|
--- |
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base_model: FacebookAI/xlm-roberta-large |
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library_name: sentence-transformers |
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metrics: |
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- pearson_cosine |
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- spearman_cosine |
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- pearson_manhattan |
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- spearman_manhattan |
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- pearson_euclidean |
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- spearman_euclidean |
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- pearson_dot |
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- spearman_dot |
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- pearson_max |
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- spearman_max |
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pipeline_tag: sentence-similarity |
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tags: |
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- sentence-transformers |
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- sentence-similarity |
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- feature-extraction |
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- generated_from_trainer |
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- dataset_size:525972 |
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- loss:MatryoshkaLoss |
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- loss:MultipleNegativesRankingLoss |
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widget: |
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- source_sentence: ثلاثة كلاب، واحد منهم لديه كرة زرقاء. |
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sentences: |
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- هناك ثلاثة حيوانات. |
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- كل ثلاثة كلاب لديهم ألعاب حمراء |
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- أنثى تلعب كرة القدم |
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- source_sentence: نسبة الكوليسترول في غمد الميالين |
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sentences: |
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- العديد من الخلايا الدبقية التي تصطف على طول محور عصبي مطلوبة لتكوين الميالين بالكامل |
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وعزل خلية عصبية طويلة. يتكون المايلين من حوالي 30٪ بروتين و 27٪ كوليسترول و 43٪ |
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فوسفوليبيد ، ويعتمد إنتاج المايلين بشكل كامل على تخليق الكوليسترول في الخلايا |
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الدبقية. مادة دهنية تحيط بأجزاء طويلة من الألياف العصبية. الميالين يعزل الخلايا |
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العصبية ويعزز مرور الإشارات الكهربائية في جميع أنحاء دائرة جهازك العصبي. |
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- جزء من لفافة عنق الرحم يحيط بالشريان السباتي والوريد الوداجي الداخلي والعصب المبهم |
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أو العصب الودي المبهم. الوتر الرسغي. أغماد لأوتار العضلات التي تتحرك فوق الرسغ. |
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غمد مغزلي. غمد عظم الفخذ. الاستثمار الخارجي للعصب البصري. غمد الفخذ. الغمد اللفافي |
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لأوعية الفخذ. غمد هنلي. endoneurium ، وخاصة الاستمرارية الدقيقة حول الفروع الطرفية |
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للألياف العصبية. غمد رقائقي. العجان. |
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- تتضمن البيانات، عند الاقتضاء، مقاييس الأداء. |
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- source_sentence: قد تتأثر تقديرات مخاطر وفيات الأوزون على المدى القصير أيضًا بالمسألة |
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الإحصائية التي اكتشفها معهد الآثار الصحية (Greenbaum, 2002a). |
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sentences: |
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- لم يجد معهد الآثار الصحية أي مشاكل في تقييم مخاطر وفيات الأوزون على المدى القصير |
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- قد ينتج عن الصداع النصفي والصداع العنقودي ألمًا شديدًا من جانب واحد ، ولكن على |
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عكس ألم العصب الثلاثي التوائم ، لا تحدث هذه الحالات عن طريق الحركة أو ملامسة الوجه |
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ولا تستجيب على الفور لكاربامازيبين. انظر الجدول 1 أدناه. |
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- اكتشف معهد الآثار الصحية مشكلة إحصائية مع تقييم مخاطر وفيات الأوزون قصيرة الأجل. |
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- source_sentence: الآثار الجانبية فينيليفرين |
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sentences: |
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- يسبب آثارا جانبية عند بعض المرضى. التأثير الجانبي الأكثر شيوعًا هو السعال المستمر. |
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في حين أن معظم الآثار الجانبية لليزينوبريل غير ضارة ، يجب أن تكون على دراية بالآثار |
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الجانبية الخطيرة ، والتي يمكن أن تشير إلى رد فعل تحسسي ، إذا كنت تعاني من أي آثار |
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جانبية ، يجب عليك التحدث إلى طبيبك. ترتبط أحيانًا بانخفاض ضغط الدم (انخفاض ضغط |
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الدم) ، خاصة في بداية العلاج. |
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- تشمل بعض الآثار الجانبية المحتملة لفينيليفرين الدوخة والأرق والصداع. في معظم الحالات |
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، تميل الآثار الجانبية إلى أن تكون طفيفة ويسهل علاجها بشكل عام. |
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- الرجل يلعب كرة السلة |
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- source_sentence: سوق للمنتجات داخل مبنى كبير ذو جدران بيضاء. |
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sentences: |
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- راكب الدراجة مغطى بالطين |
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- سوق المنتجات داخل مبنى صغير أسود الجدران. |
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- السوق يبيع الخضروات. |
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model-index: |
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- name: SentenceTransformer based on FacebookAI/xlm-roberta-large |
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results: |
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- task: |
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type: semantic-similarity |
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name: Semantic Similarity |
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dataset: |
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name: sts dev |
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type: sts-dev |
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metrics: |
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- type: pearson_cosine |
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value: 0.8256350418804052 |
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name: Pearson Cosine |
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- type: spearman_cosine |
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value: 0.827478494281667 |
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name: Spearman Cosine |
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- type: pearson_manhattan |
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value: 0.8228224900306127 |
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name: Pearson Manhattan |
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- type: spearman_manhattan |
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value: 0.8284011632112219 |
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name: Spearman Manhattan |
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- type: pearson_euclidean |
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value: 0.8231973876582674 |
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name: Pearson Euclidean |
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- type: spearman_euclidean |
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value: 0.8288613978074281 |
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name: Spearman Euclidean |
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- type: pearson_dot |
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value: 0.8016573454999604 |
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name: Pearson Dot |
|
- type: spearman_dot |
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value: 0.8004396683364462 |
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name: Spearman Dot |
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- type: pearson_max |
|
value: 0.8256350418804052 |
|
name: Pearson Max |
|
- type: spearman_max |
|
value: 0.8288613978074281 |
|
name: Spearman Max |
|
--- |
|
|
|
# SentenceTransformer based on FacebookAI/xlm-roberta-large |
|
|
|
This is a [sentence-transformers](https://www.SBERT.net) model finetuned from [FacebookAI/xlm-roberta-large](https://huggingface.co/FacebookAI/xlm-roberta-large). It maps sentences & paragraphs to a 1024-dimensional dense vector space and can be used for semantic textual similarity, semantic search, paraphrase mining, text classification, clustering, and more. |
|
|
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## Model Details |
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|
|
### Model Description |
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- **Model Type:** Sentence Transformer |
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- **Base model:** [FacebookAI/xlm-roberta-large](https://huggingface.co/FacebookAI/xlm-roberta-large) <!-- at revision c23d21b0620b635a76227c604d44e43a9f0ee389 --> |
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- **Maximum Sequence Length:** 512 tokens |
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- **Output Dimensionality:** 1024 tokens |
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- **Similarity Function:** Cosine Similarity |
|
<!-- - **Training Dataset:** Unknown --> |
|
<!-- - **Language:** Unknown --> |
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<!-- - **License:** Unknown --> |
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|
|
### Model Sources |
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|
|
- **Documentation:** [Sentence Transformers Documentation](https://sbert.net) |
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- **Repository:** [Sentence Transformers on GitHub](https://github.com/UKPLab/sentence-transformers) |
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- **Hugging Face:** [Sentence Transformers on Hugging Face](https://huggingface.co/models?library=sentence-transformers) |
|
|
|
### Full Model Architecture |
|
|
|
``` |
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SentenceTransformer( |
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(0): Transformer({'max_seq_length': 512, 'do_lower_case': False}) with Transformer model: XLMRobertaModel |
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(1): Pooling({'word_embedding_dimension': 1024, '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}) |
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) |
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``` |
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|
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## Usage |
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|
|
### Direct Usage (Sentence Transformers) |
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|
|
First install the Sentence Transformers library: |
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|
|
```bash |
|
pip install -U sentence-transformers |
|
``` |
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|
|
Then you can load this model and run inference. |
|
```python |
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from sentence_transformers import SentenceTransformer |
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|
|
# Download from the 🤗 Hub |
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model = SentenceTransformer("sentence_transformers_model_id") |
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# Run inference |
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sentences = [ |
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'سوق للمنتجات داخل مبنى كبير ذو جدران بيضاء.', |
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'السوق يبيع الخضروات.', |
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'سوق المنتجات داخل مبنى صغير أسود الجدران.', |
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] |
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embeddings = model.encode(sentences) |
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print(embeddings.shape) |
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# [3, 1024] |
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|
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# Get the similarity scores for the embeddings |
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similarities = model.similarity(embeddings, embeddings) |
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print(similarities.shape) |
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# [3, 3] |
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``` |
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|
|
<!-- |
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### Direct Usage (Transformers) |
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|
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<details><summary>Click to see the direct usage in Transformers</summary> |
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|
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</details> |
|
--> |
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|
|
<!-- |
|
### Downstream Usage (Sentence Transformers) |
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|
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You can finetune this model on your own dataset. |
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|
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<details><summary>Click to expand</summary> |
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|
|
</details> |
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--> |
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|
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<!-- |
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### Out-of-Scope Use |
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|
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*List how the model may foreseeably be misused and address what users ought not to do with the model.* |
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--> |
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|
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## Evaluation |
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|
|
### Metrics |
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|
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#### Semantic Similarity |
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* Dataset: `sts-dev` |
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* Evaluated with [<code>EmbeddingSimilarityEvaluator</code>](https://sbert.net/docs/package_reference/sentence_transformer/evaluation.html#sentence_transformers.evaluation.EmbeddingSimilarityEvaluator) |
|
|
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| Metric | Value | |
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|:--------------------|:-----------| |
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| pearson_cosine | 0.8256 | |
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| **spearman_cosine** | **0.8275** | |
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| pearson_manhattan | 0.8228 | |
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| spearman_manhattan | 0.8284 | |
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| pearson_euclidean | 0.8232 | |
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| spearman_euclidean | 0.8289 | |
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| pearson_dot | 0.8017 | |
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| spearman_dot | 0.8004 | |
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| pearson_max | 0.8256 | |
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| spearman_max | 0.8289 | |
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|
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<!-- |
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## Bias, Risks and Limitations |
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*What are the known or foreseeable issues stemming from this model? You could also flag here known failure cases or weaknesses of the model.* |
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--> |
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<!-- |
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### Recommendations |
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*What are recommendations with respect to the foreseeable issues? For example, filtering explicit content.* |
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--> |
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|
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## Training Details |
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|
|
### Training Dataset |
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|
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#### Unnamed Dataset |
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|
|
|
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* Size: 525,972 training samples |
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* Columns: <code>anchor</code>, <code>positive</code>, and <code>negative</code> |
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* Approximate statistics based on the first 1000 samples: |
|
| | anchor | positive | negative | |
|
|:--------|:----------------------------------------------------------------------------------|:-----------------------------------------------------------------------------------|:-----------------------------------------------------------------------------------| |
|
| type | string | string | string | |
|
| details | <ul><li>min: 4 tokens</li><li>mean: 17.13 tokens</li><li>max: 84 tokens</li></ul> | <ul><li>min: 4 tokens</li><li>mean: 54.94 tokens</li><li>max: 262 tokens</li></ul> | <ul><li>min: 4 tokens</li><li>mean: 52.05 tokens</li><li>max: 236 tokens</li></ul> | |
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* Samples: |
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| anchor | positive | negative | |
|
|:------------------------------------------------------------|:-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------| |
|
| <code>كم عدد دعامات القلب التي يمكن أن يمتلكها الشخص</code> | <code>الدعامة عبارة عن أنبوب مصنوع من شبكة معدنية يتم إدخاله في الشريان للمساعدة في إبقائه مفتوحًا. يتم وضع دعامات القلب أثناء عملية الرأب الوعائي ، ثم تُترك في مكانها ، وهناك نوعان من الدعامات. الدعامات المعدنية العارية هي النوع التقليدي ، وهي مصنوعة فقط من المعدن. مع هذه ، هناك احتمال أن ينسد الشريان بأنسجة ندبة أثناء عملية الشفاء. مع مزيج من عدة شرايين طويلة ، والتي قد يتم تركيبها على طول أطوالها بالكامل ، وإمكانية وضع الدعامات داخل الدعامات ، وكمية الشخص يمكن أن يكون عمليا لا حدود له. ومع ذلك ، فإن وجود الكثير من الدعامات ليس بالأمر الجيد أبدًا.</code> | <code>"حتى لو لم تكن رياضيًا ، فإن المعرفة حول معدل ضربات قلبك يمكن أن تساعدك على مراقبة مستوى لياقتك ¢ Ã' ، وقد تساعدك حتى على اكتشاف التطور. مشاكل صحية. معدل ضربات القلب ، أو النبض ، هو عدد ضربات قلبك في الدقيقة ، ويختلف معدل ضربات القلب الطبيعي من شخص لآخر ، ويمكن أن تكون معرفتك مقياسًا مهمًا لصحة القلب ، حتى لو كنت ¢ ""لست رياضيًا ، يمكن أن تساعدك المعرفة حول معدل ضربات قلبك على مراقبة مستوى لياقتك"" وقد تساعدك حتى على اكتشاف المشاكل الصحية المتطورة. معدل ضربات القلب ، أو النبض ، هو عدد ضربات قلبك في الدقيقة."</code> | |
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| <code>ماذا يعني عندما تكون الوظيفة فردية</code> | <code>يمكن تحديد دالة فردية عن طريق استبدال كل من قيم x و y بقيمتي x و -y. إذا كانت القيم في المعادلة معكوسة (الإيجابيات هي السلبيات والسلبيات هي الإيجابيات) ، فإن الوظيفة تكون فردية. خذ ، على سبيل المثال ، هذه المعادلة y = x ^ 2.</code> | <code>البحث حساس لحالة الأحرف. وظيفة FIND هي وظيفة مضمنة في Excel تم تصنيفها على أنها دالة سلسلة / نص. يمكن استخدامه كدالة في ورقة العمل (WS) في Excel. كدالة في ورقة العمل ، يمكن إدخال الدالة FIND كجزء من صيغة في خلية بورقة عمل. صيغة الدالة FIND في Microsoft Excel هي:</code> | |
|
| <code>رجل أسود مسن يستخدم آلة خياطة على قميص</code> | <code>رجل يستخدم آلة خياطة</code> | <code>رجل أبيض مسن يستخدم آلة خياطة على السراويل</code> | |
|
* Loss: [<code>MatryoshkaLoss</code>](https://sbert.net/docs/package_reference/sentence_transformer/losses.html#matryoshkaloss) with these parameters: |
|
```json |
|
{ |
|
"loss": "MultipleNegativesRankingLoss", |
|
"matryoshka_dims": [ |
|
1024, |
|
768, |
|
512, |
|
256, |
|
128, |
|
64 |
|
], |
|
"matryoshka_weights": [ |
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1, |
|
1, |
|
1, |
|
1, |
|
1, |
|
1 |
|
], |
|
"n_dims_per_step": -1 |
|
} |
|
``` |
|
|
|
### Evaluation Dataset |
|
|
|
#### Unnamed Dataset |
|
|
|
|
|
* Size: 5,313 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: 4 tokens</li><li>mean: 17.5 tokens</li><li>max: 174 tokens</li></ul> | <ul><li>min: 4 tokens</li><li>mean: 53.34 tokens</li><li>max: 294 tokens</li></ul> | <ul><li>min: 4 tokens</li><li>mean: 51.92 tokens</li><li>max: 273 tokens</li></ul> | |
|
* Samples: |
|
| anchor | positive | negative | |
|
|:----------------------------------------|:---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------| |
|
| <code>ما لون شجرة الصنوبر الأحمر</code> | <code>الصنوبر الأحمر (النرويج الصنوبر) الصنوبر resinosa. لحاء هذه الشجرة بني محمر اللون. في الجذوع الأقدم ، ينكسر اللحاء إلى حواف عريضة مسطحة تفصل بينها شقوق ضحلة. غالبًا ما يتم الخلط بين الصنوبر الأحمر والصنوبر النمساوي المقدم ، ولحاء هذه الشجرة بني محمر اللون. في الجذوع الأقدم ، ينكسر اللحاء إلى حواف عريضة مسطحة تفصل بينها شقوق ضحلة.</code> | <code> النسر - رمز القوة ، نسر يظهر في شجرة صنوبر هو هدية مناسبة لرجل أكبر سنًا ، متمنياً له قوة نسر وطول عمر شجرة صنوبر. نسر على صخرة في البحر يرمز إلى البطل الذي يخوض معركة منفردة. الحصان هو رمز القوة والسرعة. ثمانية خيول في لوحة تمثل خيول الملك مو الشهيرة من القرن العاشر قبل الميلاد.</code> | |
|
| <code>امرأة تمشي في شارع المدينة</code> | <code>أنثى في بيئة حضرية</code> | <code>امرأة تمشي في حديقة ذات عشب</code> | |
|
| <code>أكبر مستهلك للمياه المعبأة</code> | <code>كانت بولندا أكبر مستهلك للمياه المعبأة في العام الماضي ، حيث شكلت 23٪ من الحجم الإجمالي. احتلت روسيا المرتبة الثانية بنسبة 21٪ ورومانيا في المرتبة الثالثة بنسبة 10٪. من حيث معدلات النمو ، تصدرت بلغاريا الطريق بزيادة قدرها 22٪ ، تليها المجر وإستونيا وروسيا.</code> | <code>يجب أن يكون لجميع الشركات التي تنتج المواد الاستهلاكية ، بموجب القانون الفيدرالي ، تاريخ انتهاء صلاحية عليها. نظرًا لأن المياه المعبأة مستهلكات ، يجب على الشركة وضع تاريخ انتهاء صلاحية عليها. كما أن بعض الماء يصبح غير نقي بسبب ذوبان البلاستيك أو المواد التي يطلقها البلاستيك في الماء.</code> | |
|
* Loss: [<code>MatryoshkaLoss</code>](https://sbert.net/docs/package_reference/sentence_transformer/losses.html#matryoshkaloss) with these parameters: |
|
```json |
|
{ |
|
"loss": "MultipleNegativesRankingLoss", |
|
"matryoshka_dims": [ |
|
1024, |
|
768, |
|
512, |
|
256, |
|
128, |
|
64 |
|
], |
|
"matryoshka_weights": [ |
|
1, |
|
1, |
|
1, |
|
1, |
|
1, |
|
1 |
|
], |
|
"n_dims_per_step": -1 |
|
} |
|
``` |
|
|
|
### Training Hyperparameters |
|
#### Non-Default Hyperparameters |
|
|
|
- `eval_strategy`: steps |
|
- `per_device_train_batch_size`: 16 |
|
- `per_device_eval_batch_size`: 16 |
|
- `gradient_accumulation_steps`: 2 |
|
- `learning_rate`: 6e-06 |
|
- `num_train_epochs`: 1 |
|
- `lr_scheduler_type`: constant_with_warmup |
|
- `warmup_ratio`: 0.05 |
|
- `fp16`: 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`: 16 |
|
- `per_device_eval_batch_size`: 16 |
|
- `per_gpu_train_batch_size`: None |
|
- `per_gpu_eval_batch_size`: None |
|
- `gradient_accumulation_steps`: 2 |
|
- `eval_accumulation_steps`: None |
|
- `torch_empty_cache_steps`: None |
|
- `learning_rate`: 6e-06 |
|
- `weight_decay`: 0.0 |
|
- `adam_beta1`: 0.9 |
|
- `adam_beta2`: 0.999 |
|
- `adam_epsilon`: 1e-08 |
|
- `max_grad_norm`: 1.0 |
|
- `num_train_epochs`: 1 |
|
- `max_steps`: -1 |
|
- `lr_scheduler_type`: constant_with_warmup |
|
- `lr_scheduler_kwargs`: {} |
|
- `warmup_ratio`: 0.05 |
|
- `warmup_steps`: 0 |
|
- `log_level`: passive |
|
- `log_level_replica`: warning |
|
- `log_on_each_node`: True |
|
- `logging_nan_inf_filter`: True |
|
- `save_safetensors`: True |
|
- `save_on_each_node`: False |
|
- `save_only_model`: False |
|
- `restore_callback_states_from_checkpoint`: False |
|
- `no_cuda`: False |
|
- `use_cpu`: False |
|
- `use_mps_device`: False |
|
- `seed`: 42 |
|
- `data_seed`: None |
|
- `jit_mode_eval`: False |
|
- `use_ipex`: False |
|
- `bf16`: False |
|
- `fp16`: True |
|
- `fp16_opt_level`: O1 |
|
- `half_precision_backend`: auto |
|
- `bf16_full_eval`: False |
|
- `fp16_full_eval`: False |
|
- `tf32`: None |
|
- `local_rank`: 0 |
|
- `ddp_backend`: None |
|
- `tpu_num_cores`: None |
|
- `tpu_metrics_debug`: False |
|
- `debug`: [] |
|
- `dataloader_drop_last`: False |
|
- `dataloader_num_workers`: 0 |
|
- `dataloader_prefetch_factor`: None |
|
- `past_index`: -1 |
|
- `disable_tqdm`: False |
|
- `remove_unused_columns`: True |
|
- `label_names`: None |
|
- `load_best_model_at_end`: False |
|
- `ignore_data_skip`: False |
|
- `fsdp`: [] |
|
- `fsdp_min_num_params`: 0 |
|
- `fsdp_config`: {'min_num_params': 0, 'xla': False, 'xla_fsdp_v2': False, 'xla_fsdp_grad_ckpt': False} |
|
- `fsdp_transformer_layer_cls_to_wrap`: None |
|
- `accelerator_config`: {'split_batches': False, 'dispatch_batches': None, 'even_batches': True, 'use_seedable_sampler': True, 'non_blocking': False, 'gradient_accumulation_kwargs': None} |
|
- `deepspeed`: None |
|
- `label_smoothing_factor`: 0.0 |
|
- `optim`: adamw_torch |
|
- `optim_args`: None |
|
- `adafactor`: False |
|
- `group_by_length`: False |
|
- `length_column_name`: length |
|
- `ddp_find_unused_parameters`: None |
|
- `ddp_bucket_cap_mb`: None |
|
- `ddp_broadcast_buffers`: False |
|
- `dataloader_pin_memory`: True |
|
- `dataloader_persistent_workers`: False |
|
- `skip_memory_metrics`: True |
|
- `use_legacy_prediction_loop`: False |
|
- `push_to_hub`: False |
|
- `resume_from_checkpoint`: None |
|
- `hub_model_id`: None |
|
- `hub_strategy`: every_save |
|
- `hub_private_repo`: False |
|
- `hub_always_push`: False |
|
- `gradient_checkpointing`: False |
|
- `gradient_checkpointing_kwargs`: None |
|
- `include_inputs_for_metrics`: False |
|
- `eval_do_concat_batches`: True |
|
- `fp16_backend`: auto |
|
- `push_to_hub_model_id`: None |
|
- `push_to_hub_organization`: None |
|
- `mp_parameters`: |
|
- `auto_find_batch_size`: False |
|
- `full_determinism`: False |
|
- `torchdynamo`: None |
|
- `ray_scope`: last |
|
- `ddp_timeout`: 1800 |
|
- `torch_compile`: False |
|
- `torch_compile_backend`: None |
|
- `torch_compile_mode`: None |
|
- `dispatch_batches`: None |
|
- `split_batches`: None |
|
- `include_tokens_per_second`: False |
|
- `include_num_input_tokens_seen`: False |
|
- `neftune_noise_alpha`: None |
|
- `optim_target_modules`: None |
|
- `batch_eval_metrics`: False |
|
- `eval_on_start`: False |
|
- `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 | Validation Loss | sts-dev_spearman_cosine | |
|
|:------:|:-----:|:-------------:|:---------------:|:-----------------------:| |
|
| 0 | 0 | - | - | 0.5020 | |
|
| 0.0006 | 10 | 21.4435 | - | - | |
|
| 0.0012 | 20 | 21.3717 | - | - | |
|
| 0.0018 | 30 | 20.8768 | - | - | |
|
| 0.0024 | 40 | 21.5983 | - | - | |
|
| 0.0030 | 50 | 21.4375 | - | - | |
|
| 0.0037 | 60 | 20.8731 | - | - | |
|
| 0.0043 | 70 | 21.1706 | - | - | |
|
| 0.0049 | 80 | 19.9868 | - | - | |
|
| 0.0055 | 90 | 19.81 | - | - | |
|
| 0.0061 | 100 | 19.7024 | - | - | |
|
| 0.0067 | 110 | 18.9338 | - | - | |
|
| 0.0073 | 120 | 18.8047 | - | - | |
|
| 0.0079 | 130 | 18.0191 | - | - | |
|
| 0.0085 | 140 | 17.3543 | - | - | |
|
| 0.0091 | 150 | 16.2901 | - | - | |
|
| 0.0097 | 160 | 16.0705 | - | - | |
|
| 0.0103 | 170 | 15.3631 | - | - | |
|
| 0.0110 | 180 | 15.3457 | - | - | |
|
| 0.0116 | 190 | 15.2714 | - | - | |
|
| 0.0122 | 200 | 15.0009 | - | - | |
|
| 0.0128 | 210 | 14.2687 | - | - | |
|
| 0.0134 | 220 | 14.9628 | - | - | |
|
| 0.0140 | 230 | 14.6214 | - | - | |
|
| 0.0146 | 240 | 14.0547 | - | - | |
|
| 0.0152 | 250 | 13.9721 | - | - | |
|
| 0.0158 | 260 | 13.8674 | - | - | |
|
| 0.0164 | 270 | 14.2228 | - | - | |
|
| 0.0170 | 280 | 13.4609 | - | - | |
|
| 0.0176 | 290 | 13.5085 | - | - | |
|
| 0.0183 | 300 | 13.0996 | - | - | |
|
| 0.0189 | 310 | 12.6665 | - | - | |
|
| 0.0195 | 320 | 10.8726 | - | - | |
|
| 0.0201 | 330 | 9.5858 | - | - | |
|
| 0.0207 | 340 | 10.0155 | - | - | |
|
| 0.0213 | 350 | 9.3637 | - | - | |
|
| 0.0219 | 360 | 8.2787 | - | - | |
|
| 0.0225 | 370 | 8.1796 | - | - | |
|
| 0.0231 | 380 | 7.1682 | - | - | |
|
| 0.0237 | 390 | 7.2735 | - | - | |
|
| 0.0243 | 400 | 7.4527 | - | - | |
|
| 0.0249 | 410 | 6.6717 | - | - | |
|
| 0.0256 | 420 | 7.3839 | - | - | |
|
| 0.0262 | 430 | 5.5281 | - | - | |
|
| 0.0268 | 440 | 5.7704 | - | - | |
|
| 0.0274 | 450 | 6.4584 | - | - | |
|
| 0.0280 | 460 | 6.2236 | - | - | |
|
| 0.0286 | 470 | 5.2214 | - | - | |
|
| 0.0292 | 480 | 6.7058 | - | - | |
|
| 0.0298 | 490 | 6.4218 | - | - | |
|
| 0.0304 | 500 | 5.6464 | 4.2905 | 0.7654 | |
|
| 0.0310 | 510 | 6.3232 | - | - | |
|
| 0.0316 | 520 | 5.5365 | - | - | |
|
| 0.0322 | 530 | 4.9866 | - | - | |
|
| 0.0329 | 540 | 4.7878 | - | - | |
|
| 0.0335 | 550 | 4.9709 | - | - | |
|
| 0.0341 | 560 | 4.7273 | - | - | |
|
| 0.0347 | 570 | 4.9668 | - | - | |
|
| 0.0353 | 580 | 4.5264 | - | - | |
|
| 0.0359 | 590 | 4.9037 | - | - | |
|
| 0.0365 | 600 | 4.4175 | - | - | |
|
| 0.0371 | 610 | 5.0075 | - | - | |
|
| 0.0377 | 620 | 4.9083 | - | - | |
|
| 0.0383 | 630 | 3.701 | - | - | |
|
| 0.0389 | 640 | 4.0337 | - | - | |
|
| 0.0395 | 650 | 3.8381 | - | - | |
|
| 0.0402 | 660 | 4.1402 | - | - | |
|
| 0.0408 | 670 | 4.027 | - | - | |
|
| 0.0414 | 680 | 4.2162 | - | - | |
|
| 0.0420 | 690 | 4.4585 | - | - | |
|
| 0.0426 | 700 | 3.6895 | - | - | |
|
| 0.0432 | 710 | 4.0551 | - | - | |
|
| 0.0438 | 720 | 3.9698 | - | - | |
|
| 0.0444 | 730 | 4.603 | - | - | |
|
| 0.0450 | 740 | 4.298 | - | - | |
|
| 0.0456 | 750 | 3.4477 | - | - | |
|
| 0.0462 | 760 | 3.4911 | - | - | |
|
| 0.0468 | 770 | 4.3236 | - | - | |
|
| 0.0475 | 780 | 3.8387 | - | - | |
|
| 0.0481 | 790 | 3.9192 | - | - | |
|
| 0.0487 | 800 | 4.5429 | - | - | |
|
| 0.0493 | 810 | 3.7079 | - | - | |
|
| 0.0499 | 820 | 3.3982 | - | - | |
|
| 0.0505 | 830 | 4.0582 | - | - | |
|
| 0.0511 | 840 | 3.6453 | - | - | |
|
| 0.0517 | 850 | 3.1096 | - | - | |
|
| 0.0523 | 860 | 3.0238 | - | - | |
|
| 0.0529 | 870 | 3.2529 | - | - | |
|
| 0.0535 | 880 | 3.9375 | - | - | |
|
| 0.0541 | 890 | 4.2027 | - | - | |
|
| 0.0548 | 900 | 3.1972 | - | - | |
|
| 0.0554 | 910 | 4.1808 | - | - | |
|
| 0.0560 | 920 | 3.4926 | - | - | |
|
| 0.0566 | 930 | 3.6871 | - | - | |
|
| 0.0572 | 940 | 2.6525 | - | - | |
|
| 0.0578 | 950 | 3.8531 | - | - | |
|
| 0.0584 | 960 | 2.977 | - | - | |
|
| 0.0590 | 970 | 3.1851 | - | - | |
|
| 0.0596 | 980 | 2.6765 | - | - | |
|
| 0.0602 | 990 | 3.2409 | - | - | |
|
| 0.0608 | 1000 | 3.0853 | 2.5746 | 0.7993 | |
|
| 0.0614 | 1010 | 3.0047 | - | - | |
|
| 0.0621 | 1020 | 2.5571 | - | - | |
|
| 0.0627 | 1030 | 3.5924 | - | - | |
|
| 0.0633 | 1040 | 3.0118 | - | - | |
|
| 0.0639 | 1050 | 3.3328 | - | - | |
|
| 0.0645 | 1060 | 3.3521 | - | - | |
|
| 0.0651 | 1070 | 3.6967 | - | - | |
|
| 0.0657 | 1080 | 2.5625 | - | - | |
|
| 0.0663 | 1090 | 3.1467 | - | - | |
|
| 0.0669 | 1100 | 3.086 | - | - | |
|
| 0.0675 | 1110 | 2.9848 | - | - | |
|
| 0.0681 | 1120 | 3.4545 | - | - | |
|
| 0.0687 | 1130 | 2.8503 | - | - | |
|
| 0.0694 | 1140 | 3.01 | - | - | |
|
| 0.0700 | 1150 | 2.5596 | - | - | |
|
| 0.0706 | 1160 | 2.7204 | - | - | |
|
| 0.0712 | 1170 | 3.0992 | - | - | |
|
| 0.0718 | 1180 | 3.4662 | - | - | |
|
| 0.0724 | 1190 | 3.3522 | - | - | |
|
| 0.0730 | 1200 | 2.9208 | - | - | |
|
| 0.0736 | 1210 | 2.9255 | - | - | |
|
| 0.0742 | 1220 | 2.7254 | - | - | |
|
| 0.0748 | 1230 | 2.8535 | - | - | |
|
| 0.0754 | 1240 | 3.0474 | - | - | |
|
| 0.0760 | 1250 | 3.1126 | - | - | |
|
| 0.0767 | 1260 | 2.3903 | - | - | |
|
| 0.0773 | 1270 | 3.0233 | - | - | |
|
| 0.0779 | 1280 | 2.8023 | - | - | |
|
| 0.0785 | 1290 | 2.9833 | - | - | |
|
| 0.0791 | 1300 | 2.8474 | - | - | |
|
| 0.0797 | 1310 | 2.7475 | - | - | |
|
| 0.0803 | 1320 | 2.7909 | - | - | |
|
| 0.0809 | 1330 | 2.9 | - | - | |
|
| 0.0815 | 1340 | 2.6851 | - | - | |
|
| 0.0821 | 1350 | 2.3341 | - | - | |
|
| 0.0827 | 1360 | 2.7356 | - | - | |
|
| 0.0833 | 1370 | 2.9598 | - | - | |
|
| 0.0840 | 1380 | 3.0407 | - | - | |
|
| 0.0846 | 1390 | 2.5379 | - | - | |
|
| 0.0852 | 1400 | 3.0827 | - | - | |
|
| 0.0858 | 1410 | 2.6063 | - | - | |
|
| 0.0864 | 1420 | 2.3416 | - | - | |
|
| 0.0870 | 1430 | 2.389 | - | - | |
|
| 0.0876 | 1440 | 2.2908 | - | - | |
|
| 0.0882 | 1450 | 2.2592 | - | - | |
|
| 0.0888 | 1460 | 2.557 | - | - | |
|
| 0.0894 | 1470 | 3.0709 | - | - | |
|
| 0.0900 | 1480 | 2.6669 | - | - | |
|
| 0.0906 | 1490 | 2.3669 | - | - | |
|
| 0.0913 | 1500 | 2.0875 | 2.1857 | 0.8022 | |
|
| 0.0919 | 1510 | 2.4048 | - | - | |
|
| 0.0925 | 1520 | 2.438 | - | - | |
|
| 0.0931 | 1530 | 2.6925 | - | - | |
|
| 0.0937 | 1540 | 2.6539 | - | - | |
|
| 0.0943 | 1550 | 2.533 | - | - | |
|
| 0.0949 | 1560 | 3.1083 | - | - | |
|
| 0.0955 | 1570 | 2.2875 | - | - | |
|
| 0.0961 | 1580 | 3.3862 | - | - | |
|
| 0.0967 | 1590 | 2.5905 | - | - | |
|
| 0.0973 | 1600 | 3.2255 | - | - | |
|
| 0.0979 | 1610 | 2.4644 | - | - | |
|
| 0.0986 | 1620 | 2.3459 | - | - | |
|
| 0.0992 | 1630 | 2.8529 | - | - | |
|
| 0.0998 | 1640 | 2.1764 | - | - | |
|
| 0.1004 | 1650 | 1.9525 | - | - | |
|
| 0.1010 | 1660 | 2.4797 | - | - | |
|
| 0.1016 | 1670 | 2.738 | - | - | |
|
| 0.1022 | 1680 | 2.6411 | - | - | |
|
| 0.1028 | 1690 | 2.8727 | - | - | |
|
| 0.1034 | 1700 | 2.6647 | - | - | |
|
| 0.1040 | 1710 | 2.2901 | - | - | |
|
| 0.1046 | 1720 | 1.8548 | - | - | |
|
| 0.1053 | 1730 | 2.7483 | - | - | |
|
| 0.1059 | 1740 | 2.9149 | - | - | |
|
| 0.1065 | 1750 | 2.4161 | - | - | |
|
| 0.1071 | 1760 | 2.892 | - | - | |
|
| 0.1077 | 1770 | 2.5077 | - | - | |
|
| 0.1083 | 1780 | 2.4095 | - | - | |
|
| 0.1089 | 1790 | 2.2579 | - | - | |
|
| 0.1095 | 1800 | 2.7354 | - | - | |
|
| 0.1101 | 1810 | 2.2449 | - | - | |
|
| 0.1107 | 1820 | 2.5732 | - | - | |
|
| 0.1113 | 1830 | 2.2574 | - | - | |
|
| 0.1119 | 1840 | 2.3138 | - | - | |
|
| 0.1126 | 1850 | 2.3812 | - | - | |
|
| 0.1132 | 1860 | 3.0886 | - | - | |
|
| 0.1138 | 1870 | 2.0547 | - | - | |
|
| 0.1144 | 1880 | 2.5267 | - | - | |
|
| 0.1150 | 1890 | 2.3027 | - | - | |
|
| 0.1156 | 1900 | 2.0564 | - | - | |
|
| 0.1162 | 1910 | 2.2067 | - | - | |
|
| 0.1168 | 1920 | 2.7163 | - | - | |
|
| 0.1174 | 1930 | 2.2444 | - | - | |
|
| 0.1180 | 1940 | 2.3602 | - | - | |
|
| 0.1186 | 1950 | 2.3116 | - | - | |
|
| 0.1192 | 1960 | 2.6275 | - | - | |
|
| 0.1199 | 1970 | 2.4513 | - | - | |
|
| 0.1205 | 1980 | 2.248 | - | - | |
|
| 0.1211 | 1990 | 2.5932 | - | - | |
|
| 0.1217 | 2000 | 2.4649 | 2.0423 | 0.8091 | |
|
| 0.1223 | 2010 | 2.2928 | - | - | |
|
| 0.1229 | 2020 | 2.2641 | - | - | |
|
| 0.1235 | 2030 | 2.2922 | - | - | |
|
| 0.1241 | 2040 | 2.7012 | - | - | |
|
| 0.1247 | 2050 | 2.5443 | - | - | |
|
| 0.1253 | 2060 | 2.2732 | - | - | |
|
| 0.1259 | 2070 | 2.2286 | - | - | |
|
| 0.1265 | 2080 | 2.4436 | - | - | |
|
| 0.1272 | 2090 | 2.6274 | - | - | |
|
| 0.1278 | 2100 | 2.4676 | - | - | |
|
| 0.1284 | 2110 | 2.4846 | - | - | |
|
| 0.1290 | 2120 | 2.4191 | - | - | |
|
| 0.1296 | 2130 | 2.2225 | - | - | |
|
| 0.1302 | 2140 | 2.1632 | - | - | |
|
| 0.1308 | 2150 | 2.8109 | - | - | |
|
| 0.1314 | 2160 | 2.2506 | - | - | |
|
| 0.1320 | 2170 | 2.2097 | - | - | |
|
| 0.1326 | 2180 | 2.1465 | - | - | |
|
| 0.1332 | 2190 | 2.4718 | - | - | |
|
| 0.1338 | 2200 | 2.0065 | - | - | |
|
| 0.1345 | 2210 | 2.0881 | - | - | |
|
| 0.1351 | 2220 | 2.6028 | - | - | |
|
| 0.1357 | 2230 | 2.4396 | - | - | |
|
| 0.1363 | 2240 | 2.3964 | - | - | |
|
| 0.1369 | 2250 | 2.5122 | - | - | |
|
| 0.1375 | 2260 | 2.2119 | - | - | |
|
| 0.1381 | 2270 | 2.6083 | - | - | |
|
| 0.1387 | 2280 | 2.9089 | - | - | |
|
| 0.1393 | 2290 | 2.4405 | - | - | |
|
| 0.1399 | 2300 | 2.5661 | - | - | |
|
| 0.1405 | 2310 | 1.7193 | - | - | |
|
| 0.1411 | 2320 | 2.2237 | - | - | |
|
| 0.1418 | 2330 | 2.3725 | - | - | |
|
| 0.1424 | 2340 | 1.9095 | - | - | |
|
| 0.1430 | 2350 | 2.3458 | - | - | |
|
| 0.1436 | 2360 | 2.2409 | - | - | |
|
| 0.1442 | 2370 | 2.5058 | - | - | |
|
| 0.1448 | 2380 | 2.7686 | - | - | |
|
| 0.1454 | 2390 | 2.5467 | - | - | |
|
| 0.1460 | 2400 | 2.2733 | - | - | |
|
| 0.1466 | 2410 | 2.4094 | - | - | |
|
| 0.1472 | 2420 | 2.0335 | - | - | |
|
| 0.1478 | 2430 | 2.0628 | - | - | |
|
| 0.1484 | 2440 | 2.0153 | - | - | |
|
| 0.1491 | 2450 | 2.5779 | - | - | |
|
| 0.1497 | 2460 | 2.4797 | - | - | |
|
| 0.1503 | 2470 | 2.6106 | - | - | |
|
| 0.1509 | 2480 | 2.509 | - | - | |
|
| 0.1515 | 2490 | 2.576 | - | - | |
|
| 0.1521 | 2500 | 2.4158 | 1.8880 | 0.8100 | |
|
| 0.1527 | 2510 | 2.4631 | - | - | |
|
| 0.1533 | 2520 | 2.4689 | - | - | |
|
| 0.1539 | 2530 | 1.8991 | - | - | |
|
| 0.1545 | 2540 | 2.0037 | - | - | |
|
| 0.1551 | 2550 | 2.5575 | - | - | |
|
| 0.1557 | 2560 | 2.3801 | - | - | |
|
| 0.1564 | 2570 | 3.0848 | - | - | |
|
| 0.1570 | 2580 | 2.1983 | - | - | |
|
| 0.1576 | 2590 | 2.3668 | - | - | |
|
| 0.1582 | 2600 | 2.6198 | - | - | |
|
| 0.1588 | 2610 | 1.8254 | - | - | |
|
| 0.1594 | 2620 | 2.7682 | - | - | |
|
| 0.1600 | 2630 | 2.3169 | - | - | |
|
| 0.1606 | 2640 | 2.3229 | - | - | |
|
| 0.1612 | 2650 | 2.2648 | - | - | |
|
| 0.1618 | 2660 | 2.5666 | - | - | |
|
| 0.1624 | 2670 | 2.1311 | - | - | |
|
| 0.1630 | 2680 | 2.714 | - | - | |
|
| 0.1637 | 2690 | 2.2482 | - | - | |
|
| 0.1643 | 2700 | 1.5924 | - | - | |
|
| 0.1649 | 2710 | 1.981 | - | - | |
|
| 0.1655 | 2720 | 2.3084 | - | - | |
|
| 0.1661 | 2730 | 1.8018 | - | - | |
|
| 0.1667 | 2740 | 2.8646 | - | - | |
|
| 0.1673 | 2750 | 2.3481 | - | - | |
|
| 0.1679 | 2760 | 1.6595 | - | - | |
|
| 0.1685 | 2770 | 1.9359 | - | - | |
|
| 0.1691 | 2780 | 2.2035 | - | - | |
|
| 0.1697 | 2790 | 1.768 | - | - | |
|
| 0.1703 | 2800 | 2.2909 | - | - | |
|
| 0.1710 | 2810 | 2.4359 | - | - | |
|
| 0.1716 | 2820 | 2.1752 | - | - | |
|
| 0.1722 | 2830 | 2.2363 | - | - | |
|
| 0.1728 | 2840 | 2.2288 | - | - | |
|
| 0.1734 | 2850 | 1.7949 | - | - | |
|
| 0.1740 | 2860 | 1.9309 | - | - | |
|
| 0.1746 | 2870 | 2.2123 | - | - | |
|
| 0.1752 | 2880 | 1.9533 | - | - | |
|
| 0.1758 | 2890 | 2.1364 | - | - | |
|
| 0.1764 | 2900 | 2.5226 | - | - | |
|
| 0.1770 | 2910 | 2.0234 | - | - | |
|
| 0.1776 | 2920 | 1.9281 | - | - | |
|
| 0.1783 | 2930 | 2.2906 | - | - | |
|
| 0.1789 | 2940 | 2.4426 | - | - | |
|
| 0.1795 | 2950 | 1.9415 | - | - | |
|
| 0.1801 | 2960 | 2.0118 | - | - | |
|
| 0.1807 | 2970 | 1.8743 | - | - | |
|
| 0.1813 | 2980 | 2.1937 | - | - | |
|
| 0.1819 | 2990 | 2.3486 | - | - | |
|
| 0.1825 | 3000 | 2.0213 | 1.7885 | 0.8194 | |
|
| 0.1831 | 3010 | 2.8386 | - | - | |
|
| 0.1837 | 3020 | 2.1086 | - | - | |
|
| 0.1843 | 3030 | 1.9674 | - | - | |
|
| 0.1849 | 3040 | 2.2939 | - | - | |
|
| 0.1856 | 3050 | 2.3851 | - | - | |
|
| 0.1862 | 3060 | 1.8537 | - | - | |
|
| 0.1868 | 3070 | 2.5518 | - | - | |
|
| 0.1874 | 3080 | 2.3096 | - | - | |
|
| 0.1880 | 3090 | 2.5557 | - | - | |
|
| 0.1886 | 3100 | 2.8594 | - | - | |
|
| 0.1892 | 3110 | 2.0555 | - | - | |
|
| 0.1898 | 3120 | 2.0453 | - | - | |
|
| 0.1904 | 3130 | 2.0322 | - | - | |
|
| 0.1910 | 3140 | 2.3151 | - | - | |
|
| 0.1916 | 3150 | 2.0746 | - | - | |
|
| 0.1922 | 3160 | 1.7228 | - | - | |
|
| 0.1929 | 3170 | 2.1176 | - | - | |
|
| 0.1935 | 3180 | 2.0774 | - | - | |
|
| 0.1941 | 3190 | 2.3653 | - | - | |
|
| 0.1947 | 3200 | 2.1124 | - | - | |
|
| 0.1953 | 3210 | 2.4932 | - | - | |
|
| 0.1959 | 3220 | 2.6039 | - | - | |
|
| 0.1965 | 3230 | 1.6741 | - | - | |
|
| 0.1971 | 3240 | 1.9226 | - | - | |
|
| 0.1977 | 3250 | 2.0653 | - | - | |
|
| 0.1983 | 3260 | 2.0098 | - | - | |
|
| 0.1989 | 3270 | 2.1304 | - | - | |
|
| 0.1995 | 3280 | 1.9026 | - | - | |
|
| 0.2002 | 3290 | 1.7509 | - | - | |
|
| 0.2008 | 3300 | 2.1752 | - | - | |
|
| 0.2014 | 3310 | 2.0579 | - | - | |
|
| 0.2020 | 3320 | 2.1505 | - | - | |
|
| 0.2026 | 3330 | 2.244 | - | - | |
|
| 0.2032 | 3340 | 2.0012 | - | - | |
|
| 0.2038 | 3350 | 2.1361 | - | - | |
|
| 0.2044 | 3360 | 2.031 | - | - | |
|
| 0.2050 | 3370 | 2.0056 | - | - | |
|
| 0.2056 | 3380 | 1.9624 | - | - | |
|
| 0.2062 | 3390 | 2.2317 | - | - | |
|
| 0.2069 | 3400 | 2.3869 | - | - | |
|
| 0.2075 | 3410 | 2.0784 | - | - | |
|
| 0.2081 | 3420 | 1.8601 | - | - | |
|
| 0.2087 | 3430 | 1.7063 | - | - | |
|
| 0.2093 | 3440 | 2.1913 | - | - | |
|
| 0.2099 | 3450 | 1.611 | - | - | |
|
| 0.2105 | 3460 | 2.1682 | - | - | |
|
| 0.2111 | 3470 | 2.052 | - | - | |
|
| 0.2117 | 3480 | 1.8947 | - | - | |
|
| 0.2123 | 3490 | 2.1593 | - | - | |
|
| 0.2129 | 3500 | 2.0164 | 1.6326 | 0.8125 | |
|
| 0.2135 | 3510 | 2.1637 | - | - | |
|
| 0.2142 | 3520 | 2.3442 | - | - | |
|
| 0.2148 | 3530 | 1.9714 | - | - | |
|
| 0.2154 | 3540 | 1.9191 | - | - | |
|
| 0.2160 | 3550 | 1.9054 | - | - | |
|
| 0.2166 | 3560 | 1.7648 | - | - | |
|
| 0.2172 | 3570 | 1.5984 | - | - | |
|
| 0.2178 | 3580 | 1.8352 | - | - | |
|
| 0.2184 | 3590 | 1.7359 | - | - | |
|
| 0.2190 | 3600 | 1.6215 | - | - | |
|
| 0.2196 | 3610 | 2.4038 | - | - | |
|
| 0.2202 | 3620 | 1.9934 | - | - | |
|
| 0.2208 | 3630 | 1.8032 | - | - | |
|
| 0.2215 | 3640 | 2.1424 | - | - | |
|
| 0.2221 | 3650 | 1.8685 | - | - | |
|
| 0.2227 | 3660 | 1.8718 | - | - | |
|
| 0.2233 | 3670 | 2.2936 | - | - | |
|
| 0.2239 | 3680 | 2.3066 | - | - | |
|
| 0.2245 | 3690 | 2.1467 | - | - | |
|
| 0.2251 | 3700 | 1.9157 | - | - | |
|
| 0.2257 | 3710 | 2.1634 | - | - | |
|
| 0.2263 | 3720 | 2.0877 | - | - | |
|
| 0.2269 | 3730 | 1.9922 | - | - | |
|
| 0.2275 | 3740 | 1.7445 | - | - | |
|
| 0.2281 | 3750 | 1.7505 | - | - | |
|
| 0.2288 | 3760 | 1.7483 | - | - | |
|
| 0.2294 | 3770 | 2.0549 | - | - | |
|
| 0.2300 | 3780 | 1.7194 | - | - | |
|
| 0.2306 | 3790 | 1.7902 | - | - | |
|
| 0.2312 | 3800 | 2.0417 | - | - | |
|
| 0.2318 | 3810 | 2.0775 | - | - | |
|
| 0.2324 | 3820 | 1.8369 | - | - | |
|
| 0.2330 | 3830 | 2.03 | - | - | |
|
| 0.2336 | 3840 | 1.9612 | - | - | |
|
| 0.2342 | 3850 | 1.7391 | - | - | |
|
| 0.2348 | 3860 | 2.3491 | - | - | |
|
| 0.2354 | 3870 | 2.0881 | - | - | |
|
| 0.2361 | 3880 | 2.0937 | - | - | |
|
| 0.2367 | 3890 | 2.2639 | - | - | |
|
| 0.2373 | 3900 | 1.7997 | - | - | |
|
| 0.2379 | 3910 | 1.6543 | - | - | |
|
| 0.2385 | 3920 | 2.4777 | - | - | |
|
| 0.2391 | 3930 | 1.9603 | - | - | |
|
| 0.2397 | 3940 | 2.5438 | - | - | |
|
| 0.2403 | 3950 | 1.6183 | - | - | |
|
| 0.2409 | 3960 | 1.6891 | - | - | |
|
| 0.2415 | 3970 | 1.9894 | - | - | |
|
| 0.2421 | 3980 | 1.4788 | - | - | |
|
| 0.2427 | 3990 | 1.544 | - | - | |
|
| 0.2434 | 4000 | 2.5451 | 1.6071 | 0.8085 | |
|
| 0.2440 | 4010 | 2.1108 | - | - | |
|
| 0.2446 | 4020 | 1.7795 | - | - | |
|
| 0.2452 | 4030 | 1.9481 | - | - | |
|
| 0.2458 | 4040 | 2.0071 | - | - | |
|
| 0.2464 | 4050 | 2.4824 | - | - | |
|
| 0.2470 | 4060 | 1.7675 | - | - | |
|
| 0.2476 | 4070 | 2.0736 | - | - | |
|
| 0.2482 | 4080 | 1.8881 | - | - | |
|
| 0.2488 | 4090 | 1.4922 | - | - | |
|
| 0.2494 | 4100 | 2.2162 | - | - | |
|
| 0.2500 | 4110 | 1.9379 | - | - | |
|
| 0.2507 | 4120 | 1.492 | - | - | |
|
| 0.2513 | 4130 | 2.321 | - | - | |
|
| 0.2519 | 4140 | 1.8728 | - | - | |
|
| 0.2525 | 4150 | 2.0446 | - | - | |
|
| 0.2531 | 4160 | 1.8886 | - | - | |
|
| 0.2537 | 4170 | 2.3516 | - | - | |
|
| 0.2543 | 4180 | 1.4527 | - | - | |
|
| 0.2549 | 4190 | 1.8565 | - | - | |
|
| 0.2555 | 4200 | 1.2772 | - | - | |
|
| 0.2561 | 4210 | 2.0268 | - | - | |
|
| 0.2567 | 4220 | 1.8977 | - | - | |
|
| 0.2573 | 4230 | 2.1598 | - | - | |
|
| 0.2580 | 4240 | 2.0181 | - | - | |
|
| 0.2586 | 4250 | 1.9695 | - | - | |
|
| 0.2592 | 4260 | 1.7055 | - | - | |
|
| 0.2598 | 4270 | 1.452 | - | - | |
|
| 0.2604 | 4280 | 1.7157 | - | - | |
|
| 0.2610 | 4290 | 2.159 | - | - | |
|
| 0.2616 | 4300 | 1.9468 | - | - | |
|
| 0.2622 | 4310 | 2.3077 | - | - | |
|
| 0.2628 | 4320 | 2.249 | - | - | |
|
| 0.2634 | 4330 | 1.8195 | - | - | |
|
| 0.2640 | 4340 | 1.7286 | - | - | |
|
| 0.2646 | 4350 | 1.9193 | - | - | |
|
| 0.2653 | 4360 | 1.7587 | - | - | |
|
| 0.2659 | 4370 | 2.0261 | - | - | |
|
| 0.2665 | 4380 | 1.643 | - | - | |
|
| 0.2671 | 4390 | 2.3491 | - | - | |
|
| 0.2677 | 4400 | 1.9908 | - | - | |
|
| 0.2683 | 4410 | 1.5614 | - | - | |
|
| 0.2689 | 4420 | 1.5435 | - | - | |
|
| 0.2695 | 4430 | 1.9115 | - | - | |
|
| 0.2701 | 4440 | 2.1565 | - | - | |
|
| 0.2707 | 4450 | 1.6645 | - | - | |
|
| 0.2713 | 4460 | 1.6229 | - | - | |
|
| 0.2719 | 4470 | 1.6025 | - | - | |
|
| 0.2726 | 4480 | 1.6732 | - | - | |
|
| 0.2732 | 4490 | 1.8929 | - | - | |
|
| 0.2738 | 4500 | 1.9043 | 1.5524 | 0.8170 | |
|
| 0.2744 | 4510 | 2.0704 | - | - | |
|
| 0.2750 | 4520 | 1.7518 | - | - | |
|
| 0.2756 | 4530 | 1.7307 | - | - | |
|
| 0.2762 | 4540 | 2.0582 | - | - | |
|
| 0.2768 | 4550 | 2.0518 | - | - | |
|
| 0.2774 | 4560 | 2.1475 | - | - | |
|
| 0.2780 | 4570 | 1.7513 | - | - | |
|
| 0.2786 | 4580 | 1.7217 | - | - | |
|
| 0.2792 | 4590 | 1.8506 | - | - | |
|
| 0.2799 | 4600 | 1.7839 | - | - | |
|
| 0.2805 | 4610 | 1.7636 | - | - | |
|
| 0.2811 | 4620 | 2.4504 | - | - | |
|
| 0.2817 | 4630 | 1.8202 | - | - | |
|
| 0.2823 | 4640 | 1.9163 | - | - | |
|
| 0.2829 | 4650 | 2.2026 | - | - | |
|
| 0.2835 | 4660 | 1.7565 | - | - | |
|
| 0.2841 | 4670 | 1.7611 | - | - | |
|
| 0.2847 | 4680 | 1.982 | - | - | |
|
| 0.2853 | 4690 | 2.3464 | - | - | |
|
| 0.2859 | 4700 | 2.022 | - | - | |
|
| 0.2865 | 4710 | 1.5905 | - | - | |
|
| 0.2872 | 4720 | 1.9998 | - | - | |
|
| 0.2878 | 4730 | 1.9294 | - | - | |
|
| 0.2884 | 4740 | 2.2862 | - | - | |
|
| 0.2890 | 4750 | 2.1944 | - | - | |
|
| 0.2896 | 4760 | 1.815 | - | - | |
|
| 0.2902 | 4770 | 1.5759 | - | - | |
|
| 0.2908 | 4780 | 1.6481 | - | - | |
|
| 0.2914 | 4790 | 1.6934 | - | - | |
|
| 0.2920 | 4800 | 2.2347 | - | - | |
|
| 0.2926 | 4810 | 1.7961 | - | - | |
|
| 0.2932 | 4820 | 2.2624 | - | - | |
|
| 0.2938 | 4830 | 1.6544 | - | - | |
|
| 0.2945 | 4840 | 2.0198 | - | - | |
|
| 0.2951 | 4850 | 1.6184 | - | - | |
|
| 0.2957 | 4860 | 1.6182 | - | - | |
|
| 0.2963 | 4870 | 2.1709 | - | - | |
|
| 0.2969 | 4880 | 1.8362 | - | - | |
|
| 0.2975 | 4890 | 1.8456 | - | - | |
|
| 0.2981 | 4900 | 1.694 | - | - | |
|
| 0.2987 | 4910 | 1.6234 | - | - | |
|
| 0.2993 | 4920 | 1.5079 | - | - | |
|
| 0.2999 | 4930 | 2.3818 | - | - | |
|
| 0.3005 | 4940 | 1.4689 | - | - | |
|
| 0.3011 | 4950 | 1.6119 | - | - | |
|
| 0.3018 | 4960 | 1.729 | - | - | |
|
| 0.3024 | 4970 | 1.3665 | - | - | |
|
| 0.3030 | 4980 | 1.8715 | - | - | |
|
| 0.3036 | 4990 | 2.1445 | - | - | |
|
| 0.3042 | 5000 | 1.7364 | 1.5370 | 0.8231 | |
|
| 0.3048 | 5010 | 1.853 | - | - | |
|
| 0.3054 | 5020 | 1.6435 | - | - | |
|
| 0.3060 | 5030 | 1.5962 | - | - | |
|
| 0.3066 | 5040 | 1.6887 | - | - | |
|
| 0.3072 | 5050 | 1.978 | - | - | |
|
| 0.3078 | 5060 | 1.608 | - | - | |
|
| 0.3085 | 5070 | 1.3992 | - | - | |
|
| 0.3091 | 5080 | 2.5111 | - | - | |
|
| 0.3097 | 5090 | 2.1339 | - | - | |
|
| 0.3103 | 5100 | 1.4076 | - | - | |
|
| 0.3109 | 5110 | 2.1234 | - | - | |
|
| 0.3115 | 5120 | 1.6867 | - | - | |
|
| 0.3121 | 5130 | 1.9899 | - | - | |
|
| 0.3127 | 5140 | 1.5238 | - | - | |
|
| 0.3133 | 5150 | 1.8351 | - | - | |
|
| 0.3139 | 5160 | 1.8397 | - | - | |
|
| 0.3145 | 5170 | 1.4733 | - | - | |
|
| 0.3151 | 5180 | 2.1321 | - | - | |
|
| 0.3158 | 5190 | 2.0014 | - | - | |
|
| 0.3164 | 5200 | 1.828 | - | - | |
|
| 0.3170 | 5210 | 2.3236 | - | - | |
|
| 0.3176 | 5220 | 2.353 | - | - | |
|
| 0.3182 | 5230 | 1.918 | - | - | |
|
| 0.3188 | 5240 | 1.7015 | - | - | |
|
| 0.3194 | 5250 | 1.8761 | - | - | |
|
| 0.3200 | 5260 | 1.7348 | - | - | |
|
| 0.3206 | 5270 | 1.5277 | - | - | |
|
| 0.3212 | 5280 | 1.9375 | - | - | |
|
| 0.3218 | 5290 | 2.2218 | - | - | |
|
| 0.3224 | 5300 | 2.0324 | - | - | |
|
| 0.3231 | 5310 | 1.6346 | - | - | |
|
| 0.3237 | 5320 | 2.0467 | - | - | |
|
| 0.3243 | 5330 | 1.6091 | - | - | |
|
| 0.3249 | 5340 | 1.4123 | - | - | |
|
| 0.3255 | 5350 | 1.9284 | - | - | |
|
| 0.3261 | 5360 | 1.9926 | - | - | |
|
| 0.3267 | 5370 | 1.5401 | - | - | |
|
| 0.3273 | 5380 | 1.9954 | - | - | |
|
| 0.3279 | 5390 | 1.3091 | - | - | |
|
| 0.3285 | 5400 | 1.9519 | - | - | |
|
| 0.3291 | 5410 | 2.3529 | - | - | |
|
| 0.3297 | 5420 | 2.0192 | - | - | |
|
| 0.3304 | 5430 | 2.0734 | - | - | |
|
| 0.3310 | 5440 | 1.9783 | - | - | |
|
| 0.3316 | 5450 | 1.276 | - | - | |
|
| 0.3322 | 5460 | 1.3195 | - | - | |
|
| 0.3328 | 5470 | 1.6383 | - | - | |
|
| 0.3334 | 5480 | 1.1813 | - | - | |
|
| 0.3340 | 5490 | 2.0388 | - | - | |
|
| 0.3346 | 5500 | 1.8688 | 1.5780 | 0.8175 | |
|
| 0.3352 | 5510 | 1.7879 | - | - | |
|
| 0.3358 | 5520 | 2.1903 | - | - | |
|
| 0.3364 | 5530 | 1.9834 | - | - | |
|
| 0.3370 | 5540 | 1.6896 | - | - | |
|
| 0.3377 | 5550 | 1.3363 | - | - | |
|
| 0.3383 | 5560 | 1.6546 | - | - | |
|
| 0.3389 | 5570 | 1.9395 | - | - | |
|
| 0.3395 | 5580 | 2.0097 | - | - | |
|
| 0.3401 | 5590 | 1.7401 | - | - | |
|
| 0.3407 | 5600 | 2.0762 | - | - | |
|
| 0.3413 | 5610 | 1.8717 | - | - | |
|
| 0.3419 | 5620 | 1.6267 | - | - | |
|
| 0.3425 | 5630 | 2.2863 | - | - | |
|
| 0.3431 | 5640 | 1.8856 | - | - | |
|
| 0.3437 | 5650 | 1.6284 | - | - | |
|
| 0.3443 | 5660 | 1.9623 | - | - | |
|
| 0.3450 | 5670 | 1.921 | - | - | |
|
| 0.3456 | 5680 | 1.9259 | - | - | |
|
| 0.3462 | 5690 | 1.7216 | - | - | |
|
| 0.3468 | 5700 | 1.7526 | - | - | |
|
| 0.3474 | 5710 | 1.5957 | - | - | |
|
| 0.3480 | 5720 | 2.1402 | - | - | |
|
| 0.3486 | 5730 | 1.5914 | - | - | |
|
| 0.3492 | 5740 | 1.9542 | - | - | |
|
| 0.3498 | 5750 | 1.6076 | - | - | |
|
| 0.3504 | 5760 | 1.5415 | - | - | |
|
| 0.3510 | 5770 | 2.0459 | - | - | |
|
| 0.3516 | 5780 | 1.7477 | - | - | |
|
| 0.3523 | 5790 | 2.0114 | - | - | |
|
| 0.3529 | 5800 | 1.6664 | - | - | |
|
| 0.3535 | 5810 | 1.773 | - | - | |
|
| 0.3541 | 5820 | 1.6238 | - | - | |
|
| 0.3547 | 5830 | 1.8636 | - | - | |
|
| 0.3553 | 5840 | 1.9767 | - | - | |
|
| 0.3559 | 5850 | 1.992 | - | - | |
|
| 0.3565 | 5860 | 1.592 | - | - | |
|
| 0.3571 | 5870 | 1.4706 | - | - | |
|
| 0.3577 | 5880 | 1.5148 | - | - | |
|
| 0.3583 | 5890 | 1.986 | - | - | |
|
| 0.3589 | 5900 | 1.7048 | - | - | |
|
| 0.3596 | 5910 | 1.8579 | - | - | |
|
| 0.3602 | 5920 | 1.6965 | - | - | |
|
| 0.3608 | 5930 | 1.5526 | - | - | |
|
| 0.3614 | 5940 | 1.8245 | - | - | |
|
| 0.3620 | 5950 | 2.048 | - | - | |
|
| 0.3626 | 5960 | 1.855 | - | - | |
|
| 0.3632 | 5970 | 1.7475 | - | - | |
|
| 0.3638 | 5980 | 2.2481 | - | - | |
|
| 0.3644 | 5990 | 2.0231 | - | - | |
|
| 0.3650 | 6000 | 1.7524 | 1.4925 | 0.8212 | |
|
| 0.3656 | 6010 | 1.7983 | - | - | |
|
| 0.3662 | 6020 | 1.1592 | - | - | |
|
| 0.3669 | 6030 | 1.6828 | - | - | |
|
| 0.3675 | 6040 | 1.6239 | - | - | |
|
| 0.3681 | 6050 | 1.8885 | - | - | |
|
| 0.3687 | 6060 | 2.3066 | - | - | |
|
| 0.3693 | 6070 | 1.5862 | - | - | |
|
| 0.3699 | 6080 | 1.8467 | - | - | |
|
| 0.3705 | 6090 | 1.4557 | - | - | |
|
| 0.3711 | 6100 | 1.6192 | - | - | |
|
| 0.3717 | 6110 | 1.6312 | - | - | |
|
| 0.3723 | 6120 | 1.73 | - | - | |
|
| 0.3729 | 6130 | 1.6778 | - | - | |
|
| 0.3735 | 6140 | 1.2271 | - | - | |
|
| 0.3742 | 6150 | 1.5094 | - | - | |
|
| 0.3748 | 6160 | 1.6201 | - | - | |
|
| 0.3754 | 6170 | 2.2894 | - | - | |
|
| 0.3760 | 6180 | 2.2445 | - | - | |
|
| 0.3766 | 6190 | 1.8833 | - | - | |
|
| 0.3772 | 6200 | 2.1517 | - | - | |
|
| 0.3778 | 6210 | 1.7078 | - | - | |
|
| 0.3784 | 6220 | 1.4279 | - | - | |
|
| 0.3790 | 6230 | 1.5703 | - | - | |
|
| 0.3796 | 6240 | 1.5833 | - | - | |
|
| 0.3802 | 6250 | 1.3867 | - | - | |
|
| 0.3808 | 6260 | 1.9008 | - | - | |
|
| 0.3815 | 6270 | 1.4252 | - | - | |
|
| 0.3821 | 6280 | 1.5235 | - | - | |
|
| 0.3827 | 6290 | 1.704 | - | - | |
|
| 0.3833 | 6300 | 2.0725 | - | - | |
|
| 0.3839 | 6310 | 1.5827 | - | - | |
|
| 0.3845 | 6320 | 1.742 | - | - | |
|
| 0.3851 | 6330 | 1.2071 | - | - | |
|
| 0.3857 | 6340 | 1.4971 | - | - | |
|
| 0.3863 | 6350 | 1.5983 | - | - | |
|
| 0.3869 | 6360 | 1.6106 | - | - | |
|
| 0.3875 | 6370 | 2.1583 | - | - | |
|
| 0.3881 | 6380 | 1.4137 | - | - | |
|
| 0.3888 | 6390 | 1.9749 | - | - | |
|
| 0.3894 | 6400 | 2.0161 | - | - | |
|
| 0.3900 | 6410 | 1.6998 | - | - | |
|
| 0.3906 | 6420 | 1.6384 | - | - | |
|
| 0.3912 | 6430 | 1.6212 | - | - | |
|
| 0.3918 | 6440 | 1.6481 | - | - | |
|
| 0.3924 | 6450 | 1.4911 | - | - | |
|
| 0.3930 | 6460 | 1.9359 | - | - | |
|
| 0.3936 | 6470 | 1.8557 | - | - | |
|
| 0.3942 | 6480 | 1.6878 | - | - | |
|
| 0.3948 | 6490 | 1.2815 | - | - | |
|
| 0.3954 | 6500 | 1.5526 | 1.4838 | 0.8213 | |
|
| 0.3961 | 6510 | 1.4882 | - | - | |
|
| 0.3967 | 6520 | 1.7506 | - | - | |
|
| 0.3973 | 6530 | 1.802 | - | - | |
|
| 0.3979 | 6540 | 2.0784 | - | - | |
|
| 0.3985 | 6550 | 1.5526 | - | - | |
|
| 0.3991 | 6560 | 1.6841 | - | - | |
|
| 0.3997 | 6570 | 2.0724 | - | - | |
|
| 0.4003 | 6580 | 1.4056 | - | - | |
|
| 0.4009 | 6590 | 2.1506 | - | - | |
|
| 0.4015 | 6600 | 1.8221 | - | - | |
|
| 0.4021 | 6610 | 2.4267 | - | - | |
|
| 0.4027 | 6620 | 1.8921 | - | - | |
|
| 0.4034 | 6630 | 1.9451 | - | - | |
|
| 0.4040 | 6640 | 1.4018 | - | - | |
|
| 0.4046 | 6650 | 1.4622 | - | - | |
|
| 0.4052 | 6660 | 1.3527 | - | - | |
|
| 0.4058 | 6670 | 1.8987 | - | - | |
|
| 0.4064 | 6680 | 1.619 | - | - | |
|
| 0.4070 | 6690 | 1.6364 | - | - | |
|
| 0.4076 | 6700 | 1.8759 | - | - | |
|
| 0.4082 | 6710 | 1.9068 | - | - | |
|
| 0.4088 | 6720 | 1.7234 | - | - | |
|
| 0.4094 | 6730 | 1.6757 | - | - | |
|
| 0.4101 | 6740 | 2.3314 | - | - | |
|
| 0.4107 | 6750 | 1.7562 | - | - | |
|
| 0.4113 | 6760 | 1.8125 | - | - | |
|
| 0.4119 | 6770 | 1.8588 | - | - | |
|
| 0.4125 | 6780 | 1.5954 | - | - | |
|
| 0.4131 | 6790 | 1.5085 | - | - | |
|
| 0.4137 | 6800 | 1.7737 | - | - | |
|
| 0.4143 | 6810 | 1.6811 | - | - | |
|
| 0.4149 | 6820 | 1.7628 | - | - | |
|
| 0.4155 | 6830 | 2.0271 | - | - | |
|
| 0.4161 | 6840 | 1.3516 | - | - | |
|
| 0.4167 | 6850 | 1.9398 | - | - | |
|
| 0.4174 | 6860 | 1.5175 | - | - | |
|
| 0.4180 | 6870 | 1.4998 | - | - | |
|
| 0.4186 | 6880 | 1.4234 | - | - | |
|
| 0.4192 | 6890 | 1.7116 | - | - | |
|
| 0.4198 | 6900 | 1.5453 | - | - | |
|
| 0.4204 | 6910 | 1.5304 | - | - | |
|
| 0.4210 | 6920 | 1.3265 | - | - | |
|
| 0.4216 | 6930 | 1.6793 | - | - | |
|
| 0.4222 | 6940 | 1.4857 | - | - | |
|
| 0.4228 | 6950 | 1.6918 | - | - | |
|
| 0.4234 | 6960 | 1.5006 | - | - | |
|
| 0.4240 | 6970 | 1.3824 | - | - | |
|
| 0.4247 | 6980 | 1.6528 | - | - | |
|
| 0.4253 | 6990 | 2.0803 | - | - | |
|
| 0.4259 | 7000 | 1.6942 | 1.4184 | 0.8258 | |
|
| 0.4265 | 7010 | 1.5993 | - | - | |
|
| 0.4271 | 7020 | 1.3574 | - | - | |
|
| 0.4277 | 7030 | 1.6805 | - | - | |
|
| 0.4283 | 7040 | 1.7686 | - | - | |
|
| 0.4289 | 7050 | 2.0471 | - | - | |
|
| 0.4295 | 7060 | 1.4513 | - | - | |
|
| 0.4301 | 7070 | 1.5619 | - | - | |
|
| 0.4307 | 7080 | 1.6176 | - | - | |
|
| 0.4313 | 7090 | 1.7176 | - | - | |
|
| 0.4320 | 7100 | 1.5525 | - | - | |
|
| 0.4326 | 7110 | 1.6389 | - | - | |
|
| 0.4332 | 7120 | 1.9907 | - | - | |
|
| 0.4338 | 7130 | 1.7917 | - | - | |
|
| 0.4344 | 7140 | 1.8525 | - | - | |
|
| 0.4350 | 7150 | 1.3763 | - | - | |
|
| 0.4356 | 7160 | 2.2029 | - | - | |
|
| 0.4362 | 7170 | 1.2037 | - | - | |
|
| 0.4368 | 7180 | 1.5172 | - | - | |
|
| 0.4374 | 7190 | 1.9873 | - | - | |
|
| 0.4380 | 7200 | 1.9188 | - | - | |
|
| 0.4386 | 7210 | 1.5363 | - | - | |
|
| 0.4393 | 7220 | 2.1755 | - | - | |
|
| 0.4399 | 7230 | 1.6438 | - | - | |
|
| 0.4405 | 7240 | 1.5484 | - | - | |
|
| 0.4411 | 7250 | 1.5018 | - | - | |
|
| 0.4417 | 7260 | 1.1137 | - | - | |
|
| 0.4423 | 7270 | 1.8081 | - | - | |
|
| 0.4429 | 7280 | 1.5528 | - | - | |
|
| 0.4435 | 7290 | 1.5523 | - | - | |
|
| 0.4441 | 7300 | 1.8626 | - | - | |
|
| 0.4447 | 7310 | 1.6192 | - | - | |
|
| 0.4453 | 7320 | 1.8312 | - | - | |
|
| 0.4459 | 7330 | 1.4798 | - | - | |
|
| 0.4466 | 7340 | 1.7913 | - | - | |
|
| 0.4472 | 7350 | 1.9289 | - | - | |
|
| 0.4478 | 7360 | 1.683 | - | - | |
|
| 0.4484 | 7370 | 1.8003 | - | - | |
|
| 0.4490 | 7380 | 1.3889 | - | - | |
|
| 0.4496 | 7390 | 1.2813 | - | - | |
|
| 0.4502 | 7400 | 1.9099 | - | - | |
|
| 0.4508 | 7410 | 1.7677 | - | - | |
|
| 0.4514 | 7420 | 1.6221 | - | - | |
|
| 0.4520 | 7430 | 1.3471 | - | - | |
|
| 0.4526 | 7440 | 1.6078 | - | - | |
|
| 0.4532 | 7450 | 1.7363 | - | - | |
|
| 0.4539 | 7460 | 1.6542 | - | - | |
|
| 0.4545 | 7470 | 1.4896 | - | - | |
|
| 0.4551 | 7480 | 1.7227 | - | - | |
|
| 0.4557 | 7490 | 1.9539 | - | - | |
|
| 0.4563 | 7500 | 1.6945 | 1.3835 | 0.8243 | |
|
| 0.4569 | 7510 | 1.493 | - | - | |
|
| 0.4575 | 7520 | 1.6797 | - | - | |
|
| 0.4581 | 7530 | 1.4601 | - | - | |
|
| 0.4587 | 7540 | 1.7558 | - | - | |
|
| 0.4593 | 7550 | 1.3169 | - | - | |
|
| 0.4599 | 7560 | 1.3422 | - | - | |
|
| 0.4605 | 7570 | 1.9374 | - | - | |
|
| 0.4612 | 7580 | 1.4747 | - | - | |
|
| 0.4618 | 7590 | 1.7853 | - | - | |
|
| 0.4624 | 7600 | 1.518 | - | - | |
|
| 0.4630 | 7610 | 1.6688 | - | - | |
|
| 0.4636 | 7620 | 1.6041 | - | - | |
|
| 0.4642 | 7630 | 1.3648 | - | - | |
|
| 0.4648 | 7640 | 1.6959 | - | - | |
|
| 0.4654 | 7650 | 1.4328 | - | - | |
|
| 0.4660 | 7660 | 1.3943 | - | - | |
|
| 0.4666 | 7670 | 1.4107 | - | - | |
|
| 0.4672 | 7680 | 2.0494 | - | - | |
|
| 0.4678 | 7690 | 1.5551 | - | - | |
|
| 0.4685 | 7700 | 1.9023 | - | - | |
|
| 0.4691 | 7710 | 1.736 | - | - | |
|
| 0.4697 | 7720 | 1.2178 | - | - | |
|
| 0.4703 | 7730 | 1.4266 | - | - | |
|
| 0.4709 | 7740 | 1.9873 | - | - | |
|
| 0.4715 | 7750 | 1.6294 | - | - | |
|
| 0.4721 | 7760 | 1.8455 | - | - | |
|
| 0.4727 | 7770 | 1.3723 | - | - | |
|
| 0.4733 | 7780 | 2.1408 | - | - | |
|
| 0.4739 | 7790 | 1.9733 | - | - | |
|
| 0.4745 | 7800 | 1.4386 | - | - | |
|
| 0.4751 | 7810 | 1.7706 | - | - | |
|
| 0.4758 | 7820 | 1.7328 | - | - | |
|
| 0.4764 | 7830 | 1.6368 | - | - | |
|
| 0.4770 | 7840 | 1.8325 | - | - | |
|
| 0.4776 | 7850 | 2.1902 | - | - | |
|
| 0.4782 | 7860 | 1.6887 | - | - | |
|
| 0.4788 | 7870 | 1.1931 | - | - | |
|
| 0.4794 | 7880 | 1.4435 | - | - | |
|
| 0.4800 | 7890 | 1.5165 | - | - | |
|
| 0.4806 | 7900 | 1.4924 | - | - | |
|
| 0.4812 | 7910 | 1.8217 | - | - | |
|
| 0.4818 | 7920 | 1.9893 | - | - | |
|
| 0.4824 | 7930 | 1.9035 | - | - | |
|
| 0.4831 | 7940 | 2.0425 | - | - | |
|
| 0.4837 | 7950 | 1.9073 | - | - | |
|
| 0.4843 | 7960 | 1.3849 | - | - | |
|
| 0.4849 | 7970 | 1.9614 | - | - | |
|
| 0.4855 | 7980 | 1.6126 | - | - | |
|
| 0.4861 | 7990 | 1.6933 | - | - | |
|
| 0.4867 | 8000 | 1.7181 | 1.3778 | 0.8175 | |
|
| 0.4873 | 8010 | 2.1528 | - | - | |
|
| 0.4879 | 8020 | 1.6618 | - | - | |
|
| 0.4885 | 8030 | 1.7853 | - | - | |
|
| 0.4891 | 8040 | 1.79 | - | - | |
|
| 0.4897 | 8050 | 1.5977 | - | - | |
|
| 0.4904 | 8060 | 1.5511 | - | - | |
|
| 0.4910 | 8070 | 1.7976 | - | - | |
|
| 0.4916 | 8080 | 1.81 | - | - | |
|
| 0.4922 | 8090 | 1.5593 | - | - | |
|
| 0.4928 | 8100 | 1.9106 | - | - | |
|
| 0.4934 | 8110 | 1.3097 | - | - | |
|
| 0.4940 | 8120 | 1.4777 | - | - | |
|
| 0.4946 | 8130 | 1.3517 | - | - | |
|
| 0.4952 | 8140 | 1.5497 | - | - | |
|
| 0.4958 | 8150 | 1.7368 | - | - | |
|
| 0.4964 | 8160 | 1.6545 | - | - | |
|
| 0.4970 | 8170 | 1.6929 | - | - | |
|
| 0.4977 | 8180 | 1.4323 | - | - | |
|
| 0.4983 | 8190 | 1.5734 | - | - | |
|
| 0.4989 | 8200 | 1.5643 | - | - | |
|
| 0.4995 | 8210 | 1.3835 | - | - | |
|
| 0.5001 | 8220 | 1.5981 | - | - | |
|
| 0.5007 | 8230 | 1.4588 | - | - | |
|
| 0.5013 | 8240 | 1.3868 | - | - | |
|
| 0.5019 | 8250 | 1.2571 | - | - | |
|
| 0.5025 | 8260 | 1.277 | - | - | |
|
| 0.5031 | 8270 | 1.5071 | - | - | |
|
| 0.5037 | 8280 | 1.336 | - | - | |
|
| 0.5043 | 8290 | 1.5977 | - | - | |
|
| 0.5050 | 8300 | 1.2451 | - | - | |
|
| 0.5056 | 8310 | 1.5968 | - | - | |
|
| 0.5062 | 8320 | 1.6694 | - | - | |
|
| 0.5068 | 8330 | 1.1109 | - | - | |
|
| 0.5074 | 8340 | 2.2767 | - | - | |
|
| 0.5080 | 8350 | 1.3383 | - | - | |
|
| 0.5086 | 8360 | 1.5102 | - | - | |
|
| 0.5092 | 8370 | 1.939 | - | - | |
|
| 0.5098 | 8380 | 1.7686 | - | - | |
|
| 0.5104 | 8390 | 1.8728 | - | - | |
|
| 0.5110 | 8400 | 1.5706 | - | - | |
|
| 0.5117 | 8410 | 1.5601 | - | - | |
|
| 0.5123 | 8420 | 1.5278 | - | - | |
|
| 0.5129 | 8430 | 1.7908 | - | - | |
|
| 0.5135 | 8440 | 1.7933 | - | - | |
|
| 0.5141 | 8450 | 1.2068 | - | - | |
|
| 0.5147 | 8460 | 1.6638 | - | - | |
|
| 0.5153 | 8470 | 1.5271 | - | - | |
|
| 0.5159 | 8480 | 1.2856 | - | - | |
|
| 0.5165 | 8490 | 1.3721 | - | - | |
|
| 0.5171 | 8500 | 1.5358 | 1.3578 | 0.8231 | |
|
| 0.5177 | 8510 | 1.527 | - | - | |
|
| 0.5183 | 8520 | 1.3677 | - | - | |
|
| 0.5190 | 8530 | 1.5354 | - | - | |
|
| 0.5196 | 8540 | 1.3059 | - | - | |
|
| 0.5202 | 8550 | 1.7313 | - | - | |
|
| 0.5208 | 8560 | 1.4281 | - | - | |
|
| 0.5214 | 8570 | 1.6653 | - | - | |
|
| 0.5220 | 8580 | 1.0879 | - | - | |
|
| 0.5226 | 8590 | 1.6085 | - | - | |
|
| 0.5232 | 8600 | 1.568 | - | - | |
|
| 0.5238 | 8610 | 1.9912 | - | - | |
|
| 0.5244 | 8620 | 1.913 | - | - | |
|
| 0.5250 | 8630 | 1.4899 | - | - | |
|
| 0.5256 | 8640 | 1.6354 | - | - | |
|
| 0.5263 | 8650 | 1.7563 | - | - | |
|
| 0.5269 | 8660 | 1.9818 | - | - | |
|
| 0.5275 | 8670 | 1.4272 | - | - | |
|
| 0.5281 | 8680 | 1.4427 | - | - | |
|
| 0.5287 | 8690 | 1.6859 | - | - | |
|
| 0.5293 | 8700 | 1.6195 | - | - | |
|
| 0.5299 | 8710 | 1.6415 | - | - | |
|
| 0.5305 | 8720 | 1.4718 | - | - | |
|
| 0.5311 | 8730 | 1.2839 | - | - | |
|
| 0.5317 | 8740 | 1.7617 | - | - | |
|
| 0.5323 | 8750 | 1.7704 | - | - | |
|
| 0.5329 | 8760 | 1.4339 | - | - | |
|
| 0.5336 | 8770 | 1.2745 | - | - | |
|
| 0.5342 | 8780 | 1.474 | - | - | |
|
| 0.5348 | 8790 | 1.6072 | - | - | |
|
| 0.5354 | 8800 | 1.6181 | - | - | |
|
| 0.5360 | 8810 | 1.7749 | - | - | |
|
| 0.5366 | 8820 | 1.5674 | - | - | |
|
| 0.5372 | 8830 | 1.7084 | - | - | |
|
| 0.5378 | 8840 | 1.5086 | - | - | |
|
| 0.5384 | 8850 | 1.3243 | - | - | |
|
| 0.5390 | 8860 | 1.5248 | - | - | |
|
| 0.5396 | 8870 | 1.6092 | - | - | |
|
| 0.5402 | 8880 | 1.8286 | - | - | |
|
| 0.5409 | 8890 | 1.4337 | - | - | |
|
| 0.5415 | 8900 | 1.9393 | - | - | |
|
| 0.5421 | 8910 | 1.6412 | - | - | |
|
| 0.5427 | 8920 | 1.2774 | - | - | |
|
| 0.5433 | 8930 | 1.1121 | - | - | |
|
| 0.5439 | 8940 | 1.5913 | - | - | |
|
| 0.5445 | 8950 | 2.1098 | - | - | |
|
| 0.5451 | 8960 | 1.3627 | - | - | |
|
| 0.5457 | 8970 | 1.8817 | - | - | |
|
| 0.5463 | 8980 | 1.1466 | - | - | |
|
| 0.5469 | 8990 | 1.427 | - | - | |
|
| 0.5475 | 9000 | 1.4717 | 1.4102 | 0.8178 | |
|
| 0.5482 | 9010 | 1.509 | - | - | |
|
| 0.5488 | 9020 | 1.5914 | - | - | |
|
| 0.5494 | 9030 | 1.7844 | - | - | |
|
| 0.5500 | 9040 | 1.6509 | - | - | |
|
| 0.5506 | 9050 | 1.7327 | - | - | |
|
| 0.5512 | 9060 | 1.4727 | - | - | |
|
| 0.5518 | 9070 | 1.4369 | - | - | |
|
| 0.5524 | 9080 | 1.8911 | - | - | |
|
| 0.5530 | 9090 | 1.5244 | - | - | |
|
| 0.5536 | 9100 | 1.5994 | - | - | |
|
| 0.5542 | 9110 | 1.9137 | - | - | |
|
| 0.5548 | 9120 | 1.4161 | - | - | |
|
| 0.5555 | 9130 | 1.5631 | - | - | |
|
| 0.5561 | 9140 | 1.7852 | - | - | |
|
| 0.5567 | 9150 | 1.4497 | - | - | |
|
| 0.5573 | 9160 | 1.2413 | - | - | |
|
| 0.5579 | 9170 | 1.1672 | - | - | |
|
| 0.5585 | 9180 | 1.6636 | - | - | |
|
| 0.5591 | 9190 | 1.4866 | - | - | |
|
| 0.5597 | 9200 | 1.6563 | - | - | |
|
| 0.5603 | 9210 | 2.0463 | - | - | |
|
| 0.5609 | 9220 | 1.2139 | - | - | |
|
| 0.5615 | 9230 | 1.3252 | - | - | |
|
| 0.5621 | 9240 | 1.6008 | - | - | |
|
| 0.5628 | 9250 | 1.8193 | - | - | |
|
| 0.5634 | 9260 | 1.6998 | - | - | |
|
| 0.5640 | 9270 | 1.551 | - | - | |
|
| 0.5646 | 9280 | 1.3007 | - | - | |
|
| 0.5652 | 9290 | 1.6006 | - | - | |
|
| 0.5658 | 9300 | 1.7028 | - | - | |
|
| 0.5664 | 9310 | 1.7579 | - | - | |
|
| 0.5670 | 9320 | 1.7845 | - | - | |
|
| 0.5676 | 9330 | 1.6506 | - | - | |
|
| 0.5682 | 9340 | 1.5992 | - | - | |
|
| 0.5688 | 9350 | 1.9422 | - | - | |
|
| 0.5694 | 9360 | 1.9625 | - | - | |
|
| 0.5701 | 9370 | 1.6415 | - | - | |
|
| 0.5707 | 9380 | 1.5999 | - | - | |
|
| 0.5713 | 9390 | 1.129 | - | - | |
|
| 0.5719 | 9400 | 1.7184 | - | - | |
|
| 0.5725 | 9410 | 1.618 | - | - | |
|
| 0.5731 | 9420 | 1.7857 | - | - | |
|
| 0.5737 | 9430 | 1.7363 | - | - | |
|
| 0.5743 | 9440 | 1.3789 | - | - | |
|
| 0.5749 | 9450 | 1.6749 | - | - | |
|
| 0.5755 | 9460 | 1.4316 | - | - | |
|
| 0.5761 | 9470 | 1.2857 | - | - | |
|
| 0.5767 | 9480 | 1.2245 | - | - | |
|
| 0.5774 | 9490 | 1.7602 | - | - | |
|
| 0.5780 | 9500 | 1.4389 | 1.3897 | 0.8258 | |
|
| 0.5786 | 9510 | 1.6818 | - | - | |
|
| 0.5792 | 9520 | 1.38 | - | - | |
|
| 0.5798 | 9530 | 1.1306 | - | - | |
|
| 0.5804 | 9540 | 1.6627 | - | - | |
|
| 0.5810 | 9550 | 1.4518 | - | - | |
|
| 0.5816 | 9560 | 1.8925 | - | - | |
|
| 0.5822 | 9570 | 1.9371 | - | - | |
|
| 0.5828 | 9580 | 1.7479 | - | - | |
|
| 0.5834 | 9590 | 1.5293 | - | - | |
|
| 0.5840 | 9600 | 1.5156 | - | - | |
|
| 0.5847 | 9610 | 1.6572 | - | - | |
|
| 0.5853 | 9620 | 1.7011 | - | - | |
|
| 0.5859 | 9630 | 1.2592 | - | - | |
|
| 0.5865 | 9640 | 1.9584 | - | - | |
|
| 0.5871 | 9650 | 1.4101 | - | - | |
|
| 0.5877 | 9660 | 1.7749 | - | - | |
|
| 0.5883 | 9670 | 1.4748 | - | - | |
|
| 0.5889 | 9680 | 1.6937 | - | - | |
|
| 0.5895 | 9690 | 1.371 | - | - | |
|
| 0.5901 | 9700 | 1.5079 | - | - | |
|
| 0.5907 | 9710 | 1.4735 | - | - | |
|
| 0.5913 | 9720 | 1.1619 | - | - | |
|
| 0.5920 | 9730 | 1.6992 | - | - | |
|
| 0.5926 | 9740 | 1.3543 | - | - | |
|
| 0.5932 | 9750 | 1.8505 | - | - | |
|
| 0.5938 | 9760 | 1.2082 | - | - | |
|
| 0.5944 | 9770 | 1.4975 | - | - | |
|
| 0.5950 | 9780 | 1.5958 | - | - | |
|
| 0.5956 | 9790 | 1.7489 | - | - | |
|
| 0.5962 | 9800 | 1.6759 | - | - | |
|
| 0.5968 | 9810 | 1.5673 | - | - | |
|
| 0.5974 | 9820 | 1.3411 | - | - | |
|
| 0.5980 | 9830 | 1.532 | - | - | |
|
| 0.5986 | 9840 | 1.5557 | - | - | |
|
| 0.5993 | 9850 | 1.3259 | - | - | |
|
| 0.5999 | 9860 | 1.5657 | - | - | |
|
| 0.6005 | 9870 | 1.2814 | - | - | |
|
| 0.6011 | 9880 | 1.1037 | - | - | |
|
| 0.6017 | 9890 | 1.1898 | - | - | |
|
| 0.6023 | 9900 | 1.5659 | - | - | |
|
| 0.6029 | 9910 | 1.1897 | - | - | |
|
| 0.6035 | 9920 | 1.6582 | - | - | |
|
| 0.6041 | 9930 | 1.2092 | - | - | |
|
| 0.6047 | 9940 | 1.4406 | - | - | |
|
| 0.6053 | 9950 | 1.3649 | - | - | |
|
| 0.6059 | 9960 | 1.5076 | - | - | |
|
| 0.6066 | 9970 | 1.1618 | - | - | |
|
| 0.6072 | 9980 | 1.0621 | - | - | |
|
| 0.6078 | 9990 | 1.0977 | - | - | |
|
| 0.6084 | 10000 | 1.2553 | 1.3001 | 0.8154 | |
|
| 0.6090 | 10010 | 1.4638 | - | - | |
|
| 0.6096 | 10020 | 1.8555 | - | - | |
|
| 0.6102 | 10030 | 1.727 | - | - | |
|
| 0.6108 | 10040 | 1.6654 | - | - | |
|
| 0.6114 | 10050 | 1.4262 | - | - | |
|
| 0.6120 | 10060 | 1.3796 | - | - | |
|
| 0.6126 | 10070 | 1.5312 | - | - | |
|
| 0.6133 | 10080 | 1.8316 | - | - | |
|
| 0.6139 | 10090 | 1.3924 | - | - | |
|
| 0.6145 | 10100 | 1.7344 | - | - | |
|
| 0.6151 | 10110 | 1.0926 | - | - | |
|
| 0.6157 | 10120 | 1.1192 | - | - | |
|
| 0.6163 | 10130 | 1.7303 | - | - | |
|
| 0.6169 | 10140 | 1.6186 | - | - | |
|
| 0.6175 | 10150 | 1.2103 | - | - | |
|
| 0.6181 | 10160 | 1.4246 | - | - | |
|
| 0.6187 | 10170 | 1.592 | - | - | |
|
| 0.6193 | 10180 | 1.168 | - | - | |
|
| 0.6199 | 10190 | 1.2142 | - | - | |
|
| 0.6206 | 10200 | 1.6069 | - | - | |
|
| 0.6212 | 10210 | 1.7001 | - | - | |
|
| 0.6218 | 10220 | 1.6453 | - | - | |
|
| 0.6224 | 10230 | 1.6861 | - | - | |
|
| 0.6230 | 10240 | 1.887 | - | - | |
|
| 0.6236 | 10250 | 1.2798 | - | - | |
|
| 0.6242 | 10260 | 1.4773 | - | - | |
|
| 0.6248 | 10270 | 1.3837 | - | - | |
|
| 0.6254 | 10280 | 1.8983 | - | - | |
|
| 0.6260 | 10290 | 1.6301 | - | - | |
|
| 0.6266 | 10300 | 1.4255 | - | - | |
|
| 0.6272 | 10310 | 1.733 | - | - | |
|
| 0.6279 | 10320 | 1.7981 | - | - | |
|
| 0.6285 | 10330 | 1.2714 | - | - | |
|
| 0.6291 | 10340 | 1.4311 | - | - | |
|
| 0.6297 | 10350 | 1.6387 | - | - | |
|
| 0.6303 | 10360 | 1.4633 | - | - | |
|
| 0.6309 | 10370 | 1.4588 | - | - | |
|
| 0.6315 | 10380 | 1.6747 | - | - | |
|
| 0.6321 | 10390 | 1.3883 | - | - | |
|
| 0.6327 | 10400 | 1.8623 | - | - | |
|
| 0.6333 | 10410 | 1.6833 | - | - | |
|
| 0.6339 | 10420 | 1.1938 | - | - | |
|
| 0.6345 | 10430 | 1.412 | - | - | |
|
| 0.6352 | 10440 | 1.3658 | - | - | |
|
| 0.6358 | 10450 | 1.5629 | - | - | |
|
| 0.6364 | 10460 | 1.2093 | - | - | |
|
| 0.6370 | 10470 | 1.6207 | - | - | |
|
| 0.6376 | 10480 | 1.4018 | - | - | |
|
| 0.6382 | 10490 | 1.4735 | - | - | |
|
| 0.6388 | 10500 | 1.3286 | 1.2855 | 0.8233 | |
|
| 0.6394 | 10510 | 1.46 | - | - | |
|
| 0.6400 | 10520 | 1.5266 | - | - | |
|
| 0.6406 | 10530 | 1.6415 | - | - | |
|
| 0.6412 | 10540 | 1.5083 | - | - | |
|
| 0.6418 | 10550 | 1.2792 | - | - | |
|
| 0.6425 | 10560 | 2.0078 | - | - | |
|
| 0.6431 | 10570 | 1.2172 | - | - | |
|
| 0.6437 | 10580 | 1.3436 | - | - | |
|
| 0.6443 | 10590 | 1.0533 | - | - | |
|
| 0.6449 | 10600 | 1.9115 | - | - | |
|
| 0.6455 | 10610 | 2.281 | - | - | |
|
| 0.6461 | 10620 | 1.4983 | - | - | |
|
| 0.6467 | 10630 | 1.8566 | - | - | |
|
| 0.6473 | 10640 | 1.3474 | - | - | |
|
| 0.6479 | 10650 | 1.477 | - | - | |
|
| 0.6485 | 10660 | 1.5494 | - | - | |
|
| 0.6491 | 10670 | 1.8323 | - | - | |
|
| 0.6498 | 10680 | 1.4012 | - | - | |
|
| 0.6504 | 10690 | 1.5852 | - | - | |
|
| 0.6510 | 10700 | 1.3499 | - | - | |
|
| 0.6516 | 10710 | 0.9315 | - | - | |
|
| 0.6522 | 10720 | 1.7463 | - | - | |
|
| 0.6528 | 10730 | 1.4528 | - | - | |
|
| 0.6534 | 10740 | 1.1842 | - | - | |
|
| 0.6540 | 10750 | 1.1089 | - | - | |
|
| 0.6546 | 10760 | 1.2017 | - | - | |
|
| 0.6552 | 10770 | 1.5193 | - | - | |
|
| 0.6558 | 10780 | 1.1479 | - | - | |
|
| 0.6564 | 10790 | 1.7483 | - | - | |
|
| 0.6571 | 10800 | 1.8314 | - | - | |
|
| 0.6577 | 10810 | 1.4631 | - | - | |
|
| 0.6583 | 10820 | 1.2126 | - | - | |
|
| 0.6589 | 10830 | 1.2363 | - | - | |
|
| 0.6595 | 10840 | 1.5896 | - | - | |
|
| 0.6601 | 10850 | 1.4226 | - | - | |
|
| 0.6607 | 10860 | 1.6945 | - | - | |
|
| 0.6613 | 10870 | 1.6902 | - | - | |
|
| 0.6619 | 10880 | 1.6942 | - | - | |
|
| 0.6625 | 10890 | 1.2605 | - | - | |
|
| 0.6631 | 10900 | 1.1422 | - | - | |
|
| 0.6637 | 10910 | 1.2763 | - | - | |
|
| 0.6644 | 10920 | 1.5722 | - | - | |
|
| 0.6650 | 10930 | 1.5957 | - | - | |
|
| 0.6656 | 10940 | 1.1748 | - | - | |
|
| 0.6662 | 10950 | 1.6957 | - | - | |
|
| 0.6668 | 10960 | 1.5614 | - | - | |
|
| 0.6674 | 10970 | 1.0166 | - | - | |
|
| 0.6680 | 10980 | 1.5466 | - | - | |
|
| 0.6686 | 10990 | 1.324 | - | - | |
|
| 0.6692 | 11000 | 1.3835 | 1.2825 | 0.8215 | |
|
| 0.6698 | 11010 | 1.9266 | - | - | |
|
| 0.6704 | 11020 | 1.1919 | - | - | |
|
| 0.6710 | 11030 | 1.5146 | - | - | |
|
| 0.6717 | 11040 | 1.6479 | - | - | |
|
| 0.6723 | 11050 | 1.273 | - | - | |
|
| 0.6729 | 11060 | 1.7737 | - | - | |
|
| 0.6735 | 11070 | 1.3816 | - | - | |
|
| 0.6741 | 11080 | 1.6265 | - | - | |
|
| 0.6747 | 11090 | 1.7054 | - | - | |
|
| 0.6753 | 11100 | 1.0439 | - | - | |
|
| 0.6759 | 11110 | 1.8858 | - | - | |
|
| 0.6765 | 11120 | 1.5733 | - | - | |
|
| 0.6771 | 11130 | 2.1534 | - | - | |
|
| 0.6777 | 11140 | 1.5005 | - | - | |
|
| 0.6783 | 11150 | 1.3508 | - | - | |
|
| 0.6790 | 11160 | 2.0103 | - | - | |
|
| 0.6796 | 11170 | 1.1585 | - | - | |
|
| 0.6802 | 11180 | 1.8996 | - | - | |
|
| 0.6808 | 11190 | 1.6425 | - | - | |
|
| 0.6814 | 11200 | 1.0645 | - | - | |
|
| 0.6820 | 11210 | 1.5969 | - | - | |
|
| 0.6826 | 11220 | 1.1813 | - | - | |
|
| 0.6832 | 11230 | 1.6146 | - | - | |
|
| 0.6838 | 11240 | 1.2571 | - | - | |
|
| 0.6844 | 11250 | 1.4466 | - | - | |
|
| 0.6850 | 11260 | 1.8446 | - | - | |
|
| 0.6856 | 11270 | 1.4882 | - | - | |
|
| 0.6863 | 11280 | 1.3993 | - | - | |
|
| 0.6869 | 11290 | 1.0834 | - | - | |
|
| 0.6875 | 11300 | 1.4249 | - | - | |
|
| 0.6881 | 11310 | 1.5861 | - | - | |
|
| 0.6887 | 11320 | 1.3802 | - | - | |
|
| 0.6893 | 11330 | 1.3079 | - | - | |
|
| 0.6899 | 11340 | 2.0982 | - | - | |
|
| 0.6905 | 11350 | 1.9461 | - | - | |
|
| 0.6911 | 11360 | 1.2621 | - | - | |
|
| 0.6917 | 11370 | 1.4936 | - | - | |
|
| 0.6923 | 11380 | 1.4284 | - | - | |
|
| 0.6929 | 11390 | 1.4797 | - | - | |
|
| 0.6936 | 11400 | 1.2065 | - | - | |
|
| 0.6942 | 11410 | 1.4993 | - | - | |
|
| 0.6948 | 11420 | 1.4127 | - | - | |
|
| 0.6954 | 11430 | 1.1966 | - | - | |
|
| 0.6960 | 11440 | 1.7712 | - | - | |
|
| 0.6966 | 11450 | 1.3437 | - | - | |
|
| 0.6972 | 11460 | 1.2769 | - | - | |
|
| 0.6978 | 11470 | 1.1741 | - | - | |
|
| 0.6984 | 11480 | 1.7074 | - | - | |
|
| 0.6990 | 11490 | 1.6412 | - | - | |
|
| 0.6996 | 11500 | 1.4801 | 1.2417 | 0.8235 | |
|
| 0.7002 | 11510 | 1.2771 | - | - | |
|
| 0.7009 | 11520 | 1.6028 | - | - | |
|
| 0.7015 | 11530 | 1.5173 | - | - | |
|
| 0.7021 | 11540 | 1.2637 | - | - | |
|
| 0.7027 | 11550 | 1.5151 | - | - | |
|
| 0.7033 | 11560 | 0.9938 | - | - | |
|
| 0.7039 | 11570 | 1.7667 | - | - | |
|
| 0.7045 | 11580 | 1.5383 | - | - | |
|
| 0.7051 | 11590 | 1.6786 | - | - | |
|
| 0.7057 | 11600 | 1.5303 | - | - | |
|
| 0.7063 | 11610 | 1.3843 | - | - | |
|
| 0.7069 | 11620 | 1.0366 | - | - | |
|
| 0.7076 | 11630 | 1.6604 | - | - | |
|
| 0.7082 | 11640 | 1.2742 | - | - | |
|
| 0.7088 | 11650 | 1.2652 | - | - | |
|
| 0.7094 | 11660 | 1.8622 | - | - | |
|
| 0.7100 | 11670 | 1.4731 | - | - | |
|
| 0.7106 | 11680 | 1.4854 | - | - | |
|
| 0.7112 | 11690 | 1.3751 | - | - | |
|
| 0.7118 | 11700 | 1.1033 | - | - | |
|
| 0.7124 | 11710 | 1.5411 | - | - | |
|
| 0.7130 | 11720 | 1.5136 | - | - | |
|
| 0.7136 | 11730 | 1.3675 | - | - | |
|
| 0.7142 | 11740 | 1.1926 | - | - | |
|
| 0.7149 | 11750 | 1.5906 | - | - | |
|
| 0.7155 | 11760 | 1.5062 | - | - | |
|
| 0.7161 | 11770 | 1.3581 | - | - | |
|
| 0.7167 | 11780 | 1.0382 | - | - | |
|
| 0.7173 | 11790 | 1.5024 | - | - | |
|
| 0.7179 | 11800 | 1.1324 | - | - | |
|
| 0.7185 | 11810 | 1.3408 | - | - | |
|
| 0.7191 | 11820 | 1.5514 | - | - | |
|
| 0.7197 | 11830 | 1.4818 | - | - | |
|
| 0.7203 | 11840 | 1.6802 | - | - | |
|
| 0.7209 | 11850 | 1.3433 | - | - | |
|
| 0.7215 | 11860 | 1.4655 | - | - | |
|
| 0.7222 | 11870 | 1.3235 | - | - | |
|
| 0.7228 | 11880 | 1.1081 | - | - | |
|
| 0.7234 | 11890 | 1.7482 | - | - | |
|
| 0.7240 | 11900 | 1.7194 | - | - | |
|
| 0.7246 | 11910 | 1.38 | - | - | |
|
| 0.7252 | 11920 | 1.8826 | - | - | |
|
| 0.7258 | 11930 | 1.5682 | - | - | |
|
| 0.7264 | 11940 | 1.578 | - | - | |
|
| 0.7270 | 11950 | 1.4856 | - | - | |
|
| 0.7276 | 11960 | 1.1114 | - | - | |
|
| 0.7282 | 11970 | 1.5247 | - | - | |
|
| 0.7288 | 11980 | 1.4876 | - | - | |
|
| 0.7295 | 11990 | 2.2117 | - | - | |
|
| 0.7301 | 12000 | 1.5645 | 1.1920 | 0.8275 | |
|
| 0.7307 | 12010 | 1.4485 | - | - | |
|
| 0.7313 | 12020 | 1.5233 | - | - | |
|
| 0.7319 | 12030 | 1.3488 | - | - | |
|
| 0.7325 | 12040 | 1.4454 | - | - | |
|
| 0.7331 | 12050 | 1.2349 | - | - | |
|
| 0.7337 | 12060 | 1.8142 | - | - | |
|
| 0.7343 | 12070 | 1.4516 | - | - | |
|
| 0.7349 | 12080 | 1.675 | - | - | |
|
| 0.7355 | 12090 | 1.6949 | - | - | |
|
| 0.7361 | 12100 | 1.6257 | - | - | |
|
| 0.7368 | 12110 | 1.2147 | - | - | |
|
| 0.7374 | 12120 | 1.0857 | - | - | |
|
| 0.7380 | 12130 | 1.5563 | - | - | |
|
| 0.7386 | 12140 | 1.3987 | - | - | |
|
| 0.7392 | 12150 | 1.7647 | - | - | |
|
| 0.7398 | 12160 | 1.6893 | - | - | |
|
| 0.7404 | 12170 | 0.9929 | - | - | |
|
| 0.7410 | 12180 | 1.2464 | - | - | |
|
| 0.7416 | 12190 | 1.4941 | - | - | |
|
| 0.7422 | 12200 | 1.5126 | - | - | |
|
| 0.7428 | 12210 | 1.2593 | - | - | |
|
| 0.7434 | 12220 | 1.8845 | - | - | |
|
| 0.7441 | 12230 | 1.4532 | - | - | |
|
| 0.7447 | 12240 | 1.0518 | - | - | |
|
| 0.7453 | 12250 | 1.2119 | - | - | |
|
| 0.7459 | 12260 | 1.4779 | - | - | |
|
| 0.7465 | 12270 | 1.5664 | - | - | |
|
| 0.7471 | 12280 | 1.5649 | - | - | |
|
| 0.7477 | 12290 | 1.5707 | - | - | |
|
| 0.7483 | 12300 | 1.8687 | - | - | |
|
| 0.7489 | 12310 | 1.5701 | - | - | |
|
| 0.7495 | 12320 | 1.4976 | - | - | |
|
| 0.7501 | 12330 | 1.6453 | - | - | |
|
| 0.7507 | 12340 | 1.5682 | - | - | |
|
| 0.7514 | 12350 | 1.3979 | - | - | |
|
| 0.7520 | 12360 | 1.5963 | - | - | |
|
| 0.7526 | 12370 | 1.5869 | - | - | |
|
| 0.7532 | 12380 | 1.2895 | - | - | |
|
| 0.7538 | 12390 | 1.9576 | - | - | |
|
| 0.7544 | 12400 | 1.4295 | - | - | |
|
| 0.7550 | 12410 | 1.5312 | - | - | |
|
| 0.7556 | 12420 | 1.5011 | - | - | |
|
| 0.7562 | 12430 | 0.9731 | - | - | |
|
| 0.7568 | 12440 | 1.3914 | - | - | |
|
| 0.7574 | 12450 | 1.1753 | - | - | |
|
| 0.7580 | 12460 | 1.3632 | - | - | |
|
| 0.7587 | 12470 | 1.6386 | - | - | |
|
| 0.7593 | 12480 | 1.6025 | - | - | |
|
| 0.7599 | 12490 | 1.1752 | - | - | |
|
| 0.7605 | 12500 | 1.3974 | 1.2794 | 0.8238 | |
|
| 0.7611 | 12510 | 1.3956 | - | - | |
|
| 0.7617 | 12520 | 1.2351 | - | - | |
|
| 0.7623 | 12530 | 1.4127 | - | - | |
|
| 0.7629 | 12540 | 1.7883 | - | - | |
|
| 0.7635 | 12550 | 1.0432 | - | - | |
|
| 0.7641 | 12560 | 1.4543 | - | - | |
|
| 0.7647 | 12570 | 1.4084 | - | - | |
|
| 0.7653 | 12580 | 1.2074 | - | - | |
|
| 0.7660 | 12590 | 1.1233 | - | - | |
|
| 0.7666 | 12600 | 1.9668 | - | - | |
|
| 0.7672 | 12610 | 1.45 | - | - | |
|
| 0.7678 | 12620 | 0.9704 | - | - | |
|
| 0.7684 | 12630 | 1.2995 | - | - | |
|
| 0.7690 | 12640 | 1.6687 | - | - | |
|
| 0.7696 | 12650 | 1.1225 | - | - | |
|
| 0.7702 | 12660 | 1.8066 | - | - | |
|
| 0.7708 | 12670 | 1.7483 | - | - | |
|
| 0.7714 | 12680 | 1.2952 | - | - | |
|
| 0.7720 | 12690 | 1.4849 | - | - | |
|
| 0.7726 | 12700 | 1.2228 | - | - | |
|
| 0.7733 | 12710 | 1.6122 | - | - | |
|
| 0.7739 | 12720 | 1.5829 | - | - | |
|
| 0.7745 | 12730 | 2.0172 | - | - | |
|
| 0.7751 | 12740 | 1.4703 | - | - | |
|
| 0.7757 | 12750 | 1.1206 | - | - | |
|
| 0.7763 | 12760 | 1.4244 | - | - | |
|
| 0.7769 | 12770 | 1.4493 | - | - | |
|
| 0.7775 | 12780 | 1.4453 | - | - | |
|
| 0.7781 | 12790 | 1.0365 | - | - | |
|
| 0.7787 | 12800 | 1.6928 | - | - | |
|
| 0.7793 | 12810 | 1.0903 | - | - | |
|
| 0.7799 | 12820 | 1.5105 | - | - | |
|
| 0.7806 | 12830 | 1.2915 | - | - | |
|
| 0.7812 | 12840 | 1.5206 | - | - | |
|
| 0.7818 | 12850 | 1.6987 | - | - | |
|
| 0.7824 | 12860 | 1.5632 | - | - | |
|
| 0.7830 | 12870 | 1.471 | - | - | |
|
| 0.7836 | 12880 | 1.2518 | - | - | |
|
| 0.7842 | 12890 | 1.722 | - | - | |
|
| 0.7848 | 12900 | 0.9939 | - | - | |
|
| 0.7854 | 12910 | 1.3787 | - | - | |
|
| 0.7860 | 12920 | 1.5475 | - | - | |
|
| 0.7866 | 12930 | 1.2914 | - | - | |
|
| 0.7872 | 12940 | 1.091 | - | - | |
|
| 0.7879 | 12950 | 1.5526 | - | - | |
|
| 0.7885 | 12960 | 1.2848 | - | - | |
|
| 0.7891 | 12970 | 1.2415 | - | - | |
|
| 0.7897 | 12980 | 1.1347 | - | - | |
|
| 0.7903 | 12990 | 1.121 | - | - | |
|
| 0.7909 | 13000 | 1.5788 | 1.2654 | 0.8258 | |
|
| 0.7915 | 13010 | 1.0074 | - | - | |
|
| 0.7921 | 13020 | 1.3633 | - | - | |
|
| 0.7927 | 13030 | 1.557 | - | - | |
|
| 0.7933 | 13040 | 1.574 | - | - | |
|
| 0.7939 | 13050 | 1.1801 | - | - | |
|
| 0.7945 | 13060 | 1.3837 | - | - | |
|
| 0.7952 | 13070 | 1.2044 | - | - | |
|
| 0.7958 | 13080 | 1.7323 | - | - | |
|
| 0.7964 | 13090 | 1.3453 | - | - | |
|
| 0.7970 | 13100 | 1.4675 | - | - | |
|
| 0.7976 | 13110 | 1.7154 | - | - | |
|
| 0.7982 | 13120 | 1.5061 | - | - | |
|
| 0.7988 | 13130 | 1.4173 | - | - | |
|
| 0.7994 | 13140 | 1.5918 | - | - | |
|
| 0.8000 | 13150 | 1.2103 | - | - | |
|
| 0.8006 | 13160 | 1.3647 | - | - | |
|
| 0.8012 | 13170 | 1.3772 | - | - | |
|
| 0.8018 | 13180 | 1.3683 | - | - | |
|
| 0.8025 | 13190 | 1.2738 | - | - | |
|
| 0.8031 | 13200 | 1.4833 | - | - | |
|
| 0.8037 | 13210 | 1.1754 | - | - | |
|
| 0.8043 | 13220 | 1.2481 | - | - | |
|
| 0.8049 | 13230 | 1.6989 | - | - | |
|
| 0.8055 | 13240 | 1.1239 | - | - | |
|
| 0.8061 | 13250 | 1.4266 | - | - | |
|
| 0.8067 | 13260 | 1.8042 | - | - | |
|
| 0.8073 | 13270 | 1.5118 | - | - | |
|
| 0.8079 | 13280 | 1.3938 | - | - | |
|
| 0.8085 | 13290 | 1.4846 | - | - | |
|
| 0.8092 | 13300 | 1.2361 | - | - | |
|
| 0.8098 | 13310 | 1.6859 | - | - | |
|
| 0.8104 | 13320 | 1.5884 | - | - | |
|
| 0.8110 | 13330 | 1.0808 | - | - | |
|
| 0.8116 | 13340 | 1.8004 | - | - | |
|
| 0.8122 | 13350 | 1.2696 | - | - | |
|
| 0.8128 | 13360 | 1.4711 | - | - | |
|
| 0.8134 | 13370 | 1.4094 | - | - | |
|
| 0.8140 | 13380 | 1.8256 | - | - | |
|
| 0.8146 | 13390 | 1.4466 | - | - | |
|
| 0.8152 | 13400 | 1.7838 | - | - | |
|
| 0.8158 | 13410 | 1.4568 | - | - | |
|
| 0.8165 | 13420 | 1.4807 | - | - | |
|
| 0.8171 | 13430 | 1.121 | - | - | |
|
| 0.8177 | 13440 | 1.5304 | - | - | |
|
| 0.8183 | 13450 | 1.4296 | - | - | |
|
| 0.8189 | 13460 | 1.4236 | - | - | |
|
| 0.8195 | 13470 | 1.4924 | - | - | |
|
| 0.8201 | 13480 | 1.3195 | - | - | |
|
| 0.8207 | 13490 | 1.1388 | - | - | |
|
| 0.8213 | 13500 | 1.3079 | 1.2216 | 0.8273 | |
|
| 0.8219 | 13510 | 1.384 | - | - | |
|
| 0.8225 | 13520 | 1.7214 | - | - | |
|
| 0.8231 | 13530 | 1.5503 | - | - | |
|
| 0.8238 | 13540 | 1.7425 | - | - | |
|
| 0.8244 | 13550 | 1.2538 | - | - | |
|
| 0.8250 | 13560 | 1.4936 | - | - | |
|
| 0.8256 | 13570 | 2.0129 | - | - | |
|
| 0.8262 | 13580 | 1.6402 | - | - | |
|
| 0.8268 | 13590 | 1.5443 | - | - | |
|
| 0.8274 | 13600 | 1.0524 | - | - | |
|
| 0.8280 | 13610 | 1.3582 | - | - | |
|
| 0.8286 | 13620 | 1.4235 | - | - | |
|
| 0.8292 | 13630 | 1.3687 | - | - | |
|
| 0.8298 | 13640 | 1.4482 | - | - | |
|
| 0.8304 | 13650 | 1.0604 | - | - | |
|
| 0.8311 | 13660 | 1.7019 | - | - | |
|
| 0.8317 | 13670 | 1.1192 | - | - | |
|
| 0.8323 | 13680 | 1.3547 | - | - | |
|
| 0.8329 | 13690 | 1.1816 | - | - | |
|
| 0.8335 | 13700 | 1.486 | - | - | |
|
| 0.8341 | 13710 | 1.4978 | - | - | |
|
| 0.8347 | 13720 | 1.0322 | - | - | |
|
| 0.8353 | 13730 | 1.289 | - | - | |
|
| 0.8359 | 13740 | 1.7544 | - | - | |
|
| 0.8365 | 13750 | 1.4588 | - | - | |
|
| 0.8371 | 13760 | 1.5693 | - | - | |
|
| 0.8377 | 13770 | 1.4008 | - | - | |
|
| 0.8384 | 13780 | 1.4061 | - | - | |
|
| 0.8390 | 13790 | 1.2596 | - | - | |
|
| 0.8396 | 13800 | 0.9596 | - | - | |
|
| 0.8402 | 13810 | 1.277 | - | - | |
|
| 0.8408 | 13820 | 1.4089 | - | - | |
|
| 0.8414 | 13830 | 1.6815 | - | - | |
|
| 0.8420 | 13840 | 1.2408 | - | - | |
|
| 0.8426 | 13850 | 1.3465 | - | - | |
|
| 0.8432 | 13860 | 1.1695 | - | - | |
|
| 0.8438 | 13870 | 1.8185 | - | - | |
|
| 0.8444 | 13880 | 1.5296 | - | - | |
|
| 0.8450 | 13890 | 1.3257 | - | - | |
|
| 0.8457 | 13900 | 1.4704 | - | - | |
|
| 0.8463 | 13910 | 1.3792 | - | - | |
|
| 0.8469 | 13920 | 1.5088 | - | - | |
|
| 0.8475 | 13930 | 1.3569 | - | - | |
|
| 0.8481 | 13940 | 1.3878 | - | - | |
|
| 0.8487 | 13950 | 0.9975 | - | - | |
|
| 0.8493 | 13960 | 1.5422 | - | - | |
|
| 0.8499 | 13970 | 1.6637 | - | - | |
|
| 0.8505 | 13980 | 0.9729 | - | - | |
|
| 0.8511 | 13990 | 1.4382 | - | - | |
|
| 0.8517 | 14000 | 1.1246 | 1.1785 | 0.8309 | |
|
| 0.8523 | 14010 | 1.3756 | - | - | |
|
| 0.8530 | 14020 | 1.5027 | - | - | |
|
| 0.8536 | 14030 | 1.1609 | - | - | |
|
| 0.8542 | 14040 | 1.5587 | - | - | |
|
| 0.8548 | 14050 | 1.2486 | - | - | |
|
| 0.8554 | 14060 | 1.753 | - | - | |
|
| 0.8560 | 14070 | 1.409 | - | - | |
|
| 0.8566 | 14080 | 1.5223 | - | - | |
|
| 0.8572 | 14090 | 1.1854 | - | - | |
|
| 0.8578 | 14100 | 1.4969 | - | - | |
|
| 0.8584 | 14110 | 1.0604 | - | - | |
|
| 0.8590 | 14120 | 1.4747 | - | - | |
|
| 0.8596 | 14130 | 1.5508 | - | - | |
|
| 0.8603 | 14140 | 1.5344 | - | - | |
|
| 0.8609 | 14150 | 1.7916 | - | - | |
|
| 0.8615 | 14160 | 1.3731 | - | - | |
|
| 0.8621 | 14170 | 1.3569 | - | - | |
|
| 0.8627 | 14180 | 1.5019 | - | - | |
|
| 0.8633 | 14190 | 1.3325 | - | - | |
|
| 0.8639 | 14200 | 1.2559 | - | - | |
|
| 0.8645 | 14210 | 1.3446 | - | - | |
|
| 0.8651 | 14220 | 1.2522 | - | - | |
|
| 0.8657 | 14230 | 1.591 | - | - | |
|
| 0.8663 | 14240 | 1.3394 | - | - | |
|
| 0.8669 | 14250 | 1.7925 | - | - | |
|
| 0.8676 | 14260 | 1.1992 | - | - | |
|
| 0.8682 | 14270 | 0.9731 | - | - | |
|
| 0.8688 | 14280 | 1.5569 | - | - | |
|
| 0.8694 | 14290 | 1.4972 | - | - | |
|
| 0.8700 | 14300 | 1.1386 | - | - | |
|
| 0.8706 | 14310 | 1.2275 | - | - | |
|
| 0.8712 | 14320 | 1.1375 | - | - | |
|
| 0.8718 | 14330 | 1.2279 | - | - | |
|
| 0.8724 | 14340 | 1.5978 | - | - | |
|
| 0.8730 | 14350 | 1.368 | - | - | |
|
| 0.8736 | 14360 | 1.4374 | - | - | |
|
| 0.8742 | 14370 | 1.5241 | - | - | |
|
| 0.8749 | 14380 | 1.3376 | - | - | |
|
| 0.8755 | 14390 | 1.304 | - | - | |
|
| 0.8761 | 14400 | 1.2986 | - | - | |
|
| 0.8767 | 14410 | 1.3942 | - | - | |
|
| 0.8773 | 14420 | 1.134 | - | - | |
|
| 0.8779 | 14430 | 1.2712 | - | - | |
|
| 0.8785 | 14440 | 1.6443 | - | - | |
|
| 0.8791 | 14450 | 1.2777 | - | - | |
|
| 0.8797 | 14460 | 1.7116 | - | - | |
|
| 0.8803 | 14470 | 1.78 | - | - | |
|
| 0.8809 | 14480 | 1.7652 | - | - | |
|
| 0.8815 | 14490 | 1.3949 | - | - | |
|
| 0.8822 | 14500 | 1.3022 | 1.1783 | 0.8252 | |
|
| 0.8828 | 14510 | 1.2504 | - | - | |
|
| 0.8834 | 14520 | 1.2586 | - | - | |
|
| 0.8840 | 14530 | 1.4352 | - | - | |
|
| 0.8846 | 14540 | 1.4309 | - | - | |
|
| 0.8852 | 14550 | 1.5711 | - | - | |
|
| 0.8858 | 14560 | 1.6292 | - | - | |
|
| 0.8864 | 14570 | 1.4811 | - | - | |
|
| 0.8870 | 14580 | 1.4706 | - | - | |
|
| 0.8876 | 14590 | 1.0935 | - | - | |
|
| 0.8882 | 14600 | 1.1068 | - | - | |
|
| 0.8888 | 14610 | 1.2239 | - | - | |
|
| 0.8895 | 14620 | 1.5649 | - | - | |
|
| 0.8901 | 14630 | 1.2018 | - | - | |
|
| 0.8907 | 14640 | 0.8614 | - | - | |
|
| 0.8913 | 14650 | 1.1482 | - | - | |
|
| 0.8919 | 14660 | 1.3146 | - | - | |
|
| 0.8925 | 14670 | 2.0086 | - | - | |
|
| 0.8931 | 14680 | 1.5841 | - | - | |
|
| 0.8937 | 14690 | 1.2938 | - | - | |
|
| 0.8943 | 14700 | 1.489 | - | - | |
|
| 0.8949 | 14710 | 1.3906 | - | - | |
|
| 0.8955 | 14720 | 1.468 | - | - | |
|
| 0.8961 | 14730 | 1.5555 | - | - | |
|
| 0.8968 | 14740 | 1.553 | - | - | |
|
| 0.8974 | 14750 | 1.6922 | - | - | |
|
| 0.8980 | 14760 | 1.3165 | - | - | |
|
| 0.8986 | 14770 | 1.4174 | - | - | |
|
| 0.8992 | 14780 | 1.4738 | - | - | |
|
| 0.8998 | 14790 | 1.249 | - | - | |
|
| 0.9004 | 14800 | 0.9243 | - | - | |
|
| 0.9010 | 14810 | 1.5281 | - | - | |
|
| 0.9016 | 14820 | 1.5963 | - | - | |
|
| 0.9022 | 14830 | 1.4076 | - | - | |
|
| 0.9028 | 14840 | 1.9995 | - | - | |
|
| 0.9034 | 14850 | 1.4246 | - | - | |
|
| 0.9041 | 14860 | 1.1859 | - | - | |
|
| 0.9047 | 14870 | 1.1842 | - | - | |
|
| 0.9053 | 14880 | 1.8168 | - | - | |
|
| 0.9059 | 14890 | 1.2219 | - | - | |
|
| 0.9065 | 14900 | 1.568 | - | - | |
|
| 0.9071 | 14910 | 1.1653 | - | - | |
|
| 0.9077 | 14920 | 1.4645 | - | - | |
|
| 0.9083 | 14930 | 1.772 | - | - | |
|
| 0.9089 | 14940 | 1.352 | - | - | |
|
| 0.9095 | 14950 | 1.7391 | - | - | |
|
| 0.9101 | 14960 | 1.3099 | - | - | |
|
| 0.9108 | 14970 | 1.1886 | - | - | |
|
| 0.9114 | 14980 | 1.5082 | - | - | |
|
| 0.9120 | 14990 | 1.1452 | - | - | |
|
| 0.9126 | 15000 | 1.2752 | 1.1663 | 0.8282 | |
|
| 0.9132 | 15010 | 1.2883 | - | - | |
|
| 0.9138 | 15020 | 0.8176 | - | - | |
|
| 0.9144 | 15030 | 1.0663 | - | - | |
|
| 0.9150 | 15040 | 1.1921 | - | - | |
|
| 0.9156 | 15050 | 1.4164 | - | - | |
|
| 0.9162 | 15060 | 1.4369 | - | - | |
|
| 0.9168 | 15070 | 0.9838 | - | - | |
|
| 0.9174 | 15080 | 1.4876 | - | - | |
|
| 0.9181 | 15090 | 1.3266 | - | - | |
|
| 0.9187 | 15100 | 1.3242 | - | - | |
|
| 0.9193 | 15110 | 1.3357 | - | - | |
|
| 0.9199 | 15120 | 1.1474 | - | - | |
|
| 0.9205 | 15130 | 1.3194 | - | - | |
|
| 0.9211 | 15140 | 1.384 | - | - | |
|
| 0.9217 | 15150 | 1.2812 | - | - | |
|
| 0.9223 | 15160 | 1.4338 | - | - | |
|
| 0.9229 | 15170 | 1.1992 | - | - | |
|
| 0.9235 | 15180 | 1.7401 | - | - | |
|
| 0.9241 | 15190 | 1.8902 | - | - | |
|
| 0.9247 | 15200 | 1.2403 | - | - | |
|
| 0.9254 | 15210 | 1.7942 | - | - | |
|
| 0.9260 | 15220 | 1.4337 | - | - | |
|
| 0.9266 | 15230 | 1.0351 | - | - | |
|
| 0.9272 | 15240 | 1.351 | - | - | |
|
| 0.9278 | 15250 | 1.2316 | - | - | |
|
| 0.9284 | 15260 | 1.5589 | - | - | |
|
| 0.9290 | 15270 | 1.4415 | - | - | |
|
| 0.9296 | 15280 | 1.4452 | - | - | |
|
| 0.9302 | 15290 | 1.4772 | - | - | |
|
| 0.9308 | 15300 | 1.264 | - | - | |
|
| 0.9314 | 15310 | 1.1724 | - | - | |
|
| 0.9320 | 15320 | 1.5825 | - | - | |
|
| 0.9327 | 15330 | 1.1312 | - | - | |
|
| 0.9333 | 15340 | 1.2535 | - | - | |
|
| 0.9339 | 15350 | 1.1378 | - | - | |
|
| 0.9345 | 15360 | 1.7896 | - | - | |
|
| 0.9351 | 15370 | 1.2483 | - | - | |
|
| 0.9357 | 15380 | 1.7102 | - | - | |
|
| 0.9363 | 15390 | 1.2379 | - | - | |
|
| 0.9369 | 15400 | 1.6028 | - | - | |
|
| 0.9375 | 15410 | 1.0948 | - | - | |
|
| 0.9381 | 15420 | 1.1264 | - | - | |
|
| 0.9387 | 15430 | 1.3729 | - | - | |
|
| 0.9393 | 15440 | 1.2847 | - | - | |
|
| 0.9400 | 15450 | 1.3319 | - | - | |
|
| 0.9406 | 15460 | 1.3103 | - | - | |
|
| 0.9412 | 15470 | 1.5767 | - | - | |
|
| 0.9418 | 15480 | 1.0792 | - | - | |
|
| 0.9424 | 15490 | 1.224 | - | - | |
|
| 0.9430 | 15500 | 1.3049 | 1.1331 | 0.8258 | |
|
| 0.9436 | 15510 | 1.5395 | - | - | |
|
| 0.9442 | 15520 | 1.1628 | - | - | |
|
| 0.9448 | 15530 | 1.2871 | - | - | |
|
| 0.9454 | 15540 | 1.307 | - | - | |
|
| 0.9460 | 15550 | 0.9516 | - | - | |
|
| 0.9466 | 15560 | 1.5388 | - | - | |
|
| 0.9473 | 15570 | 1.0599 | - | - | |
|
| 0.9479 | 15580 | 1.7436 | - | - | |
|
| 0.9485 | 15590 | 2.1334 | - | - | |
|
| 0.9491 | 15600 | 1.3232 | - | - | |
|
| 0.9497 | 15610 | 1.4176 | - | - | |
|
| 0.9503 | 15620 | 1.5354 | - | - | |
|
| 0.9509 | 15630 | 1.9014 | - | - | |
|
| 0.9515 | 15640 | 1.2929 | - | - | |
|
| 0.9521 | 15650 | 1.4666 | - | - | |
|
| 0.9527 | 15660 | 1.938 | - | - | |
|
| 0.9533 | 15670 | 1.1603 | - | - | |
|
| 0.9539 | 15680 | 1.061 | - | - | |
|
| 0.9546 | 15690 | 1.289 | - | - | |
|
| 0.9552 | 15700 | 1.3645 | - | - | |
|
| 0.9558 | 15710 | 1.1367 | - | - | |
|
| 0.9564 | 15720 | 1.2846 | - | - | |
|
| 0.9570 | 15730 | 1.1225 | - | - | |
|
| 0.9576 | 15740 | 1.4048 | - | - | |
|
| 0.9582 | 15750 | 1.5854 | - | - | |
|
| 0.9588 | 15760 | 1.409 | - | - | |
|
| 0.9594 | 15770 | 1.3045 | - | - | |
|
| 0.9600 | 15780 | 1.7578 | - | - | |
|
| 0.9606 | 15790 | 1.4655 | - | - | |
|
| 0.9612 | 15800 | 1.0723 | - | - | |
|
| 0.9619 | 15810 | 1.1035 | - | - | |
|
| 0.9625 | 15820 | 1.6162 | - | - | |
|
| 0.9631 | 15830 | 1.1339 | - | - | |
|
| 0.9637 | 15840 | 1.6471 | - | - | |
|
| 0.9643 | 15850 | 1.3788 | - | - | |
|
| 0.9649 | 15860 | 1.3356 | - | - | |
|
| 0.9655 | 15870 | 1.8376 | - | - | |
|
| 0.9661 | 15880 | 1.4895 | - | - | |
|
| 0.9667 | 15890 | 1.2197 | - | - | |
|
| 0.9673 | 15900 | 1.0962 | - | - | |
|
| 0.9679 | 15910 | 1.585 | - | - | |
|
| 0.9685 | 15920 | 1.758 | - | - | |
|
| 0.9692 | 15930 | 1.7716 | - | - | |
|
| 0.9698 | 15940 | 1.5795 | - | - | |
|
| 0.9704 | 15950 | 1.1865 | - | - | |
|
| 0.9710 | 15960 | 1.2476 | - | - | |
|
| 0.9716 | 15970 | 1.6856 | - | - | |
|
| 0.9722 | 15980 | 1.373 | - | - | |
|
| 0.9728 | 15990 | 1.3042 | - | - | |
|
| 0.9734 | 16000 | 1.4431 | 1.1469 | 0.8275 | |
|
| 0.9740 | 16010 | 1.4134 | - | - | |
|
| 0.9746 | 16020 | 1.5269 | - | - | |
|
| 0.9752 | 16030 | 1.7413 | - | - | |
|
| 0.9758 | 16040 | 0.8637 | - | - | |
|
| 0.9765 | 16050 | 2.0316 | - | - | |
|
| 0.9771 | 16060 | 1.0894 | - | - | |
|
| 0.9777 | 16070 | 1.3783 | - | - | |
|
| 0.9783 | 16080 | 1.5935 | - | - | |
|
| 0.9789 | 16090 | 1.8202 | - | - | |
|
| 0.9795 | 16100 | 1.2285 | - | - | |
|
| 0.9801 | 16110 | 1.5669 | - | - | |
|
| 0.9807 | 16120 | 1.1432 | - | - | |
|
| 0.9813 | 16130 | 0.8829 | - | - | |
|
| 0.9819 | 16140 | 1.1269 | - | - | |
|
| 0.9825 | 16150 | 1.3104 | - | - | |
|
| 0.9831 | 16160 | 1.4493 | - | - | |
|
| 0.9838 | 16170 | 1.3959 | - | - | |
|
| 0.9844 | 16180 | 1.3502 | - | - | |
|
| 0.9850 | 16190 | 1.3163 | - | - | |
|
| 0.9856 | 16200 | 1.1932 | - | - | |
|
| 0.9862 | 16210 | 1.4838 | - | - | |
|
| 0.9868 | 16220 | 1.6469 | - | - | |
|
| 0.9874 | 16230 | 1.4591 | - | - | |
|
| 0.9880 | 16240 | 1.4215 | - | - | |
|
| 0.9886 | 16250 | 1.1366 | - | - | |
|
| 0.9892 | 16260 | 0.9371 | - | - | |
|
| 0.9898 | 16270 | 1.1567 | - | - | |
|
| 0.9904 | 16280 | 1.7559 | - | - | |
|
| 0.9911 | 16290 | 1.6389 | - | - | |
|
| 0.9917 | 16300 | 1.2592 | - | - | |
|
| 0.9923 | 16310 | 1.2974 | - | - | |
|
| 0.9929 | 16320 | 1.3399 | - | - | |
|
| 0.9935 | 16330 | 1.032 | - | - | |
|
| 0.9941 | 16340 | 1.1623 | - | - | |
|
| 0.9947 | 16350 | 1.3795 | - | - | |
|
| 0.9953 | 16360 | 1.1348 | - | - | |
|
| 0.9959 | 16370 | 1.5053 | - | - | |
|
| 0.9965 | 16380 | 1.349 | - | - | |
|
| 0.9971 | 16390 | 1.1635 | - | - | |
|
| 0.9977 | 16400 | 1.4926 | - | - | |
|
| 0.9984 | 16410 | 1.676 | - | - | |
|
| 0.9990 | 16420 | 1.4676 | - | - | |
|
| 0.9996 | 16430 | 1.053 | - | - | |
|
|
|
</details> |
|
|
|
### Framework Versions |
|
- Python: 3.10.12 |
|
- Sentence Transformers: 3.2.0 |
|
- Transformers: 4.44.2 |
|
- PyTorch: 2.4.1+cu121 |
|
- Accelerate: 0.34.2 |
|
- Datasets: 3.0.1 |
|
- Tokenizers: 0.19.1 |
|
|
|
## Citation |
|
|
|
### BibTeX |
|
|
|
#### Sentence Transformers |
|
```bibtex |
|
@inproceedings{reimers-2019-sentence-bert, |
|
title = "Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks", |
|
author = "Reimers, Nils and Gurevych, Iryna", |
|
booktitle = "Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing", |
|
month = "11", |
|
year = "2019", |
|
publisher = "Association for Computational Linguistics", |
|
url = "https://arxiv.org/abs/1908.10084", |
|
} |
|
``` |
|
|
|
#### MatryoshkaLoss |
|
```bibtex |
|
@misc{kusupati2024matryoshka, |
|
title={Matryoshka Representation Learning}, |
|
author={Aditya Kusupati and Gantavya Bhatt and Aniket Rege and Matthew Wallingford and Aditya Sinha and Vivek Ramanujan and William Howard-Snyder and Kaifeng Chen and Sham Kakade and Prateek Jain and Ali Farhadi}, |
|
year={2024}, |
|
eprint={2205.13147}, |
|
archivePrefix={arXiv}, |
|
primaryClass={cs.LG} |
|
} |
|
``` |
|
|
|
#### 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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