SEBIS/legal_t5_small_trans_cs_en

The legal_t5_small_trans_cs_en model is based on the t5-small model and was trained on a large corpus of parallel text . This model is trained on three parallel corpus from jrc-acquis, europarl and dcep . This variant has about 60 million parameters . The model could be used for translation of legal texts from Cszech to English . It 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 optimizer used is AdaFactor with inverse square,