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
Maximum Sequence Length:
512 tokens
Output Dimensionality:
768 dimensions
Similarity Function:
Cosine Similarity
Training Dataset:
Model Sources
Full Model Architecture
SentenceTransformer(
(0): Transformer({'max_seq_length': 512, 'do_lower_case': False}) with Transformer model: 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-Softmax-PairClass" )
# Run inference
sentences = [
'\n\n\n\n\n\n\nimport java.io.*;\nimport java.lang.Object;\n\npublic class WatchDog\n{\n\n \n public static void main(String args[])throws Exception\n {\n Process p1,p2,p3,p4,p5;\n \n for(;;)\n {\n \n\n String s1[] = {"/usr/local//tcsh", "-c", "mailx -s \\"Part 2-Assignment2 \\" < change.html"};\n String s2[] = {"/usr/local//tcsh", "-c", "mv www.cs.rmit.edu./images/*.* predir"};\n String s3[] = {"/usr/local//tcsh", "-c", "mv www.cs.rmit.edu./students/*.* predir"};\n String s4[] = {"/usr/local//tcsh", "-c", "mv www.cs.rmit.edu./images/*.* postdir"};\n String s5[] = {"/usr/local//tcsh", "-c", "mv www.cs.rmit.edu./students/*.* postdir"};\n String s6[] = {"/usr/local//tcsh", "-c", "diff copy1 copy2 > diff.html"};\n\n\n Process p = Runtime.getRuntime().exec("mkdir predir");\n p.waitFor();\n Process p1 = Runtime.getRuntime().exec("mkdir postdir");\n p1.waitFor();\n\n \n p1 = Runtime.getRuntime().exec("wget -p --convert-links http://www.cs.rmit.edu./students/");\n p1.waitFor();\n\n Process q2 = Runtime.getRuntime().exec(s2);\n q2.waitFor();\n Process q3 = Runtime.getRuntime().exec(s3);\n q2.waitFor();\n\n \n Thread.sleep(86400000);\n\n p3 = Runtime.getRuntime().exec("wget -p --convert-links http://www.cs.rmit.edu./students/");\n p3.waitFor();\n\n Process q4 = Runtime.getRuntime().exec(s4);\n q4.waitFor();\n Process q5 = Runtime.getRuntime().exec(s5);\n q5.waitFor();\n\n try\n {\n String str;\n p4 = Runtime.getRuntime().exec(s6);\n DataInputStream inp1 = new DataInputStream(p4.getInputStream());\n p4.waitFor();\n \n System.out.println("The WatchDog - Returns 0 if change else 1");\n System.out.println("Value :" + p4.exitValue());\n try\n {\n while ((str = inp1.readLine()) != null)\n {\n System.out.println(str);\n }\n }\n catch (IOException e)\n {\n System.exit(0);\n }\n\n }\n catch(FileNotFoundException e )\n {\n e.printStackTrace();\n }\n\n BufferedReader in = new BufferedReader(new FileReader("change.html"));\n \n if (in.readLine() != null)\n {\n\n try\n {\n String str1;\n p5 = Runtime.getRuntime().exec(s1);\n DataInputStream inp2 = new DataInputStream(p5.getInputStream());\n p5.waitFor();\n try\n {\n while ((str1 = inp2.readLine()) != null)\n {\n System.out.println(str1);\n }\n }\n catch (IOException e1)\n {\n System.exit(0);\n }\n\n }\n catch(FileNotFoundException exp)\n {\n exp.printStackTrace();\n }\n\n }\n }\n }\n}\n\n' ,
'import java.io.*;\nimport java.util.*;\nimport java.net.*;\nimport java.net.Authenticator;\n\n\npublic class BruteForce\n{\n\n\tprivate String result ="";\n\n\tpublic class customAuthenticator extends Authenticator {\n\t public customAuthenticator(String passwd)\n {\n this.pass = passwd;\n }\n\n\t protected PasswordAuthentication getPasswordAuthentication()\n {\n\t return new PasswordAuthentication("",pass.toCharArray());\n }\n public String pass;\n }\n\n public BruteForce() {\n java.util.Date d = java.util.Calendar.getInstance().getTime();\n System.out.println(d.toString());\n\t\tchar words[] = { \'a\',\'b\',\'c\',\'d\',\'e\', \'f\', \'g\', \'h\', \'i\',\'j\',\'k\',\'l\',\'m\',\'n\',\'o\',\'p\',\n\t\t\t\t\t\t\t \'q\',\'r\',\'s\',\'t\',\'u\',\'v\',\'w\',\'x\',\'y\',\'z\', \'A\',\'B\',\'C\',\'D\',\'E\', \'F\', \'G\',\n\t\t\t\t\t\t\t \'H\', \'I\',\'J\',\'K\',\'L\',\'M\',\'N\',\'O\',\'P\',\'Q\',\'R\',\'S\',\'T\',\'U\',\'V\',\'W\',\'X\',\'Y\',\'Z\'};\n\n\t\tString record = null;\n\n\n\n String url = "http://sec-crack.cs.rmit.edu./SEC/2/";\n\n\t\tchar pass[] = {\'x\',\'x\',\'x\'};\n\t\tint count=1;\n\t\tString passwd=new String();\n HttpURLConnection connection = null;\n URL u = null;\n\n try\n {\n u = new URL(url);\n\n }\n catch (MalformedURLException e)\n {\n }\n\n for(int a=0;a<words.length;a++)\n {\n for(int b=0;b<words.length;b++)\n {\n for(int c=0;c<words.length;c++)\n {\n pass[0]=words[a];\n pass[1]=words[b];\n pass[2]=words[c];\n passwd=passwd.copyValueOf(pass,0,3);\n System.out.println(count+ " ) " + passwd);\n count++;\n try\n {\n\n connection = (HttpURLConnection) u.openConnection();\n Authenticator.setDefault(new customAuthenticator(passwd));\n\n if (connection.getResponseCode()!=401)\n {\n System.out.print("The password is : "+passwd);\n System.out.println();\n java.util.Date d1 = java.util.Calendar.getInstance().getTime();\n System.out.println(d1.toString());\n System.out.println("\\ntime taken in seconds:"+ (d1.getTime() - d.getTime())/1000+"\\n");\n\n System.exit(0);\n }\n else\n {\n }\n connection.disconnect();\n }\n catch (IOException e)\n {\n System.out.println(e);\n }\n }\n }\n }\n }\n\n\tpublic static void main(String[] args)\n\t{\n\n\n\t\tBruteForce = new BruteForce();\n\t}\n}' ,
'import java.Object;\nimport java.io.*;\nimport java.String;\nimport java.util.*;\n\nclass Dictionary{\n\n public static void main(String [] args){\n try\n {\n Date d = new Date();\n String line1="";\n String ps="";\n String file1 = "words.txt";\n String file2 = "index.html";\n String endline="Authorization failed.";\n String [] cmd = new String[4];\n cmd[0] = "wget";\n cmd[1] = "--http-user=";\n cmd[3] = "http://sec-crack.cs.rmit.edu./SEC/2/";\n\n FileReader fr1 = new FileReader(file1);\n BufferedReader in1 = new BufferedReader(fr1);\n while((line1 = in1.readLine())!=null)\n {\n try{\n cmd[2] = connect(line1);\n Runtime.getRuntime().exec(cmd);\n if(line1.length()==3)\n ps = line1;\n System.out.println(cmd[2]);\n File f = new File(file2);\n if(f.exists())\n {\n System.out.println("password: " + ps);\n break;\n }\n }\n catch(IOException ex)\n {\n System.out.println("hello1");\n }\n\n }\n Date end = new Date();\n System.out.println(d.toString());\n System.out.println(end.toString());\n System.out.println("Seconds: " + (end.getSeconds()-d.getSeconds()));\n }\n\n catch(IOException e)\n {\n System.out.println("hello,didnt find file.");\n }\n }\n public static String connect(String str1)\n {\n char data[] = {\'-\',\'-\',\'h\',\'t\',\'t\',\'p\',\'-\',\'p\',\'a\',\'s\',\'s\',\'w\',\'d\',\'=\'};\n String str = new String(data);\n return str + str1;\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.shape)
# [3, 3]
Training Details
Training Dataset
soco_train_java
Dataset:
soco_train_java
at
44ca4ff
Size: 30,069 training samples
Columns:
label
,
text_1
, and
text_2
Approximate statistics based on the first 1000 samples:
label
text_1
text_2
type
int
string
string
details
min: 51 tokens
mean: 448.9 tokens
max: 512 tokens
min: 54 tokens
mean: 464.58 tokens
max: 512 tokens
Samples:
label
text_1
text_2
0
import java.io.
;
import java.net.
;
import java.security.
;
import java.math.
;
import java.
;
import java.util.
;
public class WatchDog
{
public static FileWriter out = null, output = null;
public static void main (String args[]) throws Exception {
Socket socket = null;
DataOutputStream = null;
BufferedReader bf = null, fr = null;
String retVal = null, StatusCode = "HTTP/1.1 200 OK";
int dirty = 0, count = 0;
stime = System.currentTimeMillis();
System.out.println("Detecting the changes...");
try {
URL yahoo = new URL("
http://www.cs.rmit.edu./students/
");
URLConnection yc = yahoo.openConnection();
BufferedReader in = new BufferedReader(
new InputStreamReader(
yc.getInputStream()));
String inputLine;
try {
out = new FileWriter("newstudent");
while ((inp...
import java.util.*;
public class Cracker
{
private char[] letters = {'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'};
private Vector v;
public Cracker()
{
v = new Vector( 52);
}
public void loadLetters()
{
int i;
for( i = 0; i < letters.length; i++)
{
String s = new StringBuffer().append( letters[i]).toString();
v.add( s);
}
}
public Vector getVictor()
{
return ;
}
public void loadPairs()
{
int i,j;
for( i = 0; i < letters.length - 1; i++)
{
for( j = i + 1; j < letters.length; j++)
{
String s1 = new StringBuffer().append( letters[i]).append( letters[j]).toString();
String s2 = new StringBuffer().append( letters[j]).append( letters[i])....
0
import java.net.
;
import java.
;
import java.io.*;
import java.util.GregorianCalendar;
public class BruteForce
{
private char passwd_Array []={'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','G','H','I','J','K','L','M','N','O','P','Q','R','S','T','U','V',
'W','X','Y','Z','0','1','2','3','4','5','6','7','8','9',''','.','&'};
private int num=1;
public void crackAddress() throws Exception
{
String line,username="",passwd;
int flag=0;
Runtime run = Runtime.getRuntime();
GregorianCalendar =new GregorianCalendar();
for(int k=0;k {
for(int j=0;j {
for(int i=0;i {
passwd =(new StringBuffer().append(passwd_Array[i]).append(passwd_Array[j]).append(passwd_Array[k])).toString();
System....
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 DictionaryPropertyHelper {
private static Properties dictProps;
public DictionaryPropertyHelper() {
}
public static String getProperty(String pKey){
try{
initProps();
}
catch(Exception e){
System.err.println("Error init'ing the dictionary Props");
e.printStackTrace();
}
return dictProps.getProperty(pKey);
}
private static void initProps() throws Exception{
if(dictProps == null){
dictProps = new Properties();
InputStream fis =
DictionaryPropertyHelper.class.getResourceAsStream("/dictionary.properties");
dictProps.load(fis);
}
}
}
0
import java.net.
;
import java.io.
;
import java.util.Date;
public class BruteForce {
private URL url;
private HttpURLConnection connection;
private static String[] lowerCase = {"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"};
private static String[] upperCase = {"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"};
private String userPassword, base64_userPassword;
private static char wrongPass;
public BruteForce() {
wrongPass = 'Y';
}
public char determinePass(String inputURL, String userName, String passWord){
try{
url = new URL(inputURL);
connection = (HttpURLConnection)url.openConnection();
this.getEncoded(userName,...
import java.io.*;
class WatchDog {
public static void main(String args[]) {
if (args.length<1)
{
System.out.println("Correct Format Filename email address <
[email protected]
.> of the recordkeeper");
System.exit(1);
}
while (true)
{
FileInputStream stream=null;
DataInputStream word=null;
String input=" ";
try {
String ls_str;
Process ls_proc = Runtime.getRuntime().exec("wget
http://www.cs.rmit.edu./students
");
try {
Thread.sleep(2000);
}catch (Exception e) {
System.err.println("Caught ThreadException: " +e.getMessage());
}
String[] cmd = {"//sh","-c", "diff Index2.html index.html >report.txt "};
ls_proc = Runtime.getRuntime().exec(cmd);
try {
Thread.sleep(2000);
}catch (Exception e) {
System.err.println("Caught ThreadException: " +e.getMessage());
}
if (ls_proc.exitValue()==2)
{
System.out.println("The file was checked for f...
Loss:
SoftmaxLoss
Evaluation Dataset
soco_train_java
Dataset:
soco_train_java
at
44ca4ff
Size: 3,342 evaluation samples
Columns:
label
,
text_1
, and
text_2
Approximate statistics based on the first 1000 samples:
label
text_1
text_2
type
int
string
string
details
min: 51 tokens
mean: 451.02 tokens
max: 512 tokens
min: 54 tokens
mean: 464.38 tokens
max: 512 tokens
Samples:
label
text_1
text_2
0
import java.io.
;
import java.net.
;
public class BruteForce
{
private String urlString = "
http://sec-crack.cs.rmit.edu./SEC/2/index.php
";
private static String password;
private static int length;
private static int t_counter;
private static int f_counter;
private static int cases;
private static int respCode;
public BruteForce()
{
Authenticator.setDefault(new BruteForceAuthenticator());
t_counter = 0;
f_counter = 0;
cases = 0;
}
public static void main (String[] args)
{
BruteForce bf = new BruteForce();
String file = " ";
while(respCode != 200)
{
file = bf.fetchURL();
}
System.out.println("Number of attempts: " + t_counter);
System.out.println("Password: " + password);
System.out.println(file);
}
private String fetchURL()
{
...
import java.io.IOException;
import java.net.
;
import java.io.
;
import java.util.*;
public class BruteForce
{
static String strLetter[];
static URL url = null;
static URLConnection urlConnection;
static InputStream urlStream;
static String strExceptionPassword[];
static int intExceptionCount = -1;
static int intNumberOfConnectionAttempts = 0;
static String username = "";
static String strLastPasswordTested;
public static void main (String args[])
{
Calendar calStart;
Calendar calFinish;
Date dateStart;
Date dateFinish;
lngStart;
lngFinish;
calStart = new GregorianCalendar();
dateStart = calStart.getTime();
lngStart = dateStart.getTime();
System.out.println();
System.out.println();
populateArray();
boolean boolPasswordFound...
0
import java.util.
;
import java.net.
;
import java.io.
;
import misc.BASE64Encoder;
import javax.swing.
;
public class ConnectionThread extends Thread
{
private String url;
private URL currURL;
private URLConnection conn;
private HoldSharedData sharedData;
private int noOfThread;
private int batch;
public ConnectionThread( String pageURL, int wThread,
int newBatch, HoldSharedData data )
{
super();
url = pageURL;
noOfThread = wThread;
batch = newBatch;
sharedData = data;
}
public void run()
{
try
{
currURL = new URL( url );
for( int i = noOfThread*batch; (i < (noOfThread + 1)*batch) &&
(i < sharedData.getPwdCount()); i ++ )
{
String pwd = sharedData.getPasswordAt( i );
conn = currURL.openConnection();
...
import java.net.
;
import java.io.
;
public class EmailClient
{
private String sender, recipient, hostName;
public EmailClient(String nSender, String nRecipient, String nHost)
{
sender = nSender;
recipient = nRecipient;
hostName = nHost;
}
public void sendMail(String subject, String message)
{
try
{
Socket s1=null;
InputStream is = null;
OutputStream os = null;
DataOutputStream = null;
s1 = new Socket(hostName,25);
is = s1.getInputStream();
os = s1.getOutputStream();
bd = new DataOutputStream(os);
BufferedReader response = new BufferedReader(new InputStreamReader(is));
bd.writeBytes("HELO "+ InetAddress.getLocalHost().getHostName() + "\r\n");
waitForSuccessResponse(response);
bd.writeBytes("MAIL FROM:"+sender+"\n");
waitForSuccessResponse(response);
bd.writeBytes("RCPT :"+recipient+"\n");
waitForSuccessResponse(response);
bd.writeBytes("data"+"\n");
bd.writeBytes("Subject:"+subject+"\n");
bd.writeBy...
0
import java.io.
;
import java.util.
;
import java.text.
;
import java.net.
;
public class LoginAttempt
{
private String urlName = "
http://sec-crack.cs.rmit.edu./SEC/2/index.php
";
private String userName = "";
private String connectString = "";
public LoginAttempt()
{
}
public LoginAttemptResults tryPasswords(String [] casedPasswords, int passwordsTried)
{
boolean foundPassword = false;
LoginAttemptResults results = new LoginAttemptResults();
for( i = 0; i < casedPasswords.length; i++)
{
passwordsTried++;
try
{
URL targetURL;
HttpURLConnection connection;
targetURL = new URL(urlName);
connection = (HttpURLConnection) targetURL.openConnection();
connectString = userName + ":" + casedPasswords[i].trim();
connectString = new targetURL.misc.BASE64Encoder().encode(connectString.getByt...
package java.httputils;
import java.io.BufferedInputStream;
import java.io.IOException;
import java.net.HttpURLConnection;
import java.net.MalformedURLException;
import java.net.URL;
import java.net.URLConnection;
import java.sql.Timestamp;
public class HttpRequestClient
{
protected URL serverURL;
protected java.net.HttpURLConnection httpConnection;
protected Timestamp start;
protected Timestamp end;
protected StringBuffer content = new StringBuffer();
protected int millis;
protected int code;
public HttpRequestClient(String url)
throws MalformedURLException, IOException
{
setServerURL(new URL(url));
setStart(new Timestamp(System.currentTimeMillis()));
setHttpConnection(
(HttpURLConnection)this.getServerURL().openConnection());
doRequest();
}
public HttpRequestClient()
{
super();
}
public int doRequest()
throws IOException
{...
Loss:
SoftmaxLoss
Training Hyperparameters
Non-Default Hyperparameters
eval_strategy
: steps
per_device_train_batch_size
: 16
per_device_eval_batch_size
: 16
num_train_epochs
: 1
warmup_ratio
: 0.1
fp16
: True
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
: 5e-05
weight_decay
: 0.0
adam_beta1
: 0.9
adam_beta2
: 0.999
adam_epsilon
: 1e-08
max_grad_norm
: 1.0
num_train_epochs
: 1
max_steps
: -1
lr_scheduler_type
: linear
lr_scheduler_kwargs
: {}
warmup_ratio
: 0.1
warmup_steps
: 0
log_level
: passive
log_level_replica
: warning
log_on_each_node
: True
logging_nan_inf_filter
: True
save_safetensors
: True
save_on_each_node
: False
save_only_model
: False
restore_callback_states_from_checkpoint
: False
no_cuda
: False
use_cpu
: False
use_mps_device
: False
seed
: 42
data_seed
: None
jit_mode_eval
: False
use_ipex
: False
bf16
: False
fp16
: True
fp16_opt_level
: O1
half_precision_backend
: auto
bf16_full_eval
: False
fp16_full_eval
: False
tf32
: None
local_rank
: 0
ddp_backend
: None
tpu_num_cores
: None
tpu_metrics_debug
: False
debug
: []
dataloader_drop_last
: False
dataloader_num_workers
: 0
dataloader_prefetch_factor
: None
past_index
: -1
disable_tqdm
: False
remove_unused_columns
: True
label_names
: None
load_best_model_at_end
: False
ignore_data_skip
: False
fsdp
: []
fsdp_min_num_params
: 0
fsdp_config
: {'min_num_params': 0, 'xla': False, 'xla_fsdp_v2': False, 'xla_fsdp_grad_ckpt': False}
fsdp_transformer_layer_cls_to_wrap
: None
accelerator_config
: {'split_batches': False, 'dispatch_batches': None, 'even_batches': True, 'use_seedable_sampler': True, 'non_blocking': False, 'gradient_accumulation_kwargs': None}
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
: proportional
Training Logs
Epoch
Step
Training Loss
Validation Loss
0.0532
100
0.0842
0.0238
0.1064
200
0.0111
0.0203
0.1596
300
0.0061
0.0253
0.2128
400
0.0243
0.0203
0.2660
500
0.0311
0.0209
0.3191
600
0.0212
0.0203
0.3723
700
0.0137
0.0237
0.4255
800
0.03
0.0199
0.4787
900
0.0104
0.0195
0.5319
1000
0.0141
0.0201
0.5851
1100
0.0214
0.0186
0.6383
1200
0.0151
0.0192
0.6915
1300
0.0219
0.0185
0.7447
1400
0.0152
0.0184
0.7979
1500
0.0082
0.0192
0.8511
1600
0.0128
0.0182
0.9043
1700
0.0155
0.0172
0.9574
1800
0.0102
0.0174
Framework Versions
Python: 3.11.13
Sentence Transformers: 4.1.0
Transformers: 4.52.4
PyTorch: 2.6.0+cu124
Accelerate: 1.7.0
Datasets: 3.6.0
Tokenizers: 0.21.1
Citation
BibTeX
Sentence Transformers and SoftmaxLoss
@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",
}