For convenience, some checkpoints, such as the MAE-pretrained ViT-B model, are provided for manual download. Users must update the following paths accordingly. Relevant checkpoints can be acquired from the website.
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❗ pretrain.sh, finetune.sh, scratch, eval.sh: Please update the following:
- calvin_dataset_path to the directory where you have stored the CALVIN ABC-D data.
- checkpoint_path to the parent directory where your experiment checkpoints are saved.
- finetune_from_pretrained_ckpt to the location of your pre-trained checkpoint.
- resume_from_checkpoint to the location of your fine-tuned checkpoint.
- vit_ckpt_path to the location of your ViT checkpoint (downloaded from the website).
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❗ networkx: Due to compatibility issues between the networkx library in CALVIN and Python 3.10, we provide a compatible version of networkx.zip on the website. Download and unzip it, then replace the existing networkx library in the following path:
bash scripts/CALVIN_ABC_D/Seer/pretrain.sh
bash scripts/CALVIN_ABC_D/Seer/finetune.sh
bash scripts/CALVIN_ABC_D/Seer/eval.sh
bash scripts/CALVIN_ABC_D/Seer/scratch.sh