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README.md
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metrics:
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- accuracy
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library_name: adapter-transformers
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metrics:
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- accuracy
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library_name: adapter-transformers
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---
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# Model Card for {{ model_id | default("Model ID", true) }}
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This AI is specialised in aviation topic, and can help you with many queries.
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{{ model_summary | default("", true) }}
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## Model Details
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### Model Description
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The SkyReach Companion AI, developed by SkyX International Community, is part of the SkyReach Academy project. It answers a wide range of aviation-related questions and is continually improved to provide accurate and up-to-date information.
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{{ model_description | default("", true) }}
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- **Developed by:** {{ developers | default("[SkyX International Community]", true)}}
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- **Funded by [optional]:** {{ funded_by | default("[SkyX International Community]", true)}}
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- **Shared by [optional]:** {{ shared_by | default("[SkyX International Community]", true)}}
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- **Model type:** {{ model_type | default("[More Information Needed]", true)}}
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- **Language(s) (NLP):** {{ language | default("[en - fr - de - es - hi - ar - da - nl - ru - it - pt - id - cs - pl]", true)}}
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- **License:** {{ license | default("[Apache 2.0]", true)}}
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- **Finetuned from model [optional]:** {{ base_model | default("[More Information Needed]", true)}}
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### Model Sources [optional]
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<!-- Provide the basic links for the model. -->
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- **Repository:** {{ repo | default("[https://huggingface.co/SkyXIntl/SkyReach_Companion_AI]", true)}}
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- **Paper [optional]:** {{ paper | default("[More Information Needed]", true)}}
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- **Demo [optional]:** {{ demo | default("[More Information Needed]", true)}}
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## Uses
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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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### Direct Use
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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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{{ direct_use | default("[The model is used for answering aviation-related questions and generating content about aviation topics.]", true)}}
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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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{{ downstream_use | default("[It can be fine-tuned for specific aviation applications and integrated into aviation apps.]", true)}}
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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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{{ out_of_scope_use | default("[The model is not suitable for non-aviation-related queries or for tasks outside the scope of general aviation knowledge. It may not perform well with highly specialized or niche aviation topics not covered by its training data.]", true)}}
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## Bias, Risks, and Limitations
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<!-- This section is meant to convey both technical and sociotechnical limitations. -->
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{{ bias_risks_limitations | default("[The model may reflect biases present in the training data. For instance, it might show bias towards certain airlines or geographical regions if the data is not balanced. Misinterpretation of the model’s responses may lead to incorrect aviation information being conveyed. The model’s accuracy is dependent on the quality and breadth of its training data. It may not always provide the most current or complete information.]", true)}}
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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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{{ bias_recommendations | default("Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.", true)}}
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## How to Get Started with the Model
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Use the code below to get started with the model.
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{{ get_started_code | default("[More Information Needed]", true)}}
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## Training Details
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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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{{ training_data | default("[The model was trained using a diverse set of aviation-related datasets including flight data, aircraft specifications, and aviation texts. For detailed dataset information, refer to the Dataset Cards]", true)}}
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### Training Procedure
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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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#### Preprocessing [optional]
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{{ preprocessing | default("[More Information Needed]", true)}}
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#### Training Hyperparameters
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- **Training regime:** {{ training_regime | default("[More Information Needed]", true)}} <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
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#### Speeds, Sizes, Times [optional]
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<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
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{{ speeds_sizes_times | default("[More Information Needed]", true)}}
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## Evaluation
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<!-- This section describes the evaluation protocols and provides the results. -->
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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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{{ testing_data | default("[More Information Needed]", true)}}
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#### Factors
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<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
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{{ testing_factors | default("[More Information Needed]", true)}}
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#### Metrics
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<!-- These are the evaluation metrics being used, ideally with a description of why. -->
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{{ testing_metrics | default("[More Information Needed]", true)}}
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### Results
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{{ results | default("[More Information Needed]", true)}}
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#### Summary
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{{ results_summary | default("", true) }}
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## Model Examination [optional]
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<!-- Relevant interpretability work for the model goes here -->
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{{ model_examination | default("[More Information Needed]", true)}}
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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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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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- **Hardware Type:** {{ hardware_type | default("[More Information Needed]", true)}}
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- **Hours used:** {{ hours_used | default("[More Information Needed]", true)}}
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- **Cloud Provider:** {{ cloud_provider | default("[More Information Needed]", true)}}
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- **Compute Region:** {{ cloud_region | default("[More Information Needed]", true)}}
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- **Carbon Emitted:** {{ co2_emitted | default("[More Information Needed]", true)}}
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## Technical Specifications [optional]
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### Model Architecture and Objective
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{{ model_specs | default("[More Information Needed]", true)}}
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### Compute Infrastructure
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{{ compute_infrastructure | default("[More Information Needed]", true)}}
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#### Hardware
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{{ hardware_requirements | default("[More Information Needed]", true)}}
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#### Software
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{{ software | default("[More Information Needed]", true)}}
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## Citation [optional]
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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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{{ citation_bibtex | default("[More Information Needed]", true)}}
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**APA:**
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{{ citation_apa | default("[More Information Needed]", true)}}
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## Glossary [optional]
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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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{{ glossary | default("[More Information Needed]", true)}}
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## More Information [optional]
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{{ more_information | default("[More Information Needed]", true)}}
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## Model Card Authors [optional]
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{{ model_card_authors | default("[More Information Needed]", true)}}
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## Model Card Contact
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{{ model_card_contact | default("[More Information Needed]", true)}}
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