---
library_name: transformers
license: mit
datasets:
- heegyu/news-category-dataset
language:
- en
metrics:
- accuracy
pipeline_tag: text-classification
---

# Model Card for Model ID

<!-- Provide a quick summary of what the model is/does. -->
This model is a finetuning of the distilbert/distilbert-base-uncased llm for the news-category-dataset.


## Model Details
Training took ~1 hour on google colab using an L4 GPU. For the dataset presenting 42 labels, it provides the following accuracies:
{'eval_loss': 1.003881573677063,

 'eval_accuracy': 0.7176901049952275,
}

### Model Description

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

This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.

- **Developed by:** [Kirkos27]
- **Model type:** Text Classification
- **Language(s) (NLP):** English
- **Finetuned from model :** distilbert/distilbert-base-uncased