PyTorch Transformers

rugpt3xl

Model was trained with 512 sequence length using Deepspeed and Megatron code by SberDevices team, on 80B tokens dataset for 4 epochs. After that model was finetuned 1 epoch with sequence length 2048.
Note! Model has sparse attention blocks.

Total training time was around 10 days on 256 GPUs.
Final perplexity on test set is 12.05. Model parameters: 1.3B.