scr17
/

fyp

@@ -8,124 +8,69 @@ tags:
 - loss:CosineSimilarityLoss
 base_model: sentence-transformers/all-MiniLM-L6-v2
 widget:
-- source_sentence: Machine Learning Engineer. We are looking for a Machine Learning
-    Engineer to join our growing team and work on exciting projects.. Energy officer
-    later analysis.; Represent doctor must amount first new.; Standard store herself
-    buy.; Attorney later road drive high could new.; Public near program language..
-    Docker; Azure; Linux; JavaScript; React. SQL; DevOps; Linux; Python; TensorFlow;
-    C#
   sentences:
-  - Backend Developer. Baby consider fall go. Year role financial firm physical prepare
-    wear financial. Mission training research me mouth home partner.. Article bad
-    style.; On see attorney traditional price reflect tough.; Pay training I.; President
-    the these.; Mouth close debate world nor sport security.. Docker; C#; Flask; NoSQL;
-    Django; Node.js; Cybersecurity. Operation low rich drive.; Receive middle likely.
-  - Cybersecurity Analyst. What light amount modern security receive. Build book street
-    challenge.. Light choice TV.; Beat piece usually day bar cost.; True government
-    sea training door.; Popular who also situation step.. React; TypeScript; NoSQL;
-    Deep Learning; C#; TensorFlow; Django. Hand behavior market religious four might
-    size.; Middle central knowledge fast rise all really.; Become fight argue.; Able
-    hundred force response.
-  - AI Researcher. Rather well administration police seat stand. Red produce yeah
-    site run fly purpose face.. Yourself address might expect his budget bill.; Later
-    top focus guess occur hour.; Have turn quickly help well its.; However research
-    visit.; Commercial building especially capital system each.. Python; Machine Learning;
-    Terraform; Deep Learning; Java; Cybersecurity; Linux. At exactly story letter
-    dream.; Paper experience control author like president girl education.; Education
-    fund hear side mother.; Who then more start various draw along.
-- source_sentence: Full Stack Developer. We are looking for a Full Stack Developer
-    to join our growing team and work on exciting projects.. Threat store center scene
-    country can quite.; Campaign today degree.; Data when risk citizen common.; Current
-    few environment social about page.. Penetration Testing; Java; Node.js; Docker;
-    JavaScript. SQL; AWS; CI/CD; JavaScript; Machine Learning; C#
   sentences:
-  - Data Scientist. Protect usually song treat front he. Thought style successful
-    suddenly role voice also. When federal hear eat investment.. Campaign environmental
-    none federal.; These poor conference cause capital.; Start rule third ok.; Network
-    age job charge benefit various.; Go almost cost great.. DevOps; React; Cybersecurity;
-    SQL; Linux; Penetration Testing; Docker. Rise it interest try else attorney.;
-    Always everybody fight actually.; Nearly west score go.; Its if less system during.
-  - Frontend Developer. Student knowledge catch trip specific structure activity be.
-    Listen reveal member.. Nature radio serve into.; Speak old side green second travel
-    clear.; Family instead chance entire despite site.; Approach form wonder wrong
-    billion four blood source.. Flask; NoSQL; Azure; Cybersecurity; Node.js; Java;
-    C#. Recently how hot.; Push yourself step word they.; Forward per difficult chance
-    general ten.
-  - AI Researcher. Start ball civil set although. Or environmental place boy because
-    chance.. Within value ahead.; Class democratic candidate arm.; Region represent
-    great note nothing recently low.; Way live according follow walk doctor loss..
-    Azure; TensorFlow; JavaScript; Machine Learning; CI/CD; Kubernetes; Terraform.
-    Here other next over down seem yourself model.; Discover natural generation traditional
-    suddenly management.; Discuss food majority professor.
-- source_sentence: AI Researcher. We are looking for a AI Researcher to join our growing
-    team and work on exciting projects.. Improve hard street ask anyone accept history.;
-    Heavy a through old nothing various.; Fight clearly safe available similar hot.;
-    Movie body accept society heavy six.; Note close bad detail cell.. NoSQL; Azure;
-    Terraform; Flask; Django. Deep Learning; NoSQL; Terraform; Python; CI/CD; Flask
   sentences:
-  - Frontend Developer. Model purpose most maintain price guess Republican. Manager
-    sure stuff beyond win. Wall type process.. Pattern million task so approach simple.;
-    Letter as tell tough price.; Tree ahead person building report likely see have.;
-    Thought name current hair avoid.. TensorFlow; Azure; DevOps; Machine Learning;
-    C#; React; NoSQL. Possible say son sister.; Nothing good later pressure board
-    stand.; Fly beat green picture stage.; Look sell same off else nature second.
-  - IT Project Manager. South although pass final number pick while. Others run contain
-    book. Bag single mission try true.. Power water determine go step common.; Student
-    people mission author stay.; Cup here father age age food.. React; Flask; Terraform;
-    DevOps; SQL; Docker; NoSQL. Marriage free security his before wear concern.; Future
-    great east use.; Senior plan require bit court often.
-  - Mobile App Developer. Until player time big design ten. Out billion money follow
-    bill so technology. Thousand north particularly difficult. Check social into decade
-    thing minute ahead.. Send memory ago full director although morning.; Relationship
-    sign front actually forget personal cold name.; Near debate notice their.. SQL;
-    AWS; C#; Node.js; Cybersecurity; Machine Learning; React. Produce fly sea.; Middle
-    race risk.; Land foot often action brother dinner.; Sign administration use book
-    section memory tree.
-- source_sentence: Machine Learning Engineer. We are looking for a Machine Learning
-    Engineer to join our growing team and work on exciting projects.. Talk serious
-    or mouth night measure.; Article ahead capital no development.; Do minute chance
-    employee.; Account impact product land never military main show.. Cybersecurity;
-    Terraform; Deep Learning; Python; Linux. Azure; Django; Docker; NoSQL; TypeScript;
-    SQL
   sentences:
-  - Data Scientist. Next smile gun course six. Performance month bar let expect everything.
-    Whom great heart college people million computer.. Probably we determine information
-    century.; Step heavy animal notice foot police.; True soldier one business car..
-    AWS; JavaScript; Machine Learning; React; CI/CD; Linux; Cybersecurity. Feel field
-    behind matter hair.; Tonight give Mrs organization.
-  - Data Scientist. Among easy indicate statement. Sit natural change strategy start
-    party.. Do hand star modern.; Eat hear for will picture hotel.; Build parent true
-    discover carry involve exactly.. Python; TypeScript; Docker; NoSQL; C#; Linux;
-    SQL. Sound former during way suffer bag want.; History it school look.; Phone
-    into notice piece wait show.
-  - IT Project Manager. Least trade these voice. Choose letter than. Do model effort
-    they not.. Reflect development forward hand.; Investment fall what guess.; Green
-    new instead language board.. Kubernetes; TypeScript; Django; TensorFlow; AWS;
-    C#; Deep Learning. Lay tax group message work statement ago.; Can try heart city.;
-    Positive social increase throw seat share standard.; Front far prepare.
-- source_sentence: Software Engineer. We are looking for a Software Engineer to join
-    our growing team and work on exciting projects.. Suffer class note resource.;
-    Guess really character and right scientist behavior election.; Seat force cultural
-    arm while.; Single maintain from recently.; Not thing wife focus road.. CI/CD;
-    Terraform; DevOps; JavaScript; TypeScript. Docker; Java; Azure; Deep Learning;
-    AWS; Node.js
   sentences:
-  - Full Stack Developer. Skin direction civil. Toward sure house stay sure if mouth
-    smile.. Range weight foreign.; Safe car at rest speech agency.; Her avoid her
-    heart three behind.; Deal goal send way power.. Azure; NoSQL; TypeScript; Java;
-    Kubernetes; Django; AWS. Environmental entire have charge state require artist.;
-    Among various instead our team.
-  - Software Engineer. Report ahead relate. Among employee that them.. Night continue
-    surface reduce instead education from.; None we forward notice miss wrong few.;
-    Business recently strategy else other recently environment.. Linux; NoSQL; Cybersecurity;
-    Machine Learning; Python; CI/CD; AWS. Social hot pay task commercial.; I throughout
-    participant sense.; Him station low happen available woman parent.; Measure recent
-    rock say city indeed allow value.
-  - Data Scientist. Standard defense clearly project.. Single always argue offer water
-    war.; Meeting certainly leader party heavy mind authority nearly.; Sister certain
-    any itself.; Paper top at area provide.. Cybersecurity; React; C#; TensorFlow;
-    Deep Learning; Penetration Testing; DevOps. Food safe wide key.; Word identify
-    cup life clear.
 pipeline_tag: sentence-similarity
 library_name: sentence-transformers
 ---
@@ -180,9 +125,9 @@ from sentence_transformers import SentenceTransformer
 model = SentenceTransformer("sentence_transformers_model_id")
 # Run inference
 sentences = [
-    'Software Engineer. We are looking for a Software Engineer to join our growing team and work on exciting projects.. Suffer class note resource.; Guess really character and right scientist behavior election.; Seat force cultural arm while.; Single maintain from recently.; Not thing wife focus road.. CI/CD; Terraform; DevOps; JavaScript; TypeScript. Docker; Java; Azure; Deep Learning; AWS; Node.js',
-    'Data Scientist. Standard defense clearly project.. Single always argue offer water war.; Meeting certainly leader party heavy mind authority nearly.; Sister certain any itself.; Paper top at area provide.. Cybersecurity; React; C#; TensorFlow; Deep Learning; Penetration Testing; DevOps. Food safe wide key.; Word identify cup life clear.',
-    'Software Engineer. Report ahead relate. Among employee that them.. Night continue surface reduce instead education from.; None we forward notice miss wrong few.; Business recently strategy else other recently environment.. Linux; NoSQL; Cybersecurity; Machine Learning; Python; CI/CD; AWS. Social hot pay task commercial.; I throughout participant sense.; Him station low happen available woman parent.; Measure recent rock say city indeed allow value.',
 ]
 embeddings = model.encode(sentences)
 print(embeddings.shape)
@@ -239,16 +184,16 @@ You can finetune this model on your own dataset.
 * Size: 5,000 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                                                                             | float                                                           |
-  | details | <ul><li>min: 71 tokens</li><li>mean: 88.58 tokens</li><li>max: 109 tokens</li></ul> | <ul><li>min: 67 tokens</li><li>mean: 96.1 tokens</li><li>max: 131 tokens</li></ul> | <ul><li>min: 0.2</li><li>mean: 0.48</li><li>max: 0.83</li></ul> |
 * Samples:
-  | sentence_0                                                                                                                                                                                                                                                                                                                                                                                 | sentence_1                                                                                                                                                                                                                                                                                                                                                                                                                                                       | label             |
-  |:-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:------------------|
-  | <code>Machine Learning Engineer. We are looking for a Machine Learning Engineer to join our growing team and work on exciting projects.. Good kind capital special human.; Community great goal.; Reach discover wall blood black style after somebody.. Python; TensorFlow; React; CI/CD; AWS. DevOps; Django; Node.js; Azure; CI/CD; Kubernetes</code>                                   | <code>Mobile App Developer. At do American than partner sound. Plan decade industry deep establish wide whole.. All recognize edge southern.; Home hope house develop major there.; Crime push local present thus.. Node.js; Penetration Testing; TensorFlow; Java; C#; Deep Learning; NoSQL. Above people everything.; Eat game left past pull range.; Letter create must including.</code>                                                                     | <code>0.47</code> |
-  | <code>Mobile App Developer. We are looking for a Mobile App Developer to join our growing team and work on exciting projects.. Try hotel where catch reveal help.; Seat nor quality factor movie.; Good image realize respond possible.. Machine Learning; Terraform; JavaScript; Deep Learning; DevOps. Python; JavaScript; Cybersecurity; TensorFlow; Penetration Testing; DevOps</code> | <code>Mobile App Developer. Future large lead tree clear about building. Manage concern stuff shoulder.. Very star necessary military beautiful structure look.; Reveal something church particular instead special.; Than long series central.; Agent sister value.; Teacher production career more safe.. Penetration Testing; Node.js; SQL; TypeScript; Docker; React; Django. Ask song reveal.; Member top power certain pattern.; Trip away success.</code> | <code>0.42</code> |
-  | <code>Frontend Developer. We are looking for a Frontend Developer to join our growing team and work on exciting projects.. Per major government hotel population walk.; Suddenly artist century few research.; Exist to outside son onto member.. CI/CD; Python; Flask; Deep Learning; Java. SQL; Penetration Testing; AWS; Java; Linux; Node.js</code>                                    | <code>Software Engineer. Down which want debate. Situation establish find cold that. Take Republican over set people.. Understand event image suffer.; Kind go alone consumer develop tonight star.; Page radio former imagine evidence pick girl budget.. TypeScript; Cybersecurity; Machine Learning; Azure; NoSQL; SQL; React. End bed stand whatever challenge.; West moment act management can second between.</code>                                       | <code>0.46</code> |
 * Loss: [<code>CosineSimilarityLoss</code>](https://sbert.net/docs/package_reference/sentence_transformer/losses.html#cosinesimilarityloss) with these parameters:
   ```json
   {
@@ -261,7 +206,7 @@ You can finetune this model on your own dataset.
 - `per_device_train_batch_size`: 16
 - `per_device_eval_batch_size`: 16
-- `num_train_epochs`: 10
 - `multi_dataset_batch_sampler`: round_robin
 #### All Hyperparameters
@@ -284,7 +229,7 @@ You can finetune this model on your own dataset.
 - `adam_beta2`: 0.999
 - `adam_epsilon`: 1e-08
 - `max_grad_norm`: 1
-- `num_train_epochs`: 10
 - `max_steps`: -1
 - `lr_scheduler_type`: linear
 - `lr_scheduler_kwargs`: {}
@@ -385,14 +330,26 @@ You can finetune this model on your own dataset.
 </details>
 ### Training Logs
-| Epoch  | Step | Training Loss |
-|:------:|:----:|:-------------:|
-| 1.5974 | 500  | 0.0052        |
-| 3.1949 | 1000 | 0.0039        |
-| 4.7923 | 1500 | 0.0033        |
-| 6.3898 | 2000 | 0.0029        |
-| 7.9872 | 2500 | 0.0026        |
-| 9.5847 | 3000 | 0.0023        |
 ### Framework Versions

 - loss:CosineSimilarityLoss
 base_model: sentence-transformers/all-MiniLM-L6-v2
 widget:
+- source_sentence: looking Product Manager expertise AWS Cybersecurity JavaScript
+    Cloud Architecture candidate responsible designing implementing maintaining solutions
+    using modern technologies
   sentences:
+  - Emily Barry professional skilled JavaScript Machine Learning Kubernetes Computer
+    Vision Experienced working multiple projects involving cloud technologies modern
+    software development practices
+  - Stephen Baker professional skilled React AWS Node.js NLP Experienced working multiple
+    projects involving cloud technologies modern software development practices
+  - James Jackson professional skilled Node.js Cybersecurity Kubernetes Docker Experienced
+    working multiple projects involving cloud technologies modern software development
+    practices
+- source_sentence: looking Software Engineer expertise AWS TensorFlow NLP Node.js
+    candidate responsible designing implementing maintaining solutions using modern
+    technologies
   sentences:
+  - Jennifer Thompson professional skilled JavaScript TensorFlow Computer Vision Django
+    Experienced working multiple projects involving cloud technologies modern software
+    development practices
+  - Lisa Bell professional skilled Python TensorFlow Computer Vision Machine Learning
+    Experienced working multiple projects involving cloud technologies modern software
+    development practices
+  - Susan Rogers professional skilled Docker Cybersecurity Machine Learning Python
+    Experienced working multiple projects involving cloud technologies modern software
+    development practices
+- source_sentence: looking DevOps Engineer expertise Cybersecurity Machine Learning
+    SQL TensorFlow candidate responsible designing implementing maintaining solutions
+    using modern technologies
   sentences:
+  - Kenneth Jones professional skilled NLP Node.js Cybersecurity Cloud Architecture
+    Experienced working multiple projects involving cloud technologies modern software
+    development practices
+  - Matthew Mcintyre professional skilled NoSQL Kubernetes React Docker Experienced
+    working multiple projects involving cloud technologies modern software development
+    practices
+  - William Wilson professional skilled SQL Kubernetes CI/CD Security Analysis Experienced
+    working multiple projects involving cloud technologies modern software development
+    practices
+- source_sentence: looking Software Engineer expertise Cybersecurity NLP SQL Django
+    candidate responsible designing implementing maintaining solutions using modern
+    technologies
   sentences:
+  - Daniel Stewart professional skilled JavaScript Python Cybersecurity TensorFlow
+    Experienced working multiple projects involving cloud technologies modern software
+    development practices
+  - Kristy Massey MD professional skilled Django Security Analysis JavaScript Cybersecurity
+    Experienced working multiple projects involving cloud technologies modern software
+    development practices
+  - Melanie Sutton professional skilled Django CI/CD JavaScript SQL Experienced working
+    multiple projects involving cloud technologies modern software development practices
+- source_sentence: looking AI Researcher expertise CI/CD Docker TensorFlow JavaScript
+    candidate responsible designing implementing maintaining solutions using modern
+    technologies
   sentences:
+  - Dr. William Ramirez professional skilled NoSQL React CI/CD Cloud Architecture
+    Experienced working multiple projects involving cloud technologies modern software
+    development practices
+  - Rebecca Wiley professional skilled Python Kubernetes Node.js JavaScript Experienced
+    working multiple projects involving cloud technologies modern software development
+    practices
+  - Roberta Graham professional skilled Flask Machine Learning Node.js Docker Experienced
+    working multiple projects involving cloud technologies modern software development
+    practices
 pipeline_tag: sentence-similarity
 library_name: sentence-transformers
 ---
 model = SentenceTransformer("sentence_transformers_model_id")
 # Run inference
 sentences = [
+    'looking AI Researcher expertise CI/CD Docker TensorFlow JavaScript candidate responsible designing implementing maintaining solutions using modern technologies',
+    'Roberta Graham professional skilled Flask Machine Learning Node.js Docker Experienced working multiple projects involving cloud technologies modern software development practices',
+    'Rebecca Wiley professional skilled Python Kubernetes Node.js JavaScript Experienced working multiple projects involving cloud technologies modern software development practices',
 ]
 embeddings = model.encode(sentences)
 print(embeddings.shape)
 * Size: 5,000 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                                                                             | float                                                          |
+  | details | <ul><li>min: 20 tokens</li><li>mean: 24.72 tokens</li><li>max: 32 tokens</li></ul> | <ul><li>min: 22 tokens</li><li>mean: 26.26 tokens</li><li>max: 34 tokens</li></ul> | <ul><li>min: 0.4</li><li>mean: 0.71</li><li>max: 1.0</li></ul> |
 * Samples:
+  | sentence_0                                                                                                                                                                         | sentence_1                                                                                                                                                                                                     | label              |
+  |:-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:-------------------|
+  | <code>looking AI Researcher expertise CI/CD Python Computer Vision Flask candidate responsible designing implementing maintaining solutions using modern technologies</code>       | <code>Deanna Gibson professional skilled Security Analysis Node.js Machine Learning Kubernetes Experienced working multiple projects involving cloud technologies modern software development practices</code> | <code>0.481</code> |
+  | <code>looking Machine Learning Engineer expertise AWS Kubernetes Python Django candidate responsible designing implementing maintaining solutions using modern technologies</code> | <code>Amanda Johnson professional skilled AWS NLP Node.js Security Analysis Experienced working multiple projects involving cloud technologies modern software development practices</code>                    | <code>0.982</code> |
+  | <code>looking Cybersecurity Analyst expertise JavaScript Python Node.js NoSQL candidate responsible designing implementing maintaining solutions using modern technologies</code>  | <code>Alicia Patton professional skilled Node.js TensorFlow SQL NoSQL Experienced working multiple projects involving cloud technologies modern software development practices</code>                          | <code>0.597</code> |
 * Loss: [<code>CosineSimilarityLoss</code>](https://sbert.net/docs/package_reference/sentence_transformer/losses.html#cosinesimilarityloss) with these parameters:
   ```json
   {
 - `per_device_train_batch_size`: 16
 - `per_device_eval_batch_size`: 16
+- `num_train_epochs`: 30
 - `multi_dataset_batch_sampler`: round_robin
 #### All Hyperparameters
 - `adam_beta2`: 0.999
 - `adam_epsilon`: 1e-08
 - `max_grad_norm`: 1
+- `num_train_epochs`: 30
 - `max_steps`: -1
 - `lr_scheduler_type`: linear
 - `lr_scheduler_kwargs`: {}
 </details>
 ### Training Logs
+| Epoch   | Step | Training Loss |
+|:-------:|:----:|:-------------:|
+| 1.5974  | 500  | 0.0324        |
+| 3.1949  | 1000 | 0.0298        |
+| 4.7923  | 1500 | 0.028         |
+| 6.3898  | 2000 | 0.025         |
+| 7.9872  | 2500 | 0.0229        |
+| 9.5847  | 3000 | 0.0198        |
+| 11.1821 | 3500 | 0.0179        |
+| 12.7796 | 4000 | 0.0156        |
+| 14.3770 | 4500 | 0.014         |
+| 15.9744 | 5000 | 0.0127        |
+| 17.5719 | 5500 | 0.0115        |
+| 19.1693 | 6000 | 0.0104        |
+| 20.7668 | 6500 | 0.0098        |
+| 22.3642 | 7000 | 0.009         |
+| 23.9617 | 7500 | 0.0086        |
+| 25.5591 | 8000 | 0.0082        |
+| 27.1565 | 8500 | 0.0078        |
+| 28.7540 | 9000 | 0.0076        |
 ### Framework Versions

model.safetensors CHANGED Viewed

@@ -1,3 +1,3 @@
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