SEBIS/legal_t5_small_trans_de_cs

Legal_t5_small_trans_de_cs model is based on the t5-small model and was trained on a large corpus of parallel text . It 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 . This variant has about 60 million parameters . The model could be used for translation of legal texts from Deustch to Cszech in PyTorch . It was first released in this repository in September 2013 . It has a total of approximately 220M parameters and has been trained using the optimizer used is AdaFactor with inverse,