| --- |
| base_model: cointegrated/rubert-tiny2 |
| datasets: [] |
| language: [] |
| library_name: sentence-transformers |
| metrics: |
| - cosine_accuracy@1 |
| - cosine_accuracy@3 |
| - cosine_accuracy@5 |
| - cosine_precision@1 |
| - cosine_precision@3 |
| - cosine_precision@5 |
| - cosine_precision@10 |
| - cosine_recall@1 |
| - cosine_recall@3 |
| - cosine_recall@5 |
| - cosine_recall@10 |
| - cosine_ndcg@10 |
| - cosine_mrr@10 |
| - cosine_map@100 |
| - dot_accuracy@1 |
| - dot_accuracy@3 |
| - dot_accuracy@5 |
| - dot_precision@1 |
| - dot_precision@3 |
| - dot_precision@5 |
| - dot_precision@10 |
| - dot_recall@1 |
| - dot_recall@3 |
| - dot_recall@5 |
| - dot_recall@10 |
| - dot_ndcg@10 |
| - dot_mrr@10 |
| - dot_map@100 |
| pipeline_tag: sentence-similarity |
| tags: |
| - sentence-transformers |
| - sentence-similarity |
| - feature-extraction |
| - generated_from_trainer |
| - dataset_size:1317 |
| - loss:MultipleNegativesRankingLoss |
| widget: |
| - source_sentence: востановить лк |
| sentences: |
| - Создайте, пожалуйста, обращение в ИТ поддержку на портале support |
| - Если руководитель не успел согласовать или не согласовать задачу по ЭЛН, БЛ автоматически |
| согласовывается |
| - 'При проблемах со входом в личный кабинет, прежде чем создавать заявку в поддержку, |
| убедитесь, что заходите в ЛК на сайте https://company-x5.ru, указываете актуальные |
| и верные логин и пароль. Если Вам неизвестен логин, обратитесь к руководителю |
| (ДМ), он сможет посмотреть Ваш логин и сбросить пароль в веб-табеле. Для самостоятельного |
| сброса пароля позвоните с вашего мобильного телефона на +7 (XXX) XXX XX XX, наберите |
| добавочный номер 10100, нажмите * и подтвердите сброс пароля, нажав #. Обновленный |
| пароль отправляется по SMS.' |
| - source_sentence: Можно ли изменить период больничного по беременности и родам, если |
| в ЭЛН указаны другие периоды? |
| sentences: |
| - 'По процессу, после согласования заявки на УР, необходимо подписать доп. соглашение. |
| Сотрудникам КЦ необходимо подписать дополнительное соглашение: - удаленно с помощью |
| обмена скан-копий или фото документа, а при невозможности – подтверждением по |
| электронной почте. Как только доп. соглашение любым образом подписывается, работник |
| отдела кадров снимает блокировку в SAP HR с доп. соглашения и Вам представляется |
| возможность создать график работы в ЛК.' |
| - Сотрудник может продолжить работу во время больничного по беременности и родам, |
| при этом ему будет выплачиваться заработная плата. Пособие по беременности и родам |
| будет рассчитано с фактической даты ухода в отпуск по беременности и родам (соответственно, |
| будет оплачено меньшее кол-во дней БИРа). |
| - У данного руководителя отсутствует доступ к сервису "Удаленная работа" по правилу, |
| поэтому его не видно в ЛК2. Возможно на штатной должности сотрудника "Уровень |
| подчиненности до СЕО = -2", в таблице ZHRT_ESS_REMAPP для всех форматов настройки |
| такого плана (ограничение на ШД руководителя CEO и -1) |
| - source_sentence: Нет моей команды в ЛК. С уважением ДМ |
| sentences: |
| - Пожалуйста, создайте заявку в разделе "Зарплатная карта", выбрав подтему "Изменение |
| банковских реквизитов" |
| - 'При проблемах со входом в личный кабинет, прежде чем создавать заявку в поддержку, |
| убедитесь, что заходите в ЛК на сайте https://company-x5.ru, указываете актуальные |
| и верные логин и пароль. Если Вам неизвестен логин, обратитесь к руководителю |
| (ДМ), он сможет посмотреть Ваш логин и сбросить пароль в веб-табеле. Для самостоятельного |
| сброса пароля позвоните с вашего мобильного телефона на +7 (XXX) XXX XX XX, наберите |
| добавочный номер 10100, нажмите * и подтвердите сброс пароля, нажав #. Обновленный |
| пароль отправляется по SMS.' |
| - Если в "команде" нет подчиненных сотрудников просьба обратиться в поддержку для |
| корректировки |
| - source_sentence: исчезли вкладки в личном кабинете |
| sentences: |
| - Кнопка "изменить номер" телефона находится в личном разделе в ЛК. Если доступа |
| к ЛК нет, для смены номера телефона, обратитесь в поддержку |
| - Для изменения графика работы сотрудника создайте заявку в разделе "Заявки" по |
| теме "Табель/график/рабочее время", выбрав подтему "Изменение графика". |
| - Если в "команде" нет подчиненных сотрудников просьба обратиться в поддержку для |
| корректировки |
| - source_sentence: Дайте обратную связь по моей заявке,отправлен ли логин и пароль |
| сотруднику |
| sentences: |
| - Создайте, пожалуйста, обращение в ИТ поддержку на портале support |
| - 'При проблемах со входом в личный кабинет, прежде чем создавать заявку в поддержку, |
| убедитесь, что заходите в ЛК на сайте https://company-x5.ru, указываете актуальные |
| и верные логин и пароль. Если Вам неизвестен логин, обратитесь к руководителю |
| (ДМ), он сможет посмотреть Ваш логин и сбросить пароль в веб-табеле. Для самостоятельного |
| сброса пароля позвоните с вашего мобильного телефона на +7 (XXX) XXX XX XX, наберите |
| добавочный номер 10100, нажмите * и подтвердите сброс пароля, нажав #. Обновленный |
| пароль отправляется по SMS.' |
| - На текущий момент данные по больничным листам поступают работодателю от СФР напрямую. |
| Если больничный лист не был подтвержден, а затем появилась необходимость в его |
| проведении, то сотруднику следует создать заявку в Личном кабинете по теме "Перерасчет |
| пособий" и указать номер ЭЛН. |
| model-index: |
| - name: SentenceTransformer based on cointegrated/rubert-tiny2 |
| results: |
| - task: |
| type: information-retrieval |
| name: Information Retrieval |
| dataset: |
| name: test |
| type: test |
| metrics: |
| - type: cosine_accuracy@1 |
| value: 0.6909090909090909 |
| name: Cosine Accuracy@1 |
| - type: cosine_accuracy@3 |
| value: 0.8303030303030303 |
| name: Cosine Accuracy@3 |
| - type: cosine_accuracy@5 |
| value: 0.8787878787878788 |
| name: Cosine Accuracy@5 |
| - type: cosine_precision@1 |
| value: 0.6909090909090909 |
| name: Cosine Precision@1 |
| - type: cosine_precision@3 |
| value: 0.2767676767676768 |
| name: Cosine Precision@3 |
| - type: cosine_precision@5 |
| value: 0.17575757575757572 |
| name: Cosine Precision@5 |
| - type: cosine_precision@10 |
| value: 0.0906060606060606 |
| name: Cosine Precision@10 |
| - type: cosine_recall@1 |
| value: 0.6909090909090909 |
| name: Cosine Recall@1 |
| - type: cosine_recall@3 |
| value: 0.8303030303030303 |
| name: Cosine Recall@3 |
| - type: cosine_recall@5 |
| value: 0.8787878787878788 |
| name: Cosine Recall@5 |
| - type: cosine_recall@10 |
| value: 0.906060606060606 |
| name: Cosine Recall@10 |
| - type: cosine_ndcg@10 |
| value: 0.8025561727971702 |
| name: Cosine Ndcg@10 |
| - type: cosine_mrr@10 |
| value: 0.7688119288119287 |
| name: Cosine Mrr@10 |
| - type: cosine_map@100 |
| value: 0.7729668802734949 |
| name: Cosine Map@100 |
| - type: dot_accuracy@1 |
| value: 0.6909090909090909 |
| name: Dot Accuracy@1 |
| - type: dot_accuracy@3 |
| value: 0.8303030303030303 |
| name: Dot Accuracy@3 |
| - type: dot_accuracy@5 |
| value: 0.8787878787878788 |
| name: Dot Accuracy@5 |
| - type: dot_precision@1 |
| value: 0.6909090909090909 |
| name: Dot Precision@1 |
| - type: dot_precision@3 |
| value: 0.2767676767676768 |
| name: Dot Precision@3 |
| - type: dot_precision@5 |
| value: 0.17575757575757572 |
| name: Dot Precision@5 |
| - type: dot_precision@10 |
| value: 0.0906060606060606 |
| name: Dot Precision@10 |
| - type: dot_recall@1 |
| value: 0.6909090909090909 |
| name: Dot Recall@1 |
| - type: dot_recall@3 |
| value: 0.8303030303030303 |
| name: Dot Recall@3 |
| - type: dot_recall@5 |
| value: 0.8787878787878788 |
| name: Dot Recall@5 |
| - type: dot_recall@10 |
| value: 0.906060606060606 |
| name: Dot Recall@10 |
| - type: dot_ndcg@10 |
| value: 0.8025561727971702 |
| name: Dot Ndcg@10 |
| - type: dot_mrr@10 |
| value: 0.7688119288119287 |
| name: Dot Mrr@10 |
| - type: dot_map@100 |
| value: 0.7729668802734949 |
| name: Dot Map@100 |
| --- |
| |
| # SentenceTransformer based on cointegrated/rubert-tiny2 |
|
|
| This is a [sentence-transformers](https://www.SBERT.net) model finetuned from [cointegrated/rubert-tiny2](https://huggingface.co/cointegrated/rubert-tiny2). It maps sentences & paragraphs to a 312-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:** [cointegrated/rubert-tiny2](https://huggingface.co/cointegrated/rubert-tiny2) <!-- at revision dad72b8f77c5eef6995dd3e4691b758ba56b90c3 --> |
| - **Maximum Sequence Length:** 2048 tokens |
| - **Output Dimensionality:** 312 tokens |
| - **Similarity Function:** Cosine Similarity |
| <!-- - **Training Dataset:** Unknown --> |
| <!-- - **Language:** Unknown --> |
| <!-- - **License:** Unknown --> |
|
|
| ### Model Sources |
|
|
| - **Documentation:** [Sentence Transformers Documentation](https://sbert.net) |
| - **Repository:** [Sentence Transformers on GitHub](https://github.com/UKPLab/sentence-transformers) |
| - **Hugging Face:** [Sentence Transformers on Hugging Face](https://huggingface.co/models?library=sentence-transformers) |
|
|
| ### Full Model Architecture |
|
|
| ``` |
| SentenceTransformer( |
| (0): Transformer({'max_seq_length': 2048, 'do_lower_case': False}) with Transformer model: BertModel |
| (1): Pooling({'word_embedding_dimension': 312, 'pooling_mode_cls_token': True, 'pooling_mode_mean_tokens': False, '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: |
|
|
| ```bash |
| pip install -U sentence-transformers |
| ``` |
|
|
| Then you can load this model and run inference. |
| ```python |
| from sentence_transformers import SentenceTransformer |
| |
| # Download from the 🤗 Hub |
| model = SentenceTransformer("WpythonW/RUbert-tiny_custom_test") |
| # Run inference |
| sentences = [ |
| 'Дайте обратную связь по моей заявке,отправлен ли логин и пароль сотруднику', |
| 'При проблемах со входом в личный кабинет, прежде чем создавать заявку в поддержку, убедитесь, что заходите в ЛК на сайте https://company-x5.ru, указываете актуальные и верные логин и пароль. Если Вам неизвестен логин, обратитесь к руководителю (ДМ), он сможет посмотреть Ваш логин и сбросить пароль в веб-табеле. Для самостоятельного сброса пароля позвоните с вашего мобильного телефона на +7 (XXX) XXX XX XX, наберите добавочный номер 10100, нажмите * и подтвердите сброс пароля, нажав #. Обновленный пароль отправляется по SMS.', |
| 'Создайте, пожалуйста, обращение в ИТ поддержку на портале support', |
| ] |
| embeddings = model.encode(sentences) |
| print(embeddings.shape) |
| # [3, 312] |
| |
| # Get the similarity scores for the embeddings |
| similarities = model.similarity(embeddings, embeddings) |
| print(similarities.shape) |
| # [3, 3] |
| ``` |
|
|
| <!-- |
| ### Direct Usage (Transformers) |
|
|
| <details><summary>Click to see the direct usage in Transformers</summary> |
|
|
| </details> |
| --> |
|
|
| <!-- |
| ### Downstream Usage (Sentence Transformers) |
|
|
| You can finetune this model on your own dataset. |
|
|
| <details><summary>Click to expand</summary> |
|
|
| </details> |
| --> |
|
|
| <!-- |
| ### Out-of-Scope Use |
|
|
| *List how the model may foreseeably be misused and address what users ought not to do with the model.* |
| --> |
|
|
| ## Evaluation |
|
|
| ### Metrics |
|
|
| #### Information Retrieval |
| * Dataset: `test` |
| * Evaluated with [<code>InformationRetrievalEvaluator</code>](https://sbert.net/docs/package_reference/sentence_transformer/evaluation.html#sentence_transformers.evaluation.InformationRetrievalEvaluator) |
|
|
| | Metric | Value | |
| |:--------------------|:----------| |
| | cosine_accuracy@1 | 0.6909 | |
| | cosine_accuracy@3 | 0.8303 | |
| | cosine_accuracy@5 | 0.8788 | |
| | cosine_precision@1 | 0.6909 | |
| | cosine_precision@3 | 0.2768 | |
| | cosine_precision@5 | 0.1758 | |
| | cosine_precision@10 | 0.0906 | |
| | cosine_recall@1 | 0.6909 | |
| | cosine_recall@3 | 0.8303 | |
| | cosine_recall@5 | 0.8788 | |
| | cosine_recall@10 | 0.9061 | |
| | cosine_ndcg@10 | 0.8026 | |
| | cosine_mrr@10 | 0.7688 | |
| | **cosine_map@100** | **0.773** | |
| | dot_accuracy@1 | 0.6909 | |
| | dot_accuracy@3 | 0.8303 | |
| | dot_accuracy@5 | 0.8788 | |
| | dot_precision@1 | 0.6909 | |
| | dot_precision@3 | 0.2768 | |
| | dot_precision@5 | 0.1758 | |
| | dot_precision@10 | 0.0906 | |
| | dot_recall@1 | 0.6909 | |
| | dot_recall@3 | 0.8303 | |
| | dot_recall@5 | 0.8788 | |
| | dot_recall@10 | 0.9061 | |
| | dot_ndcg@10 | 0.8026 | |
| | dot_mrr@10 | 0.7688 | |
| | dot_map@100 | 0.773 | |
| |
| <!-- |
| ## Bias, Risks and Limitations |
| |
| *What are the known or foreseeable issues stemming from this model? You could also flag here known failure cases or weaknesses of the model.* |
| --> |
| |
| <!-- |
| ### Recommendations |
| |
| *What are recommendations with respect to the foreseeable issues? For example, filtering explicit content.* |
| --> |
| |
| ## Training Details |
| |
| ### Training Dataset |
| |
| #### Unnamed Dataset |
| |
| |
| * Size: 1,317 training samples |
| * Columns: <code>sentence_0</code> and <code>sentence_1</code> |
| * Approximate statistics based on the first 1000 samples: |
| | | sentence_0 | sentence_1 | |
| |:--------|:-----------------------------------------------------------------------------------|:-----------------------------------------------------------------------------------| |
| | type | string | string | |
| | details | <ul><li>min: 3 tokens</li><li>mean: 12.42 tokens</li><li>max: 107 tokens</li></ul> | <ul><li>min: 7 tokens</li><li>mean: 60.08 tokens</li><li>max: 371 tokens</li></ul> | |
| * Samples: |
| | sentence_0 | sentence_1 | |
| |:-------------------------------------------------------------------------------------------------------------------------------------------------------------------|:----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------| |
| | <code>Не могу оформить заявку на работу из дома</code> | <code>Критерии доступности сервиса Удаленная Работа: 1.Сотрудник не на нулевой занятости: процент соединения (ИТ 1001) между штатной должностью и табельным номером на текущую дату больше 0; 2.Сотрудник на офисном графике работы: в ИТ 0007 Нормативное рабочее время на текущую дату установлен график, который в соответствии с Правилом ГРВ (таблица T508A) является офисным – поле KKRKH принимает одно из значений: {1; 2; 3; 4; 6}; 3.У сотрудника есть руководитель: наличие на текущую дату соединения (ИТ 1001) B012 между ОЕ сотрудника и ШД руководителям или BZ10 между ШД сотрудника и ШД руководителя; 4.Уровень CEO- руководителя сотрудника позволяет принимать заявки на УР: на штатной должности руководителя сотрудника установленное на текущую дату значение атрибута (ИТ 1222) Z_PM_CEO Уровень подчиненности до СЕО по сценарию Z_PM Управление эффективностью должностей отсутствует в таблице ZHRT_ESS_REMAPP для формата сотрудника (на данный момент ограничение только на CEO и -1 5.Сотруднику установлен признак «Удаленный офис»: на ШД сотрудника / на ОЕ сотрудника / на вышестоящей ОЕ (по пути анализа P-S-O-O) в ИТ 1010 Комп/ВспомСредства подтипе 9021 Работа на дому установлено значение 002 Удаленный офис. Если какой-то из критериев не выполняется, вкладка «удаленная работа» в личном кабинете будет не доступна. Для внесения изменений в систему SAP, необходимо обратиться к специалистам по кадрам.</code> | |
| | <code>Не поступают заявки в работу, прошу настроить корректность их назначения. Была делегирована роль в ЛК от менеджера по кадрам, но заявки не поступают.</code> | <code>Создайте, пожалуйста, обращение в ИТ поддержку на портале support</code> | |
| | <code>Нет возможности подписать график УР - отображается, что подписано все.</code> | <code>Вам необходимо открыть сервис "Удаленная работа", далее выбрать "График УР". Заявка находится в статусе "Ожидание подписание". Нажмите на нее. Откроется заявка и будет активна кнопка "Подписать".</code> | |
| * Loss: [<code>MultipleNegativesRankingLoss</code>](https://sbert.net/docs/package_reference/sentence_transformer/losses.html#multiplenegativesrankingloss) with these parameters: |
| ```json |
| { |
| "scale": 20.0, |
| "similarity_fct": "cos_sim" |
| } |
| ``` |
|
|
| ### Training Hyperparameters |
| #### Non-Default Hyperparameters |
|
|
| - `eval_strategy`: steps |
| - `per_device_train_batch_size`: 512 |
| - `per_device_eval_batch_size`: 512 |
| - `num_train_epochs`: 1200 |
| - `multi_dataset_batch_sampler`: round_robin |
| |
| #### All Hyperparameters |
| <details><summary>Click to expand</summary> |
| |
| - `overwrite_output_dir`: False |
| - `do_predict`: False |
| - `eval_strategy`: steps |
| - `prediction_loss_only`: True |
| - `per_device_train_batch_size`: 512 |
| - `per_device_eval_batch_size`: 512 |
| - `per_gpu_train_batch_size`: None |
| - `per_gpu_eval_batch_size`: None |
| - `gradient_accumulation_steps`: 1 |
| - `eval_accumulation_steps`: None |
| - `torch_empty_cache_steps`: None |
| - `learning_rate`: 5e-05 |
| - `weight_decay`: 0.0 |
| - `adam_beta1`: 0.9 |
| - `adam_beta2`: 0.999 |
| - `adam_epsilon`: 1e-08 |
| - `max_grad_norm`: 1 |
| - `num_train_epochs`: 1200 |
| - `max_steps`: -1 |
| - `lr_scheduler_type`: linear |
| - `lr_scheduler_kwargs`: {} |
| - `warmup_ratio`: 0.0 |
| - `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`: False |
| - `fp16`: False |
| - `fp16_opt_level`: O1 |
| - `half_precision_backend`: auto |
| - `bf16_full_eval`: False |
| - `fp16_full_eval`: False |
| - `tf32`: None |
| - `local_rank`: 0 |
| - `ddp_backend`: None |
| - `tpu_num_cores`: None |
| - `tpu_metrics_debug`: False |
| - `debug`: [] |
| - `dataloader_drop_last`: False |
| - `dataloader_num_workers`: 0 |
| - `dataloader_prefetch_factor`: None |
| - `past_index`: -1 |
| - `disable_tqdm`: False |
| - `remove_unused_columns`: True |
| - `label_names`: None |
| - `load_best_model_at_end`: False |
| - `ignore_data_skip`: False |
| - `fsdp`: [] |
| - `fsdp_min_num_params`: 0 |
| - `fsdp_config`: {'min_num_params': 0, 'xla': False, 'xla_fsdp_v2': False, 'xla_fsdp_grad_ckpt': False} |
| - `fsdp_transformer_layer_cls_to_wrap`: None |
| - `accelerator_config`: {'split_batches': False, 'dispatch_batches': None, 'even_batches': True, 'use_seedable_sampler': True, 'non_blocking': False, 'gradient_accumulation_kwargs': None} |
| - `deepspeed`: None |
| - `label_smoothing_factor`: 0.0 |
| - `optim`: adamw_torch |
| - `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`: False |
| - `hub_always_push`: False |
| - `gradient_checkpointing`: False |
| - `gradient_checkpointing_kwargs`: None |
| - `include_inputs_for_metrics`: False |
| - `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 |
| - `dispatch_batches`: None |
| - `split_batches`: 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 |
| - `eval_use_gather_object`: False |
| - `batch_sampler`: batch_sampler |
| - `multi_dataset_batch_sampler`: round_robin |
| |
| </details> |
| |
| ### Training Logs |
| <details><summary>Click to expand</summary> |
| |
| | Epoch | Step | Training Loss | test_cosine_map@100 | |
| |:---------:|:----:|:-------------:|:-------------------:| |
| | 1.0 | 3 | - | 0.2941 | |
| | 2.0 | 6 | - | 0.2941 | |
| | 3.0 | 9 | - | 0.2942 | |
| | 4.0 | 12 | - | 0.2942 | |
| | 5.0 | 15 | - | 0.2945 | |
| | 6.0 | 18 | - | 0.2945 | |
| | 7.0 | 21 | - | 0.2944 | |
| | 8.0 | 24 | - | 0.2948 | |
| | 9.0 | 27 | - | 0.2964 | |
| | 10.0 | 30 | - | 0.2964 | |
| | 11.0 | 33 | - | 0.2965 | |
| | 12.0 | 36 | - | 0.2967 | |
| | 13.0 | 39 | - | 0.2970 | |
| | 14.0 | 42 | - | 0.2979 | |
| | 15.0 | 45 | - | 0.2979 | |
| | 16.0 | 48 | - | 0.2995 | |
| | 17.0 | 51 | - | 0.3038 | |
| | 18.0 | 54 | - | 0.3041 | |
| | 19.0 | 57 | - | 0.3050 | |
| | 20.0 | 60 | - | 0.3058 | |
| | 21.0 | 63 | - | 0.3061 | |
| | 22.0 | 66 | - | 0.3073 | |
| | 23.0 | 69 | - | 0.3094 | |
| | 24.0 | 72 | - | 0.3098 | |
| | 25.0 | 75 | - | 0.3119 | |
| | 26.0 | 78 | - | 0.3122 | |
| | 27.0 | 81 | - | 0.3130 | |
| | 28.0 | 84 | - | 0.3144 | |
| | 29.0 | 87 | - | 0.3159 | |
| | 30.0 | 90 | - | 0.3180 | |
| | 31.0 | 93 | - | 0.3199 | |
| | 32.0 | 96 | - | 0.3225 | |
| | 33.0 | 99 | - | 0.3255 | |
| | 34.0 | 102 | - | 0.3274 | |
| | 35.0 | 105 | - | 0.3293 | |
| | 36.0 | 108 | - | 0.3297 | |
| | 37.0 | 111 | - | 0.3305 | |
| | 38.0 | 114 | - | 0.3328 | |
| | 39.0 | 117 | - | 0.3378 | |
| | 40.0 | 120 | - | 0.3382 | |
| | 41.0 | 123 | - | 0.3417 | |
| | 42.0 | 126 | - | 0.3428 | |
| | 43.0 | 129 | - | 0.3471 | |
| | 44.0 | 132 | - | 0.3497 | |
| | 45.0 | 135 | - | 0.3514 | |
| | 46.0 | 138 | - | 0.3540 | |
| | 47.0 | 141 | - | 0.3552 | |
| | 48.0 | 144 | - | 0.3585 | |
| | 49.0 | 147 | - | 0.3613 | |
| | 50.0 | 150 | - | 0.3621 | |
| | 51.0 | 153 | - | 0.3668 | |
| | 52.0 | 156 | - | 0.3696 | |
| | 53.0 | 159 | - | 0.3701 | |
| | 54.0 | 162 | - | 0.3724 | |
| | 55.0 | 165 | - | 0.3742 | |
| | 56.0 | 168 | - | 0.3789 | |
| | 57.0 | 171 | - | 0.3809 | |
| | 58.0 | 174 | - | 0.3821 | |
| | 59.0 | 177 | - | 0.3867 | |
| | 60.0 | 180 | - | 0.3894 | |
| | 61.0 | 183 | - | 0.3964 | |
| | 62.0 | 186 | - | 0.3988 | |
| | 63.0 | 189 | - | 0.4016 | |
| | 64.0 | 192 | - | 0.4027 | |
| | 65.0 | 195 | - | 0.4048 | |
| | 66.0 | 198 | - | 0.4093 | |
| | 67.0 | 201 | - | 0.4103 | |
| | 68.0 | 204 | - | 0.4101 | |
| | 69.0 | 207 | - | 0.4126 | |
| | 70.0 | 210 | - | 0.4138 | |
| | 71.0 | 213 | - | 0.4153 | |
| | 72.0 | 216 | - | 0.4202 | |
| | 73.0 | 219 | - | 0.4241 | |
| | 74.0 | 222 | - | 0.4285 | |
| | 75.0 | 225 | - | 0.4301 | |
| | 76.0 | 228 | - | 0.4321 | |
| | 77.0 | 231 | - | 0.4340 | |
| | 78.0 | 234 | - | 0.4366 | |
| | 79.0 | 237 | - | 0.4395 | |
| | 80.0 | 240 | - | 0.4403 | |
| | 81.0 | 243 | - | 0.4400 | |
| | 82.0 | 246 | - | 0.4422 | |
| | 83.0 | 249 | - | 0.4433 | |
| | 84.0 | 252 | - | 0.4481 | |
| | 85.0 | 255 | - | 0.4528 | |
| | 86.0 | 258 | - | 0.4552 | |
| | 87.0 | 261 | - | 0.4583 | |
| | 88.0 | 264 | - | 0.4637 | |
| | 89.0 | 267 | - | 0.4663 | |
| | 90.0 | 270 | - | 0.4674 | |
| | 91.0 | 273 | - | 0.4708 | |
| | 92.0 | 276 | - | 0.4718 | |
| | 93.0 | 279 | - | 0.4754 | |
| | 94.0 | 282 | - | 0.4778 | |
| | 95.0 | 285 | - | 0.4811 | |
| | 96.0 | 288 | - | 0.4820 | |
| | 97.0 | 291 | - | 0.4831 | |
| | 98.0 | 294 | - | 0.4857 | |
| | 99.0 | 297 | - | 0.4889 | |
| | 100.0 | 300 | - | 0.4929 | |
| | 101.0 | 303 | - | 0.4938 | |
| | 102.0 | 306 | - | 0.4990 | |
| | 103.0 | 309 | - | 0.5003 | |
| | 104.0 | 312 | - | 0.5012 | |
| | 105.0 | 315 | - | 0.5025 | |
| | 106.0 | 318 | - | 0.5033 | |
| | 107.0 | 321 | - | 0.5054 | |
| | 108.0 | 324 | - | 0.5073 | |
| | 109.0 | 327 | - | 0.5080 | |
| | 110.0 | 330 | - | 0.5088 | |
| | 111.0 | 333 | - | 0.5115 | |
| | 112.0 | 336 | - | 0.5131 | |
| | 113.0 | 339 | - | 0.5160 | |
| | 114.0 | 342 | - | 0.5201 | |
| | 115.0 | 345 | - | 0.5274 | |
| | 116.0 | 348 | - | 0.5297 | |
| | 117.0 | 351 | - | 0.5316 | |
| | 118.0 | 354 | - | 0.5340 | |
| | 119.0 | 357 | - | 0.5365 | |
| | 120.0 | 360 | - | 0.5374 | |
| | 121.0 | 363 | - | 0.5397 | |
| | 122.0 | 366 | - | 0.5418 | |
| | 123.0 | 369 | - | 0.5441 | |
| | 124.0 | 372 | - | 0.5463 | |
| | 125.0 | 375 | - | 0.5489 | |
| | 126.0 | 378 | - | 0.5525 | |
| | 127.0 | 381 | - | 0.5539 | |
| | 128.0 | 384 | - | 0.5556 | |
| | 129.0 | 387 | - | 0.5575 | |
| | 130.0 | 390 | - | 0.5601 | |
| | 131.0 | 393 | - | 0.5607 | |
| | 132.0 | 396 | - | 0.5632 | |
| | 133.0 | 399 | - | 0.5661 | |
| | 134.0 | 402 | - | 0.5685 | |
| | 135.0 | 405 | - | 0.5710 | |
| | 136.0 | 408 | - | 0.5747 | |
| | 137.0 | 411 | - | 0.5779 | |
| | 138.0 | 414 | - | 0.5805 | |
| | 139.0 | 417 | - | 0.5832 | |
| | 140.0 | 420 | - | 0.5871 | |
| | 141.0 | 423 | - | 0.5948 | |
| | 142.0 | 426 | - | 0.5976 | |
| | 143.0 | 429 | - | 0.5995 | |
| | 144.0 | 432 | - | 0.6056 | |
| | 145.0 | 435 | - | 0.6097 | |
| | 146.0 | 438 | - | 0.6100 | |
| | 147.0 | 441 | - | 0.6106 | |
| | 148.0 | 444 | - | 0.6113 | |
| | 149.0 | 447 | - | 0.6100 | |
| | 150.0 | 450 | - | 0.6105 | |
| | 151.0 | 453 | - | 0.6126 | |
| | 152.0 | 456 | - | 0.6136 | |
| | 153.0 | 459 | - | 0.6145 | |
| | 154.0 | 462 | - | 0.6166 | |
| | 155.0 | 465 | - | 0.6175 | |
| | 156.0 | 468 | - | 0.6194 | |
| | 157.0 | 471 | - | 0.6194 | |
| | 158.0 | 474 | - | 0.6196 | |
| | 159.0 | 477 | - | 0.6218 | |
| | 160.0 | 480 | - | 0.6230 | |
| | 161.0 | 483 | - | 0.6239 | |
| | 162.0 | 486 | - | 0.6284 | |
| | 163.0 | 489 | - | 0.6318 | |
| | 164.0 | 492 | - | 0.6325 | |
| | 165.0 | 495 | - | 0.6335 | |
| | 166.0 | 498 | - | 0.6335 | |
| | 166.6667 | 500 | 4.7565 | - | |
| | 167.0 | 501 | - | 0.6356 | |
| | 168.0 | 504 | - | 0.6388 | |
| | 169.0 | 507 | - | 0.6413 | |
| | 170.0 | 510 | - | 0.6417 | |
| | 171.0 | 513 | - | 0.6422 | |
| | 172.0 | 516 | - | 0.6440 | |
| | 173.0 | 519 | - | 0.6459 | |
| | 174.0 | 522 | - | 0.6460 | |
| | 175.0 | 525 | - | 0.6473 | |
| | 176.0 | 528 | - | 0.6461 | |
| | 177.0 | 531 | - | 0.6469 | |
| | 178.0 | 534 | - | 0.6471 | |
| | 179.0 | 537 | - | 0.6496 | |
| | 180.0 | 540 | - | 0.6498 | |
| | 181.0 | 543 | - | 0.6500 | |
| | 182.0 | 546 | - | 0.6524 | |
| | 183.0 | 549 | - | 0.6529 | |
| | 184.0 | 552 | - | 0.6533 | |
| | 185.0 | 555 | - | 0.6533 | |
| | 186.0 | 558 | - | 0.6550 | |
| | 187.0 | 561 | - | 0.6571 | |
| | 188.0 | 564 | - | 0.6592 | |
| | 189.0 | 567 | - | 0.6594 | |
| | 190.0 | 570 | - | 0.6602 | |
| | 191.0 | 573 | - | 0.6627 | |
| | 192.0 | 576 | - | 0.6634 | |
| | 193.0 | 579 | - | 0.6624 | |
| | 194.0 | 582 | - | 0.6630 | |
| | 195.0 | 585 | - | 0.6669 | |
| | 196.0 | 588 | - | 0.6700 | |
| | 197.0 | 591 | - | 0.6716 | |
| | 198.0 | 594 | - | 0.6725 | |
| | 199.0 | 597 | - | 0.6734 | |
| | 200.0 | 600 | - | 0.6737 | |
| | 201.0 | 603 | - | 0.6797 | |
| | 202.0 | 606 | - | 0.6814 | |
| | 203.0 | 609 | - | 0.6840 | |
| | 204.0 | 612 | - | 0.6872 | |
| | 205.0 | 615 | - | 0.6888 | |
| | 206.0 | 618 | - | 0.6894 | |
| | 207.0 | 621 | - | 0.6881 | |
| | 208.0 | 624 | - | 0.6897 | |
| | 209.0 | 627 | - | 0.6897 | |
| | 210.0 | 630 | - | 0.6894 | |
| | 211.0 | 633 | - | 0.6896 | |
| | 212.0 | 636 | - | 0.6900 | |
| | 213.0 | 639 | - | 0.6886 | |
| | 214.0 | 642 | - | 0.6873 | |
| | 215.0 | 645 | - | 0.6881 | |
| | 216.0 | 648 | - | 0.6892 | |
| | 217.0 | 651 | - | 0.6890 | |
| | 218.0 | 654 | - | 0.6892 | |
| | 219.0 | 657 | - | 0.6895 | |
| | 220.0 | 660 | - | 0.6864 | |
| | 221.0 | 663 | - | 0.6863 | |
| | 222.0 | 666 | - | 0.6863 | |
| | 223.0 | 669 | - | 0.6865 | |
| | 224.0 | 672 | - | 0.6869 | |
| | 225.0 | 675 | - | 0.6873 | |
| | 226.0 | 678 | - | 0.6876 | |
| | 227.0 | 681 | - | 0.6880 | |
| | 228.0 | 684 | - | 0.6884 | |
| | 229.0 | 687 | - | 0.6899 | |
| | 230.0 | 690 | - | 0.6930 | |
| | 231.0 | 693 | - | 0.6947 | |
| | 232.0 | 696 | - | 0.6957 | |
| | 233.0 | 699 | - | 0.6957 | |
| | 234.0 | 702 | - | 0.6944 | |
| | 235.0 | 705 | - | 0.6968 | |
| | 236.0 | 708 | - | 0.6973 | |
| | 237.0 | 711 | - | 0.6992 | |
| | 238.0 | 714 | - | 0.6996 | |
| | 239.0 | 717 | - | 0.7001 | |
| | 240.0 | 720 | - | 0.7003 | |
| | 241.0 | 723 | - | 0.6987 | |
| | 242.0 | 726 | - | 0.6974 | |
| | 243.0 | 729 | - | 0.6976 | |
| | 244.0 | 732 | - | 0.6989 | |
| | 245.0 | 735 | - | 0.6986 | |
| | 246.0 | 738 | - | 0.6982 | |
| | 247.0 | 741 | - | 0.6981 | |
| | 248.0 | 744 | - | 0.7000 | |
| | 249.0 | 747 | - | 0.7005 | |
| | 250.0 | 750 | - | 0.7015 | |
| | 251.0 | 753 | - | 0.7016 | |
| | 252.0 | 756 | - | 0.7009 | |
| | 253.0 | 759 | - | 0.7032 | |
| | 254.0 | 762 | - | 0.7039 | |
| | 255.0 | 765 | - | 0.7062 | |
| | 256.0 | 768 | - | 0.7060 | |
| | 257.0 | 771 | - | 0.7075 | |
| | 258.0 | 774 | - | 0.7093 | |
| | 259.0 | 777 | - | 0.7105 | |
| | 260.0 | 780 | - | 0.7110 | |
| | 261.0 | 783 | - | 0.7115 | |
| | 262.0 | 786 | - | 0.7130 | |
| | 263.0 | 789 | - | 0.7134 | |
| | 264.0 | 792 | - | 0.7134 | |
| | 265.0 | 795 | - | 0.7111 | |
| | 266.0 | 798 | - | 0.7111 | |
| | 267.0 | 801 | - | 0.7095 | |
| | 268.0 | 804 | - | 0.7082 | |
| | 269.0 | 807 | - | 0.7090 | |
| | 270.0 | 810 | - | 0.7113 | |
| | 271.0 | 813 | - | 0.7113 | |
| | 272.0 | 816 | - | 0.7110 | |
| | 273.0 | 819 | - | 0.7115 | |
| | 274.0 | 822 | - | 0.7127 | |
| | 275.0 | 825 | - | 0.7130 | |
| | 276.0 | 828 | - | 0.7130 | |
| | 277.0 | 831 | - | 0.7130 | |
| | 278.0 | 834 | - | 0.7137 | |
| | 279.0 | 837 | - | 0.7138 | |
| | 280.0 | 840 | - | 0.7139 | |
| | 281.0 | 843 | - | 0.7145 | |
| | 282.0 | 846 | - | 0.7146 | |
| | 283.0 | 849 | - | 0.7167 | |
| | 284.0 | 852 | - | 0.7167 | |
| | 285.0 | 855 | - | 0.7166 | |
| | 286.0 | 858 | - | 0.7180 | |
| | 287.0 | 861 | - | 0.7196 | |
| | 288.0 | 864 | - | 0.7200 | |
| | 289.0 | 867 | - | 0.7201 | |
| | 290.0 | 870 | - | 0.7202 | |
| | 291.0 | 873 | - | 0.7205 | |
| | 292.0 | 876 | - | 0.7203 | |
| | 293.0 | 879 | - | 0.7211 | |
| | 294.0 | 882 | - | 0.7213 | |
| | 295.0 | 885 | - | 0.7214 | |
| | 296.0 | 888 | - | 0.7215 | |
| | 297.0 | 891 | - | 0.7221 | |
| | 298.0 | 894 | - | 0.7234 | |
| | 299.0 | 897 | - | 0.7233 | |
| | 300.0 | 900 | - | 0.7235 | |
| | 301.0 | 903 | - | 0.7246 | |
| | 302.0 | 906 | - | 0.7248 | |
| | 303.0 | 909 | - | 0.7251 | |
| | 304.0 | 912 | - | 0.7251 | |
| | 305.0 | 915 | - | 0.7259 | |
| | 306.0 | 918 | - | 0.7259 | |
| | 307.0 | 921 | - | 0.7290 | |
| | 308.0 | 924 | - | 0.7290 | |
| | 309.0 | 927 | - | 0.7289 | |
| | 310.0 | 930 | - | 0.7291 | |
| | 311.0 | 933 | - | 0.7290 | |
| | 312.0 | 936 | - | 0.7275 | |
| | 313.0 | 939 | - | 0.7290 | |
| | 314.0 | 942 | - | 0.7290 | |
| | 315.0 | 945 | - | 0.7290 | |
| | 316.0 | 948 | - | 0.7290 | |
| | 317.0 | 951 | - | 0.7307 | |
| | 318.0 | 954 | - | 0.7309 | |
| | 319.0 | 957 | - | 0.7317 | |
| | 320.0 | 960 | - | 0.7304 | |
| | 321.0 | 963 | - | 0.7307 | |
| | 322.0 | 966 | - | 0.7289 | |
| | 323.0 | 969 | - | 0.7274 | |
| | 324.0 | 972 | - | 0.7291 | |
| | 325.0 | 975 | - | 0.7291 | |
| | 326.0 | 978 | - | 0.7308 | |
| | 327.0 | 981 | - | 0.7307 | |
| | 328.0 | 984 | - | 0.7308 | |
| | 329.0 | 987 | - | 0.7314 | |
| | 330.0 | 990 | - | 0.7315 | |
| | 331.0 | 993 | - | 0.7300 | |
| | 332.0 | 996 | - | 0.7300 | |
| | 333.0 | 999 | - | 0.7300 | |
| | 333.3333 | 1000 | 3.2971 | - | |
| | 334.0 | 1002 | - | 0.7300 | |
| | 335.0 | 1005 | - | 0.7311 | |
| | 336.0 | 1008 | - | 0.7326 | |
| | 337.0 | 1011 | - | 0.7310 | |
| | 338.0 | 1014 | - | 0.7323 | |
| | 339.0 | 1017 | - | 0.7338 | |
| | 340.0 | 1020 | - | 0.7323 | |
| | 341.0 | 1023 | - | 0.7324 | |
| | 342.0 | 1026 | - | 0.7326 | |
| | 343.0 | 1029 | - | 0.7331 | |
| | 344.0 | 1032 | - | 0.7333 | |
| | 345.0 | 1035 | - | 0.7330 | |
| | 346.0 | 1038 | - | 0.7328 | |
| | 347.0 | 1041 | - | 0.7332 | |
| | 348.0 | 1044 | - | 0.7333 | |
| | 349.0 | 1047 | - | 0.7334 | |
| | 350.0 | 1050 | - | 0.7337 | |
| | 351.0 | 1053 | - | 0.7337 | |
| | 352.0 | 1056 | - | 0.7338 | |
| | 353.0 | 1059 | - | 0.7323 | |
| | 354.0 | 1062 | - | 0.7323 | |
| | 355.0 | 1065 | - | 0.7321 | |
| | 356.0 | 1068 | - | 0.7307 | |
| | 357.0 | 1071 | - | 0.7307 | |
| | 358.0 | 1074 | - | 0.7309 | |
| | 359.0 | 1077 | - | 0.7311 | |
| | 360.0 | 1080 | - | 0.7312 | |
| | 361.0 | 1083 | - | 0.7318 | |
| | 362.0 | 1086 | - | 0.7319 | |
| | 363.0 | 1089 | - | 0.7318 | |
| | 364.0 | 1092 | - | 0.7319 | |
| | 365.0 | 1095 | - | 0.7319 | |
| | 366.0 | 1098 | - | 0.7334 | |
| | 367.0 | 1101 | - | 0.7329 | |
| | 368.0 | 1104 | - | 0.7314 | |
| | 369.0 | 1107 | - | 0.7314 | |
| | 370.0 | 1110 | - | 0.7314 | |
| | 371.0 | 1113 | - | 0.7315 | |
| | 372.0 | 1116 | - | 0.7320 | |
| | 373.0 | 1119 | - | 0.7335 | |
| | 374.0 | 1122 | - | 0.7334 | |
| | 375.0 | 1125 | - | 0.7334 | |
| | 376.0 | 1128 | - | 0.7329 | |
| | 377.0 | 1131 | - | 0.7319 | |
| | 378.0 | 1134 | - | 0.7334 | |
| | 379.0 | 1137 | - | 0.7334 | |
| | 380.0 | 1140 | - | 0.7333 | |
| | 381.0 | 1143 | - | 0.7332 | |
| | 382.0 | 1146 | - | 0.7333 | |
| | 383.0 | 1149 | - | 0.7344 | |
| | 384.0 | 1152 | - | 0.7329 | |
| | 385.0 | 1155 | - | 0.7329 | |
| | 386.0 | 1158 | - | 0.7326 | |
| | 387.0 | 1161 | - | 0.7327 | |
| | 388.0 | 1164 | - | 0.7309 | |
| | 389.0 | 1167 | - | 0.7327 | |
| | 390.0 | 1170 | - | 0.7320 | |
| | 391.0 | 1173 | - | 0.7321 | |
| | 392.0 | 1176 | - | 0.7332 | |
| | 393.0 | 1179 | - | 0.7332 | |
| | 394.0 | 1182 | - | 0.7315 | |
| | 395.0 | 1185 | - | 0.7351 | |
| | 396.0 | 1188 | - | 0.7341 | |
| | 397.0 | 1191 | - | 0.7341 | |
| | 398.0 | 1194 | - | 0.7335 | |
| | 399.0 | 1197 | - | 0.7370 | |
| | 400.0 | 1200 | - | 0.7367 | |
| | 401.0 | 1203 | - | 0.7369 | |
| | 402.0 | 1206 | - | 0.7369 | |
| | 403.0 | 1209 | - | 0.7369 | |
| | 404.0 | 1212 | - | 0.7369 | |
| | 405.0 | 1215 | - | 0.7354 | |
| | 406.0 | 1218 | - | 0.7352 | |
| | 407.0 | 1221 | - | 0.7373 | |
| | 408.0 | 1224 | - | 0.7372 | |
| | 409.0 | 1227 | - | 0.7366 | |
| | 410.0 | 1230 | - | 0.7381 | |
| | 411.0 | 1233 | - | 0.7367 | |
| | 412.0 | 1236 | - | 0.7373 | |
| | 413.0 | 1239 | - | 0.7386 | |
| | 414.0 | 1242 | - | 0.7384 | |
| | 415.0 | 1245 | - | 0.7387 | |
| | 416.0 | 1248 | - | 0.7386 | |
| | 417.0 | 1251 | - | 0.7386 | |
| | 418.0 | 1254 | - | 0.7382 | |
| | 419.0 | 1257 | - | 0.7366 | |
| | 420.0 | 1260 | - | 0.7400 | |
| | 421.0 | 1263 | - | 0.7399 | |
| | 422.0 | 1266 | - | 0.7416 | |
| | 423.0 | 1269 | - | 0.7440 | |
| | 424.0 | 1272 | - | 0.7455 | |
| | 425.0 | 1275 | - | 0.7459 | |
| | 426.0 | 1278 | - | 0.7459 | |
| | 427.0 | 1281 | - | 0.7458 | |
| | 428.0 | 1284 | - | 0.7458 | |
| | 429.0 | 1287 | - | 0.7458 | |
| | 430.0 | 1290 | - | 0.7459 | |
| | 431.0 | 1293 | - | 0.7457 | |
| | 432.0 | 1296 | - | 0.7457 | |
| | 433.0 | 1299 | - | 0.7459 | |
| | 434.0 | 1302 | - | 0.7459 | |
| | 435.0 | 1305 | - | 0.7459 | |
| | 436.0 | 1308 | - | 0.7463 | |
| | 437.0 | 1311 | - | 0.7460 | |
| | 438.0 | 1314 | - | 0.7469 | |
| | 439.0 | 1317 | - | 0.7479 | |
| | 440.0 | 1320 | - | 0.7478 | |
| | 441.0 | 1323 | - | 0.7464 | |
| | 442.0 | 1326 | - | 0.7475 | |
| | 443.0 | 1329 | - | 0.7476 | |
| | 444.0 | 1332 | - | 0.7476 | |
| | 445.0 | 1335 | - | 0.7481 | |
| | 446.0 | 1338 | - | 0.7477 | |
| | 447.0 | 1341 | - | 0.7466 | |
| | 448.0 | 1344 | - | 0.7467 | |
| | 449.0 | 1347 | - | 0.7462 | |
| | 450.0 | 1350 | - | 0.7468 | |
| | 451.0 | 1353 | - | 0.7467 | |
| | 452.0 | 1356 | - | 0.7467 | |
| | 453.0 | 1359 | - | 0.7481 | |
| | 454.0 | 1362 | - | 0.7480 | |
| | 455.0 | 1365 | - | 0.7483 | |
| | 456.0 | 1368 | - | 0.7479 | |
| | 457.0 | 1371 | - | 0.7464 | |
| | 458.0 | 1374 | - | 0.7464 | |
| | 459.0 | 1377 | - | 0.7474 | |
| | 460.0 | 1380 | - | 0.7491 | |
| | 461.0 | 1383 | - | 0.7494 | |
| | 462.0 | 1386 | - | 0.7495 | |
| | 463.0 | 1389 | - | 0.7491 | |
| | 464.0 | 1392 | - | 0.7496 | |
| | 465.0 | 1395 | - | 0.7497 | |
| | 466.0 | 1398 | - | 0.7511 | |
| | 467.0 | 1401 | - | 0.7511 | |
| | 468.0 | 1404 | - | 0.7515 | |
| | 469.0 | 1407 | - | 0.7515 | |
| | 470.0 | 1410 | - | 0.7511 | |
| | 471.0 | 1413 | - | 0.7511 | |
| | 472.0 | 1416 | - | 0.7493 | |
| | 473.0 | 1419 | - | 0.7491 | |
| | 474.0 | 1422 | - | 0.7496 | |
| | 475.0 | 1425 | - | 0.7496 | |
| | 476.0 | 1428 | - | 0.7495 | |
| | 477.0 | 1431 | - | 0.7494 | |
| | 478.0 | 1434 | - | 0.7493 | |
| | 479.0 | 1437 | - | 0.7495 | |
| | 480.0 | 1440 | - | 0.7508 | |
| | 481.0 | 1443 | - | 0.7509 | |
| | 482.0 | 1446 | - | 0.7507 | |
| | 483.0 | 1449 | - | 0.7501 | |
| | 484.0 | 1452 | - | 0.7487 | |
| | 485.0 | 1455 | - | 0.7493 | |
| | 486.0 | 1458 | - | 0.7514 | |
| | 487.0 | 1461 | - | 0.7513 | |
| | 488.0 | 1464 | - | 0.7500 | |
| | 489.0 | 1467 | - | 0.7502 | |
| | 490.0 | 1470 | - | 0.7501 | |
| | 491.0 | 1473 | - | 0.7504 | |
| | 492.0 | 1476 | - | 0.7503 | |
| | 493.0 | 1479 | - | 0.7489 | |
| | 494.0 | 1482 | - | 0.7491 | |
| | 495.0 | 1485 | - | 0.7489 | |
| | 496.0 | 1488 | - | 0.7506 | |
| | 497.0 | 1491 | - | 0.7506 | |
| | 498.0 | 1494 | - | 0.7504 | |
| | 499.0 | 1497 | - | 0.7504 | |
| | 500.0 | 1500 | 2.688 | 0.7503 | |
| | 501.0 | 1503 | - | 0.7503 | |
| | 502.0 | 1506 | - | 0.7504 | |
| | 503.0 | 1509 | - | 0.7519 | |
| | 504.0 | 1512 | - | 0.7522 | |
| | 505.0 | 1515 | - | 0.7527 | |
| | 506.0 | 1518 | - | 0.7526 | |
| | 507.0 | 1521 | - | 0.7528 | |
| | 508.0 | 1524 | - | 0.7527 | |
| | 509.0 | 1527 | - | 0.7527 | |
| | 510.0 | 1530 | - | 0.7525 | |
| | 511.0 | 1533 | - | 0.7519 | |
| | 512.0 | 1536 | - | 0.7527 | |
| | 513.0 | 1539 | - | 0.7533 | |
| | 514.0 | 1542 | - | 0.7533 | |
| | 515.0 | 1545 | - | 0.7533 | |
| | 516.0 | 1548 | - | 0.7538 | |
| | 517.0 | 1551 | - | 0.7538 | |
| | 518.0 | 1554 | - | 0.7534 | |
| | 519.0 | 1557 | - | 0.7538 | |
| | 520.0 | 1560 | - | 0.7539 | |
| | 521.0 | 1563 | - | 0.7541 | |
| | 522.0 | 1566 | - | 0.7538 | |
| | 523.0 | 1569 | - | 0.7535 | |
| | 524.0 | 1572 | - | 0.7516 | |
| | 525.0 | 1575 | - | 0.7530 | |
| | 526.0 | 1578 | - | 0.7530 | |
| | 527.0 | 1581 | - | 0.7538 | |
| | 528.0 | 1584 | - | 0.7573 | |
| | 529.0 | 1587 | - | 0.7573 | |
| | 530.0 | 1590 | - | 0.7570 | |
| | 531.0 | 1593 | - | 0.7585 | |
| | 532.0 | 1596 | - | 0.7584 | |
| | 533.0 | 1599 | - | 0.7588 | |
| | 534.0 | 1602 | - | 0.7588 | |
| | 535.0 | 1605 | - | 0.7588 | |
| | 536.0 | 1608 | - | 0.7584 | |
| | 537.0 | 1611 | - | 0.7569 | |
| | 538.0 | 1614 | - | 0.7572 | |
| | 539.0 | 1617 | - | 0.7587 | |
| | 540.0 | 1620 | - | 0.7582 | |
| | 541.0 | 1623 | - | 0.7586 | |
| | 542.0 | 1626 | - | 0.7587 | |
| | 543.0 | 1629 | - | 0.7633 | |
| | 544.0 | 1632 | - | 0.7629 | |
| | 545.0 | 1635 | - | 0.7627 | |
| | 546.0 | 1638 | - | 0.7624 | |
| | 547.0 | 1641 | - | 0.7621 | |
| | 548.0 | 1644 | - | 0.7626 | |
| | 549.0 | 1647 | - | 0.7625 | |
| | 550.0 | 1650 | - | 0.7610 | |
| | 551.0 | 1653 | - | 0.7630 | |
| | 552.0 | 1656 | - | 0.7630 | |
| | 553.0 | 1659 | - | 0.7629 | |
| | 554.0 | 1662 | - | 0.7659 | |
| | 555.0 | 1665 | - | 0.7644 | |
| | 556.0 | 1668 | - | 0.7648 | |
| | 557.0 | 1671 | - | 0.7650 | |
| | 558.0 | 1674 | - | 0.7645 | |
| | 559.0 | 1677 | - | 0.7643 | |
| | 560.0 | 1680 | - | 0.7646 | |
| | 561.0 | 1683 | - | 0.7646 | |
| | 562.0 | 1686 | - | 0.7636 | |
| | 563.0 | 1689 | - | 0.7621 | |
| | 564.0 | 1692 | - | 0.7624 | |
| | 565.0 | 1695 | - | 0.7644 | |
| | 566.0 | 1698 | - | 0.7657 | |
| | 567.0 | 1701 | - | 0.7663 | |
| | 568.0 | 1704 | - | 0.7645 | |
| | 569.0 | 1707 | - | 0.7640 | |
| | 570.0 | 1710 | - | 0.7639 | |
| | 571.0 | 1713 | - | 0.7657 | |
| | 572.0 | 1716 | - | 0.7663 | |
| | 573.0 | 1719 | - | 0.7648 | |
| | 574.0 | 1722 | - | 0.7649 | |
| | 575.0 | 1725 | - | 0.7651 | |
| | 576.0 | 1728 | - | 0.7648 | |
| | 577.0 | 1731 | - | 0.7643 | |
| | 578.0 | 1734 | - | 0.7643 | |
| | 579.0 | 1737 | - | 0.7647 | |
| | 580.0 | 1740 | - | 0.7648 | |
| | 581.0 | 1743 | - | 0.7664 | |
| | 582.0 | 1746 | - | 0.7679 | |
| | 583.0 | 1749 | - | 0.7682 | |
| | 584.0 | 1752 | - | 0.7652 | |
| | 585.0 | 1755 | - | 0.7652 | |
| | 586.0 | 1758 | - | 0.7638 | |
| | 587.0 | 1761 | - | 0.7637 | |
| | 588.0 | 1764 | - | 0.7638 | |
| | 589.0 | 1767 | - | 0.7653 | |
| | 590.0 | 1770 | - | 0.7653 | |
| | 591.0 | 1773 | - | 0.7652 | |
| | 592.0 | 1776 | - | 0.7631 | |
| | 593.0 | 1779 | - | 0.7632 | |
| | 594.0 | 1782 | - | 0.7629 | |
| | 595.0 | 1785 | - | 0.7660 | |
| | 596.0 | 1788 | - | 0.7677 | |
| | 597.0 | 1791 | - | 0.7644 | |
| | 598.0 | 1794 | - | 0.7628 | |
| | 599.0 | 1797 | - | 0.7628 | |
| | 600.0 | 1800 | - | 0.7629 | |
| | 601.0 | 1803 | - | 0.7643 | |
| | 602.0 | 1806 | - | 0.7657 | |
| | 603.0 | 1809 | - | 0.7663 | |
| | 604.0 | 1812 | - | 0.7656 | |
| | 605.0 | 1815 | - | 0.7656 | |
| | 606.0 | 1818 | - | 0.7638 | |
| | 607.0 | 1821 | - | 0.7639 | |
| | 608.0 | 1824 | - | 0.7642 | |
| | 609.0 | 1827 | - | 0.7644 | |
| | 610.0 | 1830 | - | 0.7642 | |
| | 611.0 | 1833 | - | 0.7643 | |
| | 612.0 | 1836 | - | 0.7643 | |
| | 613.0 | 1839 | - | 0.7643 | |
| | 614.0 | 1842 | - | 0.7659 | |
| | 615.0 | 1845 | - | 0.7660 | |
| | 616.0 | 1848 | - | 0.7642 | |
| | 617.0 | 1851 | - | 0.7645 | |
| | 618.0 | 1854 | - | 0.7630 | |
| | 619.0 | 1857 | - | 0.7630 | |
| | 620.0 | 1860 | - | 0.7643 | |
| | 621.0 | 1863 | - | 0.7643 | |
| | 622.0 | 1866 | - | 0.7640 | |
| | 623.0 | 1869 | - | 0.7640 | |
| | 624.0 | 1872 | - | 0.7641 | |
| | 625.0 | 1875 | - | 0.7641 | |
| | 626.0 | 1878 | - | 0.7642 | |
| | 627.0 | 1881 | - | 0.7641 | |
| | 628.0 | 1884 | - | 0.7655 | |
| | 629.0 | 1887 | - | 0.7654 | |
| | 630.0 | 1890 | - | 0.7654 | |
| | 631.0 | 1893 | - | 0.7653 | |
| | 632.0 | 1896 | - | 0.7638 | |
| | 633.0 | 1899 | - | 0.7655 | |
| | 634.0 | 1902 | - | 0.7656 | |
| | 635.0 | 1905 | - | 0.7657 | |
| | 636.0 | 1908 | - | 0.7659 | |
| | 637.0 | 1911 | - | 0.7661 | |
| | 638.0 | 1914 | - | 0.7661 | |
| | 639.0 | 1917 | - | 0.7664 | |
| | 640.0 | 1920 | - | 0.7667 | |
| | 641.0 | 1923 | - | 0.7665 | |
| | 642.0 | 1926 | - | 0.7664 | |
| | 643.0 | 1929 | - | 0.7661 | |
| | 644.0 | 1932 | - | 0.7661 | |
| | 645.0 | 1935 | - | 0.7651 | |
| | 646.0 | 1938 | - | 0.7652 | |
| | 647.0 | 1941 | - | 0.7659 | |
| | 648.0 | 1944 | - | 0.7659 | |
| | 649.0 | 1947 | - | 0.7657 | |
| | 650.0 | 1950 | - | 0.7657 | |
| | 651.0 | 1953 | - | 0.7659 | |
| | 652.0 | 1956 | - | 0.7660 | |
| | 653.0 | 1959 | - | 0.7662 | |
| | 654.0 | 1962 | - | 0.7661 | |
| | 655.0 | 1965 | - | 0.7662 | |
| | 656.0 | 1968 | - | 0.7658 | |
| | 657.0 | 1971 | - | 0.7659 | |
| | 658.0 | 1974 | - | 0.7675 | |
| | 659.0 | 1977 | - | 0.7673 | |
| | 660.0 | 1980 | - | 0.7670 | |
| | 661.0 | 1983 | - | 0.7663 | |
| | 662.0 | 1986 | - | 0.7664 | |
| | 663.0 | 1989 | - | 0.7654 | |
| | 664.0 | 1992 | - | 0.7654 | |
| | 665.0 | 1995 | - | 0.7658 | |
| | 666.0 | 1998 | - | 0.7658 | |
| | 666.6667 | 2000 | 2.5178 | - | |
| | 667.0 | 2001 | - | 0.7673 | |
| | 668.0 | 2004 | - | 0.7673 | |
| | 669.0 | 2007 | - | 0.7670 | |
| | 670.0 | 2010 | - | 0.7691 | |
| | 671.0 | 2013 | - | 0.7691 | |
| | 672.0 | 2016 | - | 0.7676 | |
| | 673.0 | 2019 | - | 0.7670 | |
| | 674.0 | 2022 | - | 0.7669 | |
| | 675.0 | 2025 | - | 0.7664 | |
| | 676.0 | 2028 | - | 0.7671 | |
| | 677.0 | 2031 | - | 0.7674 | |
| | 678.0 | 2034 | - | 0.7674 | |
| | 679.0 | 2037 | - | 0.7674 | |
| | 680.0 | 2040 | - | 0.7637 | |
| | 681.0 | 2043 | - | 0.7641 | |
| | 682.0 | 2046 | - | 0.7642 | |
| | 683.0 | 2049 | - | 0.7626 | |
| | 684.0 | 2052 | - | 0.7644 | |
| | 685.0 | 2055 | - | 0.7640 | |
| | 686.0 | 2058 | - | 0.7656 | |
| | 687.0 | 2061 | - | 0.7656 | |
| | 688.0 | 2064 | - | 0.7666 | |
| | 689.0 | 2067 | - | 0.7669 | |
| | 690.0 | 2070 | - | 0.7665 | |
| | 691.0 | 2073 | - | 0.7668 | |
| | 692.0 | 2076 | - | 0.7671 | |
| | 693.0 | 2079 | - | 0.7674 | |
| | 694.0 | 2082 | - | 0.7677 | |
| | 695.0 | 2085 | - | 0.7671 | |
| | 696.0 | 2088 | - | 0.7669 | |
| | 697.0 | 2091 | - | 0.7664 | |
| | 698.0 | 2094 | - | 0.7671 | |
| | 699.0 | 2097 | - | 0.7665 | |
| | 700.0 | 2100 | - | 0.7663 | |
| | 701.0 | 2103 | - | 0.7667 | |
| | 702.0 | 2106 | - | 0.7668 | |
| | 703.0 | 2109 | - | 0.7672 | |
| | 704.0 | 2112 | - | 0.7673 | |
| | 705.0 | 2115 | - | 0.7672 | |
| | 706.0 | 2118 | - | 0.7670 | |
| | 707.0 | 2121 | - | 0.7669 | |
| | 708.0 | 2124 | - | 0.7669 | |
| | 709.0 | 2127 | - | 0.7667 | |
| | 710.0 | 2130 | - | 0.7664 | |
| | 711.0 | 2133 | - | 0.7647 | |
| | 712.0 | 2136 | - | 0.7646 | |
| | 713.0 | 2139 | - | 0.7647 | |
| | 714.0 | 2142 | - | 0.7647 | |
| | 715.0 | 2145 | - | 0.7649 | |
| | 716.0 | 2148 | - | 0.7665 | |
| | 717.0 | 2151 | - | 0.7666 | |
| | 718.0 | 2154 | - | 0.7667 | |
| | 719.0 | 2157 | - | 0.7666 | |
| | 720.0 | 2160 | - | 0.7667 | |
| | 721.0 | 2163 | - | 0.7666 | |
| | 722.0 | 2166 | - | 0.7665 | |
| | 723.0 | 2169 | - | 0.7652 | |
| | 724.0 | 2172 | - | 0.7666 | |
| | 725.0 | 2175 | - | 0.7665 | |
| | 726.0 | 2178 | - | 0.7666 | |
| | 727.0 | 2181 | - | 0.7665 | |
| | 728.0 | 2184 | - | 0.7668 | |
| | 729.0 | 2187 | - | 0.7665 | |
| | 730.0 | 2190 | - | 0.7648 | |
| | 731.0 | 2193 | - | 0.7665 | |
| | 732.0 | 2196 | - | 0.7665 | |
| | 733.0 | 2199 | - | 0.7666 | |
| | 734.0 | 2202 | - | 0.7669 | |
| | 735.0 | 2205 | - | 0.7666 | |
| | 736.0 | 2208 | - | 0.7666 | |
| | 737.0 | 2211 | - | 0.7680 | |
| | 738.0 | 2214 | - | 0.7685 | |
| | 739.0 | 2217 | - | 0.7671 | |
| | 740.0 | 2220 | - | 0.7677 | |
| | 741.0 | 2223 | - | 0.7672 | |
| | 742.0 | 2226 | - | 0.7671 | |
| | 743.0 | 2229 | - | 0.7688 | |
| | 744.0 | 2232 | - | 0.7688 | |
| | 745.0 | 2235 | - | 0.7691 | |
| | 746.0 | 2238 | - | 0.7690 | |
| | 747.0 | 2241 | - | 0.7687 | |
| | 748.0 | 2244 | - | 0.7704 | |
| | 749.0 | 2247 | - | 0.7704 | |
| | 750.0 | 2250 | - | 0.7702 | |
| | 751.0 | 2253 | - | 0.7697 | |
| | 752.0 | 2256 | - | 0.7686 | |
| | 753.0 | 2259 | - | 0.7700 | |
| | 754.0 | 2262 | - | 0.7700 | |
| | 755.0 | 2265 | - | 0.7702 | |
| | 756.0 | 2268 | - | 0.7707 | |
| | 757.0 | 2271 | - | 0.7685 | |
| | 758.0 | 2274 | - | 0.7685 | |
| | 759.0 | 2277 | - | 0.7686 | |
| | 760.0 | 2280 | - | 0.7679 | |
| | 761.0 | 2283 | - | 0.7682 | |
| | 762.0 | 2286 | - | 0.7674 | |
| | 763.0 | 2289 | - | 0.7676 | |
| | 764.0 | 2292 | - | 0.7675 | |
| | 765.0 | 2295 | - | 0.7703 | |
| | 766.0 | 2298 | - | 0.7706 | |
| | 767.0 | 2301 | - | 0.7714 | |
| | 768.0 | 2304 | - | 0.7716 | |
| | 769.0 | 2307 | - | 0.7717 | |
| | 770.0 | 2310 | - | 0.7717 | |
| | 771.0 | 2313 | - | 0.7717 | |
| | 772.0 | 2316 | - | 0.7720 | |
| | 773.0 | 2319 | - | 0.7719 | |
| | 774.0 | 2322 | - | 0.7701 | |
| | 775.0 | 2325 | - | 0.7701 | |
| | 776.0 | 2328 | - | 0.7701 | |
| | 777.0 | 2331 | - | 0.7698 | |
| | 778.0 | 2334 | - | 0.7697 | |
| | 779.0 | 2337 | - | 0.7692 | |
| | 780.0 | 2340 | - | 0.7689 | |
| | 781.0 | 2343 | - | 0.7687 | |
| | 782.0 | 2346 | - | 0.7685 | |
| | 783.0 | 2349 | - | 0.7688 | |
| | 784.0 | 2352 | - | 0.7695 | |
| | 785.0 | 2355 | - | 0.7696 | |
| | 786.0 | 2358 | - | 0.7683 | |
| | 787.0 | 2361 | - | 0.7700 | |
| | 788.0 | 2364 | - | 0.7703 | |
| | 789.0 | 2367 | - | 0.7704 | |
| | 790.0 | 2370 | - | 0.7689 | |
| | 791.0 | 2373 | - | 0.7689 | |
| | 792.0 | 2376 | - | 0.7700 | |
| | 793.0 | 2379 | - | 0.7683 | |
| | 794.0 | 2382 | - | 0.7681 | |
| | 795.0 | 2385 | - | 0.7678 | |
| | 796.0 | 2388 | - | 0.7678 | |
| | 797.0 | 2391 | - | 0.7678 | |
| | 798.0 | 2394 | - | 0.7694 | |
| | 799.0 | 2397 | - | 0.7696 | |
| | 800.0 | 2400 | - | 0.7714 | |
| | 801.0 | 2403 | - | 0.7715 | |
| | 802.0 | 2406 | - | 0.7701 | |
| | 803.0 | 2409 | - | 0.7680 | |
| | 804.0 | 2412 | - | 0.7674 | |
| | 805.0 | 2415 | - | 0.7670 | |
| | 806.0 | 2418 | - | 0.7670 | |
| | 807.0 | 2421 | - | 0.7669 | |
| | 808.0 | 2424 | - | 0.7670 | |
| | 809.0 | 2427 | - | 0.7669 | |
| | 810.0 | 2430 | - | 0.7670 | |
| | 811.0 | 2433 | - | 0.7670 | |
| | 812.0 | 2436 | - | 0.7675 | |
| | 813.0 | 2439 | - | 0.7681 | |
| | 814.0 | 2442 | - | 0.7684 | |
| | 815.0 | 2445 | - | 0.7686 | |
| | 816.0 | 2448 | - | 0.7688 | |
| | 817.0 | 2451 | - | 0.7693 | |
| | 818.0 | 2454 | - | 0.7678 | |
| | 819.0 | 2457 | - | 0.7675 | |
| | 820.0 | 2460 | - | 0.7677 | |
| | 821.0 | 2463 | - | 0.7688 | |
| | 822.0 | 2466 | - | 0.7689 | |
| | 823.0 | 2469 | - | 0.7701 | |
| | 824.0 | 2472 | - | 0.7699 | |
| | 825.0 | 2475 | - | 0.7711 | |
| | 826.0 | 2478 | - | 0.7710 | |
| | 827.0 | 2481 | - | 0.7716 | |
| | 828.0 | 2484 | - | 0.7716 | |
| | 829.0 | 2487 | - | 0.7719 | |
| | 830.0 | 2490 | - | 0.7718 | |
| | 831.0 | 2493 | - | 0.7720 | |
| | 832.0 | 2496 | - | 0.7724 | |
| | 833.0 | 2499 | - | 0.7724 | |
| | 833.3333 | 2500 | 2.4669 | - | |
| | 834.0 | 2502 | - | 0.7722 | |
| | 835.0 | 2505 | - | 0.7720 | |
| | 836.0 | 2508 | - | 0.7700 | |
| | 837.0 | 2511 | - | 0.7696 | |
| | 838.0 | 2514 | - | 0.7702 | |
| | 839.0 | 2517 | - | 0.7704 | |
| | 840.0 | 2520 | - | 0.7703 | |
| | 841.0 | 2523 | - | 0.7706 | |
| | 842.0 | 2526 | - | 0.7713 | |
| | 843.0 | 2529 | - | 0.7704 | |
| | 844.0 | 2532 | - | 0.7698 | |
| | 845.0 | 2535 | - | 0.7700 | |
| | 846.0 | 2538 | - | 0.7705 | |
| | 847.0 | 2541 | - | 0.7699 | |
| | 848.0 | 2544 | - | 0.7702 | |
| | 849.0 | 2547 | - | 0.7700 | |
| | 850.0 | 2550 | - | 0.7699 | |
| | 851.0 | 2553 | - | 0.7702 | |
| | 852.0 | 2556 | - | 0.7717 | |
| | 853.0 | 2559 | - | 0.7713 | |
| | 854.0 | 2562 | - | 0.7723 | |
| | 855.0 | 2565 | - | 0.7730 | |
| | 856.0 | 2568 | - | 0.7735 | |
| | 857.0 | 2571 | - | 0.7735 | |
| | 858.0 | 2574 | - | 0.7720 | |
| | 859.0 | 2577 | - | 0.7719 | |
| | 860.0 | 2580 | - | 0.7715 | |
| | 861.0 | 2583 | - | 0.7701 | |
| | 862.0 | 2586 | - | 0.7696 | |
| | 863.0 | 2589 | - | 0.7703 | |
| | 864.0 | 2592 | - | 0.7702 | |
| | 865.0 | 2595 | - | 0.7714 | |
| | 866.0 | 2598 | - | 0.7714 | |
| | 867.0 | 2601 | - | 0.7731 | |
| | 868.0 | 2604 | - | 0.7734 | |
| | 869.0 | 2607 | - | 0.7744 | |
| | 870.0 | 2610 | - | 0.7729 | |
| | 871.0 | 2613 | - | 0.7731 | |
| | 872.0 | 2616 | - | 0.7718 | |
| | 873.0 | 2619 | - | 0.7719 | |
| | 874.0 | 2622 | - | 0.7736 | |
| | 875.0 | 2625 | - | 0.7757 | |
| | 876.0 | 2628 | - | 0.7757 | |
| | 877.0 | 2631 | - | 0.7755 | |
| | 878.0 | 2634 | - | 0.7765 | |
| | 879.0 | 2637 | - | 0.7767 | |
| | 880.0 | 2640 | - | 0.7743 | |
| | 881.0 | 2643 | - | 0.7742 | |
| | 882.0 | 2646 | - | 0.7743 | |
| | 883.0 | 2649 | - | 0.7758 | |
| | 884.0 | 2652 | - | 0.7761 | |
| | 885.0 | 2655 | - | 0.7765 | |
| | 886.0 | 2658 | - | 0.7761 | |
| | 887.0 | 2661 | - | 0.7760 | |
| | 888.0 | 2664 | - | 0.7730 | |
| | 889.0 | 2667 | - | 0.7730 | |
| | 890.0 | 2670 | - | 0.7730 | |
| | 891.0 | 2673 | - | 0.7734 | |
| | 892.0 | 2676 | - | 0.7737 | |
| | 893.0 | 2679 | - | 0.7717 | |
| | 894.0 | 2682 | - | 0.7724 | |
| | 895.0 | 2685 | - | 0.7725 | |
| | 896.0 | 2688 | - | 0.7741 | |
| | 897.0 | 2691 | - | 0.7743 | |
| | 898.0 | 2694 | - | 0.7742 | |
| | 899.0 | 2697 | - | 0.7743 | |
| | 900.0 | 2700 | - | 0.7759 | |
| | 901.0 | 2703 | - | 0.7758 | |
| | 902.0 | 2706 | - | 0.7765 | |
| | 903.0 | 2709 | - | 0.7778 | |
| | 904.0 | 2712 | - | 0.7779 | |
| | 905.0 | 2715 | - | 0.7788 | |
| | 906.0 | 2718 | - | 0.7773 | |
| | 907.0 | 2721 | - | 0.7773 | |
| | 908.0 | 2724 | - | 0.7757 | |
| | 909.0 | 2727 | - | 0.7752 | |
| | 910.0 | 2730 | - | 0.7766 | |
| | 911.0 | 2733 | - | 0.7758 | |
| | 912.0 | 2736 | - | 0.7760 | |
| | 913.0 | 2739 | - | 0.7758 | |
| | 914.0 | 2742 | - | 0.7745 | |
| | 915.0 | 2745 | - | 0.7747 | |
| | 916.0 | 2748 | - | 0.7727 | |
| | 917.0 | 2751 | - | 0.7729 | |
| | 918.0 | 2754 | - | 0.7735 | |
| | 919.0 | 2757 | - | 0.7735 | |
| | 920.0 | 2760 | - | 0.7736 | |
| | 921.0 | 2763 | - | 0.7736 | |
| | 922.0 | 2766 | - | 0.7737 | |
| | 923.0 | 2769 | - | 0.7736 | |
| | 924.0 | 2772 | - | 0.7736 | |
| | 925.0 | 2775 | - | 0.7734 | |
| | 926.0 | 2778 | - | 0.7723 | |
| | 927.0 | 2781 | - | 0.7722 | |
| | 928.0 | 2784 | - | 0.7721 | |
| | 929.0 | 2787 | - | 0.7729 | |
| | 930.0 | 2790 | - | 0.7726 | |
| | 931.0 | 2793 | - | 0.7726 | |
| | 932.0 | 2796 | - | 0.7722 | |
| | 933.0 | 2799 | - | 0.7722 | |
| | 934.0 | 2802 | - | 0.7706 | |
| | 935.0 | 2805 | - | 0.7722 | |
| | 936.0 | 2808 | - | 0.7722 | |
| | 937.0 | 2811 | - | 0.7703 | |
| | 938.0 | 2814 | - | 0.7720 | |
| | 939.0 | 2817 | - | 0.7725 | |
| | 940.0 | 2820 | - | 0.7724 | |
| | 941.0 | 2823 | - | 0.7728 | |
| | 942.0 | 2826 | - | 0.7734 | |
| | 943.0 | 2829 | - | 0.7740 | |
| | 944.0 | 2832 | - | 0.7732 | |
| | 945.0 | 2835 | - | 0.7733 | |
| | 946.0 | 2838 | - | 0.7729 | |
| | 947.0 | 2841 | - | 0.7725 | |
| | 948.0 | 2844 | - | 0.7724 | |
| | 949.0 | 2847 | - | 0.7739 | |
| | 950.0 | 2850 | - | 0.7741 | |
| | 951.0 | 2853 | - | 0.7754 | |
| | 952.0 | 2856 | - | 0.7759 | |
| | 953.0 | 2859 | - | 0.7752 | |
| | 954.0 | 2862 | - | 0.7745 | |
| | 955.0 | 2865 | - | 0.7753 | |
| | 956.0 | 2868 | - | 0.7754 | |
| | 957.0 | 2871 | - | 0.7750 | |
| | 958.0 | 2874 | - | 0.7761 | |
| | 959.0 | 2877 | - | 0.7761 | |
| | 960.0 | 2880 | - | 0.7745 | |
| | 961.0 | 2883 | - | 0.7741 | |
| | 962.0 | 2886 | - | 0.7740 | |
| | 963.0 | 2889 | - | 0.7727 | |
| | 964.0 | 2892 | - | 0.7727 | |
| | 965.0 | 2895 | - | 0.7730 | |
| | 966.0 | 2898 | - | 0.7733 | |
| | 967.0 | 2901 | - | 0.7735 | |
| | 968.0 | 2904 | - | 0.7733 | |
| | 969.0 | 2907 | - | 0.7750 | |
| | 970.0 | 2910 | - | 0.7756 | |
| | 971.0 | 2913 | - | 0.7763 | |
| | 972.0 | 2916 | - | 0.7767 | |
| | 973.0 | 2919 | - | 0.7759 | |
| | 974.0 | 2922 | - | 0.7757 | |
| | 975.0 | 2925 | - | 0.7752 | |
| | 976.0 | 2928 | - | 0.7765 | |
| | 977.0 | 2931 | - | 0.7762 | |
| | 978.0 | 2934 | - | 0.7761 | |
| | 979.0 | 2937 | - | 0.7767 | |
| | 980.0 | 2940 | - | 0.7763 | |
| | 981.0 | 2943 | - | 0.7747 | |
| | 982.0 | 2946 | - | 0.7748 | |
| | 983.0 | 2949 | - | 0.7755 | |
| | 984.0 | 2952 | - | 0.7756 | |
| | 985.0 | 2955 | - | 0.7756 | |
| | 986.0 | 2958 | - | 0.7757 | |
| | 987.0 | 2961 | - | 0.7751 | |
| | 988.0 | 2964 | - | 0.7753 | |
| | 989.0 | 2967 | - | 0.7754 | |
| | 990.0 | 2970 | - | 0.7753 | |
| | 991.0 | 2973 | - | 0.7750 | |
| | 992.0 | 2976 | - | 0.7753 | |
| | 993.0 | 2979 | - | 0.7771 | |
| | 994.0 | 2982 | - | 0.7739 | |
| | 995.0 | 2985 | - | 0.7719 | |
| | 996.0 | 2988 | - | 0.7719 | |
| | 997.0 | 2991 | - | 0.7736 | |
| | 998.0 | 2994 | - | 0.7739 | |
| | 999.0 | 2997 | - | 0.7745 | |
| | 1000.0 | 3000 | 2.4448 | 0.7730 | |
| | 1001.0 | 3003 | - | 0.7730 | |
| | 1002.0 | 3006 | - | 0.7730 | |
| | 1003.0 | 3009 | - | 0.7730 | |
| | 1004.0 | 3012 | - | 0.7730 | |
| | 1005.0 | 3015 | - | 0.7730 | |
| | 1006.0 | 3018 | - | 0.7730 | |
| | 1007.0 | 3021 | - | 0.7730 | |
| | 1008.0 | 3024 | - | 0.7730 | |
| | 1009.0 | 3027 | - | 0.7730 | |
| | 1010.0 | 3030 | - | 0.7730 | |
| | 1011.0 | 3033 | - | 0.7730 | |
| | 1012.0 | 3036 | - | 0.7730 | |
| | 1013.0 | 3039 | - | 0.7730 | |
| | 1014.0 | 3042 | - | 0.7730 | |
| | 1015.0 | 3045 | - | 0.7730 | |
| | 1016.0 | 3048 | - | 0.7730 | |
| | 1017.0 | 3051 | - | 0.7730 | |
| | 1018.0 | 3054 | - | 0.7730 | |
| | 1019.0 | 3057 | - | 0.7730 | |
| | 1020.0 | 3060 | - | 0.7730 | |
| | 1021.0 | 3063 | - | 0.7730 | |
| | 1022.0 | 3066 | - | 0.7730 | |
| | 1023.0 | 3069 | - | 0.7730 | |
| | 1024.0 | 3072 | - | 0.7730 | |
| | 1025.0 | 3075 | - | 0.7730 | |
| | 1026.0 | 3078 | - | 0.7730 | |
| | 1027.0 | 3081 | - | 0.7730 | |
| | 1028.0 | 3084 | - | 0.7730 | |
| | 1029.0 | 3087 | - | 0.7730 | |
| | 1030.0 | 3090 | - | 0.7730 | |
| | 1031.0 | 3093 | - | 0.7730 | |
| | 1032.0 | 3096 | - | 0.7730 | |
| | 1033.0 | 3099 | - | 0.7730 | |
| | 1034.0 | 3102 | - | 0.7730 | |
| | 1035.0 | 3105 | - | 0.7730 | |
| | 1036.0 | 3108 | - | 0.7730 | |
| | 1037.0 | 3111 | - | 0.7730 | |
| | 1038.0 | 3114 | - | 0.7730 | |
| | 1039.0 | 3117 | - | 0.7730 | |
| | 1040.0 | 3120 | - | 0.7730 | |
| | 1041.0 | 3123 | - | 0.7730 | |
| | 1042.0 | 3126 | - | 0.7730 | |
| | 1043.0 | 3129 | - | 0.7730 | |
| | 1044.0 | 3132 | - | 0.7730 | |
| | 1045.0 | 3135 | - | 0.7730 | |
| | 1046.0 | 3138 | - | 0.7730 | |
| | 1047.0 | 3141 | - | 0.7730 | |
| | 1048.0 | 3144 | - | 0.7730 | |
| | 1049.0 | 3147 | - | 0.7730 | |
| | 1050.0 | 3150 | - | 0.7730 | |
| | 1051.0 | 3153 | - | 0.7730 | |
| | 1052.0 | 3156 | - | 0.7730 | |
| | 1053.0 | 3159 | - | 0.7730 | |
| | 1054.0 | 3162 | - | 0.7730 | |
| | 1055.0 | 3165 | - | 0.7730 | |
| | 1056.0 | 3168 | - | 0.7730 | |
| | 1057.0 | 3171 | - | 0.7730 | |
| | 1058.0 | 3174 | - | 0.7730 | |
| | 1059.0 | 3177 | - | 0.7730 | |
| | 1060.0 | 3180 | - | 0.7730 | |
| | 1061.0 | 3183 | - | 0.7730 | |
| | 1062.0 | 3186 | - | 0.7730 | |
| | 1063.0 | 3189 | - | 0.7730 | |
| | 1064.0 | 3192 | - | 0.7730 | |
| | 1065.0 | 3195 | - | 0.7730 | |
| | 1066.0 | 3198 | - | 0.7730 | |
| | 1067.0 | 3201 | - | 0.7730 | |
| | 1068.0 | 3204 | - | 0.7730 | |
| | 1069.0 | 3207 | - | 0.7730 | |
| | 1070.0 | 3210 | - | 0.7730 | |
| | 1071.0 | 3213 | - | 0.7730 | |
| | 1072.0 | 3216 | - | 0.7730 | |
| | 1073.0 | 3219 | - | 0.7730 | |
| | 1074.0 | 3222 | - | 0.7730 | |
| | 1075.0 | 3225 | - | 0.7730 | |
| | 1076.0 | 3228 | - | 0.7730 | |
| | 1077.0 | 3231 | - | 0.7730 | |
| | 1078.0 | 3234 | - | 0.7730 | |
| | 1079.0 | 3237 | - | 0.7730 | |
| | 1080.0 | 3240 | - | 0.7730 | |
| | 1081.0 | 3243 | - | 0.7730 | |
| | 1082.0 | 3246 | - | 0.7730 | |
| | 1083.0 | 3249 | - | 0.7730 | |
| | 1084.0 | 3252 | - | 0.7730 | |
| | 1085.0 | 3255 | - | 0.7730 | |
| | 1086.0 | 3258 | - | 0.7730 | |
| | 1087.0 | 3261 | - | 0.7730 | |
| | 1088.0 | 3264 | - | 0.7730 | |
| | 1089.0 | 3267 | - | 0.7730 | |
| | 1090.0 | 3270 | - | 0.7730 | |
| | 1091.0 | 3273 | - | 0.7730 | |
| | 1092.0 | 3276 | - | 0.7730 | |
| | 1093.0 | 3279 | - | 0.7730 | |
| | 1094.0 | 3282 | - | 0.7730 | |
| | 1095.0 | 3285 | - | 0.7730 | |
| | 1096.0 | 3288 | - | 0.7730 | |
| | 1097.0 | 3291 | - | 0.7730 | |
| | 1098.0 | 3294 | - | 0.7730 | |
| | 1099.0 | 3297 | - | 0.7730 | |
| | 1100.0 | 3300 | - | 0.7730 | |
| | 1101.0 | 3303 | - | 0.7730 | |
| | 1102.0 | 3306 | - | 0.7730 | |
| | 1103.0 | 3309 | - | 0.7730 | |
| | 1104.0 | 3312 | - | 0.7730 | |
| | 1105.0 | 3315 | - | 0.7730 | |
| | 1106.0 | 3318 | - | 0.7730 | |
| | 1107.0 | 3321 | - | 0.7730 | |
| | 1108.0 | 3324 | - | 0.7730 | |
| | 1109.0 | 3327 | - | 0.7730 | |
| | 1110.0 | 3330 | - | 0.7730 | |
| | 1111.0 | 3333 | - | 0.7730 | |
| | 1112.0 | 3336 | - | 0.7730 | |
| | 1113.0 | 3339 | - | 0.7730 | |
| | 1114.0 | 3342 | - | 0.7730 | |
| | 1115.0 | 3345 | - | 0.7730 | |
| | 1116.0 | 3348 | - | 0.7730 | |
| | 1117.0 | 3351 | - | 0.7730 | |
| | 1118.0 | 3354 | - | 0.7730 | |
| | 1119.0 | 3357 | - | 0.7730 | |
| | 1120.0 | 3360 | - | 0.7730 | |
| | 1121.0 | 3363 | - | 0.7730 | |
| | 1122.0 | 3366 | - | 0.7730 | |
| | 1123.0 | 3369 | - | 0.7730 | |
| | 1124.0 | 3372 | - | 0.7730 | |
| | 1125.0 | 3375 | - | 0.7730 | |
| | 1126.0 | 3378 | - | 0.7730 | |
| | 1127.0 | 3381 | - | 0.7730 | |
| | 1128.0 | 3384 | - | 0.7730 | |
| | 1129.0 | 3387 | - | 0.7730 | |
| | 1130.0 | 3390 | - | 0.7730 | |
| | 1131.0 | 3393 | - | 0.7730 | |
| | 1132.0 | 3396 | - | 0.7730 | |
| | 1133.0 | 3399 | - | 0.7730 | |
| | 1134.0 | 3402 | - | 0.7730 | |
| | 1135.0 | 3405 | - | 0.7730 | |
| | 1136.0 | 3408 | - | 0.7730 | |
| | 1137.0 | 3411 | - | 0.7730 | |
| | 1138.0 | 3414 | - | 0.7730 | |
| | 1139.0 | 3417 | - | 0.7730 | |
| | 1140.0 | 3420 | - | 0.7730 | |
| | 1141.0 | 3423 | - | 0.7730 | |
| | 1142.0 | 3426 | - | 0.7730 | |
| | 1143.0 | 3429 | - | 0.7730 | |
| | 1144.0 | 3432 | - | 0.7730 | |
| | 1145.0 | 3435 | - | 0.7730 | |
| | 1146.0 | 3438 | - | 0.7730 | |
| | 1147.0 | 3441 | - | 0.7730 | |
| | 1148.0 | 3444 | - | 0.7730 | |
| | 1149.0 | 3447 | - | 0.7730 | |
| | 1150.0 | 3450 | - | 0.7730 | |
| | 1151.0 | 3453 | - | 0.7730 | |
| | 1152.0 | 3456 | - | 0.7730 | |
| | 1153.0 | 3459 | - | 0.7730 | |
| | 1154.0 | 3462 | - | 0.7730 | |
| | 1155.0 | 3465 | - | 0.7730 | |
| | 1156.0 | 3468 | - | 0.7730 | |
| | 1157.0 | 3471 | - | 0.7730 | |
| | 1158.0 | 3474 | - | 0.7730 | |
| | 1159.0 | 3477 | - | 0.7730 | |
| | 1160.0 | 3480 | - | 0.7730 | |
| | 1161.0 | 3483 | - | 0.7730 | |
| | 1162.0 | 3486 | - | 0.7730 | |
| | 1163.0 | 3489 | - | 0.7730 | |
| | 1164.0 | 3492 | - | 0.7730 | |
| | 1165.0 | 3495 | - | 0.7730 | |
| | 1166.0 | 3498 | - | 0.7730 | |
| | 1166.6667 | 3500 | 2.4396 | - | |
| | 1167.0 | 3501 | - | 0.7730 | |
| | 1168.0 | 3504 | - | 0.7730 | |
| | 1169.0 | 3507 | - | 0.7730 | |
| | 1170.0 | 3510 | - | 0.7730 | |
| | 1171.0 | 3513 | - | 0.7730 | |
| | 1172.0 | 3516 | - | 0.7730 | |
| | 1173.0 | 3519 | - | 0.7730 | |
| | 1174.0 | 3522 | - | 0.7730 | |
| | 1175.0 | 3525 | - | 0.7730 | |
| | 1176.0 | 3528 | - | 0.7730 | |
| | 1177.0 | 3531 | - | 0.7730 | |
| | 1178.0 | 3534 | - | 0.7730 | |
| | 1179.0 | 3537 | - | 0.7730 | |
| | 1180.0 | 3540 | - | 0.7730 | |
| | 1181.0 | 3543 | - | 0.7730 | |
| | 1182.0 | 3546 | - | 0.7730 | |
| | 1183.0 | 3549 | - | 0.7730 | |
| | 1184.0 | 3552 | - | 0.7730 | |
| | 1185.0 | 3555 | - | 0.7730 | |
| | 1186.0 | 3558 | - | 0.7730 | |
| | 1187.0 | 3561 | - | 0.7730 | |
| | 1188.0 | 3564 | - | 0.7730 | |
| | 1189.0 | 3567 | - | 0.7730 | |
| | 1190.0 | 3570 | - | 0.7730 | |
| | 1191.0 | 3573 | - | 0.7730 | |
| | 1192.0 | 3576 | - | 0.7730 | |
| | 1193.0 | 3579 | - | 0.7730 | |
| | 1194.0 | 3582 | - | 0.7730 | |
| | 1195.0 | 3585 | - | 0.7730 | |
| | 1196.0 | 3588 | - | 0.7730 | |
| | 1197.0 | 3591 | - | 0.7730 | |
| | 1198.0 | 3594 | - | 0.7730 | |
| | 1199.0 | 3597 | - | 0.7730 | |
| | 1200.0 | 3600 | - | 0.7730 | |
| |
| </details> |
| |
| ### Framework Versions |
| - Python: 3.10.14 |
| - Sentence Transformers: 3.0.1 |
| - Transformers: 4.44.0 |
| - PyTorch: 2.4.0 |
| - Accelerate: 0.34.2 |
| - Datasets: 2.21.0 |
| - Tokenizers: 0.19.1 |
| |
| ## Citation |
| |
| ### BibTeX |
| |
| #### Sentence Transformers |
| ```bibtex |
| @inproceedings{reimers-2019-sentence-bert, |
| title = "Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks", |
| author = "Reimers, Nils and Gurevych, Iryna", |
| booktitle = "Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing", |
| month = "11", |
| year = "2019", |
| publisher = "Association for Computational Linguistics", |
| url = "https://arxiv.org/abs/1908.10084", |
| } |
| ``` |
| |
| #### MultipleNegativesRankingLoss |
| ```bibtex |
| @misc{henderson2017efficient, |
| title={Efficient Natural Language Response Suggestion for Smart Reply}, |
| author={Matthew Henderson and Rami Al-Rfou and Brian Strope and Yun-hsuan Sung and Laszlo Lukacs and Ruiqi Guo and Sanjiv Kumar and Balint Miklos and Ray Kurzweil}, |
| year={2017}, |
| eprint={1705.00652}, |
| archivePrefix={arXiv}, |
| primaryClass={cs.CL} |
| } |
| ``` |
| |
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