Docs bart training ref (#8330)
Co-authored-by: Sam Shleifer <sshleifer@gmail.com>
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The Authors' code can be found `here <https://github.com/pytorch/fairseq/tree/master/examples/bart>`__.
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The Authors' code can be found `here <https://github.com/pytorch/fairseq/tree/master/examples/bart>`__.
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Examples
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_______________________________________________________________________________________________________________________
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- Examples and scripts for fine-tuning BART and other models for sequence to sequence tasks can be found in
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`examples/seq2seq/ <https://github.com/huggingface/transformers/blob/master/examples/seq2seq/README.md>`__.
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- An example of how to train :class:`~transformers.BartForConditionalGeneration` with a Hugging Face :obj:`datasets`
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object can be found in this `forum discussion
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<https://discuss.huggingface.co/t/train-bart-for-conditional-generation-e-g-summarization/1904>`__.
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Implementation Notes
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Implementation Notes
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~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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## Sequence to Sequence Training and Evaluation
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## Sequence to Sequence Training and Evaluation
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This directory contains examples for finetuning and evaluating transformers on summarization and translation tasks.
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This directory contains examples for finetuning and evaluating transformers on summarization and translation tasks.
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Please tag @sshleifer with any issues/unexpected behaviors, or send a PR!
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Please tag @patil-suraj with any issues/unexpected behaviors, or send a PR!
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For deprecated `bertabs` instructions, see [`bertabs/README.md`](bertabs/README.md).
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For deprecated `bertabs` instructions, see [`bertabs/README.md`](bertabs/README.md).
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### Supported Architectures
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### Supported Architectures
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