Upload Readme.md

Readme.md

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+# Neural Network-Based Language Model for Next Token Prediction
+
+## Overview
+This project implements a neural network-based language model designed for next-token prediction using two languages: English and [Assigned Language]. The model is built without the use of transformer or encoder-decoder architectures, focusing instead on traditional neural network techniques.
+
+## Table of Contents
+- [Installation](#installation)
+- [Usage](#usage)
+- [Model Architecture](#model-architecture)
+- [Training](#training)
+- [Text Generation](#text-generation)
+- [Results](#results)
+- [License](#license)
+
+## Installation
+To run this project, you need to have Python installed along with the following libraries:
+
+pip install torch numpy pandas huggingface_hub
+Usage
+Clone this repository or download the model files.
+Use the following code to load the model and generate text:
+python
+Copy code
+from model import YourModelClass  # Import your model class
+model = YourModelClass.load_from_checkpoint('path/to/your/model.pt')
+
+# Generate text
+
+Training
+The model was trained using datasets from:
+
+English: [Description of the dataset]
+[Assigned Language]
+Hyperparameters
+Learning Rate
+Batch Size
+Epochs
+Text Generation
+The model can generate text in both English and Assigned Language
+
+Results
+The training curves for both loss and validation loss are provided in the submission. 
+The model's performance is evaluated based on the generated text quality and perplexity score during training.