Instructions to use IoannisKat1/multilingual-e5-large-ft-new with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use IoannisKat1/multilingual-e5-large-ft-new with sentence-transformers:

from sentence_transformers import SentenceTransformer

model = SentenceTransformer("IoannisKat1/multilingual-e5-large-ft-new")

sentences = [
    "According to Regulation (EC) No 765/2008, what accreditation body should certification bodies be accredited by?",
    "Those derogations should in particular apply to data transfers required and necessary for important reasons of public interest, for example in cases of international data exchange between competition authorities, tax or customs administrations, between financial supervisory authorities, between services competent for social security matters, or for public health, for example in the case of contact tracing for contagious diseases or in order to reduce and/or eliminate doping in sport. A transfer of personal data should also be regarded as lawful where it is necessary to protect an interest which is essential for the data subject's or another person's vital interests, including physical integrity or life, if the data subject is incapable of giving consent. 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 data to a third country or an international organisation. Member States should notify such provisions to the Commission. Any transfer to an international humanitarian organisation of personal data of a data subject who is physically or legally incapable of giving consent, with a view to accomplishing a task incumbent under the Geneva Conventions or to complying with international humanitarian law applicable in armed conflicts, could be considered to be necessary for an important reason of public interest or because it is in the vital interest of the data subject.",
    "1.Without prejudice to the tasks and powers of the competent supervisory authority under Articles 57 and 58, certification bodies which have an appropriate level of expertise in relation to data protection shall, after informing the supervisory authority in order to allow it to exercise its powers pursuant to point (h) of Article 58(2) where necessary, issue and renew certification. Member States shall ensure that those certification bodies are accredited by one or both of the following: (a)  the supervisory authority which is competent pursuant to Article 55 or 56; (b)  the national accreditation body named in accordance with Regulation (EC) No 765/2008 of the European Parliament and of the Council (1) in accordance with EN-ISO/IEC 17065/2012 and with the additional requirements established by the supervisory authority which is competent pursuant to Article 55 or 56. \n2.Certification bodies referred to in paragraph 1 shall be accredited in accordance with that paragraph only where they have: (a)  demonstrated their independence and expertise in relation to the subject-matter of the certification to the satisfaction of the competent supervisory authority; 4.5.2016 L 119/59   (1) Regulation (EC) No 765/2008 of the European Parliament and of the Council of 9 July 2008 setting out the requirements for accreditation and market surveillance relating to the marketing of products and repealing Regulation (EEC) No 339/93 (OJ L 218, 13.8.2008, p. 30). (b)  undertaken to respect the criteria referred to in Article 42(5) and approved by the supervisory authority which is competent pursuant to Article 55 or 56 or by the Board pursuant to Article 63; (c)  established procedures for the issuing, periodic review and withdrawal of data protection certification, seals and marks; (d)  established procedures and structures to handle complaints about infringements of the certification or the manner in which the certification has been, or is being, implemented by the controller or processor, and to make those procedures and structures transparent to data subjects and the public; and (e)  demonstrated, to the satisfaction of the competent supervisory authority, that their tasks and duties do not result in a conflict of interests.\n3.The accreditation of certification bodies as referred to in paragraphs 1 and 2 of this Article shall take place on the basis of criteria approved by the supervisory authority which is competent pursuant to Article 55 or 56 or by the Board pursuant to Article 63. In the case of accreditation pursuant to point (b) of paragraph 1 of this Article, those requirements shall complement those envisaged in Regulation (EC) No 765/2008 and the technical rules that describe the methods and procedures of the certification bodies.\n4.The certification bodies referred to in paragraph 1 shall be responsible for the proper assessment leading to the certification or the withdrawal of such certification without prejudice to the responsibility of the controller or processor for compliance with this Regulation. The accreditation shall be issued for a maximum period of five years and may be renewed on the same conditions provided that the certification body meets the requirements set out in this Article.\n5.The certification bodies referred to in paragraph 1 shall provide the competent supervisory authorities with the reasons for granting or withdrawing the requested certification.\n6.The requirements referred to in paragraph 3 of this Article and the criteria referred to in Article 42(5) shall be made public by the supervisory authority in an easily accessible form. The supervisory authorities shall also transmit those requirements and criteria to the Board. The Board shall collate all certification mechanisms and data protection seals in a register and shall make them publicly available by any appropriate means.\n7.Without prejudice to Chapter VIII, the competent supervisory authority or the national accreditation body shall revoke an accreditation of a certification body pursuant to paragraph 1 of this Article where the conditions for the accreditation are not, or are no longer, met or where actions taken by a certification body infringe this Regulation.\n8.The Commission shall be empowered to adopt delegated acts in accordance with Article 92 for the purpose of specifying the requirements to be taken into account for the data protection certification mechanisms referred to in Article 42(1).\n9.The Commission may adopt implementing acts laying down technical standards for certification mechanisms and data protection seals and marks, and mechanisms to promote and recognise those certification mechanisms, seals and marks. Those implementing acts shall be adopted in accordance with the examination procedure referred to in Article 93(2). CHAPTER V Transfers of personal data to third countries or international organisations",
    "1.The supervisory authorities shall, where appropriate, conduct joint operations including joint investigations and joint enforcement measures in which members or staff of the supervisory authorities of other Member States are involved. 4.5.2016 L 119/72  \n2.Where the controller or processor has establishments in several Member States or where a significant number of data subjects in more than one Member State are likely to be substantially affected by processing operations, a supervisory authority of each of those Member States shall have the right to participate in joint operations. The supervisory authority which is competent pursuant to Article 56(1) or (4) shall invite the supervisory authority of each of those Member States to take part in the joint operations and shall respond without delay to the request of a supervisory authority to participate.\n3.A supervisory authority may, in accordance with Member State law, and with the seconding supervisory authority's authorisation, confer powers, including investigative powers on the seconding supervisory authority's members or staff involved in joint operations or, in so far as the law of the Member State of the host supervisory authority permits, allow the seconding supervisory authority's members or staff to exercise their investigative powers in accordance with the law of the Member State of the seconding supervisory authority. Such investigative powers may be exercised only under the guidance and in the presence of members or staff of the host supervisory authority. The seconding supervisory authority's members or staff shall be subject to the Member State law of the host supervisory authority.\n4.Where, in accordance with paragraph 1, staff of a seconding supervisory authority operate in another Member State, the Member State of the host supervisory authority shall assume responsibility for their actions, including liability, for any damage caused by them during their operations, in accordance with the law of the Member State in whose territory they are operating.\n5.The Member State in whose territory the damage was caused shall make good such damage under the conditions applicable to damage caused by its own staff. The Member State of the seconding supervisory authority whose staff has caused damage to any person in the territory of another Member State shall reimburse that other Member State in full any sums it has paid to the persons entitled on their behalf.\n6.Without prejudice to the exercise of its rights vis-à-vis third parties and with the exception of paragraph 5, each Member State shall refrain, in the case provided for in paragraph 1, from requesting reimbursement from another Member State in relation to damage referred to in paragraph 4\n7.Where a joint operation is intended and a supervisory authority does not, within one month, comply with the obligation laid down in the second sentence of paragraph 2 of this Article, the other supervisory authorities may adopt a provisional measure on the territory of its Member State in accordance with Article 55. In that case, the urgent need to act under Article 66(1) shall be presumed to be met and require an opinion or an urgent binding decision from the Board pursuant to Article 66(2). Section 2 Consistency"
]
embeddings = model.encode(sentences)

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

Notebooks
Google Colab
Kaggle

How to use from the

Use from the

sentence-transformers library

from sentence_transformers import SentenceTransformer

model = SentenceTransformer("IoannisKat1/multilingual-e5-large-ft-new")

sentences = [
    "According to Regulation (EC) No 765/2008, what accreditation body should certification bodies be accredited by?",
    "Those derogations should in particular apply to data transfers required and necessary for important reasons of public interest, for example in cases of international data exchange between competition authorities, tax or customs administrations, between financial supervisory authorities, between services competent for social security matters, or for public health, for example in the case of contact tracing for contagious diseases or in order to reduce and/or eliminate doping in sport. A transfer of personal data should also be regarded as lawful where it is necessary to protect an interest which is essential for the data subject's or another person's vital interests, including physical integrity or life, if the data subject is incapable of giving consent. 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 data to a third country or an international organisation. Member States should notify such provisions to the Commission. Any transfer to an international humanitarian organisation of personal data of a data subject who is physically or legally incapable of giving consent, with a view to accomplishing a task incumbent under the Geneva Conventions or to complying with international humanitarian law applicable in armed conflicts, could be considered to be necessary for an important reason of public interest or because it is in the vital interest of the data subject.",
    "1.Without prejudice to the tasks and powers of the competent supervisory authority under Articles 57 and 58, certification bodies which have an appropriate level of expertise in relation to data protection shall, after informing the supervisory authority in order to allow it to exercise its powers pursuant to point (h) of Article 58(2) where necessary, issue and renew certification. Member States shall ensure that those certification bodies are accredited by one or both of the following: (a)  the supervisory authority which is competent pursuant to Article 55 or 56; (b)  the national accreditation body named in accordance with Regulation (EC) No 765/2008 of the European Parliament and of the Council (1) in accordance with EN-ISO/IEC 17065/2012 and with the additional requirements established by the supervisory authority which is competent pursuant to Article 55 or 56. \n2.Certification bodies referred to in paragraph 1 shall be accredited in accordance with that paragraph only where they have: (a)  demonstrated their independence and expertise in relation to the subject-matter of the certification to the satisfaction of the competent supervisory authority; 4.5.2016 L 119/59   (1) Regulation (EC) No 765/2008 of the European Parliament and of the Council of 9 July 2008 setting out the requirements for accreditation and market surveillance relating to the marketing of products and repealing Regulation (EEC) No 339/93 (OJ L 218, 13.8.2008, p. 30). (b)  undertaken to respect the criteria referred to in Article 42(5) and approved by the supervisory authority which is competent pursuant to Article 55 or 56 or by the Board pursuant to Article 63; (c)  established procedures for the issuing, periodic review and withdrawal of data protection certification, seals and marks; (d)  established procedures and structures to handle complaints about infringements of the certification or the manner in which the certification has been, or is being, implemented by the controller or processor, and to make those procedures and structures transparent to data subjects and the public; and (e)  demonstrated, to the satisfaction of the competent supervisory authority, that their tasks and duties do not result in a conflict of interests.\n3.The accreditation of certification bodies as referred to in paragraphs 1 and 2 of this Article shall take place on the basis of criteria approved by the supervisory authority which is competent pursuant to Article 55 or 56 or by the Board pursuant to Article 63. In the case of accreditation pursuant to point (b) of paragraph 1 of this Article, those requirements shall complement those envisaged in Regulation (EC) No 765/2008 and the technical rules that describe the methods and procedures of the certification bodies.\n4.The certification bodies referred to in paragraph 1 shall be responsible for the proper assessment leading to the certification or the withdrawal of such certification without prejudice to the responsibility of the controller or processor for compliance with this Regulation. The accreditation shall be issued for a maximum period of five years and may be renewed on the same conditions provided that the certification body meets the requirements set out in this Article.\n5.The certification bodies referred to in paragraph 1 shall provide the competent supervisory authorities with the reasons for granting or withdrawing the requested certification.\n6.The requirements referred to in paragraph 3 of this Article and the criteria referred to in Article 42(5) shall be made public by the supervisory authority in an easily accessible form. The supervisory authorities shall also transmit those requirements and criteria to the Board. The Board shall collate all certification mechanisms and data protection seals in a register and shall make them publicly available by any appropriate means.\n7.Without prejudice to Chapter VIII, the competent supervisory authority or the national accreditation body shall revoke an accreditation of a certification body pursuant to paragraph 1 of this Article where the conditions for the accreditation are not, or are no longer, met or where actions taken by a certification body infringe this Regulation.\n8.The Commission shall be empowered to adopt delegated acts in accordance with Article 92 for the purpose of specifying the requirements to be taken into account for the data protection certification mechanisms referred to in Article 42(1).\n9.The Commission may adopt implementing acts laying down technical standards for certification mechanisms and data protection seals and marks, and mechanisms to promote and recognise those certification mechanisms, seals and marks. Those implementing acts shall be adopted in accordance with the examination procedure referred to in Article 93(2). CHAPTER V Transfers of personal data to third countries or international organisations",
    "1.The supervisory authorities shall, where appropriate, conduct joint operations including joint investigations and joint enforcement measures in which members or staff of the supervisory authorities of other Member States are involved. 4.5.2016 L 119/72  \n2.Where the controller or processor has establishments in several Member States or where a significant number of data subjects in more than one Member State are likely to be substantially affected by processing operations, a supervisory authority of each of those Member States shall have the right to participate in joint operations. The supervisory authority which is competent pursuant to Article 56(1) or (4) shall invite the supervisory authority of each of those Member States to take part in the joint operations and shall respond without delay to the request of a supervisory authority to participate.\n3.A supervisory authority may, in accordance with Member State law, and with the seconding supervisory authority's authorisation, confer powers, including investigative powers on the seconding supervisory authority's members or staff involved in joint operations or, in so far as the law of the Member State of the host supervisory authority permits, allow the seconding supervisory authority's members or staff to exercise their investigative powers in accordance with the law of the Member State of the seconding supervisory authority. Such investigative powers may be exercised only under the guidance and in the presence of members or staff of the host supervisory authority. The seconding supervisory authority's members or staff shall be subject to the Member State law of the host supervisory authority.\n4.Where, in accordance with paragraph 1, staff of a seconding supervisory authority operate in another Member State, the Member State of the host supervisory authority shall assume responsibility for their actions, including liability, for any damage caused by them during their operations, in accordance with the law of the Member State in whose territory they are operating.\n5.The Member State in whose territory the damage was caused shall make good such damage under the conditions applicable to damage caused by its own staff. The Member State of the seconding supervisory authority whose staff has caused damage to any person in the territory of another Member State shall reimburse that other Member State in full any sums it has paid to the persons entitled on their behalf.\n6.Without prejudice to the exercise of its rights vis-à-vis third parties and with the exception of paragraph 5, each Member State shall refrain, in the case provided for in paragraph 1, from requesting reimbursement from another Member State in relation to damage referred to in paragraph 4\n7.Where a joint operation is intended and a supervisory authority does not, within one month, comply with the obligation laid down in the second sentence of paragraph 2 of this Article, the other supervisory authorities may adopt a provisional measure on the territory of its Member State in accordance with Article 55. In that case, the urgent need to act under Article 66(1) shall be presumed to be met and require an opinion or an urgent binding decision from the Board pursuant to Article 66(2). Section 2 Consistency"
]
embeddings = model.encode(sentences)

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

multilingual_e5_large Finetuned on Data

This is a sentence-transformers model finetuned from intfloat/multilingual-e5-large. It maps sentences & paragraphs to a 1024-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: intfloat/multilingual-e5-large
Maximum Sequence Length: 512 tokens
Output Dimensionality: 1024 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': 'XLMRobertaModel'})
  (1): Pooling({'word_embedding_dimension': 1024, '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})
  (2): Normalize()
)

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 = [
    'In what situations are restrictions imposed for the prevention of threats?',
    'Restrictions concerning specific principles and the rights of information, access to and rectification or erasure of personal data, the right to data portability, the right to object, decisions based on profiling, as well as the communication of a personal data breach to a data subject and certain related obligations of the controllers may be imposed by Union or Member State law, as far as necessary and proportionate in a democratic society to safeguard public security, including the protection of human life especially in response to natural or manmade disasters, the prevention, investigation and prosecution of criminal offences or the execution of criminal penalties, including the safeguarding against and the prevention of threats to public security, or of breaches of ethics for regulated professions, other important objectives of general public interest of the Union or of a Member State, in particular an important economic or financial interest of the Union or of a Member State, the keeping of public registers kept for reasons of general public interest, further processing of archived personal data to provide specific information related to the political behaviour under former totalitarian state regimes or the protection of the data subject or the rights and freedoms of others, including social protection, public health and humanitarian purposes. Those restrictions should be in accordance with the requirements set out in the Charter and in the European Convention for the Protection of Human Rights and Fundamental Freedoms.',
    "The data subject should have the right not to be subject to a decision, which may include a measure, evaluating personal aspects relating to him or her which is based solely on automated processing and which produces legal effects concerning him or her or similarly significantly affects him or her, such as automatic refusal of an online credit application or e-recruiting practices without any human intervention. Such processing includes ‘profiling’ that consists of any form of automated processing of personal data evaluating the personal aspects relating to a natural person, in particular to analyse or predict aspects concerning the data subject's performance at work, economic situation, health, personal preferences or interests, reliability or behaviour, location or movements, where it produces legal effects concerning him or her or similarly significantly affects him or her. However, decision-making based on such processing, including profiling, should be allowed where expressly authorised by Union or Member State law to which the controller is subject, including for fraud and tax-evasion monitoring and prevention purposes conducted in accordance with the regulations, standards and recommendations of Union institutions or national oversight bodies and to ensure the security and reliability of a service provided by the controller, or necessary for the entering or performance of a contract between the data subject and a controller, or when the data subject has given his or her explicit consent. In any case, such processing should be subject to suitable safeguards, which should include specific information to the data subject and the right to obtain human intervention, to express his or her point of view, to obtain an explanation of the decision reached after such assessment and to challenge the decision. Such measure should not concern a child. In order to ensure fair and transparent processing in respect of the data subject, taking into account the specific circumstances and context in which the personal data are processed, the controller should use appropriate mathematical or statistical procedures for the profiling, implement technical and organisational measures appropriate to ensure, in particular, that factors which result in inaccuracies in personal data are corrected and the risk of errors is minimised, secure personal data in a manner that takes account of the potential risks involved for the interests and rights of the data subject and that prevents, inter alia, discriminatory effects on natural persons on the basis of racial or ethnic origin, political opinion, religion or beliefs, trade union membership, genetic or health status or sexual orientation, or that result in measures having such an effect. Automated decision-making and profiling based on special categories of personal data should be allowed only under specific conditions.",
]
embeddings = model.encode(sentences)
print(embeddings.shape)
# [3, 1024]

# Get the similarity scores for the embeddings
similarities = model.similarity(embeddings, embeddings)
print(similarities)
# tensor([[1.0000, 0.5753, 0.0974],
#         [0.5753, 1.0000, 0.2109],
#         [0.0974, 0.2109, 1.0000]])

Evaluation

Metrics

Information Retrieval

Dataset: dim_1024
Evaluated with InformationRetrievalEvaluator with these parameters:
```
{
    "truncate_dim": 1024
}
```

Metric	Value
cosine_accuracy@1	0.4963
cosine_accuracy@3	0.5332
cosine_accuracy@5	0.5749
cosine_accuracy@10	0.6167
cosine_precision@1	0.4963
cosine_precision@3	0.4816
cosine_precision@5	0.4595
cosine_precision@10	0.4086
cosine_recall@1	0.0882
cosine_recall@3	0.2296
cosine_recall@5	0.3155
cosine_recall@10	0.4461
cosine_ndcg@10	0.5529
cosine_mrr@10	0.5231
cosine_map@100	0.5976

Information Retrieval

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

Metric	Value
cosine_accuracy@1	0.5037
cosine_accuracy@3	0.5381
cosine_accuracy@5	0.5749
cosine_accuracy@10	0.6216
cosine_precision@1	0.5037
cosine_precision@3	0.4881
cosine_precision@5	0.4634
cosine_precision@10	0.4145
cosine_recall@1	0.0883
cosine_recall@3	0.2296
cosine_recall@5	0.3143
cosine_recall@10	0.4458
cosine_ndcg@10	0.5576
cosine_mrr@10	0.5293
cosine_map@100	0.5996

Information Retrieval

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

Metric	Value
cosine_accuracy@1	0.4988
cosine_accuracy@3	0.5307
cosine_accuracy@5	0.57
cosine_accuracy@10	0.6143
cosine_precision@1	0.4988
cosine_precision@3	0.4824
cosine_precision@5	0.46
cosine_precision@10	0.4098
cosine_recall@1	0.0879
cosine_recall@3	0.2273
cosine_recall@5	0.3142
cosine_recall@10	0.4446
cosine_ndcg@10	0.5521
cosine_mrr@10	0.5239
cosine_map@100	0.5948

Information Retrieval

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

Metric	Value
cosine_accuracy@1	0.484
cosine_accuracy@3	0.5086
cosine_accuracy@5	0.5504
cosine_accuracy@10	0.5995
cosine_precision@1	0.484
cosine_precision@3	0.4652
cosine_precision@5	0.4457
cosine_precision@10	0.4025
cosine_recall@1	0.0832
cosine_recall@3	0.2115
cosine_recall@5	0.2936
cosine_recall@10	0.4266
cosine_ndcg@10	0.5352
cosine_mrr@10	0.5074
cosine_map@100	0.5804

Information Retrieval

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

Metric	Value
cosine_accuracy@1	0.4472
cosine_accuracy@3	0.4742
cosine_accuracy@5	0.5209
cosine_accuracy@10	0.57
cosine_precision@1	0.4472
cosine_precision@3	0.4292
cosine_precision@5	0.4113
cosine_precision@10	0.3754
cosine_recall@1	0.0803
cosine_recall@3	0.2022
cosine_recall@5	0.2793
cosine_recall@10	0.4092
cosine_ndcg@10	0.5041
cosine_mrr@10	0.4728
cosine_map@100	0.552

Information Retrieval

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

Metric	Value
cosine_accuracy@1	0.4324
cosine_accuracy@3	0.457
cosine_accuracy@5	0.5061
cosine_accuracy@10	0.5651
cosine_precision@1	0.4324
cosine_precision@3	0.4193
cosine_precision@5	0.4029
cosine_precision@10	0.372
cosine_recall@1	0.0727
cosine_recall@3	0.1871
cosine_recall@5	0.2616
cosine_recall@10	0.3928
cosine_ndcg@10	0.4886
cosine_mrr@10	0.4589
cosine_map@100	0.5318

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: 17.25 tokens
max: 39 tokens

min: 27 tokens
mean: 384.26 tokens
max: 512 tokens

	anchor	positive
type	string	string
details	min: 7 tokens mean: 17.25 tokens max: 39 tokens	min: 27 tokens mean: 384.26 tokens max: 512 tokens

Samples:

anchor	positive
`According to the text, what Article is the basis for authorisations by a Member State or supervisory authority to remain valid?`	1.In the absence of a decision pursuant to Article 45(3), a controller or processor may transfer personal data to a third country or an international organisation only if the controller or processor has provided appropriate safeguards, and on condition that enforceable data subject rights and effective legal remedies for data subjects are available. 2.The appropriate safeguards referred to in paragraph 1 may be provided for, without requiring any specific authorisation from a supervisory authority, by: (a) a legally binding and enforceable instrument between public authorities or bodies; (b) binding corporate rules in accordance with Article 47; (c) standard data protection clauses adopted by the Commission in accordance with the examination procedure referred to in Article 93(2); (d) standard data protection clauses adopted by a supervisory authority and approved by the Commission pursuant to the examination procedure referred to in Article 93(2); (e) an approved code of conduct ...
`For what purposes can the processing of personal data for direct marketing purposes be regarded?`	The legitimate interests of a controller, including those of a controller to which the personal data may be disclosed, or of a third party, may provide a legal basis for processing, provided that the interests or the fundamental rights and freedoms of the data subject are not overriding, taking into consideration the reasonable expectations of data subjects based on their relationship with the controller. Such legitimate interest could exist for example where there is a relevant and appropriate relationship between the data subject and the controller in situations such as where the data subject is a client or in the service of the controller. At any rate the existence of a legitimate interest would need careful assessment including whether a data subject can reasonably expect at the time and in the context of the collection of the personal data that processing for that purpose may take place. The interests and fundamental rights of the data subject could in particular override the inte...
`What types of processing operations may be considered high risk?`	Directive 95/46/EC provided for a general obligation to notify the processing of personal data to the supervisory authorities. While that obligation produces administrative and financial burdens, it did not in all cases contribute to improving the protection of personal data. Such indiscriminate general notification obligations should therefore be abolished, and replaced by effective procedures and mechanisms which focus instead on those types of processing operations which are likely to result in a high risk to the rights and freedoms of natural persons by virtue of their nature, scope, context and purposes. Such types of processing operations may be those which in, particular, involve using new technologies, or are of a new kind and where no data protection impact assessment has been carried out before by the controller, or where they become necessary in the light of the time that has elapsed since the initial processing.

Loss: MatryoshkaLoss with these parameters:

{
    "loss": "MultipleNegativesRankingLoss",
    "matryoshka_dims": [
        1024,
        768,
        512,
        256,
        128,
        64
    ],
    "matryoshka_weights": [
        1,
        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_1024_cosine_ndcg@10	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	15.324	-	-	-	-	-	-
0.0196	2	17.0147	-	-	-	-	-	-
0.0294	3	14.8225	-	-	-	-	-	-
0.0392	4	13.8462	-	-	-	-	-	-
0.0490	5	16.2999	-	-	-	-	-	-
0.0588	6	17.4877	-	-	-	-	-	-
0.0686	7	17.8605	-	-	-	-	-	-
0.0784	8	15.6806	-	-	-	-	-	-
0.0882	9	13.2464	-	-	-	-	-	-
0.0980	10	15.3883	-	-	-	-	-	-
0.1078	11	13.7659	-	-	-	-	-	-
0.1176	12	13.4036	-	-	-	-	-	-
0.1275	13	14.9356	-	-	-	-	-	-
0.1373	14	16.1803	-	-	-	-	-	-
0.1471	15	16.3122	-	-	-	-	-	-
0.1569	16	15.4618	-	-	-	-	-	-
0.1667	17	15.5073	-	-	-	-	-	-
0.1765	18	11.6437	-	-	-	-	-	-
0.1863	19	12.2171	-	-	-	-	-	-
0.1961	20	14.9219	-	-	-	-	-	-
0.2059	21	14.5069	-	-	-	-	-	-
0.2157	22	15.0117	-	-	-	-	-	-
0.2255	23	14.6466	-	-	-	-	-	-
0.2353	24	13.3104	-	-	-	-	-	-
0.2451	25	12.5101	-	-	-	-	-	-
0.2549	26	11.3922	-	-	-	-	-	-
0.2647	27	11.772	-	-	-	-	-	-
0.2745	28	11.8186	-	-	-	-	-	-
0.2843	29	11.6001	-	-	-	-	-	-
0.2941	30	9.9045	-	-	-	-	-	-
0.3039	31	13.2828	-	-	-	-	-	-
0.3137	32	12.6591	-	-	-	-	-	-
0.3235	33	12.3677	-	-	-	-	-	-
0.3333	34	8.0986	-	-	-	-	-	-
0.3431	35	10.4323	-	-	-	-	-	-
0.3529	36	11.9792	-	-	-	-	-	-
0.3627	37	9.8071	-	-	-	-	-	-
0.3725	38	11.7875	-	-	-	-	-	-
0.3824	39	10.6545	-	-	-	-	-	-
0.3922	40	8.9779	-	-	-	-	-	-
0.4020	41	12.0673	-	-	-	-	-	-
0.4118	42	13.7131	-	-	-	-	-	-
0.4216	43	8.3107	-	-	-	-	-	-
0.4314	44	7.9659	-	-	-	-	-	-
0.4412	45	9.0921	-	-	-	-	-	-
0.4510	46	9.7038	-	-	-	-	-	-
0.4608	47	10.4994	-	-	-	-	-	-
0.4706	48	12.5112	-	-	-	-	-	-
0.4804	49	8.3138	-	-	-	-	-	-
0.4902	50	6.2068	-	-	-	-	-	-
0.5	51	9.1321	-	-	-	-	-	-
0.5098	52	8.7041	-	-	-	-	-	-
0.5196	53	7.4798	-	-	-	-	-	-
0.5294	54	9.5009	-	-	-	-	-	-
0.5392	55	9.628	-	-	-	-	-	-
0.5490	56	16.058	-	-	-	-	-	-
0.5588	57	11.9913	-	-	-	-	-	-
0.5686	58	11.1787	-	-	-	-	-	-
0.5784	59	7.6791	-	-	-	-	-	-
0.5882	60	6.8413	-	-	-	-	-	-
0.5980	61	4.0237	-	-	-	-	-	-
0.6078	62	7.5481	-	-	-	-	-	-
0.6176	63	6.2388	-	-	-	-	-	-
0.6275	64	6.7651	-	-	-	-	-	-
0.6373	65	7.0816	-	-	-	-	-	-
0.6471	66	8.7256	-	-	-	-	-	-
0.6569	67	6.9846	-	-	-	-	-	-
0.6667	68	4.045	-	-	-	-	-	-
0.6765	69	9.9729	-	-	-	-	-	-
0.6863	70	9.2729	-	-	-	-	-	-
0.6961	71	6.4106	-	-	-	-	-	-
0.7059	72	10.5278	-	-	-	-	-	-
0.7157	73	8.4437	-	-	-	-	-	-
0.7255	74	7.8812	-	-	-	-	-	-
0.7353	75	7.5065	-	-	-	-	-	-
0.7451	76	10.6546	-	-	-	-	-	-
0.7549	77	7.9648	-	-	-	-	-	-
0.7647	78	5.0529	-	-	-	-	-	-
0.7745	79	10.1484	-	-	-	-	-	-
0.7843	80	9.2155	-	-	-	-	-	-
0.7941	81	6.6863	-	-	-	-	-	-
0.8039	82	7.5756	-	-	-	-	-	-
0.8137	83	7.6175	-	-	-	-	-	-
0.8235	84	7.3882	-	-	-	-	-	-
0.8333	85	6.3436	-	-	-	-	-	-
0.8431	86	10.3158	-	-	-	-	-	-
0.8529	87	3.3064	-	-	-	-	-	-
0.8627	88	7.6493	-	-	-	-	-	-
0.8725	89	4.8372	-	-	-	-	-	-
0.8824	90	5.256	-	-	-	-	-	-
0.8922	91	9.2291	-	-	-	-	-	-
0.9020	92	6.9306	-	-	-	-	-	-
0.9118	93	4.5077	-	-	-	-	-	-
0.9216	94	5.7115	-	-	-	-	-	-
0.9314	95	5.5939	-	-	-	-	-	-
0.9412	96	8.0183	-	-	-	-	-	-
0.9510	97	6.2882	-	-	-	-	-	-
0.9608	98	12.8056	-	-	-	-	-	-
0.9706	99	9.9956	-	-	-	-	-	-
0.9804	100	7.4971	-	-	-	-	-	-
0.9902	101	10.13	-	-	-	-	-	-
1.0	102	3.2411	0.4211	0.4325	0.4349	0.4208	0.4012	0.3538
1.0098	103	5.3225	-	-	-	-	-	-
1.0196	104	4.9438	-	-	-	-	-	-
1.0294	105	7.9672	-	-	-	-	-	-
1.0392	106	5.7196	-	-	-	-	-	-
1.0490	107	3.5121	-	-	-	-	-	-
1.0588	108	3.3512	-	-	-	-	-	-
1.0686	109	6.7686	-	-	-	-	-	-
1.0784	110	7.7489	-	-	-	-	-	-
1.0882	111	2.7172	-	-	-	-	-	-
1.0980	112	4.3175	-	-	-	-	-	-
1.1078	113	8.4022	-	-	-	-	-	-
1.1176	114	5.1214	-	-	-	-	-	-
1.1275	115	7.8083	-	-	-	-	-	-
1.1373	116	3.657	-	-	-	-	-	-
1.1471	117	9.7885	-	-	-	-	-	-
1.1569	118	7.1842	-	-	-	-	-	-
1.1667	119	3.904	-	-	-	-	-	-
1.1765	120	4.5248	-	-	-	-	-	-
1.1863	121	4.0514	-	-	-	-	-	-
1.1961	122	7.3121	-	-	-	-	-	-
1.2059	123	7.195	-	-	-	-	-	-
1.2157	124	4.2942	-	-	-	-	-	-
1.2255	125	7.4596	-	-	-	-	-	-
1.2353	126	5.2864	-	-	-	-	-	-
1.2451	127	1.1805	-	-	-	-	-	-
1.2549	128	2.9964	-	-	-	-	-	-
1.2647	129	6.7119	-	-	-	-	-	-
1.2745	130	5.7116	-	-	-	-	-	-
1.2843	131	5.7917	-	-	-	-	-	-
1.2941	132	6.4809	-	-	-	-	-	-
1.3039	133	8.5369	-	-	-	-	-	-
1.3137	134	5.5397	-	-	-	-	-	-
1.3235	135	5.5748	-	-	-	-	-	-
1.3333	136	5.435	-	-	-	-	-	-
1.3431	137	4.3399	-	-	-	-	-	-
1.3529	138	12.5114	-	-	-	-	-	-
1.3627	139	5.0801	-	-	-	-	-	-
1.3725	140	3.1477	-	-	-	-	-	-
1.3824	141	6.1467	-	-	-	-	-	-
1.3922	142	4.1269	-	-	-	-	-	-
1.4020	143	9.0184	-	-	-	-	-	-
1.4118	144	1.5786	-	-	-	-	-	-
1.4216	145	4.143	-	-	-	-	-	-
1.4314	146	6.3611	-	-	-	-	-	-
1.4412	147	4.9894	-	-	-	-	-	-
1.4510	148	6.227	-	-	-	-	-	-
1.4608	149	1.9417	-	-	-	-	-	-
1.4706	150	5.8058	-	-	-	-	-	-
1.4804	151	5.3881	-	-	-	-	-	-
1.4902	152	8.852	-	-	-	-	-	-
1.5	153	8.7416	-	-	-	-	-	-
1.5098	154	4.1655	-	-	-	-	-	-
1.5196	155	3.7727	-	-	-	-	-	-
1.5294	156	8.1223	-	-	-	-	-	-
1.5392	157	4.1344	-	-	-	-	-	-
1.5490	158	8.3959	-	-	-	-	-	-
1.5588	159	3.1913	-	-	-	-	-	-
1.5686	160	5.2804	-	-	-	-	-	-
1.5784	161	4.0358	-	-	-	-	-	-
1.5882	162	8.2456	-	-	-	-	-	-
1.5980	163	4.315	-	-	-	-	-	-
1.6078	164	7.5692	-	-	-	-	-	-
1.6176	165	1.8122	-	-	-	-	-	-
1.6275	166	4.7641	-	-	-	-	-	-
1.6373	167	3.7781	-	-	-	-	-	-
1.6471	168	1.7589	-	-	-	-	-	-
1.6569	169	11.5894	-	-	-	-	-	-
1.6667	170	2.8734	-	-	-	-	-	-
1.6765	171	3.6949	-	-	-	-	-	-
1.6863	172	2.5401	-	-	-	-	-	-
1.6961	173	6.0829	-	-	-	-	-	-
1.7059	174	7.1026	-	-	-	-	-	-
1.7157	175	6.5876	-	-	-	-	-	-
1.7255	176	3.7488	-	-	-	-	-	-
1.7353	177	7.7088	-	-	-	-	-	-
1.7451	178	3.2405	-	-	-	-	-	-
1.7549	179	2.1942	-	-	-	-	-	-
1.7647	180	7.0455	-	-	-	-	-	-
1.7745	181	2.2278	-	-	-	-	-	-
1.7843	182	2.4134	-	-	-	-	-	-
1.7941	183	6.6062	-	-	-	-	-	-
1.8039	184	6.1013	-	-	-	-	-	-
1.8137	185	4.5338	-	-	-	-	-	-
1.8235	186	3.0266	-	-	-	-	-	-
1.8333	187	7.3554	-	-	-	-	-	-
1.8431	188	3.9763	-	-	-	-	-	-
1.8529	189	2.7192	-	-	-	-	-	-
1.8627	190	3.9852	-	-	-	-	-	-
1.8725	191	9.0477	-	-	-	-	-	-
1.8824	192	8.3791	-	-	-	-	-	-
1.8922	193	5.4102	-	-	-	-	-	-
1.9020	194	8.0572	-	-	-	-	-	-
1.9118	195	5.6405	-	-	-	-	-	-
1.9216	196	4.3343	-	-	-	-	-	-
1.9314	197	5.4153	-	-	-	-	-	-
1.9412	198	4.6588	-	-	-	-	-	-
1.9510	199	8.9407	-	-	-	-	-	-
1.9608	200	8.0808	-	-	-	-	-	-
1.9706	201	4.5329	-	-	-	-	-	-
1.9804	202	4.1046	-	-	-	-	-	-
1.9902	203	6.2329	-	-	-	-	-	-
2.0	204	2.1011	0.4713	0.4656	0.4712	0.4576	0.4470	0.3994
2.0098	205	2.9678	-	-	-	-	-	-
2.0196	206	4.2794	-	-	-	-	-	-
2.0294	207	8.0298	-	-	-	-	-	-
2.0392	208	5.9295	-	-	-	-	-	-
2.0490	209	6.5868	-	-	-	-	-	-
2.0588	210	2.7326	-	-	-	-	-	-
2.0686	211	4.1257	-	-	-	-	-	-
2.0784	212	3.9128	-	-	-	-	-	-
2.0882	213	3.5703	-	-	-	-	-	-
2.0980	214	1.5844	-	-	-	-	-	-
2.1078	215	3.0082	-	-	-	-	-	-
2.1176	216	1.4631	-	-	-	-	-	-
2.1275	217	1.43	-	-	-	-	-	-
2.1373	218	2.6126	-	-	-	-	-	-
2.1471	219	1.3341	-	-	-	-	-	-
2.1569	220	0.6117	-	-	-	-	-	-
2.1667	221	0.5586	-	-	-	-	-	-
2.1765	222	4.7394	-	-	-	-	-	-
2.1863	223	1.6508	-	-	-	-	-	-
2.1961	224	3.1046	-	-	-	-	-	-
2.2059	225	2.4088	-	-	-	-	-	-
2.2157	226	2.2547	-	-	-	-	-	-
2.2255	227	8.064	-	-	-	-	-	-
2.2353	228	7.0364	-	-	-	-	-	-
2.2451	229	3.3294	-	-	-	-	-	-
2.2549	230	4.6495	-	-	-	-	-	-
2.2647	231	1.2139	-	-	-	-	-	-
2.2745	232	5.4169	-	-	-	-	-	-
2.2843	233	5.2787	-	-	-	-	-	-
2.2941	234	3.6312	-	-	-	-	-	-
2.3039	235	2.3246	-	-	-	-	-	-
2.3137	236	2.8142	-	-	-	-	-	-
2.3235	237	3.7731	-	-	-	-	-	-
2.3333	238	1.6033	-	-	-	-	-	-
2.3431	239	1.2218	-	-	-	-	-	-
2.3529	240	7.9152	-	-	-	-	-	-
2.3627	241	4.5164	-	-	-	-	-	-
2.3725	242	5.2189	-	-	-	-	-	-
2.3824	243	4.8904	-	-	-	-	-	-
2.3922	244	1.9568	-	-	-	-	-	-
2.4020	245	1.973	-	-	-	-	-	-
2.4118	246	12.3473	-	-	-	-	-	-
2.4216	247	1.9683	-	-	-	-	-	-
2.4314	248	6.7897	-	-	-	-	-	-
2.4412	249	2.0394	-	-	-	-	-	-
2.4510	250	4.1793	-	-	-	-	-	-
2.4608	251	3.7605	-	-	-	-	-	-
2.4706	252	3.2396	-	-	-	-	-	-
2.4804	253	4.9677	-	-	-	-	-	-
2.4902	254	3.2917	-	-	-	-	-	-
2.5	255	3.6739	-	-	-	-	-	-
2.5098	256	4.0818	-	-	-	-	-	-
2.5196	257	2.997	-	-	-	-	-	-
2.5294	258	5.2039	-	-	-	-	-	-
2.5392	259	2.886	-	-	-	-	-	-
2.5490	260	2.4548	-	-	-	-	-	-
2.5588	261	1.7319	-	-	-	-	-	-
2.5686	262	2.6275	-	-	-	-	-	-
2.5784	263	7.2434	-	-	-	-	-	-
2.5882	264	4.7648	-	-	-	-	-	-
2.5980	265	3.6364	-	-	-	-	-	-
2.6078	266	3.7914	-	-	-	-	-	-
2.6176	267	5.0426	-	-	-	-	-	-
2.6275	268	2.2009	-	-	-	-	-	-
2.6373	269	9.0089	-	-	-	-	-	-
2.6471	270	3.8599	-	-	-	-	-	-
2.6569	271	6.5447	-	-	-	-	-	-
2.6667	272	3.0264	-	-	-	-	-	-
2.6765	273	4.9369	-	-	-	-	-	-
2.6863	274	2.3111	-	-	-	-	-	-
2.6961	275	3.1818	-	-	-	-	-	-
2.7059	276	2.8315	-	-	-	-	-	-
2.7157	277	1.2825	-	-	-	-	-	-
2.7255	278	5.6546	-	-	-	-	-	-
2.7353	279	1.3959	-	-	-	-	-	-
2.7451	280	3.6887	-	-	-	-	-	-
2.7549	281	2.4156	-	-	-	-	-	-
2.7647	282	2.326	-	-	-	-	-	-
2.7745	283	2.1192	-	-	-	-	-	-
2.7843	284	6.8289	-	-	-	-	-	-
2.7941	285	4.0186	-	-	-	-	-	-
2.8039	286	7.0156	-	-	-	-	-	-
2.8137	287	1.9199	-	-	-	-	-	-
2.8235	288	1.6497	-	-	-	-	-	-
2.8333	289	1.1444	-	-	-	-	-	-
2.8431	290	2.7633	-	-	-	-	-	-
2.8529	291	3.2981	-	-	-	-	-	-
2.8627	292	3.9193	-	-	-	-	-	-
2.8725	293	3.8872	-	-	-	-	-	-
2.8824	294	4.3814	-	-	-	-	-	-
2.8922	295	3.5998	-	-	-	-	-	-
2.9020	296	4.9401	-	-	-	-	-	-
2.9118	297	2.7544	-	-	-	-	-	-
2.9216	298	3.0925	-	-	-	-	-	-
2.9314	299	1.9969	-	-	-	-	-	-
2.9412	300	2.9074	-	-	-	-	-	-
2.9510	301	3.322	-	-	-	-	-	-
2.9608	302	7.719	-	-	-	-	-	-
2.9706	303	2.2305	-	-	-	-	-	-
2.9804	304	2.4653	-	-	-	-	-	-
2.9902	305	2.6506	-	-	-	-	-	-
3.0	306	0.8072	0.5359	0.5182	0.5196	0.5022	0.4773	0.4093
3.0098	307	1.451	-	-	-	-	-	-
3.0196	308	0.5015	-	-	-	-	-	-
3.0294	309	1.7901	-	-	-	-	-	-
3.0392	310	1.3272	-	-	-	-	-	-
3.0490	311	2.3769	-	-	-	-	-	-
3.0588	312	2.5458	-	-	-	-	-	-
3.0686	313	3.0403	-	-	-	-	-	-
3.0784	314	3.5089	-	-	-	-	-	-
3.0882	315	2.8959	-	-	-	-	-	-
3.0980	316	2.4988	-	-	-	-	-	-
3.1078	317	2.66	-	-	-	-	-	-
3.1176	318	1.276	-	-	-	-	-	-
3.1275	319	5.7555	-	-	-	-	-	-
3.1373	320	2.1283	-	-	-	-	-	-
3.1471	321	0.5059	-	-	-	-	-	-
3.1569	322	1.0991	-	-	-	-	-	-
3.1667	323	1.6624	-	-	-	-	-	-
3.1765	324	0.4748	-	-	-	-	-	-
3.1863	325	2.3259	-	-	-	-	-	-
3.1961	326	1.2119	-	-	-	-	-	-
3.2059	327	2.9754	-	-	-	-	-	-
3.2157	328	1.3821	-	-	-	-	-	-
3.2255	329	0.5291	-	-	-	-	-	-
3.2353	330	0.8716	-	-	-	-	-	-
3.2451	331	0.3839	-	-	-	-	-	-
3.2549	332	4.9776	-	-	-	-	-	-
3.2647	333	0.1569	-	-	-	-	-	-
3.2745	334	2.5764	-	-	-	-	-	-
3.2843	335	4.1433	-	-	-	-	-	-
3.2941	336	3.1134	-	-	-	-	-	-
3.3039	337	4.1822	-	-	-	-	-	-
3.3137	338	3.2529	-	-	-	-	-	-
3.3235	339	1.0987	-	-	-	-	-	-
3.3333	340	6.1991	-	-	-	-	-	-
3.3431	341	3.094	-	-	-	-	-	-
3.3529	342	0.7698	-	-	-	-	-	-
3.3627	343	1.2345	-	-	-	-	-	-
3.3725	344	1.9209	-	-	-	-	-	-
3.3824	345	5.9982	-	-	-	-	-	-
3.3922	346	4.39	-	-	-	-	-	-
3.4020	347	2.8024	-	-	-	-	-	-
3.4118	348	5.9221	-	-	-	-	-	-
3.4216	349	5.6582	-	-	-	-	-	-
3.4314	350	0.5768	-	-	-	-	-	-
3.4412	351	2.8013	-	-	-	-	-	-
3.4510	352	1.5867	-	-	-	-	-	-
3.4608	353	1.9682	-	-	-	-	-	-
3.4706	354	1.5387	-	-	-	-	-	-
3.4804	355	3.6408	-	-	-	-	-	-
3.4902	356	1.4683	-	-	-	-	-	-
3.5	357	3.6072	-	-	-	-	-	-
3.5098	358	4.7459	-	-	-	-	-	-
3.5196	359	5.3846	-	-	-	-	-	-
3.5294	360	1.6786	-	-	-	-	-	-
3.5392	361	7.1925	-	-	-	-	-	-
3.5490	362	1.6855	-	-	-	-	-	-
3.5588	363	2.1178	-	-	-	-	-	-
3.5686	364	3.2173	-	-	-	-	-	-
3.5784	365	2.4904	-	-	-	-	-	-
3.5882	366	0.7341	-	-	-	-	-	-
3.5980	367	1.6829	-	-	-	-	-	-
3.6078	368	2.9732	-	-	-	-	-	-
3.6176	369	2.2218	-	-	-	-	-	-
3.6275	370	3.5776	-	-	-	-	-	-
3.6373	371	3.1861	-	-	-	-	-	-
3.6471	372	3.4713	-	-	-	-	-	-
3.6569	373	3.5881	-	-	-	-	-	-
3.6667	374	2.0863	-	-	-	-	-	-
3.6765	375	1.8114	-	-	-	-	-	-
3.6863	376	6.5803	-	-	-	-	-	-
3.6961	377	6.3244	-	-	-	-	-	-
3.7059	378	1.4123	-	-	-	-	-	-
3.7157	379	6.1084	-	-	-	-	-	-
3.7255	380	1.0318	-	-	-	-	-	-
3.7353	381	2.3362	-	-	-	-	-	-
3.7451	382	5.2456	-	-	-	-	-	-
3.7549	383	2.9123	-	-	-	-	-	-
3.7647	384	0.894	-	-	-	-	-	-
3.7745	385	0.4678	-	-	-	-	-	-
3.7843	386	1.2149	-	-	-	-	-	-
3.7941	387	5.9688	-	-	-	-	-	-
3.8039	388	4.1268	-	-	-	-	-	-
3.8137	389	5.912	-	-	-	-	-	-
3.8235	390	0.7395	-	-	-	-	-	-
3.8333	391	2.4926	-	-	-	-	-	-
3.8431	392	0.1932	-	-	-	-	-	-
3.8529	393	2.1133	-	-	-	-	-	-
3.8627	394	0.6252	-	-	-	-	-	-
3.8725	395	1.0917	-	-	-	-	-	-
3.8824	396	0.8632	-	-	-	-	-	-
3.8922	397	1.2754	-	-	-	-	-	-
3.9020	398	2.7626	-	-	-	-	-	-
3.9118	399	3.4405	-	-	-	-	-	-
3.9216	400	2.8913	-	-	-	-	-	-
3.9314	401	1.7128	-	-	-	-	-	-
3.9412	402	7.7663	-	-	-	-	-	-
3.9510	403	2.0075	-	-	-	-	-	-
3.9608	404	4.7753	-	-	-	-	-	-
3.9706	405	3.6381	-	-	-	-	-	-
3.9804	406	1.8823	-	-	-	-	-	-
3.9902	407	2.4635	-	-	-	-	-	-
4.0	408	0.1052	0.5362	0.5427	0.5429	0.5083	0.4882	0.4309
4.0098	409	0.3451	-	-	-	-	-	-
4.0196	410	1.6322	-	-	-	-	-	-
4.0294	411	1.0172	-	-	-	-	-	-
4.0392	412	0.3349	-	-	-	-	-	-
4.0490	413	3.2899	-	-	-	-	-	-
4.0588	414	2.4181	-	-	-	-	-	-
4.0686	415	2.087	-	-	-	-	-	-
4.0784	416	1.6162	-	-	-	-	-	-
4.0882	417	0.6417	-	-	-	-	-	-
4.0980	418	0.3975	-	-	-	-	-	-
4.1078	419	1.8162	-	-	-	-	-	-
4.1176	420	0.9521	-	-	-	-	-	-
4.1275	421	1.7726	-	-	-	-	-	-
4.1373	422	4.1018	-	-	-	-	-	-
4.1471	423	0.4848	-	-	-	-	-	-
4.1569	424	0.3066	-	-	-	-	-	-
4.1667	425	1.3922	-	-	-	-	-	-
4.1765	426	1.3455	-	-	-	-	-	-
4.1863	427	2.5684	-	-	-	-	-	-
4.1961	428	2.7308	-	-	-	-	-	-
4.2059	429	6.1926	-	-	-	-	-	-
4.2157	430	0.4893	-	-	-	-	-	-
4.2255	431	0.8947	-	-	-	-	-	-
4.2353	432	3.9226	-	-	-	-	-	-
4.2451	433	0.4447	-	-	-	-	-	-
4.2549	434	1.5509	-	-	-	-	-	-
4.2647	435	0.1494	-	-	-	-	-	-
4.2745	436	0.6653	-	-	-	-	-	-
4.2843	437	1.2474	-	-	-	-	-	-
4.2941	438	1.003	-	-	-	-	-	-
4.3039	439	2.0581	-	-	-	-	-	-
4.3137	440	1.621	-	-	-	-	-	-
4.3235	441	0.354	-	-	-	-	-	-
4.3333	442	2.6752	-	-	-	-	-	-
4.3431	443	1.7156	-	-	-	-	-	-
4.3529	444	1.0886	-	-	-	-	-	-
4.3627	445	1.3605	-	-	-	-	-	-
4.3725	446	2.3739	-	-	-	-	-	-
4.3824	447	1.1467	-	-	-	-	-	-
4.3922	448	4.2469	-	-	-	-	-	-
4.4020	449	0.426	-	-	-	-	-	-
4.4118	450	0.697	-	-	-	-	-	-
4.4216	451	0.4556	-	-	-	-	-	-
4.4314	452	4.3441	-	-	-	-	-	-
4.4412	453	0.1128	-	-	-	-	-	-
4.4510	454	0.4467	-	-	-	-	-	-
4.4608	455	1.1093	-	-	-	-	-	-
4.4706	456	6.4229	-	-	-	-	-	-
4.4804	457	1.907	-	-	-	-	-	-
4.4902	458	2.1577	-	-	-	-	-	-
4.5	459	0.2015	-	-	-	-	-	-
4.5098	460	0.2782	-	-	-	-	-	-
4.5196	461	4.7503	-	-	-	-	-	-
4.5294	462	2.8296	-	-	-	-	-	-
4.5392	463	1.0601	-	-	-	-	-	-
4.5490	464	2.0974	-	-	-	-	-	-
4.5588	465	0.6219	-	-	-	-	-	-
4.5686	466	1.8882	-	-	-	-	-	-
4.5784	467	3.3879	-	-	-	-	-	-
4.5882	468	0.1579	-	-	-	-	-	-
4.5980	469	0.3244	-	-	-	-	-	-
4.6078	470	1.2288	-	-	-	-	-	-
4.6176	471	1.1257	-	-	-	-	-	-
4.6275	472	2.1462	-	-	-	-	-	-
4.6373	473	1.5341	-	-	-	-	-	-
4.6471	474	1.8499	-	-	-	-	-	-
4.6569	475	0.9148	-	-	-	-	-	-
4.6667	476	5.8209	-	-	-	-	-	-
4.6765	477	3.0442	-	-	-	-	-	-
4.6863	478	2.2646	-	-	-	-	-	-
4.6961	479	0.7703	-	-	-	-	-	-
4.7059	480	0.095	-	-	-	-	-	-
4.7157	481	3.467	-	-	-	-	-	-
4.7255	482	1.917	-	-	-	-	-	-
4.7353	483	1.854	-	-	-	-	-	-
4.7451	484	4.401	-	-	-	-	-	-
4.7549	485	0.8289	-	-	-	-	-	-
4.7647	486	1.4017	-	-	-	-	-	-
4.7745	487	3.4552	-	-	-	-	-	-
4.7843	488	2.5176	-	-	-	-	-	-
4.7941	489	4.1714	-	-	-	-	-	-
4.8039	490	3.3605	-	-	-	-	-	-
4.8137	491	0.6329	-	-	-	-	-	-
4.8235	492	0.4342	-	-	-	-	-	-
4.8333	493	1.2999	-	-	-	-	-	-
4.8431	494	3.3324	-	-	-	-	-	-
4.8529	495	0.8587	-	-	-	-	-	-
4.8627	496	4.4243	-	-	-	-	-	-
4.8725	497	0.606	-	-	-	-	-	-
4.8824	498	1.8828	-	-	-	-	-	-
4.8922	499	1.5326	-	-	-	-	-	-
4.9020	500	1.0877	-	-	-	-	-	-
4.9118	501	0.5801	-	-	-	-	-	-
4.9216	502	1.6975	-	-	-	-	-	-
4.9314	503	2.137	-	-	-	-	-	-
4.9412	504	0.2077	-	-	-	-	-	-
4.9510	505	2.5208	-	-	-	-	-	-
4.9608	506	1.6699	-	-	-	-	-	-
4.9706	507	1.9674	-	-	-	-	-	-
4.9804	508	2.0502	-	-	-	-	-	-
4.9902	509	3.2448	-	-	-	-	-	-
5.0	510	0.9598	0.5398	0.5410	0.5305	0.5149	0.4735	0.4376
5.0098	511	1.1768	-	-	-	-	-	-
5.0196	512	1.9281	-	-	-	-	-	-
5.0294	513	2.1877	-	-	-	-	-	-
5.0392	514	0.1436	-	-	-	-	-	-
5.0490	515	5.5032	-	-	-	-	-	-
5.0588	516	0.7393	-	-	-	-	-	-
5.0686	517	0.1758	-	-	-	-	-	-
5.0784	518	1.0376	-	-	-	-	-	-
5.0882	519	0.2352	-	-	-	-	-	-
5.0980	520	0.599	-	-	-	-	-	-
5.1078	521	0.8052	-	-	-	-	-	-
5.1176	522	0.8724	-	-	-	-	-	-
5.1275	523	1.7786	-	-	-	-	-	-
5.1373	524	1.1583	-	-	-	-	-	-
5.1471	525	1.6597	-	-	-	-	-	-
5.1569	526	0.5543	-	-	-	-	-	-
5.1667	527	1.0337	-	-	-	-	-	-
5.1765	528	1.3722	-	-	-	-	-	-
5.1863	529	4.702	-	-	-	-	-	-
5.1961	530	1.9939	-	-	-	-	-	-
5.2059	531	1.8056	-	-	-	-	-	-
5.2157	532	0.84	-	-	-	-	-	-
5.2255	533	1.3357	-	-	-	-	-	-
5.2353	534	0.8736	-	-	-	-	-	-
5.2451	535	1.9759	-	-	-	-	-	-
5.2549	536	3.5364	-	-	-	-	-	-
5.2647	537	2.4263	-	-	-	-	-	-
5.2745	538	0.9878	-	-	-	-	-	-
5.2843	539	0.6477	-	-	-	-	-	-
5.2941	540	0.3962	-	-	-	-	-	-
5.3039	541	1.6336	-	-	-	-	-	-
5.3137	542	0.5501	-	-	-	-	-	-
5.3235	543	0.3524	-	-	-	-	-	-
5.3333	544	2.2072	-	-	-	-	-	-
5.3431	545	0.3129	-	-	-	-	-	-
5.3529	546	0.2931	-	-	-	-	-	-
5.3627	547	3.0659	-	-	-	-	-	-
5.3725	548	4.3941	-	-	-	-	-	-
5.3824	549	0.9272	-	-	-	-	-	-
5.3922	550	0.3424	-	-	-	-	-	-
5.4020	551	0.3234	-	-	-	-	-	-
5.4118	552	0.13	-	-	-	-	-	-
5.4216	553	0.0854	-	-	-	-	-	-
5.4314	554	0.225	-	-	-	-	-	-
5.4412	555	2.3928	-	-	-	-	-	-
5.4510	556	0.1915	-	-	-	-	-	-
5.4608	557	0.8306	-	-	-	-	-	-
5.4706	558	0.3044	-	-	-	-	-	-
5.4804	559	2.031	-	-	-	-	-	-
5.4902	560	0.094	-	-	-	-	-	-
5.5	561	1.7682	-	-	-	-	-	-
5.5098	562	0.1988	-	-	-	-	-	-
5.5196	563	3.5462	-	-	-	-	-	-
5.5294	564	2.431	-	-	-	-	-	-
5.5392	565	0.6328	-	-	-	-	-	-
5.5490	566	1.3962	-	-	-	-	-	-
5.5588	567	2.0889	-	-	-	-	-	-
5.5686	568	0.5087	-	-	-	-	-	-
5.5784	569	1.6965	-	-	-	-	-	-
5.5882	570	0.4892	-	-	-	-	-	-
5.5980	571	0.7345	-	-	-	-	-	-
5.6078	572	1.6501	-	-	-	-	-	-
5.6176	573	0.8206	-	-	-	-	-	-
5.6275	574	0.1313	-	-	-	-	-	-
5.6373	575	0.7477	-	-	-	-	-	-
5.6471	576	0.3	-	-	-	-	-	-
5.6569	577	1.4371	-	-	-	-	-	-
5.6667	578	1.0097	-	-	-	-	-	-
5.6765	579	1.154	-	-	-	-	-	-
5.6863	580	2.3609	-	-	-	-	-	-
5.6961	581	1.4063	-	-	-	-	-	-
5.7059	582	1.2086	-	-	-	-	-	-
5.7157	583	0.9134	-	-	-	-	-	-
5.7255	584	1.2729	-	-	-	-	-	-
5.7353	585	1.0212	-	-	-	-	-	-
5.7451	586	2.1426	-	-	-	-	-	-
5.7549	587	1.7079	-	-	-	-	-	-
5.7647	588	5.7728	-	-	-	-	-	-
5.7745	589	1.3294	-	-	-	-	-	-
5.7843	590	0.7796	-	-	-	-	-	-
5.7941	591	1.1574	-	-	-	-	-	-
5.8039	592	2.2228	-	-	-	-	-	-
5.8137	593	1.207	-	-	-	-	-	-
5.8235	594	3.1609	-	-	-	-	-	-
5.8333	595	0.2712	-	-	-	-	-	-
5.8431	596	0.4125	-	-	-	-	-	-
5.8529	597	1.4667	-	-	-	-	-	-
5.8627	598	0.5438	-	-	-	-	-	-
5.8725	599	0.4254	-	-	-	-	-	-
5.8824	600	6.1285	-	-	-	-	-	-
5.8922	601	1.118	-	-	-	-	-	-
5.9020	602	1.7777	-	-	-	-	-	-
5.9118	603	0.2286	-	-	-	-	-	-
5.9216	604	1.579	-	-	-	-	-	-
5.9314	605	0.1557	-	-	-	-	-	-
5.9412	606	0.6507	-	-	-	-	-	-
5.9510	607	1.0022	-	-	-	-	-	-
5.9608	608	0.6313	-	-	-	-	-	-
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6.0	612	0.0075	0.5460	0.5573	0.5504	0.5377	0.5031	0.4622
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6.0294	615	0.7203	-	-	-	-	-	-
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6.4510	658	2.1971	-	-	-	-	-	-
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6.9510	709	2.7437	-	-	-	-	-	-
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6.9902	713	1.0678	-	-	-	-	-	-
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7.0098	715	0.4542	-	-	-	-	-	-
7.0196	716	1.7377	-	-	-	-	-	-
7.0294	717	0.7405	-	-	-	-	-	-
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7.2059	735	0.4079	-	-	-	-	-	-
7.2157	736	2.1752	-	-	-	-	-	-
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7.2451	739	2.0319	-	-	-	-	-	-
7.2549	740	1.414	-	-	-	-	-	-
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7.4804	763	0.6816	-	-	-	-	-	-
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7.5490	770	1.3943	-	-	-	-	-	-
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7.6961	785	1.5847	-	-	-	-	-	-
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7.9902	815	0.6086	-	-	-	-	-	-
8.0	816	0.0476	0.5521	0.5556	0.5462	0.5374	0.5033	0.4851
8.0098	817	0.8563	-	-	-	-	-	-
8.0196	818	0.7961	-	-	-	-	-	-
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8.0392	820	0.1805	-	-	-	-	-	-
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8.2353	840	0.0787	-	-	-	-	-	-
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8.2549	842	2.757	-	-	-	-	-	-
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9.1078	929	0.4177	-	-	-	-	-	-
9.1176	930	0.1102	-	-	-	-	-	-
9.1275	931	0.3428	-	-	-	-	-	-
9.1373	932	0.178	-	-	-	-	-	-
9.1471	933	1.0469	-	-	-	-	-	-
9.1569	934	1.0711	-	-	-	-	-	-
9.1667	935	1.2592	-	-	-	-	-	-
9.1765	936	0.4589	-	-	-	-	-	-
9.1863	937	0.0413	-	-	-	-	-	-
9.1961	938	0.119	-	-	-	-	-	-
9.2059	939	1.8376	-	-	-	-	-	-
9.2157	940	0.0359	-	-	-	-	-	-
9.2255	941	0.1707	-	-	-	-	-	-
9.2353	942	2.9861	-	-	-	-	-	-
9.2451	943	0.0806	-	-	-	-	-	-
9.2549	944	0.2299	-	-	-	-	-	-
9.2647	945	0.0742	-	-	-	-	-	-
9.2745	946	0.3245	-	-	-	-	-	-
9.2843	947	0.2226	-	-	-	-	-	-
9.2941	948	0.2429	-	-	-	-	-	-
9.3039	949	0.259	-	-	-	-	-	-
9.3137	950	0.0743	-	-	-	-	-	-
9.3235	951	0.1357	-	-	-	-	-	-
9.3333	952	0.5285	-	-	-	-	-	-
9.3431	953	0.154	-	-	-	-	-	-
9.3529	954	0.0586	-	-	-	-	-	-
9.3627	955	0.1569	-	-	-	-	-	-
9.3725	956	0.3171	-	-	-	-	-	-
9.3824	957	0.0161	-	-	-	-	-	-
9.3922	958	0.0415	-	-	-	-	-	-
9.4020	959	2.5649	-	-	-	-	-	-
9.4118	960	0.2358	-	-	-	-	-	-
9.4216	961	0.6078	-	-	-	-	-	-
9.4314	962	1.802	-	-	-	-	-	-
9.4412	963	0.0035	-	-	-	-	-	-
9.4510	964	0.3974	-	-	-	-	-	-
9.4608	965	1.8158	-	-	-	-	-	-
9.4706	966	0.8078	-	-	-	-	-	-
9.4804	967	0.0497	-	-	-	-	-	-
9.4902	968	0.8231	-	-	-	-	-	-
9.5	969	0.3436	-	-	-	-	-	-
9.5098	970	1.7315	-	-	-	-	-	-
9.5196	971	0.9816	-	-	-	-	-	-
9.5294	972	1.2535	-	-	-	-	-	-
9.5392	973	0.1249	-	-	-	-	-	-
9.5490	974	0.3484	-	-	-	-	-	-
9.5588	975	0.2927	-	-	-	-	-	-
9.5686	976	1.5592	-	-	-	-	-	-
9.5784	977	0.4511	-	-	-	-	-	-
9.5882	978	0.4105	-	-	-	-	-	-
9.5980	979	0.1007	-	-	-	-	-	-
9.6078	980	1.0741	-	-	-	-	-	-
9.6176	981	0.4839	-	-	-	-	-	-
9.6275	982	0.1092	-	-	-	-	-	-
9.6373	983	2.4432	-	-	-	-	-	-
9.6471	984	0.1773	-	-	-	-	-	-
9.6569	985	0.1584	-	-	-	-	-	-
9.6667	986	0.1581	-	-	-	-	-	-
9.6765	987	0.1331	-	-	-	-	-	-
9.6863	988	0.1053	-	-	-	-	-	-
9.6961	989	0.1884	-	-	-	-	-	-
9.7059	990	0.1585	-	-	-	-	-	-
9.7157	991	0.0562	-	-	-	-	-	-
9.7255	992	0.1197	-	-	-	-	-	-
9.7353	993	0.2471	-	-	-	-	-	-
9.7451	994	1.7135	-	-	-	-	-	-
9.7549	995	0.0801	-	-	-	-	-	-
9.7647	996	0.2973	-	-	-	-	-	-
9.7745	997	0.062	-	-	-	-	-	-
9.7843	998	2.3336	-	-	-	-	-	-
9.7941	999	1.7538	-	-	-	-	-	-
9.8039	1000	0.2638	-	-	-	-	-	-
9.8137	1001	0.7697	-	-	-	-	-	-
9.8235	1002	0.3561	-	-	-	-	-	-
9.8333	1003	0.1987	-	-	-	-	-	-
9.8431	1004	0.3988	-	-	-	-	-	-
9.8529	1005	0.0579	-	-	-	-	-	-
9.8627	1006	0.1217	-	-	-	-	-	-
9.8725	1007	1.1973	-	-	-	-	-	-
9.8824	1008	2.085	-	-	-	-	-	-
9.8922	1009	0.7251	-	-	-	-	-	-
9.9020	1010	0.1544	-	-	-	-	-	-
9.9118	1011	0.0993	-	-	-	-	-	-
9.9216	1012	0.5318	-	-	-	-	-	-
9.9314	1013	0.0847	-	-	-	-	-	-
9.9412	1014	2.1554	-	-	-	-	-	-
9.9510	1015	0.287	-	-	-	-	-	-
9.9608	1016	0.0654	-	-	-	-	-	-
9.9706	1017	4.5422	-	-	-	-	-	-
9.9804	1018	0.6639	-	-	-	-	-	-
9.9902	1019	0.0347	-	-	-	-	-	-
10.0	1020	0.1511	0.5529	0.5576	0.5521	0.5352	0.5041	0.4886

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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Tensor type

F32

Model tree for IoannisKat1/multilingual-e5-large-ft-new

Base model

intfloat/multilingual-e5-large

Finetuned

(170)

this model

Papers for IoannisKat1/multilingual-e5-large-ft-new

Evaluation results

Cosine Accuracy@1 on dim 1024
self-reported

0.496
Cosine Accuracy@3 on dim 1024
self-reported

0.533
Cosine Accuracy@5 on dim 1024
self-reported

0.575
Cosine Accuracy@10 on dim 1024
self-reported

0.617
Cosine Precision@1 on dim 1024
self-reported

0.496
Cosine Precision@3 on dim 1024
self-reported

0.482
Cosine Precision@5 on dim 1024
self-reported

0.459
Cosine Precision@10 on dim 1024
self-reported

0.409