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
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