metadata

license: apache-2.0
datasets:
  - fka/awesome-chatgpt-prompts
  - proj-persona/PersonaHub
language:
  - as
  - an
metrics:
  - bertscore
pipeline_tag: text-generation
tags:
  - code
  - not-for-all-audiences
library_name: flair

Project Name

🌟 Overview

Project Name is a state-of-the-art natural language processing (NLP) model developed for [specific task]. The model is trained using the [base_model] architecture and is designed to work across multiple languages, including English, Spanish, French, German, and Chinese.

🌐 Languages Supported

This model supports the following languages:

en: English
es: Spanish
fr: French
de: German
zh: Chinese

📚 Datasets

The model has been trained and evaluated on the following datasets:

IMDB: A dataset containing movie reviews for sentiment analysis.
SQuAD: The Stanford Question Answering Dataset for reading comprehension.
Wikipedia: A large-scale dataset of general knowledge.
COCO: Common Objects in Context (COCO) dataset for various tasks.
CoNLL-2003: A dataset for Named Entity Recognition (NER).

📊 Metrics

The performance of the model has been evaluated using the following metrics:

Accuracy: The percentage of correct predictions.
F1-Score: The harmonic mean of precision and recall.
Precision: The percentage of relevant instances among the retrieved instances.
Recall: The percentage of relevant instances that were retrieved.
BLEU: A metric for evaluating the quality of machine-translated text.

🧠 Base Model

The model is based on the following architecture:

Base Model: bert-base-uncased

⚙️ Installation

To use this model, you need to install the required dependencies:

pip install flair transformers