---
license: mit
language:
- en
metrics:
- accuracy
pipeline_tag: feature-extraction
tags:
- medical
---
# Model Card
This is fine-tuned model `BrAIn MRI v0.1` of Google's Gemma model on custom medical dataset.
Current version fine-tuned on 200+ data, later on I will fine-tune with over 3 million real data.

- **Developed by:** [https://linkedin.com/in/abdibrokhim]
- **Finetuned from model [Google's Gemma]:** [https://huggingface.co/google/gemma-7b]

### Model Sources

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- **Github Repository:** [https://github.com/abdibrokhim/BrAIn-MRI-App-API]
- **HuggingFace Repository:** [https://huggingface.co/abdibrokhim/gemma-fine-tuned-brainmri-2402]

## Uses

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### Direct Use

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### Downstream Use [optional]

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### Out-of-Scope Use

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## Bias, Risks, and Limitations

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### Recommendations

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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.

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## Training Details

### Training Data

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### Training Procedure

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#### Preprocessing [optional]

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#### Training Hyperparameters

- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->

#### Speeds, Sizes, Times [optional]

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## Evaluation

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### Testing Data, Factors & Metrics

#### Testing Data

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#### Factors

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#### Metrics

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### Results

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#### Summary



## Model Examination [optional]

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## Environmental Impact

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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).

- **Hardware Type:** [More Information Needed]
- **Hours used:** [More Information Needed]
- **Cloud Provider:** [More Information Needed]
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- **Carbon Emitted:** [More Information Needed]

## Technical Specifications [optional]

### Model Architecture and Objective

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### Compute Infrastructure

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#### Hardware

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#### Software

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## Citation [optional]

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**APA:**

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## Glossary [optional]

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## Model Card Authors [optional]

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## Model Card Contact

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