Pretrained from scratch using GPT-2 architecture and a dataset of Latin texts (
Corpus Corporum)
64 token context, loss 4.5, trained on 1 epoch of 492 million tokens
GPT2 style tokenizer trained with min_frequency of 2000
Tends to get repetitive and is not very coherent, due to size and limited data.
