---
license: apache-2.0
datasets:
- AyoubChLin/20NewsGroup-AgNews-CnnNews
- AyoubChLin/CNN_News_Articles_2011-2022
- ag_news
language:
- en
metrics:
- accuracy
pipeline_tag: text-classification
widget:
- text: money in the pocket
- text: no one can win this cup in quatar..
- text: >-
    new transformers architicture can build a large language model with low
    ressources
---

# 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).

## Model Details

### Model Description

<!-- Provide a longer summary of what this model is. -->



- **Developed by:** [CHERGUELAINE Ayoub](https://www.linkedin.com/in/ayoub-cherguelaine/) & [BOUBEKRI Faycal](https://www.linkedin.com/in/faycal-boubekri-832848199/)
- **Shared by [optional]:** HuggingFace
- **Model type:** Language model
- **Language(s) (NLP):** en
- **License:** [More Information Needed]
- **Finetuned from model [optional]:** [ESG-Bert](https://huggingface.co/nbroad/ESG-BERT)

### Model Sources [optional]

<!-- Provide the basic links for the model. -->

- **Repository:** https://huggingface.co/nbroad/ESG-BERT
- **Paper [optional]:** [More Information Needed]
- **Demo [optional]:** [More Information Needed]


### Recommendations

<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->

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]

## Training Details

### Training Data

<!-- This should link to a Data 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. -->

(AyoubChLin/20NewsGroup-AgNews-CnnNews)[https://huggingface.co/datasets/AyoubChLin/20NewsGroup-AgNews-CnnNews]



###### Fine-tuning hyper-parameters


- learning_rate = 4e-5
- batch_size = 8
- max_seq_length = 256
- num_train_epochs = 2.0



#### Testing Data

[CNN-NEWS-Article](https://huggingface.co/datasets/AyoubChLin/CNN_News_Articles_2011-2022)

[ag_news](https://huggingface.co/datasets/ag_news)

#### Metrics


Accuracy

### Results

----------------------------------------------------------------------------------
[CNN-NEWS-Article](https://huggingface.co/datasets/AyoubChLin/CNN_News_Articles_2011-2022) 
0.957791 / LOSS : 0.197338 
----------------------------------------------------------------------------------
[ag_news](https://huggingface.co/datasets/ag_news) 
0.9417105 / LOSS : 0.25715
----------------------------------------------------------------------------------


#### Summary