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- # Neural Network-Based Language Model for Next Token Prediction
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-
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- ## Overview
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- 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.
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-
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- ## Table of Contents
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- - [Installation](#installation)
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- - [Usage](#usage)
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- - [Model Architecture](#model-architecture)
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- - [Training](#training)
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- - [Text Generation](#text-generation)
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- - [Results](#results)
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- - [License](#license)
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-
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- ## Installation
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- To run this project, you need to have Python installed along with the following libraries:
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-
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- pip install torch numpy pandas huggingface_hub
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- Usage
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- Clone this repository or download the model files.
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- Use the following code to load the model and generate text:
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- python
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- Copy code
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- from model import YourModelClass # Import your model class
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- model = YourModelClass.load_from_checkpoint('path/to/your/model.pt')
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-
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- # Generate text
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-
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- Training
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- The model was trained using datasets from:
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-
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- English: [Description of the dataset]
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- [Assigned Language]
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- Hyperparameters
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- Learning Rate
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- Batch Size
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- Epochs
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- Text Generation
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- The model can generate text in both English and Assigned Language
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-
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- Results
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- The training curves for both loss and validation loss are provided in the submission.
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  The model's performance is evaluated based on the generated text quality and perplexity score during training.
 
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+ # Neural Network-Based Language Model for Next Token Prediction
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+
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+ ## Overview
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+ This project implements a neural network-based language model designed for next-token prediction using two languages: English and Icelandic. The model is built without the use of transformer or encoder-decoder architectures, focusing instead on traditional neural network techniques.
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+
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+ ## Table of Contents
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+ - [Installation](#installation)
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+ - [Usage](#usage)
9
+ - [Model Architecture](#model-architecture)
10
+ - [Training](#training)
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+ - [Text Generation](#text-generation)
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+ - [Results](#results)
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+ - [License](#license)
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+
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+ ## Installation
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+ To run this project, you need to have Python installed along with the following libraries:
17
+
18
+ pip install torch numpy pandas huggingface_hub
19
+ Usage
20
+ Clone this repository or download the model files.
21
+ Use the following code to load the model and generate text:
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+ python
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+ Copy code
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+ from model import YourModelClass # Import your model class
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+ model = YourModelClass.load_from_checkpoint('path/to/your/model.pt')
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+
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+ # Generate text
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+
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+ Training
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+ The model was trained using datasets from:
31
+
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+ English: [Description of the dataset]
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+ Icelandic
34
+ Hyperparameters
35
+ Learning Rate
36
+ Batch Size
37
+ Epochs
38
+ Text Generation
39
+ The model can generate text in both English and Assigned Language
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+
41
+ Results
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+ The training curves for both loss and validation loss are provided in the submission.
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  The model's performance is evaluated based on the generated text quality and perplexity score during training.