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Upload folder using huggingface_hub (part 2)

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  1. 03-43-54_smolvla_gk_adp_real2_2e-3/checkpoints/real_task03_032000/training_state/sequential_state.json +797 -0
  2. 03-43-54_smolvla_gk_adp_real2_2e-3/checkpoints/real_task03_032000/training_state/training_step.json +12 -0
  3. 03-43-54_smolvla_gk_adp_real2_2e-3/checkpoints/real_task03_033000/pretrained_model/README.md +204 -0
  4. 03-43-54_smolvla_gk_adp_real2_2e-3/checkpoints/real_task03_033000/pretrained_model/adapter_config.json +46 -0
  5. 03-43-54_smolvla_gk_adp_real2_2e-3/checkpoints/real_task03_033000/pretrained_model/adapter_model.safetensors +3 -0
  6. 03-43-54_smolvla_gk_adp_real2_2e-3/checkpoints/real_task03_033000/pretrained_model/config.json +102 -0
  7. 03-43-54_smolvla_gk_adp_real2_2e-3/checkpoints/real_task03_033000/pretrained_model/gk_config.json +831 -0
  8. 03-43-54_smolvla_gk_adp_real2_2e-3/checkpoints/real_task03_033000/pretrained_model/gk_expert_0001/adapter_config.json +46 -0
  9. 03-43-54_smolvla_gk_adp_real2_2e-3/checkpoints/real_task03_033000/pretrained_model/gk_expert_0001/adapter_model.safetensors +3 -0
  10. 03-43-54_smolvla_gk_adp_real2_2e-3/checkpoints/real_task03_033000/pretrained_model/gk_expert_0002/adapter_config.json +46 -0
  11. 03-43-54_smolvla_gk_adp_real2_2e-3/checkpoints/real_task03_033000/pretrained_model/gk_expert_0002/adapter_model.safetensors +3 -0
  12. 03-43-54_smolvla_gk_adp_real2_2e-3/checkpoints/real_task03_033000/pretrained_model/gk_router.safetensors +3 -0
  13. 03-43-54_smolvla_gk_adp_real2_2e-3/checkpoints/real_task03_033000/pretrained_model/policy_postprocessor.json +32 -0
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  15. 03-43-54_smolvla_gk_adp_real2_2e-3/checkpoints/real_task03_033000/pretrained_model/policy_preprocessor.json +93 -0
  16. 03-43-54_smolvla_gk_adp_real2_2e-3/checkpoints/real_task03_033000/pretrained_model/policy_preprocessor_step_5_normalizer_processor.safetensors +3 -0
  17. 03-43-54_smolvla_gk_adp_real2_2e-3/checkpoints/real_task03_033000/pretrained_model/tokenizer/chat_template.jinja +2 -0
  18. 03-43-54_smolvla_gk_adp_real2_2e-3/checkpoints/real_task03_033000/pretrained_model/tokenizer/tokenizer.json +0 -0
  19. 03-43-54_smolvla_gk_adp_real2_2e-3/checkpoints/real_task03_033000/pretrained_model/tokenizer/tokenizer_config.json +27 -0
  20. 03-43-54_smolvla_gk_adp_real2_2e-3/checkpoints/real_task03_033000/pretrained_model/train_config.json +544 -0
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  22. 03-43-54_smolvla_gk_adp_real2_2e-3/checkpoints/real_task03_033000/training_state/optimizer_param_groups.json +775 -0
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  26. 03-43-54_smolvla_gk_adp_real2_2e-3/checkpoints/real_task03_033000/training_state/scheduler_state.json +21 -0
  27. 03-43-54_smolvla_gk_adp_real2_2e-3/checkpoints/real_task03_033000/training_state/sequential_state.json +797 -0
  28. 03-43-54_smolvla_gk_adp_real2_2e-3/checkpoints/real_task03_033000/training_state/training_step.json +12 -0
  29. 03-43-54_smolvla_gk_adp_real2_2e-3/checkpoints/real_task03_034000/pretrained_model/README.md +204 -0
  30. 03-43-54_smolvla_gk_adp_real2_2e-3/checkpoints/real_task03_034000/pretrained_model/adapter_config.json +46 -0
  31. 03-43-54_smolvla_gk_adp_real2_2e-3/checkpoints/real_task03_034000/pretrained_model/adapter_model.safetensors +3 -0
  32. 03-43-54_smolvla_gk_adp_real2_2e-3/checkpoints/real_task03_034000/pretrained_model/config.json +102 -0
  33. 03-43-54_smolvla_gk_adp_real2_2e-3/checkpoints/real_task03_034000/pretrained_model/gk_config.json +861 -0
  34. 03-43-54_smolvla_gk_adp_real2_2e-3/checkpoints/real_task03_034000/pretrained_model/gk_expert_0001/adapter_config.json +46 -0
  35. 03-43-54_smolvla_gk_adp_real2_2e-3/checkpoints/real_task03_034000/pretrained_model/gk_expert_0001/adapter_model.safetensors +3 -0
  36. 03-43-54_smolvla_gk_adp_real2_2e-3/checkpoints/real_task03_034000/pretrained_model/gk_expert_0002/adapter_config.json +46 -0
  37. 03-43-54_smolvla_gk_adp_real2_2e-3/checkpoints/real_task03_034000/pretrained_model/gk_expert_0002/adapter_model.safetensors +3 -0
  38. 03-43-54_smolvla_gk_adp_real2_2e-3/checkpoints/real_task03_034000/pretrained_model/gk_router.safetensors +3 -0
  39. 03-43-54_smolvla_gk_adp_real2_2e-3/checkpoints/real_task03_034000/pretrained_model/policy_postprocessor.json +32 -0
  40. 03-43-54_smolvla_gk_adp_real2_2e-3/checkpoints/real_task03_034000/pretrained_model/policy_postprocessor_step_0_unnormalizer_processor.safetensors +3 -0
  41. 03-43-54_smolvla_gk_adp_real2_2e-3/checkpoints/real_task03_034000/pretrained_model/policy_preprocessor.json +93 -0
  42. 03-43-54_smolvla_gk_adp_real2_2e-3/checkpoints/real_task03_034000/pretrained_model/policy_preprocessor_step_5_normalizer_processor.safetensors +3 -0
  43. 03-43-54_smolvla_gk_adp_real2_2e-3/checkpoints/real_task03_034000/pretrained_model/tokenizer/chat_template.jinja +2 -0
  44. 03-43-54_smolvla_gk_adp_real2_2e-3/checkpoints/real_task03_034000/pretrained_model/tokenizer/tokenizer.json +0 -0
  45. 03-43-54_smolvla_gk_adp_real2_2e-3/checkpoints/real_task03_034000/pretrained_model/tokenizer/tokenizer_config.json +27 -0
  46. 03-43-54_smolvla_gk_adp_real2_2e-3/checkpoints/real_task03_034000/pretrained_model/train_config.json +544 -0
  47. 03-43-54_smolvla_gk_adp_real2_2e-3/checkpoints/real_task03_034000/training_state/checkpoint_complete.json +3 -0
  48. 03-43-54_smolvla_gk_adp_real2_2e-3/checkpoints/real_task03_034000/training_state/optimizer_param_groups.json +775 -0
  49. 03-43-54_smolvla_gk_adp_real2_2e-3/checkpoints/real_task03_034000/training_state/optimizer_state.safetensors +3 -0
  50. 03-43-54_smolvla_gk_adp_real2_2e-3/checkpoints/real_task03_034000/training_state/rng_state.safetensors +3 -0
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+ ---
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+ library_name: peft
3
+ tags:
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+ - base_model:adapter:lerobot/smolvla_base
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+ - lora
6
+ ---
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+
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+ # Model Card for Model ID
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+ <!-- Provide a quick summary of what the model is/does. -->
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+ ## Model Details
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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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+ ## How to Get Started with the Model
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+ Use the code below to get started with the model.
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+ [More Information Needed]
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+ ## Training Details
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+ ### Training Procedure
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+ #### Preprocessing [optional]
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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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+ <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
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+ ## Evaluation
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+ <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
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+ #### Metrics
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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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+ 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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+ ## Technical Specifications [optional]
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+ ### Model Architecture and Objective
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+ ### Compute Infrastructure
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+ ## Glossary [optional]
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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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+ [More Information Needed]
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+ ## More Information [optional]
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+ ## Model Card Contact
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+ ### Framework versions
203
+
204
+ - PEFT 0.21.0
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03-43-54_smolvla_gk_adp_real2_2e-3/checkpoints/real_task03_034000/pretrained_model/README.md ADDED
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1
+ ---
2
+ library_name: peft
3
+ tags:
4
+ - base_model:adapter:lerobot/smolvla_base
5
+ - lora
6
+ ---
7
+
8
+ # 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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+ ## Model Details
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+ ### Model Description
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+ <!-- Provide a longer summary of what this model is. -->
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+ - **Developed by:** [More Information Needed]
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+
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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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+ ### Direct Use
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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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+ [More Information Needed]
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+ <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
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+ [More Information Needed]
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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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+ Use the code below to get started with the model.
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+ [More Information Needed]
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+
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+ ## Training Details
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+ ### Training Data
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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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+ [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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+ [More Information Needed]
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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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100
+
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+ <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
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+ [More Information Needed]
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+
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+ ## Evaluation
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+ <!-- This section describes the evaluation protocols and provides the results. -->
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+ ### Testing Data, Factors & Metrics
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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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+ [More Information Needed]
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+ #### Metrics
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+ <!-- These are the evaluation metrics being used, ideally with a description of why. -->
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+ #### Summary
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+
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+ ## Model Examination [optional]
138
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+ <!-- Relevant interpretability work for the model goes here -->
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+ ## Environmental Impact
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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).
148
+
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+ - **Hardware Type:** [More Information Needed]
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+
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+ ## Technical Specifications [optional]
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+ ### Model Architecture and Objective
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+ ### Compute Infrastructure
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+ #### Hardware
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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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+ ## Glossary [optional]
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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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+ [More Information Needed]
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+ ## More Information [optional]
192
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+ ## Model Card Authors [optional]
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198
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+ ## Model Card Contact
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+ [More Information Needed]
202
+ ### Framework versions
203
+
204
+ - PEFT 0.21.0
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