Colab used to train this model 👉👉 gpt remaker Both training and inferencing are included in the colab. Happy coding!

Model Information

• Model Name: GPTagalog
• Version: 2
• Training Iterations: 143,000
• Learning Rate: 6e-4
• Language: Tagalog
• Compatibility: Pickle (pkl) format (cuda)
• Model Size: 30MB
• Training Time: Approx 2 hours and 30 minutes
• Usage: Experimental, not suitable for commercial purposes

Model Description

This was designed to explore the capabilities of training a language model on a small dataset and to see how it performs in generating text in the Tagalog language.

Training Details

Iterations and Epochs: GPTagalog was trained for 143,000 iterations over 60 epochs. This extended training period aimed to refine its language generation abilities.

Learning Rate: The model was trained with a learning rate of 6e-4, which was chosen to optimize learning and convergence.

Model Size: GPTagalog is relatively small with a file size of 30MB. This small size is due to its experimental nature and limited resources.

Usage Guidelines

Experimental Use: GPTagalog Version 2 is an experimental model and is not recommended for commercial purposes. It may have limitations in generating coherent and contextually accurate text.

Resource Constraints: Due to resource limitations, the model's training was limited to 143,000 iterations and a maximum training time of 6 hours. This is considerably shorter than the training duration of larger models like GPT-2, which has 143 million parameters and takes several days to train.