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refactor(training): rename eval_freq to env_eval_freq
- Rename eval_freq to env_eval_freq to distinguish sim environment evaluation from offline loss evaluation.
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@@ -120,11 +120,11 @@ lerobot-train \
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--batch_size=4 \
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--eval.batch_size=1 \
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--eval.n_episodes=1 \
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--eval_freq=1000
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--env_eval_freq=1000
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```
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## Practical tips
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- Use the one-hot task conditioning for multi-task training (MT10/MT50 conventions) so policies have explicit task context.
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- Inspect the dataset task descriptions and the `info["is_success"]` keys when writing post-processing or logging so your success metrics line up with the benchmark.
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- Adjust `batch_size`, `steps`, and `eval_freq` to match your compute budget.
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- Adjust `batch_size`, `steps`, and `env_eval_freq` to match your compute budget.
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