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Q6: add last p2 checkpoints for spatial_CL / spatial_noCL

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  1. Q6/ckpt/spatial_CL/s0__p2/episode_0046/README.md +202 -0
  2. Q6/ckpt/spatial_CL/s0__p2/episode_0046/adapter_config.json +47 -0
  3. Q6/ckpt/spatial_CL/s0__p2/episode_0046/adapter_model.safetensors +3 -0
  4. Q6/ckpt/spatial_CL/s0__p2/episode_0046/dataset_statistics.json +1 -0
  5. Q6/ckpt/spatial_CL/s0__p2/episode_0046/run_config.yaml +78 -0
  6. Q6/ckpt/spatial_CL/s0__p2/episode_0046/scheduler_state.json +59 -0
  7. Q6/ckpt/spatial_CL/s0__p2/episode_0046/training_state.pt +3 -0
  8. Q6/ckpt/spatial_CL/s1__p2/episode_0046/README.md +202 -0
  9. Q6/ckpt/spatial_CL/s1__p2/episode_0046/adapter_config.json +47 -0
  10. Q6/ckpt/spatial_CL/s1__p2/episode_0046/adapter_model.safetensors +3 -0
  11. Q6/ckpt/spatial_CL/s1__p2/episode_0046/dataset_statistics.json +1 -0
  12. Q6/ckpt/spatial_CL/s1__p2/episode_0046/run_config.yaml +78 -0
  13. Q6/ckpt/spatial_CL/s1__p2/episode_0046/scheduler_state.json +59 -0
  14. Q6/ckpt/spatial_CL/s1__p2/episode_0046/training_state.pt +3 -0
  15. Q6/ckpt/spatial_noCL/s0__p2/episode_0017/README.md +202 -0
  16. Q6/ckpt/spatial_noCL/s0__p2/episode_0017/adapter_config.json +47 -0
  17. Q6/ckpt/spatial_noCL/s0__p2/episode_0017/adapter_model.safetensors +3 -0
  18. Q6/ckpt/spatial_noCL/s0__p2/episode_0017/dataset_statistics.json +1 -0
  19. Q6/ckpt/spatial_noCL/s0__p2/episode_0017/run_config.yaml +71 -0
  20. Q6/ckpt/spatial_noCL/s0__p2/episode_0017/scheduler_state.json +59 -0
  21. Q6/ckpt/spatial_noCL/s0__p2/episode_0017/training_state.pt +3 -0
  22. Q6/ckpt/spatial_noCL/s1__p2/episode_0017/README.md +202 -0
  23. Q6/ckpt/spatial_noCL/s1__p2/episode_0017/adapter_config.json +47 -0
  24. Q6/ckpt/spatial_noCL/s1__p2/episode_0017/adapter_model.safetensors +3 -0
  25. Q6/ckpt/spatial_noCL/s1__p2/episode_0017/dataset_statistics.json +1 -0
  26. Q6/ckpt/spatial_noCL/s1__p2/episode_0017/run_config.yaml +71 -0
  27. Q6/ckpt/spatial_noCL/s1__p2/episode_0017/scheduler_state.json +59 -0
  28. Q6/ckpt/spatial_noCL/s1__p2/episode_0017/training_state.pt +3 -0
Q6/ckpt/spatial_CL/s0__p2/episode_0046/README.md ADDED
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+ ---
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+ base_model: IPEC-COMMUNITY/spatialvla-4b-224-sft-bridge
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+ library_name: peft
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+ ---
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+
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+ # Model Card for Model ID
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+
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+ <!-- Provide a quick summary of what the model is/does. -->
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+
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+
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+
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+ ## Model Details
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+
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+ ### Model Description
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+
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+ <!-- Provide a longer summary of what this model is. -->
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+
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+
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+
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+ - **Developed by:** [More Information Needed]
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+ - **Funded by [optional]:** [More Information Needed]
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+ - **Shared by [optional]:** [More Information Needed]
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+ - **Model type:** [More Information Needed]
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+ - **Language(s) (NLP):** [More Information Needed]
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+ - **License:** [More Information Needed]
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+ - **Finetuned from model [optional]:** [More Information Needed]
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+
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+ ### Model Sources [optional]
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+
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+ <!-- Provide the basic links for the model. -->
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+
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+ - **Repository:** [More Information Needed]
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+ - **Paper [optional]:** [More Information Needed]
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+ - **Demo [optional]:** [More Information Needed]
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+
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+ ## Uses
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+
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+ <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
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+
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+ ### Direct Use
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+
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+ <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
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+
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+ [More Information Needed]
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+
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+ ### Downstream Use [optional]
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+
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+ <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
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+
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+ [More Information Needed]
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+
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+ ### Out-of-Scope Use
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+
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+ <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
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+
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+ [More Information Needed]
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+
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+ ## Bias, Risks, and Limitations
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+
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+ <!-- This section is meant to convey both technical and sociotechnical limitations. -->
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+
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+ [More Information Needed]
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+
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+ ### Recommendations
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+
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+ <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
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+
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+ Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
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+
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+ ## How to Get Started with the Model
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+
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+ Use the code below to get started with the model.
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+
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+ [More Information Needed]
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+
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+ ## Training Details
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+
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+ ### Training Data
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+
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+ <!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
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+
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+ [More Information Needed]
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+
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+ ### Training Procedure
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+
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+ <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
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+
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+ #### Preprocessing [optional]
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+
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+ [More Information Needed]
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+
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+
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+ #### Training Hyperparameters
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+
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+ - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
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+
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+ #### Speeds, Sizes, Times [optional]
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+
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+ <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
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+
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+ [More Information Needed]
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+
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+ ## Evaluation
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+
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+ <!-- This section describes the evaluation protocols and provides the results. -->
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+
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+ ### Testing Data, Factors & Metrics
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+
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+ #### Testing Data
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+
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+ <!-- This should link to a Dataset Card if possible. -->
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+
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+ [More Information Needed]
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+
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+ #### Factors
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+
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+ <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
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+
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+ [More Information Needed]
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+
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+ #### Metrics
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+
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+ <!-- These are the evaluation metrics being used, ideally with a description of why. -->
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+
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+ [More Information Needed]
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+
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+ ### Results
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+
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+ [More Information Needed]
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+
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+ #### Summary
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+
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+
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+
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+ ## Model Examination [optional]
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+
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+ <!-- Relevant interpretability work for the model goes here -->
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+
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+ [More Information Needed]
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+
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+ ## Environmental Impact
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+
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+ <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
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+
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+ Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
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+
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+ - **Hardware Type:** [More Information Needed]
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+ - **Hours used:** [More Information Needed]
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+ - **Cloud Provider:** [More Information Needed]
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+ - **Compute Region:** [More Information Needed]
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+ - **Carbon Emitted:** [More Information Needed]
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+
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+ ## Technical Specifications [optional]
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+
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+ ### Model Architecture and Objective
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+
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+ [More Information Needed]
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+
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+ ### Compute Infrastructure
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+
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+ [More Information Needed]
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+
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+ #### Hardware
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+
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+ [More Information Needed]
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+
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+ #### Software
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+
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+ [More Information Needed]
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+
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+ ## Citation [optional]
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+
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+ <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
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+
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+ **BibTeX:**
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+
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+ [More Information Needed]
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+
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+ **APA:**
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+
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+ [More Information Needed]
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+
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+ ## Glossary [optional]
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+
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+ <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
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+
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+ [More Information Needed]
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+
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+ ## More Information [optional]
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+
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+ [More Information Needed]
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+
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+ ## Model Card Authors [optional]
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+
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+ [More Information Needed]
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+
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+ ## Model Card Contact
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+
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+ [More Information Needed]
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+ ### Framework versions
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+
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+ - PEFT 0.14.0
Q6/ckpt/spatial_CL/s0__p2/episode_0046/adapter_config.json ADDED
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+ name: CRONOS-spatialvla-four_group_sequential_2x2-T2560-normal-seed0
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+ ---
2
+ base_model: IPEC-COMMUNITY/spatialvla-4b-224-sft-bridge
3
+ library_name: peft
4
+ ---
5
+
6
+ # Model Card for Model ID
7
+
8
+ <!-- Provide a quick summary of what the model is/does. -->
9
+
10
+
11
+
12
+ ## Model Details
13
+
14
+ ### Model Description
15
+
16
+ <!-- Provide a longer summary of what this model is. -->
17
+
18
+
19
+
20
+ - **Developed by:** [More Information Needed]
21
+ - **Funded by [optional]:** [More Information Needed]
22
+ - **Shared by [optional]:** [More Information Needed]
23
+ - **Model type:** [More Information Needed]
24
+ - **Language(s) (NLP):** [More Information Needed]
25
+ - **License:** [More Information Needed]
26
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+ ## Uses
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+ <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
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+ ## How to Get Started with the Model
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+ ## Training Details
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+ ## Model Examination [optional]
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+ ## Environmental Impact
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+ Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
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+ ### Framework versions
201
+
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+ - PEFT 0.14.0
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1
+ ---
2
+ base_model: IPEC-COMMUNITY/spatialvla-4b-224-sft-bridge
3
+ library_name: peft
4
+ ---
5
+
6
+ # Model Card for Model ID
7
+
8
+ <!-- Provide a quick summary of what the model is/does. -->
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+
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+
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+ ## Model Details
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+
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+ ### Model Description
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+
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+ <!-- Provide a longer summary of what this model is. -->
17
+
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+
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+
20
+ - **Developed by:** [More Information Needed]
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+ - **Funded by [optional]:** [More Information Needed]
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+ - **Shared by [optional]:** [More Information Needed]
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+ - **Model type:** [More Information Needed]
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+ - **Language(s) (NLP):** [More Information Needed]
25
+ - **License:** [More Information Needed]
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+ - **Finetuned from model [optional]:** [More Information Needed]
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+
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+ ### Model Sources [optional]
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+
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+ <!-- Provide the basic links for the model. -->
31
+
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+ - **Repository:** [More Information Needed]
33
+ - **Paper [optional]:** [More Information Needed]
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+ - **Demo [optional]:** [More Information Needed]
35
+
36
+ ## Uses
37
+
38
+ <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
39
+
40
+ ### Direct Use
41
+
42
+ <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
43
+
44
+ [More Information Needed]
45
+
46
+ ### Downstream Use [optional]
47
+
48
+ <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
49
+
50
+ [More Information Needed]
51
+
52
+ ### Out-of-Scope Use
53
+
54
+ <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
55
+
56
+ [More Information Needed]
57
+
58
+ ## Bias, Risks, and Limitations
59
+
60
+ <!-- This section is meant to convey both technical and sociotechnical limitations. -->
61
+
62
+ [More Information Needed]
63
+
64
+ ### Recommendations
65
+
66
+ <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
67
+
68
+ Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
69
+
70
+ ## How to Get Started with the Model
71
+
72
+ Use the code below to get started with the model.
73
+
74
+ [More Information Needed]
75
+
76
+ ## Training Details
77
+
78
+ ### Training Data
79
+
80
+ <!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
81
+
82
+ [More Information Needed]
83
+
84
+ ### Training Procedure
85
+
86
+ <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
87
+
88
+ #### Preprocessing [optional]
89
+
90
+ [More Information Needed]
91
+
92
+
93
+ #### Training Hyperparameters
94
+
95
+ - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
96
+
97
+ #### Speeds, Sizes, Times [optional]
98
+
99
+ <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
100
+
101
+ [More Information Needed]
102
+
103
+ ## Evaluation
104
+
105
+ <!-- This section describes the evaluation protocols and provides the results. -->
106
+
107
+ ### Testing Data, Factors & Metrics
108
+
109
+ #### Testing Data
110
+
111
+ <!-- This should link to a Dataset Card if possible. -->
112
+
113
+ [More Information Needed]
114
+
115
+ #### Factors
116
+
117
+ <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
118
+
119
+ [More Information Needed]
120
+
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+ #### Metrics
122
+
123
+ <!-- These are the evaluation metrics being used, ideally with a description of why. -->
124
+
125
+ [More Information Needed]
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+
127
+ ### Results
128
+
129
+ [More Information Needed]
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+
131
+ #### Summary
132
+
133
+
134
+
135
+ ## Model Examination [optional]
136
+
137
+ <!-- Relevant interpretability work for the model goes here -->
138
+
139
+ [More Information Needed]
140
+
141
+ ## Environmental Impact
142
+
143
+ <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
144
+
145
+ Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
146
+
147
+ - **Hardware Type:** [More Information Needed]
148
+ - **Hours used:** [More Information Needed]
149
+ - **Cloud Provider:** [More Information Needed]
150
+ - **Compute Region:** [More Information Needed]
151
+ - **Carbon Emitted:** [More Information Needed]
152
+
153
+ ## Technical Specifications [optional]
154
+
155
+ ### Model Architecture and Objective
156
+
157
+ [More Information Needed]
158
+
159
+ ### Compute Infrastructure
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+
161
+ [More Information Needed]
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+
163
+ #### Hardware
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+ ## Glossary [optional]
184
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+ <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
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+ ## Model Card Contact
198
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200
+ ### Framework versions
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+
202
+ - PEFT 0.14.0
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+ ---
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+ base_model: IPEC-COMMUNITY/spatialvla-4b-224-sft-bridge
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+ library_name: peft
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+ ---
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+
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+ # Model Card for Model ID
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+ - PEFT 0.14.0
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Q6/ckpt/spatial_noCL/s1__p2/episode_0017/run_config.yaml ADDED
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+ name: CRONOS-spatialvla-four_group_sequential_2x2-T2560-normal-seed1
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+ seed: 1
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+ resume_episode: 0
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+ env_id: PickPlaceNxM-v1
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+ env_n: 2
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+ env_m: 2
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+ num_envs: 64
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+ obj_set: rand
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+ obj1_index: 7
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+ obj2_index: 2
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+ obj3_index: 10
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+ plate1_index: 1
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+ plate2_index: 2
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+ plate3_index: 3
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+ scene: ''
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+ segment_len: 80
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+ episode_len: 2560
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+ task_len: 80
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+ ppo_update_len: 160
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+ max_episodes: 10
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+ max_steps: 0
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+ max_reset: 640
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+ config_path: configs/four_group_sequential_2x2.yaml
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+ task_order: sequential
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+ task_filter: ''
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+ reset_mode: per_episode
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+ reset_robot: true
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+ reset_unsuitable: false
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+ unsuitable_detector: low_z
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+ hsr_reset_scope: per_env
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+ record_segment_pose: true
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+ record_end_of_segment_xyz: false
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+ enable_backward: false
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+ backward_interval: 1
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+ alg_ppo_epoch: 1
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+ alg_gradient_accum: 20
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+ buffer_gamma: 0.99
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+ buffer_lambda: 0.95
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+ buffer_minibatch: 8
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+ buffer_inferbatch: 32
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+ policy: spatialvla
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+ vla_path: IPEC-COMMUNITY/spatialvla-4b-224-sft-bridge
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+ vla_load_path: /weka/robots-default/poyiw/Autonomous_RL/CRONOS/CRONOS-spatialvla-four_group_sequential_2x2-T2560-normal-seed1/wandb/run-20260814_190556-fn01ukxw/glob/episode_0008
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+ vla_unnorm_key: bridge_orig/1.0.0
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+ vla_lora_rank: 32
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+ vla_lr: 0.0001
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+ vla_vhlr: 0.003
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+ vla_grad_norm: 10.0
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+ vla_optim_beta1: 0.9
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+ vla_optim_beta2: 0.999
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+ vla_temperature: 1.0
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+ vla_temperature_eval: 0.0
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+ eval_interval: 1
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+ num_eval_episode: 4
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+ eval_at_start: false
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+ eval_single: false
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+ eval_sequential: false
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+ eval_sequences: 5
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+ vla_checkpoint_interval: 1
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+ resume_from: ''
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+ wandb: true
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+ wandb_dir: CRONOS-spatialvla-four_group_sequential_2x2-T2560-normal-seed1
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+ record_video: true
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+ ppo_log: ppo_log.txt
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+ eval_report: eval_report.txt
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+ log_file: run.log
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+ start_time: '2026-08-26T16:20:14.502787Z'
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+ cronos_version: V0.3
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+ git_rev: e45cdb86f5cb717413258a1713bab07820fc9ea0
Q6/ckpt/spatial_noCL/s1__p2/episode_0017/scheduler_state.json ADDED
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+ {
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+ "mode": "sequential",
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+ "task_pool": [
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+ "put ketchup bottle on yellow_plate",
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+ "put ketchup bottle on cloth",
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+ "put kitchen shovel on yellow_plate",
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+ "put kitchen shovel on cloth",
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+ "put bread on newspaper",
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+ "put bread on carpet",
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+ "put 7up can on newspaper",
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+ "put 7up can on carpet",
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+ "put carrot on sheet metal",
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+ "put carrot on flat bowl",
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+ "put banana on sheet metal",
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+ "put banana on flat bowl",
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+ "put hamburger on frying pan",
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+ "put hamburger on cutting board",
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+ "put plastic bottle on frying pan",
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+ "put plastic bottle on cutting board"
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+ ]
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+ }
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