sentence-transformers safetensors bert sentence-similarity feature-extraction generated_from_trainer loss:CosineSimilarityLoss arxiv:1908.10084 base_model:Snowflake/snowflake-arctic-embed-s base_model:finetune:Snowflake/snowflake-arctic-embed-s autotrain_compatible text-embeddings-inference endpoints_compatible region:us
---
base_model: Snowflake/snowflake-arctic-embed-s
library_name: sentence-transformers
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- sentence-similarity
- feature-extraction
- generated_from_trainer
- loss:CosineSimilarityLoss
---

# SentenceTransformer based on Snowflake/snowflake-arctic-embed-s

This is a [sentence-transformers](https://www.SBERT.net) model finetuned from [Snowflake/snowflake-arctic-embed-s](https://huggingface.co/Snowflake/snowflake-arctic-embed-s) on the json dataset. It maps sentences & paragraphs to a 384-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:** [Snowflake/snowflake-arctic-embed-s](https://huggingface.co/Snowflake/snowflake-arctic-embed-s) <!-- at revision e596f507467533e48a2e17c007f0e1dacc837b33 -->
- **Maximum Sequence Length:** 512 tokens
- **Output Dimensionality:** 384 dimensions
- **Similarity Function:** Cosine Similarity
- **Training Dataset:**
    - json
<!-- - **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: BertModel 
  (1): Pooling({'word_embedding_dimension': 384, 'pooling_mode_cls_token': True, 'pooling_mode_mean_tokens': False, 'pooling_mode_max_tokens': False, 'pooling_mode_mean_sqrt_len_tokens': False, 'pooling_mode_weightedmean_tokens': False, 'pooling_mode_lasttoken': False, 'include_prompt': True})
  (2): Normalize()
)
```

## Usage

### Direct Usage (Sentence Transformers)

First install the Sentence Transformers library:

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

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

# Download from the 🤗 Hub
model = SentenceTransformer("LucaZilli/arctic-s-enhanced")
# Run inference
sentences = [
    'The weather is lovely today.',
    "It's so sunny outside!",
    'He drove to the stadium.',
]
embeddings = model.encode(sentences)
print(embeddings.shape)
# [3, 384]

# 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.*
-->

<!--
## 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

#### json

* Dataset: json
* Columns: <code>sentence1</code>, <code>sentence2</code>, <code>score</code>, and <code>split</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

#### json

* Dataset: json
* Columns: <code>sentence1</code>, <code>sentence2</code>, <code>score</code>, and <code>split</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

- `eval_strategy`: steps
- `per_device_train_batch_size`: 12
- `per_device_eval_batch_size`: 12
- `learning_rate`: 4.000000000000001e-06
- `max_steps`: 9291
- `warmup_ratio`: 0.1
- `fp16`: True
- `load_best_model_at_end`: True

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

- `overwrite_output_dir`: False
- `do_predict`: False
- `eval_strategy`: steps
- `prediction_loss_only`: True
- `per_device_train_batch_size`: 12
- `per_device_eval_batch_size`: 12
- `per_gpu_train_batch_size`: None
- `per_gpu_eval_batch_size`: None
- `gradient_accumulation_steps`: 1
- `eval_accumulation_steps`: None
- `torch_empty_cache_steps`: None
- `learning_rate`: 4.000000000000001e-06
- `weight_decay`: 0.0
- `adam_beta1`: 0.9
- `adam_beta2`: 0.999
- `adam_epsilon`: 1e-08
- `max_grad_norm`: 1.0
- `num_train_epochs`: 3
- `max_steps`: 9291
- `lr_scheduler_type`: linear
- `lr_scheduler_kwargs`: {}
- `warmup_ratio`: 0.1
- `warmup_steps`: 0
- `log_level`: passive
- `log_level_replica`: warning
- `log_on_each_node`: True
- `logging_nan_inf_filter`: True
- `save_safetensors`: True
- `save_on_each_node`: False
- `save_only_model`: False
- `restore_callback_states_from_checkpoint`: False
- `no_cuda`: False
- `use_cpu`: False
- `use_mps_device`: False
- `seed`: 42
- `data_seed`: None
- `jit_mode_eval`: False
- `use_ipex`: False
- `bf16`: False
- `fp16`: True
- `fp16_opt_level`: O1
- `half_precision_backend`: auto
- `bf16_full_eval`: False
- `fp16_full_eval`: False
- `tf32`: None
- `local_rank`: 0
- `ddp_backend`: None
- `tpu_num_cores`: None
- `tpu_metrics_debug`: False
- `debug`: []
- `dataloader_drop_last`: False
- `dataloader_num_workers`: 0
- `dataloader_prefetch_factor`: None
- `past_index`: -1
- `disable_tqdm`: False
- `remove_unused_columns`: True
- `label_names`: None
- `load_best_model_at_end`: True
- `ignore_data_skip`: False
- `fsdp`: []
- `fsdp_min_num_params`: 0
- `fsdp_config`: {'min_num_params': 0, 'xla': False, 'xla_fsdp_v2': False, 'xla_fsdp_grad_ckpt': False}
- `fsdp_transformer_layer_cls_to_wrap`: None
- `accelerator_config`: {'split_batches': False, 'dispatch_batches': None, 'even_batches': True, 'use_seedable_sampler': True, 'non_blocking': False, 'gradient_accumulation_kwargs': None}
- `deepspeed`: None
- `label_smoothing_factor`: 0.0
- `optim`: adamw_torch
- `optim_args`: None
- `adafactor`: False
- `group_by_length`: False
- `length_column_name`: length
- `ddp_find_unused_parameters`: None
- `ddp_bucket_cap_mb`: None
- `ddp_broadcast_buffers`: False
- `dataloader_pin_memory`: True
- `dataloader_persistent_workers`: False
- `skip_memory_metrics`: True
- `use_legacy_prediction_loop`: False
- `push_to_hub`: False
- `resume_from_checkpoint`: None
- `hub_model_id`: None
- `hub_strategy`: every_save
- `hub_private_repo`: 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`: batch_sampler
- `multi_dataset_batch_sampler`: proportional

</details>

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

| Epoch     | Step     | Training Loss | Validation Loss |
|:---------:|:--------:|:-------------:|:---------------:|
| 0.0011    | 10       | 0.0855        | -               |
| 0.0022    | 20       | 0.0795        | -               |
| 0.0032    | 30       | 0.0832        | -               |
| 0.0043    | 40       | 0.071         | -               |
| 0.0054    | 50       | 0.0765        | -               |
| 0.0065    | 60       | 0.0681        | -               |
| 0.0075    | 70       | 0.059         | -               |
| 0.0086    | 80       | 0.0755        | -               |
| 0.0097    | 90       | 0.0614        | -               |
| 0.0108    | 100      | 0.0724        | -               |
| 0.0118    | 110      | 0.0808        | -               |
| 0.0129    | 120      | 0.0906        | -               |
| 0.0140    | 130      | 0.0621        | -               |
| 0.0151    | 140      | 0.0698        | -               |
| 0.0161    | 150      | 0.0695        | 0.0876          |
| 0.0172    | 160      | 0.0657        | -               |
| 0.0183    | 170      | 0.0806        | -               |
| 0.0194    | 180      | 0.0772        | -               |
| 0.0204    | 190      | 0.0704        | -               |
| 0.0215    | 200      | 0.0736        | -               |
| 0.0226    | 210      | 0.0788        | -               |
| 0.0237    | 220      | 0.0701        | -               |
| 0.0248    | 230      | 0.083         | -               |
| 0.0258    | 240      | 0.0722        | -               |
| 0.0269    | 250      | 0.073         | -               |
| 0.0280    | 260      | 0.0742        | -               |
| 0.0291    | 270      | 0.0853        | -               |
| 0.0301    | 280      | 0.0736        | -               |
| 0.0312    | 290      | 0.0652        | -               |
| 0.0323    | 300      | 0.0799        | 0.0829          |
| 0.0334    | 310      | 0.0723        | -               |
| 0.0344    | 320      | 0.087         | -               |
| 0.0355    | 330      | 0.0675        | -               |
| 0.0366    | 340      | 0.0688        | -               |
| 0.0377    | 350      | 0.06          | -               |
| 0.0387    | 360      | 0.0682        | -               |
| 0.0398    | 370      | 0.057         | -               |
| 0.0409    | 380      | 0.0696        | -               |
| 0.0420    | 390      | 0.0748        | -               |
| 0.0431    | 400      | 0.0683        | -               |
| 0.0441    | 410      | 0.0725        | -               |
| 0.0452    | 420      | 0.0676        | -               |
| 0.0463    | 430      | 0.0636        | -               |
| 0.0474    | 440      | 0.0721        | -               |
| 0.0484    | 450      | 0.0664        | 0.0840          |
| 0.0495    | 460      | 0.0745        | -               |
| 0.0506    | 470      | 0.076         | -               |
| 0.0517    | 480      | 0.0792        | -               |
| 0.0527    | 490      | 0.0606        | -               |
| 0.0538    | 500      | 0.0646        | -               |
| 0.0549    | 510      | 0.0764        | -               |
| 0.0560    | 520      | 0.0818        | -               |
| 0.0570    | 530      | 0.0743        | -               |
| 0.0581    | 540      | 0.0685        | -               |
| 0.0592    | 550      | 0.0627        | -               |
| 0.0603    | 560      | 0.0816        | -               |
| 0.0613    | 570      | 0.078         | -               |
| 0.0624    | 580      | 0.0637        | -               |
| 0.0635    | 590      | 0.0768        | -               |
| 0.0646    | 600      | 0.0658        | 0.0754          |
| 0.0657    | 610      | 0.0655        | -               |
| 0.0667    | 620      | 0.068         | -               |
| 0.0678    | 630      | 0.0731        | -               |
| 0.0689    | 640      | 0.068         | -               |
| 0.0700    | 650      | 0.0669        | -               |
| 0.0710    | 660      | 0.0823        | -               |
| 0.0721    | 670      | 0.077         | -               |
| 0.0732    | 680      | 0.0736        | -               |
| 0.0743    | 690      | 0.0612        | -               |
| 0.0753    | 700      | 0.0792        | -               |
| 0.0764    | 710      | 0.0688        | -               |
| 0.0775    | 720      | 0.0771        | -               |
| 0.0786    | 730      | 0.0646        | -               |
| 0.0796    | 740      | 0.076         | -               |
| 0.0807    | 750      | 0.0779        | 0.0731          |
| 0.0818    | 760      | 0.0632        | -               |
| 0.0829    | 770      | 0.0749        | -               |
| 0.0840    | 780      | 0.0795        | -               |
| 0.0850    | 790      | 0.075         | -               |
| 0.0861    | 800      | 0.0746        | -               |
| 0.0872    | 810      | 0.0601        | -               |
| 0.0883    | 820      | 0.0807        | -               |
| 0.0893    | 830      | 0.0765        | -               |
| 0.0904    | 840      | 0.0657        | -               |
| 0.0915    | 850      | 0.066         | -               |
| 0.0926    | 860      | 0.0873        | -               |
| 0.0936    | 870      | 0.102         | -               |
| 0.0947    | 880      | 0.0799        | -               |
| 0.0958    | 890      | 0.0488        | -               |
| 0.0969    | 900      | 0.0527        | 0.0767          |
| 0.0979    | 910      | 0.045         | -               |
| 0.0990    | 920      | 0.0489        | -               |
| 0.1001    | 930      | 0.0417        | -               |
| 0.1012    | 940      | 0.0408        | -               |
| 0.1022    | 950      | 0.0465        | -               |
| 0.1033    | 960      | 0.0478        | -               |
| 0.1044    | 970      | 0.0481        | -               |
| 0.1055    | 980      | 0.0522        | -               |
| 0.1066    | 990      | 0.0467        | -               |
| 0.1076    | 1000     | 0.0501        | -               |
| 0.1087    | 1010     | 0.0481        | -               |
| 0.1098    | 1020     | 0.0497        | -               |
| 0.1109    | 1030     | 0.0574        | -               |
| 0.1119    | 1040     | 0.0494        | -               |
| 0.1130    | 1050     | 0.0477        | 0.0796          |
| 0.1141    | 1060     | 0.0452        | -               |
| 0.1152    | 1070     | 0.051         | -               |
| 0.1162    | 1080     | 0.0703        | -               |
| 0.1173    | 1090     | 0.083         | -               |
| 0.1184    | 1100     | 0.0632        | -               |
| 0.1195    | 1110     | 0.0715        | -               |
| 0.1205    | 1120     | 0.0722        | -               |
| 0.1216    | 1130     | 0.0558        | -               |
| 0.1227    | 1140     | 0.0554        | -               |
| 0.1238    | 1150     | 0.0581        | -               |
| 0.1249    | 1160     | 0.0561        | -               |
| 0.1259    | 1170     | 0.0612        | -               |
| 0.1270    | 1180     | 0.0636        | -               |
| 0.1281    | 1190     | 0.0679        | -               |
| 0.1292    | 1200     | 0.0568        | 0.0621          |
| 0.1302    | 1210     | 0.047         | -               |
| 0.1313    | 1220     | 0.0632        | -               |
| 0.1324    | 1230     | 0.06          | -               |
| 0.1335    | 1240     | 0.0445        | -               |
| 0.1345    | 1250     | 0.0657        | -               |
| 0.1356    | 1260     | 0.0434        | -               |
| 0.1367    | 1270     | 0.0654        | -               |
| 0.1378    | 1280     | 0.0677        | -               |
| 0.1388    | 1290     | 0.0639        | -               |
| 0.1399    | 1300     | 0.045         | -               |
| 0.1410    | 1310     | 0.0564        | -               |
| 0.1421    | 1320     | 0.0707        | -               |
| 0.1431    | 1330     | 0.0635        | -               |
| 0.1442    | 1340     | 0.0544        | -               |
| 0.1453    | 1350     | 0.0414        | 0.0592          |
| 0.1464    | 1360     | 0.0546        | -               |
| 0.1475    | 1370     | 0.0494        | -               |
| 0.1485    | 1380     | 0.0474        | -               |
| 0.1496    | 1390     | 0.0512        | -               |
| 0.1507    | 1400     | 0.062         | -               |
| 0.1518    | 1410     | 0.0519        | -               |
| 0.1528    | 1420     | 0.0495        | -               |
| 0.1539    | 1430     | 0.0507        | -               |
| 0.1550    | 1440     | 0.0569        | -               |
| 0.1561    | 1450     | 0.0573        | -               |
| 0.1571    | 1460     | 0.0496        | -               |
| 0.1582    | 1470     | 0.0559        | -               |
| 0.1593    | 1480     | 0.0543        | -               |
| 0.1604    | 1490     | 0.0529        | -               |
| 0.1614    | 1500     | 0.055         | 0.0589          |
| 0.1625    | 1510     | 0.0442        | -               |
| 0.1636    | 1520     | 0.0551        | -               |
| 0.1647    | 1530     | 0.0502        | -               |
| 0.1658    | 1540     | 0.0571        | -               |
| 0.1668    | 1550     | 0.0452        | -               |
| 0.1679    | 1560     | 0.0563        | -               |
| 0.1690    | 1570     | 0.0502        | -               |
| 0.1701    | 1580     | 0.0527        | -               |
| 0.1711    | 1590     | 0.0491        | -               |
| 0.1722    | 1600     | 0.0407        | -               |
| 0.1733    | 1610     | 0.0455        | -               |
| 0.1744    | 1620     | 0.0472        | -               |
| 0.1754    | 1630     | 0.046         | -               |
| 0.1765    | 1640     | 0.0493        | -               |
| 0.1776    | 1650     | 0.0525        | 0.0517          |
| 0.1787    | 1660     | 0.0507        | -               |
| 0.1797    | 1670     | 0.048         | -               |
| 0.1808    | 1680     | 0.0556        | -               |
| 0.1819    | 1690     | 0.0487        | -               |
| 0.1830    | 1700     | 0.0457        | -               |
| 0.1840    | 1710     | 0.0481        | -               |
| 0.1851    | 1720     | 0.0453        | -               |
| 0.1862    | 1730     | 0.0382        | -               |
| 0.1873    | 1740     | 0.0399        | -               |
| 0.1884    | 1750     | 0.0372        | -               |
| 0.1894    | 1760     | 0.0454        | -               |
| 0.1905    | 1770     | 0.0443        | -               |
| 0.1916    | 1780     | 0.0404        | -               |
| 0.1927    | 1790     | 0.0438        | -               |
| 0.1937    | 1800     | 0.0371        | 0.0532          |
| 0.1948    | 1810     | 0.0372        | -               |
| 0.1959    | 1820     | 0.0322        | -               |
| 0.1970    | 1830     | 0.0348        | -               |
| 0.1980    | 1840     | 0.0381        | -               |
| 0.1991    | 1850     | 0.0344        | -               |
| 0.2002    | 1860     | 0.043         | -               |
| 0.2013    | 1870     | 0.0437        | -               |
| 0.2023    | 1880     | 0.045         | -               |
| 0.2034    | 1890     | 0.0466        | -               |
| 0.2045    | 1900     | 0.0342        | -               |
| 0.2056    | 1910     | 0.0367        | -               |
| 0.2067    | 1920     | 0.04          | -               |
| 0.2077    | 1930     | 0.0308        | -               |
| 0.2088    | 1940     | 0.0391        | -               |
| 0.2099    | 1950     | 0.044         | 0.0546          |
| 0.2110    | 1960     | 0.0374        | -               |
| 0.2120    | 1970     | 0.0304        | -               |
| 0.2131    | 1980     | 0.0331        | -               |
| 0.2142    | 1990     | 0.0351        | -               |
| 0.2153    | 2000     | 0.0329        | -               |
| 0.2163    | 2010     | 0.0269        | -               |
| 0.2174    | 2020     | 0.0313        | -               |
| 0.2185    | 2030     | 0.0298        | -               |
| 0.2196    | 2040     | 0.0305        | -               |
| 0.2206    | 2050     | 0.0352        | -               |
| 0.2217    | 2060     | 0.032         | -               |
| 0.2228    | 2070     | 0.0375        | -               |
| 0.2239    | 2080     | 0.0263        | -               |
| 0.2249    | 2090     | 0.0299        | -               |
| 0.2260    | 2100     | 0.0339        | 0.0567          |
| 0.2271    | 2110     | 0.0347        | -               |
| 0.2282    | 2120     | 0.0302        | -               |
| 0.2293    | 2130     | 0.0392        | -               |
| 0.2303    | 2140     | 0.0333        | -               |
| 0.2314    | 2150     | 0.0329        | -               |
| 0.2325    | 2160     | 0.04          | -               |
| 0.2336    | 2170     | 0.0304        | -               |
| 0.2346    | 2180     | 0.0373        | -               |
| 0.2357    | 2190     | 0.0346        | -               |
| 0.2368    | 2200     | 0.0306        | -               |
| 0.2379    | 2210     | 0.0325        | -               |
| 0.2389    | 2220     | 0.0285        | -               |
| 0.2400    | 2230     | 0.0327        | -               |
| 0.2411    | 2240     | 0.0337        | -               |
| 0.2422    | 2250     | 0.0236        | 0.0575          |
| 0.2432    | 2260     | 0.0276        | -               |
| 0.2443    | 2270     | 0.033         | -               |
| 0.2454    | 2280     | 0.0276        | -               |
| 0.2465    | 2290     | 0.0284        | -               |
| 0.2476    | 2300     | 0.0349        | -               |
| 0.2486    | 2310     | 0.0297        | -               |
| 0.2497    | 2320     | 0.0288        | -               |
| 0.2508    | 2330     | 0.0277        | -               |
| 0.2519    | 2340     | 0.032         | -               |
| 0.2529    | 2350     | 0.0301        | -               |
| 0.2540    | 2360     | 0.0247        | -               |
| 0.2551    | 2370     | 0.0318        | -               |
| 0.2562    | 2380     | 0.0291        | -               |
| 0.2572    | 2390     | 0.0296        | -               |
| 0.2583    | 2400     | 0.0279        | 0.0584          |
| 0.2594    | 2410     | 0.0425        | -               |
| 0.2605    | 2420     | 0.0278        | -               |
| 0.2615    | 2430     | 0.026         | -               |
| 0.2626    | 2440     | 0.0292        | -               |
| 0.2637    | 2450     | 0.0327        | -               |
| 0.2648    | 2460     | 0.0243        | -               |
| 0.2658    | 2470     | 0.0302        | -               |
| 0.2669    | 2480     | 0.0321        | -               |
| 0.2680    | 2490     | 0.0262        | -               |
| 0.2691    | 2500     | 0.0313        | -               |
| 0.2702    | 2510     | 0.0272        | -               |
| 0.2712    | 2520     | 0.0323        | -               |
| 0.2723    | 2530     | 0.0314        | -               |
| 0.2734    | 2540     | 0.029         | -               |
| 0.2745    | 2550     | 0.0254        | 0.0601          |
| 0.2755    | 2560     | 0.0306        | -               |
| 0.2766    | 2570     | 0.0323        | -               |
| 0.2777    | 2580     | 0.0302        | -               |
| 0.2788    | 2590     | 0.0323        | -               |
| 0.2798    | 2600     | 0.0333        | -               |
| 0.2809    | 2610     | 0.0303        | -               |
| 0.2820    | 2620     | 0.0237        | -               |
| 0.2831    | 2630     | 0.0317        | -               |
| 0.2841    | 2640     | 0.0323        | -               |
| 0.2852    | 2650     | 0.026         | -               |
| 0.2863    | 2660     | 0.0235        | -               |
| 0.2874    | 2670     | 0.0321        | -               |
| 0.2885    | 2680     | 0.0348        | -               |
| 0.2895    | 2690     | 0.0235        | -               |
| 0.2906    | 2700     | 0.0412        | 0.0652          |
| 0.2917    | 2710     | 0.0305        | -               |
| 0.2928    | 2720     | 0.0334        | -               |
| 0.2938    | 2730     | 0.0337        | -               |
| 0.2949    | 2740     | 0.0277        | -               |
| 0.2960    | 2750     | 0.0268        | -               |
| 0.2971    | 2760     | 0.0281        | -               |
| 0.2981    | 2770     | 0.0291        | -               |
| 0.2992    | 2780     | 0.0322        | -               |
| 0.3003    | 2790     | 0.0295        | -               |
| 0.3014    | 2800     | 0.028         | -               |
| 0.3024    | 2810     | 0.0341        | -               |
| 0.3035    | 2820     | 0.0219        | -               |
| 0.3046    | 2830     | 0.0308        | -               |
| 0.3057    | 2840     | 0.0229        | -               |
| 0.3067    | 2850     | 0.0371        | 0.0644          |
| 0.3078    | 2860     | 0.0281        | -               |
| 0.3089    | 2870     | 0.0258        | -               |
| 0.3100    | 2880     | 0.0358        | -               |
| 0.3111    | 2890     | 0.0276        | -               |
| 0.3121    | 2900     | 0.0367        | -               |
| 0.3132    | 2910     | 0.0272        | -               |
| 0.3143    | 2920     | 0.0366        | -               |
| 0.3154    | 2930     | 0.0561        | -               |
| 0.3164    | 2940     | 0.0563        | -               |
| 0.3175    | 2950     | 0.0677        | -               |
| 0.3186    | 2960     | 0.0624        | -               |
| 0.3197    | 2970     | 0.0541        | -               |
| 0.3207    | 2980     | 0.0367        | -               |
| 0.3218    | 2990     | 0.0362        | -               |
| 0.3229    | 3000     | 0.0316        | 0.0569          |
| 0.3240    | 3010     | 0.0302        | -               |
| 0.3250    | 3020     | 0.0293        | -               |
| 0.3261    | 3030     | 0.023         | -               |
| 0.3272    | 3040     | 0.0297        | -               |
| 0.3283    | 3050     | 0.0297        | -               |
| 0.3294    | 3060     | 0.0309        | -               |
| 0.3304    | 3070     | 0.0258        | -               |
| 0.3315    | 3080     | 0.0353        | -               |
| 0.3326    | 3090     | 0.0284        | -               |
| 1.0002    | 3100     | 0.0467        | -               |
| 1.0013    | 3110     | 0.0844        | -               |
| 1.0024    | 3120     | 0.0648        | -               |
| 1.0034    | 3130     | 0.0789        | -               |
| 1.0045    | 3140     | 0.0625        | -               |
| 1.0056    | 3150     | 0.0675        | 0.0666          |
| 1.0067    | 3160     | 0.0594        | -               |
| 1.0077    | 3170     | 0.0566        | -               |
| 1.0088    | 3180     | 0.06          | -               |
| 1.0099    | 3190     | 0.0578        | -               |
| 1.0110    | 3200     | 0.0669        | -               |
| 1.0121    | 3210     | 0.0636        | -               |
| 1.0131    | 3220     | 0.0696        | -               |
| 1.0142    | 3230     | 0.0691        | -               |
| 1.0153    | 3240     | 0.0532        | -               |
| 1.0164    | 3250     | 0.0651        | -               |
| 1.0174    | 3260     | 0.0511        | -               |
| 1.0185    | 3270     | 0.0701        | -               |
| 1.0196    | 3280     | 0.055         | -               |
| 1.0207    | 3290     | 0.0613        | -               |
| 1.0217    | 3300     | 0.0609        | 0.0689          |
| 1.0228    | 3310     | 0.0587        | -               |
| 1.0239    | 3320     | 0.0578        | -               |
| 1.0250    | 3330     | 0.0653        | -               |
| 1.0260    | 3340     | 0.0608        | -               |
| 1.0271    | 3350     | 0.0623        | -               |
| 1.0282    | 3360     | 0.0668        | -               |
| 1.0293    | 3370     | 0.0601        | -               |
| 1.0304    | 3380     | 0.0595        | -               |
| 1.0314    | 3390     | 0.0664        | -               |
| 1.0325    | 3400     | 0.0577        | -               |
| 1.0336    | 3410     | 0.0555        | -               |
| 1.0347    | 3420     | 0.072         | -               |
| 1.0357    | 3430     | 0.0677        | -               |
| 1.0368    | 3440     | 0.0568        | -               |
| 1.0379    | 3450     | 0.0614        | 0.0740          |
| 1.0390    | 3460     | 0.0606        | -               |
| 1.0400    | 3470     | 0.0491        | -               |
| 1.0411    | 3480     | 0.0643        | -               |
| 1.0422    | 3490     | 0.0462        | -               |
| 1.0433    | 3500     | 0.0436        | -               |
| 1.0443    | 3510     | 0.0638        | -               |
| 1.0454    | 3520     | 0.063         | -               |
| 1.0465    | 3530     | 0.0615        | -               |
| 1.0476    | 3540     | 0.0653        | -               |
| 1.0486    | 3550     | 0.0575        | -               |
| 1.0497    | 3560     | 0.0575        | -               |
| 1.0508    | 3570     | 0.0601        | -               |
| 1.0519    | 3580     | 0.0614        | -               |
| 1.0530    | 3590     | 0.0605        | -               |
| 1.0540    | 3600     | 0.0561        | 0.0728          |
| 1.0551    | 3610     | 0.0615        | -               |
| 1.0562    | 3620     | 0.059         | -               |
| 1.0573    | 3630     | 0.0603        | -               |
| 1.0583    | 3640     | 0.0624        | -               |
| 1.0594    | 3650     | 0.0528        | -               |
| 1.0605    | 3660     | 0.0582        | -               |
| 1.0616    | 3670     | 0.0597        | -               |
| 1.0626    | 3680     | 0.0729        | -               |
| 1.0637    | 3690     | 0.0614        | -               |
| 1.0648    | 3700     | 0.0554        | -               |
| 1.0659    | 3710     | 0.0547        | -               |
| 1.0669    | 3720     | 0.0605        | -               |
| 1.0680    | 3730     | 0.0648        | -               |
| 1.0691    | 3740     | 0.0546        | -               |
| 1.0702    | 3750     | 0.0704        | 0.0676          |
| 1.0713    | 3760     | 0.0544        | -               |
| 1.0723    | 3770     | 0.0663        | -               |
| 1.0734    | 3780     | 0.054         | -               |
| 1.0745    | 3790     | 0.0584        | -               |
| 1.0756    | 3800     | 0.0744        | -               |
| 1.0766    | 3810     | 0.0721        | -               |
| 1.0777    | 3820     | 0.0503        | -               |
| 1.0788    | 3830     | 0.0604        | -               |
| 1.0799    | 3840     | 0.0654        | -               |
| 1.0809    | 3850     | 0.0629        | -               |
| 1.0820    | 3860     | 0.0625        | -               |
| 1.0831    | 3870     | 0.0744        | -               |
| 1.0842    | 3880     | 0.0581        | -               |
| 1.0852    | 3890     | 0.0586        | -               |
| 1.0863    | 3900     | 0.0518        | 0.0731          |
| 1.0874    | 3910     | 0.0729        | -               |
| 1.0885    | 3920     | 0.061         | -               |
| 1.0895    | 3930     | 0.0611        | -               |
| 1.0906    | 3940     | 0.0666        | -               |
| 1.0917    | 3950     | 0.0647        | -               |
| 1.0928    | 3960     | 0.0599        | -               |
| 1.0939    | 3970     | 0.0477        | -               |
| 1.0949    | 3980     | 0.0398        | -               |
| 1.0960    | 3990     | 0.0439        | -               |
| 1.0971    | 4000     | 0.0388        | -               |
| 1.0982    | 4010     | 0.0386        | -               |
| 1.0992    | 4020     | 0.0351        | -               |
| 1.1003    | 4030     | 0.0347        | -               |
| 1.1014    | 4040     | 0.0339        | -               |
| 1.1025    | 4050     | 0.0362        | 0.0529          |
| 1.1035    | 4060     | 0.0314        | -               |
| 1.1046    | 4070     | 0.0348        | -               |
| 1.1057    | 4080     | 0.0354        | -               |
| 1.1068    | 4090     | 0.0416        | -               |
| 1.1078    | 4100     | 0.0411        | -               |
| 1.1089    | 4110     | 0.0435        | -               |
| 1.1100    | 4120     | 0.0304        | -               |
| 1.1111    | 4130     | 0.044         | -               |
| 1.1122    | 4140     | 0.0341        | -               |
| 1.1132    | 4150     | 0.0418        | -               |
| 1.1143    | 4160     | 0.036         | -               |
| 1.1154    | 4170     | 0.0456        | -               |
| 1.1165    | 4180     | 0.058         | -               |
| 1.1175    | 4190     | 0.0494        | -               |
| 1.1186    | 4200     | 0.0592        | 0.0536          |
| 1.1197    | 4210     | 0.0461        | -               |
| 1.1208    | 4220     | 0.0453        | -               |
| 1.1218    | 4230     | 0.0576        | -               |
| 1.1229    | 4240     | 0.0436        | -               |
| 1.1240    | 4250     | 0.0459        | -               |
| 1.1251    | 4260     | 0.0472        | -               |
| 1.1261    | 4270     | 0.05          | -               |
| 1.1272    | 4280     | 0.0451        | -               |
| 1.1283    | 4290     | 0.0547        | -               |
| 1.1294    | 4300     | 0.0436        | -               |
| 1.1304    | 4310     | 0.0401        | -               |
| 1.1315    | 4320     | 0.0483        | -               |
| 1.1326    | 4330     | 0.0494        | -               |
| 1.1337    | 4340     | 0.048         | -               |
| 1.1348    | 4350     | 0.0418        | 0.0535          |
| 1.1358    | 4360     | 0.046         | -               |
| 1.1369    | 4370     | 0.0569        | -               |
| 1.1380    | 4380     | 0.0643        | -               |
| 1.1391    | 4390     | 0.0437        | -               |
| 1.1401    | 4400     | 0.0435        | -               |
| 1.1412    | 4410     | 0.0467        | -               |
| 1.1423    | 4420     | 0.0517        | -               |
| 1.1434    | 4430     | 0.0513        | -               |
| 1.1444    | 4440     | 0.0525        | -               |
| 1.1455    | 4450     | 0.0408        | -               |
| 1.1466    | 4460     | 0.0433        | -               |
| 1.1477    | 4470     | 0.0331        | -               |
| 1.1487    | 4480     | 0.0505        | -               |
| 1.1498    | 4490     | 0.0423        | -               |
| 1.1509    | 4500     | 0.049         | 0.0495          |
| 1.1520    | 4510     | 0.0466        | -               |
| 1.1531    | 4520     | 0.0365        | -               |
| 1.1541    | 4530     | 0.0449        | -               |
| 1.1552    | 4540     | 0.0547        | -               |
| 1.1563    | 4550     | 0.0475        | -               |
| 1.1574    | 4560     | 0.043         | -               |
| 1.1584    | 4570     | 0.0431        | -               |
| 1.1595    | 4580     | 0.0506        | -               |
| 1.1606    | 4590     | 0.0439        | -               |
| 1.1617    | 4600     | 0.0496        | -               |
| 1.1627    | 4610     | 0.0452        | -               |
| 1.1638    | 4620     | 0.0449        | -               |
| 1.1649    | 4630     | 0.0433        | -               |
| 1.1660    | 4640     | 0.0399        | -               |
| **1.167** | **4650** | **0.0442**    | **0.0471**      |
| 1.1681    | 4660     | 0.0503        | -               |
| 1.1692    | 4670     | 0.0404        | -               |
| 1.1703    | 4680     | 0.0396        | -               |
| 1.1713    | 4690     | 0.0276        | -               |
| 1.1724    | 4700     | 0.0321        | -               |
| 1.1735    | 4710     | 0.0352        | -               |
| 1.1746    | 4720     | 0.0291        | -               |
| 1.1757    | 4730     | 0.0308        | -               |
| 1.1767    | 4740     | 0.0287        | -               |
| 1.1778    | 4750     | 0.0369        | -               |
| 1.1789    | 4760     | 0.034         | -               |
| 1.1800    | 4770     | 0.0284        | -               |
| 1.1810    | 4780     | 0.0318        | -               |
| 1.1821    | 4790     | 0.0322        | -               |
| 1.1832    | 4800     | 0.0385        | 0.0539          |
| 1.1843    | 4810     | 0.0315        | -               |
| 1.1853    | 4820     | 0.026         | -               |
| 1.1864    | 4830     | 0.0275        | -               |
| 1.1875    | 4840     | 0.0268        | -               |
| 1.1886    | 4850     | 0.0234        | -               |
| 1.1896    | 4860     | 0.0263        | -               |
| 1.1907    | 4870     | 0.0318        | -               |
| 1.1918    | 4880     | 0.0288        | -               |
| 1.1929    | 4890     | 0.0399        | -               |
| 1.1940    | 4900     | 0.0308        | -               |
| 1.1950    | 4910     | 0.0281        | -               |
| 1.1961    | 4920     | 0.0216        | -               |
| 1.1972    | 4930     | 0.0279        | -               |
| 1.1983    | 4940     | 0.0243        | -               |
| 1.1993    | 4950     | 0.0215        | 0.0575          |
| 1.2004    | 4960     | 0.0367        | -               |
| 1.2015    | 4970     | 0.0315        | -               |
| 1.2026    | 4980     | 0.0317        | -               |
| 1.2036    | 4990     | 0.026         | -               |
| 1.2047    | 5000     | 0.0304        | -               |
| 1.2058    | 5010     | 0.0247        | -               |
| 1.2069    | 5020     | 0.0283        | -               |
| 1.2079    | 5030     | 0.0233        | -               |
| 1.2090    | 5040     | 0.0313        | -               |
| 1.2101    | 5050     | 0.0258        | -               |
| 1.2112    | 5060     | 0.0248        | -               |
| 1.2122    | 5070     | 0.03          | -               |
| 1.2133    | 5080     | 0.0264        | -               |
| 1.2144    | 5090     | 0.024         | -               |
| 1.2155    | 5100     | 0.0233        | 0.0577          |
| 1.2166    | 5110     | 0.0233        | -               |
| 1.2176    | 5120     | 0.024         | -               |
| 1.2187    | 5130     | 0.0249        | -               |
| 1.2198    | 5140     | 0.0237        | -               |
| 1.2209    | 5150     | 0.0274        | -               |
| 1.2219    | 5160     | 0.0249        | -               |
| 1.2230    | 5170     | 0.0335        | -               |
| 1.2241    | 5180     | 0.0203        | -               |
| 1.2252    | 5190     | 0.0233        | -               |
| 1.2262    | 5200     | 0.0203        | -               |
| 1.2273    | 5210     | 0.0302        | -               |
| 1.2284    | 5220     | 0.0302        | -               |
| 1.2295    | 5230     | 0.0276        | -               |
| 1.2305    | 5240     | 0.0286        | -               |
| 1.2316    | 5250     | 0.0227        | 0.0588          |
| 1.2327    | 5260     | 0.0251        | -               |
| 1.2338    | 5270     | 0.0246        | -               |
| 1.2349    | 5280     | 0.0317        | -               |
| 1.2359    | 5290     | 0.0298        | -               |
| 1.2370    | 5300     | 0.0261        | -               |
| 1.2381    | 5310     | 0.0291        | -               |
| 1.2392    | 5320     | 0.0234        | -               |
| 1.2402    | 5330     | 0.0244        | -               |
| 1.2413    | 5340     | 0.0295        | -               |
| 1.2424    | 5350     | 0.0195        | -               |
| 1.2435    | 5360     | 0.0261        | -               |
| 1.2445    | 5370     | 0.0275        | -               |
| 1.2456    | 5380     | 0.0255        | -               |
| 1.2467    | 5390     | 0.0287        | -               |
| 1.2478    | 5400     | 0.0251        | 0.0640          |
| 1.2488    | 5410     | 0.0202        | -               |
| 1.2499    | 5420     | 0.0224        | -               |
| 1.2510    | 5430     | 0.0311        | -               |
| 1.2521    | 5440     | 0.0246        | -               |
| 1.2531    | 5450     | 0.0234        | -               |
| 1.2542    | 5460     | 0.02          | -               |
| 1.2553    | 5470     | 0.0239        | -               |
| 1.2564    | 5480     | 0.0232        | -               |
| 1.2575    | 5490     | 0.0317        | -               |
| 1.2585    | 5500     | 0.0244        | -               |
| 1.2596    | 5510     | 0.0224        | -               |
| 1.2607    | 5520     | 0.0213        | -               |
| 1.2618    | 5530     | 0.0249        | -               |
| 1.2628    | 5540     | 0.0234        | -               |
| 1.2639    | 5550     | 0.0269        | 0.0628          |
| 1.2650    | 5560     | 0.0217        | -               |
| 1.2661    | 5570     | 0.0287        | -               |
| 1.2671    | 5580     | 0.0244        | -               |
| 1.2682    | 5590     | 0.0193        | -               |
| 1.2693    | 5600     | 0.0256        | -               |
| 1.2704    | 5610     | 0.0248        | -               |
| 1.2714    | 5620     | 0.0301        | -               |
| 1.2725    | 5630     | 0.0274        | -               |
| 1.2736    | 5640     | 0.02          | -               |
| 1.2747    | 5650     | 0.0265        | -               |
| 1.2758    | 5660     | 0.0222        | -               |
| 1.2768    | 5670     | 0.035         | -               |
| 1.2779    | 5680     | 0.032         | -               |
| 1.2790    | 5690     | 0.0251        | -               |
| 1.2801    | 5700     | 0.0241        | 0.0657          |
| 1.2811    | 5710     | 0.0232        | -               |
| 1.2822    | 5720     | 0.0273        | -               |
| 1.2833    | 5730     | 0.0237        | -               |
| 1.2844    | 5740     | 0.0238        | -               |
| 1.2854    | 5750     | 0.0223        | -               |
| 1.2865    | 5760     | 0.0203        | -               |
| 1.2876    | 5770     | 0.0261        | -               |
| 1.2887    | 5780     | 0.0263        | -               |
| 1.2897    | 5790     | 0.0258        | -               |
| 1.2908    | 5800     | 0.0224        | -               |
| 1.2919    | 5810     | 0.0305        | -               |
| 1.2930    | 5820     | 0.0237        | -               |
| 1.2940    | 5830     | 0.0266        | -               |
| 1.2951    | 5840     | 0.0253        | -               |
| 1.2962    | 5850     | 0.0256        | 0.0638          |
| 1.2973    | 5860     | 0.0221        | -               |
| 1.2984    | 5870     | 0.0288        | -               |
| 1.2994    | 5880     | 0.0285        | -               |
| 1.3005    | 5890     | 0.0261        | -               |
| 1.3016    | 5900     | 0.0249        | -               |
| 1.3027    | 5910     | 0.0233        | -               |
| 1.3037    | 5920     | 0.0219        | -               |
| 1.3048    | 5930     | 0.0225        | -               |
| 1.3059    | 5940     | 0.0219        | -               |
| 1.3070    | 5950     | 0.0254        | -               |
| 1.3080    | 5960     | 0.0238        | -               |
| 1.3091    | 5970     | 0.027         | -               |
| 1.3102    | 5980     | 0.027         | -               |
| 1.3113    | 5990     | 0.026         | -               |
| 1.3123    | 6000     | 0.0252        | 0.0678          |
| 1.3134    | 6010     | 0.0228        | -               |
| 1.3145    | 6020     | 0.0307        | -               |
| 1.3156    | 6030     | 0.0595        | -               |
| 1.3167    | 6040     | 0.0464        | -               |
| 1.3177    | 6050     | 0.0464        | -               |
| 1.3188    | 6060     | 0.0404        | -               |
| 1.3199    | 6070     | 0.0607        | -               |
| 1.3210    | 6080     | 0.0336        | -               |
| 1.3220    | 6090     | 0.0244        | -               |
| 1.3231    | 6100     | 0.0273        | -               |
| 1.3242    | 6110     | 0.027         | -               |
| 1.3253    | 6120     | 0.0244        | -               |
| 1.3263    | 6130     | 0.0215        | -               |
| 1.3274    | 6140     | 0.0235        | -               |
| 1.3285    | 6150     | 0.0229        | 0.0592          |
| 1.3296    | 6160     | 0.0288        | -               |
| 1.3306    | 6170     | 0.0278        | -               |
| 1.3317    | 6180     | 0.0253        | -               |
| 1.3328    | 6190     | 0.0286        | -               |
| 2.0004    | 6200     | 0.0429        | -               |
| 2.0015    | 6210     | 0.0587        | -               |
| 2.0026    | 6220     | 0.0599        | -               |
| 2.0037    | 6230     | 0.0709        | -               |
| 2.0047    | 6240     | 0.0518        | -               |
| 2.0058    | 6250     | 0.0645        | -               |
| 2.0069    | 6260     | 0.0377        | -               |
| 2.0080    | 6270     | 0.0607        | -               |
| 2.0090    | 6280     | 0.047         | -               |
| 2.0101    | 6290     | 0.0607        | -               |
| 2.0112    | 6300     | 0.0495        | 0.0659          |
| 2.0123    | 6310     | 0.0662        | -               |
| 2.0133    | 6320     | 0.0582        | -               |
| 2.0144    | 6330     | 0.0565        | -               |
| 2.0155    | 6340     | 0.0533        | -               |
| 2.0166    | 6350     | 0.0557        | -               |
| 2.0177    | 6360     | 0.0575        | -               |
| 2.0187    | 6370     | 0.0516        | -               |
| 2.0198    | 6380     | 0.0549        | -               |
| 2.0209    | 6390     | 0.0568        | -               |
| 2.0220    | 6400     | 0.0549        | -               |
| 2.0230    | 6410     | 0.0511        | -               |
| 2.0241    | 6420     | 0.0576        | -               |
| 2.0252    | 6430     | 0.056         | -               |
| 2.0263    | 6440     | 0.0493        | -               |
| 2.0273    | 6450     | 0.0598        | 0.0632          |
| 2.0284    | 6460     | 0.0582        | -               |
| 2.0295    | 6470     | 0.0669        | -               |
| 2.0306    | 6480     | 0.0467        | -               |
| 2.0316    | 6490     | 0.0643        | -               |
| 2.0327    | 6500     | 0.0525        | -               |
| 2.0338    | 6510     | 0.0575        | -               |
| 2.0349    | 6520     | 0.0671        | -               |
| 2.0359    | 6530     | 0.0569        | -               |
| 2.0370    | 6540     | 0.0615        | -               |
| 2.0381    | 6550     | 0.0541        | -               |
| 2.0392    | 6560     | 0.0425        | -               |
| 2.0403    | 6570     | 0.0563        | -               |
| 2.0413    | 6580     | 0.0418        | -               |
| 2.0424    | 6590     | 0.0493        | -               |
| 2.0435    | 6600     | 0.0491        | 0.0649          |
| 2.0446    | 6610     | 0.0558        | -               |
| 2.0456    | 6620     | 0.0543        | -               |
| 2.0467    | 6630     | 0.0585        | -               |
| 2.0478    | 6640     | 0.0521        | -               |
| 2.0489    | 6650     | 0.055         | -               |
| 2.0499    | 6660     | 0.0563        | -               |
| 2.0510    | 6670     | 0.058         | -               |
| 2.0521    | 6680     | 0.0582        | -               |
| 2.0532    | 6690     | 0.0534        | -               |
| 2.0542    | 6700     | 0.0561        | -               |
| 2.0553    | 6710     | 0.0521        | -               |
| 2.0564    | 6720     | 0.0628        | -               |
| 2.0575    | 6730     | 0.0522        | -               |
| 2.0586    | 6740     | 0.0535        | -               |
| 2.0596    | 6750     | 0.0537        | 0.0658          |
| 2.0607    | 6760     | 0.0558        | -               |
| 2.0618    | 6770     | 0.0553        | -               |
| 2.0629    | 6780     | 0.0575        | -               |
| 2.0639    | 6790     | 0.0641        | -               |
| 2.0650    | 6800     | 0.0545        | -               |
| 2.0661    | 6810     | 0.0451        | -               |
| 2.0672    | 6820     | 0.0588        | -               |
| 2.0682    | 6830     | 0.0603        | -               |
| 2.0693    | 6840     | 0.0537        | -               |
| 2.0704    | 6850     | 0.0613        | -               |
| 2.0715    | 6860     | 0.0665        | -               |
| 2.0725    | 6870     | 0.0547        | -               |
| 2.0736    | 6880     | 0.0509        | -               |
| 2.0747    | 6890     | 0.0673        | -               |
| 2.0758    | 6900     | 0.0511        | 0.0637          |
| 2.0768    | 6910     | 0.0571        | -               |
| 2.0779    | 6920     | 0.0523        | -               |
| 2.0790    | 6930     | 0.0575        | -               |
| 2.0801    | 6940     | 0.0577        | -               |
| 2.0812    | 6950     | 0.0661        | -               |
| 2.0822    | 6960     | 0.0493        | -               |
| 2.0833    | 6970     | 0.0697        | -               |
| 2.0844    | 6980     | 0.0701        | -               |
| 2.0855    | 6990     | 0.0589        | -               |
| 2.0865    | 7000     | 0.0453        | -               |
| 2.0876    | 7010     | 0.0596        | -               |
| 2.0887    | 7020     | 0.0518        | -               |
| 2.0898    | 7030     | 0.0515        | -               |
| 2.0908    | 7040     | 0.0628        | -               |
| 2.0919    | 7050     | 0.0615        | 0.0607          |
| 2.0930    | 7060     | 0.0664        | -               |
| 2.0941    | 7070     | 0.0361        | -               |
| 2.0951    | 7080     | 0.0319        | -               |
| 2.0962    | 7090     | 0.0305        | -               |
| 2.0973    | 7100     | 0.0405        | -               |
| 2.0984    | 7110     | 0.0351        | -               |
| 2.0995    | 7120     | 0.03          | -               |
| 2.1005    | 7130     | 0.0274        | -               |
| 2.1016    | 7140     | 0.0351        | -               |
| 2.1027    | 7150     | 0.0302        | -               |
| 2.1038    | 7160     | 0.037         | -               |
| 2.1048    | 7170     | 0.0346        | -               |
| 2.1059    | 7180     | 0.0352        | -               |
| 2.1070    | 7190     | 0.0338        | -               |
| 2.1081    | 7200     | 0.0393        | 0.0529          |
| 2.1091    | 7210     | 0.0344        | -               |
| 2.1102    | 7220     | 0.0359        | -               |
| 2.1113    | 7230     | 0.0378        | -               |
| 2.1124    | 7240     | 0.0442        | -               |
| 2.1134    | 7250     | 0.0383        | -               |
| 2.1145    | 7260     | 0.0347        | -               |
| 2.1156    | 7270     | 0.0422        | -               |
| 2.1167    | 7280     | 0.0483        | -               |
| 2.1177    | 7290     | 0.0468        | -               |
| 2.1188    | 7300     | 0.0418        | -               |
| 2.1199    | 7310     | 0.0547        | -               |
| 2.1210    | 7320     | 0.0428        | -               |
| 2.1221    | 7330     | 0.0389        | -               |
| 2.1231    | 7340     | 0.0414        | -               |
| 2.1242    | 7350     | 0.0405        | 0.0532          |
| 2.1253    | 7360     | 0.0488        | -               |
| 2.1264    | 7370     | 0.042         | -               |
| 2.1274    | 7380     | 0.044         | -               |
| 2.1285    | 7390     | 0.046         | -               |
| 2.1296    | 7400     | 0.0366        | -               |
| 2.1307    | 7410     | 0.036         | -               |
| 2.1317    | 7420     | 0.0466        | -               |
| 2.1328    | 7430     | 0.0495        | -               |
| 2.1339    | 7440     | 0.0332        | -               |
| 2.1350    | 7450     | 0.0495        | -               |
| 2.1360    | 7460     | 0.0367        | -               |
| 2.1371    | 7470     | 0.0438        | -               |
| 2.1382    | 7480     | 0.0559        | -               |
| 2.1393    | 7490     | 0.045         | -               |
| 2.1404    | 7500     | 0.046         | 0.0497          |
| 2.1414    | 7510     | 0.0364        | -               |
| 2.1425    | 7520     | 0.0439        | -               |
| 2.1436    | 7530     | 0.0516        | -               |
| 2.1447    | 7540     | 0.0461        | -               |
| 2.1457    | 7550     | 0.0476        | -               |
| 2.1468    | 7560     | 0.028         | -               |
| 2.1479    | 7570     | 0.0377        | -               |
| 2.1490    | 7580     | 0.0412        | -               |
| 2.1500    | 7590     | 0.0418        | -               |
| 2.1511    | 7600     | 0.0468        | -               |
| 2.1522    | 7610     | 0.0404        | -               |
| 2.1533    | 7620     | 0.0436        | -               |
| 2.1543    | 7630     | 0.0437        | -               |
| 2.1554    | 7640     | 0.0412        | -               |
| 2.1565    | 7650     | 0.0377        | 0.0495          |
| 2.1576    | 7660     | 0.0401        | -               |
| 2.1586    | 7670     | 0.0438        | -               |
| 2.1597    | 7680     | 0.0514        | -               |
| 2.1608    | 7690     | 0.0387        | -               |
| 2.1619    | 7700     | 0.0427        | -               |
| 2.1630    | 7710     | 0.0477        | -               |
| 2.1640    | 7720     | 0.0376        | -               |
| 2.1651    | 7730     | 0.037         | -               |
| 2.1662    | 7740     | 0.047         | -               |
| 2.1673    | 7750     | 0.0529        | -               |
| 2.1683    | 7760     | 0.0423        | -               |
| 2.1694    | 7770     | 0.0415        | -               |
| 2.1705    | 7780     | 0.0278        | -               |
| 2.1716    | 7790     | 0.031         | -               |
| 2.1726    | 7800     | 0.0251        | 0.0493          |
| 2.1737    | 7810     | 0.0301        | -               |
| 2.1748    | 7820     | 0.0295        | -               |
| 2.1759    | 7830     | 0.0283        | -               |
| 2.1769    | 7840     | 0.0295        | -               |
| 2.1780    | 7850     | 0.0253        | -               |
| 2.1791    | 7860     | 0.0294        | -               |
| 2.1802    | 7870     | 0.0333        | -               |
| 2.1813    | 7880     | 0.0375        | -               |
| 2.1823    | 7890     | 0.0307        | -               |
| 2.1834    | 7900     | 0.0302        | -               |
| 2.1845    | 7910     | 0.0277        | -               |
| 2.1856    | 7920     | 0.0227        | -               |
| 2.1866    | 7930     | 0.0208        | -               |
| 2.1877    | 7940     | 0.0224        | -               |
| 2.1888    | 7950     | 0.026         | 0.0539          |
| 2.1899    | 7960     | 0.0281        | -               |
| 2.1909    | 7970     | 0.0299        | -               |
| 2.1920    | 7980     | 0.0274        | -               |
| 2.1931    | 7990     | 0.034         | -               |
| 2.1942    | 8000     | 0.0297        | -               |
| 2.1952    | 8010     | 0.0234        | -               |
| 2.1963    | 8020     | 0.021         | -               |
| 2.1974    | 8030     | 0.0271        | -               |
| 2.1985    | 8040     | 0.0253        | -               |
| 2.1995    | 8050     | 0.0255        | -               |
| 2.2006    | 8060     | 0.0262        | -               |
| 2.2017    | 8070     | 0.0282        | -               |
| 2.2028    | 8080     | 0.0318        | -               |
| 2.2039    | 8090     | 0.0252        | -               |
| 2.2049    | 8100     | 0.0285        | 0.0556          |
| 2.2060    | 8110     | 0.0257        | -               |
| 2.2071    | 8120     | 0.0217        | -               |
| 2.2082    | 8130     | 0.0229        | -               |
| 2.2092    | 8140     | 0.026         | -               |
| 2.2103    | 8150     | 0.0226        | -               |
| 2.2114    | 8160     | 0.0273        | -               |
| 2.2125    | 8170     | 0.026         | -               |
| 2.2135    | 8180     | 0.0258        | -               |
| 2.2146    | 8190     | 0.025         | -               |
| 2.2157    | 8200     | 0.0204        | -               |
| 2.2168    | 8210     | 0.0213        | -               |
| 2.2178    | 8220     | 0.0209        | -               |
| 2.2189    | 8230     | 0.0246        | -               |
| 2.2200    | 8240     | 0.0204        | -               |
| 2.2211    | 8250     | 0.0271        | 0.0554          |
| 2.2222    | 8260     | 0.0214        | -               |
| 2.2232    | 8270     | 0.0262        | -               |
| 2.2243    | 8280     | 0.023         | -               |
| 2.2254    | 8290     | 0.023         | -               |
| 2.2265    | 8300     | 0.0188        | -               |
| 2.2275    | 8310     | 0.0315        | -               |
| 2.2286    | 8320     | 0.0274        | -               |
| 2.2297    | 8330     | 0.0248        | -               |
| 2.2308    | 8340     | 0.0255        | -               |
| 2.2318    | 8350     | 0.0232        | -               |
| 2.2329    | 8360     | 0.0241        | -               |
| 2.2340    | 8370     | 0.0275        | -               |
| 2.2351    | 8380     | 0.0302        | -               |
| 2.2361    | 8390     | 0.0261        | -               |
| 2.2372    | 8400     | 0.0251        | 0.0571          |
| 2.2383    | 8410     | 0.0236        | -               |
| 2.2394    | 8420     | 0.0305        | -               |
| 2.2404    | 8430     | 0.0222        | -               |
| 2.2415    | 8440     | 0.0271        | -               |
| 2.2426    | 8450     | 0.0197        | -               |
| 2.2437    | 8460     | 0.0277        | -               |
| 2.2448    | 8470     | 0.0198        | -               |
| 2.2458    | 8480     | 0.0218        | -               |
| 2.2469    | 8490     | 0.0267        | -               |
| 2.2480    | 8500     | 0.0247        | -               |
| 2.2491    | 8510     | 0.0234        | -               |
| 2.2501    | 8520     | 0.0232        | -               |
| 2.2512    | 8530     | 0.028         | -               |
| 2.2523    | 8540     | 0.0251        | -               |
| 2.2534    | 8550     | 0.016         | 0.0572          |
| 2.2544    | 8560     | 0.0234        | -               |
| 2.2555    | 8570     | 0.0283        | -               |
| 2.2566    | 8580     | 0.0222        | -               |
| 2.2577    | 8590     | 0.0304        | -               |
| 2.2587    | 8600     | 0.0257        | -               |
| 2.2598    | 8610     | 0.0256        | -               |
| 2.2609    | 8620     | 0.0196        | -               |
| 2.2620    | 8630     | 0.0206        | -               |
| 2.2631    | 8640     | 0.0225        | -               |
| 2.2641    | 8650     | 0.0224        | -               |
| 2.2652    | 8660     | 0.0243        | -               |
| 2.2663    | 8670     | 0.0254        | -               |
| 2.2674    | 8680     | 0.0212        | -               |
| 2.2684    | 8690     | 0.0243        | -               |
| 2.2695    | 8700     | 0.025         | 0.0581          |
| 2.2706    | 8710     | 0.0241        | -               |
| 2.2717    | 8720     | 0.0284        | -               |
| 2.2727    | 8730     | 0.0217        | -               |
| 2.2738    | 8740     | 0.0284        | -               |
| 2.2749    | 8750     | 0.0261        | -               |
| 2.2760    | 8760     | 0.0258        | -               |
| 2.2770    | 8770     | 0.0325        | -               |
| 2.2781    | 8780     | 0.0273        | -               |
| 2.2792    | 8790     | 0.0235        | -               |
| 2.2803    | 8800     | 0.0287        | -               |
| 2.2813    | 8810     | 0.0228        | -               |
| 2.2824    | 8820     | 0.0224        | -               |
| 2.2835    | 8830     | 0.0284        | -               |
| 2.2846    | 8840     | 0.0216        | -               |
| 2.2857    | 8850     | 0.021         | 0.0577          |
| 2.2867    | 8860     | 0.0254        | -               |
| 2.2878    | 8870     | 0.0218        | -               |
| 2.2889    | 8880     | 0.0238        | -               |
| 2.2900    | 8890     | 0.028         | -               |
| 2.2910    | 8900     | 0.0248        | -               |
| 2.2921    | 8910     | 0.0271        | -               |
| 2.2932    | 8920     | 0.0272        | -               |
| 2.2943    | 8930     | 0.0262        | -               |
| 2.2953    | 8940     | 0.0224        | -               |
| 2.2964    | 8950     | 0.023         | -               |
| 2.2975    | 8960     | 0.0268        | -               |
| 2.2986    | 8970     | 0.0293        | -               |
| 2.2996    | 8980     | 0.0255        | -               |
| 2.3007    | 8990     | 0.0239        | -               |
| 2.3018    | 9000     | 0.0226        | 0.0585          |
| 2.3029    | 9010     | 0.0241        | -               |
| 2.3040    | 9020     | 0.0221        | -               |
| 2.3050    | 9030     | 0.0203        | -               |
| 2.3061    | 9040     | 0.0229        | -               |
| 2.3072    | 9050     | 0.0269        | -               |
| 2.3083    | 9060     | 0.0214        | -               |
| 2.3093    | 9070     | 0.0257        | -               |
| 2.3104    | 9080     | 0.0263        | -               |
| 2.3115    | 9090     | 0.0279        | -               |
| 2.3126    | 9100     | 0.0276        | -               |
| 2.3136    | 9110     | 0.0217        | -               |
| 2.3147    | 9120     | 0.0342        | -               |
| 2.3158    | 9130     | 0.0381        | -               |
| 2.3169    | 9140     | 0.0413        | -               |
| 2.3179    | 9150     | 0.044         | 0.0581          |

* The bold row denotes the saved checkpoint.
</details>

### Framework Versions
- Python: 3.10.14
- Sentence Transformers: 3.4.1
- Transformers: 4.49.0
- PyTorch: 2.2.2
- Accelerate: 1.4.0
- Datasets: 3.3.2
- 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",
}
```

<!--
## Glossary

*Clearly define terms in order to be accessible across audiences.*
-->

<!--
## Model Card Authors

*Lists the people who create the model card, providing recognition and accountability for the detailed work that goes into its construction.*
-->

<!--
## Model Card Contact

*Provides a way for people who have updates to the Model Card, suggestions, or questions, to contact the Model Card authors.*
-->