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Upload fine-tuned model

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  1. README.md +92 -135
  2. model.safetensors +1 -1
README.md CHANGED
@@ -8,124 +8,69 @@ tags:
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  - loss:CosineSimilarityLoss
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  base_model: sentence-transformers/all-MiniLM-L6-v2
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  widget:
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- - source_sentence: Machine Learning Engineer. We are looking for a Machine Learning
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- Engineer to join our growing team and work on exciting projects.. Energy officer
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- later analysis.; Represent doctor must amount first new.; Standard store herself
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- buy.; Attorney later road drive high could new.; Public near program language..
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- Docker; Azure; Linux; JavaScript; React. SQL; DevOps; Linux; Python; TensorFlow;
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- C#
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  sentences:
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- - Backend Developer. Baby consider fall go. Year role financial firm physical prepare
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- wear financial. Mission training research me mouth home partner.. Article bad
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- style.; On see attorney traditional price reflect tough.; Pay training I.; President
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- the these.; Mouth close debate world nor sport security.. Docker; C#; Flask; NoSQL;
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- Django; Node.js; Cybersecurity. Operation low rich drive.; Receive middle likely.
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- - Cybersecurity Analyst. What light amount modern security receive. Build book street
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- challenge.. Light choice TV.; Beat piece usually day bar cost.; True government
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- sea training door.; Popular who also situation step.. React; TypeScript; NoSQL;
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- Deep Learning; C#; TensorFlow; Django. Hand behavior market religious four might
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- size.; Middle central knowledge fast rise all really.; Become fight argue.; Able
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- hundred force response.
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- - AI Researcher. Rather well administration police seat stand. Red produce yeah
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- site run fly purpose face.. Yourself address might expect his budget bill.; Later
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- top focus guess occur hour.; Have turn quickly help well its.; However research
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- visit.; Commercial building especially capital system each.. Python; Machine Learning;
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- Terraform; Deep Learning; Java; Cybersecurity; Linux. At exactly story letter
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- dream.; Paper experience control author like president girl education.; Education
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- fund hear side mother.; Who then more start various draw along.
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- - source_sentence: Full Stack Developer. We are looking for a Full Stack Developer
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- to join our growing team and work on exciting projects.. Threat store center scene
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- country can quite.; Campaign today degree.; Data when risk citizen common.; Current
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- few environment social about page.. Penetration Testing; Java; Node.js; Docker;
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- JavaScript. SQL; AWS; CI/CD; JavaScript; Machine Learning; C#
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  sentences:
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- - Data Scientist. Protect usually song treat front he. Thought style successful
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- suddenly role voice also. When federal hear eat investment.. Campaign environmental
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- none federal.; These poor conference cause capital.; Start rule third ok.; Network
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- age job charge benefit various.; Go almost cost great.. DevOps; React; Cybersecurity;
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- SQL; Linux; Penetration Testing; Docker. Rise it interest try else attorney.;
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- Always everybody fight actually.; Nearly west score go.; Its if less system during.
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- - Frontend Developer. Student knowledge catch trip specific structure activity be.
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- Listen reveal member.. Nature radio serve into.; Speak old side green second travel
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- clear.; Family instead chance entire despite site.; Approach form wonder wrong
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- billion four blood source.. Flask; NoSQL; Azure; Cybersecurity; Node.js; Java;
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- C#. Recently how hot.; Push yourself step word they.; Forward per difficult chance
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- general ten.
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- - AI Researcher. Start ball civil set although. Or environmental place boy because
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- chance.. Within value ahead.; Class democratic candidate arm.; Region represent
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- great note nothing recently low.; Way live according follow walk doctor loss..
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- Azure; TensorFlow; JavaScript; Machine Learning; CI/CD; Kubernetes; Terraform.
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- Here other next over down seem yourself model.; Discover natural generation traditional
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- suddenly management.; Discuss food majority professor.
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- - source_sentence: AI Researcher. We are looking for a AI Researcher to join our growing
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- team and work on exciting projects.. Improve hard street ask anyone accept history.;
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- Heavy a through old nothing various.; Fight clearly safe available similar hot.;
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- Movie body accept society heavy six.; Note close bad detail cell.. NoSQL; Azure;
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- Terraform; Flask; Django. Deep Learning; NoSQL; Terraform; Python; CI/CD; Flask
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  sentences:
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- - Frontend Developer. Model purpose most maintain price guess Republican. Manager
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- sure stuff beyond win. Wall type process.. Pattern million task so approach simple.;
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- Letter as tell tough price.; Tree ahead person building report likely see have.;
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- Thought name current hair avoid.. TensorFlow; Azure; DevOps; Machine Learning;
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- C#; React; NoSQL. Possible say son sister.; Nothing good later pressure board
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- stand.; Fly beat green picture stage.; Look sell same off else nature second.
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- - IT Project Manager. South although pass final number pick while. Others run contain
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- book. Bag single mission try true.. Power water determine go step common.; Student
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- people mission author stay.; Cup here father age age food.. React; Flask; Terraform;
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- DevOps; SQL; Docker; NoSQL. Marriage free security his before wear concern.; Future
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- great east use.; Senior plan require bit court often.
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- - Mobile App Developer. Until player time big design ten. Out billion money follow
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- bill so technology. Thousand north particularly difficult. Check social into decade
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- thing minute ahead.. Send memory ago full director although morning.; Relationship
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- sign front actually forget personal cold name.; Near debate notice their.. SQL;
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- AWS; C#; Node.js; Cybersecurity; Machine Learning; React. Produce fly sea.; Middle
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- race risk.; Land foot often action brother dinner.; Sign administration use book
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- section memory tree.
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- - source_sentence: Machine Learning Engineer. We are looking for a Machine Learning
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- Engineer to join our growing team and work on exciting projects.. Talk serious
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- or mouth night measure.; Article ahead capital no development.; Do minute chance
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- employee.; Account impact product land never military main show.. Cybersecurity;
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- Terraform; Deep Learning; Python; Linux. Azure; Django; Docker; NoSQL; TypeScript;
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- SQL
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  sentences:
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- - Data Scientist. Next smile gun course six. Performance month bar let expect everything.
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- Whom great heart college people million computer.. Probably we determine information
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- century.; Step heavy animal notice foot police.; True soldier one business car..
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- AWS; JavaScript; Machine Learning; React; CI/CD; Linux; Cybersecurity. Feel field
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- behind matter hair.; Tonight give Mrs organization.
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- - Data Scientist. Among easy indicate statement. Sit natural change strategy start
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- party.. Do hand star modern.; Eat hear for will picture hotel.; Build parent true
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- discover carry involve exactly.. Python; TypeScript; Docker; NoSQL; C#; Linux;
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- SQL. Sound former during way suffer bag want.; History it school look.; Phone
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- into notice piece wait show.
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- - IT Project Manager. Least trade these voice. Choose letter than. Do model effort
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- they not.. Reflect development forward hand.; Investment fall what guess.; Green
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- new instead language board.. Kubernetes; TypeScript; Django; TensorFlow; AWS;
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- C#; Deep Learning. Lay tax group message work statement ago.; Can try heart city.;
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- Positive social increase throw seat share standard.; Front far prepare.
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- - source_sentence: Software Engineer. We are looking for a Software Engineer to join
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- our growing team and work on exciting projects.. Suffer class note resource.;
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- Guess really character and right scientist behavior election.; Seat force cultural
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- arm while.; Single maintain from recently.; Not thing wife focus road.. CI/CD;
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- Terraform; DevOps; JavaScript; TypeScript. Docker; Java; Azure; Deep Learning;
111
- AWS; Node.js
112
  sentences:
113
- - Full Stack Developer. Skin direction civil. Toward sure house stay sure if mouth
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- smile.. Range weight foreign.; Safe car at rest speech agency.; Her avoid her
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- heart three behind.; Deal goal send way power.. Azure; NoSQL; TypeScript; Java;
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- Kubernetes; Django; AWS. Environmental entire have charge state require artist.;
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- Among various instead our team.
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- - Software Engineer. Report ahead relate. Among employee that them.. Night continue
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- surface reduce instead education from.; None we forward notice miss wrong few.;
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- Business recently strategy else other recently environment.. Linux; NoSQL; Cybersecurity;
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- Machine Learning; Python; CI/CD; AWS. Social hot pay task commercial.; I throughout
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- participant sense.; Him station low happen available woman parent.; Measure recent
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- rock say city indeed allow value.
124
- - Data Scientist. Standard defense clearly project.. Single always argue offer water
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- war.; Meeting certainly leader party heavy mind authority nearly.; Sister certain
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- any itself.; Paper top at area provide.. Cybersecurity; React; C#; TensorFlow;
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- Deep Learning; Penetration Testing; DevOps. Food safe wide key.; Word identify
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- cup life clear.
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  pipeline_tag: sentence-similarity
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  library_name: sentence-transformers
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  ---
@@ -180,9 +125,9 @@ from sentence_transformers import SentenceTransformer
180
  model = SentenceTransformer("sentence_transformers_model_id")
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  # Run inference
182
  sentences = [
183
- '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',
184
- '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.',
185
- '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.',
186
  ]
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  embeddings = model.encode(sentences)
188
  print(embeddings.shape)
@@ -239,16 +184,16 @@ You can finetune this model on your own dataset.
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  * Size: 5,000 training samples
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  * Columns: <code>sentence_0</code>, <code>sentence_1</code>, and <code>label</code>
241
  * Approximate statistics based on the first 1000 samples:
242
- | | sentence_0 | sentence_1 | label |
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- |:--------|:------------------------------------------------------------------------------------|:-----------------------------------------------------------------------------------|:----------------------------------------------------------------|
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- | type | string | string | float |
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- | 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> |
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  * Samples:
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- | sentence_0 | sentence_1 | label |
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- |:-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:------------------|
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- | <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> |
250
- | <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> |
251
- | <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> |
252
  * Loss: [<code>CosineSimilarityLoss</code>](https://sbert.net/docs/package_reference/sentence_transformer/losses.html#cosinesimilarityloss) with these parameters:
253
  ```json
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  {
@@ -261,7 +206,7 @@ You can finetune this model on your own dataset.
261
 
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  - `per_device_train_batch_size`: 16
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  - `per_device_eval_batch_size`: 16
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- - `num_train_epochs`: 10
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  - `multi_dataset_batch_sampler`: round_robin
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  #### All Hyperparameters
@@ -284,7 +229,7 @@ You can finetune this model on your own dataset.
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  - `adam_beta2`: 0.999
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  - `adam_epsilon`: 1e-08
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  - `max_grad_norm`: 1
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- - `num_train_epochs`: 10
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  - `max_steps`: -1
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  - `lr_scheduler_type`: linear
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  - `lr_scheduler_kwargs`: {}
@@ -385,14 +330,26 @@ You can finetune this model on your own dataset.
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  </details>
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  ### Training Logs
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- | Epoch | Step | Training Loss |
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- |:------:|:----:|:-------------:|
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- | 1.5974 | 500 | 0.0052 |
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- | 3.1949 | 1000 | 0.0039 |
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- | 4.7923 | 1500 | 0.0033 |
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- | 6.3898 | 2000 | 0.0029 |
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- | 7.9872 | 2500 | 0.0026 |
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- | 9.5847 | 3000 | 0.0023 |
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Framework Versions
 
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  - loss:CosineSimilarityLoss
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  base_model: sentence-transformers/all-MiniLM-L6-v2
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  widget:
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+ - source_sentence: looking Product Manager expertise AWS Cybersecurity JavaScript
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+ Cloud Architecture candidate responsible designing implementing maintaining solutions
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+ using modern technologies
 
 
 
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  sentences:
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+ - Emily Barry professional skilled JavaScript Machine Learning Kubernetes Computer
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+ Vision Experienced working multiple projects involving cloud technologies modern
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+ software development practices
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+ - Stephen Baker professional skilled React AWS Node.js NLP Experienced working multiple
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+ projects involving cloud technologies modern software development practices
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+ - James Jackson professional skilled Node.js Cybersecurity Kubernetes Docker Experienced
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+ working multiple projects involving cloud technologies modern software development
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+ practices
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+ - source_sentence: looking Software Engineer expertise AWS TensorFlow NLP Node.js
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+ candidate responsible designing implementing maintaining solutions using modern
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+ technologies
 
 
 
 
 
 
 
 
 
 
 
 
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  sentences:
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+ - Jennifer Thompson professional skilled JavaScript TensorFlow Computer Vision Django
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+ Experienced working multiple projects involving cloud technologies modern software
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+ development practices
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+ - Lisa Bell professional skilled Python TensorFlow Computer Vision Machine Learning
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+ Experienced working multiple projects involving cloud technologies modern software
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+ development practices
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+ - Susan Rogers professional skilled Docker Cybersecurity Machine Learning Python
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+ Experienced working multiple projects involving cloud technologies modern software
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+ development practices
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+ - source_sentence: looking DevOps Engineer expertise Cybersecurity Machine Learning
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+ SQL TensorFlow candidate responsible designing implementing maintaining solutions
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+ using modern technologies
 
 
 
 
 
 
 
 
 
 
 
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  sentences:
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+ - Kenneth Jones professional skilled NLP Node.js Cybersecurity Cloud Architecture
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+ Experienced working multiple projects involving cloud technologies modern software
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+ development practices
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+ - Matthew Mcintyre professional skilled NoSQL Kubernetes React Docker Experienced
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+ working multiple projects involving cloud technologies modern software development
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+ practices
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+ - William Wilson professional skilled SQL Kubernetes CI/CD Security Analysis Experienced
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+ working multiple projects involving cloud technologies modern software development
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+ practices
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+ - source_sentence: looking Software Engineer expertise Cybersecurity NLP SQL Django
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+ candidate responsible designing implementing maintaining solutions using modern
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+ technologies
 
 
 
 
 
 
 
 
 
 
 
 
52
  sentences:
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+ - Daniel Stewart professional skilled JavaScript Python Cybersecurity TensorFlow
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+ Experienced working multiple projects involving cloud technologies modern software
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+ development practices
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+ - Kristy Massey MD professional skilled Django Security Analysis JavaScript Cybersecurity
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+ Experienced working multiple projects involving cloud technologies modern software
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+ development practices
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+ - Melanie Sutton professional skilled Django CI/CD JavaScript SQL Experienced working
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+ multiple projects involving cloud technologies modern software development practices
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+ - source_sentence: looking AI Researcher expertise CI/CD Docker TensorFlow JavaScript
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+ candidate responsible designing implementing maintaining solutions using modern
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+ technologies
 
 
 
 
 
 
 
 
 
 
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  sentences:
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+ - Dr. William Ramirez professional skilled NoSQL React CI/CD Cloud Architecture
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+ Experienced working multiple projects involving cloud technologies modern software
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+ development practices
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+ - Rebecca Wiley professional skilled Python Kubernetes Node.js JavaScript Experienced
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+ working multiple projects involving cloud technologies modern software development
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+ practices
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+ - Roberta Graham professional skilled Flask Machine Learning Node.js Docker Experienced
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+ working multiple projects involving cloud technologies modern software development
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+ practices
 
 
 
 
 
 
 
74
  pipeline_tag: sentence-similarity
75
  library_name: sentence-transformers
76
  ---
 
125
  model = SentenceTransformer("sentence_transformers_model_id")
126
  # Run inference
127
  sentences = [
128
+ 'looking AI Researcher expertise CI/CD Docker TensorFlow JavaScript candidate responsible designing implementing maintaining solutions using modern technologies',
129
+ 'Roberta Graham professional skilled Flask Machine Learning Node.js Docker Experienced working multiple projects involving cloud technologies modern software development practices',
130
+ 'Rebecca Wiley professional skilled Python Kubernetes Node.js JavaScript Experienced working multiple projects involving cloud technologies modern software development practices',
131
  ]
132
  embeddings = model.encode(sentences)
133
  print(embeddings.shape)
 
184
  * Size: 5,000 training samples
185
  * Columns: <code>sentence_0</code>, <code>sentence_1</code>, and <code>label</code>
186
  * Approximate statistics based on the first 1000 samples:
187
+ | | sentence_0 | sentence_1 | label |
188
+ |:--------|:-----------------------------------------------------------------------------------|:-----------------------------------------------------------------------------------|:---------------------------------------------------------------|
189
+ | type | string | string | float |
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+ | 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> |
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  * Samples:
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+ | sentence_0 | sentence_1 | label |
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+ |:-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:-------------------|
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+ | <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> |
195
+ | <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> |
196
+ | <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> |
197
  * Loss: [<code>CosineSimilarityLoss</code>](https://sbert.net/docs/package_reference/sentence_transformer/losses.html#cosinesimilarityloss) with these parameters:
198
  ```json
199
  {
 
206
 
207
  - `per_device_train_batch_size`: 16
208
  - `per_device_eval_batch_size`: 16
209
+ - `num_train_epochs`: 30
210
  - `multi_dataset_batch_sampler`: round_robin
211
 
212
  #### All Hyperparameters
 
229
  - `adam_beta2`: 0.999
230
  - `adam_epsilon`: 1e-08
231
  - `max_grad_norm`: 1
232
+ - `num_train_epochs`: 30
233
  - `max_steps`: -1
234
  - `lr_scheduler_type`: linear
235
  - `lr_scheduler_kwargs`: {}
 
330
  </details>
331
 
332
  ### Training Logs
333
+ | Epoch | Step | Training Loss |
334
+ |:-------:|:----:|:-------------:|
335
+ | 1.5974 | 500 | 0.0324 |
336
+ | 3.1949 | 1000 | 0.0298 |
337
+ | 4.7923 | 1500 | 0.028 |
338
+ | 6.3898 | 2000 | 0.025 |
339
+ | 7.9872 | 2500 | 0.0229 |
340
+ | 9.5847 | 3000 | 0.0198 |
341
+ | 11.1821 | 3500 | 0.0179 |
342
+ | 12.7796 | 4000 | 0.0156 |
343
+ | 14.3770 | 4500 | 0.014 |
344
+ | 15.9744 | 5000 | 0.0127 |
345
+ | 17.5719 | 5500 | 0.0115 |
346
+ | 19.1693 | 6000 | 0.0104 |
347
+ | 20.7668 | 6500 | 0.0098 |
348
+ | 22.3642 | 7000 | 0.009 |
349
+ | 23.9617 | 7500 | 0.0086 |
350
+ | 25.5591 | 8000 | 0.0082 |
351
+ | 27.1565 | 8500 | 0.0078 |
352
+ | 28.7540 | 9000 | 0.0076 |
353
 
354
 
355
  ### Framework Versions
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
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- oid sha256:1f1da7461cd2e4b865d0f29ef7d24edee9784535b582e6a18f757c6a93c0da76
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  size 90864192
 
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  version https://git-lfs.github.com/spec/v1
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  size 90864192