MissCrispenCakes/GPT2_example_CAMEROON

Brief GPT-2 lab source code and instructions set up as part of the Al/ML course in Cameroon Reference: "Beginner’s Guide to Retrain GPT-2 (117M) to Generate Custom Text Content" # gpt-2 Code from the paper "Language Models are Unsupervised Multitask Learners". We have currently released small (117M parameter) and medium (345M parameter) versions of GPT-2. While we have not released the larger models, we have released a dataset for researchers to study their behaviors. See more details in our blog post. ## Usage This repository is meant to be a starting point for researchers and engineers to experiment with GPT-2. ### Some caveats - GPT-2 models' robustness and worst case behaviors are not well-understood. As with any machine-learned model, carefully evaluate GPT-2 for your use case, especially if used without fine-tuning or in safety-critical applications where reliability is important. - The dataset our GPT-2 models were trained on contains many texts with biases and factual inaccuracies, and thus GPT-2 models are likely to be biased and inaccurate as well. - To avoid having samples mistaken as human-written, we recommend clearly labeling samples as synthetic before wide dissemination. Our models are often incoherent or inaccurate in subtle ways, which takes more than a quick read for a human to notice. ### Work with us Please let us know if you’re doing interesting research with or working on applications of GPT-2! We’re especially interested in hearing from and potentially working with those who are studying - Potential malicious use cases and defenses against them (e.g. the detectability of synthetic text) - The extent of problematic content (e.g. bias) being baked into the models and effective mitigations ## Development See DEVELOPERS.md ## Contributors See CONTRIBUTORS.md ## Fine tuning on custom datasets To retrain GPT-2 117M model on a custom text dataset: ``` PYTHONPATH=src ./train.py --dataset ``` If you want to precompute the dataset's encoding for multiple runs, you can instead use: ``` PYTHONPATH=src ./encode.py /path …