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Documentation Improvement: Provide examples for custom configurations in IAN training #21

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Marouane743 opened this issue Nov 12, 2024 · 0 comments

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@Marouane743
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  1. Summary: The README describes training an IAN model but lacks clear examples on customizing configurations. It mentions editing config files but doesn't provide specific examples for users who may want to modify parameters for different experiments.

  2. Expected Improvement:

Add examples showing how to adjust key parameters (e.g., training epochs, learning rate) in the config file for common training setups.
Explain how changing these parameters affects model training.

  1. Proposed Solution:

Include an example configuration file or a code snippet showing how to modify the configuration for training on different datasets or with different settings.
Add a brief explanation of the main parameters that users are likely to modify and their effects on model performance.

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