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transformers - 💡(How to fix) Fix Feature request: Support evaluation every N epochs in TrainingArguments [1 comments, 2 participants]

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huggingface/transformers#45308•Fetched 2026-04-09 07:50:50
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Feature request

Currently, Trainer supports evaluation strategies:

  • "epoch": evaluate every epoch
  • "steps": evaluate every N steps

However, there is no built-in way to evaluate every N epochs (e.g., every 5 epochs).

This is particularly useful when:

  • evaluation is computationally expensive
  • running large-scale training
  • benchmarking periodically instead of every epoch

Suggested API:

  • Add parameter like eval_epochs (int)
  • Or extend eval_strategy="epoch" to support frequency

Example: eval_strategy="epoch" eval_epochs=5 # evaluate every 5 epochs

Currently, this requires custom Trainer overrides or callbacks.

Motivation

Your contribution

extent analysis

TL;DR

Add an eval_epochs parameter to the Trainer's evaluation strategy to support evaluating every N epochs.

Guidance

  • Introduce a new parameter eval_epochs as an integer to specify the evaluation frequency in epochs.
  • Extend the existing eval_strategy="epoch" to accept an additional eval_epochs parameter for custom evaluation intervals.
  • Update the Trainer's logic to respect the eval_epochs parameter when eval_strategy is set to "epoch".
  • Consider adding input validation to ensure eval_epochs is a positive integer.

Example

trainer = Trainer(
    eval_strategy="epoch",
    eval_epochs=5,  # Evaluate every 5 epochs
    # ... other parameters ...
)
``

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