sentence-transformers safetensors bert sentence-similarity feature-extraction generated_from_trainer dataset_size:187491593 loss:CustomTripletLoss arxiv:1908.10084 arxiv:1703.07737 base_model:pankajrajdeo/UMLS-ED-Bioformer-16L-V-1 base_model:finetune:pankajrajdeo/UMLS-ED-Bioformer-16L-V-1 autotrain_compatible text-embeddings-inference endpoints_compatible region:us
---
base_model:
- pankajrajdeo/UMLS-ED-Bioformer-16L-V-1
library_name: sentence-transformers
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- sentence-similarity
- feature-extraction
- generated_from_trainer
- dataset_size:187491593
- loss:CustomTripletLoss
widget:
- source_sentence: Hylocharis xantusii
  sentences:
  - Xantus's hummingbird
  - C5721346
  - C1623532
  - Iole viridescens viridescens
- source_sentence: HTLV1+2 RNA XXX Ql PCR
  sentences:
  - HTLV 1+2 RNA:MevcEşik:Zmlı:XXX:Srl:Prob.amf.hdf
  - Nota de progreso:Tipo:Punto temporal:{Configuración}:Documento:Pain medicine
  - C0368469
  - C4070921
- source_sentence: Degeneração Nigroestriatal
  sentences:
  - C0270733
  - hiperinsulinismo debido a deficiencia de 3-hidroxiacil-coenzima A deshidrogenasa
    de cadena corta
  - Striatonigral atrophy
  - C4303473
- source_sentence: Clostridioides difficile As:titer:moment:serum:semikwantitatief
  sentences:
  - Dehidroepiandrosteron:MevcEşik:Zmlı:İdrar:Srl
  - C0485219
  - C0364328
  - Clostridium difficile Ac:Título:Pt:Soro:Qn
- source_sentence: E Vicotrat
  sentences:
  - C2742706
  - C2350910
  - germanium L-cysteine alpha-tocopherol complex
  - Eosine I Bluish, Dipotassium Salt
---

# SentenceTransformer

This is a [sentence-transformers](https://www.SBERT.net) model trained. 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:** [Unknown](https://huggingface.co/unknown) -->
- **Maximum Sequence Length:** 1024 tokens
- **Output Dimensionality:** 384 tokens
- **Similarity Function:** Cosine Similarity
<!-- - **Training Dataset:** Unknown -->
<!-- - **Language:** Unknown -->
<!-- - **License:** Unknown -->

### Model Sources

- **Documentation:** [Sentence Transformers Documentation](https://sbert.net)
- **Repository:** [Sentence Transformers on GitHub](https://github.com/UKPLab/sentence-transformers)
- **Hugging Face:** [Sentence Transformers on Hugging Face](https://huggingface.co/models?library=sentence-transformers)

### Full Model Architecture

```
SentenceTransformer(
  (0): Transformer({'max_seq_length': 1024, 'do_lower_case': False}) with Transformer model: BertModel 
  (1): Pooling({'word_embedding_dimension': 384, 'pooling_mode_cls_token': False, 'pooling_mode_mean_tokens': True, 'pooling_mode_max_tokens': False, 'pooling_mode_mean_sqrt_len_tokens': False, 'pooling_mode_weightedmean_tokens': False, 'pooling_mode_lasttoken': False, 'include_prompt': True})
)
```

## Usage

### Direct Usage (Sentence Transformers)

First install the Sentence Transformers library:

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

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

# Download from the 🤗 Hub
model = SentenceTransformer("pankajrajdeo/checkpoint-1874914-upload")
# Run inference
sentences = [
    'E Vicotrat',
    'Eosine I Bluish, Dipotassium Salt',
    'C2742706',
]
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

#### Unnamed Dataset


* Size: 187,491,593 training samples
* Columns: <code>anchor</code>, <code>positive</code>, <code>negative_id</code>, <code>positive_id</code>, and <code>negative</code>
* Approximate statistics based on the first 1000 samples:
  |         | anchor                                                                             | positive                                                                           | negative_id                                                                     | positive_id                                                                     | negative                                                                           |
  |:--------|:-----------------------------------------------------------------------------------|:-----------------------------------------------------------------------------------|:--------------------------------------------------------------------------------|:--------------------------------------------------------------------------------|:-----------------------------------------------------------------------------------|
  | type    | string                                                                             | string                                                                             | string                                                                          | string                                                                          | string                                                                             |
  | details | <ul><li>min: 3 tokens</li><li>mean: 13.27 tokens</li><li>max: 247 tokens</li></ul> | <ul><li>min: 3 tokens</li><li>mean: 12.25 tokens</li><li>max: 157 tokens</li></ul> | <ul><li>min: 5 tokens</li><li>mean: 6.27 tokens</li><li>max: 7 tokens</li></ul> | <ul><li>min: 5 tokens</li><li>mean: 6.49 tokens</li><li>max: 7 tokens</li></ul> | <ul><li>min: 3 tokens</li><li>mean: 13.53 tokens</li><li>max: 118 tokens</li></ul> |
* Samples:
  | anchor                                        | positive                                                                                        | negative_id           | positive_id           | negative                                                                                        |
  |:----------------------------------------------|:------------------------------------------------------------------------------------------------|:----------------------|:----------------------|:------------------------------------------------------------------------------------------------|
  | <code>Zaburzenie metabolizmu minerałów</code> | <code>Distúrbio não especificado do metabolismo de minerais</code>                              | <code>C2887914</code> | <code>C0154260</code> | <code>Acute alcoholic hepatic failure</code>                                                    |
  | <code>testy funkčnosti placenty</code>        | <code>Metoder som brukes til å vurdere morkakefunksjon.</code>                                  | <code>C2350391</code> | <code>C0032049</code> | <code>Hjärtmuskelscintigrafi</code>                                                             |
  | <code>Tsefapiriin:Susc:Pt:Is:OrdQn</code>     | <code>cefapirina:susceptibilidad:punto en el tiempo:cepa clínica:ordinal o cuantitativo:</code> | <code>C0942365</code> | <code>C0801894</code> | <code>2 proyecciones:hallazgo:punto en el tiempo:tobillo.izquierdo:Narrativo:radiografía</code> |
* Loss: <code>__main__.CustomTripletLoss</code> with these parameters:
  ```json
  {
      "distance_metric": "TripletDistanceMetric.EUCLIDEAN",
      "triplet_margin": 5
  }
  ```

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

- `per_device_train_batch_size`: 50
- `learning_rate`: 2e-05
- `num_train_epochs`: 5
- `warmup_ratio`: 0.1
- `fp16`: True

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

- `overwrite_output_dir`: False
- `do_predict`: False
- `eval_strategy`: no
- `prediction_loss_only`: True
- `per_device_train_batch_size`: 50
- `per_device_eval_batch_size`: 8
- `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`: 2e-05
- `weight_decay`: 0.0
- `adam_beta1`: 0.9
- `adam_beta2`: 0.999
- `adam_epsilon`: 1e-08
- `max_grad_norm`: 1.0
- `num_train_epochs`: 5
- `max_steps`: -1
- `lr_scheduler_type`: 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`: False
- `ignore_data_skip`: False
- `fsdp`: []
- `fsdp_min_num_params`: 0
- `fsdp_config`: {'min_num_params': 0, 'xla': False, 'xla_fsdp_v2': False, 'xla_fsdp_grad_ckpt': False}
- `fsdp_transformer_layer_cls_to_wrap`: None
- `accelerator_config`: {'split_batches': False, 'dispatch_batches': None, 'even_batches': True, 'use_seedable_sampler': True, 'non_blocking': False, 'gradient_accumulation_kwargs': None}
- `deepspeed`: None
- `label_smoothing_factor`: 0.0
- `optim`: adamw_torch
- `optim_args`: None
- `adafactor`: False
- `group_by_length`: False
- `length_column_name`: length
- `ddp_find_unused_parameters`: None
- `ddp_bucket_cap_mb`: None
- `ddp_broadcast_buffers`: False
- `dataloader_pin_memory`: True
- `dataloader_persistent_workers`: False
- `skip_memory_metrics`: True
- `use_legacy_prediction_loop`: False
- `push_to_hub`: False
- `resume_from_checkpoint`: None
- `hub_model_id`: None
- `hub_strategy`: every_save
- `hub_private_repo`: False
- `hub_always_push`: False
- `gradient_checkpointing`: False
- `gradient_checkpointing_kwargs`: None
- `include_inputs_for_metrics`: False
- `eval_do_concat_batches`: True
- `fp16_backend`: auto
- `push_to_hub_model_id`: None
- `push_to_hub_organization`: None
- `mp_parameters`: 
- `auto_find_batch_size`: False
- `full_determinism`: False
- `torchdynamo`: None
- `ray_scope`: last
- `ddp_timeout`: 1800
- `torch_compile`: False
- `torch_compile_backend`: None
- `torch_compile_mode`: None
- `dispatch_batches`: None
- `split_batches`: None
- `include_tokens_per_second`: False
- `include_num_input_tokens_seen`: False
- `neftune_noise_alpha`: None
- `optim_target_modules`: None
- `batch_eval_metrics`: False
- `eval_on_start`: False
- `use_liger_kernel`: False
- `eval_use_gather_object`: False
- `batch_sampler`: batch_sampler
- `multi_dataset_batch_sampler`: proportional

</details>

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

| Epoch  | Step    | Training Loss |
|:------:|:-------:|:-------------:|
| 0.0003 | 1000    | 1.0069        |
| 0.0005 | 2000    | 0.9728        |
| 0.0008 | 3000    | 0.9549        |
| 0.0011 | 4000    | 0.9217        |
| 0.0013 | 5000    | 0.9116        |
| 0.0016 | 6000    | 0.8662        |
| 0.0019 | 7000    | 0.8412        |
| 0.0021 | 8000    | 0.7979        |
| 0.0024 | 9000    | 0.7829        |
| 0.0027 | 10000   | 0.7578        |
| 0.0029 | 11000   | 0.7402        |
| 0.0032 | 12000   | 0.7069        |
| 0.0035 | 13000   | 0.6906        |
| 0.0037 | 14000   | 0.6644        |
| 0.0040 | 15000   | 0.6516        |
| 0.0043 | 16000   | 0.6344        |
| 0.0045 | 17000   | 0.6395        |
| 0.0048 | 18000   | 0.6082        |
| 0.0051 | 19000   | 0.5944        |
| 0.0053 | 20000   | 0.5955        |
| 0.0056 | 21000   | 0.576         |
| 0.0059 | 22000   | 0.5723        |
| 0.0061 | 23000   | 0.5475        |
| 0.0064 | 24000   | 0.5452        |
| 0.0067 | 25000   | 0.5485        |
| 0.0069 | 26000   | 0.5143        |
| 0.0072 | 27000   | 0.5062        |
| 0.0075 | 28000   | 0.5118        |
| 0.0077 | 29000   | 0.4992        |
| 0.0080 | 30000   | 0.5031        |
| 0.0083 | 31000   | 0.4762        |
| 0.0085 | 32000   | 0.4773        |
| 0.0088 | 33000   | 0.4742        |
| 0.0091 | 34000   | 0.4692        |
| 0.0093 | 35000   | 0.464         |
| 0.0096 | 36000   | 0.4687        |
| 0.0099 | 37000   | 0.4592        |
| 0.0101 | 38000   | 0.4468        |
| 0.0104 | 39000   | 0.4425        |
| 0.0107 | 40000   | 0.4477        |
| 0.0109 | 41000   | 0.4336        |
| 0.0112 | 42000   | 0.4331        |
| 0.0115 | 43000   | 0.4248        |
| 0.0117 | 44000   | 0.4189        |
| 0.0120 | 45000   | 0.4147        |
| 0.0123 | 46000   | 0.4112        |
| 0.0125 | 47000   | 0.4051        |
| 0.0128 | 48000   | 0.399         |
| 0.0131 | 49000   | 0.3921        |
| 0.0133 | 50000   | 0.3917        |
| 0.0136 | 51000   | 0.4058        |
| 0.0139 | 52000   | 0.3843        |
| 0.0141 | 53000   | 0.3811        |
| 0.0144 | 54000   | 0.3733        |
| 0.0147 | 55000   | 0.3787        |
| 0.0149 | 56000   | 0.3859        |
| 0.0152 | 57000   | 0.3742        |
| 0.0155 | 58000   | 0.3682        |
| 0.0157 | 59000   | 0.3705        |
| 0.0160 | 60000   | 0.3483        |
| 0.0163 | 61000   | 0.3469        |
| 0.0165 | 62000   | 0.3586        |
| 0.0168 | 63000   | 0.3346        |
| 0.0171 | 64000   | 0.3474        |
| 0.0173 | 65000   | 0.3625        |
| 0.0176 | 66000   | 0.3501        |
| 0.0179 | 67000   | 0.3456        |
| 0.0181 | 68000   | 0.3383        |
| 0.0184 | 69000   | 0.3457        |
| 0.0187 | 70000   | 0.3437        |
| 0.0189 | 71000   | 0.3395        |
| 0.0192 | 72000   | 0.3399        |
| 0.0195 | 73000   | 0.324         |
| 0.0197 | 74000   | 0.338         |
| 0.0200 | 75000   | 0.3268        |
| 0.0203 | 76000   | 0.3298        |
| 0.0205 | 77000   | 0.3282        |
| 0.0208 | 78000   | 0.3356        |
| 0.0211 | 79000   | 0.3187        |
| 0.0213 | 80000   | 0.3155        |
| 0.0216 | 81000   | 0.3181        |
| 0.0219 | 82000   | 0.3085        |
| 0.0221 | 83000   | 0.3168        |
| 0.0224 | 84000   | 0.3162        |
| 0.0227 | 85000   | 0.3126        |
| 0.0229 | 86000   | 0.3026        |
| 0.0232 | 87000   | 0.3017        |
| 0.0235 | 88000   | 0.2963        |
| 0.0237 | 89000   | 0.3002        |
| 0.0240 | 90000   | 0.297         |
| 0.0243 | 91000   | 0.2993        |
| 0.0245 | 92000   | 0.306         |
| 0.0248 | 93000   | 0.2964        |
| 0.0251 | 94000   | 0.2992        |
| 0.0253 | 95000   | 0.2921        |
| 0.0256 | 96000   | 0.3103        |
| 0.0259 | 97000   | 0.2897        |
| 0.0261 | 98000   | 0.2843        |
| 0.0264 | 99000   | 0.2914        |
| 0.0267 | 100000  | 0.2952        |
| 0.0269 | 101000  | 0.2922        |
| 0.0272 | 102000  | 0.2807        |
| 0.0275 | 103000  | 0.2797        |
| 0.0277 | 104000  | 0.2849        |
| 0.0280 | 105000  | 0.2959        |
| 0.0283 | 106000  | 0.2823        |
| 0.0285 | 107000  | 0.2637        |
| 0.0288 | 108000  | 0.2804        |
| 0.0291 | 109000  | 0.2761        |
| 0.0293 | 110000  | 0.2821        |
| 0.0296 | 111000  | 0.2876        |
| 0.0299 | 112000  | 0.2699        |
| 0.0301 | 113000  | 0.2758        |
| 0.0304 | 114000  | 0.2802        |
| 0.0307 | 115000  | 0.2689        |
| 0.0309 | 116000  | 0.2871        |
| 0.0312 | 117000  | 0.2603        |
| 0.0315 | 118000  | 0.2728        |
| 0.0317 | 119000  | 0.2769        |
| 0.0320 | 120000  | 0.2527        |
| 0.0323 | 121000  | 0.2677        |
| 0.0325 | 122000  | 0.2748        |
| 0.0328 | 123000  | 0.2648        |
| 0.0331 | 124000  | 0.2645        |
| 0.0333 | 125000  | 0.2637        |
| 0.0336 | 126000  | 0.2613        |
| 0.0339 | 127000  | 0.261         |
| 0.0341 | 128000  | 0.2568        |
| 0.0344 | 129000  | 0.2611        |
| 0.0347 | 130000  | 0.2486        |
| 0.0349 | 131000  | 0.2535        |
| 0.0352 | 132000  | 0.2525        |
| 0.0355 | 133000  | 0.2457        |
| 0.0357 | 134000  | 0.2545        |
| 0.0360 | 135000  | 0.2596        |
| 0.0363 | 136000  | 0.2505        |
| 0.0365 | 137000  | 0.2454        |
| 0.0368 | 138000  | 0.2696        |
| 0.0371 | 139000  | 0.2567        |
| 0.0373 | 140000  | 0.2517        |
| 0.0376 | 141000  | 0.2436        |
| 0.0379 | 142000  | 0.2452        |
| 0.0381 | 143000  | 0.2427        |
| 0.0384 | 144000  | 0.2525        |
| 0.0387 | 145000  | 0.243         |
| 0.0389 | 146000  | 0.2417        |
| 0.0392 | 147000  | 0.2599        |
| 0.0395 | 148000  | 0.246         |
| 0.0397 | 149000  | 0.2379        |
| 0.0400 | 150000  | 0.2449        |
| 0.0403 | 151000  | 0.2333        |
| 0.0405 | 152000  | 0.2399        |
| 0.0408 | 153000  | 0.2409        |
| 0.0411 | 154000  | 0.2407        |
| 0.0413 | 155000  | 0.2369        |
| 0.0416 | 156000  | 0.2361        |
| 0.0419 | 157000  | 0.2331        |
| 0.0421 | 158000  | 0.232         |
| 0.0424 | 159000  | 0.2337        |
| 0.0427 | 160000  | 0.2331        |
| 0.0429 | 161000  | 0.2328        |
| 0.0432 | 162000  | 0.2278        |
| 0.0435 | 163000  | 0.2335        |
| 0.0437 | 164000  | 0.2301        |
| 0.0440 | 165000  | 0.2381        |
| 0.0443 | 166000  | 0.2298        |
| 0.0445 | 167000  | 0.2355        |
| 0.0448 | 168000  | 0.2254        |
| 0.0451 | 169000  | 0.2301        |
| 0.0453 | 170000  | 0.2319        |
| 0.0456 | 171000  | 0.2314        |
| 0.0459 | 172000  | 0.236         |
| 0.0461 | 173000  | 0.2348        |
| 0.0464 | 174000  | 0.231         |
| 0.0467 | 175000  | 0.2291        |
| 0.0469 | 176000  | 0.2246        |
| 0.0472 | 177000  | 0.2259        |
| 0.0475 | 178000  | 0.2254        |
| 0.0477 | 179000  | 0.2223        |
| 0.0480 | 180000  | 0.2285        |
| 0.0483 | 181000  | 0.2306        |
| 0.0485 | 182000  | 0.2233        |
| 0.0488 | 183000  | 0.2117        |
| 0.0491 | 184000  | 0.2219        |
| 0.0493 | 185000  | 0.2226        |
| 0.0496 | 186000  | 0.2161        |
| 0.0499 | 187000  | 0.2195        |
| 0.0501 | 188000  | 0.2208        |
| 0.0504 | 189000  | 0.2198        |
| 0.0507 | 190000  | 0.2236        |
| 0.0509 | 191000  | 0.2178        |
| 0.0512 | 192000  | 0.2087        |
| 0.0515 | 193000  | 0.2222        |
| 0.0517 | 194000  | 0.211         |
| 0.0520 | 195000  | 0.2287        |
| 0.0523 | 196000  | 0.2219        |
| 0.0525 | 197000  | 0.2096        |
| 0.0528 | 198000  | 0.2112        |
| 0.0531 | 199000  | 0.2108        |
| 0.0533 | 200000  | 0.2098        |
| 0.0536 | 201000  | 0.2176        |
| 0.0539 | 202000  | 0.2118        |
| 0.0541 | 203000  | 0.2248        |
| 0.0544 | 204000  | 0.2124        |
| 0.0547 | 205000  | 0.2133        |
| 0.0549 | 206000  | 0.2101        |
| 0.0552 | 207000  | 0.208         |
| 0.0555 | 208000  | 0.2129        |
| 0.0557 | 209000  | 0.208         |
| 0.0560 | 210000  | 0.2093        |
| 0.0563 | 211000  | 0.2123        |
| 0.0565 | 212000  | 0.205         |
| 0.0568 | 213000  | 0.2012        |
| 0.0571 | 214000  | 0.2078        |
| 0.0573 | 215000  | 0.2107        |
| 0.0576 | 216000  | 0.206         |
| 0.0579 | 217000  | 0.2055        |
| 0.0581 | 218000  | 0.2067        |
| 0.0584 | 219000  | 0.2143        |
| 0.0587 | 220000  | 0.204         |
| 0.0589 | 221000  | 0.2071        |
| 0.0592 | 222000  | 0.2026        |
| 0.0595 | 223000  | 0.1994        |
| 0.0597 | 224000  | 0.2045        |
| 0.0600 | 225000  | 0.2155        |
| 0.0603 | 226000  | 0.2075        |
| 0.0605 | 227000  | 0.195         |
| 0.0608 | 228000  | 0.2028        |
| 0.0611 | 229000  | 0.1973        |
| 0.0613 | 230000  | 0.2034        |
| 0.0616 | 231000  | 0.2039        |
| 0.0619 | 232000  | 0.1937        |
| 0.0621 | 233000  | 0.2           |
| 0.0624 | 234000  | 0.1958        |
| 0.0627 | 235000  | 0.1986        |
| 0.0629 | 236000  | 0.1975        |
| 0.0632 | 237000  | 0.2061        |
| 0.0635 | 238000  | 0.2021        |
| 0.0637 | 239000  | 0.1957        |
| 0.0640 | 240000  | 0.1997        |
| 0.0643 | 241000  | 0.1968        |
| 0.0645 | 242000  | 0.1881        |
| 0.0648 | 243000  | 0.2038        |
| 0.0651 | 244000  | 0.1991        |
| 0.0653 | 245000  | 0.1841        |
| 0.0656 | 246000  | 0.1919        |
| 0.0659 | 247000  | 0.187         |
| 0.0661 | 248000  | 0.1889        |
| 0.0664 | 249000  | 0.1987        |
| 0.0667 | 250000  | 0.1992        |
| 0.0669 | 251000  | 0.1913        |
| 0.0672 | 252000  | 0.1995        |
| 0.0675 | 253000  | 0.1875        |
| 0.0677 | 254000  | 0.1923        |
| 0.0680 | 255000  | 0.1773        |
| 0.0683 | 256000  | 0.1869        |
| 0.0685 | 257000  | 0.1975        |
| 0.0688 | 258000  | 0.1865        |
| 0.0691 | 259000  | 0.1889        |
| 0.0693 | 260000  | 0.1896        |
| 0.0696 | 261000  | 0.1829        |
| 0.0699 | 262000  | 0.1843        |
| 0.0701 | 263000  | 0.195         |
| 0.0704 | 264000  | 0.1818        |
| 0.0707 | 265000  | 0.1855        |
| 0.0709 | 266000  | 0.1841        |
| 0.0712 | 267000  | 0.1889        |
| 0.0715 | 268000  | 0.1814        |
| 0.0717 | 269000  | 0.1917        |
| 0.0720 | 270000  | 0.1862        |
| 0.0723 | 271000  | 0.1869        |
| 0.0725 | 272000  | 0.1859        |
| 0.0728 | 273000  | 0.182         |
| 0.0731 | 274000  | 0.1896        |
| 0.0733 | 275000  | 0.1936        |
| 0.0736 | 276000  | 0.1846        |
| 0.0739 | 277000  | 0.18          |
| 0.0741 | 278000  | 0.1812        |
| 0.0744 | 279000  | 0.1859        |
| 0.0747 | 280000  | 0.1785        |
| 0.0749 | 281000  | 0.1806        |
| 0.0752 | 282000  | 0.182         |
| 0.0755 | 283000  | 0.1848        |
| 0.0757 | 284000  | 0.1798        |
| 0.0760 | 285000  | 0.1853        |
| 0.0763 | 286000  | 0.1834        |
| 0.0765 | 287000  | 0.1815        |
| 0.0768 | 288000  | 0.1819        |
| 0.0771 | 289000  | 0.1808        |
| 0.0773 | 290000  | 0.1851        |
| 0.0776 | 291000  | 0.1823        |
| 0.0779 | 292000  | 0.179         |
| 0.0781 | 293000  | 0.1825        |
| 0.0784 | 294000  | 0.1751        |
| 0.0787 | 295000  | 0.1778        |
| 0.0789 | 296000  | 0.1773        |
| 0.0792 | 297000  | 0.1795        |
| 0.0795 | 298000  | 0.1854        |
| 0.0797 | 299000  | 0.1818        |
| 0.0800 | 300000  | 0.1734        |
| 0.0803 | 301000  | 0.1787        |
| 0.0805 | 302000  | 0.1807        |
| 0.0808 | 303000  | 0.1817        |
| 0.0811 | 304000  | 0.1722        |
| 0.0813 | 305000  | 0.1762        |
| 0.0816 | 306000  | 0.1741        |
| 0.0819 | 307000  | 0.1754        |
| 0.0821 | 308000  | 0.1713        |
| 0.0824 | 309000  | 0.1724        |
| 0.0827 | 310000  | 0.1745        |
| 0.0829 | 311000  | 0.1774        |
| 0.0832 | 312000  | 0.1763        |
| 0.0835 | 313000  | 0.1768        |
| 0.0837 | 314000  | 0.1717        |
| 0.0840 | 315000  | 0.1692        |
| 0.0843 | 316000  | 0.1721        |
| 0.0845 | 317000  | 0.1673        |
| 0.0848 | 318000  | 0.1762        |
| 0.0851 | 319000  | 0.1784        |
| 0.0853 | 320000  | 0.1697        |
| 0.0856 | 321000  | 0.172         |
| 0.0859 | 322000  | 0.1658        |
| 0.0861 | 323000  | 0.1761        |
| 0.0864 | 324000  | 0.1729        |
| 0.0867 | 325000  | 0.1672        |
| 0.0869 | 326000  | 0.1671        |
| 0.0872 | 327000  | 0.1685        |
| 0.0875 | 328000  | 0.1729        |
| 0.0877 | 329000  | 0.166         |
| 0.0880 | 330000  | 0.1712        |
| 0.0883 | 331000  | 0.1737        |
| 0.0885 | 332000  | 0.1723        |
| 0.0888 | 333000  | 0.1705        |
| 0.0891 | 334000  | 0.1718        |
| 0.0893 | 335000  | 0.1689        |
| 0.0896 | 336000  | 0.1747        |
| 0.0899 | 337000  | 0.1696        |
| 0.0901 | 338000  | 0.1712        |
| 0.0904 | 339000  | 0.1674        |
| 0.0907 | 340000  | 0.1709        |
| 0.0909 | 341000  | 0.169         |
| 0.0912 | 342000  | 0.1714        |
| 0.0915 | 343000  | 0.1544        |
| 0.0917 | 344000  | 0.1755        |
| 0.0920 | 345000  | 0.1689        |
| 0.0923 | 346000  | 0.1561        |
| 0.0925 | 347000  | 0.1712        |
| 0.0928 | 348000  | 0.1583        |
| 0.0931 | 349000  | 0.159         |
| 0.0933 | 350000  | 0.1715        |
| 0.0936 | 351000  | 0.1608        |
| 0.0939 | 352000  | 0.1703        |
| 0.0941 | 353000  | 0.1682        |
| 0.0944 | 354000  | 0.1622        |
| 0.0947 | 355000  | 0.1663        |
| 0.0949 | 356000  | 0.1632        |
| 0.0952 | 357000  | 0.1663        |
| 0.0955 | 358000  | 0.1643        |
| 0.0957 | 359000  | 0.1674        |
| 0.0960 | 360000  | 0.1634        |
| 0.0963 | 361000  | 0.1616        |
| 0.0965 | 362000  | 0.1691        |
| 0.0968 | 363000  | 0.1594        |
| 0.0971 | 364000  | 0.1589        |
| 0.0973 | 365000  | 0.1568        |
| 0.0976 | 366000  | 0.1586        |
| 0.0979 | 367000  | 0.1555        |
| 0.0981 | 368000  | 0.161         |
| 0.0984 | 369000  | 0.1615        |
| 0.0987 | 370000  | 0.1691        |
| 0.0989 | 371000  | 0.151         |
| 0.0992 | 372000  | 0.1653        |
| 0.0995 | 373000  | 0.1545        |
| 0.0997 | 374000  | 0.1627        |
| 0.1000 | 375000  | 0.1688        |
| 0.1003 | 376000  | 0.1594        |
| 0.1005 | 377000  | 0.1619        |
| 0.1008 | 378000  | 0.1517        |
| 0.1011 | 379000  | 0.1605        |
| 0.1013 | 380000  | 0.1576        |
| 0.1016 | 381000  | 0.1589        |
| 0.1019 | 382000  | 0.1643        |
| 0.1021 | 383000  | 0.164         |
| 0.1024 | 384000  | 0.158         |
| 0.1027 | 385000  | 0.1584        |
| 0.1029 | 386000  | 0.1565        |
| 0.1032 | 387000  | 0.1566        |
| 0.1035 | 388000  | 0.1625        |
| 0.1037 | 389000  | 0.1569        |
| 0.1040 | 390000  | 0.159         |
| 0.1043 | 391000  | 0.1541        |
| 0.1045 | 392000  | 0.159         |
| 0.1048 | 393000  | 0.1536        |
| 0.1051 | 394000  | 0.166         |
| 0.1053 | 395000  | 0.1639        |
| 0.1056 | 396000  | 0.1491        |
| 0.1059 | 397000  | 0.1567        |
| 0.1061 | 398000  | 0.1566        |
| 0.1064 | 399000  | 0.1641        |
| 0.1067 | 400000  | 0.1552        |
| 0.1069 | 401000  | 0.1476        |
| 0.1072 | 402000  | 0.157         |
| 0.1075 | 403000  | 0.1538        |
| 0.1077 | 404000  | 0.152         |
| 0.1080 | 405000  | 0.1525        |
| 0.1083 | 406000  | 0.155         |
| 0.1085 | 407000  | 0.1538        |
| 0.1088 | 408000  | 0.1506        |
| 0.1091 | 409000  | 0.1481        |
| 0.1093 | 410000  | 0.1603        |
| 0.1096 | 411000  | 0.1509        |
| 0.1099 | 412000  | 0.1628        |
| 0.1101 | 413000  | 0.151         |
| 0.1104 | 414000  | 0.1581        |
| 0.1107 | 415000  | 0.1511        |
| 0.1109 | 416000  | 0.1552        |
| 0.1112 | 417000  | 0.1553        |
| 0.1115 | 418000  | 0.1508        |
| 0.1117 | 419000  | 0.1515        |
| 0.1120 | 420000  | 0.1526        |
| 0.1123 | 421000  | 0.15          |
| 0.1125 | 422000  | 0.1497        |
| 0.1128 | 423000  | 0.1526        |
| 0.1131 | 424000  | 0.1547        |
| 0.1133 | 425000  | 0.151         |
| 0.1136 | 426000  | 0.1471        |
| 0.1139 | 427000  | 0.1576        |
| 0.1141 | 428000  | 0.1522        |
| 0.1144 | 429000  | 0.1506        |
| 0.1147 | 430000  | 0.1495        |
| 0.1149 | 431000  | 0.1518        |
| 0.1152 | 432000  | 0.1467        |
| 0.1155 | 433000  | 0.1511        |
| 0.1157 | 434000  | 0.1516        |
| 0.1160 | 435000  | 0.1476        |
| 0.1163 | 436000  | 0.1526        |
| 0.1165 | 437000  | 0.1474        |
| 0.1168 | 438000  | 0.1445        |
| 0.1171 | 439000  | 0.1408        |
| 0.1173 | 440000  | 0.1412        |
| 0.1176 | 441000  | 0.1445        |
| 0.1179 | 442000  | 0.145         |
| 0.1181 | 443000  | 0.1402        |
| 0.1184 | 444000  | 0.154         |
| 0.1187 | 445000  | 0.1446        |
| 0.1189 | 446000  | 0.1476        |
| 0.1192 | 447000  | 0.1565        |
| 0.1195 | 448000  | 0.1409        |
| 0.1197 | 449000  | 0.1511        |
| 0.1200 | 450000  | 0.139         |
| 0.1203 | 451000  | 0.1463        |
| 0.1205 | 452000  | 0.1453        |
| 0.1208 | 453000  | 0.1432        |
| 0.1211 | 454000  | 0.1559        |
| 0.1213 | 455000  | 0.1354        |
| 0.1216 | 456000  | 0.1419        |
| 0.1219 | 457000  | 0.1452        |
| 0.1221 | 458000  | 0.147         |
| 0.1224 | 459000  | 0.1453        |
| 0.1227 | 460000  | 0.153         |
| 0.1229 | 461000  | 0.1496        |
| 0.1232 | 462000  | 0.1464        |
| 0.1235 | 463000  | 0.1423        |
| 0.1237 | 464000  | 0.1403        |
| 0.1240 | 465000  | 0.1458        |
| 0.1243 | 466000  | 0.1508        |
| 0.1245 | 467000  | 0.1442        |
| 0.1248 | 468000  | 0.1521        |
| 0.1251 | 469000  | 0.1424        |
| 0.1253 | 470000  | 0.1545        |
| 0.1256 | 471000  | 0.1389        |
| 0.1259 | 472000  | 0.1408        |
| 0.1261 | 473000  | 0.1398        |
| 0.1264 | 474000  | 0.1333        |
| 0.1267 | 475000  | 0.1436        |
| 0.1269 | 476000  | 0.1423        |
| 0.1272 | 477000  | 0.1393        |
| 0.1275 | 478000  | 0.1465        |
| 0.1277 | 479000  | 0.1484        |
| 0.1280 | 480000  | 0.1412        |
| 0.1283 | 481000  | 0.143         |
| 0.1285 | 482000  | 0.139         |
| 0.1288 | 483000  | 0.1447        |
| 0.1291 | 484000  | 0.1388        |
| 0.1293 | 485000  | 0.1414        |
| 0.1296 | 486000  | 0.1444        |
| 0.1299 | 487000  | 0.1365        |
| 0.1301 | 488000  | 0.1403        |
| 0.1304 | 489000  | 0.1398        |
| 0.1307 | 490000  | 0.1302        |
| 0.1309 | 491000  | 0.1443        |
| 0.1312 | 492000  | 0.1402        |
| 0.1315 | 493000  | 0.1451        |
| 0.1317 | 494000  | 0.1397        |
| 0.1320 | 495000  | 0.137         |
| 0.1323 | 496000  | 0.1493        |
| 0.1325 | 497000  | 0.1415        |
| 0.1328 | 498000  | 0.1365        |
| 0.1331 | 499000  | 0.1323        |
| 0.1333 | 500000  | 0.1384        |
| 0.1336 | 501000  | 0.1307        |
| 0.1339 | 502000  | 0.1385        |
| 0.1341 | 503000  | 0.1394        |
| 0.1344 | 504000  | 0.1393        |
| 0.1347 | 505000  | 0.1455        |
| 0.1349 | 506000  | 0.1374        |
| 0.1352 | 507000  | 0.1381        |
| 0.1355 | 508000  | 0.1363        |
| 0.1357 | 509000  | 0.1392        |
| 0.1360 | 510000  | 0.1399        |
| 0.1363 | 511000  | 0.1356        |
| 0.1365 | 512000  | 0.1395        |
| 0.1368 | 513000  | 0.1402        |
| 0.1371 | 514000  | 0.1382        |
| 0.1373 | 515000  | 0.1408        |
| 0.1376 | 516000  | 0.1398        |
| 0.1379 | 517000  | 0.1405        |
| 0.1381 | 518000  | 0.1351        |
| 0.1384 | 519000  | 0.1371        |
| 0.1387 | 520000  | 0.1302        |
| 0.1389 | 521000  | 0.14          |
| 0.1392 | 522000  | 0.1363        |
| 0.1395 | 523000  | 0.1313        |
| 0.1397 | 524000  | 0.1299        |
| 0.1400 | 525000  | 0.1372        |
| 0.1403 | 526000  | 0.1416        |
| 0.1405 | 527000  | 0.1295        |
| 0.1408 | 528000  | 0.1359        |
| 0.1411 | 529000  | 0.1383        |
| 0.1413 | 530000  | 0.1378        |
| 0.1416 | 531000  | 0.135         |
| 0.1419 | 532000  | 0.1405        |
| 0.1421 | 533000  | 0.14          |
| 0.1424 | 534000  | 0.1321        |
| 0.1427 | 535000  | 0.1303        |
| 0.1429 | 536000  | 0.1319        |
| 0.1432 | 537000  | 0.1312        |
| 0.1435 | 538000  | 0.1338        |
| 0.1437 | 539000  | 0.1361        |
| 0.1440 | 540000  | 0.139         |
| 0.1443 | 541000  | 0.1364        |
| 0.1445 | 542000  | 0.1316        |
| 0.1448 | 543000  | 0.1331        |
| 0.1451 | 544000  | 0.1269        |
| 0.1453 | 545000  | 0.1294        |
| 0.1456 | 546000  | 0.135         |
| 0.1459 | 547000  | 0.1328        |
| 0.1461 | 548000  | 0.1296        |
| 0.1464 | 549000  | 0.1305        |
| 0.1467 | 550000  | 0.1334        |
| 0.1469 | 551000  | 0.1362        |
| 0.1472 | 552000  | 0.1318        |
| 0.1475 | 553000  | 0.1312        |
| 0.1477 | 554000  | 0.1293        |
| 0.1480 | 555000  | 0.1324        |
| 0.1483 | 556000  | 0.1256        |
| 0.1485 | 557000  | 0.1227        |
| 0.1488 | 558000  | 0.1239        |
| 0.1491 | 559000  | 0.1287        |
| 0.1493 | 560000  | 0.1307        |
| 0.1496 | 561000  | 0.1336        |
| 0.1499 | 562000  | 0.133         |
| 0.1501 | 563000  | 0.1278        |
| 0.1504 | 564000  | 0.1339        |
| 0.1507 | 565000  | 0.1321        |
| 0.1509 | 566000  | 0.1322        |
| 0.1512 | 567000  | 0.1262        |
| 0.1515 | 568000  | 0.1331        |
| 0.1517 | 569000  | 0.1361        |
| 0.1520 | 570000  | 0.1307        |
| 0.1523 | 571000  | 0.133         |
| 0.1525 | 572000  | 0.1293        |
| 0.1528 | 573000  | 0.1283        |
| 0.1531 | 574000  | 0.1275        |
| 0.1533 | 575000  | 0.1329        |
| 0.1536 | 576000  | 0.1307        |
| 0.1539 | 577000  | 0.1245        |
| 0.1541 | 578000  | 0.1313        |
| 0.1544 | 579000  | 0.1256        |
| 0.1547 | 580000  | 0.1257        |
| 0.1549 | 581000  | 0.1194        |
| 0.1552 | 582000  | 0.125         |
| 0.1555 | 583000  | 0.1345        |
| 0.1557 | 584000  | 0.1308        |
| 0.1560 | 585000  | 0.1318        |
| 0.1563 | 586000  | 0.1348        |
| 0.1565 | 587000  | 0.1231        |
| 0.1568 | 588000  | 0.1282        |
| 0.1571 | 589000  | 0.1281        |
| 0.1573 | 590000  | 0.1221        |
| 0.1576 | 591000  | 0.1234        |
| 0.1579 | 592000  | 0.1334        |
| 0.1581 | 593000  | 0.1249        |
| 0.1584 | 594000  | 0.1216        |
| 0.1587 | 595000  | 0.1295        |
| 0.1589 | 596000  | 0.1191        |
| 0.1592 | 597000  | 0.1267        |
| 0.1595 | 598000  | 0.1273        |
| 0.1597 | 599000  | 0.124         |
| 0.1600 | 600000  | 0.1271        |
| 0.1603 | 601000  | 0.1284        |
| 0.1605 | 602000  | 0.1285        |
| 0.1608 | 603000  | 0.1288        |
| 0.1611 | 604000  | 0.1252        |
| 0.1613 | 605000  | 0.1255        |
| 0.1616 | 606000  | 0.1289        |
| 0.1619 | 607000  | 0.1294        |
| 0.1621 | 608000  | 0.1294        |
| 0.1624 | 609000  | 0.1288        |
| 0.1627 | 610000  | 0.1336        |
| 0.1629 | 611000  | 0.125         |
| 0.1632 | 612000  | 0.1288        |
| 0.1635 | 613000  | 0.122         |
| 0.1637 | 614000  | 0.1204        |
| 0.1640 | 615000  | 0.1245        |
| 0.1643 | 616000  | 0.1303        |
| 0.1645 | 617000  | 0.1187        |
| 0.1648 | 618000  | 0.1223        |
| 0.1651 | 619000  | 0.1311        |
| 0.1653 | 620000  | 0.1202        |
| 0.1656 | 621000  | 0.1271        |
| 0.1659 | 622000  | 0.1218        |
| 0.1661 | 623000  | 0.1218        |
| 0.1664 | 624000  | 0.1247        |
| 0.1667 | 625000  | 0.1289        |
| 0.1669 | 626000  | 0.1261        |
| 0.1672 | 627000  | 0.1262        |
| 0.1675 | 628000  | 0.1251        |
| 0.1677 | 629000  | 0.1271        |
| 0.1680 | 630000  | 0.1243        |
| 0.1683 | 631000  | 0.1266        |
| 0.1685 | 632000  | 0.1257        |
| 0.1688 | 633000  | 0.1215        |
| 0.1691 | 634000  | 0.1236        |
| 0.1693 | 635000  | 0.1267        |
| 0.1696 | 636000  | 0.1209        |
| 0.1699 | 637000  | 0.1188        |
| 0.1701 | 638000  | 0.1267        |
| 0.1704 | 639000  | 0.1259        |
| 0.1707 | 640000  | 0.1225        |
| 0.1709 | 641000  | 0.1183        |
| 0.1712 | 642000  | 0.1202        |
| 0.1715 | 643000  | 0.1279        |
| 0.1717 | 644000  | 0.1191        |
| 0.1720 | 645000  | 0.1206        |
| 0.1723 | 646000  | 0.1178        |
| 0.1725 | 647000  | 0.1234        |
| 0.1728 | 648000  | 0.1259        |
| 0.1731 | 649000  | 0.1227        |
| 0.1733 | 650000  | 0.1211        |
| 0.1736 | 651000  | 0.1216        |
| 0.1739 | 652000  | 0.1182        |
| 0.1741 | 653000  | 0.1205        |
| 0.1744 | 654000  | 0.1187        |
| 0.1747 | 655000  | 0.1144        |
| 0.1749 | 656000  | 0.1216        |
| 0.1752 | 657000  | 0.1287        |
| 0.1755 | 658000  | 0.122         |
| 0.1757 | 659000  | 0.1213        |
| 0.1760 | 660000  | 0.1217        |
| 0.1763 | 661000  | 0.1256        |
| 0.1765 | 662000  | 0.1227        |
| 0.1768 | 663000  | 0.1219        |
| 0.1771 | 664000  | 0.1261        |
| 0.1773 | 665000  | 0.1169        |
| 0.1776 | 666000  | 0.1192        |
| 0.1779 | 667000  | 0.1187        |
| 0.1781 | 668000  | 0.1117        |
| 0.1784 | 669000  | 0.1189        |
| 0.1787 | 670000  | 0.12          |
| 0.1789 | 671000  | 0.1204        |
| 0.1792 | 672000  | 0.1208        |
| 0.1795 | 673000  | 0.119         |
| 0.1797 | 674000  | 0.1161        |
| 0.1800 | 675000  | 0.1167        |
| 0.1803 | 676000  | 0.1235        |
| 0.1805 | 677000  | 0.1276        |
| 0.1808 | 678000  | 0.1188        |
| 0.1811 | 679000  | 0.1135        |
| 0.1813 | 680000  | 0.1187        |
| 0.1816 | 681000  | 0.1165        |
| 0.1819 | 682000  | 0.1224        |
| 0.1821 | 683000  | 0.125         |
| 0.1824 | 684000  | 0.1146        |
| 0.1827 | 685000  | 0.1162        |
| 0.1829 | 686000  | 0.1172        |
| 0.1832 | 687000  | 0.1197        |
| 0.1835 | 688000  | 0.113         |
| 0.1837 | 689000  | 0.1216        |
| 0.1840 | 690000  | 0.1144        |
| 0.1843 | 691000  | 0.1274        |
| 0.1845 | 692000  | 0.1136        |
| 0.1848 | 693000  | 0.1202        |
| 0.1851 | 694000  | 0.1249        |
| 0.1853 | 695000  | 0.1195        |
| 0.1856 | 696000  | 0.1158        |
| 0.1859 | 697000  | 0.1145        |
| 0.1861 | 698000  | 0.1187        |
| 0.1864 | 699000  | 0.1173        |
| 0.1867 | 700000  | 0.1181        |
| 0.1869 | 701000  | 0.1236        |
| 0.1872 | 702000  | 0.1223        |
| 0.1875 | 703000  | 0.1147        |
| 0.1877 | 704000  | 0.1197        |
| 0.1880 | 705000  | 0.1125        |
| 0.1883 | 706000  | 0.1175        |
| 0.1885 | 707000  | 0.1239        |
| 0.1888 | 708000  | 0.1263        |
| 0.1891 | 709000  | 0.1229        |
| 0.1893 | 710000  | 0.1202        |
| 0.1896 | 711000  | 0.1159        |
| 0.1899 | 712000  | 0.1232        |
| 0.1901 | 713000  | 0.1197        |
| 0.1904 | 714000  | 0.121         |
| 0.1907 | 715000  | 0.1189        |
| 0.1909 | 716000  | 0.1183        |
| 0.1912 | 717000  | 0.1091        |
| 0.1915 | 718000  | 0.1186        |
| 0.1917 | 719000  | 0.115         |
| 0.1920 | 720000  | 0.1146        |
| 0.1923 | 721000  | 0.1165        |
| 0.1925 | 722000  | 0.1192        |
| 0.1928 | 723000  | 0.1163        |
| 0.1931 | 724000  | 0.1162        |
| 0.1933 | 725000  | 0.1156        |
| 0.1936 | 726000  | 0.1218        |
| 0.1939 | 727000  | 0.1154        |
| 0.1941 | 728000  | 0.1131        |
| 0.1944 | 729000  | 0.118         |
| 0.1947 | 730000  | 0.1156        |
| 0.1949 | 731000  | 0.1193        |
| 0.1952 | 732000  | 0.1143        |
| 0.1955 | 733000  | 0.1211        |
| 0.1957 | 734000  | 0.1187        |
| 0.1960 | 735000  | 0.12          |
| 0.1963 | 736000  | 0.1164        |
| 0.1965 | 737000  | 0.1173        |
| 0.1968 | 738000  | 0.1151        |
| 0.1971 | 739000  | 0.1143        |
| 0.1973 | 740000  | 0.1141        |
| 0.1976 | 741000  | 0.1174        |
| 0.1979 | 742000  | 0.1185        |
| 0.1981 | 743000  | 0.1133        |
| 0.1984 | 744000  | 0.1174        |
| 0.1987 | 745000  | 0.1154        |
| 0.1989 | 746000  | 0.1138        |
| 0.1992 | 747000  | 0.1203        |
| 0.1995 | 748000  | 0.1119        |
| 0.1997 | 749000  | 0.111         |
| 0.2000 | 750000  | 0.1174        |
| 0.2003 | 751000  | 0.1204        |
| 0.2005 | 752000  | 0.1177        |
| 0.2008 | 753000  | 0.1139        |
| 0.2011 | 754000  | 0.1138        |
| 0.2013 | 755000  | 0.1179        |
| 0.2016 | 756000  | 0.1094        |
| 0.2019 | 757000  | 0.1092        |
| 0.2021 | 758000  | 0.1108        |
| 0.2024 | 759000  | 0.1125        |
| 0.2027 | 760000  | 0.1202        |
| 0.2029 | 761000  | 0.1119        |
| 0.2032 | 762000  | 0.1151        |
| 0.2035 | 763000  | 0.1169        |
| 0.2037 | 764000  | 0.1109        |
| 0.2040 | 765000  | 0.1112        |
| 0.2043 | 766000  | 0.1102        |
| 0.2045 | 767000  | 0.119         |
| 0.2048 | 768000  | 0.1131        |
| 0.2051 | 769000  | 0.1155        |
| 0.2053 | 770000  | 0.1133        |
| 0.2056 | 771000  | 0.1127        |
| 0.2059 | 772000  | 0.1116        |
| 0.2061 | 773000  | 0.1122        |
| 0.2064 | 774000  | 0.1151        |
| 0.2067 | 775000  | 0.1163        |
| 0.2069 | 776000  | 0.1162        |
| 0.2072 | 777000  | 0.1096        |
| 0.2075 | 778000  | 0.1151        |
| 0.2077 | 779000  | 0.1156        |
| 0.2080 | 780000  | 0.1135        |
| 0.2083 | 781000  | 0.1084        |
| 0.2085 | 782000  | 0.114         |
| 0.2088 | 783000  | 0.1128        |
| 0.2091 | 784000  | 0.1142        |
| 0.2093 | 785000  | 0.1092        |
| 0.2096 | 786000  | 0.1067        |
| 0.2099 | 787000  | 0.1156        |
| 0.2101 | 788000  | 0.1094        |
| 0.2104 | 789000  | 0.1078        |
| 0.2107 | 790000  | 0.1133        |
| 0.2109 | 791000  | 0.1165        |
| 0.2112 | 792000  | 0.1116        |
| 0.2115 | 793000  | 0.1111        |
| 0.2117 | 794000  | 0.1086        |
| 0.2120 | 795000  | 0.1114        |
| 0.2123 | 796000  | 0.1069        |
| 0.2125 | 797000  | 0.1094        |
| 0.2128 | 798000  | 0.1125        |
| 0.2131 | 799000  | 0.112         |
| 0.2133 | 800000  | 0.1107        |
| 0.2136 | 801000  | 0.1085        |
| 0.2139 | 802000  | 0.1067        |
| 0.2141 | 803000  | 0.1149        |
| 0.2144 | 804000  | 0.1068        |
| 0.2147 | 805000  | 0.1124        |
| 0.2149 | 806000  | 0.1109        |
| 0.2152 | 807000  | 0.1094        |
| 0.2155 | 808000  | 0.1097        |
| 0.2157 | 809000  | 0.1106        |
| 0.2160 | 810000  | 0.1152        |
| 0.2163 | 811000  | 0.1123        |
| 0.2165 | 812000  | 0.1102        |
| 0.2168 | 813000  | 0.11          |
| 0.2171 | 814000  | 0.1           |
| 0.2173 | 815000  | 0.1127        |
| 0.2176 | 816000  | 0.1135        |
| 0.2179 | 817000  | 0.1127        |
| 0.2181 | 818000  | 0.108         |
| 0.2184 | 819000  | 0.1119        |
| 0.2187 | 820000  | 0.1103        |
| 0.2189 | 821000  | 0.1084        |
| 0.2192 | 822000  | 0.1076        |
| 0.2195 | 823000  | 0.1145        |
| 0.2197 | 824000  | 0.109         |
| 0.2200 | 825000  | 0.1119        |
| 0.2203 | 826000  | 0.1117        |
| 0.2205 | 827000  | 0.1117        |
| 0.2208 | 828000  | 0.1062        |
| 0.2211 | 829000  | 0.1113        |
| 0.2213 | 830000  | 0.1101        |
| 0.2216 | 831000  | 0.1053        |
| 0.2219 | 832000  | 0.1122        |
| 0.2221 | 833000  | 0.1091        |
| 0.2224 | 834000  | 0.1106        |
| 0.2227 | 835000  | 0.1062        |
| 0.2229 | 836000  | 0.1091        |
| 0.2232 | 837000  | 0.1144        |
| 0.2235 | 838000  | 0.1106        |
| 0.2237 | 839000  | 0.1058        |
| 0.2240 | 840000  | 0.1085        |
| 0.2243 | 841000  | 0.1154        |
| 0.2245 | 842000  | 0.1096        |
| 0.2248 | 843000  | 0.1062        |
| 0.2251 | 844000  | 0.1089        |
| 0.2253 | 845000  | 0.108         |
| 0.2256 | 846000  | 0.1086        |
| 0.2259 | 847000  | 0.1084        |
| 0.2261 | 848000  | 0.1056        |
| 0.2264 | 849000  | 0.1042        |
| 0.2267 | 850000  | 0.1204        |
| 0.2269 | 851000  | 0.1053        |
| 0.2272 | 852000  | 0.1053        |
| 0.2275 | 853000  | 0.1065        |
| 0.2277 | 854000  | 0.1157        |
| 0.2280 | 855000  | 0.1112        |
| 0.2283 | 856000  | 0.1058        |
| 0.2285 | 857000  | 0.1084        |
| 0.2288 | 858000  | 0.1066        |
| 0.2291 | 859000  | 0.1116        |
| 0.2293 | 860000  | 0.1047        |
| 0.2296 | 861000  | 0.1145        |
| 0.2299 | 862000  | 0.1094        |
| 0.2301 | 863000  | 0.1108        |
| 0.2304 | 864000  | 0.1038        |
| 0.2307 | 865000  | 0.1044        |
| 0.2309 | 866000  | 0.106         |
| 0.2312 | 867000  | 0.105         |
| 0.2315 | 868000  | 0.108         |
| 0.2317 | 869000  | 0.1108        |
| 0.2320 | 870000  | 0.113         |
| 0.2323 | 871000  | 0.108         |
| 0.2325 | 872000  | 0.1069        |
| 0.2328 | 873000  | 0.1098        |
| 0.2331 | 874000  | 0.1021        |
| 0.2333 | 875000  | 0.109         |
| 0.2336 | 876000  | 0.1104        |
| 0.2339 | 877000  | 0.1043        |
| 0.2341 | 878000  | 0.1057        |
| 0.2344 | 879000  | 0.105         |
| 0.2347 | 880000  | 0.1042        |
| 0.2349 | 881000  | 0.1116        |
| 0.2352 | 882000  | 0.1151        |
| 0.2355 | 883000  | 0.1043        |
| 0.2357 | 884000  | 0.1023        |
| 0.2360 | 885000  | 0.1084        |
| 0.2363 | 886000  | 0.1103        |
| 0.2365 | 887000  | 0.1028        |
| 0.2368 | 888000  | 0.1055        |
| 0.2371 | 889000  | 0.1023        |
| 0.2373 | 890000  | 0.1099        |
| 0.2376 | 891000  | 0.1037        |
| 0.2379 | 892000  | 0.1068        |
| 0.2381 | 893000  | 0.1128        |
| 0.2384 | 894000  | 0.1023        |
| 0.2387 | 895000  | 0.1023        |
| 0.2389 | 896000  | 0.106         |
| 0.2392 | 897000  | 0.1005        |
| 0.2395 | 898000  | 0.1013        |
| 0.2397 | 899000  | 0.1131        |
| 0.2400 | 900000  | 0.107         |
| 0.2403 | 901000  | 0.1096        |
| 0.2405 | 902000  | 0.0963        |
| 0.2408 | 903000  | 0.1076        |
| 0.2411 | 904000  | 0.102         |
| 0.2413 | 905000  | 0.1147        |
| 0.2416 | 906000  | 0.1111        |
| 0.2419 | 907000  | 0.1035        |
| 0.2421 | 908000  | 0.1059        |
| 0.2424 | 909000  | 0.1037        |
| 0.2427 | 910000  | 0.1047        |
| 0.2429 | 911000  | 0.1049        |
| 0.2432 | 912000  | 0.1097        |
| 0.2435 | 913000  | 0.1062        |
| 0.2437 | 914000  | 0.1016        |
| 0.2440 | 915000  | 0.1061        |
| 0.2443 | 916000  | 0.1089        |
| 0.2445 | 917000  | 0.1032        |
| 0.2448 | 918000  | 0.1053        |
| 0.2451 | 919000  | 0.1075        |
| 0.2453 | 920000  | 0.1048        |
| 0.2456 | 921000  | 0.1007        |
| 0.2459 | 922000  | 0.11          |
| 0.2461 | 923000  | 0.1034        |
| 0.2464 | 924000  | 0.1059        |
| 0.2467 | 925000  | 0.1063        |
| 0.2469 | 926000  | 0.1051        |
| 0.2472 | 927000  | 0.1064        |
| 0.2475 | 928000  | 0.0986        |
| 0.2477 | 929000  | 0.1037        |
| 0.2480 | 930000  | 0.1093        |
| 0.2483 | 931000  | 0.102         |
| 0.2485 | 932000  | 0.0985        |
| 0.2488 | 933000  | 0.1023        |
| 0.2491 | 934000  | 0.104         |
| 0.2493 | 935000  | 0.1108        |
| 0.2496 | 936000  | 0.1061        |
| 0.2499 | 937000  | 0.1053        |
| 0.2501 | 938000  | 0.1021        |
| 0.2504 | 939000  | 0.1073        |
| 0.2507 | 940000  | 0.1035        |
| 0.2509 | 941000  | 0.1026        |
| 0.2512 | 942000  | 0.104         |
| 0.2515 | 943000  | 0.0985        |
| 0.2517 | 944000  | 0.1095        |
| 0.2520 | 945000  | 0.1001        |
| 0.2523 | 946000  | 0.0996        |
| 0.2525 | 947000  | 0.1069        |
| 0.2528 | 948000  | 0.0987        |
| 0.2531 | 949000  | 0.1039        |
| 0.2533 | 950000  | 0.1078        |
| 0.2536 | 951000  | 0.1051        |
| 0.2539 | 952000  | 0.1008        |
| 0.2541 | 953000  | 0.0996        |
| 0.2544 | 954000  | 0.1079        |
| 0.2547 | 955000  | 0.1041        |
| 0.2549 | 956000  | 0.1035        |
| 0.2552 | 957000  | 0.1042        |
| 0.2555 | 958000  | 0.104         |
| 0.2557 | 959000  | 0.1055        |
| 0.2560 | 960000  | 0.1029        |
| 0.2563 | 961000  | 0.0974        |
| 0.2565 | 962000  | 0.1063        |
| 0.2568 | 963000  | 0.1036        |
| 0.2571 | 964000  | 0.103         |
| 0.2573 | 965000  | 0.1062        |
| 0.2576 | 966000  | 0.1064        |
| 0.2579 | 967000  | 0.1051        |
| 0.2581 | 968000  | 0.1034        |
| 0.2584 | 969000  | 0.102         |
| 0.2587 | 970000  | 0.1028        |
| 0.2589 | 971000  | 0.1067        |
| 0.2592 | 972000  | 0.1069        |
| 0.2595 | 973000  | 0.107         |
| 0.2597 | 974000  | 0.1013        |
| 0.2600 | 975000  | 0.1076        |
| 0.2603 | 976000  | 0.1048        |
| 0.2605 | 977000  | 0.0963        |
| 0.2608 | 978000  | 0.1066        |
| 0.2611 | 979000  | 0.0928        |
| 0.2613 | 980000  | 0.1102        |
| 0.2616 | 981000  | 0.1002        |
| 0.2619 | 982000  | 0.099         |
| 0.2621 | 983000  | 0.1013        |
| 0.2624 | 984000  | 0.107         |
| 0.2627 | 985000  | 0.1023        |
| 0.2629 | 986000  | 0.098         |
| 0.2632 | 987000  | 0.1           |
| 0.2635 | 988000  | 0.0978        |
| 0.2637 | 989000  | 0.097         |
| 0.2640 | 990000  | 0.106         |
| 0.2643 | 991000  | 0.1038        |
| 0.2645 | 992000  | 0.0997        |
| 0.2648 | 993000  | 0.1055        |
| 0.2651 | 994000  | 0.1055        |
| 0.2653 | 995000  | 0.0988        |
| 0.2656 | 996000  | 0.1016        |
| 0.2659 | 997000  | 0.1015        |
| 0.2661 | 998000  | 0.0972        |
| 0.2664 | 999000  | 0.101         |
| 0.2667 | 1000000 | 0.1028        |
| 0.2669 | 1001000 | 0.1043        |
| 0.2672 | 1002000 | 0.1006        |
| 0.2675 | 1003000 | 0.0998        |
| 0.2677 | 1004000 | 0.1076        |
| 0.2680 | 1005000 | 0.0998        |
| 0.2683 | 1006000 | 0.1018        |
| 0.2685 | 1007000 | 0.1065        |
| 0.2688 | 1008000 | 0.1017        |
| 0.2691 | 1009000 | 0.1011        |
| 0.2693 | 1010000 | 0.1003        |
| 0.2696 | 1011000 | 0.0985        |
| 0.2699 | 1012000 | 0.1004        |
| 0.2701 | 1013000 | 0.1052        |
| 0.2704 | 1014000 | 0.107         |
| 0.2707 | 1015000 | 0.1112        |
| 0.2709 | 1016000 | 0.1087        |
| 0.2712 | 1017000 | 0.0982        |
| 0.2715 | 1018000 | 0.1027        |
| 0.2717 | 1019000 | 0.1071        |
| 0.2720 | 1020000 | 0.0989        |
| 0.2723 | 1021000 | 0.0997        |
| 0.2725 | 1022000 | 0.1003        |
| 0.2728 | 1023000 | 0.1055        |
| 0.2731 | 1024000 | 0.102         |
| 0.2733 | 1025000 | 0.0965        |
| 0.2736 | 1026000 | 0.1017        |
| 0.2739 | 1027000 | 0.1027        |
| 0.2741 | 1028000 | 0.1033        |
| 0.2744 | 1029000 | 0.109         |
| 0.2747 | 1030000 | 0.097         |
| 0.2749 | 1031000 | 0.0998        |
| 0.2752 | 1032000 | 0.0968        |
| 0.2755 | 1033000 | 0.0963        |
| 0.2757 | 1034000 | 0.1004        |
| 0.2760 | 1035000 | 0.1026        |
| 0.2763 | 1036000 | 0.0977        |
| 0.2765 | 1037000 | 0.1068        |
| 0.2768 | 1038000 | 0.0964        |
| 0.2771 | 1039000 | 0.104         |
| 0.2773 | 1040000 | 0.1055        |
| 0.2776 | 1041000 | 0.0985        |
| 0.2779 | 1042000 | 0.0991        |
| 0.2781 | 1043000 | 0.1075        |
| 0.2784 | 1044000 | 0.0961        |
| 0.2787 | 1045000 | 0.0922        |
| 0.2789 | 1046000 | 0.099         |
| 0.2792 | 1047000 | 0.0974        |
| 0.2795 | 1048000 | 0.1057        |
| 0.2797 | 1049000 | 0.0961        |
| 0.2800 | 1050000 | 0.1052        |
| 0.2803 | 1051000 | 0.0989        |
| 0.2805 | 1052000 | 0.1027        |
| 0.2808 | 1053000 | 0.0963        |
| 0.2811 | 1054000 | 0.098         |
| 0.2813 | 1055000 | 0.0961        |
| 0.2816 | 1056000 | 0.099         |
| 0.2819 | 1057000 | 0.0974        |
| 0.2821 | 1058000 | 0.1001        |
| 0.2824 | 1059000 | 0.1025        |
| 0.2827 | 1060000 | 0.1011        |
| 0.2829 | 1061000 | 0.0988        |
| 0.2832 | 1062000 | 0.0971        |
| 0.2835 | 1063000 | 0.1112        |
| 0.2837 | 1064000 | 0.1007        |
| 0.2840 | 1065000 | 0.0994        |
| 0.2843 | 1066000 | 0.1018        |
| 0.2845 | 1067000 | 0.1019        |
| 0.2848 | 1068000 | 0.0965        |
| 0.2851 | 1069000 | 0.0993        |
| 0.2853 | 1070000 | 0.1002        |
| 0.2856 | 1071000 | 0.1093        |
| 0.2859 | 1072000 | 0.1005        |
| 0.2861 | 1073000 | 0.1005        |
| 0.2864 | 1074000 | 0.0997        |
| 0.2867 | 1075000 | 0.0956        |
| 0.2869 | 1076000 | 0.1032        |
| 0.2872 | 1077000 | 0.0972        |
| 0.2875 | 1078000 | 0.1008        |
| 0.2877 | 1079000 | 0.0993        |
| 0.2880 | 1080000 | 0.0955        |
| 0.2883 | 1081000 | 0.1035        |
| 0.2885 | 1082000 | 0.0975        |
| 0.2888 | 1083000 | 0.1062        |
| 0.2891 | 1084000 | 0.1014        |
| 0.2893 | 1085000 | 0.0995        |
| 0.2896 | 1086000 | 0.0987        |
| 0.2899 | 1087000 | 0.0971        |
| 0.2901 | 1088000 | 0.1015        |
| 0.2904 | 1089000 | 0.0957        |
| 0.2907 | 1090000 | 0.0959        |
| 0.2909 | 1091000 | 0.0915        |
| 0.2912 | 1092000 | 0.0981        |
| 0.2915 | 1093000 | 0.0991        |
| 0.2917 | 1094000 | 0.0895        |
| 0.2920 | 1095000 | 0.0924        |
| 0.2923 | 1096000 | 0.0967        |
| 0.2925 | 1097000 | 0.1011        |
| 0.2928 | 1098000 | 0.0997        |
| 0.2931 | 1099000 | 0.0968        |
| 0.2933 | 1100000 | 0.1005        |
| 0.2936 | 1101000 | 0.0976        |
| 0.2939 | 1102000 | 0.102         |
| 0.2941 | 1103000 | 0.1017        |
| 0.2944 | 1104000 | 0.0982        |
| 0.2947 | 1105000 | 0.1012        |
| 0.2949 | 1106000 | 0.0995        |
| 0.2952 | 1107000 | 0.1019        |
| 0.2955 | 1108000 | 0.0991        |
| 0.2957 | 1109000 | 0.1043        |
| 0.2960 | 1110000 | 0.1051        |
| 0.2963 | 1111000 | 0.0966        |
| 0.2965 | 1112000 | 0.0964        |
| 0.2968 | 1113000 | 0.0945        |
| 0.2971 | 1114000 | 0.0988        |
| 0.2973 | 1115000 | 0.1048        |
| 0.2976 | 1116000 | 0.0982        |
| 0.2979 | 1117000 | 0.1012        |
| 0.2981 | 1118000 | 0.0947        |
| 0.2984 | 1119000 | 0.0981        |
| 0.2987 | 1120000 | 0.0948        |
| 0.2989 | 1121000 | 0.095         |
| 0.2992 | 1122000 | 0.1053        |
| 0.2995 | 1123000 | 0.103         |
| 0.2997 | 1124000 | 0.106         |
| 0.3000 | 1125000 | 0.0998        |
| 0.3003 | 1126000 | 0.0996        |
| 0.3005 | 1127000 | 0.0986        |
| 0.3008 | 1128000 | 0.097         |
| 0.3011 | 1129000 | 0.0952        |
| 0.3013 | 1130000 | 0.0992        |
| 0.3016 | 1131000 | 0.0984        |
| 0.3019 | 1132000 | 0.1           |
| 0.3021 | 1133000 | 0.0961        |
| 0.3024 | 1134000 | 0.0989        |
| 0.3027 | 1135000 | 0.093         |
| 0.3029 | 1136000 | 0.089         |
| 0.3032 | 1137000 | 0.1011        |
| 0.3035 | 1138000 | 0.103         |
| 0.3037 | 1139000 | 0.1014        |
| 0.3040 | 1140000 | 0.102         |
| 0.3043 | 1141000 | 0.0974        |
| 0.3045 | 1142000 | 0.0975        |
| 0.3048 | 1143000 | 0.0958        |
| 0.3051 | 1144000 | 0.0988        |
| 0.3053 | 1145000 | 0.0997        |
| 0.3056 | 1146000 | 0.0945        |
| 0.3059 | 1147000 | 0.1034        |
| 0.3061 | 1148000 | 0.0939        |
| 0.3064 | 1149000 | 0.0979        |
| 0.3067 | 1150000 | 0.1019        |
| 0.3069 | 1151000 | 0.0975        |
| 0.3072 | 1152000 | 0.1002        |
| 0.3075 | 1153000 | 0.0967        |
| 0.3077 | 1154000 | 0.1013        |
| 0.3080 | 1155000 | 0.1012        |
| 0.3083 | 1156000 | 0.0975        |
| 0.3085 | 1157000 | 0.1008        |
| 0.3088 | 1158000 | 0.0978        |
| 0.3091 | 1159000 | 0.1008        |
| 0.3093 | 1160000 | 0.1018        |
| 0.3096 | 1161000 | 0.0985        |
| 0.3099 | 1162000 | 0.0979        |
| 0.3101 | 1163000 | 0.0933        |
| 0.3104 | 1164000 | 0.0984        |
| 0.3107 | 1165000 | 0.0979        |
| 0.3109 | 1166000 | 0.0982        |
| 0.3112 | 1167000 | 0.0932        |
| 0.3115 | 1168000 | 0.1043        |
| 0.3117 | 1169000 | 0.0975        |
| 0.3120 | 1170000 | 0.101         |
| 0.3123 | 1171000 | 0.0973        |
| 0.3125 | 1172000 | 0.0963        |
| 0.3128 | 1173000 | 0.0973        |
| 0.3131 | 1174000 | 0.0919        |
| 0.3133 | 1175000 | 0.1033        |
| 0.3136 | 1176000 | 0.0965        |
| 0.3139 | 1177000 | 0.0954        |
| 0.3141 | 1178000 | 0.0929        |
| 0.3144 | 1179000 | 0.1007        |
| 0.3147 | 1180000 | 0.0878        |
| 0.3149 | 1181000 | 0.0995        |
| 0.3152 | 1182000 | 0.0918        |
| 0.3155 | 1183000 | 0.1016        |
| 0.3157 | 1184000 | 0.0984        |
| 0.3160 | 1185000 | 0.1015        |
| 0.3163 | 1186000 | 0.0961        |
| 0.3165 | 1187000 | 0.0934        |
| 0.3168 | 1188000 | 0.0929        |
| 0.3171 | 1189000 | 0.0932        |
| 0.3173 | 1190000 | 0.1006        |
| 0.3176 | 1191000 | 0.1023        |
| 0.3179 | 1192000 | 0.0948        |
| 0.3181 | 1193000 | 0.0956        |
| 0.3184 | 1194000 | 0.0984        |
| 0.3187 | 1195000 | 0.0936        |
| 0.3189 | 1196000 | 0.101         |
| 0.3192 | 1197000 | 0.0978        |
| 0.3195 | 1198000 | 0.1025        |
| 0.3197 | 1199000 | 0.098         |
| 0.3200 | 1200000 | 0.1034        |
| 0.3203 | 1201000 | 0.0916        |
| 0.3205 | 1202000 | 0.0955        |
| 0.3208 | 1203000 | 0.0903        |
| 0.3211 | 1204000 | 0.0969        |
| 0.3213 | 1205000 | 0.0983        |
| 0.3216 | 1206000 | 0.0918        |
| 0.3219 | 1207000 | 0.0914        |
| 0.3221 | 1208000 | 0.0916        |
| 0.3224 | 1209000 | 0.0968        |
| 0.3227 | 1210000 | 0.0909        |
| 0.3229 | 1211000 | 0.0961        |
| 0.3232 | 1212000 | 0.0908        |
| 0.3235 | 1213000 | 0.0949        |
| 0.3237 | 1214000 | 0.0913        |
| 0.3240 | 1215000 | 0.0949        |
| 0.3243 | 1216000 | 0.09          |
| 0.3245 | 1217000 | 0.0913        |
| 0.3248 | 1218000 | 0.0948        |
| 0.3251 | 1219000 | 0.0943        |
| 0.3253 | 1220000 | 0.0927        |
| 0.3256 | 1221000 | 0.0996        |
| 0.3259 | 1222000 | 0.0961        |
| 0.3261 | 1223000 | 0.0914        |
| 0.3264 | 1224000 | 0.1004        |
| 0.3267 | 1225000 | 0.0942        |
| 0.3269 | 1226000 | 0.0965        |
| 0.3272 | 1227000 | 0.0974        |
| 0.3275 | 1228000 | 0.0966        |
| 0.3277 | 1229000 | 0.0962        |
| 0.3280 | 1230000 | 0.0927        |
| 0.3283 | 1231000 | 0.0978        |
| 0.3285 | 1232000 | 0.0967        |
| 0.3288 | 1233000 | 0.0917        |
| 0.3291 | 1234000 | 0.0933        |
| 0.3293 | 1235000 | 0.093         |
| 0.3296 | 1236000 | 0.1009        |
| 0.3299 | 1237000 | 0.0918        |
| 0.3301 | 1238000 | 0.095         |
| 0.3304 | 1239000 | 0.0943        |
| 0.3307 | 1240000 | 0.0953        |
| 0.3309 | 1241000 | 0.0971        |
| 0.3312 | 1242000 | 0.0945        |
| 0.3315 | 1243000 | 0.0887        |
| 0.3317 | 1244000 | 0.098         |
| 0.3320 | 1245000 | 0.1003        |
| 0.3323 | 1246000 | 0.0962        |
| 0.3325 | 1247000 | 0.1019        |
| 0.3328 | 1248000 | 0.095         |
| 0.3331 | 1249000 | 0.0953        |
| 0.3333 | 1250000 | 0.0951        |
| 0.3336 | 1251000 | 0.0988        |
| 0.3339 | 1252000 | 0.099         |
| 0.3341 | 1253000 | 0.0979        |
| 0.3344 | 1254000 | 0.0937        |
| 0.3347 | 1255000 | 0.0986        |
| 0.3349 | 1256000 | 0.0959        |
| 0.3352 | 1257000 | 0.0936        |
| 0.3355 | 1258000 | 0.0934        |
| 0.3357 | 1259000 | 0.0994        |
| 0.3360 | 1260000 | 0.0973        |
| 0.3363 | 1261000 | 0.0945        |
| 0.3365 | 1262000 | 0.1002        |
| 0.3368 | 1263000 | 0.0971        |
| 0.3371 | 1264000 | 0.101         |
| 0.3373 | 1265000 | 0.0989        |
| 0.3376 | 1266000 | 0.0897        |
| 0.3379 | 1267000 | 0.0926        |
| 0.3381 | 1268000 | 0.0955        |
| 0.3384 | 1269000 | 0.0986        |
| 0.3387 | 1270000 | 0.0961        |
| 0.3389 | 1271000 | 0.0949        |
| 0.3392 | 1272000 | 0.0966        |
| 0.3395 | 1273000 | 0.0913        |
| 0.3397 | 1274000 | 0.0972        |
| 0.3400 | 1275000 | 0.0922        |
| 0.3403 | 1276000 | 0.0927        |
| 0.3405 | 1277000 | 0.0992        |
| 0.3408 | 1278000 | 0.096         |
| 0.3411 | 1279000 | 0.094         |
| 0.3413 | 1280000 | 0.0907        |
| 0.3416 | 1281000 | 0.0907        |
| 0.3419 | 1282000 | 0.0957        |
| 0.3421 | 1283000 | 0.099         |
| 0.3424 | 1284000 | 0.0974        |
| 0.3427 | 1285000 | 0.0931        |
| 0.3429 | 1286000 | 0.0921        |
| 0.3432 | 1287000 | 0.0923        |
| 0.3435 | 1288000 | 0.0958        |
| 0.3437 | 1289000 | 0.0987        |
| 0.3440 | 1290000 | 0.0975        |
| 0.3443 | 1291000 | 0.1002        |
| 0.3445 | 1292000 | 0.1005        |
| 0.3448 | 1293000 | 0.0974        |
| 0.3451 | 1294000 | 0.0869        |
| 0.3453 | 1295000 | 0.0982        |
| 0.3456 | 1296000 | 0.0946        |
| 0.3459 | 1297000 | 0.097         |
| 0.3461 | 1298000 | 0.0881        |
| 0.3464 | 1299000 | 0.0946        |
| 0.3467 | 1300000 | 0.0982        |
| 0.3469 | 1301000 | 0.095         |
| 0.3472 | 1302000 | 0.0925        |
| 0.3475 | 1303000 | 0.0967        |
| 0.3477 | 1304000 | 0.0955        |
| 0.3480 | 1305000 | 0.0969        |
| 0.3483 | 1306000 | 0.0978        |
| 0.3485 | 1307000 | 0.1038        |
| 0.3488 | 1308000 | 0.0958        |
| 0.3491 | 1309000 | 0.0927        |
| 0.3493 | 1310000 | 0.0957        |
| 0.3496 | 1311000 | 0.0919        |
| 0.3499 | 1312000 | 0.093         |
| 0.3501 | 1313000 | 0.0991        |
| 0.3504 | 1314000 | 0.0915        |
| 0.3507 | 1315000 | 0.0953        |
| 0.3509 | 1316000 | 0.0959        |
| 0.3512 | 1317000 | 0.0957        |
| 0.3515 | 1318000 | 0.0952        |
| 0.3517 | 1319000 | 0.0894        |
| 0.3520 | 1320000 | 0.0905        |
| 0.3523 | 1321000 | 0.0884        |
| 0.3525 | 1322000 | 0.0947        |
| 0.3528 | 1323000 | 0.0899        |
| 0.3531 | 1324000 | 0.0941        |
| 0.3533 | 1325000 | 0.0933        |
| 0.3536 | 1326000 | 0.0885        |
| 0.3539 | 1327000 | 0.0974        |
| 0.3541 | 1328000 | 0.0959        |
| 0.3544 | 1329000 | 0.0885        |
| 0.3547 | 1330000 | 0.0971        |
| 0.3549 | 1331000 | 0.0955        |
| 0.3552 | 1332000 | 0.0909        |
| 0.3555 | 1333000 | 0.0915        |
| 0.3557 | 1334000 | 0.0959        |
| 0.3560 | 1335000 | 0.0927        |
| 0.3563 | 1336000 | 0.0936        |
| 0.3565 | 1337000 | 0.0937        |
| 0.3568 | 1338000 | 0.1007        |
| 0.3571 | 1339000 | 0.0931        |
| 0.3573 | 1340000 | 0.0936        |
| 0.3576 | 1341000 | 0.0962        |
| 0.3579 | 1342000 | 0.0914        |
| 0.3581 | 1343000 | 0.0964        |
| 0.3584 | 1344000 | 0.1001        |
| 0.3587 | 1345000 | 0.098         |
| 0.3589 | 1346000 | 0.0943        |
| 0.3592 | 1347000 | 0.1004        |
| 0.3595 | 1348000 | 0.0962        |
| 0.3597 | 1349000 | 0.0943        |
| 0.3600 | 1350000 | 0.0963        |
| 0.3603 | 1351000 | 0.0896        |
| 0.3605 | 1352000 | 0.0966        |
| 0.3608 | 1353000 | 0.1052        |
| 0.3611 | 1354000 | 0.0932        |
| 0.3613 | 1355000 | 0.096         |
| 0.3616 | 1356000 | 0.0956        |
| 0.3619 | 1357000 | 0.1003        |
| 0.3621 | 1358000 | 0.0941        |
| 0.3624 | 1359000 | 0.0909        |
| 0.3627 | 1360000 | 0.0912        |
| 0.3629 | 1361000 | 0.092         |
| 0.3632 | 1362000 | 0.0902        |
| 0.3635 | 1363000 | 0.0939        |
| 0.3637 | 1364000 | 0.0955        |
| 0.3640 | 1365000 | 0.0911        |
| 0.3643 | 1366000 | 0.0929        |
| 0.3645 | 1367000 | 0.0915        |
| 0.3648 | 1368000 | 0.0936        |
| 0.3651 | 1369000 | 0.0935        |
| 0.3653 | 1370000 | 0.0863        |
| 0.3656 | 1371000 | 0.0893        |
| 0.3659 | 1372000 | 0.101         |
| 0.3661 | 1373000 | 0.0917        |
| 0.3664 | 1374000 | 0.0845        |
| 0.3667 | 1375000 | 0.0921        |
| 0.3669 | 1376000 | 0.0975        |
| 0.3672 | 1377000 | 0.0991        |
| 0.3675 | 1378000 | 0.0912        |
| 0.3677 | 1379000 | 0.0928        |
| 0.3680 | 1380000 | 0.091         |
| 0.3683 | 1381000 | 0.1002        |
| 0.3685 | 1382000 | 0.0912        |
| 0.3688 | 1383000 | 0.0974        |
| 0.3691 | 1384000 | 0.0935        |
| 0.3693 | 1385000 | 0.0933        |
| 0.3696 | 1386000 | 0.0944        |
| 0.3699 | 1387000 | 0.0919        |
| 0.3701 | 1388000 | 0.0932        |
| 0.3704 | 1389000 | 0.0869        |
| 0.3707 | 1390000 | 0.0932        |
| 0.3709 | 1391000 | 0.0967        |
| 0.3712 | 1392000 | 0.0935        |
| 0.3715 | 1393000 | 0.092         |
| 0.3717 | 1394000 | 0.0889        |
| 0.3720 | 1395000 | 0.0933        |
| 0.3723 | 1396000 | 0.0896        |
| 0.3726 | 1397000 | 0.094         |
| 0.3728 | 1398000 | 0.0961        |
| 0.3731 | 1399000 | 0.0961        |
| 0.3734 | 1400000 | 0.092         |
| 0.3736 | 1401000 | 0.0954        |
| 0.3739 | 1402000 | 0.0906        |
| 0.3742 | 1403000 | 0.0989        |
| 0.3744 | 1404000 | 0.0963        |
| 0.3747 | 1405000 | 0.0879        |
| 0.3750 | 1406000 | 0.0941        |
| 0.3752 | 1407000 | 0.0937        |
| 0.3755 | 1408000 | 0.0921        |
| 0.3758 | 1409000 | 0.0945        |
| 0.3760 | 1410000 | 0.0898        |
| 0.3763 | 1411000 | 0.0942        |
| 0.3766 | 1412000 | 0.091         |
| 0.3768 | 1413000 | 0.0982        |
| 0.3771 | 1414000 | 0.0881        |
| 0.3774 | 1415000 | 0.0849        |
| 0.3776 | 1416000 | 0.0996        |
| 0.3779 | 1417000 | 0.0916        |
| 0.3782 | 1418000 | 0.0926        |
| 0.3784 | 1419000 | 0.09          |
| 0.3787 | 1420000 | 0.0956        |
| 0.3790 | 1421000 | 0.0933        |
| 0.3792 | 1422000 | 0.0958        |
| 0.3795 | 1423000 | 0.0925        |
| 0.3798 | 1424000 | 0.0904        |
| 0.3800 | 1425000 | 0.0975        |
| 0.3803 | 1426000 | 0.0974        |
| 0.3806 | 1427000 | 0.0961        |
| 0.3808 | 1428000 | 0.0888        |
| 0.3811 | 1429000 | 0.0938        |
| 0.3814 | 1430000 | 0.0922        |
| 0.3816 | 1431000 | 0.0856        |
| 0.3819 | 1432000 | 0.0916        |
| 0.3822 | 1433000 | 0.0937        |
| 0.3824 | 1434000 | 0.0901        |
| 0.3827 | 1435000 | 0.0956        |
| 0.3830 | 1436000 | 0.0927        |
| 0.3832 | 1437000 | 0.0915        |
| 0.3835 | 1438000 | 0.0936        |
| 0.3838 | 1439000 | 0.0993        |
| 0.3840 | 1440000 | 0.0958        |
| 0.3843 | 1441000 | 0.0889        |
| 0.3846 | 1442000 | 0.0979        |
| 0.3848 | 1443000 | 0.0909        |
| 0.3851 | 1444000 | 0.0934        |
| 0.3854 | 1445000 | 0.0948        |
| 0.3856 | 1446000 | 0.0962        |
| 0.3859 | 1447000 | 0.0912        |
| 0.3862 | 1448000 | 0.0888        |
| 0.3864 | 1449000 | 0.0926        |
| 0.3867 | 1450000 | 0.0998        |
| 0.3870 | 1451000 | 0.0923        |
| 0.3872 | 1452000 | 0.092         |
| 0.3875 | 1453000 | 0.0885        |
| 0.3878 | 1454000 | 0.0912        |
| 0.3880 | 1455000 | 0.0932        |
| 0.3883 | 1456000 | 0.0901        |
| 0.3886 | 1457000 | 0.0873        |
| 0.3888 | 1458000 | 0.0878        |
| 0.3891 | 1459000 | 0.0929        |
| 0.3894 | 1460000 | 0.0945        |
| 0.3896 | 1461000 | 0.0935        |
| 0.3899 | 1462000 | 0.0904        |
| 0.3902 | 1463000 | 0.0858        |
| 0.3904 | 1464000 | 0.0933        |
| 0.3907 | 1465000 | 0.0937        |
| 0.3910 | 1466000 | 0.0892        |
| 0.3912 | 1467000 | 0.0974        |
| 0.3915 | 1468000 | 0.0928        |
| 0.3918 | 1469000 | 0.0916        |
| 0.3920 | 1470000 | 0.0939        |
| 0.3923 | 1471000 | 0.0948        |
| 0.3926 | 1472000 | 0.0934        |
| 0.3928 | 1473000 | 0.0952        |
| 0.3931 | 1474000 | 0.0954        |
| 0.3934 | 1475000 | 0.0879        |
| 0.3936 | 1476000 | 0.1018        |
| 0.3939 | 1477000 | 0.0921        |
| 0.3942 | 1478000 | 0.0918        |
| 0.3944 | 1479000 | 0.0997        |
| 0.3947 | 1480000 | 0.0932        |
| 0.3950 | 1481000 | 0.0946        |
| 0.3952 | 1482000 | 0.0904        |
| 0.3955 | 1483000 | 0.0952        |
| 0.3958 | 1484000 | 0.0983        |
| 0.3960 | 1485000 | 0.0881        |
| 0.3963 | 1486000 | 0.094         |
| 0.3966 | 1487000 | 0.0944        |
| 0.3968 | 1488000 | 0.0976        |
| 0.3971 | 1489000 | 0.0919        |
| 0.3974 | 1490000 | 0.0901        |
| 0.3976 | 1491000 | 0.0943        |
| 0.3979 | 1492000 | 0.0872        |
| 0.3982 | 1493000 | 0.089         |
| 0.3984 | 1494000 | 0.0869        |
| 0.3987 | 1495000 | 0.0925        |
| 0.3990 | 1496000 | 0.0906        |
| 0.3992 | 1497000 | 0.0932        |
| 0.3995 | 1498000 | 0.0912        |
| 0.3998 | 1499000 | 0.0892        |
| 0.4000 | 1500000 | 0.0963        |
| 0.4003 | 1501000 | 0.0896        |
| 0.4006 | 1502000 | 0.0906        |
| 0.4008 | 1503000 | 0.0868        |
| 0.4011 | 1504000 | 0.093         |
| 0.4014 | 1505000 | 0.0899        |
| 0.4016 | 1506000 | 0.091         |
| 0.4019 | 1507000 | 0.0889        |
| 0.4022 | 1508000 | 0.0913        |
| 0.4024 | 1509000 | 0.0902        |
| 0.4027 | 1510000 | 0.0968        |
| 0.4030 | 1511000 | 0.095         |
| 0.4032 | 1512000 | 0.095         |
| 0.4035 | 1513000 | 0.0988        |
| 0.4038 | 1514000 | 0.0954        |
| 0.4040 | 1515000 | 0.0885        |
| 0.4043 | 1516000 | 0.0917        |
| 0.4046 | 1517000 | 0.0959        |
| 0.4048 | 1518000 | 0.0935        |
| 0.4051 | 1519000 | 0.0942        |
| 0.4054 | 1520000 | 0.0985        |
| 0.4056 | 1521000 | 0.0944        |
| 0.4059 | 1522000 | 0.0935        |
| 0.4062 | 1523000 | 0.0978        |
| 0.4064 | 1524000 | 0.0956        |
| 0.4067 | 1525000 | 0.0928        |
| 0.4070 | 1526000 | 0.09          |
| 0.4072 | 1527000 | 0.0933        |
| 0.4075 | 1528000 | 0.0887        |
| 0.4078 | 1529000 | 0.0907        |
| 0.4080 | 1530000 | 0.092         |
| 0.4083 | 1531000 | 0.0873        |
| 0.4086 | 1532000 | 0.0977        |
| 0.4088 | 1533000 | 0.0894        |
| 0.4091 | 1534000 | 0.0944        |
| 0.4094 | 1535000 | 0.0941        |
| 0.4096 | 1536000 | 0.094         |
| 0.4099 | 1537000 | 0.0897        |
| 0.4102 | 1538000 | 0.0887        |
| 0.4104 | 1539000 | 0.0872        |
| 0.4107 | 1540000 | 0.0898        |
| 0.4110 | 1541000 | 0.0957        |
| 0.4112 | 1542000 | 0.0845        |
| 0.4115 | 1543000 | 0.0901        |
| 0.4118 | 1544000 | 0.0943        |
| 0.4120 | 1545000 | 0.0904        |
| 0.4123 | 1546000 | 0.0921        |
| 0.4126 | 1547000 | 0.0946        |
| 0.4128 | 1548000 | 0.0818        |
| 0.4131 | 1549000 | 0.0939        |
| 0.4134 | 1550000 | 0.09          |
| 0.4136 | 1551000 | 0.0939        |
| 0.4139 | 1552000 | 0.0944        |
| 0.4142 | 1553000 | 0.091         |
| 0.4144 | 1554000 | 0.0889        |
| 0.4147 | 1555000 | 0.0974        |
| 0.4150 | 1556000 | 0.087         |
| 0.4152 | 1557000 | 0.0877        |
| 0.4155 | 1558000 | 0.0913        |
| 0.4158 | 1559000 | 0.0923        |
| 0.4160 | 1560000 | 0.0891        |
| 0.4163 | 1561000 | 0.0865        |
| 0.4166 | 1562000 | 0.0901        |
| 0.4168 | 1563000 | 0.0967        |
| 0.4171 | 1564000 | 0.0976        |
| 0.4174 | 1565000 | 0.0914        |
| 0.4176 | 1566000 | 0.0935        |
| 0.4179 | 1567000 | 0.0938        |
| 0.4182 | 1568000 | 0.0903        |
| 0.4184 | 1569000 | 0.0959        |
| 0.4187 | 1570000 | 0.0934        |
| 0.4190 | 1571000 | 0.0901        |
| 0.4192 | 1572000 | 0.0879        |
| 0.4195 | 1573000 | 0.0899        |
| 0.4198 | 1574000 | 0.0972        |
| 0.4200 | 1575000 | 0.0951        |
| 0.4203 | 1576000 | 0.0883        |
| 0.4206 | 1577000 | 0.0837        |
| 0.4208 | 1578000 | 0.0922        |
| 0.4211 | 1579000 | 0.0874        |
| 0.4214 | 1580000 | 0.096         |
| 0.4216 | 1581000 | 0.092         |
| 0.4219 | 1582000 | 0.0888        |
| 0.4222 | 1583000 | 0.0898        |
| 0.4224 | 1584000 | 0.087         |
| 0.4227 | 1585000 | 0.0926        |
| 0.4230 | 1586000 | 0.0909        |
| 0.4232 | 1587000 | 0.093         |
| 0.4235 | 1588000 | 0.0936        |
| 0.4238 | 1589000 | 0.0876        |
| 0.4240 | 1590000 | 0.0957        |
| 0.4243 | 1591000 | 0.0884        |
| 0.4246 | 1592000 | 0.0888        |
| 0.4248 | 1593000 | 0.0959        |
| 0.4251 | 1594000 | 0.0858        |
| 0.4254 | 1595000 | 0.0927        |
| 0.4256 | 1596000 | 0.0942        |
| 0.4259 | 1597000 | 0.0863        |
| 0.4262 | 1598000 | 0.0894        |
| 0.4264 | 1599000 | 0.091         |
| 0.4267 | 1600000 | 0.0941        |
| 0.4270 | 1601000 | 0.0885        |
| 0.4272 | 1602000 | 0.0947        |
| 0.4275 | 1603000 | 0.0945        |
| 0.4278 | 1604000 | 0.0896        |
| 0.4280 | 1605000 | 0.0912        |
| 0.4283 | 1606000 | 0.0927        |
| 0.4286 | 1607000 | 0.0932        |
| 0.4288 | 1608000 | 0.0875        |
| 0.4291 | 1609000 | 0.0894        |
| 0.4294 | 1610000 | 0.0874        |
| 0.4296 | 1611000 | 0.0899        |
| 0.4299 | 1612000 | 0.0869        |
| 0.4302 | 1613000 | 0.0934        |
| 0.4304 | 1614000 | 0.0849        |
| 0.4307 | 1615000 | 0.088         |
| 0.4310 | 1616000 | 0.0916        |
| 0.4312 | 1617000 | 0.0908        |
| 0.4315 | 1618000 | 0.0916        |
| 0.4318 | 1619000 | 0.089         |
| 0.4320 | 1620000 | 0.0904        |
| 0.4323 | 1621000 | 0.0899        |
| 0.4326 | 1622000 | 0.0955        |
| 0.4328 | 1623000 | 0.0944        |
| 0.4331 | 1624000 | 0.0897        |
| 0.4334 | 1625000 | 0.0937        |
| 0.4336 | 1626000 | 0.0967        |
| 0.4339 | 1627000 | 0.0904        |
| 0.4342 | 1628000 | 0.0888        |
| 0.4344 | 1629000 | 0.0925        |
| 0.4347 | 1630000 | 0.096         |
| 0.4350 | 1631000 | 0.0867        |
| 0.4352 | 1632000 | 0.0957        |
| 0.4355 | 1633000 | 0.0902        |
| 0.4358 | 1634000 | 0.0912        |
| 0.4360 | 1635000 | 0.0912        |
| 0.4363 | 1636000 | 0.0959        |
| 0.4366 | 1637000 | 0.0936        |
| 0.4368 | 1638000 | 0.0889        |
| 0.4371 | 1639000 | 0.0876        |
| 0.4374 | 1640000 | 0.0984        |
| 0.4376 | 1641000 | 0.094         |
| 0.4379 | 1642000 | 0.092         |
| 0.4382 | 1643000 | 0.0893        |
| 0.4384 | 1644000 | 0.0919        |
| 0.4387 | 1645000 | 0.0856        |
| 0.4390 | 1646000 | 0.0952        |
| 0.4392 | 1647000 | 0.0891        |
| 0.4395 | 1648000 | 0.0945        |
| 0.4398 | 1649000 | 0.0905        |
| 0.4400 | 1650000 | 0.0881        |
| 0.4403 | 1651000 | 0.0888        |
| 0.4406 | 1652000 | 0.0889        |
| 0.4408 | 1653000 | 0.0858        |
| 0.4411 | 1654000 | 0.0898        |
| 0.4414 | 1655000 | 0.0882        |
| 0.4416 | 1656000 | 0.0864        |
| 0.4419 | 1657000 | 0.0899        |
| 0.4422 | 1658000 | 0.0883        |
| 0.4424 | 1659000 | 0.0894        |
| 0.4427 | 1660000 | 0.0898        |
| 0.4430 | 1661000 | 0.097         |
| 0.4432 | 1662000 | 0.0973        |
| 0.4435 | 1663000 | 0.0953        |
| 0.4438 | 1664000 | 0.092         |
| 0.4440 | 1665000 | 0.0934        |
| 0.4443 | 1666000 | 0.0851        |
| 0.4446 | 1667000 | 0.0899        |
| 0.4448 | 1668000 | 0.0964        |
| 0.4451 | 1669000 | 0.0904        |
| 0.4454 | 1670000 | 0.0904        |
| 0.4456 | 1671000 | 0.0933        |
| 0.4459 | 1672000 | 0.087         |
| 0.4462 | 1673000 | 0.0926        |
| 0.4464 | 1674000 | 0.0934        |
| 0.4467 | 1675000 | 0.0929        |
| 0.4470 | 1676000 | 0.0935        |
| 0.4472 | 1677000 | 0.0924        |
| 0.4475 | 1678000 | 0.0951        |
| 0.4478 | 1679000 | 0.088         |
| 0.4480 | 1680000 | 0.0916        |
| 0.4483 | 1681000 | 0.0918        |
| 0.4486 | 1682000 | 0.0921        |
| 0.4488 | 1683000 | 0.0967        |
| 0.4491 | 1684000 | 0.0838        |
| 0.4494 | 1685000 | 0.0853        |
| 0.4496 | 1686000 | 0.0913        |
| 0.4499 | 1687000 | 0.0915        |
| 0.4502 | 1688000 | 0.0898        |
| 0.4504 | 1689000 | 0.094         |
| 0.4507 | 1690000 | 0.0861        |
| 0.4510 | 1691000 | 0.0905        |
| 0.4512 | 1692000 | 0.0874        |
| 0.4515 | 1693000 | 0.0961        |
| 0.4518 | 1694000 | 0.0955        |
| 0.4520 | 1695000 | 0.092         |
| 0.4523 | 1696000 | 0.0912        |
| 0.4526 | 1697000 | 0.0948        |
| 0.4528 | 1698000 | 0.0896        |
| 0.4531 | 1699000 | 0.0937        |
| 0.4534 | 1700000 | 0.0931        |
| 0.4536 | 1701000 | 0.0862        |
| 0.4539 | 1702000 | 0.0913        |
| 0.4542 | 1703000 | 0.0889        |
| 0.4544 | 1704000 | 0.0862        |
| 0.4547 | 1705000 | 0.0952        |
| 0.4550 | 1706000 | 0.0911        |
| 0.4552 | 1707000 | 0.087         |
| 0.4555 | 1708000 | 0.0911        |
| 0.4558 | 1709000 | 0.0824        |
| 0.4560 | 1710000 | 0.0905        |
| 0.4563 | 1711000 | 0.0957        |
| 0.4566 | 1712000 | 0.0972        |
| 0.4568 | 1713000 | 0.0924        |
| 0.4571 | 1714000 | 0.0901        |
| 0.4574 | 1715000 | 0.0859        |
| 0.4576 | 1716000 | 0.0839        |
| 0.4579 | 1717000 | 0.0887        |
| 0.4582 | 1718000 | 0.093         |
| 0.4584 | 1719000 | 0.0883        |
| 0.4587 | 1720000 | 0.0927        |
| 0.4590 | 1721000 | 0.0944        |
| 0.4592 | 1722000 | 0.0883        |
| 0.4595 | 1723000 | 0.0963        |
| 0.4598 | 1724000 | 0.0925        |
| 0.4600 | 1725000 | 0.0888        |
| 0.4603 | 1726000 | 0.0893        |
| 0.4606 | 1727000 | 0.0936        |
| 0.4608 | 1728000 | 0.0982        |
| 0.4611 | 1729000 | 0.0895        |
| 0.4614 | 1730000 | 0.0926        |
| 0.4616 | 1731000 | 0.0866        |
| 0.4619 | 1732000 | 0.0919        |
| 0.4622 | 1733000 | 0.0908        |
| 0.4624 | 1734000 | 0.0904        |
| 0.4627 | 1735000 | 0.0976        |
| 0.4630 | 1736000 | 0.096         |
| 0.4632 | 1737000 | 0.0922        |
| 0.4635 | 1738000 | 0.0886        |
| 0.4638 | 1739000 | 0.0906        |
| 0.4640 | 1740000 | 0.0927        |
| 0.4643 | 1741000 | 0.09          |
| 0.4646 | 1742000 | 0.0912        |
| 0.4648 | 1743000 | 0.0865        |
| 0.4651 | 1744000 | 0.0876        |
| 0.4654 | 1745000 | 0.0882        |
| 0.4656 | 1746000 | 0.0922        |
| 0.4659 | 1747000 | 0.0868        |
| 0.4662 | 1748000 | 0.0886        |
| 0.4664 | 1749000 | 0.0988        |
| 0.4667 | 1750000 | 0.0936        |
| 0.4670 | 1751000 | 0.093         |
| 0.4672 | 1752000 | 0.088         |
| 0.4675 | 1753000 | 0.0898        |
| 0.4678 | 1754000 | 0.0903        |
| 0.4680 | 1755000 | 0.0871        |
| 0.4683 | 1756000 | 0.0926        |
| 0.4686 | 1757000 | 0.0902        |
| 0.4688 | 1758000 | 0.0893        |
| 0.4691 | 1759000 | 0.0862        |
| 0.4694 | 1760000 | 0.0968        |
| 0.4696 | 1761000 | 0.0951        |
| 0.4699 | 1762000 | 0.0881        |
| 0.4702 | 1763000 | 0.0899        |
| 0.4704 | 1764000 | 0.0908        |
| 0.4707 | 1765000 | 0.0902        |
| 0.4710 | 1766000 | 0.0915        |
| 0.4712 | 1767000 | 0.0843        |
| 0.4715 | 1768000 | 0.0917        |
| 0.4718 | 1769000 | 0.0876        |
| 0.4720 | 1770000 | 0.0926        |
| 0.4723 | 1771000 | 0.0935        |
| 0.4726 | 1772000 | 0.0947        |
| 0.4728 | 1773000 | 0.0948        |
| 0.4731 | 1774000 | 0.0943        |
| 0.4734 | 1775000 | 0.0902        |
| 0.4736 | 1776000 | 0.0889        |
| 0.4739 | 1777000 | 0.0916        |
| 0.4742 | 1778000 | 0.09          |
| 0.4744 | 1779000 | 0.0891        |
| 0.4747 | 1780000 | 0.0876        |
| 0.4750 | 1781000 | 0.0877        |
| 0.4752 | 1782000 | 0.0899        |
| 0.4755 | 1783000 | 0.092         |
| 0.4758 | 1784000 | 0.0822        |
| 0.4760 | 1785000 | 0.0836        |
| 0.4763 | 1786000 | 0.0918        |
| 0.4766 | 1787000 | 0.0854        |
| 0.4768 | 1788000 | 0.093         |
| 0.4771 | 1789000 | 0.0932        |
| 0.4774 | 1790000 | 0.0875        |
| 0.4776 | 1791000 | 0.0909        |
| 0.4779 | 1792000 | 0.0991        |
| 0.4782 | 1793000 | 0.0858        |
| 0.4784 | 1794000 | 0.0897        |
| 0.4787 | 1795000 | 0.0869        |
| 0.4790 | 1796000 | 0.0894        |
| 0.4792 | 1797000 | 0.0897        |
| 0.4795 | 1798000 | 0.0871        |
| 0.4798 | 1799000 | 0.0865        |
| 0.4800 | 1800000 | 0.0917        |
| 0.4803 | 1801000 | 0.0893        |
| 0.4806 | 1802000 | 0.0936        |
| 0.4808 | 1803000 | 0.0904        |
| 0.4811 | 1804000 | 0.0894        |
| 0.4814 | 1805000 | 0.09          |
| 0.4816 | 1806000 | 0.0914        |
| 0.4819 | 1807000 | 0.0937        |
| 0.4822 | 1808000 | 0.0892        |
| 0.4824 | 1809000 | 0.0909        |
| 0.4827 | 1810000 | 0.0832        |
| 0.4830 | 1811000 | 0.091         |
| 0.4832 | 1812000 | 0.0909        |
| 0.4835 | 1813000 | 0.0912        |
| 0.4838 | 1814000 | 0.0873        |
| 0.4840 | 1815000 | 0.0911        |
| 0.4843 | 1816000 | 0.0873        |
| 0.4846 | 1817000 | 0.0953        |
| 0.4848 | 1818000 | 0.0918        |
| 0.4851 | 1819000 | 0.0909        |
| 0.4854 | 1820000 | 0.0853        |
| 0.4856 | 1821000 | 0.093         |
| 0.4859 | 1822000 | 0.0875        |
| 0.4862 | 1823000 | 0.0868        |
| 0.4864 | 1824000 | 0.0949        |
| 0.4867 | 1825000 | 0.0938        |
| 0.4870 | 1826000 | 0.0909        |
| 0.4872 | 1827000 | 0.0908        |
| 0.4875 | 1828000 | 0.0938        |
| 0.4878 | 1829000 | 0.0911        |
| 0.4880 | 1830000 | 0.0923        |
| 0.4883 | 1831000 | 0.092         |
| 0.4886 | 1832000 | 0.0966        |
| 0.4888 | 1833000 | 0.0909        |
| 0.4891 | 1834000 | 0.0945        |
| 0.4894 | 1835000 | 0.0879        |
| 0.4896 | 1836000 | 0.0892        |
| 0.4899 | 1837000 | 0.0873        |
| 0.4902 | 1838000 | 0.086         |
| 0.4904 | 1839000 | 0.0888        |
| 0.4907 | 1840000 | 0.0924        |
| 0.4910 | 1841000 | 0.0875        |
| 0.4912 | 1842000 | 0.0904        |
| 0.4915 | 1843000 | 0.0835        |
| 0.4918 | 1844000 | 0.0957        |
| 0.4920 | 1845000 | 0.0866        |
| 0.4923 | 1846000 | 0.088         |
| 0.4926 | 1847000 | 0.0897        |
| 0.4928 | 1848000 | 0.0932        |
| 0.4931 | 1849000 | 0.0913        |
| 0.4934 | 1850000 | 0.0926        |
| 0.4936 | 1851000 | 0.0903        |
| 0.4939 | 1852000 | 0.0887        |
| 0.4942 | 1853000 | 0.0916        |
| 0.4944 | 1854000 | 0.0926        |
| 0.4947 | 1855000 | 0.0924        |
| 0.4950 | 1856000 | 0.0917        |
| 0.4952 | 1857000 | 0.0889        |
| 0.4955 | 1858000 | 0.0892        |
| 0.4958 | 1859000 | 0.0914        |
| 0.4960 | 1860000 | 0.0876        |
| 0.4963 | 1861000 | 0.0926        |
| 0.4966 | 1862000 | 0.0984        |
| 0.4968 | 1863000 | 0.0971        |
| 0.4971 | 1864000 | 0.085         |
| 0.4974 | 1865000 | 0.0912        |
| 0.4976 | 1866000 | 0.0909        |
| 0.4979 | 1867000 | 0.0919        |
| 0.4982 | 1868000 | 0.0938        |
| 0.4984 | 1869000 | 0.0948        |
| 0.4987 | 1870000 | 0.092         |
| 0.4990 | 1871000 | 0.0912        |
| 0.4992 | 1872000 | 0.0892        |
| 0.4995 | 1873000 | 0.0899        |
| 0.4998 | 1874000 | 0.0913        |

</details>

### Framework Versions
- Python: 3.12.2
- Sentence Transformers: 3.2.1
- Transformers: 4.45.2
- PyTorch: 2.5.0
- Accelerate: 1.0.1
- Datasets: 3.0.1
- Tokenizers: 0.20.1

## Citation

### BibTeX

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

#### CustomTripletLoss
```bibtex
@misc{hermans2017defense,
    title={In Defense of the Triplet Loss for Person Re-Identification},
    author={Alexander Hermans and Lucas Beyer and Bastian Leibe},
    year={2017},
    eprint={1703.07737},
    archivePrefix={arXiv},
    primaryClass={cs.CV}
}
```

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