Update README.md

README.md

@@ -3,12 +3,6 @@ license: mit
 tags:
 - biology
 ---
-# Model Card for Model ID
-
-<!-- Provide a quick summary of what the model is/does. -->
-
-This modelcard aims to be a base template for new models. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/modelcard_template.md?plain=1).
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 # Model Details
 
 ## Model Description
@@ -30,147 +24,30 @@ This modelcard aims to be a base template for new models. It has been generated
 
 Classificaion of the SARS-Cov2 sequences and determination of mutational hotspots. 
 
-# Bias, Risks, and Limitations
-
-<!-- This section is meant to convey both technical and sociotechnical limitations. -->
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-[More Information Needed]
-
-## Recommendations
-
-<!-- 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.
-
 ## How to Get Started with the Model
 
-Use the code below to get started with the model.
-
-[More Information Needed]
+**Demo [optional]:** [Kaggle](https://www.kaggle.com/code/tavoglc/sars-cov2-mutational-hotspots)
 
 # Training Details
 
-## Training Data
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-
-
-[More Information Needed]
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-## Training Procedure 
-
-<!-- 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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-[More Information Needed]
-
-
-### Training Hyperparameters
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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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-### 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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-[More Information Needed]
-
-# Evaluation
-
-<!-- This section describes the evaluation protocols and provides the results. -->
-
-## Testing Data, Factors & Metrics
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-### Testing Data
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-<!-- This should link to a Data Card if possible. -->
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-[More Information Needed]
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-### Factors
-
-<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+## Training Data and test data
 
-[More Information Needed]
-
-### Metrics
-
-<!-- These are the evaluation metrics being used, ideally with a description of why. -->
-
-[More Information Needed]
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-## Results
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-[More Information Needed]
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-### Summary
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-
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-# Model Examination [optional]
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-<!-- Relevant interpretability work for the model goes here -->
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-[More Information Needed]
-
-# Environmental Impact
-
-<!-- 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:** [More Information Needed]
-- **Hours used:** [More Information Needed]
-- **Cloud Provider:** [More Information Needed]
-- **Compute Region:** [More Information Needed]
-- **Carbon Emitted:** [More Information Needed]
-
-# Technical Specifications [optional]
+Stacked frequence of k-mers up to the 4-mer obtained from full size SARS-Cov2 sequences. NCBI sequence ID of each sequence for each fold is on the csvfile
 
 ## Model Architecture and Objective
 
-[More Information Needed]
+MLP VAE and mse loss
 
-## Compute Infrastructure
-
-[More Information Needed]
+**Demo [optional]:** [Kaggle](https://www.kaggle.com/code/tavoglc/autoencoders-jax-and-sars-cov2)
 
 ### Hardware
 
-[More Information Needed]
-
-### Software
-
-[More Information Needed]
-
-# Citation [optional]
-
-<!-- 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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-<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
-
-[More Information Needed]
+GPU NVIDIA Corporation TU116 [GeForce GTX 1660 Ti]
 
 # More Information [optional]
 
-[More Information Needed]
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-# Model Card Authors [optional]
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-[More Information Needed]
-
-# Model Card Contact
+Further details at 
+**Substack [optional]:** [Substack](https://tavoglc.substack.com/)
 
-[More Information Needed]