YutianChen commited on
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a3fb426
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1 Parent(s): aa2cbcf

Clarify fine-tuning and download path

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  1. README.md +4 -4
README.md CHANGED
@@ -32,19 +32,19 @@ checkpoints/unified_encoder.ckpt model weights (EMA, bf16, 55.6M parameters)
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  ```
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  Keep `.hydra/` next to `checkpoints/`, because the code rebuilds the model from it. The checkpoint
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- holds weights only, without optimizer state, so it supports evaluation and fine-tuning from these
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- weights, not exact resumption of the training run.
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  ## Quick Usage
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  With the [code](https://github.com/unified-inertial-encoder/Unified-Inertial-Encoder) installed:
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  ```bash
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- hf download Open-IO/Unified-Inertial-Encoder --local-dir ckpts/unified-inertial-encoder
 
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  hf download Open-IO/humanoid-g1-odometry --repo-type dataset \
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  --local-dir "$FOUNDATIONIMU_CACHE_ROOT/humanoid_superodom_clips_v2"
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- RUN=ckpts/unified-inertial-encoder
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  python -m src.eval_foundation \
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  --ckpt "$RUN/checkpoints/unified_encoder.ckpt" \
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  --data_from "$RUN" \
 
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  ```
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  Keep `.hydra/` next to `checkpoints/`, because the code rebuilds the model from it. The checkpoint
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+ holds weights only, without optimizer state, so it supports evaluation and fine-tuning
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+ (`'meta.resume_from=<CKPT>' meta.resume_full_state=false`), not exact resumption of the training run.
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  ## Quick Usage
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  With the [code](https://github.com/unified-inertial-encoder/Unified-Inertial-Encoder) installed:
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  ```bash
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+ RUN="${FOUNDATIONIMU_EXP_ROOT:-experiments}/unified-inertial-encoder"
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+ hf download Open-IO/Unified-Inertial-Encoder --local-dir "$RUN"
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  hf download Open-IO/humanoid-g1-odometry --repo-type dataset \
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  --local-dir "$FOUNDATIONIMU_CACHE_ROOT/humanoid_superodom_clips_v2"
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  python -m src.eval_foundation \
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  --ckpt "$RUN/checkpoints/unified_encoder.ckpt" \
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  --data_from "$RUN" \