sentence-transformers safetensors modernbert sentence-similarity feature-extraction generated_from_trainer dataset_size:449904 loss:CosineSimilarityLoss dataset:x2bee/misc_sts_pairs_v2_kor_kosimcse arxiv:1908.10084 base_model:CocoRoF/ModernBERT-SimCSE_v04 base_model:finetune:CocoRoF/ModernBERT-SimCSE_v04 model-index autotrain_compatible endpoints_compatible region:us
---
base_model: CocoRoF/ModernBERT-SimCSE_v04
datasets:
- x2bee/misc_sts_pairs_v2_kor_kosimcse
library_name: sentence-transformers
metrics:
- pearson_cosine
- spearman_cosine
- pearson_euclidean
- spearman_euclidean
- pearson_manhattan
- spearman_manhattan
- pearson_dot
- spearman_dot
- pearson_max
- spearman_max
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- sentence-similarity
- feature-extraction
- generated_from_trainer
- dataset_size:449904
- loss:CosineSimilarityLoss
widget:
- source_sentence: 우리는 움직이는 동행 우주 정지 좌표계에 비례하여 이동하고 있습니다 ... 약 371km / s에서 별자리 leo
    쪽으로. "
  sentences:
  - 두 마리의 독수리가 가지에 앉는다.
  - 다른 물체와는 관련이 없는 '정지'는 없다.
  - 소녀는 버스의 열린 문 앞에 서 있다.
- source_sentence: 숲에는 개들이 있다.
  sentences:
  - 양을 보는 아이들.
  - 여왕의 배우자를 "왕"이라고 부르지 않는 것은 아주 좋은 이유가 있다. 왜냐하면 그들은 왕이 아니기 때문이다.
  - 개들은 숲속에 혼자 있다.
- source_sentence: '첫째, 두 가지 다른 종류의 대시가 있다는 것을 알아야 합니다 : en 대시와 em 대시.'
  sentences:
  - 그들은 그 물건들을 집 주변에 두고 가거나 집의 정리를 해칠 의도가 없다.
  - 세미콜론은 혼자 있을 수 있는 문장에 참여하는데 사용되지만, 그들의 관계를 강조하기 위해 결합됩니다.
  - 그의 남동생이 지켜보는 동안 집 앞에서 트럼펫을 연주하는 금발의 아이.
- source_sentence: 한 여성이 생선 껍질을 벗기고 있다.
  sentences:
  - 한 남자가 수영장으로 뛰어들었다.
  - 한 여성이 프라이팬에 노란 혼합물을 부어 넣고 있다.
  - 두 마리의 갈색 개가 눈 속에서 서로 놀고 있다.
- source_sentence: 버스가 바쁜 길을 따라 운전한다.
  sentences:
  - 우리와 같은 태양계가 은하계 밖에서 존재할 수도 있을 것입니다.
  - 그 여자는 데이트하러 가는 중이다.
  - 녹색 버스가 도로를 따라 내려간다.
model-index:
- name: SentenceTransformer based on CocoRoF/ModernBERT-SimCSE_v04
  results:
  - task:
      type: semantic-similarity
      name: Semantic Similarity
    dataset:
      name: sts dev
      type: sts_dev
    metrics:
    - type: pearson_cosine
      value: 0.7947107267431892
      name: Pearson Cosine
    - type: spearman_cosine
      value: 0.8008029938863944
      name: Spearman Cosine
    - type: pearson_euclidean
      value: 0.7729649224022854
      name: Pearson Euclidean
    - type: spearman_euclidean
      value: 0.7731836226956725
      name: Spearman Euclidean
    - type: pearson_manhattan
      value: 0.7728910393964163
      name: Pearson Manhattan
    - type: spearman_manhattan
      value: 0.7732333197709114
      name: Spearman Manhattan
    - type: pearson_dot
      value: 0.6023258275823691
      name: Pearson Dot
    - type: spearman_dot
      value: 0.5958009787049323
      name: Spearman Dot
    - type: pearson_max
      value: 0.7947107267431892
      name: Pearson Max
    - type: spearman_max
      value: 0.8008029938863944
      name: Spearman Max
---

# SentenceTransformer based on CocoRoF/ModernBERT-SimCSE_v04

This is a [sentence-transformers](https://www.SBERT.net) model finetuned from [CocoRoF/ModernBERT-SimCSE_v04](https://huggingface.co/CocoRoF/ModernBERT-SimCSE_v04) on the [misc_sts_pairs_v2_kor_kosimcse](https://huggingface.co/datasets/x2bee/misc_sts_pairs_v2_kor_kosimcse) dataset. 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:** [CocoRoF/ModernBERT-SimCSE_v04](https://huggingface.co/CocoRoF/ModernBERT-SimCSE_v04) <!-- at revision 7d23b869258e5c726c0f536bccac7e873d510d66 -->
- **Maximum Sequence Length:** 512 tokens
- **Output Dimensionality:** 768 dimensions
- **Similarity Function:** Cosine Similarity
- **Training Dataset:**
    - [misc_sts_pairs_v2_kor_kosimcse](https://huggingface.co/datasets/x2bee/misc_sts_pairs_v2_kor_kosimcse)
<!-- - **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': 512, 'do_lower_case': False}) with Transformer model: ModernBertModel 
  (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})
  (2): Dense({'in_features': 768, 'out_features': 768, 'bias': True, 'activation_function': 'torch.nn.modules.activation.Tanh'})
)
```

## 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("CocoRoF/ModernBERT-SimCSE-multitask_v05")
# Run inference
sentences = [
    '버스가 바쁜 길을 따라 운전한다.',
    '녹색 버스가 도로를 따라 내려간다.',
    '그 여자는 데이트하러 가는 중이다.',
]
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>
-->

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### Out-of-Scope Use

*List how the model may foreseeably be misused and address what users ought not to do with the model.*
-->

## Evaluation

### Metrics

#### Semantic Similarity

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

| Metric             | Value      |
|:-------------------|:-----------|
| pearson_cosine     | 0.7947     |
| spearman_cosine    | 0.8008     |
| pearson_euclidean  | 0.773      |
| spearman_euclidean | 0.7732     |
| pearson_manhattan  | 0.7729     |
| spearman_manhattan | 0.7732     |
| pearson_dot        | 0.6023     |
| spearman_dot       | 0.5958     |
| pearson_max        | 0.7947     |
| **spearman_max**   | **0.8008** |

<!--
## Bias, Risks and Limitations

*What are the known or foreseeable issues stemming from this model? You could also flag here known failure cases or weaknesses of the model.*
-->

<!--
### Recommendations

*What are recommendations with respect to the foreseeable issues? For example, filtering explicit content.*
-->

## Training Details

### Training Dataset

#### misc_sts_pairs_v2_kor_kosimcse

* Dataset: [misc_sts_pairs_v2_kor_kosimcse](https://huggingface.co/datasets/x2bee/misc_sts_pairs_v2_kor_kosimcse) at [e747415](https://huggingface.co/datasets/x2bee/misc_sts_pairs_v2_kor_kosimcse/tree/e747415cfe9ff51d1c1550b8a07e5014c01dea59)
* Size: 449,904 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: 6 tokens</li><li>mean: 15.81 tokens</li><li>max: 66 tokens</li></ul> | <ul><li>min: 6 tokens</li><li>mean: 16.18 tokens</li><li>max: 48 tokens</li></ul> | <ul><li>min: 0.11</li><li>mean: 0.77</li><li>max: 1.0</li></ul> |
* Samples:
  | sentence1                                        | sentence2                                  | score                           |
  |:-------------------------------------------------|:-------------------------------------------|:--------------------------------|
  | <code>주홍글씨는 언제 출판되었습니까?</code>                   | <code>《주홍글씨》는 몇 년에 출판되었습니까?</code>         | <code>0.8638778924942017</code> |
  | <code>폴란드에서 빨간색과 흰색은 무엇을 의미합니까?</code>           | <code>폴란드 국기의 색상은 무엇입니까?</code>            | <code>0.6773715019226074</code> |
  | <code>노르만인들은 방어를 위해 모트와 베일리 성을 어떻게 사용했는가?</code> | <code>11세기에는 어떻게 모트와 베일리 성을 만들었습니까?</code> | <code>0.7460665702819824</code> |
* Loss: [<code>CosineSimilarityLoss</code>](https://sbert.net/docs/package_reference/sentence_transformer/losses.html#cosinesimilarityloss) with these parameters:
  ```json
  {
      "loss_fct": "torch.nn.modules.loss.MSELoss"
  }
  ```

### Evaluation Dataset

#### Unnamed Dataset


* Size: 1,500 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: 6 tokens</li><li>mean: 18.89 tokens</li><li>max: 51 tokens</li></ul> | <ul><li>min: 5 tokens</li><li>mean: 18.92 tokens</li><li>max: 50 tokens</li></ul> | <ul><li>min: 0.0</li><li>mean: 0.42</li><li>max: 1.0</li></ul> |
* Samples:
  | sentence1                            | sentence2                           | score             |
  |:-------------------------------------|:------------------------------------|:------------------|
  | <code>안전모를 가진 한 남자가 춤을 추고 있다.</code> | <code>안전모를 쓴 한 남자가 춤을 추고 있다.</code> | <code>1.0</code>  |
  | <code>어린아이가 말을 타고 있다.</code>         | <code>아이가 말을 타고 있다.</code>          | <code>0.95</code> |
  | <code>한 남자가 뱀에게 쥐를 먹이고 있다.</code>    | <code>남자가 뱀에게 쥐를 먹이고 있다.</code>     | <code>1.0</code>  |
* Loss: [<code>CosineSimilarityLoss</code>](https://sbert.net/docs/package_reference/sentence_transformer/losses.html#cosinesimilarityloss) with these parameters:
  ```json
  {
      "loss_fct": "torch.nn.modules.loss.MSELoss"
  }
  ```

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

- `overwrite_output_dir`: True
- `eval_strategy`: steps
- `per_device_train_batch_size`: 16
- `per_device_eval_batch_size`: 16
- `gradient_accumulation_steps`: 8
- `num_train_epochs`: 2.0
- `warmup_ratio`: 0.2
- `push_to_hub`: True
- `hub_model_id`: CocoRoF/ModernBERT-SimCSE-multitask_v05
- `hub_strategy`: checkpoint
- `batch_sampler`: no_duplicates

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

- `overwrite_output_dir`: True
- `do_predict`: False
- `eval_strategy`: steps
- `prediction_loss_only`: True
- `per_device_train_batch_size`: 16
- `per_device_eval_batch_size`: 16
- `per_gpu_train_batch_size`: None
- `per_gpu_eval_batch_size`: None
- `gradient_accumulation_steps`: 8
- `eval_accumulation_steps`: None
- `torch_empty_cache_steps`: None
- `learning_rate`: 5e-05
- `weight_decay`: 0.0
- `adam_beta1`: 0.9
- `adam_beta2`: 0.999
- `adam_epsilon`: 1e-08
- `max_grad_norm`: 1.0
- `num_train_epochs`: 2.0
- `max_steps`: -1
- `lr_scheduler_type`: linear
- `lr_scheduler_kwargs`: {}
- `warmup_ratio`: 0.2
- `warmup_steps`: 0
- `log_level`: passive
- `log_level_replica`: warning
- `log_on_each_node`: True
- `logging_nan_inf_filter`: True
- `save_safetensors`: True
- `save_on_each_node`: False
- `save_only_model`: False
- `restore_callback_states_from_checkpoint`: False
- `no_cuda`: False
- `use_cpu`: False
- `use_mps_device`: False
- `seed`: 42
- `data_seed`: None
- `jit_mode_eval`: False
- `use_ipex`: False
- `bf16`: False
- `fp16`: False
- `fp16_opt_level`: O1
- `half_precision_backend`: auto
- `bf16_full_eval`: False
- `fp16_full_eval`: False
- `tf32`: None
- `local_rank`: 0
- `ddp_backend`: None
- `tpu_num_cores`: None
- `tpu_metrics_debug`: False
- `debug`: []
- `dataloader_drop_last`: True
- `dataloader_num_workers`: 0
- `dataloader_prefetch_factor`: None
- `past_index`: -1
- `disable_tqdm`: False
- `remove_unused_columns`: True
- `label_names`: None
- `load_best_model_at_end`: False
- `ignore_data_skip`: False
- `fsdp`: []
- `fsdp_min_num_params`: 0
- `fsdp_config`: {'min_num_params': 0, 'xla': False, 'xla_fsdp_v2': False, 'xla_fsdp_grad_ckpt': False}
- `fsdp_transformer_layer_cls_to_wrap`: None
- `accelerator_config`: {'split_batches': False, 'dispatch_batches': None, 'even_batches': True, 'use_seedable_sampler': True, 'non_blocking': False, 'gradient_accumulation_kwargs': None}
- `deepspeed`: None
- `label_smoothing_factor`: 0.0
- `optim`: adamw_torch
- `optim_args`: None
- `adafactor`: False
- `group_by_length`: False
- `length_column_name`: length
- `ddp_find_unused_parameters`: None
- `ddp_bucket_cap_mb`: None
- `ddp_broadcast_buffers`: False
- `dataloader_pin_memory`: True
- `dataloader_persistent_workers`: False
- `skip_memory_metrics`: True
- `use_legacy_prediction_loop`: False
- `push_to_hub`: True
- `resume_from_checkpoint`: None
- `hub_model_id`: CocoRoF/ModernBERT-SimCSE-multitask_v05
- `hub_strategy`: checkpoint
- `hub_private_repo`: None
- `hub_always_push`: False
- `gradient_checkpointing`: False
- `gradient_checkpointing_kwargs`: None
- `include_inputs_for_metrics`: False
- `include_for_metrics`: []
- `eval_do_concat_batches`: True
- `fp16_backend`: auto
- `push_to_hub_model_id`: None
- `push_to_hub_organization`: None
- `mp_parameters`: 
- `auto_find_batch_size`: False
- `full_determinism`: False
- `torchdynamo`: None
- `ray_scope`: last
- `ddp_timeout`: 1800
- `torch_compile`: False
- `torch_compile_backend`: None
- `torch_compile_mode`: None
- `dispatch_batches`: None
- `split_batches`: None
- `include_tokens_per_second`: False
- `include_num_input_tokens_seen`: False
- `neftune_noise_alpha`: None
- `optim_target_modules`: None
- `batch_eval_metrics`: False
- `eval_on_start`: False
- `use_liger_kernel`: False
- `eval_use_gather_object`: False
- `average_tokens_across_devices`: False
- `prompts`: None
- `batch_sampler`: no_duplicates
- `multi_dataset_batch_sampler`: proportional

</details>

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

| Epoch  | Step | Training Loss | Validation Loss | sts_dev_spearman_max |
|:------:|:----:|:-------------:|:---------------:|:--------------------:|
| 0.0028 | 10   | 0.0202        | -               | -                    |
| 0.0057 | 20   | 0.0184        | -               | -                    |
| 0.0085 | 30   | 0.018         | -               | -                    |
| 0.0114 | 40   | 0.0173        | -               | -                    |
| 0.0142 | 50   | 0.0193        | -               | -                    |
| 0.0171 | 60   | 0.0158        | -               | -                    |
| 0.0199 | 70   | 0.016         | -               | -                    |
| 0.0228 | 80   | 0.0139        | -               | -                    |
| 0.0256 | 90   | 0.0143        | -               | -                    |
| 0.0285 | 100  | 0.0138        | -               | -                    |
| 0.0313 | 110  | 0.0127        | -               | -                    |
| 0.0341 | 120  | 0.0115        | -               | -                    |
| 0.0370 | 130  | 0.0117        | -               | -                    |
| 0.0398 | 140  | 0.0111        | -               | -                    |
| 0.0427 | 150  | 0.0111        | -               | -                    |
| 0.0455 | 160  | 0.0106        | -               | -                    |
| 0.0484 | 170  | 0.01          | -               | -                    |
| 0.0512 | 180  | 0.0103        | -               | -                    |
| 0.0541 | 190  | 0.0106        | -               | -                    |
| 0.0569 | 200  | 0.0102        | -               | -                    |
| 0.0597 | 210  | 0.0103        | -               | -                    |
| 0.0626 | 220  | 0.0109        | -               | -                    |
| 0.0654 | 230  | 0.0099        | -               | -                    |
| 0.0683 | 240  | 0.0086        | -               | -                    |
| 0.0711 | 250  | 0.01          | 0.0448          | 0.7642               |
| 0.0740 | 260  | 0.0098        | -               | -                    |
| 0.0768 | 270  | 0.0094        | -               | -                    |
| 0.0797 | 280  | 0.0097        | -               | -                    |
| 0.0825 | 290  | 0.0094        | -               | -                    |
| 0.0854 | 300  | 0.0095        | -               | -                    |
| 0.0882 | 310  | 0.0098        | -               | -                    |
| 0.0910 | 320  | 0.0092        | -               | -                    |
| 0.0939 | 330  | 0.0095        | -               | -                    |
| 0.0967 | 340  | 0.0103        | -               | -                    |
| 0.0996 | 350  | 0.0097        | -               | -                    |
| 0.1024 | 360  | 0.0091        | -               | -                    |
| 0.1053 | 370  | 0.0094        | -               | -                    |
| 0.1081 | 380  | 0.0088        | -               | -                    |
| 0.1110 | 390  | 0.009         | -               | -                    |
| 0.1138 | 400  | 0.0098        | -               | -                    |
| 0.1166 | 410  | 0.0083        | -               | -                    |
| 0.1195 | 420  | 0.0099        | -               | -                    |
| 0.1223 | 430  | 0.0094        | -               | -                    |
| 0.1252 | 440  | 0.0092        | -               | -                    |
| 0.1280 | 450  | 0.009         | -               | -                    |
| 0.1309 | 460  | 0.0088        | -               | -                    |
| 0.1337 | 470  | 0.0092        | -               | -                    |
| 0.1366 | 480  | 0.0083        | -               | -                    |
| 0.1394 | 490  | 0.0089        | -               | -                    |
| 0.1423 | 500  | 0.0089        | 0.0444          | 0.7725               |
| 0.1451 | 510  | 0.0095        | -               | -                    |
| 0.1479 | 520  | 0.0095        | -               | -                    |
| 0.1508 | 530  | 0.0091        | -               | -                    |
| 0.1536 | 540  | 0.0082        | -               | -                    |
| 0.1565 | 550  | 0.0091        | -               | -                    |
| 0.1593 | 560  | 0.0086        | -               | -                    |
| 0.1622 | 570  | 0.009         | -               | -                    |
| 0.1650 | 580  | 0.0088        | -               | -                    |
| 0.1679 | 590  | 0.0087        | -               | -                    |
| 0.1707 | 600  | 0.0089        | -               | -                    |
| 0.1735 | 610  | 0.009         | -               | -                    |
| 0.1764 | 620  | 0.0088        | -               | -                    |
| 0.1792 | 630  | 0.0088        | -               | -                    |
| 0.1821 | 640  | 0.0081        | -               | -                    |
| 0.1849 | 650  | 0.0082        | -               | -                    |
| 0.1878 | 660  | 0.0088        | -               | -                    |
| 0.1906 | 670  | 0.0086        | -               | -                    |
| 0.1935 | 680  | 0.0085        | -               | -                    |
| 0.1963 | 690  | 0.009         | -               | -                    |
| 0.1992 | 700  | 0.0083        | -               | -                    |
| 0.2020 | 710  | 0.0088        | -               | -                    |
| 0.2048 | 720  | 0.0088        | -               | -                    |
| 0.2077 | 730  | 0.0087        | -               | -                    |
| 0.2105 | 740  | 0.0088        | -               | -                    |
| 0.2134 | 750  | 0.008         | 0.0465          | 0.7798               |
| 0.2162 | 760  | 0.0087        | -               | -                    |
| 0.2191 | 770  | 0.0087        | -               | -                    |
| 0.2219 | 780  | 0.009         | -               | -                    |
| 0.2248 | 790  | 0.0085        | -               | -                    |
| 0.2276 | 800  | 0.009         | -               | -                    |
| 0.2304 | 810  | 0.0082        | -               | -                    |
| 0.2333 | 820  | 0.0073        | -               | -                    |
| 0.2361 | 830  | 0.0078        | -               | -                    |
| 0.2390 | 840  | 0.0088        | -               | -                    |
| 0.2418 | 850  | 0.0077        | -               | -                    |
| 0.2447 | 860  | 0.008         | -               | -                    |
| 0.2475 | 870  | 0.008         | -               | -                    |
| 0.2504 | 880  | 0.0086        | -               | -                    |
| 0.2532 | 890  | 0.0083        | -               | -                    |
| 0.2561 | 900  | 0.0081        | -               | -                    |
| 0.2589 | 910  | 0.0081        | -               | -                    |
| 0.2617 | 920  | 0.0077        | -               | -                    |
| 0.2646 | 930  | 0.0083        | -               | -                    |
| 0.2674 | 940  | 0.0081        | -               | -                    |
| 0.2703 | 950  | 0.0069        | -               | -                    |
| 0.2731 | 960  | 0.0084        | -               | -                    |
| 0.2760 | 970  | 0.0075        | -               | -                    |
| 0.2788 | 980  | 0.0081        | -               | -                    |
| 0.2817 | 990  | 0.0086        | -               | -                    |
| 0.2845 | 1000 | 0.0079        | 0.0473          | 0.7855               |
| 0.2874 | 1010 | 0.0088        | -               | -                    |
| 0.2902 | 1020 | 0.0073        | -               | -                    |
| 0.2930 | 1030 | 0.008         | -               | -                    |
| 0.2959 | 1040 | 0.0073        | -               | -                    |
| 0.2987 | 1050 | 0.008         | -               | -                    |
| 0.3016 | 1060 | 0.0074        | -               | -                    |
| 0.3044 | 1070 | 0.007         | -               | -                    |
| 0.3073 | 1080 | 0.0075        | -               | -                    |
| 0.3101 | 1090 | 0.0077        | -               | -                    |
| 0.3130 | 1100 | 0.0076        | -               | -                    |
| 0.3158 | 1110 | 0.0082        | -               | -                    |
| 0.3186 | 1120 | 0.0073        | -               | -                    |
| 0.3215 | 1130 | 0.007         | -               | -                    |
| 0.3243 | 1140 | 0.0077        | -               | -                    |
| 0.3272 | 1150 | 0.0074        | -               | -                    |
| 0.3300 | 1160 | 0.0076        | -               | -                    |
| 0.3329 | 1170 | 0.0078        | -               | -                    |
| 0.3357 | 1180 | 0.0073        | -               | -                    |
| 0.3386 | 1190 | 0.0077        | -               | -                    |
| 0.3414 | 1200 | 0.0068        | -               | -                    |
| 0.3443 | 1210 | 0.0079        | -               | -                    |
| 0.3471 | 1220 | 0.0073        | -               | -                    |
| 0.3499 | 1230 | 0.0075        | -               | -                    |
| 0.3528 | 1240 | 0.0078        | -               | -                    |
| 0.3556 | 1250 | 0.0073        | 0.0472          | 0.7855               |
| 0.3585 | 1260 | 0.0073        | -               | -                    |
| 0.3613 | 1270 | 0.007         | -               | -                    |
| 0.3642 | 1280 | 0.0068        | -               | -                    |
| 0.3670 | 1290 | 0.0067        | -               | -                    |
| 0.3699 | 1300 | 0.0078        | -               | -                    |
| 0.3727 | 1310 | 0.0072        | -               | -                    |
| 0.3755 | 1320 | 0.0071        | -               | -                    |
| 0.3784 | 1330 | 0.0068        | -               | -                    |
| 0.3812 | 1340 | 0.0068        | -               | -                    |
| 0.3841 | 1350 | 0.0074        | -               | -                    |
| 0.3869 | 1360 | 0.0074        | -               | -                    |
| 0.3898 | 1370 | 0.0077        | -               | -                    |
| 0.3926 | 1380 | 0.0069        | -               | -                    |
| 0.3955 | 1390 | 0.0079        | -               | -                    |
| 0.3983 | 1400 | 0.0066        | -               | -                    |
| 0.4012 | 1410 | 0.008         | -               | -                    |
| 0.4040 | 1420 | 0.008         | -               | -                    |
| 0.4068 | 1430 | 0.0071        | -               | -                    |
| 0.4097 | 1440 | 0.0066        | -               | -                    |
| 0.4125 | 1450 | 0.0079        | -               | -                    |
| 0.4154 | 1460 | 0.0075        | -               | -                    |
| 0.4182 | 1470 | 0.0066        | -               | -                    |
| 0.4211 | 1480 | 0.007         | -               | -                    |
| 0.4239 | 1490 | 0.0066        | -               | -                    |
| 0.4268 | 1500 | 0.0066        | 0.0474          | 0.7908               |
| 0.4296 | 1510 | 0.0075        | -               | -                    |
| 0.4324 | 1520 | 0.0072        | -               | -                    |
| 0.4353 | 1530 | 0.0072        | -               | -                    |
| 0.4381 | 1540 | 0.0067        | -               | -                    |
| 0.4410 | 1550 | 0.0073        | -               | -                    |
| 0.4438 | 1560 | 0.0066        | -               | -                    |
| 0.4467 | 1570 | 0.0063        | -               | -                    |
| 0.4495 | 1580 | 0.0074        | -               | -                    |
| 0.4524 | 1590 | 0.0075        | -               | -                    |
| 0.4552 | 1600 | 0.0069        | -               | -                    |
| 0.4581 | 1610 | 0.0065        | -               | -                    |
| 0.4609 | 1620 | 0.007         | -               | -                    |
| 0.4637 | 1630 | 0.0067        | -               | -                    |
| 0.4666 | 1640 | 0.0067        | -               | -                    |
| 0.4694 | 1650 | 0.0072        | -               | -                    |
| 0.4723 | 1660 | 0.007         | -               | -                    |
| 0.4751 | 1670 | 0.0078        | -               | -                    |
| 0.4780 | 1680 | 0.0069        | -               | -                    |
| 0.4808 | 1690 | 0.0067        | -               | -                    |
| 0.4837 | 1700 | 0.0072        | -               | -                    |
| 0.4865 | 1710 | 0.0071        | -               | -                    |
| 0.4893 | 1720 | 0.0069        | -               | -                    |
| 0.4922 | 1730 | 0.0074        | -               | -                    |
| 0.4950 | 1740 | 0.0073        | -               | -                    |
| 0.4979 | 1750 | 0.0064        | 0.0499          | 0.7938               |
| 0.5007 | 1760 | 0.0064        | -               | -                    |
| 0.5036 | 1770 | 0.0068        | -               | -                    |
| 0.5064 | 1780 | 0.007         | -               | -                    |
| 0.5093 | 1790 | 0.0065        | -               | -                    |
| 0.5121 | 1800 | 0.0073        | -               | -                    |
| 0.5150 | 1810 | 0.0061        | -               | -                    |
| 0.5178 | 1820 | 0.0071        | -               | -                    |
| 0.5206 | 1830 | 0.0058        | -               | -                    |
| 0.5235 | 1840 | 0.0065        | -               | -                    |
| 0.5263 | 1850 | 0.0067        | -               | -                    |
| 0.5292 | 1860 | 0.0063        | -               | -                    |
| 0.5320 | 1870 | 0.007         | -               | -                    |
| 0.5349 | 1880 | 0.0069        | -               | -                    |
| 0.5377 | 1890 | 0.0073        | -               | -                    |
| 0.5406 | 1900 | 0.0067        | -               | -                    |
| 0.5434 | 1910 | 0.0068        | -               | -                    |
| 0.5462 | 1920 | 0.0066        | -               | -                    |
| 0.5491 | 1930 | 0.007         | -               | -                    |
| 0.5519 | 1940 | 0.006         | -               | -                    |
| 0.5548 | 1950 | 0.0062        | -               | -                    |
| 0.5576 | 1960 | 0.0062        | -               | -                    |
| 0.5605 | 1970 | 0.0067        | -               | -                    |
| 0.5633 | 1980 | 0.0063        | -               | -                    |
| 0.5662 | 1990 | 0.006         | -               | -                    |
| 0.5690 | 2000 | 0.0067        | 0.0478          | 0.7943               |
| 0.5719 | 2010 | 0.0076        | -               | -                    |
| 0.5747 | 2020 | 0.0069        | -               | -                    |
| 0.5775 | 2030 | 0.0065        | -               | -                    |
| 0.5804 | 2040 | 0.007         | -               | -                    |
| 0.5832 | 2050 | 0.006         | -               | -                    |
| 0.5861 | 2060 | 0.0064        | -               | -                    |
| 0.5889 | 2070 | 0.0063        | -               | -                    |
| 0.5918 | 2080 | 0.0067        | -               | -                    |
| 0.5946 | 2090 | 0.0064        | -               | -                    |
| 0.5975 | 2100 | 0.0062        | -               | -                    |
| 0.6003 | 2110 | 0.0063        | -               | -                    |
| 0.6032 | 2120 | 0.0063        | -               | -                    |
| 0.6060 | 2130 | 0.0074        | -               | -                    |
| 0.6088 | 2140 | 0.0067        | -               | -                    |
| 0.6117 | 2150 | 0.006         | -               | -                    |
| 0.6145 | 2160 | 0.0062        | -               | -                    |
| 0.6174 | 2170 | 0.007         | -               | -                    |
| 0.6202 | 2180 | 0.0069        | -               | -                    |
| 0.6231 | 2190 | 0.007         | -               | -                    |
| 0.6259 | 2200 | 0.0065        | -               | -                    |
| 0.6288 | 2210 | 0.0071        | -               | -                    |
| 0.6316 | 2220 | 0.007         | -               | -                    |
| 0.6344 | 2230 | 0.0064        | -               | -                    |
| 0.6373 | 2240 | 0.0061        | -               | -                    |
| 0.6401 | 2250 | 0.0062        | 0.0464          | 0.7935               |
| 0.6430 | 2260 | 0.0069        | -               | -                    |
| 0.6458 | 2270 | 0.0062        | -               | -                    |
| 0.6487 | 2280 | 0.0063        | -               | -                    |
| 0.6515 | 2290 | 0.0063        | -               | -                    |
| 0.6544 | 2300 | 0.006         | -               | -                    |
| 0.6572 | 2310 | 0.0064        | -               | -                    |
| 0.6601 | 2320 | 0.0061        | -               | -                    |
| 0.6629 | 2330 | 0.0065        | -               | -                    |
| 0.6657 | 2340 | 0.0061        | -               | -                    |
| 0.6686 | 2350 | 0.0067        | -               | -                    |
| 0.6714 | 2360 | 0.0066        | -               | -                    |
| 0.6743 | 2370 | 0.0068        | -               | -                    |
| 0.6771 | 2380 | 0.0071        | -               | -                    |
| 0.6800 | 2390 | 0.0064        | -               | -                    |
| 0.6828 | 2400 | 0.0064        | -               | -                    |
| 0.6857 | 2410 | 0.0064        | -               | -                    |
| 0.6885 | 2420 | 0.0064        | -               | -                    |
| 0.6913 | 2430 | 0.0062        | -               | -                    |
| 0.6942 | 2440 | 0.0067        | -               | -                    |
| 0.6970 | 2450 | 0.0062        | -               | -                    |
| 0.6999 | 2460 | 0.0059        | -               | -                    |
| 0.7027 | 2470 | 0.0063        | -               | -                    |
| 0.7056 | 2480 | 0.0055        | -               | -                    |
| 0.7084 | 2490 | 0.0074        | -               | -                    |
| 0.7113 | 2500 | 0.0064        | 0.0488          | 0.7939               |
| 0.7141 | 2510 | 0.006         | -               | -                    |
| 0.7170 | 2520 | 0.0061        | -               | -                    |
| 0.7198 | 2530 | 0.0064        | -               | -                    |
| 0.7226 | 2540 | 0.0059        | -               | -                    |
| 0.7255 | 2550 | 0.0064        | -               | -                    |
| 0.7283 | 2560 | 0.0061        | -               | -                    |
| 0.7312 | 2570 | 0.0062        | -               | -                    |
| 0.7340 | 2580 | 0.0068        | -               | -                    |
| 0.7369 | 2590 | 0.0061        | -               | -                    |
| 0.7397 | 2600 | 0.0065        | -               | -                    |
| 0.7426 | 2610 | 0.0055        | -               | -                    |
| 0.7454 | 2620 | 0.0057        | -               | -                    |
| 0.7482 | 2630 | 0.0064        | -               | -                    |
| 0.7511 | 2640 | 0.0056        | -               | -                    |
| 0.7539 | 2650 | 0.0059        | -               | -                    |
| 0.7568 | 2660 | 0.0059        | -               | -                    |
| 0.7596 | 2670 | 0.0064        | -               | -                    |
| 0.7625 | 2680 | 0.0067        | -               | -                    |
| 0.7653 | 2690 | 0.0062        | -               | -                    |
| 0.7682 | 2700 | 0.0056        | -               | -                    |
| 0.7710 | 2710 | 0.0063        | -               | -                    |
| 0.7739 | 2720 | 0.0064        | -               | -                    |
| 0.7767 | 2730 | 0.0063        | -               | -                    |
| 0.7795 | 2740 | 0.0062        | -               | -                    |
| 0.7824 | 2750 | 0.0058        | 0.0479          | 0.7987               |
| 0.7852 | 2760 | 0.0063        | -               | -                    |
| 0.7881 | 2770 | 0.0061        | -               | -                    |
| 0.7909 | 2780 | 0.0059        | -               | -                    |
| 0.7938 | 2790 | 0.0061        | -               | -                    |
| 0.7966 | 2800 | 0.0059        | -               | -                    |
| 0.7995 | 2810 | 0.0058        | -               | -                    |
| 0.8023 | 2820 | 0.0057        | -               | -                    |
| 0.8051 | 2830 | 0.0059        | -               | -                    |
| 0.8080 | 2840 | 0.0058        | -               | -                    |
| 0.8108 | 2850 | 0.0068        | -               | -                    |
| 0.8137 | 2860 | 0.006         | -               | -                    |
| 0.8165 | 2870 | 0.0058        | -               | -                    |
| 0.8194 | 2880 | 0.0061        | -               | -                    |
| 0.8222 | 2890 | 0.0058        | -               | -                    |
| 0.8251 | 2900 | 0.0055        | -               | -                    |
| 0.8279 | 2910 | 0.006         | -               | -                    |
| 0.8308 | 2920 | 0.0063        | -               | -                    |
| 0.8336 | 2930 | 0.0066        | -               | -                    |
| 0.8364 | 2940 | 0.0059        | -               | -                    |
| 0.8393 | 2950 | 0.0056        | -               | -                    |
| 0.8421 | 2960 | 0.006         | -               | -                    |
| 0.8450 | 2970 | 0.0058        | -               | -                    |
| 0.8478 | 2980 | 0.006         | -               | -                    |
| 0.8507 | 2990 | 0.0056        | -               | -                    |
| 0.8535 | 3000 | 0.0062        | 0.0511          | 0.7996               |
| 0.8564 | 3010 | 0.0059        | -               | -                    |
| 0.8592 | 3020 | 0.0064        | -               | -                    |
| 0.8621 | 3030 | 0.0064        | -               | -                    |
| 0.8649 | 3040 | 0.006         | -               | -                    |
| 0.8677 | 3050 | 0.0059        | -               | -                    |
| 0.8706 | 3060 | 0.0055        | -               | -                    |
| 0.8734 | 3070 | 0.0056        | -               | -                    |
| 0.8763 | 3080 | 0.0058        | -               | -                    |
| 0.8791 | 3090 | 0.0057        | -               | -                    |
| 0.8820 | 3100 | 0.0058        | -               | -                    |
| 0.8848 | 3110 | 0.0062        | -               | -                    |
| 0.8877 | 3120 | 0.0058        | -               | -                    |
| 0.8905 | 3130 | 0.0058        | -               | -                    |
| 0.8933 | 3140 | 0.0055        | -               | -                    |
| 0.8962 | 3150 | 0.0056        | -               | -                    |
| 0.8990 | 3160 | 0.0055        | -               | -                    |
| 0.9019 | 3170 | 0.0054        | -               | -                    |
| 0.9047 | 3180 | 0.0059        | -               | -                    |
| 0.9076 | 3190 | 0.0056        | -               | -                    |
| 0.9104 | 3200 | 0.0057        | -               | -                    |
| 0.9133 | 3210 | 0.0055        | -               | -                    |
| 0.9161 | 3220 | 0.0061        | -               | -                    |
| 0.9190 | 3230 | 0.0055        | -               | -                    |
| 0.9218 | 3240 | 0.0062        | -               | -                    |
| 0.9246 | 3250 | 0.006         | 0.0508          | 0.7989               |
| 0.9275 | 3260 | 0.0058        | -               | -                    |
| 0.9303 | 3270 | 0.0053        | -               | -                    |
| 0.9332 | 3280 | 0.0064        | -               | -                    |
| 0.9360 | 3290 | 0.006         | -               | -                    |
| 0.9389 | 3300 | 0.0057        | -               | -                    |
| 0.9417 | 3310 | 0.0059        | -               | -                    |
| 0.9446 | 3320 | 0.0057        | -               | -                    |
| 0.9474 | 3330 | 0.0056        | -               | -                    |
| 0.9502 | 3340 | 0.0056        | -               | -                    |
| 0.9531 | 3350 | 0.0061        | -               | -                    |
| 0.9559 | 3360 | 0.0053        | -               | -                    |
| 0.9588 | 3370 | 0.0056        | -               | -                    |
| 0.9616 | 3380 | 0.006         | -               | -                    |
| 0.9645 | 3390 | 0.0066        | -               | -                    |
| 0.9673 | 3400 | 0.0062        | -               | -                    |
| 0.9702 | 3410 | 0.0053        | -               | -                    |
| 0.9730 | 3420 | 0.0062        | -               | -                    |
| 0.9759 | 3430 | 0.0057        | -               | -                    |
| 0.9787 | 3440 | 0.0059        | -               | -                    |
| 0.9815 | 3450 | 0.0061        | -               | -                    |
| 0.9844 | 3460 | 0.0057        | -               | -                    |
| 0.9872 | 3470 | 0.0054        | -               | -                    |
| 0.9901 | 3480 | 0.0054        | -               | -                    |
| 0.9929 | 3490 | 0.0057        | -               | -                    |
| 0.9958 | 3500 | 0.0056        | 0.0485          | 0.7958               |
| 0.9986 | 3510 | 0.0053        | -               | -                    |
| 1.0014 | 3520 | 0.0054        | -               | -                    |
| 1.0043 | 3530 | 0.0056        | -               | -                    |
| 1.0071 | 3540 | 0.0055        | -               | -                    |
| 1.0100 | 3550 | 0.0055        | -               | -                    |
| 1.0128 | 3560 | 0.0056        | -               | -                    |
| 1.0156 | 3570 | 0.0058        | -               | -                    |
| 1.0185 | 3580 | 0.0055        | -               | -                    |
| 1.0213 | 3590 | 0.0058        | -               | -                    |
| 1.0242 | 3600 | 0.0058        | -               | -                    |
| 1.0270 | 3610 | 0.0061        | -               | -                    |
| 1.0299 | 3620 | 0.006         | -               | -                    |
| 1.0327 | 3630 | 0.0057        | -               | -                    |
| 1.0356 | 3640 | 0.0054        | -               | -                    |
| 1.0384 | 3650 | 0.0059        | -               | -                    |
| 1.0413 | 3660 | 0.0057        | -               | -                    |
| 1.0441 | 3670 | 0.0057        | -               | -                    |
| 1.0469 | 3680 | 0.0057        | -               | -                    |
| 1.0498 | 3690 | 0.0055        | -               | -                    |
| 1.0526 | 3700 | 0.0057        | -               | -                    |
| 1.0555 | 3710 | 0.0057        | -               | -                    |
| 1.0583 | 3720 | 0.0056        | -               | -                    |
| 1.0612 | 3730 | 0.0057        | -               | -                    |
| 1.0640 | 3740 | 0.005         | -               | -                    |
| 1.0669 | 3750 | 0.0051        | 0.0525          | 0.7979               |
| 1.0697 | 3760 | 0.0052        | -               | -                    |
| 1.0725 | 3770 | 0.0055        | -               | -                    |
| 1.0754 | 3780 | 0.005         | -               | -                    |
| 1.0782 | 3790 | 0.0056        | -               | -                    |
| 1.0811 | 3800 | 0.0054        | -               | -                    |
| 1.0839 | 3810 | 0.0054        | -               | -                    |
| 1.0868 | 3820 | 0.0058        | -               | -                    |
| 1.0896 | 3830 | 0.0049        | -               | -                    |
| 1.0925 | 3840 | 0.0053        | -               | -                    |
| 1.0953 | 3850 | 0.0055        | -               | -                    |
| 1.0982 | 3860 | 0.0057        | -               | -                    |
| 1.1010 | 3870 | 0.0059        | -               | -                    |
| 1.1038 | 3880 | 0.0049        | -               | -                    |
| 1.1067 | 3890 | 0.0051        | -               | -                    |
| 1.1095 | 3900 | 0.0051        | -               | -                    |
| 1.1124 | 3910 | 0.0054        | -               | -                    |
| 1.1152 | 3920 | 0.0051        | -               | -                    |
| 1.1181 | 3930 | 0.0052        | -               | -                    |
| 1.1209 | 3940 | 0.0051        | -               | -                    |
| 1.1238 | 3950 | 0.0055        | -               | -                    |
| 1.1266 | 3960 | 0.0052        | -               | -                    |
| 1.1294 | 3970 | 0.0049        | -               | -                    |
| 1.1323 | 3980 | 0.0054        | -               | -                    |
| 1.1351 | 3990 | 0.0053        | -               | -                    |
| 1.1380 | 4000 | 0.0046        | 0.0475          | 0.8005               |
| 1.1408 | 4010 | 0.0049        | -               | -                    |
| 1.1437 | 4020 | 0.0054        | -               | -                    |
| 1.1465 | 4030 | 0.0054        | -               | -                    |
| 1.1494 | 4040 | 0.0051        | -               | -                    |
| 1.1522 | 4050 | 0.0052        | -               | -                    |
| 1.1551 | 4060 | 0.0052        | -               | -                    |
| 1.1579 | 4070 | 0.0049        | -               | -                    |
| 1.1607 | 4080 | 0.005         | -               | -                    |
| 1.1636 | 4090 | 0.0054        | -               | -                    |
| 1.1664 | 4100 | 0.0049        | -               | -                    |
| 1.1693 | 4110 | 0.0054        | -               | -                    |
| 1.1721 | 4120 | 0.0051        | -               | -                    |
| 1.1750 | 4130 | 0.0048        | -               | -                    |
| 1.1778 | 4140 | 0.0053        | -               | -                    |
| 1.1807 | 4150 | 0.0051        | -               | -                    |
| 1.1835 | 4160 | 0.0045        | -               | -                    |
| 1.1864 | 4170 | 0.0057        | -               | -                    |
| 1.1892 | 4180 | 0.0051        | -               | -                    |
| 1.1920 | 4190 | 0.0051        | -               | -                    |
| 1.1949 | 4200 | 0.0052        | -               | -                    |
| 1.1977 | 4210 | 0.0054        | -               | -                    |
| 1.2006 | 4220 | 0.005         | -               | -                    |
| 1.2034 | 4230 | 0.0046        | -               | -                    |
| 1.2063 | 4240 | 0.0051        | -               | -                    |
| 1.2091 | 4250 | 0.0053        | 0.0470          | 0.7988               |
| 1.2120 | 4260 | 0.0051        | -               | -                    |
| 1.2148 | 4270 | 0.0049        | -               | -                    |
| 1.2176 | 4280 | 0.0047        | -               | -                    |
| 1.2205 | 4290 | 0.0051        | -               | -                    |
| 1.2233 | 4300 | 0.0047        | -               | -                    |
| 1.2262 | 4310 | 0.005         | -               | -                    |
| 1.2290 | 4320 | 0.0051        | -               | -                    |
| 1.2319 | 4330 | 0.0051        | -               | -                    |
| 1.2347 | 4340 | 0.0046        | -               | -                    |
| 1.2376 | 4350 | 0.0052        | -               | -                    |
| 1.2404 | 4360 | 0.0044        | -               | -                    |
| 1.2433 | 4370 | 0.0049        | -               | -                    |
| 1.2461 | 4380 | 0.0051        | -               | -                    |
| 1.2489 | 4390 | 0.0052        | -               | -                    |
| 1.2518 | 4400 | 0.0049        | -               | -                    |
| 1.2546 | 4410 | 0.0051        | -               | -                    |
| 1.2575 | 4420 | 0.005         | -               | -                    |
| 1.2603 | 4430 | 0.0045        | -               | -                    |
| 1.2632 | 4440 | 0.005         | -               | -                    |
| 1.2660 | 4450 | 0.005         | -               | -                    |
| 1.2689 | 4460 | 0.0044        | -               | -                    |
| 1.2717 | 4470 | 0.0051        | -               | -                    |
| 1.2745 | 4480 | 0.005         | -               | -                    |
| 1.2774 | 4490 | 0.0045        | -               | -                    |
| 1.2802 | 4500 | 0.0051        | 0.0550          | 0.8063               |
| 1.2831 | 4510 | 0.0048        | -               | -                    |
| 1.2859 | 4520 | 0.0053        | -               | -                    |
| 1.2888 | 4530 | 0.0045        | -               | -                    |
| 1.2916 | 4540 | 0.0045        | -               | -                    |
| 1.2945 | 4550 | 0.0046        | -               | -                    |
| 1.2973 | 4560 | 0.0047        | -               | -                    |
| 1.3002 | 4570 | 0.0049        | -               | -                    |
| 1.3030 | 4580 | 0.0045        | -               | -                    |
| 1.3058 | 4590 | 0.0046        | -               | -                    |
| 1.3087 | 4600 | 0.0051        | -               | -                    |
| 1.3115 | 4610 | 0.0048        | -               | -                    |
| 1.3144 | 4620 | 0.0045        | -               | -                    |
| 1.3172 | 4630 | 0.0051        | -               | -                    |
| 1.3201 | 4640 | 0.0045        | -               | -                    |
| 1.3229 | 4650 | 0.0047        | -               | -                    |
| 1.3258 | 4660 | 0.0048        | -               | -                    |
| 1.3286 | 4670 | 0.0044        | -               | -                    |
| 1.3314 | 4680 | 0.0043        | -               | -                    |
| 1.3343 | 4690 | 0.0048        | -               | -                    |
| 1.3371 | 4700 | 0.0046        | -               | -                    |
| 1.3400 | 4710 | 0.0042        | -               | -                    |
| 1.3428 | 4720 | 0.0043        | -               | -                    |
| 1.3457 | 4730 | 0.0048        | -               | -                    |
| 1.3485 | 4740 | 0.005         | -               | -                    |
| 1.3514 | 4750 | 0.0044        | 0.0447          | 0.8075               |
| 1.3542 | 4760 | 0.0045        | -               | -                    |
| 1.3571 | 4770 | 0.0046        | -               | -                    |
| 1.3599 | 4780 | 0.0045        | -               | -                    |
| 1.3627 | 4790 | 0.0044        | -               | -                    |
| 1.3656 | 4800 | 0.004         | -               | -                    |
| 1.3684 | 4810 | 0.0044        | -               | -                    |
| 1.3713 | 4820 | 0.0045        | -               | -                    |
| 1.3741 | 4830 | 0.0041        | -               | -                    |
| 1.3770 | 4840 | 0.0043        | -               | -                    |
| 1.3798 | 4850 | 0.0042        | -               | -                    |
| 1.3827 | 4860 | 0.0044        | -               | -                    |
| 1.3855 | 4870 | 0.0047        | -               | -                    |
| 1.3883 | 4880 | 0.0041        | -               | -                    |
| 1.3912 | 4890 | 0.0045        | -               | -                    |
| 1.3940 | 4900 | 0.0047        | -               | -                    |
| 1.3969 | 4910 | 0.0042        | -               | -                    |
| 1.3997 | 4920 | 0.0047        | -               | -                    |
| 1.4026 | 4930 | 0.0045        | -               | -                    |
| 1.4054 | 4940 | 0.0048        | -               | -                    |
| 1.4083 | 4950 | 0.0042        | -               | -                    |
| 1.4111 | 4960 | 0.0043        | -               | -                    |
| 1.4140 | 4970 | 0.0046        | -               | -                    |
| 1.4168 | 4980 | 0.0046        | -               | -                    |
| 1.4196 | 4990 | 0.0041        | -               | -                    |
| 1.4225 | 5000 | 0.0044        | 0.0551          | 0.8041               |
| 1.4253 | 5010 | 0.0043        | -               | -                    |
| 1.4282 | 5020 | 0.0045        | -               | -                    |
| 1.4310 | 5030 | 0.0047        | -               | -                    |
| 1.4339 | 5040 | 0.0046        | -               | -                    |
| 1.4367 | 5050 | 0.0048        | -               | -                    |
| 1.4396 | 5060 | 0.0046        | -               | -                    |
| 1.4424 | 5070 | 0.0044        | -               | -                    |
| 1.4453 | 5080 | 0.0039        | -               | -                    |
| 1.4481 | 5090 | 0.0042        | -               | -                    |
| 1.4509 | 5100 | 0.0044        | -               | -                    |
| 1.4538 | 5110 | 0.0043        | -               | -                    |
| 1.4566 | 5120 | 0.0043        | -               | -                    |
| 1.4595 | 5130 | 0.0042        | -               | -                    |
| 1.4623 | 5140 | 0.0046        | -               | -                    |
| 1.4652 | 5150 | 0.0043        | -               | -                    |
| 1.4680 | 5160 | 0.0043        | -               | -                    |
| 1.4709 | 5170 | 0.0046        | -               | -                    |
| 1.4737 | 5180 | 0.0045        | -               | -                    |
| 1.4765 | 5190 | 0.0045        | -               | -                    |
| 1.4794 | 5200 | 0.0041        | -               | -                    |
| 1.4822 | 5210 | 0.0044        | -               | -                    |
| 1.4851 | 5220 | 0.0045        | -               | -                    |
| 1.4879 | 5230 | 0.0043        | -               | -                    |
| 1.4908 | 5240 | 0.0043        | -               | -                    |
| 1.4936 | 5250 | 0.0047        | 0.0529          | 0.8067               |
| 1.4965 | 5260 | 0.0042        | -               | -                    |
| 1.4993 | 5270 | 0.0042        | -               | -                    |
| 1.5022 | 5280 | 0.004         | -               | -                    |
| 1.5050 | 5290 | 0.0042        | -               | -                    |
| 1.5078 | 5300 | 0.004         | -               | -                    |
| 1.5107 | 5310 | 0.004         | -               | -                    |
| 1.5135 | 5320 | 0.004         | -               | -                    |
| 1.5164 | 5330 | 0.0043        | -               | -                    |
| 1.5192 | 5340 | 0.004         | -               | -                    |
| 1.5221 | 5350 | 0.0041        | -               | -                    |
| 1.5249 | 5360 | 0.0041        | -               | -                    |
| 1.5278 | 5370 | 0.004         | -               | -                    |
| 1.5306 | 5380 | 0.004         | -               | -                    |
| 1.5334 | 5390 | 0.0042        | -               | -                    |
| 1.5363 | 5400 | 0.0043        | -               | -                    |
| 1.5391 | 5410 | 0.0044        | -               | -                    |
| 1.5420 | 5420 | 0.0043        | -               | -                    |
| 1.5448 | 5430 | 0.004         | -               | -                    |
| 1.5477 | 5440 | 0.0043        | -               | -                    |
| 1.5505 | 5450 | 0.0039        | -               | -                    |
| 1.5534 | 5460 | 0.004         | -               | -                    |
| 1.5562 | 5470 | 0.0038        | -               | -                    |
| 1.5591 | 5480 | 0.0041        | -               | -                    |
| 1.5619 | 5490 | 0.0043        | -               | -                    |
| 1.5647 | 5500 | 0.0038        | 0.0489          | 0.8012               |
| 1.5676 | 5510 | 0.0037        | -               | -                    |
| 1.5704 | 5520 | 0.0047        | -               | -                    |
| 1.5733 | 5530 | 0.004         | -               | -                    |
| 1.5761 | 5540 | 0.0043        | -               | -                    |
| 1.5790 | 5550 | 0.0039        | -               | -                    |
| 1.5818 | 5560 | 0.004         | -               | -                    |
| 1.5847 | 5570 | 0.0039        | -               | -                    |
| 1.5875 | 5580 | 0.0038        | -               | -                    |
| 1.5903 | 5590 | 0.0042        | -               | -                    |
| 1.5932 | 5600 | 0.004         | -               | -                    |
| 1.5960 | 5610 | 0.0042        | -               | -                    |
| 1.5989 | 5620 | 0.0039        | -               | -                    |
| 1.6017 | 5630 | 0.0041        | -               | -                    |
| 1.6046 | 5640 | 0.004         | -               | -                    |
| 1.6074 | 5650 | 0.0042        | -               | -                    |
| 1.6103 | 5660 | 0.004         | -               | -                    |
| 1.6131 | 5670 | 0.0037        | -               | -                    |
| 1.6160 | 5680 | 0.0041        | -               | -                    |
| 1.6188 | 5690 | 0.0041        | -               | -                    |
| 1.6216 | 5700 | 0.0039        | -               | -                    |
| 1.6245 | 5710 | 0.0042        | -               | -                    |
| 1.6273 | 5720 | 0.0038        | -               | -                    |
| 1.6302 | 5730 | 0.0042        | -               | -                    |
| 1.6330 | 5740 | 0.0037        | -               | -                    |
| 1.6359 | 5750 | 0.0037        | 0.0494          | 0.7999               |
| 1.6387 | 5760 | 0.0037        | -               | -                    |
| 1.6416 | 5770 | 0.0038        | -               | -                    |
| 1.6444 | 5780 | 0.0038        | -               | -                    |
| 1.6472 | 5790 | 0.0038        | -               | -                    |
| 1.6501 | 5800 | 0.004         | -               | -                    |
| 1.6529 | 5810 | 0.0038        | -               | -                    |
| 1.6558 | 5820 | 0.004         | -               | -                    |
| 1.6586 | 5830 | 0.0039        | -               | -                    |
| 1.6615 | 5840 | 0.0036        | -               | -                    |
| 1.6643 | 5850 | 0.0038        | -               | -                    |
| 1.6672 | 5860 | 0.0036        | -               | -                    |
| 1.6700 | 5870 | 0.004         | -               | -                    |
| 1.6729 | 5880 | 0.004         | -               | -                    |
| 1.6757 | 5890 | 0.004         | -               | -                    |
| 1.6785 | 5900 | 0.0041        | -               | -                    |
| 1.6814 | 5910 | 0.0037        | -               | -                    |
| 1.6842 | 5920 | 0.0036        | -               | -                    |
| 1.6871 | 5930 | 0.0037        | -               | -                    |
| 1.6899 | 5940 | 0.0037        | -               | -                    |
| 1.6928 | 5950 | 0.0036        | -               | -                    |
| 1.6956 | 5960 | 0.0038        | -               | -                    |
| 1.6985 | 5970 | 0.0034        | -               | -                    |
| 1.7013 | 5980 | 0.0035        | -               | -                    |
| 1.7042 | 5990 | 0.0036        | -               | -                    |
| 1.7070 | 6000 | 0.004         | 0.0525          | 0.8026               |
| 1.7098 | 6010 | 0.0041        | -               | -                    |
| 1.7127 | 6020 | 0.0036        | -               | -                    |
| 1.7155 | 6030 | 0.004         | -               | -                    |
| 1.7184 | 6040 | 0.0039        | -               | -                    |
| 1.7212 | 6050 | 0.0036        | -               | -                    |
| 1.7241 | 6060 | 0.0038        | -               | -                    |
| 1.7269 | 6070 | 0.004         | -               | -                    |
| 1.7298 | 6080 | 0.0036        | -               | -                    |
| 1.7326 | 6090 | 0.0037        | -               | -                    |
| 1.7354 | 6100 | 0.0039        | -               | -                    |
| 1.7383 | 6110 | 0.0036        | -               | -                    |
| 1.7411 | 6120 | 0.0036        | -               | -                    |
| 1.7440 | 6130 | 0.0034        | -               | -                    |
| 1.7468 | 6140 | 0.0038        | -               | -                    |
| 1.7497 | 6150 | 0.0036        | -               | -                    |
| 1.7525 | 6160 | 0.0035        | -               | -                    |
| 1.7554 | 6170 | 0.0035        | -               | -                    |
| 1.7582 | 6180 | 0.0038        | -               | -                    |
| 1.7611 | 6190 | 0.0038        | -               | -                    |
| 1.7639 | 6200 | 0.0038        | -               | -                    |
| 1.7667 | 6210 | 0.0032        | -               | -                    |
| 1.7696 | 6220 | 0.0036        | -               | -                    |
| 1.7724 | 6230 | 0.0037        | -               | -                    |
| 1.7753 | 6240 | 0.0038        | -               | -                    |
| 1.7781 | 6250 | 0.0037        | 0.0515          | 0.7994               |
| 1.7810 | 6260 | 0.0036        | -               | -                    |
| 1.7838 | 6270 | 0.0035        | -               | -                    |
| 1.7867 | 6280 | 0.0039        | -               | -                    |
| 1.7895 | 6290 | 0.0037        | -               | -                    |
| 1.7923 | 6300 | 0.0036        | -               | -                    |
| 1.7952 | 6310 | 0.0036        | -               | -                    |
| 1.7980 | 6320 | 0.0037        | -               | -                    |
| 1.8009 | 6330 | 0.0033        | -               | -                    |
| 1.8037 | 6340 | 0.0033        | -               | -                    |
| 1.8066 | 6350 | 0.0035        | -               | -                    |
| 1.8094 | 6360 | 0.0034        | -               | -                    |
| 1.8123 | 6370 | 0.0038        | -               | -                    |
| 1.8151 | 6380 | 0.0035        | -               | -                    |
| 1.8180 | 6390 | 0.0035        | -               | -                    |
| 1.8208 | 6400 | 0.0036        | -               | -                    |
| 1.8236 | 6410 | 0.0034        | -               | -                    |
| 1.8265 | 6420 | 0.0033        | -               | -                    |
| 1.8293 | 6430 | 0.0038        | -               | -                    |
| 1.8322 | 6440 | 0.0036        | -               | -                    |
| 1.8350 | 6450 | 0.0037        | -               | -                    |
| 1.8379 | 6460 | 0.0034        | -               | -                    |
| 1.8407 | 6470 | 0.0034        | -               | -                    |
| 1.8436 | 6480 | 0.0036        | -               | -                    |
| 1.8464 | 6490 | 0.0037        | -               | -                    |
| 1.8492 | 6500 | 0.0031        | 0.0532          | 0.8034               |
| 1.8521 | 6510 | 0.0035        | -               | -                    |
| 1.8549 | 6520 | 0.0036        | -               | -                    |
| 1.8578 | 6530 | 0.0037        | -               | -                    |
| 1.8606 | 6540 | 0.0038        | -               | -                    |
| 1.8635 | 6550 | 0.0035        | -               | -                    |
| 1.8663 | 6560 | 0.0037        | -               | -                    |
| 1.8692 | 6570 | 0.0032        | -               | -                    |
| 1.8720 | 6580 | 0.0037        | -               | -                    |
| 1.8749 | 6590 | 0.0034        | -               | -                    |
| 1.8777 | 6600 | 0.0032        | -               | -                    |
| 1.8805 | 6610 | 0.0033        | -               | -                    |
| 1.8834 | 6620 | 0.0035        | -               | -                    |
| 1.8862 | 6630 | 0.0034        | -               | -                    |
| 1.8891 | 6640 | 0.0032        | -               | -                    |
| 1.8919 | 6650 | 0.0036        | -               | -                    |
| 1.8948 | 6660 | 0.0032        | -               | -                    |
| 1.8976 | 6670 | 0.0032        | -               | -                    |
| 1.9005 | 6680 | 0.003         | -               | -                    |
| 1.9033 | 6690 | 0.0032        | -               | -                    |
| 1.9061 | 6700 | 0.0034        | -               | -                    |
| 1.9090 | 6710 | 0.0034        | -               | -                    |
| 1.9118 | 6720 | 0.0032        | -               | -                    |
| 1.9147 | 6730 | 0.0036        | -               | -                    |
| 1.9175 | 6740 | 0.0036        | -               | -                    |
| 1.9204 | 6750 | 0.0034        | 0.0494          | 0.8002               |
| 1.9232 | 6760 | 0.0036        | -               | -                    |
| 1.9261 | 6770 | 0.0034        | -               | -                    |
| 1.9289 | 6780 | 0.0032        | -               | -                    |
| 1.9318 | 6790 | 0.0032        | -               | -                    |
| 1.9346 | 6800 | 0.0036        | -               | -                    |
| 1.9374 | 6810 | 0.0032        | -               | -                    |
| 1.9403 | 6820 | 0.0033        | -               | -                    |
| 1.9431 | 6830 | 0.0031        | -               | -                    |
| 1.9460 | 6840 | 0.0034        | -               | -                    |
| 1.9488 | 6850 | 0.0033        | -               | -                    |
| 1.9517 | 6860 | 0.0033        | -               | -                    |
| 1.9545 | 6870 | 0.003         | -               | -                    |
| 1.9574 | 6880 | 0.0031        | -               | -                    |
| 1.9602 | 6890 | 0.0035        | -               | -                    |
| 1.9630 | 6900 | 0.0033        | -               | -                    |
| 1.9659 | 6910 | 0.0034        | -               | -                    |
| 1.9687 | 6920 | 0.0033        | -               | -                    |
| 1.9716 | 6930 | 0.003         | -               | -                    |
| 1.9744 | 6940 | 0.0034        | -               | -                    |
| 1.9773 | 6950 | 0.0032        | -               | -                    |
| 1.9801 | 6960 | 0.0031        | -               | -                    |
| 1.9830 | 6970 | 0.0033        | -               | -                    |
| 1.9858 | 6980 | 0.0032        | -               | -                    |
| 1.9887 | 6990 | 0.0031        | -               | -                    |
| 1.9915 | 7000 | 0.0033        | 0.0492          | 0.8008               |
| 1.9943 | 7010 | 0.0033        | -               | -                    |
| 1.9972 | 7020 | 0.0031        | -               | -                    |

</details>

### Framework Versions
- Python: 3.11.10
- Sentence Transformers: 3.3.1
- Transformers: 4.48.0.dev0
- PyTorch: 2.5.1+cu121
- Accelerate: 1.1.0
- Datasets: 3.1.0
- Tokenizers: 0.21.0

## 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",
}
```

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