Instructions to use Grigorij/Tello_multifruit_sum_lingbot with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LeRobot
How to use Grigorij/Tello_multifruit_sum_lingbot with LeRobot:
- Notebooks
- Google Colab
- Kaggle
checkpoint 010000
Browse files- checkpoints/010000/pretrained_model/README.md +204 -0
- checkpoints/010000/pretrained_model/adapter_config.json +48 -0
- checkpoints/010000/pretrained_model/adapter_model.safetensors +3 -0
- checkpoints/010000/pretrained_model/config.json +100 -0
- checkpoints/010000/pretrained_model/policy_postprocessor.json +32 -0
- checkpoints/010000/pretrained_model/policy_postprocessor_step_0_unnormalizer_processor.safetensors +3 -0
- checkpoints/010000/pretrained_model/policy_preprocessor.json +60 -0
- checkpoints/010000/pretrained_model/policy_preprocessor_step_2_normalizer_processor.safetensors +3 -0
- checkpoints/010000/pretrained_model/train_config.json +264 -0
- checkpoints/010000/training_state/optimizer_param_groups.json +261 -0
- checkpoints/010000/training_state/optimizer_state.safetensors +3 -0
- checkpoints/010000/training_state/rng_state.safetensors +3 -0
- checkpoints/010000/training_state/scheduler_state.json +15 -0
- checkpoints/010000/training_state/training_step.json +5 -0
checkpoints/010000/pretrained_model/README.md
ADDED
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| 1 |
+
---
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| 2 |
+
library_name: peft
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| 3 |
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tags:
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- base_model:adapter:lerobot/lingbot_va_libero_long
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- lora
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| 6 |
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---
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| 7 |
+
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| 8 |
+
# Model Card for Model ID
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| 9 |
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| 10 |
+
<!-- Provide a quick summary of what the model is/does. -->
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| 11 |
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| 12 |
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| 13 |
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| 14 |
+
## Model Details
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| 15 |
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| 16 |
+
### Model Description
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| 17 |
+
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| 18 |
+
<!-- Provide a longer summary of what this model is. -->
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| 19 |
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| 20 |
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| 21 |
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| 22 |
+
- **Developed by:** [More Information Needed]
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| 23 |
+
- **Funded by [optional]:** [More Information Needed]
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| 24 |
+
- **Shared by [optional]:** [More Information Needed]
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| 25 |
+
- **Model type:** [More Information Needed]
|
| 26 |
+
- **Language(s) (NLP):** [More Information Needed]
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| 27 |
+
- **License:** [More Information Needed]
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| 28 |
+
- **Finetuned from model [optional]:** [More Information Needed]
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| 29 |
+
|
| 30 |
+
### Model Sources [optional]
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| 31 |
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| 32 |
+
<!-- Provide the basic links for the model. -->
|
| 33 |
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| 34 |
+
- **Repository:** [More Information Needed]
|
| 35 |
+
- **Paper [optional]:** [More Information Needed]
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| 36 |
+
- **Demo [optional]:** [More Information Needed]
|
| 37 |
+
|
| 38 |
+
## Uses
|
| 39 |
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| 40 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 41 |
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|
| 42 |
+
### Direct Use
|
| 43 |
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|
| 44 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 45 |
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|
| 46 |
+
[More Information Needed]
|
| 47 |
+
|
| 48 |
+
### Downstream Use [optional]
|
| 49 |
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|
| 50 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 51 |
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|
| 52 |
+
[More Information Needed]
|
| 53 |
+
|
| 54 |
+
### Out-of-Scope Use
|
| 55 |
+
|
| 56 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 57 |
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|
| 58 |
+
[More Information Needed]
|
| 59 |
+
|
| 60 |
+
## Bias, Risks, and Limitations
|
| 61 |
+
|
| 62 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 63 |
+
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| 64 |
+
[More Information Needed]
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| 65 |
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|
| 66 |
+
### Recommendations
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| 67 |
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| 68 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
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| 69 |
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|
| 70 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 71 |
+
|
| 72 |
+
## How to Get Started with the Model
|
| 73 |
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|
| 74 |
+
Use the code below to get started with the model.
|
| 75 |
+
|
| 76 |
+
[More Information Needed]
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| 77 |
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| 78 |
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## Training Details
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| 79 |
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|
| 80 |
+
### Training Data
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| 81 |
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| 82 |
+
<!-- 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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| 83 |
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| 84 |
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[More Information Needed]
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| 85 |
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|
| 86 |
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### Training Procedure
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| 87 |
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| 88 |
+
<!-- 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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| 89 |
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| 90 |
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#### Preprocessing [optional]
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| 91 |
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| 92 |
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[More Information Needed]
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| 94 |
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| 95 |
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#### Training Hyperparameters
|
| 96 |
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| 97 |
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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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| 99 |
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#### Speeds, Sizes, Times [optional]
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| 100 |
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| 101 |
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<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
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| 102 |
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| 103 |
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[More Information Needed]
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|
| 105 |
+
## Evaluation
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| 106 |
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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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| 110 |
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| 111 |
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#### Testing Data
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| 112 |
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| 113 |
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<!-- This should link to a Dataset Card if possible. -->
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| 114 |
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| 115 |
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[More Information Needed]
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| 116 |
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|
| 117 |
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#### Factors
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| 118 |
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| 119 |
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<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 120 |
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| 121 |
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[More Information Needed]
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| 122 |
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|
| 123 |
+
#### Metrics
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| 124 |
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| 125 |
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<!-- These are the evaluation metrics being used, ideally with a description of why. -->
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[More Information Needed]
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### Results
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| 130 |
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| 131 |
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[More Information Needed]
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| 132 |
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| 133 |
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#### Summary
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| 134 |
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| 136 |
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| 137 |
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## Model Examination [optional]
|
| 138 |
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|
| 139 |
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<!-- Relevant interpretability work for the model goes here -->
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| 140 |
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| 141 |
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[More Information Needed]
|
| 142 |
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|
| 143 |
+
## Environmental Impact
|
| 144 |
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|
| 145 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 146 |
+
|
| 147 |
+
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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| 148 |
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| 149 |
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- **Hardware Type:** [More Information Needed]
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| 150 |
+
- **Hours used:** [More Information Needed]
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| 151 |
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- **Cloud Provider:** [More Information Needed]
|
| 152 |
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- **Compute Region:** [More Information Needed]
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| 153 |
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- **Carbon Emitted:** [More Information Needed]
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| 154 |
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## Technical Specifications [optional]
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| 156 |
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### Model Architecture and Objective
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[More Information Needed]
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### Compute Infrastructure
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| 162 |
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[More Information Needed]
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| 164 |
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| 165 |
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#### Hardware
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| 166 |
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| 167 |
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[More Information Needed]
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| 168 |
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#### Software
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| 170 |
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[More Information Needed]
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| 172 |
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## Citation [optional]
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| 174 |
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| 175 |
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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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| 176 |
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| 177 |
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**BibTeX:**
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| 178 |
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| 179 |
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[More Information Needed]
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| 180 |
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|
| 181 |
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**APA:**
|
| 182 |
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|
| 183 |
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[More Information Needed]
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| 184 |
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|
| 185 |
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## Glossary [optional]
|
| 186 |
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|
| 187 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
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| 188 |
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[More Information Needed]
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| 190 |
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## More Information [optional]
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| 192 |
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| 193 |
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[More Information Needed]
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## Model Card Authors [optional]
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| 196 |
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[More Information Needed]
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| 198 |
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## Model Card Contact
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| 200 |
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| 201 |
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[More Information Needed]
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| 202 |
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### Framework versions
|
| 203 |
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| 204 |
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- PEFT 0.20.0
|
checkpoints/010000/pretrained_model/adapter_config.json
ADDED
|
@@ -0,0 +1,48 @@
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| 1 |
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{
|
| 2 |
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"alora_invocation_tokens": null,
|
| 3 |
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"alpha_pattern": {},
|
| 4 |
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"arrow_config": null,
|
| 5 |
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"auto_mapping": {
|
| 6 |
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"base_model_class": "LingBotVAPolicy",
|
| 7 |
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"parent_library": "lerobot.policies.lingbot_va.modeling_lingbot_va"
|
| 8 |
+
},
|
| 9 |
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"base_model_name_or_path": "lerobot/lingbot_va_libero_long",
|
| 10 |
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"bias": "none",
|
| 11 |
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"corda_config": null,
|
| 12 |
+
"ensure_weight_tying": false,
|
| 13 |
+
"eva_config": null,
|
| 14 |
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"exclude_modules": null,
|
| 15 |
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"fan_in_fan_out": false,
|
| 16 |
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"inference_mode": true,
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| 17 |
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"init_lora_weights": true,
|
| 18 |
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"layer_replication": null,
|
| 19 |
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"layers_pattern": null,
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| 20 |
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"layers_to_transform": null,
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| 21 |
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"loftq_config": {},
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| 22 |
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"lora_alpha": 16,
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| 23 |
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"lora_bias": false,
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| 24 |
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"lora_dropout": 0.0,
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| 25 |
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"lora_ga_config": null,
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| 26 |
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"megatron_config": null,
|
| 27 |
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"megatron_core": "megatron.core",
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| 28 |
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"modules_to_save": null,
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| 29 |
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"monteclora_config": null,
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| 30 |
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"peft_type": "LORA",
|
| 31 |
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"peft_version": "0.20.0",
|
| 32 |
+
"qalora_group_size": 16,
|
| 33 |
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"r": 16,
|
| 34 |
+
"rank_pattern": {},
|
| 35 |
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"revision": null,
|
| 36 |
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"target_modules": [
|
| 37 |
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"to_q",
|
| 38 |
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"to_v"
|
| 39 |
+
],
|
| 40 |
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"target_parameters": null,
|
| 41 |
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"task_type": null,
|
| 42 |
+
"trainable_token_indices": null,
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| 43 |
+
"use_bdlora": null,
|
| 44 |
+
"use_dora": false,
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| 45 |
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"use_qalora": false,
|
| 46 |
+
"use_rslora": false,
|
| 47 |
+
"velora_config": null
|
| 48 |
+
}
|
checkpoints/010000/pretrained_model/adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:2139792b1599c18980e450d34cbab3c2130b5ca361f49f0b390e6a29c2afa817
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| 3 |
+
size 47218168
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checkpoints/010000/pretrained_model/config.json
ADDED
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@@ -0,0 +1,100 @@
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"type": "lingbot_va",
|
| 3 |
+
"n_obs_steps": 1,
|
| 4 |
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"input_features": {
|
| 5 |
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|
| 6 |
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|
| 7 |
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|
| 8 |
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|
| 9 |
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|
| 10 |
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|
| 11 |
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|
| 12 |
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|
| 13 |
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|
| 14 |
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|
| 15 |
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|
| 16 |
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|
| 17 |
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|
| 18 |
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256
|
| 19 |
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|
| 20 |
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|
| 21 |
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|
| 22 |
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|
| 23 |
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|
| 24 |
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|
| 25 |
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|
| 26 |
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|
| 27 |
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|
| 28 |
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|
| 29 |
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|
| 30 |
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|
| 31 |
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|
| 32 |
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|
| 33 |
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|
| 34 |
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|
| 35 |
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|
| 36 |
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|
| 37 |
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|
| 38 |
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|
| 39 |
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|
| 40 |
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|
| 41 |
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|
| 42 |
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| 43 |
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|
| 44 |
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|
| 45 |
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|
| 46 |
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|
| 47 |
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|
| 48 |
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|
| 49 |
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|
| 50 |
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|
| 51 |
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|
| 52 |
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|
| 53 |
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|
| 54 |
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|
| 55 |
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|
| 56 |
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|
| 57 |
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"attn_mode": "flex",
|
| 58 |
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"wan_pretrained_path": "robbyant/lingbot-va-posttrain-libero-long",
|
| 59 |
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"dtype": "bfloat16",
|
| 60 |
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"text_encoder_device": "cpu",
|
| 61 |
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"obs_cam_keys": [
|
| 62 |
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"observation.images.camera_front"
|
| 63 |
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],
|
| 64 |
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|
| 65 |
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|
| 66 |
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|
| 67 |
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|
| 68 |
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|
| 69 |
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|
| 70 |
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|
| 71 |
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|
| 72 |
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|
| 73 |
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|
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|
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|
| 81 |
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|
| 82 |
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|
| 83 |
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|
| 84 |
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|
| 85 |
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|
| 86 |
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|
| 87 |
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|
| 88 |
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|
| 89 |
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|
| 90 |
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|
| 91 |
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|
| 92 |
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|
| 93 |
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|
| 94 |
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|
| 95 |
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|
| 96 |
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|
| 97 |
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|
| 98 |
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|
| 99 |
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"scheduler_warmup_steps": 1000
|
| 100 |
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}
|
checkpoints/010000/pretrained_model/policy_postprocessor.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
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|
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|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"name": "policy_postprocessor",
|
| 3 |
+
"steps": [
|
| 4 |
+
{
|
| 5 |
+
"registry_name": "unnormalizer_processor",
|
| 6 |
+
"config": {
|
| 7 |
+
"eps": 1e-08,
|
| 8 |
+
"features": {
|
| 9 |
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"action": {
|
| 10 |
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"type": "ACTION",
|
| 11 |
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"shape": [
|
| 12 |
+
4
|
| 13 |
+
]
|
| 14 |
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}
|
| 15 |
+
},
|
| 16 |
+
"norm_map": {
|
| 17 |
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"VISUAL": "IDENTITY",
|
| 18 |
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"STATE": "IDENTITY",
|
| 19 |
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"ACTION": "IDENTITY"
|
| 20 |
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}
|
| 21 |
+
},
|
| 22 |
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"state_file": "policy_postprocessor_step_0_unnormalizer_processor.safetensors"
|
| 23 |
+
},
|
| 24 |
+
{
|
| 25 |
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"registry_name": "device_processor",
|
| 26 |
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"config": {
|
| 27 |
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"device": "cpu",
|
| 28 |
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"float_dtype": null
|
| 29 |
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}
|
| 30 |
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}
|
| 31 |
+
]
|
| 32 |
+
}
|
checkpoints/010000/pretrained_model/policy_postprocessor_step_0_unnormalizer_processor.safetensors
ADDED
|
@@ -0,0 +1,3 @@
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| 3 |
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size 6380
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checkpoints/010000/pretrained_model/policy_preprocessor.json
ADDED
|
@@ -0,0 +1,60 @@
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|
|
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|
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|
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|
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|
| 1 |
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{
|
| 2 |
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"name": "policy_preprocessor",
|
| 3 |
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"steps": [
|
| 4 |
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{
|
| 5 |
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"registry_name": "rename_observations_processor",
|
| 6 |
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"config": {
|
| 7 |
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"rename_map": {
|
| 8 |
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"observation.images.image": "observation.images.camera_front"
|
| 9 |
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}
|
| 10 |
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}
|
| 11 |
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|
| 12 |
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{
|
| 13 |
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"registry_name": "to_batch_processor",
|
| 14 |
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"config": {}
|
| 15 |
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},
|
| 16 |
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{
|
| 17 |
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"registry_name": "normalizer_processor",
|
| 18 |
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"config": {
|
| 19 |
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"eps": 1e-08,
|
| 20 |
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|
| 21 |
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|
| 22 |
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|
| 23 |
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|
| 24 |
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|
| 25 |
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|
| 26 |
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|
| 27 |
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|
| 28 |
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|
| 29 |
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|
| 30 |
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|
| 31 |
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| 32 |
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|
| 33 |
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|
| 34 |
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|
| 35 |
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|
| 36 |
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| 37 |
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|
| 38 |
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"type": "ACTION",
|
| 39 |
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"shape": [
|
| 40 |
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|
| 41 |
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|
| 42 |
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|
| 43 |
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|
| 44 |
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"norm_map": {
|
| 45 |
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"VISUAL": "IDENTITY",
|
| 46 |
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"STATE": "IDENTITY",
|
| 47 |
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"ACTION": "IDENTITY"
|
| 48 |
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}
|
| 49 |
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},
|
| 50 |
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"state_file": "policy_preprocessor_step_2_normalizer_processor.safetensors"
|
| 51 |
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},
|
| 52 |
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{
|
| 53 |
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"registry_name": "device_processor",
|
| 54 |
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"config": {
|
| 55 |
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|
| 56 |
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|
| 57 |
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|
| 58 |
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|
| 59 |
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|
| 60 |
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|
checkpoints/010000/pretrained_model/policy_preprocessor_step_2_normalizer_processor.safetensors
ADDED
|
@@ -0,0 +1,3 @@
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|
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|
|
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| 1 |
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version https://git-lfs.github.com/spec/v1
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|
| 3 |
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size 6380
|
checkpoints/010000/pretrained_model/train_config.json
ADDED
|
@@ -0,0 +1,264 @@
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|
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|
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|
| 1 |
+
{
|
| 2 |
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"dataset": {
|
| 3 |
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|
| 4 |
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|
| 5 |
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|
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|
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|
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| 28 |
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| 29 |
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|
| 30 |
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|
| 31 |
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| 32 |
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| 33 |
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| 35 |
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| 36 |
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| 37 |
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| 39 |
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|
| 254 |
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|
| 255 |
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|
| 256 |
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|
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|
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|
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|
| 264 |
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|
checkpoints/010000/training_state/optimizer_param_groups.json
ADDED
|
@@ -0,0 +1,261 @@
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| 1 |
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[
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|
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|
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| 52 |
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|
| 53 |
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|
| 54 |
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|
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| 59 |
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|
| 61 |
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| 65 |
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|
| 66 |
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| 67 |
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|
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|
| 69 |
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|
| 70 |
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|
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| 72 |
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|
| 73 |
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|
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|
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|
| 77 |
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58,
|
| 78 |
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| 259 |
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|
| 260 |
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|
| 261 |
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]
|
checkpoints/010000/training_state/optimizer_state.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:7696c4d49e194bf58c53a484efee51240387ea91c1d2cc5e3198714a7162e083
|
| 3 |
+
size 94434712
|
checkpoints/010000/training_state/rng_state.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:647934b55588a1b458e7c31fd2a4d8002f2891b9352a677ddfabf29e751d8bb4
|
| 3 |
+
size 15708
|
checkpoints/010000/training_state/scheduler_state.json
ADDED
|
@@ -0,0 +1,15 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
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{
|
| 2 |
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"base_lrs": [
|
| 3 |
+
1e-05
|
| 4 |
+
],
|
| 5 |
+
"last_epoch": 10000,
|
| 6 |
+
"_step_count": 10001,
|
| 7 |
+
"_is_initial": false,
|
| 8 |
+
"_get_lr_called_within_step": false,
|
| 9 |
+
"_last_lr": [
|
| 10 |
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1e-05
|
| 11 |
+
],
|
| 12 |
+
"lr_lambdas": [
|
| 13 |
+
null
|
| 14 |
+
]
|
| 15 |
+
}
|
checkpoints/010000/training_state/training_step.json
ADDED
|
@@ -0,0 +1,5 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
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"step": 10000,
|
| 3 |
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"num_processes": 1,
|
| 4 |
+
"batch_size": 1
|
| 5 |
+
}
|