This model is a GPTJ (with 17,637,632 parameters) trained from scratch on a synthetic dataset (1gb of documents created in 4 fake languages, each with a formal and informal writing style) for 1 epoch.
It achieves the following results on the evaluation set:
Loss: 3.5592
Intended uses & limitations
This model is to be used as a base model for fine-tuning any language/task to probe the effectiveness of both pre-training on an algorithmically generated corpus and effectiveness of extremely small language models (SLMs?). It can only generate text based on its training data (which will be uploaded as a huggingface dataset soon).
Training and evaluation data
More information needed
Training hyperparameters
The following hyperparameters were used during training:
