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---
tags:
- sentence-transformers
- sentence-similarity
- feature-extraction
- generated_from_trainer
- dataset_size:500431
- loss:SoftmaxLoss
- loss:MultipleNegativesRankingLoss
base_model: sentence-transformers/all-mpnet-base-v2
widget:
- source_sentence: >-
The name/business name, address/business address, and contact information of
the export broker, including telephone numbers and email addresses.
sentences:
- >-
If an export broker is used, you must provide their full business details
along with ways to contact them such as phone numbers and emails.
- >-
Order form records are required to be maintained as per section 1305 of the
regulations.
- >-
Only the name and address of the export broker are necessary; there's no
need to include contact information like phone numbers or emails.
- source_sentence: >-
Typically, such suspensions would not cover transfers to regular customers
unless they are part of an irregular sale or involve suspicious activity.
sentences:
- >-
Suspensions due to potential diversion typically do not extend to routine
transactions with established clients, unless there is reason to believe the
transaction is unusual or illicit.
- >-
All customers, including regular ones, could be subject to these suspensions
without any specific cause.
- >-
If the Administration notifies an exporter, the transferee might need
additional steps to become a regular customer.
- source_sentence: Factors include changes in accepted medical use of chemicals.
sentences:
- Imports from other countries significantly impact the U.S. medical supply.
- Changes in how chemicals are used medically can affect U.S. medical needs.
- Brokers and traders must inform the Administration of such transactions.
- source_sentence: After accepting an application for filing.
sentences:
- >-
Once the application is accepted for filing, the Administrator will issue an
order.
- No specific documents are needed for submission.
- >-
Following the review of the comments, the Administrator might preserve,
lift, or update the earlier ruling.
- source_sentence: >-
The coordinator serves as the main point of contact between DEA registered
locations and the CSOS Certification Authority for issues pertaining to
issuance, revocation, and changes to digital certificates.
sentences:
- >-
The role of a CSOS coordinator involves issuing and distributing new digital
certificates to DEA registered locations.
- The rules only apply to paper orders and prescriptions, not electronic ones.
- >-
This rule pertains to either bidders or end-users, but not exclusively to
one category.
pipeline_tag: sentence-similarity
library_name: sentence-transformers
datasets:
- MasterControlAIML/question_answer_finetuning_embeddings.csv
- MasterControlAIML/triplet_finetuning_embeddings.csv
- MasterControlAIML/pair_class_finetuning_embeddings.csv
---
# SentenceTransformer based on sentence-transformers/all-mpnet-base-v2
This is a [sentence-transformers](https://www.SBERT.net) model finetuned from [sentence-transformers/all-mpnet-base-v2](https://huggingface.co/sentence-transformers/all-mpnet-base-v2) on the our own created datasets. It maps sentences & paragraphs to a 768-dimensional dense vector space and can be used for semantic textual similarity, semantic search, paraphrase mining, text classification, clustering, and more.
## Model Details
### Model Description
- **Model Type:** Sentence Transformer
- **Base model:** [sentence-transformers/all-mpnet-base-v2](https://huggingface.co/sentence-transformers/all-mpnet-base-v2) <!-- at revision 9a3225965996d404b775526de6dbfe85d3368642 -->
- **Maximum Sequence Length:** 384 tokens
- **Output Dimensionality:** 768 tokens
- **Similarity Function:** Cosine Similarity
- **Training Dataset:**
- https://huggingface.co/datasets/MasterControlAIML/question_answer_finetuning_embeddings.csv
- https://huggingface.co/datasets/MasterControlAIML/triplet_finetuning_embeddings.csv
- https://huggingface.co/datasets/MasterControlAIML/pair_class_finetuning_embeddings.csv
<!-- - **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': 384, 'do_lower_case': False}) with Transformer model: MPNetModel
(1): Pooling({'word_embedding_dimension': 768, 'pooling_mode_cls_token': False, 'pooling_mode_mean_tokens': True, 'pooling_mode_max_tokens': False, 'pooling_mode_mean_sqrt_len_tokens': False, 'pooling_mode_weightedmean_tokens': False, 'pooling_mode_lasttoken': False, 'include_prompt': True})
(2): 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("MasterControlAIML/finetuned-ecfr-embeddings")
# Run inference
sentences = [
'The coordinator serves as the main point of contact between DEA registered locations and the CSOS Certification Authority for issues pertaining to issuance, revocation, and changes to digital certificates.',
'The role of a CSOS coordinator involves issuing and distributing new digital certificates to DEA registered locations.',
'The rules only apply to paper orders and prescriptions, not electronic ones.',
]
embeddings = model.encode(sentences)
print(embeddings.shape)
# [3, 768]
# Get the similarity scores for the embeddings
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [3, 3]
```
<!--
### Direct Usage (Transformers)
<details><summary>Click to see the direct usage in Transformers</summary>
</details>
-->
<!--
### Downstream Usage (Sentence Transformers)
You can finetune this model on your own dataset.
<details><summary>Click to expand</summary>
</details>
-->
<!--
### Out-of-Scope Use
*List how the model may foreseeably be misused and address what users ought not to do with the model.*
-->
<!--
## 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
#### https://huggingface.co/datasets/MasterControlAIML/triplet_finetuning_embeddings.csv
#### https://huggingface.co/datasets/MasterControlAIML/pair_class_finetuning_embeddings.csv
#### https://huggingface.co/datasets/MasterControlAIML/question_answer_finetuning_embeddings.csv
* Dataset: MasterControlAIML/pair_class_finetuning_embeddings.csv
* Size: 300,000 training samples
* Columns: <code>sentence_a</code>, <code>sentence_b</code>, and <code>label</code>
* Approximate statistics based on the first 1000 samples:
| | sentence_a | sentence_b | label |
|:--------|:-----------------------------------------------------------------------------------|:----------------------------------------------------------------------------------|:-------------------------------------------------------------------|
| type | string | string | int |
| details | <ul><li>min: 9 tokens</li><li>mean: 29.84 tokens</li><li>max: 164 tokens</li></ul> | <ul><li>min: 4 tokens</li><li>mean: 25.59 tokens</li><li>max: 73 tokens</li></ul> | <ul><li>0: ~33.30%</li><li>1: ~33.30%</li><li>2: ~33.40%</li></ul> |
* Samples:
| sentence_a | sentence_b | label |
|:------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:---------------------------------------------------------------------------------------------------------------------------------------------------------------------|:---------------|
| <code>The purpose is to ensure consistency in the interpretation of terms used across different parts of the Federal Food, Drug, and Cosmetic Act and its regulations.</code> | <code>This provision aims to maintain uniformity in how terms are understood throughout the legislation and related rules.</code> | <code>0</code> |
| <code>The purpose is to ensure consistency in the interpretation of terms used across different parts of the Federal Food, Drug, and Cosmetic Act and its regulations.</code> | <code>The goal is to make sure that different interpretations of terminology vary widely across the Federal Food, Drug, and Cosmetic Act and its regulations.</code> | <code>2</code> |
| <code>The purpose is to ensure consistency in the interpretation of terms used across different parts of the Federal Food, Drug, and Cosmetic Act and its regulations.</code> | <code>The intention behind this is to guarantee that similar terms are interpreted consistently within the statute and its implementing regulations.</code> | <code>1</code> |
* Loss: [<code>SoftmaxLoss</code>](https://sbert.net/docs/package_reference/sentence_transformer/losses.html#softmaxloss)
### Training Hyperparameters
#### Non-Default Hyperparameters
- `eval_strategy`: steps
- `per_device_train_batch_size`: 128
- `per_device_eval_batch_size`: 128
- `learning_rate`: 3e-05
- `weight_decay`: 0.01
- `warmup_ratio`: 0.1
- `bf16`: True
- `batch_sampler`: no_duplicates
#### 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`: 128
- `per_device_eval_batch_size`: 128
- `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`: 3e-05
- `weight_decay`: 0.01
- `adam_beta1`: 0.9
- `adam_beta2`: 0.999
- `adam_epsilon`: 1e-08
- `max_grad_norm`: 1.0
- `num_train_epochs`: 3
- `max_steps`: -1
- `lr_scheduler_type`: linear
- `lr_scheduler_kwargs`: {}
- `warmup_ratio`: 0.1
- `warmup_steps`: 0
- `log_level`: passive
- `log_level_replica`: warning
- `log_on_each_node`: True
- `logging_nan_inf_filter`: True
- `save_safetensors`: True
- `save_on_each_node`: False
- `save_only_model`: False
- `restore_callback_states_from_checkpoint`: False
- `no_cuda`: False
- `use_cpu`: False
- `use_mps_device`: False
- `seed`: 42
- `data_seed`: None
- `jit_mode_eval`: False
- `use_ipex`: False
- `bf16`: True
- `fp16`: False
- `fp16_opt_level`: O1
- `half_precision_backend`: auto
- `bf16_full_eval`: False
- `fp16_full_eval`: False
- `tf32`: None
- `local_rank`: 0
- `ddp_backend`: None
- `tpu_num_cores`: None
- `tpu_metrics_debug`: False
- `debug`: []
- `dataloader_drop_last`: False
- `dataloader_num_workers`: 0
- `dataloader_prefetch_factor`: None
- `past_index`: -1
- `disable_tqdm`: False
- `remove_unused_columns`: True
- `label_names`: None
- `load_best_model_at_end`: 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`: no_duplicates
- `multi_dataset_batch_sampler`: proportional
</details>
### Training Logs
<details><summary>Click to expand</summary>
| Epoch | Step | Training Loss | triplet loss | natural-questions loss | pair-class loss |
|:------:|:-----:|:-------------:|:--------------------:|:----------------------:|:-----------------------:|
| 0.0026 | 10 | 1.1707 | - | - | - |
| 0.0051 | 20 | 1.4398 | - | - | - |
| 0.0077 | 30 | 1.1177 | - | - | - |
| 0.0102 | 40 | 1.337 | - | - | - |
| 0.0128 | 50 | 1.3094 | - | - | - |
| 0.0153 | 60 | 1.3527 | - | - | - |
| 0.0179 | 70 | 1.0938 | - | - | - |
| 0.0205 | 80 | 1.1795 | - | - | - |
| 0.0230 | 90 | 1.1525 | - | - | - |
| 0.0256 | 100 | 1.1584 | - | - | - |
| 0.0281 | 110 | 1.0561 | - | - | - |
| 0.0307 | 120 | 1.0497 | - | - | - |
| 0.0332 | 130 | 1.0765 | - | - | - |
| 0.0358 | 140 | 1.2655 | - | - | - |
| 0.0384 | 150 | 1.0642 | - | - | - |
| 0.0409 | 160 | 1.2373 | - | - | - |
| 0.0435 | 170 | 1.1048 | - | - | - |
| 0.0460 | 180 | 1.0555 | - | - | - |
| 0.0486 | 190 | 1.0665 | - | - | - |
| 0.0511 | 200 | 1.0416 | - | - | - |
| 0.0537 | 210 | 1.1101 | - | - | - |
| 0.0563 | 220 | 0.9804 | - | - | - |
| 0.0588 | 230 | 1.0349 | - | - | - |
| 0.0614 | 240 | 1.0572 | - | - | - |
| 0.0639 | 250 | 0.9677 | - | - | - |
| 0.0665 | 260 | 1.3367 | - | - | - |
| 0.0690 | 270 | 1.1872 | - | - | - |
| 0.0716 | 280 | 1.3214 | - | - | - |
| 0.0741 | 290 | 1.1236 | - | - | - |
| 0.0767 | 300 | 0.9422 | - | - | - |
| 0.0793 | 310 | 1.2298 | - | - | - |
| 0.0818 | 320 | 1.0567 | - | - | - |
| 0.0844 | 330 | 1.1267 | - | - | - |
| 0.0869 | 340 | 1.1045 | - | - | - |
| 0.0895 | 350 | 1.1986 | - | - | - |
| 0.0920 | 360 | 1.2155 | - | - | - |
| 0.0946 | 370 | 1.1971 | - | - | - |
| 0.0972 | 380 | 1.2324 | - | - | - |
| 0.0997 | 390 | 1.1244 | - | - | - |
| 0.1023 | 400 | 1.1597 | - | - | - |
| 0.1048 | 410 | 1.0963 | - | - | - |
| 0.1074 | 420 | 1.0303 | - | - | - |
| 0.1099 | 430 | 1.0667 | - | - | - |
| 0.1125 | 440 | 1.0421 | - | - | - |
| 0.1151 | 450 | 1.2969 | - | - | - |
| 0.1176 | 460 | 1.0174 | - | - | - |
| 0.1202 | 470 | 1.1774 | - | - | - |
| 0.1227 | 480 | 1.1024 | - | - | - |
| 0.1253 | 490 | 1.2135 | - | - | - |
| 0.1278 | 500 | 1.0365 | - | - | - |
| 0.1304 | 510 | 1.2741 | - | - | - |
| 0.1330 | 520 | 1.0621 | - | - | - |
| 0.1355 | 530 | 1.1155 | - | - | - |
| 0.1381 | 540 | 0.9648 | - | - | - |
| 0.1406 | 550 | 1.2931 | - | - | - |
| 0.1432 | 560 | 1.0685 | - | - | - |
| 0.1457 | 570 | 1.0907 | - | - | - |
| 0.1483 | 580 | 1.4771 | - | - | - |
| 0.1509 | 590 | 1.2467 | - | - | - |
| 0.1534 | 600 | 1.3106 | - | - | - |
| 0.1560 | 610 | 1.0369 | - | - | - |
| 0.1585 | 620 | 1.257 | - | - | - |
| 0.1611 | 630 | 1.5544 | - | - | - |
| 0.1636 | 640 | 1.2573 | - | - | - |
| 0.1662 | 650 | 1.2558 | - | - | - |
| 0.1688 | 660 | 1.4195 | - | - | - |
| 0.1713 | 670 | 1.2734 | - | - | - |
| 0.1739 | 680 | 1.3665 | - | - | - |
| 0.1764 | 690 | 1.2314 | - | - | - |
| 0.1790 | 700 | 1.6973 | - | - | - |
| 0.1815 | 710 | 1.5824 | - | - | - |
| 0.1841 | 720 | 1.3263 | - | - | - |
| 0.1867 | 730 | 1.18 | - | - | - |
| 0.1892 | 740 | 1.2197 | - | - | - |
| 0.1918 | 750 | 2.0825 | - | - | - |
| 0.1943 | 760 | 1.146 | - | - | - |
| 0.1969 | 770 | 1.0494 | - | - | - |
| 0.1994 | 780 | 1.6212 | - | - | - |
| 0.2020 | 790 | 1.2458 | - | - | - |
| 0.2046 | 800 | 0.9586 | - | - | - |
| 0.2071 | 810 | 1.3012 | - | - | - |
| 0.2097 | 820 | 1.3227 | - | - | - |
| 0.2122 | 830 | 1.2995 | - | - | - |
| 0.2148 | 840 | 1.4382 | - | - | - |
| 0.2173 | 850 | 0.9914 | - | - | - |
| 0.2199 | 860 | 1.3789 | - | - | - |
| 0.2224 | 870 | 0.78 | - | - | - |
| 0.2250 | 880 | 2.0291 | - | - | - |
| 0.2276 | 890 | 1.2744 | - | - | - |
| 0.2301 | 900 | 1.5524 | - | - | - |
| 0.2327 | 910 | 1.1003 | - | - | - |
| 0.2352 | 920 | 1.2761 | - | - | - |
| 0.2378 | 930 | 1.0052 | - | - | - |
| 0.2403 | 940 | 1.4054 | - | - | - |
| 0.2429 | 950 | 1.3834 | - | - | - |
| 0.2455 | 960 | 1.1076 | - | - | - |
| 0.2480 | 970 | 1.3723 | - | - | - |
| 0.2506 | 980 | 1.1703 | - | - | - |
| 0.2531 | 990 | 1.2798 | - | - | - |
| 0.2557 | 1000 | 1.0384 | 1.9672 | 1.5738 | 0.7390 |
| 0.2582 | 1010 | 1.0659 | - | - | - |
| 0.2608 | 1020 | 0.786 | - | - | - |
| 0.2634 | 1030 | 1.1735 | - | - | - |
| 0.2659 | 1040 | 1.6015 | - | - | - |
| 0.2685 | 1050 | 1.1714 | - | - | - |
| 0.2710 | 1060 | 0.9593 | - | - | - |
| 0.2736 | 1070 | 0.9219 | - | - | - |
| 0.2761 | 1080 | 1.2385 | - | - | - |
| 0.2787 | 1090 | 1.4025 | - | - | - |
| 0.2813 | 1100 | 1.0528 | - | - | - |
| 0.2838 | 1110 | 1.0912 | - | - | - |
| 0.2864 | 1120 | 1.0755 | - | - | - |
| 0.2889 | 1130 | 0.8722 | - | - | - |
| 0.2915 | 1140 | 0.8613 | - | - | - |
| 0.2940 | 1150 | 0.714 | - | - | - |
| 0.2966 | 1160 | 0.9849 | - | - | - |
| 0.2992 | 1170 | 1.5536 | - | - | - |
| 0.3017 | 1180 | 0.8425 | - | - | - |
| 0.3043 | 1190 | 1.0021 | - | - | - |
| 0.3068 | 1200 | 0.7547 | - | - | - |
| 0.3094 | 1210 | 1.1071 | - | - | - |
| 0.3119 | 1220 | 0.8453 | - | - | - |
| 0.3145 | 1230 | 0.8416 | - | - | - |
| 0.3171 | 1240 | 1.0041 | - | - | - |
| 0.3196 | 1250 | 1.1317 | - | - | - |
| 0.3222 | 1260 | 0.9105 | - | - | - |
| 0.3247 | 1270 | 0.8718 | - | - | - |
| 0.3273 | 1280 | 1.0268 | - | - | - |
| 0.3298 | 1290 | 1.0069 | - | - | - |
| 0.3324 | 1300 | 1.0736 | - | - | - |
| 0.3350 | 1310 | 0.8386 | - | - | - |
| 0.3375 | 1320 | 0.7839 | - | - | - |
| 0.3401 | 1330 | 0.8844 | - | - | - |
| 0.3426 | 1340 | 1.2852 | - | - | - |
| 0.3452 | 1350 | 0.8269 | - | - | - |
| 0.3477 | 1360 | 0.8158 | - | - | - |
| 0.3503 | 1370 | 0.8811 | - | - | - |
| 0.3529 | 1380 | 0.8127 | - | - | - |
| 0.3554 | 1390 | 0.9863 | - | - | - |
| 0.3580 | 1400 | 0.9983 | - | - | - |
| 0.3605 | 1410 | 1.0913 | - | - | - |
| 0.3631 | 1420 | 0.8338 | - | - | - |
| 0.3656 | 1430 | 0.7213 | - | - | - |
| 0.3682 | 1440 | 1.0293 | - | - | - |
| 0.3707 | 1450 | 0.8337 | - | - | - |
| 0.3733 | 1460 | 0.9256 | - | - | - |
| 0.3759 | 1470 | 1.0214 | - | - | - |
| 0.3784 | 1480 | 0.8967 | - | - | - |
| 0.3810 | 1490 | 0.8052 | - | - | - |
| 0.3835 | 1500 | 0.9588 | - | - | - |
| 0.3861 | 1510 | 0.9167 | - | - | - |
| 0.3886 | 1520 | 1.098 | - | - | - |
| 0.3912 | 1530 | 0.8574 | - | - | - |
| 0.3938 | 1540 | 0.7859 | - | - | - |
| 0.3963 | 1550 | 0.7916 | - | - | - |
| 0.3989 | 1560 | 0.7334 | - | - | - |
| 0.4014 | 1570 | 0.7245 | - | - | - |
| 0.4040 | 1580 | 0.6274 | - | - | - |
| 0.4065 | 1590 | 0.98 | - | - | - |
| 0.4091 | 1600 | 0.8322 | - | - | - |
| 0.4117 | 1610 | 0.7733 | - | - | - |
| 0.4142 | 1620 | 0.9476 | - | - | - |
| 0.4168 | 1630 | 0.9175 | - | - | - |
| 0.4193 | 1640 | 0.9388 | - | - | - |
| 0.4219 | 1650 | 0.8695 | - | - | - |
| 0.4244 | 1660 | 0.7446 | - | - | - |
| 0.4270 | 1670 | 0.7037 | - | - | - |
| 0.4296 | 1680 | 0.857 | - | - | - |
| 0.4321 | 1690 | 0.8691 | - | - | - |
| 0.4347 | 1700 | 1.2859 | - | - | - |
| 0.4372 | 1710 | 0.8383 | - | - | - |
| 0.4398 | 1720 | 1.0063 | - | - | - |
| 0.4423 | 1730 | 0.9503 | - | - | - |
| 0.4449 | 1740 | 0.9286 | - | - | - |
| 0.4475 | 1750 | 0.7624 | - | - | - |
| 0.4500 | 1760 | 1.0289 | - | - | - |
| 0.4526 | 1770 | 0.8778 | - | - | - |
| 0.4551 | 1780 | 1.0507 | - | - | - |
| 0.4577 | 1790 | 0.8792 | - | - | - |
| 0.4602 | 1800 | 0.564 | - | - | - |
| 0.4628 | 1810 | 0.8385 | - | - | - |
| 0.4654 | 1820 | 0.7852 | - | - | - |
| 0.4679 | 1830 | 1.096 | - | - | - |
| 0.4705 | 1840 | 1.059 | - | - | - |
| 0.4730 | 1850 | 0.7789 | - | - | - |
| 0.4756 | 1860 | 0.7415 | - | - | - |
| 0.4781 | 1870 | 0.726 | - | - | - |
| 0.4807 | 1880 | 0.7858 | - | - | - |
| 0.4833 | 1890 | 0.6238 | - | - | - |
| 0.4858 | 1900 | 1.0395 | - | - | - |
| 0.4884 | 1910 | 0.7295 | - | - | - |
| 0.4909 | 1920 | 0.9215 | - | - | - |
| 0.4935 | 1930 | 0.7803 | - | - | - |
| 0.4960 | 1940 | 0.6647 | - | - | - |
| 0.4986 | 1950 | 0.8575 | - | - | - |
| 0.5012 | 1960 | 0.7408 | - | - | - |
| 0.5037 | 1970 | 0.772 | - | - | - |
| 0.5063 | 1980 | 0.6131 | - | - | - |
| 0.5088 | 1990 | 0.8394 | - | - | - |
| 0.5114 | 2000 | 0.7548 | 1.2322 | 1.2839 | 0.5386 |
| 0.5139 | 2010 | 1.0089 | - | - | - |
| 0.5165 | 2020 | 0.8726 | - | - | - |
| 0.5190 | 2030 | 1.0068 | - | - | - |
| 0.5216 | 2040 | 0.6911 | - | - | - |
| 0.5242 | 2050 | 0.6863 | - | - | - |
| 0.5267 | 2060 | 0.684 | - | - | - |
| 0.5293 | 2070 | 0.6317 | - | - | - |
| 0.5318 | 2080 | 0.8134 | - | - | - |
| 0.5344 | 2090 | 0.7953 | - | - | - |
| 0.5369 | 2100 | 0.7435 | - | - | - |
| 0.5395 | 2110 | 0.7763 | - | - | - |
| 0.5421 | 2120 | 0.7817 | - | - | - |
| 0.5446 | 2130 | 0.7257 | - | - | - |
| 0.5472 | 2140 | 0.7699 | - | - | - |
| 0.5497 | 2150 | 0.7071 | - | - | - |
| 0.5523 | 2160 | 0.6143 | - | - | - |
| 0.5548 | 2170 | 0.8661 | - | - | - |
| 0.5574 | 2180 | 0.7011 | - | - | - |
| 0.5600 | 2190 | 0.6527 | - | - | - |
| 0.5625 | 2200 | 0.7136 | - | - | - |
| 0.5651 | 2210 | 0.7573 | - | - | - |
| 0.5676 | 2220 | 0.7446 | - | - | - |
| 0.5702 | 2230 | 0.7281 | - | - | - |
| 0.5727 | 2240 | 0.6477 | - | - | - |
| 0.5753 | 2250 | 0.6089 | - | - | - |
| 0.5779 | 2260 | 0.9791 | - | - | - |
| 0.5804 | 2270 | 0.6604 | - | - | - |
| 0.5830 | 2280 | 0.616 | - | - | - |
| 0.5855 | 2290 | 0.7537 | - | - | - |
| 0.5881 | 2300 | 0.8455 | - | - | - |
| 0.5906 | 2310 | 0.7813 | - | - | - |
| 0.5932 | 2320 | 0.7018 | - | - | - |
| 0.5958 | 2330 | 0.8648 | - | - | - |
| 0.5983 | 2340 | 0.6803 | - | - | - |
| 0.6009 | 2350 | 0.6801 | - | - | - |
| 0.6034 | 2360 | 0.8162 | - | - | - |
| 0.6060 | 2370 | 0.8988 | - | - | - |
| 0.6085 | 2380 | 0.7448 | - | - | - |
| 0.6111 | 2390 | 0.6624 | - | - | - |
| 0.6137 | 2400 | 0.7872 | - | - | - |
| 0.6162 | 2410 | 0.5589 | - | - | - |
| 0.6188 | 2420 | 0.8243 | - | - | - |
| 0.6213 | 2430 | 0.6335 | - | - | - |
| 0.6239 | 2440 | 0.7356 | - | - | - |
| 0.6264 | 2450 | 0.5682 | - | - | - |
| 0.6290 | 2460 | 0.662 | - | - | - |
| 0.6316 | 2470 | 0.6618 | - | - | - |
| 0.6341 | 2480 | 0.6632 | - | - | - |
| 0.6367 | 2490 | 0.6072 | - | - | - |
| 0.6392 | 2500 | 0.6689 | - | - | - |
| 0.6418 | 2510 | 0.49 | - | - | - |
| 0.6443 | 2520 | 0.5977 | - | - | - |
| 0.6469 | 2530 | 0.831 | - | - | - |
| 0.6495 | 2540 | 0.8773 | - | - | - |
| 0.6520 | 2550 | 0.6686 | - | - | - |
| 0.6546 | 2560 | 0.5799 | - | - | - |
| 0.6571 | 2570 | 0.6255 | - | - | - |
| 0.6597 | 2580 | 0.6272 | - | - | - |
| 0.6622 | 2590 | 0.672 | - | - | - |
| 0.6648 | 2600 | 0.7736 | - | - | - |
| 0.6673 | 2610 | 0.561 | - | - | - |
| 0.6699 | 2620 | 0.4959 | - | - | - |
| 0.6725 | 2630 | 0.6237 | - | - | - |
| 0.6750 | 2640 | 0.6684 | - | - | - |
| 0.6776 | 2650 | 0.6777 | - | - | - |
| 0.6801 | 2660 | 0.5853 | - | - | - |
| 0.6827 | 2670 | 0.6338 | - | - | - |
| 0.6852 | 2680 | 0.4402 | - | - | - |
| 0.6878 | 2690 | 0.7279 | - | - | - |
| 0.6904 | 2700 | 0.6405 | - | - | - |
| 0.6929 | 2710 | 0.6669 | - | - | - |
| 0.6955 | 2720 | 0.6239 | - | - | - |
| 0.6980 | 2730 | 0.6889 | - | - | - |
| 0.7006 | 2740 | 0.6653 | - | - | - |
| 0.7031 | 2750 | 0.5996 | - | - | - |
| 0.7057 | 2760 | 0.6477 | - | - | - |
| 0.7083 | 2770 | 0.6088 | - | - | - |
| 0.7108 | 2780 | 0.5685 | - | - | - |
| 0.7134 | 2790 | 0.7533 | - | - | - |
| 0.7159 | 2800 | 0.7903 | - | - | - |
| 0.7185 | 2810 | 0.4748 | - | - | - |
| 0.7210 | 2820 | 0.5296 | - | - | - |
| 0.7236 | 2830 | 0.6541 | - | - | - |
| 0.7262 | 2840 | 0.5332 | - | - | - |
| 0.7287 | 2850 | 0.4696 | - | - | - |
| 0.7313 | 2860 | 0.5556 | - | - | - |
| 0.7338 | 2870 | 0.5828 | - | - | - |
| 0.7364 | 2880 | 0.5641 | - | - | - |
| 0.7389 | 2890 | 0.5416 | - | - | - |
| 0.7415 | 2900 | 0.4942 | - | - | - |
| 0.7441 | 2910 | 0.7297 | - | - | - |
| 0.7466 | 2920 | 0.5595 | - | - | - |
| 0.7492 | 2930 | 0.6382 | - | - | - |
| 0.7517 | 2940 | 0.6296 | - | - | - |
| 0.7543 | 2950 | 0.5557 | - | - | - |
| 0.7568 | 2960 | 0.5127 | - | - | - |
| 0.7594 | 2970 | 0.6284 | - | - | - |
| 0.7620 | 2980 | 0.5141 | - | - | - |
| 0.7645 | 2990 | 0.6558 | - | - | - |
| 0.7671 | 3000 | 0.5548 | 0.9845 | 1.2546 | 0.5065 |
| 0.7696 | 3010 | 0.5806 | - | - | - |
| 0.7722 | 3020 | 0.7214 | - | - | - |
| 0.7747 | 3030 | 0.5564 | - | - | - |
| 0.7773 | 3040 | 0.4904 | - | - | - |
| 0.7799 | 3050 | 0.6085 | - | - | - |
| 0.7824 | 3060 | 0.5571 | - | - | - |
| 0.7850 | 3070 | 0.5072 | - | - | - |
| 0.7875 | 3080 | 0.5178 | - | - | - |
| 0.7901 | 3090 | 0.5979 | - | - | - |
| 0.7926 | 3100 | 0.5441 | - | - | - |
| 0.7952 | 3110 | 0.5605 | - | - | - |
| 0.7977 | 3120 | 0.5547 | - | - | - |
| 0.8003 | 3130 | 0.6522 | - | - | - |
| 0.8029 | 3140 | 0.6491 | - | - | - |
| 0.8054 | 3150 | 0.6327 | - | - | - |
| 0.8080 | 3160 | 0.4649 | - | - | - |
| 0.8105 | 3170 | 0.5041 | - | - | - |
| 0.8131 | 3180 | 0.5694 | - | - | - |
| 0.8156 | 3190 | 0.5865 | - | - | - |
| 0.8182 | 3200 | 0.6403 | - | - | - |
| 0.8208 | 3210 | 0.6079 | - | - | - |
| 0.8233 | 3220 | 0.5725 | - | - | - |
| 0.8259 | 3230 | 0.5179 | - | - | - |
| 0.8284 | 3240 | 0.5256 | - | - | - |
| 0.8310 | 3250 | 0.4747 | - | - | - |
| 0.8335 | 3260 | 0.5917 | - | - | - |
| 0.8361 | 3270 | 0.5964 | - | - | - |
| 0.8387 | 3280 | 0.446 | - | - | - |
| 0.8412 | 3290 | 0.7388 | - | - | - |
| 0.8438 | 3300 | 0.7815 | - | - | - |
| 0.8463 | 3310 | 0.5636 | - | - | - |
| 0.8489 | 3320 | 0.67 | - | - | - |
| 0.8514 | 3330 | 0.5708 | - | - | - |
| 0.8540 | 3340 | 0.657 | - | - | - |
| 0.8566 | 3350 | 0.6734 | - | - | - |
| 0.8591 | 3360 | 0.6354 | - | - | - |
| 0.8617 | 3370 | 0.6066 | - | - | - |
| 0.8642 | 3380 | 0.6637 | - | - | - |
| 0.8668 | 3390 | 0.8015 | - | - | - |
| 0.8693 | 3400 | 0.7256 | - | - | - |
| 0.8719 | 3410 | 0.5928 | - | - | - |
| 0.8745 | 3420 | 0.6384 | - | - | - |
| 0.8770 | 3430 | 0.6484 | - | - | - |
| 0.8796 | 3440 | 0.616 | - | - | - |
| 0.8821 | 3450 | 0.8358 | - | - | - |
| 0.8847 | 3460 | 0.5322 | - | - | - |
| 0.8872 | 3470 | 0.7502 | - | - | - |
| 0.8898 | 3480 | 0.5876 | - | - | - |
| 0.8924 | 3490 | 0.747 | - | - | - |
| 0.8949 | 3500 | 0.954 | - | - | - |
| 0.8975 | 3510 | 0.4548 | - | - | - |
| 0.9000 | 3520 | 0.5293 | - | - | - |
| 0.9026 | 3530 | 0.5781 | - | - | - |
| 0.9051 | 3540 | 0.6266 | - | - | - |
| 0.9077 | 3550 | 0.5068 | - | - | - |
| 0.9103 | 3560 | 0.6532 | - | - | - |
| 0.9128 | 3570 | 0.521 | - | - | - |
| 0.9154 | 3580 | 0.5661 | - | - | - |
| 0.9179 | 3590 | 0.5974 | - | - | - |
| 0.9205 | 3600 | 0.936 | - | - | - |
| 0.9230 | 3610 | 0.6881 | - | - | - |
| 0.9256 | 3620 | 0.648 | - | - | - |
| 0.9282 | 3630 | 0.5713 | - | - | - |
| 0.9307 | 3640 | 0.7123 | - | - | - |
| 0.9333 | 3650 | 0.5412 | - | - | - |
| 0.9358 | 3660 | 0.6557 | - | - | - |
| 0.9384 | 3670 | 0.6858 | - | - | - |
| 0.9409 | 3680 | 0.5731 | - | - | - |
| 0.9435 | 3690 | 0.6859 | - | - | - |
| 0.9460 | 3700 | 0.5787 | - | - | - |
| 0.9486 | 3710 | 0.6479 | - | - | - |
| 0.9512 | 3720 | 0.809 | - | - | - |
| 0.9537 | 3730 | 0.6127 | - | - | - |
| 0.9563 | 3740 | 0.8344 | - | - | - |
| 0.9588 | 3750 | 0.6894 | - | - | - |
| 0.9614 | 3760 | 0.5469 | - | - | - |
| 0.9639 | 3770 | 0.6216 | - | - | - |
| 0.9665 | 3780 | 0.6415 | - | - | - |
| 0.9691 | 3790 | 0.6896 | - | - | - |
| 0.9716 | 3800 | 0.7863 | - | - | - |
| 0.9742 | 3810 | 1.0274 | - | - | - |
| 0.9767 | 3820 | 0.6791 | - | - | - |
| 0.9793 | 3830 | 0.442 | - | - | - |
| 0.9818 | 3840 | 0.8335 | - | - | - |
| 0.9844 | 3850 | 0.5654 | - | - | - |
| 0.9870 | 3860 | 0.6092 | - | - | - |
| 0.9895 | 3870 | 0.6547 | - | - | - |
| 0.9921 | 3880 | 0.6271 | - | - | - |
| 0.9946 | 3890 | 0.7524 | - | - | - |
| 0.9972 | 3900 | 0.7714 | - | - | - |
| 0.9997 | 3910 | 0.5588 | - | - | - |
| 1.0023 | 3920 | 0.6197 | - | - | - |
| 1.0049 | 3930 | 0.6721 | - | - | - |
| 1.0074 | 3940 | 0.4887 | - | - | - |
| 1.0100 | 3950 | 0.5616 | - | - | - |
| 1.0125 | 3960 | 0.6064 | - | - | - |
| 1.0151 | 3970 | 0.5886 | - | - | - |
| 1.0176 | 3980 | 0.4971 | - | - | - |
| 1.0202 | 3990 | 0.451 | - | - | - |
| 1.0228 | 4000 | 0.4847 | 0.7547 | 1.1616 | 0.4379 |
| 1.0253 | 4010 | 0.4582 | - | - | - |
| 1.0279 | 4020 | 0.4161 | - | - | - |
| 1.0304 | 4030 | 0.4513 | - | - | - |
| 1.0330 | 4040 | 0.4289 | - | - | - |
| 1.0355 | 4050 | 0.5468 | - | - | - |
| 1.0381 | 4060 | 0.4495 | - | - | - |
| 1.0407 | 4070 | 0.5929 | - | - | - |
| 1.0432 | 4080 | 0.4748 | - | - | - |
| 1.0458 | 4090 | 0.4239 | - | - | - |
| 1.0483 | 4100 | 0.5096 | - | - | - |
| 1.0509 | 4110 | 0.4209 | - | - | - |
| 1.0534 | 4120 | 0.5346 | - | - | - |
| 1.0560 | 4130 | 0.54 | - | - | - |
| 1.0586 | 4140 | 0.4417 | - | - | - |
| 1.0611 | 4150 | 0.5158 | - | - | - |
| 1.0637 | 4160 | 0.4592 | - | - | - |
| 1.0662 | 4170 | 0.6933 | - | - | - |
| 1.0688 | 4180 | 0.5689 | - | - | - |
| 1.0713 | 4190 | 0.6421 | - | - | - |
| 1.0739 | 4200 | 0.546 | - | - | - |
| 1.0765 | 4210 | 0.4952 | - | - | - |
| 1.0790 | 4220 | 0.6514 | - | - | - |
| 1.0816 | 4230 | 0.6293 | - | - | - |
| 1.0841 | 4240 | 0.5825 | - | - | - |
| 1.0867 | 4250 | 0.584 | - | - | - |
| 1.0892 | 4260 | 0.6204 | - | - | - |
| 1.0918 | 4270 | 0.6902 | - | - | - |
| 1.0943 | 4280 | 0.6685 | - | - | - |
| 1.0969 | 4290 | 0.6813 | - | - | - |
| 1.0995 | 4300 | 0.6038 | - | - | - |
| 1.1020 | 4310 | 0.6772 | - | - | - |
| 1.1046 | 4320 | 0.6142 | - | - | - |
| 1.1071 | 4330 | 0.5894 | - | - | - |
| 1.1097 | 4340 | 0.5789 | - | - | - |
| 1.1122 | 4350 | 0.4491 | - | - | - |
| 1.1148 | 4360 | 0.5892 | - | - | - |
| 1.1174 | 4370 | 0.5034 | - | - | - |
| 1.1199 | 4380 | 0.5833 | - | - | - |
| 1.1225 | 4390 | 0.6176 | - | - | - |
| 1.1250 | 4400 | 0.6472 | - | - | - |
| 1.1276 | 4410 | 0.5534 | - | - | - |
| 1.1301 | 4420 | 0.7378 | - | - | - |
| 1.1327 | 4430 | 0.5563 | - | - | - |
| 1.1353 | 4440 | 0.6564 | - | - | - |
| 1.1378 | 4450 | 0.5604 | - | - | - |
| 1.1404 | 4460 | 0.5094 | - | - | - |
| 1.1429 | 4470 | 0.5543 | - | - | - |
| 1.1455 | 4480 | 0.4229 | - | - | - |
| 1.1480 | 4490 | 0.695 | - | - | - |
| 1.1506 | 4500 | 0.5899 | - | - | - |
| 1.1532 | 4510 | 0.6987 | - | - | - |
| 1.1557 | 4520 | 0.5547 | - | - | - |
| 1.1583 | 4530 | 0.5025 | - | - | - |
| 1.1608 | 4540 | 0.9436 | - | - | - |
| 1.1634 | 4550 | 0.7775 | - | - | - |
| 1.1659 | 4560 | 0.6142 | - | - | - |
| 1.1685 | 4570 | 0.8614 | - | - | - |
| 1.1711 | 4580 | 0.6176 | - | - | - |
| 1.1736 | 4590 | 0.6838 | - | - | - |
| 1.1762 | 4600 | 0.6569 | - | - | - |
| 1.1787 | 4610 | 0.8706 | - | - | - |
| 1.1813 | 4620 | 0.8677 | - | - | - |
| 1.1838 | 4630 | 0.5774 | - | - | - |
| 1.1864 | 4640 | 0.4048 | - | - | - |
| 1.1890 | 4650 | 0.4929 | - | - | - |
| 1.1915 | 4660 | 0.5701 | - | - | - |
| 1.1941 | 4670 | 0.5625 | - | - | - |
| 1.1966 | 4680 | 0.415 | - | - | - |
| 1.1992 | 4690 | 0.5585 | - | - | - |
| 1.2017 | 4700 | 0.7766 | - | - | - |
| 1.2043 | 4710 | 0.4176 | - | - | - |
| 1.2069 | 4720 | 0.5283 | - | - | - |
| 1.2094 | 4730 | 0.5598 | - | - | - |
| 1.2120 | 4740 | 0.6946 | - | - | - |
| 1.2145 | 4750 | 0.4879 | - | - | - |
| 1.2171 | 4760 | 0.5872 | - | - | - |
| 1.2196 | 4770 | 0.6603 | - | - | - |
| 1.2222 | 4780 | 0.4019 | - | - | - |
| 1.2248 | 4790 | 0.5007 | - | - | - |
| 1.2273 | 4800 | 0.4738 | - | - | - |
| 1.2299 | 4810 | 0.7269 | - | - | - |
| 1.2324 | 4820 | 0.6355 | - | - | - |
| 1.2350 | 4830 | 0.6972 | - | - | - |
| 1.2375 | 4840 | 0.4684 | - | - | - |
| 1.2401 | 4850 | 0.674 | - | - | - |
| 1.2426 | 4860 | 0.6338 | - | - | - |
| 1.2452 | 4870 | 0.6925 | - | - | - |
| 1.2478 | 4880 | 0.7255 | - | - | - |
| 1.2503 | 4890 | 0.6693 | - | - | - |
| 1.2529 | 4900 | 0.5574 | - | - | - |
| 1.2554 | 4910 | 0.5629 | - | - | - |
| 1.2580 | 4920 | 0.5522 | - | - | - |
| 1.2605 | 4930 | 0.3723 | - | - | - |
| 1.2631 | 4940 | 0.4743 | - | - | - |
| 1.2657 | 4950 | 0.4633 | - | - | - |
| 1.2682 | 4960 | 0.6679 | - | - | - |
| 1.2708 | 4970 | 0.4972 | - | - | - |
| 1.2733 | 4980 | 0.4702 | - | - | - |
| 1.2759 | 4990 | 0.6623 | - | - | - |
| 1.2784 | 5000 | 0.6882 | 0.7464 | 1.0944 | 0.4265 |
| 1.2810 | 5010 | 0.6142 | - | - | - |
| 1.2836 | 5020 | 0.5163 | - | - | - |
| 1.2861 | 5030 | 0.66 | - | - | - |
| 1.2887 | 5040 | 0.5061 | - | - | - |
| 1.2912 | 5050 | 0.4545 | - | - | - |
| 1.2938 | 5060 | 0.4068 | - | - | - |
| 1.2963 | 5070 | 0.4095 | - | - | - |
| 1.2989 | 5080 | 0.7697 | - | - | - |
| 1.3015 | 5090 | 0.3916 | - | - | - |
| 1.3040 | 5100 | 0.5554 | - | - | - |
| 1.3066 | 5110 | 0.4539 | - | - | - |
| 1.3091 | 5120 | 0.5223 | - | - | - |
| 1.3117 | 5130 | 0.4381 | - | - | - |
| 1.3142 | 5140 | 0.3755 | - | - | - |
| 1.3168 | 5150 | 0.5873 | - | - | - |
| 1.3194 | 5160 | 0.6344 | - | - | - |
| 1.3219 | 5170 | 0.4914 | - | - | - |
| 1.3245 | 5180 | 0.4993 | - | - | - |
| 1.3270 | 5190 | 0.3972 | - | - | - |
| 1.3296 | 5200 | 0.5226 | - | - | - |
| 1.3321 | 5210 | 0.6332 | - | - | - |
| 1.3347 | 5220 | 0.4855 | - | - | - |
| 1.3373 | 5230 | 0.4543 | - | - | - |
| 1.3398 | 5240 | 0.4119 | - | - | - |
| 1.3424 | 5250 | 0.4983 | - | - | - |
| 1.3449 | 5260 | 0.5639 | - | - | - |
| 1.3475 | 5270 | 0.3813 | - | - | - |
| 1.3500 | 5280 | 0.4136 | - | - | - |
| 1.3526 | 5290 | 0.5028 | - | - | - |
| 1.3552 | 5300 | 0.5798 | - | - | - |
| 1.3577 | 5310 | 0.5341 | - | - | - |
| 1.3603 | 5320 | 0.6453 | - | - | - |
| 1.3628 | 5330 | 0.5209 | - | - | - |
| 1.3654 | 5340 | 0.466 | - | - | - |
| 1.3679 | 5350 | 0.5716 | - | - | - |
| 1.3705 | 5360 | 0.4509 | - | - | - |
| 1.3731 | 5370 | 0.4874 | - | - | - |
| 1.3756 | 5380 | 0.5475 | - | - | - |
| 1.3782 | 5390 | 0.5323 | - | - | - |
| 1.3807 | 5400 | 0.4873 | - | - | - |
| 1.3833 | 5410 | 0.5773 | - | - | - |
| 1.3858 | 5420 | 0.4543 | - | - | - |
| 1.3884 | 5430 | 0.5811 | - | - | - |
| 1.3909 | 5440 | 0.5467 | - | - | - |
| 1.3935 | 5450 | 0.4542 | - | - | - |
| 1.3961 | 5460 | 0.4626 | - | - | - |
| 1.3986 | 5470 | 0.4366 | - | - | - |
| 1.4012 | 5480 | 0.4025 | - | - | - |
| 1.4037 | 5490 | 0.432 | - | - | - |
| 1.4063 | 5500 | 0.5241 | - | - | - |
| 1.4088 | 5510 | 0.527 | - | - | - |
| 1.4114 | 5520 | 0.4462 | - | - | - |
| 1.4140 | 5530 | 0.6555 | - | - | - |
| 1.4165 | 5540 | 0.5221 | - | - | - |
| 1.4191 | 5550 | 0.658 | - | - | - |
| 1.4216 | 5560 | 0.5444 | - | - | - |
| 1.4242 | 5570 | 0.4359 | - | - | - |
| 1.4267 | 5580 | 0.4461 | - | - | - |
| 1.4293 | 5590 | 0.4948 | - | - | - |
| 1.4319 | 5600 | 0.5505 | - | - | - |
| 1.4344 | 5610 | 0.7858 | - | - | - |
| 1.4370 | 5620 | 0.6252 | - | - | - |
| 1.4395 | 5630 | 0.6586 | - | - | - |
| 1.4421 | 5640 | 0.518 | - | - | - |
| 1.4446 | 5650 | 0.5964 | - | - | - |
| 1.4472 | 5660 | 0.5859 | - | - | - |
| 1.4498 | 5670 | 0.7199 | - | - | - |
| 1.4523 | 5680 | 0.4844 | - | - | - |
| 1.4549 | 5690 | 0.7428 | - | - | - |
| 1.4574 | 5700 | 0.6263 | - | - | - |
| 1.4600 | 5710 | 0.3484 | - | - | - |
| 1.4625 | 5720 | 0.4461 | - | - | - |
| 1.4651 | 5730 | 0.5068 | - | - | - |
| 1.4677 | 5740 | 0.7243 | - | - | - |
| 1.4702 | 5750 | 0.7431 | - | - | - |
| 1.4728 | 5760 | 0.4467 | - | - | - |
| 1.4753 | 5770 | 0.4034 | - | - | - |
| 1.4779 | 5780 | 0.3927 | - | - | - |
| 1.4804 | 5790 | 0.6301 | - | - | - |
| 1.4830 | 5800 | 0.4042 | - | - | - |
| 1.4856 | 5810 | 0.5382 | - | - | - |
| 1.4881 | 5820 | 0.4954 | - | - | - |
| 1.4907 | 5830 | 0.4905 | - | - | - |
| 1.4932 | 5840 | 0.4893 | - | - | - |
| 1.4958 | 5850 | 0.41 | - | - | - |
| 1.4983 | 5860 | 0.4864 | - | - | - |
| 1.5009 | 5870 | 0.4895 | - | - | - |
| 1.5035 | 5880 | 0.4969 | - | - | - |
| 1.5060 | 5890 | 0.3876 | - | - | - |
| 1.5086 | 5900 | 0.4411 | - | - | - |
| 1.5111 | 5910 | 0.5686 | - | - | - |
| 1.5137 | 5920 | 0.5737 | - | - | - |
| 1.5162 | 5930 | 0.547 | - | - | - |
| 1.5188 | 5940 | 0.7115 | - | - | - |
| 1.5214 | 5950 | 0.4751 | - | - | - |
| 1.5239 | 5960 | 0.4127 | - | - | - |
| 1.5265 | 5970 | 0.4453 | - | - | - |
| 1.5290 | 5980 | 0.4253 | - | - | - |
| 1.5316 | 5990 | 0.5254 | - | - | - |
| 1.5341 | 6000 | 0.5436 | 0.6390 | 1.0603 | 0.3939 |
| 1.5367 | 6010 | 0.4197 | - | - | - |
| 1.5392 | 6020 | 0.534 | - | - | - |
| 1.5418 | 6030 | 0.4965 | - | - | - |
| 1.5444 | 6040 | 0.4878 | - | - | - |
| 1.5469 | 6050 | 0.4294 | - | - | - |
| 1.5495 | 6060 | 0.4437 | - | - | - |
| 1.5520 | 6070 | 0.3917 | - | - | - |
| 1.5546 | 6080 | 0.564 | - | - | - |
| 1.5571 | 6090 | 0.4542 | - | - | - |
| 1.5597 | 6100 | 0.421 | - | - | - |
| 1.5623 | 6110 | 0.4846 | - | - | - |
| 1.5648 | 6120 | 0.4944 | - | - | - |
| 1.5674 | 6130 | 0.4726 | - | - | - |
| 1.5699 | 6140 | 0.496 | - | - | - |
| 1.5725 | 6150 | 0.4234 | - | - | - |
| 1.5750 | 6160 | 0.3752 | - | - | - |
| 1.5776 | 6170 | 0.6108 | - | - | - |
| 1.5802 | 6180 | 0.4439 | - | - | - |
| 1.5827 | 6190 | 0.4217 | - | - | - |
| 1.5853 | 6200 | 0.4975 | - | - | - |
| 1.5878 | 6210 | 0.5268 | - | - | - |
| 1.5904 | 6220 | 0.5703 | - | - | - |
| 1.5929 | 6230 | 0.4639 | - | - | - |
| 1.5955 | 6240 | 0.5542 | - | - | - |
| 1.5981 | 6250 | 0.4998 | - | - | - |
| 1.6006 | 6260 | 0.44 | - | - | - |
| 1.6032 | 6270 | 0.5566 | - | - | - |
| 1.6057 | 6280 | 0.5598 | - | - | - |
| 1.6083 | 6290 | 0.4352 | - | - | - |
| 1.6108 | 6300 | 0.4595 | - | - | - |
| 1.6134 | 6310 | 0.5487 | - | - | - |
| 1.6160 | 6320 | 0.3698 | - | - | - |
| 1.6185 | 6330 | 0.567 | - | - | - |
| 1.6211 | 6340 | 0.4251 | - | - | - |
| 1.6236 | 6350 | 0.4386 | - | - | - |
| 1.6262 | 6360 | 0.3881 | - | - | - |
| 1.6287 | 6370 | 0.4287 | - | - | - |
| 1.6313 | 6380 | 0.407 | - | - | - |
| 1.6339 | 6390 | 0.4974 | - | - | - |
| 1.6364 | 6400 | 0.4002 | - | - | - |
| 1.6390 | 6410 | 0.4267 | - | - | - |
| 1.6415 | 6420 | 0.323 | - | - | - |
| 1.6441 | 6430 | 0.3948 | - | - | - |
| 1.6466 | 6440 | 0.5634 | - | - | - |
| 1.6492 | 6450 | 0.5853 | - | - | - |
| 1.6518 | 6460 | 0.4512 | - | - | - |
| 1.6543 | 6470 | 0.4345 | - | - | - |
| 1.6569 | 6480 | 0.3606 | - | - | - |
| 1.6594 | 6490 | 0.4674 | - | - | - |
| 1.6620 | 6500 | 0.4098 | - | - | - |
| 1.6645 | 6510 | 0.6015 | - | - | - |
| 1.6671 | 6520 | 0.3807 | - | - | - |
| 1.6696 | 6530 | 0.3343 | - | - | - |
| 1.6722 | 6540 | 0.4308 | - | - | - |
| 1.6748 | 6550 | 0.3871 | - | - | - |
| 1.6773 | 6560 | 0.4281 | - | - | - |
| 1.6799 | 6570 | 0.4097 | - | - | - |
| 1.6824 | 6580 | 0.4772 | - | - | - |
| 1.6850 | 6590 | 0.3188 | - | - | - |
| 1.6875 | 6600 | 0.449 | - | - | - |
| 1.6901 | 6610 | 0.3407 | - | - | - |
| 1.6927 | 6620 | 0.5092 | - | - | - |
| 1.6952 | 6630 | 0.4524 | - | - | - |
| 1.6978 | 6640 | 0.4458 | - | - | - |
| 1.7003 | 6650 | 0.4102 | - | - | - |
| 1.7029 | 6660 | 0.4368 | - | - | - |
| 1.7054 | 6670 | 0.417 | - | - | - |
| 1.7080 | 6680 | 0.4124 | - | - | - |
| 1.7106 | 6690 | 0.4035 | - | - | - |
| 1.7131 | 6700 | 0.4384 | - | - | - |
| 1.7157 | 6710 | 0.5228 | - | - | - |
| 1.7182 | 6720 | 0.3778 | - | - | - |
| 1.7208 | 6730 | 0.368 | - | - | - |
| 1.7233 | 6740 | 0.3979 | - | - | - |
| 1.7259 | 6750 | 0.3965 | - | - | - |
| 1.7285 | 6760 | 0.3225 | - | - | - |
| 1.7310 | 6770 | 0.3861 | - | - | - |
| 1.7336 | 6780 | 0.3819 | - | - | - |
| 1.7361 | 6790 | 0.3794 | - | - | - |
| 1.7387 | 6800 | 0.3851 | - | - | - |
| 1.7412 | 6810 | 0.3215 | - | - | - |
| 1.7438 | 6820 | 0.4943 | - | - | - |
| 1.7464 | 6830 | 0.3747 | - | - | - |
| 1.7489 | 6840 | 0.4361 | - | - | - |
| 1.7515 | 6850 | 0.4372 | - | - | - |
| 1.7540 | 6860 | 0.3805 | - | - | - |
| 1.7566 | 6870 | 0.3455 | - | - | - |
| 1.7591 | 6880 | 0.4322 | - | - | - |
| 1.7617 | 6890 | 0.3251 | - | - | - |
| 1.7643 | 6900 | 0.4783 | - | - | - |
| 1.7668 | 6910 | 0.3606 | - | - | - |
| 1.7694 | 6920 | 0.4204 | - | - | - |
| 1.7719 | 6930 | 0.4985 | - | - | - |
| 1.7745 | 6940 | 0.3783 | - | - | - |
| 1.7770 | 6950 | 0.3711 | - | - | - |
| 1.7796 | 6960 | 0.4081 | - | - | - |
| 1.7822 | 6970 | 0.4105 | - | - | - |
| 1.7847 | 6980 | 0.3585 | - | - | - |
| 1.7873 | 6990 | 0.3371 | - | - | - |
| 1.7898 | 7000 | 0.384 | 0.6367 | 1.1045 | 0.4125 |
| 1.7924 | 7010 | 0.4205 | - | - | - |
| 1.7949 | 7020 | 0.3591 | - | - | - |
| 1.7975 | 7030 | 0.4315 | - | - | - |
| 1.8001 | 7040 | 0.4607 | - | - | - |
| 1.8026 | 7050 | 0.4628 | - | - | - |
| 1.8052 | 7060 | 0.407 | - | - | - |
| 1.8077 | 7070 | 0.3853 | - | - | - |
| 1.8103 | 7080 | 0.3309 | - | - | - |
| 1.8128 | 7090 | 0.4583 | - | - | - |
| 1.8154 | 7100 | 0.3469 | - | - | - |
| 1.8179 | 7110 | 0.4405 | - | - | - |
| 1.8205 | 7120 | 0.488 | - | - | - |
| 1.8231 | 7130 | 0.3955 | - | - | - |
| 1.8256 | 7140 | 0.4108 | - | - | - |
| 1.8282 | 7150 | 0.3444 | - | - | - |
| 1.8307 | 7160 | 0.3279 | - | - | - |
| 1.8333 | 7170 | 0.4007 | - | - | - |
| 1.8358 | 7180 | 0.4486 | - | - | - |
| 1.8384 | 7190 | 0.3288 | - | - | - |
| 1.8410 | 7200 | 0.5559 | - | - | - |
| 1.8435 | 7210 | 0.5456 | - | - | - |
| 1.8461 | 7220 | 0.3915 | - | - | - |
| 1.8486 | 7230 | 0.4971 | - | - | - |
| 1.8512 | 7240 | 0.363 | - | - | - |
| 1.8537 | 7250 | 0.4358 | - | - | - |
| 1.8563 | 7260 | 0.5693 | - | - | - |
| 1.8589 | 7270 | 0.4443 | - | - | - |
| 1.8614 | 7280 | 0.4407 | - | - | - |
| 1.8640 | 7290 | 0.4424 | - | - | - |
| 1.8665 | 7300 | 0.5502 | - | - | - |
| 1.8691 | 7310 | 0.4879 | - | - | - |
| 1.8716 | 7320 | 0.5395 | - | - | - |
| 1.8742 | 7330 | 0.4694 | - | - | - |
| 1.8768 | 7340 | 0.4322 | - | - | - |
| 1.8793 | 7350 | 0.4352 | - | - | - |
| 1.8819 | 7360 | 0.5727 | - | - | - |
| 1.8844 | 7370 | 0.4332 | - | - | - |
| 1.8870 | 7380 | 0.4912 | - | - | - |
| 1.8895 | 7390 | 0.4102 | - | - | - |
| 1.8921 | 7400 | 0.5104 | - | - | - |
| 1.8947 | 7410 | 0.7786 | - | - | - |
| 1.8972 | 7420 | 0.3641 | - | - | - |
| 1.8998 | 7430 | 0.3758 | - | - | - |
| 1.9023 | 7440 | 0.4227 | - | - | - |
| 1.9049 | 7450 | 0.4766 | - | - | - |
| 1.9074 | 7460 | 0.377 | - | - | - |
| 1.9100 | 7470 | 0.4256 | - | - | - |
| 1.9126 | 7480 | 0.3535 | - | - | - |
| 1.9151 | 7490 | 0.3973 | - | - | - |
| 1.9177 | 7500 | 0.4426 | - | - | - |
| 1.9202 | 7510 | 0.6638 | - | - | - |
| 1.9228 | 7520 | 0.4755 | - | - | - |
| 1.9253 | 7530 | 0.4941 | - | - | - |
| 1.9279 | 7540 | 0.4356 | - | - | - |
| 1.9305 | 7550 | 0.517 | - | - | - |
| 1.9330 | 7560 | 0.3946 | - | - | - |
| 1.9356 | 7570 | 0.5079 | - | - | - |
| 1.9381 | 7580 | 0.4621 | - | - | - |
| 1.9407 | 7590 | 0.4411 | - | - | - |
| 1.9432 | 7600 | 0.4606 | - | - | - |
| 1.9458 | 7610 | 0.4993 | - | - | - |
| 1.9484 | 7620 | 0.4515 | - | - | - |
| 1.9509 | 7630 | 0.5787 | - | - | - |
| 1.9535 | 7640 | 0.5409 | - | - | - |
| 1.9560 | 7650 | 0.5766 | - | - | - |
| 1.9586 | 7660 | 0.5337 | - | - | - |
| 1.9611 | 7670 | 0.4367 | - | - | - |
| 1.9637 | 7680 | 0.4695 | - | - | - |
| 1.9662 | 7690 | 0.4955 | - | - | - |
| 1.9688 | 7700 | 0.4655 | - | - | - |
| 1.9714 | 7710 | 0.6728 | - | - | - |
| 1.9739 | 7720 | 0.7257 | - | - | - |
| 1.9765 | 7730 | 0.6987 | - | - | - |
| 1.9790 | 7740 | 0.3387 | - | - | - |
| 1.9816 | 7750 | 0.6056 | - | - | - |
| 1.9841 | 7760 | 0.4411 | - | - | - |
| 1.9867 | 7770 | 0.4848 | - | - | - |
| 1.9893 | 7780 | 0.4467 | - | - | - |
| 1.9918 | 7790 | 0.5241 | - | - | - |
| 1.9944 | 7800 | 0.5792 | - | - | - |
| 1.9969 | 7810 | 0.5933 | - | - | - |
| 1.9995 | 7820 | 0.4172 | - | - | - |
| 2.0020 | 7830 | 0.4658 | - | - | - |
| 2.0046 | 7840 | 0.4805 | - | - | - |
| 2.0072 | 7850 | 0.3559 | - | - | - |
| 2.0097 | 7860 | 0.4412 | - | - | - |
| 2.0123 | 7870 | 0.4594 | - | - | - |
| 2.0148 | 7880 | 0.42 | - | - | - |
| 2.0174 | 7890 | 0.4097 | - | - | - |
| 2.0199 | 7900 | 0.349 | - | - | - |
| 2.0225 | 7910 | 0.3457 | - | - | - |
| 2.0251 | 7920 | 0.3435 | - | - | - |
| 2.0276 | 7930 | 0.3162 | - | - | - |
| 2.0302 | 7940 | 0.2859 | - | - | - |
| 2.0327 | 7950 | 0.3443 | - | - | - |
| 2.0353 | 7960 | 0.4115 | - | - | - |
| 2.0378 | 7970 | 0.3435 | - | - | - |
| 2.0404 | 7980 | 0.4581 | - | - | - |
| 2.0430 | 7990 | 0.3455 | - | - | - |
| 2.0455 | 8000 | 0.3615 | 0.5995 | 0.9967 | 0.3965 |
| 2.0481 | 8010 | 0.371 | - | - | - |
| 2.0506 | 8020 | 0.3077 | - | - | - |
| 2.0532 | 8030 | 0.4178 | - | - | - |
| 2.0557 | 8040 | 0.3805 | - | - | - |
| 2.0583 | 8050 | 0.3606 | - | - | - |
| 2.0609 | 8060 | 0.3909 | - | - | - |
| 2.0634 | 8070 | 0.3757 | - | - | - |
| 2.0660 | 8080 | 0.5127 | - | - | - |
| 2.0685 | 8090 | 0.405 | - | - | - |
| 2.0711 | 8100 | 0.521 | - | - | - |
| 2.0736 | 8110 | 0.4128 | - | - | - |
| 2.0762 | 8120 | 0.3774 | - | - | - |
| 2.0788 | 8130 | 0.482 | - | - | - |
| 2.0813 | 8140 | 0.4701 | - | - | - |
| 2.0839 | 8150 | 0.404 | - | - | - |
| 2.0864 | 8160 | 0.4262 | - | - | - |
| 2.0890 | 8170 | 0.523 | - | - | - |
| 2.0915 | 8180 | 0.5242 | - | - | - |
| 2.0941 | 8190 | 0.4973 | - | - | - |
| 2.0967 | 8200 | 0.4716 | - | - | - |
| 2.0992 | 8210 | 0.5007 | - | - | - |
| 2.1018 | 8220 | 0.5008 | - | - | - |
| 2.1043 | 8230 | 0.4949 | - | - | - |
| 2.1069 | 8240 | 0.445 | - | - | - |
| 2.1094 | 8250 | 0.4623 | - | - | - |
| 2.1120 | 8260 | 0.3374 | - | - | - |
| 2.1145 | 8270 | 0.3606 | - | - | - |
| 2.1171 | 8280 | 0.4374 | - | - | - |
| 2.1197 | 8290 | 0.4613 | - | - | - |
| 2.1222 | 8300 | 0.4755 | - | - | - |
| 2.1248 | 8310 | 0.4307 | - | - | - |
| 2.1273 | 8320 | 0.4603 | - | - | - |
| 2.1299 | 8330 | 0.5282 | - | - | - |
| 2.1324 | 8340 | 0.4861 | - | - | - |
| 2.1350 | 8350 | 0.5212 | - | - | - |
| 2.1376 | 8360 | 0.4177 | - | - | - |
| 2.1401 | 8370 | 0.3925 | - | - | - |
| 2.1427 | 8380 | 0.3921 | - | - | - |
| 2.1452 | 8390 | 0.4105 | - | - | - |
| 2.1478 | 8400 | 0.4798 | - | - | - |
| 2.1503 | 8410 | 0.5346 | - | - | - |
| 2.1529 | 8420 | 0.5542 | - | - | - |
| 2.1555 | 8430 | 0.4403 | - | - | - |
| 2.1580 | 8440 | 0.4076 | - | - | - |
| 2.1606 | 8450 | 0.681 | - | - | - |
| 2.1631 | 8460 | 0.6889 | - | - | - |
| 2.1657 | 8470 | 0.4838 | - | - | - |
| 2.1682 | 8480 | 0.6886 | - | - | - |
| 2.1708 | 8490 | 0.4808 | - | - | - |
| 2.1734 | 8500 | 0.5123 | - | - | - |
| 2.1759 | 8510 | 0.5152 | - | - | - |
| 2.1785 | 8520 | 0.7062 | - | - | - |
| 2.1810 | 8530 | 0.7101 | - | - | - |
| 2.1836 | 8540 | 0.3942 | - | - | - |
| 2.1861 | 8550 | 0.318 | - | - | - |
| 2.1887 | 8560 | 0.3881 | - | - | - |
| 2.1913 | 8570 | 0.4325 | - | - | - |
| 2.1938 | 8580 | 0.4413 | - | - | - |
| 2.1964 | 8590 | 0.3022 | - | - | - |
| 2.1989 | 8600 | 0.3592 | - | - | - |
| 2.2015 | 8610 | 0.5815 | - | - | - |
| 2.2040 | 8620 | 0.4044 | - | - | - |
| 2.2066 | 8630 | 0.413 | - | - | - |
| 2.2092 | 8640 | 0.4562 | - | - | - |
| 2.2117 | 8650 | 0.568 | - | - | - |
| 2.2143 | 8660 | 0.3666 | - | - | - |
| 2.2168 | 8670 | 0.4769 | - | - | - |
| 2.2194 | 8680 | 0.5072 | - | - | - |
| 2.2219 | 8690 | 0.3284 | - | - | - |
| 2.2245 | 8700 | 0.3666 | - | - | - |
| 2.2271 | 8710 | 0.3458 | - | - | - |
| 2.2296 | 8720 | 0.5223 | - | - | - |
| 2.2322 | 8730 | 0.5417 | - | - | - |
| 2.2347 | 8740 | 0.5569 | - | - | - |
| 2.2373 | 8750 | 0.3708 | - | - | - |
| 2.2398 | 8760 | 0.5413 | - | - | - |
| 2.2424 | 8770 | 0.4693 | - | - | - |
| 2.2450 | 8780 | 0.511 | - | - | - |
| 2.2475 | 8790 | 0.5534 | - | - | - |
| 2.2501 | 8800 | 0.5845 | - | - | - |
| 2.2526 | 8810 | 0.4561 | - | - | - |
| 2.2552 | 8820 | 0.4203 | - | - | - |
| 2.2577 | 8830 | 0.4074 | - | - | - |
| 2.2603 | 8840 | 0.3462 | - | - | - |
| 2.2628 | 8850 | 0.3109 | - | - | - |
| 2.2654 | 8860 | 0.3785 | - | - | - |
| 2.2680 | 8870 | 0.4591 | - | - | - |
| 2.2705 | 8880 | 0.4477 | - | - | - |
| 2.2731 | 8890 | 0.3638 | - | - | - |
| 2.2756 | 8900 | 0.5596 | - | - | - |
| 2.2782 | 8910 | 0.5428 | - | - | - |
| 2.2807 | 8920 | 0.504 | - | - | - |
| 2.2833 | 8930 | 0.3959 | - | - | - |
| 2.2859 | 8940 | 0.5195 | - | - | - |
| 2.2884 | 8950 | 0.378 | - | - | - |
| 2.2910 | 8960 | 0.3662 | - | - | - |
| 2.2935 | 8970 | 0.3245 | - | - | - |
| 2.2961 | 8980 | 0.344 | - | - | - |
| 2.2986 | 8990 | 0.5692 | - | - | - |
| 2.3012 | 9000 | 0.3626 | 0.5766 | 1.0086 | 0.3859 |
| 2.3038 | 9010 | 0.415 | - | - | - |
| 2.3063 | 9020 | 0.3807 | - | - | - |
| 2.3089 | 9030 | 0.3681 | - | - | - |
| 2.3114 | 9040 | 0.3982 | - | - | - |
| 2.3140 | 9050 | 0.2995 | - | - | - |
| 2.3165 | 9060 | 0.4793 | - | - | - |
| 2.3191 | 9070 | 0.4809 | - | - | - |
| 2.3217 | 9080 | 0.3722 | - | - | - |
| 2.3242 | 9090 | 0.414 | - | - | - |
| 2.3268 | 9100 | 0.285 | - | - | - |
| 2.3293 | 9110 | 0.4171 | - | - | - |
| 2.3319 | 9120 | 0.4916 | - | - | - |
| 2.3344 | 9130 | 0.3866 | - | - | - |
| 2.3370 | 9140 | 0.3745 | - | - | - |
| 2.3396 | 9150 | 0.3166 | - | - | - |
| 2.3421 | 9160 | 0.3759 | - | - | - |
| 2.3447 | 9170 | 0.4616 | - | - | - |
| 2.3472 | 9180 | 0.3187 | - | - | - |
| 2.3498 | 9190 | 0.3177 | - | - | - |
| 2.3523 | 9200 | 0.3989 | - | - | - |
| 2.3549 | 9210 | 0.4651 | - | - | - |
| 2.3575 | 9220 | 0.4467 | - | - | - |
| 2.3600 | 9230 | 0.5328 | - | - | - |
| 2.3626 | 9240 | 0.4087 | - | - | - |
| 2.3651 | 9250 | 0.3977 | - | - | - |
| 2.3677 | 9260 | 0.461 | - | - | - |
| 2.3702 | 9270 | 0.3607 | - | - | - |
| 2.3728 | 9280 | 0.3894 | - | - | - |
| 2.3754 | 9290 | 0.4252 | - | - | - |
| 2.3779 | 9300 | 0.3879 | - | - | - |
| 2.3805 | 9310 | 0.4413 | - | - | - |
| 2.3830 | 9320 | 0.4101 | - | - | - |
| 2.3856 | 9330 | 0.4103 | - | - | - |
| 2.3881 | 9340 | 0.4215 | - | - | - |
| 2.3907 | 9350 | 0.4526 | - | - | - |
| 2.3932 | 9360 | 0.4038 | - | - | - |
| 2.3958 | 9370 | 0.3704 | - | - | - |
| 2.3984 | 9380 | 0.3339 | - | - | - |
| 2.4009 | 9390 | 0.3188 | - | - | - |
| 2.4035 | 9400 | 0.3621 | - | - | - |
| 2.4060 | 9410 | 0.3884 | - | - | - |
| 2.4086 | 9420 | 0.4302 | - | - | - |
| 2.4111 | 9430 | 0.3692 | - | - | - |
| 2.4137 | 9440 | 0.4398 | - | - | - |
| 2.4163 | 9450 | 0.5208 | - | - | - |
| 2.4188 | 9460 | 0.4851 | - | - | - |
| 2.4214 | 9470 | 0.5485 | - | - | - |
| 2.4239 | 9480 | 0.3561 | - | - | - |
| 2.4265 | 9490 | 0.3313 | - | - | - |
| 2.4290 | 9500 | 0.3709 | - | - | - |
| 2.4316 | 9510 | 0.5086 | - | - | - |
| 2.4342 | 9520 | 0.6388 | - | - | - |
| 2.4367 | 9530 | 0.5319 | - | - | - |
| 2.4393 | 9540 | 0.5017 | - | - | - |
| 2.4418 | 9550 | 0.5122 | - | - | - |
| 2.4444 | 9560 | 0.4663 | - | - | - |
| 2.4469 | 9570 | 0.5166 | - | - | - |
| 2.4495 | 9580 | 0.5754 | - | - | - |
| 2.4521 | 9590 | 0.4125 | - | - | - |
| 2.4546 | 9600 | 0.5505 | - | - | - |
| 2.4572 | 9610 | 0.608 | - | - | - |
| 2.4597 | 9620 | 0.2824 | - | - | - |
| 2.4623 | 9630 | 0.3705 | - | - | - |
| 2.4648 | 9640 | 0.4262 | - | - | - |
| 2.4674 | 9650 | 0.5177 | - | - | - |
| 2.4700 | 9660 | 0.7475 | - | - | - |
| 2.4725 | 9670 | 0.3571 | - | - | - |
| 2.4751 | 9680 | 0.3018 | - | - | - |
| 2.4776 | 9690 | 0.3029 | - | - | - |
| 2.4802 | 9700 | 0.5481 | - | - | - |
| 2.4827 | 9710 | 0.3215 | - | - | - |
| 2.4853 | 9720 | 0.4501 | - | - | - |
| 2.4879 | 9730 | 0.368 | - | - | - |
| 2.4904 | 9740 | 0.3965 | - | - | - |
| 2.4930 | 9750 | 0.3616 | - | - | - |
| 2.4955 | 9760 | 0.3481 | - | - | - |
| 2.4981 | 9770 | 0.3987 | - | - | - |
| 2.5006 | 9780 | 0.4095 | - | - | - |
| 2.5032 | 9790 | 0.3823 | - | - | - |
| 2.5058 | 9800 | 0.32 | - | - | - |
| 2.5083 | 9810 | 0.3646 | - | - | - |
| 2.5109 | 9820 | 0.4748 | - | - | - |
| 2.5134 | 9830 | 0.448 | - | - | - |
| 2.5160 | 9840 | 0.4181 | - | - | - |
| 2.5185 | 9850 | 0.6087 | - | - | - |
| 2.5211 | 9860 | 0.4105 | - | - | - |
| 2.5237 | 9870 | 0.3461 | - | - | - |
| 2.5262 | 9880 | 0.3705 | - | - | - |
| 2.5288 | 9890 | 0.3495 | - | - | - |
| 2.5313 | 9900 | 0.3762 | - | - | - |
| 2.5339 | 9910 | 0.4793 | - | - | - |
| 2.5364 | 9920 | 0.321 | - | - | - |
| 2.5390 | 9930 | 0.4528 | - | - | - |
| 2.5415 | 9940 | 0.3923 | - | - | - |
| 2.5441 | 9950 | 0.4133 | - | - | - |
| 2.5467 | 9960 | 0.3466 | - | - | - |
| 2.5492 | 9970 | 0.3543 | - | - | - |
| 2.5518 | 9980 | 0.3105 | - | - | - |
| 2.5543 | 9990 | 0.4383 | - | - | - |
| 2.5569 | 10000 | 0.3853 | 0.5576 | 0.9768 | 0.3844 |
| 2.5594 | 10010 | 0.3365 | - | - | - |
| 2.5620 | 10020 | 0.4235 | - | - | - |
| 2.5646 | 10030 | 0.3991 | - | - | - |
| 2.5671 | 10040 | 0.368 | - | - | - |
| 2.5697 | 10050 | 0.3741 | - | - | - |
| 2.5722 | 10060 | 0.3664 | - | - | - |
| 2.5748 | 10070 | 0.3373 | - | - | - |
| 2.5773 | 10080 | 0.4494 | - | - | - |
| 2.5799 | 10090 | 0.3406 | - | - | - |
| 2.5825 | 10100 | 0.3924 | - | - | - |
| 2.5850 | 10110 | 0.4106 | - | - | - |
| 2.5876 | 10120 | 0.4308 | - | - | - |
| 2.5901 | 10130 | 0.4663 | - | - | - |
| 2.5927 | 10140 | 0.397 | - | - | - |
| 2.5952 | 10150 | 0.4721 | - | - | - |
| 2.5978 | 10160 | 0.3843 | - | - | - |
| 2.6004 | 10170 | 0.4077 | - | - | - |
| 2.6029 | 10180 | 0.4349 | - | - | - |
| 2.6055 | 10190 | 0.403 | - | - | - |
| 2.6080 | 10200 | 0.3812 | - | - | - |
| 2.6106 | 10210 | 0.4672 | - | - | - |
| 2.6131 | 10220 | 0.4537 | - | - | - |
| 2.6157 | 10230 | 0.3054 | - | - | - |
| 2.6183 | 10240 | 0.4981 | - | - | - |
| 2.6208 | 10250 | 0.2706 | - | - | - |
| 2.6234 | 10260 | 0.4327 | - | - | - |
| 2.6259 | 10270 | 0.3054 | - | - | - |
| 2.6285 | 10280 | 0.3542 | - | - | - |
| 2.6310 | 10290 | 0.3326 | - | - | - |
| 2.6336 | 10300 | 0.3583 | - | - | - |
| 2.6362 | 10310 | 0.3705 | - | - | - |
| 2.6387 | 10320 | 0.3033 | - | - | - |
| 2.6413 | 10330 | 0.316 | - | - | - |
| 2.6438 | 10340 | 0.3221 | - | - | - |
| 2.6464 | 10350 | 0.463 | - | - | - |
| 2.6489 | 10360 | 0.423 | - | - | - |
| 2.6515 | 10370 | 0.4502 | - | - | - |
| 2.6541 | 10380 | 0.3719 | - | - | - |
| 2.6566 | 10390 | 0.2892 | - | - | - |
| 2.6592 | 10400 | 0.3709 | - | - | - |
| 2.6617 | 10410 | 0.3599 | - | - | - |
| 2.6643 | 10420 | 0.4832 | - | - | - |
| 2.6668 | 10430 | 0.3146 | - | - | - |
| 2.6694 | 10440 | 0.2736 | - | - | - |
| 2.6720 | 10450 | 0.3365 | - | - | - |
| 2.6745 | 10460 | 0.3415 | - | - | - |
| 2.6771 | 10470 | 0.3137 | - | - | - |
| 2.6796 | 10480 | 0.3426 | - | - | - |
| 2.6822 | 10490 | 0.4208 | - | - | - |
| 2.6847 | 10500 | 0.2482 | - | - | - |
| 2.6873 | 10510 | 0.3525 | - | - | - |
| 2.6898 | 10520 | 0.3096 | - | - | - |
| 2.6924 | 10530 | 0.4376 | - | - | - |
| 2.6950 | 10540 | 0.3658 | - | - | - |
| 2.6975 | 10550 | 0.3332 | - | - | - |
| 2.7001 | 10560 | 0.3587 | - | - | - |
| 2.7026 | 10570 | 0.3608 | - | - | - |
| 2.7052 | 10580 | 0.3369 | - | - | - |
| 2.7077 | 10590 | 0.352 | - | - | - |
| 2.7103 | 10600 | 0.3093 | - | - | - |
| 2.7129 | 10610 | 0.3219 | - | - | - |
| 2.7154 | 10620 | 0.4263 | - | - | - |
| 2.7180 | 10630 | 0.3825 | - | - | - |
| 2.7205 | 10640 | 0.3072 | - | - | - |
| 2.7231 | 10650 | 0.3383 | - | - | - |
| 2.7256 | 10660 | 0.3173 | - | - | - |
| 2.7282 | 10670 | 0.2722 | - | - | - |
| 2.7308 | 10680 | 0.3333 | - | - | - |
| 2.7333 | 10690 | 0.319 | - | - | - |
| 2.7359 | 10700 | 0.2862 | - | - | - |
| 2.7384 | 10710 | 0.2929 | - | - | - |
| 2.7410 | 10720 | 0.3193 | - | - | - |
| 2.7435 | 10730 | 0.3658 | - | - | - |
| 2.7461 | 10740 | 0.3537 | - | - | - |
| 2.7487 | 10750 | 0.3628 | - | - | - |
| 2.7512 | 10760 | 0.3907 | - | - | - |
| 2.7538 | 10770 | 0.2873 | - | - | - |
| 2.7563 | 10780 | 0.3095 | - | - | - |
| 2.7589 | 10790 | 0.3332 | - | - | - |
| 2.7614 | 10800 | 0.3009 | - | - | - |
| 2.7640 | 10810 | 0.4039 | - | - | - |
| 2.7666 | 10820 | 0.2979 | - | - | - |
| 2.7691 | 10830 | 0.356 | - | - | - |
| 2.7717 | 10840 | 0.4112 | - | - | - |
| 2.7742 | 10850 | 0.3208 | - | - | - |
| 2.7768 | 10860 | 0.3217 | - | - | - |
| 2.7793 | 10870 | 0.3529 | - | - | - |
| 2.7819 | 10880 | 0.3316 | - | - | - |
| 2.7845 | 10890 | 0.297 | - | - | - |
| 2.7870 | 10900 | 0.2915 | - | - | - |
| 2.7896 | 10910 | 0.3027 | - | - | - |
| 2.7921 | 10920 | 0.3648 | - | - | - |
| 2.7947 | 10930 | 0.2733 | - | - | - |
| 2.7972 | 10940 | 0.3859 | - | - | - |
| 2.7998 | 10950 | 0.3752 | - | - | - |
| 2.8024 | 10960 | 0.4194 | - | - | - |
| 2.8049 | 10970 | 0.3408 | - | - | - |
| 2.8075 | 10980 | 0.3383 | - | - | - |
| 2.8100 | 10990 | 0.2718 | - | - | - |
| 2.8126 | 11000 | 0.4014 | 0.5844 | 1.0047 | 0.3911 |
| 2.8151 | 11010 | 0.2805 | - | - | - |
| 2.8177 | 11020 | 0.391 | - | - | - |
| 2.8203 | 11030 | 0.4106 | - | - | - |
| 2.8228 | 11040 | 0.3353 | - | - | - |
| 2.8254 | 11050 | 0.3658 | - | - | - |
| 2.8279 | 11060 | 0.2835 | - | - | - |
| 2.8305 | 11070 | 0.2463 | - | - | - |
| 2.8330 | 11080 | 0.3884 | - | - | - |
| 2.8356 | 11090 | 0.3813 | - | - | - |
| 2.8381 | 11100 | 0.29 | - | - | - |
| 2.8407 | 11110 | 0.445 | - | - | - |
| 2.8433 | 11120 | 0.4506 | - | - | - |
| 2.8458 | 11130 | 0.3571 | - | - | - |
| 2.8484 | 11140 | 0.413 | - | - | - |
| 2.8509 | 11150 | 0.3169 | - | - | - |
| 2.8535 | 11160 | 0.3587 | - | - | - |
| 2.8560 | 11170 | 0.4717 | - | - | - |
| 2.8586 | 11180 | 0.3758 | - | - | - |
| 2.8612 | 11190 | 0.384 | - | - | - |
| 2.8637 | 11200 | 0.2987 | - | - | - |
| 2.8663 | 11210 | 0.4913 | - | - | - |
| 2.8688 | 11220 | 0.474 | - | - | - |
| 2.8714 | 11230 | 0.4519 | - | - | - |
| 2.8739 | 11240 | 0.3698 | - | - | - |
| 2.8765 | 11250 | 0.389 | - | - | - |
| 2.8791 | 11260 | 0.3621 | - | - | - |
| 2.8816 | 11270 | 0.5046 | - | - | - |
| 2.8842 | 11280 | 0.3724 | - | - | - |
| 2.8867 | 11290 | 0.4003 | - | - | - |
| 2.8893 | 11300 | 0.3711 | - | - | - |
| 2.8918 | 11310 | 0.4393 | - | - | - |
| 2.8944 | 11320 | 0.6715 | - | - | - |
| 2.8970 | 11330 | 0.3232 | - | - | - |
| 2.8995 | 11340 | 0.3302 | - | - | - |
| 2.9021 | 11350 | 0.3334 | - | - | - |
| 2.9046 | 11360 | 0.4568 | - | - | - |
| 2.9072 | 11370 | 0.3423 | - | - | - |
| 2.9097 | 11380 | 0.3241 | - | - | - |
| 2.9123 | 11390 | 0.3032 | - | - | - |
| 2.9149 | 11400 | 0.3338 | - | - | - |
| 2.9174 | 11410 | 0.3642 | - | - | - |
| 2.9200 | 11420 | 0.5081 | - | - | - |
| 2.9225 | 11430 | 0.4581 | - | - | - |
| 2.9251 | 11440 | 0.4019 | - | - | - |
| 2.9276 | 11450 | 0.4075 | - | - | - |
| 2.9302 | 11460 | 0.4445 | - | - | - |
| 2.9328 | 11470 | 0.3452 | - | - | - |
| 2.9353 | 11480 | 0.4069 | - | - | - |
| 2.9379 | 11490 | 0.419 | - | - | - |
| 2.9404 | 11500 | 0.37 | - | - | - |
| 2.9430 | 11510 | 0.4321 | - | - | - |
| 2.9455 | 11520 | 0.3993 | - | - | - |
| 2.9481 | 11530 | 0.4222 | - | - | - |
| 2.9507 | 11540 | 0.4761 | - | - | - |
| 2.9532 | 11550 | 0.4414 | - | - | - |
| 2.9558 | 11560 | 0.5994 | - | - | - |
| 2.9583 | 11570 | 0.4572 | - | - | - |
| 2.9609 | 11580 | 0.3808 | - | - | - |
| 2.9634 | 11590 | 0.4309 | - | - | - |
| 2.9660 | 11600 | 0.4366 | - | - | - |
| 2.9686 | 11610 | 0.4015 | - | - | - |
| 2.9711 | 11620 | 0.5918 | - | - | - |
| 2.9737 | 11630 | 0.6513 | - | - | - |
| 2.9762 | 11640 | 0.6191 | - | - | - |
| 2.9788 | 11650 | 0.3044 | - | - | - |
| 2.9813 | 11660 | 0.4612 | - | - | - |
| 2.9839 | 11670 | 0.4446 | - | - | - |
| 2.9864 | 11680 | 0.4184 | - | - | - |
| 2.9890 | 11690 | 0.383 | - | - | - |
| 2.9916 | 11700 | 0.4387 | - | - | - |
| 2.9941 | 11710 | 0.529 | - | - | - |
| 2.9967 | 11720 | 0.5059 | - | - | - |
| 2.9992 | 11730 | 0.4155 | - | - | - |
</details>
### Framework Versions
- Python: 3.8.10
- Sentence Transformers: 3.1.1
- Transformers: 4.45.2
- PyTorch: 2.4.1+cu121
- Accelerate: 1.0.1
- Datasets: 3.1.0
- Tokenizers: 0.20.3
## Citation
### BibTeX
#### Sentence Transformers and SoftmaxLoss
```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",
}
```
#### MultipleNegativesRankingLoss
```bibtex
@misc{henderson2017efficient,
title={Efficient Natural Language Response Suggestion for Smart Reply},
author={Matthew Henderson and Rami Al-Rfou and Brian Strope and Yun-hsuan Sung and Laszlo Lukacs and Ruiqi Guo and Sanjiv Kumar and Balint Miklos and Ray Kurzweil},
year={2017},
eprint={1705.00652},
archivePrefix={arXiv},
primaryClass={cs.CL}
}
```
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