SEBIS/legal_t5_small_trans_de_es

The legal_t5_small_trans_de_es model is based on the t5-small model and was trained on a large corpus of parallel text . This is a smaller model, which scales the baseline model of t5 down by using dmodel = 512, dff = 2,048, 8-headed attention, and only 6 layers each in the encoder and decoder . The model could be used for translation of legal texts from Deustch to Spanish in PyTorch . It has a total of approximately 220M parameters and has about 60 million parameters . It was trained using a single TPU Pod V3-8 for 250K steps in total, using,