|
--- |
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base_model: cointegrated/rubert-tiny2 |
|
datasets: [] |
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language: [] |
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library_name: sentence-transformers |
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metrics: |
|
- cosine_accuracy@1 |
|
- cosine_accuracy@3 |
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- 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 |
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tags: |
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- sentence-transformers |
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- sentence-similarity |
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- feature-extraction |
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- generated_from_trainer |
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- dataset_size:1317 |
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- loss:MultipleNegativesRankingLoss |
|
widget: |
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- source_sentence: востановить лк |
|
sentences: |
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- Создайте, пожалуйста, обращение в ИТ поддержку на портале support |
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- Если руководитель не успел согласовать или не согласовать задачу по ЭЛН, БЛ автоматически |
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согласовывается |
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- '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 |
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добавочный номер 10100, нажмите * и подтвердите сброс пароля, нажав #. Обновленный |
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пароль отправляется по SMS.' |
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- source_sentence: Можно ли изменить период больничного по беременности и родам, если |
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в ЭЛН указаны другие периоды? |
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sentences: |
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- 'По процессу, после согласования заявки на УР, необходимо подписать доп. соглашение. |
|
Сотрудникам КЦ необходимо подписать дополнительное соглашение: - удаленно с помощью |
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обмена скан-копий или фото документа, а при невозможности – подтверждением по |
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электронной почте. Как только доп. соглашение любым образом подписывается, работник |
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отдела кадров снимает блокировку в SAP HR с доп. соглашения и Вам представляется |
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возможность создать график работы в ЛК.' |
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- Сотрудник может продолжить работу во время больничного по беременности и родам, |
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при этом ему будет выплачиваться заработная плата. Пособие по беременности и родам |
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будет рассчитано с фактической даты ухода в отпуск по беременности и родам (соответственно, |
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будет оплачено меньшее кол-во дней БИРа). |
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- У данного руководителя отсутствует доступ к сервису "Удаленная работа" по правилу, |
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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 |
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такого плана (ограничение на ШД руководителя CEO и -1) |
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- source_sentence: Нет моей команды в ЛК. С уважением ДМ |
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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 |
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- `per_device_train_batch_size`: 512 |
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- `per_device_eval_batch_size`: 512 |
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- `num_train_epochs`: 1200 |
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- `multi_dataset_batch_sampler`: round_robin |
|
|
|
#### All Hyperparameters |
|
<details><summary>Click to expand</summary> |
|
|
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- `overwrite_output_dir`: False |
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- `do_predict`: False |
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- `eval_strategy`: steps |
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- `prediction_loss_only`: True |
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- `per_device_train_batch_size`: 512 |
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- `per_device_eval_batch_size`: 512 |
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- `per_gpu_train_batch_size`: None |
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- `per_gpu_eval_batch_size`: None |
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- `gradient_accumulation_steps`: 1 |
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- `eval_accumulation_steps`: None |
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- `torch_empty_cache_steps`: None |
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- `learning_rate`: 5e-05 |
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- `weight_decay`: 0.0 |
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- `adam_beta1`: 0.9 |
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- `adam_beta2`: 0.999 |
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- `adam_epsilon`: 1e-08 |
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- `max_grad_norm`: 1 |
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- `num_train_epochs`: 1200 |
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- `max_steps`: -1 |
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- `lr_scheduler_type`: linear |
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- `lr_scheduler_kwargs`: {} |
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- `warmup_ratio`: 0.0 |
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- `warmup_steps`: 0 |
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- `log_level`: passive |
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- `log_level_replica`: warning |
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- `log_on_each_node`: True |
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- `logging_nan_inf_filter`: True |
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- `save_safetensors`: True |
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- `save_on_each_node`: False |
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- `save_only_model`: False |
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- `restore_callback_states_from_checkpoint`: False |
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- `no_cuda`: False |
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- `use_cpu`: False |
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- `use_mps_device`: False |
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- `seed`: 42 |
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- `data_seed`: None |
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- `jit_mode_eval`: False |
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- `use_ipex`: False |
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- `bf16`: False |
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- `fp16`: False |
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- `fp16_opt_level`: O1 |
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- `half_precision_backend`: auto |
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- `bf16_full_eval`: False |
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- `fp16_full_eval`: False |
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- `tf32`: None |
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- `local_rank`: 0 |
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- `ddp_backend`: None |
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- `tpu_num_cores`: None |
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- `tpu_metrics_debug`: False |
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- `debug`: [] |
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- `dataloader_drop_last`: False |
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- `dataloader_num_workers`: 0 |
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- `dataloader_prefetch_factor`: None |
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- `past_index`: -1 |
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- `disable_tqdm`: False |
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- `remove_unused_columns`: True |
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- `label_names`: None |
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- `load_best_model_at_end`: False |
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- `ignore_data_skip`: False |
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- `fsdp`: [] |
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- `fsdp_min_num_params`: 0 |
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- `fsdp_config`: {'min_num_params': 0, 'xla': False, 'xla_fsdp_v2': False, 'xla_fsdp_grad_ckpt': False} |
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- `fsdp_transformer_layer_cls_to_wrap`: None |
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- `accelerator_config`: {'split_batches': False, 'dispatch_batches': None, 'even_batches': True, 'use_seedable_sampler': True, 'non_blocking': False, 'gradient_accumulation_kwargs': None} |
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- `deepspeed`: None |
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- `label_smoothing_factor`: 0.0 |
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- `optim`: adamw_torch |
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- `optim_args`: None |
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- `adafactor`: False |
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- `group_by_length`: False |
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- `length_column_name`: length |
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- `ddp_find_unused_parameters`: None |
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- `ddp_bucket_cap_mb`: None |
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- `ddp_broadcast_buffers`: False |
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- `dataloader_pin_memory`: True |
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- `dataloader_persistent_workers`: False |
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- `skip_memory_metrics`: True |
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- `use_legacy_prediction_loop`: False |
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- `push_to_hub`: False |
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- `resume_from_checkpoint`: None |
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- `hub_model_id`: None |
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- `hub_strategy`: every_save |
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- `hub_private_repo`: False |
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- `hub_always_push`: False |
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- `gradient_checkpointing`: False |
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- `gradient_checkpointing_kwargs`: None |
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- `include_inputs_for_metrics`: False |
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- `eval_do_concat_batches`: True |
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- `fp16_backend`: auto |
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- `push_to_hub_model_id`: None |
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- `push_to_hub_organization`: None |
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- `mp_parameters`: |
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- `auto_find_batch_size`: False |
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- `full_determinism`: False |
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- `torchdynamo`: None |
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- `ray_scope`: last |
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- `ddp_timeout`: 1800 |
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- `torch_compile`: False |
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- `torch_compile_backend`: None |
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- `torch_compile_mode`: None |
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- `dispatch_batches`: None |
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- `split_batches`: None |
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- `include_tokens_per_second`: False |
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- `include_num_input_tokens_seen`: False |
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- `neftune_noise_alpha`: None |
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- `optim_target_modules`: None |
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- `batch_eval_metrics`: False |
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- `eval_on_start`: False |
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- `eval_use_gather_object`: False |
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- `batch_sampler`: batch_sampler |
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- `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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