Bridge Robot Learning Model

This model is trained on the Bridge dataset for robotic manipulation tasks.

Model Details

  • Architecture: SDPA5 with DIT-B
  • Learning Rate: 1E-4 → 1E-5
  • Batch Size: 16
  • Training Steps: 60K
  • Configuration: FINAL_NO_IMGLOSS__1.3lr

Files

  • model.pt: Model checkpoint (9.7GB)
  • config.json: Model configuration
  • config.yaml: Training configuration
  • dataset_statistics.json: Dataset statistics
  • summary.jsonl: Training summary

Usage

import torch

# Load the model
model = torch.load('model.pt')

Citation

If you use this model, please cite the relevant papers.

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