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---
base_model: cointegrated/rubert-tiny2
datasets: []
language: []
library_name: sentence-transformers
metrics:
- pearson_cosine
- spearman_cosine
- pearson_manhattan
- spearman_manhattan
- pearson_euclidean
- spearman_euclidean
- pearson_dot
- spearman_dot
- pearson_max
- spearman_max
- negative_mse
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- sentence-similarity
- feature-extraction
- generated_from_trainer
- dataset_size:10000000
- loss:MSELoss
widget:
- source_sentence: The doc 3 milligrams a night is waaaaay too much.
sentences:
- As a simple example, suppose the cost of worksharing is 10a and the cost of basic
mail is 16a.
- i have a younger daughter now and uh i it's kind of hard to get her get her there
and everything but i am going to to uh
- And so you know, eventually, you know, you know, they kept asking people around,
and nobody knew where they were, and eventually, you know, they just reconciled
themselves that they just wouldn't see Joe again.
- source_sentence: KSM, которому в январе 1996 г. было предъявлено обвинение за соучастие
в теракте на воздушном судне в Маниле, в основном рассматривался как террорист-наемник,
связанный с Рамзи Юсефом.
sentences:
- Реформы, одобренные на данный момент, имеют огромное значение на то, что делает
правительство, как организована его работа, и как оно предоставляет свои услуги
стране и ее гржданам.
- Спорт - не единственное, на что здесь можно ставить.
- This is the ultimate Republican fallback.
- source_sentence: This was the island bought by Errol Flynn when he settled in Port
Antonio in 1946
sentences:
- Официально он назывался амфитеатр Флавиев по родовому имени строителя - императора
Веспасиана.
- От Готического портика в центре города, рядом с массивной колокольней 13-го века,
лестница из 90 ступеней ведёт вас к бронзовым дверям святилища 11-го века.
- Он бы тогда родился.
- source_sentence: Lamar Alexander's way out is worth noting, though it doesn't rise
to the level of illogic.
sentences:
- Агентства должны уметь измерить успех.
- This wasn't the temper of the times.
- Трудности анатомического строения слонов осложняют процедуру, которая так легко
дается в уходе за другими домашними животными.
- source_sentence: Nobody knew where they went.
sentences:
- The chaotic regime contrasts starkly with the ordered regime.
- это...ну, около двадцати минут
- This applies to both C-R relationships defined by a single C-R function and those
defined by a pooling of multiple C-R functions.
model-index:
- name: SentenceTransformer based on cointegrated/rubert-tiny2
results:
- task:
type: semantic-similarity
name: Semantic Similarity
dataset:
name: sts dev
type: sts-dev
metrics:
- type: pearson_cosine
value: 0.5368480358865831
name: Pearson Cosine
- type: spearman_cosine
value: 0.642927887885022
name: Spearman Cosine
- type: pearson_manhattan
value: 0.5620955389095204
name: Pearson Manhattan
- type: spearman_manhattan
value: 0.6441046436249961
name: Spearman Manhattan
- type: pearson_euclidean
value: 0.5624619121879763
name: Pearson Euclidean
- type: spearman_euclidean
value: 0.642927887885022
name: Spearman Euclidean
- type: pearson_dot
value: 0.5368480254096873
name: Pearson Dot
- type: spearman_dot
value: 0.6429276655898257
name: Spearman Dot
- type: pearson_max
value: 0.5624619121879763
name: Pearson Max
- type: spearman_max
value: 0.6441046436249961
name: Spearman Max
- task:
type: knowledge-distillation
name: Knowledge Distillation
dataset:
name: Unknown
type: unknown
metrics:
- type: negative_mse
value: -0.04153784830123186
name: Negative Mse
- task:
type: semantic-similarity
name: Semantic Similarity
dataset:
name: sts test
type: sts-test
metrics:
- type: pearson_cosine
value: 0.5073621792333858
name: Pearson Cosine
- type: spearman_cosine
value: 0.5974393502487366
name: Spearman Cosine
- type: pearson_manhattan
value: 0.5640847622931056
name: Pearson Manhattan
- type: spearman_manhattan
value: 0.6142719819240927
name: Spearman Manhattan
- type: pearson_euclidean
value: 0.5513969760628644
name: Pearson Euclidean
- type: spearman_euclidean
value: 0.5974401737538448
name: Spearman Euclidean
- type: pearson_dot
value: 0.5073621549611861
name: Pearson Dot
- type: spearman_dot
value: 0.5974397870471275
name: Spearman Dot
- type: pearson_max
value: 0.5640847622931056
name: Pearson Max
- type: spearman_max
value: 0.6142719819240927
name: Spearman Max
---
# 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("whitemouse84/rubert-tiny2-distilled-from-LaBSE-en-ru")
# Run inference
sentences = [
'Nobody knew where they went.',
'The chaotic regime contrasts starkly with the ordered regime.',
'This applies to both C-R relationships defined by a single C-R function and those defined by a pooling of multiple C-R functions.',
]
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
#### Semantic Similarity
* Dataset: `sts-dev`
* Evaluated with [<code>EmbeddingSimilarityEvaluator</code>](https://sbert.net/docs/package_reference/sentence_transformer/evaluation.html#sentence_transformers.evaluation.EmbeddingSimilarityEvaluator)
| Metric | Value |
|:--------------------|:-----------|
| pearson_cosine | 0.5368 |
| **spearman_cosine** | **0.6429** |
| pearson_manhattan | 0.5621 |
| spearman_manhattan | 0.6441 |
| pearson_euclidean | 0.5625 |
| spearman_euclidean | 0.6429 |
| pearson_dot | 0.5368 |
| spearman_dot | 0.6429 |
| pearson_max | 0.5625 |
| spearman_max | 0.6441 |
#### Knowledge Distillation
* Evaluated with [<code>MSEEvaluator</code>](https://sbert.net/docs/package_reference/sentence_transformer/evaluation.html#sentence_transformers.evaluation.MSEEvaluator)
| Metric | Value |
|:-----------------|:------------|
| **negative_mse** | **-0.0415** |
#### Semantic Similarity
* Dataset: `sts-test`
* Evaluated with [<code>EmbeddingSimilarityEvaluator</code>](https://sbert.net/docs/package_reference/sentence_transformer/evaluation.html#sentence_transformers.evaluation.EmbeddingSimilarityEvaluator)
| Metric | Value |
|:--------------------|:-----------|
| pearson_cosine | 0.5074 |
| **spearman_cosine** | **0.5974** |
| pearson_manhattan | 0.5641 |
| spearman_manhattan | 0.6143 |
| pearson_euclidean | 0.5514 |
| spearman_euclidean | 0.5974 |
| pearson_dot | 0.5074 |
| spearman_dot | 0.5974 |
| pearson_max | 0.5641 |
| spearman_max | 0.6143 |
<!--
## 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: 10,000,000 training samples
* Columns: <code>sentence</code> and <code>label</code>
* Approximate statistics based on the first 1000 samples:
| | sentence | label |
|:--------|:-----------------------------------------------------------------------------------|:-------------------------------------|
| type | string | list |
| details | <ul><li>min: 5 tokens</li><li>mean: 27.28 tokens</li><li>max: 210 tokens</li></ul> | <ul><li>size: 312 elements</li></ul> |
* Samples:
| sentence | label |
|:---------------------------------------------------------------------------------------------------------------------------------------------------------------------|:---------------------------------------------------------------------------------------------------------------------------------|
| <code>Это действительно та мысль , которая имеет значение , и prudie надеется , что ваши родственники оценят ваш продуманный выбор .</code> | <code>[-0.499659925699234, -0.11499621719121933, 0.09910979121923447, -0.028659146279096603, -0.08436408638954163, ...]</code> |
| <code>A progressive match- providing a higher match for low-income workers and eliminating the match for high-income workers-would serve to target low-income</code> | <code>[-0.1623910814523697, -0.13584381341934204, 0.15065298974514008, -0.12182427942752838, 0.10419385135173798, ...]</code> |
| <code>Должны ли мы просто набраться смелости и пригласить их , или пригласить их на ужин / напитки в ресторане ?</code> | <code>[-0.5938871502876282, -0.08154283463954926, 0.022086789831519127, -0.022560089826583862, -0.07033800333738327, ...]</code> |
* Loss: [<code>MSELoss</code>](https://sbert.net/docs/package_reference/sentence_transformer/losses.html#mseloss)
### Evaluation Dataset
#### Unnamed Dataset
* Size: 10,000 evaluation samples
* Columns: <code>sentence</code> and <code>label</code>
* Approximate statistics based on the first 1000 samples:
| | sentence | label |
|:--------|:----------------------------------------------------------------------------------|:-------------------------------------|
| type | string | list |
| details | <ul><li>min: 5 tokens</li><li>mean: 24.73 tokens</li><li>max: 62 tokens</li></ul> | <ul><li>size: 312 elements</li></ul> |
* Samples:
| sentence | label |
|:--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:-------------------------------------------------------------------------------------------------------------------------------|
| <code>Отчет ФБР, рейс №93, неявившиеся пассажиры 11/09/01, 18 сентября 2001 г.</code> | <code>[-0.3285815119743347, -0.05295126512646675, -0.0864153802394867, -0.018464216962456703, 0.11339661478996277, ...]</code> |
| <code>Данная коллекция европейских и пуэрто-риканских предметов искусства является по-видимому самой лучшей в Карибском бассейне. Она подойдет по духу любой европейской столице.</code> | <code>[-0.4392591416835785, -0.2423635721206665, 0.1603011041879654, 0.07435077428817749, -0.11357224732637405, ...]</code> |
| <code>Понятие возможность для обучения, хотя на данный момент оно всего лишь формируется, является частью основополагающего интереса при проведении мероприятий по реабилитации бывших алкоголиков в отделениях интенсивной терапии.</code> | <code>[-0.4496175944805145, -0.16721466183662415, 0.09532374888658524, 0.006283232010900974, 0.007752248551696539, ...]</code> |
* Loss: [<code>MSELoss</code>](https://sbert.net/docs/package_reference/sentence_transformer/losses.html#mseloss)
### Training Hyperparameters
#### Non-Default Hyperparameters
- `eval_strategy`: steps
- `per_device_train_batch_size`: 64
- `per_device_eval_batch_size`: 64
- `learning_rate`: 0.0001
- `num_train_epochs`: 1
- `warmup_ratio`: 0.1
- `bf16`: True
- `load_best_model_at_end`: True
#### 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`: 64
- `per_device_eval_batch_size`: 64
- `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`: 0.0001
- `weight_decay`: 0.0
- `adam_beta1`: 0.9
- `adam_beta2`: 0.999
- `adam_epsilon`: 1e-08
- `max_grad_norm`: 1.0
- `num_train_epochs`: 1
- `max_steps`: -1
- `lr_scheduler_type`: linear
- `lr_scheduler_kwargs`: {}
- `warmup_ratio`: 0.1
- `warmup_steps`: 0
- `log_level`: passive
- `log_level_replica`: warning
- `log_on_each_node`: True
- `logging_nan_inf_filter`: True
- `save_safetensors`: True
- `save_on_each_node`: False
- `save_only_model`: False
- `restore_callback_states_from_checkpoint`: False
- `no_cuda`: False
- `use_cpu`: False
- `use_mps_device`: False
- `seed`: 42
- `data_seed`: None
- `jit_mode_eval`: False
- `use_ipex`: False
- `bf16`: True
- `fp16`: False
- `fp16_opt_level`: O1
- `half_precision_backend`: auto
- `bf16_full_eval`: False
- `fp16_full_eval`: False
- `tf32`: 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`: True
- `ignore_data_skip`: False
- `fsdp`: []
- `fsdp_min_num_params`: 0
- `fsdp_config`: {'min_num_params': 0, 'xla': False, 'xla_fsdp_v2': False, 'xla_fsdp_grad_ckpt': False}
- `fsdp_transformer_layer_cls_to_wrap`: None
- `accelerator_config`: {'split_batches': False, 'dispatch_batches': None, 'even_batches': True, 'use_seedable_sampler': True, 'non_blocking': False, 'gradient_accumulation_kwargs': None}
- `deepspeed`: None
- `label_smoothing_factor`: 0.0
- `optim`: adamw_torch
- `optim_args`: None
- `adafactor`: False
- `group_by_length`: False
- `length_column_name`: length
- `ddp_find_unused_parameters`: None
- `ddp_bucket_cap_mb`: None
- `ddp_broadcast_buffers`: False
- `dataloader_pin_memory`: True
- `dataloader_persistent_workers`: False
- `skip_memory_metrics`: True
- `use_legacy_prediction_loop`: False
- `push_to_hub`: False
- `resume_from_checkpoint`: None
- `hub_model_id`: None
- `hub_strategy`: every_save
- `hub_private_repo`: False
- `hub_always_push`: False
- `gradient_checkpointing`: False
- `gradient_checkpointing_kwargs`: None
- `include_inputs_for_metrics`: False
- `eval_do_concat_batches`: True
- `fp16_backend`: auto
- `push_to_hub_model_id`: None
- `push_to_hub_organization`: None
- `mp_parameters`:
- `auto_find_batch_size`: False
- `full_determinism`: False
- `torchdynamo`: None
- `ray_scope`: last
- `ddp_timeout`: 1800
- `torch_compile`: False
- `torch_compile_backend`: None
- `torch_compile_mode`: None
- `dispatch_batches`: None
- `split_batches`: None
- `include_tokens_per_second`: False
- `include_num_input_tokens_seen`: False
- `neftune_noise_alpha`: None
- `optim_target_modules`: None
- `batch_eval_metrics`: False
- `eval_on_start`: False
- `eval_use_gather_object`: False
- `batch_sampler`: batch_sampler
- `multi_dataset_batch_sampler`: proportional
</details>
### Training Logs
<details><summary>Click to expand</summary>
| Epoch | Step | Training Loss | loss | negative_mse | sts-dev_spearman_cosine | sts-test_spearman_cosine |
|:----------:|:--------:|:-------------:|:----------:|:------------:|:-----------------------:|:------------------------:|
| 0 | 0 | - | - | - | 0.3473 | - |
| 0.0006 | 100 | 0.0064 | - | - | - | - |
| 0.0013 | 200 | 0.0063 | - | - | - | - |
| 0.0019 | 300 | 0.0061 | - | - | - | - |
| 0.0026 | 400 | 0.0057 | - | - | - | - |
| 0.0032 | 500 | 0.0052 | 0.0050 | -0.5015 | 0.3028 | - |
| 0.0038 | 600 | 0.0047 | - | - | - | - |
| 0.0045 | 700 | 0.0042 | - | - | - | - |
| 0.0051 | 800 | 0.0039 | - | - | - | - |
| 0.0058 | 900 | 0.0037 | - | - | - | - |
| 0.0064 | 1000 | 0.0036 | 0.0036 | -0.3557 | 0.2468 | - |
| 0.0070 | 1100 | 0.0035 | - | - | - | - |
| 0.0077 | 1200 | 0.0035 | - | - | - | - |
| 0.0083 | 1300 | 0.0035 | - | - | - | - |
| 0.0090 | 1400 | 0.0035 | - | - | - | - |
| 0.0096 | 1500 | 0.0034 | 0.0035 | -0.3460 | 0.3006 | - |
| 0.0102 | 1600 | 0.0034 | - | - | - | - |
| 0.0109 | 1700 | 0.0034 | - | - | - | - |
| 0.0115 | 1800 | 0.0034 | - | - | - | - |
| 0.0122 | 1900 | 0.0033 | - | - | - | - |
| 0.0128 | 2000 | 0.0033 | 0.0033 | -0.3343 | 0.4789 | - |
| 0.0134 | 2100 | 0.0033 | - | - | - | - |
| 0.0141 | 2200 | 0.0032 | - | - | - | - |
| 0.0147 | 2300 | 0.0032 | - | - | - | - |
| 0.0154 | 2400 | 0.0032 | - | - | - | - |
| 0.016 | 2500 | 0.0031 | 0.0031 | -0.3120 | 0.6056 | - |
| 0.0166 | 2600 | 0.003 | - | - | - | - |
| 0.0173 | 2700 | 0.003 | - | - | - | - |
| 0.0179 | 2800 | 0.0029 | - | - | - | - |
| 0.0186 | 2900 | 0.0028 | - | - | - | - |
| 0.0192 | 3000 | 0.0028 | 0.0028 | -0.2790 | 0.6515 | - |
| 0.0198 | 3100 | 0.0027 | - | - | - | - |
| 0.0205 | 3200 | 0.0027 | - | - | - | - |
| 0.0211 | 3300 | 0.0026 | - | - | - | - |
| 0.0218 | 3400 | 0.0026 | - | - | - | - |
| **0.0224** | **3500** | **0.0025** | **0.0025** | **-0.2484** | **0.6559** | **-** |
| 0.0230 | 3600 | 0.0025 | - | - | - | - |
| 0.0237 | 3700 | 0.0024 | - | - | - | - |
| 0.0243 | 3800 | 0.0024 | - | - | - | - |
| 0.0250 | 3900 | 0.0023 | - | - | - | - |
| 0.0256 | 4000 | 0.0023 | 0.0022 | -0.2232 | 0.6516 | - |
| 0.0262 | 4100 | 0.0023 | - | - | - | - |
| 0.0269 | 4200 | 0.0022 | - | - | - | - |
| 0.0275 | 4300 | 0.0022 | - | - | - | - |
| 0.0282 | 4400 | 0.0022 | - | - | - | - |
| 0.0288 | 4500 | 0.0021 | 0.0020 | -0.2037 | 0.6513 | - |
| 0.0294 | 4600 | 0.0021 | - | - | - | - |
| 0.0301 | 4700 | 0.0021 | - | - | - | - |
| 0.0307 | 4800 | 0.0021 | - | - | - | - |
| 0.0314 | 4900 | 0.002 | - | - | - | - |
| 0.032 | 5000 | 0.002 | 0.0019 | -0.1882 | 0.6471 | - |
| 0.0326 | 5100 | 0.002 | - | - | - | - |
| 0.0333 | 5200 | 0.0019 | - | - | - | - |
| 0.0339 | 5300 | 0.0019 | - | - | - | - |
| 0.0346 | 5400 | 0.0019 | - | - | - | - |
| 0.0352 | 5500 | 0.0019 | 0.0017 | -0.1748 | 0.6437 | - |
| 0.0358 | 5600 | 0.0019 | - | - | - | - |
| 0.0365 | 5700 | 0.0018 | - | - | - | - |
| 0.0371 | 5800 | 0.0018 | - | - | - | - |
| 0.0378 | 5900 | 0.0018 | - | - | - | - |
| 0.0384 | 6000 | 0.0018 | 0.0016 | -0.1638 | 0.6420 | - |
| 0.0390 | 6100 | 0.0018 | - | - | - | - |
| 0.0397 | 6200 | 0.0017 | - | - | - | - |
| 0.0403 | 6300 | 0.0017 | - | - | - | - |
| 0.0410 | 6400 | 0.0017 | - | - | - | - |
| 0.0416 | 6500 | 0.0017 | 0.0015 | -0.1547 | 0.6461 | - |
| 0.0422 | 6600 | 0.0017 | - | - | - | - |
| 0.0429 | 6700 | 0.0017 | - | - | - | - |
| 0.0435 | 6800 | 0.0016 | - | - | - | - |
| 0.0442 | 6900 | 0.0016 | - | - | - | - |
| 0.0448 | 7000 | 0.0016 | 0.0015 | -0.1460 | 0.6445 | - |
| 0.0454 | 7100 | 0.0016 | - | - | - | - |
| 0.0461 | 7200 | 0.0016 | - | - | - | - |
| 0.0467 | 7300 | 0.0016 | - | - | - | - |
| 0.0474 | 7400 | 0.0016 | - | - | - | - |
| 0.048 | 7500 | 0.0015 | 0.0014 | -0.1387 | 0.6368 | - |
| 0.0486 | 7600 | 0.0015 | - | - | - | - |
| 0.0493 | 7700 | 0.0015 | - | - | - | - |
| 0.0499 | 7800 | 0.0015 | - | - | - | - |
| 0.0506 | 7900 | 0.0015 | - | - | - | - |
| 0.0512 | 8000 | 0.0015 | 0.0013 | -0.1324 | 0.6381 | - |
| 0.0518 | 8100 | 0.0015 | - | - | - | - |
| 0.0525 | 8200 | 0.0015 | - | - | - | - |
| 0.0531 | 8300 | 0.0015 | - | - | - | - |
| 0.0538 | 8400 | 0.0014 | - | - | - | - |
| 0.0544 | 8500 | 0.0014 | 0.0013 | -0.1263 | 0.6346 | - |
| 0.0550 | 8600 | 0.0014 | - | - | - | - |
| 0.0557 | 8700 | 0.0014 | - | - | - | - |
| 0.0563 | 8800 | 0.0014 | - | - | - | - |
| 0.0570 | 8900 | 0.0014 | - | - | - | - |
| 0.0576 | 9000 | 0.0014 | 0.0012 | -0.1211 | 0.6371 | - |
| 0.0582 | 9100 | 0.0014 | - | - | - | - |
| 0.0589 | 9200 | 0.0014 | - | - | - | - |
| 0.0595 | 9300 | 0.0014 | - | - | - | - |
| 0.0602 | 9400 | 0.0014 | - | - | - | - |
| 0.0608 | 9500 | 0.0013 | 0.0012 | -0.1166 | 0.6385 | - |
| 0.0614 | 9600 | 0.0013 | - | - | - | - |
| 0.0621 | 9700 | 0.0013 | - | - | - | - |
| 0.0627 | 9800 | 0.0013 | - | - | - | - |
| 0.0634 | 9900 | 0.0013 | - | - | - | - |
| 0.064 | 10000 | 0.0013 | 0.0011 | -0.1123 | 0.6370 | - |
| 0.0646 | 10100 | 0.0013 | - | - | - | - |
| 0.0653 | 10200 | 0.0013 | - | - | - | - |
| 0.0659 | 10300 | 0.0013 | - | - | - | - |
| 0.0666 | 10400 | 0.0013 | - | - | - | - |
| 0.0672 | 10500 | 0.0013 | 0.0011 | -0.1086 | 0.6354 | - |
| 0.0678 | 10600 | 0.0012 | - | - | - | - |
| 0.0685 | 10700 | 0.0012 | - | - | - | - |
| 0.0691 | 10800 | 0.0012 | - | - | - | - |
| 0.0698 | 10900 | 0.0012 | - | - | - | - |
| 0.0704 | 11000 | 0.0012 | 0.0010 | -0.1049 | 0.6293 | - |
| 0.0710 | 11100 | 0.0012 | - | - | - | - |
| 0.0717 | 11200 | 0.0012 | - | - | - | - |
| 0.0723 | 11300 | 0.0012 | - | - | - | - |
| 0.0730 | 11400 | 0.0012 | - | - | - | - |
| 0.0736 | 11500 | 0.0012 | 0.0010 | -0.1018 | 0.6359 | - |
| 0.0742 | 11600 | 0.0012 | - | - | - | - |
| 0.0749 | 11700 | 0.0012 | - | - | - | - |
| 0.0755 | 11800 | 0.0012 | - | - | - | - |
| 0.0762 | 11900 | 0.0012 | - | - | - | - |
| 0.0768 | 12000 | 0.0012 | 0.0010 | -0.0986 | 0.6369 | - |
| 0.0774 | 12100 | 0.0012 | - | - | - | - |
| 0.0781 | 12200 | 0.0012 | - | - | - | - |
| 0.0787 | 12300 | 0.0012 | - | - | - | - |
| 0.0794 | 12400 | 0.0012 | - | - | - | - |
| 0.08 | 12500 | 0.0011 | 0.0010 | -0.0961 | 0.6333 | - |
| 0.0806 | 12600 | 0.0011 | - | - | - | - |
| 0.0813 | 12700 | 0.0011 | - | - | - | - |
| 0.0819 | 12800 | 0.0011 | - | - | - | - |
| 0.0826 | 12900 | 0.0011 | - | - | - | - |
| 0.0832 | 13000 | 0.0011 | 0.0009 | -0.0934 | 0.6372 | - |
| 0.0838 | 13100 | 0.0011 | - | - | - | - |
| 0.0845 | 13200 | 0.0011 | - | - | - | - |
| 0.0851 | 13300 | 0.0011 | - | - | - | - |
| 0.0858 | 13400 | 0.0011 | - | - | - | - |
| 0.0864 | 13500 | 0.0011 | 0.0009 | -0.0914 | 0.6343 | - |
| 0.0870 | 13600 | 0.0011 | - | - | - | - |
| 0.0877 | 13700 | 0.0011 | - | - | - | - |
| 0.0883 | 13800 | 0.0011 | - | - | - | - |
| 0.0890 | 13900 | 0.0011 | - | - | - | - |
| 0.0896 | 14000 | 0.0011 | 0.0009 | -0.0893 | 0.6421 | - |
| 0.0902 | 14100 | 0.0011 | - | - | - | - |
| 0.0909 | 14200 | 0.0011 | - | - | - | - |
| 0.0915 | 14300 | 0.0011 | - | - | - | - |
| 0.0922 | 14400 | 0.0011 | - | - | - | - |
| 0.0928 | 14500 | 0.0011 | 0.0009 | -0.0873 | 0.6346 | - |
| 0.0934 | 14600 | 0.0011 | - | - | - | - |
| 0.0941 | 14700 | 0.001 | - | - | - | - |
| 0.0947 | 14800 | 0.001 | - | - | - | - |
| 0.0954 | 14900 | 0.001 | - | - | - | - |
| 0.096 | 15000 | 0.001 | 0.0009 | -0.0852 | 0.6358 | - |
| 0.0966 | 15100 | 0.001 | - | - | - | - |
| 0.0973 | 15200 | 0.001 | - | - | - | - |
| 0.0979 | 15300 | 0.001 | - | - | - | - |
| 0.0986 | 15400 | 0.001 | - | - | - | - |
| 0.0992 | 15500 | 0.001 | 0.0008 | -0.0835 | 0.6313 | - |
| 0.0998 | 15600 | 0.001 | - | - | - | - |
| 0.1005 | 15700 | 0.001 | - | - | - | - |
| 0.1011 | 15800 | 0.001 | - | - | - | - |
| 0.1018 | 15900 | 0.001 | - | - | - | - |
| 0.1024 | 16000 | 0.001 | 0.0008 | -0.0822 | 0.6377 | - |
| 0.1030 | 16100 | 0.001 | - | - | - | - |
| 0.1037 | 16200 | 0.001 | - | - | - | - |
| 0.1043 | 16300 | 0.001 | - | - | - | - |
| 0.1050 | 16400 | 0.001 | - | - | - | - |
| 0.1056 | 16500 | 0.001 | 0.0008 | -0.0805 | 0.6380 | - |
| 0.1062 | 16600 | 0.001 | - | - | - | - |
| 0.1069 | 16700 | 0.001 | - | - | - | - |
| 0.1075 | 16800 | 0.001 | - | - | - | - |
| 0.1082 | 16900 | 0.001 | - | - | - | - |
| 0.1088 | 17000 | 0.001 | 0.0008 | -0.0792 | 0.6345 | - |
| 0.1094 | 17100 | 0.001 | - | - | - | - |
| 0.1101 | 17200 | 0.001 | - | - | - | - |
| 0.1107 | 17300 | 0.001 | - | - | - | - |
| 0.1114 | 17400 | 0.001 | - | - | - | - |
| 0.112 | 17500 | 0.001 | 0.0008 | -0.0777 | 0.6350 | - |
| 0.1126 | 17600 | 0.001 | - | - | - | - |
| 0.1133 | 17700 | 0.0009 | - | - | - | - |
| 0.1139 | 17800 | 0.0009 | - | - | - | - |
| 0.1146 | 17900 | 0.0009 | - | - | - | - |
| 0.1152 | 18000 | 0.0009 | 0.0008 | -0.0765 | 0.6343 | - |
| 0.1158 | 18100 | 0.0009 | - | - | - | - |
| 0.1165 | 18200 | 0.0009 | - | - | - | - |
| 0.1171 | 18300 | 0.0009 | - | - | - | - |
| 0.1178 | 18400 | 0.0009 | - | - | - | - |
| 0.1184 | 18500 | 0.0009 | 0.0008 | -0.0754 | 0.6322 | - |
| 0.1190 | 18600 | 0.0009 | - | - | - | - |
| 0.1197 | 18700 | 0.0009 | - | - | - | - |
| 0.1203 | 18800 | 0.0009 | - | - | - | - |
| 0.1210 | 18900 | 0.0009 | - | - | - | - |
| 0.1216 | 19000 | 0.0009 | 0.0007 | -0.0743 | 0.6340 | - |
| 0.1222 | 19100 | 0.0009 | - | - | - | - |
| 0.1229 | 19200 | 0.0009 | - | - | - | - |
| 0.1235 | 19300 | 0.0009 | - | - | - | - |
| 0.1242 | 19400 | 0.0009 | - | - | - | - |
| 0.1248 | 19500 | 0.0009 | 0.0007 | -0.0733 | 0.6347 | - |
| 0.1254 | 19600 | 0.0009 | - | - | - | - |
| 0.1261 | 19700 | 0.0009 | - | - | - | - |
| 0.1267 | 19800 | 0.0009 | - | - | - | - |
| 0.1274 | 19900 | 0.0009 | - | - | - | - |
| 0.128 | 20000 | 0.0009 | 0.0007 | -0.0725 | 0.6371 | - |
| 0.1286 | 20100 | 0.0009 | - | - | - | - |
| 0.1293 | 20200 | 0.0009 | - | - | - | - |
| 0.1299 | 20300 | 0.0009 | - | - | - | - |
| 0.1306 | 20400 | 0.0009 | - | - | - | - |
| 0.1312 | 20500 | 0.0009 | 0.0007 | -0.0716 | 0.6379 | - |
| 0.1318 | 20600 | 0.0009 | - | - | - | - |
| 0.1325 | 20700 | 0.0009 | - | - | - | - |
| 0.1331 | 20800 | 0.0009 | - | - | - | - |
| 0.1338 | 20900 | 0.0009 | - | - | - | - |
| 0.1344 | 21000 | 0.0009 | 0.0007 | -0.0707 | 0.6355 | - |
| 0.1350 | 21100 | 0.0009 | - | - | - | - |
| 0.1357 | 21200 | 0.0009 | - | - | - | - |
| 0.1363 | 21300 | 0.0009 | - | - | - | - |
| 0.1370 | 21400 | 0.0009 | - | - | - | - |
| 0.1376 | 21500 | 0.0009 | 0.0007 | -0.0700 | 0.6356 | - |
| 0.1382 | 21600 | 0.0009 | - | - | - | - |
| 0.1389 | 21700 | 0.0009 | - | - | - | - |
| 0.1395 | 21800 | 0.0009 | - | - | - | - |
| 0.1402 | 21900 | 0.0009 | - | - | - | - |
| 0.1408 | 22000 | 0.0009 | 0.0007 | -0.0692 | 0.6376 | - |
| 0.1414 | 22100 | 0.0008 | - | - | - | - |
| 0.1421 | 22200 | 0.0009 | - | - | - | - |
| 0.1427 | 22300 | 0.0008 | - | - | - | - |
| 0.1434 | 22400 | 0.0008 | - | - | - | - |
| 0.144 | 22500 | 0.0008 | 0.0007 | -0.0687 | 0.6363 | - |
| 0.1446 | 22600 | 0.0008 | - | - | - | - |
| 0.1453 | 22700 | 0.0008 | - | - | - | - |
| 0.1459 | 22800 | 0.0008 | - | - | - | - |
| 0.1466 | 22900 | 0.0008 | - | - | - | - |
| 0.1472 | 23000 | 0.0008 | 0.0007 | -0.0680 | 0.6315 | - |
| 0.1478 | 23100 | 0.0008 | - | - | - | - |
| 0.1485 | 23200 | 0.0008 | - | - | - | - |
| 0.1491 | 23300 | 0.0008 | - | - | - | - |
| 0.1498 | 23400 | 0.0008 | - | - | - | - |
| 0.1504 | 23500 | 0.0008 | 0.0007 | -0.0672 | 0.6359 | - |
| 0.1510 | 23600 | 0.0008 | - | - | - | - |
| 0.1517 | 23700 | 0.0008 | - | - | - | - |
| 0.1523 | 23800 | 0.0008 | - | - | - | - |
| 0.1530 | 23900 | 0.0008 | - | - | - | - |
| 0.1536 | 24000 | 0.0008 | 0.0007 | -0.0667 | 0.6329 | - |
| 0.1542 | 24100 | 0.0008 | - | - | - | - |
| 0.1549 | 24200 | 0.0008 | - | - | - | - |
| 0.1555 | 24300 | 0.0008 | - | - | - | - |
| 0.1562 | 24400 | 0.0008 | - | - | - | - |
| 0.1568 | 24500 | 0.0008 | 0.0007 | -0.0660 | 0.6342 | - |
| 0.1574 | 24600 | 0.0008 | - | - | - | - |
| 0.1581 | 24700 | 0.0008 | - | - | - | - |
| 0.1587 | 24800 | 0.0008 | - | - | - | - |
| 0.1594 | 24900 | 0.0008 | - | - | - | - |
| 0.16 | 25000 | 0.0008 | 0.0007 | -0.0655 | 0.6349 | - |
| 0.1606 | 25100 | 0.0008 | - | - | - | - |
| 0.1613 | 25200 | 0.0008 | - | - | - | - |
| 0.1619 | 25300 | 0.0008 | - | - | - | - |
| 0.1626 | 25400 | 0.0008 | - | - | - | - |
| 0.1632 | 25500 | 0.0008 | 0.0007 | -0.0651 | 0.6352 | - |
| 0.1638 | 25600 | 0.0008 | - | - | - | - |
| 0.1645 | 25700 | 0.0008 | - | - | - | - |
| 0.1651 | 25800 | 0.0008 | - | - | - | - |
| 0.1658 | 25900 | 0.0008 | - | - | - | - |
| 0.1664 | 26000 | 0.0008 | 0.0006 | -0.0645 | 0.6361 | - |
| 0.1670 | 26100 | 0.0008 | - | - | - | - |
| 0.1677 | 26200 | 0.0008 | - | - | - | - |
| 0.1683 | 26300 | 0.0008 | - | - | - | - |
| 0.1690 | 26400 | 0.0008 | - | - | - | - |
| 0.1696 | 26500 | 0.0008 | 0.0006 | -0.0640 | 0.6352 | - |
| 0.1702 | 26600 | 0.0008 | - | - | - | - |
| 0.1709 | 26700 | 0.0008 | - | - | - | - |
| 0.1715 | 26800 | 0.0008 | - | - | - | - |
| 0.1722 | 26900 | 0.0008 | - | - | - | - |
| 0.1728 | 27000 | 0.0008 | 0.0006 | -0.0635 | 0.6346 | - |
| 0.1734 | 27100 | 0.0008 | - | - | - | - |
| 0.1741 | 27200 | 0.0008 | - | - | - | - |
| 0.1747 | 27300 | 0.0008 | - | - | - | - |
| 0.1754 | 27400 | 0.0008 | - | - | - | - |
| 0.176 | 27500 | 0.0008 | 0.0006 | -0.0630 | 0.6362 | - |
| 0.1766 | 27600 | 0.0008 | - | - | - | - |
| 0.1773 | 27700 | 0.0008 | - | - | - | - |
| 0.1779 | 27800 | 0.0008 | - | - | - | - |
| 0.1786 | 27900 | 0.0008 | - | - | - | - |
| 0.1792 | 28000 | 0.0008 | 0.0006 | -0.0627 | 0.6315 | - |
| 0.1798 | 28100 | 0.0008 | - | - | - | - |
| 0.1805 | 28200 | 0.0008 | - | - | - | - |
| 0.1811 | 28300 | 0.0008 | - | - | - | - |
| 0.1818 | 28400 | 0.0008 | - | - | - | - |
| 0.1824 | 28500 | 0.0008 | 0.0006 | -0.0624 | 0.6374 | - |
| 0.1830 | 28600 | 0.0008 | - | - | - | - |
| 0.1837 | 28700 | 0.0008 | - | - | - | - |
| 0.1843 | 28800 | 0.0008 | - | - | - | - |
| 0.1850 | 28900 | 0.0008 | - | - | - | - |
| 0.1856 | 29000 | 0.0008 | 0.0006 | -0.0620 | 0.6398 | - |
| 0.1862 | 29100 | 0.0008 | - | - | - | - |
| 0.1869 | 29200 | 0.0008 | - | - | - | - |
| 0.1875 | 29300 | 0.0008 | - | - | - | - |
| 0.1882 | 29400 | 0.0008 | - | - | - | - |
| 0.1888 | 29500 | 0.0008 | 0.0006 | -0.0615 | 0.6345 | - |
| 0.1894 | 29600 | 0.0008 | - | - | - | - |
| 0.1901 | 29700 | 0.0008 | - | - | - | - |
| 0.1907 | 29800 | 0.0008 | - | - | - | - |
| 0.1914 | 29900 | 0.0008 | - | - | - | - |
| 0.192 | 30000 | 0.0008 | 0.0006 | -0.0611 | 0.6374 | - |
| 0.1926 | 30100 | 0.0008 | - | - | - | - |
| 0.1933 | 30200 | 0.0008 | - | - | - | - |
| 0.1939 | 30300 | 0.0008 | - | - | - | - |
| 0.1946 | 30400 | 0.0008 | - | - | - | - |
| 0.1952 | 30500 | 0.0008 | 0.0006 | -0.0608 | 0.6407 | - |
| 0.1958 | 30600 | 0.0008 | - | - | - | - |
| 0.1965 | 30700 | 0.0008 | - | - | - | - |
| 0.1971 | 30800 | 0.0008 | - | - | - | - |
| 0.1978 | 30900 | 0.0008 | - | - | - | - |
| 0.1984 | 31000 | 0.0008 | 0.0006 | -0.0605 | 0.6314 | - |
| 0.1990 | 31100 | 0.0008 | - | - | - | - |
| 0.1997 | 31200 | 0.0008 | - | - | - | - |
| 0.2003 | 31300 | 0.0007 | - | - | - | - |
| 0.2010 | 31400 | 0.0007 | - | - | - | - |
| 0.2016 | 31500 | 0.0007 | 0.0006 | -0.0601 | 0.6361 | - |
| 0.2022 | 31600 | 0.0007 | - | - | - | - |
| 0.2029 | 31700 | 0.0007 | - | - | - | - |
| 0.2035 | 31800 | 0.0007 | - | - | - | - |
| 0.2042 | 31900 | 0.0007 | - | - | - | - |
| 0.2048 | 32000 | 0.0007 | 0.0006 | -0.0597 | 0.6348 | - |
| 0.2054 | 32100 | 0.0007 | - | - | - | - |
| 0.2061 | 32200 | 0.0007 | - | - | - | - |
| 0.2067 | 32300 | 0.0007 | - | - | - | - |
| 0.2074 | 32400 | 0.0007 | - | - | - | - |
| 0.208 | 32500 | 0.0007 | 0.0006 | -0.0594 | 0.6310 | - |
| 0.2086 | 32600 | 0.0007 | - | - | - | - |
| 0.2093 | 32700 | 0.0007 | - | - | - | - |
| 0.2099 | 32800 | 0.0007 | - | - | - | - |
| 0.2106 | 32900 | 0.0007 | - | - | - | - |
| 0.2112 | 33000 | 0.0007 | 0.0006 | -0.0591 | 0.6367 | - |
| 0.2118 | 33100 | 0.0007 | - | - | - | - |
| 0.2125 | 33200 | 0.0007 | - | - | - | - |
| 0.2131 | 33300 | 0.0007 | - | - | - | - |
| 0.2138 | 33400 | 0.0007 | - | - | - | - |
| 0.2144 | 33500 | 0.0007 | 0.0006 | -0.0588 | 0.6385 | - |
| 0.2150 | 33600 | 0.0007 | - | - | - | - |
| 0.2157 | 33700 | 0.0007 | - | - | - | - |
| 0.2163 | 33800 | 0.0007 | - | - | - | - |
| 0.2170 | 33900 | 0.0007 | - | - | - | - |
| 0.2176 | 34000 | 0.0007 | 0.0006 | -0.0587 | 0.6352 | - |
| 0.2182 | 34100 | 0.0007 | - | - | - | - |
| 0.2189 | 34200 | 0.0007 | - | - | - | - |
| 0.2195 | 34300 | 0.0007 | - | - | - | - |
| 0.2202 | 34400 | 0.0007 | - | - | - | - |
| 0.2208 | 34500 | 0.0007 | 0.0006 | -0.0583 | 0.6378 | - |
| 0.2214 | 34600 | 0.0007 | - | - | - | - |
| 0.2221 | 34700 | 0.0007 | - | - | - | - |
| 0.2227 | 34800 | 0.0007 | - | - | - | - |
| 0.2234 | 34900 | 0.0007 | - | - | - | - |
| 0.224 | 35000 | 0.0007 | 0.0006 | -0.0580 | 0.6353 | - |
| 0.2246 | 35100 | 0.0007 | - | - | - | - |
| 0.2253 | 35200 | 0.0007 | - | - | - | - |
| 0.2259 | 35300 | 0.0007 | - | - | - | - |
| 0.2266 | 35400 | 0.0007 | - | - | - | - |
| 0.2272 | 35500 | 0.0007 | 0.0006 | -0.0576 | 0.6396 | - |
| 0.2278 | 35600 | 0.0007 | - | - | - | - |
| 0.2285 | 35700 | 0.0007 | - | - | - | - |
| 0.2291 | 35800 | 0.0007 | - | - | - | - |
| 0.2298 | 35900 | 0.0007 | - | - | - | - |
| 0.2304 | 36000 | 0.0007 | 0.0006 | -0.0575 | 0.6393 | - |
| 0.2310 | 36100 | 0.0007 | - | - | - | - |
| 0.2317 | 36200 | 0.0007 | - | - | - | - |
| 0.2323 | 36300 | 0.0007 | - | - | - | - |
| 0.2330 | 36400 | 0.0007 | - | - | - | - |
| 0.2336 | 36500 | 0.0007 | 0.0006 | -0.0571 | 0.6397 | - |
| 0.2342 | 36600 | 0.0007 | - | - | - | - |
| 0.2349 | 36700 | 0.0007 | - | - | - | - |
| 0.2355 | 36800 | 0.0007 | - | - | - | - |
| 0.2362 | 36900 | 0.0007 | - | - | - | - |
| 0.2368 | 37000 | 0.0007 | 0.0006 | -0.0569 | 0.6390 | - |
| 0.2374 | 37100 | 0.0007 | - | - | - | - |
| 0.2381 | 37200 | 0.0007 | - | - | - | - |
| 0.2387 | 37300 | 0.0007 | - | - | - | - |
| 0.2394 | 37400 | 0.0007 | - | - | - | - |
| 0.24 | 37500 | 0.0007 | 0.0006 | -0.0567 | 0.6398 | - |
| 0.2406 | 37600 | 0.0007 | - | - | - | - |
| 0.2413 | 37700 | 0.0007 | - | - | - | - |
| 0.2419 | 37800 | 0.0007 | - | - | - | - |
| 0.2426 | 37900 | 0.0007 | - | - | - | - |
| 0.2432 | 38000 | 0.0007 | 0.0006 | -0.0565 | 0.6394 | - |
| 0.2438 | 38100 | 0.0007 | - | - | - | - |
| 0.2445 | 38200 | 0.0007 | - | - | - | - |
| 0.2451 | 38300 | 0.0007 | - | - | - | - |
| 0.2458 | 38400 | 0.0007 | - | - | - | - |
| 0.2464 | 38500 | 0.0007 | 0.0006 | -0.0562 | 0.6405 | - |
| 0.2470 | 38600 | 0.0007 | - | - | - | - |
| 0.2477 | 38700 | 0.0007 | - | - | - | - |
| 0.2483 | 38800 | 0.0007 | - | - | - | - |
| 0.2490 | 38900 | 0.0007 | - | - | - | - |
| 0.2496 | 39000 | 0.0007 | 0.0006 | -0.0560 | 0.6389 | - |
| 0.2502 | 39100 | 0.0007 | - | - | - | - |
| 0.2509 | 39200 | 0.0007 | - | - | - | - |
| 0.2515 | 39300 | 0.0007 | - | - | - | - |
| 0.2522 | 39400 | 0.0007 | - | - | - | - |
| 0.2528 | 39500 | 0.0007 | 0.0006 | -0.0557 | 0.6439 | - |
| 0.2534 | 39600 | 0.0007 | - | - | - | - |
| 0.2541 | 39700 | 0.0007 | - | - | - | - |
| 0.2547 | 39800 | 0.0007 | - | - | - | - |
| 0.2554 | 39900 | 0.0007 | - | - | - | - |
| 0.256 | 40000 | 0.0007 | 0.0006 | -0.0554 | 0.6419 | - |
| 0.2566 | 40100 | 0.0007 | - | - | - | - |
| 0.2573 | 40200 | 0.0007 | - | - | - | - |
| 0.2579 | 40300 | 0.0007 | - | - | - | - |
| 0.2586 | 40400 | 0.0007 | - | - | - | - |
| 0.2592 | 40500 | 0.0007 | 0.0006 | -0.0555 | 0.6363 | - |
| 0.2598 | 40600 | 0.0007 | - | - | - | - |
| 0.2605 | 40700 | 0.0007 | - | - | - | - |
| 0.2611 | 40800 | 0.0007 | - | - | - | - |
| 0.2618 | 40900 | 0.0007 | - | - | - | - |
| 0.2624 | 41000 | 0.0007 | 0.0006 | -0.0551 | 0.6380 | - |
| 0.2630 | 41100 | 0.0007 | - | - | - | - |
| 0.2637 | 41200 | 0.0007 | - | - | - | - |
| 0.2643 | 41300 | 0.0007 | - | - | - | - |
| 0.2650 | 41400 | 0.0007 | - | - | - | - |
| 0.2656 | 41500 | 0.0007 | 0.0005 | -0.0550 | 0.6404 | - |
| 0.2662 | 41600 | 0.0007 | - | - | - | - |
| 0.2669 | 41700 | 0.0007 | - | - | - | - |
| 0.2675 | 41800 | 0.0007 | - | - | - | - |
| 0.2682 | 41900 | 0.0007 | - | - | - | - |
| 0.2688 | 42000 | 0.0007 | 0.0005 | -0.0546 | 0.6411 | - |
| 0.2694 | 42100 | 0.0007 | - | - | - | - |
| 0.2701 | 42200 | 0.0007 | - | - | - | - |
| 0.2707 | 42300 | 0.0007 | - | - | - | - |
| 0.2714 | 42400 | 0.0007 | - | - | - | - |
| 0.272 | 42500 | 0.0007 | 0.0005 | -0.0545 | 0.6374 | - |
| 0.2726 | 42600 | 0.0007 | - | - | - | - |
| 0.2733 | 42700 | 0.0007 | - | - | - | - |
| 0.2739 | 42800 | 0.0007 | - | - | - | - |
| 0.2746 | 42900 | 0.0007 | - | - | - | - |
| 0.2752 | 43000 | 0.0007 | 0.0005 | -0.0543 | 0.6427 | - |
| 0.2758 | 43100 | 0.0007 | - | - | - | - |
| 0.2765 | 43200 | 0.0007 | - | - | - | - |
| 0.2771 | 43300 | 0.0007 | - | - | - | - |
| 0.2778 | 43400 | 0.0007 | - | - | - | - |
| 0.2784 | 43500 | 0.0007 | 0.0005 | -0.0541 | 0.6402 | - |
| 0.2790 | 43600 | 0.0007 | - | - | - | - |
| 0.2797 | 43700 | 0.0007 | - | - | - | - |
| 0.2803 | 43800 | 0.0007 | - | - | - | - |
| 0.2810 | 43900 | 0.0007 | - | - | - | - |
| 0.2816 | 44000 | 0.0007 | 0.0005 | -0.0540 | 0.6440 | - |
| 0.2822 | 44100 | 0.0007 | - | - | - | - |
| 0.2829 | 44200 | 0.0007 | - | - | - | - |
| 0.2835 | 44300 | 0.0007 | - | - | - | - |
| 0.2842 | 44400 | 0.0007 | - | - | - | - |
| 0.2848 | 44500 | 0.0007 | 0.0005 | -0.0538 | 0.6429 | - |
| 0.2854 | 44600 | 0.0007 | - | - | - | - |
| 0.2861 | 44700 | 0.0007 | - | - | - | - |
| 0.2867 | 44800 | 0.0007 | - | - | - | - |
| 0.2874 | 44900 | 0.0007 | - | - | - | - |
| 0.288 | 45000 | 0.0007 | 0.0005 | -0.0536 | 0.6396 | - |
| 0.2886 | 45100 | 0.0007 | - | - | - | - |
| 0.2893 | 45200 | 0.0007 | - | - | - | - |
| 0.2899 | 45300 | 0.0007 | - | - | - | - |
| 0.2906 | 45400 | 0.0007 | - | - | - | - |
| 0.2912 | 45500 | 0.0007 | 0.0005 | -0.0535 | 0.6438 | - |
| 0.2918 | 45600 | 0.0007 | - | - | - | - |
| 0.2925 | 45700 | 0.0007 | - | - | - | - |
| 0.2931 | 45800 | 0.0007 | - | - | - | - |
| 0.2938 | 45900 | 0.0007 | - | - | - | - |
| 0.2944 | 46000 | 0.0007 | 0.0005 | -0.0532 | 0.6430 | - |
| 0.2950 | 46100 | 0.0007 | - | - | - | - |
| 0.2957 | 46200 | 0.0007 | - | - | - | - |
| 0.2963 | 46300 | 0.0007 | - | - | - | - |
| 0.2970 | 46400 | 0.0007 | - | - | - | - |
| 0.2976 | 46500 | 0.0007 | 0.0005 | -0.0530 | 0.6364 | - |
| 0.2982 | 46600 | 0.0007 | - | - | - | - |
| 0.2989 | 46700 | 0.0007 | - | - | - | - |
| 0.2995 | 46800 | 0.0007 | - | - | - | - |
| 0.3002 | 46900 | 0.0007 | - | - | - | - |
| 0.3008 | 47000 | 0.0007 | 0.0005 | -0.0530 | 0.6418 | - |
| 0.3014 | 47100 | 0.0007 | - | - | - | - |
| 0.3021 | 47200 | 0.0007 | - | - | - | - |
| 0.3027 | 47300 | 0.0007 | - | - | - | - |
| 0.3034 | 47400 | 0.0007 | - | - | - | - |
| 0.304 | 47500 | 0.0007 | 0.0005 | -0.0527 | 0.6413 | - |
| 0.3046 | 47600 | 0.0007 | - | - | - | - |
| 0.3053 | 47700 | 0.0007 | - | - | - | - |
| 0.3059 | 47800 | 0.0007 | - | - | - | - |
| 0.3066 | 47900 | 0.0007 | - | - | - | - |
| 0.3072 | 48000 | 0.0007 | 0.0005 | -0.0526 | 0.6411 | - |
| 0.3078 | 48100 | 0.0007 | - | - | - | - |
| 0.3085 | 48200 | 0.0007 | - | - | - | - |
| 0.3091 | 48300 | 0.0007 | - | - | - | - |
| 0.3098 | 48400 | 0.0007 | - | - | - | - |
| 0.3104 | 48500 | 0.0007 | 0.0005 | -0.0524 | 0.6426 | - |
| 0.3110 | 48600 | 0.0007 | - | - | - | - |
| 0.3117 | 48700 | 0.0007 | - | - | - | - |
| 0.3123 | 48800 | 0.0007 | - | - | - | - |
| 0.3130 | 48900 | 0.0007 | - | - | - | - |
| 0.3136 | 49000 | 0.0007 | 0.0005 | -0.0523 | 0.6417 | - |
| 0.3142 | 49100 | 0.0007 | - | - | - | - |
| 0.3149 | 49200 | 0.0007 | - | - | - | - |
| 0.3155 | 49300 | 0.0007 | - | - | - | - |
| 0.3162 | 49400 | 0.0007 | - | - | - | - |
| 0.3168 | 49500 | 0.0007 | 0.0005 | -0.0521 | 0.6405 | - |
| 0.3174 | 49600 | 0.0007 | - | - | - | - |
| 0.3181 | 49700 | 0.0007 | - | - | - | - |
| 0.3187 | 49800 | 0.0007 | - | - | - | - |
| 0.3194 | 49900 | 0.0007 | - | - | - | - |
| 0.32 | 50000 | 0.0007 | 0.0005 | -0.0521 | 0.6398 | - |
| 0.3206 | 50100 | 0.0007 | - | - | - | - |
| 0.3213 | 50200 | 0.0007 | - | - | - | - |
| 0.3219 | 50300 | 0.0007 | - | - | - | - |
| 0.3226 | 50400 | 0.0007 | - | - | - | - |
| 0.3232 | 50500 | 0.0007 | 0.0005 | -0.0518 | 0.6424 | - |
| 0.3238 | 50600 | 0.0007 | - | - | - | - |
| 0.3245 | 50700 | 0.0007 | - | - | - | - |
| 0.3251 | 50800 | 0.0007 | - | - | - | - |
| 0.3258 | 50900 | 0.0007 | - | - | - | - |
| 0.3264 | 51000 | 0.0007 | 0.0005 | -0.0517 | 0.6405 | - |
| 0.3270 | 51100 | 0.0006 | - | - | - | - |
| 0.3277 | 51200 | 0.0007 | - | - | - | - |
| 0.3283 | 51300 | 0.0007 | - | - | - | - |
| 0.3290 | 51400 | 0.0007 | - | - | - | - |
| 0.3296 | 51500 | 0.0007 | 0.0005 | -0.0517 | 0.6443 | - |
| 0.3302 | 51600 | 0.0007 | - | - | - | - |
| 0.3309 | 51700 | 0.0007 | - | - | - | - |
| 0.3315 | 51800 | 0.0006 | - | - | - | - |
| 0.3322 | 51900 | 0.0007 | - | - | - | - |
| 0.3328 | 52000 | 0.0006 | 0.0005 | -0.0515 | 0.6424 | - |
| 0.3334 | 52100 | 0.0007 | - | - | - | - |
| 0.3341 | 52200 | 0.0007 | - | - | - | - |
| 0.3347 | 52300 | 0.0007 | - | - | - | - |
| 0.3354 | 52400 | 0.0006 | - | - | - | - |
| 0.336 | 52500 | 0.0006 | 0.0005 | -0.0513 | 0.6424 | - |
| 0.3366 | 52600 | 0.0007 | - | - | - | - |
| 0.3373 | 52700 | 0.0006 | - | - | - | - |
| 0.3379 | 52800 | 0.0006 | - | - | - | - |
| 0.3386 | 52900 | 0.0006 | - | - | - | - |
| 0.3392 | 53000 | 0.0006 | 0.0005 | -0.0512 | 0.6364 | - |
| 0.3398 | 53100 | 0.0007 | - | - | - | - |
| 0.3405 | 53200 | 0.0006 | - | - | - | - |
| 0.3411 | 53300 | 0.0006 | - | - | - | - |
| 0.3418 | 53400 | 0.0006 | - | - | - | - |
| 0.3424 | 53500 | 0.0006 | 0.0005 | -0.0511 | 0.6399 | - |
| 0.3430 | 53600 | 0.0006 | - | - | - | - |
| 0.3437 | 53700 | 0.0006 | - | - | - | - |
| 0.3443 | 53800 | 0.0006 | - | - | - | - |
| 0.3450 | 53900 | 0.0006 | - | - | - | - |
| 0.3456 | 54000 | 0.0006 | 0.0005 | -0.0509 | 0.6393 | - |
| 0.3462 | 54100 | 0.0006 | - | - | - | - |
| 0.3469 | 54200 | 0.0006 | - | - | - | - |
| 0.3475 | 54300 | 0.0006 | - | - | - | - |
| 0.3482 | 54400 | 0.0006 | - | - | - | - |
| 0.3488 | 54500 | 0.0006 | 0.0005 | -0.0508 | 0.6386 | - |
| 0.3494 | 54600 | 0.0006 | - | - | - | - |
| 0.3501 | 54700 | 0.0006 | - | - | - | - |
| 0.3507 | 54800 | 0.0006 | - | - | - | - |
| 0.3514 | 54900 | 0.0006 | - | - | - | - |
| 0.352 | 55000 | 0.0006 | 0.0005 | -0.0506 | 0.6377 | - |
| 0.3526 | 55100 | 0.0006 | - | - | - | - |
| 0.3533 | 55200 | 0.0006 | - | - | - | - |
| 0.3539 | 55300 | 0.0006 | - | - | - | - |
| 0.3546 | 55400 | 0.0006 | - | - | - | - |
| 0.3552 | 55500 | 0.0006 | 0.0005 | -0.0505 | 0.6374 | - |
| 0.3558 | 55600 | 0.0006 | - | - | - | - |
| 0.3565 | 55700 | 0.0006 | - | - | - | - |
| 0.3571 | 55800 | 0.0006 | - | - | - | - |
| 0.3578 | 55900 | 0.0006 | - | - | - | - |
| 0.3584 | 56000 | 0.0006 | 0.0005 | -0.0505 | 0.6422 | - |
| 0.3590 | 56100 | 0.0006 | - | - | - | - |
| 0.3597 | 56200 | 0.0006 | - | - | - | - |
| 0.3603 | 56300 | 0.0006 | - | - | - | - |
| 0.3610 | 56400 | 0.0006 | - | - | - | - |
| 0.3616 | 56500 | 0.0006 | 0.0005 | -0.0504 | 0.6405 | - |
| 0.3622 | 56600 | 0.0006 | - | - | - | - |
| 0.3629 | 56700 | 0.0006 | - | - | - | - |
| 0.3635 | 56800 | 0.0006 | - | - | - | - |
| 0.3642 | 56900 | 0.0006 | - | - | - | - |
| 0.3648 | 57000 | 0.0006 | 0.0005 | -0.0503 | 0.6366 | - |
| 0.3654 | 57100 | 0.0006 | - | - | - | - |
| 0.3661 | 57200 | 0.0006 | - | - | - | - |
| 0.3667 | 57300 | 0.0006 | - | - | - | - |
| 0.3674 | 57400 | 0.0006 | - | - | - | - |
| 0.368 | 57500 | 0.0006 | 0.0005 | -0.0501 | 0.6390 | - |
| 0.3686 | 57600 | 0.0006 | - | - | - | - |
| 0.3693 | 57700 | 0.0006 | - | - | - | - |
| 0.3699 | 57800 | 0.0006 | - | - | - | - |
| 0.3706 | 57900 | 0.0006 | - | - | - | - |
| 0.3712 | 58000 | 0.0006 | 0.0005 | -0.0499 | 0.6429 | - |
| 0.3718 | 58100 | 0.0006 | - | - | - | - |
| 0.3725 | 58200 | 0.0006 | - | - | - | - |
| 0.3731 | 58300 | 0.0006 | - | - | - | - |
| 0.3738 | 58400 | 0.0006 | - | - | - | - |
| 0.3744 | 58500 | 0.0006 | 0.0005 | -0.0499 | 0.6440 | - |
| 0.3750 | 58600 | 0.0006 | - | - | - | - |
| 0.3757 | 58700 | 0.0006 | - | - | - | - |
| 0.3763 | 58800 | 0.0006 | - | - | - | - |
| 0.3770 | 58900 | 0.0006 | - | - | - | - |
| 0.3776 | 59000 | 0.0006 | 0.0005 | -0.0497 | 0.6383 | - |
| 0.3782 | 59100 | 0.0006 | - | - | - | - |
| 0.3789 | 59200 | 0.0006 | - | - | - | - |
| 0.3795 | 59300 | 0.0006 | - | - | - | - |
| 0.3802 | 59400 | 0.0006 | - | - | - | - |
| 0.3808 | 59500 | 0.0006 | 0.0005 | -0.0497 | 0.6418 | - |
| 0.3814 | 59600 | 0.0006 | - | - | - | - |
| 0.3821 | 59700 | 0.0006 | - | - | - | - |
| 0.3827 | 59800 | 0.0006 | - | - | - | - |
| 0.3834 | 59900 | 0.0006 | - | - | - | - |
| 0.384 | 60000 | 0.0006 | 0.0005 | -0.0496 | 0.6431 | - |
| 0.3846 | 60100 | 0.0006 | - | - | - | - |
| 0.3853 | 60200 | 0.0006 | - | - | - | - |
| 0.3859 | 60300 | 0.0006 | - | - | - | - |
| 0.3866 | 60400 | 0.0006 | - | - | - | - |
| 0.3872 | 60500 | 0.0006 | 0.0005 | -0.0495 | 0.6421 | - |
| 0.3878 | 60600 | 0.0006 | - | - | - | - |
| 0.3885 | 60700 | 0.0006 | - | - | - | - |
| 0.3891 | 60800 | 0.0006 | - | - | - | - |
| 0.3898 | 60900 | 0.0006 | - | - | - | - |
| 0.3904 | 61000 | 0.0006 | 0.0005 | -0.0494 | 0.6397 | - |
| 0.3910 | 61100 | 0.0006 | - | - | - | - |
| 0.3917 | 61200 | 0.0006 | - | - | - | - |
| 0.3923 | 61300 | 0.0006 | - | - | - | - |
| 0.3930 | 61400 | 0.0006 | - | - | - | - |
| 0.3936 | 61500 | 0.0006 | 0.0005 | -0.0493 | 0.6424 | - |
| 0.3942 | 61600 | 0.0006 | - | - | - | - |
| 0.3949 | 61700 | 0.0006 | - | - | - | - |
| 0.3955 | 61800 | 0.0006 | - | - | - | - |
| 0.3962 | 61900 | 0.0006 | - | - | - | - |
| 0.3968 | 62000 | 0.0006 | 0.0005 | -0.0491 | 0.6428 | - |
| 0.3974 | 62100 | 0.0006 | - | - | - | - |
| 0.3981 | 62200 | 0.0006 | - | - | - | - |
| 0.3987 | 62300 | 0.0006 | - | - | - | - |
| 0.3994 | 62400 | 0.0006 | - | - | - | - |
| 0.4 | 62500 | 0.0006 | 0.0005 | -0.0490 | 0.6385 | - |
| 0.4006 | 62600 | 0.0006 | - | - | - | - |
| 0.4013 | 62700 | 0.0006 | - | - | - | - |
| 0.4019 | 62800 | 0.0006 | - | - | - | - |
| 0.4026 | 62900 | 0.0006 | - | - | - | - |
| 0.4032 | 63000 | 0.0006 | 0.0005 | -0.0489 | 0.6411 | - |
| 0.4038 | 63100 | 0.0006 | - | - | - | - |
| 0.4045 | 63200 | 0.0006 | - | - | - | - |
| 0.4051 | 63300 | 0.0006 | - | - | - | - |
| 0.4058 | 63400 | 0.0006 | - | - | - | - |
| 0.4064 | 63500 | 0.0006 | 0.0005 | -0.0489 | 0.6396 | - |
| 0.4070 | 63600 | 0.0006 | - | - | - | - |
| 0.4077 | 63700 | 0.0006 | - | - | - | - |
| 0.4083 | 63800 | 0.0006 | - | - | - | - |
| 0.4090 | 63900 | 0.0006 | - | - | - | - |
| 0.4096 | 64000 | 0.0006 | 0.0005 | -0.0487 | 0.6415 | - |
| 0.4102 | 64100 | 0.0006 | - | - | - | - |
| 0.4109 | 64200 | 0.0006 | - | - | - | - |
| 0.4115 | 64300 | 0.0006 | - | - | - | - |
| 0.4122 | 64400 | 0.0006 | - | - | - | - |
| 0.4128 | 64500 | 0.0006 | 0.0005 | -0.0487 | 0.6437 | - |
| 0.4134 | 64600 | 0.0006 | - | - | - | - |
| 0.4141 | 64700 | 0.0006 | - | - | - | - |
| 0.4147 | 64800 | 0.0006 | - | - | - | - |
| 0.4154 | 64900 | 0.0006 | - | - | - | - |
| 0.416 | 65000 | 0.0006 | 0.0005 | -0.0487 | 0.6439 | - |
| 0.4166 | 65100 | 0.0006 | - | - | - | - |
| 0.4173 | 65200 | 0.0006 | - | - | - | - |
| 0.4179 | 65300 | 0.0006 | - | - | - | - |
| 0.4186 | 65400 | 0.0006 | - | - | - | - |
| 0.4192 | 65500 | 0.0006 | 0.0005 | -0.0484 | 0.6395 | - |
| 0.4198 | 65600 | 0.0006 | - | - | - | - |
| 0.4205 | 65700 | 0.0006 | - | - | - | - |
| 0.4211 | 65800 | 0.0006 | - | - | - | - |
| 0.4218 | 65900 | 0.0006 | - | - | - | - |
| 0.4224 | 66000 | 0.0006 | 0.0005 | -0.0484 | 0.6404 | - |
| 0.4230 | 66100 | 0.0006 | - | - | - | - |
| 0.4237 | 66200 | 0.0006 | - | - | - | - |
| 0.4243 | 66300 | 0.0006 | - | - | - | - |
| 0.4250 | 66400 | 0.0006 | - | - | - | - |
| 0.4256 | 66500 | 0.0006 | 0.0005 | -0.0483 | 0.6435 | - |
| 0.4262 | 66600 | 0.0006 | - | - | - | - |
| 0.4269 | 66700 | 0.0006 | - | - | - | - |
| 0.4275 | 66800 | 0.0006 | - | - | - | - |
| 0.4282 | 66900 | 0.0006 | - | - | - | - |
| 0.4288 | 67000 | 0.0006 | 0.0005 | -0.0482 | 0.6396 | - |
| 0.4294 | 67100 | 0.0006 | - | - | - | - |
| 0.4301 | 67200 | 0.0006 | - | - | - | - |
| 0.4307 | 67300 | 0.0006 | - | - | - | - |
| 0.4314 | 67400 | 0.0006 | - | - | - | - |
| 0.432 | 67500 | 0.0006 | 0.0005 | -0.0482 | 0.6417 | - |
| 0.4326 | 67600 | 0.0006 | - | - | - | - |
| 0.4333 | 67700 | 0.0006 | - | - | - | - |
| 0.4339 | 67800 | 0.0006 | - | - | - | - |
| 0.4346 | 67900 | 0.0006 | - | - | - | - |
| 0.4352 | 68000 | 0.0006 | 0.0005 | -0.0481 | 0.6395 | - |
| 0.4358 | 68100 | 0.0006 | - | - | - | - |
| 0.4365 | 68200 | 0.0006 | - | - | - | - |
| 0.4371 | 68300 | 0.0006 | - | - | - | - |
| 0.4378 | 68400 | 0.0006 | - | - | - | - |
| 0.4384 | 68500 | 0.0006 | 0.0005 | -0.0480 | 0.6416 | - |
| 0.4390 | 68600 | 0.0006 | - | - | - | - |
| 0.4397 | 68700 | 0.0006 | - | - | - | - |
| 0.4403 | 68800 | 0.0006 | - | - | - | - |
| 0.4410 | 68900 | 0.0006 | - | - | - | - |
| 0.4416 | 69000 | 0.0006 | 0.0005 | -0.0478 | 0.6437 | - |
| 0.4422 | 69100 | 0.0006 | - | - | - | - |
| 0.4429 | 69200 | 0.0006 | - | - | - | - |
| 0.4435 | 69300 | 0.0006 | - | - | - | - |
| 0.4442 | 69400 | 0.0006 | - | - | - | - |
| 0.4448 | 69500 | 0.0006 | 0.0005 | -0.0478 | 0.6393 | - |
| 0.4454 | 69600 | 0.0006 | - | - | - | - |
| 0.4461 | 69700 | 0.0006 | - | - | - | - |
| 0.4467 | 69800 | 0.0006 | - | - | - | - |
| 0.4474 | 69900 | 0.0006 | - | - | - | - |
| 0.448 | 70000 | 0.0006 | 0.0005 | -0.0478 | 0.6443 | - |
| 0.4486 | 70100 | 0.0006 | - | - | - | - |
| 0.4493 | 70200 | 0.0006 | - | - | - | - |
| 0.4499 | 70300 | 0.0006 | - | - | - | - |
| 0.4506 | 70400 | 0.0006 | - | - | - | - |
| 0.4512 | 70500 | 0.0006 | 0.0005 | -0.0476 | 0.6436 | - |
| 0.4518 | 70600 | 0.0006 | - | - | - | - |
| 0.4525 | 70700 | 0.0006 | - | - | - | - |
| 0.4531 | 70800 | 0.0006 | - | - | - | - |
| 0.4538 | 70900 | 0.0006 | - | - | - | - |
| 0.4544 | 71000 | 0.0006 | 0.0005 | -0.0477 | 0.6478 | - |
| 0.4550 | 71100 | 0.0006 | - | - | - | - |
| 0.4557 | 71200 | 0.0006 | - | - | - | - |
| 0.4563 | 71300 | 0.0006 | - | - | - | - |
| 0.4570 | 71400 | 0.0006 | - | - | - | - |
| 0.4576 | 71500 | 0.0006 | 0.0005 | -0.0474 | 0.6409 | - |
| 0.4582 | 71600 | 0.0006 | - | - | - | - |
| 0.4589 | 71700 | 0.0006 | - | - | - | - |
| 0.4595 | 71800 | 0.0006 | - | - | - | - |
| 0.4602 | 71900 | 0.0006 | - | - | - | - |
| 0.4608 | 72000 | 0.0006 | 0.0005 | -0.0474 | 0.6436 | - |
| 0.4614 | 72100 | 0.0006 | - | - | - | - |
| 0.4621 | 72200 | 0.0006 | - | - | - | - |
| 0.4627 | 72300 | 0.0006 | - | - | - | - |
| 0.4634 | 72400 | 0.0006 | - | - | - | - |
| 0.464 | 72500 | 0.0006 | 0.0005 | -0.0474 | 0.6433 | - |
| 0.4646 | 72600 | 0.0006 | - | - | - | - |
| 0.4653 | 72700 | 0.0006 | - | - | - | - |
| 0.4659 | 72800 | 0.0006 | - | - | - | - |
| 0.4666 | 72900 | 0.0006 | - | - | - | - |
| 0.4672 | 73000 | 0.0006 | 0.0005 | -0.0473 | 0.6406 | - |
| 0.4678 | 73100 | 0.0006 | - | - | - | - |
| 0.4685 | 73200 | 0.0006 | - | - | - | - |
| 0.4691 | 73300 | 0.0006 | - | - | - | - |
| 0.4698 | 73400 | 0.0006 | - | - | - | - |
| 0.4704 | 73500 | 0.0006 | 0.0005 | -0.0472 | 0.6398 | - |
| 0.4710 | 73600 | 0.0006 | - | - | - | - |
| 0.4717 | 73700 | 0.0006 | - | - | - | - |
| 0.4723 | 73800 | 0.0006 | - | - | - | - |
| 0.4730 | 73900 | 0.0006 | - | - | - | - |
| 0.4736 | 74000 | 0.0006 | 0.0005 | -0.0471 | 0.6401 | - |
| 0.4742 | 74100 | 0.0006 | - | - | - | - |
| 0.4749 | 74200 | 0.0006 | - | - | - | - |
| 0.4755 | 74300 | 0.0006 | - | - | - | - |
| 0.4762 | 74400 | 0.0006 | - | - | - | - |
| 0.4768 | 74500 | 0.0006 | 0.0005 | -0.0470 | 0.6417 | - |
| 0.4774 | 74600 | 0.0006 | - | - | - | - |
| 0.4781 | 74700 | 0.0006 | - | - | - | - |
| 0.4787 | 74800 | 0.0006 | - | - | - | - |
| 0.4794 | 74900 | 0.0006 | - | - | - | - |
| 0.48 | 75000 | 0.0006 | 0.0005 | -0.0470 | 0.6419 | - |
| 0.4806 | 75100 | 0.0006 | - | - | - | - |
| 0.4813 | 75200 | 0.0006 | - | - | - | - |
| 0.4819 | 75300 | 0.0006 | - | - | - | - |
| 0.4826 | 75400 | 0.0006 | - | - | - | - |
| 0.4832 | 75500 | 0.0006 | 0.0005 | -0.0469 | 0.6419 | - |
| 0.4838 | 75600 | 0.0006 | - | - | - | - |
| 0.4845 | 75700 | 0.0006 | - | - | - | - |
| 0.4851 | 75800 | 0.0006 | - | - | - | - |
| 0.4858 | 75900 | 0.0006 | - | - | - | - |
| 0.4864 | 76000 | 0.0006 | 0.0005 | -0.0469 | 0.6518 | - |
| 0.4870 | 76100 | 0.0006 | - | - | - | - |
| 0.4877 | 76200 | 0.0006 | - | - | - | - |
| 0.4883 | 76300 | 0.0006 | - | - | - | - |
| 0.4890 | 76400 | 0.0006 | - | - | - | - |
| 0.4896 | 76500 | 0.0006 | 0.0005 | -0.0467 | 0.6454 | - |
| 0.4902 | 76600 | 0.0006 | - | - | - | - |
| 0.4909 | 76700 | 0.0006 | - | - | - | - |
| 0.4915 | 76800 | 0.0006 | - | - | - | - |
| 0.4922 | 76900 | 0.0006 | - | - | - | - |
| 0.4928 | 77000 | 0.0006 | 0.0005 | -0.0467 | 0.6442 | - |
| 0.4934 | 77100 | 0.0006 | - | - | - | - |
| 0.4941 | 77200 | 0.0006 | - | - | - | - |
| 0.4947 | 77300 | 0.0006 | - | - | - | - |
| 0.4954 | 77400 | 0.0006 | - | - | - | - |
| 0.496 | 77500 | 0.0006 | 0.0005 | -0.0467 | 0.6461 | - |
| 0.4966 | 77600 | 0.0006 | - | - | - | - |
| 0.4973 | 77700 | 0.0006 | - | - | - | - |
| 0.4979 | 77800 | 0.0006 | - | - | - | - |
| 0.4986 | 77900 | 0.0006 | - | - | - | - |
| 0.4992 | 78000 | 0.0006 | 0.0005 | -0.0466 | 0.6461 | - |
| 0.4998 | 78100 | 0.0006 | - | - | - | - |
| 0.5005 | 78200 | 0.0006 | - | - | - | - |
| 0.5011 | 78300 | 0.0006 | - | - | - | - |
| 0.5018 | 78400 | 0.0006 | - | - | - | - |
| 0.5024 | 78500 | 0.0006 | 0.0005 | -0.0465 | 0.6432 | - |
| 0.5030 | 78600 | 0.0006 | - | - | - | - |
| 0.5037 | 78700 | 0.0006 | - | - | - | - |
| 0.5043 | 78800 | 0.0006 | - | - | - | - |
| 0.5050 | 78900 | 0.0006 | - | - | - | - |
| 0.5056 | 79000 | 0.0006 | 0.0005 | -0.0465 | 0.6433 | - |
| 0.5062 | 79100 | 0.0006 | - | - | - | - |
| 0.5069 | 79200 | 0.0006 | - | - | - | - |
| 0.5075 | 79300 | 0.0006 | - | - | - | - |
| 0.5082 | 79400 | 0.0006 | - | - | - | - |
| 0.5088 | 79500 | 0.0006 | 0.0005 | -0.0463 | 0.6436 | - |
| 0.5094 | 79600 | 0.0006 | - | - | - | - |
| 0.5101 | 79700 | 0.0006 | - | - | - | - |
| 0.5107 | 79800 | 0.0006 | - | - | - | - |
| 0.5114 | 79900 | 0.0006 | - | - | - | - |
| 0.512 | 80000 | 0.0006 | 0.0005 | -0.0463 | 0.6418 | - |
| 0.5126 | 80100 | 0.0006 | - | - | - | - |
| 0.5133 | 80200 | 0.0006 | - | - | - | - |
| 0.5139 | 80300 | 0.0006 | - | - | - | - |
| 0.5146 | 80400 | 0.0006 | - | - | - | - |
| 0.5152 | 80500 | 0.0006 | 0.0005 | -0.0462 | 0.6446 | - |
| 0.5158 | 80600 | 0.0006 | - | - | - | - |
| 0.5165 | 80700 | 0.0006 | - | - | - | - |
| 0.5171 | 80800 | 0.0006 | - | - | - | - |
| 0.5178 | 80900 | 0.0006 | - | - | - | - |
| 0.5184 | 81000 | 0.0006 | 0.0005 | -0.0462 | 0.6431 | - |
| 0.5190 | 81100 | 0.0006 | - | - | - | - |
| 0.5197 | 81200 | 0.0006 | - | - | - | - |
| 0.5203 | 81300 | 0.0006 | - | - | - | - |
| 0.5210 | 81400 | 0.0006 | - | - | - | - |
| 0.5216 | 81500 | 0.0006 | 0.0005 | -0.0462 | 0.6450 | - |
| 0.5222 | 81600 | 0.0006 | - | - | - | - |
| 0.5229 | 81700 | 0.0006 | - | - | - | - |
| 0.5235 | 81800 | 0.0006 | - | - | - | - |
| 0.5242 | 81900 | 0.0006 | - | - | - | - |
| 0.5248 | 82000 | 0.0006 | 0.0005 | -0.0461 | 0.6438 | - |
| 0.5254 | 82100 | 0.0006 | - | - | - | - |
| 0.5261 | 82200 | 0.0006 | - | - | - | - |
| 0.5267 | 82300 | 0.0006 | - | - | - | - |
| 0.5274 | 82400 | 0.0006 | - | - | - | - |
| 0.528 | 82500 | 0.0006 | 0.0005 | -0.0460 | 0.6430 | - |
| 0.5286 | 82600 | 0.0006 | - | - | - | - |
| 0.5293 | 82700 | 0.0006 | - | - | - | - |
| 0.5299 | 82800 | 0.0006 | - | - | - | - |
| 0.5306 | 82900 | 0.0006 | - | - | - | - |
| 0.5312 | 83000 | 0.0006 | 0.0005 | -0.0459 | 0.6443 | - |
| 0.5318 | 83100 | 0.0006 | - | - | - | - |
| 0.5325 | 83200 | 0.0006 | - | - | - | - |
| 0.5331 | 83300 | 0.0006 | - | - | - | - |
| 0.5338 | 83400 | 0.0006 | - | - | - | - |
| 0.5344 | 83500 | 0.0006 | 0.0005 | -0.0459 | 0.6431 | - |
| 0.5350 | 83600 | 0.0006 | - | - | - | - |
| 0.5357 | 83700 | 0.0006 | - | - | - | - |
| 0.5363 | 83800 | 0.0006 | - | - | - | - |
| 0.5370 | 83900 | 0.0006 | - | - | - | - |
| 0.5376 | 84000 | 0.0006 | 0.0005 | -0.0458 | 0.6440 | - |
| 0.5382 | 84100 | 0.0006 | - | - | - | - |
| 0.5389 | 84200 | 0.0006 | - | - | - | - |
| 0.5395 | 84300 | 0.0006 | - | - | - | - |
| 0.5402 | 84400 | 0.0006 | - | - | - | - |
| 0.5408 | 84500 | 0.0006 | 0.0005 | -0.0457 | 0.6432 | - |
| 0.5414 | 84600 | 0.0006 | - | - | - | - |
| 0.5421 | 84700 | 0.0006 | - | - | - | - |
| 0.5427 | 84800 | 0.0006 | - | - | - | - |
| 0.5434 | 84900 | 0.0006 | - | - | - | - |
| 0.544 | 85000 | 0.0006 | 0.0005 | -0.0456 | 0.6437 | - |
| 0.5446 | 85100 | 0.0006 | - | - | - | - |
| 0.5453 | 85200 | 0.0006 | - | - | - | - |
| 0.5459 | 85300 | 0.0006 | - | - | - | - |
| 0.5466 | 85400 | 0.0006 | - | - | - | - |
| 0.5472 | 85500 | 0.0006 | 0.0005 | -0.0456 | 0.6435 | - |
| 0.5478 | 85600 | 0.0006 | - | - | - | - |
| 0.5485 | 85700 | 0.0006 | - | - | - | - |
| 0.5491 | 85800 | 0.0006 | - | - | - | - |
| 0.5498 | 85900 | 0.0006 | - | - | - | - |
| 0.5504 | 86000 | 0.0006 | 0.0005 | -0.0456 | 0.6472 | - |
| 0.5510 | 86100 | 0.0006 | - | - | - | - |
| 0.5517 | 86200 | 0.0006 | - | - | - | - |
| 0.5523 | 86300 | 0.0006 | - | - | - | - |
| 0.5530 | 86400 | 0.0006 | - | - | - | - |
| 0.5536 | 86500 | 0.0006 | 0.0005 | -0.0455 | 0.6452 | - |
| 0.5542 | 86600 | 0.0006 | - | - | - | - |
| 0.5549 | 86700 | 0.0006 | - | - | - | - |
| 0.5555 | 86800 | 0.0006 | - | - | - | - |
| 0.5562 | 86900 | 0.0006 | - | - | - | - |
| 0.5568 | 87000 | 0.0006 | 0.0005 | -0.0454 | 0.6448 | - |
| 0.5574 | 87100 | 0.0006 | - | - | - | - |
| 0.5581 | 87200 | 0.0006 | - | - | - | - |
| 0.5587 | 87300 | 0.0006 | - | - | - | - |
| 0.5594 | 87400 | 0.0006 | - | - | - | - |
| 0.56 | 87500 | 0.0006 | 0.0005 | -0.0453 | 0.6433 | - |
| 0.5606 | 87600 | 0.0006 | - | - | - | - |
| 0.5613 | 87700 | 0.0006 | - | - | - | - |
| 0.5619 | 87800 | 0.0006 | - | - | - | - |
| 0.5626 | 87900 | 0.0006 | - | - | - | - |
| 0.5632 | 88000 | 0.0006 | 0.0005 | -0.0453 | 0.6438 | - |
| 0.5638 | 88100 | 0.0006 | - | - | - | - |
| 0.5645 | 88200 | 0.0006 | - | - | - | - |
| 0.5651 | 88300 | 0.0006 | - | - | - | - |
| 0.5658 | 88400 | 0.0006 | - | - | - | - |
| 0.5664 | 88500 | 0.0006 | 0.0005 | -0.0452 | 0.6454 | - |
| 0.5670 | 88600 | 0.0006 | - | - | - | - |
| 0.5677 | 88700 | 0.0006 | - | - | - | - |
| 0.5683 | 88800 | 0.0006 | - | - | - | - |
| 0.5690 | 88900 | 0.0006 | - | - | - | - |
| 0.5696 | 89000 | 0.0006 | 0.0005 | -0.0452 | 0.6443 | - |
| 0.5702 | 89100 | 0.0006 | - | - | - | - |
| 0.5709 | 89200 | 0.0006 | - | - | - | - |
| 0.5715 | 89300 | 0.0006 | - | - | - | - |
| 0.5722 | 89400 | 0.0006 | - | - | - | - |
| 0.5728 | 89500 | 0.0006 | 0.0005 | -0.0451 | 0.6418 | - |
| 0.5734 | 89600 | 0.0006 | - | - | - | - |
| 0.5741 | 89700 | 0.0006 | - | - | - | - |
| 0.5747 | 89800 | 0.0006 | - | - | - | - |
| 0.5754 | 89900 | 0.0006 | - | - | - | - |
| 0.576 | 90000 | 0.0006 | 0.0005 | -0.0451 | 0.6427 | - |
| 0.5766 | 90100 | 0.0006 | - | - | - | - |
| 0.5773 | 90200 | 0.0006 | - | - | - | - |
| 0.5779 | 90300 | 0.0006 | - | - | - | - |
| 0.5786 | 90400 | 0.0006 | - | - | - | - |
| 0.5792 | 90500 | 0.0006 | 0.0005 | -0.0451 | 0.6428 | - |
| 0.5798 | 90600 | 0.0006 | - | - | - | - |
| 0.5805 | 90700 | 0.0006 | - | - | - | - |
| 0.5811 | 90800 | 0.0006 | - | - | - | - |
| 0.5818 | 90900 | 0.0006 | - | - | - | - |
| 0.5824 | 91000 | 0.0006 | 0.0004 | -0.0450 | 0.6440 | - |
| 0.5830 | 91100 | 0.0006 | - | - | - | - |
| 0.5837 | 91200 | 0.0006 | - | - | - | - |
| 0.5843 | 91300 | 0.0006 | - | - | - | - |
| 0.5850 | 91400 | 0.0006 | - | - | - | - |
| 0.5856 | 91500 | 0.0006 | 0.0005 | -0.0450 | 0.6445 | - |
| 0.5862 | 91600 | 0.0006 | - | - | - | - |
| 0.5869 | 91700 | 0.0006 | - | - | - | - |
| 0.5875 | 91800 | 0.0006 | - | - | - | - |
| 0.5882 | 91900 | 0.0006 | - | - | - | - |
| 0.5888 | 92000 | 0.0006 | 0.0004 | -0.0449 | 0.6425 | - |
| 0.5894 | 92100 | 0.0006 | - | - | - | - |
| 0.5901 | 92200 | 0.0006 | - | - | - | - |
| 0.5907 | 92300 | 0.0006 | - | - | - | - |
| 0.5914 | 92400 | 0.0006 | - | - | - | - |
| 0.592 | 92500 | 0.0006 | 0.0004 | -0.0449 | 0.6419 | - |
| 0.5926 | 92600 | 0.0006 | - | - | - | - |
| 0.5933 | 92700 | 0.0006 | - | - | - | - |
| 0.5939 | 92800 | 0.0006 | - | - | - | - |
| 0.5946 | 92900 | 0.0006 | - | - | - | - |
| 0.5952 | 93000 | 0.0006 | 0.0004 | -0.0448 | 0.6427 | - |
| 0.5958 | 93100 | 0.0006 | - | - | - | - |
| 0.5965 | 93200 | 0.0006 | - | - | - | - |
| 0.5971 | 93300 | 0.0006 | - | - | - | - |
| 0.5978 | 93400 | 0.0006 | - | - | - | - |
| 0.5984 | 93500 | 0.0006 | 0.0004 | -0.0448 | 0.6453 | - |
| 0.5990 | 93600 | 0.0006 | - | - | - | - |
| 0.5997 | 93700 | 0.0006 | - | - | - | - |
| 0.6003 | 93800 | 0.0006 | - | - | - | - |
| 0.6010 | 93900 | 0.0006 | - | - | - | - |
| 0.6016 | 94000 | 0.0006 | 0.0004 | -0.0448 | 0.6421 | - |
| 0.6022 | 94100 | 0.0006 | - | - | - | - |
| 0.6029 | 94200 | 0.0006 | - | - | - | - |
| 0.6035 | 94300 | 0.0006 | - | - | - | - |
| 0.6042 | 94400 | 0.0006 | - | - | - | - |
| 0.6048 | 94500 | 0.0006 | 0.0004 | -0.0447 | 0.6443 | - |
| 0.6054 | 94600 | 0.0006 | - | - | - | - |
| 0.6061 | 94700 | 0.0006 | - | - | - | - |
| 0.6067 | 94800 | 0.0006 | - | - | - | - |
| 0.6074 | 94900 | 0.0006 | - | - | - | - |
| 0.608 | 95000 | 0.0006 | 0.0004 | -0.0447 | 0.6449 | - |
| 0.6086 | 95100 | 0.0006 | - | - | - | - |
| 0.6093 | 95200 | 0.0006 | - | - | - | - |
| 0.6099 | 95300 | 0.0006 | - | - | - | - |
| 0.6106 | 95400 | 0.0006 | - | - | - | - |
| 0.6112 | 95500 | 0.0006 | 0.0004 | -0.0446 | 0.6438 | - |
| 0.6118 | 95600 | 0.0006 | - | - | - | - |
| 0.6125 | 95700 | 0.0006 | - | - | - | - |
| 0.6131 | 95800 | 0.0006 | - | - | - | - |
| 0.6138 | 95900 | 0.0006 | - | - | - | - |
| 0.6144 | 96000 | 0.0006 | 0.0004 | -0.0446 | 0.6449 | - |
| 0.6150 | 96100 | 0.0006 | - | - | - | - |
| 0.6157 | 96200 | 0.0006 | - | - | - | - |
| 0.6163 | 96300 | 0.0006 | - | - | - | - |
| 0.6170 | 96400 | 0.0006 | - | - | - | - |
| 0.6176 | 96500 | 0.0006 | 0.0004 | -0.0445 | 0.6422 | - |
| 0.6182 | 96600 | 0.0006 | - | - | - | - |
| 0.6189 | 96700 | 0.0006 | - | - | - | - |
| 0.6195 | 96800 | 0.0006 | - | - | - | - |
| 0.6202 | 96900 | 0.0006 | - | - | - | - |
| 0.6208 | 97000 | 0.0006 | 0.0004 | -0.0444 | 0.6429 | - |
| 0.6214 | 97100 | 0.0006 | - | - | - | - |
| 0.6221 | 97200 | 0.0006 | - | - | - | - |
| 0.6227 | 97300 | 0.0006 | - | - | - | - |
| 0.6234 | 97400 | 0.0006 | - | - | - | - |
| 0.624 | 97500 | 0.0006 | 0.0004 | -0.0444 | 0.6440 | - |
| 0.6246 | 97600 | 0.0006 | - | - | - | - |
| 0.6253 | 97700 | 0.0006 | - | - | - | - |
| 0.6259 | 97800 | 0.0006 | - | - | - | - |
| 0.6266 | 97900 | 0.0006 | - | - | - | - |
| 0.6272 | 98000 | 0.0006 | 0.0004 | -0.0444 | 0.6426 | - |
| 0.6278 | 98100 | 0.0006 | - | - | - | - |
| 0.6285 | 98200 | 0.0006 | - | - | - | - |
| 0.6291 | 98300 | 0.0006 | - | - | - | - |
| 0.6298 | 98400 | 0.0006 | - | - | - | - |
| 0.6304 | 98500 | 0.0006 | 0.0004 | -0.0443 | 0.6426 | - |
| 0.6310 | 98600 | 0.0006 | - | - | - | - |
| 0.6317 | 98700 | 0.0006 | - | - | - | - |
| 0.6323 | 98800 | 0.0006 | - | - | - | - |
| 0.6330 | 98900 | 0.0006 | - | - | - | - |
| 0.6336 | 99000 | 0.0006 | 0.0004 | -0.0443 | 0.6426 | - |
| 0.6342 | 99100 | 0.0006 | - | - | - | - |
| 0.6349 | 99200 | 0.0006 | - | - | - | - |
| 0.6355 | 99300 | 0.0006 | - | - | - | - |
| 0.6362 | 99400 | 0.0006 | - | - | - | - |
| 0.6368 | 99500 | 0.0006 | 0.0004 | -0.0443 | 0.6474 | - |
| 0.6374 | 99600 | 0.0006 | - | - | - | - |
| 0.6381 | 99700 | 0.0006 | - | - | - | - |
| 0.6387 | 99800 | 0.0006 | - | - | - | - |
| 0.6394 | 99900 | 0.0006 | - | - | - | - |
| 0.64 | 100000 | 0.0006 | 0.0004 | -0.0442 | 0.6414 | - |
| 0.6406 | 100100 | 0.0006 | - | - | - | - |
| 0.6413 | 100200 | 0.0006 | - | - | - | - |
| 0.6419 | 100300 | 0.0006 | - | - | - | - |
| 0.6426 | 100400 | 0.0006 | - | - | - | - |
| 0.6432 | 100500 | 0.0006 | 0.0004 | -0.0442 | 0.6449 | - |
| 0.6438 | 100600 | 0.0006 | - | - | - | - |
| 0.6445 | 100700 | 0.0006 | - | - | - | - |
| 0.6451 | 100800 | 0.0006 | - | - | - | - |
| 0.6458 | 100900 | 0.0006 | - | - | - | - |
| 0.6464 | 101000 | 0.0006 | 0.0004 | -0.0441 | 0.6421 | - |
| 0.6470 | 101100 | 0.0006 | - | - | - | - |
| 0.6477 | 101200 | 0.0006 | - | - | - | - |
| 0.6483 | 101300 | 0.0006 | - | - | - | - |
| 0.6490 | 101400 | 0.0006 | - | - | - | - |
| 0.6496 | 101500 | 0.0006 | 0.0004 | -0.0441 | 0.6451 | - |
| 0.6502 | 101600 | 0.0006 | - | - | - | - |
| 0.6509 | 101700 | 0.0006 | - | - | - | - |
| 0.6515 | 101800 | 0.0006 | - | - | - | - |
| 0.6522 | 101900 | 0.0006 | - | - | - | - |
| 0.6528 | 102000 | 0.0006 | 0.0004 | -0.0441 | 0.6432 | - |
| 0.6534 | 102100 | 0.0006 | - | - | - | - |
| 0.6541 | 102200 | 0.0006 | - | - | - | - |
| 0.6547 | 102300 | 0.0006 | - | - | - | - |
| 0.6554 | 102400 | 0.0006 | - | - | - | - |
| 0.656 | 102500 | 0.0006 | 0.0004 | -0.0441 | 0.6460 | - |
| 0.6566 | 102600 | 0.0006 | - | - | - | - |
| 0.6573 | 102700 | 0.0006 | - | - | - | - |
| 0.6579 | 102800 | 0.0006 | - | - | - | - |
| 0.6586 | 102900 | 0.0006 | - | - | - | - |
| 0.6592 | 103000 | 0.0006 | 0.0004 | -0.0439 | 0.6439 | - |
| 0.6598 | 103100 | 0.0006 | - | - | - | - |
| 0.6605 | 103200 | 0.0006 | - | - | - | - |
| 0.6611 | 103300 | 0.0006 | - | - | - | - |
| 0.6618 | 103400 | 0.0006 | - | - | - | - |
| 0.6624 | 103500 | 0.0006 | 0.0004 | -0.0440 | 0.6448 | - |
| 0.6630 | 103600 | 0.0006 | - | - | - | - |
| 0.6637 | 103700 | 0.0006 | - | - | - | - |
| 0.6643 | 103800 | 0.0006 | - | - | - | - |
| 0.6650 | 103900 | 0.0006 | - | - | - | - |
| 0.6656 | 104000 | 0.0006 | 0.0004 | -0.0439 | 0.6435 | - |
| 0.6662 | 104100 | 0.0006 | - | - | - | - |
| 0.6669 | 104200 | 0.0006 | - | - | - | - |
| 0.6675 | 104300 | 0.0006 | - | - | - | - |
| 0.6682 | 104400 | 0.0006 | - | - | - | - |
| 0.6688 | 104500 | 0.0006 | 0.0004 | -0.0439 | 0.6427 | - |
| 0.6694 | 104600 | 0.0006 | - | - | - | - |
| 0.6701 | 104700 | 0.0006 | - | - | - | - |
| 0.6707 | 104800 | 0.0006 | - | - | - | - |
| 0.6714 | 104900 | 0.0006 | - | - | - | - |
| 0.672 | 105000 | 0.0006 | 0.0004 | -0.0439 | 0.6458 | - |
| 0.6726 | 105100 | 0.0006 | - | - | - | - |
| 0.6733 | 105200 | 0.0006 | - | - | - | - |
| 0.6739 | 105300 | 0.0006 | - | - | - | - |
| 0.6746 | 105400 | 0.0006 | - | - | - | - |
| 0.6752 | 105500 | 0.0006 | 0.0004 | -0.0439 | 0.6436 | - |
| 0.6758 | 105600 | 0.0006 | - | - | - | - |
| 0.6765 | 105700 | 0.0006 | - | - | - | - |
| 0.6771 | 105800 | 0.0006 | - | - | - | - |
| 0.6778 | 105900 | 0.0006 | - | - | - | - |
| 0.6784 | 106000 | 0.0006 | 0.0004 | -0.0437 | 0.6432 | - |
| 0.6790 | 106100 | 0.0006 | - | - | - | - |
| 0.6797 | 106200 | 0.0006 | - | - | - | - |
| 0.6803 | 106300 | 0.0006 | - | - | - | - |
| 0.6810 | 106400 | 0.0006 | - | - | - | - |
| 0.6816 | 106500 | 0.0006 | 0.0004 | -0.0438 | 0.6481 | - |
| 0.6822 | 106600 | 0.0006 | - | - | - | - |
| 0.6829 | 106700 | 0.0006 | - | - | - | - |
| 0.6835 | 106800 | 0.0006 | - | - | - | - |
| 0.6842 | 106900 | 0.0006 | - | - | - | - |
| 0.6848 | 107000 | 0.0006 | 0.0004 | -0.0437 | 0.6431 | - |
| 0.6854 | 107100 | 0.0006 | - | - | - | - |
| 0.6861 | 107200 | 0.0006 | - | - | - | - |
| 0.6867 | 107300 | 0.0006 | - | - | - | - |
| 0.6874 | 107400 | 0.0006 | - | - | - | - |
| 0.688 | 107500 | 0.0006 | 0.0004 | -0.0436 | 0.6417 | - |
| 0.6886 | 107600 | 0.0006 | - | - | - | - |
| 0.6893 | 107700 | 0.0006 | - | - | - | - |
| 0.6899 | 107800 | 0.0006 | - | - | - | - |
| 0.6906 | 107900 | 0.0006 | - | - | - | - |
| 0.6912 | 108000 | 0.0006 | 0.0004 | -0.0436 | 0.6418 | - |
| 0.6918 | 108100 | 0.0006 | - | - | - | - |
| 0.6925 | 108200 | 0.0006 | - | - | - | - |
| 0.6931 | 108300 | 0.0006 | - | - | - | - |
| 0.6938 | 108400 | 0.0006 | - | - | - | - |
| 0.6944 | 108500 | 0.0006 | 0.0004 | -0.0435 | 0.6435 | - |
| 0.6950 | 108600 | 0.0006 | - | - | - | - |
| 0.6957 | 108700 | 0.0006 | - | - | - | - |
| 0.6963 | 108800 | 0.0006 | - | - | - | - |
| 0.6970 | 108900 | 0.0006 | - | - | - | - |
| 0.6976 | 109000 | 0.0006 | 0.0004 | -0.0435 | 0.6431 | - |
| 0.6982 | 109100 | 0.0006 | - | - | - | - |
| 0.6989 | 109200 | 0.0006 | - | - | - | - |
| 0.6995 | 109300 | 0.0006 | - | - | - | - |
| 0.7002 | 109400 | 0.0006 | - | - | - | - |
| 0.7008 | 109500 | 0.0006 | 0.0004 | -0.0435 | 0.6425 | - |
| 0.7014 | 109600 | 0.0006 | - | - | - | - |
| 0.7021 | 109700 | 0.0006 | - | - | - | - |
| 0.7027 | 109800 | 0.0006 | - | - | - | - |
| 0.7034 | 109900 | 0.0006 | - | - | - | - |
| 0.704 | 110000 | 0.0006 | 0.0004 | -0.0435 | 0.6420 | - |
| 0.7046 | 110100 | 0.0006 | - | - | - | - |
| 0.7053 | 110200 | 0.0006 | - | - | - | - |
| 0.7059 | 110300 | 0.0006 | - | - | - | - |
| 0.7066 | 110400 | 0.0006 | - | - | - | - |
| 0.7072 | 110500 | 0.0006 | 0.0004 | -0.0435 | 0.6437 | - |
| 0.7078 | 110600 | 0.0006 | - | - | - | - |
| 0.7085 | 110700 | 0.0006 | - | - | - | - |
| 0.7091 | 110800 | 0.0006 | - | - | - | - |
| 0.7098 | 110900 | 0.0006 | - | - | - | - |
| 0.7104 | 111000 | 0.0006 | 0.0004 | -0.0434 | 0.6427 | - |
| 0.7110 | 111100 | 0.0006 | - | - | - | - |
| 0.7117 | 111200 | 0.0006 | - | - | - | - |
| 0.7123 | 111300 | 0.0006 | - | - | - | - |
| 0.7130 | 111400 | 0.0006 | - | - | - | - |
| 0.7136 | 111500 | 0.0006 | 0.0004 | -0.0433 | 0.6432 | - |
| 0.7142 | 111600 | 0.0006 | - | - | - | - |
| 0.7149 | 111700 | 0.0006 | - | - | - | - |
| 0.7155 | 111800 | 0.0006 | - | - | - | - |
| 0.7162 | 111900 | 0.0006 | - | - | - | - |
| 0.7168 | 112000 | 0.0006 | 0.0004 | -0.0433 | 0.6427 | - |
| 0.7174 | 112100 | 0.0006 | - | - | - | - |
| 0.7181 | 112200 | 0.0006 | - | - | - | - |
| 0.7187 | 112300 | 0.0006 | - | - | - | - |
| 0.7194 | 112400 | 0.0006 | - | - | - | - |
| 0.72 | 112500 | 0.0006 | 0.0004 | -0.0433 | 0.6440 | - |
| 0.7206 | 112600 | 0.0006 | - | - | - | - |
| 0.7213 | 112700 | 0.0006 | - | - | - | - |
| 0.7219 | 112800 | 0.0006 | - | - | - | - |
| 0.7226 | 112900 | 0.0006 | - | - | - | - |
| 0.7232 | 113000 | 0.0006 | 0.0004 | -0.0433 | 0.6432 | - |
| 0.7238 | 113100 | 0.0006 | - | - | - | - |
| 0.7245 | 113200 | 0.0006 | - | - | - | - |
| 0.7251 | 113300 | 0.0006 | - | - | - | - |
| 0.7258 | 113400 | 0.0006 | - | - | - | - |
| 0.7264 | 113500 | 0.0006 | 0.0004 | -0.0433 | 0.6426 | - |
| 0.7270 | 113600 | 0.0006 | - | - | - | - |
| 0.7277 | 113700 | 0.0006 | - | - | - | - |
| 0.7283 | 113800 | 0.0006 | - | - | - | - |
| 0.7290 | 113900 | 0.0006 | - | - | - | - |
| 0.7296 | 114000 | 0.0006 | 0.0004 | -0.0432 | 0.6413 | - |
| 0.7302 | 114100 | 0.0006 | - | - | - | - |
| 0.7309 | 114200 | 0.0006 | - | - | - | - |
| 0.7315 | 114300 | 0.0006 | - | - | - | - |
| 0.7322 | 114400 | 0.0006 | - | - | - | - |
| 0.7328 | 114500 | 0.0006 | 0.0004 | -0.0431 | 0.6457 | - |
| 0.7334 | 114600 | 0.0006 | - | - | - | - |
| 0.7341 | 114700 | 0.0006 | - | - | - | - |
| 0.7347 | 114800 | 0.0006 | - | - | - | - |
| 0.7354 | 114900 | 0.0006 | - | - | - | - |
| 0.736 | 115000 | 0.0006 | 0.0004 | -0.0431 | 0.6467 | - |
| 0.7366 | 115100 | 0.0006 | - | - | - | - |
| 0.7373 | 115200 | 0.0006 | - | - | - | - |
| 0.7379 | 115300 | 0.0006 | - | - | - | - |
| 0.7386 | 115400 | 0.0006 | - | - | - | - |
| 0.7392 | 115500 | 0.0006 | 0.0004 | -0.0430 | 0.6409 | - |
| 0.7398 | 115600 | 0.0006 | - | - | - | - |
| 0.7405 | 115700 | 0.0006 | - | - | - | - |
| 0.7411 | 115800 | 0.0006 | - | - | - | - |
| 0.7418 | 115900 | 0.0006 | - | - | - | - |
| 0.7424 | 116000 | 0.0006 | 0.0004 | -0.0431 | 0.6418 | - |
| 0.7430 | 116100 | 0.0006 | - | - | - | - |
| 0.7437 | 116200 | 0.0006 | - | - | - | - |
| 0.7443 | 116300 | 0.0006 | - | - | - | - |
| 0.7450 | 116400 | 0.0006 | - | - | - | - |
| 0.7456 | 116500 | 0.0006 | 0.0004 | -0.0430 | 0.6443 | - |
| 0.7462 | 116600 | 0.0006 | - | - | - | - |
| 0.7469 | 116700 | 0.0006 | - | - | - | - |
| 0.7475 | 116800 | 0.0006 | - | - | - | - |
| 0.7482 | 116900 | 0.0006 | - | - | - | - |
| 0.7488 | 117000 | 0.0006 | 0.0004 | -0.0430 | 0.6445 | - |
| 0.7494 | 117100 | 0.0006 | - | - | - | - |
| 0.7501 | 117200 | 0.0006 | - | - | - | - |
| 0.7507 | 117300 | 0.0006 | - | - | - | - |
| 0.7514 | 117400 | 0.0006 | - | - | - | - |
| 0.752 | 117500 | 0.0006 | 0.0004 | -0.0430 | 0.6444 | - |
| 0.7526 | 117600 | 0.0006 | - | - | - | - |
| 0.7533 | 117700 | 0.0006 | - | - | - | - |
| 0.7539 | 117800 | 0.0006 | - | - | - | - |
| 0.7546 | 117900 | 0.0006 | - | - | - | - |
| 0.7552 | 118000 | 0.0006 | 0.0004 | -0.0430 | 0.6449 | - |
| 0.7558 | 118100 | 0.0006 | - | - | - | - |
| 0.7565 | 118200 | 0.0006 | - | - | - | - |
| 0.7571 | 118300 | 0.0006 | - | - | - | - |
| 0.7578 | 118400 | 0.0006 | - | - | - | - |
| 0.7584 | 118500 | 0.0006 | 0.0004 | -0.0429 | 0.6455 | - |
| 0.7590 | 118600 | 0.0006 | - | - | - | - |
| 0.7597 | 118700 | 0.0006 | - | - | - | - |
| 0.7603 | 118800 | 0.0006 | - | - | - | - |
| 0.7610 | 118900 | 0.0006 | - | - | - | - |
| 0.7616 | 119000 | 0.0006 | 0.0004 | -0.0429 | 0.6430 | - |
| 0.7622 | 119100 | 0.0006 | - | - | - | - |
| 0.7629 | 119200 | 0.0006 | - | - | - | - |
| 0.7635 | 119300 | 0.0006 | - | - | - | - |
| 0.7642 | 119400 | 0.0006 | - | - | - | - |
| 0.7648 | 119500 | 0.0006 | 0.0004 | -0.0428 | 0.6429 | - |
| 0.7654 | 119600 | 0.0006 | - | - | - | - |
| 0.7661 | 119700 | 0.0006 | - | - | - | - |
| 0.7667 | 119800 | 0.0006 | - | - | - | - |
| 0.7674 | 119900 | 0.0006 | - | - | - | - |
| 0.768 | 120000 | 0.0006 | 0.0004 | -0.0428 | 0.6421 | - |
| 0.7686 | 120100 | 0.0006 | - | - | - | - |
| 0.7693 | 120200 | 0.0006 | - | - | - | - |
| 0.7699 | 120300 | 0.0006 | - | - | - | - |
| 0.7706 | 120400 | 0.0006 | - | - | - | - |
| 0.7712 | 120500 | 0.0006 | 0.0004 | -0.0428 | 0.6434 | - |
| 0.7718 | 120600 | 0.0006 | - | - | - | - |
| 0.7725 | 120700 | 0.0006 | - | - | - | - |
| 0.7731 | 120800 | 0.0006 | - | - | - | - |
| 0.7738 | 120900 | 0.0006 | - | - | - | - |
| 0.7744 | 121000 | 0.0006 | 0.0004 | -0.0428 | 0.6441 | - |
| 0.7750 | 121100 | 0.0006 | - | - | - | - |
| 0.7757 | 121200 | 0.0006 | - | - | - | - |
| 0.7763 | 121300 | 0.0006 | - | - | - | - |
| 0.7770 | 121400 | 0.0006 | - | - | - | - |
| 0.7776 | 121500 | 0.0006 | 0.0004 | -0.0427 | 0.6420 | - |
| 0.7782 | 121600 | 0.0006 | - | - | - | - |
| 0.7789 | 121700 | 0.0006 | - | - | - | - |
| 0.7795 | 121800 | 0.0006 | - | - | - | - |
| 0.7802 | 121900 | 0.0006 | - | - | - | - |
| 0.7808 | 122000 | 0.0006 | 0.0004 | -0.0427 | 0.6436 | - |
| 0.7814 | 122100 | 0.0006 | - | - | - | - |
| 0.7821 | 122200 | 0.0006 | - | - | - | - |
| 0.7827 | 122300 | 0.0006 | - | - | - | - |
| 0.7834 | 122400 | 0.0006 | - | - | - | - |
| 0.784 | 122500 | 0.0006 | 0.0004 | -0.0427 | 0.6430 | - |
| 0.7846 | 122600 | 0.0006 | - | - | - | - |
| 0.7853 | 122700 | 0.0006 | - | - | - | - |
| 0.7859 | 122800 | 0.0006 | - | - | - | - |
| 0.7866 | 122900 | 0.0006 | - | - | - | - |
| 0.7872 | 123000 | 0.0006 | 0.0004 | -0.0427 | 0.6410 | - |
| 0.7878 | 123100 | 0.0006 | - | - | - | - |
| 0.7885 | 123200 | 0.0006 | - | - | - | - |
| 0.7891 | 123300 | 0.0006 | - | - | - | - |
| 0.7898 | 123400 | 0.0006 | - | - | - | - |
| 0.7904 | 123500 | 0.0006 | 0.0004 | -0.0426 | 0.6449 | - |
| 0.7910 | 123600 | 0.0006 | - | - | - | - |
| 0.7917 | 123700 | 0.0005 | - | - | - | - |
| 0.7923 | 123800 | 0.0006 | - | - | - | - |
| 0.7930 | 123900 | 0.0006 | - | - | - | - |
| 0.7936 | 124000 | 0.0006 | 0.0004 | -0.0427 | 0.6438 | - |
| 0.7942 | 124100 | 0.0006 | - | - | - | - |
| 0.7949 | 124200 | 0.0006 | - | - | - | - |
| 0.7955 | 124300 | 0.0006 | - | - | - | - |
| 0.7962 | 124400 | 0.0006 | - | - | - | - |
| 0.7968 | 124500 | 0.0006 | 0.0004 | -0.0426 | 0.6416 | - |
| 0.7974 | 124600 | 0.0006 | - | - | - | - |
| 0.7981 | 124700 | 0.0006 | - | - | - | - |
| 0.7987 | 124800 | 0.0006 | - | - | - | - |
| 0.7994 | 124900 | 0.0006 | - | - | - | - |
| 0.8 | 125000 | 0.0006 | 0.0004 | -0.0425 | 0.6414 | - |
| 0.8006 | 125100 | 0.0006 | - | - | - | - |
| 0.8013 | 125200 | 0.0005 | - | - | - | - |
| 0.8019 | 125300 | 0.0006 | - | - | - | - |
| 0.8026 | 125400 | 0.0006 | - | - | - | - |
| 0.8032 | 125500 | 0.0006 | 0.0004 | -0.0425 | 0.6427 | - |
| 0.8038 | 125600 | 0.0006 | - | - | - | - |
| 0.8045 | 125700 | 0.0006 | - | - | - | - |
| 0.8051 | 125800 | 0.0006 | - | - | - | - |
| 0.8058 | 125900 | 0.0006 | - | - | - | - |
| 0.8064 | 126000 | 0.0006 | 0.0004 | -0.0425 | 0.6458 | - |
| 0.8070 | 126100 | 0.0005 | - | - | - | - |
| 0.8077 | 126200 | 0.0006 | - | - | - | - |
| 0.8083 | 126300 | 0.0006 | - | - | - | - |
| 0.8090 | 126400 | 0.0006 | - | - | - | - |
| 0.8096 | 126500 | 0.0006 | 0.0004 | -0.0425 | 0.6446 | - |
| 0.8102 | 126600 | 0.0006 | - | - | - | - |
| 0.8109 | 126700 | 0.0006 | - | - | - | - |
| 0.8115 | 126800 | 0.0006 | - | - | - | - |
| 0.8122 | 126900 | 0.0005 | - | - | - | - |
| 0.8128 | 127000 | 0.0006 | 0.0004 | -0.0425 | 0.6441 | - |
| 0.8134 | 127100 | 0.0006 | - | - | - | - |
| 0.8141 | 127200 | 0.0006 | - | - | - | - |
| 0.8147 | 127300 | 0.0006 | - | - | - | - |
| 0.8154 | 127400 | 0.0006 | - | - | - | - |
| 0.816 | 127500 | 0.0006 | 0.0004 | -0.0424 | 0.6431 | - |
| 0.8166 | 127600 | 0.0006 | - | - | - | - |
| 0.8173 | 127700 | 0.0006 | - | - | - | - |
| 0.8179 | 127800 | 0.0006 | - | - | - | - |
| 0.8186 | 127900 | 0.0006 | - | - | - | - |
| 0.8192 | 128000 | 0.0006 | 0.0004 | -0.0424 | 0.6428 | - |
| 0.8198 | 128100 | 0.0006 | - | - | - | - |
| 0.8205 | 128200 | 0.0006 | - | - | - | - |
| 0.8211 | 128300 | 0.0006 | - | - | - | - |
| 0.8218 | 128400 | 0.0006 | - | - | - | - |
| 0.8224 | 128500 | 0.0006 | 0.0004 | -0.0424 | 0.6449 | - |
| 0.8230 | 128600 | 0.0006 | - | - | - | - |
| 0.8237 | 128700 | 0.0005 | - | - | - | - |
| 0.8243 | 128800 | 0.0005 | - | - | - | - |
| 0.8250 | 128900 | 0.0005 | - | - | - | - |
| 0.8256 | 129000 | 0.0006 | 0.0004 | -0.0424 | 0.6420 | - |
| 0.8262 | 129100 | 0.0006 | - | - | - | - |
| 0.8269 | 129200 | 0.0005 | - | - | - | - |
| 0.8275 | 129300 | 0.0005 | - | - | - | - |
| 0.8282 | 129400 | 0.0006 | - | - | - | - |
| 0.8288 | 129500 | 0.0006 | 0.0004 | -0.0423 | 0.6434 | - |
| 0.8294 | 129600 | 0.0006 | - | - | - | - |
| 0.8301 | 129700 | 0.0006 | - | - | - | - |
| 0.8307 | 129800 | 0.0005 | - | - | - | - |
| 0.8314 | 129900 | 0.0005 | - | - | - | - |
| 0.832 | 130000 | 0.0005 | 0.0004 | -0.0424 | 0.6421 | - |
| 0.8326 | 130100 | 0.0005 | - | - | - | - |
| 0.8333 | 130200 | 0.0005 | - | - | - | - |
| 0.8339 | 130300 | 0.0006 | - | - | - | - |
| 0.8346 | 130400 | 0.0005 | - | - | - | - |
| 0.8352 | 130500 | 0.0005 | 0.0004 | -0.0423 | 0.6428 | - |
| 0.8358 | 130600 | 0.0005 | - | - | - | - |
| 0.8365 | 130700 | 0.0006 | - | - | - | - |
| 0.8371 | 130800 | 0.0005 | - | - | - | - |
| 0.8378 | 130900 | 0.0005 | - | - | - | - |
| 0.8384 | 131000 | 0.0006 | 0.0004 | -0.0423 | 0.6439 | - |
| 0.8390 | 131100 | 0.0006 | - | - | - | - |
| 0.8397 | 131200 | 0.0005 | - | - | - | - |
| 0.8403 | 131300 | 0.0006 | - | - | - | - |
| 0.8410 | 131400 | 0.0006 | - | - | - | - |
| 0.8416 | 131500 | 0.0005 | 0.0004 | -0.0422 | 0.6438 | - |
| 0.8422 | 131600 | 0.0006 | - | - | - | - |
| 0.8429 | 131700 | 0.0005 | - | - | - | - |
| 0.8435 | 131800 | 0.0005 | - | - | - | - |
| 0.8442 | 131900 | 0.0006 | - | - | - | - |
| 0.8448 | 132000 | 0.0006 | 0.0004 | -0.0422 | 0.6417 | - |
| 0.8454 | 132100 | 0.0005 | - | - | - | - |
| 0.8461 | 132200 | 0.0005 | - | - | - | - |
| 0.8467 | 132300 | 0.0006 | - | - | - | - |
| 0.8474 | 132400 | 0.0005 | - | - | - | - |
| 0.848 | 132500 | 0.0005 | 0.0004 | -0.0422 | 0.6437 | - |
| 0.8486 | 132600 | 0.0005 | - | - | - | - |
| 0.8493 | 132700 | 0.0006 | - | - | - | - |
| 0.8499 | 132800 | 0.0006 | - | - | - | - |
| 0.8506 | 132900 | 0.0006 | - | - | - | - |
| 0.8512 | 133000 | 0.0005 | 0.0004 | -0.0422 | 0.6441 | - |
| 0.8518 | 133100 | 0.0006 | - | - | - | - |
| 0.8525 | 133200 | 0.0005 | - | - | - | - |
| 0.8531 | 133300 | 0.0005 | - | - | - | - |
| 0.8538 | 133400 | 0.0005 | - | - | - | - |
| 0.8544 | 133500 | 0.0005 | 0.0004 | -0.0422 | 0.6439 | - |
| 0.8550 | 133600 | 0.0005 | - | - | - | - |
| 0.8557 | 133700 | 0.0005 | - | - | - | - |
| 0.8563 | 133800 | 0.0005 | - | - | - | - |
| 0.8570 | 133900 | 0.0006 | - | - | - | - |
| 0.8576 | 134000 | 0.0006 | 0.0004 | -0.0422 | 0.6435 | - |
| 0.8582 | 134100 | 0.0006 | - | - | - | - |
| 0.8589 | 134200 | 0.0005 | - | - | - | - |
| 0.8595 | 134300 | 0.0006 | - | - | - | - |
| 0.8602 | 134400 | 0.0006 | - | - | - | - |
| 0.8608 | 134500 | 0.0006 | 0.0004 | -0.0421 | 0.6428 | - |
| 0.8614 | 134600 | 0.0005 | - | - | - | - |
| 0.8621 | 134700 | 0.0005 | - | - | - | - |
| 0.8627 | 134800 | 0.0005 | - | - | - | - |
| 0.8634 | 134900 | 0.0005 | - | - | - | - |
| 0.864 | 135000 | 0.0005 | 0.0004 | -0.0421 | 0.6449 | - |
| 0.8646 | 135100 | 0.0006 | - | - | - | - |
| 0.8653 | 135200 | 0.0006 | - | - | - | - |
| 0.8659 | 135300 | 0.0005 | - | - | - | - |
| 0.8666 | 135400 | 0.0005 | - | - | - | - |
| 0.8672 | 135500 | 0.0006 | 0.0004 | -0.0421 | 0.6422 | - |
| 0.8678 | 135600 | 0.0006 | - | - | - | - |
| 0.8685 | 135700 | 0.0005 | - | - | - | - |
| 0.8691 | 135800 | 0.0005 | - | - | - | - |
| 0.8698 | 135900 | 0.0005 | - | - | - | - |
| 0.8704 | 136000 | 0.0006 | 0.0004 | -0.0421 | 0.6442 | - |
| 0.8710 | 136100 | 0.0006 | - | - | - | - |
| 0.8717 | 136200 | 0.0005 | - | - | - | - |
| 0.8723 | 136300 | 0.0006 | - | - | - | - |
| 0.8730 | 136400 | 0.0005 | - | - | - | - |
| 0.8736 | 136500 | 0.0006 | 0.0004 | -0.0421 | 0.6423 | - |
| 0.8742 | 136600 | 0.0005 | - | - | - | - |
| 0.8749 | 136700 | 0.0005 | - | - | - | - |
| 0.8755 | 136800 | 0.0005 | - | - | - | - |
| 0.8762 | 136900 | 0.0005 | - | - | - | - |
| 0.8768 | 137000 | 0.0005 | 0.0004 | -0.0420 | 0.6436 | - |
| 0.8774 | 137100 | 0.0005 | - | - | - | - |
| 0.8781 | 137200 | 0.0006 | - | - | - | - |
| 0.8787 | 137300 | 0.0005 | - | - | - | - |
| 0.8794 | 137400 | 0.0006 | - | - | - | - |
| 0.88 | 137500 | 0.0005 | 0.0004 | -0.0420 | 0.6437 | - |
| 0.8806 | 137600 | 0.0005 | - | - | - | - |
| 0.8813 | 137700 | 0.0005 | - | - | - | - |
| 0.8819 | 137800 | 0.0005 | - | - | - | - |
| 0.8826 | 137900 | 0.0006 | - | - | - | - |
| 0.8832 | 138000 | 0.0005 | 0.0004 | -0.0420 | 0.6435 | - |
| 0.8838 | 138100 | 0.0005 | - | - | - | - |
| 0.8845 | 138200 | 0.0006 | - | - | - | - |
| 0.8851 | 138300 | 0.0005 | - | - | - | - |
| 0.8858 | 138400 | 0.0005 | - | - | - | - |
| 0.8864 | 138500 | 0.0005 | 0.0004 | -0.0420 | 0.6422 | - |
| 0.8870 | 138600 | 0.0005 | - | - | - | - |
| 0.8877 | 138700 | 0.0005 | - | - | - | - |
| 0.8883 | 138800 | 0.0005 | - | - | - | - |
| 0.8890 | 138900 | 0.0005 | - | - | - | - |
| 0.8896 | 139000 | 0.0005 | 0.0004 | -0.0420 | 0.6434 | - |
| 0.8902 | 139100 | 0.0005 | - | - | - | - |
| 0.8909 | 139200 | 0.0005 | - | - | - | - |
| 0.8915 | 139300 | 0.0005 | - | - | - | - |
| 0.8922 | 139400 | 0.0005 | - | - | - | - |
| 0.8928 | 139500 | 0.0005 | 0.0004 | -0.0419 | 0.6422 | - |
| 0.8934 | 139600 | 0.0005 | - | - | - | - |
| 0.8941 | 139700 | 0.0005 | - | - | - | - |
| 0.8947 | 139800 | 0.0005 | - | - | - | - |
| 0.8954 | 139900 | 0.0005 | - | - | - | - |
| 0.896 | 140000 | 0.0005 | 0.0004 | -0.0419 | 0.6426 | - |
| 0.8966 | 140100 | 0.0005 | - | - | - | - |
| 0.8973 | 140200 | 0.0005 | - | - | - | - |
| 0.8979 | 140300 | 0.0005 | - | - | - | - |
| 0.8986 | 140400 | 0.0005 | - | - | - | - |
| 0.8992 | 140500 | 0.0005 | 0.0004 | -0.0419 | 0.6438 | - |
| 0.8998 | 140600 | 0.0005 | - | - | - | - |
| 0.9005 | 140700 | 0.0005 | - | - | - | - |
| 0.9011 | 140800 | 0.0005 | - | - | - | - |
| 0.9018 | 140900 | 0.0005 | - | - | - | - |
| 0.9024 | 141000 | 0.0005 | 0.0004 | -0.0419 | 0.6431 | - |
| 0.9030 | 141100 | 0.0005 | - | - | - | - |
| 0.9037 | 141200 | 0.0005 | - | - | - | - |
| 0.9043 | 141300 | 0.0005 | - | - | - | - |
| 0.9050 | 141400 | 0.0005 | - | - | - | - |
| 0.9056 | 141500 | 0.0005 | 0.0004 | -0.0418 | 0.6424 | - |
| 0.9062 | 141600 | 0.0005 | - | - | - | - |
| 0.9069 | 141700 | 0.0005 | - | - | - | - |
| 0.9075 | 141800 | 0.0005 | - | - | - | - |
| 0.9082 | 141900 | 0.0005 | - | - | - | - |
| 0.9088 | 142000 | 0.0005 | 0.0004 | -0.0418 | 0.6421 | - |
| 0.9094 | 142100 | 0.0005 | - | - | - | - |
| 0.9101 | 142200 | 0.0005 | - | - | - | - |
| 0.9107 | 142300 | 0.0005 | - | - | - | - |
| 0.9114 | 142400 | 0.0005 | - | - | - | - |
| 0.912 | 142500 | 0.0005 | 0.0004 | -0.0418 | 0.6420 | - |
| 0.9126 | 142600 | 0.0005 | - | - | - | - |
| 0.9133 | 142700 | 0.0005 | - | - | - | - |
| 0.9139 | 142800 | 0.0005 | - | - | - | - |
| 0.9146 | 142900 | 0.0005 | - | - | - | - |
| 0.9152 | 143000 | 0.0005 | 0.0004 | -0.0418 | 0.6435 | - |
| 0.9158 | 143100 | 0.0005 | - | - | - | - |
| 0.9165 | 143200 | 0.0005 | - | - | - | - |
| 0.9171 | 143300 | 0.0005 | - | - | - | - |
| 0.9178 | 143400 | 0.0005 | - | - | - | - |
| 0.9184 | 143500 | 0.0005 | 0.0004 | -0.0418 | 0.6420 | - |
| 0.9190 | 143600 | 0.0005 | - | - | - | - |
| 0.9197 | 143700 | 0.0005 | - | - | - | - |
| 0.9203 | 143800 | 0.0005 | - | - | - | - |
| 0.9210 | 143900 | 0.0005 | - | - | - | - |
| 0.9216 | 144000 | 0.0005 | 0.0004 | -0.0418 | 0.6431 | - |
| 0.9222 | 144100 | 0.0005 | - | - | - | - |
| 0.9229 | 144200 | 0.0005 | - | - | - | - |
| 0.9235 | 144300 | 0.0006 | - | - | - | - |
| 0.9242 | 144400 | 0.0005 | - | - | - | - |
| 0.9248 | 144500 | 0.0005 | 0.0004 | -0.0418 | 0.6422 | - |
| 0.9254 | 144600 | 0.0005 | - | - | - | - |
| 0.9261 | 144700 | 0.0005 | - | - | - | - |
| 0.9267 | 144800 | 0.0005 | - | - | - | - |
| 0.9274 | 144900 | 0.0005 | - | - | - | - |
| 0.928 | 145000 | 0.0005 | 0.0004 | -0.0417 | 0.6432 | - |
| 0.9286 | 145100 | 0.0005 | - | - | - | - |
| 0.9293 | 145200 | 0.0005 | - | - | - | - |
| 0.9299 | 145300 | 0.0005 | - | - | - | - |
| 0.9306 | 145400 | 0.0005 | - | - | - | - |
| 0.9312 | 145500 | 0.0005 | 0.0004 | -0.0417 | 0.6427 | - |
| 0.9318 | 145600 | 0.0005 | - | - | - | - |
| 0.9325 | 145700 | 0.0005 | - | - | - | - |
| 0.9331 | 145800 | 0.0005 | - | - | - | - |
| 0.9338 | 145900 | 0.0005 | - | - | - | - |
| 0.9344 | 146000 | 0.0005 | 0.0004 | -0.0417 | 0.6422 | - |
| 0.9350 | 146100 | 0.0005 | - | - | - | - |
| 0.9357 | 146200 | 0.0005 | - | - | - | - |
| 0.9363 | 146300 | 0.0005 | - | - | - | - |
| 0.9370 | 146400 | 0.0005 | - | - | - | - |
| 0.9376 | 146500 | 0.0005 | 0.0004 | -0.0417 | 0.6437 | - |
| 0.9382 | 146600 | 0.0005 | - | - | - | - |
| 0.9389 | 146700 | 0.0005 | - | - | - | - |
| 0.9395 | 146800 | 0.0005 | - | - | - | - |
| 0.9402 | 146900 | 0.0005 | - | - | - | - |
| 0.9408 | 147000 | 0.0005 | 0.0004 | -0.0417 | 0.6418 | - |
| 0.9414 | 147100 | 0.0005 | - | - | - | - |
| 0.9421 | 147200 | 0.0005 | - | - | - | - |
| 0.9427 | 147300 | 0.0005 | - | - | - | - |
| 0.9434 | 147400 | 0.0005 | - | - | - | - |
| 0.944 | 147500 | 0.0005 | 0.0004 | -0.0417 | 0.6425 | - |
| 0.9446 | 147600 | 0.0005 | - | - | - | - |
| 0.9453 | 147700 | 0.0005 | - | - | - | - |
| 0.9459 | 147800 | 0.0005 | - | - | - | - |
| 0.9466 | 147900 | 0.0005 | - | - | - | - |
| 0.9472 | 148000 | 0.0005 | 0.0004 | -0.0417 | 0.6434 | - |
| 0.9478 | 148100 | 0.0005 | - | - | - | - |
| 0.9485 | 148200 | 0.0005 | - | - | - | - |
| 0.9491 | 148300 | 0.0005 | - | - | - | - |
| 0.9498 | 148400 | 0.0005 | - | - | - | - |
| 0.9504 | 148500 | 0.0005 | 0.0004 | -0.0417 | 0.6433 | - |
| 0.9510 | 148600 | 0.0005 | - | - | - | - |
| 0.9517 | 148700 | 0.0005 | - | - | - | - |
| 0.9523 | 148800 | 0.0005 | - | - | - | - |
| 0.9530 | 148900 | 0.0005 | - | - | - | - |
| 0.9536 | 149000 | 0.0005 | 0.0004 | -0.0417 | 0.6428 | - |
| 0.9542 | 149100 | 0.0005 | - | - | - | - |
| 0.9549 | 149200 | 0.0005 | - | - | - | - |
| 0.9555 | 149300 | 0.0005 | - | - | - | - |
| 0.9562 | 149400 | 0.0005 | - | - | - | - |
| 0.9568 | 149500 | 0.0005 | 0.0004 | -0.0416 | 0.6430 | - |
| 0.9574 | 149600 | 0.0005 | - | - | - | - |
| 0.9581 | 149700 | 0.0005 | - | - | - | - |
| 0.9587 | 149800 | 0.0005 | - | - | - | - |
| 0.9594 | 149900 | 0.0005 | - | - | - | - |
| 0.96 | 150000 | 0.0005 | 0.0004 | -0.0416 | 0.6438 | - |
| 0.9606 | 150100 | 0.0005 | - | - | - | - |
| 0.9613 | 150200 | 0.0005 | - | - | - | - |
| 0.9619 | 150300 | 0.0005 | - | - | - | - |
| 0.9626 | 150400 | 0.0005 | - | - | - | - |
| 0.9632 | 150500 | 0.0005 | 0.0004 | -0.0416 | 0.6434 | - |
| 0.9638 | 150600 | 0.0005 | - | - | - | - |
| 0.9645 | 150700 | 0.0005 | - | - | - | - |
| 0.9651 | 150800 | 0.0005 | - | - | - | - |
| 0.9658 | 150900 | 0.0005 | - | - | - | - |
| 0.9664 | 151000 | 0.0005 | 0.0004 | -0.0416 | 0.6423 | - |
| 0.9670 | 151100 | 0.0005 | - | - | - | - |
| 0.9677 | 151200 | 0.0005 | - | - | - | - |
| 0.9683 | 151300 | 0.0005 | - | - | - | - |
| 0.9690 | 151400 | 0.0005 | - | - | - | - |
| 0.9696 | 151500 | 0.0005 | 0.0004 | -0.0416 | 0.6434 | - |
| 0.9702 | 151600 | 0.0005 | - | - | - | - |
| 0.9709 | 151700 | 0.0005 | - | - | - | - |
| 0.9715 | 151800 | 0.0005 | - | - | - | - |
| 0.9722 | 151900 | 0.0005 | - | - | - | - |
| 0.9728 | 152000 | 0.0005 | 0.0004 | -0.0416 | 0.6435 | - |
| 0.9734 | 152100 | 0.0005 | - | - | - | - |
| 0.9741 | 152200 | 0.0005 | - | - | - | - |
| 0.9747 | 152300 | 0.0005 | - | - | - | - |
| 0.9754 | 152400 | 0.0005 | - | - | - | - |
| 0.976 | 152500 | 0.0005 | 0.0004 | -0.0416 | 0.6431 | - |
| 0.9766 | 152600 | 0.0005 | - | - | - | - |
| 0.9773 | 152700 | 0.0005 | - | - | - | - |
| 0.9779 | 152800 | 0.0005 | - | - | - | - |
| 0.9786 | 152900 | 0.0005 | - | - | - | - |
| 0.9792 | 153000 | 0.0005 | 0.0004 | -0.0416 | 0.6433 | - |
| 0.9798 | 153100 | 0.0005 | - | - | - | - |
| 0.9805 | 153200 | 0.0005 | - | - | - | - |
| 0.9811 | 153300 | 0.0005 | - | - | - | - |
| 0.9818 | 153400 | 0.0005 | - | - | - | - |
| 0.9824 | 153500 | 0.0005 | 0.0004 | -0.0416 | 0.6427 | - |
| 0.9830 | 153600 | 0.0005 | - | - | - | - |
| 0.9837 | 153700 | 0.0005 | - | - | - | - |
| 0.9843 | 153800 | 0.0005 | - | - | - | - |
| 0.9850 | 153900 | 0.0005 | - | - | - | - |
| 0.9856 | 154000 | 0.0005 | 0.0004 | -0.0416 | 0.6430 | - |
| 0.9862 | 154100 | 0.0005 | - | - | - | - |
| 0.9869 | 154200 | 0.0005 | - | - | - | - |
| 0.9875 | 154300 | 0.0005 | - | - | - | - |
| 0.9882 | 154400 | 0.0005 | - | - | - | - |
| 0.9888 | 154500 | 0.0005 | 0.0004 | -0.0416 | 0.6430 | - |
| 0.9894 | 154600 | 0.0005 | - | - | - | - |
| 0.9901 | 154700 | 0.0005 | - | - | - | - |
| 0.9907 | 154800 | 0.0005 | - | - | - | - |
| 0.9914 | 154900 | 0.0005 | - | - | - | - |
| 0.992 | 155000 | 0.0005 | 0.0004 | -0.0415 | 0.6431 | - |
| 0.9926 | 155100 | 0.0005 | - | - | - | - |
| 0.9933 | 155200 | 0.0005 | - | - | - | - |
| 0.9939 | 155300 | 0.0005 | - | - | - | - |
| 0.9946 | 155400 | 0.0005 | - | - | - | - |
| 0.9952 | 155500 | 0.0005 | 0.0004 | -0.0415 | 0.6431 | - |
| 0.9958 | 155600 | 0.0005 | - | - | - | - |
| 0.9965 | 155700 | 0.0005 | - | - | - | - |
| 0.9971 | 155800 | 0.0005 | - | - | - | - |
| 0.9978 | 155900 | 0.0005 | - | - | - | - |
| 0.9984 | 156000 | 0.0005 | 0.0004 | -0.0415 | 0.6429 | - |
| 0.9990 | 156100 | 0.0005 | - | - | - | - |
| 0.9997 | 156200 | 0.0005 | - | - | - | - |
| 1.0 | 156250 | - | - | - | - | 0.5974 |
* The bold row denotes the saved checkpoint.
</details>
### Framework Versions
- Python: 3.10.14
- Sentence Transformers: 3.0.1
- Transformers: 4.44.0
- PyTorch: 2.4.0
- Accelerate: 0.33.0
- Datasets: 2.20.0
- 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",
}
```
#### MSELoss
```bibtex
@inproceedings{reimers-2020-multilingual-sentence-bert,
title = "Making Monolingual Sentence Embeddings Multilingual using Knowledge Distillation",
author = "Reimers, Nils and Gurevych, Iryna",
booktitle = "Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing",
month = "11",
year = "2020",
publisher = "Association for Computational Linguistics",
url = "https://arxiv.org/abs/2004.09813",
}
```
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