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Update README.md (#1169) [skip ci]

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Fix typo
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Ayush Singh
2024-01-23 04:25:44 -08:00
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@@ -1122,7 +1122,7 @@ If you decode a prompt constructed by axolotl, you might see spaces between toke
1. Materialize some data using `python -m axolotl.cli.preprocess your_config.yml --debug`, and then decode the first few rows with your model's tokenizer.
2. During inference, right before you pass a tensor of token ids to your model, decode these tokens back into a string.
3. Make sure the inference string from #2 looks **exactly** like the data you fine tuned on from #1, including spaces and new lines. If they aren't the same adjust your inference server accordingly.
4. As an additional troubleshooting step, you can look look at the token ids between 1 and 2 to make sure they are identical.
4. As an additional troubleshooting step, you can look at the token ids between 1 and 2 to make sure they are identical.
Having misalignment between your prompts during training and inference can cause models to perform very poorly, so it is worth checking this. See [this blog post](https://hamel.dev/notes/llm/05_tokenizer_gotchas.html) for a concrete example.