Ten full training checkpoints for a Cosmos3-Edge policy fine-tuned to pick fruits and place them on a plate. Training completed at 10,000 optimizer steps, saving every 1,000 steps. This repository contains approximately 116 GiB of checkpoint data. The repository is public. No access request or token is needed to download it. Each checkpoints/iterXXXXXXXXX/ directory contains 44 files, approximately 11.60 GiB: model parameters, optimizer state, scheduler state, trainer state, and per-rank dataloader state. The.metadata files are required and must be retained. CHECKPOINTS.json records the size and SHA-256 of every checkpoint file. COMPLETE.json is added only after all ten checkpoints have…
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Hui
Emily-Hui-123
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Models on Hugging Face1
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Published tasks: Robotics.
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