---
language: []
library_name: sentence-transformers
tags:
- sentence-transformers
- sentence-similarity
- feature-extraction
- dataset_size:100K<n<1M
- loss:CachedMultipleNegativesRankingLoss
- loss:AnglELoss
base_model: nomic-ai/nomic-embed-text-v1.5
metrics:
- cosine_accuracy
- dot_accuracy
- manhattan_accuracy
- euclidean_accuracy
- max_accuracy
- pearson_cosine
- spearman_cosine
- pearson_manhattan
- spearman_manhattan
- pearson_euclidean
- spearman_euclidean
- pearson_dot
- spearman_dot
- pearson_max
- spearman_max
widget:
- source_sentence: mw-59
  sentences:
  - i9
  - beats headphones
  - tablet stands for 7in
- source_sentence: totod
  sentences:
  - torxh
  - massage warehouse
  - ferry boats scrub cap
- source_sentence: 'search_query: ecloth'
  sentences:
  - 'search_query: friend wine stopper'
  - 'search_query: pants for teen girls'
  - 'search_query: 11x14 frame without mat'
- source_sentence: skull
  sentences:
  - dog kennel
  - duct tape colors
  - mustard tie
- source_sentence: 'search_query: dab rig'
  sentences:
  - 'search_query: aga stove'
  - 'search_query: jerky slicer machine'
  - 'search_query: womens wallet phone'
pipeline_tag: sentence-similarity
model-index:
- name: SentenceTransformer based on nomic-ai/nomic-embed-text-v1.5
  results:
  - task:
      type: triplet
      name: Triplet
    dataset:
      name: Unknown
      type: unknown
    metrics:
    - type: cosine_accuracy
      value: 0.702
      name: Cosine Accuracy
    - type: dot_accuracy
      value: 0.3047
      name: Dot Accuracy
    - type: manhattan_accuracy
      value: 0.7038
      name: Manhattan Accuracy
    - type: euclidean_accuracy
      value: 0.7034
      name: Euclidean Accuracy
    - type: max_accuracy
      value: 0.7038
      name: Max Accuracy
  - task:
      type: semantic-similarity
      name: Semantic Similarity
    dataset:
      name: Unknown
      type: unknown
    metrics:
    - type: pearson_cosine
      value: 0.44005266442024726
      name: Pearson Cosine
    - type: spearman_cosine
      value: 0.42992442611334314
      name: Spearman Cosine
    - type: pearson_manhattan
      value: 0.40023272026373946
      name: Pearson Manhattan
    - type: spearman_manhattan
      value: 0.4006937930339286
      name: Spearman Manhattan
    - type: pearson_euclidean
      value: 0.400264197728783
      name: Pearson Euclidean
    - type: spearman_euclidean
      value: 0.4007885190533924
      name: Spearman Euclidean
    - type: pearson_dot
      value: 0.443162859807234
      name: Pearson Dot
    - type: spearman_dot
      value: 0.435512515703368
      name: Spearman Dot
    - type: pearson_max
      value: 0.443162859807234
      name: Pearson Max
    - type: spearman_max
      value: 0.435512515703368
      name: Spearman Max
---

# SentenceTransformer based on nomic-ai/nomic-embed-text-v1.5

This is a [sentence-transformers](https://www.SBERT.net) model finetuned from [nomic-ai/nomic-embed-text-v1.5](https://huggingface.co/nomic-ai/nomic-embed-text-v1.5) on the triplets and pairs datasets. It maps sentences & paragraphs to a 768-dimensional dense vector space and can be used for semantic textual similarity, semantic search, paraphrase mining, text classification, clustering, and more.

## Model Details

### Model Description
- **Model Type:** Sentence Transformer
- **Base model:** [nomic-ai/nomic-embed-text-v1.5](https://huggingface.co/nomic-ai/nomic-embed-text-v1.5) <!-- at revision 91d2d6bfdddf0b0da840f901b533e99bae30d757 -->
- **Maximum Sequence Length:** 8192 tokens
- **Output Dimensionality:** 768 tokens
- **Similarity Function:** Cosine Similarity
- **Training Datasets:**
    - triplets
    - pairs
<!-- - **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': 8192, 'do_lower_case': False}) with Transformer model: NomicBertModel 
  (1): Pooling({'word_embedding_dimension': 768, 'pooling_mode_cls_token': False, 'pooling_mode_mean_tokens': True, 'pooling_mode_max_tokens': False, 'pooling_mode_mean_sqrt_len_tokens': False, 'pooling_mode_weightedmean_tokens': False, 'pooling_mode_lasttoken': False, 'include_prompt': True})
)
```

## Usage

### Direct Usage (Sentence Transformers)

First install the Sentence Transformers library:

```bash
pip install -U sentence-transformers
```

Then you can load this model and run inference.
```python
from sentence_transformers import SentenceTransformer

# Download from the 🤗 Hub
model = SentenceTransformer("sentence_transformers_model_id")
# Run inference
sentences = [
    'search_query: dab rig',
    'search_query: aga stove',
    'search_query: jerky slicer machine',
]
embeddings = model.encode(sentences)
print(embeddings.shape)
# [3, 768]

# 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

#### Triplet

* Evaluated with [<code>TripletEvaluator</code>](https://sbert.net/docs/package_reference/sentence_transformer/evaluation.html#sentence_transformers.evaluation.TripletEvaluator)

| Metric              | Value     |
|:--------------------|:----------|
| **cosine_accuracy** | **0.702** |
| dot_accuracy        | 0.3047    |
| manhattan_accuracy  | 0.7038    |
| euclidean_accuracy  | 0.7034    |
| max_accuracy        | 0.7038    |

#### Semantic Similarity

* Evaluated with [<code>EmbeddingSimilarityEvaluator</code>](https://sbert.net/docs/package_reference/sentence_transformer/evaluation.html#sentence_transformers.evaluation.EmbeddingSimilarityEvaluator)

| Metric              | Value      |
|:--------------------|:-----------|
| pearson_cosine      | 0.4401     |
| **spearman_cosine** | **0.4299** |
| pearson_manhattan   | 0.4002     |
| spearman_manhattan  | 0.4007     |
| pearson_euclidean   | 0.4003     |
| spearman_euclidean  | 0.4008     |
| pearson_dot         | 0.4432     |
| spearman_dot        | 0.4355     |
| pearson_max         | 0.4432     |
| spearman_max        | 0.4355     |

<!--
## 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 Datasets

#### triplets

* Dataset: triplets
* Size: 261,250 training samples
* Columns: <code>anchor</code>, <code>positive</code>, and <code>negative</code>
* Approximate statistics based on the first 1000 samples:
  |         | anchor                                                                            | positive                                                                            | negative                                                                            |
  |:--------|:----------------------------------------------------------------------------------|:------------------------------------------------------------------------------------|:------------------------------------------------------------------------------------|
  | type    | string                                                                            | string                                                                              | string                                                                              |
  | details | <ul><li>min: 7 tokens</li><li>mean: 11.57 tokens</li><li>max: 40 tokens</li></ul> | <ul><li>min: 17 tokens</li><li>mean: 43.83 tokens</li><li>max: 119 tokens</li></ul> | <ul><li>min: 15 tokens</li><li>mean: 43.31 tokens</li><li>max: 112 tokens</li></ul> |
* Samples:
  | anchor                                                                              | positive                                                                                                                                                 | negative                                                                                                                                                                                                                |
  |:------------------------------------------------------------------------------------|:---------------------------------------------------------------------------------------------------------------------------------------------------------|:------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
  | <code>search_query: ear warmers women north face</code>                             | <code>search_document: The North Face Women's Oh-Mega Fur Pom Beanie, TNF Black, OS, The North Face, Tnf Black</code>                                    | <code>search_document: The North Face Shinsky Beanie, TNF Light Grey Heather, OS, The North Face, Tnf Light Grey Heather</code>                                                                                         |
  | <code>search_query: natural braided hairstyles without weave for black women</code> | <code>search_document: Baseball Cap Wig Long Ombre Braids Cap Wig Hat with Synthetic Small Box Braiding Hair for Women Girls(B-53), Yunkang, B-53</code> | <code>search_document: K'ryssma Dark Brown Synthetic Wigs for women - Natural Looking Long Wavy Right Side Parting NONE Lace Heat Resistant Replacement Wig Full Machine Made 24 inch (#2), K'ryssma, Dark Brown</code> |
  | <code>search_query: boy siracha shirt</code>                                        | <code>search_document: Sriracha Distressed Label Graphic T-Shirt, Sriracha, Red</code>                                                                   | <code>search_document: Pho Sho | Funny Vietnamese Cuisine Vietnam Foodie Chef Cook Food Humor T-Shirt-(Adult,M) Sport Grey, Ann Arbor T-shirt Co., Sport Grey</code>                                                    |
* Loss: [<code>CachedMultipleNegativesRankingLoss</code>](https://sbert.net/docs/package_reference/sentence_transformer/losses.html#cachedmultiplenegativesrankingloss) with these parameters:
  ```json
  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  ```

#### pairs

* Dataset: pairs
* Size: 261,250 training samples
* Columns: <code>sentence1</code>, <code>sentence2</code>, and <code>score</code>
* Approximate statistics based on the first 1000 samples:
  |         | sentence1                                                                        | sentence2                                                                          | score                                                          |
  |:--------|:---------------------------------------------------------------------------------|:-----------------------------------------------------------------------------------|:---------------------------------------------------------------|
  | type    | string                                                                           | string                                                                             | float                                                          |
  | details | <ul><li>min: 3 tokens</li><li>mean: 6.73 tokens</li><li>max: 33 tokens</li></ul> | <ul><li>min: 10 tokens</li><li>mean: 40.14 tokens</li><li>max: 98 tokens</li></ul> | <ul><li>min: 0.0</li><li>mean: 0.77</li><li>max: 1.0</li></ul> |
* Samples:
  | sentence1                                                                                                                                                    | sentence2                                                                                                                                                                                                   | score            |
  |:-------------------------------------------------------------------------------------------------------------------------------------------------------------|:------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:-----------------|
  | <code>I would choose a medium weight waterproof  fabric, hip length jacket or longer, long sleeves, zip front, with a hood and deep pockets with zips</code> | <code>ZSHOW Men's Winter Hooded Packable Down Jacket(Blue, XX-Large), ZSHOW, Blue</code>                                                                                                                    | <code>1.0</code> |
  | <code>sequin dance costume girls</code>                                                                                                                      | <code>Yeahdor Big Girls' Lyrical Latin Ballet Dance Costumes Dresses Halter Sequins Irregular Tutu Skirted Leotard Dancewear Pink 12-14, Yeahdor, Pink</code>                                               | <code>1.0</code> |
  | <code>paint easel bulk</code>                                                                                                                                | <code>Artecho Artist Easel Display Easel Stand, 2 Pack Metal Tripod Stand Easel for Painting, Hold Canvas from 21" to 66", Floor and Tabletop Displaying, Painting with Portable Bag, Artecho, Black</code> | <code>1.0</code> |
* Loss: [<code>AnglELoss</code>](https://sbert.net/docs/package_reference/sentence_transformer/losses.html#angleloss) with these parameters:
  ```json
  {
      "scale": 20.0,
      "similarity_fct": "pairwise_angle_sim"
  }
  ```

### Evaluation Datasets

#### triplets

* Dataset: triplets
* Size: 10,000 evaluation samples
* Columns: <code>anchor</code>, <code>positive</code>, and <code>negative</code>
* Approximate statistics based on the first 1000 samples:
  |         | anchor                                                                            | positive                                                                            | negative                                                                           |
  |:--------|:----------------------------------------------------------------------------------|:------------------------------------------------------------------------------------|:-----------------------------------------------------------------------------------|
  | type    | string                                                                            | string                                                                              | string                                                                             |
  | details | <ul><li>min: 7 tokens</li><li>mean: 11.52 tokens</li><li>max: 33 tokens</li></ul> | <ul><li>min: 18 tokens</li><li>mean: 42.45 tokens</li><li>max: 113 tokens</li></ul> | <ul><li>min: 15 tokens</li><li>mean: 42.7 tokens</li><li>max: 116 tokens</li></ul> |
* Samples:
  | anchor                                                                              | positive                                                                                                                                                                                                                      | negative                                                                                                                                                                                                                             |
  |:------------------------------------------------------------------------------------|:------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
  | <code>search_query: non damaging eyelash glue</code>                                | <code>search_document: Professional Eyelash Extension Remover Gel - Quickly And Easily Remove Individual Semi Permanent False Lashes - Works With Even The Strongest Fake Eyelash Glue or Adhesive, BEAU LASHES, Clear</code> | <code>search_document: Premade Volume Eyelash Extensions 4D-D-0.10-14 Long Stem Premade Fans Eyelash Extensions C D Curl Volume Lash Extensions Pre made Lash Fans(4D-D-0.10, 14mm), B&Qaugen, 4D-0.10-D</code>                      |
  | <code>search_query: christmas tablecloths for rectangle tables 60 x 120 gold</code> | <code>search_document: Aquazolax Damask Tablecloth for Rectangle Table 60 x 120 Damask Foliate Pattern Jacquard Heavy Weight Fabric Table Overlay, Gold, Aquazolax, 02 - Gold</code>                                          | <code>search_document: Benson Mills Harmony Scroll Woven Damask Fabric Tablecloth (60" X 104" Rectangular, Gold), Benson Mills, Gold</code>                                                                                          |
  | <code>search_query: #10 standard no tint no window not self seal</code>             | <code>search_document: #10 Security Tinted Self-Seal Envelopes - No Window - EnveGuard, Size 4-1/8 X 9-1/2 Inches - White - 24 LB - 100 Count (34100), Aimoh, White</code>                                                    | <code>search_document: Chalktastic Liquid Chalk Markers for Kids - Set of 8 Washable, Dry Erase Pens for School, Menu Board & Car Window Glass - Neon, Erasable Chalkboard Pen Pack - Gifts for Artists, Chalktastic, Classic</code> |
* Loss: [<code>CachedMultipleNegativesRankingLoss</code>](https://sbert.net/docs/package_reference/sentence_transformer/losses.html#cachedmultiplenegativesrankingloss) with these parameters:
  ```json
  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  ```

#### pairs

* Dataset: pairs
* Size: 10,000 evaluation samples
* Columns: <code>sentence1</code>, <code>sentence2</code>, and <code>score</code>
* Approximate statistics based on the first 1000 samples:
  |         | sentence1                                                                       | sentence2                                                                         | score                                                          |
  |:--------|:--------------------------------------------------------------------------------|:----------------------------------------------------------------------------------|:---------------------------------------------------------------|
  | type    | string                                                                          | string                                                                            | float                                                          |
  | details | <ul><li>min: 3 tokens</li><li>mean: 6.8 tokens</li><li>max: 34 tokens</li></ul> | <ul><li>min: 9 tokens</li><li>mean: 39.7 tokens</li><li>max: 101 tokens</li></ul> | <ul><li>min: 0.0</li><li>mean: 0.73</li><li>max: 1.0</li></ul> |
* Samples:
  | sentence1                                       | sentence2                                                                                                                                                                                     | score            |
  |:------------------------------------------------|:----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:-----------------|
  | <code>outdoor ceiling fans without light</code> | <code>44" Plaza Industrial Indoor Outdoor Ceiling Fan with Remote Control Oil Rubbed Bronze Damp Rated for Patio Porch - Casa Vieja, Casa Vieja, No Light Kit - Bronze</code>                 | <code>1.0</code> |
  | <code>bathroom cabinet</code>                   | <code>Homfa Bathroom Floor Cabinet Free Standing with Single Door Multifunctional Bathroom Storage Organizer Toiletries(Ivory White), Homfa, White</code>                                     | <code>1.0</code> |
  | <code>fitbit charge 3</code>                    | <code>TreasureMax Compatible with Fitbit Charge 2 Bands for Women/Men,Silicone Fadeless Pattern Printed Replacement Floral Bands for Fitbit Charge 2 HR Wristbands, TreasureMax, Paw 2</code> | <code>0.2</code> |
* Loss: [<code>AnglELoss</code>](https://sbert.net/docs/package_reference/sentence_transformer/losses.html#angleloss) with these parameters:
  ```json
  {
      "scale": 20.0,
      "similarity_fct": "pairwise_angle_sim"
  }
  ```

### Training Hyperparameters
#### Non-Default Hyperparameters

- `per_device_train_batch_size`: 4
- `per_device_eval_batch_size`: 4
- `gradient_accumulation_steps`: 4
- `learning_rate`: 1e-05
- `num_train_epochs`: 5
- `lr_scheduler_type`: cosine_with_restarts
- `warmup_ratio`: 0.1
- `dataloader_drop_last`: True
- `dataloader_num_workers`: 4
- `dataloader_prefetch_factor`: 2
- `load_best_model_at_end`: True
- `batch_sampler`: no_duplicates

#### All Hyperparameters
<details><summary>Click to expand</summary>

- `overwrite_output_dir`: False
- `do_predict`: False
- `prediction_loss_only`: True
- `per_device_train_batch_size`: 4
- `per_device_eval_batch_size`: 4
- `per_gpu_train_batch_size`: None
- `per_gpu_eval_batch_size`: None
- `gradient_accumulation_steps`: 4
- `eval_accumulation_steps`: None
- `learning_rate`: 1e-05
- `weight_decay`: 0.0
- `adam_beta1`: 0.9
- `adam_beta2`: 0.999
- `adam_epsilon`: 1e-08
- `max_grad_norm`: 1.0
- `num_train_epochs`: 5
- `max_steps`: -1
- `lr_scheduler_type`: cosine_with_restarts
- `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
- `no_cuda`: False
- `use_cpu`: False
- `use_mps_device`: False
- `seed`: 42
- `data_seed`: None
- `jit_mode_eval`: False
- `use_ipex`: False
- `bf16`: False
- `fp16`: False
- `fp16_opt_level`: O1
- `half_precision_backend`: auto
- `bf16_full_eval`: False
- `fp16_full_eval`: False
- `tf32`: None
- `local_rank`: 0
- `ddp_backend`: None
- `tpu_num_cores`: None
- `tpu_metrics_debug`: False
- `debug`: []
- `dataloader_drop_last`: True
- `dataloader_num_workers`: 4
- `dataloader_prefetch_factor`: 2
- `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}
- `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
- `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
- `batch_sampler`: no_duplicates
- `multi_dataset_batch_sampler`: proportional

</details>

### Training Logs
<details><summary>Click to expand</summary>

| Epoch  | Step  | Training Loss | pairs loss | triplets loss | cosine_accuracy | spearman_cosine |
|:------:|:-----:|:-------------:|:----------:|:-------------:|:---------------:|:---------------:|
| 0.0031 | 100   | 0.9224        | -          | -             | -               | -               |
| 0.0061 | 200   | 0.9823        | -          | -             | -               | -               |
| 0.0092 | 300   | 0.906         | -          | -             | -               | -               |
| 0.0122 | 400   | 0.9692        | -          | -             | -               | -               |
| 0.0153 | 500   | 1.0174        | -          | -             | -               | -               |
| 0.0184 | 600   | 0.9488        | -          | -             | -               | -               |
| 0.0214 | 700   | 0.9094        | -          | -             | -               | -               |
| 0.0245 | 800   | 1.086         | -          | -             | -               | -               |
| 0.0276 | 900   | 0.9104        | -          | -             | -               | -               |
| 0.0306 | 1000  | 0.8288        | 1.3267     | 0.7466        | 0.6776          | 0.3661          |
| 0.0337 | 1100  | 0.9905        | -          | -             | -               | -               |
| 0.0367 | 1200  | 0.9511        | -          | -             | -               | -               |
| 0.0398 | 1300  | 0.894         | -          | -             | -               | -               |
| 0.0429 | 1400  | 0.7935        | -          | -             | -               | -               |
| 0.0459 | 1500  | 0.9212        | -          | -             | -               | -               |
| 0.0490 | 1600  | 0.846         | -          | -             | -               | -               |
| 0.0521 | 1700  | 0.9323        | -          | -             | -               | -               |
| 0.0551 | 1800  | 0.8216        | -          | -             | -               | -               |
| 0.0582 | 1900  | 0.7616        | -          | -             | -               | -               |
| 0.0612 | 2000  | 0.8028        | 1.1716     | 0.6940        | 0.6942          | 0.4072          |
| 0.0643 | 2100  | 0.8196        | -          | -             | -               | -               |
| 0.0674 | 2200  | 0.8022        | -          | -             | -               | -               |
| 0.0704 | 2300  | 0.814         | -          | -             | -               | -               |
| 0.0735 | 2400  | 0.8388        | -          | -             | -               | -               |
| 0.0766 | 2500  | 0.7658        | -          | -             | -               | -               |
| 0.0796 | 2600  | 0.7226        | -          | -             | -               | -               |
| 0.0827 | 2700  | 0.7802        | -          | -             | -               | -               |
| 0.0857 | 2800  | 0.8148        | -          | -             | -               | -               |
| 0.0888 | 2900  | 0.7444        | -          | -             | -               | -               |
| 0.0919 | 3000  | 0.7463        | 1.0475     | 0.6718        | 0.7019          | 0.4410          |
| 0.0949 | 3100  | 0.7129        | -          | -             | -               | -               |
| 0.0980 | 3200  | 0.6884        | -          | -             | -               | -               |
| 0.1011 | 3300  | 0.7072        | -          | -             | -               | -               |
| 0.1041 | 3400  | 0.7956        | -          | -             | -               | -               |
| 0.1072 | 3500  | 0.7932        | -          | -             | -               | -               |
| 0.1102 | 3600  | 0.6843        | -          | -             | -               | -               |
| 0.1133 | 3700  | 0.8722        | -          | -             | -               | -               |
| 0.1164 | 3800  | 0.6767        | -          | -             | -               | -               |
| 0.1194 | 3900  | 0.6905        | -          | -             | -               | -               |
| 0.1225 | 4000  | 0.7022        | 1.0538     | 0.6663        | 0.706           | 0.4501          |
| 0.1256 | 4100  | 0.6574        | -          | -             | -               | -               |
| 0.1286 | 4200  | 0.8011        | -          | -             | -               | -               |
| 0.1317 | 4300  | 0.6902        | -          | -             | -               | -               |
| 0.1347 | 4400  | 0.836         | -          | -             | -               | -               |
| 0.1378 | 4500  | 0.6457        | -          | -             | -               | -               |
| 0.1409 | 4600  | 0.6786        | -          | -             | -               | -               |
| 0.1439 | 4700  | 0.7356        | -          | -             | -               | -               |
| 0.1470 | 4800  | 0.8078        | -          | -             | -               | -               |
| 0.1500 | 4900  | 0.7157        | -          | -             | -               | -               |
| 0.1531 | 5000  | 0.6629        | 1.0507     | 0.6669        | 0.7108          | 0.4493          |
| 0.1562 | 5100  | 0.7387        | -          | -             | -               | -               |
| 0.1592 | 5200  | 0.7108        | -          | -             | -               | -               |
| 0.1623 | 5300  | 0.6361        | -          | -             | -               | -               |
| 0.1654 | 5400  | 0.6931        | -          | -             | -               | -               |
| 0.1684 | 5500  | 0.7409        | -          | -             | -               | -               |
| 0.1715 | 5600  | 0.7645        | -          | -             | -               | -               |
| 0.1745 | 5700  | 0.6577        | -          | -             | -               | -               |
| 0.1776 | 5800  | 0.7284        | -          | -             | -               | -               |
| 0.1807 | 5900  | 0.6774        | -          | -             | -               | -               |
| 0.1837 | 6000  | 0.7187        | 1.0089     | 0.6612        | 0.7112          | 0.4569          |
| 0.1868 | 6100  | 0.6003        | -          | -             | -               | -               |
| 0.1899 | 6200  | 0.7028        | -          | -             | -               | -               |
| 0.1929 | 6300  | 0.7195        | -          | -             | -               | -               |
| 0.1960 | 6400  | 0.6823        | -          | -             | -               | -               |
| 0.1990 | 6500  | 0.6665        | -          | -             | -               | -               |
| 0.2021 | 6600  | 0.6206        | -          | -             | -               | -               |
| 0.2052 | 6700  | 0.6442        | -          | -             | -               | -               |
| 0.2082 | 6800  | 0.7191        | -          | -             | -               | -               |
| 0.2113 | 6900  | 0.6074        | -          | -             | -               | -               |
| 0.2144 | 7000  | 0.6311        | 1.0315     | 0.6657        | 0.7109          | 0.4451          |
| 0.2174 | 7100  | 0.6444        | -          | -             | -               | -               |
| 0.2205 | 7200  | 0.6475        | -          | -             | -               | -               |
| 0.2235 | 7300  | 0.5911        | -          | -             | -               | -               |
| 0.2266 | 7400  | 0.6709        | -          | -             | -               | -               |
| 0.2297 | 7500  | 0.6306        | -          | -             | -               | -               |
| 0.2327 | 7600  | 0.7122        | -          | -             | -               | -               |
| 0.2358 | 7700  | 0.6461        | -          | -             | -               | -               |
| 0.2389 | 7800  | 0.6899        | -          | -             | -               | -               |
| 0.2419 | 7900  | 0.6413        | -          | -             | -               | -               |
| 0.2450 | 8000  | 0.691         | 1.0058     | 0.6705        | 0.7158          | 0.4520          |
| 0.2480 | 8100  | 0.609         | -          | -             | -               | -               |
| 0.2511 | 8200  | 0.6054        | -          | -             | -               | -               |
| 0.2542 | 8300  | 0.61          | -          | -             | -               | -               |
| 0.2572 | 8400  | 0.596         | -          | -             | -               | -               |
| 0.2603 | 8500  | 0.6999        | -          | -             | -               | -               |
| 0.2634 | 8600  | 0.5909        | -          | -             | -               | -               |
| 0.2664 | 8700  | 0.5965        | -          | -             | -               | -               |
| 0.2695 | 8800  | 0.5951        | -          | -             | -               | -               |
| 0.2725 | 8900  | 0.6058        | -          | -             | -               | -               |
| 0.2756 | 9000  | 0.5979        | 1.0287     | 0.6904        | 0.7142          | 0.4628          |
| 0.2787 | 9100  | 0.6249        | -          | -             | -               | -               |
| 0.2817 | 9200  | 0.6261        | -          | -             | -               | -               |
| 0.2848 | 9300  | 0.6365        | -          | -             | -               | -               |
| 0.2878 | 9400  | 0.5699        | -          | -             | -               | -               |
| 0.2909 | 9500  | 0.6675        | -          | -             | -               | -               |
| 0.2940 | 9600  | 0.5806        | -          | -             | -               | -               |
| 0.2970 | 9700  | 0.5832        | -          | -             | -               | -               |
| 0.3001 | 9800  | 0.6135        | -          | -             | -               | -               |
| 0.3032 | 9900  | 0.6005        | -          | -             | -               | -               |
| 0.3062 | 10000 | 0.6079        | 1.0232     | 0.7137        | 0.7163          | 0.4686          |
| 0.3093 | 10100 | 0.6452        | -          | -             | -               | -               |
| 0.3123 | 10200 | 0.5765        | -          | -             | -               | -               |
| 0.3154 | 10300 | 0.619         | -          | -             | -               | -               |
| 0.3185 | 10400 | 0.5154        | -          | -             | -               | -               |
| 0.3215 | 10500 | 0.6142        | -          | -             | -               | -               |
| 0.3246 | 10600 | 0.574         | -          | -             | -               | -               |
| 0.3277 | 10700 | 0.5569        | -          | -             | -               | -               |
| 0.3307 | 10800 | 0.6233        | -          | -             | -               | -               |
| 0.3338 | 10900 | 0.6183        | -          | -             | -               | -               |
| 0.3368 | 11000 | 0.5953        | 1.0279     | 0.7040        | 0.71            | 0.4571          |
| 0.3399 | 11100 | 0.5146        | -          | -             | -               | -               |
| 0.3430 | 11200 | 0.6029        | -          | -             | -               | -               |
| 0.3460 | 11300 | 0.6054        | -          | -             | -               | -               |
| 0.3491 | 11400 | 0.6324        | -          | -             | -               | -               |
| 0.3522 | 11500 | 0.5459        | -          | -             | -               | -               |
| 0.3552 | 11600 | 0.5721        | -          | -             | -               | -               |
| 0.3583 | 11700 | 0.5224        | -          | -             | -               | -               |
| 0.3613 | 11800 | 0.5979        | -          | -             | -               | -               |
| 0.3644 | 11900 | 0.5832        | -          | -             | -               | -               |
| 0.3675 | 12000 | 0.5638        | 1.0372     | 0.7184        | 0.7127          | 0.4475          |
| 0.3705 | 12100 | 0.4945        | -          | -             | -               | -               |
| 0.3736 | 12200 | 0.6368        | -          | -             | -               | -               |
| 0.3767 | 12300 | 0.5071        | -          | -             | -               | -               |
| 0.3797 | 12400 | 0.626         | -          | -             | -               | -               |
| 0.3828 | 12500 | 0.5986        | -          | -             | -               | -               |
| 0.3858 | 12600 | 0.539         | -          | -             | -               | -               |
| 0.3889 | 12700 | 0.5167        | -          | -             | -               | -               |
| 0.3920 | 12800 | 0.657         | -          | -             | -               | -               |
| 0.3950 | 12900 | 0.5264        | -          | -             | -               | -               |
| 0.3981 | 13000 | 0.4996        | 1.0362     | 0.7276        | 0.7162          | 0.4534          |
| 0.4012 | 13100 | 0.4991        | -          | -             | -               | -               |
| 0.4042 | 13200 | 0.5725        | -          | -             | -               | -               |
| 0.4073 | 13300 | 0.5788        | -          | -             | -               | -               |
| 0.4103 | 13400 | 0.5293        | -          | -             | -               | -               |
| 0.4134 | 13500 | 0.5192        | -          | -             | -               | -               |
| 0.4165 | 13600 | 0.5477        | -          | -             | -               | -               |
| 0.4195 | 13700 | 0.5151        | -          | -             | -               | -               |
| 0.4226 | 13800 | 0.5121        | -          | -             | -               | -               |
| 0.4256 | 13900 | 0.6849        | -          | -             | -               | -               |
| 0.4287 | 14000 | 0.5508        | 1.0062     | 0.7397        | 0.7103          | 0.4571          |
| 0.4318 | 14100 | 0.55          | -          | -             | -               | -               |
| 0.4348 | 14200 | 0.5041        | -          | -             | -               | -               |
| 0.4379 | 14300 | 0.5041        | -          | -             | -               | -               |
| 0.4410 | 14400 | 0.5198        | -          | -             | -               | -               |
| 0.4440 | 14500 | 0.5354        | -          | -             | -               | -               |
| 0.4471 | 14600 | 0.5535        | -          | -             | -               | -               |
| 0.4501 | 14700 | 0.5368        | -          | -             | -               | -               |
| 0.4532 | 14800 | 0.5379        | -          | -             | -               | -               |
| 0.4563 | 14900 | 0.47          | -          | -             | -               | -               |
| 0.4593 | 15000 | 0.5567        | 1.0441     | 0.7531        | 0.715           | 0.4516          |
| 0.4624 | 15100 | 0.5157        | -          | -             | -               | -               |
| 0.4655 | 15200 | 0.5698        | -          | -             | -               | -               |
| 0.4685 | 15300 | 0.5436        | -          | -             | -               | -               |
| 0.4716 | 15400 | 0.6344        | -          | -             | -               | -               |
| 0.4746 | 15500 | 0.4351        | -          | -             | -               | -               |
| 0.4777 | 15600 | 0.5286        | -          | -             | -               | -               |
| 0.4808 | 15700 | 0.552         | -          | -             | -               | -               |
| 0.4838 | 15800 | 0.508         | -          | -             | -               | -               |
| 0.4869 | 15900 | 0.5111        | -          | -             | -               | -               |
| 0.4900 | 16000 | 0.5411        | 1.0264     | 0.7570        | 0.7106          | 0.4506          |
| 0.4930 | 16100 | 0.5363        | -          | -             | -               | -               |
| 0.4961 | 16200 | 0.5259        | -          | -             | -               | -               |
| 0.4991 | 16300 | 0.5722        | -          | -             | -               | -               |
| 0.5022 | 16400 | 0.5059        | -          | -             | -               | -               |
| 0.5053 | 16500 | 0.5194        | -          | -             | -               | -               |
| 0.5083 | 16600 | 0.5099        | -          | -             | -               | -               |
| 0.5114 | 16700 | 0.4857        | -          | -             | -               | -               |
| 0.5145 | 16800 | 0.4585        | -          | -             | -               | -               |
| 0.5175 | 16900 | 0.5366        | -          | -             | -               | -               |
| 0.5206 | 17000 | 0.4825        | 1.0299     | 0.7740        | 0.7048          | 0.4504          |
| 0.5236 | 17100 | 0.543         | -          | -             | -               | -               |
| 0.5267 | 17200 | 0.5022        | -          | -             | -               | -               |
| 0.5298 | 17300 | 0.4399        | -          | -             | -               | -               |
| 0.5328 | 17400 | 0.5342        | -          | -             | -               | -               |
| 0.5359 | 17500 | 0.5064        | -          | -             | -               | -               |
| 0.5390 | 17600 | 0.5978        | -          | -             | -               | -               |
| 0.5420 | 17700 | 0.4947        | -          | -             | -               | -               |
| 0.5451 | 17800 | 0.4974        | -          | -             | -               | -               |
| 0.5481 | 17900 | 0.5555        | -          | -             | -               | -               |
| 0.5512 | 18000 | 0.5397        | 1.0885     | 0.7564        | 0.7143          | 0.4493          |
| 0.5543 | 18100 | 0.4415        | -          | -             | -               | -               |
| 0.5573 | 18200 | 0.3887        | -          | -             | -               | -               |
| 0.5604 | 18300 | 0.4956        | -          | -             | -               | -               |
| 0.5634 | 18400 | 0.471         | -          | -             | -               | -               |
| 0.5665 | 18500 | 0.4671        | -          | -             | -               | -               |
| 0.5696 | 18600 | 0.4279        | -          | -             | -               | -               |
| 0.5726 | 18700 | 0.5509        | -          | -             | -               | -               |
| 0.5757 | 18800 | 0.5135        | -          | -             | -               | -               |
| 0.5788 | 18900 | 0.595         | -          | -             | -               | -               |
| 0.5818 | 19000 | 0.4531        | 1.0569     | 0.7628        | 0.708           | 0.4528          |
| 0.5849 | 19100 | 0.4926        | -          | -             | -               | -               |
| 0.5879 | 19200 | 0.5718        | -          | -             | -               | -               |
| 0.5910 | 19300 | 0.4963        | -          | -             | -               | -               |
| 0.5941 | 19400 | 0.5222        | -          | -             | -               | -               |
| 0.5971 | 19500 | 0.4079        | -          | -             | -               | -               |
| 0.6002 | 19600 | 0.4662        | -          | -             | -               | -               |
| 0.6033 | 19700 | 0.4838        | -          | -             | -               | -               |
| 0.6063 | 19800 | 0.5238        | -          | -             | -               | -               |
| 0.6094 | 19900 | 0.5475        | -          | -             | -               | -               |
| 0.6124 | 20000 | 0.4           | 1.0716     | 0.7965        | 0.709           | 0.4691          |
| 0.6155 | 20100 | 0.5323        | -          | -             | -               | -               |
| 0.6186 | 20200 | 0.4544        | -          | -             | -               | -               |
| 0.6216 | 20300 | 0.4556        | -          | -             | -               | -               |
| 0.6247 | 20400 | 0.5716        | -          | -             | -               | -               |
| 0.6278 | 20500 | 0.5538        | -          | -             | -               | -               |
| 0.6308 | 20600 | 0.4546        | -          | -             | -               | -               |
| 0.6339 | 20700 | 0.4146        | -          | -             | -               | -               |
| 0.6369 | 20800 | 0.4811        | -          | -             | -               | -               |
| 0.6400 | 20900 | 0.4577        | -          | -             | -               | -               |
| 0.6431 | 21000 | 0.4901        | 1.0721     | 0.7903        | 0.7084          | 0.4594          |
| 0.6461 | 21100 | 0.4999        | -          | -             | -               | -               |
| 0.6492 | 21200 | 0.3999        | -          | -             | -               | -               |
| 0.6523 | 21300 | 0.4587        | -          | -             | -               | -               |
| 0.6553 | 21400 | 0.4737        | -          | -             | -               | -               |
| 0.6584 | 21500 | 0.4913        | -          | -             | -               | -               |
| 0.6614 | 21600 | 0.4612        | -          | -             | -               | -               |
| 0.6645 | 21700 | 0.432         | -          | -             | -               | -               |
| 0.6676 | 21800 | 0.4627        | -          | -             | -               | -               |
| 0.6706 | 21900 | 0.5023        | -          | -             | -               | -               |
| 0.6737 | 22000 | 0.4486        | 1.0888     | 0.7913        | 0.7056          | 0.4618          |
| 0.6768 | 22100 | 0.5068        | -          | -             | -               | -               |
| 0.6798 | 22200 | 0.4843        | -          | -             | -               | -               |
| 0.6829 | 22300 | 0.4687        | -          | -             | -               | -               |
| 0.6859 | 22400 | 0.5123        | -          | -             | -               | -               |
| 0.6890 | 22500 | 0.3802        | -          | -             | -               | -               |
| 0.6921 | 22600 | 0.4883        | -          | -             | -               | -               |
| 0.6951 | 22700 | 0.5069        | -          | -             | -               | -               |
| 0.6982 | 22800 | 0.4859        | -          | -             | -               | -               |
| 0.7012 | 22900 | 0.3931        | -          | -             | -               | -               |
| 0.7043 | 23000 | 0.4675        | 1.1026     | 0.8213        | 0.7051          | 0.4513          |
| 0.7074 | 23100 | 0.4948        | -          | -             | -               | -               |
| 0.7104 | 23200 | 0.4561        | -          | -             | -               | -               |
| 0.7135 | 23300 | 0.3874        | -          | -             | -               | -               |
| 0.7166 | 23400 | 0.4909        | -          | -             | -               | -               |
| 0.7196 | 23500 | 0.521         | -          | -             | -               | -               |
| 0.7227 | 23600 | 0.4997        | -          | -             | -               | -               |
| 0.7257 | 23700 | 0.4104        | -          | -             | -               | -               |
| 0.7288 | 23800 | 0.4801        | -          | -             | -               | -               |
| 0.7319 | 23900 | 0.5237        | -          | -             | -               | -               |
| 0.7349 | 24000 | 0.3782        | 1.0715     | 0.7962        | 0.7098          | 0.4583          |
| 0.7380 | 24100 | 0.493         | -          | -             | -               | -               |
| 0.7411 | 24200 | 0.489         | -          | -             | -               | -               |
| 0.7441 | 24300 | 0.4797        | -          | -             | -               | -               |
| 0.7472 | 24400 | 0.4636        | -          | -             | -               | -               |
| 0.7502 | 24500 | 0.406         | -          | -             | -               | -               |
| 0.7533 | 24600 | 0.3765        | -          | -             | -               | -               |
| 0.7564 | 24700 | 0.4746        | -          | -             | -               | -               |
| 0.7594 | 24800 | 0.447         | -          | -             | -               | -               |
| 0.7625 | 24900 | 0.5286        | -          | -             | -               | -               |
| 0.7656 | 25000 | 0.4814        | 1.0794     | 0.7977        | 0.7134          | 0.4614          |
| 0.7686 | 25100 | 0.505         | -          | -             | -               | -               |
| 0.7717 | 25200 | 0.4508        | -          | -             | -               | -               |
| 0.7747 | 25300 | 0.4317        | -          | -             | -               | -               |
| 0.7778 | 25400 | 0.5088        | -          | -             | -               | -               |
| 0.7809 | 25500 | 0.3931        | -          | -             | -               | -               |
| 0.7839 | 25600 | 0.4516        | -          | -             | -               | -               |
| 0.7870 | 25700 | 0.4394        | -          | -             | -               | -               |
| 0.7901 | 25800 | 0.4825        | -          | -             | -               | -               |
| 0.7931 | 25900 | 0.4248        | -          | -             | -               | -               |
| 0.7962 | 26000 | 0.4215        | 1.0887     | 0.8159        | 0.7065          | 0.4719          |
| 0.7992 | 26100 | 0.4674        | -          | -             | -               | -               |
| 0.8023 | 26200 | 0.4634        | -          | -             | -               | -               |
| 0.8054 | 26300 | 0.3975        | -          | -             | -               | -               |
| 0.8084 | 26400 | 0.402         | -          | -             | -               | -               |
| 0.8115 | 26500 | 0.4652        | -          | -             | -               | -               |
| 0.8146 | 26600 | 0.487         | -          | -             | -               | -               |
| 0.8176 | 26700 | 0.4677        | -          | -             | -               | -               |
| 0.8207 | 26800 | 0.4662        | -          | -             | -               | -               |
| 0.8237 | 26900 | 0.4658        | -          | -             | -               | -               |
| 0.8268 | 27000 | 0.4922        | 1.0792     | 0.8019        | 0.7126          | 0.4544          |
| 0.8299 | 27100 | 0.4551        | -          | -             | -               | -               |
| 0.8329 | 27200 | 0.4052        | -          | -             | -               | -               |
| 0.8360 | 27300 | 0.3713        | -          | -             | -               | -               |
| 0.8390 | 27400 | 0.4247        | -          | -             | -               | -               |
| 0.8421 | 27500 | 0.4167        | -          | -             | -               | -               |
| 0.8452 | 27600 | 0.4035        | -          | -             | -               | -               |
| 0.8482 | 27700 | 0.5203        | -          | -             | -               | -               |
| 0.8513 | 27800 | 0.4768        | -          | -             | -               | -               |
| 0.8544 | 27900 | 0.4085        | -          | -             | -               | -               |
| 0.8574 | 28000 | 0.3793        | 1.0920     | 0.7942        | 0.7146          | 0.4630          |
| 0.8605 | 28100 | 0.4188        | -          | -             | -               | -               |
| 0.8635 | 28200 | 0.4492        | -          | -             | -               | -               |
| 0.8666 | 28300 | 0.4534        | -          | -             | -               | -               |
| 0.8697 | 28400 | 0.4188        | -          | -             | -               | -               |
| 0.8727 | 28500 | 0.5298        | -          | -             | -               | -               |
| 0.8758 | 28600 | 0.4907        | -          | -             | -               | -               |
| 0.8789 | 28700 | 0.4415        | -          | -             | -               | -               |
| 0.8819 | 28800 | 0.4436        | -          | -             | -               | -               |
| 0.8850 | 28900 | 0.4105        | -          | -             | -               | -               |
| 0.8880 | 29000 | 0.5498        | 1.0937     | 0.8023        | 0.7127          | 0.4492          |
| 0.8911 | 29100 | 0.4478        | -          | -             | -               | -               |
| 0.8942 | 29200 | 0.4467        | -          | -             | -               | -               |
| 0.8972 | 29300 | 0.3691        | -          | -             | -               | -               |
| 0.9003 | 29400 | 0.358         | -          | -             | -               | -               |
| 0.9034 | 29500 | 0.4101        | -          | -             | -               | -               |
| 0.9064 | 29600 | 0.4568        | -          | -             | -               | -               |
| 0.9095 | 29700 | 0.4776        | -          | -             | -               | -               |
| 0.9125 | 29800 | 0.3909        | -          | -             | -               | -               |
| 0.9156 | 29900 | 0.4731        | -          | -             | -               | -               |
| 0.9187 | 30000 | 0.4407        | 1.1511     | 0.8187        | 0.7131          | 0.4423          |
| 0.9217 | 30100 | 0.5712        | -          | -             | -               | -               |
| 0.9248 | 30200 | 0.457         | -          | -             | -               | -               |
| 0.9279 | 30300 | 0.4141        | -          | -             | -               | -               |
| 0.9309 | 30400 | 0.4779        | -          | -             | -               | -               |
| 0.9340 | 30500 | 0.418         | -          | -             | -               | -               |
| 0.9370 | 30600 | 0.4377        | -          | -             | -               | -               |
| 0.9401 | 30700 | 0.3997        | -          | -             | -               | -               |
| 0.9432 | 30800 | 0.3443        | -          | -             | -               | -               |
| 0.9462 | 30900 | 0.5006        | -          | -             | -               | -               |
| 0.9493 | 31000 | 0.4728        | 1.1302     | 0.8141        | 0.7137          | 0.4555          |
| 0.9524 | 31100 | 0.5103        | -          | -             | -               | -               |
| 0.9554 | 31200 | 0.3898        | -          | -             | -               | -               |
| 0.9585 | 31300 | 0.4132        | -          | -             | -               | -               |
| 0.9615 | 31400 | 0.4567        | -          | -             | -               | -               |
| 0.9646 | 31500 | 0.4226        | -          | -             | -               | -               |
| 0.9677 | 31600 | 0.3669        | -          | -             | -               | -               |
| 0.9707 | 31700 | 0.4707        | -          | -             | -               | -               |
| 0.9738 | 31800 | 0.5012        | -          | -             | -               | -               |
| 0.9768 | 31900 | 0.4114        | -          | -             | -               | -               |
| 0.9799 | 32000 | 0.3666        | 1.1309     | 0.8225        | 0.7102          | 0.4632          |
| 0.9830 | 32100 | 0.4514        | -          | -             | -               | -               |
| 0.9860 | 32200 | 0.4329        | -          | -             | -               | -               |
| 0.9891 | 32300 | 0.4559        | -          | -             | -               | -               |
| 0.9922 | 32400 | 0.412         | -          | -             | -               | -               |
| 0.9952 | 32500 | 0.3883        | -          | -             | -               | -               |
| 0.9983 | 32600 | 0.3854        | -          | -             | -               | -               |
| 1.0013 | 32700 | 0.3886        | -          | -             | -               | -               |
| 1.0044 | 32800 | 0.41          | -          | -             | -               | -               |
| 1.0075 | 32900 | 0.4494        | -          | -             | -               | -               |
| 1.0105 | 33000 | 0.4862        | 1.1124     | 0.8362        | 0.7079          | 0.4494          |
| 1.0136 | 33100 | 0.3951        | -          | -             | -               | -               |
| 1.0167 | 33200 | 0.4714        | -          | -             | -               | -               |
| 1.0197 | 33300 | 0.4037        | -          | -             | -               | -               |
| 1.0228 | 33400 | 0.4534        | -          | -             | -               | -               |
| 1.0258 | 33500 | 0.5265        | -          | -             | -               | -               |
| 1.0289 | 33600 | 0.4432        | -          | -             | -               | -               |
| 1.0320 | 33700 | 0.3665        | -          | -             | -               | -               |
| 1.0350 | 33800 | 0.4235        | -          | -             | -               | -               |
| 1.0381 | 33900 | 0.3905        | -          | -             | -               | -               |
| 1.0412 | 34000 | 0.3532        | 1.1693     | 0.8203        | 0.7142          | 0.4420          |
| 1.0442 | 34100 | 0.3472        | -          | -             | -               | -               |
| 1.0473 | 34200 | 0.4316        | -          | -             | -               | -               |
| 1.0503 | 34300 | 0.3811        | -          | -             | -               | -               |
| 1.0534 | 34400 | 0.4753        | -          | -             | -               | -               |
| 1.0565 | 34500 | 0.3757        | -          | -             | -               | -               |
| 1.0595 | 34600 | 0.417         | -          | -             | -               | -               |
| 1.0626 | 34700 | 0.3727        | -          | -             | -               | -               |
| 1.0657 | 34800 | 0.4127        | -          | -             | -               | -               |
| 1.0687 | 34900 | 0.4487        | -          | -             | -               | -               |
| 1.0718 | 35000 | 0.3786        | 1.1073     | 0.8310        | 0.7159          | 0.4678          |
| 1.0748 | 35100 | 0.4043        | -          | -             | -               | -               |
| 1.0779 | 35200 | 0.4226        | -          | -             | -               | -               |
| 1.0810 | 35300 | 0.3585        | -          | -             | -               | -               |
| 1.0840 | 35400 | 0.407         | -          | -             | -               | -               |
| 1.0871 | 35500 | 0.4682        | -          | -             | -               | -               |
| 1.0902 | 35600 | 0.3273        | -          | -             | -               | -               |
| 1.0932 | 35700 | 0.3594        | -          | -             | -               | -               |
| 1.0963 | 35800 | 0.3795        | -          | -             | -               | -               |
| 1.0993 | 35900 | 0.3633        | -          | -             | -               | -               |
| 1.1024 | 36000 | 0.3729        | 1.1356     | 0.8248        | 0.7169          | 0.4525          |
| 1.1055 | 36100 | 0.4179        | -          | -             | -               | -               |
| 1.1085 | 36200 | 0.3907        | -          | -             | -               | -               |
| 1.1116 | 36300 | 0.4495        | -          | -             | -               | -               |
| 1.1146 | 36400 | 0.4093        | -          | -             | -               | -               |
| 1.1177 | 36500 | 0.327         | -          | -             | -               | -               |
| 1.1208 | 36600 | 0.2868        | -          | -             | -               | -               |
| 1.1238 | 36700 | 0.2917        | -          | -             | -               | -               |
| 1.1269 | 36800 | 0.3753        | -          | -             | -               | -               |
| 1.1300 | 36900 | 0.3508        | -          | -             | -               | -               |
| 1.1330 | 37000 | 0.4483        | 1.1865     | 0.8488        | 0.7035          | 0.4559          |
| 1.1361 | 37100 | 0.4439        | -          | -             | -               | -               |
| 1.1391 | 37200 | 0.3225        | -          | -             | -               | -               |
| 1.1422 | 37300 | 0.401         | -          | -             | -               | -               |
| 1.1453 | 37400 | 0.3858        | -          | -             | -               | -               |
| 1.1483 | 37500 | 0.4877        | -          | -             | -               | -               |
| 1.1514 | 37600 | 0.3456        | -          | -             | -               | -               |
| 1.1545 | 37700 | 0.3827        | -          | -             | -               | -               |
| 1.1575 | 37800 | 0.4412        | -          | -             | -               | -               |
| 1.1606 | 37900 | 0.3679        | -          | -             | -               | -               |
| 1.1636 | 38000 | 0.3465        | 1.1654     | 0.8383        | 0.7095          | 0.4498          |
| 1.1667 | 38100 | 0.3433        | -          | -             | -               | -               |
| 1.1698 | 38200 | 0.3745        | -          | -             | -               | -               |
| 1.1728 | 38300 | 0.3902        | -          | -             | -               | -               |
| 1.1759 | 38400 | 0.2779        | -          | -             | -               | -               |
| 1.1790 | 38500 | 0.3916        | -          | -             | -               | -               |
| 1.1820 | 38600 | 0.346         | -          | -             | -               | -               |
| 1.1851 | 38700 | 0.3742        | -          | -             | -               | -               |
| 1.1881 | 38800 | 0.3424        | -          | -             | -               | -               |
| 1.1912 | 38900 | 0.4042        | -          | -             | -               | -               |
| 1.1943 | 39000 | 0.2993        | 1.2051     | 0.8313        | 0.7106          | 0.4571          |
| 1.1973 | 39100 | 0.3167        | -          | -             | -               | -               |
| 1.2004 | 39200 | 0.3291        | -          | -             | -               | -               |
| 1.2035 | 39300 | 0.245         | -          | -             | -               | -               |
| 1.2065 | 39400 | 0.3289        | -          | -             | -               | -               |
| 1.2096 | 39500 | 0.3969        | -          | -             | -               | -               |
| 1.2126 | 39600 | 0.2511        | -          | -             | -               | -               |
| 1.2157 | 39700 | 0.2972        | -          | -             | -               | -               |
| 1.2188 | 39800 | 0.3434        | -          | -             | -               | -               |
| 1.2218 | 39900 | 0.324         | -          | -             | -               | -               |
| 1.2249 | 40000 | 0.2837        | 1.2372     | 0.8453        | 0.7121          | 0.4562          |
| 1.2280 | 40100 | 0.2727        | -          | -             | -               | -               |
| 1.2310 | 40200 | 0.3327        | -          | -             | -               | -               |
| 1.2341 | 40300 | 0.3468        | -          | -             | -               | -               |
| 1.2371 | 40400 | 0.3029        | -          | -             | -               | -               |
| 1.2402 | 40500 | 0.3583        | -          | -             | -               | -               |
| 1.2433 | 40600 | 0.3664        | -          | -             | -               | -               |
| 1.2463 | 40700 | 0.2661        | -          | -             | -               | -               |
| 1.2494 | 40800 | 0.2768        | -          | -             | -               | -               |
| 1.2524 | 40900 | 0.3065        | -          | -             | -               | -               |
| 1.2555 | 41000 | 0.309         | 1.2609     | 0.8644        | 0.704           | 0.4467          |
| 1.2586 | 41100 | 0.377         | -          | -             | -               | -               |
| 1.2616 | 41200 | 0.3031        | -          | -             | -               | -               |
| 1.2647 | 41300 | 0.2317        | -          | -             | -               | -               |
| 1.2678 | 41400 | 0.2504        | -          | -             | -               | -               |
| 1.2708 | 41500 | 0.2546        | -          | -             | -               | -               |
| 1.2739 | 41600 | 0.2859        | -          | -             | -               | -               |
| 1.2769 | 41700 | 0.3507        | -          | -             | -               | -               |
| 1.2800 | 41800 | 0.2578        | -          | -             | -               | -               |
| 1.2831 | 41900 | 0.297         | -          | -             | -               | -               |
| 1.2861 | 42000 | 0.3016        | 1.2546     | 0.8479        | 0.7115          | 0.4578          |
| 1.2892 | 42100 | 0.2067        | -          | -             | -               | -               |
| 1.2923 | 42200 | 0.3729        | -          | -             | -               | -               |
| 1.2953 | 42300 | 0.2365        | -          | -             | -               | -               |
| 1.2984 | 42400 | 0.2855        | -          | -             | -               | -               |
| 1.3014 | 42500 | 0.2272        | -          | -             | -               | -               |
| 1.3045 | 42600 | 0.2688        | -          | -             | -               | -               |
| 1.3076 | 42700 | 0.2285        | -          | -             | -               | -               |
| 1.3106 | 42800 | 0.2615        | -          | -             | -               | -               |
| 1.3137 | 42900 | 0.2599        | -          | -             | -               | -               |
| 1.3168 | 43000 | 0.2968        | 1.2860     | 0.8800        | 0.7071          | 0.4599          |
| 1.3198 | 43100 | 0.2464        | -          | -             | -               | -               |
| 1.3229 | 43200 | 0.2673        | -          | -             | -               | -               |
| 1.3259 | 43300 | 0.2108        | -          | -             | -               | -               |
| 1.3290 | 43400 | 0.2353        | -          | -             | -               | -               |
| 1.3321 | 43500 | 0.2396        | -          | -             | -               | -               |
| 1.3351 | 43600 | 0.237         | -          | -             | -               | -               |
| 1.3382 | 43700 | 0.2083        | -          | -             | -               | -               |
| 1.3413 | 43800 | 0.2638        | -          | -             | -               | -               |
| 1.3443 | 43900 | 0.2888        | -          | -             | -               | -               |
| 1.3474 | 44000 | 0.3166        | 1.2710     | 0.8729        | 0.7052          | 0.4501          |
| 1.3504 | 44100 | 0.1949        | -          | -             | -               | -               |
| 1.3535 | 44200 | 0.2285        | -          | -             | -               | -               |
| 1.3566 | 44300 | 0.1923        | -          | -             | -               | -               |
| 1.3596 | 44400 | 0.1875        | -          | -             | -               | -               |
| 1.3627 | 44500 | 0.2736        | -          | -             | -               | -               |
| 1.3658 | 44600 | 0.2154        | -          | -             | -               | -               |
| 1.3688 | 44700 | 0.1975        | -          | -             | -               | -               |
| 1.3719 | 44800 | 0.1799        | -          | -             | -               | -               |
| 1.3749 | 44900 | 0.2417        | -          | -             | -               | -               |
| 1.3780 | 45000 | 0.3224        | 1.3032     | 0.8788        | 0.7072          | 0.4521          |
| 1.3811 | 45100 | 0.2433        | -          | -             | -               | -               |
| 1.3841 | 45200 | 0.269         | -          | -             | -               | -               |
| 1.3872 | 45300 | 0.2034        | -          | -             | -               | -               |
| 1.3902 | 45400 | 0.236         | -          | -             | -               | -               |
| 1.3933 | 45500 | 0.2599        | -          | -             | -               | -               |
| 1.3964 | 45600 | 0.1798        | -          | -             | -               | -               |
| 1.3994 | 45700 | 0.1412        | -          | -             | -               | -               |
| 1.4025 | 45800 | 0.215         | -          | -             | -               | -               |
| 1.4056 | 45900 | 0.2081        | -          | -             | -               | -               |
| 1.4086 | 46000 | 0.2277        | 1.2555     | 0.8621        | 0.7075          | 0.4577          |
| 1.4117 | 46100 | 0.2005        | -          | -             | -               | -               |
| 1.4147 | 46200 | 0.2051        | -          | -             | -               | -               |
| 1.4178 | 46300 | 0.1588        | -          | -             | -               | -               |
| 1.4209 | 46400 | 0.2318        | -          | -             | -               | -               |
| 1.4239 | 46500 | 0.205         | -          | -             | -               | -               |
| 1.4270 | 46600 | 0.2404        | -          | -             | -               | -               |
| 1.4301 | 46700 | 0.2167        | -          | -             | -               | -               |
| 1.4331 | 46800 | 0.1729        | -          | -             | -               | -               |
| 1.4362 | 46900 | 0.1866        | -          | -             | -               | -               |
| 1.4392 | 47000 | 0.2168        | 1.3006     | 0.8624        | 0.7094          | 0.4562          |
| 1.4423 | 47100 | 0.1615        | -          | -             | -               | -               |
| 1.4454 | 47200 | 0.2104        | -          | -             | -               | -               |
| 1.4484 | 47300 | 0.2051        | -          | -             | -               | -               |
| 1.4515 | 47400 | 0.1904        | -          | -             | -               | -               |
| 1.4546 | 47500 | 0.1773        | -          | -             | -               | -               |
| 1.4576 | 47600 | 0.1494        | -          | -             | -               | -               |
| 1.4607 | 47700 | 0.1668        | -          | -             | -               | -               |
| 1.4637 | 47800 | 0.1527        | -          | -             | -               | -               |
| 1.4668 | 47900 | 0.1724        | -          | -             | -               | -               |
| 1.4699 | 48000 | 0.1707        | 1.3098     | 0.8911        | 0.7093          | 0.4421          |
| 1.4729 | 48100 | 0.2147        | -          | -             | -               | -               |
| 1.4760 | 48200 | 0.1513        | -          | -             | -               | -               |
| 1.4791 | 48300 | 0.2049        | -          | -             | -               | -               |
| 1.4821 | 48400 | 0.171         | -          | -             | -               | -               |
| 1.4852 | 48500 | 0.1283        | -          | -             | -               | -               |
| 1.4882 | 48600 | 0.1768        | -          | -             | -               | -               |
| 1.4913 | 48700 | 0.172         | -          | -             | -               | -               |
| 1.4944 | 48800 | 0.2131        | -          | -             | -               | -               |
| 1.4974 | 48900 | 0.1621        | -          | -             | -               | -               |
| 1.5005 | 49000 | 0.1941        | 1.3623     | 0.8859        | 0.7091          | 0.4501          |
| 1.5036 | 49100 | 0.1493        | -          | -             | -               | -               |
| 1.5066 | 49200 | 0.1544        | -          | -             | -               | -               |
| 1.5097 | 49300 | 0.1524        | -          | -             | -               | -               |
| 1.5127 | 49400 | 0.1137        | -          | -             | -               | -               |
| 1.5158 | 49500 | 0.1611        | -          | -             | -               | -               |
| 1.5189 | 49600 | 0.1396        | -          | -             | -               | -               |
| 1.5219 | 49700 | 0.1462        | -          | -             | -               | -               |
| 1.5250 | 49800 | 0.1261        | -          | -             | -               | -               |
| 1.5280 | 49900 | 0.122         | -          | -             | -               | -               |
| 1.5311 | 50000 | 0.1478        | 1.3027     | 0.8766        | 0.7093          | 0.4555          |
| 1.5342 | 50100 | 0.1324        | -          | -             | -               | -               |
| 1.5372 | 50200 | 0.1468        | -          | -             | -               | -               |
| 1.5403 | 50300 | 0.1795        | -          | -             | -               | -               |
| 1.5434 | 50400 | 0.1308        | -          | -             | -               | -               |
| 1.5464 | 50500 | 0.1796        | -          | -             | -               | -               |
| 1.5495 | 50600 | 0.2207        | -          | -             | -               | -               |
| 1.5525 | 50700 | 0.1383        | -          | -             | -               | -               |
| 1.5556 | 50800 | 0.0884        | -          | -             | -               | -               |
| 1.5587 | 50900 | 0.1208        | -          | -             | -               | -               |
| 1.5617 | 51000 | 0.1139        | 1.4073     | 0.9156        | 0.7061          | 0.4502          |
| 1.5648 | 51100 | 0.169         | -          | -             | -               | -               |
| 1.5679 | 51200 | 0.1142        | -          | -             | -               | -               |
| 1.5709 | 51300 | 0.1269        | -          | -             | -               | -               |
| 1.5740 | 51400 | 0.1664        | -          | -             | -               | -               |
| 1.5770 | 51500 | 0.1191        | -          | -             | -               | -               |
| 1.5801 | 51600 | 0.2078        | -          | -             | -               | -               |
| 1.5832 | 51700 | 0.1045        | -          | -             | -               | -               |
| 1.5862 | 51800 | 0.1564        | -          | -             | -               | -               |
| 1.5893 | 51900 | 0.219         | -          | -             | -               | -               |
| 1.5924 | 52000 | 0.1308        | 1.3284     | 0.9085        | 0.7003          | 0.4439          |
| 1.5954 | 52100 | 0.1002        | -          | -             | -               | -               |
| 1.5985 | 52200 | 0.1133        | -          | -             | -               | -               |
| 1.6015 | 52300 | 0.1612        | -          | -             | -               | -               |
| 1.6046 | 52400 | 0.1216        | -          | -             | -               | -               |
| 1.6077 | 52500 | 0.1767        | -          | -             | -               | -               |
| 1.6107 | 52600 | 0.1198        | -          | -             | -               | -               |
| 1.6138 | 52700 | 0.1426        | -          | -             | -               | -               |
| 1.6169 | 52800 | 0.1505        | -          | -             | -               | -               |
| 1.6199 | 52900 | 0.1503        | -          | -             | -               | -               |
| 1.6230 | 53000 | 0.161         | 1.3557     | 0.9038        | 0.7073          | 0.4517          |
| 1.6260 | 53100 | 0.1799        | -          | -             | -               | -               |
| 1.6291 | 53200 | 0.1794        | -          | -             | -               | -               |
| 1.6322 | 53300 | 0.1527        | -          | -             | -               | -               |
| 1.6352 | 53400 | 0.1093        | -          | -             | -               | -               |
| 1.6383 | 53500 | 0.1338        | -          | -             | -               | -               |
| 1.6414 | 53600 | 0.1515        | -          | -             | -               | -               |
| 1.6444 | 53700 | 0.1415        | -          | -             | -               | -               |
| 1.6475 | 53800 | 0.1083        | -          | -             | -               | -               |
| 1.6505 | 53900 | 0.0896        | -          | -             | -               | -               |
| 1.6536 | 54000 | 0.1524        | 1.4412     | 0.9069        | 0.7047          | 0.4428          |
| 1.6567 | 54100 | 0.1153        | -          | -             | -               | -               |
| 1.6597 | 54200 | 0.1643        | -          | -             | -               | -               |
| 1.6628 | 54300 | 0.0891        | -          | -             | -               | -               |
| 1.6659 | 54400 | 0.1331        | -          | -             | -               | -               |
| 1.6689 | 54500 | 0.14          | -          | -             | -               | -               |
| 1.6720 | 54600 | 0.2027        | -          | -             | -               | -               |
| 1.6750 | 54700 | 0.112         | -          | -             | -               | -               |
| 1.6781 | 54800 | 0.1932        | -          | -             | -               | -               |
| 1.6812 | 54900 | 0.1298        | -          | -             | -               | -               |
| 1.6842 | 55000 | 0.1509        | 1.3844     | 0.8949        | 0.7094          | 0.4458          |
| 1.6873 | 55100 | 0.113         | -          | -             | -               | -               |
| 1.6903 | 55200 | 0.1516        | -          | -             | -               | -               |
| 1.6934 | 55300 | 0.1523        | -          | -             | -               | -               |
| 1.6965 | 55400 | 0.1627        | -          | -             | -               | -               |
| 1.6995 | 55500 | 0.1142        | -          | -             | -               | -               |
| 1.7026 | 55600 | 0.1054        | -          | -             | -               | -               |
| 1.7057 | 55700 | 0.1438        | -          | -             | -               | -               |
| 1.7087 | 55800 | 0.0908        | -          | -             | -               | -               |
| 1.7118 | 55900 | 0.1311        | -          | -             | -               | -               |
| 1.7148 | 56000 | 0.0691        | 1.4079     | 0.9229        | 0.7051          | 0.4484          |
| 1.7179 | 56100 | 0.1617        | -          | -             | -               | -               |
| 1.7210 | 56200 | 0.1709        | -          | -             | -               | -               |
| 1.7240 | 56300 | 0.102         | -          | -             | -               | -               |
| 1.7271 | 56400 | 0.1384        | -          | -             | -               | -               |
| 1.7302 | 56500 | 0.1339        | -          | -             | -               | -               |
| 1.7332 | 56600 | 0.1961        | -          | -             | -               | -               |
| 1.7363 | 56700 | 0.1549        | -          | -             | -               | -               |
| 1.7393 | 56800 | 0.1545        | -          | -             | -               | -               |
| 1.7424 | 56900 | 0.1175        | -          | -             | -               | -               |
| 1.7455 | 57000 | 0.1447        | 1.4055     | 0.9385        | 0.7006          | 0.4433          |
| 1.7485 | 57100 | 0.1392        | -          | -             | -               | -               |
| 1.7516 | 57200 | 0.0765        | -          | -             | -               | -               |
| 1.7547 | 57300 | 0.1444        | -          | -             | -               | -               |
| 1.7577 | 57400 | 0.1617        | -          | -             | -               | -               |
| 1.7608 | 57500 | 0.164         | -          | -             | -               | -               |
| 1.7638 | 57600 | 0.1584        | -          | -             | -               | -               |
| 1.7669 | 57700 | 0.1613        | -          | -             | -               | -               |
| 1.7700 | 57800 | 0.1381        | -          | -             | -               | -               |
| 1.7730 | 57900 | 0.132         | -          | -             | -               | -               |
| 1.7761 | 58000 | 0.1373        | 1.4008     | 0.9141        | 0.7088          | 0.4456          |
| 1.7792 | 58100 | 0.1018        | -          | -             | -               | -               |
| 1.7822 | 58200 | 0.0882        | -          | -             | -               | -               |
| 1.7853 | 58300 | 0.1232        | -          | -             | -               | -               |
| 1.7883 | 58400 | 0.1111        | -          | -             | -               | -               |
| 1.7914 | 58500 | 0.0985        | -          | -             | -               | -               |
| 1.7945 | 58600 | 0.1063        | -          | -             | -               | -               |
| 1.7975 | 58700 | 0.0696        | -          | -             | -               | -               |
| 1.8006 | 58800 | 0.113         | -          | -             | -               | -               |
| 1.8037 | 58900 | 0.1048        | -          | -             | -               | -               |
| 1.8067 | 59000 | 0.1305        | 1.4202     | 0.9253        | 0.7046          | 0.4450          |
| 1.8098 | 59100 | 0.1203        | -          | -             | -               | -               |
| 1.8128 | 59200 | 0.0975        | -          | -             | -               | -               |
| 1.8159 | 59300 | 0.1163        | -          | -             | -               | -               |
| 1.8190 | 59400 | 0.163         | -          | -             | -               | -               |
| 1.8220 | 59500 | 0.1438        | -          | -             | -               | -               |
| 1.8251 | 59600 | 0.1465        | -          | -             | -               | -               |
| 1.8281 | 59700 | 0.1345        | -          | -             | -               | -               |
| 1.8312 | 59800 | 0.1726        | -          | -             | -               | -               |
| 1.8343 | 59900 | 0.1268        | -          | -             | -               | -               |
| 1.8373 | 60000 | 0.0755        | 1.4523     | 0.9355        | 0.7059          | 0.4424          |
| 1.8404 | 60100 | 0.1033        | -          | -             | -               | -               |
| 1.8435 | 60200 | 0.1231        | -          | -             | -               | -               |
| 1.8465 | 60300 | 0.1272        | -          | -             | -               | -               |
| 1.8496 | 60400 | 0.1233        | -          | -             | -               | -               |
| 1.8526 | 60500 | 0.1144        | -          | -             | -               | -               |
| 1.8557 | 60600 | 0.1158        | -          | -             | -               | -               |
| 1.8588 | 60700 | 0.1266        | -          | -             | -               | -               |
| 1.8618 | 60800 | 0.0837        | -          | -             | -               | -               |
| 1.8649 | 60900 | 0.1247        | -          | -             | -               | -               |
| 1.8680 | 61000 | 0.1297        | 1.4443     | 0.9315        | 0.7037          | 0.4498          |
| 1.8710 | 61100 | 0.1014        | -          | -             | -               | -               |
| 1.8741 | 61200 | 0.127         | -          | -             | -               | -               |
| 1.8771 | 61300 | 0.128         | -          | -             | -               | -               |
| 1.8802 | 61400 | 0.1021        | -          | -             | -               | -               |
| 1.8833 | 61500 | 0.1625        | -          | -             | -               | -               |
| 1.8863 | 61600 | 0.1177        | -          | -             | -               | -               |
| 1.8894 | 61700 | 0.1241        | -          | -             | -               | -               |
| 1.8925 | 61800 | 0.1289        | -          | -             | -               | -               |
| 1.8955 | 61900 | 0.1144        | -          | -             | -               | -               |
| 1.8986 | 62000 | 0.0968        | 1.4650     | 0.9320        | 0.7012          | 0.4421          |
| 1.9016 | 62100 | 0.0951        | -          | -             | -               | -               |
| 1.9047 | 62200 | 0.1262        | -          | -             | -               | -               |
| 1.9078 | 62300 | 0.1387        | -          | -             | -               | -               |
| 1.9108 | 62400 | 0.129         | -          | -             | -               | -               |
| 1.9139 | 62500 | 0.088         | -          | -             | -               | -               |
| 1.9170 | 62600 | 0.1166        | -          | -             | -               | -               |
| 1.9200 | 62700 | 0.1536        | -          | -             | -               | -               |
| 1.9231 | 62800 | 0.1216        | -          | -             | -               | -               |
| 1.9261 | 62900 | 0.1326        | -          | -             | -               | -               |
| 1.9292 | 63000 | 0.1014        | 1.4315     | 0.9462        | 0.6982          | 0.4377          |
| 1.9323 | 63100 | 0.1152        | -          | -             | -               | -               |
| 1.9353 | 63200 | 0.0821        | -          | -             | -               | -               |
| 1.9384 | 63300 | 0.1374        | -          | -             | -               | -               |
| 1.9415 | 63400 | 0.0827        | -          | -             | -               | -               |
| 1.9445 | 63500 | 0.1104        | -          | -             | -               | -               |
| 1.9476 | 63600 | 0.1578        | -          | -             | -               | -               |
| 1.9506 | 63700 | 0.1232        | -          | -             | -               | -               |
| 1.9537 | 63800 | 0.1482        | -          | -             | -               | -               |
| 1.9568 | 63900 | 0.1156        | -          | -             | -               | -               |
| 1.9598 | 64000 | 0.1177        | 1.4263     | 0.9434        | 0.706           | 0.4420          |
| 1.9629 | 64100 | 0.1074        | -          | -             | -               | -               |
| 1.9659 | 64200 | 0.1385        | -          | -             | -               | -               |
| 1.9690 | 64300 | 0.1083        | -          | -             | -               | -               |
| 1.9721 | 64400 | 0.1138        | -          | -             | -               | -               |
| 1.9751 | 64500 | 0.1383        | -          | -             | -               | -               |
| 1.9782 | 64600 | 0.0786        | -          | -             | -               | -               |
| 1.9813 | 64700 | 0.1043        | -          | -             | -               | -               |
| 1.9843 | 64800 | 0.1112        | -          | -             | -               | -               |
| 1.9874 | 64900 | 0.1237        | -          | -             | -               | -               |
| 1.9904 | 65000 | 0.1073        | 1.3901     | 0.9587        | 0.7002          | 0.4438          |
| 1.9935 | 65100 | 0.1174        | -          | -             | -               | -               |
| 1.9966 | 65200 | 0.1091        | -          | -             | -               | -               |
| 1.9996 | 65300 | 0.1143        | -          | -             | -               | -               |
| 2.0027 | 65400 | 0.1044        | -          | -             | -               | -               |
| 2.0058 | 65500 | 0.1279        | -          | -             | -               | -               |
| 2.0088 | 65600 | 0.13          | -          | -             | -               | -               |
| 2.0119 | 65700 | 0.1299        | -          | -             | -               | -               |
| 2.0149 | 65800 | 0.1017        | -          | -             | -               | -               |
| 2.0180 | 65900 | 0.124         | -          | -             | -               | -               |
| 2.0211 | 66000 | 0.1062        | 1.4390     | 0.9290        | 0.704           | 0.4440          |
| 2.0241 | 66100 | 0.1634        | -          | -             | -               | -               |
| 2.0272 | 66200 | 0.1149        | -          | -             | -               | -               |
| 2.0303 | 66300 | 0.0682        | -          | -             | -               | -               |
| 2.0333 | 66400 | 0.1386        | -          | -             | -               | -               |
| 2.0364 | 66500 | 0.0861        | -          | -             | -               | -               |
| 2.0394 | 66600 | 0.0669        | -          | -             | -               | -               |
| 2.0425 | 66700 | 0.0944        | -          | -             | -               | -               |
| 2.0456 | 66800 | 0.1332        | -          | -             | -               | -               |
| 2.0486 | 66900 | 0.0884        | -          | -             | -               | -               |
| 2.0517 | 67000 | 0.122         | 1.5088     | 0.9513        | 0.7063          | 0.4492          |
| 2.0548 | 67100 | 0.0934        | -          | -             | -               | -               |
| 2.0578 | 67200 | 0.102         | -          | -             | -               | -               |
| 2.0609 | 67300 | 0.1402        | -          | -             | -               | -               |
| 2.0639 | 67400 | 0.1394        | -          | -             | -               | -               |
| 2.0670 | 67500 | 0.1067        | -          | -             | -               | -               |
| 2.0701 | 67600 | 0.1052        | -          | -             | -               | -               |
| 2.0731 | 67700 | 0.1267        | -          | -             | -               | -               |
| 2.0762 | 67800 | 0.1048        | -          | -             | -               | -               |
| 2.0793 | 67900 | 0.0962        | -          | -             | -               | -               |
| 2.0823 | 68000 | 0.0929        | 1.4530     | 0.9247        | 0.7109          | 0.4491          |
| 2.0854 | 68100 | 0.1298        | -          | -             | -               | -               |
| 2.0884 | 68200 | 0.1332        | -          | -             | -               | -               |
| 2.0915 | 68300 | 0.0913        | -          | -             | -               | -               |
| 2.0946 | 68400 | 0.0843        | -          | -             | -               | -               |
| 2.0976 | 68500 | 0.0846        | -          | -             | -               | -               |
| 2.1007 | 68600 | 0.1142        | -          | -             | -               | -               |
| 2.1037 | 68700 | 0.1403        | -          | -             | -               | -               |
| 2.1068 | 68800 | 0.0961        | -          | -             | -               | -               |
| 2.1099 | 68900 | 0.0984        | -          | -             | -               | -               |
| 2.1129 | 69000 | 0.1509        | 1.4343     | 0.9552        | 0.7039          | 0.4382          |
| 2.1160 | 69100 | 0.0947        | -          | -             | -               | -               |
| 2.1191 | 69200 | 0.0877        | -          | -             | -               | -               |
| 2.1221 | 69300 | 0.0786        | -          | -             | -               | -               |
| 2.1252 | 69400 | 0.0754        | -          | -             | -               | -               |
| 2.1282 | 69500 | 0.0765        | -          | -             | -               | -               |
| 2.1313 | 69600 | 0.0632        | -          | -             | -               | -               |
| 2.1344 | 69700 | 0.1792        | -          | -             | -               | -               |
| 2.1374 | 69800 | 0.0666        | -          | -             | -               | -               |
| 2.1405 | 69900 | 0.1225        | -          | -             | -               | -               |
| 2.1436 | 70000 | 0.0922        | 1.4291     | 0.9393        | 0.7053          | 0.4357          |
| 2.1466 | 70100 | 0.126         | -          | -             | -               | -               |
| 2.1497 | 70200 | 0.0991        | -          | -             | -               | -               |
| 2.1527 | 70300 | 0.0759        | -          | -             | -               | -               |
| 2.1558 | 70400 | 0.1024        | -          | -             | -               | -               |
| 2.1589 | 70500 | 0.0894        | -          | -             | -               | -               |
| 2.1619 | 70600 | 0.113         | -          | -             | -               | -               |
| 2.1650 | 70700 | 0.1084        | -          | -             | -               | -               |
| 2.1681 | 70800 | 0.1013        | -          | -             | -               | -               |
| 2.1711 | 70900 | 0.111         | -          | -             | -               | -               |
| 2.1742 | 71000 | 0.0965        | 1.3915     | 0.9477        | 0.7052          | 0.4437          |
| 2.1772 | 71100 | 0.0837        | -          | -             | -               | -               |
| 2.1803 | 71200 | 0.0347        | -          | -             | -               | -               |
| 2.1834 | 71300 | 0.1215        | -          | -             | -               | -               |
| 2.1864 | 71400 | 0.0799        | -          | -             | -               | -               |
| 2.1895 | 71500 | 0.1173        | -          | -             | -               | -               |
| 2.1926 | 71600 | 0.0964        | -          | -             | -               | -               |
| 2.1956 | 71700 | 0.1036        | -          | -             | -               | -               |
| 2.1987 | 71800 | 0.0952        | -          | -             | -               | -               |
| 2.2017 | 71900 | 0.0752        | -          | -             | -               | -               |
| 2.2048 | 72000 | 0.0824        | 1.4657     | 0.9593        | 0.7011          | 0.4397          |
| 2.2079 | 72100 | 0.1081        | -          | -             | -               | -               |
| 2.2109 | 72200 | 0.0718        | -          | -             | -               | -               |
| 2.2140 | 72300 | 0.0644        | -          | -             | -               | -               |
| 2.2171 | 72400 | 0.0919        | -          | -             | -               | -               |
| 2.2201 | 72500 | 0.1099        | -          | -             | -               | -               |
| 2.2232 | 72600 | 0.072         | -          | -             | -               | -               |
| 2.2262 | 72700 | 0.0675        | -          | -             | -               | -               |
| 2.2293 | 72800 | 0.0568        | -          | -             | -               | -               |
| 2.2324 | 72900 | 0.0664        | -          | -             | -               | -               |
| 2.2354 | 73000 | 0.0926        | 1.4526     | 0.9607        | 0.701           | 0.4383          |
| 2.2385 | 73100 | 0.1089        | -          | -             | -               | -               |
| 2.2415 | 73200 | 0.1208        | -          | -             | -               | -               |
| 2.2446 | 73300 | 0.0583        | -          | -             | -               | -               |
| 2.2477 | 73400 | 0.0546        | -          | -             | -               | -               |
| 2.2507 | 73500 | 0.086         | -          | -             | -               | -               |
| 2.2538 | 73600 | 0.1029        | -          | -             | -               | -               |
| 2.2569 | 73700 | 0.0803        | -          | -             | -               | -               |
| 2.2599 | 73800 | 0.114         | -          | -             | -               | -               |
| 2.2630 | 73900 | 0.0542        | -          | -             | -               | -               |
| 2.2660 | 74000 | 0.0732        | 1.4112     | 0.9411        | 0.7028          | 0.4454          |
| 2.2691 | 74100 | 0.0641        | -          | -             | -               | -               |
| 2.2722 | 74200 | 0.072         | -          | -             | -               | -               |
| 2.2752 | 74300 | 0.0806        | -          | -             | -               | -               |
| 2.2783 | 74400 | 0.0845        | -          | -             | -               | -               |
| 2.2814 | 74500 | 0.0599        | -          | -             | -               | -               |
| 2.2844 | 74600 | 0.069         | -          | -             | -               | -               |
| 2.2875 | 74700 | 0.0808        | -          | -             | -               | -               |
| 2.2905 | 74800 | 0.0903        | -          | -             | -               | -               |
| 2.2936 | 74900 | 0.0693        | -          | -             | -               | -               |
| 2.2967 | 75000 | 0.074         | 1.4487     | 0.9686        | 0.6945          | 0.4495          |
| 2.2997 | 75100 | 0.1261        | -          | -             | -               | -               |
| 2.3028 | 75200 | 0.055         | -          | -             | -               | -               |
| 2.3059 | 75300 | 0.0828        | -          | -             | -               | -               |
| 2.3089 | 75400 | 0.0735        | -          | -             | -               | -               |
| 2.3120 | 75500 | 0.0539        | -          | -             | -               | -               |
| 2.3150 | 75600 | 0.0763        | -          | -             | -               | -               |
| 2.3181 | 75700 | 0.0598        | -          | -             | -               | -               |
| 2.3212 | 75800 | 0.0782        | -          | -             | -               | -               |
| 2.3242 | 75900 | 0.0681        | -          | -             | -               | -               |
| 2.3273 | 76000 | 0.0497        | 1.4493     | 0.9589        | 0.6972          | 0.4354          |
| 2.3304 | 76100 | 0.0353        | -          | -             | -               | -               |
| 2.3334 | 76200 | 0.0669        | -          | -             | -               | -               |
| 2.3365 | 76300 | 0.064         | -          | -             | -               | -               |
| 2.3395 | 76400 | 0.0814        | -          | -             | -               | -               |
| 2.3426 | 76500 | 0.0786        | -          | -             | -               | -               |
| 2.3457 | 76600 | 0.091         | -          | -             | -               | -               |
| 2.3487 | 76700 | 0.0861        | -          | -             | -               | -               |
| 2.3518 | 76800 | 0.0445        | -          | -             | -               | -               |
| 2.3549 | 76900 | 0.0589        | -          | -             | -               | -               |
| 2.3579 | 77000 | 0.0318        | 1.4455     | 0.9647        | 0.7012          | 0.4390          |
| 2.3610 | 77100 | 0.0425        | -          | -             | -               | -               |
| 2.3640 | 77200 | 0.0605        | -          | -             | -               | -               |
| 2.3671 | 77300 | 0.0523        | -          | -             | -               | -               |
| 2.3702 | 77400 | 0.0715        | -          | -             | -               | -               |
| 2.3732 | 77500 | 0.0756        | -          | -             | -               | -               |
| 2.3763 | 77600 | 0.0911        | -          | -             | -               | -               |
| 2.3793 | 77700 | 0.1023        | -          | -             | -               | -               |
| 2.3824 | 77800 | 0.0538        | -          | -             | -               | -               |
| 2.3855 | 77900 | 0.0571        | -          | -             | -               | -               |
| 2.3885 | 78000 | 0.0505        | 1.4434     | 0.9554        | 0.7048          | 0.4411          |
| 2.3916 | 78100 | 0.1114        | -          | -             | -               | -               |
| 2.3947 | 78200 | 0.0368        | -          | -             | -               | -               |
| 2.3977 | 78300 | 0.0636        | -          | -             | -               | -               |
| 2.4008 | 78400 | 0.0419        | -          | -             | -               | -               |
| 2.4038 | 78500 | 0.0691        | -          | -             | -               | -               |
| 2.4069 | 78600 | 0.0814        | -          | -             | -               | -               |
| 2.4100 | 78700 | 0.0644        | -          | -             | -               | -               |
| 2.4130 | 78800 | 0.0584        | -          | -             | -               | -               |
| 2.4161 | 78900 | 0.0745        | -          | -             | -               | -               |
| 2.4192 | 79000 | 0.0558        | 1.4218     | 0.9631        | 0.7024          | 0.4399          |
| 2.4222 | 79100 | 0.0478        | -          | -             | -               | -               |
| 2.4253 | 79200 | 0.1116        | -          | -             | -               | -               |
| 2.4283 | 79300 | 0.0487        | -          | -             | -               | -               |
| 2.4314 | 79400 | 0.0457        | -          | -             | -               | -               |
| 2.4345 | 79500 | 0.0441        | -          | -             | -               | -               |
| 2.4375 | 79600 | 0.037         | -          | -             | -               | -               |
| 2.4406 | 79700 | 0.0382        | -          | -             | -               | -               |
| 2.4437 | 79800 | 0.0453        | -          | -             | -               | -               |
| 2.4467 | 79900 | 0.0625        | -          | -             | -               | -               |
| 2.4498 | 80000 | 0.0649        | 1.4950     | 0.9400        | 0.7053          | 0.4516          |
| 2.4528 | 80100 | 0.0417        | -          | -             | -               | -               |
| 2.4559 | 80200 | 0.03          | -          | -             | -               | -               |
| 2.4590 | 80300 | 0.0281        | -          | -             | -               | -               |
| 2.4620 | 80400 | 0.0637        | -          | -             | -               | -               |
| 2.4651 | 80500 | 0.0415        | -          | -             | -               | -               |
| 2.4682 | 80600 | 0.048         | -          | -             | -               | -               |
| 2.4712 | 80700 | 0.0653        | -          | -             | -               | -               |
| 2.4743 | 80800 | 0.0382        | -          | -             | -               | -               |
| 2.4773 | 80900 | 0.0524        | -          | -             | -               | -               |
| 2.4804 | 81000 | 0.0699        | 1.4317     | 0.9833        | 0.7024          | 0.4487          |
| 2.4835 | 81100 | 0.0728        | -          | -             | -               | -               |
| 2.4865 | 81200 | 0.0346        | -          | -             | -               | -               |
| 2.4896 | 81300 | 0.0448        | -          | -             | -               | -               |
| 2.4927 | 81400 | 0.0425        | -          | -             | -               | -               |
| 2.4957 | 81500 | 0.0941        | -          | -             | -               | -               |
| 2.4988 | 81600 | 0.0385        | -          | -             | -               | -               |
| 2.5018 | 81700 | 0.0802        | -          | -             | -               | -               |
| 2.5049 | 81800 | 0.033         | -          | -             | -               | -               |
| 2.5080 | 81900 | 0.0653        | -          | -             | -               | -               |
| 2.5110 | 82000 | 0.0435        | 1.4630     | 0.9643        | 0.7006          | 0.4467          |
| 2.5141 | 82100 | 0.0301        | -          | -             | -               | -               |
| 2.5171 | 82200 | 0.0392        | -          | -             | -               | -               |
| 2.5202 | 82300 | 0.0402        | -          | -             | -               | -               |
| 2.5233 | 82400 | 0.0584        | -          | -             | -               | -               |
| 2.5263 | 82500 | 0.0334        | -          | -             | -               | -               |
| 2.5294 | 82600 | 0.0409        | -          | -             | -               | -               |
| 2.5325 | 82700 | 0.0587        | -          | -             | -               | -               |
| 2.5355 | 82800 | 0.0412        | -          | -             | -               | -               |
| 2.5386 | 82900 | 0.0477        | -          | -             | -               | -               |
| 2.5416 | 83000 | 0.0485        | 1.4052     | 0.9665        | 0.7021          | 0.4382          |
| 2.5447 | 83100 | 0.0501        | -          | -             | -               | -               |
| 2.5478 | 83200 | 0.0492        | -          | -             | -               | -               |
| 2.5508 | 83300 | 0.0829        | -          | -             | -               | -               |
| 2.5539 | 83400 | 0.0571        | -          | -             | -               | -               |
| 2.5570 | 83500 | 0.0353        | -          | -             | -               | -               |
| 2.5600 | 83600 | 0.0439        | -          | -             | -               | -               |
| 2.5631 | 83700 | 0.0264        | -          | -             | -               | -               |
| 2.5661 | 83800 | 0.0743        | -          | -             | -               | -               |
| 2.5692 | 83900 | 0.0467        | -          | -             | -               | -               |
| 2.5723 | 84000 | 0.0442        | 1.4663     | 0.9854        | 0.7022          | 0.4380          |
| 2.5753 | 84100 | 0.0461        | -          | -             | -               | -               |
| 2.5784 | 84200 | 0.0542        | -          | -             | -               | -               |
| 2.5815 | 84300 | 0.0842        | -          | -             | -               | -               |
| 2.5845 | 84400 | 0.0361        | -          | -             | -               | -               |
| 2.5876 | 84500 | 0.0577        | -          | -             | -               | -               |
| 2.5906 | 84600 | 0.0345        | -          | -             | -               | -               |
| 2.5937 | 84700 | 0.0296        | -          | -             | -               | -               |
| 2.5968 | 84800 | 0.025         | -          | -             | -               | -               |
| 2.5998 | 84900 | 0.0575        | -          | -             | -               | -               |
| 2.6029 | 85000 | 0.0567        | 1.5179     | 0.9760        | 0.7008          | 0.4469          |
| 2.6060 | 85100 | 0.0528        | -          | -             | -               | -               |
| 2.6090 | 85200 | 0.0437        | -          | -             | -               | -               |
| 2.6121 | 85300 | 0.0291        | -          | -             | -               | -               |
| 2.6151 | 85400 | 0.0689        | -          | -             | -               | -               |
| 2.6182 | 85500 | 0.0328        | -          | -             | -               | -               |
| 2.6213 | 85600 | 0.0473        | -          | -             | -               | -               |
| 2.6243 | 85700 | 0.0682        | -          | -             | -               | -               |
| 2.6274 | 85800 | 0.0544        | -          | -             | -               | -               |
| 2.6305 | 85900 | 0.0641        | -          | -             | -               | -               |
| 2.6335 | 86000 | 0.029         | 1.4558     | 0.9576        | 0.7072          | 0.4448          |
| 2.6366 | 86100 | 0.0364        | -          | -             | -               | -               |
| 2.6396 | 86200 | 0.0365        | -          | -             | -               | -               |
| 2.6427 | 86300 | 0.0514        | -          | -             | -               | -               |
| 2.6458 | 86400 | 0.0417        | -          | -             | -               | -               |
| 2.6488 | 86500 | 0.0309        | -          | -             | -               | -               |
| 2.6519 | 86600 | 0.035         | -          | -             | -               | -               |
| 2.6549 | 86700 | 0.044         | -          | -             | -               | -               |
| 2.6580 | 86800 | 0.0694        | -          | -             | -               | -               |
| 2.6611 | 86900 | 0.0194        | -          | -             | -               | -               |
| 2.6641 | 87000 | 0.0373        | 1.5556     | 0.9819        | 0.7052          | 0.4339          |
| 2.6672 | 87100 | 0.0349        | -          | -             | -               | -               |
| 2.6703 | 87200 | 0.0561        | -          | -             | -               | -               |
| 2.6733 | 87300 | 0.0487        | -          | -             | -               | -               |
| 2.6764 | 87400 | 0.0722        | -          | -             | -               | -               |
| 2.6794 | 87500 | 0.0501        | -          | -             | -               | -               |
| 2.6825 | 87600 | 0.0404        | -          | -             | -               | -               |
| 2.6856 | 87700 | 0.0533        | -          | -             | -               | -               |
| 2.6886 | 87800 | 0.0371        | -          | -             | -               | -               |
| 2.6917 | 87900 | 0.0585        | -          | -             | -               | -               |
| 2.6948 | 88000 | 0.0482        | 1.4305     | 0.9550        | 0.7053          | 0.4397          |
| 2.6978 | 88100 | 0.0731        | -          | -             | -               | -               |
| 2.7009 | 88200 | 0.0312        | -          | -             | -               | -               |
| 2.7039 | 88300 | 0.0339        | -          | -             | -               | -               |
| 2.7070 | 88400 | 0.0348        | -          | -             | -               | -               |
| 2.7101 | 88500 | 0.0509        | -          | -             | -               | -               |
| 2.7131 | 88600 | 0.0343        | -          | -             | -               | -               |
| 2.7162 | 88700 | 0.0282        | -          | -             | -               | -               |
| 2.7193 | 88800 | 0.0518        | -          | -             | -               | -               |
| 2.7223 | 88900 | 0.0569        | -          | -             | -               | -               |
| 2.7254 | 89000 | 0.0427        | 1.4783     | 0.9810        | 0.7066          | 0.4263          |
| 2.7284 | 89100 | 0.0554        | -          | -             | -               | -               |
| 2.7315 | 89200 | 0.0368        | -          | -             | -               | -               |
| 2.7346 | 89300 | 0.0301        | -          | -             | -               | -               |
| 2.7376 | 89400 | 0.0469        | -          | -             | -               | -               |
| 2.7407 | 89500 | 0.0479        | -          | -             | -               | -               |
| 2.7438 | 89600 | 0.0586        | -          | -             | -               | -               |
| 2.7468 | 89700 | 0.0687        | -          | -             | -               | -               |
| 2.7499 | 89800 | 0.0427        | -          | -             | -               | -               |
| 2.7529 | 89900 | 0.0551        | -          | -             | -               | -               |
| 2.7560 | 90000 | 0.0255        | 1.4759     | 0.9758        | 0.7011          | 0.4434          |
| 2.7591 | 90100 | 0.0348        | -          | -             | -               | -               |
| 2.7621 | 90200 | 0.0536        | -          | -             | -               | -               |
| 2.7652 | 90300 | 0.0554        | -          | -             | -               | -               |
| 2.7683 | 90400 | 0.0367        | -          | -             | -               | -               |
| 2.7713 | 90500 | 0.0185        | -          | -             | -               | -               |
| 2.7744 | 90600 | 0.0498        | -          | -             | -               | -               |
| 2.7774 | 90700 | 0.0296        | -          | -             | -               | -               |
| 2.7805 | 90800 | 0.0132        | -          | -             | -               | -               |
| 2.7836 | 90900 | 0.0607        | -          | -             | -               | -               |
| 2.7866 | 91000 | 0.0303        | 1.4869     | 0.9817        | 0.704           | 0.4442          |
| 2.7897 | 91100 | 0.0463        | -          | -             | -               | -               |
| 2.7927 | 91200 | 0.0302        | -          | -             | -               | -               |
| 2.7958 | 91300 | 0.04          | -          | -             | -               | -               |
| 2.7989 | 91400 | 0.0406        | -          | -             | -               | -               |
| 2.8019 | 91500 | 0.0202        | -          | -             | -               | -               |
| 2.8050 | 91600 | 0.0397        | -          | -             | -               | -               |
| 2.8081 | 91700 | 0.0313        | -          | -             | -               | -               |
| 2.8111 | 91800 | 0.0419        | -          | -             | -               | -               |
| 2.8142 | 91900 | 0.055         | -          | -             | -               | -               |
| 2.8172 | 92000 | 0.0377        | 1.5091     | 0.9752        | 0.7071          | 0.4336          |
| 2.8203 | 92100 | 0.0386        | -          | -             | -               | -               |
| 2.8234 | 92200 | 0.0497        | -          | -             | -               | -               |
| 2.8264 | 92300 | 0.061         | -          | -             | -               | -               |
| 2.8295 | 92400 | 0.0683        | -          | -             | -               | -               |
| 2.8326 | 92500 | 0.0846        | -          | -             | -               | -               |
| 2.8356 | 92600 | 0.0121        | -          | -             | -               | -               |
| 2.8387 | 92700 | 0.0268        | -          | -             | -               | -               |
| 2.8417 | 92800 | 0.0205        | -          | -             | -               | -               |
| 2.8448 | 92900 | 0.0414        | -          | -             | -               | -               |
| 2.8479 | 93000 | 0.0443        | 1.5421     | 0.9798        | 0.708           | 0.4298          |
| 2.8509 | 93100 | 0.0365        | -          | -             | -               | -               |
| 2.8540 | 93200 | 0.0431        | -          | -             | -               | -               |
| 2.8571 | 93300 | 0.0254        | -          | -             | -               | -               |
| 2.8601 | 93400 | 0.0348        | -          | -             | -               | -               |
| 2.8632 | 93500 | 0.0408        | -          | -             | -               | -               |
| 2.8662 | 93600 | 0.0481        | -          | -             | -               | -               |
| 2.8693 | 93700 | 0.0303        | -          | -             | -               | -               |
| 2.8724 | 93800 | 0.0512        | -          | -             | -               | -               |
| 2.8754 | 93900 | 0.0563        | -          | -             | -               | -               |
| 2.8785 | 94000 | 0.0506        | 1.6061     | 0.9909        | 0.7043          | 0.4392          |
| 2.8816 | 94100 | 0.0224        | -          | -             | -               | -               |
| 2.8846 | 94200 | 0.0652        | -          | -             | -               | -               |
| 2.8877 | 94300 | 0.0313        | -          | -             | -               | -               |
| 2.8907 | 94400 | 0.0657        | -          | -             | -               | -               |
| 2.8938 | 94500 | 0.0605        | -          | -             | -               | -               |
| 2.8969 | 94600 | 0.0332        | -          | -             | -               | -               |
| 2.8999 | 94700 | 0.0126        | -          | -             | -               | -               |
| 2.9030 | 94800 | 0.0374        | -          | -             | -               | -               |
| 2.9061 | 94900 | 0.051         | -          | -             | -               | -               |
| 2.9091 | 95000 | 0.0477        | 1.5915     | 1.0124        | 0.702           | 0.4299          |

</details>

### Framework Versions
- Python: 3.10.12
- Sentence Transformers: 3.0.0
- Transformers: 4.38.2
- PyTorch: 2.1.2+cu121
- Accelerate: 0.27.2
- Datasets: 2.19.1
- Tokenizers: 0.15.2

## Citation

### BibTeX

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

#### CachedMultipleNegativesRankingLoss
```bibtex
@misc{gao2021scaling,
    title={Scaling Deep Contrastive Learning Batch Size under Memory Limited Setup}, 
    author={Luyu Gao and Yunyi Zhang and Jiawei Han and Jamie Callan},
    year={2021},
    eprint={2101.06983},
    archivePrefix={arXiv},
    primaryClass={cs.LG}
}
```

#### AnglELoss
```bibtex
@misc{li2023angleoptimized,
    title={AnglE-optimized Text Embeddings}, 
    author={Xianming Li and Jing Li},
    year={2023},
    eprint={2309.12871},
    archivePrefix={arXiv},
    primaryClass={cs.CL}
}
```

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