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    • Stas Bekman's avatar
      [examples/seq2seq/README.md] fix t5 examples (#10734) · 9352b515
      Stas Bekman authored
      * [examples/seq2seq] fix t5 examples
      
      This PR:
      * fixes T5 examples to include `--source_prefix` - it's **not** optional. If you give it a try you will see that you get 10x worse bleu scores w/o it. w/ `27.6849`, w/ `2.374`
      * added a normal translation example w/o the peculiarities of MBart and T5
      * reduces the default max samples to 50 so it's much faster to test quickly
      
      summarization seems to be broken for t5 score-wise: https://github.com/huggingface/transformers/issues/10733
      
      @sgugger
      
      * specify explicitly the t5 models requiring the special handling
      
      * one more
      
      * update the t5 summarization example to use cnn_dailymail
      
      * move max*samples into the top level README.md
      
      * better wording
      
      * better wording
      9352b515
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