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  ---
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- library_name: transformers
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- tags: []
 
 
 
 
 
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  ---
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- # Model Card for Model ID
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-
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- <!-- Provide a quick summary of what the model is/does. -->
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-
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-
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-
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- ## Model Details
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-
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- ### Model Description
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-
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- <!-- Provide a longer summary of what this model is. -->
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-
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- This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
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-
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- - **Developed by:** [More Information Needed]
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-
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- ## Uses
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-
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- <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
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-
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- ### Direct Use
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-
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- <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
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- [More Information Needed]
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-
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- ### Downstream Use [optional]
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- <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
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- [More Information Needed]
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-
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- ### Out-of-Scope Use
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- <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
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- [More Information Needed]
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-
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- ## Bias, Risks, and Limitations
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-
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- <!-- This section is meant to convey both technical and sociotechnical limitations. -->
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-
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- [More Information Needed]
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-
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- ### Recommendations
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- <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
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- Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
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-
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- ## How to Get Started with the Model
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-
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- Use the code below to get started with the model.
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-
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- [More Information Needed]
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-
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- ## Training Details
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-
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- ### Training Data
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- <!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
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- [More Information Needed]
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-
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- ### Training Procedure
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-
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- <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
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-
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- #### Preprocessing [optional]
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-
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- [More Information Needed]
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-
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-
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- #### Training Hyperparameters
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-
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- - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
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-
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- #### Speeds, Sizes, Times [optional]
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-
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- <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
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- [More Information Needed]
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-
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- ## Evaluation
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-
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- <!-- This section describes the evaluation protocols and provides the results. -->
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-
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- ### Testing Data, Factors & Metrics
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- #### Testing Data
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- <!-- This should link to a Dataset Card if possible. -->
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-
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- [More Information Needed]
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-
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- #### Factors
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-
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- <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
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- [More Information Needed]
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-
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- #### Metrics
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-
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- <!-- These are the evaluation metrics being used, ideally with a description of why. -->
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-
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- [More Information Needed]
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-
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- ### Results
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- [More Information Needed]
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-
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- #### Summary
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- ## Model Examination [optional]
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-
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- <!-- Relevant interpretability work for the model goes here -->
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- [More Information Needed]
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- ## Environmental Impact
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- <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
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-
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- Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
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-
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- - **Hardware Type:** [More Information Needed]
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- - **Hours used:** [More Information Needed]
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- - **Cloud Provider:** [More Information Needed]
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- - **Compute Region:** [More Information Needed]
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- - **Carbon Emitted:** [More Information Needed]
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-
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- ## Technical Specifications [optional]
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-
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- ### Model Architecture and Objective
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- [More Information Needed]
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- ### Compute Infrastructure
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- #### Hardware
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- [More Information Needed]
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- #### Software
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- [More Information Needed]
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-
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- ## Citation [optional]
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-
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- <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
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- **BibTeX:**
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- [More Information Needed]
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- **APA:**
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- [More Information Needed]
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- ## Glossary [optional]
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-
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- <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
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- [More Information Needed]
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- ## More Information [optional]
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- [More Information Needed]
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- ## Model Card Authors [optional]
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- [More Information Needed]
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- ## Model Card Contact
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- [More Information Needed]
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ license: apache-2.0
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+ base_model: mistralai/Mistral-7B-v0.3
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: mistral7b-prot_drug_v3
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+ results: []
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  ---
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # mistral7b-prot_drug_v3
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+
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+ This model is a fine-tuned version of [mistralai/Mistral-7B-v0.3](https://huggingface.co/mistralai/Mistral-7B-v0.3) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 3.8262
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 5e-07
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+ - train_batch_size: 8
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+ - eval_batch_size: 8
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+ - seed: 42
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+ - distributed_type: multi-GPU
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+ - num_devices: 4
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+ - gradient_accumulation_steps: 2
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+ - total_train_batch_size: 64
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+ - total_eval_batch_size: 32
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: cosine
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+ - lr_scheduler_warmup_steps: 150
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+ - training_steps: 10000
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-----:|:-----:|:---------------:|
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+ | 12.2364 | 0.001 | 10 | 12.2580 |
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+ | 12.2538 | 0.002 | 20 | 12.2579 |
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+ | 12.2055 | 0.003 | 30 | 12.1440 |
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+ | 11.6943 | 0.004 | 40 | 11.6417 |
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+ | 10.6452 | 0.005 | 50 | 10.5062 |
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+ | 9.8223 | 0.006 | 60 | 9.7715 |
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+ | 9.4474 | 0.007 | 70 | 9.3852 |
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+ | 9.1453 | 0.008 | 80 | 9.1029 |
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+ | 8.9615 | 0.009 | 90 | 8.9474 |
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+ | 8.8465 | 0.01 | 100 | 8.8406 |
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+ | 8.7879 | 0.011 | 110 | 8.7700 |
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+ | 8.7827 | 0.012 | 120 | 8.7186 |
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+ | 8.6959 | 0.013 | 130 | 8.6640 |
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+ | 8.6054 | 0.014 | 140 | 8.6110 |
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+ | 8.5561 | 0.015 | 150 | 8.5594 |
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+ | 8.5363 | 0.016 | 160 | 8.5088 |
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+ | 8.4524 | 0.017 | 170 | 8.4677 |
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+ | 8.4272 | 0.018 | 180 | 8.4286 |
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+ | 8.4157 | 0.019 | 190 | 8.3923 |
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+ | 8.3718 | 0.02 | 200 | 8.3564 |
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+ | 8.378 | 0.021 | 210 | 8.3324 |
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+ | 8.2871 | 0.022 | 220 | 8.3087 |
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+ | 8.2918 | 0.023 | 230 | 8.2867 |
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+ | 8.2612 | 0.024 | 240 | 8.2691 |
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+ | 8.2566 | 0.025 | 250 | 8.2496 |
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+ | 8.244 | 0.026 | 260 | 8.2343 |
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+ | 8.2375 | 0.027 | 270 | 8.2196 |
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+ | 8.2281 | 0.028 | 280 | 8.2038 |
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+ | 8.1959 | 0.029 | 290 | 8.1880 |
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+ | 8.1431 | 0.03 | 300 | 8.1741 |
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+ | 8.1935 | 0.031 | 310 | 8.1616 |
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+ | 8.1176 | 0.032 | 320 | 8.1498 |
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+ | 8.1305 | 0.033 | 330 | 8.1371 |
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+ | 8.1629 | 0.034 | 340 | 8.1234 |
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+ | 8.1547 | 0.035 | 350 | 8.1136 |
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+ | 8.1045 | 0.036 | 360 | 8.0993 |
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+ | 8.0428 | 0.037 | 370 | 8.0869 |
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+ | 8.0725 | 0.038 | 380 | 8.0743 |
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+ | 8.1115 | 0.039 | 390 | 8.0618 |
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+ | 8.0546 | 0.04 | 400 | 8.0459 |
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+ | 8.0069 | 0.041 | 410 | 8.0330 |
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+ | 8.0262 | 0.042 | 420 | 8.0187 |
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+ | 8.0163 | 0.043 | 430 | 8.0051 |
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+ | 8.033 | 0.044 | 440 | 7.9856 |
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+ | 7.9801 | 0.045 | 450 | 7.9659 |
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+ | 8.0104 | 0.046 | 460 | 7.9476 |
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+ | 7.9065 | 0.047 | 470 | 7.9328 |
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+ | 7.9391 | 0.048 | 480 | 7.9146 |
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+ | 7.9332 | 0.049 | 490 | 7.8955 |
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+ | 7.9022 | 0.05 | 500 | 7.8777 |
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+ | 7.9582 | 0.051 | 510 | 7.8616 |
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+ | 7.796 | 0.052 | 520 | 7.8458 |
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+ | 7.8622 | 0.053 | 530 | 7.8395 |
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+ | 7.7842 | 0.054 | 540 | 7.8322 |
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+ | 7.7378 | 0.055 | 550 | 7.8200 |
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+ | 7.8312 | 0.056 | 560 | 7.7969 |
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+ | 7.7772 | 0.057 | 570 | 7.7759 |
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+ | 7.7291 | 0.058 | 580 | 7.7632 |
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+ | 7.6453 | 0.059 | 590 | 7.7421 |
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+ | 7.7074 | 0.06 | 600 | 7.7219 |
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+ | 7.7426 | 0.061 | 610 | 7.7082 |
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+ | 7.7015 | 0.062 | 620 | 7.6867 |
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+ | 7.7255 | 0.063 | 630 | 7.6894 |
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+ | 7.5727 | 0.064 | 640 | 7.6845 |
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+ | 7.5956 | 0.065 | 650 | 7.6511 |
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+ | 7.6682 | 0.066 | 660 | 7.6424 |
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+ | 7.6006 | 0.067 | 670 | 7.6298 |
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+ | 7.5442 | 0.068 | 680 | 7.6068 |
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+ | 7.4813 | 0.069 | 690 | 7.5913 |
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+ | 7.5443 | 0.07 | 700 | 7.5727 |
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+ | 7.4999 | 0.071 | 710 | 7.5776 |
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+ | 7.4107 | 0.072 | 720 | 7.5509 |
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+ | 7.2988 | 0.073 | 730 | 7.5337 |
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+ | 7.4865 | 0.074 | 740 | 7.5346 |
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+ | 7.3154 | 0.075 | 750 | 7.5266 |
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+ | 7.3384 | 0.076 | 760 | 7.5374 |
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+ | 7.3143 | 0.077 | 770 | 7.4840 |
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+ | 7.2809 | 0.078 | 780 | 7.4725 |
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+ | 7.4503 | 0.079 | 790 | 7.4531 |
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+ | 7.4023 | 0.08 | 800 | 7.4552 |
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+ | 7.3706 | 0.081 | 810 | 7.4295 |
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+ | 7.2162 | 0.082 | 820 | 7.4149 |
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+ | 7.3256 | 0.083 | 830 | 7.4004 |
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+ | 7.2159 | 0.084 | 840 | 7.3929 |
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+ | 7.2994 | 0.085 | 850 | 7.3833 |
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+ | 7.2248 | 0.086 | 860 | 7.3756 |
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+ | 7.1024 | 0.087 | 870 | 7.3452 |
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+ | 6.998 | 0.088 | 880 | 7.3480 |
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+ | 7.1061 | 0.089 | 890 | 7.3221 |
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+ | 7.0424 | 0.09 | 900 | 7.3194 |
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+ | 6.9365 | 0.091 | 910 | 7.3024 |
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+ | 7.2529 | 0.092 | 920 | 7.2871 |
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+ | 7.0291 | 0.093 | 930 | 7.2664 |
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+ | 7.0028 | 0.094 | 940 | 7.2584 |
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+ | 7.0356 | 0.095 | 950 | 7.2406 |
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+ | 7.2134 | 0.096 | 960 | 7.2339 |
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+ | 6.9633 | 0.097 | 970 | 7.2348 |
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+ | 6.9787 | 0.098 | 980 | 7.2054 |
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+ | 6.8275 | 0.099 | 990 | 7.2243 |
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+ | 6.7732 | 0.1 | 1000 | 7.1846 |
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+ | 6.8486 | 0.101 | 1010 | 7.1695 |
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+ | 6.9993 | 0.102 | 1020 | 7.1584 |
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+ | 6.8375 | 0.103 | 1030 | 7.1449 |
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+ | 6.9323 | 0.104 | 1040 | 7.1625 |
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+ | 6.6631 | 0.105 | 1050 | 7.1204 |
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+ | 6.8773 | 0.106 | 1060 | 7.1152 |
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+ | 6.7742 | 0.107 | 1070 | 7.0885 |
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+ | 6.6346 | 0.108 | 1080 | 7.0931 |
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+ | 6.8887 | 0.109 | 1090 | 7.0688 |
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+ | 6.6428 | 0.11 | 1100 | 7.0510 |
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+ | 6.7303 | 0.111 | 1110 | 7.0427 |
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+ | 6.6575 | 0.112 | 1120 | 7.0429 |
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+ | 6.7771 | 0.113 | 1130 | 7.0457 |
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+ | 6.8116 | 0.114 | 1140 | 7.0086 |
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+ | 6.5378 | 0.115 | 1150 | 6.9987 |
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+ | 6.5589 | 0.116 | 1160 | 6.9816 |
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+ | 6.7171 | 0.117 | 1170 | 6.9716 |
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+ | 6.7946 | 0.118 | 1180 | 6.9628 |
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+ | 6.5923 | 0.119 | 1190 | 6.9751 |
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+ | 6.586 | 0.12 | 1200 | 6.9526 |
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+ | 6.5764 | 0.121 | 1210 | 6.9108 |
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+ | 6.6872 | 0.122 | 1220 | 6.9042 |
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+ | 6.624 | 0.123 | 1230 | 6.8768 |
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+ | 6.5932 | 0.124 | 1240 | 6.8674 |
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+ | 6.5751 | 0.125 | 1250 | 6.8498 |
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+ | 6.5996 | 0.126 | 1260 | 6.8611 |
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+ | 6.4514 | 0.127 | 1270 | 6.8212 |
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+ | 6.3967 | 0.128 | 1280 | 6.8187 |
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+ | 6.5969 | 0.129 | 1290 | 6.7885 |
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+ | 6.2129 | 0.13 | 1300 | 6.7825 |
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+ | 6.3972 | 0.131 | 1310 | 6.7691 |
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+ | 6.2758 | 0.132 | 1320 | 6.7835 |
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+ | 6.3034 | 0.133 | 1330 | 6.7440 |
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+ | 6.223 | 0.134 | 1340 | 6.7446 |
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+ | 6.1803 | 0.135 | 1350 | 6.7228 |
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+ | 6.1901 | 0.136 | 1360 | 6.7312 |
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+ | 6.1488 | 0.137 | 1370 | 6.7461 |
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+ | 6.4268 | 0.138 | 1380 | 6.6944 |
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+ | 6.1097 | 0.139 | 1390 | 6.6996 |
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+ | 6.2065 | 0.14 | 1400 | 6.6577 |
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+ | 6.1712 | 0.141 | 1410 | 6.6695 |
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+ | 6.2496 | 0.142 | 1420 | 6.6388 |
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+ | 6.0074 | 0.143 | 1430 | 6.6316 |
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+ | 6.0693 | 0.144 | 1440 | 6.6413 |
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+ | 6.2797 | 0.145 | 1450 | 6.6134 |
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+ | 6.1959 | 0.146 | 1460 | 6.5926 |
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+ | 5.688 | 0.147 | 1470 | 6.6092 |
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+ | 5.9011 | 0.148 | 1480 | 6.5788 |
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+ | 6.0966 | 0.149 | 1490 | 6.5760 |
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+ | 5.988 | 0.15 | 1500 | 6.5549 |
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+ | 5.9875 | 0.151 | 1510 | 6.5311 |
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+ | 6.2712 | 0.152 | 1520 | 6.5395 |
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+ | 5.876 | 0.153 | 1530 | 6.4933 |
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+ | 6.2395 | 0.154 | 1540 | 6.4818 |
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+ | 6.1336 | 0.155 | 1550 | 6.4639 |
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+ | 6.0093 | 0.156 | 1560 | 6.4503 |
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+ | 5.7843 | 0.157 | 1570 | 6.4412 |
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+ | 5.8853 | 0.158 | 1580 | 6.4297 |
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+ | 5.7267 | 0.159 | 1590 | 6.4310 |
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+ | 5.6362 | 0.16 | 1600 | 6.4207 |
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+ | 5.7044 | 0.161 | 1610 | 6.3831 |
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+ | 5.5665 | 0.162 | 1620 | 6.4134 |
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+ | 5.8903 | 0.163 | 1630 | 6.3434 |
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+ | 5.7121 | 0.164 | 1640 | 6.3576 |
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+ | 5.8969 | 0.165 | 1650 | 6.3181 |
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+ | 5.4254 | 0.166 | 1660 | 6.3523 |
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+ | 5.9054 | 0.167 | 1670 | 6.2956 |
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+ | 5.5509 | 0.168 | 1680 | 6.2967 |
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+ | 5.8448 | 0.169 | 1690 | 6.2745 |
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+ | 5.5366 | 0.17 | 1700 | 6.2954 |
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+ | 5.4746 | 0.171 | 1710 | 6.2462 |
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+ | 5.5834 | 0.172 | 1720 | 6.2781 |
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+ | 5.3858 | 0.173 | 1730 | 6.2220 |
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+ | 5.4884 | 0.174 | 1740 | 6.2547 |
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+ | 5.2019 | 0.175 | 1750 | 6.2042 |
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+ | 5.5335 | 0.176 | 1760 | 6.2185 |
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+ | 5.3422 | 0.177 | 1770 | 6.1912 |
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+ | 5.0847 | 0.178 | 1780 | 6.2377 |
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+ | 5.2894 | 0.179 | 1790 | 6.1815 |
234
+ | 5.6486 | 0.18 | 1800 | 6.1853 |
235
+ | 5.7692 | 0.181 | 1810 | 6.1511 |
236
+ | 5.5303 | 0.182 | 1820 | 6.1688 |
237
+ | 5.7258 | 0.183 | 1830 | 6.1253 |
238
+ | 5.4578 | 0.184 | 1840 | 6.1357 |
239
+ | 5.3214 | 0.185 | 1850 | 6.1000 |
240
+ | 5.5131 | 0.186 | 1860 | 6.1270 |
241
+ | 5.2041 | 0.187 | 1870 | 6.0746 |
242
+ | 5.5318 | 0.188 | 1880 | 6.0855 |
243
+ | 5.428 | 0.189 | 1890 | 6.0538 |
244
+ | 5.4626 | 0.19 | 1900 | 6.0807 |
245
+ | 5.3244 | 0.191 | 1910 | 6.0371 |
246
+ | 5.436 | 0.192 | 1920 | 6.0449 |
247
+ | 5.1186 | 0.193 | 1930 | 6.0294 |
248
+ | 5.2579 | 0.194 | 1940 | 6.0199 |
249
+ | 5.3326 | 0.195 | 1950 | 6.0073 |
250
+ | 5.1449 | 0.196 | 1960 | 6.0001 |
251
+ | 4.9562 | 0.197 | 1970 | 5.9792 |
252
+ | 5.5297 | 0.198 | 1980 | 6.0049 |
253
+ | 4.9444 | 0.199 | 1990 | 5.9524 |
254
+ | 5.1068 | 0.2 | 2000 | 5.9512 |
255
+ | 5.0556 | 0.201 | 2010 | 5.9322 |
256
+ | 5.1993 | 0.202 | 2020 | 5.9269 |
257
+ | 5.3429 | 0.203 | 2030 | 5.9028 |
258
+ | 5.2428 | 0.204 | 2040 | 5.9443 |
259
+ | 4.9172 | 0.205 | 2050 | 5.8660 |
260
+ | 5.1998 | 0.206 | 2060 | 5.8664 |
261
+ | 4.9477 | 0.207 | 2070 | 5.8598 |
262
+ | 4.8198 | 0.208 | 2080 | 5.8836 |
263
+ | 4.7644 | 0.209 | 2090 | 5.8335 |
264
+ | 5.2563 | 0.21 | 2100 | 5.8696 |
265
+ | 4.9652 | 0.211 | 2110 | 5.8438 |
266
+ | 4.9926 | 0.212 | 2120 | 5.8169 |
267
+ | 5.1937 | 0.213 | 2130 | 5.8058 |
268
+ | 4.891 | 0.214 | 2140 | 5.8541 |
269
+ | 5.0321 | 0.215 | 2150 | 5.7719 |
270
+ | 4.7933 | 0.216 | 2160 | 5.8087 |
271
+ | 4.7404 | 0.217 | 2170 | 5.7441 |
272
+ | 4.9161 | 0.218 | 2180 | 5.7692 |
273
+ | 4.7018 | 0.219 | 2190 | 5.7192 |
274
+ | 4.9765 | 0.22 | 2200 | 5.7200 |
275
+ | 4.751 | 0.221 | 2210 | 5.7267 |
276
+ | 4.9347 | 0.222 | 2220 | 5.7534 |
277
+ | 4.7404 | 0.223 | 2230 | 5.6849 |
278
+ | 4.6081 | 0.224 | 2240 | 5.7117 |
279
+ | 4.5994 | 0.225 | 2250 | 5.6686 |
280
+ | 4.5841 | 0.226 | 2260 | 5.6593 |
281
+ | 4.7333 | 0.227 | 2270 | 5.6718 |
282
+ | 4.347 | 0.228 | 2280 | 5.6530 |
283
+ | 4.5628 | 0.229 | 2290 | 5.6396 |
284
+ | 4.6724 | 0.23 | 2300 | 5.6319 |
285
+ | 4.5283 | 0.231 | 2310 | 5.6177 |
286
+ | 4.4413 | 0.232 | 2320 | 5.6090 |
287
+ | 4.8927 | 0.233 | 2330 | 5.5939 |
288
+ | 4.5664 | 0.234 | 2340 | 5.5713 |
289
+ | 4.8895 | 0.235 | 2350 | 5.5731 |
290
+ | 4.3864 | 0.236 | 2360 | 5.5706 |
291
+ | 4.1588 | 0.237 | 2370 | 5.5435 |
292
+ | 4.5261 | 0.238 | 2380 | 5.5286 |
293
+ | 4.7396 | 0.239 | 2390 | 5.5223 |
294
+ | 4.4675 | 0.24 | 2400 | 5.5216 |
295
+ | 4.4094 | 0.241 | 2410 | 5.5106 |
296
+ | 4.5677 | 0.242 | 2420 | 5.5040 |
297
+ | 4.5906 | 0.243 | 2430 | 5.5018 |
298
+ | 4.4687 | 0.244 | 2440 | 5.4824 |
299
+ | 4.7256 | 0.245 | 2450 | 5.4582 |
300
+ | 4.9141 | 0.246 | 2460 | 5.4740 |
301
+ | 4.6816 | 0.247 | 2470 | 5.4350 |
302
+ | 4.5466 | 0.248 | 2480 | 5.4337 |
303
+ | 4.3248 | 0.249 | 2490 | 5.4114 |
304
+ | 4.2467 | 0.25 | 2500 | 5.4026 |
305
+ | 4.45 | 0.251 | 2510 | 5.4229 |
306
+ | 4.2385 | 0.252 | 2520 | 5.4195 |
307
+ | 4.7523 | 0.253 | 2530 | 5.3775 |
308
+ | 4.393 | 0.254 | 2540 | 5.4080 |
309
+ | 4.3729 | 0.255 | 2550 | 5.3599 |
310
+ | 4.2651 | 0.256 | 2560 | 5.3542 |
311
+ | 4.3062 | 0.257 | 2570 | 5.3573 |
312
+ | 4.144 | 0.258 | 2580 | 5.3535 |
313
+ | 4.1154 | 0.259 | 2590 | 5.3360 |
314
+ | 4.2803 | 0.26 | 2600 | 5.3064 |
315
+ | 4.0842 | 0.261 | 2610 | 5.2963 |
316
+ | 4.5961 | 0.262 | 2620 | 5.2787 |
317
+ | 4.206 | 0.263 | 2630 | 5.3152 |
318
+ | 4.0113 | 0.264 | 2640 | 5.2645 |
319
+ | 4.1818 | 0.265 | 2650 | 5.2886 |
320
+ | 3.9046 | 0.266 | 2660 | 5.2585 |
321
+ | 4.2402 | 0.267 | 2670 | 5.2670 |
322
+ | 3.8925 | 0.268 | 2680 | 5.2376 |
323
+ | 4.1357 | 0.269 | 2690 | 5.2307 |
324
+ | 4.0433 | 0.27 | 2700 | 5.2219 |
325
+ | 4.009 | 0.271 | 2710 | 5.2389 |
326
+ | 3.8507 | 0.272 | 2720 | 5.2104 |
327
+ | 3.8764 | 0.273 | 2730 | 5.2488 |
328
+ | 3.9827 | 0.274 | 2740 | 5.2257 |
329
+ | 3.8345 | 0.275 | 2750 | 5.2038 |
330
+ | 3.903 | 0.276 | 2760 | 5.2007 |
331
+ | 3.9838 | 0.277 | 2770 | 5.1793 |
332
+ | 3.9834 | 0.278 | 2780 | 5.1764 |
333
+ | 3.9531 | 0.279 | 2790 | 5.1368 |
334
+ | 3.806 | 0.28 | 2800 | 5.1289 |
335
+ | 3.966 | 0.281 | 2810 | 5.1233 |
336
+ | 3.8111 | 0.282 | 2820 | 5.1194 |
337
+ | 3.7297 | 0.283 | 2830 | 5.1063 |
338
+ | 3.6966 | 0.284 | 2840 | 5.1248 |
339
+ | 4.0592 | 0.285 | 2850 | 5.0666 |
340
+ | 3.4351 | 0.286 | 2860 | 5.1165 |
341
+ | 3.8662 | 0.287 | 2870 | 5.0603 |
342
+ | 3.8637 | 0.288 | 2880 | 5.0894 |
343
+ | 3.5666 | 0.289 | 2890 | 5.0620 |
344
+ | 3.4218 | 0.29 | 2900 | 5.0595 |
345
+ | 3.5184 | 0.291 | 2910 | 5.0326 |
346
+ | 3.793 | 0.292 | 2920 | 5.0317 |
347
+ | 3.6773 | 0.293 | 2930 | 5.0399 |
348
+ | 3.7499 | 0.294 | 2940 | 5.0159 |
349
+ | 3.2161 | 0.295 | 2950 | 5.0333 |
350
+ | 3.844 | 0.296 | 2960 | 5.0068 |
351
+ | 3.6509 | 0.297 | 2970 | 5.0012 |
352
+ | 3.6658 | 0.298 | 2980 | 4.9962 |
353
+ | 3.5109 | 0.299 | 2990 | 4.9917 |
354
+ | 3.7466 | 0.3 | 3000 | 4.9831 |
355
+ | 3.6994 | 0.301 | 3010 | 4.9641 |
356
+ | 3.5568 | 0.302 | 3020 | 4.9757 |
357
+ | 3.4801 | 0.303 | 3030 | 4.9694 |
358
+ | 3.4071 | 0.304 | 3040 | 4.9631 |
359
+ | 3.6507 | 0.305 | 3050 | 4.9496 |
360
+ | 3.827 | 0.306 | 3060 | 4.9543 |
361
+ | 3.5014 | 0.307 | 3070 | 4.9562 |
362
+ | 3.882 | 0.308 | 3080 | 4.9346 |
363
+ | 3.6937 | 0.309 | 3090 | 4.9244 |
364
+ | 3.6413 | 0.31 | 3100 | 4.9023 |
365
+ | 3.5366 | 0.311 | 3110 | 4.8983 |
366
+ | 3.682 | 0.312 | 3120 | 4.9122 |
367
+ | 3.477 | 0.313 | 3130 | 4.8850 |
368
+ | 3.436 | 0.314 | 3140 | 4.8897 |
369
+ | 3.5179 | 0.315 | 3150 | 4.8502 |
370
+ | 3.757 | 0.316 | 3160 | 4.8610 |
371
+ | 3.3943 | 0.317 | 3170 | 4.8700 |
372
+ | 3.594 | 0.318 | 3180 | 4.8469 |
373
+ | 3.3679 | 0.319 | 3190 | 4.8410 |
374
+ | 3.2852 | 0.32 | 3200 | 4.8403 |
375
+ | 3.5099 | 0.321 | 3210 | 4.8284 |
376
+ | 3.2652 | 0.322 | 3220 | 4.8076 |
377
+ | 3.2544 | 0.323 | 3230 | 4.8024 |
378
+ | 3.5837 | 0.324 | 3240 | 4.8087 |
379
+ | 3.3361 | 0.325 | 3250 | 4.7988 |
380
+ | 3.7445 | 0.326 | 3260 | 4.7793 |
381
+ | 3.1541 | 0.327 | 3270 | 4.7758 |
382
+ | 3.4536 | 0.328 | 3280 | 4.7704 |
383
+ | 3.0832 | 0.329 | 3290 | 4.7707 |
384
+ | 3.016 | 0.33 | 3300 | 4.7831 |
385
+ | 3.4494 | 0.331 | 3310 | 4.7691 |
386
+ | 3.3187 | 0.332 | 3320 | 4.7387 |
387
+ | 3.3214 | 0.333 | 3330 | 4.7462 |
388
+ | 3.3581 | 0.334 | 3340 | 4.7231 |
389
+ | 3.0002 | 0.335 | 3350 | 4.7499 |
390
+ | 3.3687 | 0.336 | 3360 | 4.7470 |
391
+ | 3.094 | 0.337 | 3370 | 4.7484 |
392
+ | 3.3225 | 0.338 | 3380 | 4.7429 |
393
+ | 3.4161 | 0.339 | 3390 | 4.7351 |
394
+ | 3.4943 | 0.34 | 3400 | 4.7377 |
395
+ | 3.2304 | 0.341 | 3410 | 4.6883 |
396
+ | 3.2658 | 0.342 | 3420 | 4.6949 |
397
+ | 3.2962 | 0.343 | 3430 | 4.6828 |
398
+ | 3.1118 | 0.344 | 3440 | 4.7356 |
399
+ | 3.2952 | 0.345 | 3450 | 4.6515 |
400
+ | 3.1971 | 0.346 | 3460 | 4.6993 |
401
+ | 3.1475 | 0.347 | 3470 | 4.6365 |
402
+ | 2.9313 | 0.348 | 3480 | 4.6547 |
403
+ | 3.0061 | 0.349 | 3490 | 4.6716 |
404
+ | 3.1617 | 0.35 | 3500 | 4.6556 |
405
+ | 3.1452 | 0.351 | 3510 | 4.6804 |
406
+ | 3.031 | 0.352 | 3520 | 4.6432 |
407
+ | 2.8135 | 0.353 | 3530 | 4.6276 |
408
+ | 3.0721 | 0.354 | 3540 | 4.6370 |
409
+ | 2.8183 | 0.355 | 3550 | 4.6271 |
410
+ | 3.0968 | 0.356 | 3560 | 4.6137 |
411
+ | 2.8955 | 0.357 | 3570 | 4.6244 |
412
+ | 2.9859 | 0.358 | 3580 | 4.6232 |
413
+ | 3.1059 | 0.359 | 3590 | 4.5983 |
414
+ | 2.9247 | 0.36 | 3600 | 4.6214 |
415
+ | 3.1088 | 0.361 | 3610 | 4.6124 |
416
+ | 2.9014 | 0.362 | 3620 | 4.5827 |
417
+ | 2.6364 | 0.363 | 3630 | 4.5949 |
418
+ | 2.5239 | 0.364 | 3640 | 4.5933 |
419
+ | 2.6432 | 0.365 | 3650 | 4.6005 |
420
+ | 2.8269 | 0.366 | 3660 | 4.5834 |
421
+ | 3.0858 | 0.367 | 3670 | 4.5556 |
422
+ | 2.9176 | 0.368 | 3680 | 4.5939 |
423
+ | 2.6451 | 0.369 | 3690 | 4.5774 |
424
+ | 2.8993 | 0.37 | 3700 | 4.5794 |
425
+ | 3.001 | 0.371 | 3710 | 4.5771 |
426
+ | 2.8974 | 0.372 | 3720 | 4.5481 |
427
+ | 3.1128 | 0.373 | 3730 | 4.5360 |
428
+ | 3.1101 | 0.374 | 3740 | 4.5210 |
429
+ | 2.925 | 0.375 | 3750 | 4.5232 |
430
+ | 2.7071 | 0.376 | 3760 | 4.5120 |
431
+ | 2.909 | 0.377 | 3770 | 4.5186 |
432
+ | 3.1354 | 0.378 | 3780 | 4.5167 |
433
+ | 2.9686 | 0.379 | 3790 | 4.5036 |
434
+ | 2.8366 | 0.38 | 3800 | 4.4991 |
435
+ | 2.8439 | 0.381 | 3810 | 4.4882 |
436
+ | 2.7405 | 0.382 | 3820 | 4.5092 |
437
+ | 2.8334 | 0.383 | 3830 | 4.5080 |
438
+ | 2.8425 | 0.384 | 3840 | 4.4927 |
439
+ | 2.8276 | 0.385 | 3850 | 4.4669 |
440
+ | 2.8562 | 0.386 | 3860 | 4.4709 |
441
+ | 2.714 | 0.387 | 3870 | 4.4791 |
442
+ | 2.5857 | 0.388 | 3880 | 4.4823 |
443
+ | 3.0127 | 0.389 | 3890 | 4.4737 |
444
+ | 2.9474 | 0.39 | 3900 | 4.4635 |
445
+ | 2.6787 | 0.391 | 3910 | 4.4818 |
446
+ | 2.5056 | 0.392 | 3920 | 4.4891 |
447
+ | 2.6681 | 0.393 | 3930 | 4.4466 |
448
+ | 2.731 | 0.394 | 3940 | 4.4348 |
449
+ | 2.6296 | 0.395 | 3950 | 4.4535 |
450
+ | 2.4331 | 0.396 | 3960 | 4.4111 |
451
+ | 2.6591 | 0.397 | 3970 | 4.4131 |
452
+ | 2.5106 | 0.398 | 3980 | 4.4291 |
453
+ | 2.4048 | 0.399 | 3990 | 4.4289 |
454
+ | 2.6684 | 0.4 | 4000 | 4.4355 |
455
+ | 2.5881 | 0.401 | 4010 | 4.4045 |
456
+ | 2.6618 | 0.402 | 4020 | 4.4015 |
457
+ | 2.8528 | 0.403 | 4030 | 4.3969 |
458
+ | 2.6552 | 0.404 | 4040 | 4.3884 |
459
+ | 2.7652 | 0.405 | 4050 | 4.3736 |
460
+ | 2.5634 | 0.406 | 4060 | 4.3906 |
461
+ | 2.7591 | 0.407 | 4070 | 4.3789 |
462
+ | 2.565 | 0.408 | 4080 | 4.4054 |
463
+ | 2.7409 | 0.409 | 4090 | 4.3558 |
464
+ | 2.6925 | 0.41 | 4100 | 4.3551 |
465
+ | 2.4577 | 0.411 | 4110 | 4.3784 |
466
+ | 2.5328 | 0.412 | 4120 | 4.3705 |
467
+ | 2.4659 | 0.413 | 4130 | 4.3607 |
468
+ | 2.3694 | 0.414 | 4140 | 4.3782 |
469
+ | 2.2693 | 0.415 | 4150 | 4.3734 |
470
+ | 2.6328 | 0.416 | 4160 | 4.3415 |
471
+ | 2.3923 | 0.417 | 4170 | 4.3617 |
472
+ | 2.7774 | 0.418 | 4180 | 4.3233 |
473
+ | 2.5612 | 0.419 | 4190 | 4.3398 |
474
+ | 2.6467 | 0.42 | 4200 | 4.3341 |
475
+ | 2.5213 | 0.421 | 4210 | 4.3545 |
476
+ | 2.5671 | 0.422 | 4220 | 4.3349 |
477
+ | 2.5758 | 0.423 | 4230 | 4.3337 |
478
+ | 2.3845 | 0.424 | 4240 | 4.3000 |
479
+ | 2.4242 | 0.425 | 4250 | 4.3203 |
480
+ | 2.2893 | 0.426 | 4260 | 4.3325 |
481
+ | 2.4254 | 0.427 | 4270 | 4.3320 |
482
+ | 2.2907 | 0.428 | 4280 | 4.3187 |
483
+ | 2.3777 | 0.429 | 4290 | 4.2932 |
484
+ | 2.4253 | 0.43 | 4300 | 4.3142 |
485
+ | 2.3261 | 0.431 | 4310 | 4.3024 |
486
+ | 2.4036 | 0.432 | 4320 | 4.2992 |
487
+ | 2.5113 | 0.433 | 4330 | 4.3141 |
488
+ | 2.3572 | 0.434 | 4340 | 4.2848 |
489
+ | 2.3879 | 0.435 | 4350 | 4.2834 |
490
+ | 2.3793 | 0.436 | 4360 | 4.2627 |
491
+ | 2.4736 | 0.437 | 4370 | 4.2595 |
492
+ | 2.5159 | 0.438 | 4380 | 4.2835 |
493
+ | 2.3629 | 0.439 | 4390 | 4.2863 |
494
+ | 2.1938 | 0.44 | 4400 | 4.2670 |
495
+ | 2.3449 | 0.441 | 4410 | 4.2716 |
496
+ | 2.3991 | 0.442 | 4420 | 4.2669 |
497
+ | 2.4827 | 0.443 | 4430 | 4.2406 |
498
+ | 2.3855 | 0.444 | 4440 | 4.2715 |
499
+ | 2.1299 | 0.445 | 4450 | 4.2495 |
500
+ | 2.0333 | 0.446 | 4460 | 4.2827 |
501
+ | 1.9878 | 0.447 | 4470 | 4.2827 |
502
+ | 2.3024 | 0.448 | 4480 | 4.2609 |
503
+ | 2.4138 | 0.449 | 4490 | 4.2310 |
504
+ | 2.2039 | 0.45 | 4500 | 4.2546 |
505
+ | 2.3207 | 0.451 | 4510 | 4.2290 |
506
+ | 2.4231 | 0.452 | 4520 | 4.2262 |
507
+ | 2.2665 | 0.453 | 4530 | 4.2409 |
508
+ | 2.2154 | 0.454 | 4540 | 4.2517 |
509
+ | 2.5899 | 0.455 | 4550 | 4.2381 |
510
+ | 1.9901 | 0.456 | 4560 | 4.2297 |
511
+ | 2.2154 | 0.457 | 4570 | 4.2134 |
512
+ | 2.2755 | 0.458 | 4580 | 4.2225 |
513
+ | 2.058 | 0.459 | 4590 | 4.2317 |
514
+ | 2.1179 | 0.46 | 4600 | 4.2195 |
515
+ | 2.1612 | 0.461 | 4610 | 4.2236 |
516
+ | 2.216 | 0.462 | 4620 | 4.2361 |
517
+ | 2.2586 | 0.463 | 4630 | 4.2021 |
518
+ | 2.248 | 0.464 | 4640 | 4.1822 |
519
+ | 2.3572 | 0.465 | 4650 | 4.1846 |
520
+ | 2.433 | 0.466 | 4660 | 4.1702 |
521
+ | 2.3894 | 0.467 | 4670 | 4.1767 |
522
+ | 2.2607 | 0.468 | 4680 | 4.1616 |
523
+ | 2.2147 | 0.469 | 4690 | 4.1733 |
524
+ | 2.4196 | 0.47 | 4700 | 4.1914 |
525
+ | 2.1684 | 0.471 | 4710 | 4.1864 |
526
+ | 2.1798 | 0.472 | 4720 | 4.1846 |
527
+ | 1.993 | 0.473 | 4730 | 4.1924 |
528
+ | 2.2485 | 0.474 | 4740 | 4.1609 |
529
+ | 2.1314 | 0.475 | 4750 | 4.1687 |
530
+ | 2.2203 | 0.476 | 4760 | 4.1455 |
531
+ | 2.1302 | 0.477 | 4770 | 4.1401 |
532
+ | 1.8882 | 0.478 | 4780 | 4.1852 |
533
+ | 2.2623 | 0.479 | 4790 | 4.1605 |
534
+ | 2.1286 | 0.48 | 4800 | 4.1304 |
535
+ | 2.1561 | 0.481 | 4810 | 4.1712 |
536
+ | 2.0941 | 0.482 | 4820 | 4.1690 |
537
+ | 2.012 | 0.483 | 4830 | 4.1525 |
538
+ | 1.9477 | 0.484 | 4840 | 4.1541 |
539
+ | 1.9873 | 0.485 | 4850 | 4.1763 |
540
+ | 2.3578 | 0.486 | 4860 | 4.1240 |
541
+ | 2.3894 | 0.487 | 4870 | 4.1102 |
542
+ | 2.0092 | 0.488 | 4880 | 4.1423 |
543
+ | 2.0482 | 0.489 | 4890 | 4.1301 |
544
+ | 2.0077 | 0.49 | 4900 | 4.1295 |
545
+ | 1.9114 | 0.491 | 4910 | 4.1474 |
546
+ | 2.1172 | 0.492 | 4920 | 4.1382 |
547
+ | 1.9315 | 0.493 | 4930 | 4.1264 |
548
+ | 2.1044 | 0.494 | 4940 | 4.1064 |
549
+ | 1.976 | 0.495 | 4950 | 4.0905 |
550
+ | 2.1449 | 0.496 | 4960 | 4.1133 |
551
+ | 2.1131 | 0.497 | 4970 | 4.1138 |
552
+ | 2.004 | 0.498 | 4980 | 4.1066 |
553
+ | 2.0212 | 0.499 | 4990 | 4.0998 |
554
+ | 2.1008 | 0.5 | 5000 | 4.1110 |
555
+ | 2.1145 | 0.501 | 5010 | 4.1178 |
556
+ | 2.1154 | 0.502 | 5020 | 4.0981 |
557
+ | 2.0931 | 0.503 | 5030 | 4.0863 |
558
+ | 2.0954 | 0.504 | 5040 | 4.0770 |
559
+ | 2.1068 | 0.505 | 5050 | 4.0761 |
560
+ | 1.8811 | 0.506 | 5060 | 4.0879 |
561
+ | 1.9368 | 0.507 | 5070 | 4.0992 |
562
+ | 2.1116 | 0.508 | 5080 | 4.0958 |
563
+ | 2.2019 | 0.509 | 5090 | 4.0719 |
564
+ | 2.0935 | 0.51 | 5100 | 4.0725 |
565
+ | 2.0152 | 0.511 | 5110 | 4.0679 |
566
+ | 2.0157 | 0.512 | 5120 | 4.0963 |
567
+ | 1.8603 | 0.513 | 5130 | 4.1048 |
568
+ | 2.1029 | 0.514 | 5140 | 4.0793 |
569
+ | 1.9495 | 0.515 | 5150 | 4.0696 |
570
+ | 1.746 | 0.516 | 5160 | 4.1178 |
571
+ | 2.0436 | 0.517 | 5170 | 4.0839 |
572
+ | 1.8402 | 0.518 | 5180 | 4.0689 |
573
+ | 1.9393 | 0.519 | 5190 | 4.0503 |
574
+ | 1.9576 | 0.52 | 5200 | 4.0582 |
575
+ | 1.9155 | 0.521 | 5210 | 4.0616 |
576
+ | 1.8562 | 0.522 | 5220 | 4.0770 |
577
+ | 1.772 | 0.523 | 5230 | 4.0903 |
578
+ | 1.8693 | 0.524 | 5240 | 4.0822 |
579
+ | 1.7747 | 0.525 | 5250 | 4.0838 |
580
+ | 1.8474 | 0.526 | 5260 | 4.0671 |
581
+ | 2.1497 | 0.527 | 5270 | 4.0611 |
582
+ | 1.9337 | 0.528 | 5280 | 4.0672 |
583
+ | 2.0366 | 0.529 | 5290 | 4.0475 |
584
+ | 1.9566 | 0.53 | 5300 | 4.0354 |
585
+ | 2.1054 | 0.531 | 5310 | 4.0429 |
586
+ | 1.7734 | 0.532 | 5320 | 4.0447 |
587
+ | 1.965 | 0.533 | 5330 | 4.0418 |
588
+ | 2.085 | 0.534 | 5340 | 4.0313 |
589
+ | 2.0969 | 0.535 | 5350 | 4.0274 |
590
+ | 1.8137 | 0.536 | 5360 | 4.0533 |
591
+ | 1.9213 | 0.537 | 5370 | 4.0520 |
592
+ | 1.699 | 0.538 | 5380 | 4.0431 |
593
+ | 1.7902 | 0.539 | 5390 | 4.0378 |
594
+ | 1.8461 | 0.54 | 5400 | 4.0396 |
595
+ | 2.0112 | 0.541 | 5410 | 4.0004 |
596
+ | 1.9799 | 0.542 | 5420 | 4.0015 |
597
+ | 1.9226 | 0.543 | 5430 | 4.0064 |
598
+ | 1.8766 | 0.544 | 5440 | 4.0116 |
599
+ | 2.0135 | 0.545 | 5450 | 4.0020 |
600
+ | 1.8534 | 0.546 | 5460 | 4.0064 |
601
+ | 1.917 | 0.547 | 5470 | 3.9968 |
602
+ | 1.9525 | 0.548 | 5480 | 4.0079 |
603
+ | 1.7654 | 0.549 | 5490 | 4.0143 |
604
+ | 1.7959 | 0.55 | 5500 | 4.0287 |
605
+ | 1.6686 | 0.551 | 5510 | 4.0363 |
606
+ | 1.6723 | 0.552 | 5520 | 4.0035 |
607
+ | 1.7373 | 0.553 | 5530 | 4.0136 |
608
+ | 1.8105 | 0.554 | 5540 | 3.9967 |
609
+ | 1.7868 | 0.555 | 5550 | 4.0068 |
610
+ | 1.8073 | 0.556 | 5560 | 4.0235 |
611
+ | 1.9028 | 0.557 | 5570 | 4.0104 |
612
+ | 1.6599 | 0.558 | 5580 | 4.0055 |
613
+ | 1.8416 | 0.559 | 5590 | 4.0012 |
614
+ | 1.921 | 0.56 | 5600 | 4.0009 |
615
+ | 1.8473 | 0.561 | 5610 | 3.9979 |
616
+ | 1.6912 | 0.562 | 5620 | 4.0097 |
617
+ | 1.7104 | 0.563 | 5630 | 4.0030 |
618
+ | 1.8125 | 0.564 | 5640 | 3.9858 |
619
+ | 1.8455 | 0.565 | 5650 | 3.9806 |
620
+ | 1.7542 | 0.566 | 5660 | 3.9784 |
621
+ | 1.8892 | 0.567 | 5670 | 3.9925 |
622
+ | 1.6582 | 0.568 | 5680 | 3.9845 |
623
+ | 1.7345 | 0.569 | 5690 | 4.0067 |
624
+ | 1.8135 | 0.57 | 5700 | 3.9958 |
625
+ | 1.8084 | 0.571 | 5710 | 3.9842 |
626
+ | 1.7094 | 0.572 | 5720 | 3.9894 |
627
+ | 1.6312 | 0.573 | 5730 | 3.9810 |
628
+ | 1.7423 | 0.574 | 5740 | 3.9770 |
629
+ | 1.6973 | 0.575 | 5750 | 3.9879 |
630
+ | 1.7027 | 0.576 | 5760 | 3.9789 |
631
+ | 1.8296 | 0.577 | 5770 | 3.9776 |
632
+ | 1.6769 | 0.578 | 5780 | 3.9721 |
633
+ | 1.5548 | 0.579 | 5790 | 3.9845 |
634
+ | 1.6085 | 0.58 | 5800 | 4.0000 |
635
+ | 1.7654 | 0.581 | 5810 | 3.9506 |
636
+ | 1.7707 | 0.582 | 5820 | 3.9530 |
637
+ | 1.7545 | 0.583 | 5830 | 3.9648 |
638
+ | 1.5998 | 0.584 | 5840 | 3.9925 |
639
+ | 1.5918 | 0.585 | 5850 | 3.9717 |
640
+ | 1.8273 | 0.586 | 5860 | 3.9649 |
641
+ | 1.6181 | 0.587 | 5870 | 3.9836 |
642
+ | 1.5624 | 0.588 | 5880 | 3.9633 |
643
+ | 1.6318 | 0.589 | 5890 | 3.9746 |
644
+ | 1.6677 | 0.59 | 5900 | 3.9867 |
645
+ | 1.7551 | 0.591 | 5910 | 3.9526 |
646
+ | 1.6629 | 0.592 | 5920 | 3.9768 |
647
+ | 1.7673 | 0.593 | 5930 | 3.9686 |
648
+ | 1.5675 | 0.594 | 5940 | 3.9927 |
649
+ | 1.6911 | 0.595 | 5950 | 3.9832 |
650
+ | 1.7887 | 0.596 | 5960 | 3.9560 |
651
+ | 1.6528 | 0.597 | 5970 | 3.9487 |
652
+ | 1.6431 | 0.598 | 5980 | 3.9553 |
653
+ | 1.6284 | 0.599 | 5990 | 3.9321 |
654
+ | 1.784 | 0.6 | 6000 | 3.9300 |
655
+ | 1.6791 | 0.601 | 6010 | 3.9642 |
656
+ | 1.7124 | 0.602 | 6020 | 3.9722 |
657
+ | 1.7609 | 0.603 | 6030 | 3.9663 |
658
+ | 1.6781 | 0.604 | 6040 | 3.9558 |
659
+ | 1.6359 | 0.605 | 6050 | 3.9528 |
660
+ | 1.6021 | 0.606 | 6060 | 3.9504 |
661
+ | 1.6271 | 0.607 | 6070 | 3.9340 |
662
+ | 1.7003 | 0.608 | 6080 | 3.9202 |
663
+ | 1.8715 | 0.609 | 6090 | 3.9358 |
664
+ | 1.6876 | 0.61 | 6100 | 3.9306 |
665
+ | 1.7108 | 0.611 | 6110 | 3.9367 |
666
+ | 1.6943 | 0.612 | 6120 | 3.9411 |
667
+ | 1.5966 | 0.613 | 6130 | 3.9421 |
668
+ | 1.6138 | 0.614 | 6140 | 3.9307 |
669
+ | 1.5829 | 0.615 | 6150 | 3.9405 |
670
+ | 1.6614 | 0.616 | 6160 | 3.9157 |
671
+ | 1.5733 | 0.617 | 6170 | 3.9490 |
672
+ | 1.4604 | 0.618 | 6180 | 3.9361 |
673
+ | 1.4501 | 0.619 | 6190 | 3.9401 |
674
+ | 1.5753 | 0.62 | 6200 | 3.9473 |
675
+ | 1.6593 | 0.621 | 6210 | 3.9425 |
676
+ | 1.5561 | 0.622 | 6220 | 3.9386 |
677
+ | 1.4955 | 0.623 | 6230 | 3.9412 |
678
+ | 1.5925 | 0.624 | 6240 | 3.9265 |
679
+ | 1.5622 | 0.625 | 6250 | 3.9471 |
680
+ | 1.5001 | 0.626 | 6260 | 3.9177 |
681
+ | 1.7508 | 0.627 | 6270 | 3.9125 |
682
+ | 1.7536 | 0.628 | 6280 | 3.9191 |
683
+ | 1.551 | 0.629 | 6290 | 3.9306 |
684
+ | 1.6486 | 0.63 | 6300 | 3.9180 |
685
+ | 1.5344 | 0.631 | 6310 | 3.9282 |
686
+ | 1.5419 | 0.632 | 6320 | 3.9304 |
687
+ | 1.5617 | 0.633 | 6330 | 3.9196 |
688
+ | 1.7536 | 0.634 | 6340 | 3.9111 |
689
+ | 1.589 | 0.635 | 6350 | 3.9327 |
690
+ | 1.6411 | 0.636 | 6360 | 3.9190 |
691
+ | 1.6056 | 0.637 | 6370 | 3.9288 |
692
+ | 1.5037 | 0.638 | 6380 | 3.9282 |
693
+ | 1.5577 | 0.639 | 6390 | 3.9247 |
694
+ | 1.6489 | 0.64 | 6400 | 3.9278 |
695
+ | 1.471 | 0.641 | 6410 | 3.9233 |
696
+ | 1.7566 | 0.642 | 6420 | 3.8879 |
697
+ | 1.6957 | 0.643 | 6430 | 3.8987 |
698
+ | 1.3941 | 0.644 | 6440 | 3.9220 |
699
+ | 1.4225 | 0.645 | 6450 | 3.8974 |
700
+ | 1.4719 | 0.646 | 6460 | 3.9173 |
701
+ | 1.4352 | 0.647 | 6470 | 3.9120 |
702
+ | 1.4844 | 0.648 | 6480 | 3.9108 |
703
+ | 1.6576 | 0.649 | 6490 | 3.9273 |
704
+ | 1.516 | 0.65 | 6500 | 3.9145 |
705
+ | 1.5373 | 0.651 | 6510 | 3.9183 |
706
+ | 1.4004 | 0.652 | 6520 | 3.9233 |
707
+ | 1.4519 | 0.653 | 6530 | 3.9044 |
708
+ | 1.6284 | 0.654 | 6540 | 3.9017 |
709
+ | 1.5553 | 0.655 | 6550 | 3.8956 |
710
+ | 1.4852 | 0.656 | 6560 | 3.9192 |
711
+ | 1.5767 | 0.657 | 6570 | 3.9013 |
712
+ | 1.6317 | 0.658 | 6580 | 3.8878 |
713
+ | 1.5306 | 0.659 | 6590 | 3.8964 |
714
+ | 1.5386 | 0.66 | 6600 | 3.8858 |
715
+ | 1.4967 | 0.661 | 6610 | 3.8977 |
716
+ | 1.5523 | 0.662 | 6620 | 3.8719 |
717
+ | 1.5526 | 0.663 | 6630 | 3.8862 |
718
+ | 1.5022 | 0.664 | 6640 | 3.8924 |
719
+ | 1.5227 | 0.665 | 6650 | 3.9005 |
720
+ | 1.5673 | 0.666 | 6660 | 3.8962 |
721
+ | 1.4177 | 0.667 | 6670 | 3.9010 |
722
+ | 1.5379 | 0.668 | 6680 | 3.9022 |
723
+ | 1.3781 | 0.669 | 6690 | 3.8830 |
724
+ | 1.5553 | 0.67 | 6700 | 3.8835 |
725
+ | 1.5428 | 0.671 | 6710 | 3.8784 |
726
+ | 1.5307 | 0.672 | 6720 | 3.8654 |
727
+ | 1.5443 | 0.673 | 6730 | 3.8726 |
728
+ | 1.572 | 0.674 | 6740 | 3.8723 |
729
+ | 1.4443 | 0.675 | 6750 | 3.8802 |
730
+ | 1.4983 | 0.676 | 6760 | 3.8778 |
731
+ | 1.6395 | 0.677 | 6770 | 3.8702 |
732
+ | 1.4878 | 0.678 | 6780 | 3.8698 |
733
+ | 1.3684 | 0.679 | 6790 | 3.8866 |
734
+ | 1.6223 | 0.68 | 6800 | 3.8685 |
735
+ | 1.4744 | 0.681 | 6810 | 3.8569 |
736
+ | 1.4779 | 0.682 | 6820 | 3.8994 |
737
+ | 1.4175 | 0.683 | 6830 | 3.8845 |
738
+ | 1.533 | 0.684 | 6840 | 3.8973 |
739
+ | 1.5796 | 0.685 | 6850 | 3.8739 |
740
+ | 1.5348 | 0.686 | 6860 | 3.8522 |
741
+ | 1.5479 | 0.687 | 6870 | 3.8573 |
742
+ | 1.5132 | 0.688 | 6880 | 3.8525 |
743
+ | 1.3636 | 0.689 | 6890 | 3.8609 |
744
+ | 1.5992 | 0.69 | 6900 | 3.8618 |
745
+ | 1.5323 | 0.691 | 6910 | 3.8735 |
746
+ | 1.4068 | 0.692 | 6920 | 3.8608 |
747
+ | 1.4023 | 0.693 | 6930 | 3.8591 |
748
+ | 1.3799 | 0.694 | 6940 | 3.8871 |
749
+ | 1.452 | 0.695 | 6950 | 3.8551 |
750
+ | 1.5322 | 0.696 | 6960 | 3.8810 |
751
+ | 1.5245 | 0.697 | 6970 | 3.8622 |
752
+ | 1.435 | 0.698 | 6980 | 3.8574 |
753
+ | 1.4849 | 0.699 | 6990 | 3.8608 |
754
+ | 1.3309 | 0.7 | 7000 | 3.8538 |
755
+ | 1.3596 | 0.701 | 7010 | 3.8474 |
756
+ | 1.496 | 0.702 | 7020 | 3.8652 |
757
+ | 1.3853 | 0.703 | 7030 | 3.8590 |
758
+ | 1.3671 | 0.704 | 7040 | 3.8722 |
759
+ | 1.4362 | 0.705 | 7050 | 3.8484 |
760
+ | 1.4251 | 0.706 | 7060 | 3.8544 |
761
+ | 1.3982 | 0.707 | 7070 | 3.8701 |
762
+ | 1.4628 | 0.708 | 7080 | 3.8810 |
763
+ | 1.3307 | 0.709 | 7090 | 3.8680 |
764
+ | 1.3799 | 0.71 | 7100 | 3.8772 |
765
+ | 1.4115 | 0.711 | 7110 | 3.8774 |
766
+ | 1.4065 | 0.712 | 7120 | 3.8752 |
767
+ | 1.288 | 0.713 | 7130 | 3.8846 |
768
+ | 1.3547 | 0.714 | 7140 | 3.8743 |
769
+ | 1.4197 | 0.715 | 7150 | 3.8773 |
770
+ | 1.3924 | 0.716 | 7160 | 3.8591 |
771
+ | 1.4369 | 0.717 | 7170 | 3.8586 |
772
+ | 1.4426 | 0.718 | 7180 | 3.8526 |
773
+ | 1.4369 | 0.719 | 7190 | 3.8458 |
774
+ | 1.3719 | 0.72 | 7200 | 3.8671 |
775
+ | 1.4219 | 0.721 | 7210 | 3.8770 |
776
+ | 1.5038 | 0.722 | 7220 | 3.8694 |
777
+ | 1.4096 | 0.723 | 7230 | 3.8758 |
778
+ | 1.3372 | 0.724 | 7240 | 3.8517 |
779
+ | 1.3688 | 0.725 | 7250 | 3.8778 |
780
+ | 1.2378 | 0.726 | 7260 | 3.8714 |
781
+ | 1.3906 | 0.727 | 7270 | 3.8598 |
782
+ | 1.3598 | 0.728 | 7280 | 3.8579 |
783
+ | 1.3902 | 0.729 | 7290 | 3.8598 |
784
+ | 1.4013 | 0.73 | 7300 | 3.8519 |
785
+ | 1.406 | 0.731 | 7310 | 3.8430 |
786
+ | 1.3771 | 0.732 | 7320 | 3.8530 |
787
+ | 1.3977 | 0.733 | 7330 | 3.8601 |
788
+ | 1.3891 | 0.734 | 7340 | 3.8602 |
789
+ | 1.3085 | 0.735 | 7350 | 3.8707 |
790
+ | 1.2285 | 0.736 | 7360 | 3.8723 |
791
+ | 1.3097 | 0.737 | 7370 | 3.8502 |
792
+ | 1.3648 | 0.738 | 7380 | 3.8629 |
793
+ | 1.4576 | 0.739 | 7390 | 3.8491 |
794
+ | 1.3136 | 0.74 | 7400 | 3.8824 |
795
+ | 1.2518 | 0.741 | 7410 | 3.8756 |
796
+ | 1.4524 | 0.742 | 7420 | 3.8423 |
797
+ | 1.3969 | 0.743 | 7430 | 3.8411 |
798
+ | 1.3776 | 0.744 | 7440 | 3.8509 |
799
+ | 1.3915 | 0.745 | 7450 | 3.8595 |
800
+ | 1.3721 | 0.746 | 7460 | 3.8656 |
801
+ | 1.3955 | 0.747 | 7470 | 3.8613 |
802
+ | 1.2734 | 0.748 | 7480 | 3.8572 |
803
+ | 1.3972 | 0.749 | 7490 | 3.8506 |
804
+ | 1.3601 | 0.75 | 7500 | 3.8551 |
805
+ | 1.3121 | 0.751 | 7510 | 3.8541 |
806
+ | 1.4033 | 0.752 | 7520 | 3.8517 |
807
+ | 1.3927 | 0.753 | 7530 | 3.8531 |
808
+ | 1.4111 | 0.754 | 7540 | 3.8590 |
809
+ | 1.3176 | 0.755 | 7550 | 3.8677 |
810
+ | 1.3108 | 0.756 | 7560 | 3.8660 |
811
+ | 1.3579 | 0.757 | 7570 | 3.8639 |
812
+ | 1.2712 | 0.758 | 7580 | 3.8562 |
813
+ | 1.3528 | 0.759 | 7590 | 3.8630 |
814
+ | 1.2751 | 0.76 | 7600 | 3.8457 |
815
+ | 1.2843 | 0.761 | 7610 | 3.8412 |
816
+ | 1.4342 | 0.762 | 7620 | 3.8312 |
817
+ | 1.2923 | 0.763 | 7630 | 3.8313 |
818
+ | 1.2928 | 0.764 | 7640 | 3.8377 |
819
+ | 1.3991 | 0.765 | 7650 | 3.8341 |
820
+ | 1.3392 | 0.766 | 7660 | 3.8296 |
821
+ | 1.4142 | 0.767 | 7670 | 3.8330 |
822
+ | 1.3003 | 0.768 | 7680 | 3.8433 |
823
+ | 1.2786 | 0.769 | 7690 | 3.8480 |
824
+ | 1.3252 | 0.77 | 7700 | 3.8272 |
825
+ | 1.268 | 0.771 | 7710 | 3.8491 |
826
+ | 1.3003 | 0.772 | 7720 | 3.8317 |
827
+ | 1.1916 | 0.773 | 7730 | 3.8259 |
828
+ | 1.2441 | 0.774 | 7740 | 3.8372 |
829
+ | 1.3544 | 0.775 | 7750 | 3.8532 |
830
+ | 1.3366 | 0.776 | 7760 | 3.8574 |
831
+ | 1.3176 | 0.777 | 7770 | 3.8542 |
832
+ | 1.4013 | 0.778 | 7780 | 3.8443 |
833
+ | 1.3959 | 0.779 | 7790 | 3.8437 |
834
+ | 1.3284 | 0.78 | 7800 | 3.8346 |
835
+ | 1.3716 | 0.781 | 7810 | 3.8347 |
836
+ | 1.3457 | 0.782 | 7820 | 3.8284 |
837
+ | 1.3317 | 0.783 | 7830 | 3.8316 |
838
+ | 1.3212 | 0.784 | 7840 | 3.8416 |
839
+ | 1.3497 | 0.785 | 7850 | 3.8273 |
840
+ | 1.3576 | 0.786 | 7860 | 3.8407 |
841
+ | 1.3531 | 0.787 | 7870 | 3.8393 |
842
+ | 1.2701 | 0.788 | 7880 | 3.8504 |
843
+ | 1.3198 | 0.789 | 7890 | 3.8539 |
844
+ | 1.3783 | 0.79 | 7900 | 3.8297 |
845
+ | 1.2354 | 0.791 | 7910 | 3.8391 |
846
+ | 1.3324 | 0.792 | 7920 | 3.8292 |
847
+ | 1.3203 | 0.793 | 7930 | 3.8334 |
848
+ | 1.3253 | 0.794 | 7940 | 3.8320 |
849
+ | 1.191 | 0.795 | 7950 | 3.8647 |
850
+ | 1.2396 | 0.796 | 7960 | 3.8496 |
851
+ | 1.2722 | 0.797 | 7970 | 3.8371 |
852
+ | 1.3823 | 0.798 | 7980 | 3.8307 |
853
+ | 1.3459 | 0.799 | 7990 | 3.8302 |
854
+ | 1.3508 | 0.8 | 8000 | 3.8543 |
855
+ | 1.3335 | 0.801 | 8010 | 3.8508 |
856
+ | 1.2138 | 0.802 | 8020 | 3.8359 |
857
+ | 1.3548 | 0.803 | 8030 | 3.8356 |
858
+ | 1.3702 | 0.804 | 8040 | 3.8311 |
859
+ | 1.241 | 0.805 | 8050 | 3.8369 |
860
+ | 1.3318 | 0.806 | 8060 | 3.8267 |
861
+ | 1.3235 | 0.807 | 8070 | 3.8281 |
862
+ | 1.333 | 0.808 | 8080 | 3.8328 |
863
+ | 1.3423 | 0.809 | 8090 | 3.8448 |
864
+ | 1.3179 | 0.81 | 8100 | 3.8245 |
865
+ | 1.3776 | 0.811 | 8110 | 3.8232 |
866
+ | 1.3662 | 0.812 | 8120 | 3.8304 |
867
+ | 1.2795 | 0.813 | 8130 | 3.8361 |
868
+ | 1.1821 | 0.814 | 8140 | 3.8349 |
869
+ | 1.3036 | 0.815 | 8150 | 3.8068 |
870
+ | 1.3673 | 0.816 | 8160 | 3.8173 |
871
+ | 1.3004 | 0.817 | 8170 | 3.8354 |
872
+ | 1.3209 | 0.818 | 8180 | 3.8290 |
873
+ | 1.2968 | 0.819 | 8190 | 3.8300 |
874
+ | 1.2513 | 0.82 | 8200 | 3.8491 |
875
+ | 1.246 | 0.821 | 8210 | 3.8453 |
876
+ | 1.2457 | 0.822 | 8220 | 3.8367 |
877
+ | 1.3327 | 0.823 | 8230 | 3.8362 |
878
+ | 1.3708 | 0.824 | 8240 | 3.8351 |
879
+ | 1.2707 | 0.825 | 8250 | 3.8311 |
880
+ | 1.3164 | 0.826 | 8260 | 3.8411 |
881
+ | 1.2163 | 0.827 | 8270 | 3.8408 |
882
+ | 1.3469 | 0.828 | 8280 | 3.8288 |
883
+ | 1.2658 | 0.829 | 8290 | 3.8248 |
884
+ | 1.2693 | 0.83 | 8300 | 3.8187 |
885
+ | 1.3177 | 0.831 | 8310 | 3.8308 |
886
+ | 1.3119 | 0.832 | 8320 | 3.8332 |
887
+ | 1.2206 | 0.833 | 8330 | 3.8384 |
888
+ | 1.2535 | 0.834 | 8340 | 3.8443 |
889
+ | 1.2741 | 0.835 | 8350 | 3.8313 |
890
+ | 1.2692 | 0.836 | 8360 | 3.8348 |
891
+ | 1.2588 | 0.837 | 8370 | 3.8364 |
892
+ | 1.3957 | 0.838 | 8380 | 3.8188 |
893
+ | 1.2313 | 0.839 | 8390 | 3.8289 |
894
+ | 1.2882 | 0.84 | 8400 | 3.8311 |
895
+ | 1.3057 | 0.841 | 8410 | 3.8203 |
896
+ | 1.2792 | 0.842 | 8420 | 3.8373 |
897
+ | 1.3375 | 0.843 | 8430 | 3.8239 |
898
+ | 1.2899 | 0.844 | 8440 | 3.8188 |
899
+ | 1.2099 | 0.845 | 8450 | 3.8367 |
900
+ | 1.2795 | 0.846 | 8460 | 3.8307 |
901
+ | 1.3613 | 0.847 | 8470 | 3.8171 |
902
+ | 1.3261 | 0.848 | 8480 | 3.8269 |
903
+ | 1.3025 | 0.849 | 8490 | 3.8275 |
904
+ | 1.2972 | 0.85 | 8500 | 3.8367 |
905
+ | 1.1742 | 0.851 | 8510 | 3.8353 |
906
+ | 1.1846 | 0.852 | 8520 | 3.8483 |
907
+ | 1.2828 | 0.853 | 8530 | 3.8264 |
908
+ | 1.3182 | 0.854 | 8540 | 3.8296 |
909
+ | 1.1832 | 0.855 | 8550 | 3.8258 |
910
+ | 1.233 | 0.856 | 8560 | 3.8259 |
911
+ | 1.3038 | 0.857 | 8570 | 3.8205 |
912
+ | 1.2528 | 0.858 | 8580 | 3.8328 |
913
+ | 1.3166 | 0.859 | 8590 | 3.8312 |
914
+ | 1.2779 | 0.86 | 8600 | 3.8264 |
915
+ | 1.2742 | 0.861 | 8610 | 3.8322 |
916
+ | 1.2016 | 0.862 | 8620 | 3.8413 |
917
+ | 1.2093 | 0.863 | 8630 | 3.8355 |
918
+ | 1.2256 | 0.864 | 8640 | 3.8366 |
919
+ | 1.2202 | 0.865 | 8650 | 3.8301 |
920
+ | 1.2817 | 0.866 | 8660 | 3.8328 |
921
+ | 1.2817 | 0.867 | 8670 | 3.8253 |
922
+ | 1.1664 | 0.868 | 8680 | 3.8271 |
923
+ | 1.2658 | 0.869 | 8690 | 3.8287 |
924
+ | 1.2247 | 0.87 | 8700 | 3.8225 |
925
+ | 1.1852 | 0.871 | 8710 | 3.8337 |
926
+ | 1.3027 | 0.872 | 8720 | 3.8434 |
927
+ | 1.2975 | 0.873 | 8730 | 3.8399 |
928
+ | 1.2083 | 0.874 | 8740 | 3.8475 |
929
+ | 1.3507 | 0.875 | 8750 | 3.8184 |
930
+ | 1.1542 | 0.876 | 8760 | 3.8303 |
931
+ | 1.2419 | 0.877 | 8770 | 3.8347 |
932
+ | 1.296 | 0.878 | 8780 | 3.8257 |
933
+ | 1.292 | 0.879 | 8790 | 3.8159 |
934
+ | 1.1907 | 0.88 | 8800 | 3.8131 |
935
+ | 1.3122 | 0.881 | 8810 | 3.8105 |
936
+ | 1.2661 | 0.882 | 8820 | 3.8333 |
937
+ | 1.2656 | 0.883 | 8830 | 3.8131 |
938
+ | 1.3465 | 0.884 | 8840 | 3.8109 |
939
+ | 1.2222 | 0.885 | 8850 | 3.8176 |
940
+ | 1.2893 | 0.886 | 8860 | 3.8175 |
941
+ | 1.2303 | 0.887 | 8870 | 3.8453 |
942
+ | 1.2243 | 0.888 | 8880 | 3.8286 |
943
+ | 1.2214 | 0.889 | 8890 | 3.8326 |
944
+ | 1.2331 | 0.89 | 8900 | 3.8414 |
945
+ | 1.2845 | 0.891 | 8910 | 3.8380 |
946
+ | 1.2194 | 0.892 | 8920 | 3.8223 |
947
+ | 1.2243 | 0.893 | 8930 | 3.8418 |
948
+ | 1.184 | 0.894 | 8940 | 3.8470 |
949
+ | 1.2281 | 0.895 | 8950 | 3.8136 |
950
+ | 1.2289 | 0.896 | 8960 | 3.8211 |
951
+ | 1.1995 | 0.897 | 8970 | 3.8204 |
952
+ | 1.187 | 0.898 | 8980 | 3.8300 |
953
+ | 1.1981 | 0.899 | 8990 | 3.8320 |
954
+ | 1.2387 | 0.9 | 9000 | 3.8276 |
955
+ | 1.2377 | 0.901 | 9010 | 3.8287 |
956
+ | 1.2821 | 0.902 | 9020 | 3.8271 |
957
+ | 1.3417 | 0.903 | 9030 | 3.8232 |
958
+ | 1.4299 | 0.904 | 9040 | 3.8170 |
959
+ | 1.2262 | 0.905 | 9050 | 3.8238 |
960
+ | 1.3383 | 0.906 | 9060 | 3.8245 |
961
+ | 1.3091 | 0.907 | 9070 | 3.8152 |
962
+ | 1.1738 | 0.908 | 9080 | 3.8229 |
963
+ | 1.1697 | 0.909 | 9090 | 3.8354 |
964
+ | 1.2209 | 0.91 | 9100 | 3.8108 |
965
+ | 1.2125 | 0.911 | 9110 | 3.8141 |
966
+ | 1.2135 | 0.912 | 9120 | 3.8360 |
967
+ | 1.1404 | 0.913 | 9130 | 3.8310 |
968
+ | 1.2161 | 0.914 | 9140 | 3.8289 |
969
+ | 1.1924 | 0.915 | 9150 | 3.8365 |
970
+ | 1.1901 | 0.916 | 9160 | 3.8359 |
971
+ | 1.2155 | 0.917 | 9170 | 3.8165 |
972
+ | 1.2111 | 0.918 | 9180 | 3.8243 |
973
+ | 1.3481 | 0.919 | 9190 | 3.8391 |
974
+ | 1.1716 | 0.92 | 9200 | 3.8320 |
975
+ | 1.2404 | 0.921 | 9210 | 3.8296 |
976
+ | 1.1468 | 0.922 | 9220 | 3.8268 |
977
+ | 1.3044 | 0.923 | 9230 | 3.8205 |
978
+ | 1.2892 | 0.924 | 9240 | 3.8174 |
979
+ | 1.2333 | 0.925 | 9250 | 3.8222 |
980
+ | 1.2826 | 0.926 | 9260 | 3.8272 |
981
+ | 1.1637 | 0.927 | 9270 | 3.8215 |
982
+ | 1.1579 | 0.928 | 9280 | 3.8255 |
983
+ | 1.199 | 0.929 | 9290 | 3.8297 |
984
+ | 1.1366 | 0.93 | 9300 | 3.8326 |
985
+ | 1.2473 | 0.931 | 9310 | 3.8304 |
986
+ | 1.2459 | 0.932 | 9320 | 3.8236 |
987
+ | 1.1259 | 0.933 | 9330 | 3.8293 |
988
+ | 1.1531 | 0.934 | 9340 | 3.8406 |
989
+ | 1.2119 | 0.935 | 9350 | 3.8305 |
990
+ | 1.3924 | 0.936 | 9360 | 3.8213 |
991
+ | 1.2839 | 0.937 | 9370 | 3.8157 |
992
+ | 1.2187 | 0.938 | 9380 | 3.8140 |
993
+ | 1.1793 | 0.939 | 9390 | 3.8168 |
994
+ | 1.2865 | 0.94 | 9400 | 3.8105 |
995
+ | 1.1805 | 0.941 | 9410 | 3.8076 |
996
+ | 1.2965 | 0.942 | 9420 | 3.8178 |
997
+ | 1.2113 | 0.943 | 9430 | 3.8291 |
998
+ | 1.2204 | 0.944 | 9440 | 3.8340 |
999
+ | 1.1904 | 0.945 | 9450 | 3.8227 |
1000
+ | 1.2431 | 0.946 | 9460 | 3.8080 |
1001
+ | 1.3614 | 0.947 | 9470 | 3.8102 |
1002
+ | 1.2818 | 0.948 | 9480 | 3.8149 |
1003
+ | 1.1449 | 0.949 | 9490 | 3.8210 |
1004
+ | 1.2737 | 0.95 | 9500 | 3.8226 |
1005
+ | 1.1359 | 0.951 | 9510 | 3.8258 |
1006
+ | 1.2892 | 0.952 | 9520 | 3.8243 |
1007
+ | 1.3162 | 0.953 | 9530 | 3.8191 |
1008
+ | 1.2826 | 0.954 | 9540 | 3.8221 |
1009
+ | 1.1769 | 0.955 | 9550 | 3.8258 |
1010
+ | 1.2128 | 0.956 | 9560 | 3.8310 |
1011
+ | 1.1731 | 0.957 | 9570 | 3.8300 |
1012
+ | 1.2822 | 0.958 | 9580 | 3.8262 |
1013
+ | 1.2047 | 0.959 | 9590 | 3.8289 |
1014
+ | 1.2049 | 0.96 | 9600 | 3.8296 |
1015
+ | 1.248 | 0.961 | 9610 | 3.8303 |
1016
+ | 1.182 | 0.962 | 9620 | 3.8289 |
1017
+ | 1.1664 | 0.963 | 9630 | 3.8288 |
1018
+ | 1.1832 | 0.964 | 9640 | 3.8336 |
1019
+ | 1.1865 | 0.965 | 9650 | 3.8360 |
1020
+ | 1.2062 | 0.966 | 9660 | 3.8366 |
1021
+ | 1.2313 | 0.967 | 9670 | 3.8347 |
1022
+ | 1.2191 | 0.968 | 9680 | 3.8321 |
1023
+ | 1.2971 | 0.969 | 9690 | 3.8302 |
1024
+ | 1.3044 | 0.97 | 9700 | 3.8281 |
1025
+ | 1.1974 | 0.971 | 9710 | 3.8225 |
1026
+ | 1.2238 | 0.972 | 9720 | 3.8217 |
1027
+ | 1.2993 | 0.973 | 9730 | 3.8200 |
1028
+ | 1.3517 | 0.974 | 9740 | 3.8172 |
1029
+ | 1.2726 | 0.975 | 9750 | 3.8197 |
1030
+ | 1.1928 | 0.976 | 9760 | 3.8203 |
1031
+ | 1.1851 | 0.977 | 9770 | 3.8242 |
1032
+ | 1.224 | 0.978 | 9780 | 3.8267 |
1033
+ | 1.2013 | 0.979 | 9790 | 3.8321 |
1034
+ | 1.2403 | 0.98 | 9800 | 3.8302 |
1035
+ | 1.2332 | 0.981 | 9810 | 3.8292 |
1036
+ | 1.2009 | 0.982 | 9820 | 3.8287 |
1037
+ | 1.2405 | 0.983 | 9830 | 3.8273 |
1038
+ | 1.2437 | 0.984 | 9840 | 3.8261 |
1039
+ | 1.2705 | 0.985 | 9850 | 3.8262 |
1040
+ | 1.1487 | 0.986 | 9860 | 3.8236 |
1041
+ | 1.1559 | 0.987 | 9870 | 3.8261 |
1042
+ | 1.1484 | 0.988 | 9880 | 3.8260 |
1043
+ | 1.166 | 0.989 | 9890 | 3.8266 |
1044
+ | 1.1824 | 0.99 | 9900 | 3.8260 |
1045
+ | 1.1619 | 0.991 | 9910 | 3.8272 |
1046
+ | 1.1429 | 0.992 | 9920 | 3.8262 |
1047
+ | 1.1452 | 0.993 | 9930 | 3.8262 |
1048
+ | 1.1366 | 0.994 | 9940 | 3.8258 |
1049
+ | 1.1314 | 0.995 | 9950 | 3.8267 |
1050
+ | 1.2708 | 0.996 | 9960 | 3.8291 |
1051
+ | 1.2712 | 0.997 | 9970 | 3.8273 |
1052
+ | 1.1591 | 0.998 | 9980 | 3.8275 |
1053
+ | 1.2451 | 0.999 | 9990 | 3.8274 |
1054
+ | 1.3344 | 1.0 | 10000 | 3.8262 |
1055
+
1056
+
1057
+ ### Framework versions
1058
+
1059
+ - Transformers 4.44.0.dev0
1060
+ - Pytorch 2.1.0+cu121
1061
+ - Datasets 2.20.0
1062
+ - Tokenizers 0.19.1