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Use HF papers (#38184)

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* Use hf papers

* Hugging Face papers

* doi to hf papers

* style
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Quentin Gallouédec
2025-06-13 13:07:09 +02:00
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examples/pytorch/language-modeling/README.md
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@@ -75,7 +75,7 @@ python run_clm_no_trainer.py \
### GPT-2/GPT and causal language modeling with fill-in-the middle objective
The following example fine-tunes GPT-2 on WikiText-2 but using the Fill-in-middle training objective. FIM objective was proposed in [Efficient Training of Language Models to Fill in the Middle](https://arxiv.org/abs/2207.14255). They showed that autoregressive language models can learn to infill text after applying a straightforward transformation to the dataset, which simply moves a span of text from the middle of a document to its end.
The following example fine-tunes GPT-2 on WikiText-2 but using the Fill-in-middle training objective. FIM objective was proposed in [Efficient Training of Language Models to Fill in the Middle](https://huggingface.co/papers/2207.14255). They showed that autoregressive language models can learn to infill text after applying a straightforward transformation to the dataset, which simply moves a span of text from the middle of a document to its end.
We're using the raw WikiText-2 (no tokens were replaced before the tokenization). The loss here is that of causal language modeling.