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arc_benchmark_tutorial's Introduction

ARC-Benchmarking Tutorial

Description

This is the code of the Medium post Exploring AI’s Complexities: Unraveling LLMs Abstract Thinking with ARC

Table of Contents

Installation

On your own Hardware (linux)

python3 pip install torch numpy transformers matplotlib seaborn

On your own Hardware (windows)

Usage

On your own Hardware

Here are examples of how to use this project:

# Start the traing
python3 train_gpt2.py
# Continue the training from checkpoint
python3 train_gpt2.py -c CHECKPOINT_FOLDERNAME

(e.g. CHECKPOINT_FOLDERNAME = gpt2_5e-05)

On Google Colab

  • Open the prepared Notebook in Colab and choose GPU Hardware accelerator
  • Mount to your Google Drive to save checkpoints
  • Copy your checkpoint destination folder starting with "/content/drive/MyDrive"
  • Paste it in
train.train(model_path, learning_rate, batch_size, google_drive_path="/content/drive/MyDrive")

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