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tags:
- sentence-transformers
- sentence-similarity
- feature-extraction
- dense
- generated_from_trainer
- dataset_size:297400
- loss:CosineSimilarityLoss
base_model: EuroBERT/EuroBERT-210m
widget:
- source_sentence: '{"type": "opportunity", "customer_code": "", "opportunity_title":
"#MakeReal#Data - Expertise GCP à la demande", "opportunity_place": "", "opportunity_expertise_area":
"-1", "opportunity_tools": "", "opportunity_activity_area": "", "opportunity_type":
"1", "opportunity_description": "", "opportunity_criteria": "", "opportunity_extract":
1}'
sentences:
- '{"type": "candidate", "customer_code": "", "title": "CONTROLEUSE DE GESTION SENIOR/RAF",
"skills": "", "education": "", "experience": "-1", "tools": "", "languages": "",
"mobility": "", "expertise_area": "", "activity_area": "", "list_diplomes": "2006
- Master 1 Maîtrise de Sciences Economiques et de Gestion - Marne La Vallée 77
- not provided", "typeOf": "-1", "source": "-1", "informationComments": "", "extract":
1, "experiences": "[{''skills'': '''', ''startMonth'': '''', ''endDate'': '''',
''startYear'': '''', ''description'': \"service Cotation en charge de L''analyse
de la rentabilité, de la solvabilité et de l''autonomie financière des entreprises
L''établissement du diagnostic financier\", ''company'': '''', ''location'': '''',
''id'': ''23447'', ''title'': ''Assistante - BANQUE DE FRANCE - 01/01/1994 - 01/01/1994'',
''endMonth'': '''', ''endYear'': '''', ''startDate'': ''''}, {''skills'': '''',
''startMonth'': '''', ''endDate'': '''', ''startYear'': '''', ''description'':
'''', ''company'': '''', ''location'': '''', ''id'': ''23448'', ''title'': ''SUDAC
Air Service Groupe - AIR LIQUIDE - 01/01/2007 - 01/01/2008'', ''endMonth'': '''',
''endYear'': '''', ''startDate'': ''''}, {''skills'': '''', ''startMonth'': '''',
''endDate'': '''', ''startYear'': '''', ''description'': \"Responsable du contrôle
de gestion et comptabilité auxiliaire charge de L''analyse et le suivi de la rentabilité
de trois sociétés et de leurs portefeuilles clients La collecte la consolidation
et validation de tableau de bords pour la production La consolidation de données
financières pour le suivi budgétaire (mensuel/annuel L''analyse des écarts entre
le réalisé et le Budgété 6 Rue du Centre 91 Essonne Tel : 06-29-46-98-74 Mail
: ketty58_9@hotmail.com Permis B + Véhicule Téléchargé par TEOLIA (111069) le
06/01/2022 14:10:20 Le suivi du process facturation (comptabilité clients et fournisseurs)
L''établissement des rapprochements avec l''expert-comptable et de la clôture
La trésorerie et du management de trois (3) personnes\", ''company'': '''', ''location'':
'''', ''id'': ''23449'', ''title'': ''Kéthia MICHEL - 01/01/1994 - 01/01/1994'',
''endMonth'': '''', ''endYear'': '''', ''startDate'': ''''}, {''skills'': '''',
''startMonth'': '''', ''endDate'': '''', ''startYear'': '''', ''description'':
''logistique de 13 M€ CA/an et effectifs 70 p) - Ivry sur Seine'', ''company'':
'''', ''location'': '''', ''id'': ''23450'', ''title'': ''AXELIS+ Société - 01/01/2009
- 01/01/2016'', ''endMonth'': '''', ''endYear'': '''', ''startDate'': ''''}, {''skills'':
'''', ''startMonth'': '''', ''endDate'': '''', ''startYear'': '''', ''description'':
''informatique de 44 M€/an effectifs 650 p) -St Denis'', ''company'': '''', ''location'':
'''', ''id'': ''23451'', ''title'': ''LINKBYNET Société - 01/01/2016 - 01/01/2017'',
''endMonth'': '''', ''endYear'': '''', ''startDate'': ''''}, {''skills'': '''',
''startMonth'': '''', ''endDate'': '''', ''startYear'': '''', ''description'':
\"conseil) -Paris (08) 1 an Contrôleuse de gestion IT détachée chez BPCE-IT et
en charge de : La reprise de leur modèle de facturation L''amélioration de leur
modèle de facturation L''analyse entre les coûts réels et les coûts Budgétés L''analyse
des écarts entre le réalisé et le Budgété\", ''company'': '''', ''location'':
'''', ''id'': ''23452'', ''title'': ''RHAPSODIES Société - 01/01/2017 - 01/01/2018'',
''endMonth'': '''', ''endYear'': '''', ''startDate'': ''''}, {''skills'': '''',
''startMonth'': '''', ''endDate'': '''', ''startYear'': '''', ''description'':
\"1 an Consultante en contrôle de gestion en charge de : La construction du PL
Mise en place de tableau de bord du suivi de la productivité Mise en place d''indicateur
pour le service de facturation Construction d''un budget sur 3 ans L''analyse
entre le budgété et le réalisé Support à l''amélioration des process de facturation
et comptabilité fournisseurs Support à l''amélioration des enregistrements analytiques
et comptables\", ''company'': '''', ''location'': '''', ''id'': ''23453'', ''title'':
''CONSULTANTE - EN CONTROLE DE GESTION - 01/01/2018 - 01/01/2019'', ''endMonth'':
'''', ''endYear'': '''', ''startDate'': ''''}, {''skills'': '''', ''startMonth'':
'''', ''endDate'': '''', ''startYear'': '''', ''description'': \"en contrôle de
gestion détachée chez GRT GAZ en charge de : L''évolution des coûts et du suivi
budgétaire L''évolution des OPEX/CAPEX La mise en place de tableau de bord L''accompagnement
des chefs de projet et portefolio dans leur suivi de projet et portefeuille La
construction du budget annuel La construction du reporting trimestriel et annuel\",
''company'': '''', ''location'': '''', ''id'': ''23454'', ''title'': ''Consultante
- FAO CONSULTING (société de conseil) - Levallois Perret - 01/03/2020'', ''endMonth'':
'''', ''endYear'': '''', ''startDate'': ''''}]"}'
- '{"type": "candidate", "customer_code": "", "title": "", "skills": "CAO, Construction,
GESTION, IBM CATIA, IBM CATIA Version 5, Marketing Management, Microsoft, Microsoft
Excel, Microsoft PowerPoint, Microsoft Word, Pricing, RAID", "education": "",
"experience": "0", "tools": "", "languages": "", "mobility": "", "expertise_area":
"", "activity_area": "commercial", "list_diplomes": "DUT - ET COMPETENCES - not
provided - 1999, DUT - Génie électrique - Université J. Fourier à Grenoble, BAC
S - Génie Mécanique et Productique - Université J. Fourier à Grenoble - 1996,
DUT - Option technologies industrielles - Lycée Vaucanson à Grenoble - 1999, DUT
- Génie électrique - Université J. Fourier à Grenoble", "typeOf": "-1", "source":
"7", "informationComments": "", "extract": 1, "experiences": "[{''description'':
''Trucks Commercial Vehicle\\r\\n'', ''title'': ''Manager Marketing véhicules
Construction - Renault''}, {''description'': \"- Saint-Priest (69) Responsable
de l''animation Marketing de la gamme Construction * Réalisation des plateformes
Marketing intégrant le contenu de l''offre, l''argumentation commerciale et l''analyse
concurrence * Création d''ateliers de présentation des véhicules adaptés aux différents
marchés internationaux * Organisation d''événements promotionnels et présentations
clients et journalistes * Analyse trimestrielle des ventes par modèles et définition
d''actions marketing et pricing * Conception des cahiers des charges formations
commerciales Manager Marketing gamme lourde - Renault Trucks International\\r\\n\",
''title'': ''Groupe AB Volvo - De - 01/01/2012''}, {''description'': ''Trucks
Commercial Vehicle\\r\\n'', ''title'': ''Manager Marketing véhicules Construction
- Renault - 01/02/2000''}, {''description'': \"- Saint-Priest (69) Responsable
de l''animation Marketing de la gamme Construction * Réalisation des plateformes
Marketing intégrant le contenu de l''offre, l''argumentation commerciale et l''analyse
concurrence * Création d''ateliers de présentation des véhicules adaptés aux différents
marchés internationaux * Organisation d''événements promotionnels et présentations
clients et journalistes * Analyse trimestrielle des ventes par modèles et définition
d''actions marketing et pricing * Conception des cahiers des charges formations
commerciales Manager Marketing gamme lourde - Renault Trucks International\\r\\n\",
''title'': ''Groupe AB Volvo - De - 01/01/2012''}]"}'
- '{"type": "candidate", "customer_code": "", "title": "", "skills": "", "education":
"", "experience": "-1", "tools": "", "languages": "", "mobility": "", "expertise_area":
"", "activity_area": "", "list_diplomes": "", "typeOf": "0", "source": "", "informationComments":
"", "extract": 1, "experiences": "[]"}'
- source_sentence: '{"type": "opportunity", "customer_code": "", "opportunity_title":
"Chargé(e) de recrutement - CDD - remplacement VLE", "opportunity_place": "",
"opportunity_expertise_area": "services", "opportunity_tools": "", "opportunity_activity_area":
"", "opportunity_type": "5", "opportunity_description": "", "opportunity_criteria":
"", "opportunity_extract": 1}'
sentences:
- '{"type": "candidate", "customer_code": "", "title": "CHARGEE DE RECRUTEMENT",
"skills": "spontanée, enthousiaste, souhaite intégrer, adaptabilité, optimisme,
analytique, travail en équipe\n\npack office 365, cegid, dpae, sirh, cp, stc",
"education": "", "experience": "-1", "tools": "", "languages": "anglais", "mobility":
"", "expertise_area": "", "activity_area": "", "list_diplomes": "2018 - BTS Management
des unités commerciales - Institution Robin Vienne, 2015 - LICENCE 1 Droit-Science
Politique - Université Lumière Lyon II", "typeOf": "-1", "source": "7", "informationComments":
"", "extract": 1, "experiences": "[{''skills'': '''', ''startMonth'': '''', ''endDate'':
'''', ''startYear'': '''', ''description'': ''identification de pharmacovigilance\\ninformation
et suivi qualité'', ''company'': '''', ''location'': '''', ''id'': ''31909'',
''title'': ''Chargée de clientèle pharmaceutique - WEBHELP MEDICA - Lyon - 09/2019
- 12/2019'', ''endMonth'': '''', ''endYear'': '''', ''startDate'': ''''}, {''skills'':
'''', ''startMonth'': '''', ''endDate'': '''', ''startYear'': '''', ''description'':
''identification des sollicitations locataire\\nsuivi des procédures spécifiques\\ngestion
des rendez-vous & transfert d’appel'', ''company'': '''', ''location'': '''',
''id'': ''31910'', ''title'': ''Conseillère clientèle sociale - LYON METROPOLE
HABITAT - Lyon - 01/2020 - 06/2020'', ''endMonth'': '''', ''endYear'': '''', ''startDate'':
''''}, {''skills'': '''', ''startMonth'': '''', ''endDate'': '''', ''startYear'':
'''', ''description'': ''participation au lancement du cdi apprenant\\ngestion
de projet\\nentretien visio-conférences\\nrédaction et publication d’annonces\\nsourcing\\ntraitement
des candidatures\\nrecrutement volumique\\ncoaching et conseils candidats\\nfeed
back entretiens'', ''company'': '''', ''location'': '''', ''id'': ''31911'', ''title'':
''Chargée de Recrutement - THE ADECCO GROUP - Villeurbanne - 11/2020 - 07/2021'',
''endMonth'': '''', ''endYear'': '''', ''startDate'': ''''}, {''skills'': '''',
''startMonth'': '''', ''endDate'': '''', ''startYear'': '''', ''description'':
''evaluation des besoins hebdomadaires\\npublication d’offre\\npré-qualification
téléphonique\\nanimation de session collective\\nentretien individuel\\ngestion
des affectations\\nrédaction des contrats de travail\\ncréation de dossier administratif\\ngestion
des visites médicales\\ntraitement des absences\\nsollicitations candidats\\nprocédure
disciplinaire\\nsuivie des démissions'', ''company'': '''', ''location'': '''',
''id'': ''31912'', ''title'': ''Chargée des Ressources Humaines - STAR SERVICE
- 04/2022 - 11/2022'', ''endMonth'': '''', ''endYear'': '''', ''startDate'': ''''},
{''skills'': '''', ''startMonth'': '''', ''endDate'': '''', ''startYear'': '''',
''description'': ''mise à jour du reporting rh/intérimaires\\nsaisis des éléments
de paie\\nsuivi et évaluation des plans de compétences\\nrecrutement interne\\ncréation
des dossiers rh\\naccueil des nouveaux arrivants /circuit d’intégration\\ngestion
de la relation école-entreprise'', ''company'': '''', ''location'': '''', ''id'':
''31913'', ''title'': ''Assistante RH - EGA CORBAS - 06/2022 - 01/2023'', ''endMonth'':
'''', ''endYear'': '''', ''startDate'': ''''}]"}'
- '{"type": "candidate", "customer_code": "", "title": "", "skills": "ANGLAIS, Automotive,
Baan, Back Office, Bts (Comm Sw), Business Analysis, Business Analyst, Configure,
Customer Relationship Management, Data Encryption Standard, Enterprise Requirements
Planning, EP, Français, HP, IBM AS/400, Italien, Microsoft, Microsoft Visual Basic
for Applications, Microsoft Windows CE, Movex, SalesForce, SAP, SAP MM module,
SD, Structured Query Language, Test", "education": "", "experience": "-1", "tools":
"", "languages": "", "mobility": "", "expertise_area": "industrie automobile",
"activity_area": "informatique", "list_diplomes": "", "typeOf": "-1", "source":
"0", "informationComments": "", "extract": 1, "experiences": "[]"}'
- '{"type": "candidate", "customer_code": "", "title": "Agile Backend Developer",
"skills": "", "education": "", "experience": "-1", "tools": "", "languages": "",
"mobility": "", "expertise_area": "", "activity_area": "", "list_diplomes": "",
"typeOf": "0", "source": "", "informationComments": "", "extract": 1, "experiences":
"[]"}'
- source_sentence: '{"type": "opportunity", "customer_code": "", "opportunity_title":
"Développeur fullstack orienté Front", "opportunity_place": "", "opportunity_expertise_area":
"-1", "opportunity_tools": "", "opportunity_activity_area": "", "opportunity_type":
"1", "opportunity_description": "", "opportunity_criteria": "", "opportunity_extract":
1}'
sentences:
- '{"type": "candidate", "customer_code": "", "title": "Développeur React JS React
Native Node Js", "skills": "", "education": "Bac5", "experience": "1", "tools":
"", "languages": "", "mobility": "", "expertise_area": "", "activity_area": "",
"list_diplomes": "Efrei Paris, Diplôme d''ingénieur", "typeOf": "-1", "source":
"3", "informationComments": "", "extract": 1, "experiences": "[]"}'
- '{"type": "candidate", "customer_code": "", "title": "", "skills": "Automation,
Fabrication, GESTION", "education": "", "experience": "-1", "tools": "", "languages":
"", "mobility": "", "expertise_area": "", "activity_area": "profilautres", "list_diplomes":
"2016 - Bac + 2 - V.A.E Assistante de Gestion niveau III - not provided, CENTRE
D''INTÉRÊT - Bénévole aux seins d''associations", "typeOf": "-1", "source": "7",
"informationComments": "", "extract": 1, "experiences": "[{''description'': ''du
groupe et du siège) - Cuisines AVIVA * * * 2011 : Assistante commerciale EUROTHERM
Automation : Développement de produits et systèmes ARGAL : Distributeur de charcuterie
espagnole *\\r\\n'', ''title'': ''PARCOURS MAJORITAIREMENT EFFECTUÉ EN INTÉRIM
COMMERCIALE / ASSISTANTE - Assistante polyvalente et juridique gestion en binôme
des quinze magasins - 01''}, {''description'': \"Gestion / analyse des compteurs
d''eaux / chauffages 16 ANS D''EXPÉRIENCES *\\r\\n\", ''title'': ''Assistante
de gestion - OCEA / Attaché clientèle - APRIL : Assurances Carrefour - Suez -
01/01/2009 - 01/01/2009''}, {''description'': ''Fabrication équipements électriques
*\\r\\n'', ''title'': ''Assistante commerciale - COMECA SYSTEMES - 01/01/2008
- 01/01/2009''}, {''description'': \"Sté d''assainissement / transport *\\r\\n\",
''title'': ''SANEST Suez - 01/01/2007 - 01/01/2008''}, {''description'': \"la
Formation Automobile ADAPTABILITÉ RAPIDE * 2002 : - ALPHA : Groupement de magasin
de jardinage DOTÉE D''UN BON * 2006 : Assistante de gestion - B.M.S : Spécialiste
de chariot élévateur assistante S.A.V RELATIONNEL ET SENS * 2001 : - SOLYFONTE
: Fondeur d''or\\r\\n\", ''title'': ''Gpment Nationale - GNFA - 01/01/2007 - 01/01/2007''}]"}'
- '{"type": "candidate", "customer_code": "", "title": "Cloud Consultant", "skills":
"", "education": "", "experience": "-1", "tools": "", "languages": "", "mobility":
"", "expertise_area": "", "activity_area": "", "list_diplomes": "", "typeOf":
"0", "source": "", "informationComments": "", "extract": 1, "experiences": "[]"}'
- source_sentence: '{"type": "opportunity", "customer_code": "", "opportunity_title":
"#MakeReal #Software #Fullstack #Java #Angular", "opportunity_place": "", "opportunity_expertise_area":
"Edition de logiciels", "opportunity_tools": "", "opportunity_activity_area":
"", "opportunity_type": "1", "opportunity_description": "Le contexte général est
le suivant :\n\n- Front-End Angular 13 et évolution vers du Micro-FrontEnd\n-
Réécriture du back-end en Domaine Driven Design / Micro-service Back-End (Java
/ Spring.boot),\n- Intégration continue (Jenkins, Sonar, Nexus …) et déploiement
via Docker et Amazon AWS\n- Amazon Web Services (EC2, RDS, Polly ….)\n- Oracle,
SQLServer, Postgres\n- JUnit / NUnit …, Cucumber, et Selenium pour la partie tests
d’intégration", "opportunity_criteria": "", "opportunity_extract": 1}'
sentences:
- '{"type": "candidate", "customer_code": "", "title": "Développeur fullstack",
"skills": "", "education": "", "experience": "-1", "tools": "", "languages": "",
"mobility": "", "expertise_area": "", "activity_area": "", "list_diplomes": "",
"typeOf": "0", "source": "", "informationComments": "", "extract": 1, "experiences":
"[]"}'
- '{"type": "candidate", "customer_code": "", "title": "Agile Enterprise Architect",
"skills": "", "education": "", "experience": "-1", "tools": "", "languages": "",
"mobility": "", "expertise_area": "", "activity_area": "", "list_diplomes": "",
"typeOf": "0", "source": "", "informationComments": "", "extract": 1, "experiences":
"[]"}'
- '{"type": "candidate", "customer_code": "", "title": "TECHNICIEN (pharma)", "skills":
"Bts (Comm Sw), C Programming Language, Data Encryption Standard, ELISA, Fabrication,
High Performance Liquid Chromatography (HPLC), Oracle, SAP", "education": "Bac3",
"experience": "10", "tools": "", "languages": "", "mobility": "Lyon", "expertise_area":
"industrie chimique, industrie pharmaceutique", "activity_area": "profiltechnicien",
"list_diplomes": "2012 - Licence - Bio Analyses et Contrôles - Lycée de la, option
physiologie - Université de la Doua", "typeOf": "-1", "source": "-1", "informationComments":
"", "extract": 1, "experiences": "[{''skills'': '''', ''startMonth'': '''', ''endDate'':
'''', ''startYear'': '''', ''description'': \"le service Amiante * Observation
macroscopique et définition de la filière de traitement de l''échantillon * Préparation
d''échantillons (broyage, filtration, dissolution ) pour déterminer s''il y a
présence d''amiante. Technicien d''analyse sur CPG et HPLC\", ''company'': '''',
''location'': '''', ''id'': ''16953'', ''title'': ''Technicien de production -
Carso - Vénissieux (69) - 01/06/2015 - 01/12/2015'', ''endMonth'': '''', ''endYear'':
'''', ''startDate'': ''''}, {''skills'': '''', ''startMonth'': '''', ''endDate'':
'''', ''startYear'': '''', ''description'': \"Sanofi Pasteur - Marcy-l''Étoile
(69) pour le service Manufacturing-Technologies * Prise de contact avec les demandeurs
d''analyses et réception d''échantillons. * Contrôle physico-chimique des excipients
et vaccins et écriture de rapports d''analyses * Rédaction du Mode Opératoire
Normalisé des O2 mètre et CO2 mètre\", ''company'': '''', ''location'': '''',
''id'': ''16954'', ''title'': ''Technicien de laboratoire - 01/02/2016 - 01/12/2016'',
''endMonth'': '''', ''endYear'': '''', ''startDate'': ''''}, {''skills'': '''',
''startMonth'': '''', ''endDate'': '''', ''startYear'': '''', ''description'':
\"en zone à atmosphère contrôlée de Classe C * Réalisation des opérations de production
dans le respect des exigences réglementaires (BPF / cGMP) * Mise à jour des documents
Qualité (Cahier de salle, Fiche de suivi d''équipement, SCADA, MES et SAP) * Utilisation
des appareils de mesure (pH, résistivité, test d''étanchéité, conductivité. .)
et autoclave\", ''company'': '''', ''location'': '''', ''id'': ''16955'', ''title'':
''Technicien de production - Sanofi Genzyme - Gerland (69) - 01/01/2017 - 01/12/2017'',
''endMonth'': '''', ''endYear'': '''', ''startDate'': ''''}]"}'
- source_sentence: '{"type": "opportunity", "customer_code": "", "opportunity_title":
".NET Developer", "opportunity_place": "", "opportunity_expertise_area": "Autres",
"opportunity_tools": "", "opportunity_activity_area": "", "opportunity_type":
"1", "opportunity_description": ".NET\nReact", "opportunity_criteria": "", "opportunity_extract":
1}'
sentences:
- '{"type": "candidate", "customer_code": "", "title": "Agile Back end Developer",
"skills": "", "education": "", "experience": "-1", "tools": "", "languages": "",
"mobility": "", "expertise_area": "", "activity_area": "", "list_diplomes": "",
"typeOf": "0", "source": "", "informationComments": "", "extract": 1, "experiences":
"[]"}'
- '{"type": "candidate", "customer_code": "", "title": "Consultant Data", "skills":
"", "education": "", "experience": "-1", "tools": "", "languages": "", "mobility":
"mondeeuropefrancerhonealpes", "expertise_area": "", "activity_area": "", "list_diplomes":
"", "typeOf": "-1", "source": "3", "informationComments": "pas à l''écoute", "extract":
1, "experiences": "[]"}'
- '{"type": "candidate", "customer_code": "", "title": "INGENIEUR D''ETUDES ET DEVELOPPEMENT",
"skills": "", "education": "", "experience": "-1", "tools": "", "languages": "",
"mobility": "", "expertise_area": "", "activity_area": "", "list_diplomes": "",
"typeOf": "0", "source": "", "informationComments": "", "extract": 1, "experiences":
"[]"}'
datasets:
- gguichard/matching_RH_train10
- gguichard/matching_RH_val10
pipeline_tag: sentence-similarity
library_name: sentence-transformers
---
# SentenceTransformer based on EuroBERT/EuroBERT-210m
This is a [sentence-transformers](https://www.SBERT.net) model finetuned from [EuroBERT/EuroBERT-210m](https://huggingface.co/EuroBERT/EuroBERT-210m) on the [matching_rh_train10](https://huggingface.co/datasets/gguichard/matching_RH_train10) 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:** [EuroBERT/EuroBERT-210m](https://huggingface.co/EuroBERT/EuroBERT-210m) <!-- at revision 25797134448b4c66f39791922c88150a83e3052d -->
- **Maximum Sequence Length:** 8192 tokens
- **Output Dimensionality:** 768 dimensions
- **Similarity Function:** Cosine Similarity
- **Training Dataset:**
- [matching_rh_train10](https://huggingface.co/datasets/gguichard/matching_RH_train10)
<!-- - **Language:** Unknown -->
<!-- - **License:** Unknown -->
### Model Sources
- **Documentation:** [Sentence Transformers Documentation](https://sbert.net)
- **Repository:** [Sentence Transformers on GitHub](https://github.com/UKPLab/sentence-transformers)
- **Hugging Face:** [Sentence Transformers on Hugging Face](https://huggingface.co/models?library=sentence-transformers)
### Full Model Architecture
```
SentenceTransformer(
(0): Transformer({'max_seq_length': 8192, 'do_lower_case': False, 'architecture': 'EuroBertModel'})
(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:
```bash
pip install -U sentence-transformers
```
Then you can load this model and run inference.
```python
from sentence_transformers import SentenceTransformer
# Download from the 🤗 Hub
model = SentenceTransformer("gguichard/matching-rh-peft3")
# Run inference
sentences = [
'{"type": "opportunity", "customer_code": "", "opportunity_title": ".NET Developer", "opportunity_place": "", "opportunity_expertise_area": "Autres", "opportunity_tools": "", "opportunity_activity_area": "", "opportunity_type": "1", "opportunity_description": ".NET\\nReact", "opportunity_criteria": "", "opportunity_extract": 1}',
'{"type": "candidate", "customer_code": "", "title": "Agile Back end Developer", "skills": "", "education": "", "experience": "-1", "tools": "", "languages": "", "mobility": "", "expertise_area": "", "activity_area": "", "list_diplomes": "", "typeOf": "0", "source": "", "informationComments": "", "extract": 1, "experiences": "[]"}',
'{"type": "candidate", "customer_code": "", "title": "Consultant Data", "skills": "", "education": "", "experience": "-1", "tools": "", "languages": "", "mobility": "mondeeuropefrancerhonealpes", "expertise_area": "", "activity_area": "", "list_diplomes": "", "typeOf": "-1", "source": "3", "informationComments": "pas à l\'écoute", "extract": 1, "experiences": "[]"}',
]
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, 0.8869, 0.1913],
# [0.8869, 1.0000, 0.2530],
# [0.1913, 0.2530, 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
#### matching_rh_train10
* Dataset: [matching_rh_train10](https://huggingface.co/datasets/gguichard/matching_RH_train10) at [601ef4d](https://huggingface.co/datasets/gguichard/matching_RH_train10/tree/601ef4d1cc57a77cffc8fa6e980e36ece37367a3)
* Size: 297,400 training samples
* Columns: <code>label</code>, <code>sentence1</code>, and <code>sentence2</code>
* Approximate statistics based on the first 1000 samples:
| | label | sentence1 | sentence2 |
|:--------|:---------------------------------------------------------------|:--------------------------------------------------------------------------------------|:---------------------------------------------------------------------------------------|
| type | float | string | string |
| details | <ul><li>min: 0.0</li><li>mean: 0.81</li><li>max: 1.0</li></ul> | <ul><li>min: 82 tokens</li><li>mean: 326.44 tokens</li><li>max: 1277 tokens</li></ul> | <ul><li>min: 95 tokens</li><li>mean: 1200.82 tokens</li><li>max: 6900 tokens</li></ul> |
* Samples:
| label | sentence1 | sentence2 |
|:-----------------|:------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| <code>1.0</code> | <code>{"type": "opportunity", "customer_code": "", "opportunity_title": "SIENNA - DEV DOT NET", "opportunity_place": "", "opportunity_expertise_area": "Banque", "opportunity_tools": "", "opportunity_activity_area": "", "opportunity_type": "1", "opportunity_description": "", "opportunity_criteria": "", "opportunity_extract": 1}</code> | <code>{"type": "candidate", "customer_code": "", "title": "Consultant Sénior Microsoft .NET", "skills": "", "education": "", "experience": "-1", "tools": "", "languages": "", "mobility": "", "expertise_area": "", "activity_area": "", "list_diplomes": "2007 - Master Management des projets informatiques et systèmes d'information, 2004 - Filière Informatique et Réseaux - ENSICAEN", "typeOf": "1", "source": "1", "informationComments": "", "extract": 1, "experiences": "[{'skills': '', 'startMonth': '6', 'endDate': '', 'startYear': '2004', 'description': 'AUTRES MISSIONS\\nA\\nIngénieur Conception et développement CALCIA\\nAnalyste - Responsable d’applications chez EDF\\nIngénieur Conception et Développement chez EDF\\nIngénieur Conception et Développement chez BNPPARIBAS', 'company': 'AUTRES MISSIONS', 'location': '', 'id': '2536', 'title': 'Ingénieur Conception et développement', 'endMonth': '11', 'endYear': '2008', 'startDate': ''}, {'skills': '.net, .net 2.0, asp.net, c#, front office, gamaweb...</code> |
| <code>1.0</code> | <code>{"type": "opportunity", "customer_code": "", "opportunity_title": "Consultant Mainframe - DGFIP - ONEPOINT", "opportunity_place": "", "opportunity_expertise_area": "Autres", "opportunity_tools": "", "opportunity_activity_area": "", "opportunity_type": "1", "opportunity_description": "", "opportunity_criteria": "", "opportunity_extract": 1}</code> | <code>{"type": "candidate", "customer_code": "", "title": "Ingénieur de développement\nPACBASE/COBOL/MAINFRAME\n2 ans et ½ d’expérience", "skills": "", "education": "", "experience": "-1", "tools": "", "languages": "français, anglais", "mobility": "mondeeuropefranceiledefranceparis, mondeeuropefranceiledefranceseineetmarne, mondeeuropefranceiledefranceyvelines, mondeeuropefranceiledefranceessone, mondeeuropefranceiledefrancehautsdeseine92, mondeeuropefranceiledefranceseinesaintdenis, mondeeuropefranceiledefrancevaldemarne, mondeeuropefranceiledefrancevaloise", "expertise_area": "", "activity_area": "", "list_diplomes": "2018 - Formation PACBASE - Banque Populaire Dijon, 2018 - Formation Cobol en alternance appliqué au contexte Descours & Cabaud - Alteca Lyon et Informatique, 2018 - Formation interne VBA EXCEL, 2018 - Formation Mainframe IBM/COBOL et Qualification logiciel - INTI Formation, 2016 - Master international Science de la matière - Université de Rouen", "typeOf": "1", "source": "3",...</code> |
| <code>1.0</code> | <code>{"type": "opportunity", "customer_code": "", "opportunity_title": "STIME responsable application adjoint", "opportunity_place": "", "opportunity_expertise_area": "Grande distribution", "opportunity_tools": "", "opportunity_activity_area": "", "opportunity_type": "1", "opportunity_description": "", "opportunity_criteria": "", "opportunity_extract": 1}</code> | <code>{"type": "candidate", "customer_code": "", "title": "Consultant AMOA- Chef de projet SI", "skills": "", "education": "", "experience": "-1", "tools": "", "languages": "anglais, espagnol", "mobility": "", "expertise_area": "", "activity_area": "", "list_diplomes": "2020 - CERTYOU Paris, 2019 - Certification SCRUM Master - Actinuum Paris, 2017 - Cycle Project Management Professional V5 PMP, 2015 - Urbanisation et architecture SI, 2014 - ITIL Fondation", "typeOf": "1", "source": "1", "informationComments": "", "extract": 1, "experiences": "[{'skills': 'crm, oracle parties, mep, dba, infrastructure, crm people soft, uml, power amc, sql query, oracle, hp quality', 'startMonth': '4', 'endDate': '', 'startYear': '2007', 'description': 'INWI\\nà\\nSynthèse :\\nParticipation à la mise en place du CRM pepoleSoft Oracle parties : vue 360°\\nclient , facture et réclamations.\\nRôle :\\nConsultant AMOA homologation\\nRéalisation :\\n\\uf0b7\\nCollecte de besoin métier.\\n\\uf0b7\\nRédaction de spéc...</code> |
* Loss: [<code>CosineSimilarityLoss</code>](https://sbert.net/docs/package_reference/sentence_transformer/losses.html#cosinesimilarityloss) with these parameters:
```json
{
"loss_fct": "torch.nn.modules.loss.MSELoss"
}
```
### Evaluation Dataset
#### matching_rh_val10
* Dataset: [matching_rh_val10](https://huggingface.co/datasets/gguichard/matching_RH_val10) at [16fd0da](https://huggingface.co/datasets/gguichard/matching_RH_val10/tree/16fd0da1a0b3d32f048df90b7ca4002d3e5119d7)
* Size: 17,380 evaluation samples
* Columns: <code>label</code>, <code>sentence1</code>, and <code>sentence2</code>
* Approximate statistics based on the first 1000 samples:
| | label | sentence1 | sentence2 |
|:--------|:---------------------------------------------------------------|:--------------------------------------------------------------------------------------|:--------------------------------------------------------------------------------------|
| type | float | string | string |
| details | <ul><li>min: 0.0</li><li>mean: 0.84</li><li>max: 1.0</li></ul> | <ul><li>min: 80 tokens</li><li>mean: 352.97 tokens</li><li>max: 3661 tokens</li></ul> | <ul><li>min: 90 tokens</li><li>mean: 615.01 tokens</li><li>max: 6579 tokens</li></ul> |
* Samples:
| label | sentence1 | sentence2 |
|:-----------------|:-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| <code>1.0</code> | <code>{"type": "opportunity", "customer_code": "", "opportunity_title": "DATA MANAGER - La POSTE", "opportunity_place": "", "opportunity_expertise_area": "Services", "opportunity_tools": "", "opportunity_activity_area": "", "opportunity_type": "1", "opportunity_description": "", "opportunity_criteria": "", "opportunity_extract": 1}</code> | <code>{"type": "candidate", "customer_code": "", "title": "Senior Consultant/Project Manager - Data Management", "skills": "", "education": "", "experience": "-1", "tools": "", "languages": "", "mobility": "", "expertise_area": "", "activity_area": "", "list_diplomes": "BACHELOR - Mathématiques Appliquées - stratégique Université Paris I Panthéon Sorbonne, DEUG - Option Statistique - stratégique Université Paris I Panthéon Sorbonne", "typeOf": "-1", "source": "1", "informationComments": "adresse perso consultant : 99 rue Alfred DININ 92000 Nanterre", "extract": 1, "experiences": "[{'skills': '', 'startMonth': '', 'endDate': '', 'startYear': '', 'description': \"Avril ❖Mission : * Automatisation et fiabilisation des calculs de l'inventaire de réassurance sur les produits de prévoyance individuelle commercialisés par les partenaires d'Axa France (SAS/SQL) * Etude de l'efficience et de la rentabilité des traités de réassurance mis en place pour sécuriser le portefeuille de ces produits (SAS/C++...</code> |
| <code>1.0</code> | <code>{"type": "opportunity", "customer_code": "", "opportunity_title": "BABILOU - Responsable infra", "opportunity_place": "", "opportunity_expertise_area": "Autres", "opportunity_tools": "", "opportunity_activity_area": "", "opportunity_type": "1", "opportunity_description": "", "opportunity_criteria": "", "opportunity_extract": 1}</code> | <code>{"type": "candidate", "customer_code": "", "title": "CHEF DE PROJET INFRASTRUCTURE", "skills": "", "education": "", "experience": "-1", "tools": "", "languages": "", "mobility": "", "expertise_area": "", "activity_area": "", "list_diplomes": "2020 - Microsoft Azure Artificial Intelligence - Microsoft Azure Fundamentals, 2014 - DEA - Probabilités et Applications - Université, 2003 - Diplôme d'ingénieur - Télécoms ENST ParisTech, 2003 - DEA - Signal et Communications Numériques - Université de Nice Sophia-Antipolis", "typeOf": "-1", "source": "1", "informationComments": "", "extract": 1, "experiences": "[{'skills': '', 'startMonth': '', 'endDate': '', 'startYear': '', 'description': '23 mois Études, architecture, ingénierie et paramétrage des réseaux de signalisation et de transit', 'company': '', 'location': '', 'id': '1947', 'title': 'Ingénieur accès fixe et mobile - Contexte - 01/10/2005 - 01/08/2007', 'endMonth': '', 'endYear': '', 'startDate': ''}, {'skills': '', 'startMonth': '', '...</code> |
| <code>1.0</code> | <code>{"type": "opportunity", "customer_code": "", "opportunity_title": "DGFIP - ONEPOINT - Consultant JCL", "opportunity_place": "", "opportunity_expertise_area": "Autres", "opportunity_tools": "", "opportunity_activity_area": "", "opportunity_type": "1", "opportunity_description": "", "opportunity_criteria": "", "opportunity_extract": 1}</code> | <code>{"type": "candidate", "customer_code": "", "title": "analyste developpeur pacbase cobol db2", "skills": "cobol, pacbase, db2, cics", "education": "", "experience": "-1", "tools": "", "languages": "", "mobility": "mondeeuropefranceiledefranceparis, mondeeuropefranceiledefranceseineetmarne, mondeeuropefranceiledefranceyvelines, mondeeuropefranceiledefranceessone, mondeeuropefranceiledefrancehautsdeseine92, mondeeuropefranceiledefranceseinesaintdenis, mondeeuropefranceiledefrancevaldemarne, mondeeuropefranceiledefrancevaloise", "expertise_area": "", "activity_area": "", "list_diplomes": "", "typeOf": "0", "source": "", "informationComments": "Sabrina Kadrie\n06 83 65 01 64\nsabrina20@orange.fr", "extract": 1, "experiences": "[]"}</code> |
* Loss: [<code>CosineSimilarityLoss</code>](https://sbert.net/docs/package_reference/sentence_transformer/losses.html#cosinesimilarityloss) with these parameters:
```json
{
"loss_fct": "torch.nn.modules.loss.MSELoss"
}
```
### Training Hyperparameters
#### Non-Default Hyperparameters
- `eval_strategy`: steps
- `per_device_train_batch_size`: 4
- `per_device_eval_batch_size`: 4
- `learning_rate`: 2e-05
- `num_train_epochs`: 1
- `warmup_ratio`: 0.1
- `log_level`: error
- `log_level_replica`: passive
- `log_on_each_node`: False
- `logging_nan_inf_filter`: False
- `bf16`: True
#### All Hyperparameters
<details><summary>Click to expand</summary>
- `overwrite_output_dir`: False
- `do_predict`: False
- `eval_strategy`: steps
- `prediction_loss_only`: True
- `per_device_train_batch_size`: 4
- `per_device_eval_batch_size`: 4
- `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`: 2e-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`: error
- `log_level_replica`: passive
- `log_on_each_node`: False
- `logging_nan_inf_filter`: False
- `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`: True
- `fp16`: False
- `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}
- `parallelism_config`: None
- `deepspeed`: None
- `label_smoothing_factor`: 0.0
- `optim`: adamw_torch_fused
- `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
- `hub_revision`: None
- `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
- `liger_kernel_config`: None
- `eval_use_gather_object`: False
- `average_tokens_across_devices`: False
- `prompts`: None
- `batch_sampler`: batch_sampler
- `multi_dataset_batch_sampler`: proportional
- `router_mapping`: {}
- `learning_rate_mapping`: {}
</details>
### Training Logs
<details><summary>Click to expand</summary>
| Epoch | Step | Training Loss | Validation Loss |
|:------:|:-----:|:-------------:|:---------------:|
| 0.0067 | 500 | 0.2078 | - |
| 0.0134 | 1000 | 0.1805 | - |
| 0.0202 | 1500 | 0.1644 | - |
| 0.0269 | 2000 | 0.1455 | - |
| 0.0336 | 2500 | 0.1326 | - |
| 0.0403 | 3000 | 0.132 | 0.1514 |
| 0.0471 | 3500 | 0.1292 | - |
| 0.0538 | 4000 | 0.1199 | - |
| 0.0605 | 4500 | 0.1223 | - |
| 0.0672 | 5000 | 0.1219 | - |
| 0.0740 | 5500 | 0.1116 | - |
| 0.0807 | 6000 | 0.1149 | 0.1483 |
| 0.0874 | 6500 | 0.1149 | - |
| 0.0941 | 7000 | 0.1243 | - |
| 0.1009 | 7500 | 0.1204 | - |
| 0.1076 | 8000 | 0.1116 | - |
| 0.1143 | 8500 | 0.109 | - |
| 0.1210 | 9000 | 0.111 | 0.1289 |
| 0.1278 | 9500 | 0.1168 | - |
| 0.1345 | 10000 | 0.1121 | - |
| 0.1412 | 10500 | 0.1054 | - |
| 0.1479 | 11000 | 0.1031 | - |
| 0.1547 | 11500 | 0.0994 | - |
| 0.1614 | 12000 | 0.0968 | 0.1204 |
| 0.1681 | 12500 | 0.0932 | - |
| 0.1748 | 13000 | 0.0978 | - |
| 0.1816 | 13500 | 0.0996 | - |
| 0.1883 | 14000 | 0.0974 | - |
| 0.1950 | 14500 | 0.095 | - |
| 0.2017 | 15000 | 0.0926 | 0.1139 |
| 0.2085 | 15500 | 0.0928 | - |
| 0.2152 | 16000 | 0.1007 | - |
| 0.2219 | 16500 | 0.0933 | - |
| 0.2286 | 17000 | 0.0903 | - |
| 0.2354 | 17500 | 0.0912 | - |
| 0.2421 | 18000 | 0.0927 | 0.1124 |
| 0.2488 | 18500 | 0.0927 | - |
| 0.2555 | 19000 | 0.1001 | - |
| 0.2623 | 19500 | 0.0951 | - |
| 0.2690 | 20000 | 0.0893 | - |
| 0.2757 | 20500 | 0.0874 | - |
| 0.2824 | 21000 | 0.0854 | 0.1100 |
| 0.2892 | 21500 | 0.0905 | - |
| 0.2959 | 22000 | 0.0858 | - |
| 0.3026 | 22500 | 0.0906 | - |
| 0.3093 | 23000 | 0.0899 | - |
| 0.3161 | 23500 | 0.0861 | - |
| 0.3228 | 24000 | 0.0934 | 0.1063 |
| 0.3295 | 24500 | 0.0995 | - |
| 0.3362 | 25000 | 0.0905 | - |
| 0.3430 | 25500 | 0.0875 | - |
| 0.3497 | 26000 | 0.074 | - |
| 0.3564 | 26500 | 0.0875 | - |
| 0.3631 | 27000 | 0.0821 | 0.1043 |
| 0.3699 | 27500 | 0.0877 | - |
| 0.3766 | 28000 | 0.0837 | - |
| 0.3833 | 28500 | 0.0854 | - |
| 0.3900 | 29000 | 0.0754 | - |
| 0.3968 | 29500 | 0.0803 | - |
| 0.4035 | 30000 | 0.0872 | 0.1029 |
| 0.4102 | 30500 | 0.0829 | - |
| 0.4169 | 31000 | 0.0841 | - |
| 0.4237 | 31500 | 0.0861 | - |
| 0.4304 | 32000 | 0.0827 | - |
| 0.4371 | 32500 | 0.0867 | - |
| 0.4438 | 33000 | 0.0808 | 0.1028 |
| 0.4506 | 33500 | 0.081 | - |
| 0.4573 | 34000 | 0.0789 | - |
| 0.4640 | 34500 | 0.0774 | - |
| 0.4707 | 35000 | 0.084 | - |
| 0.4775 | 35500 | 0.0866 | - |
| 0.4842 | 36000 | 0.0839 | 0.1010 |
| 0.4909 | 36500 | 0.0849 | - |
| 0.4976 | 37000 | 0.0834 | - |
| 0.5044 | 37500 | 0.0832 | - |
| 0.5111 | 38000 | 0.0739 | - |
| 0.5178 | 38500 | 0.077 | - |
| 0.5245 | 39000 | 0.0799 | 0.1016 |
| 0.5313 | 39500 | 0.0775 | - |
| 0.5380 | 40000 | 0.0788 | - |
| 0.5447 | 40500 | 0.0821 | - |
| 0.5514 | 41000 | 0.0796 | - |
| 0.5582 | 41500 | 0.0795 | - |
| 0.5649 | 42000 | 0.0836 | 0.0976 |
| 0.5716 | 42500 | 0.0783 | - |
| 0.5783 | 43000 | 0.082 | - |
| 0.5851 | 43500 | 0.0788 | - |
| 0.5918 | 44000 | 0.0849 | - |
| 0.5985 | 44500 | 0.0754 | - |
| 0.6052 | 45000 | 0.0764 | 0.0989 |
| 0.6120 | 45500 | 0.0736 | - |
| 0.6187 | 46000 | 0.0805 | - |
| 0.6254 | 46500 | 0.0788 | - |
| 0.6321 | 47000 | 0.0724 | - |
| 0.6389 | 47500 | 0.0833 | - |
| 0.6456 | 48000 | 0.0752 | 0.0972 |
| 0.6523 | 48500 | 0.0733 | - |
| 0.6590 | 49000 | 0.0686 | - |
| 0.6658 | 49500 | 0.0802 | - |
| 0.6725 | 50000 | 0.0817 | - |
| 0.6792 | 50500 | 0.0772 | - |
| 0.6859 | 51000 | 0.0746 | 0.0958 |
| 0.6927 | 51500 | 0.0742 | - |
| 0.6994 | 52000 | 0.0732 | - |
| 0.7061 | 52500 | 0.0711 | - |
| 0.7128 | 53000 | 0.0773 | - |
| 0.7196 | 53500 | 0.0782 | - |
| 0.7263 | 54000 | 0.0774 | 0.0953 |
| 0.7330 | 54500 | 0.0788 | - |
| 0.7397 | 55000 | 0.0667 | - |
| 0.7465 | 55500 | 0.0721 | - |
| 0.7532 | 56000 | 0.074 | - |
| 0.7599 | 56500 | 0.0698 | - |
| 0.7666 | 57000 | 0.0703 | 0.0948 |
| 0.7734 | 57500 | 0.0718 | - |
| 0.7801 | 58000 | 0.0764 | - |
| 0.7868 | 58500 | 0.078 | - |
| 0.7935 | 59000 | 0.0784 | - |
| 0.8003 | 59500 | 0.0771 | - |
| 0.8070 | 60000 | 0.0766 | 0.0937 |
| 0.8137 | 60500 | 0.0758 | - |
| 0.8204 | 61000 | 0.0747 | - |
| 0.8272 | 61500 | 0.0814 | - |
| 0.8339 | 62000 | 0.0719 | - |
| 0.8406 | 62500 | 0.067 | - |
| 0.8473 | 63000 | 0.0717 | 0.0937 |
| 0.8541 | 63500 | 0.0732 | - |
| 0.8608 | 64000 | 0.0755 | - |
| 0.8675 | 64500 | 0.0749 | - |
| 0.8742 | 65000 | 0.072 | - |
| 0.8810 | 65500 | 0.071 | - |
| 0.8877 | 66000 | 0.0702 | 0.0923 |
| 0.8944 | 66500 | 0.0676 | - |
| 0.9011 | 67000 | 0.0753 | - |
| 0.9079 | 67500 | 0.0734 | - |
| 0.9146 | 68000 | 0.0654 | - |
| 0.9213 | 68500 | 0.073 | - |
| 0.9280 | 69000 | 0.0703 | 0.0922 |
| 0.9348 | 69500 | 0.07 | - |
| 0.9415 | 70000 | 0.0716 | - |
| 0.9482 | 70500 | 0.0811 | - |
| 0.9549 | 71000 | 0.0722 | - |
| 0.9617 | 71500 | 0.0697 | - |
| 0.9684 | 72000 | 0.0746 | 0.0915 |
| 0.9751 | 72500 | 0.0768 | - |
| 0.9818 | 73000 | 0.0691 | - |
| 0.9886 | 73500 | 0.0718 | - |
| 0.9953 | 74000 | 0.0707 | - |
</details>
### Framework Versions
- Python: 3.10.16
- Sentence Transformers: 5.1.1
- Transformers: 4.56.2
- PyTorch: 2.8.0+cu128
- Accelerate: 1.10.1
- Datasets: 4.1.1
- Tokenizers: 0.22.1
## Citation
### BibTeX
#### Sentence Transformers
```bibtex
@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",
}
```
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