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---
language:
- hu
license: apache-2.0
tags:
- sentence-transformers
- sentence-similarity
- feature-extraction
- generated_from_trainer
- dataset_size:1044013
- loss:MultipleNegativesRankingLoss
base_model: tasksource/ModernBERT-base-nli
widget:
- source_sentence: Emberek várnak a lámpánál kerékpárral.
sentences:
- Az emberek piros lámpánál haladnak.
- Az emberek a kerékpárjukon vannak.
- Egy fekete kutya úszik a vízben egy teniszlabdával a szájában
- source_sentence: A kutya a vízben van.
sentences:
- Két férfi takarítja a havat a tetőről, az egyik egy emelőben ül, a másik pedig
a tetőn.
- A macska a vízben van, és dühös.
- Egy kutya van a vízben, a szájában egy faág.
- source_sentence: A nő feketét visel.
sentences:
- Egy barna kutya fröcsköl, ahogy úszik a vízben.
- Egy tetoválással rendelkező nő, aki fekete tank tetején néz a földre.
- 'Egy kékbe öltözött nő intenzív arckifejezéssel üti a teniszlabdát. A képen:'
- source_sentence: Az emberek alszanak.
sentences:
- Három ember beszélget egy városi utcán.
- A nő fehéret visel.
- Egy apa és a fia ölelgeti alvás közben.
- source_sentence: Az emberek alszanak.
sentences:
- Egy feketébe öltözött nő cigarettát és bevásárlótáskát tart a kezében, miközben
egy idősebb nő átmegy az utcán.
- Egy csoport ember ül egy nyitott, térszerű területen, mögötte nagy bokrok és egy
sor viktoriánus stílusú épület, melyek közül sokat a kép jobb oldalán lévő erős
elmosódás tesz kivehetetlenné.
- Egy apa és a fia ölelgeti alvás közben.
pipeline_tag: sentence-similarity
library_name: sentence-transformers
metrics:
- cosine_accuracy
model-index:
- name: ModernBERT-base
results:
- task:
type: triplet
name: Triplet
dataset:
name: all nli dev
type: all-nli-dev
metrics:
- type: cosine_accuracy
value: 0.7102
name: Cosine Accuracy
- task:
type: triplet
name: Triplet
dataset:
name: all nli test
type: all-nli-test
metrics:
- type: cosine_accuracy
value: 0.67
name: Cosine Accuracy
---
# ModernBERT-base
This is a [sentence-transformers](https://www.SBERT.net) model finetuned from [tasksource/ModernBERT-base-nli](https://huggingface.co/tasksource/ModernBERT-base-nli) on the train dataset. It maps sentences & paragraphs to a 768-dimensional dense vector space and can be used for semantic textual similarity, semantic search, paraphrase mining, text classification, clustering, and more.
## Model Details
### Model Description
- **Model Type:** Sentence Transformer
- **Base model:** [tasksource/ModernBERT-base-nli](https://huggingface.co/tasksource/ModernBERT-base-nli) <!-- at revision f5b65ccbcfef153adda8fcb29a7f1a7a5a511212 -->
- **Maximum Sequence Length:** 2048 tokens
- **Output Dimensionality:** 768 dimensions
- **Similarity Function:** Cosine Similarity
- **Training Dataset:**
- train
- **Language:** hu
- **License:** apache-2.0
### 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': 2048, 'do_lower_case': False}) with Transformer model: ModernBertModel
(1): Pooling({'word_embedding_dimension': 768, 'pooling_mode_cls_token': False, 'pooling_mode_mean_tokens': True, 'pooling_mode_max_tokens': False, 'pooling_mode_mean_sqrt_len_tokens': False, 'pooling_mode_weightedmean_tokens': False, 'pooling_mode_lasttoken': False, 'include_prompt': True})
)
```
## 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("karsar/ModernBERT-base-hu")
# Run inference
sentences = [
'Az emberek alszanak.',
'Egy apa és a fia ölelgeti alvás közben.',
'Egy csoport ember ül egy nyitott, térszerű területen, mögötte nagy bokrok és egy sor viktoriánus stílusú épület, melyek közül sokat a kép jobb oldalán lévő erős elmosódás tesz kivehetetlenné.',
]
embeddings = model.encode(sentences)
print(embeddings.shape)
# [3, 768]
# Get the similarity scores for the embeddings
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [3, 3]
```
<!--
### Direct Usage (Transformers)
<details><summary>Click to see the direct usage in Transformers</summary>
</details>
-->
<!--
### Downstream Usage (Sentence Transformers)
You can finetune this model on your own dataset.
<details><summary>Click to expand</summary>
</details>
-->
<!--
### Out-of-Scope Use
*List how the model may foreseeably be misused and address what users ought not to do with the model.*
-->
## Evaluation
### Metrics
#### Triplet
* Datasets: `all-nli-dev` and `all-nli-test`
* Evaluated with [<code>TripletEvaluator</code>](https://sbert.net/docs/package_reference/sentence_transformer/evaluation.html#sentence_transformers.evaluation.TripletEvaluator)
| Metric | all-nli-dev | all-nli-test |
|:--------------------|:------------|:-------------|
| **cosine_accuracy** | **0.7102** | **0.67** |
<!--
## 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
#### train
* Dataset: train
* Size: 1,044,013 training samples
* Columns: <code>anchor</code>, <code>positive</code>, and <code>negative</code>
* Approximate statistics based on the first 1000 samples:
| | anchor | positive | negative |
|:--------|:-----------------------------------------------------------------------------------|:----------------------------------------------------------------------------------|:----------------------------------------------------------------------------------|
| type | string | string | string |
| details | <ul><li>min: 10 tokens</li><li>mean: 17.57 tokens</li><li>max: 95 tokens</li></ul> | <ul><li>min: 8 tokens</li><li>mean: 23.15 tokens</li><li>max: 82 tokens</li></ul> | <ul><li>min: 9 tokens</li><li>mean: 24.71 tokens</li><li>max: 92 tokens</li></ul> |
* Samples:
| anchor | positive | negative |
|:---------------------------------------------------------------------------|:----------------------------------------------|:---------------------------------------------------------------|
| <code>Egy lóháton ülő ember átugrik egy lerombolt repülőgép felett.</code> | <code>Egy ember a szabadban, lóháton.</code> | <code>Egy ember egy étteremben van, és omlettet rendel.</code> |
| <code>Gyerekek mosolyogva és integetett a kamera</code> | <code>Gyermekek vannak jelen</code> | <code>A gyerekek homlokot rántanak</code> |
| <code>Egy fiú ugrál a gördeszkát a közepén egy piros híd.</code> | <code>A fiú gördeszkás trükköt csinál.</code> | <code>A fiú korcsolyázik a járdán.</code> |
* Loss: [<code>MultipleNegativesRankingLoss</code>](https://sbert.net/docs/package_reference/sentence_transformer/losses.html#multiplenegativesrankingloss) with these parameters:
```json
{
"scale": 20.0,
"similarity_fct": "cos_sim"
}
```
### Evaluation Dataset
#### train
* Dataset: train
* Size: 5,000 evaluation samples
* Columns: <code>anchor</code>, <code>positive</code>, and <code>negative</code>
* Approximate statistics based on the first 1000 samples:
| | anchor | positive | negative |
|:--------|:-----------------------------------------------------------------------------------|:----------------------------------------------------------------------------------|:----------------------------------------------------------------------------------|
| type | string | string | string |
| details | <ul><li>min: 10 tokens</li><li>mean: 17.57 tokens</li><li>max: 95 tokens</li></ul> | <ul><li>min: 8 tokens</li><li>mean: 23.15 tokens</li><li>max: 82 tokens</li></ul> | <ul><li>min: 9 tokens</li><li>mean: 24.71 tokens</li><li>max: 92 tokens</li></ul> |
* Samples:
| anchor | positive | negative |
|:---------------------------------------------------------------------------|:----------------------------------------------|:---------------------------------------------------------------|
| <code>Egy lóháton ülő ember átugrik egy lerombolt repülőgép felett.</code> | <code>Egy ember a szabadban, lóháton.</code> | <code>Egy ember egy étteremben van, és omlettet rendel.</code> |
| <code>Gyerekek mosolyogva és integetett a kamera</code> | <code>Gyermekek vannak jelen</code> | <code>A gyerekek homlokot rántanak</code> |
| <code>Egy fiú ugrál a gördeszkát a közepén egy piros híd.</code> | <code>A fiú gördeszkás trükköt csinál.</code> | <code>A fiú korcsolyázik a járdán.</code> |
* Loss: [<code>MultipleNegativesRankingLoss</code>](https://sbert.net/docs/package_reference/sentence_transformer/losses.html#multiplenegativesrankingloss) with these parameters:
```json
{
"scale": 20.0,
"similarity_fct": "cos_sim"
}
```
### Training Hyperparameters
#### Non-Default Hyperparameters
- `eval_strategy`: steps
- `num_train_epochs`: 1
- `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`: 8
- `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`: 5e-05
- `weight_decay`: 0.0
- `adam_beta1`: 0.9
- `adam_beta2`: 0.999
- `adam_epsilon`: 1e-08
- `max_grad_norm`: 1.0
- `num_train_epochs`: 1
- `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`: None
- `hub_always_push`: False
- `gradient_checkpointing`: False
- `gradient_checkpointing_kwargs`: None
- `include_inputs_for_metrics`: False
- `include_for_metrics`: []
- `eval_do_concat_batches`: True
- `fp16_backend`: auto
- `push_to_hub_model_id`: None
- `push_to_hub_organization`: None
- `mp_parameters`:
- `auto_find_batch_size`: False
- `full_determinism`: False
- `torchdynamo`: None
- `ray_scope`: last
- `ddp_timeout`: 1800
- `torch_compile`: False
- `torch_compile_backend`: None
- `torch_compile_mode`: None
- `dispatch_batches`: None
- `split_batches`: None
- `include_tokens_per_second`: False
- `include_num_input_tokens_seen`: False
- `neftune_noise_alpha`: None
- `optim_target_modules`: None
- `batch_eval_metrics`: False
- `eval_on_start`: False
- `use_liger_kernel`: False
- `eval_use_gather_object`: False
- `average_tokens_across_devices`: False
- `prompts`: None
- `batch_sampler`: no_duplicates
- `multi_dataset_batch_sampler`: proportional
</details>
### Training Logs
<details><summary>Click to expand</summary>
| Epoch | Step | Training Loss | train loss | all-nli-dev_cosine_accuracy | all-nli-test_cosine_accuracy |
|:------:|:------:|:-------------:|:----------:|:---------------------------:|:----------------------------:|
| 0 | 0 | - | - | 0.5306 | - |
| 0.0008 | 100 | 2.818 | - | - | - |
| 0.0015 | 200 | 2.5967 | - | - | - |
| 0.0023 | 300 | 2.5905 | - | - | - |
| 0.0031 | 400 | 2.4971 | - | - | - |
| 0.0038 | 500 | 2.5099 | - | - | - |
| 0.0046 | 600 | 2.3072 | - | - | - |
| 0.0054 | 700 | 1.883 | - | - | - |
| 0.0061 | 800 | 1.3657 | - | - | - |
| 0.0069 | 900 | 1.5772 | - | - | - |
| 0.0077 | 1000 | 1.2804 | - | - | - |
| 0.0084 | 1100 | 1.3332 | - | - | - |
| 0.0092 | 1200 | 1.0596 | - | - | - |
| 0.0100 | 1300 | 0.7385 | - | - | - |
| 0.0107 | 1400 | 0.8946 | - | - | - |
| 0.0115 | 1500 | 0.7507 | - | - | - |
| 0.0123 | 1600 | 0.7161 | - | - | - |
| 0.0130 | 1700 | 0.7176 | - | - | - |
| 0.0138 | 1800 | 0.8173 | - | - | - |
| 0.0146 | 1900 | 0.7464 | - | - | - |
| 0.0153 | 2000 | 0.7542 | 0.9124 | 0.7244 | - |
| 0.0161 | 2100 | 0.6147 | - | - | - |
| 0.0169 | 2200 | 0.5755 | - | - | - |
| 0.0176 | 2300 | 1.0103 | - | - | - |
| 0.0184 | 2400 | 0.6152 | - | - | - |
| 0.0192 | 2500 | 0.4283 | - | - | - |
| 0.0199 | 2600 | 0.5124 | - | - | - |
| 0.0207 | 2700 | 0.7056 | - | - | - |
| 0.0215 | 2800 | 0.4688 | - | - | - |
| 0.0222 | 2900 | 0.5029 | - | - | - |
| 0.0230 | 3000 | 0.5196 | - | - | - |
| 0.0238 | 3100 | 0.488 | - | - | - |
| 0.0245 | 3200 | 0.3601 | - | - | - |
| 0.0253 | 3300 | 0.6175 | - | - | - |
| 0.0261 | 3400 | 0.7494 | - | - | - |
| 0.0268 | 3500 | 0.5092 | - | - | - |
| 0.0276 | 3600 | 0.557 | - | - | - |
| 0.0284 | 3700 | 0.9289 | - | - | - |
| 0.0291 | 3800 | 0.6672 | - | - | - |
| 0.0299 | 3900 | 0.6498 | - | - | - |
| 0.0307 | 4000 | 0.3891 | 1.6045 | 0.6146 | - |
| 0.0314 | 4100 | 0.3863 | - | - | - |
| 0.0322 | 4200 | 0.6232 | - | - | - |
| 0.0329 | 4300 | 0.7755 | - | - | - |
| 0.0337 | 4400 | 0.4809 | - | - | - |
| 0.0345 | 4500 | 0.2968 | - | - | - |
| 0.0352 | 4600 | 0.3402 | - | - | - |
| 0.0360 | 4700 | 0.4622 | - | - | - |
| 0.0368 | 4800 | 0.7333 | - | - | - |
| 0.0375 | 4900 | 0.5718 | - | - | - |
| 0.0383 | 5000 | 0.7179 | - | - | - |
| 0.0391 | 5100 | 0.5597 | - | - | - |
| 0.0398 | 5200 | 0.4884 | - | - | - |
| 0.0406 | 5300 | 0.3467 | - | - | - |
| 0.0414 | 5400 | 0.4234 | - | - | - |
| 0.0421 | 5500 | 0.4149 | - | - | - |
| 0.0429 | 5600 | 0.4568 | - | - | - |
| 0.0437 | 5700 | 0.5416 | - | - | - |
| 0.0444 | 5800 | 0.4317 | - | - | - |
| 0.0452 | 5900 | 0.5537 | - | - | - |
| 0.0460 | 6000 | 0.5437 | 1.2609 | 0.6716 | - |
| 0.0467 | 6100 | 0.526 | - | - | - |
| 0.0475 | 6200 | 0.5891 | - | - | - |
| 0.0483 | 6300 | 0.5615 | - | - | - |
| 0.0490 | 6400 | 0.6012 | - | - | - |
| 0.0498 | 6500 | 0.6295 | - | - | - |
| 0.0506 | 6600 | 0.7951 | - | - | - |
| 0.0513 | 6700 | 0.7898 | - | - | - |
| 0.0521 | 6800 | 0.523 | - | - | - |
| 0.0529 | 6900 | 0.5871 | - | - | - |
| 0.0536 | 7000 | 0.6337 | - | - | - |
| 0.0544 | 7100 | 0.7428 | - | - | - |
| 0.0552 | 7200 | 0.6299 | - | - | - |
| 0.0559 | 7300 | 0.389 | - | - | - |
| 0.0567 | 7400 | 0.384 | - | - | - |
| 0.0575 | 7500 | 0.7069 | - | - | - |
| 0.0582 | 7600 | 0.5387 | - | - | - |
| 0.0590 | 7700 | 0.4936 | - | - | - |
| 0.0598 | 7800 | 0.579 | - | - | - |
| 0.0605 | 7900 | 0.8806 | - | - | - |
| 0.0613 | 8000 | 0.7165 | 1.3063 | 0.6654 | - |
| 0.0621 | 8100 | 0.5884 | - | - | - |
| 0.0628 | 8200 | 0.7272 | - | - | - |
| 0.0636 | 8300 | 0.8061 | - | - | - |
| 0.0644 | 8400 | 0.6705 | - | - | - |
| 0.0651 | 8500 | 0.79 | - | - | - |
| 0.0659 | 8600 | 1.0937 | - | - | - |
| 0.0667 | 8700 | 0.7903 | - | - | - |
| 0.0674 | 8800 | 0.423 | - | - | - |
| 0.0682 | 8900 | 0.8756 | - | - | - |
| 0.0690 | 9000 | 0.7461 | - | - | - |
| 0.0697 | 9100 | 0.7282 | - | - | - |
| 0.0705 | 9200 | 0.7343 | - | - | - |
| 0.0713 | 9300 | 0.5109 | - | - | - |
| 0.0720 | 9400 | 0.5142 | - | - | - |
| 0.0728 | 9500 | 0.6688 | - | - | - |
| 0.0736 | 9600 | 0.8799 | - | - | - |
| 0.0743 | 9700 | 0.6665 | - | - | - |
| 0.0751 | 9800 | 0.6979 | - | - | - |
| 0.0759 | 9900 | 0.6971 | - | - | - |
| 0.0766 | 10000 | 0.8392 | 1.5133 | 0.703 | - |
| 0.0774 | 10100 | 0.6283 | - | - | - |
| 0.0782 | 10200 | 0.6315 | - | - | - |
| 0.0789 | 10300 | 0.4937 | - | - | - |
| 0.0797 | 10400 | 0.4819 | - | - | - |
| 0.0805 | 10500 | 0.5177 | - | - | - |
| 0.0812 | 10600 | 0.637 | - | - | - |
| 0.0820 | 10700 | 0.584 | - | - | - |
| 0.0828 | 10800 | 0.9142 | - | - | - |
| 0.0835 | 10900 | 0.6953 | - | - | - |
| 0.0843 | 11000 | 0.7623 | - | - | - |
| 0.0851 | 11100 | 0.6357 | - | - | - |
| 0.0858 | 11200 | 0.7508 | - | - | - |
| 0.0866 | 11300 | 0.5425 | - | - | - |
| 0.0874 | 11400 | 0.596 | - | - | - |
| 0.0881 | 11500 | 0.8407 | - | - | - |
| 0.0889 | 11600 | 0.7463 | - | - | - |
| 0.0897 | 11700 | 0.9188 | - | - | - |
| 0.0904 | 11800 | 0.6921 | - | - | - |
| 0.0912 | 11900 | 0.7707 | - | - | - |
| 0.0920 | 12000 | 0.7206 | 1.6151 | 0.6568 | - |
| 0.0927 | 12100 | 0.7925 | - | - | - |
| 0.0935 | 12200 | 0.8842 | - | - | - |
| 0.0943 | 12300 | 0.8328 | - | - | - |
| 0.0950 | 12400 | 0.5571 | - | - | - |
| 0.0958 | 12500 | 0.9304 | - | - | - |
| 0.0966 | 12600 | 0.4566 | - | - | - |
| 0.0973 | 12700 | 0.5217 | - | - | - |
| 0.0981 | 12800 | 0.4589 | - | - | - |
| 0.0988 | 12900 | 0.4216 | - | - | - |
| 0.0996 | 13000 | 0.7141 | - | - | - |
| 0.1004 | 13100 | 0.6205 | - | - | - |
| 0.1011 | 13200 | 0.4045 | - | - | - |
| 0.1019 | 13300 | 0.3494 | - | - | - |
| 0.1027 | 13400 | 0.4802 | - | - | - |
| 0.1034 | 13500 | 0.4482 | - | - | - |
| 0.1042 | 13600 | 0.5367 | - | - | - |
| 0.1050 | 13700 | 0.3565 | - | - | - |
| 0.1057 | 13800 | 0.3069 | - | - | - |
| 0.1065 | 13900 | 0.3576 | - | - | - |
| 0.1073 | 14000 | 0.4572 | 0.6264 | 0.8504 | - |
| 0.1080 | 14100 | 0.3922 | - | - | - |
| 0.1088 | 14200 | 0.289 | - | - | - |
| 0.1096 | 14300 | 0.5305 | - | - | - |
| 0.1103 | 14400 | 0.5243 | - | - | - |
| 0.1111 | 14500 | 0.5738 | - | - | - |
| 0.1119 | 14600 | 0.3457 | - | - | - |
| 0.1126 | 14700 | 0.3254 | - | - | - |
| 0.1134 | 14800 | 0.6328 | - | - | - |
| 0.1142 | 14900 | 0.4711 | - | - | - |
| 0.1149 | 15000 | 0.2532 | - | - | - |
| 0.1157 | 15100 | 0.4379 | - | - | - |
| 0.1165 | 15200 | 0.4992 | - | - | - |
| 0.1172 | 15300 | 0.3239 | - | - | - |
| 0.1180 | 15400 | 0.3294 | - | - | - |
| 0.1188 | 15500 | 0.332 | - | - | - |
| 0.1195 | 15600 | 0.3025 | - | - | - |
| 0.1203 | 15700 | 0.2406 | - | - | - |
| 0.1211 | 15800 | 0.4625 | - | - | - |
| 0.1218 | 15900 | 0.5237 | - | - | - |
| 0.1226 | 16000 | 0.3451 | 1.2647 | 0.8454 | - |
| 0.1234 | 16100 | 0.5763 | - | - | - |
| 0.1241 | 16200 | 0.8095 | - | - | - |
| 0.1249 | 16300 | 0.5725 | - | - | - |
| 0.1257 | 16400 | 0.5191 | - | - | - |
| 0.1264 | 16500 | 0.3933 | - | - | - |
| 0.1272 | 16600 | 0.3892 | - | - | - |
| 0.1280 | 16700 | 0.5239 | - | - | - |
| 0.1287 | 16800 | 0.6505 | - | - | - |
| 0.1295 | 16900 | 0.3977 | - | - | - |
| 0.1303 | 17000 | 0.2333 | - | - | - |
| 0.1310 | 17100 | 0.3542 | - | - | - |
| 0.1318 | 17200 | 0.3516 | - | - | - |
| 0.1326 | 17300 | 0.5825 | - | - | - |
| 0.1333 | 17400 | 0.4237 | - | - | - |
| 0.1341 | 17500 | 0.5338 | - | - | - |
| 0.1349 | 17600 | 0.3754 | - | - | - |
| 0.1356 | 17700 | 0.4027 | - | - | - |
| 0.1364 | 17800 | 0.3067 | - | - | - |
| 0.1372 | 17900 | 0.4103 | - | - | - |
| 0.1379 | 18000 | 0.3567 | 1.5228 | 0.7474 | - |
| 0.1387 | 18100 | 0.356 | - | - | - |
| 0.1395 | 18200 | 0.6599 | - | - | - |
| 0.1402 | 18300 | 0.4607 | - | - | - |
| 0.1410 | 18400 | 0.5707 | - | - | - |
| 0.1418 | 18500 | 0.506 | - | - | - |
| 0.1425 | 18600 | 0.553 | - | - | - |
| 0.1433 | 18700 | 0.4427 | - | - | - |
| 0.1441 | 18800 | 0.4758 | - | - | - |
| 0.1448 | 18900 | 0.4573 | - | - | - |
| 0.1456 | 19000 | 0.5183 | - | - | - |
| 0.1464 | 19100 | 0.7152 | - | - | - |
| 0.1471 | 19200 | 0.6519 | - | - | - |
| 0.1479 | 19300 | 0.4398 | - | - | - |
| 0.1487 | 19400 | 0.6364 | - | - | - |
| 0.1494 | 19500 | 0.5541 | - | - | - |
| 0.1502 | 19600 | 0.5911 | - | - | - |
| 0.1510 | 19700 | 0.4827 | - | - | - |
| 0.1517 | 19800 | 0.3507 | - | - | - |
| 0.1525 | 19900 | 0.4048 | - | - | - |
| 0.1533 | 20000 | 0.5348 | 1.1738 | 0.7378 | - |
| 0.1540 | 20100 | 0.5465 | - | - | - |
| 0.1548 | 20200 | 0.4924 | - | - | - |
| 0.1556 | 20300 | 0.5436 | - | - | - |
| 0.1563 | 20400 | 0.7259 | - | - | - |
| 0.1571 | 20500 | 0.5202 | - | - | - |
| 0.1579 | 20600 | 0.5634 | - | - | - |
| 0.1586 | 20700 | 0.6697 | - | - | - |
| 0.1594 | 20800 | 0.7563 | - | - | - |
| 0.1602 | 20900 | 0.6669 | - | - | - |
| 0.1609 | 21000 | 0.8264 | - | - | - |
| 0.1617 | 21100 | 0.948 | - | - | - |
| 0.1624 | 21200 | 0.7443 | - | - | - |
| 0.1632 | 21300 | 0.3897 | - | - | - |
| 0.1640 | 21400 | 0.7757 | - | - | - |
| 0.1647 | 21500 | 0.7034 | - | - | - |
| 0.1655 | 21600 | 0.7031 | - | - | - |
| 0.1663 | 21700 | 0.6138 | - | - | - |
| 0.1670 | 21800 | 0.5235 | - | - | - |
| 0.1678 | 21900 | 0.5078 | - | - | - |
| 0.1686 | 22000 | 0.7041 | 1.3245 | 0.7018 | - |
| 0.1693 | 22100 | 0.8529 | - | - | - |
| 0.1701 | 22200 | 0.5939 | - | - | - |
| 0.1709 | 22300 | 0.642 | - | - | - |
| 0.1716 | 22400 | 0.5834 | - | - | - |
| 0.1724 | 22500 | 0.7157 | - | - | - |
| 0.1732 | 22600 | 0.5561 | - | - | - |
| 0.1739 | 22700 | 0.5861 | - | - | - |
| 0.1747 | 22800 | 0.4327 | - | - | - |
| 0.1755 | 22900 | 0.409 | - | - | - |
| 0.1762 | 23000 | 0.462 | - | - | - |
| 0.1770 | 23100 | 0.581 | - | - | - |
| 0.1778 | 23200 | 0.5704 | - | - | - |
| 0.1785 | 23300 | 0.8111 | - | - | - |
| 0.1793 | 23400 | 0.6905 | - | - | - |
| 0.1801 | 23500 | 0.6811 | - | - | - |
| 0.1808 | 23600 | 0.6078 | - | - | - |
| 0.1816 | 23700 | 0.6502 | - | - | - |
| 0.1824 | 23800 | 0.5575 | - | - | - |
| 0.1831 | 23900 | 0.5162 | - | - | - |
| 0.1839 | 24000 | 0.7487 | 1.5347 | 0.7036 | - |
| 0.1847 | 24100 | 0.7011 | - | - | - |
| 0.1854 | 24200 | 0.7417 | - | - | - |
| 0.1862 | 24300 | 0.6514 | - | - | - |
| 0.1870 | 24400 | 0.738 | - | - | - |
| 0.1877 | 24500 | 0.7296 | - | - | - |
| 0.1885 | 24600 | 0.6939 | - | - | - |
| 0.1893 | 24700 | 0.8072 | - | - | - |
| 0.1900 | 24800 | 0.7847 | - | - | - |
| 0.1908 | 24900 | 0.5243 | - | - | - |
| 0.1916 | 25000 | 0.8317 | - | - | - |
| 0.1923 | 25100 | 0.3981 | - | - | - |
| 0.1931 | 25200 | 0.4715 | - | - | - |
| 0.1939 | 25300 | 0.3734 | - | - | - |
| 0.1946 | 25400 | 0.43 | - | - | - |
| 0.1954 | 25500 | 0.6921 | - | - | - |
| 0.1962 | 25600 | 0.724 | - | - | - |
| 0.1969 | 25700 | 0.4203 | - | - | - |
| 0.1977 | 25800 | 0.3013 | - | - | - |
| 0.1985 | 25900 | 0.5666 | - | - | - |
| 0.1992 | 26000 | 0.454 | 0.5471 | 0.9028 | - |
| 0.2000 | 26100 | 0.4989 | - | - | - |
| 0.2008 | 26200 | 0.4614 | - | - | - |
| 0.2015 | 26300 | 0.2856 | - | - | - |
| 0.2023 | 26400 | 0.458 | - | - | - |
| 0.2031 | 26500 | 0.5247 | - | - | - |
| 0.2038 | 26600 | 0.4425 | - | - | - |
| 0.2046 | 26700 | 0.4603 | - | - | - |
| 0.2054 | 26800 | 0.6186 | - | - | - |
| 0.2061 | 26900 | 0.6571 | - | - | - |
| 0.2069 | 27000 | 0.6305 | - | - | - |
| 0.2077 | 27100 | 0.5351 | - | - | - |
| 0.2084 | 27200 | 0.3616 | - | - | - |
| 0.2092 | 27300 | 0.7269 | - | - | - |
| 0.2100 | 27400 | 0.4669 | - | - | - |
| 0.2107 | 27500 | 0.3201 | - | - | - |
| 0.2115 | 27600 | 0.4897 | - | - | - |
| 0.2123 | 27700 | 0.4902 | - | - | - |
| 0.2130 | 27800 | 0.3957 | - | - | - |
| 0.2138 | 27900 | 0.418 | - | - | - |
| 0.2146 | 28000 | 0.294 | 1.1809 | 0.8098 | - |
| 0.2153 | 28100 | 0.3014 | - | - | - |
| 0.2161 | 28200 | 0.2607 | - | - | - |
| 0.2169 | 28300 | 0.5948 | - | - | - |
| 0.2176 | 28400 | 0.5235 | - | - | - |
| 0.2184 | 28500 | 0.2864 | - | - | - |
| 0.2192 | 28600 | 0.4785 | - | - | - |
| 0.2199 | 28700 | 0.6624 | - | - | - |
| 0.2207 | 28800 | 0.4939 | - | - | - |
| 0.2215 | 28900 | 0.5468 | - | - | - |
| 0.2222 | 29000 | 0.2632 | - | - | - |
| 0.2230 | 29100 | 0.2601 | - | - | - |
| 0.2238 | 29200 | 0.4946 | - | - | - |
| 0.2245 | 29300 | 0.5398 | - | - | - |
| 0.2253 | 29400 | 0.3971 | - | - | - |
| 0.2261 | 29500 | 0.2474 | - | - | - |
| 0.2268 | 29600 | 0.2803 | - | - | - |
| 0.2276 | 29700 | 0.3461 | - | - | - |
| 0.2283 | 29800 | 0.569 | - | - | - |
| 0.2291 | 29900 | 0.3645 | - | - | - |
| 0.2299 | 30000 | 0.4675 | 0.7793 | 0.82 | - |
| 0.2306 | 30100 | 0.3114 | - | - | - |
| 0.2314 | 30200 | 0.2872 | - | - | - |
| 0.2322 | 30300 | 0.2524 | - | - | - |
| 0.2329 | 30400 | 0.3419 | - | - | - |
| 0.2337 | 30500 | 0.3456 | - | - | - |
| 0.2345 | 30600 | 0.2813 | - | - | - |
| 0.2352 | 30700 | 0.6423 | - | - | - |
| 0.2360 | 30800 | 0.5166 | - | - | - |
| 0.2368 | 30900 | 0.6356 | - | - | - |
| 0.2375 | 31000 | 0.6066 | - | - | - |
| 0.2383 | 31100 | 0.3955 | - | - | - |
| 0.2391 | 31200 | 0.4736 | - | - | - |
| 0.2398 | 31300 | 0.468 | - | - | - |
| 0.2406 | 31400 | 0.4473 | - | - | - |
| 0.2414 | 31500 | 0.5372 | - | - | - |
| 0.2421 | 31600 | 0.6317 | - | - | - |
| 0.2429 | 31700 | 0.6729 | - | - | - |
| 0.2437 | 31800 | 0.4201 | - | - | - |
| 0.2444 | 31900 | 0.5762 | - | - | - |
| 0.2452 | 32000 | 0.465 | 1.2451 | 0.711 | - |
| 0.2460 | 32100 | 0.5183 | - | - | - |
| 0.2467 | 32200 | 0.5787 | - | - | - |
| 0.2475 | 32300 | 0.2941 | - | - | - |
| 0.2483 | 32400 | 0.3294 | - | - | - |
| 0.2490 | 32500 | 0.5425 | - | - | - |
| 0.2498 | 32600 | 0.4231 | - | - | - |
| 0.2506 | 32700 | 0.4012 | - | - | - |
| 0.2513 | 32800 | 0.5048 | - | - | - |
| 0.2521 | 32900 | 0.7835 | - | - | - |
| 0.2529 | 33000 | 0.4841 | - | - | - |
| 0.2536 | 33100 | 0.5165 | - | - | - |
| 0.2544 | 33200 | 0.616 | - | - | - |
| 0.2552 | 33300 | 0.7964 | - | - | - |
| 0.2559 | 33400 | 0.6555 | - | - | - |
| 0.2567 | 33500 | 0.8277 | - | - | - |
| 0.2575 | 33600 | 0.968 | - | - | - |
| 0.2582 | 33700 | 0.7169 | - | - | - |
| 0.2590 | 33800 | 0.4022 | - | - | - |
| 0.2598 | 33900 | 0.7319 | - | - | - |
| 0.2605 | 34000 | 0.6992 | 1.1376 | 0.7298 | - |
| 0.2613 | 34100 | 0.6158 | - | - | - |
| 0.2621 | 34200 | 0.5864 | - | - | - |
| 0.2628 | 34300 | 0.4992 | - | - | - |
| 0.2636 | 34400 | 0.4612 | - | - | - |
| 0.2644 | 34500 | 0.6673 | - | - | - |
| 0.2651 | 34600 | 0.7744 | - | - | - |
| 0.2659 | 34700 | 0.5635 | - | - | - |
| 0.2667 | 34800 | 0.5776 | - | - | - |
| 0.2674 | 34900 | 0.5226 | - | - | - |
| 0.2682 | 35000 | 0.7188 | - | - | - |
| 0.2690 | 35100 | 0.5005 | - | - | - |
| 0.2697 | 35200 | 0.5778 | - | - | - |
| 0.2705 | 35300 | 0.4347 | - | - | - |
| 0.2713 | 35400 | 0.4557 | - | - | - |
| 0.2720 | 35500 | 0.4636 | - | - | - |
| 0.2728 | 35600 | 0.503 | - | - | - |
| 0.2736 | 35700 | 0.496 | - | - | - |
| 0.2743 | 35800 | 0.7014 | - | - | - |
| 0.2751 | 35900 | 0.6399 | - | - | - |
| 0.2759 | 36000 | 0.5515 | 1.0167 | 0.7976 | - |
| 0.2766 | 36100 | 0.5554 | - | - | - |
| 0.2774 | 36200 | 0.6826 | - | - | - |
| 0.2782 | 36300 | 0.588 | - | - | - |
| 0.2789 | 36400 | 0.5108 | - | - | - |
| 0.2797 | 36500 | 0.7009 | - | - | - |
| 0.2805 | 36600 | 0.5777 | - | - | - |
| 0.2812 | 36700 | 0.68 | - | - | - |
| 0.2820 | 36800 | 0.5866 | - | - | - |
| 0.2828 | 36900 | 0.6809 | - | - | - |
| 0.2835 | 37000 | 0.6074 | - | - | - |
| 0.2843 | 37100 | 0.5996 | - | - | - |
| 0.2851 | 37200 | 0.7923 | - | - | - |
| 0.2858 | 37300 | 0.7223 | - | - | - |
| 0.2866 | 37400 | 0.4707 | - | - | - |
| 0.2874 | 37500 | 0.8465 | - | - | - |
| 0.2881 | 37600 | 0.4312 | - | - | - |
| 0.2889 | 37700 | 0.4312 | - | - | - |
| 0.2897 | 37800 | 0.4297 | - | - | - |
| 0.2904 | 37900 | 0.3338 | - | - | - |
| 0.2912 | 38000 | 0.7997 | 0.8492 | 0.859 | - |
| 0.2919 | 38100 | 0.7267 | - | - | - |
| 0.2927 | 38200 | 0.453 | - | - | - |
| 0.2935 | 38300 | 0.3056 | - | - | - |
| 0.2942 | 38400 | 0.5767 | - | - | - |
| 0.2950 | 38500 | 0.4489 | - | - | - |
| 0.2958 | 38600 | 0.4936 | - | - | - |
| 0.2965 | 38700 | 0.4155 | - | - | - |
| 0.2973 | 38800 | 0.2844 | - | - | - |
| 0.2981 | 38900 | 0.3929 | - | - | - |
| 0.2988 | 39000 | 0.4238 | - | - | - |
| 0.2996 | 39100 | 0.4135 | - | - | - |
| 0.3004 | 39200 | 0.2814 | - | - | - |
| 0.3011 | 39300 | 0.6305 | - | - | - |
| 0.3019 | 39400 | 0.5786 | - | - | - |
| 0.3027 | 39500 | 0.6518 | - | - | - |
| 0.3034 | 39600 | 0.3739 | - | - | - |
| 0.3042 | 39700 | 0.2734 | - | - | - |
| 0.3050 | 39800 | 0.7305 | - | - | - |
| 0.3057 | 39900 | 0.46 | - | - | - |
| 0.3065 | 40000 | 0.3369 | 0.8074 | 0.8386 | - |
| 0.3073 | 40100 | 0.3867 | - | - | - |
| 0.3080 | 40200 | 0.5064 | - | - | - |
| 0.3088 | 40300 | 0.2786 | - | - | - |
| 0.3096 | 40400 | 0.2565 | - | - | - |
| 0.3103 | 40500 | 0.2664 | - | - | - |
| 0.3111 | 40600 | 0.2573 | - | - | - |
| 0.3119 | 40700 | 0.2323 | - | - | - |
| 0.3126 | 40800 | 0.4503 | - | - | - |
| 0.3134 | 40900 | 0.4634 | - | - | - |
| 0.3142 | 41000 | 0.2864 | - | - | - |
| 0.3149 | 41100 | 0.4351 | - | - | - |
| 0.3157 | 41200 | 0.6829 | - | - | - |
| 0.3165 | 41300 | 0.4354 | - | - | - |
| 0.3172 | 41400 | 0.4817 | - | - | - |
| 0.3180 | 41500 | 0.2635 | - | - | - |
| 0.3188 | 41600 | 0.3183 | - | - | - |
| 0.3195 | 41700 | 0.4315 | - | - | - |
| 0.3203 | 41800 | 0.6398 | - | - | - |
| 0.3211 | 41900 | 0.3831 | - | - | - |
| 0.3218 | 42000 | 0.195 | 0.9463 | 0.774 | - |
| 0.3226 | 42100 | 0.2588 | - | - | - |
| 0.3234 | 42200 | 0.3148 | - | - | - |
| 0.3241 | 42300 | 0.5142 | - | - | - |
| 0.3249 | 42400 | 0.3584 | - | - | - |
| 0.3257 | 42500 | 0.3459 | - | - | - |
| 0.3264 | 42600 | 0.2535 | - | - | - |
| 0.3272 | 42700 | 0.3347 | - | - | - |
| 0.3280 | 42800 | 0.2351 | - | - | - |
| 0.3287 | 42900 | 0.4061 | - | - | - |
| 0.3295 | 43000 | 0.3064 | - | - | - |
| 0.3303 | 43100 | 0.3565 | - | - | - |
| 0.3310 | 43200 | 0.6056 | - | - | - |
| 0.3318 | 43300 | 0.4197 | - | - | - |
| 0.3326 | 43400 | 0.5453 | - | - | - |
| 0.3333 | 43500 | 0.5166 | - | - | - |
| 0.3341 | 43600 | 0.3983 | - | - | - |
| 0.3349 | 43700 | 0.462 | - | - | - |
| 0.3356 | 43800 | 0.4676 | - | - | - |
| 0.3364 | 43900 | 0.4021 | - | - | - |
| 0.3372 | 44000 | 0.5591 | 0.8470 | 0.799 | - |
| 0.3379 | 44100 | 0.588 | - | - | - |
| 0.3387 | 44200 | 0.6152 | - | - | - |
| 0.3395 | 44300 | 0.3542 | - | - | - |
| 0.3402 | 44400 | 0.5048 | - | - | - |
| 0.3410 | 44500 | 0.4672 | - | - | - |
| 0.3418 | 44600 | 0.519 | - | - | - |
| 0.3425 | 44700 | 0.4492 | - | - | - |
| 0.3433 | 44800 | 0.2612 | - | - | - |
| 0.3441 | 44900 | 0.3205 | - | - | - |
| 0.3448 | 45000 | 0.4904 | - | - | - |
| 0.3456 | 45100 | 0.3813 | - | - | - |
| 0.3464 | 45200 | 0.4119 | - | - | - |
| 0.3471 | 45300 | 0.4968 | - | - | - |
| 0.3479 | 45400 | 0.5634 | - | - | - |
| 0.3487 | 45500 | 0.4638 | - | - | - |
| 0.3494 | 45600 | 0.4271 | - | - | - |
| 0.3502 | 45700 | 0.61 | - | - | - |
| 0.3510 | 45800 | 0.782 | - | - | - |
| 0.3517 | 45900 | 0.6051 | - | - | - |
| 0.3525 | 46000 | 0.8175 | 0.7792 | 0.7852 | - |
| 0.3533 | 46100 | 0.942 | - | - | - |
| 0.3540 | 46200 | 0.6811 | - | - | - |
| 0.3548 | 46300 | 0.376 | - | - | - |
| 0.3556 | 46400 | 0.704 | - | - | - |
| 0.3563 | 46500 | 0.6783 | - | - | - |
| 0.3571 | 46600 | 0.5986 | - | - | - |
| 0.3578 | 46700 | 0.5548 | - | - | - |
| 0.3586 | 46800 | 0.4983 | - | - | - |
| 0.3594 | 46900 | 0.402 | - | - | - |
| 0.3601 | 47000 | 0.6978 | - | - | - |
| 0.3609 | 47100 | 0.7503 | - | - | - |
| 0.3617 | 47200 | 0.5298 | - | - | - |
| 0.3624 | 47300 | 0.6138 | - | - | - |
| 0.3632 | 47400 | 0.5539 | - | - | - |
| 0.3640 | 47500 | 0.591 | - | - | - |
| 0.3647 | 47600 | 0.4999 | - | - | - |
| 0.3655 | 47700 | 0.4934 | - | - | - |
| 0.3663 | 47800 | 0.4399 | - | - | - |
| 0.3670 | 47900 | 0.4822 | - | - | - |
| 0.3678 | 48000 | 0.4384 | 1.0635 | 0.7896 | - |
| 0.3686 | 48100 | 0.5239 | - | - | - |
| 0.3693 | 48200 | 0.503 | - | - | - |
| 0.3701 | 48300 | 0.6655 | - | - | - |
| 0.3709 | 48400 | 0.6247 | - | - | - |
| 0.3716 | 48500 | 0.6036 | - | - | - |
| 0.3724 | 48600 | 0.524 | - | - | - |
| 0.3732 | 48700 | 0.6682 | - | - | - |
| 0.3739 | 48800 | 0.5122 | - | - | - |
| 0.3747 | 48900 | 0.4451 | - | - | - |
| 0.3755 | 49000 | 0.7625 | - | - | - |
| 0.3762 | 49100 | 0.6206 | - | - | - |
| 0.3770 | 49200 | 0.701 | - | - | - |
| 0.3778 | 49300 | 0.6259 | - | - | - |
| 0.3785 | 49400 | 0.6891 | - | - | - |
| 0.3793 | 49500 | 0.5746 | - | - | - |
| 0.3801 | 49600 | 0.7717 | - | - | - |
| 0.3808 | 49700 | 0.7877 | - | - | - |
| 0.3816 | 49800 | 0.7302 | - | - | - |
| 0.3824 | 49900 | 0.5473 | - | - | - |
| 0.3831 | 50000 | 0.7718 | 0.7419 | 0.8194 | - |
| 0.3839 | 50100 | 0.5886 | - | - | - |
| 0.3847 | 50200 | 0.4268 | - | - | - |
| 0.3854 | 50300 | 0.411 | - | - | - |
| 0.3862 | 50400 | 0.4831 | - | - | - |
| 0.3870 | 50500 | 0.5904 | - | - | - |
| 0.3877 | 50600 | 0.7364 | - | - | - |
| 0.3885 | 50700 | 0.4386 | - | - | - |
| 0.3893 | 50800 | 0.3428 | - | - | - |
| 0.3900 | 50900 | 0.5774 | - | - | - |
| 0.3908 | 51000 | 0.4221 | - | - | - |
| 0.3916 | 51100 | 0.4026 | - | - | - |
| 0.3923 | 51200 | 0.3776 | - | - | - |
| 0.3931 | 51300 | 0.203 | - | - | - |
| 0.3939 | 51400 | 0.5251 | - | - | - |
| 0.3946 | 51500 | 0.4351 | - | - | - |
| 0.3954 | 51600 | 0.353 | - | - | - |
| 0.3962 | 51700 | 0.2841 | - | - | - |
| 0.3969 | 51800 | 0.5105 | - | - | - |
| 0.3977 | 51900 | 0.4854 | - | - | - |
| 0.3985 | 52000 | 0.5926 | 0.4281 | 0.9072 | - |
| 0.3992 | 52100 | 0.4137 | - | - | - |
| 0.4000 | 52200 | 0.2775 | - | - | - |
| 0.4008 | 52300 | 0.7688 | - | - | - |
| 0.4015 | 52400 | 0.4428 | - | - | - |
| 0.4023 | 52500 | 0.289 | - | - | - |
| 0.4031 | 52600 | 0.414 | - | - | - |
| 0.4038 | 52700 | 0.3626 | - | - | - |
| 0.4046 | 52800 | 0.2762 | - | - | - |
| 0.4054 | 52900 | 0.3207 | - | - | - |
| 0.4061 | 53000 | 0.2421 | - | - | - |
| 0.4069 | 53100 | 0.2585 | - | - | - |
| 0.4077 | 53200 | 0.2573 | - | - | - |
| 0.4084 | 53300 | 0.439 | - | - | - |
| 0.4092 | 53400 | 0.4406 | - | - | - |
| 0.4100 | 53500 | 0.2119 | - | - | - |
| 0.4107 | 53600 | 0.3343 | - | - | - |
| 0.4115 | 53700 | 0.6587 | - | - | - |
| 0.4123 | 53800 | 0.4071 | - | - | - |
| 0.4130 | 53900 | 0.5403 | - | - | - |
| 0.4138 | 54000 | 0.2426 | 0.5609 | 0.8958 | - |
| 0.4146 | 54100 | 0.241 | - | - | - |
| 0.4153 | 54200 | 0.3912 | - | - | - |
| 0.4161 | 54300 | 0.5871 | - | - | - |
| 0.4169 | 54400 | 0.358 | - | - | - |
| 0.4176 | 54500 | 0.1675 | - | - | - |
| 0.4184 | 54600 | 0.2417 | - | - | - |
| 0.4192 | 54700 | 0.3239 | - | - | - |
| 0.4199 | 54800 | 0.3485 | - | - | - |
| 0.4207 | 54900 | 0.4117 | - | - | - |
| 0.4214 | 55000 | 0.5028 | - | - | - |
| 0.4222 | 55100 | 0.265 | - | - | - |
| 0.4230 | 55200 | 0.3147 | - | - | - |
| 0.4237 | 55300 | 0.2105 | - | - | - |
| 0.4245 | 55400 | 0.3083 | - | - | - |
| 0.4253 | 55500 | 0.2695 | - | - | - |
| 0.4260 | 55600 | 0.3412 | - | - | - |
| 0.4268 | 55700 | 0.6009 | - | - | - |
| 0.4276 | 55800 | 0.4202 | - | - | - |
| 0.4283 | 55900 | 0.5336 | - | - | - |
| 0.4291 | 56000 | 0.4002 | 0.8252 | 0.8624 | - |
| 0.4299 | 56100 | 0.4216 | - | - | - |
| 0.4306 | 56200 | 0.3402 | - | - | - |
| 0.4314 | 56300 | 0.4168 | - | - | - |
| 0.4322 | 56400 | 0.4411 | - | - | - |
| 0.4329 | 56500 | 0.5359 | - | - | - |
| 0.4337 | 56600 | 0.5151 | - | - | - |
| 0.4345 | 56700 | 0.6349 | - | - | - |
| 0.4352 | 56800 | 1.5813 | - | - | - |
| 0.4360 | 56900 | 1.6637 | - | - | - |
| 0.4368 | 57000 | 1.7604 | - | - | - |
| 0.4375 | 57100 | 2.0211 | - | - | - |
| 0.4383 | 57200 | 1.9293 | - | - | - |
| 0.4391 | 57300 | 1.9076 | - | - | - |
| 0.4398 | 57400 | 1.9143 | - | - | - |
| 0.4406 | 57500 | 1.7937 | - | - | - |
| 0.4414 | 57600 | 1.8207 | - | - | - |
| 0.4421 | 57700 | 1.813 | - | - | - |
| 0.4429 | 57800 | 1.7214 | - | - | - |
| 0.4437 | 57900 | 1.7229 | - | - | - |
| 0.4444 | 58000 | 1.6582 | 0.8077 | 0.7914 | - |
| 0.4452 | 58100 | 1.6518 | - | - | - |
| 0.4460 | 58200 | 1.6449 | - | - | - |
| 0.4467 | 58300 | 1.568 | - | - | - |
| 0.4475 | 58400 | 1.5673 | - | - | - |
| 0.4483 | 58500 | 1.5651 | - | - | - |
| 0.4490 | 58600 | 1.5778 | - | - | - |
| 0.4498 | 58700 | 1.5195 | - | - | - |
| 0.4506 | 58800 | 1.4874 | - | - | - |
| 0.4513 | 58900 | 1.4405 | - | - | - |
| 0.4521 | 59000 | 1.4545 | - | - | - |
| 0.4529 | 59100 | 1.5086 | - | - | - |
| 0.4536 | 59200 | 1.4828 | - | - | - |
| 0.4544 | 59300 | 1.4325 | - | - | - |
| 0.4552 | 59400 | 1.4079 | - | - | - |
| 0.4559 | 59500 | 1.4081 | - | - | - |
| 0.4567 | 59600 | 1.3905 | - | - | - |
| 0.4575 | 59700 | 1.4186 | - | - | - |
| 0.4582 | 59800 | 1.41 | - | - | - |
| 0.4590 | 59900 | 1.4407 | - | - | - |
| 0.4598 | 60000 | 1.3896 | 0.7229 | 0.8242 | - |
| 0.4605 | 60100 | 1.3876 | - | - | - |
| 0.4613 | 60200 | 1.3545 | - | - | - |
| 0.4621 | 60300 | 1.3546 | - | - | - |
| 0.4628 | 60400 | 1.3438 | - | - | - |
| 0.4636 | 60500 | 1.3356 | - | - | - |
| 0.4644 | 60600 | 1.3805 | - | - | - |
| 0.4651 | 60700 | 1.4346 | - | - | - |
| 0.4659 | 60800 | 1.521 | - | - | - |
| 0.4667 | 60900 | 1.6184 | - | - | - |
| 0.4674 | 61000 | 1.5194 | - | - | - |
| 0.4682 | 61100 | 1.5911 | - | - | - |
| 0.4690 | 61200 | 1.5137 | - | - | - |
| 0.4697 | 61300 | 1.5644 | - | - | - |
| 0.4705 | 61400 | 1.5005 | - | - | - |
| 0.4713 | 61500 | 1.5356 | - | - | - |
| 0.4720 | 61600 | 1.4965 | - | - | - |
| 0.4728 | 61700 | 1.4623 | - | - | - |
| 0.4736 | 61800 | 1.4455 | - | - | - |
| 0.4743 | 61900 | 1.4451 | - | - | - |
| 0.4751 | 62000 | 1.4847 | 0.7731 | 0.8068 | - |
| 0.4759 | 62100 | 1.5076 | - | - | - |
| 0.4766 | 62200 | 1.4562 | - | - | - |
| 0.4774 | 62300 | 1.4864 | - | - | - |
| 0.4782 | 62400 | 1.4849 | - | - | - |
| 0.4789 | 62500 | 1.4504 | - | - | - |
| 0.4797 | 62600 | 1.4445 | - | - | - |
| 0.4805 | 62700 | 1.4533 | - | - | - |
| 0.4812 | 62800 | 1.3457 | - | - | - |
| 0.4820 | 62900 | 1.4672 | - | - | - |
| 0.4828 | 63000 | 1.3975 | - | - | - |
| 0.4835 | 63100 | 1.4895 | - | - | - |
| 0.4843 | 63200 | 1.3786 | - | - | - |
| 0.4851 | 63300 | 1.4722 | - | - | - |
| 0.4858 | 63400 | 1.4289 | - | - | - |
| 0.4866 | 63500 | 1.4191 | - | - | - |
| 0.4873 | 63600 | 1.4131 | - | - | - |
| 0.4881 | 63700 | 1.4592 | - | - | - |
| 0.4889 | 63800 | 1.4045 | - | - | - |
| 0.4896 | 63900 | 1.4086 | - | - | - |
| 0.4904 | 64000 | 1.3957 | 0.9342 | 0.7664 | - |
| 0.4912 | 64100 | 1.4041 | - | - | - |
| 0.4919 | 64200 | 1.3465 | - | - | - |
| 0.4927 | 64300 | 1.3846 | - | - | - |
| 0.4935 | 64400 | 1.4103 | - | - | - |
| 0.4942 | 64500 | 1.453 | - | - | - |
| 0.4950 | 64600 | 1.3668 | - | - | - |
| 0.4958 | 64700 | 1.426 | - | - | - |
| 0.4965 | 64800 | 1.4182 | - | - | - |
| 0.4973 | 64900 | 1.4032 | - | - | - |
| 0.4981 | 65000 | 1.3454 | - | - | - |
| 0.4988 | 65100 | 1.3173 | - | - | - |
| 0.4996 | 65200 | 1.3348 | - | - | - |
| 0.5004 | 65300 | 1.3542 | - | - | - |
| 0.5011 | 65400 | 1.3372 | - | - | - |
| 0.5019 | 65500 | 1.2873 | - | - | - |
| 0.5027 | 65600 | 1.3441 | - | - | - |
| 0.5034 | 65700 | 1.3465 | - | - | - |
| 0.5042 | 65800 | 1.3539 | - | - | - |
| 0.5050 | 65900 | 1.2753 | - | - | - |
| 0.5057 | 66000 | 1.349 | 1.0317 | 0.7534 | - |
| 0.5065 | 66100 | 1.3076 | - | - | - |
| 0.5073 | 66200 | 1.3808 | - | - | - |
| 0.5080 | 66300 | 1.3185 | - | - | - |
| 0.5088 | 66400 | 1.334 | - | - | - |
| 0.5096 | 66500 | 1.35 | - | - | - |
| 0.5103 | 66600 | 1.3469 | - | - | - |
| 0.5111 | 66700 | 1.3219 | - | - | - |
| 0.5119 | 66800 | 1.2597 | - | - | - |
| 0.5126 | 66900 | 1.3477 | - | - | - |
| 0.5134 | 67000 | 1.3463 | - | - | - |
| 0.5142 | 67100 | 1.2914 | - | - | - |
| 0.5149 | 67200 | 1.3025 | - | - | - |
| 0.5157 | 67300 | 1.2898 | - | - | - |
| 0.5165 | 67400 | 1.316 | - | - | - |
| 0.5172 | 67500 | 1.3588 | - | - | - |
| 0.5180 | 67600 | 1.3554 | - | - | - |
| 0.5188 | 67700 | 1.2989 | - | - | - |
| 0.5195 | 67800 | 1.3239 | - | - | - |
| 0.5203 | 67900 | 1.3008 | - | - | - |
| 0.5211 | 68000 | 1.325 | 1.0629 | 0.7204 | - |
| 0.5218 | 68100 | 1.3205 | - | - | - |
| 0.5226 | 68200 | 1.2946 | - | - | - |
| 0.5234 | 68300 | 1.3071 | - | - | - |
| 0.5241 | 68400 | 1.3348 | - | - | - |
| 0.5249 | 68500 | 1.3374 | - | - | - |
| 0.5257 | 68600 | 1.323 | - | - | - |
| 0.5264 | 68700 | 1.2934 | - | - | - |
| 0.5272 | 68800 | 1.3721 | - | - | - |
| 0.5280 | 68900 | 1.2767 | - | - | - |
| 0.5287 | 69000 | 1.2603 | - | - | - |
| 0.5295 | 69100 | 1.2686 | - | - | - |
| 0.5303 | 69200 | 1.2532 | - | - | - |
| 0.5310 | 69300 | 1.2824 | - | - | - |
| 0.5318 | 69400 | 1.2738 | - | - | - |
| 0.5326 | 69500 | 1.3338 | - | - | - |
| 0.5333 | 69600 | 1.2718 | - | - | - |
| 0.5341 | 69700 | 1.3239 | - | - | - |
| 0.5349 | 69800 | 1.2581 | - | - | - |
| 0.5356 | 69900 | 1.2255 | - | - | - |
| 0.5364 | 70000 | 1.3209 | 0.9075 | 0.7632 | - |
| 0.5372 | 70100 | 1.2825 | - | - | - |
| 0.5379 | 70200 | 1.2475 | - | - | - |
| 0.5387 | 70300 | 1.2232 | - | - | - |
| 0.5395 | 70400 | 1.267 | - | - | - |
| 0.5402 | 70500 | 1.2777 | - | - | - |
| 0.5410 | 70600 | 1.2831 | - | - | - |
| 0.5418 | 70700 | 1.2507 | - | - | - |
| 0.5425 | 70800 | 1.2428 | - | - | - |
| 0.5433 | 70900 | 1.2765 | - | - | - |
| 0.5441 | 71000 | 1.2613 | - | - | - |
| 0.5448 | 71100 | 1.2286 | - | - | - |
| 0.5456 | 71200 | 1.2344 | - | - | - |
| 0.5464 | 71300 | 1.2684 | - | - | - |
| 0.5471 | 71400 | 1.233 | - | - | - |
| 0.5479 | 71500 | 1.2488 | - | - | - |
| 0.5487 | 71600 | 1.2544 | - | - | - |
| 0.5494 | 71700 | 1.3167 | - | - | - |
| 0.5502 | 71800 | 1.256 | - | - | - |
| 0.5509 | 71900 | 1.3045 | - | - | - |
| 0.5517 | 72000 | 1.2699 | 0.9015 | 0.7592 | - |
| 0.5525 | 72100 | 1.2664 | - | - | - |
| 0.5532 | 72200 | 1.24 | - | - | - |
| 0.5540 | 72300 | 1.2285 | - | - | - |
| 0.5548 | 72400 | 1.2797 | - | - | - |
| 0.5555 | 72500 | 1.1958 | - | - | - |
| 0.5563 | 72600 | 1.2537 | - | - | - |
| 0.5571 | 72700 | 1.255 | - | - | - |
| 0.5578 | 72800 | 1.2302 | - | - | - |
| 0.5586 | 72900 | 1.2105 | - | - | - |
| 0.5594 | 73000 | 1.2941 | - | - | - |
| 0.5601 | 73100 | 1.2283 | - | - | - |
| 0.5609 | 73200 | 1.2497 | - | - | - |
| 0.5617 | 73300 | 1.2425 | - | - | - |
| 0.5624 | 73400 | 1.1892 | - | - | - |
| 0.5632 | 73500 | 1.1626 | - | - | - |
| 0.5640 | 73600 | 1.2128 | - | - | - |
| 0.5647 | 73700 | 1.1867 | - | - | - |
| 0.5655 | 73800 | 1.1584 | - | - | - |
| 0.5663 | 73900 | 1.2393 | - | - | - |
| 0.5670 | 74000 | 1.2418 | 0.9238 | 0.7524 | - |
| 0.5678 | 74100 | 1.1947 | - | - | - |
| 0.5686 | 74200 | 1.1706 | - | - | - |
| 0.5693 | 74300 | 1.2323 | - | - | - |
| 0.5701 | 74400 | 1.1935 | - | - | - |
| 0.5709 | 74500 | 1.1717 | - | - | - |
| 0.5716 | 74600 | 1.1926 | - | - | - |
| 0.5724 | 74700 | 1.1835 | - | - | - |
| 0.5732 | 74800 | 1.1998 | - | - | - |
| 0.5739 | 74900 | 1.1909 | - | - | - |
| 0.5747 | 75000 | 1.2149 | - | - | - |
| 0.5755 | 75100 | 1.2231 | - | - | - |
| 0.5762 | 75200 | 1.1709 | - | - | - |
| 0.5770 | 75300 | 1.2359 | - | - | - |
| 0.5778 | 75400 | 1.2179 | - | - | - |
| 0.5785 | 75500 | 1.2352 | - | - | - |
| 0.5793 | 75600 | 1.2049 | - | - | - |
| 0.5801 | 75700 | 1.2066 | - | - | - |
| 0.5808 | 75800 | 1.1898 | - | - | - |
| 0.5816 | 75900 | 1.1925 | - | - | - |
| 0.5824 | 76000 | 1.2601 | 1.0085 | 0.7544 | - |
| 0.5831 | 76100 | 1.1366 | - | - | - |
| 0.5839 | 76200 | 1.2151 | - | - | - |
| 0.5847 | 76300 | 1.2266 | - | - | - |
| 0.5854 | 76400 | 1.1512 | - | - | - |
| 0.5862 | 76500 | 1.1519 | - | - | - |
| 0.5870 | 76600 | 1.1471 | - | - | - |
| 0.5877 | 76700 | 1.1844 | - | - | - |
| 0.5885 | 76800 | 1.2006 | - | - | - |
| 0.5893 | 76900 | 1.2498 | - | - | - |
| 0.5900 | 77000 | 1.2298 | - | - | - |
| 0.5908 | 77100 | 1.1835 | - | - | - |
| 0.5916 | 77200 | 1.1874 | - | - | - |
| 0.5923 | 77300 | 1.2055 | - | - | - |
| 0.5931 | 77400 | 1.199 | - | - | - |
| 0.5939 | 77500 | 1.1363 | - | - | - |
| 0.5946 | 77600 | 1.1442 | - | - | - |
| 0.5954 | 77700 | 1.204 | - | - | - |
| 0.5962 | 77800 | 1.1489 | - | - | - |
| 0.5969 | 77900 | 1.1989 | - | - | - |
| 0.5977 | 78000 | 1.1938 | 0.9296 | 0.7794 | - |
| 0.5985 | 78100 | 1.2019 | - | - | - |
| 0.5992 | 78200 | 1.1795 | - | - | - |
| 0.6000 | 78300 | 1.1761 | - | - | - |
| 0.6008 | 78400 | 1.1299 | - | - | - |
| 0.6015 | 78500 | 1.1738 | - | - | - |
| 0.6023 | 78600 | 1.2198 | - | - | - |
| 0.6031 | 78700 | 1.1572 | - | - | - |
| 0.6038 | 78800 | 1.167 | - | - | - |
| 0.6046 | 78900 | 1.1832 | - | - | - |
| 0.6054 | 79000 | 1.1631 | - | - | - |
| 0.6061 | 79100 | 1.1197 | - | - | - |
| 0.6069 | 79200 | 1.1409 | - | - | - |
| 0.6077 | 79300 | 1.1452 | - | - | - |
| 0.6084 | 79400 | 1.1731 | - | - | - |
| 0.6092 | 79500 | 1.152 | - | - | - |
| 0.6100 | 79600 | 1.2185 | - | - | - |
| 0.6107 | 79700 | 1.1443 | - | - | - |
| 0.6115 | 79800 | 1.1746 | - | - | - |
| 0.6123 | 79900 | 1.1176 | - | - | - |
| 0.6130 | 80000 | 1.1944 | 1.1048 | 0.7202 | - |
| 0.6138 | 80100 | 1.1751 | - | - | - |
| 0.6145 | 80200 | 1.2293 | - | - | - |
| 0.6153 | 80300 | 1.1731 | - | - | - |
| 0.6161 | 80400 | 1.1711 | - | - | - |
| 0.6168 | 80500 | 1.1819 | - | - | - |
| 0.6176 | 80600 | 1.1692 | - | - | - |
| 0.6184 | 80700 | 1.1536 | - | - | - |
| 0.6191 | 80800 | 1.1936 | - | - | - |
| 0.6199 | 80900 | 1.1829 | - | - | - |
| 0.6207 | 81000 | 1.1719 | - | - | - |
| 0.6214 | 81100 | 1.2001 | - | - | - |
| 0.6222 | 81200 | 1.1501 | - | - | - |
| 0.6230 | 81300 | 1.1463 | - | - | - |
| 0.6237 | 81400 | 1.1487 | - | - | - |
| 0.6245 | 81500 | 1.1625 | - | - | - |
| 0.6253 | 81600 | 1.1482 | - | - | - |
| 0.6260 | 81700 | 1.147 | - | - | - |
| 0.6268 | 81800 | 1.1497 | - | - | - |
| 0.6276 | 81900 | 1.1446 | - | - | - |
| 0.6283 | 82000 | 1.1701 | 1.1050 | 0.7162 | - |
| 0.6291 | 82100 | 1.0952 | - | - | - |
| 0.6299 | 82200 | 1.1361 | - | - | - |
| 0.6306 | 82300 | 1.1584 | - | - | - |
| 0.6314 | 82400 | 1.1553 | - | - | - |
| 0.6322 | 82500 | 1.1621 | - | - | - |
| 0.6329 | 82600 | 1.1685 | - | - | - |
| 0.6337 | 82700 | 1.1698 | - | - | - |
| 0.6345 | 82800 | 1.1936 | - | - | - |
| 0.6352 | 82900 | 1.1631 | - | - | - |
| 0.6360 | 83000 | 1.1443 | - | - | - |
| 0.6368 | 83100 | 1.1511 | - | - | - |
| 0.6375 | 83200 | 1.1565 | - | - | - |
| 0.6383 | 83300 | 1.1384 | - | - | - |
| 0.6391 | 83400 | 1.1279 | - | - | - |
| 0.6398 | 83500 | 1.1306 | - | - | - |
| 0.6406 | 83600 | 1.1461 | - | - | - |
| 0.6414 | 83700 | 1.1621 | - | - | - |
| 0.6421 | 83800 | 1.1153 | - | - | - |
| 0.6429 | 83900 | 1.0626 | - | - | - |
| 0.6437 | 84000 | 1.1729 | 1.0598 | 0.724 | - |
| 0.6444 | 84100 | 1.1122 | - | - | - |
| 0.6452 | 84200 | 1.0985 | - | - | - |
| 0.6460 | 84300 | 1.1135 | - | - | - |
| 0.6467 | 84400 | 1.1886 | - | - | - |
| 0.6475 | 84500 | 1.1443 | - | - | - |
| 0.6483 | 84600 | 1.1627 | - | - | - |
| 0.6490 | 84700 | 1.088 | - | - | - |
| 0.6498 | 84800 | 1.1294 | - | - | - |
| 0.6506 | 84900 | 1.1251 | - | - | - |
| 0.6513 | 85000 | 1.1218 | - | - | - |
| 0.6521 | 85100 | 1.1628 | - | - | - |
| 0.6529 | 85200 | 1.1177 | - | - | - |
| 0.6536 | 85300 | 1.1522 | - | - | - |
| 0.6544 | 85400 | 1.1203 | - | - | - |
| 0.6552 | 85500 | 1.06 | - | - | - |
| 0.6559 | 85600 | 1.1197 | - | - | - |
| 0.6567 | 85700 | 1.109 | - | - | - |
| 0.6575 | 85800 | 1.0544 | - | - | - |
| 0.6582 | 85900 | 1.0987 | - | - | - |
| 0.6590 | 86000 | 1.0792 | 1.1465 | 0.7206 | - |
| 0.6598 | 86100 | 1.1276 | - | - | - |
| 0.6605 | 86200 | 1.099 | - | - | - |
| 0.6613 | 86300 | 1.1688 | - | - | - |
| 0.6621 | 86400 | 1.0562 | - | - | - |
| 0.6628 | 86500 | 1.0725 | - | - | - |
| 0.6636 | 86600 | 1.1031 | - | - | - |
| 0.6644 | 86700 | 1.0967 | - | - | - |
| 0.6651 | 86800 | 1.063 | - | - | - |
| 0.6659 | 86900 | 1.0409 | - | - | - |
| 0.6667 | 87000 | 1.1811 | - | - | - |
| 0.6674 | 87100 | 1.1475 | - | - | - |
| 0.6682 | 87200 | 1.0248 | - | - | - |
| 0.6690 | 87300 | 1.0646 | - | - | - |
| 0.6697 | 87400 | 1.0778 | - | - | - |
| 0.6705 | 87500 | 1.0745 | - | - | - |
| 0.6713 | 87600 | 1.0975 | - | - | - |
| 0.6720 | 87700 | 1.0581 | - | - | - |
| 0.6728 | 87800 | 1.0377 | - | - | - |
| 0.6736 | 87900 | 1.1017 | - | - | - |
| 0.6743 | 88000 | 1.0689 | 1.1524 | 0.7198 | - |
| 0.6751 | 88100 | 1.1284 | - | - | - |
| 0.6759 | 88200 | 1.0736 | - | - | - |
| 0.6766 | 88300 | 1.0742 | - | - | - |
| 0.6774 | 88400 | 1.1067 | - | - | - |
| 0.6782 | 88500 | 1.0623 | - | - | - |
| 0.6789 | 88600 | 1.0904 | - | - | - |
| 0.6797 | 88700 | 1.0958 | - | - | - |
| 0.6804 | 88800 | 1.0329 | - | - | - |
| 0.6812 | 88900 | 1.0613 | - | - | - |
| 0.6820 | 89000 | 1.0771 | - | - | - |
| 0.6827 | 89100 | 1.0558 | - | - | - |
| 0.6835 | 89200 | 1.0439 | - | - | - |
| 0.6843 | 89300 | 1.049 | - | - | - |
| 0.6850 | 89400 | 1.0905 | - | - | - |
| 0.6858 | 89500 | 1.0629 | - | - | - |
| 0.6866 | 89600 | 1.0661 | - | - | - |
| 0.6873 | 89700 | 1.1135 | - | - | - |
| 0.6881 | 89800 | 1.0671 | - | - | - |
| 0.6889 | 89900 | 1.0554 | - | - | - |
| 0.6896 | 90000 | 1.0414 | 0.9706 | 0.7508 | - |
| 0.6904 | 90100 | 1.028 | - | - | - |
| 0.6912 | 90200 | 1.0442 | - | - | - |
| 0.6919 | 90300 | 1.0573 | - | - | - |
| 0.6927 | 90400 | 1.0233 | - | - | - |
| 0.6935 | 90500 | 1.0326 | - | - | - |
| 0.6942 | 90600 | 1.0188 | - | - | - |
| 0.6950 | 90700 | 1.0358 | - | - | - |
| 0.6958 | 90800 | 1.0623 | - | - | - |
| 0.6965 | 90900 | 0.9863 | - | - | - |
| 0.6973 | 91000 | 1.0535 | - | - | - |
| 0.6981 | 91100 | 1.0135 | - | - | - |
| 0.6988 | 91200 | 1.1006 | - | - | - |
| 0.6996 | 91300 | 1.0666 | - | - | - |
| 0.7004 | 91400 | 0.9967 | - | - | - |
| 0.7011 | 91500 | 1.0445 | - | - | - |
| 0.7019 | 91600 | 1.0351 | - | - | - |
| 0.7027 | 91700 | 1.0524 | - | - | - |
| 0.7034 | 91800 | 1.0272 | - | - | - |
| 0.7042 | 91900 | 1.0171 | - | - | - |
| 0.7050 | 92000 | 1.0912 | 1.1023 | 0.725 | - |
| 0.7057 | 92100 | 1.0064 | - | - | - |
| 0.7065 | 92200 | 1.0634 | - | - | - |
| 0.7073 | 92300 | 1.0212 | - | - | - |
| 0.7080 | 92400 | 1.0396 | - | - | - |
| 0.7088 | 92500 | 1.0301 | - | - | - |
| 0.7096 | 92600 | 1.0441 | - | - | - |
| 0.7103 | 92700 | 1.0298 | - | - | - |
| 0.7111 | 92800 | 1.0597 | - | - | - |
| 0.7119 | 92900 | 1.0236 | - | - | - |
| 0.7126 | 93000 | 1.0165 | - | - | - |
| 0.7134 | 93100 | 1.0502 | - | - | - |
| 0.7142 | 93200 | 1.0019 | - | - | - |
| 0.7149 | 93300 | 1.024 | - | - | - |
| 0.7157 | 93400 | 1.0316 | - | - | - |
| 0.7165 | 93500 | 1.019 | - | - | - |
| 0.7172 | 93600 | 1.0441 | - | - | - |
| 0.7180 | 93700 | 0.9956 | - | - | - |
| 0.7188 | 93800 | 1.0471 | - | - | - |
| 0.7195 | 93900 | 1.0043 | - | - | - |
| 0.7203 | 94000 | 0.988 | 1.2226 | 0.7072 | - |
| 0.7211 | 94100 | 1.0491 | - | - | - |
| 0.7218 | 94200 | 0.9958 | - | - | - |
| 0.7226 | 94300 | 1.0438 | - | - | - |
| 0.7234 | 94400 | 1.0214 | - | - | - |
| 0.7241 | 94500 | 1.0251 | - | - | - |
| 0.7249 | 94600 | 0.9478 | - | - | - |
| 0.7257 | 94700 | 1.0485 | - | - | - |
| 0.7264 | 94800 | 0.9732 | - | - | - |
| 0.7272 | 94900 | 0.9509 | - | - | - |
| 0.7280 | 95000 | 1.0087 | - | - | - |
| 0.7287 | 95100 | 1.0122 | - | - | - |
| 0.7295 | 95200 | 1.0374 | - | - | - |
| 0.7303 | 95300 | 0.9906 | - | - | - |
| 0.7310 | 95400 | 1.0056 | - | - | - |
| 0.7318 | 95500 | 1.0247 | - | - | - |
| 0.7326 | 95600 | 1.0125 | - | - | - |
| 0.7333 | 95700 | 0.9832 | - | - | - |
| 0.7341 | 95800 | 0.9603 | - | - | - |
| 0.7349 | 95900 | 1.0088 | - | - | - |
| 0.7356 | 96000 | 0.994 | 1.1378 | 0.7204 | - |
| 0.7364 | 96100 | 0.9937 | - | - | - |
| 0.7372 | 96200 | 1.0542 | - | - | - |
| 0.7379 | 96300 | 0.9718 | - | - | - |
| 0.7387 | 96400 | 0.9873 | - | - | - |
| 0.7395 | 96500 | 1.0182 | - | - | - |
| 0.7402 | 96600 | 1.0015 | - | - | - |
| 0.7410 | 96700 | 1.0489 | - | - | - |
| 0.7418 | 96800 | 1.0042 | - | - | - |
| 0.7425 | 96900 | 1.0933 | - | - | - |
| 0.7433 | 97000 | 0.9977 | - | - | - |
| 0.7440 | 97100 | 0.9944 | - | - | - |
| 0.7448 | 97200 | 1.039 | - | - | - |
| 0.7456 | 97300 | 0.9722 | - | - | - |
| 0.7463 | 97400 | 1.0472 | - | - | - |
| 0.7471 | 97500 | 0.9454 | - | - | - |
| 0.7479 | 97600 | 0.9808 | - | - | - |
| 0.7486 | 97700 | 0.9875 | - | - | - |
| 0.7494 | 97800 | 1.0396 | - | - | - |
| 0.7502 | 97900 | 0.9982 | - | - | - |
| 0.7509 | 98000 | 0.968 | 1.1959 | 0.6948 | - |
| 0.7517 | 98100 | 1.0557 | - | - | - |
| 0.7525 | 98200 | 0.9831 | - | - | - |
| 0.7532 | 98300 | 0.9735 | - | - | - |
| 0.7540 | 98400 | 1.0383 | - | - | - |
| 0.7548 | 98500 | 0.9509 | - | - | - |
| 0.7555 | 98600 | 0.9619 | - | - | - |
| 0.7563 | 98700 | 0.9943 | - | - | - |
| 0.7571 | 98800 | 0.961 | - | - | - |
| 0.7578 | 98900 | 0.9769 | - | - | - |
| 0.7586 | 99000 | 1.0056 | - | - | - |
| 0.7594 | 99100 | 1.0257 | - | - | - |
| 0.7601 | 99200 | 0.9277 | - | - | - |
| 0.7609 | 99300 | 0.947 | - | - | - |
| 0.7617 | 99400 | 0.9904 | - | - | - |
| 0.7624 | 99500 | 0.955 | - | - | - |
| 0.7632 | 99600 | 0.9978 | - | - | - |
| 0.7640 | 99700 | 0.938 | - | - | - |
| 0.7647 | 99800 | 0.9999 | - | - | - |
| 0.7655 | 99900 | 0.988 | - | - | - |
| 0.7663 | 100000 | 0.986 | 1.1583 | 0.7184 | - |
| 0.7670 | 100100 | 1.0122 | - | - | - |
| 0.7678 | 100200 | 0.9872 | - | - | - |
| 0.7686 | 100300 | 0.9829 | - | - | - |
| 0.7693 | 100400 | 0.9791 | - | - | - |
| 0.7701 | 100500 | 1.0423 | - | - | - |
| 0.7709 | 100600 | 0.9619 | - | - | - |
| 0.7716 | 100700 | 0.9736 | - | - | - |
| 0.7724 | 100800 | 0.9769 | - | - | - |
| 0.7732 | 100900 | 0.9629 | - | - | - |
| 0.7739 | 101000 | 1.0041 | - | - | - |
| 0.7747 | 101100 | 0.9206 | - | - | - |
| 0.7755 | 101200 | 0.9799 | - | - | - |
| 0.7762 | 101300 | 0.9833 | - | - | - |
| 0.7770 | 101400 | 0.9734 | - | - | - |
| 0.7778 | 101500 | 1.0135 | - | - | - |
| 0.7785 | 101600 | 0.9531 | - | - | - |
| 0.7793 | 101700 | 0.964 | - | - | - |
| 0.7801 | 101800 | 0.9997 | - | - | - |
| 0.7808 | 101900 | 0.9935 | - | - | - |
| 0.7816 | 102000 | 0.9955 | 1.1245 | 0.7108 | - |
| 0.7824 | 102100 | 1.0063 | - | - | - |
| 0.7831 | 102200 | 0.9694 | - | - | - |
| 0.7839 | 102300 | 1.0218 | - | - | - |
| 0.7847 | 102400 | 0.9829 | - | - | - |
| 0.7854 | 102500 | 0.9296 | - | - | - |
| 0.7862 | 102600 | 0.9445 | - | - | - |
| 0.7870 | 102700 | 1.0018 | - | - | - |
| 0.7877 | 102800 | 0.9922 | - | - | - |
| 0.7885 | 102900 | 0.9909 | - | - | - |
| 0.7893 | 103000 | 1.0044 | - | - | - |
| 0.7900 | 103100 | 0.9517 | - | - | - |
| 0.7908 | 103200 | 0.9839 | - | - | - |
| 0.7916 | 103300 | 0.9815 | - | - | - |
| 0.7923 | 103400 | 0.9659 | - | - | - |
| 0.7931 | 103500 | 0.9523 | - | - | - |
| 0.7939 | 103600 | 0.9765 | - | - | - |
| 0.7946 | 103700 | 0.9637 | - | - | - |
| 0.7954 | 103800 | 0.9755 | - | - | - |
| 0.7962 | 103900 | 0.9678 | - | - | - |
| 0.7969 | 104000 | 0.9523 | 1.1226 | 0.7162 | - |
| 0.7977 | 104100 | 0.9122 | - | - | - |
| 0.7985 | 104200 | 0.9592 | - | - | - |
| 0.7992 | 104300 | 0.9193 | - | - | - |
| 0.8000 | 104400 | 0.9978 | - | - | - |
| 0.8008 | 104500 | 0.9319 | - | - | - |
| 0.8015 | 104600 | 0.9774 | - | - | - |
| 0.8023 | 104700 | 0.9367 | - | - | - |
| 0.8031 | 104800 | 1.0004 | - | - | - |
| 0.8038 | 104900 | 0.9217 | - | - | - |
| 0.8046 | 105000 | 0.9178 | - | - | - |
| 0.8054 | 105100 | 0.9663 | - | - | - |
| 0.8061 | 105200 | 0.954 | - | - | - |
| 0.8069 | 105300 | 0.9788 | - | - | - |
| 0.8077 | 105400 | 0.9637 | - | - | - |
| 0.8084 | 105500 | 0.943 | - | - | - |
| 0.8092 | 105600 | 0.9638 | - | - | - |
| 0.8099 | 105700 | 0.9842 | - | - | - |
| 0.8107 | 105800 | 0.9395 | - | - | - |
| 0.8115 | 105900 | 0.9389 | - | - | - |
| 0.8122 | 106000 | 0.9854 | 1.3013 | 0.6852 | - |
| 0.8130 | 106100 | 0.9753 | - | - | - |
| 0.8138 | 106200 | 0.9149 | - | - | - |
| 0.8145 | 106300 | 0.9607 | - | - | - |
| 0.8153 | 106400 | 0.9677 | - | - | - |
| 0.8161 | 106500 | 0.9344 | - | - | - |
| 0.8168 | 106600 | 0.9421 | - | - | - |
| 0.8176 | 106700 | 0.9477 | - | - | - |
| 0.8184 | 106800 | 0.8942 | - | - | - |
| 0.8191 | 106900 | 0.9954 | - | - | - |
| 0.8199 | 107000 | 0.9055 | - | - | - |
| 0.8207 | 107100 | 0.8938 | - | - | - |
| 0.8214 | 107200 | 0.9232 | - | - | - |
| 0.8222 | 107300 | 0.9558 | - | - | - |
| 0.8230 | 107400 | 0.9662 | - | - | - |
| 0.8237 | 107500 | 0.9581 | - | - | - |
| 0.8245 | 107600 | 0.9284 | - | - | - |
| 0.8253 | 107700 | 0.954 | - | - | - |
| 0.8260 | 107800 | 0.9625 | - | - | - |
| 0.8268 | 107900 | 0.9435 | - | - | - |
| 0.8276 | 108000 | 0.9776 | 1.2523 | 0.7004 | - |
| 0.8283 | 108100 | 0.9071 | - | - | - |
| 0.8291 | 108200 | 0.9719 | - | - | - |
| 0.8299 | 108300 | 0.9507 | - | - | - |
| 0.8306 | 108400 | 0.934 | - | - | - |
| 0.8314 | 108500 | 0.9362 | - | - | - |
| 0.8322 | 108600 | 0.8922 | - | - | - |
| 0.8329 | 108700 | 0.9779 | - | - | - |
| 0.8337 | 108800 | 0.8624 | - | - | - |
| 0.8345 | 108900 | 0.9046 | - | - | - |
| 0.8352 | 109000 | 0.9152 | - | - | - |
| 0.8360 | 109100 | 0.933 | - | - | - |
| 0.8368 | 109200 | 0.9054 | - | - | - |
| 0.8375 | 109300 | 0.9383 | - | - | - |
| 0.8383 | 109400 | 0.9204 | - | - | - |
| 0.8391 | 109500 | 0.8786 | - | - | - |
| 0.8398 | 109600 | 0.933 | - | - | - |
| 0.8406 | 109700 | 0.8507 | - | - | - |
| 0.8414 | 109800 | 0.8931 | - | - | - |
| 0.8421 | 109900 | 0.9045 | - | - | - |
| 0.8429 | 110000 | 0.926 | 1.2050 | 0.7128 | - |
| 0.8437 | 110100 | 0.9332 | - | - | - |
| 0.8444 | 110200 | 0.9144 | - | - | - |
| 0.8452 | 110300 | 0.8979 | - | - | - |
| 0.8460 | 110400 | 0.9142 | - | - | - |
| 0.8467 | 110500 | 0.8362 | - | - | - |
| 0.8475 | 110600 | 0.9579 | - | - | - |
| 0.8483 | 110700 | 0.8762 | - | - | - |
| 0.8490 | 110800 | 0.8719 | - | - | - |
| 0.8498 | 110900 | 0.9494 | - | - | - |
| 0.8506 | 111000 | 0.8743 | - | - | - |
| 0.8513 | 111100 | 0.9266 | - | - | - |
| 0.8521 | 111200 | 0.8943 | - | - | - |
| 0.8529 | 111300 | 0.908 | - | - | - |
| 0.8536 | 111400 | 0.8316 | - | - | - |
| 0.8544 | 111500 | 0.8574 | - | - | - |
| 0.8552 | 111600 | 0.8587 | - | - | - |
| 0.8559 | 111700 | 0.8862 | - | - | - |
| 0.8567 | 111800 | 0.8303 | - | - | - |
| 0.8575 | 111900 | 0.8252 | - | - | - |
| 0.8582 | 112000 | 0.8726 | 1.2884 | 0.704 | - |
| 0.8590 | 112100 | 0.8788 | - | - | - |
| 0.8598 | 112200 | 0.8197 | - | - | - |
| 0.8605 | 112300 | 0.8406 | - | - | - |
| 0.8613 | 112400 | 0.8634 | - | - | - |
| 0.8621 | 112500 | 0.8347 | - | - | - |
| 0.8628 | 112600 | 0.8558 | - | - | - |
| 0.8636 | 112700 | 0.8313 | - | - | - |
| 0.8644 | 112800 | 0.8221 | - | - | - |
| 0.8651 | 112900 | 0.8508 | - | - | - |
| 0.8659 | 113000 | 0.8214 | - | - | - |
| 0.8667 | 113100 | 0.8185 | - | - | - |
| 0.8674 | 113200 | 0.8198 | - | - | - |
| 0.8682 | 113300 | 0.8681 | - | - | - |
| 0.8690 | 113400 | 0.8676 | - | - | - |
| 0.8697 | 113500 | 0.838 | - | - | - |
| 0.8705 | 113600 | 0.8215 | - | - | - |
| 0.8713 | 113700 | 0.8468 | - | - | - |
| 0.8720 | 113800 | 0.807 | - | - | - |
| 0.8728 | 113900 | 0.8392 | - | - | - |
| 0.8735 | 114000 | 0.8318 | 1.2201 | 0.7272 | - |
| 0.8743 | 114100 | 0.824 | - | - | - |
| 0.8751 | 114200 | 0.7816 | - | - | - |
| 0.8758 | 114300 | 0.8095 | - | - | - |
| 0.8766 | 114400 | 0.8412 | - | - | - |
| 0.8774 | 114500 | 0.8514 | - | - | - |
| 0.8781 | 114600 | 0.836 | - | - | - |
| 0.8789 | 114700 | 0.8375 | - | - | - |
| 0.8797 | 114800 | 0.8267 | - | - | - |
| 0.8804 | 114900 | 0.7925 | - | - | - |
| 0.8812 | 115000 | 0.7948 | - | - | - |
| 0.8820 | 115100 | 0.7908 | - | - | - |
| 0.8827 | 115200 | 0.8092 | - | - | - |
| 0.8835 | 115300 | 0.7942 | - | - | - |
| 0.8843 | 115400 | 0.7551 | - | - | - |
| 0.8850 | 115500 | 0.7717 | - | - | - |
| 0.8858 | 115600 | 0.764 | - | - | - |
| 0.8866 | 115700 | 0.8025 | - | - | - |
| 0.8873 | 115800 | 0.8182 | - | - | - |
| 0.8881 | 115900 | 0.7158 | - | - | - |
| 0.8889 | 116000 | 0.7632 | 1.2520 | 0.7258 | - |
| 0.8896 | 116100 | 0.7593 | - | - | - |
| 0.8904 | 116200 | 0.8032 | - | - | - |
| 0.8912 | 116300 | 0.7809 | - | - | - |
| 0.8919 | 116400 | 0.7251 | - | - | - |
| 0.8927 | 116500 | 0.802 | - | - | - |
| 0.8935 | 116600 | 0.7949 | - | - | - |
| 0.8942 | 116700 | 0.7827 | - | - | - |
| 0.8950 | 116800 | 0.79 | - | - | - |
| 0.8958 | 116900 | 0.7668 | - | - | - |
| 0.8965 | 117000 | 0.8076 | - | - | - |
| 0.8973 | 117100 | 0.7533 | - | - | - |
| 0.8981 | 117200 | 0.752 | - | - | - |
| 0.8988 | 117300 | 0.7225 | - | - | - |
| 0.8996 | 117400 | 0.7694 | - | - | - |
| 0.9004 | 117500 | 0.7941 | - | - | - |
| 0.9011 | 117600 | 0.7548 | - | - | - |
| 0.9019 | 117700 | 0.7617 | - | - | - |
| 0.9027 | 117800 | 0.7693 | - | - | - |
| 0.9034 | 117900 | 0.7304 | - | - | - |
| 0.9042 | 118000 | 0.7955 | 1.2687 | 0.7324 | - |
| 0.9050 | 118100 | 0.7567 | - | - | - |
| 0.9057 | 118200 | 0.7253 | - | - | - |
| 0.9065 | 118300 | 0.756 | - | - | - |
| 0.9073 | 118400 | 0.7583 | - | - | - |
| 0.9080 | 118500 | 0.7559 | - | - | - |
| 0.9088 | 118600 | 0.7462 | - | - | - |
| 0.9096 | 118700 | 0.7433 | - | - | - |
| 0.9103 | 118800 | 0.7701 | - | - | - |
| 0.9111 | 118900 | 0.7541 | - | - | - |
| 0.9119 | 119000 | 0.7084 | - | - | - |
| 0.9126 | 119100 | 0.7207 | - | - | - |
| 0.9134 | 119200 | 0.7435 | - | - | - |
| 0.9142 | 119300 | 0.7528 | - | - | - |
| 0.9149 | 119400 | 0.7179 | - | - | - |
| 0.9157 | 119500 | 0.7276 | - | - | - |
| 0.9165 | 119600 | 0.7307 | - | - | - |
| 0.9172 | 119700 | 0.7484 | - | - | - |
| 0.9180 | 119800 | 1.1472 | - | - | - |
| 0.9188 | 119900 | 1.318 | - | - | - |
| 0.9195 | 120000 | 1.4042 | 1.2499 | 0.7238 | - |
| 0.9203 | 120100 | 1.2455 | - | - | - |
| 0.9211 | 120200 | 1.3026 | - | - | - |
| 0.9218 | 120300 | 1.0223 | - | - | - |
| 0.9226 | 120400 | 1.0531 | - | - | - |
| 0.9234 | 120500 | 1.1072 | - | - | - |
| 0.9241 | 120600 | 1.0879 | - | - | - |
| 0.9249 | 120700 | 1.0663 | - | - | - |
| 0.9257 | 120800 | 0.9457 | - | - | - |
| 0.9264 | 120900 | 1.1087 | - | - | - |
| 0.9272 | 121000 | 1.0896 | - | - | - |
| 0.9280 | 121100 | 1.0722 | - | - | - |
| 0.9287 | 121200 | 1.0552 | - | - | - |
| 0.9295 | 121300 | 1.1524 | - | - | - |
| 0.9303 | 121400 | 1.0925 | - | - | - |
| 0.9310 | 121500 | 1.0797 | - | - | - |
| 0.9318 | 121600 | 1.0849 | - | - | - |
| 0.9326 | 121700 | 1.0821 | - | - | - |
| 0.9333 | 121800 | 1.0373 | - | - | - |
| 0.9341 | 121900 | 1.1126 | - | - | - |
| 0.9349 | 122000 | 1.1339 | 1.2329 | 0.7186 | - |
| 0.9356 | 122100 | 1.1165 | - | - | - |
| 0.9364 | 122200 | 1.0295 | - | - | - |
| 0.9372 | 122300 | 0.9693 | - | - | - |
| 0.9379 | 122400 | 0.9914 | - | - | - |
| 0.9387 | 122500 | 0.9932 | - | - | - |
| 0.9394 | 122600 | 0.9796 | - | - | - |
| 0.9402 | 122700 | 0.9148 | - | - | - |
| 0.9410 | 122800 | 1.0079 | - | - | - |
| 0.9417 | 122900 | 0.9644 | - | - | - |
| 0.9425 | 123000 | 0.975 | - | - | - |
| 0.9433 | 123100 | 0.9657 | - | - | - |
| 0.9440 | 123200 | 0.944 | - | - | - |
| 0.9448 | 123300 | 1.0591 | - | - | - |
| 0.9456 | 123400 | 1.0175 | - | - | - |
| 0.9463 | 123500 | 0.9659 | - | - | - |
| 0.9471 | 123600 | 1.0315 | - | - | - |
| 0.9479 | 123700 | 0.9716 | - | - | - |
| 0.9486 | 123800 | 0.9887 | - | - | - |
| 0.9494 | 123900 | 0.9873 | - | - | - |
| 0.9502 | 124000 | 1.006 | 1.2707 | 0.7128 | - |
| 0.9509 | 124100 | 0.978 | - | - | - |
| 0.9517 | 124200 | 0.9194 | - | - | - |
| 0.9525 | 124300 | 0.8852 | - | - | - |
| 0.9532 | 124400 | 0.9265 | - | - | - |
| 0.9540 | 124500 | 0.956 | - | - | - |
| 0.9548 | 124600 | 0.87 | - | - | - |
| 0.9555 | 124700 | 0.8636 | - | - | - |
| 0.9563 | 124800 | 0.8749 | - | - | - |
| 0.9571 | 124900 | 0.8762 | - | - | - |
| 0.9578 | 125000 | 0.8432 | - | - | - |
| 0.9586 | 125100 | 0.8887 | - | - | - |
| 0.9594 | 125200 | 0.9097 | - | - | - |
| 0.9601 | 125300 | 0.823 | - | - | - |
| 0.9609 | 125400 | 0.8976 | - | - | - |
| 0.9617 | 125500 | 1.1025 | - | - | - |
| 0.9624 | 125600 | 0.9468 | - | - | - |
| 0.9632 | 125700 | 0.9733 | - | - | - |
| 0.9640 | 125800 | 0.9353 | - | - | - |
| 0.9647 | 125900 | 0.8633 | - | - | - |
| 0.9655 | 126000 | 0.9196 | 1.2893 | 0.7106 | - |
| 0.9663 | 126100 | 0.8514 | - | - | - |
| 0.9670 | 126200 | 0.8513 | - | - | - |
| 0.9678 | 126300 | 0.8597 | - | - | - |
| 0.9686 | 126400 | 0.929 | - | - | - |
| 0.9693 | 126500 | 0.9397 | - | - | - |
| 0.9701 | 126600 | 1.1423 | - | - | - |
| 0.9709 | 126700 | 1.0804 | - | - | - |
| 0.9716 | 126800 | 1.035 | - | - | - |
| 0.9724 | 126900 | 1.046 | - | - | - |
| 0.9732 | 127000 | 1.0308 | - | - | - |
| 0.9739 | 127100 | 0.985 | - | - | - |
| 0.9747 | 127200 | 1.0493 | - | - | - |
| 0.9755 | 127300 | 1.6257 | - | - | - |
| 0.9762 | 127400 | 0.9725 | - | - | - |
| 0.9770 | 127500 | 0.907 | - | - | - |
| 0.9778 | 127600 | 0.7219 | - | - | - |
| 0.9785 | 127700 | 0.7454 | - | - | - |
| 0.9793 | 127800 | 0.8149 | - | - | - |
| 0.9801 | 127900 | 0.6161 | - | - | - |
| 0.9808 | 128000 | 0.6559 | 1.3419 | 0.7106 | - |
| 0.9816 | 128100 | 0.6442 | - | - | - |
| 0.9824 | 128200 | 0.6461 | - | - | - |
| 0.9831 | 128300 | 0.7225 | - | - | - |
| 0.9839 | 128400 | 0.7092 | - | - | - |
| 0.9847 | 128500 | 0.7962 | - | - | - |
| 0.9854 | 128600 | 0.6362 | - | - | - |
| 0.9862 | 128700 | 0.815 | - | - | - |
| 0.9870 | 128800 | 0.7114 | - | - | - |
| 0.9877 | 128900 | 0.699 | - | - | - |
| 0.9885 | 129000 | 0.6741 | - | - | - |
| 0.9893 | 129100 | 0.5924 | - | - | - |
| 0.9900 | 129200 | 0.6305 | - | - | - |
| 0.9908 | 129300 | 0.9403 | - | - | - |
| 0.9916 | 129400 | 0.6837 | - | - | - |
| 0.9923 | 129500 | 0.8546 | - | - | - |
| 0.9931 | 129600 | 0.9752 | - | - | - |
| 0.9939 | 129700 | 0.9003 | - | - | - |
| 0.9946 | 129800 | 0.9449 | - | - | - |
| 0.9954 | 129900 | 0.871 | - | - | - |
| 0.9962 | 130000 | 0.7516 | 1.3455 | 0.7102 | - |
| 0.9969 | 130100 | 0.9024 | - | - | - |
| 0.9977 | 130200 | 0.8981 | - | - | - |
| 0.9985 | 130300 | 1.247 | - | - | - |
| 0.9992 | 130400 | 0.9558 | - | - | - |
| 1.0000 | 130500 | 0.9919 | - | - | - |
| 1.0 | 130502 | - | - | - | 0.67 |
</details>
### Framework Versions
- Python: 3.10.12
- Sentence Transformers: 3.3.1
- Transformers: 4.48.0.dev0
- PyTorch: 2.5.1+cu124
- Accelerate: 1.2.1
- Datasets: 3.2.0
- Tokenizers: 0.21.0
## Citation
### BibTeX
#### Sentence Transformers
```bibtex
@inproceedings{reimers-2019-sentence-bert,
title = "Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks",
author = "Reimers, Nils and Gurevych, Iryna",
booktitle = "Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing",
month = "11",
year = "2019",
publisher = "Association for Computational Linguistics",
url = "https://arxiv.org/abs/1908.10084",
}
```
#### 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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