IoannisKat1/distilbert-base-uncased-ft-new

distilbert_base_uncased Finetuned on Data

This is a sentence-transformers model finetuned from distilbert/distilbert-base-uncased. It maps sentences & paragraphs to a 768-dimensional dense vector space and can be used for semantic textual similarity, semantic search, paraphrase mining, text classification, clustering, and more.

Model Details

Model Description

• Model Type: Sentence Transformer
• Base model: distilbert/distilbert-base-uncased
• Maximum Sequence Length: 512 tokens
• Output Dimensionality: 768 dimensions
• Similarity Function: Cosine Similarity
• Language: en
• License: apache-2.0

Model Sources

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

Full Model Architecture

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

Usage

Direct Usage (Sentence Transformers)

First install the Sentence Transformers library:

pip install -U sentence-transformers

Then you can load this model and run inference.

from sentence_transformers import SentenceTransformer

# Download from the 🤗 Hub
model = SentenceTransformer("sentence_transformers_model_id")
# Run inference
sentences = [
    'What conditions must be met for a transfer of personal data to a third country or international organisation?',
    "1.In the absence of an adequacy decision pursuant to Article 45(3), or of appropriate safeguards pursuant to Article 46, including binding corporate rules, a transfer or a set of transfers of personal data to a third country or an international organisation shall take place only on one of the following conditions: (a)  the data subject has explicitly consented to the proposed transfer, after having been informed of the possible risks of such transfers for the data subject due to the absence of an adequacy decision and appropriate safeguards; (b)  the transfer is necessary for the performance of a contract between the data subject and the controller or the implementation of pre-contractual measures taken at the data subject's request; (c)  the transfer is necessary for the conclusion or performance of a contract concluded in the interest of the data subject between the controller and another natural or legal person; (d)  the transfer is necessary for important reasons of public interest; (e)  the transfer is necessary for the establishment, exercise or defence of legal claims; (f)  the transfer is necessary in order to protect the vital interests of the data subject or of other persons, where the data subject is physically or legally incapable of giving consent; (g)  the transfer is made from a register which according to Union or Member State law is intended to provide information to the public and which is open to consultation either by the public in general or by any person who can demonstrate a legitimate interest, but only to the extent that the conditions laid down by Union or Member State law for consultation are fulfilled in the particular case. Where a transfer could not be based on a provision in Article 45 or 46, including the provisions on binding corporate rules, and none of the derogations for a specific situation referred to in the first subparagraph of this paragraph is applicable, a transfer to a third country or an international organisation may take place only if the transfer is not repetitive, concerns only a limited number of data subjects, is necessary for the purposes of compelling legitimate interests pursued by the controller which are not overridden by the interests or rights and freedoms of the data subject, and the controller has assessed all the circumstances surrounding the data transfer and has on the basis of that assessment provided suitable safeguards with regard to the protection of personal data. The controller shall inform the supervisory authority of the transfer. The controller shall, in addition to providing the information referred to in Articles 13 and 14, inform the data subject of the transfer and on the compelling legitimate interests pursued.\n2.A transfer pursuant to point (g) of the first subparagraph of paragraph 1 shall not involve the entirety of the personal data or entire categories of the personal data contained in the register. Where the register is intended for consultation by persons having a legitimate interest, the transfer shall be made only at the request of those persons or if they are to be the recipients. 4.5.2016 L 119/64  \n3.Points (a), (b) and (c) of the first subparagraph of paragraph 1 and the second subparagraph thereof shall not apply to activities carried out by public authorities in the exercise of their public powers.\n4.The public interest referred to in point (d) of the first subparagraph of paragraph 1 shall be recognised in Union law or in the law of the Member State to which the controller is subject.\n5.In the absence of an adequacy decision, Union or Member State law may, for important reasons of public interest, expressly set limits to the transfer of specific categories of personal data to a third country or an international organisation. Member States shall notify such provisions to the Commission.\n6.The controller or processor shall document the assessment as well as the suitable safeguards referred to in the second subparagraph of paragraph 1 of this Article in the records referred to in Article 30.",
    '1.A transfer of personal data to a third country or an international organisation may take place where the Commission has decided that the third country, a territory or one or more specified sectors within that third country, or the international organisation in question ensures an adequate level of protection. Such a transfer shall not require any specific authorisation.\n2.When assessing the adequacy of the level of protection, the Commission shall, in particular, take account of the following elements: (a)  the rule of law, respect for human rights and fundamental freedoms, relevant legislation, both general and sectoral, including concerning public security, defence, national security and criminal law and the access of public authorities to personal data, as well as the implementation of such legislation, data protection rules, professional rules and security measures, including rules for the onward transfer of personal data to another third country or international organisation which are complied with in that country or international organisation, case-law, as well as effective and enforceable data subject rights and effective administrative and judicial redress for the data subjects whose personal data are being transferred; (b)  the existence and effective functioning of one or more independent supervisory authorities in the third country or to which an international organisation is subject, with responsibility for ensuring and enforcing compliance with the data protection rules, including adequate enforcement powers, for assisting and advising the data subjects in exercising their rights and for cooperation with the supervisory authorities of the Member States; and (c)  the international commitments the third country or international organisation concerned has entered into, or other obligations arising from legally binding conventions or instruments as well as from its participation in multilateral or regional systems, in particular in relation to the protection of personal data.\n3.The Commission, after assessing the adequacy of the level of protection, may decide, by means of implementing act, that a third country, a territory or one or more specified sectors within a third country, or an international organisation ensures an adequate level of protection within the meaning of paragraph 2 of this Article. The implementing act shall provide for a mechanism for a periodic review, at least every four years, which shall take into account all relevant developments in the third country or international organisation. The implementing act shall specify its territorial and sectoral application and, where applicable, identify the supervisory authority or authorities referred to in point (b) of paragraph 2 of this Article. The implementing act shall be adopted in accordance with the examination procedure referred to in Article 93(2).\n4.The Commission shall, on an ongoing basis, monitor developments in third countries and international organisations that could affect the functioning of decisions adopted pursuant to paragraph 3 of this Article and decisions adopted on the basis of Article 25(6) of Directive 95/46/EC.\n5.The Commission shall, where available information reveals, in particular following the review referred to in paragraph 3 of this Article, that a third country, a territory or one or more specified sectors within a third country, or an international organisation no longer ensures an adequate level of protection within the meaning of paragraph 2 of this Article, to the extent necessary, repeal, amend or suspend the decision referred to in paragraph 3 of this Article by means of implementing acts without retro-active effect. Those implementing acts shall be adopted in accordance with the examination procedure referred to in Article 93(2). On duly justified imperative grounds of urgency, the Commission shall adopt immediately applicable implementing acts in accordance with the procedure referred to in Article 93(3).\n6.The Commission shall enter into consultations with the third country or international organisation with a view to remedying the situation giving rise to the decision made pursuant to paragraph 5\n7.A decision pursuant to paragraph 5 of this Article is without prejudice to transfers of personal data to the third country, a territory or one or more specified sectors within that third country, or the international organisation in question pursuant to Articles 46 to 49\n8.The Commission shall publish in the Official Journal of the European Union and on its website a list of the third countries, territories and specified sectors within a third country and international organisations for which it has decided that an adequate level of protection is or is no longer ensured.\n9.Decisions adopted by the Commission on the basis of Article 25(6) of Directive 95/46/EC shall remain in force until amended, replaced or repealed by a Commission Decision adopted in accordance with paragraph 3 or 5 of this Article.',
]
embeddings = model.encode(sentences)
print(embeddings.shape)
# [3, 768]

# Get the similarity scores for the embeddings
similarities = model.similarity(embeddings, embeddings)
print(similarities)
# tensor([[1.0000, 0.5938, 0.2941],
#         [0.5938, 1.0000, 0.3453],
#         [0.2941, 0.3453, 1.0000]])

Evaluation

Metrics

Information Retrieval

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

  {
      "truncate_dim": 768
  }
  

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

Information Retrieval

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

  {
      "truncate_dim": 512
  }
  

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

Information Retrieval

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

  {
      "truncate_dim": 256
  }
  

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

Information Retrieval

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

  {
      "truncate_dim": 128
  }
  

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

Information Retrieval

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

  {
      "truncate_dim": 64
  }
  

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

Training Details

Training Dataset

Unnamed Dataset

• Size: 1,627 training samples
• Columns: anchor and positive
• Approximate statistics based on the first 1000 samples:

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

• Samples:

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

• Loss: MatryoshkaLoss with these parameters:

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

Training Hyperparameters

Non-Default Hyperparameters

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

All Hyperparameters

Click to expand

• overwrite_output_dir: False
• do_predict: False
• eval_strategy: epoch
• prediction_loss_only: True
• per_device_train_batch_size: 8
• per_device_eval_batch_size: 8
• per_gpu_train_batch_size: None
• per_gpu_eval_batch_size: None
• gradient_accumulation_steps: 2
• eval_accumulation_steps: None
• torch_empty_cache_steps: None
• learning_rate: 2e-05
• weight_decay: 0.0
• adam_beta1: 0.9
• adam_beta2: 0.999
• adam_epsilon: 1e-08
• max_grad_norm: 1.0
• num_train_epochs: 10
• max_steps: -1
• lr_scheduler_type: cosine
• lr_scheduler_kwargs: {}
• warmup_ratio: 0.1
• warmup_steps: 0
• log_level: passive
• log_level_replica: warning
• log_on_each_node: True
• logging_nan_inf_filter: True
• save_safetensors: True
• save_on_each_node: False
• save_only_model: False
• restore_callback_states_from_checkpoint: False
• no_cuda: False
• use_cpu: False
• use_mps_device: False
• seed: 42
• data_seed: None
• jit_mode_eval: False
• use_ipex: False
• bf16: True
• fp16: False
• fp16_opt_level: O1
• half_precision_backend: auto
• bf16_full_eval: False
• fp16_full_eval: False
• tf32: True
• local_rank: 0
• ddp_backend: None
• tpu_num_cores: None
• tpu_metrics_debug: False
• debug: []
• dataloader_drop_last: False
• dataloader_num_workers: 0
• dataloader_prefetch_factor: None
• past_index: -1
• disable_tqdm: False
• remove_unused_columns: True
• label_names: None
• load_best_model_at_end: True
• ignore_data_skip: False
• fsdp: []
• fsdp_min_num_params: 0
• fsdp_config: {'min_num_params': 0, 'xla': False, 'xla_fsdp_v2': False, 'xla_fsdp_grad_ckpt': False}
• tp_size: 0
• fsdp_transformer_layer_cls_to_wrap: None
• accelerator_config: {'split_batches': False, 'dispatch_batches': None, 'even_batches': True, 'use_seedable_sampler': True, 'non_blocking': False, 'gradient_accumulation_kwargs': None}
• deepspeed: None
• label_smoothing_factor: 0.0
• optim: adamw_torch_fused
• optim_args: None
• adafactor: False
• group_by_length: False
• length_column_name: length
• ddp_find_unused_parameters: None
• ddp_bucket_cap_mb: None
• ddp_broadcast_buffers: False
• dataloader_pin_memory: True
• dataloader_persistent_workers: False
• skip_memory_metrics: True
• use_legacy_prediction_loop: False
• push_to_hub: False
• resume_from_checkpoint: None
• hub_model_id: None
• hub_strategy: every_save
• hub_private_repo: None
• hub_always_push: False
• gradient_checkpointing: False
• gradient_checkpointing_kwargs: None
• include_inputs_for_metrics: False
• include_for_metrics: []
• eval_do_concat_batches: True
• fp16_backend: auto
• push_to_hub_model_id: None
• push_to_hub_organization: None
• mp_parameters:
• auto_find_batch_size: False
• full_determinism: False
• torchdynamo: None
• ray_scope: last
• ddp_timeout: 1800
• torch_compile: False
• torch_compile_backend: None
• torch_compile_mode: None
• include_tokens_per_second: False
• include_num_input_tokens_seen: False
• neftune_noise_alpha: None
• optim_target_modules: None
• batch_eval_metrics: False
• eval_on_start: False
• use_liger_kernel: False
• eval_use_gather_object: False
• average_tokens_across_devices: False
• prompts: None
• batch_sampler: no_duplicates
• multi_dataset_batch_sampler: proportional
• router_mapping: {}
• learning_rate_mapping: {}

Training Logs

Click to expand

Epoch	Step	Training Loss	dim_768_cosine_ndcg@10	dim_512_cosine_ndcg@10	dim_256_cosine_ndcg@10	dim_128_cosine_ndcg@10	dim_64_cosine_ndcg@10
0.0098	1	17.6764	-	-	-	-	-
0.0196	2	18.7552	-	-	-	-	-
0.0294	3	15.7571	-	-	-	-	-
0.0392	4	17.6838	-	-	-	-	-
0.0490	5	20.5906	-	-	-	-	-
0.0588	6	18.2602	-	-	-	-	-
0.0686	7	17.7364	-	-	-	-	-
0.0784	8	16.425	-	-	-	-	-
0.0882	9	16.9451	-	-	-	-	-
0.0980	10	15.8001	-	-	-	-	-
0.1078	11	17.367	-	-	-	-	-
0.1176	12	17.7703	-	-	-	-	-
0.1275	13	16.1184	-	-	-	-	-
0.1373	14	16.6469	-	-	-	-	-
0.1471	15	14.8151	-	-	-	-	-
0.1569	16	15.8066	-	-	-	-	-
0.1667	17	15.0318	-	-	-	-	-
0.1765	18	15.0699	-	-	-	-	-
0.1863	19	14.2376	-	-	-	-	-
0.1961	20	16.4842	-	-	-	-	-
0.2059	21	15.7979	-	-	-	-	-
0.2157	22	16.7384	-	-	-	-	-
0.2255	23	11.6569	-	-	-	-	-
0.2353	24	11.5312	-	-	-	-	-
0.2451	25	12.5616	-	-	-	-	-
0.2549	26	13.7859	-	-	-	-	-
0.2647	27	11.9381	-	-	-	-	-
0.2745	28	15.5073	-	-	-	-	-
0.2843	29	14.6694	-	-	-	-	-
0.2941	30	13.316	-	-	-	-	-
0.3039	31	11.7586	-	-	-	-	-
0.3137	32	11.8353	-	-	-	-	-
0.3235	33	11.5443	-	-	-	-	-
0.3333	34	11.8217	-	-	-	-	-
0.3431	35	12.707	-	-	-	-	-
0.3529	36	12.8745	-	-	-	-	-
0.3627	37	10.2505	-	-	-	-	-
0.3725	38	8.6446	-	-	-	-	-
0.3824	39	12.6514	-	-	-	-	-
0.3922	40	13.528	-	-	-	-	-
0.4020	41	11.375	-	-	-	-	-
0.4118	42	11.8437	-	-	-	-	-
0.4216	43	7.1407	-	-	-	-	-
0.4314	44	13.3296	-	-	-	-	-
0.4412	45	8.8968	-	-	-	-	-
0.4510	46	11.6272	-	-	-	-	-
0.4608	47	9.4872	-	-	-	-	-
0.4706	48	8.2567	-	-	-	-	-
0.4804	49	15.4531	-	-	-	-	-
0.4902	50	7.1768	-	-	-	-	-
0.5	51	11.2968	-	-	-	-	-
0.5098	52	14.0241	-	-	-	-	-
0.5196	53	10.9928	-	-	-	-	-
0.5294	54	11.04	-	-	-	-	-
0.5392	55	7.5271	-	-	-	-	-
0.5490	56	13.6009	-	-	-	-	-
0.5588	57	7.2069	-	-	-	-	-
0.5686	58	5.8509	-	-	-	-	-
0.5784	59	5.2413	-	-	-	-	-
0.5882	60	10.0671	-	-	-	-	-
0.5980	61	10.5692	-	-	-	-	-
0.6078	62	7.2468	-	-	-	-	-
0.6176	63	8.0536	-	-	-	-	-
0.6275	64	10.7837	-	-	-	-	-
0.6373	65	9.1267	-	-	-	-	-
0.6471	66	7.8949	-	-	-	-	-
0.6569	67	6.821	-	-	-	-	-
0.6667	68	7.5105	-	-	-	-	-
0.6765	69	4.2704	-	-	-	-	-
0.6863	70	7.6476	-	-	-	-	-
0.6961	71	6.4674	-	-	-	-	-
0.7059	72	7.9905	-	-	-	-	-
0.7157	73	13.5129	-	-	-	-	-
0.7255	74	6.5935	-	-	-	-	-
0.7353	75	9.9373	-	-	-	-	-
0.7451	76	10.1976	-	-	-	-	-
0.7549	77	11.7469	-	-	-	-	-
0.7647	78	8.1078	-	-	-	-	-
0.7745	79	8.3073	-	-	-	-	-
0.7843	80	8.7917	-	-	-	-	-
0.7941	81	6.416	-	-	-	-	-
0.8039	82	9.1483	-	-	-	-	-
0.8137	83	8.3476	-	-	-	-	-
0.8235	84	7.4461	-	-	-	-	-
0.8333	85	6.6645	-	-	-	-	-
0.8431	86	9.525	-	-	-	-	-
0.8529	87	5.0447	-	-	-	-	-
0.8627	88	5.9187	-	-	-	-	-
0.8725	89	9.0868	-	-	-	-	-
0.8824	90	6.8393	-	-	-	-	-
0.8922	91	4.8473	-	-	-	-	-
0.9020	92	8.5653	-	-	-	-	-
0.9118	93	5.1863	-	-	-	-	-
0.9216	94	8.5543	-	-	-	-	-
0.9314	95	8.7473	-	-	-	-	-
0.9412	96	9.6507	-	-	-	-	-
0.9510	97	7.1744	-	-	-	-	-
0.9608	98	8.8476	-	-	-	-	-
0.9706	99	9.6835	-	-	-	-	-
0.9804	100	12.0148	-	-	-	-	-
0.9902	101	6.6784	-	-	-	-	-
1.0	102	3.0537	0.3119	0.2864	0.3096	0.2929	0.2458
1.0098	103	6.7409	-	-	-	-	-
1.0196	104	6.2104	-	-	-	-	-
1.0294	105	10.2444	-	-	-	-	-
1.0392	106	6.5551	-	-	-	-	-
1.0490	107	8.8202	-	-	-	-	-
1.0588	108	6.1798	-	-	-	-	-
1.0686	109	5.4281	-	-	-	-	-
1.0784	110	6.7202	-	-	-	-	-
1.0882	111	2.7993	-	-	-	-	-
1.0980	112	3.8981	-	-	-	-	-
1.1078	113	6.7209	-	-	-	-	-
1.1176	114	6.9824	-	-	-	-	-
1.1275	115	3.9592	-	-	-	-	-
1.1373	116	8.6279	-	-	-	-	-
1.1471	117	3.7862	-	-	-	-	-
1.1569	118	8.6419	-	-	-	-	-
1.1667	119	6.2141	-	-	-	-	-
1.1765	120	10.6976	-	-	-	-	-
1.1863	121	6.0075	-	-	-	-	-
1.1961	122	5.1543	-	-	-	-	-
1.2059	123	8.3706	-	-	-	-	-
1.2157	124	11.0081	-	-	-	-	-
1.2255	125	4.2895	-	-	-	-	-
1.2353	126	6.4055	-	-	-	-	-
1.2451	127	6.6852	-	-	-	-	-
1.2549	128	5.0547	-	-	-	-	-
1.2647	129	2.9134	-	-	-	-	-
1.2745	130	7.0408	-	-	-	-	-
1.2843	131	7.5438	-	-	-	-	-
1.2941	132	6.6101	-	-	-	-	-
1.3039	133	6.931	-	-	-	-	-
1.3137	134	5.9556	-	-	-	-	-
1.3235	135	7.1276	-	-	-	-	-
1.3333	136	7.7639	-	-	-	-	-
1.3431	137	3.3024	-	-	-	-	-
1.3529	138	4.1589	-	-	-	-	-
1.3627	139	2.5888	-	-	-	-	-
1.3725	140	3.9834	-	-	-	-	-
1.3824	141	4.7761	-	-	-	-	-
1.3922	142	6.3624	-	-	-	-	-
1.4020	143	5.543	-	-	-	-	-
1.4118	144	5.895	-	-	-	-	-
1.4216	145	2.7816	-	-	-	-	-
1.4314	146	9.3215	-	-	-	-	-
1.4412	147	6.9712	-	-	-	-	-
1.4510	148	2.3775	-	-	-	-	-
1.4608	149	7.2748	-	-	-	-	-
1.4706	150	5.1214	-	-	-	-	-
1.4804	151	4.4235	-	-	-	-	-
1.4902	152	5.8864	-	-	-	-	-
1.5	153	6.1944	-	-	-	-	-
1.5098	154	7.0965	-	-	-	-	-
1.5196	155	3.3964	-	-	-	-	-
1.5294	156	6.5385	-	-	-	-	-
1.5392	157	4.9398	-	-	-	-	-
1.5490	158	4.8754	-	-	-	-	-
1.5588	159	5.0117	-	-	-	-	-
1.5686	160	3.8073	-	-	-	-	-
1.5784	161	4.4464	-	-	-	-	-
1.5882	162	3.1841	-	-	-	-	-
1.5980	163	2.2593	-	-	-	-	-
1.6078	164	4.5786	-	-	-	-	-
1.6176	165	6.9131	-	-	-	-	-
1.6275	166	1.8312	-	-	-	-	-
1.6373	167	8.2049	-	-	-	-	-
1.6471	168	5.6902	-	-	-	-	-
1.6569	169	4.9242	-	-	-	-	-
1.6667	170	7.838	-	-	-	-	-
1.6765	171	2.5993	-	-	-	-	-
1.6863	172	8.223	-	-	-	-	-
1.6961	173	4.8582	-	-	-	-	-
1.7059	174	5.2368	-	-	-	-	-
1.7157	175	6.6681	-	-	-	-	-
1.7255	176	7.1537	-	-	-	-	-
1.7353	177	6.8843	-	-	-	-	-
1.7451	178	6.5373	-	-	-	-	-
1.7549	179	4.1607	-	-	-	-	-
1.7647	180	7.9075	-	-	-	-	-
1.7745	181	6.6555	-	-	-	-	-
1.7843	182	8.1749	-	-	-	-	-
1.7941	183	3.2798	-	-	-	-	-
1.8039	184	4.4922	-	-	-	-	-
1.8137	185	4.3681	-	-	-	-	-
1.8235	186	7.1756	-	-	-	-	-
1.8333	187	9.8068	-	-	-	-	-
1.8431	188	6.6329	-	-	-	-	-
1.8529	189	3.952	-	-	-	-	-
1.8627	190	3.937	-	-	-	-	-
1.8725	191	3.3723	-	-	-	-	-
1.8824	192	8.3868	-	-	-	-	-
1.8922	193	3.8313	-	-	-	-	-
1.9020	194	9.1588	-	-	-	-	-
1.9118	195	6.5268	-	-	-	-	-
1.9216	196	5.1561	-	-	-	-	-
1.9314	197	3.9581	-	-	-	-	-
1.9412	198	4.4332	-	-	-	-	-
1.9510	199	1.8641	-	-	-	-	-
1.9608	200	7.158	-	-	-	-	-
1.9706	201	4.0545	-	-	-	-	-
1.9804	202	8.031	-	-	-	-	-
1.9902	203	5.3564	-	-	-	-	-
2.0	204	1.4331	0.3956	0.3780	0.3699	0.3465	0.3029
2.0098	205	1.6628	-	-	-	-	-
2.0196	206	1.3312	-	-	-	-	-
2.0294	207	5.3487	-	-	-	-	-
2.0392	208	3.3566	-	-	-	-	-
2.0490	209	4.3938	-	-	-	-	-
2.0588	210	0.783	-	-	-	-	-
2.0686	211	3.7484	-	-	-	-	-
2.0784	212	1.1786	-	-	-	-	-
2.0882	213	4.6037	-	-	-	-	-
2.0980	214	5.0894	-	-	-	-	-
2.1078	215	2.5686	-	-	-	-	-
2.1176	216	4.8807	-	-	-	-	-
2.1275	217	1.5026	-	-	-	-	-
2.1373	218	2.8906	-	-	-	-	-
2.1471	219	3.9495	-	-	-	-	-
2.1569	220	4.0842	-	-	-	-	-
2.1667	221	2.4274	-	-	-	-	-
2.1765	222	3.4466	-	-	-	-	-
2.1863	223	4.6523	-	-	-	-	-
2.1961	224	4.1501	-	-	-	-	-
2.2059	225	3.8173	-	-	-	-	-
2.2157	226	2.0431	-	-	-	-	-
2.2255	227	7.0154	-	-	-	-	-
2.2353	228	4.8075	-	-	-	-	-
2.2451	229	2.2587	-	-	-	-	-
2.2549	230	4.4399	-	-	-	-	-
2.2647	231	3.2537	-	-	-	-	-
2.2745	232	2.4063	-	-	-	-	-
2.2843	233	2.911	-	-	-	-	-
2.2941	234	3.1982	-	-	-	-	-
2.3039	235	1.7178	-	-	-	-	-
2.3137	236	3.4933	-	-	-	-	-
2.3235	237	1.803	-	-	-	-	-
2.3333	238	2.6993	-	-	-	-	-
2.3431	239	2.2605	-	-	-	-	-
2.3529	240	4.8734	-	-	-	-	-
2.3627	241	2.4407	-	-	-	-	-
2.3725	242	1.8339	-	-	-	-	-
2.3824	243	2.1039	-	-	-	-	-
2.3922	244	3.4484	-	-	-	-	-
2.4020	245	4.2985	-	-	-	-	-
2.4118	246	2.5501	-	-	-	-	-
2.4216	247	2.9653	-	-	-	-	-
2.4314	248	4.9762	-	-	-	-	-
2.4412	249	2.3857	-	-	-	-	-
2.4510	250	4.2003	-	-	-	-	-
2.4608	251	2.0233	-	-	-	-	-
2.4706	252	2.4927	-	-	-	-	-
2.4804	253	4.2619	-	-	-	-	-
2.4902	254	5.112	-	-	-	-	-
2.5	255	3.2612	-	-	-	-	-
2.5098	256	3.6784	-	-	-	-	-
2.5196	257	3.5273	-	-	-	-	-
2.5294	258	0.5713	-	-	-	-	-
2.5392	259	3.2269	-	-	-	-	-
2.5490	260	2.091	-	-	-	-	-
2.5588	261	1.6746	-	-	-	-	-
2.5686	262	2.9194	-	-	-	-	-
2.5784	263	3.8363	-	-	-	-	-
2.5882	264	5.7385	-	-	-	-	-
2.5980	265	3.2055	-	-	-	-	-
2.6078	266	1.9638	-	-	-	-	-
2.6176	267	3.4731	-	-	-	-	-
2.6275	268	3.9062	-	-	-	-	-
2.6373	269	4.2224	-	-	-	-	-
2.6471	270	3.5329	-	-	-	-	-
2.6569	271	2.8717	-	-	-	-	-
2.6667	272	2.336	-	-	-	-	-
2.6765	273	1.9833	-	-	-	-	-
2.6863	274	3.8414	-	-	-	-	-
2.6961	275	3.2319	-	-	-	-	-
2.7059	276	3.9453	-	-	-	-	-
2.7157	277	6.3842	-	-	-	-	-
2.7255	278	1.9916	-	-	-	-	-
2.7353	279	3.2109	-	-	-	-	-
2.7451	280	2.1067	-	-	-	-	-
2.7549	281	6.1748	-	-	-	-	-
2.7647	282	4.4581	-	-	-	-	-
2.7745	283	3.4914	-	-	-	-	-
2.7843	284	4.9185	-	-	-	-	-
2.7941	285	4.5442	-	-	-	-	-
2.8039	286	4.0544	-	-	-	-	-
2.8137	287	7.6637	-	-	-	-	-
2.8235	288	2.0092	-	-	-	-	-
2.8333	289	6.7138	-	-	-	-	-
2.8431	290	5.6844	-	-	-	-	-
2.8529	291	4.7221	-	-	-	-	-
2.8627	292	1.9449	-	-	-	-	-
2.8725	293	1.4523	-	-	-	-	-
2.8824	294	3.241	-	-	-	-	-
2.8922	295	3.671	-	-	-	-	-
2.9020	296	1.7239	-	-	-	-	-
2.9118	297	2.4093	-	-	-	-	-
2.9216	298	4.0036	-	-	-	-	-
2.9314	299	4.7599	-	-	-	-	-
2.9412	300	3.0368	-	-	-	-	-
2.9510	301	1.8509	-	-	-	-	-
2.9608	302	3.1859	-	-	-	-	-
2.9706	303	2.1558	-	-	-	-	-
2.9804	304	3.7769	-	-	-	-	-
2.9902	305	4.4031	-	-	-	-	-
3.0	306	4.7627	0.4030	0.4015	0.3919	0.3564	0.3368
3.0098	307	1.2367	-	-	-	-	-
3.0196	308	6.3136	-	-	-	-	-
3.0294	309	2.0142	-	-	-	-	-
3.0392	310	3.1985	-	-	-	-	-
3.0490	311	0.989	-	-	-	-	-
3.0588	312	1.7043	-	-	-	-	-
3.0686	313	1.7724	-	-	-	-	-
3.0784	314	1.5409	-	-	-	-	-
3.0882	315	1.8318	-	-	-	-	-
3.0980	316	0.7304	-	-	-	-	-
3.1078	317	0.9991	-	-	-	-	-
3.1176	318	2.8774	-	-	-	-	-
3.1275	319	2.748	-	-	-	-	-
3.1373	320	1.4408	-	-	-	-	-
3.1471	321	1.7546	-	-	-	-	-
3.1569	322	1.4541	-	-	-	-	-
3.1667	323	4.234	-	-	-	-	-
3.1765	324	1.8155	-	-	-	-	-
3.1863	325	1.9923	-	-	-	-	-
3.1961	326	3.1031	-	-	-	-	-
3.2059	327	2.1279	-	-	-	-	-
3.2157	328	2.3636	-	-	-	-	-
3.2255	329	2.6683	-	-	-	-	-
3.2353	330	2.1672	-	-	-	-	-
3.2451	331	3.3377	-	-	-	-	-
3.2549	332	5.2582	-	-	-	-	-
3.2647	333	1.3004	-	-	-	-	-
3.2745	334	0.7484	-	-	-	-	-
3.2843	335	2.3675	-	-	-	-	-
3.2941	336	3.2489	-	-	-	-	-
3.3039	337	2.1382	-	-	-	-	-
3.3137	338	0.5937	-	-	-	-	-
3.3235	339	3.1669	-	-	-	-	-
3.3333	340	4.9559	-	-	-	-	-
3.3431	341	3.5331	-	-	-	-	-
3.3529	342	4.2609	-	-	-	-	-
3.3627	343	3.9297	-	-	-	-	-
3.3725	344	1.6645	-	-	-	-	-
3.3824	345	3.5625	-	-	-	-	-
3.3922	346	1.6451	-	-	-	-	-
3.4020	347	1.0945	-	-	-	-	-
3.4118	348	1.2777	-	-	-	-	-
3.4216	349	2.5434	-	-	-	-	-
3.4314	350	2.1898	-	-	-	-	-
3.4412	351	3.4225	-	-	-	-	-
3.4510	352	1.3285	-	-	-	-	-
3.4608	353	2.1739	-	-	-	-	-
3.4706	354	2.9034	-	-	-	-	-
3.4804	355	0.9334	-	-	-	-	-
3.4902	356	0.9282	-	-	-	-	-
3.5	357	4.2909	-	-	-	-	-
3.5098	358	2.3011	-	-	-	-	-
3.5196	359	0.6001	-	-	-	-	-
3.5294	360	3.7029	-	-	-	-	-
3.5392	361	0.8935	-	-	-	-	-
3.5490	362	1.8518	-	-	-	-	-
3.5588	363	2.033	-	-	-	-	-
3.5686	364	0.9592	-	-	-	-	-
3.5784	365	3.4093	-	-	-	-	-
3.5882	366	2.2692	-	-	-	-	-
3.5980	367	3.9	-	-	-	-	-
3.6078	368	2.3899	-	-	-	-	-
3.6176	369	0.6227	-	-	-	-	-
3.6275	370	2.8566	-	-	-	-	-
3.6373	371	3.0672	-	-	-	-	-
3.6471	372	3.8022	-	-	-	-	-
3.6569	373	3.4151	-	-	-	-	-
3.6667	374	0.8735	-	-	-	-	-
3.6765	375	0.8667	-	-	-	-	-
3.6863	376	0.4935	-	-	-	-	-
3.6961	377	3.9096	-	-	-	-	-
3.7059	378	1.5327	-	-	-	-	-
3.7157	379	5.2341	-	-	-	-	-
3.7255	380	0.3925	-	-	-	-	-
3.7353	381	2.4613	-	-	-	-	-
3.7451	382	0.6242	-	-	-	-	-
3.7549	383	2.0609	-	-	-	-	-
3.7647	384	2.8853	-	-	-	-	-
3.7745	385	2.2404	-	-	-	-	-
3.7843	386	1.5206	-	-	-	-	-
3.7941	387	3.1303	-	-	-	-	-
3.8039	388	4.8535	-	-	-	-	-
3.8137	389	1.6398	-	-	-	-	-
3.8235	390	0.5408	-	-	-	-	-
3.8333	391	2.8171	-	-	-	-	-
3.8431	392	1.4056	-	-	-	-	-
3.8529	393	5.0842	-	-	-	-	-
3.8627	394	2.287	-	-	-	-	-
3.8725	395	3.4401	-	-	-	-	-
3.8824	396	5.2915	-	-	-	-	-
3.8922	397	0.2864	-	-	-	-	-
3.9020	398	0.5698	-	-	-	-	-
3.9118	399	2.8378	-	-	-	-	-
3.9216	400	6.7461	-	-	-	-	-
3.9314	401	0.9204	-	-	-	-	-
3.9412	402	3.0113	-	-	-	-	-
3.9510	403	0.4371	-	-	-	-	-
3.9608	404	2.6168	-	-	-	-	-
3.9706	405	3.1233	-	-	-	-	-
3.9804	406	4.416	-	-	-	-	-
3.9902	407	0.7619	-	-	-	-	-
4.0	408	1.9747	0.4185	0.4055	0.4084	0.3859	0.3542
4.0098	409	0.7847	-	-	-	-	-
4.0196	410	1.5228	-	-	-	-	-
4.0294	411	0.8806	-	-	-	-	-
4.0392	412	2.1526	-	-	-	-	-
4.0490	413	1.232	-	-	-	-	-
4.0588	414	1.8548	-	-	-	-	-
4.0686	415	2.1298	-	-	-	-	-
4.0784	416	1.6375	-	-	-	-	-
4.0882	417	2.3323	-	-	-	-	-
4.0980	418	0.5819	-	-	-	-	-
4.1078	419	1.768	-	-	-	-	-
4.1176	420	2.1872	-	-	-	-	-
4.1275	421	3.5688	-	-	-	-	-
4.1373	422	0.8193	-	-	-	-	-
4.1471	423	2.2225	-	-	-	-	-
4.1569	424	1.0193	-	-	-	-	-
4.1667	425	1.0231	-	-	-	-	-
4.1765	426	1.7803	-	-	-	-	-
4.1863	427	2.6119	-	-	-	-	-
4.1961	428	4.1441	-	-	-	-	-
4.2059	429	2.1851	-	-	-	-	-
4.2157	430	0.6313	-	-	-	-	-
4.2255	431	0.7273	-	-	-	-	-
4.2353	432	0.5221	-	-	-	-	-
4.2451	433	0.7089	-	-	-	-	-
4.2549	434	2.2255	-	-	-	-	-
4.2647	435	0.8201	-	-	-	-	-
4.2745	436	0.268	-	-	-	-	-
4.2843	437	3.059	-	-	-	-	-
4.2941	438	1.1647	-	-	-	-	-
4.3039	439	0.6611	-	-	-	-	-
4.3137	440	0.4375	-	-	-	-	-
4.3235	441	0.5028	-	-	-	-	-
4.3333	442	1.5867	-	-	-	-	-
4.3431	443	0.9583	-	-	-	-	-
4.3529	444	1.4335	-	-	-	-	-
4.3627	445	2.0598	-	-	-	-	-
4.3725	446	2.0874	-	-	-	-	-
4.3824	447	0.6914	-	-	-	-	-
4.3922	448	1.7489	-	-	-	-	-
4.4020	449	0.8039	-	-	-	-	-
4.4118	450	2.8524	-	-	-	-	-
4.4216	451	1.0482	-	-	-	-	-
4.4314	452	2.0307	-	-	-	-	-
4.4412	453	0.4269	-	-	-	-	-
4.4510	454	3.0094	-	-	-	-	-
4.4608	455	1.9198	-	-	-	-	-
4.4706	456	1.7352	-	-	-	-	-
4.4804	457	2.8351	-	-	-	-	-
4.4902	458	4.92	-	-	-	-	-
4.5	459	1.3255	-	-	-	-	-
4.5098	460	3.2656	-	-	-	-	-
4.5196	461	1.7202	-	-	-	-	-
4.5294	462	2.8644	-	-	-	-	-
4.5392	463	2.556	-	-	-	-	-
4.5490	464	0.9408	-	-	-	-	-
4.5588	465	0.5922	-	-	-	-	-
4.5686	466	0.7249	-	-	-	-	-
4.5784	467	3.2635	-	-	-	-	-
4.5882	468	0.4393	-	-	-	-	-
4.5980	469	3.6834	-	-	-	-	-
4.6078	470	0.7779	-	-	-	-	-
4.6176	471	1.2985	-	-	-	-	-
4.6275	472	0.2688	-	-	-	-	-
4.6373	473	0.9378	-	-	-	-	-
4.6471	474	0.4366	-	-	-	-	-
4.6569	475	1.3417	-	-	-	-	-
4.6667	476	0.8489	-	-	-	-	-
4.6765	477	2.7182	-	-	-	-	-
4.6863	478	0.7028	-	-	-	-	-
4.6961	479	0.524	-	-	-	-	-
4.7059	480	0.6689	-	-	-	-	-
4.7157	481	4.9997	-	-	-	-	-
4.7255	482	0.3552	-	-	-	-	-
4.7353	483	2.2703	-	-	-	-	-
4.7451	484	2.1915	-	-	-	-	-
4.7549	485	4.2093	-	-	-	-	-
4.7647	486	0.763	-	-	-	-	-
4.7745	487	4.3978	-	-	-	-	-
4.7843	488	2.024	-	-	-	-	-
4.7941	489	1.205	-	-	-	-	-
4.8039	490	3.9364	-	-	-	-	-
4.8137	491	5.6897	-	-	-	-	-
4.8235	492	1.7027	-	-	-	-	-
4.8333	493	2.1034	-	-	-	-	-
4.8431	494	1.6309	-	-	-	-	-
4.8529	495	1.8332	-	-	-	-	-
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4.8725	497	2.7381	-	-	-	-	-
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4.8922	499	2.6666	-	-	-	-	-
4.9020	500	1.5566	-	-	-	-	-
4.9118	501	1.6358	-	-	-	-	-
4.9216	502	3.6472	-	-	-	-	-
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4.9412	504	4.8411	-	-	-	-	-
4.9510	505	1.2123	-	-	-	-	-
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4.9706	507	0.1666	-	-	-	-	-
4.9804	508	0.7794	-	-	-	-	-
4.9902	509	3.8537	-	-	-	-	-
5.0	510	1.727	0.4277	0.4018	0.4103	0.3828	0.3618
5.0098	511	0.6129	-	-	-	-	-
5.0196	512	0.6924	-	-	-	-	-
5.0294	513	0.2694	-	-	-	-	-
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5.0490	515	3.1648	-	-	-	-	-
5.0588	516	2.9953	-	-	-	-	-
5.0686	517	0.636	-	-	-	-	-
5.0784	518	0.422	-	-	-	-	-
5.0882	519	0.4336	-	-	-	-	-
5.0980	520	2.7025	-	-	-	-	-
5.1078	521	3.897	-	-	-	-	-
5.1176	522	0.287	-	-	-	-	-
5.1275	523	2.4604	-	-	-	-	-
5.1373	524	0.7686	-	-	-	-	-
5.1471	525	0.5623	-	-	-	-	-
5.1569	526	1.3374	-	-	-	-	-
5.1667	527	0.384	-	-	-	-	-
5.1765	528	0.3413	-	-	-	-	-
5.1863	529	0.44	-	-	-	-	-
5.1961	530	0.9555	-	-	-	-	-
5.2059	531	1.8427	-	-	-	-	-
5.2157	532	1.0247	-	-	-	-	-
5.2255	533	0.092	-	-	-	-	-
5.2353	534	1.2982	-	-	-	-	-
5.2451	535	3.2859	-	-	-	-	-
5.2549	536	1.946	-	-	-	-	-
5.2647	537	2.0706	-	-	-	-	-
5.2745	538	0.9946	-	-	-	-	-
5.2843	539	1.222	-	-	-	-	-
5.2941	540	1.4977	-	-	-	-	-
5.3039	541	0.7965	-	-	-	-	-
5.3137	542	0.5958	-	-	-	-	-
5.3235	543	0.325	-	-	-	-	-
5.3333	544	0.9241	-	-	-	-	-
5.3431	545	0.4865	-	-	-	-	-
5.3529	546	0.3382	-	-	-	-	-
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5.3725	548	0.5953	-	-	-	-	-
5.3824	549	0.8654	-	-	-	-	-
5.3922	550	0.6414	-	-	-	-	-
5.4020	551	1.6447	-	-	-	-	-
5.4118	552	1.8681	-	-	-	-	-
5.4216	553	0.3286	-	-	-	-	-
5.4314	554	1.086	-	-	-	-	-
5.4412	555	0.2627	-	-	-	-	-
5.4510	556	1.1866	-	-	-	-	-
5.4608	557	0.2962	-	-	-	-	-
5.4706	558	1.5424	-	-	-	-	-
5.4804	559	2.6296	-	-	-	-	-
5.4902	560	3.3635	-	-	-	-	-
5.5	561	0.4501	-	-	-	-	-
5.5098	562	3.9317	-	-	-	-	-
5.5196	563	0.9076	-	-	-	-	-
5.5294	564	2.4479	-	-	-	-	-
5.5392	565	1.2163	-	-	-	-	-
5.5490	566	1.824	-	-	-	-	-
5.5588	567	2.8104	-	-	-	-	-
5.5686	568	1.8581	-	-	-	-	-
5.5784	569	3.924	-	-	-	-	-
5.5882	570	3.1934	-	-	-	-	-
5.5980	571	0.8057	-	-	-	-	-
5.6078	572	3.226	-	-	-	-	-
5.6176	573	0.7339	-	-	-	-	-
5.6275	574	3.1157	-	-	-	-	-
5.6373	575	0.8015	-	-	-	-	-
5.6471	576	2.6488	-	-	-	-	-
5.6569	577	0.5687	-	-	-	-	-
5.6667	578	1.6829	-	-	-	-	-
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5.6961	581	0.0636	-	-	-	-	-
5.7059	582	0.7494	-	-	-	-	-
5.7157	583	1.5672	-	-	-	-	-
5.7255	584	2.092	-	-	-	-	-
5.7353	585	1.5072	-	-	-	-	-
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5.7549	587	1.4648	-	-	-	-	-
5.7647	588	1.7745	-	-	-	-	-
5.7745	589	6.2119	-	-	-	-	-
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5.7941	591	0.959	-	-	-	-	-
5.8039	592	1.054	-	-	-	-	-
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5.8431	596	2.4053	-	-	-	-	-
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5.8824	600	0.9767	-	-	-	-	-
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5.9020	602	0.8929	-	-	-	-	-
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5.9216	604	0.9578	-	-	-	-	-
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5.9510	607	2.761	-	-	-	-	-
5.9608	608	1.0443	-	-	-	-	-
5.9706	609	0.5163	-	-	-	-	-
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5.9902	611	3.3557	-	-	-	-	-
6.0	612	0.8804	0.4337	0.4124	0.4062	0.3723	0.3504
6.0098	613	3.0174	-	-	-	-	-
6.0196	614	1.4742	-	-	-	-	-
6.0294	615	2.1343	-	-	-	-	-
6.0392	616	0.9879	-	-	-	-	-
6.0490	617	0.4341	-	-	-	-	-
6.0588	618	1.9498	-	-	-	-	-
6.0686	619	0.8164	-	-	-	-	-
6.0784	620	0.9137	-	-	-	-	-
6.0882	621	0.1987	-	-	-	-	-
6.0980	622	1.5663	-	-	-	-	-
6.1078	623	0.3626	-	-	-	-	-
6.1176	624	1.5479	-	-	-	-	-
6.1275	625	0.2408	-	-	-	-	-
6.1373	626	0.6135	-	-	-	-	-
6.1471	627	0.7962	-	-	-	-	-
6.1569	628	0.8391	-	-	-	-	-
6.1667	629	1.7284	-	-	-	-	-
6.1765	630	1.0251	-	-	-	-	-
6.1863	631	0.2121	-	-	-	-	-
6.1961	632	1.2146	-	-	-	-	-
6.2059	633	1.7254	-	-	-	-	-
6.2157	634	1.2436	-	-	-	-	-
6.2255	635	3.5633	-	-	-	-	-
6.2353	636	0.2066	-	-	-	-	-
6.2451	637	0.4385	-	-	-	-	-
6.2549	638	1.1002	-	-	-	-	-
6.2647	639	0.373	-	-	-	-	-
6.2745	640	0.5873	-	-	-	-	-
6.2843	641	0.5348	-	-	-	-	-
6.2941	642	0.3945	-	-	-	-	-
6.3039	643	1.7074	-	-	-	-	-
6.3137	644	0.2465	-	-	-	-	-
6.3235	645	0.4574	-	-	-	-	-
6.3333	646	0.5762	-	-	-	-	-
6.3431	647	2.0706	-	-	-	-	-
6.3529	648	1.2757	-	-	-	-	-
6.3627	649	0.4981	-	-	-	-	-
6.3725	650	0.5754	-	-	-	-	-
6.3824	651	0.3183	-	-	-	-	-
6.3922	652	0.4445	-	-	-	-	-
6.4020	653	1.4656	-	-	-	-	-
6.4118	654	0.3318	-	-	-	-	-
6.4216	655	0.2233	-	-	-	-	-
6.4314	656	1.2292	-	-	-	-	-
6.4412	657	0.2528	-	-	-	-	-
6.4510	658	0.353	-	-	-	-	-
6.4608	659	1.1722	-	-	-	-	-
6.4706	660	1.2787	-	-	-	-	-
6.4804	661	2.7252	-	-	-	-	-
6.4902	662	0.1997	-	-	-	-	-
6.5	663	0.4028	-	-	-	-	-
6.5098	664	0.4996	-	-	-	-	-
6.5196	665	0.1909	-	-	-	-	-
6.5294	666	2.1332	-	-	-	-	-
6.5392	667	0.1787	-	-	-	-	-
6.5490	668	1.1522	-	-	-	-	-
6.5588	669	0.8554	-	-	-	-	-
6.5686	670	0.6754	-	-	-	-	-
6.5784	671	0.7634	-	-	-	-	-
6.5882	672	0.9662	-	-	-	-	-
6.5980	673	0.4862	-	-	-	-	-
6.6078	674	0.5637	-	-	-	-	-
6.6176	675	2.2818	-	-	-	-	-
6.6275	676	0.3255	-	-	-	-	-
6.6373	677	3.9726	-	-	-	-	-
6.6471	678	4.33	-	-	-	-	-
6.6569	679	0.6381	-	-	-	-	-
6.6667	680	0.3235	-	-	-	-	-
6.6765	681	0.6907	-	-	-	-	-
6.6863	682	0.3631	-	-	-	-	-
6.6961	683	0.4557	-	-	-	-	-
6.7059	684	2.2332	-	-	-	-	-
6.7157	685	0.9337	-	-	-	-	-
6.7255	686	2.5006	-	-	-	-	-
6.7353	687	0.824	-	-	-	-	-
6.7451	688	2.312	-	-	-	-	-
6.7549	689	0.9176	-	-	-	-	-
6.7647	690	1.3666	-	-	-	-	-
6.7745	691	1.0181	-	-	-	-	-
6.7843	692	0.3358	-	-	-	-	-
6.7941	693	1.892	-	-	-	-	-
6.8039	694	1.9833	-	-	-	-	-
6.8137	695	0.1436	-	-	-	-	-
6.8235	696	0.7298	-	-	-	-	-
6.8333	697	0.152	-	-	-	-	-
6.8431	698	2.0783	-	-	-	-	-
6.8529	699	1.9432	-	-	-	-	-
6.8627	700	3.7538	-	-	-	-	-
6.8725	701	2.5031	-	-	-	-	-
6.8824	702	0.7426	-	-	-	-	-
6.8922	703	1.1758	-	-	-	-	-
6.9020	704	0.2153	-	-	-	-	-
6.9118	705	0.7025	-	-	-	-	-
6.9216	706	1.9396	-	-	-	-	-
6.9314	707	0.9414	-	-	-	-	-
6.9412	708	0.4612	-	-	-	-	-
6.9510	709	2.9472	-	-	-	-	-
6.9608	710	0.6485	-	-	-	-	-
6.9706	711	1.4832	-	-	-	-	-
6.9804	712	0.6843	-	-	-	-	-
6.9902	713	0.6296	-	-	-	-	-
7.0	714	0.0905	0.4253	0.4106	0.4124	0.3880	0.3615
7.0098	715	1.629	-	-	-	-	-
7.0196	716	0.4315	-	-	-	-	-
7.0294	717	1.324	-	-	-	-	-
7.0392	718	0.1718	-	-	-	-	-
7.0490	719	1.9017	-	-	-	-	-
7.0588	720	0.2713	-	-	-	-	-
7.0686	721	0.1231	-	-	-	-	-
7.0784	722	1.1257	-	-	-	-	-
7.0882	723	0.2388	-	-	-	-	-
7.0980	724	0.7421	-	-	-	-	-
7.1078	725	0.6206	-	-	-	-	-
7.1176	726	0.7635	-	-	-	-	-
7.1275	727	0.3686	-	-	-	-	-
7.1373	728	3.2109	-	-	-	-	-
7.1471	729	1.0249	-	-	-	-	-
7.1569	730	0.6149	-	-	-	-	-
7.1667	731	1.14	-	-	-	-	-
7.1765	732	1.4916	-	-	-	-	-
7.1863	733	0.383	-	-	-	-	-
7.1961	734	1.871	-	-	-	-	-
7.2059	735	0.1359	-	-	-	-	-
7.2157	736	1.2666	-	-	-	-	-
7.2255	737	0.2156	-	-	-	-	-
7.2353	738	0.3398	-	-	-	-	-
7.2451	739	0.0727	-	-	-	-	-
7.2549	740	0.1177	-	-	-	-	-
7.2647	741	2.5272	-	-	-	-	-
7.2745	742	0.0979	-	-	-	-	-
7.2843	743	1.0621	-	-	-	-	-
7.2941	744	2.5562	-	-	-	-	-
7.3039	745	2.6074	-	-	-	-	-
7.3137	746	0.4617	-	-	-	-	-
7.3235	747	0.319	-	-	-	-	-
7.3333	748	0.1572	-	-	-	-	-
7.3431	749	0.0967	-	-	-	-	-
7.3529	750	0.2314	-	-	-	-	-
7.3627	751	1.4183	-	-	-	-	-
7.3725	752	0.4764	-	-	-	-	-
7.3824	753	0.7544	-	-	-	-	-
7.3922	754	1.3747	-	-	-	-	-
7.4020	755	0.2864	-	-	-	-	-
7.4118	756	1.215	-	-	-	-	-
7.4216	757	0.8001	-	-	-	-	-
7.4314	758	2.7613	-	-	-	-	-
7.4412	759	1.2573	-	-	-	-	-
7.4510	760	2.1992	-	-	-	-	-
7.4608	761	0.3974	-	-	-	-	-
7.4706	762	0.3966	-	-	-	-	-
7.4804	763	1.0386	-	-	-	-	-
7.4902	764	0.6936	-	-	-	-	-
7.5	765	2.4118	-	-	-	-	-
7.5098	766	0.578	-	-	-	-	-
7.5196	767	1.0698	-	-	-	-	-
7.5294	768	3.0891	-	-	-	-	-
7.5392	769	0.3662	-	-	-	-	-
7.5490	770	0.7763	-	-	-	-	-
7.5588	771	1.069	-	-	-	-	-
7.5686	772	1.3224	-	-	-	-	-
7.5784	773	1.1737	-	-	-	-	-
7.5882	774	0.7958	-	-	-	-	-
7.5980	775	0.2983	-	-	-	-	-
7.6078	776	0.5268	-	-	-	-	-
7.6176	777	2.0721	-	-	-	-	-
7.6275	778	0.3729	-	-	-	-	-
7.6373	779	2.2747	-	-	-	-	-
7.6471	780	0.3625	-	-	-	-	-
7.6569	781	1.2808	-	-	-	-	-
7.6667	782	0.852	-	-	-	-	-
7.6765	783	0.7065	-	-	-	-	-
7.6863	784	0.7982	-	-	-	-	-
7.6961	785	1.0492	-	-	-	-	-
7.7059	786	4.9682	-	-	-	-	-
7.7157	787	0.7334	-	-	-	-	-
7.7255	788	1.6746	-	-	-	-	-
7.7353	789	0.3226	-	-	-	-	-
7.7451	790	1.2463	-	-	-	-	-
7.7549	791	0.1177	-	-	-	-	-
7.7647	792	0.7994	-	-	-	-	-
7.7745	793	0.9575	-	-	-	-	-
7.7843	794	1.7396	-	-	-	-	-
7.7941	795	0.2661	-	-	-	-	-
7.8039	796	0.3491	-	-	-	-	-
7.8137	797	1.263	-	-	-	-	-
7.8235	798	0.688	-	-	-	-	-
7.8333	799	1.0977	-	-	-	-	-
7.8431	800	0.3174	-	-	-	-	-
7.8529	801	1.6033	-	-	-	-	-
7.8627	802	0.5253	-	-	-	-	-
7.8725	803	0.2503	-	-	-	-	-
7.8824	804	0.2302	-	-	-	-	-
7.8922	805	1.194	-	-	-	-	-
7.9020	806	0.125	-	-	-	-	-
7.9118	807	0.2382	-	-	-	-	-
7.9216	808	0.6626	-	-	-	-	-
7.9314	809	1.332	-	-	-	-	-
7.9412	810	0.7546	-	-	-	-	-
7.9510	811	1.3594	-	-	-	-	-
7.9608	812	0.3374	-	-	-	-	-
7.9706	813	0.1085	-	-	-	-	-
7.9804	814	0.2988	-	-	-	-	-
7.9902	815	1.0594	-	-	-	-	-
8.0	816	0.8108	0.4459	0.417	0.4262	0.4015	0.3543
8.0098	817	1.6415	-	-	-	-	-
8.0196	818	0.5729	-	-	-	-	-
8.0294	819	0.2431	-	-	-	-	-
8.0392	820	0.0989	-	-	-	-	-
8.0490	821	0.407	-	-	-	-	-
8.0588	822	0.2033	-	-	-	-	-
8.0686	823	0.0696	-	-	-	-	-
8.0784	824	0.851	-	-	-	-	-
8.0882	825	0.9077	-	-	-	-	-
8.0980	826	0.9771	-	-	-	-	-
8.1078	827	0.0401	-	-	-	-	-
8.1176	828	1.1382	-	-	-	-	-
8.1275	829	0.8196	-	-	-	-	-
8.1373	830	1.5887	-	-	-	-	-
8.1471	831	0.3061	-	-	-	-	-
8.1569	832	0.3639	-	-	-	-	-
8.1667	833	0.8238	-	-	-	-	-
8.1765	834	2.4125	-	-	-	-	-
8.1863	835	0.3285	-	-	-	-	-
8.1961	836	1.2693	-	-	-	-	-
8.2059	837	0.7041	-	-	-	-	-
8.2157	838	1.367	-	-	-	-	-
8.2255	839	0.3819	-	-	-	-	-
8.2353	840	0.3261	-	-	-	-	-
8.2451	841	0.1604	-	-	-	-	-
8.2549	842	0.2953	-	-	-	-	-
8.2647	843	0.2338	-	-	-	-	-
8.2745	844	0.6358	-	-	-	-	-
8.2843	845	0.291	-	-	-	-	-
8.2941	846	0.4161	-	-	-	-	-
8.3039	847	0.3394	-	-	-	-	-
8.3137	848	0.4881	-	-	-	-	-
8.3235	849	0.064	-	-	-	-	-
8.3333	850	0.4495	-	-	-	-	-
8.3431	851	1.5225	-	-	-	-	-
8.3529	852	2.0374	-	-	-	-	-
8.3627	853	1.2006	-	-	-	-	-
8.3725	854	0.8078	-	-	-	-	-
8.3824	855	0.9041	-	-	-	-	-
8.3922	856	1.5963	-	-	-	-	-
8.4020	857	0.5425	-	-	-	-	-
8.4118	858	0.6677	-	-	-	-	-
8.4216	859	0.4999	-	-	-	-	-
8.4314	860	0.714	-	-	-	-	-
8.4412	861	0.7261	-	-	-	-	-
8.4510	862	2.7081	-	-	-	-	-
8.4608	863	0.4506	-	-	-	-	-
8.4706	864	0.5964	-	-	-	-	-
8.4804	865	1.7521	-	-	-	-	-
8.4902	866	0.082	-	-	-	-	-
8.5	867	1.8877	-	-	-	-	-
8.5098	868	0.7459	-	-	-	-	-
8.5196	869	0.4234	-	-	-	-	-
8.5294	870	0.2139	-	-	-	-	-
8.5392	871	0.4065	-	-	-	-	-
8.5490	872	0.4149	-	-	-	-	-
8.5588	873	0.1655	-	-	-	-	-
8.5686	874	0.1859	-	-	-	-	-
8.5784	875	0.3872	-	-	-	-	-
8.5882	876	1.525	-	-	-	-	-
8.5980	877	0.19	-	-	-	-	-
8.6078	878	0.2682	-	-	-	-	-
8.6176	879	0.7359	-	-	-	-	-
8.6275	880	0.1673	-	-	-	-	-
8.6373	881	0.8408	-	-	-	-	-
8.6471	882	3.0478	-	-	-	-	-
8.6569	883	0.4146	-	-	-	-	-
8.6667	884	0.5306	-	-	-	-	-
8.6765	885	0.0822	-	-	-	-	-
8.6863	886	0.4965	-	-	-	-	-
8.6961	887	1.0049	-	-	-	-	-
8.7059	888	0.2145	-	-	-	-	-
8.7157	889	1.8225	-	-	-	-	-
8.7255	890	0.3627	-	-	-	-	-
8.7353	891	0.2014	-	-	-	-	-
8.7451	892	0.0457	-	-	-	-	-
8.7549	893	0.5945	-	-	-	-	-
8.7647	894	0.1512	-	-	-	-	-
8.7745	895	0.2263	-	-	-	-	-
8.7843	896	0.4299	-	-	-	-	-
8.7941	897	2.0841	-	-	-	-	-
8.8039	898	0.1091	-	-	-	-	-
8.8137	899	0.1929	-	-	-	-	-
8.8235	900	0.9688	-	-	-	-	-
8.8333	901	2.2755	-	-	-	-	-
8.8431	902	0.1342	-	-	-	-	-
8.8529	903	1.8097	-	-	-	-	-
8.8627	904	0.1446	-	-	-	-	-
8.8725	905	1.044	-	-	-	-	-
8.8824	906	0.1536	-	-	-	-	-
8.8922	907	0.2797	-	-	-	-	-
8.9020	908	0.2118	-	-	-	-	-
8.9118	909	0.1958	-	-	-	-	-
8.9216	910	3.7798	-	-	-	-	-
8.9314	911	0.1648	-	-	-	-	-
8.9412	912	0.6105	-	-	-	-	-
8.9510	913	0.0285	-	-	-	-	-
8.9608	914	0.4037	-	-	-	-	-
8.9706	915	0.7257	-	-	-	-	-
8.9804	916	0.9691	-	-	-	-	-
8.9902	917	0.1525	-	-	-	-	-
9.0	918	0.9161	0.4467	0.4235	0.4283	0.3972	0.3663
9.0098	919	0.1503	-	-	-	-	-
9.0196	920	0.6898	-	-	-	-	-
9.0294	921	0.1274	-	-	-	-	-
9.0392	922	0.9478	-	-	-	-	-
9.0490	923	2.1775	-	-	-	-	-
9.0588	924	1.2532	-	-	-	-	-
9.0686	925	0.0602	-	-	-	-	-
9.0784	926	0.6551	-	-	-	-	-
9.0882	927	1.1571	-	-	-	-	-
9.0980	928	1.1766	-	-	-	-	-
9.1078	929	0.6376	-	-	-	-	-
9.1176	930	0.4271	-	-	-	-	-
9.1275	931	0.7333	-	-	-	-	-
9.1373	932	0.1892	-	-	-	-	-
9.1471	933	0.8176	-	-	-	-	-
9.1569	934	0.0462	-	-	-	-	-
9.1667	935	0.7453	-	-	-	-	-
9.1765	936	0.5803	-	-	-	-	-
9.1863	937	0.0249	-	-	-	-	-
9.1961	938	0.3234	-	-	-	-	-
9.2059	939	0.791	-	-	-	-	-
9.2157	940	1.1631	-	-	-	-	-
9.2255	941	0.8114	-	-	-	-	-
9.2353	942	1.4849	-	-	-	-	-
9.2451	943	1.7994	-	-	-	-	-
9.2549	944	0.8047	-	-	-	-	-
9.2647	945	1.6693	-	-	-	-	-
9.2745	946	2.0198	-	-	-	-	-
9.2843	947	1.5887	-	-	-	-	-
9.2941	948	1.0684	-	-	-	-	-
9.3039	949	0.8261	-	-	-	-	-
9.3137	950	0.5403	-	-	-	-	-
9.3235	951	0.1745	-	-	-	-	-
9.3333	952	1.1274	-	-	-	-	-
9.3431	953	0.6753	-	-	-	-	-
9.3529	954	0.4869	-	-	-	-	-
9.3627	955	1.9079	-	-	-	-	-
9.3725	956	0.1888	-	-	-	-	-
9.3824	957	1.0459	-	-	-	-	-
9.3922	958	0.3718	-	-	-	-	-
9.4020	959	2.4513	-	-	-	-	-
9.4118	960	0.263	-	-	-	-	-
9.4216	961	0.2965	-	-	-	-	-
9.4314	962	3.4048	-	-	-	-	-
9.4412	963	0.7852	-	-	-	-	-
9.4510	964	0.5274	-	-	-	-	-
9.4608	965	0.132	-	-	-	-	-
9.4706	966	1.0642	-	-	-	-	-
9.4804	967	0.8499	-	-	-	-	-
9.4902	968	0.0986	-	-	-	-	-
9.5	969	2.1798	-	-	-	-	-
9.5098	970	1.6473	-	-	-	-	-
9.5196	971	0.1361	-	-	-	-	-
9.5294	972	1.3287	-	-	-	-	-
9.5392	973	0.5485	-	-	-	-	-
9.5490	974	2.0772	-	-	-	-	-
9.5588	975	0.149	-	-	-	-	-
9.5686	976	0.0903	-	-	-	-	-
9.5784	977	1.4116	-	-	-	-	-
9.5882	978	1.6754	-	-	-	-	-
9.5980	979	1.3605	-	-	-	-	-
9.6078	980	1.0583	-	-	-	-	-
9.6176	981	0.6295	-	-	-	-	-
9.6275	982	0.9519	-	-	-	-	-
9.6373	983	0.3229	-	-	-	-	-
9.6471	984	0.5431	-	-	-	-	-
9.6569	985	0.1796	-	-	-	-	-
9.6667	986	0.8005	-	-	-	-	-
9.6765	987	1.2975	-	-	-	-	-
9.6863	988	1.1569	-	-	-	-	-
9.6961	989	1.7558	-	-	-	-	-
9.7059	990	0.7966	-	-	-	-	-
9.7157	991	0.6668	-	-	-	-	-
9.7255	992	1.7831	-	-	-	-	-
9.7353	993	1.0338	-	-	-	-	-
9.7451	994	0.6098	-	-	-	-	-
9.7549	995	7.3267	-	-	-	-	-
9.7647	996	0.1075	-	-	-	-	-
9.7745	997	0.3112	-	-	-	-	-
9.7843	998	0.1638	-	-	-	-	-
9.7941	999	0.1832	-	-	-	-	-
9.8039	1000	4.5754	-	-	-	-	-
9.8137	1001	0.891	-	-	-	-	-
9.8235	1002	0.705	-	-	-	-	-
9.8333	1003	0.5125	-	-	-	-	-
9.8431	1004	0.4005	-	-	-	-	-
9.8529	1005	0.1178	-	-	-	-	-
9.8627	1006	0.5048	-	-	-	-	-
9.8725	1007	1.1522	-	-	-	-	-
9.8824	1008	0.1913	-	-	-	-	-
9.8922	1009	0.4748	-	-	-	-	-
9.9020	1010	0.9198	-	-	-	-	-
9.9118	1011	1.097	-	-	-	-	-
9.9216	1012	0.4018	-	-	-	-	-
9.9314	1013	0.8162	-	-	-	-	-
9.9412	1014	0.0675	-	-	-	-	-
9.9510	1015	0.8219	-	-	-	-	-
9.9608	1016	0.3287	-	-	-	-	-
9.9706	1017	0.5968	-	-	-	-	-
9.9804	1018	1.4587	-	-	-	-	-
9.9902	1019	0.3121	-	-	-	-	-
10.0	1020	0.5234	0.4406	0.4219	0.4225	0.3977	0.3669

• The bold row denotes the saved checkpoint.

Framework Versions

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

Citation

BibTeX

Sentence Transformers

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

MatryoshkaLoss

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

MultipleNegativesRankingLoss

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