IoannisKat1/modernbert-embed-base-ft-new

modernbert_embed_base Finetuned on Data

This is a sentence-transformers model finetuned from nomic-ai/modernbert-embed-base. 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: nomic-ai/modernbert-embed-base
• Maximum Sequence Length: 8192 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': 8192, 'do_lower_case': False, 'architecture': 'ModernBertModel'})
  (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})
  (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 = [
    'What action was the plaintiff urged to complete within the next 24 hours?',
    '**Court (Civil/Criminal): Civil**\n\n**Provisions:**\n\n**Time of commission of the act:**\n\n**Outcome (not guilty, guilty):**\n\n**Rationale:**\n\n**Facts:**\nThe plaintiff holds credit card number ............ with the defendant banking corporation. Based on the application for alternative networks dated 19/7/2015 with number ......... submitted at a branch of the defendant, he was granted access to the electronic banking service (e-banking) to conduct banking transactions (debit, credit, updates, payments) remotely. On 30/11/2020, the plaintiff fell victim to electronic fraud through the "phishing" method, whereby an unknown perpetrator managed to withdraw a total amount of €3,121.75 from the aforementioned credit card. Specifically, the plaintiff received an email at 1:35 PM on 29/11/2020 from sender ...... with address ........, informing him that due to an impending system change, he needed to verify the mobile phone number linked to the credit card, urging him to complete the verification process within the next 24 hours by following a link titled ........; otherwise, his account would be locked for security reasons. The plaintiff read this email on the afternoon of 30 November 2020 and, believing it was from the defendant, followed the instructions and proceeded via the provided link to a website that was identical (a clone) to that of the defendant. On this page, he was asked to enter the six-digit security code (.........) that had just been sent to his mobile phone by the defendant at 3:41 PM, with the note that it was an activation code for his ........ card at ........., which he entered.\n\nSubsequently, the plaintiff received, according to his statements, a new email (not submitted), which requested him to enter the details of the aforementioned credit card, specifically the name of the cardholder and the card number, not the PIN, which he also entered, convinced that he was within the online environment of the defendant. Then, at 3:47 PM, he received a message on his mobile phone from the defendant containing the exact same content as the one he received at 3:41 PM, while at 3:50 PM he received a message stating that the activation of his ......... card at ....... had been completed. Once the plaintiff read this, he became concerned that something was not right, and immediately called (at 4:41 PM) the defendant\'s call center to inform them. There, the employees, with whom he finally connected at 5:04 PM due to high call center volume, advised him to delete the relevant emails, cancel his credit card, change his access passwords for the service, and submit a dispute request regarding the conducted transactions. The plaintiff electronically sent this request to the defendant, disputing the detailed transactions amounting to €3,121.75, which were conducted on 30/11/2020 during the time frame of 16:37:45-16:43:34 PM, arguing that he had neither performed them himself nor authorized anyone else to do so. The plaintiff specifically disputed the following transactions, as evidenced by the account activity of the disputed credit card during the aforementioned timeframe: a) transaction number ......... amounting to €150.62 conducted on 30/11/2020 at 4:43:34 PM, b) transaction number ........ amounting to €293.20 conducted on 30/11/2020 at 4:42:40 PM, c) transaction number ............ amounting to €295.21 conducted on 30/11/2020 at 4:42:10 PM, d) transaction number .......... amounting to €299.22 conducted on 30/11/2020 at 4:41:31 PM, e) transaction number ........ amounting to €297.21 conducted on 30/11/2020 at 4:41:01 PM, f) transaction number ........ amounting to €299.22 conducted on 30/11/2020 at 4:40:27 PM, g) transaction number ....... amounting to €299.22 conducted on 30/11/2020 at 4:39:55 PM, h) transaction number ...... amounting to €299.22 conducted on 30/11/2020 at 4:39:22 PM, i) transaction number ......... amounting to €297.22 conducted on 30/11/2020 at 4:38:52 PM, j) transaction number ......... amounting to €295.21 conducted on 30/11/2020 at 4:38:17 PM, and k) transaction number ......... amounting to €296.21 conducted on 30/11/2020 at 4:37:45 PM. In its response letter dated 21/12/2020, the defendant denied responsibility for the costs of the aforementioned transactions, placing the entire blame on the plaintiff for the leak of his card details and security code to the fraudulent page. The plaintiff, completely denying any fault for the conducted transactions, repeatedly contacted the defendant, both by phone and via email (see emails dated 15/1/2021 and 11/2/2021), while on 2/3/2021, he electronically sent a report dated 1/03/2021 to the Consumer Advocate’s email address, recounting the events and requesting that the aforementioned Independent Authority intervene to have the disputed debt canceled. In its letter with reference number ...../27.04.2021, the aforementioned Independent Authority informed the plaintiff that the case was outside its mediating role and was therefore archived. Subsequently, the plaintiff sent the defendant on 5/3/2021 his extrajudicial statement dated 4/3/2021, calling upon it to fully cancel the debt of €3,121.75 that had been unjustly incurred against him within two days and to immediately instruct the representatives of the collection agency working with it to cease contacting him regarding the disputed case. The defendant sent the plaintiff a message on his mobile phone on 20/04/2021 informing him that his case was still being processed due to lengthy operational requirements, while on 23/04/2021, via email, it informed him that considering their good cooperation and his efforts to keep them updated, it had reviewed his case and decided to refund him the amounts of the transactions that were conducted after his contact with their representatives on 30/11/2020 at 4:41 PM, totaling €1,038.25, specifically the following: a) transaction of €150.62 conducted on 30/11/2020 at 4:43 PM, b) transaction of €295.21 conducted on 30/11/2020 at 4:42 PM, c) transaction of €293.20 conducted on 30/11/2020 at 4:42 PM, and d) transaction of €299.22 conducted on 30/11/2020 at 4:41 PM. Beyond this, the defendant refused to refund the plaintiff the amount of the remaining transactions conducted on 30/11/2020, totaling €2,376.08 (and not €2,376.48 as incorrectly stated by the plaintiff in his lawsuit), which the plaintiff ultimately fully paid, transferring €2,342.77 to the defendant on 7/06/2021 and €33.31 on 15/06/2021 (see related deposit receipts).',
    "1.Without prejudice to other tasks set out under this Regulation, each supervisory authority shall on its territory: (a)  monitor and enforce the application of this Regulation; (b)  promote public awareness and understanding of the risks, rules, safeguards and rights in relation to processing. Activities addressed specifically to children shall receive specific attention; (c)  advise, in accordance with Member State law, the national parliament, the government, and other institutions and bodies on legislative and administrative measures relating to the protection of natural persons' rights and freedoms with regard to processing; (d)  promote the awareness of controllers and processors of their obligations under this Regulation; (e)  upon request, provide information to any data subject concerning the exercise of their rights under this Regulation and, if appropriate, cooperate with the supervisory authorities in other Member States to that end; (f)  handle complaints lodged by a data subject, or by a body, organisation or association in accordance with Article 80, and investigate, to the extent appropriate, the subject matter of the complaint and inform the complainant of the progress and the outcome of the investigation within a reasonable period, in particular if further investigation or coordination with another supervisory authority is necessary; (g)  cooperate with, including sharing information and provide mutual assistance to, other supervisory authorities with a view to ensuring the consistency of application and enforcement of this Regulation; (h)  conduct investigations on the application of this Regulation, including on the basis of information received from another supervisory authority or other public authority; (i)  monitor relevant developments, insofar as they have an impact on the protection of personal data, in particular the development of information and communication technologies and commercial practices; (j)  adopt standard contractual clauses referred to in Article 28(8) and in point (d) of Article 46(2); (k)  establish and maintain a list in relation to the requirement for data protection impact assessment pursuant to Article 35(4); (l)  give advice on the processing operations referred to in Article 36(2); (m)  encourage the drawing up of codes of conduct pursuant to Article 40(1) and provide an opinion and approve such codes of conduct which provide sufficient safeguards, pursuant to Article 40(5); (n)  encourage the establishment of data protection certification mechanisms and of data protection seals and marks pursuant to Article 42(1), and approve the criteria of certification pursuant to Article 42(5); (o)  where applicable, carry out a periodic review of certifications issued in accordance with Article 42(7); 4.5.2016 L 119/68   (p)  draft and publish the criteria for accreditation of a body for monitoring codes of conduct pursuant to Article 41 and of a certification body pursuant to Article 43; (q)  conduct the accreditation of a body for monitoring codes of conduct pursuant to Article 41 and of a certification body pursuant to Article 43; (r)  authorise contractual clauses and provisions referred to in Article 46(3); (s)  approve binding corporate rules pursuant to Article 47; (t)  contribute to the activities of the Board; (u)  keep internal records of infringements of this Regulation and of measures taken in accordance with Article 58(2); and (v)  fulfil any other tasks related to the protection of personal data.\n2.Each supervisory authority shall facilitate the submission of complaints referred to in point (f) of paragraph 1 by measures such as a complaint submission form which can also be completed electronically, without excluding other means of communication.\n3.The performance of the tasks of each supervisory authority shall be free of charge for the data subject and, where applicable, for the data protection officer.\n4.Where requests are manifestly unfounded or excessive, in particular because of their repetitive character, the supervisory authority may charge a reasonable fee based on administrative costs, or refuse to act on the request. The supervisory authority shall bear the burden of demonstrating the manifestly unfounded or excessive character of the request.",
]
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,  0.3932, -0.0156],
#         [ 0.3932,  1.0000, -0.0606],
#         [-0.0156, -0.0606,  1.0000]])

Evaluation

Metrics

Information Retrieval

• Dataset: dim_768
• Evaluated with InformationRetrievalEvaluator with these parameters:

  {
      "truncate_dim": 768
  }
  

Metric	Value
cosine_accuracy@1	0.516
cosine_accuracy@3	0.5676
cosine_accuracy@5	0.5946
cosine_accuracy@10	0.6314
cosine_precision@1	0.516
cosine_precision@3	0.507
cosine_precision@5	0.4811
cosine_precision@10	0.4199
cosine_recall@1	0.0922
cosine_recall@3	0.2413
cosine_recall@5	0.3284
cosine_recall@10	0.4384
cosine_ndcg@10	0.5731
cosine_mrr@10	0.5448
cosine_map@100	0.6213

Information Retrieval

• Dataset: dim_512
• Evaluated with InformationRetrievalEvaluator with these parameters:

  {
      "truncate_dim": 512
  }
  

Metric	Value
cosine_accuracy@1	0.5061
cosine_accuracy@3	0.5455
cosine_accuracy@5	0.5848
cosine_accuracy@10	0.6241
cosine_precision@1	0.5061
cosine_precision@3	0.4922
cosine_precision@5	0.4678
cosine_precision@10	0.4101
cosine_recall@1	0.0925
cosine_recall@3	0.2351
cosine_recall@5	0.3212
cosine_recall@10	0.4313
cosine_ndcg@10	0.5621
cosine_mrr@10	0.5338
cosine_map@100	0.6107

Information Retrieval

• Dataset: dim_256
• Evaluated with InformationRetrievalEvaluator with these parameters:

  {
      "truncate_dim": 256
  }
  

Metric	Value
cosine_accuracy@1	0.4988
cosine_accuracy@3	0.5504
cosine_accuracy@5	0.5676
cosine_accuracy@10	0.5897
cosine_precision@1	0.4988
cosine_precision@3	0.4889
cosine_precision@5	0.4614
cosine_precision@10	0.3983
cosine_recall@1	0.0915
cosine_recall@3	0.2331
cosine_recall@5	0.3163
cosine_recall@10	0.4234
cosine_ndcg@10	0.5488
cosine_mrr@10	0.5232
cosine_map@100	0.6028

Information Retrieval

• Dataset: dim_128
• Evaluated with InformationRetrievalEvaluator with these parameters:

  {
      "truncate_dim": 128
  }
  

Metric	Value
cosine_accuracy@1	0.4619
cosine_accuracy@3	0.5135
cosine_accuracy@5	0.5332
cosine_accuracy@10	0.57
cosine_precision@1	0.4619
cosine_precision@3	0.4562
cosine_precision@5	0.43
cosine_precision@10	0.3764
cosine_recall@1	0.0832
cosine_recall@3	0.2142
cosine_recall@5	0.2904
cosine_recall@10	0.3925
cosine_ndcg@10	0.5153
cosine_mrr@10	0.4887
cosine_map@100	0.5673

Information Retrieval

• Dataset: dim_64
• Evaluated with InformationRetrievalEvaluator with these parameters:

  {
      "truncate_dim": 64
  }
  

Metric	Value
cosine_accuracy@1	0.4201
cosine_accuracy@3	0.4545
cosine_accuracy@5	0.4767
cosine_accuracy@10	0.5061
cosine_precision@1	0.4201
cosine_precision@3	0.4103
cosine_precision@5	0.3857
cosine_precision@10	0.3383
cosine_recall@1	0.0752
cosine_recall@3	0.1898
cosine_recall@5	0.2534
cosine_recall@10	0.3454
cosine_ndcg@10	0.4614
cosine_mrr@10	0.4411
cosine_map@100	0.5119

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: 15.44 tokens max: 35 tokens	min: 25 tokens mean: 627.36 tokens max: 2429 tokens

• Samples:

  anchor	positive
  What type of data processing triggers the obligations for entities with fewer than 250 employees?	1.Each controller and, where applicable, the controller's representative, shall maintain a record of processing activities under its responsibility. That record shall contain all of the following information: (a) the name and contact details of the controller and, where applicable, the joint controller, the controller's representative and the data protection officer; (b) the purposes of the processing; (c) a description of the categories of data subjects and of the categories of personal data; 4.5.2016 L 119/50 (d) the categories of recipients to whom the personal data have been or will be disclosed including recipients in third countries or international organisations; (e) where applicable, transfers of personal data to a third country or an international organisation, including the identification of that third country or international organisation and, in the case of transfers referred to in the second subparagraph of Article 49(1), the documentation of suitable safeguards; (f) ...
  For what purposes can the data subject object to data processing based on personal grounds?	1.The data subject shall have the right to object, on grounds relating to his or her particular situation, at any time to processing of personal data concerning him or her which is based on point (e) or (f) of Article 6(1), including profiling based on those provisions. The controller shall no longer process the personal data unless the controller demonstrates compelling legitimate grounds for the processing which override the interests, rights and freedoms of the data subject or for the establishment, exercise or defence of legal claims. 2.Where personal data are processed for direct marketing purposes, the data subject shall have the right to object at any time to processing of personal data concerning him or her for such marketing, which includes profiling to the extent that it is related to such direct marketing. 3.Where the data subject objects to processing for direct marketing purposes, the personal data shall no longer be processed for such purposes. 4.5.2016 L 119/45 4.At th...
  What should legally binding measures refer to?	In order to ensure consistent monitoring and enforcement of this Regulation throughout the Union, the supervisory authorities should have in each Member State the same tasks and effective powers, including powers of investigation, corrective powers and sanctions, and authorisation and advisory powers, in particular in cases of complaints from natural persons, and without prejudice to the powers of prosecutorial authorities under Member State law, to bring infringements of this Regulation to the attention of the judicial authorities and engage in legal proceedings. Such powers should also include the power to impose a temporary or definitive limitation, including a ban, on processing. Member States may specify other tasks related to the protection of personal data under this Regulation. The powers of supervisory authorities should be exercised in accordance with appropriate procedural safeguards set out in Union and Member State law, impartially, fairly and within a reasonable time. In ...

• 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	17.4853	-	-	-	-	-
0.0196	2	15.5822	-	-	-	-	-
0.0294	3	8.6936	-	-	-	-	-
0.0392	4	12.4725	-	-	-	-	-
0.0490	5	8.4815	-	-	-	-	-
0.0588	6	10.6456	-	-	-	-	-
0.0686	7	14.3675	-	-	-	-	-
0.0784	8	10.4737	-	-	-	-	-
0.0882	9	10.21	-	-	-	-	-
0.0980	10	8.6732	-	-	-	-	-
0.1078	11	6.8418	-	-	-	-	-
0.1176	12	8.9665	-	-	-	-	-
0.1275	13	7.3845	-	-	-	-	-
0.1373	14	7.4307	-	-	-	-	-
0.1471	15	8.574	-	-	-	-	-
0.1569	16	13.5512	-	-	-	-	-
0.1667	17	9.0797	-	-	-	-	-
0.1765	18	10.7027	-	-	-	-	-
0.1863	19	8.1399	-	-	-	-	-
0.1961	20	5.2519	-	-	-	-	-
0.2059	21	5.7496	-	-	-	-	-
0.2157	22	6.6065	-	-	-	-	-
0.2255	23	7.2297	-	-	-	-	-
0.2353	24	9.7108	-	-	-	-	-
0.2451	25	6.0649	-	-	-	-	-
0.2549	26	12.5883	-	-	-	-	-
0.2647	27	3.3575	-	-	-	-	-
0.2745	28	8.5852	-	-	-	-	-
0.2843	29	11.2424	-	-	-	-	-
0.2941	30	3.9034	-	-	-	-	-
0.3039	31	4.0761	-	-	-	-	-
0.3137	32	6.7761	-	-	-	-	-
0.3235	33	11.8273	-	-	-	-	-
0.3333	34	9.8458	-	-	-	-	-
0.3431	35	10.1052	-	-	-	-	-
0.3529	36	12.6555	-	-	-	-	-
0.3627	37	7.6164	-	-	-	-	-
0.3725	38	6.2306	-	-	-	-	-
0.3824	39	9.7449	-	-	-	-	-
0.3922	40	9.503	-	-	-	-	-
0.4020	41	3.9503	-	-	-	-	-
0.4118	42	9.0781	-	-	-	-	-
0.4216	43	7.6947	-	-	-	-	-
0.4314	44	7.4759	-	-	-	-	-
0.4412	45	8.9653	-	-	-	-	-
0.4510	46	5.9928	-	-	-	-	-
0.4608	47	7.7841	-	-	-	-	-
0.4706	48	4.9347	-	-	-	-	-
0.4804	49	8.5892	-	-	-	-	-
0.4902	50	7.7227	-	-	-	-	-
0.5	51	8.8423	-	-	-	-	-
0.5098	52	7.9743	-	-	-	-	-
0.5196	53	6.0536	-	-	-	-	-
0.5294	54	6.2513	-	-	-	-	-
0.5392	55	3.7778	-	-	-	-	-
0.5490	56	9.3877	-	-	-	-	-
0.5588	57	9.3963	-	-	-	-	-
0.5686	58	5.6104	-	-	-	-	-
0.5784	59	5.8724	-	-	-	-	-
0.5882	60	3.8029	-	-	-	-	-
0.5980	61	8.6739	-	-	-	-	-
0.6078	62	4.371	-	-	-	-	-
0.6176	63	10.0285	-	-	-	-	-
0.6275	64	9.1923	-	-	-	-	-
0.6373	65	5.1715	-	-	-	-	-
0.6471	66	6.2528	-	-	-	-	-
0.6569	67	5.3587	-	-	-	-	-
0.6667	68	8.1243	-	-	-	-	-
0.6765	69	5.5494	-	-	-	-	-
0.6863	70	4.4475	-	-	-	-	-
0.6961	71	4.8783	-	-	-	-	-
0.7059	72	5.4655	-	-	-	-	-
0.7157	73	1.4754	-	-	-	-	-
0.7255	74	6.2656	-	-	-	-	-
0.7353	75	8.3554	-	-	-	-	-
0.7451	76	6.1232	-	-	-	-	-
0.7549	77	2.2596	-	-	-	-	-
0.7647	78	4.9636	-	-	-	-	-
0.7745	79	5.6401	-	-	-	-	-
0.7843	80	5.5852	-	-	-	-	-
0.7941	81	8.55	-	-	-	-	-
0.8039	82	5.2085	-	-	-	-	-
0.8137	83	5.7077	-	-	-	-	-
0.8235	84	3.9988	-	-	-	-	-
0.8333	85	8.3305	-	-	-	-	-
0.8431	86	7.063	-	-	-	-	-
0.8529	87	6.9146	-	-	-	-	-
0.8627	88	7.1729	-	-	-	-	-
0.8725	89	5.6916	-	-	-	-	-
0.8824	90	4.689	-	-	-	-	-
0.8922	91	10.2449	-	-	-	-	-
0.9020	92	4.4491	-	-	-	-	-
0.9118	93	7.1342	-	-	-	-	-
0.9216	94	6.8294	-	-	-	-	-
0.9314	95	6.429	-	-	-	-	-
0.9412	96	2.6789	-	-	-	-	-
0.9510	97	5.7232	-	-	-	-	-
0.9608	98	4.0619	-	-	-	-	-
0.9706	99	4.7323	-	-	-	-	-
0.9804	100	5.403	-	-	-	-	-
0.9902	101	7.4416	-	-	-	-	-
1.0	102	2.2006	0.5075	0.4838	0.4900	0.4167	0.3557
1.0098	103	2.523	-	-	-	-	-
1.0196	104	1.4913	-	-	-	-	-
1.0294	105	9.9224	-	-	-	-	-
1.0392	106	7.2427	-	-	-	-	-
1.0490	107	3.8076	-	-	-	-	-
1.0588	108	3.5538	-	-	-	-	-
1.0686	109	2.9958	-	-	-	-	-
1.0784	110	5.0938	-	-	-	-	-
1.0882	111	1.6151	-	-	-	-	-
1.0980	112	2.4825	-	-	-	-	-
1.1078	113	2.6052	-	-	-	-	-
1.1176	114	3.2484	-	-	-	-	-
1.1275	115	1.7134	-	-	-	-	-
1.1373	116	4.5488	-	-	-	-	-
1.1471	117	2.9845	-	-	-	-	-
1.1569	118	3.6352	-	-	-	-	-
1.1667	119	5.681	-	-	-	-	-
1.1765	120	2.7269	-	-	-	-	-
1.1863	121	3.1317	-	-	-	-	-
1.1961	122	8.6548	-	-	-	-	-
1.2059	123	1.2277	-	-	-	-	-
1.2157	124	4.8203	-	-	-	-	-
1.2255	125	5.0602	-	-	-	-	-
1.2353	126	5.9304	-	-	-	-	-
1.2451	127	3.8992	-	-	-	-	-
1.2549	128	4.6071	-	-	-	-	-
1.2647	129	7.071	-	-	-	-	-
1.2745	130	2.796	-	-	-	-	-
1.2843	131	4.1005	-	-	-	-	-
1.2941	132	2.4508	-	-	-	-	-
1.3039	133	3.0313	-	-	-	-	-
1.3137	134	1.6569	-	-	-	-	-
1.3235	135	5.6474	-	-	-	-	-
1.3333	136	5.0485	-	-	-	-	-
1.3431	137	5.342	-	-	-	-	-
1.3529	138	2.1806	-	-	-	-	-
1.3627	139	2.3089	-	-	-	-	-
1.3725	140	2.0881	-	-	-	-	-
1.3824	141	1.2435	-	-	-	-	-
1.3922	142	2.3912	-	-	-	-	-
1.4020	143	1.7524	-	-	-	-	-
1.4118	144	5.1758	-	-	-	-	-
1.4216	145	1.9937	-	-	-	-	-
1.4314	146	3.3948	-	-	-	-	-
1.4412	147	4.8789	-	-	-	-	-
1.4510	148	1.9967	-	-	-	-	-
1.4608	149	1.9438	-	-	-	-	-
1.4706	150	5.8335	-	-	-	-	-
1.4804	151	3.2073	-	-	-	-	-
1.4902	152	8.3916	-	-	-	-	-
1.5	153	1.6447	-	-	-	-	-
1.5098	154	2.7262	-	-	-	-	-
1.5196	155	4.0002	-	-	-	-	-
1.5294	156	2.0588	-	-	-	-	-
1.5392	157	1.9514	-	-	-	-	-
1.5490	158	2.0048	-	-	-	-	-
1.5588	159	4.8991	-	-	-	-	-
1.5686	160	5.2414	-	-	-	-	-
1.5784	161	2.193	-	-	-	-	-
1.5882	162	4.6859	-	-	-	-	-
1.5980	163	3.1137	-	-	-	-	-
1.6078	164	2.8398	-	-	-	-	-
1.6176	165	4.6547	-	-	-	-	-
1.6275	166	4.1404	-	-	-	-	-
1.6373	167	5.2769	-	-	-	-	-
1.6471	168	3.6466	-	-	-	-	-
1.6569	169	1.2928	-	-	-	-	-
1.6667	170	7.6842	-	-	-	-	-
1.6765	171	3.6167	-	-	-	-	-
1.6863	172	1.5441	-	-	-	-	-
1.6961	173	4.6245	-	-	-	-	-
1.7059	174	3.4359	-	-	-	-	-
1.7157	175	5.561	-	-	-	-	-
1.7255	176	9.2408	-	-	-	-	-
1.7353	177	3.4619	-	-	-	-	-
1.7451	178	0.7945	-	-	-	-	-
1.7549	179	1.4854	-	-	-	-	-
1.7647	180	4.4899	-	-	-	-	-
1.7745	181	2.9133	-	-	-	-	-
1.7843	182	2.2408	-	-	-	-	-
1.7941	183	3.7768	-	-	-	-	-
1.8039	184	3.2455	-	-	-	-	-
1.8137	185	3.9414	-	-	-	-	-
1.8235	186	2.1961	-	-	-	-	-
1.8333	187	2.4825	-	-	-	-	-
1.8431	188	3.2995	-	-	-	-	-
1.8529	189	2.8202	-	-	-	-	-
1.8627	190	6.1953	-	-	-	-	-
1.8725	191	3.3925	-	-	-	-	-
1.8824	192	3.3051	-	-	-	-	-
1.8922	193	4.141	-	-	-	-	-
1.9020	194	8.7842	-	-	-	-	-
1.9118	195	2.0724	-	-	-	-	-
1.9216	196	5.1611	-	-	-	-	-
1.9314	197	5.0744	-	-	-	-	-
1.9412	198	1.7611	-	-	-	-	-
1.9510	199	1.9447	-	-	-	-	-
1.9608	200	1.0533	-	-	-	-	-
1.9706	201	6.2447	-	-	-	-	-
1.9804	202	1.6885	-	-	-	-	-
1.9902	203	2.0872	-	-	-	-	-
2.0	204	4.7202	0.5224	0.5188	0.5182	0.4677	0.3829
2.0098	205	1.8304	-	-	-	-	-
2.0196	206	0.9245	-	-	-	-	-
2.0294	207	2.1126	-	-	-	-	-
2.0392	208	5.1247	-	-	-	-	-
2.0490	209	1.9362	-	-	-	-	-
2.0588	210	2.6958	-	-	-	-	-
2.0686	211	2.4759	-	-	-	-	-
2.0784	212	2.092	-	-	-	-	-
2.0882	213	4.3632	-	-	-	-	-
2.0980	214	2.8144	-	-	-	-	-
2.1078	215	0.6525	-	-	-	-	-
2.1176	216	0.7783	-	-	-	-	-
2.1275	217	3.2555	-	-	-	-	-
2.1373	218	2.5865	-	-	-	-	-
2.1471	219	3.927	-	-	-	-	-
2.1569	220	0.5981	-	-	-	-	-
2.1667	221	5.5659	-	-	-	-	-
2.1765	222	2.2788	-	-	-	-	-
2.1863	223	1.8267	-	-	-	-	-
2.1961	224	2.0744	-	-	-	-	-
2.2059	225	3.8103	-	-	-	-	-
2.2157	226	1.1361	-	-	-	-	-
2.2255	227	3.3677	-	-	-	-	-
2.2353	228	3.0295	-	-	-	-	-
2.2451	229	1.5912	-	-	-	-	-
2.2549	230	4.2332	-	-	-	-	-
2.2647	231	3.0785	-	-	-	-	-
2.2745	232	2.137	-	-	-	-	-
2.2843	233	3.521	-	-	-	-	-
2.2941	234	5.2255	-	-	-	-	-
2.3039	235	5.3743	-	-	-	-	-
2.3137	236	2.6036	-	-	-	-	-
2.3235	237	0.571	-	-	-	-	-
2.3333	238	0.5066	-	-	-	-	-
2.3431	239	2.6968	-	-	-	-	-
2.3529	240	1.0818	-	-	-	-	-
2.3627	241	0.9833	-	-	-	-	-
2.3725	242	0.8127	-	-	-	-	-
2.3824	243	0.9684	-	-	-	-	-
2.3922	244	4.3469	-	-	-	-	-
2.4020	245	3.7872	-	-	-	-	-
2.4118	246	0.6947	-	-	-	-	-
2.4216	247	1.0844	-	-	-	-	-
2.4314	248	0.4574	-	-	-	-	-
2.4412	249	2.5933	-	-	-	-	-
2.4510	250	1.6238	-	-	-	-	-
2.4608	251	1.5579	-	-	-	-	-
2.4706	252	3.1798	-	-	-	-	-
2.4804	253	1.3299	-	-	-	-	-
2.4902	254	1.431	-	-	-	-	-
2.5	255	1.0556	-	-	-	-	-
2.5098	256	2.3683	-	-	-	-	-
2.5196	257	3.6157	-	-	-	-	-
2.5294	258	1.5859	-	-	-	-	-
2.5392	259	1.2728	-	-	-	-	-
2.5490	260	2.0595	-	-	-	-	-
2.5588	261	2.7455	-	-	-	-	-
2.5686	262	1.3221	-	-	-	-	-
2.5784	263	1.7831	-	-	-	-	-
2.5882	264	1.8362	-	-	-	-	-
2.5980	265	0.4301	-	-	-	-	-
2.6078	266	1.4383	-	-	-	-	-
2.6176	267	3.6068	-	-	-	-	-
2.6275	268	3.2374	-	-	-	-	-
2.6373	269	1.1956	-	-	-	-	-
2.6471	270	3.1378	-	-	-	-	-
2.6569	271	2.8349	-	-	-	-	-
2.6667	272	1.4831	-	-	-	-	-
2.6765	273	2.628	-	-	-	-	-
2.6863	274	1.4708	-	-	-	-	-
2.6961	275	0.8406	-	-	-	-	-
2.7059	276	1.0961	-	-	-	-	-
2.7157	277	0.8955	-	-	-	-	-
2.7255	278	2.2775	-	-	-	-	-
2.7353	279	4.0415	-	-	-	-	-
2.7451	280	3.2129	-	-	-	-	-
2.7549	281	1.4543	-	-	-	-	-
2.7647	282	3.2836	-	-	-	-	-
2.7745	283	1.9991	-	-	-	-	-
2.7843	284	1.7477	-	-	-	-	-
2.7941	285	2.853	-	-	-	-	-
2.8039	286	0.4566	-	-	-	-	-
2.8137	287	0.9655	-	-	-	-	-
2.8235	288	1.6009	-	-	-	-	-
2.8333	289	2.776	-	-	-	-	-
2.8431	290	0.1765	-	-	-	-	-
2.8529	291	0.9924	-	-	-	-	-
2.8627	292	2.1822	-	-	-	-	-
2.8725	293	1.5509	-	-	-	-	-
2.8824	294	0.8738	-	-	-	-	-
2.8922	295	1.1838	-	-	-	-	-
2.9020	296	0.6173	-	-	-	-	-
2.9118	297	1.8889	-	-	-	-	-
2.9216	298	3.8679	-	-	-	-	-
2.9314	299	1.7225	-	-	-	-	-
2.9412	300	2.289	-	-	-	-	-
2.9510	301	3.0041	-	-	-	-	-
2.9608	302	0.7329	-	-	-	-	-
2.9706	303	2.8791	-	-	-	-	-
2.9804	304	3.0804	-	-	-	-	-
2.9902	305	1.1065	-	-	-	-	-
3.0	306	0.2322	0.5170	0.5126	0.5129	0.4741	0.4248
3.0098	307	1.5574	-	-	-	-	-
3.0196	308	1.3758	-	-	-	-	-
3.0294	309	0.6382	-	-	-	-	-
3.0392	310	1.8904	-	-	-	-	-
3.0490	311	2.7908	-	-	-	-	-
3.0588	312	4.3568	-	-	-	-	-
3.0686	313	1.591	-	-	-	-	-
3.0784	314	2.5855	-	-	-	-	-
3.0882	315	1.7845	-	-	-	-	-
3.0980	316	2.7024	-	-	-	-	-
3.1078	317	0.1437	-	-	-	-	-
3.1176	318	0.8981	-	-	-	-	-
3.1275	319	0.8955	-	-	-	-	-
3.1373	320	1.0776	-	-	-	-	-
3.1471	321	1.8035	-	-	-	-	-
3.1569	322	1.1962	-	-	-	-	-
3.1667	323	1.0252	-	-	-	-	-
3.1765	324	0.6757	-	-	-	-	-
3.1863	325	0.4822	-	-	-	-	-
3.1961	326	1.0597	-	-	-	-	-
3.2059	327	2.4075	-	-	-	-	-
3.2157	328	0.8851	-	-	-	-	-
3.2255	329	1.4165	-	-	-	-	-
3.2353	330	3.2401	-	-	-	-	-
3.2451	331	0.455	-	-	-	-	-
3.2549	332	2.5575	-	-	-	-	-
3.2647	333	0.397	-	-	-	-	-
3.2745	334	2.365	-	-	-	-	-
3.2843	335	1.2017	-	-	-	-	-
3.2941	336	0.5282	-	-	-	-	-
3.3039	337	3.37	-	-	-	-	-
3.3137	338	1.1749	-	-	-	-	-
3.3235	339	2.494	-	-	-	-	-
3.3333	340	1.3695	-	-	-	-	-
3.3431	341	2.1702	-	-	-	-	-
3.3529	342	1.7424	-	-	-	-	-
3.3627	343	2.481	-	-	-	-	-
3.3725	344	0.195	-	-	-	-	-
3.3824	345	0.5217	-	-	-	-	-
3.3922	346	1.0893	-	-	-	-	-
3.4020	347	0.606	-	-	-	-	-
3.4118	348	1.5417	-	-	-	-	-
3.4216	349	2.3694	-	-	-	-	-
3.4314	350	0.7988	-	-	-	-	-
3.4412	351	1.2099	-	-	-	-	-
3.4510	352	0.9519	-	-	-	-	-
3.4608	353	1.0354	-	-	-	-	-
3.4706	354	0.4518	-	-	-	-	-
3.4804	355	3.0758	-	-	-	-	-
3.4902	356	0.9814	-	-	-	-	-
3.5	357	2.4242	-	-	-	-	-
3.5098	358	3.3301	-	-	-	-	-
3.5196	359	1.4931	-	-	-	-	-
3.5294	360	0.8788	-	-	-	-	-
3.5392	361	1.056	-	-	-	-	-
3.5490	362	1.3501	-	-	-	-	-
3.5588	363	3.3744	-	-	-	-	-
3.5686	364	7.6844	-	-	-	-	-
3.5784	365	1.9189	-	-	-	-	-
3.5882	366	1.2354	-	-	-	-	-
3.5980	367	1.1185	-	-	-	-	-
3.6078	368	1.4144	-	-	-	-	-
3.6176	369	0.4259	-	-	-	-	-
3.6275	370	0.2264	-	-	-	-	-
3.6373	371	0.7256	-	-	-	-	-
3.6471	372	2.6337	-	-	-	-	-
3.6569	373	1.2556	-	-	-	-	-
3.6667	374	2.3852	-	-	-	-	-
3.6765	375	0.4105	-	-	-	-	-
3.6863	376	1.7846	-	-	-	-	-
3.6961	377	6.6395	-	-	-	-	-
3.7059	378	0.7761	-	-	-	-	-
3.7157	379	1.6567	-	-	-	-	-
3.7255	380	2.2471	-	-	-	-	-
3.7353	381	0.8596	-	-	-	-	-
3.7451	382	0.3693	-	-	-	-	-
3.7549	383	0.8207	-	-	-	-	-
3.7647	384	2.9248	-	-	-	-	-
3.7745	385	1.4509	-	-	-	-	-
3.7843	386	2.2966	-	-	-	-	-
3.7941	387	3.726	-	-	-	-	-
3.8039	388	1.7707	-	-	-	-	-
3.8137	389	0.9623	-	-	-	-	-
3.8235	390	0.7915	-	-	-	-	-
3.8333	391	0.1255	-	-	-	-	-
3.8431	392	1.8356	-	-	-	-	-
3.8529	393	2.0525	-	-	-	-	-
3.8627	394	1.7096	-	-	-	-	-
3.8725	395	1.7327	-	-	-	-	-
3.8824	396	2.4524	-	-	-	-	-
3.8922	397	0.8552	-	-	-	-	-
3.9020	398	2.2829	-	-	-	-	-
3.9118	399	1.7359	-	-	-	-	-
3.9216	400	0.761	-	-	-	-	-
3.9314	401	1.1795	-	-	-	-	-
3.9412	402	0.6309	-	-	-	-	-
3.9510	403	1.5526	-	-	-	-	-
3.9608	404	1.5281	-	-	-	-	-
3.9706	405	1.1863	-	-	-	-	-
3.9804	406	2.1151	-	-	-	-	-
3.9902	407	1.4431	-	-	-	-	-
4.0	408	0.604	0.5387	0.5246	0.5152	0.4760	0.4248
4.0098	409	0.5226	-	-	-	-	-
4.0196	410	0.4814	-	-	-	-	-
4.0294	411	0.7015	-	-	-	-	-
4.0392	412	0.9108	-	-	-	-	-
4.0490	413	1.8203	-	-	-	-	-
4.0588	414	1.2907	-	-	-	-	-
4.0686	415	0.1011	-	-	-	-	-
4.0784	416	0.6205	-	-	-	-	-
4.0882	417	0.2523	-	-	-	-	-
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4.1078	419	1.3579	-	-	-	-	-
4.1176	420	0.6554	-	-	-	-	-
4.1275	421	0.1167	-	-	-	-	-
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4.1471	423	1.2643	-	-	-	-	-
4.1569	424	0.3683	-	-	-	-	-
4.1667	425	0.8441	-	-	-	-	-
4.1765	426	1.7266	-	-	-	-	-
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4.2157	430	1.3623	-	-	-	-	-
4.2255	431	0.2321	-	-	-	-	-
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4.2451	433	2.2527	-	-	-	-	-
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4.2745	436	0.7188	-	-	-	-	-
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4.3137	440	0.5921	-	-	-	-	-
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4.4020	449	0.9901	-	-	-	-	-
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4.4804	457	0.3298	-	-	-	-	-
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4.5098	460	1.3059	-	-	-	-	-
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5.0	510	0.2192	0.5473	0.5499	0.5326	0.5063	0.4490
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5.1765	528	1.3318	-	-	-	-	-
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6.0	612	0.2262	0.5626	0.5517	0.5370	0.4973	0.4439
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6.0980	622	2.2813	-	-	-	-	-
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6.1176	624	0.6719	-	-	-	-	-
6.1275	625	0.8625	-	-	-	-	-
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6.1569	628	0.1819	-	-	-	-	-
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6.1765	630	0.0588	-	-	-	-	-
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6.2549	638	0.2783	-	-	-	-	-
6.2647	639	0.2676	-	-	-	-	-
6.2745	640	0.2932	-	-	-	-	-
6.2843	641	2.0471	-	-	-	-	-
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6.3039	643	0.2343	-	-	-	-	-
6.3137	644	0.3383	-	-	-	-	-
6.3235	645	0.2505	-	-	-	-	-
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6.3431	647	0.0996	-	-	-	-	-
6.3529	648	0.1974	-	-	-	-	-
6.3627	649	0.1524	-	-	-	-	-
6.3725	650	0.167	-	-	-	-	-
6.3824	651	0.6196	-	-	-	-	-
6.3922	652	0.4484	-	-	-	-	-
6.4020	653	0.6763	-	-	-	-	-
6.4118	654	0.0762	-	-	-	-	-
6.4216	655	0.1122	-	-	-	-	-
6.4314	656	1.5314	-	-	-	-	-
6.4412	657	0.2948	-	-	-	-	-
6.4510	658	0.5316	-	-	-	-	-
6.4608	659	0.8572	-	-	-	-	-
6.4706	660	1.9052	-	-	-	-	-
6.4804	661	0.3168	-	-	-	-	-
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6.5	663	1.2313	-	-	-	-	-
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6.5196	665	0.3067	-	-	-	-	-
6.5294	666	0.3117	-	-	-	-	-
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6.5490	668	0.4868	-	-	-	-	-
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6.5686	670	0.9412	-	-	-	-	-
6.5784	671	1.6313	-	-	-	-	-
6.5882	672	0.6452	-	-	-	-	-
6.5980	673	1.9431	-	-	-	-	-
6.6078	674	0.1115	-	-	-	-	-
6.6176	675	1.0499	-	-	-	-	-
6.6275	676	0.6338	-	-	-	-	-
6.6373	677	1.5934	-	-	-	-	-
6.6471	678	0.9806	-	-	-	-	-
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6.6667	680	1.1895	-	-	-	-	-
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6.6961	683	0.8909	-	-	-	-	-
6.7059	684	1.4376	-	-	-	-	-
6.7157	685	2.3231	-	-	-	-	-
6.7255	686	1.6846	-	-	-	-	-
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6.7549	689	0.7306	-	-	-	-	-
6.7647	690	0.5565	-	-	-	-	-
6.7745	691	0.3282	-	-	-	-	-
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6.7941	693	1.1891	-	-	-	-	-
6.8039	694	0.936	-	-	-	-	-
6.8137	695	0.2507	-	-	-	-	-
6.8235	696	1.0859	-	-	-	-	-
6.8333	697	0.6285	-	-	-	-	-
6.8431	698	0.208	-	-	-	-	-
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6.8922	703	0.7688	-	-	-	-	-
6.9020	704	1.8208	-	-	-	-	-
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6.9510	709	0.1992	-	-	-	-	-
6.9608	710	0.1662	-	-	-	-	-
6.9706	711	0.116	-	-	-	-	-
6.9804	712	0.116	-	-	-	-	-
6.9902	713	0.1566	-	-	-	-	-
7.0	714	0.8007	0.5614	0.5626	0.5485	0.5108	0.4514
7.0098	715	1.0775	-	-	-	-	-
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7.0294	717	0.0443	-	-	-	-	-
7.0392	718	1.3114	-	-	-	-	-
7.0490	719	0.2947	-	-	-	-	-
7.0588	720	0.5323	-	-	-	-	-
7.0686	721	0.3138	-	-	-	-	-
7.0784	722	0.8026	-	-	-	-	-
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7.1078	725	0.0799	-	-	-	-	-
7.1176	726	0.0574	-	-	-	-	-
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7.1373	728	1.6721	-	-	-	-	-
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7.1569	730	0.2699	-	-	-	-	-
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7.1765	732	0.1086	-	-	-	-	-
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7.1961	734	1.2667	-	-	-	-	-
7.2059	735	0.1927	-	-	-	-	-
7.2157	736	0.0114	-	-	-	-	-
7.2255	737	0.12	-	-	-	-	-
7.2353	738	0.4625	-	-	-	-	-
7.2451	739	0.0489	-	-	-	-	-
7.2549	740	0.5556	-	-	-	-	-
7.2647	741	0.0939	-	-	-	-	-
7.2745	742	1.6064	-	-	-	-	-
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7.2941	744	1.7594	-	-	-	-	-
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7.3137	746	0.6035	-	-	-	-	-
7.3235	747	0.0507	-	-	-	-	-
7.3333	748	0.0689	-	-	-	-	-
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7.3529	750	0.5325	-	-	-	-	-
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7.4020	755	0.0752	-	-	-	-	-
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7.4510	760	0.5188	-	-	-	-	-
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7.4804	763	0.2051	-	-	-	-	-
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7.5	765	0.1616	-	-	-	-	-
7.5098	766	0.1203	-	-	-	-	-
7.5196	767	2.1851	-	-	-	-	-
7.5294	768	0.7754	-	-	-	-	-
7.5392	769	1.4312	-	-	-	-	-
7.5490	770	0.067	-	-	-	-	-
7.5588	771	1.1101	-	-	-	-	-
7.5686	772	1.7196	-	-	-	-	-
7.5784	773	1.233	-	-	-	-	-
7.5882	774	0.4773	-	-	-	-	-
7.5980	775	0.6321	-	-	-	-	-
7.6078	776	1.1809	-	-	-	-	-
7.6176	777	0.6292	-	-	-	-	-
7.6275	778	0.224	-	-	-	-	-
7.6373	779	0.0644	-	-	-	-	-
7.6471	780	0.0691	-	-	-	-	-
7.6569	781	0.7733	-	-	-	-	-
7.6667	782	0.1648	-	-	-	-	-
7.6765	783	0.2088	-	-	-	-	-
7.6863	784	0.1723	-	-	-	-	-
7.6961	785	0.2156	-	-	-	-	-
7.7059	786	0.0082	-	-	-	-	-
7.7157	787	0.0436	-	-	-	-	-
7.7255	788	0.1314	-	-	-	-	-
7.7353	789	0.3727	-	-	-	-	-
7.7451	790	0.1463	-	-	-	-	-
7.7549	791	0.3104	-	-	-	-	-
7.7647	792	0.2729	-	-	-	-	-
7.7745	793	1.0571	-	-	-	-	-
7.7843	794	0.1072	-	-	-	-	-
7.7941	795	0.0875	-	-	-	-	-
7.8039	796	0.5096	-	-	-	-	-
7.8137	797	0.2251	-	-	-	-	-
7.8235	798	0.1296	-	-	-	-	-
7.8333	799	0.3319	-	-	-	-	-
7.8431	800	1.3618	-	-	-	-	-
7.8529	801	0.3323	-	-	-	-	-
7.8627	802	1.606	-	-	-	-	-
7.8725	803	0.0946	-	-	-	-	-
7.8824	804	0.5191	-	-	-	-	-
7.8922	805	0.0633	-	-	-	-	-
7.9020	806	0.1488	-	-	-	-	-
7.9118	807	1.5574	-	-	-	-	-
7.9216	808	1.4453	-	-	-	-	-
7.9314	809	0.1937	-	-	-	-	-
7.9412	810	0.056	-	-	-	-	-
7.9510	811	0.5072	-	-	-	-	-
7.9608	812	0.1725	-	-	-	-	-
7.9706	813	2.6814	-	-	-	-	-
7.9804	814	0.1841	-	-	-	-	-
7.9902	815	0.1535	-	-	-	-	-
8.0	816	0.1073	0.5691	0.5611	0.5543	0.5114	0.4612
8.0098	817	0.9323	-	-	-	-	-
8.0196	818	0.1021	-	-	-	-	-
8.0294	819	0.1725	-	-	-	-	-
8.0392	820	2.4472	-	-	-	-	-
8.0490	821	1.0844	-	-	-	-	-
8.0588	822	0.4443	-	-	-	-	-
8.0686	823	0.7524	-	-	-	-	-
8.0784	824	0.1689	-	-	-	-	-
8.0882	825	0.5503	-	-	-	-	-
8.0980	826	0.2375	-	-	-	-	-
8.1078	827	0.1354	-	-	-	-	-
8.1176	828	1.6215	-	-	-	-	-
8.1275	829	0.0303	-	-	-	-	-
8.1373	830	0.3468	-	-	-	-	-
8.1471	831	0.7726	-	-	-	-	-
8.1569	832	0.6792	-	-	-	-	-
8.1667	833	0.1267	-	-	-	-	-
8.1765	834	0.4011	-	-	-	-	-
8.1863	835	0.6397	-	-	-	-	-
8.1961	836	0.0328	-	-	-	-	-
8.2059	837	1.165	-	-	-	-	-
8.2157	838	0.0828	-	-	-	-	-
8.2255	839	0.2508	-	-	-	-	-
8.2353	840	0.0924	-	-	-	-	-
8.2451	841	0.6274	-	-	-	-	-
8.2549	842	0.1431	-	-	-	-	-
8.2647	843	0.1021	-	-	-	-	-
8.2745	844	0.0431	-	-	-	-	-
8.2843	845	0.1479	-	-	-	-	-
8.2941	846	2.9723	-	-	-	-	-
8.3039	847	0.1429	-	-	-	-	-
8.3137	848	0.1741	-	-	-	-	-
8.3235	849	0.1693	-	-	-	-	-
8.3333	850	0.0472	-	-	-	-	-
8.3431	851	0.9259	-	-	-	-	-
8.3529	852	0.7457	-	-	-	-	-
8.3627	853	0.2439	-	-	-	-	-
8.3725	854	0.3118	-	-	-	-	-
8.3824	855	0.2956	-	-	-	-	-
8.3922	856	0.0947	-	-	-	-	-
8.4020	857	0.0534	-	-	-	-	-
8.4118	858	0.13	-	-	-	-	-
8.4216	859	0.0773	-	-	-	-	-
8.4314	860	0.0955	-	-	-	-	-
8.4412	861	0.7643	-	-	-	-	-
8.4510	862	0.4416	-	-	-	-	-
8.4608	863	0.6986	-	-	-	-	-
8.4706	864	0.3296	-	-	-	-	-
8.4804	865	0.4026	-	-	-	-	-
8.4902	866	0.229	-	-	-	-	-
8.5	867	0.0834	-	-	-	-	-
8.5098	868	0.0912	-	-	-	-	-
8.5196	869	0.0671	-	-	-	-	-
8.5294	870	1.1507	-	-	-	-	-
8.5392	871	0.1502	-	-	-	-	-
8.5490	872	0.1046	-	-	-	-	-
8.5588	873	0.0684	-	-	-	-	-
8.5686	874	0.9547	-	-	-	-	-
8.5784	875	0.7067	-	-	-	-	-
8.5882	876	0.2754	-	-	-	-	-
8.5980	877	0.1952	-	-	-	-	-
8.6078	878	0.057	-	-	-	-	-
8.6176	879	1.1675	-	-	-	-	-
8.6275	880	0.3879	-	-	-	-	-
8.6373	881	0.1829	-	-	-	-	-
8.6471	882	0.0479	-	-	-	-	-
8.6569	883	0.2623	-	-	-	-	-
8.6667	884	0.0809	-	-	-	-	-
8.6765	885	1.4486	-	-	-	-	-
8.6863	886	0.0912	-	-	-	-	-
8.6961	887	0.2709	-	-	-	-	-
8.7059	888	1.368	-	-	-	-	-
8.7157	889	0.0792	-	-	-	-	-
8.7255	890	0.3759	-	-	-	-	-
8.7353	891	0.1112	-	-	-	-	-
8.7451	892	0.4938	-	-	-	-	-
8.7549	893	0.2688	-	-	-	-	-
8.7647	894	0.0963	-	-	-	-	-
8.7745	895	0.1265	-	-	-	-	-
8.7843	896	1.6611	-	-	-	-	-
8.7941	897	5.0674	-	-	-	-	-
8.8039	898	0.1443	-	-	-	-	-
8.8137	899	1.0081	-	-	-	-	-
8.8235	900	0.1214	-	-	-	-	-
8.8333	901	0.2684	-	-	-	-	-
8.8431	902	0.1454	-	-	-	-	-
8.8529	903	0.271	-	-	-	-	-
8.8627	904	0.2519	-	-	-	-	-
8.8725	905	0.6393	-	-	-	-	-
8.8824	906	0.6015	-	-	-	-	-
8.8922	907	0.1017	-	-	-	-	-
8.9020	908	0.1849	-	-	-	-	-
8.9118	909	1.0315	-	-	-	-	-
8.9216	910	0.1676	-	-	-	-	-
8.9314	911	0.0583	-	-	-	-	-
8.9412	912	1.6259	-	-	-	-	-
8.9510	913	0.5683	-	-	-	-	-
8.9608	914	0.5538	-	-	-	-	-
8.9706	915	0.1566	-	-	-	-	-
8.9804	916	0.6487	-	-	-	-	-
8.9902	917	0.1371	-	-	-	-	-
9.0	918	0.1319	0.5718	0.5614	0.5493	0.5161	0.4632
9.0098	919	0.1949	-	-	-	-	-
9.0196	920	0.803	-	-	-	-	-
9.0294	921	0.1071	-	-	-	-	-
9.0392	922	0.0769	-	-	-	-	-
9.0490	923	0.1774	-	-	-	-	-
9.0588	924	0.1152	-	-	-	-	-
9.0686	925	0.7411	-	-	-	-	-
9.0784	926	0.4709	-	-	-	-	-
9.0882	927	0.0696	-	-	-	-	-
9.0980	928	0.1564	-	-	-	-	-
9.1078	929	0.3091	-	-	-	-	-
9.1176	930	0.2911	-	-	-	-	-
9.1275	931	0.334	-	-	-	-	-
9.1373	932	0.1871	-	-	-	-	-
9.1471	933	0.0695	-	-	-	-	-
9.1569	934	0.6205	-	-	-	-	-
9.1667	935	0.0369	-	-	-	-	-
9.1765	936	0.0349	-	-	-	-	-
9.1863	937	0.092	-	-	-	-	-
9.1961	938	0.0415	-	-	-	-	-
9.2059	939	0.0679	-	-	-	-	-
9.2157	940	0.0508	-	-	-	-	-
9.2255	941	0.1636	-	-	-	-	-
9.2353	942	0.4012	-	-	-	-	-
9.2451	943	0.0441	-	-	-	-	-
9.2549	944	0.0979	-	-	-	-	-
9.2647	945	0.152	-	-	-	-	-
9.2745	946	0.1169	-	-	-	-	-
9.2843	947	0.5413	-	-	-	-	-
9.2941	948	0.1161	-	-	-	-	-
9.3039	949	3.1074	-	-	-	-	-
9.3137	950	0.2096	-	-	-	-	-
9.3235	951	0.4277	-	-	-	-	-
9.3333	952	0.2897	-	-	-	-	-
9.3431	953	0.1469	-	-	-	-	-
9.3529	954	1.4157	-	-	-	-	-
9.3627	955	0.2669	-	-	-	-	-
9.3725	956	0.0898	-	-	-	-	-
9.3824	957	0.9439	-	-	-	-	-
9.3922	958	0.0796	-	-	-	-	-
9.4020	959	1.0793	-	-	-	-	-
9.4118	960	1.6456	-	-	-	-	-
9.4216	961	0.1987	-	-	-	-	-
9.4314	962	0.0507	-	-	-	-	-
9.4412	963	0.742	-	-	-	-	-
9.4510	964	0.0597	-	-	-	-	-
9.4608	965	0.3919	-	-	-	-	-
9.4706	966	0.0297	-	-	-	-	-
9.4804	967	2.4682	-	-	-	-	-
9.4902	968	0.1802	-	-	-	-	-
9.5	969	0.1366	-	-	-	-	-
9.5098	970	1.3555	-	-	-	-	-
9.5196	971	0.2502	-	-	-	-	-
9.5294	972	0.0649	-	-	-	-	-
9.5392	973	0.636	-	-	-	-	-
9.5490	974	0.1024	-	-	-	-	-
9.5588	975	1.0457	-	-	-	-	-
9.5686	976	0.1249	-	-	-	-	-
9.5784	977	1.8466	-	-	-	-	-
9.5882	978	0.1933	-	-	-	-	-
9.5980	979	0.3122	-	-	-	-	-
9.6078	980	1.8335	-	-	-	-	-
9.6176	981	0.3253	-	-	-	-	-
9.6275	982	0.069	-	-	-	-	-
9.6373	983	0.6156	-	-	-	-	-
9.6471	984	0.489	-	-	-	-	-
9.6569	985	0.6514	-	-	-	-	-
9.6667	986	0.2197	-	-	-	-	-
9.6765	987	0.4248	-	-	-	-	-
9.6863	988	1.4729	-	-	-	-	-
9.6961	989	0.2605	-	-	-	-	-
9.7059	990	0.0786	-	-	-	-	-
9.7157	991	0.2453	-	-	-	-	-
9.7255	992	0.7775	-	-	-	-	-
9.7353	993	0.0392	-	-	-	-	-
9.7451	994	0.0447	-	-	-	-	-
9.7549	995	0.2058	-	-	-	-	-
9.7647	996	1.8886	-	-	-	-	-
9.7745	997	0.0469	-	-	-	-	-
9.7843	998	0.7654	-	-	-	-	-
9.7941	999	0.4572	-	-	-	-	-
9.8039	1000	0.2576	-	-	-	-	-
9.8137	1001	0.1645	-	-	-	-	-
9.8235	1002	0.0466	-	-	-	-	-
9.8333	1003	0.0876	-	-	-	-	-
9.8431	1004	0.1035	-	-	-	-	-
9.8529	1005	0.0956	-	-	-	-	-
9.8627	1006	0.1782	-	-	-	-	-
9.8725	1007	0.0851	-	-	-	-	-
9.8824	1008	0.1276	-	-	-	-	-
9.8922	1009	0.1314	-	-	-	-	-
9.9020	1010	0.2475	-	-	-	-	-
9.9118	1011	0.2508	-	-	-	-	-
9.9216	1012	0.2586	-	-	-	-	-
9.9314	1013	0.1971	-	-	-	-	-
9.9412	1014	0.2402	-	-	-	-	-
9.9510	1015	0.1706	-	-	-	-	-
9.9608	1016	0.6377	-	-	-	-	-
9.9706	1017	0.4221	-	-	-	-	-
9.9804	1018	2.381	-	-	-	-	-
9.9902	1019	0.2951	-	-	-	-	-
10.0	1020	0.0307	0.5731	0.5621	0.5488	0.5153	0.4614

• 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}
}