gpt2_priest_ru

Introduction

The gpt2_priest_ru model is a Russian language text generation model based on the GPT-2 architecture. It is fine-tuned specifically for generating text related to religious content, starting from the Sberbank AI's rugpt3small_based_on_gpt2.

Architecture

The model utilizes the GPT-2 architecture, a popular transformer model for text generation tasks. This model is built using PyTorch, and it supports Safetensors, providing a more secure model file format.

Training

The model was fine-tuned on Russian Bible and preaching texts. It was trained for only one epoch with a sequence length of 1650. The current training metrics show a loss of 3.3 and a perplexity of 25.7528, indicating the model's performance on the training data.

Guide: Running Locally

To run the gpt2_priest_ru model locally, follow these steps:

1. Clone the Repository: Clone the model repository from Hugging Face.
2. Install Dependencies: Ensure you have PyTorch and the Transformers library installed.
3. Load the Model: Use the Transformers library to load the model.
4. Generate Text: Input a prompt in Russian, and the model will generate text based on it.

For optimal performance, consider utilizing a cloud GPU service like AWS, Google Cloud, or Azure.

License

The model's usage and distribution are subject to the terms specified by Hugging Face. Ensure compliance with any licensing agreements when using this model.