit.edu./SEC/2/"); <br> <br> starting=time(); <br><br> <br> while(!feof(fp))<br> {<br> j=40;<br> fgets(c,30,fp); <br> <br> <br> for(i=0;i<strlen(c);i++) <br> {<br> charcopy[j]=c[i];<br> j++;<br> }<br> charcopy[j-1] = ' ';<br> <br> for(i=0;i<strlen(url);i++) <br> {<br> charcopy[j]=url[i]; <br> j++;<br> }<br> <br> charcopy[j] = '\0';<br><br> printf("%s\n",c);<br> system(charcopy);<br> <br> f = fopen("logfile1","r"); <br> <br> if(f != (FILE*) NULL)<br> {<br> <br> fgets(s,30,f); <br> if(strcmp(s,"Authorization failed.\n")!=0) <br> {<br> ending=time();<br> totaltime=ending-starti...</code>	<code>#include<stdio.h><br>#include<strings.h><br>#include<stdlib.h><br>#include<ctype.h><br><br>#define MINSIZE 26<br>#define MAXSIZE 52<br>#define MAX_SIZE 255<br><br><br>int CrackPasswd(char *passwd)<br>{<br> int flag;<br> char string1[MAX_SIZE],string2[MAX_SIZE],[MAX_SIZE];<br> <br> strcpy(string1,"wget http://sec-crack.cs.rmit.edu./SEC/2/");<br> strcpy(string2," --http-user= --http-passwd='");<br> strcpy(,"");<br> <br> strcat(, string1);<br> strcat(, string2);<br> strcat(, passwd);<br> strcat(, "'");<br> printf("Sending Request as %s\n",);<br> flag = system();<br> <br> if (flag == 0)<br> {<br> printf("\nPassword is %s\n",passwd);<br> return 1;<br> }<br> <br> strcpy(,""); <br> return 0;<br>} <br><br><br>int BruteForce(char *CharArray)<br>{<br> int i, j, k;<br> char passwd[MAX_SIZE];<br> <br> for (i=0;i<MAX_SIZE;i++) <br> passwd[i] = '\0';<br> <br> for(i=0;i<MAXSIZE;i++)<br> {<br> passwd[0] = CharArray[i];<br> if(CrackPasswd(passwd) == 1)<br> return 1; <br> }<br><br> for(i=0;i<MAXSIZE;i++)<br> {<br> passwd[0] = CharArray[i];<br> ...</code>	<code>0</code>

• Loss: <code>BatchAllTripletLoss</code>

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

<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: 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: {}

</details>

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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