Instructions to use IoannisKat1/distilbert-base-uncased-ft-new with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use IoannisKat1/distilbert-base-uncased-ft-new with sentence-transformers:

from sentence_transformers import SentenceTransformer

model = SentenceTransformer("IoannisKat1/distilbert-base-uncased-ft-new")

sentences = [
    "What is required for the transmission of personal data directly from one controller to another?",
    "1.Processing of personal data revealing racial or ethnic origin, political opinions, religious or philosophical beliefs, or trade union membership, and the processing of genetic data, biometric data for the purpose of uniquely identifying a natural person, data concerning health or data concerning a natural person's sex life or sexual orientation shall be prohibited.\n2.Paragraph 1 shall not apply if one of the following applies: (a)  the data subject has given explicit consent to the processing of those personal data for one or more specified purposes, except where Union or Member State law provide that the prohibition referred to in paragraph 1 may not be lifted by the data subject; (b)  processing is necessary for the purposes of carrying out the obligations and exercising specific rights of the controller or of the data subject in the field of employment and social security and social protection law in so far as it is authorised by Union or Member State law or a collective agreement pursuant to Member State law providing for appropriate safeguards for the fundamental rights and the interests of the data subject; (c)  processing is necessary to protect the vital interests of the data subject or of another natural person where the data subject is physically or legally incapable of giving consent; (d)  processing is carried out in the course of its legitimate activities with appropriate safeguards by a foundation, association or any other not-for-profit body with a political, philosophical, religious or trade union aim and on condition that the processing relates solely to the members or to former members of the body or to persons who have regular contact with it in connection with its purposes and that the personal data are not disclosed outside that body without the consent of the data subjects; (e)  processing relates to personal data which are manifestly made public by the data subject; (f)  processing is necessary for the establishment, exercise or defence of legal claims or whenever courts are acting in their judicial capacity; (g)  processing is necessary for reasons of substantial public interest, on the basis of Union or Member State law which shall be proportionate to the aim pursued, respect the essence of the right to data protection and provide for suitable and specific measures to safeguard the fundamental rights and the interests of the data subject; (h)  processing is necessary for the purposes of preventive or occupational medicine, for the assessment of the working capacity of the employee, medical diagnosis, the provision of health or social care or treatment or the management of health or social care systems and services on the basis of Union or Member State law or pursuant to contract with a health professional and subject to the conditions and safeguards referred to in paragraph 3; (i)  processing is necessary for reasons of public interest in the area of public health, such as protecting against serious cross-border threats to health or ensuring high standards of quality and safety of health care and of medicinal products or medical devices, on the basis of Union or Member State law which provides for suitable and specific measures to safeguard the rights and freedoms of the data subject, in particular professional secrecy; 4.5.2016 L 119/38   (j)  processing is necessary for archiving purposes in the public interest, scientific or historical research purposes or statistical purposes in accordance with Article 89(1) based on Union or Member State law which shall be proportionate to the aim pursued, respect the essence of the right to data protection and provide for suitable and specific measures to safeguard the fundamental rights and the interests of the data subject.\n3.Personal data referred to in paragraph 1 may be processed for the purposes referred to in point (h) of paragraph 2 when those data are processed by or under the responsibility of a professional subject to the obligation of professional secrecy under Union or Member State law or rules established by national competent bodies or by another person also subject to an obligation of secrecy under Union or Member State law or rules established by national competent bodies.\n4.Member States may maintain or introduce further conditions, including limitations, with regard to the processing of genetic data, biometric data or data concerning health.",
    "1.The data subject shall have the right to receive the personal data concerning him or her, which he or she has provided to a controller, in a structured, commonly used and machine-readable format and have the right to transmit those data to another controller without hindrance from the controller to which the personal data have been provided, where: (a)  the processing is based on consent pursuant to point (a) of Article 6(1) or point (a) of Article 9(2) or on a contract pursuant to point (b) of Article 6(1); and (b)  the processing is carried out by automated means.\n2.In exercising his or her right to data portability pursuant to paragraph 1, the data subject shall have the right to have the personal data transmitted directly from one controller to another, where technically feasible.\n3.The exercise of the right referred to in paragraph 1 of this Article shall be without prejudice to Article 17. That right shall not apply to processing necessary for the performance of a task carried out in the public interest or in the exercise of official authority vested in the controller.\n4.The right referred to in paragraph 1 shall not adversely affect the rights and freedoms of others. Section 4 Right to object and automated individual decision-making",
    "**Court (Civil/Criminal): Civil**  \n**Provisions:**  \n**Time of commission of the act:**  \n**Outcome (not guilty, guilty):**  \n**Reasoning:** Partially accepts the lawsuit.  \n**Facts:** The plaintiff, who works as a lawyer, maintains a savings account with the defendant banking corporation under account number GR.............. Pursuant to a contract dated June 11, 2010, established in Thessaloniki between the defendant and the plaintiff, the plaintiff was granted access to the electronic banking system (e-banking) to conduct banking transactions remotely. On October 10, 2020, the plaintiff fell victim to electronic fraud through the \"phishing\" method, whereby an unknown perpetrator managed to extract and transfer €3,000.00 from the plaintiff’s account to another account of the same bank. Specifically, on that day at 6:51 a.m., the plaintiff received an email from the sender \".........\", with the address ..........., informing him that his debit card had been suspended and that online payments and cash withdrawals could not be made until the issue was resolved. The email urged him to confirm his details within the next 72 hours by following a link titled \"card activation.\"  \nThe plaintiff read the above email on his mobile phone around 8:00 a.m., and believing it came from the defendant, he followed the instructions and accessed a website that was identical (a clone) to that of the defendant. On this page, he was asked to enter his login credentials to connect to the service, which he did, and he was subsequently asked to input his debit card details for the alleged activation, which he also provided. Then, to complete the process, a number was sent to his mobile phone at 8:07 a.m. from the sender ........, which he entered, and two minutes later he received a message from the same sender in English stating that the quick access code had been activated on his mobile. A few minutes later, at 8:18 a.m., he received an email from the defendant informing him of the transfer of €3,000.00 from his account to account number GR ........... held at the same bank, with the beneficiary's details being .......... As soon as the plaintiff read this, he immediately called the defendant's call center and canceled his debit card, the access codes for the service ......., and locked the application .......... At the same time, he verbally submitted a request to dispute and cancel the contested transaction, and in a subsequent phone call, he also canceled his credit card. On the same day, he also sent an email to the defendant informing them in writing of the above and requesting the cancellation of the transaction and the return of the amount of €3,000.00 to his account, as this transfer was not made by him but by an unknown perpetrator through electronic fraud and was not approved by him. It should also be noted that the plaintiff, as the sole beneficiary according to the aforementioned contract for using the defendant's Internet Banking service, never received any update via SMS or the VIBER application from the bank regarding the transaction details before its completion, nor did he receive a one-time code (OTP) to approve the contested transaction. He subsequently filed a complaint against unknown persons at the Cyber Crime Division for the crime of fraud. The defendant sent an email to the plaintiff on October 16, 2020, informing him that his request had been forwarded to the appropriate department of the bank for investigation, stating that the bank would never send him an email or SMS asking him to enter his personal data and that as of October 7, 2020, there was a notice posted for its customers regarding malicious attempts to steal personal data in the \"Our News\" section on ....... A month after the disputed incident, on November 10, 2020, an amount of €2,296.82 was transferred to the plaintiff's account from the account to which the fraudulent credit had been made. The plaintiff immediately sent an email to the defendant asking to be informed whether this transfer was a return of part of the amount that had been illegally withdrawn from his account and requested the return of the remaining amount of €703.18. In its response dated January 13, 2021, the defendant confirmed that the aforementioned amount indeed came from the account to which the fraudulent credit had been made, following a freeze of that account initiated by the defendant during the investigation of the incident, but refused to return the remaining amount, claiming it bore no responsibility for the leak of the personal codes to third parties, according to the terms of the service contract established between them.  \nFrom the entirety of the evidence presented to the court, there is no indication of the authenticity of the contested transaction, as the plaintiff did not give his consent for the execution of the transfer of the amount of €3,000.00, especially in light of the provision in Article 72 paragraph 2 of Law 4537/2018 stating that the mere use of the Internet Banking service by the plaintiff does not necessarily constitute sufficient evidence that the payer approved the payment action. Specifically, it was proven that the contested transaction was not carried out following a strong identification of the plaintiff – the sole beneficiary of the account – and his approval, as the latter may have entered his personal codes on the counterfeit website; however, he was never informed, before the completion of the contested transaction, of the amount that would be transferred from his account to a third-party account, nor did he receive on his mobile phone, either via SMS or through the VIBER application or any other means, the one-time code - extra PIN for its completion, which he was required to enter to approve the contested transaction (payment action) and thus complete his identification, a fact that was not countered by any evidence from the defendant. Furthermore, it is noted that the defendant's claims that it bears no responsibility under the terms of the banking services contract, whereby it is not liable for any damage to its customer in cases of unauthorized use of their personal access codes to the Internet Banking service, are to be rejected as fundamentally unfounded. This is because the aforementioned contractual terms are invalid according to the provision of Article 103 of Law 4537/2018, as they contradict the provisions of Articles 71, 73, and 92 of the same Law, which provide for the provider's universal liability and its exemption only for unusual and unforeseen circumstances that are beyond the control of the party invoking them and whose consequences could not have been avoided despite all efforts to the contrary; these provisions establish mandatory law in favor of users, as according to Article 103 of Law 4537/2018, payment service providers are prohibited from deviating from the provisions to the detriment of payment service users, unless the possibility of deviation is explicitly provided and they can decide to offer only more favorable terms to payment service users; the aforementioned contractual terms do not constitute more favorable terms but rather disadvantageous terms for the payment service user. In this case, however, the defendant did not prove the authenticity of the transaction and its approval by the plaintiff and did not invoke, nor did any unusual and unforeseen circumstances beyond its control, the consequences of which could not have been avoided despite all efforts to the contrary, come to light. Therefore, the contested transaction transferring the amount of €3,000.00 is considered, in the absence of demonstrable consent from the plaintiff, unapproved according to the provisions of Article 64 of Law 4537/2018, and the defendant's contrary claims are rejected, especially since the plaintiff proceeded, according to Article 71 paragraph 1 of Law 4537/2018, without undue delay to notify the defendant regarding the contested unapproved payment action. Consequently, the defendant is liable for compensating the plaintiff for the positive damage he suffered under Article 73 of Law 4537/2018 and is obliged to pay him the requested amount of €703.18, while the plaintiff’s fault in the occurrence of this damage cannot be established, as he entered his personal details in an online environment that was a faithful imitation of that of the defendant, as evidenced by the comparison of the screenshots of the fake website and the real website provided by the plaintiff, a fact that he could not have known while being fully convinced that he was transacting with the defendant. Furthermore, the defendant’s liability to compensate the plaintiff is based on the provision of Article 8 of Law 2251/1994, which applies in this case, as the plaintiff's damage resulted from inadequate fulfillment of its obligations in the context of providing its services, but also on the provision of Article 914 of the Civil Code in the sense of omission on its part of unlawfully and culpably imposed actions. In this case, given that during the relevant period there had been a multitude of similar incidents of fraud against the defendant's customers, the latter, as a service provider to the consumer public and bearing transactional obligations of care and security towards them, displayed gross negligence regarding the security provided for electronic transaction services, which was compromised by the fraudulent theft of funds, as it did not comply with all required high-security measures for executing the contested transaction, failing to implement the strict customer identification verification process and to check the authenticity of the account to which the funds were sent, thus not assuming the suspicious nature of the transaction, did not adopt comprehensive and improved protective measures to fully protect its customers against malicious attacks and online fraud and to prevent the infiltration of unauthorized third parties, nor did it fulfill its obligations to inform, accurately inform, and warn its consumers - customers, as it failed to adequately inform them of attempts to steal their personal data through the sending of informative emails or SMS, while merely posting in a section rather than on a central banner (as it later did) does not constitute adequate information such that it meets the requirement of protecting its customers and the increased safeguarding of their interests. Although the plaintiff acted promptly and informed the defendant on the same day about the contested incident, the defendant did not act as promptly regarding the investigation of the incident and the freezing of the account that held the fraudulent credit to prevent the plaintiff's loss, but only returned part of the funds to the plaintiff a month later. This behavior, beyond being culpable due to gross negligence, was also unlawful, as it would have been illegal even without the contractual relationship, as contrary to the provisions of Law 4537/2018 and Law 2251/1994, regarding the lack of security of the services that the consumer is legitimately entitled to expect, as well as the building of trust that is essential in banking transactions, elements that it was obligated to provide within the sphere of the services offered, and contrary to the principles of good faith and commercial ethics, as crystallized in the provision of Article 288 of the Civil Code, as well as the general duty imposed by Article 914 of the Civil Code not to cause harm to another culpably. This resulted not only in positive damage to the plaintiff but also in causing him moral harm consisting of his mental distress and the disruption, agitation, and sorrow he experienced, for which he must be awarded financial compensation. Taking into account all the general circumstances of the case, the extent of the plaintiff's damage, the severity of the defendant's fault, the mental distress suffered by the plaintiff, the insecurity he felt regarding his deposits, the sorrow he experienced, and the stress caused by his financial loss, which occurred during the pandemic period when his earnings from his professional activity had significantly decreased, as well as the financial and social situation of the parties, it is the court's opinion that he should be granted, as financial compensation for his moral harm, an amount of €250.00, which is deemed reasonable and fair. Therefore, the total monetary amount that the plaintiff is entitled to for his positive damage and financial compensation for the moral harm suffered amounts to a total of (€703.18 + €250.00) = €953.18."
]
embeddings = model.encode(sentences)

similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [4, 4]

Notebooks
Google Colab
Kaggle

distilbert_base_uncased Finetuned on Data

This is a sentence-transformers model finetuned from distilbert/distilbert-base-uncased. 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: distilbert/distilbert-base-uncased
Maximum Sequence Length: 512 tokens
Output Dimensionality: 768 dimensions
Similarity Function: Cosine Similarity
Language: en
License: apache-2.0

Model Sources

Documentation: Sentence Transformers Documentation
Repository: Sentence Transformers on GitHub
Hugging Face: Sentence Transformers on Hugging Face

Full Model Architecture

SentenceTransformer(
  (0): Transformer({'max_seq_length': 512, 'do_lower_case': False, 'architecture': 'DistilBertModel'})
  (1): Pooling({'word_embedding_dimension': 768, 'pooling_mode_cls_token': False, 'pooling_mode_mean_tokens': True, 'pooling_mode_max_tokens': False, 'pooling_mode_mean_sqrt_len_tokens': False, 'pooling_mode_weightedmean_tokens': False, 'pooling_mode_lasttoken': False, 'include_prompt': True})
)

Usage

Direct Usage (Sentence Transformers)

First install the Sentence Transformers library:

pip install -U sentence-transformers

Then you can load this model and run inference.

from sentence_transformers import SentenceTransformer

# Download from the 🤗 Hub
model = SentenceTransformer("sentence_transformers_model_id")
# Run inference
sentences = [
    'What conditions must be met for a transfer of personal data to a third country or international organisation?',
    "1.In the absence of an adequacy decision pursuant to Article 45(3), or of appropriate safeguards pursuant to Article 46, including binding corporate rules, a transfer or a set of transfers of personal data to a third country or an international organisation shall take place only on one of the following conditions: (a)  the data subject has explicitly consented to the proposed transfer, after having been informed of the possible risks of such transfers for the data subject due to the absence of an adequacy decision and appropriate safeguards; (b)  the transfer is necessary for the performance of a contract between the data subject and the controller or the implementation of pre-contractual measures taken at the data subject's request; (c)  the transfer is necessary for the conclusion or performance of a contract concluded in the interest of the data subject between the controller and another natural or legal person; (d)  the transfer is necessary for important reasons of public interest; (e)  the transfer is necessary for the establishment, exercise or defence of legal claims; (f)  the transfer is necessary in order to protect the vital interests of the data subject or of other persons, where the data subject is physically or legally incapable of giving consent; (g)  the transfer is made from a register which according to Union or Member State law is intended to provide information to the public and which is open to consultation either by the public in general or by any person who can demonstrate a legitimate interest, but only to the extent that the conditions laid down by Union or Member State law for consultation are fulfilled in the particular case. Where a transfer could not be based on a provision in Article 45 or 46, including the provisions on binding corporate rules, and none of the derogations for a specific situation referred to in the first subparagraph of this paragraph is applicable, a transfer to a third country or an international organisation may take place only if the transfer is not repetitive, concerns only a limited number of data subjects, is necessary for the purposes of compelling legitimate interests pursued by the controller which are not overridden by the interests or rights and freedoms of the data subject, and the controller has assessed all the circumstances surrounding the data transfer and has on the basis of that assessment provided suitable safeguards with regard to the protection of personal data. The controller shall inform the supervisory authority of the transfer. The controller shall, in addition to providing the information referred to in Articles 13 and 14, inform the data subject of the transfer and on the compelling legitimate interests pursued.\n2.A transfer pursuant to point (g) of the first subparagraph of paragraph 1 shall not involve the entirety of the personal data or entire categories of the personal data contained in the register. Where the register is intended for consultation by persons having a legitimate interest, the transfer shall be made only at the request of those persons or if they are to be the recipients. 4.5.2016 L 119/64  \n3.Points (a), (b) and (c) of the first subparagraph of paragraph 1 and the second subparagraph thereof shall not apply to activities carried out by public authorities in the exercise of their public powers.\n4.The public interest referred to in point (d) of the first subparagraph of paragraph 1 shall be recognised in Union law or in the law of the Member State to which the controller is subject.\n5.In the absence of an adequacy decision, Union or Member State law may, for important reasons of public interest, expressly set limits to the transfer of specific categories of personal data to a third country or an international organisation. Member States shall notify such provisions to the Commission.\n6.The controller or processor shall document the assessment as well as the suitable safeguards referred to in the second subparagraph of paragraph 1 of this Article in the records referred to in Article 30.",
    '1.A transfer of personal data to a third country or an international organisation may take place where the Commission has decided that the third country, a territory or one or more specified sectors within that third country, or the international organisation in question ensures an adequate level of protection. Such a transfer shall not require any specific authorisation.\n2.When assessing the adequacy of the level of protection, the Commission shall, in particular, take account of the following elements: (a)  the rule of law, respect for human rights and fundamental freedoms, relevant legislation, both general and sectoral, including concerning public security, defence, national security and criminal law and the access of public authorities to personal data, as well as the implementation of such legislation, data protection rules, professional rules and security measures, including rules for the onward transfer of personal data to another third country or international organisation which are complied with in that country or international organisation, case-law, as well as effective and enforceable data subject rights and effective administrative and judicial redress for the data subjects whose personal data are being transferred; (b)  the existence and effective functioning of one or more independent supervisory authorities in the third country or to which an international organisation is subject, with responsibility for ensuring and enforcing compliance with the data protection rules, including adequate enforcement powers, for assisting and advising the data subjects in exercising their rights and for cooperation with the supervisory authorities of the Member States; and (c)  the international commitments the third country or international organisation concerned has entered into, or other obligations arising from legally binding conventions or instruments as well as from its participation in multilateral or regional systems, in particular in relation to the protection of personal data.\n3.The Commission, after assessing the adequacy of the level of protection, may decide, by means of implementing act, that a third country, a territory or one or more specified sectors within a third country, or an international organisation ensures an adequate level of protection within the meaning of paragraph 2 of this Article. The implementing act shall provide for a mechanism for a periodic review, at least every four years, which shall take into account all relevant developments in the third country or international organisation. The implementing act shall specify its territorial and sectoral application and, where applicable, identify the supervisory authority or authorities referred to in point (b) of paragraph 2 of this Article. The implementing act shall be adopted in accordance with the examination procedure referred to in Article 93(2).\n4.The Commission shall, on an ongoing basis, monitor developments in third countries and international organisations that could affect the functioning of decisions adopted pursuant to paragraph 3 of this Article and decisions adopted on the basis of Article 25(6) of Directive 95/46/EC.\n5.The Commission shall, where available information reveals, in particular following the review referred to in paragraph 3 of this Article, that a third country, a territory or one or more specified sectors within a third country, or an international organisation no longer ensures an adequate level of protection within the meaning of paragraph 2 of this Article, to the extent necessary, repeal, amend or suspend the decision referred to in paragraph 3 of this Article by means of implementing acts without retro-active effect. Those implementing acts shall be adopted in accordance with the examination procedure referred to in Article 93(2). On duly justified imperative grounds of urgency, the Commission shall adopt immediately applicable implementing acts in accordance with the procedure referred to in Article 93(3).\n6.The Commission shall enter into consultations with the third country or international organisation with a view to remedying the situation giving rise to the decision made pursuant to paragraph 5\n7.A decision pursuant to paragraph 5 of this Article is without prejudice to transfers of personal data to the third country, a territory or one or more specified sectors within that third country, or the international organisation in question pursuant to Articles 46 to 49\n8.The Commission shall publish in the Official Journal of the European Union and on its website a list of the third countries, territories and specified sectors within a third country and international organisations for which it has decided that an adequate level of protection is or is no longer ensured.\n9.Decisions adopted by the Commission on the basis of Article 25(6) of Directive 95/46/EC shall remain in force until amended, replaced or repealed by a Commission Decision adopted in accordance with paragraph 3 or 5 of this Article.',
]
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, 0.5938, 0.2941],
#         [0.5938, 1.0000, 0.3453],
#         [0.2941, 0.3453, 1.0000]])

Evaluation

Metrics

Information Retrieval

Dataset: dim_768
Evaluated with InformationRetrievalEvaluator with these parameters:
```
{
    "truncate_dim": 768
}
```

Metric	Value
cosine_accuracy@1	0.3808
cosine_accuracy@3	0.4103
cosine_accuracy@5	0.4521
cosine_accuracy@10	0.5184
cosine_precision@1	0.3808
cosine_precision@3	0.3661
cosine_precision@5	0.3445
cosine_precision@10	0.3118
cosine_recall@1	0.0787
cosine_recall@3	0.1947
cosine_recall@5	0.2635
cosine_recall@10	0.3855
cosine_ndcg@10	0.4406
cosine_mrr@10	0.4091
cosine_map@100	0.4988

Information Retrieval

Dataset: dim_512
Evaluated with InformationRetrievalEvaluator with these parameters:
```
{
    "truncate_dim": 512
}
```

Metric	Value
cosine_accuracy@1	0.3587
cosine_accuracy@3	0.3857
cosine_accuracy@5	0.4324
cosine_accuracy@10	0.5012
cosine_precision@1	0.3587
cosine_precision@3	0.344
cosine_precision@5	0.3258
cosine_precision@10	0.3015
cosine_recall@1	0.0737
cosine_recall@3	0.181
cosine_recall@5	0.2484
cosine_recall@10	0.3729
cosine_ndcg@10	0.4219
cosine_mrr@10	0.3883
cosine_map@100	0.4801

Information Retrieval

Dataset: dim_256
Evaluated with InformationRetrievalEvaluator with these parameters:
```
{
    "truncate_dim": 256
}
```

Metric	Value
cosine_accuracy@1	0.3538
cosine_accuracy@3	0.3931
cosine_accuracy@5	0.4398
cosine_accuracy@10	0.5111
cosine_precision@1	0.3538
cosine_precision@3	0.3456
cosine_precision@5	0.3307
cosine_precision@10	0.3076
cosine_recall@1	0.0699
cosine_recall@3	0.1774
cosine_recall@5	0.2476
cosine_recall@10	0.3689
cosine_ndcg@10	0.4225
cosine_mrr@10	0.3866
cosine_map@100	0.4776

Information Retrieval

Dataset: dim_128
Evaluated with InformationRetrievalEvaluator with these parameters:
```
{
    "truncate_dim": 128
}
```

Metric	Value
cosine_accuracy@1	0.3514
cosine_accuracy@3	0.3759
cosine_accuracy@5	0.4054
cosine_accuracy@10	0.4644
cosine_precision@1	0.3514
cosine_precision@3	0.3399
cosine_precision@5	0.3189
cosine_precision@10	0.2835
cosine_recall@1	0.0679
cosine_recall@3	0.1707
cosine_recall@5	0.233
cosine_recall@10	0.337
cosine_ndcg@10	0.3977
cosine_mrr@10	0.3739
cosine_map@100	0.4555

Information Retrieval

Dataset: dim_64
Evaluated with InformationRetrievalEvaluator with these parameters:
```
{
    "truncate_dim": 64
}
```

Metric	Value
cosine_accuracy@1	0.317
cosine_accuracy@3	0.3489
cosine_accuracy@5	0.3882
cosine_accuracy@10	0.43
cosine_precision@1	0.317
cosine_precision@3	0.3063
cosine_precision@5	0.2924
cosine_precision@10	0.2587
cosine_recall@1	0.0654
cosine_recall@3	0.1631
cosine_recall@5	0.2268
cosine_recall@10	0.3163
cosine_ndcg@10	0.3669
cosine_mrr@10	0.3412
cosine_map@100	0.4308

Training Details

Training Dataset

Unnamed Dataset

Size: 1,627 training samples
Columns: anchor and positive
Approximate statistics based on the first 1000 samples:
anchor positive
type string string
details
min: 7 tokens
mean: 15.49 tokens
max: 37 tokens

min: 25 tokens
mean: 370.97 tokens
max: 512 tokens

	anchor	positive
type	string	string
details	min: 7 tokens mean: 15.49 tokens max: 37 tokens	min: 25 tokens mean: 370.97 tokens max: 512 tokens

Samples:

anchor	positive
`Who did the plaintiff maintain a joint account with?`	Court (Civil/Criminal): Provisions: Articles 8 of Law 2251/1994, Articles 2, 4, 48 et seq. of Law 4537/2018, Article 11 paragraph 1 of Law 4261/2014, Articles 830, 806, 827, 914, 932 of the Civil Code and 176 of the Code of Civil Procedure. Time of commission of the act: Outcome (not guilty, guilty): Rationale: Electronic fraud through the method of phishing. A third party fraudulently obtained money from the plaintiff's bank account and transferred it to another bank account. Both the defendant is liable for the inadequate protection of its systems, which should have been excellent, and the plaintiff who failed to fulfill his obligation to protect his information and disregarded the defendant's security instructions. Law 4537/2018 introduces mandatory law in favor of users, as according to Article 103, payment service providers are prohibited from deviating from the provisions to the detriment of payment service users. It is determined that a resumption of the discussion should be...
`When was the Official Journal of the European Union published?`	In order to create incentives to apply pseudonymisation when processing personal data, measures of pseudonymisation should, whilst allowing general analysis, be possible within the same controller when that controller has taken technical and organisational measures necessary to ensure, for the processing concerned, that this Regulation is implemented, and that additional information for attributing the personal data to a specific data subject is kept separately. The controller processing the personal data should indicate the authorised persons within the same controller. 4.5.2016 L 119/5 Official Journal of the European Union EN
`What should the controller be able to request before delivering information?`	A data subject should have the right of access to personal data which have been collected concerning him or her, and to exercise that right easily and at reasonable intervals, in order to be aware of, and verify, the lawfulness of the processing. This includes the right for data subjects to have access to data concerning their health, for example the data in their medical records containing information such as diagnoses, examination results, assessments by treating physicians and any treatment or interventions provided. Every data subject should therefore have the right to know and obtain communication in particular with regard to the purposes for which the personal data are processed, where possible the period for which the personal data are processed, the recipients of the personal data, the logic involved in any automatic personal data processing and, at least when based on profiling, the consequences of such processing. Where possible, the controller should be able to provide remot...

Loss: MatryoshkaLoss with these parameters:

{
    "loss": "MultipleNegativesRankingLoss",
    "matryoshka_dims": [
        768,
        512,
        256,
        128,
        64
    ],
    "matryoshka_weights": [
        1,
        1,
        1,
        1,
        1
    ],
    "n_dims_per_step": -1
}

Training Hyperparameters

Non-Default Hyperparameters

eval_strategy: epoch
gradient_accumulation_steps: 2
learning_rate: 2e-05
num_train_epochs: 10
lr_scheduler_type: cosine
warmup_ratio: 0.1
bf16: True
tf32: True
load_best_model_at_end: True
optim: adamw_torch_fused
batch_sampler: no_duplicates

All Hyperparameters

Click to expand

overwrite_output_dir: False
do_predict: False
eval_strategy: epoch
prediction_loss_only: True
per_device_train_batch_size: 8
per_device_eval_batch_size: 8
per_gpu_train_batch_size: None
per_gpu_eval_batch_size: None
gradient_accumulation_steps: 2
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: 10
max_steps: -1
lr_scheduler_type: cosine
lr_scheduler_kwargs: {}
warmup_ratio: 0.1
warmup_steps: 0
log_level: passive
log_level_replica: warning
log_on_each_node: True
logging_nan_inf_filter: True
save_safetensors: True
save_on_each_node: False
save_only_model: False
restore_callback_states_from_checkpoint: False
no_cuda: False
use_cpu: False
use_mps_device: False
seed: 42
data_seed: None
jit_mode_eval: False
use_ipex: False
bf16: True
fp16: False
fp16_opt_level: O1
half_precision_backend: auto
bf16_full_eval: False
fp16_full_eval: False
tf32: True
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: True
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}
tp_size: 0
fsdp_transformer_layer_cls_to_wrap: None
accelerator_config: {'split_batches': False, 'dispatch_batches': None, 'even_batches': True, 'use_seedable_sampler': True, 'non_blocking': False, 'gradient_accumulation_kwargs': None}
deepspeed: None
label_smoothing_factor: 0.0
optim: adamw_torch_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
gradient_checkpointing: False
gradient_checkpointing_kwargs: None
include_inputs_for_metrics: False
include_for_metrics: []
eval_do_concat_batches: True
fp16_backend: auto
push_to_hub_model_id: None
push_to_hub_organization: None
mp_parameters:
auto_find_batch_size: False
full_determinism: False
torchdynamo: None
ray_scope: last
ddp_timeout: 1800
torch_compile: False
torch_compile_backend: None
torch_compile_mode: None
include_tokens_per_second: False
include_num_input_tokens_seen: False
neftune_noise_alpha: None
optim_target_modules: None
batch_eval_metrics: False
eval_on_start: False
use_liger_kernel: False
eval_use_gather_object: False
average_tokens_across_devices: False
prompts: None
batch_sampler: no_duplicates
multi_dataset_batch_sampler: proportional
router_mapping: {}
learning_rate_mapping: {}

Training Logs

Click to expand

Epoch	Step	Training Loss	dim_768_cosine_ndcg@10	dim_512_cosine_ndcg@10	dim_256_cosine_ndcg@10	dim_128_cosine_ndcg@10	dim_64_cosine_ndcg@10
0.0098	1	17.6764	-	-	-	-	-
0.0196	2	18.7552	-	-	-	-	-
0.0294	3	15.7571	-	-	-	-	-
0.0392	4	17.6838	-	-	-	-	-
0.0490	5	20.5906	-	-	-	-	-
0.0588	6	18.2602	-	-	-	-	-
0.0686	7	17.7364	-	-	-	-	-
0.0784	8	16.425	-	-	-	-	-
0.0882	9	16.9451	-	-	-	-	-
0.0980	10	15.8001	-	-	-	-	-
0.1078	11	17.367	-	-	-	-	-
0.1176	12	17.7703	-	-	-	-	-
0.1275	13	16.1184	-	-	-	-	-
0.1373	14	16.6469	-	-	-	-	-
0.1471	15	14.8151	-	-	-	-	-
0.1569	16	15.8066	-	-	-	-	-
0.1667	17	15.0318	-	-	-	-	-
0.1765	18	15.0699	-	-	-	-	-
0.1863	19	14.2376	-	-	-	-	-
0.1961	20	16.4842	-	-	-	-	-
0.2059	21	15.7979	-	-	-	-	-
0.2157	22	16.7384	-	-	-	-	-
0.2255	23	11.6569	-	-	-	-	-
0.2353	24	11.5312	-	-	-	-	-
0.2451	25	12.5616	-	-	-	-	-
0.2549	26	13.7859	-	-	-	-	-
0.2647	27	11.9381	-	-	-	-	-
0.2745	28	15.5073	-	-	-	-	-
0.2843	29	14.6694	-	-	-	-	-
0.2941	30	13.316	-	-	-	-	-
0.3039	31	11.7586	-	-	-	-	-
0.3137	32	11.8353	-	-	-	-	-
0.3235	33	11.5443	-	-	-	-	-
0.3333	34	11.8217	-	-	-	-	-
0.3431	35	12.707	-	-	-	-	-
0.3529	36	12.8745	-	-	-	-	-
0.3627	37	10.2505	-	-	-	-	-
0.3725	38	8.6446	-	-	-	-	-
0.3824	39	12.6514	-	-	-	-	-
0.3922	40	13.528	-	-	-	-	-
0.4020	41	11.375	-	-	-	-	-
0.4118	42	11.8437	-	-	-	-	-
0.4216	43	7.1407	-	-	-	-	-
0.4314	44	13.3296	-	-	-	-	-
0.4412	45	8.8968	-	-	-	-	-
0.4510	46	11.6272	-	-	-	-	-
0.4608	47	9.4872	-	-	-	-	-
0.4706	48	8.2567	-	-	-	-	-
0.4804	49	15.4531	-	-	-	-	-
0.4902	50	7.1768	-	-	-	-	-
0.5	51	11.2968	-	-	-	-	-
0.5098	52	14.0241	-	-	-	-	-
0.5196	53	10.9928	-	-	-	-	-
0.5294	54	11.04	-	-	-	-	-
0.5392	55	7.5271	-	-	-	-	-
0.5490	56	13.6009	-	-	-	-	-
0.5588	57	7.2069	-	-	-	-	-
0.5686	58	5.8509	-	-	-	-	-
0.5784	59	5.2413	-	-	-	-	-
0.5882	60	10.0671	-	-	-	-	-
0.5980	61	10.5692	-	-	-	-	-
0.6078	62	7.2468	-	-	-	-	-
0.6176	63	8.0536	-	-	-	-	-
0.6275	64	10.7837	-	-	-	-	-
0.6373	65	9.1267	-	-	-	-	-
0.6471	66	7.8949	-	-	-	-	-
0.6569	67	6.821	-	-	-	-	-
0.6667	68	7.5105	-	-	-	-	-
0.6765	69	4.2704	-	-	-	-	-
0.6863	70	7.6476	-	-	-	-	-
0.6961	71	6.4674	-	-	-	-	-
0.7059	72	7.9905	-	-	-	-	-
0.7157	73	13.5129	-	-	-	-	-
0.7255	74	6.5935	-	-	-	-	-
0.7353	75	9.9373	-	-	-	-	-
0.7451	76	10.1976	-	-	-	-	-
0.7549	77	11.7469	-	-	-	-	-
0.7647	78	8.1078	-	-	-	-	-
0.7745	79	8.3073	-	-	-	-	-
0.7843	80	8.7917	-	-	-	-	-
0.7941	81	6.416	-	-	-	-	-
0.8039	82	9.1483	-	-	-	-	-
0.8137	83	8.3476	-	-	-	-	-
0.8235	84	7.4461	-	-	-	-	-
0.8333	85	6.6645	-	-	-	-	-
0.8431	86	9.525	-	-	-	-	-
0.8529	87	5.0447	-	-	-	-	-
0.8627	88	5.9187	-	-	-	-	-
0.8725	89	9.0868	-	-	-	-	-
0.8824	90	6.8393	-	-	-	-	-
0.8922	91	4.8473	-	-	-	-	-
0.9020	92	8.5653	-	-	-	-	-
0.9118	93	5.1863	-	-	-	-	-
0.9216	94	8.5543	-	-	-	-	-
0.9314	95	8.7473	-	-	-	-	-
0.9412	96	9.6507	-	-	-	-	-
0.9510	97	7.1744	-	-	-	-	-
0.9608	98	8.8476	-	-	-	-	-
0.9706	99	9.6835	-	-	-	-	-
0.9804	100	12.0148	-	-	-	-	-
0.9902	101	6.6784	-	-	-	-	-
1.0	102	3.0537	0.3119	0.2864	0.3096	0.2929	0.2458
1.0098	103	6.7409	-	-	-	-	-
1.0196	104	6.2104	-	-	-	-	-
1.0294	105	10.2444	-	-	-	-	-
1.0392	106	6.5551	-	-	-	-	-
1.0490	107	8.8202	-	-	-	-	-
1.0588	108	6.1798	-	-	-	-	-
1.0686	109	5.4281	-	-	-	-	-
1.0784	110	6.7202	-	-	-	-	-
1.0882	111	2.7993	-	-	-	-	-
1.0980	112	3.8981	-	-	-	-	-
1.1078	113	6.7209	-	-	-	-	-
1.1176	114	6.9824	-	-	-	-	-
1.1275	115	3.9592	-	-	-	-	-
1.1373	116	8.6279	-	-	-	-	-
1.1471	117	3.7862	-	-	-	-	-
1.1569	118	8.6419	-	-	-	-	-
1.1667	119	6.2141	-	-	-	-	-
1.1765	120	10.6976	-	-	-	-	-
1.1863	121	6.0075	-	-	-	-	-
1.1961	122	5.1543	-	-	-	-	-
1.2059	123	8.3706	-	-	-	-	-
1.2157	124	11.0081	-	-	-	-	-
1.2255	125	4.2895	-	-	-	-	-
1.2353	126	6.4055	-	-	-	-	-
1.2451	127	6.6852	-	-	-	-	-
1.2549	128	5.0547	-	-	-	-	-
1.2647	129	2.9134	-	-	-	-	-
1.2745	130	7.0408	-	-	-	-	-
1.2843	131	7.5438	-	-	-	-	-
1.2941	132	6.6101	-	-	-	-	-
1.3039	133	6.931	-	-	-	-	-
1.3137	134	5.9556	-	-	-	-	-
1.3235	135	7.1276	-	-	-	-	-
1.3333	136	7.7639	-	-	-	-	-
1.3431	137	3.3024	-	-	-	-	-
1.3529	138	4.1589	-	-	-	-	-
1.3627	139	2.5888	-	-	-	-	-
1.3725	140	3.9834	-	-	-	-	-
1.3824	141	4.7761	-	-	-	-	-
1.3922	142	6.3624	-	-	-	-	-
1.4020	143	5.543	-	-	-	-	-
1.4118	144	5.895	-	-	-	-	-
1.4216	145	2.7816	-	-	-	-	-
1.4314	146	9.3215	-	-	-	-	-
1.4412	147	6.9712	-	-	-	-	-
1.4510	148	2.3775	-	-	-	-	-
1.4608	149	7.2748	-	-	-	-	-
1.4706	150	5.1214	-	-	-	-	-
1.4804	151	4.4235	-	-	-	-	-
1.4902	152	5.8864	-	-	-	-	-
1.5	153	6.1944	-	-	-	-	-
1.5098	154	7.0965	-	-	-	-	-
1.5196	155	3.3964	-	-	-	-	-
1.5294	156	6.5385	-	-	-	-	-
1.5392	157	4.9398	-	-	-	-	-
1.5490	158	4.8754	-	-	-	-	-
1.5588	159	5.0117	-	-	-	-	-
1.5686	160	3.8073	-	-	-	-	-
1.5784	161	4.4464	-	-	-	-	-
1.5882	162	3.1841	-	-	-	-	-
1.5980	163	2.2593	-	-	-	-	-
1.6078	164	4.5786	-	-	-	-	-
1.6176	165	6.9131	-	-	-	-	-
1.6275	166	1.8312	-	-	-	-	-
1.6373	167	8.2049	-	-	-	-	-
1.6471	168	5.6902	-	-	-	-	-
1.6569	169	4.9242	-	-	-	-	-
1.6667	170	7.838	-	-	-	-	-
1.6765	171	2.5993	-	-	-	-	-
1.6863	172	8.223	-	-	-	-	-
1.6961	173	4.8582	-	-	-	-	-
1.7059	174	5.2368	-	-	-	-	-
1.7157	175	6.6681	-	-	-	-	-
1.7255	176	7.1537	-	-	-	-	-
1.7353	177	6.8843	-	-	-	-	-
1.7451	178	6.5373	-	-	-	-	-
1.7549	179	4.1607	-	-	-	-	-
1.7647	180	7.9075	-	-	-	-	-
1.7745	181	6.6555	-	-	-	-	-
1.7843	182	8.1749	-	-	-	-	-
1.7941	183	3.2798	-	-	-	-	-
1.8039	184	4.4922	-	-	-	-	-
1.8137	185	4.3681	-	-	-	-	-
1.8235	186	7.1756	-	-	-	-	-
1.8333	187	9.8068	-	-	-	-	-
1.8431	188	6.6329	-	-	-	-	-
1.8529	189	3.952	-	-	-	-	-
1.8627	190	3.937	-	-	-	-	-
1.8725	191	3.3723	-	-	-	-	-
1.8824	192	8.3868	-	-	-	-	-
1.8922	193	3.8313	-	-	-	-	-
1.9020	194	9.1588	-	-	-	-	-
1.9118	195	6.5268	-	-	-	-	-
1.9216	196	5.1561	-	-	-	-	-
1.9314	197	3.9581	-	-	-	-	-
1.9412	198	4.4332	-	-	-	-	-
1.9510	199	1.8641	-	-	-	-	-
1.9608	200	7.158	-	-	-	-	-
1.9706	201	4.0545	-	-	-	-	-
1.9804	202	8.031	-	-	-	-	-
1.9902	203	5.3564	-	-	-	-	-
2.0	204	1.4331	0.3956	0.3780	0.3699	0.3465	0.3029
2.0098	205	1.6628	-	-	-	-	-
2.0196	206	1.3312	-	-	-	-	-
2.0294	207	5.3487	-	-	-	-	-
2.0392	208	3.3566	-	-	-	-	-
2.0490	209	4.3938	-	-	-	-	-
2.0588	210	0.783	-	-	-	-	-
2.0686	211	3.7484	-	-	-	-	-
2.0784	212	1.1786	-	-	-	-	-
2.0882	213	4.6037	-	-	-	-	-
2.0980	214	5.0894	-	-	-	-	-
2.1078	215	2.5686	-	-	-	-	-
2.1176	216	4.8807	-	-	-	-	-
2.1275	217	1.5026	-	-	-	-	-
2.1373	218	2.8906	-	-	-	-	-
2.1471	219	3.9495	-	-	-	-	-
2.1569	220	4.0842	-	-	-	-	-
2.1667	221	2.4274	-	-	-	-	-
2.1765	222	3.4466	-	-	-	-	-
2.1863	223	4.6523	-	-	-	-	-
2.1961	224	4.1501	-	-	-	-	-
2.2059	225	3.8173	-	-	-	-	-
2.2157	226	2.0431	-	-	-	-	-
2.2255	227	7.0154	-	-	-	-	-
2.2353	228	4.8075	-	-	-	-	-
2.2451	229	2.2587	-	-	-	-	-
2.2549	230	4.4399	-	-	-	-	-
2.2647	231	3.2537	-	-	-	-	-
2.2745	232	2.4063	-	-	-	-	-
2.2843	233	2.911	-	-	-	-	-
2.2941	234	3.1982	-	-	-	-	-
2.3039	235	1.7178	-	-	-	-	-
2.3137	236	3.4933	-	-	-	-	-
2.3235	237	1.803	-	-	-	-	-
2.3333	238	2.6993	-	-	-	-	-
2.3431	239	2.2605	-	-	-	-	-
2.3529	240	4.8734	-	-	-	-	-
2.3627	241	2.4407	-	-	-	-	-
2.3725	242	1.8339	-	-	-	-	-
2.3824	243	2.1039	-	-	-	-	-
2.3922	244	3.4484	-	-	-	-	-
2.4020	245	4.2985	-	-	-	-	-
2.4118	246	2.5501	-	-	-	-	-
2.4216	247	2.9653	-	-	-	-	-
2.4314	248	4.9762	-	-	-	-	-
2.4412	249	2.3857	-	-	-	-	-
2.4510	250	4.2003	-	-	-	-	-
2.4608	251	2.0233	-	-	-	-	-
2.4706	252	2.4927	-	-	-	-	-
2.4804	253	4.2619	-	-	-	-	-
2.4902	254	5.112	-	-	-	-	-
2.5	255	3.2612	-	-	-	-	-
2.5098	256	3.6784	-	-	-	-	-
2.5196	257	3.5273	-	-	-	-	-
2.5294	258	0.5713	-	-	-	-	-
2.5392	259	3.2269	-	-	-	-	-
2.5490	260	2.091	-	-	-	-	-
2.5588	261	1.6746	-	-	-	-	-
2.5686	262	2.9194	-	-	-	-	-
2.5784	263	3.8363	-	-	-	-	-
2.5882	264	5.7385	-	-	-	-	-
2.5980	265	3.2055	-	-	-	-	-
2.6078	266	1.9638	-	-	-	-	-
2.6176	267	3.4731	-	-	-	-	-
2.6275	268	3.9062	-	-	-	-	-
2.6373	269	4.2224	-	-	-	-	-
2.6471	270	3.5329	-	-	-	-	-
2.6569	271	2.8717	-	-	-	-	-
2.6667	272	2.336	-	-	-	-	-
2.6765	273	1.9833	-	-	-	-	-
2.6863	274	3.8414	-	-	-	-	-
2.6961	275	3.2319	-	-	-	-	-
2.7059	276	3.9453	-	-	-	-	-
2.7157	277	6.3842	-	-	-	-	-
2.7255	278	1.9916	-	-	-	-	-
2.7353	279	3.2109	-	-	-	-	-
2.7451	280	2.1067	-	-	-	-	-
2.7549	281	6.1748	-	-	-	-	-
2.7647	282	4.4581	-	-	-	-	-
2.7745	283	3.4914	-	-	-	-	-
2.7843	284	4.9185	-	-	-	-	-
2.7941	285	4.5442	-	-	-	-	-
2.8039	286	4.0544	-	-	-	-	-
2.8137	287	7.6637	-	-	-	-	-
2.8235	288	2.0092	-	-	-	-	-
2.8333	289	6.7138	-	-	-	-	-
2.8431	290	5.6844	-	-	-	-	-
2.8529	291	4.7221	-	-	-	-	-
2.8627	292	1.9449	-	-	-	-	-
2.8725	293	1.4523	-	-	-	-	-
2.8824	294	3.241	-	-	-	-	-
2.8922	295	3.671	-	-	-	-	-
2.9020	296	1.7239	-	-	-	-	-
2.9118	297	2.4093	-	-	-	-	-
2.9216	298	4.0036	-	-	-	-	-
2.9314	299	4.7599	-	-	-	-	-
2.9412	300	3.0368	-	-	-	-	-
2.9510	301	1.8509	-	-	-	-	-
2.9608	302	3.1859	-	-	-	-	-
2.9706	303	2.1558	-	-	-	-	-
2.9804	304	3.7769	-	-	-	-	-
2.9902	305	4.4031	-	-	-	-	-
3.0	306	4.7627	0.4030	0.4015	0.3919	0.3564	0.3368
3.0098	307	1.2367	-	-	-	-	-
3.0196	308	6.3136	-	-	-	-	-
3.0294	309	2.0142	-	-	-	-	-
3.0392	310	3.1985	-	-	-	-	-
3.0490	311	0.989	-	-	-	-	-
3.0588	312	1.7043	-	-	-	-	-
3.0686	313	1.7724	-	-	-	-	-
3.0784	314	1.5409	-	-	-	-	-
3.0882	315	1.8318	-	-	-	-	-
3.0980	316	0.7304	-	-	-	-	-
3.1078	317	0.9991	-	-	-	-	-
3.1176	318	2.8774	-	-	-	-	-
3.1275	319	2.748	-	-	-	-	-
3.1373	320	1.4408	-	-	-	-	-
3.1471	321	1.7546	-	-	-	-	-
3.1569	322	1.4541	-	-	-	-	-
3.1667	323	4.234	-	-	-	-	-
3.1765	324	1.8155	-	-	-	-	-
3.1863	325	1.9923	-	-	-	-	-
3.1961	326	3.1031	-	-	-	-	-
3.2059	327	2.1279	-	-	-	-	-
3.2157	328	2.3636	-	-	-	-	-
3.2255	329	2.6683	-	-	-	-	-
3.2353	330	2.1672	-	-	-	-	-
3.2451	331	3.3377	-	-	-	-	-
3.2549	332	5.2582	-	-	-	-	-
3.2647	333	1.3004	-	-	-	-	-
3.2745	334	0.7484	-	-	-	-	-
3.2843	335	2.3675	-	-	-	-	-
3.2941	336	3.2489	-	-	-	-	-
3.3039	337	2.1382	-	-	-	-	-
3.3137	338	0.5937	-	-	-	-	-
3.3235	339	3.1669	-	-	-	-	-
3.3333	340	4.9559	-	-	-	-	-
3.3431	341	3.5331	-	-	-	-	-
3.3529	342	4.2609	-	-	-	-	-
3.3627	343	3.9297	-	-	-	-	-
3.3725	344	1.6645	-	-	-	-	-
3.3824	345	3.5625	-	-	-	-	-
3.3922	346	1.6451	-	-	-	-	-
3.4020	347	1.0945	-	-	-	-	-
3.4118	348	1.2777	-	-	-	-	-
3.4216	349	2.5434	-	-	-	-	-
3.4314	350	2.1898	-	-	-	-	-
3.4412	351	3.4225	-	-	-	-	-
3.4510	352	1.3285	-	-	-	-	-
3.4608	353	2.1739	-	-	-	-	-
3.4706	354	2.9034	-	-	-	-	-
3.4804	355	0.9334	-	-	-	-	-
3.4902	356	0.9282	-	-	-	-	-
3.5	357	4.2909	-	-	-	-	-
3.5098	358	2.3011	-	-	-	-	-
3.5196	359	0.6001	-	-	-	-	-
3.5294	360	3.7029	-	-	-	-	-
3.5392	361	0.8935	-	-	-	-	-
3.5490	362	1.8518	-	-	-	-	-
3.5588	363	2.033	-	-	-	-	-
3.5686	364	0.9592	-	-	-	-	-
3.5784	365	3.4093	-	-	-	-	-
3.5882	366	2.2692	-	-	-	-	-
3.5980	367	3.9	-	-	-	-	-
3.6078	368	2.3899	-	-	-	-	-
3.6176	369	0.6227	-	-	-	-	-
3.6275	370	2.8566	-	-	-	-	-
3.6373	371	3.0672	-	-	-	-	-
3.6471	372	3.8022	-	-	-	-	-
3.6569	373	3.4151	-	-	-	-	-
3.6667	374	0.8735	-	-	-	-	-
3.6765	375	0.8667	-	-	-	-	-
3.6863	376	0.4935	-	-	-	-	-
3.6961	377	3.9096	-	-	-	-	-
3.7059	378	1.5327	-	-	-	-	-
3.7157	379	5.2341	-	-	-	-	-
3.7255	380	0.3925	-	-	-	-	-
3.7353	381	2.4613	-	-	-	-	-
3.7451	382	0.6242	-	-	-	-	-
3.7549	383	2.0609	-	-	-	-	-
3.7647	384	2.8853	-	-	-	-	-
3.7745	385	2.2404	-	-	-	-	-
3.7843	386	1.5206	-	-	-	-	-
3.7941	387	3.1303	-	-	-	-	-
3.8039	388	4.8535	-	-	-	-	-
3.8137	389	1.6398	-	-	-	-	-
3.8235	390	0.5408	-	-	-	-	-
3.8333	391	2.8171	-	-	-	-	-
3.8431	392	1.4056	-	-	-	-	-
3.8529	393	5.0842	-	-	-	-	-
3.8627	394	2.287	-	-	-	-	-
3.8725	395	3.4401	-	-	-	-	-
3.8824	396	5.2915	-	-	-	-	-
3.8922	397	0.2864	-	-	-	-	-
3.9020	398	0.5698	-	-	-	-	-
3.9118	399	2.8378	-	-	-	-	-
3.9216	400	6.7461	-	-	-	-	-
3.9314	401	0.9204	-	-	-	-	-
3.9412	402	3.0113	-	-	-	-	-
3.9510	403	0.4371	-	-	-	-	-
3.9608	404	2.6168	-	-	-	-	-
3.9706	405	3.1233	-	-	-	-	-
3.9804	406	4.416	-	-	-	-	-
3.9902	407	0.7619	-	-	-	-	-
4.0	408	1.9747	0.4185	0.4055	0.4084	0.3859	0.3542
4.0098	409	0.7847	-	-	-	-	-
4.0196	410	1.5228	-	-	-	-	-
4.0294	411	0.8806	-	-	-	-	-
4.0392	412	2.1526	-	-	-	-	-
4.0490	413	1.232	-	-	-	-	-
4.0588	414	1.8548	-	-	-	-	-
4.0686	415	2.1298	-	-	-	-	-
4.0784	416	1.6375	-	-	-	-	-
4.0882	417	2.3323	-	-	-	-	-
4.0980	418	0.5819	-	-	-	-	-
4.1078	419	1.768	-	-	-	-	-
4.1176	420	2.1872	-	-	-	-	-
4.1275	421	3.5688	-	-	-	-	-
4.1373	422	0.8193	-	-	-	-	-
4.1471	423	2.2225	-	-	-	-	-
4.1569	424	1.0193	-	-	-	-	-
4.1667	425	1.0231	-	-	-	-	-
4.1765	426	1.7803	-	-	-	-	-
4.1863	427	2.6119	-	-	-	-	-
4.1961	428	4.1441	-	-	-	-	-
4.2059	429	2.1851	-	-	-	-	-
4.2157	430	0.6313	-	-	-	-	-
4.2255	431	0.7273	-	-	-	-	-
4.2353	432	0.5221	-	-	-	-	-
4.2451	433	0.7089	-	-	-	-	-
4.2549	434	2.2255	-	-	-	-	-
4.2647	435	0.8201	-	-	-	-	-
4.2745	436	0.268	-	-	-	-	-
4.2843	437	3.059	-	-	-	-	-
4.2941	438	1.1647	-	-	-	-	-
4.3039	439	0.6611	-	-	-	-	-
4.3137	440	0.4375	-	-	-	-	-
4.3235	441	0.5028	-	-	-	-	-
4.3333	442	1.5867	-	-	-	-	-
4.3431	443	0.9583	-	-	-	-	-
4.3529	444	1.4335	-	-	-	-	-
4.3627	445	2.0598	-	-	-	-	-
4.3725	446	2.0874	-	-	-	-	-
4.3824	447	0.6914	-	-	-	-	-
4.3922	448	1.7489	-	-	-	-	-
4.4020	449	0.8039	-	-	-	-	-
4.4118	450	2.8524	-	-	-	-	-
4.4216	451	1.0482	-	-	-	-	-
4.4314	452	2.0307	-	-	-	-	-
4.4412	453	0.4269	-	-	-	-	-
4.4510	454	3.0094	-	-	-	-	-
4.4608	455	1.9198	-	-	-	-	-
4.4706	456	1.7352	-	-	-	-	-
4.4804	457	2.8351	-	-	-	-	-
4.4902	458	4.92	-	-	-	-	-
4.5	459	1.3255	-	-	-	-	-
4.5098	460	3.2656	-	-	-	-	-
4.5196	461	1.7202	-	-	-	-	-
4.5294	462	2.8644	-	-	-	-	-
4.5392	463	2.556	-	-	-	-	-
4.5490	464	0.9408	-	-	-	-	-
4.5588	465	0.5922	-	-	-	-	-
4.5686	466	0.7249	-	-	-	-	-
4.5784	467	3.2635	-	-	-	-	-
4.5882	468	0.4393	-	-	-	-	-
4.5980	469	3.6834	-	-	-	-	-
4.6078	470	0.7779	-	-	-	-	-
4.6176	471	1.2985	-	-	-	-	-
4.6275	472	0.2688	-	-	-	-	-
4.6373	473	0.9378	-	-	-	-	-
4.6471	474	0.4366	-	-	-	-	-
4.6569	475	1.3417	-	-	-	-	-
4.6667	476	0.8489	-	-	-	-	-
4.6765	477	2.7182	-	-	-	-	-
4.6863	478	0.7028	-	-	-	-	-
4.6961	479	0.524	-	-	-	-	-
4.7059	480	0.6689	-	-	-	-	-
4.7157	481	4.9997	-	-	-	-	-
4.7255	482	0.3552	-	-	-	-	-
4.7353	483	2.2703	-	-	-	-	-
4.7451	484	2.1915	-	-	-	-	-
4.7549	485	4.2093	-	-	-	-	-
4.7647	486	0.763	-	-	-	-	-
4.7745	487	4.3978	-	-	-	-	-
4.7843	488	2.024	-	-	-	-	-
4.7941	489	1.205	-	-	-	-	-
4.8039	490	3.9364	-	-	-	-	-
4.8137	491	5.6897	-	-	-	-	-
4.8235	492	1.7027	-	-	-	-	-
4.8333	493	2.1034	-	-	-	-	-
4.8431	494	1.6309	-	-	-	-	-
4.8529	495	1.8332	-	-	-	-	-
4.8627	496	0.4665	-	-	-	-	-
4.8725	497	2.7381	-	-	-	-	-
4.8824	498	2.0727	-	-	-	-	-
4.8922	499	2.6666	-	-	-	-	-
4.9020	500	1.5566	-	-	-	-	-
4.9118	501	1.6358	-	-	-	-	-
4.9216	502	3.6472	-	-	-	-	-
4.9314	503	2.5013	-	-	-	-	-
4.9412	504	4.8411	-	-	-	-	-
4.9510	505	1.2123	-	-	-	-	-
4.9608	506	2.8246	-	-	-	-	-
4.9706	507	0.1666	-	-	-	-	-
4.9804	508	0.7794	-	-	-	-	-
4.9902	509	3.8537	-	-	-	-	-
5.0	510	1.727	0.4277	0.4018	0.4103	0.3828	0.3618
5.0098	511	0.6129	-	-	-	-	-
5.0196	512	0.6924	-	-	-	-	-
5.0294	513	0.2694	-	-	-	-	-
5.0392	514	1.965	-	-	-	-	-
5.0490	515	3.1648	-	-	-	-	-
5.0588	516	2.9953	-	-	-	-	-
5.0686	517	0.636	-	-	-	-	-
5.0784	518	0.422	-	-	-	-	-
5.0882	519	0.4336	-	-	-	-	-
5.0980	520	2.7025	-	-	-	-	-
5.1078	521	3.897	-	-	-	-	-
5.1176	522	0.287	-	-	-	-	-
5.1275	523	2.4604	-	-	-	-	-
5.1373	524	0.7686	-	-	-	-	-
5.1471	525	0.5623	-	-	-	-	-
5.1569	526	1.3374	-	-	-	-	-
5.1667	527	0.384	-	-	-	-	-
5.1765	528	0.3413	-	-	-	-	-
5.1863	529	0.44	-	-	-	-	-
5.1961	530	0.9555	-	-	-	-	-
5.2059	531	1.8427	-	-	-	-	-
5.2157	532	1.0247	-	-	-	-	-
5.2255	533	0.092	-	-	-	-	-
5.2353	534	1.2982	-	-	-	-	-
5.2451	535	3.2859	-	-	-	-	-
5.2549	536	1.946	-	-	-	-	-
5.2647	537	2.0706	-	-	-	-	-
5.2745	538	0.9946	-	-	-	-	-
5.2843	539	1.222	-	-	-	-	-
5.2941	540	1.4977	-	-	-	-	-
5.3039	541	0.7965	-	-	-	-	-
5.3137	542	0.5958	-	-	-	-	-
5.3235	543	0.325	-	-	-	-	-
5.3333	544	0.9241	-	-	-	-	-
5.3431	545	0.4865	-	-	-	-	-
5.3529	546	0.3382	-	-	-	-	-
5.3627	547	1.0496	-	-	-	-	-
5.3725	548	0.5953	-	-	-	-	-
5.3824	549	0.8654	-	-	-	-	-
5.3922	550	0.6414	-	-	-	-	-
5.4020	551	1.6447	-	-	-	-	-
5.4118	552	1.8681	-	-	-	-	-
5.4216	553	0.3286	-	-	-	-	-
5.4314	554	1.086	-	-	-	-	-
5.4412	555	0.2627	-	-	-	-	-
5.4510	556	1.1866	-	-	-	-	-
5.4608	557	0.2962	-	-	-	-	-
5.4706	558	1.5424	-	-	-	-	-
5.4804	559	2.6296	-	-	-	-	-
5.4902	560	3.3635	-	-	-	-	-
5.5	561	0.4501	-	-	-	-	-
5.5098	562	3.9317	-	-	-	-	-
5.5196	563	0.9076	-	-	-	-	-
5.5294	564	2.4479	-	-	-	-	-
5.5392	565	1.2163	-	-	-	-	-
5.5490	566	1.824	-	-	-	-	-
5.5588	567	2.8104	-	-	-	-	-
5.5686	568	1.8581	-	-	-	-	-
5.5784	569	3.924	-	-	-	-	-
5.5882	570	3.1934	-	-	-	-	-
5.5980	571	0.8057	-	-	-	-	-
5.6078	572	3.226	-	-	-	-	-
5.6176	573	0.7339	-	-	-	-	-
5.6275	574	3.1157	-	-	-	-	-
5.6373	575	0.8015	-	-	-	-	-
5.6471	576	2.6488	-	-	-	-	-
5.6569	577	0.5687	-	-	-	-	-
5.6667	578	1.6829	-	-	-	-	-
5.6765	579	1.1392	-	-	-	-	-
5.6863	580	0.6002	-	-	-	-	-
5.6961	581	0.0636	-	-	-	-	-
5.7059	582	0.7494	-	-	-	-	-
5.7157	583	1.5672	-	-	-	-	-
5.7255	584	2.092	-	-	-	-	-
5.7353	585	1.5072	-	-	-	-	-
5.7451	586	0.6565	-	-	-	-	-
5.7549	587	1.4648	-	-	-	-	-
5.7647	588	1.7745	-	-	-	-	-
5.7745	589	6.2119	-	-	-	-	-
5.7843	590	1.6038	-	-	-	-	-
5.7941	591	0.959	-	-	-	-	-
5.8039	592	1.054	-	-	-	-	-
5.8137	593	1.0214	-	-	-	-	-
5.8235	594	0.5893	-	-	-	-	-
5.8333	595	0.3633	-	-	-	-	-
5.8431	596	2.4053	-	-	-	-	-
5.8529	597	1.334	-	-	-	-	-
5.8627	598	1.5622	-	-	-	-	-
5.8725	599	1.8129	-	-	-	-	-
5.8824	600	0.9767	-	-	-	-	-
5.8922	601	2.4676	-	-	-	-	-
5.9020	602	0.8929	-	-	-	-	-
5.9118	603	0.208	-	-	-	-	-
5.9216	604	0.9578	-	-	-	-	-
5.9314	605	2.1708	-	-	-	-	-
5.9412	606	0.106	-	-	-	-	-
5.9510	607	2.761	-	-	-	-	-
5.9608	608	1.0443	-	-	-	-	-
5.9706	609	0.5163	-	-	-	-	-
5.9804	610	1.469	-	-	-	-	-
5.9902	611	3.3557	-	-	-	-	-
6.0	612	0.8804	0.4337	0.4124	0.4062	0.3723	0.3504
6.0098	613	3.0174	-	-	-	-	-
6.0196	614	1.4742	-	-	-	-	-
6.0294	615	2.1343	-	-	-	-	-
6.0392	616	0.9879	-	-	-	-	-
6.0490	617	0.4341	-	-	-	-	-
6.0588	618	1.9498	-	-	-	-	-
6.0686	619	0.8164	-	-	-	-	-
6.0784	620	0.9137	-	-	-	-	-
6.0882	621	0.1987	-	-	-	-	-
6.0980	622	1.5663	-	-	-	-	-
6.1078	623	0.3626	-	-	-	-	-
6.1176	624	1.5479	-	-	-	-	-
6.1275	625	0.2408	-	-	-	-	-
6.1373	626	0.6135	-	-	-	-	-
6.1471	627	0.7962	-	-	-	-	-
6.1569	628	0.8391	-	-	-	-	-
6.1667	629	1.7284	-	-	-	-	-
6.1765	630	1.0251	-	-	-	-	-
6.1863	631	0.2121	-	-	-	-	-
6.1961	632	1.2146	-	-	-	-	-
6.2059	633	1.7254	-	-	-	-	-
6.2157	634	1.2436	-	-	-	-	-
6.2255	635	3.5633	-	-	-	-	-
6.2353	636	0.2066	-	-	-	-	-
6.2451	637	0.4385	-	-	-	-	-
6.2549	638	1.1002	-	-	-	-	-
6.2647	639	0.373	-	-	-	-	-
6.2745	640	0.5873	-	-	-	-	-
6.2843	641	0.5348	-	-	-	-	-
6.2941	642	0.3945	-	-	-	-	-
6.3039	643	1.7074	-	-	-	-	-
6.3137	644	0.2465	-	-	-	-	-
6.3235	645	0.4574	-	-	-	-	-
6.3333	646	0.5762	-	-	-	-	-
6.3431	647	2.0706	-	-	-	-	-
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9.7549	995	7.3267	-	-	-	-	-
9.7647	996	0.1075	-	-	-	-	-
9.7745	997	0.3112	-	-	-	-	-
9.7843	998	0.1638	-	-	-	-	-
9.7941	999	0.1832	-	-	-	-	-
9.8039	1000	4.5754	-	-	-	-	-
9.8137	1001	0.891	-	-	-	-	-
9.8235	1002	0.705	-	-	-	-	-
9.8333	1003	0.5125	-	-	-	-	-
9.8431	1004	0.4005	-	-	-	-	-
9.8529	1005	0.1178	-	-	-	-	-
9.8627	1006	0.5048	-	-	-	-	-
9.8725	1007	1.1522	-	-	-	-	-
9.8824	1008	0.1913	-	-	-	-	-
9.8922	1009	0.4748	-	-	-	-	-
9.9020	1010	0.9198	-	-	-	-	-
9.9118	1011	1.097	-	-	-	-	-
9.9216	1012	0.4018	-	-	-	-	-
9.9314	1013	0.8162	-	-	-	-	-
9.9412	1014	0.0675	-	-	-	-	-
9.9510	1015	0.8219	-	-	-	-	-
9.9608	1016	0.3287	-	-	-	-	-
9.9706	1017	0.5968	-	-	-	-	-
9.9804	1018	1.4587	-	-	-	-	-
9.9902	1019	0.3121	-	-	-	-	-
10.0	1020	0.5234	0.4406	0.4219	0.4225	0.3977	0.3669

The bold row denotes the saved checkpoint.

Framework Versions

Python: 3.12.12
Sentence Transformers: 5.1.2
Transformers: 4.51.3
PyTorch: 2.8.0+cu126
Accelerate: 1.11.0
Datasets: 4.0.0
Tokenizers: 0.21.4

Citation

BibTeX

Sentence Transformers

@inproceedings{reimers-2019-sentence-bert,
    title = "Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks",
    author = "Reimers, Nils and Gurevych, Iryna",
    booktitle = "Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing",
    month = "11",
    year = "2019",
    publisher = "Association for Computational Linguistics",
    url = "https://arxiv.org/abs/1908.10084",
}

MatryoshkaLoss

@misc{kusupati2024matryoshka,
    title={Matryoshka Representation Learning},
    author={Aditya Kusupati and Gantavya Bhatt and Aniket Rege and Matthew Wallingford and Aditya Sinha and Vivek Ramanujan and William Howard-Snyder and Kaifeng Chen and Sham Kakade and Prateek Jain and Ali Farhadi},
    year={2024},
    eprint={2205.13147},
    archivePrefix={arXiv},
    primaryClass={cs.LG}
}

MultipleNegativesRankingLoss

@misc{henderson2017efficient,
    title={Efficient Natural Language Response Suggestion for Smart Reply},
    author={Matthew Henderson and Rami Al-Rfou and Brian Strope and Yun-hsuan Sung and Laszlo Lukacs and Ruiqi Guo and Sanjiv Kumar and Balint Miklos and Ray Kurzweil},
    year={2017},
    eprint={1705.00652},
    archivePrefix={arXiv},
    primaryClass={cs.CL}
}

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Model size

66.4M params

Tensor type

F32

Model tree for IoannisKat1/distilbert-base-uncased-ft-new

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distilbert/distilbert-base-uncased

Finetuned

(11672)

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Papers for IoannisKat1/distilbert-base-uncased-ft-new

Evaluation results

Cosine Accuracy@1 on dim 768
self-reported

0.381
Cosine Accuracy@3 on dim 768
self-reported

0.410
Cosine Accuracy@5 on dim 768
self-reported

0.452
Cosine Accuracy@10 on dim 768
self-reported

0.518
Cosine Precision@1 on dim 768
self-reported

0.381
Cosine Precision@3 on dim 768
self-reported

0.366
Cosine Precision@5 on dim 768
self-reported

0.344
Cosine Precision@10 on dim 768
self-reported

0.312