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---
tags:
- sentence-transformers
- sentence-similarity
- feature-extraction
- dense
- generated_from_trainer
- dataset_size:257886
- loss:MultipleNegativesRankingLoss
base_model: Qwen/Qwen3-Embedding-0.6B
widget:
- source_sentence: With another well-directed and well-aimed shaft shot by his bow
drawn to its fullest stretch, he struck Vikarna on the soldier-joint as the latter
neared him;
sentences:
- 'अल्बर्ट् मेयर् इत्यनेन इतस्ततः विकीरितैः हरितस्थानैः सह सूपर्-ब्लाक्-आधारितं
नगरं विन्यासितम्, येन सेलुलर्-प्रतिवेशेषु तथा सञ्चारविभाजने महत्त्वं दत्तम्।
'
- सौहार्दै सर्वभूतेषु यः करोत्यतिमानुषः। सोऽद्य केशग्रहं श्रुत्वा पितुर्धक्ष्यति
नो रणे॥
- पूर्णायतविसृष्टेन सम्यक् प्रणिहितेन च। जत्रुदेशे समासाद्य विकर्णं समताडयत्॥
- source_sentence: '"Let us summarize. In this tutorial, we learnt to:"'
sentences:
- लक्ष्मणस्यात्मनश्चैव रामस्तेनाकरोज्जटाः। दीर्घबाहुर्नरव्याघ्रो जटिलत्वमधारयत्॥
तौ तदा चीरसम्पन्नौ जटामण्डलधारिणौ। अशोभेतामृषिसमौ भ्रातरौ रामलक्ष्मणौ॥
- '"सङ्क्षेपेण, अस्मिन् अनुशिक्षणे वयं"'
- 'भारते अनेके क्रीडाविश्वविद्यालयाः सन्ति, येषु तमिळुनाडु-शारीरिकशिक्षा तथा क्रीडा-विश्वविद्यालयः
च प्रथमः आसीत्, तथा पञ्जाब्-क्रीडा-विश्वविद्यालयः, हरियाणा-क्रीडा-विश्वविद्यालयः
च नवीनतमौ स्तः।
'
- source_sentence: 'As an assignment: Load silver chloride(AgCl) crystal structure
and show its Miller planes.'
sentences:
- 'उ॒त्ता॒नाया॑मजनय॒न्सुषू॑तं॒ भुव॑द॒ग्निः पु॑रु॒पेशा॑सु॒ गर्भः॑ । शिरि॑णायां चिद॒क्तुना॒
महो॑भि॒रप॑रीवृतो वसति॒ प्रचे॑ताः '
- 'अत्र पाठनियोजनम् : सिल्वर् क्लोरैड् (AgCl) क्रिस्टल् स्ट्रक्चर् इतीदं लोड् कृत्वा
तस्य मिल्लर् प्लेन्स् दर्शयन्तु ।'
- 'भवान् एवं वदेत्, "अद्य भवान् बहुजनानां अभियोगान् प्राप्तवान् स्यात्" इति।
'
- source_sentence: Thereupon the chief of the Panchalas, the grandson of Shini, the
son of Draupadi, the Provodrakas and Shikhandin, poured forth showers of arrows
upon those huge elephants.
sentences:
- अन्तरिक्षे च वागुक्ता प्रतिमामानुषि किल। एवमेतन्नरपते धर्मेण तनया तव॥
- ततः पाञ्चालशैनेयौ द्रौपदेयाः प्रभद्रकाः। शिखण्डी च महानागान् सिषिचुः शरवृष्टिभिः॥२७
- 'यावत् प्रकरणं न्यायालये भवति तावत् तुकाराम् इत्यसौ पर्यटकेभ्यः ताजमहल् इत्येतत्
पिहितं कर्तुं याचते।
'
- source_sentence: Hearing Vibhisana's words, Jambevan, best of bears, evoking utterance
with extreme effort, said.
sentences:
- विभीषणवचः श्रुत्वा जाम्बवानृक्षपुङ्गवः। कृच्छादब्युद्गिरन्वाक्यमिदं वचनमब्रवीत्॥
- 'आल्फा-बे आल्फा- बे इतीदं मार्केट् टोर् नेटवर्क् इत्यत्र कार्यं कुर्वत् एकं ऑनलाइन
डार्कनेट् मार्केट्प्लेस् आसीत्।
'
- स शरान्वञ्चयामास तेषामाशुचरः कपिः। रथवेगांश्च वीराणां विचरन्विमलेऽम्बरे॥
pipeline_tag: sentence-similarity
library_name: sentence-transformers
metrics:
- src2trg_accuracy
- trg2src_accuracy
- mean_accuracy
model-index:
- name: SentenceTransformer based on Qwen/Qwen3-Embedding-0.6B
results:
- task:
type: translation
name: Translation
dataset:
name: eval en sa
type: eval-en-sa
metrics:
- type: src2trg_accuracy
value: 0.896
name: Src2Trg Accuracy
- type: trg2src_accuracy
value: 0.896
name: Trg2Src Accuracy
- type: mean_accuracy
value: 0.896
name: Mean Accuracy
---
# SentenceTransformer based on Qwen/Qwen3-Embedding-0.6B
This is a [sentence-transformers](https://www.SBERT.net) model finetuned from [Qwen/Qwen3-Embedding-0.6B](https://huggingface.co/Qwen/Qwen3-Embedding-0.6B). It maps sentences & paragraphs to a 1024-dimensional dense vector space and can be used for semantic textual similarity, semantic search, paraphrase mining, text classification, clustering, and more.
## Model Details
### Model Description
- **Model Type:** Sentence Transformer
- **Base model:** [Qwen/Qwen3-Embedding-0.6B](https://huggingface.co/Qwen/Qwen3-Embedding-0.6B) <!-- at revision c54f2e6e80b2d7b7de06f51cec4959f6b3e03418 -->
- **Maximum Sequence Length:** 2048 tokens
- **Output Dimensionality:** 1024 dimensions
- **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, 'architecture': 'Qwen3Model'})
(1): Pooling({'word_embedding_dimension': 1024, 'pooling_mode_cls_token': False, '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': True, '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("sentence_transformers_model_id")
# Run inference
queries = [
"Hearing Vibhisana\u0027s words, Jambevan, best of bears, evoking utterance with extreme effort, said.",
]
documents = [
'विभीषणवचः श्रुत्वा जाम्बवानृक्षपुङ्गवः। कृच्छादब्युद्गिरन्वाक्यमिदं वचनमब्रवीत्॥',
'स शरान्वञ्चयामास तेषामाशुचरः कपिः। रथवेगांश्च वीराणां विचरन्विमलेऽम्बरे॥',
'आल्फा-बे आल्फा- बे इतीदं मार्केट् टोर् नेटवर्क् इत्यत्र कार्यं कुर्वत् एकं ऑनलाइन डार्कनेट् मार्केट्प्लेस् आसीत्।\n',
]
query_embeddings = model.encode_query(queries)
document_embeddings = model.encode_document(documents)
print(query_embeddings.shape, document_embeddings.shape)
# [1, 1024] [3, 1024]
# Get the similarity scores for the embeddings
similarities = model.similarity(query_embeddings, document_embeddings)
print(similarities)
# tensor([[ 0.6203, 0.0006, 0.1011]])
```
<!--
### 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
#### Translation
* Dataset: `eval-en-sa`
* Evaluated with [<code>TranslationEvaluator</code>](https://sbert.net/docs/package_reference/sentence_transformer/evaluation.html#sentence_transformers.evaluation.TranslationEvaluator)
| Metric | Value |
|:------------------|:----------|
| src2trg_accuracy | 0.896 |
| trg2src_accuracy | 0.896 |
| **mean_accuracy** | **0.896** |
<!--
## 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: 257,886 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: 30.43 tokens</li><li>max: 229 tokens</li></ul> | <ul><li>min: 11 tokens</li><li>mean: 91.02 tokens</li><li>max: 565 tokens</li></ul> |
* Samples:
| sentence_0 | sentence_1 |
|:-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| <code>But there is another, namely the Supreme Being, called Paramatma, who being the everlasting Lord, and pervading the three worlds, sustains them.</code> | <code>उत्तमः पुरुषस्त्वन्यः परमात्मेत्युदाहृतः। यो लोकत्रयमाविश्य बिभर्त्यव्यय ईश्वरः॥</code> |
| <code>The Nanda king is described to be cruel, against dharma and shastras, and born out of an illicit relationship followed by a coup.<br></code> | <code>नन्द-वंशस्य राजा क्रूरी, धर्मस्य शास्त्रस्य च विरोधी, प्रतिरोधात् परम् अक्रमात् सम्बन्धात् जातः इति च वर्णितः अस्ति।<br></code> |
| <code>Some say that the qualities of such men are not lost. Some say that they are all lost. Those who say that they are not lost rely upon the Shrutis, which do not contain any declaration to the contrary. They, however, who say, that the qualities are all lost rely on the Smritis. One should taking into consideration both these opinions, judge as to which of them is right.</code> | <code>प्रध्वस्ता न निवर्तन्ते निवृत्तिर्नोपलभ्यते। प्रत्यक्षेण परोक्षं तदनुमानेन सिध्यति॥ एवमेकेऽध्यवस्यन्ति निवृत्तिरिति चापरे। उभयं सम्प्रधायैतद् व्यवस्येत यथामति॥</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`: 4
- `per_device_eval_batch_size`: 4
- `num_train_epochs`: 15
- `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`: 4
- `per_device_eval_batch_size`: 4
- `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`: 15
- `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`: None
- `hub_always_push`: False
- `hub_revision`: None
- `gradient_checkpointing`: False
- `gradient_checkpointing_kwargs`: None
- `include_inputs_for_metrics`: False
- `include_for_metrics`: []
- `eval_do_concat_batches`: True
- `fp16_backend`: auto
- `push_to_hub_model_id`: None
- `push_to_hub_organization`: None
- `mp_parameters`:
- `auto_find_batch_size`: False
- `full_determinism`: False
- `torchdynamo`: None
- `ray_scope`: last
- `ddp_timeout`: 1800
- `torch_compile`: False
- `torch_compile_backend`: None
- `torch_compile_mode`: None
- `include_tokens_per_second`: False
- `include_num_input_tokens_seen`: False
- `neftune_noise_alpha`: None
- `optim_target_modules`: None
- `batch_eval_metrics`: False
- `eval_on_start`: False
- `use_liger_kernel`: False
- `liger_kernel_config`: None
- `eval_use_gather_object`: False
- `average_tokens_across_devices`: False
- `prompts`: None
- `batch_sampler`: batch_sampler
- `multi_dataset_batch_sampler`: round_robin
- `router_mapping`: {}
- `learning_rate_mapping`: {}
</details>
### Training Logs
<details><summary>Click to expand</summary>
| Epoch | Step | Training Loss | eval-en-sa_mean_accuracy |
|:-------:|:------:|:-------------:|:------------------------:|
| 0.0078 | 500 | 0.1029 | - |
| 0.0155 | 1000 | 0.0394 | - |
| 0.0233 | 1500 | 0.0325 | - |
| 0.0310 | 2000 | 0.027 | - |
| 0.0388 | 2500 | 0.031 | - |
| 0.0465 | 3000 | 0.0361 | - |
| 0.0543 | 3500 | 0.0448 | - |
| 0.0620 | 4000 | 0.036 | - |
| 0.0698 | 4500 | 0.0404 | - |
| 0.0776 | 5000 | 0.0549 | - |
| 0.0853 | 5500 | 0.0708 | - |
| 0.0931 | 6000 | 0.0422 | - |
| 0.1008 | 6500 | 0.0469 | - |
| 0.1086 | 7000 | 0.0441 | - |
| 0.1163 | 7500 | 0.0543 | - |
| 0.1241 | 8000 | 0.0587 | - |
| 0.1318 | 8500 | 0.0621 | - |
| 0.1396 | 9000 | 0.0703 | - |
| 0.1474 | 9500 | 0.0634 | - |
| 0.1551 | 10000 | 0.0576 | - |
| 0.1629 | 10500 | 0.0513 | - |
| 0.1706 | 11000 | 0.0485 | - |
| 0.1784 | 11500 | 0.059 | - |
| 0.1861 | 12000 | 0.0539 | - |
| 0.1939 | 12500 | 0.0578 | - |
| 0.2016 | 13000 | 0.0613 | - |
| 0.2094 | 13500 | 0.0649 | - |
| 0.2171 | 14000 | 0.046 | - |
| 0.2249 | 14500 | 0.0354 | - |
| 0.2327 | 15000 | 0.0648 | - |
| 0.2404 | 15500 | 0.0457 | - |
| 0.2482 | 16000 | 0.0433 | - |
| 0.2559 | 16500 | 0.0408 | - |
| 0.2637 | 17000 | 0.0407 | - |
| 0.2714 | 17500 | 0.0479 | - |
| 0.2792 | 18000 | 0.0364 | - |
| 0.2869 | 18500 | 0.0542 | - |
| 0.2947 | 19000 | 0.0416 | - |
| 0.3025 | 19500 | 0.0352 | - |
| 0.3102 | 20000 | 0.0556 | - |
| 0.3180 | 20500 | 0.0323 | - |
| 0.3257 | 21000 | 0.0553 | - |
| 0.3335 | 21500 | 0.0417 | - |
| 0.3412 | 22000 | 0.0292 | - |
| 0.3490 | 22500 | 0.0482 | - |
| 0.3567 | 23000 | 0.0294 | - |
| 0.3645 | 23500 | 0.035 | - |
| 0.3723 | 24000 | 0.0423 | - |
| 0.3800 | 24500 | 0.0419 | - |
| 0.3878 | 25000 | 0.0224 | - |
| 0.3955 | 25500 | 0.0392 | - |
| 0.4033 | 26000 | 0.0293 | - |
| 0.4110 | 26500 | 0.0325 | - |
| 0.4188 | 27000 | 0.0196 | - |
| 0.4265 | 27500 | 0.0304 | - |
| 0.4343 | 28000 | 0.0463 | - |
| 0.4421 | 28500 | 0.0271 | - |
| 0.4498 | 29000 | 0.029 | - |
| 0.4576 | 29500 | 0.0384 | - |
| 0.4653 | 30000 | 0.0321 | - |
| 0.4731 | 30500 | 0.0339 | - |
| 0.4808 | 31000 | 0.0356 | - |
| 0.4886 | 31500 | 0.027 | - |
| 0.4963 | 32000 | 0.0396 | - |
| 0.5041 | 32500 | 0.0295 | - |
| 0.5119 | 33000 | 0.0296 | - |
| 0.5196 | 33500 | 0.0348 | - |
| 0.5274 | 34000 | 0.0293 | - |
| 0.5351 | 34500 | 0.0231 | - |
| 0.5429 | 35000 | 0.0298 | - |
| 0.5506 | 35500 | 0.0272 | - |
| 0.5584 | 36000 | 0.0328 | - |
| 0.5661 | 36500 | 0.0253 | - |
| 0.5739 | 37000 | 0.0261 | - |
| 0.5816 | 37500 | 0.0241 | - |
| 0.5894 | 38000 | 0.0358 | - |
| 0.5972 | 38500 | 0.0246 | - |
| 0.6049 | 39000 | 0.0409 | - |
| 0.6127 | 39500 | 0.0252 | - |
| 0.6204 | 40000 | 0.0376 | - |
| 0.6282 | 40500 | 0.0327 | - |
| 0.6359 | 41000 | 0.023 | - |
| 0.6437 | 41500 | 0.0189 | - |
| 0.6514 | 42000 | 0.0294 | - |
| 0.6592 | 42500 | 0.0225 | - |
| 0.6670 | 43000 | 0.0344 | - |
| 0.6747 | 43500 | 0.015 | - |
| 0.6825 | 44000 | 0.0277 | - |
| 0.6902 | 44500 | 0.035 | - |
| 0.6980 | 45000 | 0.031 | - |
| 0.7057 | 45500 | 0.0255 | - |
| 0.7135 | 46000 | 0.0288 | - |
| 0.7212 | 46500 | 0.0242 | - |
| 0.7290 | 47000 | 0.0232 | - |
| 0.7368 | 47500 | 0.0256 | - |
| 0.7445 | 48000 | 0.0277 | - |
| 0.7523 | 48500 | 0.0328 | - |
| 0.7600 | 49000 | 0.0223 | - |
| 0.7678 | 49500 | 0.0194 | - |
| 0.7755 | 50000 | 0.021 | 0.6445 |
| 0.7833 | 50500 | 0.0261 | - |
| 0.7910 | 51000 | 0.0382 | - |
| 0.7988 | 51500 | 0.0272 | - |
| 0.8066 | 52000 | 0.0198 | - |
| 0.8143 | 52500 | 0.0277 | - |
| 0.8221 | 53000 | 0.029 | - |
| 0.8298 | 53500 | 0.0285 | - |
| 0.8376 | 54000 | 0.0127 | - |
| 0.8453 | 54500 | 0.0225 | - |
| 0.8531 | 55000 | 0.0253 | - |
| 0.8608 | 55500 | 0.0233 | - |
| 0.8686 | 56000 | 0.0127 | - |
| 0.8763 | 56500 | 0.0154 | - |
| 0.8841 | 57000 | 0.0228 | - |
| 0.8919 | 57500 | 0.0257 | - |
| 0.8996 | 58000 | 0.0201 | - |
| 0.9074 | 58500 | 0.0192 | - |
| 0.9151 | 59000 | 0.0222 | - |
| 0.9229 | 59500 | 0.0185 | - |
| 0.9306 | 60000 | 0.0254 | - |
| 0.9384 | 60500 | 0.0155 | - |
| 0.9461 | 61000 | 0.0397 | - |
| 0.9539 | 61500 | 0.0235 | - |
| 0.9617 | 62000 | 0.0222 | - |
| 0.9694 | 62500 | 0.0123 | - |
| 0.9772 | 63000 | 0.0275 | - |
| 0.9849 | 63500 | 0.0247 | - |
| 0.9927 | 64000 | 0.0233 | - |
| 1.0 | 64472 | - | 0.6890 |
| 1.0004 | 64500 | 0.0212 | - |
| 1.0082 | 65000 | 0.0155 | - |
| 1.0159 | 65500 | 0.013 | - |
| 1.0237 | 66000 | 0.0217 | - |
| 1.0315 | 66500 | 0.0169 | - |
| 1.0392 | 67000 | 0.0127 | - |
| 1.0470 | 67500 | 0.0184 | - |
| 1.0547 | 68000 | 0.0159 | - |
| 1.0625 | 68500 | 0.0202 | - |
| 1.0702 | 69000 | 0.0121 | - |
| 1.0780 | 69500 | 0.0207 | - |
| 1.0857 | 70000 | 0.0232 | - |
| 1.0935 | 70500 | 0.0177 | - |
| 1.1013 | 71000 | 0.0207 | - |
| 1.1090 | 71500 | 0.0163 | - |
| 1.1168 | 72000 | 0.0229 | - |
| 1.1245 | 72500 | 0.0111 | - |
| 1.1323 | 73000 | 0.0252 | - |
| 1.1400 | 73500 | 0.0231 | - |
| 1.1478 | 74000 | 0.0194 | - |
| 1.1555 | 74500 | 0.016 | - |
| 1.1633 | 75000 | 0.014 | - |
| 1.1711 | 75500 | 0.0297 | - |
| 1.1788 | 76000 | 0.0175 | - |
| 1.1866 | 76500 | 0.0152 | - |
| 1.1943 | 77000 | 0.0198 | - |
| 1.2021 | 77500 | 0.0118 | - |
| 1.2098 | 78000 | 0.0154 | - |
| 1.2176 | 78500 | 0.0162 | - |
| 1.2253 | 79000 | 0.0174 | - |
| 1.2331 | 79500 | 0.0154 | - |
| 1.2408 | 80000 | 0.0248 | - |
| 1.2486 | 80500 | 0.0129 | - |
| 1.2564 | 81000 | 0.0211 | - |
| 1.2641 | 81500 | 0.0218 | - |
| 1.2719 | 82000 | 0.0284 | - |
| 1.2796 | 82500 | 0.0178 | - |
| 1.2874 | 83000 | 0.0142 | - |
| 1.2951 | 83500 | 0.0153 | - |
| 1.3029 | 84000 | 0.0167 | - |
| 1.3106 | 84500 | 0.0228 | - |
| 1.3184 | 85000 | 0.0131 | - |
| 1.3262 | 85500 | 0.0146 | - |
| 1.3339 | 86000 | 0.0245 | - |
| 1.3417 | 86500 | 0.0101 | - |
| 1.3494 | 87000 | 0.0175 | - |
| 1.3572 | 87500 | 0.017 | - |
| 1.3649 | 88000 | 0.0174 | - |
| 1.3727 | 88500 | 0.0112 | - |
| 1.3804 | 89000 | 0.0144 | - |
| 1.3882 | 89500 | 0.0162 | - |
| 1.3960 | 90000 | 0.0131 | - |
| 1.4037 | 90500 | 0.0119 | - |
| 1.4115 | 91000 | 0.015 | - |
| 1.4192 | 91500 | 0.018 | - |
| 1.4270 | 92000 | 0.0159 | - |
| 1.4347 | 92500 | 0.0117 | - |
| 1.4425 | 93000 | 0.0101 | - |
| 1.4502 | 93500 | 0.0147 | - |
| 1.4580 | 94000 | 0.0102 | - |
| 1.4658 | 94500 | 0.0156 | - |
| 1.4735 | 95000 | 0.0211 | - |
| 1.4813 | 95500 | 0.0138 | - |
| 1.4890 | 96000 | 0.0151 | - |
| 1.4968 | 96500 | 0.0117 | - |
| 1.5045 | 97000 | 0.0102 | - |
| 1.5123 | 97500 | 0.0116 | - |
| 1.5200 | 98000 | 0.0141 | - |
| 1.5278 | 98500 | 0.023 | - |
| 1.5356 | 99000 | 0.0159 | - |
| 1.5433 | 99500 | 0.0132 | - |
| 1.5511 | 100000 | 0.0156 | 0.683 |
| 1.5588 | 100500 | 0.0237 | - |
| 1.5666 | 101000 | 0.0153 | - |
| 1.5743 | 101500 | 0.017 | - |
| 1.5821 | 102000 | 0.0181 | - |
| 1.5898 | 102500 | 0.0122 | - |
| 1.5976 | 103000 | 0.0054 | - |
| 1.6053 | 103500 | 0.0146 | - |
| 1.6131 | 104000 | 0.0136 | - |
| 1.6209 | 104500 | 0.0194 | - |
| 1.6286 | 105000 | 0.0134 | - |
| 1.6364 | 105500 | 0.0157 | - |
| 1.6441 | 106000 | 0.0078 | - |
| 1.6519 | 106500 | 0.0143 | - |
| 1.6596 | 107000 | 0.0169 | - |
| 1.6674 | 107500 | 0.0183 | - |
| 1.6751 | 108000 | 0.0151 | - |
| 1.6829 | 108500 | 0.0109 | - |
| 1.6907 | 109000 | 0.0185 | - |
| 1.6984 | 109500 | 0.0166 | - |
| 1.7062 | 110000 | 0.0122 | - |
| 1.7139 | 110500 | 0.016 | - |
| 1.7217 | 111000 | 0.0199 | - |
| 1.7294 | 111500 | 0.0129 | - |
| 1.7372 | 112000 | 0.022 | - |
| 1.7449 | 112500 | 0.0106 | - |
| 1.7527 | 113000 | 0.0104 | - |
| 1.7605 | 113500 | 0.0187 | - |
| 1.7682 | 114000 | 0.0211 | - |
| 1.7760 | 114500 | 0.0123 | - |
| 1.7837 | 115000 | 0.0116 | - |
| 1.7915 | 115500 | 0.0176 | - |
| 1.7992 | 116000 | 0.0153 | - |
| 1.8070 | 116500 | 0.0154 | - |
| 1.8147 | 117000 | 0.0185 | - |
| 1.8225 | 117500 | 0.0126 | - |
| 1.8303 | 118000 | 0.0167 | - |
| 1.8380 | 118500 | 0.0066 | - |
| 1.8458 | 119000 | 0.0141 | - |
| 1.8535 | 119500 | 0.0113 | - |
| 1.8613 | 120000 | 0.0143 | - |
| 1.8690 | 120500 | 0.0133 | - |
| 1.8768 | 121000 | 0.0118 | - |
| 1.8845 | 121500 | 0.0183 | - |
| 1.8923 | 122000 | 0.0144 | - |
| 1.9000 | 122500 | 0.0118 | - |
| 1.9078 | 123000 | 0.0114 | - |
| 1.9156 | 123500 | 0.0117 | - |
| 1.9233 | 124000 | 0.0085 | - |
| 1.9311 | 124500 | 0.0097 | - |
| 1.9388 | 125000 | 0.0113 | - |
| 1.9466 | 125500 | 0.0181 | - |
| 1.9543 | 126000 | 0.0165 | - |
| 1.9621 | 126500 | 0.0133 | - |
| 1.9698 | 127000 | 0.0182 | - |
| 1.9776 | 127500 | 0.0089 | - |
| 1.9854 | 128000 | 0.0083 | - |
| 1.9931 | 128500 | 0.0206 | - |
| 2.0 | 128944 | - | 0.708 |
| 2.0009 | 129000 | 0.0078 | - |
| 2.0086 | 129500 | 0.0119 | - |
| 2.0164 | 130000 | 0.0129 | - |
| 2.0241 | 130500 | 0.0101 | - |
| 2.0319 | 131000 | 0.0202 | - |
| 2.0396 | 131500 | 0.0066 | - |
| 2.0474 | 132000 | 0.0052 | - |
| 2.0552 | 132500 | 0.0099 | - |
| 2.0629 | 133000 | 0.0072 | - |
| 2.0707 | 133500 | 0.0147 | - |
| 2.0784 | 134000 | 0.0058 | - |
| 2.0862 | 134500 | 0.0103 | - |
| 2.0939 | 135000 | 0.0078 | - |
| 2.1017 | 135500 | 0.0184 | - |
| 2.1094 | 136000 | 0.0058 | - |
| 2.1172 | 136500 | 0.0047 | - |
| 2.1250 | 137000 | 0.0115 | - |
| 2.1327 | 137500 | 0.0083 | - |
| 2.1405 | 138000 | 0.0082 | - |
| 2.1482 | 138500 | 0.0094 | - |
| 2.1560 | 139000 | 0.0188 | - |
| 2.1637 | 139500 | 0.0059 | - |
| 2.1715 | 140000 | 0.0136 | - |
| 2.1792 | 140500 | 0.0134 | - |
| 2.1870 | 141000 | 0.0083 | - |
| 2.1948 | 141500 | 0.0114 | - |
| 2.2025 | 142000 | 0.015 | - |
| 2.2103 | 142500 | 0.006 | - |
| 2.2180 | 143000 | 0.0095 | - |
| 2.2258 | 143500 | 0.0095 | - |
| 2.2335 | 144000 | 0.0091 | - |
| 2.2413 | 144500 | 0.0094 | - |
| 2.2490 | 145000 | 0.0049 | - |
| 2.2568 | 145500 | 0.0077 | - |
| 2.2645 | 146000 | 0.0113 | - |
| 2.2723 | 146500 | 0.0085 | - |
| 2.2801 | 147000 | 0.009 | - |
| 2.2878 | 147500 | 0.0162 | - |
| 2.2956 | 148000 | 0.0176 | - |
| 2.3033 | 148500 | 0.0155 | - |
| 2.3111 | 149000 | 0.0106 | - |
| 2.3188 | 149500 | 0.0132 | - |
| 2.3266 | 150000 | 0.0057 | 0.7135 |
| 2.3343 | 150500 | 0.007 | - |
| 2.3421 | 151000 | 0.0046 | - |
| 2.3499 | 151500 | 0.0145 | - |
| 2.3576 | 152000 | 0.012 | - |
| 2.3654 | 152500 | 0.0128 | - |
| 2.3731 | 153000 | 0.012 | - |
| 2.3809 | 153500 | 0.01 | - |
| 2.3886 | 154000 | 0.0083 | - |
| 2.3964 | 154500 | 0.0117 | - |
| 2.4041 | 155000 | 0.0064 | - |
| 2.4119 | 155500 | 0.0092 | - |
| 2.4197 | 156000 | 0.0107 | - |
| 2.4274 | 156500 | 0.0091 | - |
| 2.4352 | 157000 | 0.0087 | - |
| 2.4429 | 157500 | 0.0149 | - |
| 2.4507 | 158000 | 0.0116 | - |
| 2.4584 | 158500 | 0.0133 | - |
| 2.4662 | 159000 | 0.0068 | - |
| 2.4739 | 159500 | 0.0117 | - |
| 2.4817 | 160000 | 0.0075 | - |
| 2.4895 | 160500 | 0.0082 | - |
| 2.4972 | 161000 | 0.0083 | - |
| 2.5050 | 161500 | 0.0216 | - |
| 2.5127 | 162000 | 0.0082 | - |
| 2.5205 | 162500 | 0.0037 | - |
| 2.5282 | 163000 | 0.0125 | - |
| 2.5360 | 163500 | 0.0134 | - |
| 2.5437 | 164000 | 0.0048 | - |
| 2.5515 | 164500 | 0.0092 | - |
| 2.5593 | 165000 | 0.0065 | - |
| 2.5670 | 165500 | 0.0131 | - |
| 2.5748 | 166000 | 0.0071 | - |
| 2.5825 | 166500 | 0.0069 | - |
| 2.5903 | 167000 | 0.009 | - |
| 2.5980 | 167500 | 0.006 | - |
| 2.6058 | 168000 | 0.0081 | - |
| 2.6135 | 168500 | 0.008 | - |
| 2.6213 | 169000 | 0.0059 | - |
| 2.6290 | 169500 | 0.0067 | - |
| 2.6368 | 170000 | 0.0086 | - |
| 2.6446 | 170500 | 0.013 | - |
| 2.6523 | 171000 | 0.0064 | - |
| 2.6601 | 171500 | 0.0092 | - |
| 2.6678 | 172000 | 0.0091 | - |
| 2.6756 | 172500 | 0.0087 | - |
| 2.6833 | 173000 | 0.0105 | - |
| 2.6911 | 173500 | 0.0098 | - |
| 2.6988 | 174000 | 0.0096 | - |
| 2.7066 | 174500 | 0.017 | - |
| 2.7144 | 175000 | 0.005 | - |
| 2.7221 | 175500 | 0.007 | - |
| 2.7299 | 176000 | 0.0086 | - |
| 2.7376 | 176500 | 0.0111 | - |
| 2.7454 | 177000 | 0.0079 | - |
| 2.7531 | 177500 | 0.0106 | - |
| 2.7609 | 178000 | 0.0045 | - |
| 2.7686 | 178500 | 0.0154 | - |
| 2.7764 | 179000 | 0.0108 | - |
| 2.7842 | 179500 | 0.0073 | - |
| 2.7919 | 180000 | 0.0077 | - |
| 2.7997 | 180500 | 0.0144 | - |
| 2.8074 | 181000 | 0.0099 | - |
| 2.8152 | 181500 | 0.0125 | - |
| 2.8229 | 182000 | 0.011 | - |
| 2.8307 | 182500 | 0.0068 | - |
| 2.8384 | 183000 | 0.007 | - |
| 2.8462 | 183500 | 0.0069 | - |
| 2.8540 | 184000 | 0.0087 | - |
| 2.8617 | 184500 | 0.0092 | - |
| 2.8695 | 185000 | 0.0055 | - |
| 2.8772 | 185500 | 0.0067 | - |
| 2.8850 | 186000 | 0.0104 | - |
| 2.8927 | 186500 | 0.0076 | - |
| 2.9005 | 187000 | 0.005 | - |
| 2.9082 | 187500 | 0.0123 | - |
| 2.9160 | 188000 | 0.0103 | - |
| 2.9237 | 188500 | 0.0067 | - |
| 2.9315 | 189000 | 0.0124 | - |
| 2.9393 | 189500 | 0.0138 | - |
| 2.9470 | 190000 | 0.0165 | - |
| 2.9548 | 190500 | 0.0138 | - |
| 2.9625 | 191000 | 0.009 | - |
| 2.9703 | 191500 | 0.0098 | - |
| 2.9780 | 192000 | 0.011 | - |
| 2.9858 | 192500 | 0.0126 | - |
| 2.9935 | 193000 | 0.004 | - |
| 3.0 | 193416 | - | 0.74 |
| 3.0013 | 193500 | 0.0085 | - |
| 3.0091 | 194000 | 0.0044 | - |
| 3.0168 | 194500 | 0.0055 | - |
| 3.0246 | 195000 | 0.0085 | - |
| 3.0323 | 195500 | 0.0042 | - |
| 3.0401 | 196000 | 0.0096 | - |
| 3.0478 | 196500 | 0.0071 | - |
| 3.0556 | 197000 | 0.0085 | - |
| 3.0633 | 197500 | 0.0031 | - |
| 3.0711 | 198000 | 0.0066 | - |
| 3.0789 | 198500 | 0.0057 | - |
| 3.0866 | 199000 | 0.0051 | - |
| 3.0944 | 199500 | 0.0043 | - |
| 3.1021 | 200000 | 0.0058 | 0.7465 |
| 3.1099 | 200500 | 0.0097 | - |
| 3.1176 | 201000 | 0.0091 | - |
| 3.1254 | 201500 | 0.0071 | - |
| 3.1331 | 202000 | 0.0035 | - |
| 3.1409 | 202500 | 0.0079 | - |
| 3.1487 | 203000 | 0.0085 | - |
| 3.1564 | 203500 | 0.0041 | - |
| 3.1642 | 204000 | 0.006 | - |
| 3.1719 | 204500 | 0.0049 | - |
| 3.1797 | 205000 | 0.0092 | - |
| 3.1874 | 205500 | 0.0057 | - |
| 3.1952 | 206000 | 0.008 | - |
| 3.2029 | 206500 | 0.008 | - |
| 3.2107 | 207000 | 0.0046 | - |
| 3.2185 | 207500 | 0.0084 | - |
| 3.2262 | 208000 | 0.0108 | - |
| 3.2340 | 208500 | 0.0035 | - |
| 3.2417 | 209000 | 0.0083 | - |
| 3.2495 | 209500 | 0.0055 | - |
| 3.2572 | 210000 | 0.0049 | - |
| 3.2650 | 210500 | 0.0051 | - |
| 3.2727 | 211000 | 0.0104 | - |
| 3.2805 | 211500 | 0.0072 | - |
| 3.2882 | 212000 | 0.0044 | - |
| 3.2960 | 212500 | 0.0071 | - |
| 3.3038 | 213000 | 0.0063 | - |
| 3.3115 | 213500 | 0.006 | - |
| 3.3193 | 214000 | 0.0043 | - |
| 3.3270 | 214500 | 0.0053 | - |
| 3.3348 | 215000 | 0.0086 | - |
| 3.3425 | 215500 | 0.007 | - |
| 3.3503 | 216000 | 0.0074 | - |
| 3.3580 | 216500 | 0.0056 | - |
| 3.3658 | 217000 | 0.0076 | - |
| 3.3736 | 217500 | 0.0101 | - |
| 3.3813 | 218000 | 0.0051 | - |
| 3.3891 | 218500 | 0.0039 | - |
| 3.3968 | 219000 | 0.0063 | - |
| 3.4046 | 219500 | 0.0042 | - |
| 3.4123 | 220000 | 0.005 | - |
| 3.4201 | 220500 | 0.0038 | - |
| 3.4278 | 221000 | 0.006 | - |
| 3.4356 | 221500 | 0.0129 | - |
| 3.4434 | 222000 | 0.005 | - |
| 3.4511 | 222500 | 0.0083 | - |
| 3.4589 | 223000 | 0.0037 | - |
| 3.4666 | 223500 | 0.0072 | - |
| 3.4744 | 224000 | 0.0106 | - |
| 3.4821 | 224500 | 0.0053 | - |
| 3.4899 | 225000 | 0.0061 | - |
| 3.4976 | 225500 | 0.0044 | - |
| 3.5054 | 226000 | 0.018 | - |
| 3.5132 | 226500 | 0.0052 | - |
| 3.5209 | 227000 | 0.0112 | - |
| 3.5287 | 227500 | 0.0081 | - |
| 3.5364 | 228000 | 0.0028 | - |
| 3.5442 | 228500 | 0.0048 | - |
| 3.5519 | 229000 | 0.0106 | - |
| 3.5597 | 229500 | 0.004 | - |
| 3.5674 | 230000 | 0.0032 | - |
| 3.5752 | 230500 | 0.0147 | - |
| 3.5830 | 231000 | 0.0053 | - |
| 3.5907 | 231500 | 0.0124 | - |
| 3.5985 | 232000 | 0.0061 | - |
| 3.6062 | 232500 | 0.0075 | - |
| 3.6140 | 233000 | 0.0053 | - |
| 3.6217 | 233500 | 0.0056 | - |
| 3.6295 | 234000 | 0.0062 | - |
| 3.6372 | 234500 | 0.0102 | - |
| 3.6450 | 235000 | 0.0072 | - |
| 3.6527 | 235500 | 0.0116 | - |
| 3.6605 | 236000 | 0.0062 | - |
| 3.6683 | 236500 | 0.0068 | - |
| 3.6760 | 237000 | 0.0053 | - |
| 3.6838 | 237500 | 0.0076 | - |
| 3.6915 | 238000 | 0.0103 | - |
| 3.6993 | 238500 | 0.007 | - |
| 3.7070 | 239000 | 0.004 | - |
| 3.7148 | 239500 | 0.0093 | - |
| 3.7225 | 240000 | 0.0091 | - |
| 3.7303 | 240500 | 0.0073 | - |
| 3.7381 | 241000 | 0.006 | - |
| 3.7458 | 241500 | 0.006 | - |
| 3.7536 | 242000 | 0.007 | - |
| 3.7613 | 242500 | 0.0071 | - |
| 3.7691 | 243000 | 0.0072 | - |
| 3.7768 | 243500 | 0.0117 | - |
| 3.7846 | 244000 | 0.0032 | - |
| 3.7923 | 244500 | 0.0026 | - |
| 3.8001 | 245000 | 0.0041 | - |
| 3.8079 | 245500 | 0.0044 | - |
| 3.8156 | 246000 | 0.0109 | - |
| 3.8234 | 246500 | 0.0086 | - |
| 3.8311 | 247000 | 0.0044 | - |
| 3.8389 | 247500 | 0.006 | - |
| 3.8466 | 248000 | 0.0038 | - |
| 3.8544 | 248500 | 0.0025 | - |
| 3.8621 | 249000 | 0.0031 | - |
| 3.8699 | 249500 | 0.0035 | - |
| 3.8777 | 250000 | 0.0052 | 0.7595 |
| 3.8854 | 250500 | 0.0065 | - |
| 3.8932 | 251000 | 0.0091 | - |
| 3.9009 | 251500 | 0.0068 | - |
| 3.9087 | 252000 | 0.0079 | - |
| 3.9164 | 252500 | 0.0115 | - |
| 3.9242 | 253000 | 0.0042 | - |
| 3.9319 | 253500 | 0.0069 | - |
| 3.9397 | 254000 | 0.0079 | - |
| 3.9475 | 254500 | 0.0071 | - |
| 3.9552 | 255000 | 0.002 | - |
| 3.9630 | 255500 | 0.0062 | - |
| 3.9707 | 256000 | 0.0071 | - |
| 3.9785 | 256500 | 0.0063 | - |
| 3.9862 | 257000 | 0.0017 | - |
| 3.9940 | 257500 | 0.0091 | - |
| 4.0 | 257888 | - | 0.752 |
| 4.0017 | 258000 | 0.0037 | - |
| 4.0095 | 258500 | 0.0041 | - |
| 4.0172 | 259000 | 0.0057 | - |
| 4.0250 | 259500 | 0.0032 | - |
| 4.0328 | 260000 | 0.0038 | - |
| 4.0405 | 260500 | 0.0072 | - |
| 4.0483 | 261000 | 0.0033 | - |
| 4.0560 | 261500 | 0.0066 | - |
| 4.0638 | 262000 | 0.0102 | - |
| 4.0715 | 262500 | 0.0074 | - |
| 4.0793 | 263000 | 0.0054 | - |
| 4.0870 | 263500 | 0.0025 | - |
| 4.0948 | 264000 | 0.0063 | - |
| 4.1026 | 264500 | 0.0057 | - |
| 4.1103 | 265000 | 0.0078 | - |
| 4.1181 | 265500 | 0.0032 | - |
| 4.1258 | 266000 | 0.0065 | - |
| 4.1336 | 266500 | 0.0034 | - |
| 4.1413 | 267000 | 0.0038 | - |
| 4.1491 | 267500 | 0.0058 | - |
| 4.1568 | 268000 | 0.0028 | - |
| 4.1646 | 268500 | 0.0034 | - |
| 4.1724 | 269000 | 0.0091 | - |
| 4.1801 | 269500 | 0.005 | - |
| 4.1879 | 270000 | 0.0056 | - |
| 4.1956 | 270500 | 0.004 | - |
| 4.2034 | 271000 | 0.0036 | - |
| 4.2111 | 271500 | 0.0062 | - |
| 4.2189 | 272000 | 0.0035 | - |
| 4.2266 | 272500 | 0.004 | - |
| 4.2344 | 273000 | 0.003 | - |
| 4.2422 | 273500 | 0.0064 | - |
| 4.2499 | 274000 | 0.0059 | - |
| 4.2577 | 274500 | 0.0018 | - |
| 4.2654 | 275000 | 0.0069 | - |
| 4.2732 | 275500 | 0.0053 | - |
| 4.2809 | 276000 | 0.0064 | - |
| 4.2887 | 276500 | 0.0049 | - |
| 4.2964 | 277000 | 0.0066 | - |
| 4.3042 | 277500 | 0.0078 | - |
| 4.3119 | 278000 | 0.0025 | - |
| 4.3197 | 278500 | 0.0033 | - |
| 4.3275 | 279000 | 0.0054 | - |
| 4.3352 | 279500 | 0.0047 | - |
| 4.3430 | 280000 | 0.0047 | - |
| 4.3507 | 280500 | 0.0035 | - |
| 4.3585 | 281000 | 0.0025 | - |
| 4.3662 | 281500 | 0.0038 | - |
| 4.3740 | 282000 | 0.0023 | - |
| 4.3817 | 282500 | 0.0054 | - |
| 4.3895 | 283000 | 0.0059 | - |
| 4.3973 | 283500 | 0.004 | - |
| 4.4050 | 284000 | 0.0064 | - |
| 4.4128 | 284500 | 0.0123 | - |
| 4.4205 | 285000 | 0.0047 | - |
| 4.4283 | 285500 | 0.003 | - |
| 4.4360 | 286000 | 0.0074 | - |
| 4.4438 | 286500 | 0.0056 | - |
| 4.4515 | 287000 | 0.0097 | - |
| 4.4593 | 287500 | 0.0077 | - |
| 4.4671 | 288000 | 0.0085 | - |
| 4.4748 | 288500 | 0.003 | - |
| 4.4826 | 289000 | 0.0071 | - |
| 4.4903 | 289500 | 0.0033 | - |
| 4.4981 | 290000 | 0.0042 | - |
| 4.5058 | 290500 | 0.0063 | - |
| 4.5136 | 291000 | 0.0046 | - |
| 4.5213 | 291500 | 0.0067 | - |
| 4.5291 | 292000 | 0.0057 | - |
| 4.5369 | 292500 | 0.0079 | - |
| 4.5446 | 293000 | 0.0031 | - |
| 4.5524 | 293500 | 0.0031 | - |
| 4.5601 | 294000 | 0.0056 | - |
| 4.5679 | 294500 | 0.0027 | - |
| 4.5756 | 295000 | 0.0017 | - |
| 4.5834 | 295500 | 0.0074 | - |
| 4.5911 | 296000 | 0.0064 | - |
| 4.5989 | 296500 | 0.0083 | - |
| 4.6067 | 297000 | 0.0047 | - |
| 4.6144 | 297500 | 0.004 | - |
| 4.6222 | 298000 | 0.0053 | - |
| 4.6299 | 298500 | 0.0082 | - |
| 4.6377 | 299000 | 0.0084 | - |
| 4.6454 | 299500 | 0.0057 | - |
| 4.6532 | 300000 | 0.0066 | 0.7365 |
| 4.6609 | 300500 | 0.0041 | - |
| 4.6687 | 301000 | 0.0051 | - |
| 4.6764 | 301500 | 0.0039 | - |
| 4.6842 | 302000 | 0.0041 | - |
| 4.6920 | 302500 | 0.0027 | - |
| 4.6997 | 303000 | 0.005 | - |
| 4.7075 | 303500 | 0.0059 | - |
| 4.7152 | 304000 | 0.0047 | - |
| 4.7230 | 304500 | 0.0055 | - |
| 4.7307 | 305000 | 0.0079 | - |
| 4.7385 | 305500 | 0.0079 | - |
| 4.7462 | 306000 | 0.0032 | - |
| 4.7540 | 306500 | 0.0059 | - |
| 4.7618 | 307000 | 0.0044 | - |
| 4.7695 | 307500 | 0.0028 | - |
| 4.7773 | 308000 | 0.0083 | - |
| 4.7850 | 308500 | 0.0064 | - |
| 4.7928 | 309000 | 0.0057 | - |
| 4.8005 | 309500 | 0.0055 | - |
| 4.8083 | 310000 | 0.0053 | - |
| 4.8160 | 310500 | 0.0034 | - |
| 4.8238 | 311000 | 0.0039 | - |
| 4.8316 | 311500 | 0.0056 | - |
| 4.8393 | 312000 | 0.0046 | - |
| 4.8471 | 312500 | 0.0039 | - |
| 4.8548 | 313000 | 0.0043 | - |
| 4.8626 | 313500 | 0.0052 | - |
| 4.8703 | 314000 | 0.0049 | - |
| 4.8781 | 314500 | 0.0045 | - |
| 4.8858 | 315000 | 0.0053 | - |
| 4.8936 | 315500 | 0.0056 | - |
| 4.9014 | 316000 | 0.0027 | - |
| 4.9091 | 316500 | 0.0042 | - |
| 4.9169 | 317000 | 0.005 | - |
| 4.9246 | 317500 | 0.0039 | - |
| 4.9324 | 318000 | 0.0027 | - |
| 4.9401 | 318500 | 0.004 | - |
| 4.9479 | 319000 | 0.0026 | - |
| 4.9556 | 319500 | 0.0025 | - |
| 4.9634 | 320000 | 0.0054 | - |
| 4.9712 | 320500 | 0.0073 | - |
| 4.9789 | 321000 | 0.0085 | - |
| 4.9867 | 321500 | 0.0029 | - |
| 4.9944 | 322000 | 0.0046 | - |
| 5.0 | 322360 | - | 0.7515 |
| 5.0022 | 322500 | 0.0052 | - |
| 5.0099 | 323000 | 0.0015 | - |
| 5.0177 | 323500 | 0.0022 | - |
| 5.0254 | 324000 | 0.0019 | - |
| 5.0332 | 324500 | 0.0026 | - |
| 5.0409 | 325000 | 0.0012 | - |
| 5.0487 | 325500 | 0.004 | - |
| 5.0565 | 326000 | 0.0031 | - |
| 5.0642 | 326500 | 0.0051 | - |
| 5.0720 | 327000 | 0.004 | - |
| 5.0797 | 327500 | 0.0043 | - |
| 5.0875 | 328000 | 0.0053 | - |
| 5.0952 | 328500 | 0.0014 | - |
| 5.1030 | 329000 | 0.0017 | - |
| 5.1107 | 329500 | 0.0038 | - |
| 5.1185 | 330000 | 0.0059 | - |
| 5.1263 | 330500 | 0.0039 | - |
| 5.1340 | 331000 | 0.0058 | - |
| 5.1418 | 331500 | 0.003 | - |
| 5.1495 | 332000 | 0.0044 | - |
| 5.1573 | 332500 | 0.0028 | - |
| 5.1650 | 333000 | 0.0039 | - |
| 5.1728 | 333500 | 0.0039 | - |
| 5.1805 | 334000 | 0.0018 | - |
| 5.1883 | 334500 | 0.0049 | - |
| 5.1961 | 335000 | 0.0026 | - |
| 5.2038 | 335500 | 0.0018 | - |
| 5.2116 | 336000 | 0.0049 | - |
| 5.2193 | 336500 | 0.0042 | - |
| 5.2271 | 337000 | 0.0051 | - |
| 5.2348 | 337500 | 0.005 | - |
| 5.2426 | 338000 | 0.0029 | - |
| 5.2503 | 338500 | 0.002 | - |
| 5.2581 | 339000 | 0.0025 | - |
| 5.2659 | 339500 | 0.003 | - |
| 5.2736 | 340000 | 0.002 | - |
| 5.2814 | 340500 | 0.0058 | - |
| 5.2891 | 341000 | 0.0061 | - |
| 5.2969 | 341500 | 0.0042 | - |
| 5.3046 | 342000 | 0.0025 | - |
| 5.3124 | 342500 | 0.0061 | - |
| 5.3201 | 343000 | 0.0024 | - |
| 5.3279 | 343500 | 0.0083 | - |
| 5.3356 | 344000 | 0.0013 | - |
| 5.3434 | 344500 | 0.003 | - |
| 5.3512 | 345000 | 0.001 | - |
| 5.3589 | 345500 | 0.0058 | - |
| 5.3667 | 346000 | 0.0021 | - |
| 5.3744 | 346500 | 0.0015 | - |
| 5.3822 | 347000 | 0.0018 | - |
| 5.3899 | 347500 | 0.0021 | - |
| 5.3977 | 348000 | 0.0029 | - |
| 5.4054 | 348500 | 0.0018 | - |
| 5.4132 | 349000 | 0.0036 | - |
| 5.4210 | 349500 | 0.0065 | - |
| 5.4287 | 350000 | 0.0052 | 0.779 |
| 5.4365 | 350500 | 0.0023 | - |
| 5.4442 | 351000 | 0.0093 | - |
| 5.4520 | 351500 | 0.0046 | - |
| 5.4597 | 352000 | 0.0009 | - |
| 5.4675 | 352500 | 0.0033 | - |
| 5.4752 | 353000 | 0.0053 | - |
| 5.4830 | 353500 | 0.004 | - |
| 5.4908 | 354000 | 0.0087 | - |
| 5.4985 | 354500 | 0.0021 | - |
| 5.5063 | 355000 | 0.0028 | - |
| 5.5140 | 355500 | 0.002 | - |
| 5.5218 | 356000 | 0.0013 | - |
| 5.5295 | 356500 | 0.003 | - |
| 5.5373 | 357000 | 0.0047 | - |
| 5.5450 | 357500 | 0.002 | - |
| 5.5528 | 358000 | 0.003 | - |
| 5.5606 | 358500 | 0.0037 | - |
| 5.5683 | 359000 | 0.0062 | - |
| 5.5761 | 359500 | 0.0025 | - |
| 5.5838 | 360000 | 0.0044 | - |
| 5.5916 | 360500 | 0.0085 | - |
| 5.5993 | 361000 | 0.0022 | - |
| 5.6071 | 361500 | 0.0063 | - |
| 5.6148 | 362000 | 0.0059 | - |
| 5.6226 | 362500 | 0.0089 | - |
| 5.6304 | 363000 | 0.0054 | - |
| 5.6381 | 363500 | 0.0082 | - |
| 5.6459 | 364000 | 0.0054 | - |
| 5.6536 | 364500 | 0.0022 | - |
| 5.6614 | 365000 | 0.0041 | - |
| 5.6691 | 365500 | 0.006 | - |
| 5.6769 | 366000 | 0.0065 | - |
| 5.6846 | 366500 | 0.0024 | - |
| 5.6924 | 367000 | 0.0021 | - |
| 5.7001 | 367500 | 0.0048 | - |
| 5.7079 | 368000 | 0.0054 | - |
| 5.7157 | 368500 | 0.0033 | - |
| 5.7234 | 369000 | 0.0014 | - |
| 5.7312 | 369500 | 0.0026 | - |
| 5.7389 | 370000 | 0.0042 | - |
| 5.7467 | 370500 | 0.0033 | - |
| 5.7544 | 371000 | 0.0096 | - |
| 5.7622 | 371500 | 0.0031 | - |
| 5.7699 | 372000 | 0.0044 | - |
| 5.7777 | 372500 | 0.0041 | - |
| 5.7855 | 373000 | 0.0024 | - |
| 5.7932 | 373500 | 0.0075 | - |
| 5.8010 | 374000 | 0.0031 | - |
| 5.8087 | 374500 | 0.0023 | - |
| 5.8165 | 375000 | 0.0045 | - |
| 5.8242 | 375500 | 0.0041 | - |
| 5.8320 | 376000 | 0.0063 | - |
| 5.8397 | 376500 | 0.0031 | - |
| 5.8475 | 377000 | 0.0066 | - |
| 5.8553 | 377500 | 0.0069 | - |
| 5.8630 | 378000 | 0.0039 | - |
| 5.8708 | 378500 | 0.0052 | - |
| 5.8785 | 379000 | 0.0024 | - |
| 5.8863 | 379500 | 0.0045 | - |
| 5.8940 | 380000 | 0.0017 | - |
| 5.9018 | 380500 | 0.0055 | - |
| 5.9095 | 381000 | 0.0028 | - |
| 5.9173 | 381500 | 0.0026 | - |
| 5.9251 | 382000 | 0.0026 | - |
| 5.9328 | 382500 | 0.0042 | - |
| 5.9406 | 383000 | 0.002 | - |
| 5.9483 | 383500 | 0.007 | - |
| 5.9561 | 384000 | 0.0064 | - |
| 5.9638 | 384500 | 0.0044 | - |
| 5.9716 | 385000 | 0.0058 | - |
| 5.9793 | 385500 | 0.0087 | - |
| 5.9871 | 386000 | 0.0045 | - |
| 5.9949 | 386500 | 0.0049 | - |
| 6.0 | 386832 | - | 0.782 |
| 6.0026 | 387000 | 0.0028 | - |
| 6.0104 | 387500 | 0.0083 | - |
| 6.0181 | 388000 | 0.0007 | - |
| 6.0259 | 388500 | 0.0023 | - |
| 6.0336 | 389000 | 0.0015 | - |
| 6.0414 | 389500 | 0.0023 | - |
| 6.0491 | 390000 | 0.0027 | - |
| 6.0569 | 390500 | 0.0029 | - |
| 6.0646 | 391000 | 0.0025 | - |
| 6.0724 | 391500 | 0.0032 | - |
| 6.0802 | 392000 | 0.0008 | - |
| 6.0879 | 392500 | 0.0025 | - |
| 6.0957 | 393000 | 0.0022 | - |
| 6.1034 | 393500 | 0.0047 | - |
| 6.1112 | 394000 | 0.0018 | - |
| 6.1189 | 394500 | 0.006 | - |
| 6.1267 | 395000 | 0.0047 | - |
| 6.1344 | 395500 | 0.0049 | - |
| 6.1422 | 396000 | 0.002 | - |
| 6.1500 | 396500 | 0.0039 | - |
| 6.1577 | 397000 | 0.0039 | - |
| 6.1655 | 397500 | 0.0076 | - |
| 6.1732 | 398000 | 0.0038 | - |
| 6.1810 | 398500 | 0.005 | - |
| 6.1887 | 399000 | 0.0019 | - |
| 6.1965 | 399500 | 0.0028 | - |
| 6.2042 | 400000 | 0.0015 | 0.791 |
| 6.2120 | 400500 | 0.003 | - |
| 6.2198 | 401000 | 0.0037 | - |
| 6.2275 | 401500 | 0.0027 | - |
| 6.2353 | 402000 | 0.005 | - |
| 6.2430 | 402500 | 0.0033 | - |
| 6.2508 | 403000 | 0.0035 | - |
| 6.2585 | 403500 | 0.0047 | - |
| 6.2663 | 404000 | 0.0021 | - |
| 6.2740 | 404500 | 0.0013 | - |
| 6.2818 | 405000 | 0.0032 | - |
| 6.2896 | 405500 | 0.001 | - |
| 6.2973 | 406000 | 0.0031 | - |
| 6.3051 | 406500 | 0.0034 | - |
| 6.3128 | 407000 | 0.0008 | - |
| 6.3206 | 407500 | 0.004 | - |
| 6.3283 | 408000 | 0.0034 | - |
| 6.3361 | 408500 | 0.0027 | - |
| 6.3438 | 409000 | 0.0011 | - |
| 6.3516 | 409500 | 0.0015 | - |
| 6.3593 | 410000 | 0.0029 | - |
| 6.3671 | 410500 | 0.0015 | - |
| 6.3749 | 411000 | 0.0013 | - |
| 6.3826 | 411500 | 0.0049 | - |
| 6.3904 | 412000 | 0.0047 | - |
| 6.3981 | 412500 | 0.0025 | - |
| 6.4059 | 413000 | 0.0024 | - |
| 6.4136 | 413500 | 0.0041 | - |
| 6.4214 | 414000 | 0.0026 | - |
| 6.4291 | 414500 | 0.0049 | - |
| 6.4369 | 415000 | 0.0021 | - |
| 6.4447 | 415500 | 0.0021 | - |
| 6.4524 | 416000 | 0.0032 | - |
| 6.4602 | 416500 | 0.0054 | - |
| 6.4679 | 417000 | 0.0019 | - |
| 6.4757 | 417500 | 0.0081 | - |
| 6.4834 | 418000 | 0.0033 | - |
| 6.4912 | 418500 | 0.0021 | - |
| 6.4989 | 419000 | 0.0043 | - |
| 6.5067 | 419500 | 0.0045 | - |
| 6.5145 | 420000 | 0.003 | - |
| 6.5222 | 420500 | 0.0028 | - |
| 6.5300 | 421000 | 0.0029 | - |
| 6.5377 | 421500 | 0.0025 | - |
| 6.5455 | 422000 | 0.002 | - |
| 6.5532 | 422500 | 0.0027 | - |
| 6.5610 | 423000 | 0.0022 | - |
| 6.5687 | 423500 | 0.0015 | - |
| 6.5765 | 424000 | 0.0024 | - |
| 6.5843 | 424500 | 0.0058 | - |
| 6.5920 | 425000 | 0.0026 | - |
| 6.5998 | 425500 | 0.0016 | - |
| 6.6075 | 426000 | 0.0029 | - |
| 6.6153 | 426500 | 0.0033 | - |
| 6.6230 | 427000 | 0.0024 | - |
| 6.6308 | 427500 | 0.0019 | - |
| 6.6385 | 428000 | 0.0058 | - |
| 6.6463 | 428500 | 0.0036 | - |
| 6.6541 | 429000 | 0.0026 | - |
| 6.6618 | 429500 | 0.0038 | - |
| 6.6696 | 430000 | 0.0025 | - |
| 6.6773 | 430500 | 0.0041 | - |
| 6.6851 | 431000 | 0.0022 | - |
| 6.6928 | 431500 | 0.0018 | - |
| 6.7006 | 432000 | 0.0043 | - |
| 6.7083 | 432500 | 0.0029 | - |
| 6.7161 | 433000 | 0.0056 | - |
| 6.7238 | 433500 | 0.003 | - |
| 6.7316 | 434000 | 0.0022 | - |
| 6.7394 | 434500 | 0.003 | - |
| 6.7471 | 435000 | 0.0016 | - |
| 6.7549 | 435500 | 0.0071 | - |
| 6.7626 | 436000 | 0.002 | - |
| 6.7704 | 436500 | 0.0033 | - |
| 6.7781 | 437000 | 0.0029 | - |
| 6.7859 | 437500 | 0.0017 | - |
| 6.7936 | 438000 | 0.0025 | - |
| 6.8014 | 438500 | 0.0029 | - |
| 6.8092 | 439000 | 0.0013 | - |
| 6.8169 | 439500 | 0.0023 | - |
| 6.8247 | 440000 | 0.0015 | - |
| 6.8324 | 440500 | 0.0037 | - |
| 6.8402 | 441000 | 0.0015 | - |
| 6.8479 | 441500 | 0.0014 | - |
| 6.8557 | 442000 | 0.0011 | - |
| 6.8634 | 442500 | 0.0038 | - |
| 6.8712 | 443000 | 0.0039 | - |
| 6.8790 | 443500 | 0.0028 | - |
| 6.8867 | 444000 | 0.0048 | - |
| 6.8945 | 444500 | 0.0042 | - |
| 6.9022 | 445000 | 0.0013 | - |
| 6.9100 | 445500 | 0.0027 | - |
| 6.9177 | 446000 | 0.0036 | - |
| 6.9255 | 446500 | 0.0028 | - |
| 6.9332 | 447000 | 0.0044 | - |
| 6.9410 | 447500 | 0.0016 | - |
| 6.9488 | 448000 | 0.0018 | - |
| 6.9565 | 448500 | 0.0036 | - |
| 6.9643 | 449000 | 0.0032 | - |
| 6.9720 | 449500 | 0.0044 | - |
| 6.9798 | 450000 | 0.0029 | 0.79 |
| 6.9875 | 450500 | 0.0016 | - |
| 6.9953 | 451000 | 0.0032 | - |
| 7.0 | 451304 | - | 0.7915 |
| 7.0030 | 451500 | 0.0038 | - |
| 7.0108 | 452000 | 0.0016 | - |
| 7.0186 | 452500 | 0.0018 | - |
| 7.0263 | 453000 | 0.0011 | - |
| 7.0341 | 453500 | 0.0009 | - |
| 7.0418 | 454000 | 0.0055 | - |
| 7.0496 | 454500 | 0.0027 | - |
| 7.0573 | 455000 | 0.0027 | - |
| 7.0651 | 455500 | 0.0034 | - |
| 7.0728 | 456000 | 0.0014 | - |
| 7.0806 | 456500 | 0.0031 | - |
| 7.0883 | 457000 | 0.0009 | - |
| 7.0961 | 457500 | 0.0023 | - |
| 7.1039 | 458000 | 0.0019 | - |
| 7.1116 | 458500 | 0.0054 | - |
| 7.1194 | 459000 | 0.0062 | - |
| 7.1271 | 459500 | 0.0007 | - |
| 7.1349 | 460000 | 0.0008 | - |
| 7.1426 | 460500 | 0.0034 | - |
| 7.1504 | 461000 | 0.0008 | - |
| 7.1581 | 461500 | 0.0008 | - |
| 7.1659 | 462000 | 0.004 | - |
| 7.1737 | 462500 | 0.0014 | - |
| 7.1814 | 463000 | 0.0012 | - |
| 7.1892 | 463500 | 0.0012 | - |
| 7.1969 | 464000 | 0.0019 | - |
| 7.2047 | 464500 | 0.0016 | - |
| 7.2124 | 465000 | 0.0053 | - |
| 7.2202 | 465500 | 0.0016 | - |
| 7.2279 | 466000 | 0.0008 | - |
| 7.2357 | 466500 | 0.0025 | - |
| 7.2435 | 467000 | 0.0009 | - |
| 7.2512 | 467500 | 0.0017 | - |
| 7.2590 | 468000 | 0.0009 | - |
| 7.2667 | 468500 | 0.0019 | - |
| 7.2745 | 469000 | 0.0033 | - |
| 7.2822 | 469500 | 0.0009 | - |
| 7.2900 | 470000 | 0.0019 | - |
| 7.2977 | 470500 | 0.0017 | - |
| 7.3055 | 471000 | 0.0024 | - |
| 7.3133 | 471500 | 0.0015 | - |
| 7.3210 | 472000 | 0.0011 | - |
| 7.3288 | 472500 | 0.0036 | - |
| 7.3365 | 473000 | 0.0005 | - |
| 7.3443 | 473500 | 0.0012 | - |
| 7.3520 | 474000 | 0.0027 | - |
| 7.3598 | 474500 | 0.0022 | - |
| 7.3675 | 475000 | 0.0003 | - |
| 7.3753 | 475500 | 0.0019 | - |
| 7.3831 | 476000 | 0.0019 | - |
| 7.3908 | 476500 | 0.002 | - |
| 7.3986 | 477000 | 0.0018 | - |
| 7.4063 | 477500 | 0.0026 | - |
| 7.4141 | 478000 | 0.0006 | - |
| 7.4218 | 478500 | 0.0028 | - |
| 7.4296 | 479000 | 0.0031 | - |
| 7.4373 | 479500 | 0.0057 | - |
| 7.4451 | 480000 | 0.0017 | - |
| 7.4528 | 480500 | 0.0016 | - |
| 7.4606 | 481000 | 0.0009 | - |
| 7.4684 | 481500 | 0.0005 | - |
| 7.4761 | 482000 | 0.0024 | - |
| 7.4839 | 482500 | 0.0058 | - |
| 7.4916 | 483000 | 0.0032 | - |
| 7.4994 | 483500 | 0.0021 | - |
| 7.5071 | 484000 | 0.0013 | - |
| 7.5149 | 484500 | 0.0023 | - |
| 7.5226 | 485000 | 0.0015 | - |
| 7.5304 | 485500 | 0.0037 | - |
| 7.5382 | 486000 | 0.002 | - |
| 7.5459 | 486500 | 0.0026 | - |
| 7.5537 | 487000 | 0.003 | - |
| 7.5614 | 487500 | 0.0049 | - |
| 7.5692 | 488000 | 0.0017 | - |
| 7.5769 | 488500 | 0.001 | - |
| 7.5847 | 489000 | 0.0015 | - |
| 7.5924 | 489500 | 0.0011 | - |
| 7.6002 | 490000 | 0.0016 | - |
| 7.6080 | 490500 | 0.004 | - |
| 7.6157 | 491000 | 0.0023 | - |
| 7.6235 | 491500 | 0.0024 | - |
| 7.6312 | 492000 | 0.0019 | - |
| 7.6390 | 492500 | 0.001 | - |
| 7.6467 | 493000 | 0.0018 | - |
| 7.6545 | 493500 | 0.0014 | - |
| 7.6622 | 494000 | 0.0003 | - |
| 7.6700 | 494500 | 0.0016 | - |
| 7.6778 | 495000 | 0.0009 | - |
| 7.6855 | 495500 | 0.0015 | - |
| 7.6933 | 496000 | 0.0023 | - |
| 7.7010 | 496500 | 0.001 | - |
| 7.7088 | 497000 | 0.0017 | - |
| 7.7165 | 497500 | 0.0032 | - |
| 7.7243 | 498000 | 0.0018 | - |
| 7.7320 | 498500 | 0.0038 | - |
| 7.7398 | 499000 | 0.0013 | - |
| 7.7475 | 499500 | 0.0018 | - |
| 7.7553 | 500000 | 0.0014 | 0.822 |
| 7.7631 | 500500 | 0.0017 | - |
| 7.7708 | 501000 | 0.0009 | - |
| 7.7786 | 501500 | 0.0024 | - |
| 7.7863 | 502000 | 0.0007 | - |
| 7.7941 | 502500 | 0.0023 | - |
| 7.8018 | 503000 | 0.0022 | - |
| 7.8096 | 503500 | 0.0018 | - |
| 7.8173 | 504000 | 0.0025 | - |
| 7.8251 | 504500 | 0.0044 | - |
| 7.8329 | 505000 | 0.0019 | - |
| 7.8406 | 505500 | 0.0009 | - |
| 7.8484 | 506000 | 0.0026 | - |
| 7.8561 | 506500 | 0.0007 | - |
| 7.8639 | 507000 | 0.0018 | - |
| 7.8716 | 507500 | 0.0013 | - |
| 7.8794 | 508000 | 0.0024 | - |
| 7.8871 | 508500 | 0.0025 | - |
| 7.8949 | 509000 | 0.0014 | - |
| 7.9027 | 509500 | 0.0009 | - |
| 7.9104 | 510000 | 0.0017 | - |
| 7.9182 | 510500 | 0.005 | - |
| 7.9259 | 511000 | 0.0012 | - |
| 7.9337 | 511500 | 0.0007 | - |
| 7.9414 | 512000 | 0.0015 | - |
| 7.9492 | 512500 | 0.0024 | - |
| 7.9569 | 513000 | 0.0011 | - |
| 7.9647 | 513500 | 0.001 | - |
| 7.9725 | 514000 | 0.0028 | - |
| 7.9802 | 514500 | 0.0017 | - |
| 7.9880 | 515000 | 0.0006 | - |
| 7.9957 | 515500 | 0.0039 | - |
| 8.0 | 515776 | - | 0.8215 |
| 8.0035 | 516000 | 0.0012 | - |
| 8.0112 | 516500 | 0.0017 | - |
| 8.0190 | 517000 | 0.0025 | - |
| 8.0267 | 517500 | 0.0005 | - |
| 8.0345 | 518000 | 0.0034 | - |
| 8.0423 | 518500 | 0.0008 | - |
| 8.0500 | 519000 | 0.005 | - |
| 8.0578 | 519500 | 0.0022 | - |
| 8.0655 | 520000 | 0.0006 | - |
| 8.0733 | 520500 | 0.0015 | - |
| 8.0810 | 521000 | 0.0008 | - |
| 8.0888 | 521500 | 0.0012 | - |
| 8.0965 | 522000 | 0.0007 | - |
| 8.1043 | 522500 | 0.0004 | - |
| 8.1120 | 523000 | 0.0019 | - |
| 8.1198 | 523500 | 0.0017 | - |
| 8.1276 | 524000 | 0.0008 | - |
| 8.1353 | 524500 | 0.0042 | - |
| 8.1431 | 525000 | 0.0019 | - |
| 8.1508 | 525500 | 0.0007 | - |
| 8.1586 | 526000 | 0.0019 | - |
| 8.1663 | 526500 | 0.003 | - |
| 8.1741 | 527000 | 0.0008 | - |
| 8.1818 | 527500 | 0.0012 | - |
| 8.1896 | 528000 | 0.0007 | - |
| 8.1974 | 528500 | 0.0024 | - |
| 8.2051 | 529000 | 0.0018 | - |
| 8.2129 | 529500 | 0.0026 | - |
| 8.2206 | 530000 | 0.0007 | - |
| 8.2284 | 530500 | 0.003 | - |
| 8.2361 | 531000 | 0.0023 | - |
| 8.2439 | 531500 | 0.0009 | - |
| 8.2516 | 532000 | 0.0014 | - |
| 8.2594 | 532500 | 0.0009 | - |
| 8.2672 | 533000 | 0.0013 | - |
| 8.2749 | 533500 | 0.0032 | - |
| 8.2827 | 534000 | 0.0025 | - |
| 8.2904 | 534500 | 0.0011 | - |
| 8.2982 | 535000 | 0.0045 | - |
| 8.3059 | 535500 | 0.0015 | - |
| 8.3137 | 536000 | 0.0008 | - |
| 8.3214 | 536500 | 0.0023 | - |
| 8.3292 | 537000 | 0.0041 | - |
| 8.3370 | 537500 | 0.0023 | - |
| 8.3447 | 538000 | 0.0027 | - |
| 8.3525 | 538500 | 0.004 | - |
| 8.3602 | 539000 | 0.0018 | - |
| 8.3680 | 539500 | 0.0037 | - |
| 8.3757 | 540000 | 0.0014 | - |
| 8.3835 | 540500 | 0.0008 | - |
| 8.3912 | 541000 | 0.0006 | - |
| 8.3990 | 541500 | 0.0009 | - |
| 8.4068 | 542000 | 0.0016 | - |
| 8.4145 | 542500 | 0.0012 | - |
| 8.4223 | 543000 | 0.0012 | - |
| 8.4300 | 543500 | 0.0008 | - |
| 8.4378 | 544000 | 0.002 | - |
| 8.4455 | 544500 | 0.0005 | - |
| 8.4533 | 545000 | 0.0013 | - |
| 8.4610 | 545500 | 0.0004 | - |
| 8.4688 | 546000 | 0.0024 | - |
| 8.4765 | 546500 | 0.0021 | - |
| 8.4843 | 547000 | 0.0017 | - |
| 8.4921 | 547500 | 0.0033 | - |
| 8.4998 | 548000 | 0.0036 | - |
| 8.5076 | 548500 | 0.0015 | - |
| 8.5153 | 549000 | 0.001 | - |
| 8.5231 | 549500 | 0.0037 | - |
| 8.5308 | 550000 | 0.0011 | 0.824 |
| 8.5386 | 550500 | 0.0014 | - |
| 8.5463 | 551000 | 0.0026 | - |
| 8.5541 | 551500 | 0.0017 | - |
| 8.5619 | 552000 | 0.0021 | - |
| 8.5696 | 552500 | 0.0014 | - |
| 8.5774 | 553000 | 0.0015 | - |
| 8.5851 | 553500 | 0.0025 | - |
| 8.5929 | 554000 | 0.001 | - |
| 8.6006 | 554500 | 0.001 | - |
| 8.6084 | 555000 | 0.0016 | - |
| 8.6161 | 555500 | 0.0011 | - |
| 8.6239 | 556000 | 0.0018 | - |
| 8.6317 | 556500 | 0.0012 | - |
| 8.6394 | 557000 | 0.002 | - |
| 8.6472 | 557500 | 0.0007 | - |
| 8.6549 | 558000 | 0.0005 | - |
| 8.6627 | 558500 | 0.0013 | - |
| 8.6704 | 559000 | 0.0046 | - |
| 8.6782 | 559500 | 0.001 | - |
| 8.6859 | 560000 | 0.0015 | - |
| 8.6937 | 560500 | 0.0012 | - |
| 8.7015 | 561000 | 0.0011 | - |
| 8.7092 | 561500 | 0.0012 | - |
| 8.7170 | 562000 | 0.0005 | - |
| 8.7247 | 562500 | 0.0014 | - |
| 8.7325 | 563000 | 0.0004 | - |
| 8.7402 | 563500 | 0.0009 | - |
| 8.7480 | 564000 | 0.0022 | - |
| 8.7557 | 564500 | 0.0005 | - |
| 8.7635 | 565000 | 0.0037 | - |
| 8.7712 | 565500 | 0.0003 | - |
| 8.7790 | 566000 | 0.0023 | - |
| 8.7868 | 566500 | 0.0008 | - |
| 8.7945 | 567000 | 0.0007 | - |
| 8.8023 | 567500 | 0.0025 | - |
| 8.8100 | 568000 | 0.0018 | - |
| 8.8178 | 568500 | 0.0056 | - |
| 8.8255 | 569000 | 0.0014 | - |
| 8.8333 | 569500 | 0.0008 | - |
| 8.8410 | 570000 | 0.0007 | - |
| 8.8488 | 570500 | 0.0039 | - |
| 8.8566 | 571000 | 0.0012 | - |
| 8.8643 | 571500 | 0.0013 | - |
| 8.8721 | 572000 | 0.0017 | - |
| 8.8798 | 572500 | 0.0009 | - |
| 8.8876 | 573000 | 0.0009 | - |
| 8.8953 | 573500 | 0.0008 | - |
| 8.9031 | 574000 | 0.002 | - |
| 8.9108 | 574500 | 0.001 | - |
| 8.9186 | 575000 | 0.0005 | - |
| 8.9264 | 575500 | 0.0011 | - |
| 8.9341 | 576000 | 0.0009 | - |
| 8.9419 | 576500 | 0.0024 | - |
| 8.9496 | 577000 | 0.0017 | - |
| 8.9574 | 577500 | 0.0023 | - |
| 8.9651 | 578000 | 0.0033 | - |
| 8.9729 | 578500 | 0.0029 | - |
| 8.9806 | 579000 | 0.0015 | - |
| 8.9884 | 579500 | 0.0018 | - |
| 8.9962 | 580000 | 0.0013 | - |
| 9.0 | 580248 | - | 0.842 |
| 9.0039 | 580500 | 0.0004 | - |
| 9.0117 | 581000 | 0.0011 | - |
| 9.0194 | 581500 | 0.0016 | - |
| 9.0272 | 582000 | 0.0018 | - |
| 9.0349 | 582500 | 0.001 | - |
| 9.0427 | 583000 | 0.0013 | - |
| 9.0504 | 583500 | 0.0014 | - |
| 9.0582 | 584000 | 0.0007 | - |
| 9.0660 | 584500 | 0.0027 | - |
| 9.0737 | 585000 | 0.0006 | - |
| 9.0815 | 585500 | 0.002 | - |
| 9.0892 | 586000 | 0.0011 | - |
| 9.0970 | 586500 | 0.0005 | - |
| 9.1047 | 587000 | 0.0015 | - |
| 9.1125 | 587500 | 0.0004 | - |
| 9.1202 | 588000 | 0.0006 | - |
| 9.1280 | 588500 | 0.004 | - |
| 9.1357 | 589000 | 0.0014 | - |
| 9.1435 | 589500 | 0.0013 | - |
| 9.1513 | 590000 | 0.0016 | - |
| 9.1590 | 590500 | 0.0005 | - |
| 9.1668 | 591000 | 0.001 | - |
| 9.1745 | 591500 | 0.0032 | - |
| 9.1823 | 592000 | 0.0038 | - |
| 9.1900 | 592500 | 0.0008 | - |
| 9.1978 | 593000 | 0.0021 | - |
| 9.2055 | 593500 | 0.0003 | - |
| 9.2133 | 594000 | 0.0002 | - |
| 9.2211 | 594500 | 0.0006 | - |
| 9.2288 | 595000 | 0.0008 | - |
| 9.2366 | 595500 | 0.0005 | - |
| 9.2443 | 596000 | 0.0014 | - |
| 9.2521 | 596500 | 0.0022 | - |
| 9.2598 | 597000 | 0.0009 | - |
| 9.2676 | 597500 | 0.0033 | - |
| 9.2753 | 598000 | 0.0014 | - |
| 9.2831 | 598500 | 0.0011 | - |
| 9.2909 | 599000 | 0.0007 | - |
| 9.2986 | 599500 | 0.0007 | - |
| 9.3064 | 600000 | 0.0006 | 0.845 |
| 9.3141 | 600500 | 0.0012 | - |
| 9.3219 | 601000 | 0.0007 | - |
| 9.3296 | 601500 | 0.0022 | - |
| 9.3374 | 602000 | 0.0017 | - |
| 9.3451 | 602500 | 0.0006 | - |
| 9.3529 | 603000 | 0.0004 | - |
| 9.3607 | 603500 | 0.0013 | - |
| 9.3684 | 604000 | 0.0009 | - |
| 9.3762 | 604500 | 0.0003 | - |
| 9.3839 | 605000 | 0.0018 | - |
| 9.3917 | 605500 | 0.0008 | - |
| 9.3994 | 606000 | 0.0013 | - |
| 9.4072 | 606500 | 0.0007 | - |
| 9.4149 | 607000 | 0.0006 | - |
| 9.4227 | 607500 | 0.0013 | - |
| 9.4305 | 608000 | 0.0004 | - |
| 9.4382 | 608500 | 0.0004 | - |
| 9.4460 | 609000 | 0.001 | - |
| 9.4537 | 609500 | 0.001 | - |
| 9.4615 | 610000 | 0.0006 | - |
| 9.4692 | 610500 | 0.0008 | - |
| 9.4770 | 611000 | 0.0017 | - |
| 9.4847 | 611500 | 0.0005 | - |
| 9.4925 | 612000 | 0.0012 | - |
| 9.5002 | 612500 | 0.0007 | - |
| 9.5080 | 613000 | 0.0009 | - |
| 9.5158 | 613500 | 0.0012 | - |
| 9.5235 | 614000 | 0.0019 | - |
| 9.5313 | 614500 | 0.001 | - |
| 9.5390 | 615000 | 0.0002 | - |
| 9.5468 | 615500 | 0.0048 | - |
| 9.5545 | 616000 | 0.0014 | - |
| 9.5623 | 616500 | 0.0004 | - |
| 9.5700 | 617000 | 0.0011 | - |
| 9.5778 | 617500 | 0.0014 | - |
| 9.5856 | 618000 | 0.0017 | - |
| 9.5933 | 618500 | 0.0015 | - |
| 9.6011 | 619000 | 0.0017 | - |
| 9.6088 | 619500 | 0.0014 | - |
| 9.6166 | 620000 | 0.0006 | - |
| 9.6243 | 620500 | 0.0009 | - |
| 9.6321 | 621000 | 0.0011 | - |
| 9.6398 | 621500 | 0.0002 | - |
| 9.6476 | 622000 | 0.0018 | - |
| 9.6554 | 622500 | 0.0012 | - |
| 9.6631 | 623000 | 0.0018 | - |
| 9.6709 | 623500 | 0.0006 | - |
| 9.6786 | 624000 | 0.0022 | - |
| 9.6864 | 624500 | 0.0003 | - |
| 9.6941 | 625000 | 0.0035 | - |
| 9.7019 | 625500 | 0.0021 | - |
| 9.7096 | 626000 | 0.003 | - |
| 9.7174 | 626500 | 0.0005 | - |
| 9.7252 | 627000 | 0.0009 | - |
| 9.7329 | 627500 | 0.001 | - |
| 9.7407 | 628000 | 0.0005 | - |
| 9.7484 | 628500 | 0.0007 | - |
| 9.7562 | 629000 | 0.0019 | - |
| 9.7639 | 629500 | 0.0017 | - |
| 9.7717 | 630000 | 0.0016 | - |
| 9.7794 | 630500 | 0.0003 | - |
| 9.7872 | 631000 | 0.002 | - |
| 9.7949 | 631500 | 0.0007 | - |
| 9.8027 | 632000 | 0.0002 | - |
| 9.8105 | 632500 | 0.0008 | - |
| 9.8182 | 633000 | 0.0006 | - |
| 9.8260 | 633500 | 0.0005 | - |
| 9.8337 | 634000 | 0.0005 | - |
| 9.8415 | 634500 | 0.0007 | - |
| 9.8492 | 635000 | 0.0019 | - |
| 9.8570 | 635500 | 0.0016 | - |
| 9.8647 | 636000 | 0.0027 | - |
| 9.8725 | 636500 | 0.0018 | - |
| 9.8803 | 637000 | 0.0005 | - |
| 9.8880 | 637500 | 0.0008 | - |
| 9.8958 | 638000 | 0.0007 | - |
| 9.9035 | 638500 | 0.0014 | - |
| 9.9113 | 639000 | 0.0011 | - |
| 9.9190 | 639500 | 0.001 | - |
| 9.9268 | 640000 | 0.0011 | - |
| 9.9345 | 640500 | 0.0012 | - |
| 9.9423 | 641000 | 0.0019 | - |
| 9.9501 | 641500 | 0.0014 | - |
| 9.9578 | 642000 | 0.0007 | - |
| 9.9656 | 642500 | 0.0006 | - |
| 9.9733 | 643000 | 0.0007 | - |
| 9.9811 | 643500 | 0.0052 | - |
| 9.9888 | 644000 | 0.0002 | - |
| 9.9966 | 644500 | 0.0013 | - |
| 10.0 | 644720 | - | 0.848 |
| 10.0043 | 645000 | 0.0011 | - |
| 10.0121 | 645500 | 0.0003 | - |
| 10.0199 | 646000 | 0.0014 | - |
| 10.0276 | 646500 | 0.0006 | - |
| 10.0354 | 647000 | 0.0018 | - |
| 10.0431 | 647500 | 0.0005 | - |
| 10.0509 | 648000 | 0.0007 | - |
| 10.0586 | 648500 | 0.0005 | - |
| 10.0664 | 649000 | 0.0015 | - |
| 10.0741 | 649500 | 0.0004 | - |
| 10.0819 | 650000 | 0.001 | 0.852 |
| 10.0897 | 650500 | 0.0006 | - |
| 10.0974 | 651000 | 0.001 | - |
| 10.1052 | 651500 | 0.004 | - |
| 10.1129 | 652000 | 0.0013 | - |
| 10.1207 | 652500 | 0.0011 | - |
| 10.1284 | 653000 | 0.0004 | - |
| 10.1362 | 653500 | 0.0003 | - |
| 10.1439 | 654000 | 0.0003 | - |
| 10.1517 | 654500 | 0.0009 | - |
| 10.1594 | 655000 | 0.0006 | - |
| 10.1672 | 655500 | 0.0004 | - |
| 10.1750 | 656000 | 0.0003 | - |
| 10.1827 | 656500 | 0.0003 | - |
| 10.1905 | 657000 | 0.0003 | - |
| 10.1982 | 657500 | 0.0002 | - |
| 10.2060 | 658000 | 0.0005 | - |
| 10.2137 | 658500 | 0.0006 | - |
| 10.2215 | 659000 | 0.0008 | - |
| 10.2292 | 659500 | 0.0028 | - |
| 10.2370 | 660000 | 0.0035 | - |
| 10.2448 | 660500 | 0.001 | - |
| 10.2525 | 661000 | 0.0007 | - |
| 10.2603 | 661500 | 0.0003 | - |
| 10.2680 | 662000 | 0.0006 | - |
| 10.2758 | 662500 | 0.0006 | - |
| 10.2835 | 663000 | 0.0007 | - |
| 10.2913 | 663500 | 0.0003 | - |
| 10.2990 | 664000 | 0.001 | - |
| 10.3068 | 664500 | 0.0023 | - |
| 10.3146 | 665000 | 0.0012 | - |
| 10.3223 | 665500 | 0.0071 | - |
| 10.3301 | 666000 | 0.0027 | - |
| 10.3378 | 666500 | 0.0008 | - |
| 10.3456 | 667000 | 0.0019 | - |
| 10.3533 | 667500 | 0.0007 | - |
| 10.3611 | 668000 | 0.0008 | - |
| 10.3688 | 668500 | 0.0008 | - |
| 10.3766 | 669000 | 0.0008 | - |
| 10.3844 | 669500 | 0.0009 | - |
| 10.3921 | 670000 | 0.0002 | - |
| 10.3999 | 670500 | 0.0019 | - |
| 10.4076 | 671000 | 0.0014 | - |
| 10.4154 | 671500 | 0.0015 | - |
| 10.4231 | 672000 | 0.0017 | - |
| 10.4309 | 672500 | 0.0033 | - |
| 10.4386 | 673000 | 0.0024 | - |
| 10.4464 | 673500 | 0.0006 | - |
| 10.4542 | 674000 | 0.0003 | - |
| 10.4619 | 674500 | 0.0003 | - |
| 10.4697 | 675000 | 0.0008 | - |
| 10.4774 | 675500 | 0.0005 | - |
| 10.4852 | 676000 | 0.0008 | - |
| 10.4929 | 676500 | 0.0008 | - |
| 10.5007 | 677000 | 0.0005 | - |
| 10.5084 | 677500 | 0.0004 | - |
| 10.5162 | 678000 | 0.0005 | - |
| 10.5239 | 678500 | 0.0012 | - |
| 10.5317 | 679000 | 0.0005 | - |
| 10.5395 | 679500 | 0.0002 | - |
| 10.5472 | 680000 | 0.0004 | - |
| 10.5550 | 680500 | 0.0038 | - |
| 10.5627 | 681000 | 0.0052 | - |
| 10.5705 | 681500 | 0.0013 | - |
| 10.5782 | 682000 | 0.0006 | - |
| 10.5860 | 682500 | 0.0005 | - |
| 10.5937 | 683000 | 0.0007 | - |
| 10.6015 | 683500 | 0.0009 | - |
| 10.6093 | 684000 | 0.002 | - |
| 10.6170 | 684500 | 0.0014 | - |
| 10.6248 | 685000 | 0.0009 | - |
| 10.6325 | 685500 | 0.0004 | - |
| 10.6403 | 686000 | 0.0005 | - |
| 10.6480 | 686500 | 0.0022 | - |
| 10.6558 | 687000 | 0.0014 | - |
| 10.6635 | 687500 | 0.0003 | - |
| 10.6713 | 688000 | 0.0003 | - |
| 10.6791 | 688500 | 0.0013 | - |
| 10.6868 | 689000 | 0.0006 | - |
| 10.6946 | 689500 | 0.0015 | - |
| 10.7023 | 690000 | 0.0004 | - |
| 10.7101 | 690500 | 0.0002 | - |
| 10.7178 | 691000 | 0.002 | - |
| 10.7256 | 691500 | 0.0004 | - |
| 10.7333 | 692000 | 0.0003 | - |
| 10.7411 | 692500 | 0.0003 | - |
| 10.7489 | 693000 | 0.0004 | - |
| 10.7566 | 693500 | 0.0059 | - |
| 10.7644 | 694000 | 0.0005 | - |
| 10.7721 | 694500 | 0.002 | - |
| 10.7799 | 695000 | 0.0004 | - |
| 10.7876 | 695500 | 0.0008 | - |
| 10.7954 | 696000 | 0.0005 | - |
| 10.8031 | 696500 | 0.0011 | - |
| 10.8109 | 697000 | 0.0005 | - |
| 10.8186 | 697500 | 0.0007 | - |
| 10.8264 | 698000 | 0.0026 | - |
| 10.8342 | 698500 | 0.0004 | - |
| 10.8419 | 699000 | 0.0017 | - |
| 10.8497 | 699500 | 0.0013 | - |
| 10.8574 | 700000 | 0.0007 | 0.855 |
| 10.8652 | 700500 | 0.0013 | - |
| 10.8729 | 701000 | 0.0012 | - |
| 10.8807 | 701500 | 0.0011 | - |
| 10.8884 | 702000 | 0.0012 | - |
| 10.8962 | 702500 | 0.0008 | - |
| 10.9040 | 703000 | 0.0004 | - |
| 10.9117 | 703500 | 0.0002 | - |
| 10.9195 | 704000 | 0.0005 | - |
| 10.9272 | 704500 | 0.0018 | - |
| 10.9350 | 705000 | 0.0008 | - |
| 10.9427 | 705500 | 0.0014 | - |
| 10.9505 | 706000 | 0.0016 | - |
| 10.9582 | 706500 | 0.0005 | - |
| 10.9660 | 707000 | 0.0022 | - |
| 10.9738 | 707500 | 0.0008 | - |
| 10.9815 | 708000 | 0.0006 | - |
| 10.9893 | 708500 | 0.0009 | - |
| 10.9970 | 709000 | 0.0003 | - |
| 11.0 | 709192 | - | 0.8655 |
| 11.0048 | 709500 | 0.0008 | - |
| 11.0125 | 710000 | 0.0007 | - |
| 11.0203 | 710500 | 0.0007 | - |
| 11.0280 | 711000 | 0.0007 | - |
| 11.0358 | 711500 | 0.0011 | - |
| 11.0436 | 712000 | 0.0008 | - |
| 11.0513 | 712500 | 0.0004 | - |
| 11.0591 | 713000 | 0.0005 | - |
| 11.0668 | 713500 | 0.0034 | - |
| 11.0746 | 714000 | 0.0002 | - |
| 11.0823 | 714500 | 0.0024 | - |
| 11.0901 | 715000 | 0.0004 | - |
| 11.0978 | 715500 | 0.0019 | - |
| 11.1056 | 716000 | 0.0005 | - |
| 11.1134 | 716500 | 0.0014 | - |
| 11.1211 | 717000 | 0.0009 | - |
| 11.1289 | 717500 | 0.0003 | - |
| 11.1366 | 718000 | 0.0004 | - |
| 11.1444 | 718500 | 0.0003 | - |
| 11.1521 | 719000 | 0.0012 | - |
| 11.1599 | 719500 | 0.0003 | - |
| 11.1676 | 720000 | 0.0006 | - |
| 11.1754 | 720500 | 0.0003 | - |
| 11.1831 | 721000 | 0.0009 | - |
| 11.1909 | 721500 | 0.0006 | - |
| 11.1987 | 722000 | 0.0004 | - |
| 11.2064 | 722500 | 0.0008 | - |
| 11.2142 | 723000 | 0.0023 | - |
| 11.2219 | 723500 | 0.0006 | - |
| 11.2297 | 724000 | 0.0005 | - |
| 11.2374 | 724500 | 0.0005 | - |
| 11.2452 | 725000 | 0.0006 | - |
| 11.2529 | 725500 | 0.0002 | - |
| 11.2607 | 726000 | 0.0005 | - |
| 11.2685 | 726500 | 0.0008 | - |
| 11.2762 | 727000 | 0.0015 | - |
| 11.2840 | 727500 | 0.0002 | - |
| 11.2917 | 728000 | 0.0006 | - |
| 11.2995 | 728500 | 0.0008 | - |
| 11.3072 | 729000 | 0.0003 | - |
| 11.3150 | 729500 | 0.0008 | - |
| 11.3227 | 730000 | 0.0006 | - |
| 11.3305 | 730500 | 0.0003 | - |
| 11.3383 | 731000 | 0.0012 | - |
| 11.3460 | 731500 | 0.001 | - |
| 11.3538 | 732000 | 0.0016 | - |
| 11.3615 | 732500 | 0.0016 | - |
| 11.3693 | 733000 | 0.0011 | - |
| 11.3770 | 733500 | 0.0004 | - |
| 11.3848 | 734000 | 0.0014 | - |
| 11.3925 | 734500 | 0.0003 | - |
| 11.4003 | 735000 | 0.0002 | - |
| 11.4081 | 735500 | 0.0005 | - |
| 11.4158 | 736000 | 0.0018 | - |
| 11.4236 | 736500 | 0.0002 | - |
| 11.4313 | 737000 | 0.001 | - |
| 11.4391 | 737500 | 0.0002 | - |
| 11.4468 | 738000 | 0.0003 | - |
| 11.4546 | 738500 | 0.0002 | - |
| 11.4623 | 739000 | 0.0002 | - |
| 11.4701 | 739500 | 0.002 | - |
| 11.4779 | 740000 | 0.0009 | - |
| 11.4856 | 740500 | 0.0004 | - |
| 11.4934 | 741000 | 0.0004 | - |
| 11.5011 | 741500 | 0.0004 | - |
| 11.5089 | 742000 | 0.0004 | - |
| 11.5166 | 742500 | 0.001 | - |
| 11.5244 | 743000 | 0.0004 | - |
| 11.5321 | 743500 | 0.0006 | - |
| 11.5399 | 744000 | 0.0005 | - |
| 11.5476 | 744500 | 0.0003 | - |
| 11.5554 | 745000 | 0.0004 | - |
| 11.5632 | 745500 | 0.0003 | - |
| 11.5709 | 746000 | 0.0015 | - |
| 11.5787 | 746500 | 0.0005 | - |
| 11.5864 | 747000 | 0.0007 | - |
| 11.5942 | 747500 | 0.0005 | - |
| 11.6019 | 748000 | 0.0018 | - |
| 11.6097 | 748500 | 0.0013 | - |
| 11.6174 | 749000 | 0.0009 | - |
| 11.6252 | 749500 | 0.0004 | - |
| 11.6330 | 750000 | 0.0013 | 0.8735 |
| 11.6407 | 750500 | 0.0007 | - |
| 11.6485 | 751000 | 0.0022 | - |
| 11.6562 | 751500 | 0.0002 | - |
| 11.6640 | 752000 | 0.0013 | - |
| 11.6717 | 752500 | 0.0004 | - |
| 11.6795 | 753000 | 0.0019 | - |
| 11.6872 | 753500 | 0.0003 | - |
| 11.6950 | 754000 | 0.0006 | - |
| 11.7028 | 754500 | 0.0007 | - |
| 11.7105 | 755000 | 0.0002 | - |
| 11.7183 | 755500 | 0.0008 | - |
| 11.7260 | 756000 | 0.0011 | - |
| 11.7338 | 756500 | 0.0005 | - |
| 11.7415 | 757000 | 0.0008 | - |
| 11.7493 | 757500 | 0.0004 | - |
| 11.7570 | 758000 | 0.0011 | - |
| 11.7648 | 758500 | 0.0011 | - |
| 11.7726 | 759000 | 0.001 | - |
| 11.7803 | 759500 | 0.0001 | - |
| 11.7881 | 760000 | 0.0005 | - |
| 11.7958 | 760500 | 0.0007 | - |
| 11.8036 | 761000 | 0.0005 | - |
| 11.8113 | 761500 | 0.0012 | - |
| 11.8191 | 762000 | 0.0003 | - |
| 11.8268 | 762500 | 0.0005 | - |
| 11.8346 | 763000 | 0.0003 | - |
| 11.8424 | 763500 | 0.0002 | - |
| 11.8501 | 764000 | 0.0006 | - |
| 11.8579 | 764500 | 0.0004 | - |
| 11.8656 | 765000 | 0.0006 | - |
| 11.8734 | 765500 | 0.0017 | - |
| 11.8811 | 766000 | 0.0002 | - |
| 11.8889 | 766500 | 0.0003 | - |
| 11.8966 | 767000 | 0.0003 | - |
| 11.9044 | 767500 | 0.0006 | - |
| 11.9121 | 768000 | 0.0007 | - |
| 11.9199 | 768500 | 0.0002 | - |
| 11.9277 | 769000 | 0.0021 | - |
| 11.9354 | 769500 | 0.0008 | - |
| 11.9432 | 770000 | 0.0004 | - |
| 11.9509 | 770500 | 0.0003 | - |
| 11.9587 | 771000 | 0.0004 | - |
| 11.9664 | 771500 | 0.0003 | - |
| 11.9742 | 772000 | 0.0002 | - |
| 11.9819 | 772500 | 0.0016 | - |
| 11.9897 | 773000 | 0.0004 | - |
| 11.9975 | 773500 | 0.0003 | - |
| 12.0 | 773664 | - | 0.8735 |
| 12.0052 | 774000 | 0.0013 | - |
| 12.0130 | 774500 | 0.0007 | - |
| 12.0207 | 775000 | 0.0002 | - |
| 12.0285 | 775500 | 0.0004 | - |
| 12.0362 | 776000 | 0.0001 | - |
| 12.0440 | 776500 | 0.0005 | - |
| 12.0517 | 777000 | 0.0002 | - |
| 12.0595 | 777500 | 0.0005 | - |
| 12.0673 | 778000 | 0.0003 | - |
| 12.0750 | 778500 | 0.0003 | - |
| 12.0828 | 779000 | 0.0008 | - |
| 12.0905 | 779500 | 0.0004 | - |
| 12.0983 | 780000 | 0.0002 | - |
| 12.1060 | 780500 | 0.0006 | - |
| 12.1138 | 781000 | 0.0005 | - |
| 12.1215 | 781500 | 0.0005 | - |
| 12.1293 | 782000 | 0.0005 | - |
| 12.1371 | 782500 | 0.0002 | - |
| 12.1448 | 783000 | 0.0002 | - |
| 12.1526 | 783500 | 0.0002 | - |
| 12.1603 | 784000 | 0.0004 | - |
| 12.1681 | 784500 | 0.0003 | - |
| 12.1758 | 785000 | 0.0001 | - |
| 12.1836 | 785500 | 0.0003 | - |
| 12.1913 | 786000 | 0.0001 | - |
| 12.1991 | 786500 | 0.0008 | - |
| 12.2068 | 787000 | 0.0005 | - |
| 12.2146 | 787500 | 0.0003 | - |
| 12.2224 | 788000 | 0.0004 | - |
| 12.2301 | 788500 | 0.0022 | - |
| 12.2379 | 789000 | 0.0003 | - |
| 12.2456 | 789500 | 0.0006 | - |
| 12.2534 | 790000 | 0.0002 | - |
| 12.2611 | 790500 | 0.0007 | - |
| 12.2689 | 791000 | 0.0004 | - |
| 12.2766 | 791500 | 0.0002 | - |
| 12.2844 | 792000 | 0.002 | - |
| 12.2922 | 792500 | 0.0009 | - |
| 12.2999 | 793000 | 0.0006 | - |
| 12.3077 | 793500 | 0.0001 | - |
| 12.3154 | 794000 | 0.0001 | - |
| 12.3232 | 794500 | 0.0003 | - |
| 12.3309 | 795000 | 0.0003 | - |
| 12.3387 | 795500 | 0.0004 | - |
| 12.3464 | 796000 | 0.0011 | - |
| 12.3542 | 796500 | 0.0011 | - |
| 12.3620 | 797000 | 0.0003 | - |
| 12.3697 | 797500 | 0.0003 | - |
| 12.3775 | 798000 | 0.0002 | - |
| 12.3852 | 798500 | 0.0013 | - |
| 12.3930 | 799000 | 0.0003 | - |
| 12.4007 | 799500 | 0.0003 | - |
| 12.4085 | 800000 | 0.0004 | 0.878 |
| 12.4162 | 800500 | 0.0002 | - |
| 12.4240 | 801000 | 0.0002 | - |
| 12.4318 | 801500 | 0.0003 | - |
| 12.4395 | 802000 | 0.0006 | - |
| 12.4473 | 802500 | 0.0003 | - |
| 12.4550 | 803000 | 0.0004 | - |
| 12.4628 | 803500 | 0.0018 | - |
| 12.4705 | 804000 | 0.0001 | - |
| 12.4783 | 804500 | 0.0001 | - |
| 12.4860 | 805000 | 0.0009 | - |
| 12.4938 | 805500 | 0.0003 | - |
| 12.5016 | 806000 | 0.0006 | - |
| 12.5093 | 806500 | 0.0002 | - |
| 12.5171 | 807000 | 0.0001 | - |
| 12.5248 | 807500 | 0.0002 | - |
| 12.5326 | 808000 | 0.0002 | - |
| 12.5403 | 808500 | 0.0008 | - |
| 12.5481 | 809000 | 0.0002 | - |
| 12.5558 | 809500 | 0.0002 | - |
| 12.5636 | 810000 | 0.0002 | - |
| 12.5713 | 810500 | 0.0009 | - |
| 12.5791 | 811000 | 0.001 | - |
| 12.5869 | 811500 | 0.0005 | - |
| 12.5946 | 812000 | 0.0002 | - |
| 12.6024 | 812500 | 0.0005 | - |
| 12.6101 | 813000 | 0.0003 | - |
| 12.6179 | 813500 | 0.0002 | - |
| 12.6256 | 814000 | 0.001 | - |
| 12.6334 | 814500 | 0.0005 | - |
| 12.6411 | 815000 | 0.0001 | - |
| 12.6489 | 815500 | 0.0002 | - |
| 12.6567 | 816000 | 0.0002 | - |
| 12.6644 | 816500 | 0.0003 | - |
| 12.6722 | 817000 | 0.0011 | - |
| 12.6799 | 817500 | 0.0017 | - |
| 12.6877 | 818000 | 0.0003 | - |
| 12.6954 | 818500 | 0.0006 | - |
| 12.7032 | 819000 | 0.0003 | - |
| 12.7109 | 819500 | 0.0002 | - |
| 12.7187 | 820000 | 0.0005 | - |
| 12.7265 | 820500 | 0.0003 | - |
| 12.7342 | 821000 | 0.0008 | - |
| 12.7420 | 821500 | 0.0001 | - |
| 12.7497 | 822000 | 0.0004 | - |
| 12.7575 | 822500 | 0.0003 | - |
| 12.7652 | 823000 | 0.0006 | - |
| 12.7730 | 823500 | 0.0001 | - |
| 12.7807 | 824000 | 0.0002 | - |
| 12.7885 | 824500 | 0.0003 | - |
| 12.7963 | 825000 | 0.0002 | - |
| 12.8040 | 825500 | 0.0007 | - |
| 12.8118 | 826000 | 0.0004 | - |
| 12.8195 | 826500 | 0.0009 | - |
| 12.8273 | 827000 | 0.0002 | - |
| 12.8350 | 827500 | 0.0008 | - |
| 12.8428 | 828000 | 0.0007 | - |
| 12.8505 | 828500 | 0.0008 | - |
| 12.8583 | 829000 | 0.0002 | - |
| 12.8661 | 829500 | 0.0002 | - |
| 12.8738 | 830000 | 0.0005 | - |
| 12.8816 | 830500 | 0.0002 | - |
| 12.8893 | 831000 | 0.0015 | - |
| 12.8971 | 831500 | 0.0001 | - |
| 12.9048 | 832000 | 0.0002 | - |
| 12.9126 | 832500 | 0.0004 | - |
| 12.9203 | 833000 | 0.0007 | - |
| 12.9281 | 833500 | 0.0008 | - |
| 12.9358 | 834000 | 0.0001 | - |
| 12.9436 | 834500 | 0.0004 | - |
| 12.9514 | 835000 | 0.0003 | - |
| 12.9591 | 835500 | 0.0007 | - |
| 12.9669 | 836000 | 0.0009 | - |
| 12.9746 | 836500 | 0.0014 | - |
| 12.9824 | 837000 | 0.0004 | - |
| 12.9901 | 837500 | 0.0007 | - |
| 12.9979 | 838000 | 0.0008 | - |
| 13.0 | 838136 | - | 0.8825 |
| 13.0056 | 838500 | 0.0004 | - |
| 13.0134 | 839000 | 0.0002 | - |
| 13.0212 | 839500 | 0.0011 | - |
| 13.0289 | 840000 | 0.0003 | - |
| 13.0367 | 840500 | 0.0007 | - |
| 13.0444 | 841000 | 0.0011 | - |
| 13.0522 | 841500 | 0.0005 | - |
| 13.0599 | 842000 | 0.0001 | - |
| 13.0677 | 842500 | 0.0013 | - |
| 13.0754 | 843000 | 0.0003 | - |
| 13.0832 | 843500 | 0.0005 | - |
| 13.0910 | 844000 | 0.0003 | - |
| 13.0987 | 844500 | 0.0001 | - |
| 13.1065 | 845000 | 0.0001 | - |
| 13.1142 | 845500 | 0.0003 | - |
| 13.1220 | 846000 | 0.0003 | - |
| 13.1297 | 846500 | 0.0003 | - |
| 13.1375 | 847000 | 0.0003 | - |
| 13.1452 | 847500 | 0.0002 | - |
| 13.1530 | 848000 | 0.001 | - |
| 13.1608 | 848500 | 0.0012 | - |
| 13.1685 | 849000 | 0.0016 | - |
| 13.1763 | 849500 | 0.0002 | - |
| 13.1840 | 850000 | 0.0003 | 0.8815 |
| 13.1918 | 850500 | 0.0003 | - |
| 13.1995 | 851000 | 0.001 | - |
| 13.2073 | 851500 | 0.0001 | - |
| 13.2150 | 852000 | 0.0003 | - |
| 13.2228 | 852500 | 0.0015 | - |
| 13.2305 | 853000 | 0.0002 | - |
| 13.2383 | 853500 | 0.0001 | - |
| 13.2461 | 854000 | 0.0004 | - |
| 13.2538 | 854500 | 0.0004 | - |
| 13.2616 | 855000 | 0.001 | - |
| 13.2693 | 855500 | 0.0014 | - |
| 13.2771 | 856000 | 0.0004 | - |
| 13.2848 | 856500 | 0.0002 | - |
| 13.2926 | 857000 | 0.0023 | - |
| 13.3003 | 857500 | 0.0002 | - |
| 13.3081 | 858000 | 0.0005 | - |
| 13.3159 | 858500 | 0.0003 | - |
| 13.3236 | 859000 | 0.0007 | - |
| 13.3314 | 859500 | 0.0003 | - |
| 13.3391 | 860000 | 0.0006 | - |
| 13.3469 | 860500 | 0.0013 | - |
| 13.3546 | 861000 | 0.0001 | - |
| 13.3624 | 861500 | 0.0004 | - |
| 13.3701 | 862000 | 0.0001 | - |
| 13.3779 | 862500 | 0.0003 | - |
| 13.3857 | 863000 | 0.0006 | - |
| 13.3934 | 863500 | 0.0003 | - |
| 13.4012 | 864000 | 0.0006 | - |
| 13.4089 | 864500 | 0.0001 | - |
| 13.4167 | 865000 | 0.0001 | - |
| 13.4244 | 865500 | 0.0001 | - |
| 13.4322 | 866000 | 0.0004 | - |
| 13.4399 | 866500 | 0.0001 | - |
| 13.4477 | 867000 | 0.0004 | - |
| 13.4555 | 867500 | 0.0031 | - |
| 13.4632 | 868000 | 0.0004 | - |
| 13.4710 | 868500 | 0.0002 | - |
| 13.4787 | 869000 | 0.0005 | - |
| 13.4865 | 869500 | 0.0003 | - |
| 13.4942 | 870000 | 0.0004 | - |
| 13.5020 | 870500 | 0.0 | - |
| 13.5097 | 871000 | 0.0005 | - |
| 13.5175 | 871500 | 0.0003 | - |
| 13.5253 | 872000 | 0.0014 | - |
| 13.5330 | 872500 | 0.0001 | - |
| 13.5408 | 873000 | 0.0001 | - |
| 13.5485 | 873500 | 0.0007 | - |
| 13.5563 | 874000 | 0.0006 | - |
| 13.5640 | 874500 | 0.0004 | - |
| 13.5718 | 875000 | 0.0038 | - |
| 13.5795 | 875500 | 0.0002 | - |
| 13.5873 | 876000 | 0.0003 | - |
| 13.5950 | 876500 | 0.0005 | - |
| 13.6028 | 877000 | 0.0018 | - |
| 13.6106 | 877500 | 0.0001 | - |
| 13.6183 | 878000 | 0.0001 | - |
| 13.6261 | 878500 | 0.0018 | - |
| 13.6338 | 879000 | 0.0013 | - |
| 13.6416 | 879500 | 0.0006 | - |
| 13.6493 | 880000 | 0.0 | - |
| 13.6571 | 880500 | 0.0001 | - |
| 13.6648 | 881000 | 0.0007 | - |
| 13.6726 | 881500 | 0.0001 | - |
| 13.6804 | 882000 | 0.0001 | - |
| 13.6881 | 882500 | 0.0001 | - |
| 13.6959 | 883000 | 0.0002 | - |
| 13.7036 | 883500 | 0.0007 | - |
| 13.7114 | 884000 | 0.0002 | - |
| 13.7191 | 884500 | 0.0002 | - |
| 13.7269 | 885000 | 0.001 | - |
| 13.7346 | 885500 | 0.0002 | - |
| 13.7424 | 886000 | 0.0003 | - |
| 13.7502 | 886500 | 0.0003 | - |
| 13.7579 | 887000 | 0.0001 | - |
| 13.7657 | 887500 | 0.0001 | - |
| 13.7734 | 888000 | 0.0007 | - |
| 13.7812 | 888500 | 0.0004 | - |
| 13.7889 | 889000 | 0.0001 | - |
| 13.7967 | 889500 | 0.0002 | - |
| 13.8044 | 890000 | 0.0003 | - |
| 13.8122 | 890500 | 0.0001 | - |
| 13.8200 | 891000 | 0.0002 | - |
| 13.8277 | 891500 | 0.0002 | - |
| 13.8355 | 892000 | 0.0006 | - |
| 13.8432 | 892500 | 0.0004 | - |
| 13.8510 | 893000 | 0.0014 | - |
| 13.8587 | 893500 | 0.0003 | - |
| 13.8665 | 894000 | 0.0001 | - |
| 13.8742 | 894500 | 0.0007 | - |
| 13.8820 | 895000 | 0.0004 | - |
| 13.8898 | 895500 | 0.0012 | - |
| 13.8975 | 896000 | 0.0007 | - |
| 13.9053 | 896500 | 0.0004 | - |
| 13.9130 | 897000 | 0.0004 | - |
| 13.9208 | 897500 | 0.0003 | - |
| 13.9285 | 898000 | 0.0006 | - |
| 13.9363 | 898500 | 0.0033 | - |
| 13.9440 | 899000 | 0.0003 | - |
| 13.9518 | 899500 | 0.0006 | - |
| 13.9595 | 900000 | 0.0002 | 0.893 |
| 13.9673 | 900500 | 0.0008 | - |
| 13.9751 | 901000 | 0.0005 | - |
| 13.9828 | 901500 | 0.0003 | - |
| 13.9906 | 902000 | 0.0005 | - |
| 13.9983 | 902500 | 0.0002 | - |
| 14.0 | 902608 | - | 0.8915 |
| 14.0061 | 903000 | 0.0001 | - |
| 14.0138 | 903500 | 0.0003 | - |
| 14.0216 | 904000 | 0.0005 | - |
| 14.0293 | 904500 | 0.0001 | - |
| 14.0371 | 905000 | 0.0001 | - |
| 14.0449 | 905500 | 0.0001 | - |
| 14.0526 | 906000 | 0.0005 | - |
| 14.0604 | 906500 | 0.0018 | - |
| 14.0681 | 907000 | 0.0027 | - |
| 14.0759 | 907500 | 0.0012 | - |
| 14.0836 | 908000 | 0.0004 | - |
| 14.0914 | 908500 | 0.0002 | - |
| 14.0991 | 909000 | 0.001 | - |
| 14.1069 | 909500 | 0.0007 | - |
| 14.1147 | 910000 | 0.0004 | - |
| 14.1224 | 910500 | 0.0002 | - |
| 14.1302 | 911000 | 0.0001 | - |
| 14.1379 | 911500 | 0.0005 | - |
| 14.1457 | 912000 | 0.0005 | - |
| 14.1534 | 912500 | 0.0002 | - |
| 14.1612 | 913000 | 0.0003 | - |
| 14.1689 | 913500 | 0.0002 | - |
| 14.1767 | 914000 | 0.0001 | - |
| 14.1845 | 914500 | 0.0001 | - |
| 14.1922 | 915000 | 0.0004 | - |
| 14.2000 | 915500 | 0.0006 | - |
| 14.2077 | 916000 | 0.0004 | - |
| 14.2155 | 916500 | 0.0002 | - |
| 14.2232 | 917000 | 0.0024 | - |
| 14.2310 | 917500 | 0.0005 | - |
| 14.2387 | 918000 | 0.0001 | - |
| 14.2465 | 918500 | 0.0002 | - |
| 14.2542 | 919000 | 0.0002 | - |
| 14.2620 | 919500 | 0.0007 | - |
| 14.2698 | 920000 | 0.0006 | - |
| 14.2775 | 920500 | 0.0003 | - |
| 14.2853 | 921000 | 0.0002 | - |
| 14.2930 | 921500 | 0.0001 | - |
| 14.3008 | 922000 | 0.0003 | - |
| 14.3085 | 922500 | 0.0001 | - |
| 14.3163 | 923000 | 0.0002 | - |
| 14.3240 | 923500 | 0.002 | - |
| 14.3318 | 924000 | 0.0001 | - |
| 14.3396 | 924500 | 0.0012 | - |
| 14.3473 | 925000 | 0.0008 | - |
| 14.3551 | 925500 | 0.0003 | - |
| 14.3628 | 926000 | 0.0005 | - |
| 14.3706 | 926500 | 0.0001 | - |
| 14.3783 | 927000 | 0.0001 | - |
| 14.3861 | 927500 | 0.0002 | - |
| 14.3938 | 928000 | 0.0001 | - |
| 14.4016 | 928500 | 0.0026 | - |
| 14.4094 | 929000 | 0.0004 | - |
| 14.4171 | 929500 | 0.0006 | - |
| 14.4249 | 930000 | 0.0005 | - |
| 14.4326 | 930500 | 0.0002 | - |
| 14.4404 | 931000 | 0.0002 | - |
| 14.4481 | 931500 | 0.0008 | - |
| 14.4559 | 932000 | 0.0003 | - |
| 14.4636 | 932500 | 0.0008 | - |
| 14.4714 | 933000 | 0.0001 | - |
| 14.4792 | 933500 | 0.0001 | - |
| 14.4869 | 934000 | 0.0002 | - |
| 14.4947 | 934500 | 0.0011 | - |
| 14.5024 | 935000 | 0.0008 | - |
| 14.5102 | 935500 | 0.0004 | - |
| 14.5179 | 936000 | 0.0002 | - |
| 14.5257 | 936500 | 0.0006 | - |
| 14.5334 | 937000 | 0.0003 | - |
| 14.5412 | 937500 | 0.0001 | - |
| 14.5490 | 938000 | 0.0004 | - |
| 14.5567 | 938500 | 0.0001 | - |
| 14.5645 | 939000 | 0.0012 | - |
| 14.5722 | 939500 | 0.0001 | - |
| 14.5800 | 940000 | 0.0008 | - |
| 14.5877 | 940500 | 0.0002 | - |
| 14.5955 | 941000 | 0.0003 | - |
| 14.6032 | 941500 | 0.0002 | - |
| 14.6110 | 942000 | 0.0001 | - |
| 14.6187 | 942500 | 0.0002 | - |
| 14.6265 | 943000 | 0.0005 | - |
| 14.6343 | 943500 | 0.0013 | - |
| 14.6420 | 944000 | 0.0004 | - |
| 14.6498 | 944500 | 0.0007 | - |
| 14.6575 | 945000 | 0.0001 | - |
| 14.6653 | 945500 | 0.0003 | - |
| 14.6730 | 946000 | 0.0001 | - |
| 14.6808 | 946500 | 0.0002 | - |
| 14.6885 | 947000 | 0.0002 | - |
| 14.6963 | 947500 | 0.0002 | - |
| 14.7041 | 948000 | 0.0003 | - |
| 14.7118 | 948500 | 0.0001 | - |
| 14.7196 | 949000 | 0.0001 | - |
| 14.7273 | 949500 | 0.0008 | - |
| 14.7351 | 950000 | 0.0009 | 0.8955 |
| 14.7428 | 950500 | 0.0003 | - |
| 14.7506 | 951000 | 0.0002 | - |
| 14.7583 | 951500 | 0.0004 | - |
| 14.7661 | 952000 | 0.0001 | - |
| 14.7739 | 952500 | 0.0003 | - |
| 14.7816 | 953000 | 0.0001 | - |
| 14.7894 | 953500 | 0.0001 | - |
| 14.7971 | 954000 | 0.0001 | - |
| 14.8049 | 954500 | 0.0002 | - |
| 14.8126 | 955000 | 0.0007 | - |
| 14.8204 | 955500 | 0.0012 | - |
| 14.8281 | 956000 | 0.0003 | - |
| 14.8359 | 956500 | 0.0002 | - |
| 14.8437 | 957000 | 0.0002 | - |
| 14.8514 | 957500 | 0.0002 | - |
| 14.8592 | 958000 | 0.0006 | - |
| 14.8669 | 958500 | 0.0001 | - |
| 14.8747 | 959000 | 0.0004 | - |
| 14.8824 | 959500 | 0.0004 | - |
| 14.8902 | 960000 | 0.0011 | - |
| 14.8979 | 960500 | 0.0001 | - |
| 14.9057 | 961000 | 0.0001 | - |
| 14.9135 | 961500 | 0.0002 | - |
| 14.9212 | 962000 | 0.0001 | - |
| 14.9290 | 962500 | 0.0006 | - |
| 14.9367 | 963000 | 0.0001 | - |
| 14.9445 | 963500 | 0.0001 | - |
| 14.9522 | 964000 | 0.0006 | - |
| 14.9600 | 964500 | 0.0005 | - |
| 14.9677 | 965000 | 0.0001 | - |
| 14.9755 | 965500 | 0.0001 | - |
| 14.9832 | 966000 | 0.0002 | - |
| 14.9910 | 966500 | 0.0004 | - |
| 14.9988 | 967000 | 0.0001 | - |
| 15.0 | 967080 | - | 0.896 |
</details>
### Framework Versions
- Python: 3.10.18
- Sentence Transformers: 5.0.0
- Transformers: 4.53.1
- PyTorch: 2.7.1+cu126
- Accelerate: 1.10.0
- Datasets: 3.6.0
- Tokenizers: 0.21.2
## 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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