rut5 base summ Model Finetuned ai forever/ruT5 base for text and dialogue summarization. Data d0rj/samsum ru IlyaGusev/gazeta zjkarina/matreshka rcp meetings/rudialogsum v2 GEM/wiki lingua mlsum All 'train' subsets was concatenated and shuffled with seed 1000 7 . Train subset = 155678 rows. Metrics Evaluation on 10% of concatenated 'validation' subsets = 1458 rows. See WandB logs. See report at REPORT WIP . Notes Scheduler, optimizer and trainer states are saved into this repo, so you can use that to continue finetune with your own data with existing gradients. Usage Summarization pipeline Text to text generation
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