---
library_name: transformers
tags: []
---

# Model Card for Model ID

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Further Fine-Tuned (Reinforced) Adapter of [chansurgeplus/OpenELM-270M-cosmopedia-openstax-wikihow-khanacademy-dolly15k-checkpoint](https://huggingface.co/chansurgeplus/OpenELM-270M-cosmopedia-openstax-wikihow-khanacademy-dolly15k-checkpoint/) with a dataset consisting of examples from all the datasets used to fine tune the aforementioned checkpoint.


## Model Details

### Dataset Description

- Dataset: [chansurgeplus/openwikiacademydolly](https://huggingface.co/datasets/chansurgeplus/openwikiacademydolly)
- Total Size: ~20000
- Sampling ratios are given in [chansurgeplus/OpenELM-270M-cosmopedia-openstax-wikihow-khanacademy-dolly15k-checkpoint](https://huggingface.co/chansurgeplus/OpenELM-270M-cosmopedia-openstax-wikihow-khanacademy-dolly15k-checkpoint/)

### Model Description

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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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### Model Sources [optional]

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## Uses

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### Direct Use

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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

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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

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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



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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).

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## Technical Specifications [optional]

### Model Architecture and Objective

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## Citation [optional]

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## Glossary [optional]

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