Add files using upload-large-folder tool

pi05_libero_10-goal_expert/10000/README.md

@@ -0,0 +1,204 @@
+---
+base_model: ''
+library_name: peft
+tags:
+- lora
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- 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. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+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).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.0

pi05_libero_10-goal_expert/10000/adapter_config.json

@@ -0,0 +1,59 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": {
+    "base_model_class": "PI0Pytorch",
+    "parent_library": "openpi.models_pytorch.pi0_pytorch"
+  },
+  "base_model_name_or_path": null,
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": "gaussian",
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 16,
+  "lora_bias": false,
+  "lora_dropout": 0.0,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "peft_version": "0.18.0",
+  "qalora_group_size": 16,
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "k_proj",
+    "action_in_proj",
+    "gate_proj",
+    "fc2",
+    "action_out_proj",
+    "out_proj",
+    "q_proj",
+    "dense",
+    "linear",
+    "fc1",
+    "lm_head",
+    "up_proj",
+    "o_proj",
+    "v_proj",
+    "time_mlp_in",
+    "time_mlp_out",
+    "down_proj"
+  ],
+  "target_parameters": null,
+  "task_type": null,
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}

pi05_libero_10-goal_expert/10000/adapter_model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6a6ae0b6c0be94049a759c477cfe441be3e58f55c55fde4ce962364363fc76ff
+size 184530792

pi05_libero_10-goal_expert/10000/assets/siamaky1984/libero_10_goal/norm_stats.json

@@ -0,0 +1,84 @@
+{
+  "norm_stats": {
+    "state": {
+      "mean": [
+        -0.061299752444028854,
+        0.027952926233410835,
+        0.9082252383232117,
+        2.8812003135681152,
+        -0.26342737674713135,
+        -0.2030343860387802,
+        0.028251828625798225,
+        -0.02815759740769863
+      ],
+      "std": [
+        0.11390536278486252,
+        0.13541610538959503,
+        0.2466312199831009,
+        0.4301488995552063,
+        1.1631067991256714,
+        0.3640662431716919,
+        0.013924822211265564,
+        0.013823781162500381
+      ],
+      "q01": [
+        -0.41697219900786875,
+        -0.2807768609523773,
+        0.44790006140470506,
+        1.429343864250183,
+        -2.826154812717438,
+        -1.1484866338968276,
+        0.0017788984518731011,
+        -0.04007028463112656
+      ],
+      "q99": [
+        0.14433089576959612,
+        0.30326420623064043,
+        1.272671461856365,
+        3.2851344148635864,
+        2.617177980661392,
+        0.6300894928216936,
+        0.04043443566248752,
+        -0.001727072149794548
+      ]
+    },
+    "actions": {
+      "mean": [
+        0.021617578342556953,
+        0.04869462177157402,
+        -0.08554273843765259,
+        0.0023883564863353968,
+        0.010487395338714123,
+        0.004374061245471239,
+        -0.14242491126060486
+      ],
+      "std": [
+        0.32304540276527405,
+        0.3548697829246521,
+        0.41957226395606995,
+        0.04470940679311752,
+        0.06441005319356918,
+        0.09392016381025314,
+        0.9898056387901306
+      ],
+      "q01": [
+        -0.755625,
+        -0.7691250000000001,
+        -0.9375,
+        -0.1267107917368412,
+        -0.15345000000000003,
+        -0.2540460060596466,
+        -1.0
+      ],
+      "q99": [
+        0.9292500000000001,
+        0.8812500000000001,
+        0.937125,
+        0.1610989294946194,
+        0.20879999999999999,
+        0.3717329999685287,
+        0.9996
+      ]
+    }
+  }
+}

pi05_libero_10-goal_expert/10000/metadata.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e16b6a4f8c259f61cd25183639d2a63c3bb844554e9c130edb627fabe05a20b8
+size 3123

pi05_libero_10-goal_expert/10000/optimizer.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1135fe80f719783b938b88eaa3e6fff28b60cbbf6d1fbc45d12e97d10f6f0e8d
+size 295665275

pi05_libero_goal-object_expert/10000/README.md

@@ -0,0 +1,204 @@
+---
+base_model: ''
+library_name: peft
+tags:
+- lora
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- 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. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+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).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.0

pi05_libero_goal-object_expert/10000/adapter_config.json

@@ -0,0 +1,59 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": {
+    "base_model_class": "PI0Pytorch",
+    "parent_library": "openpi.models_pytorch.pi0_pytorch"
+  },
+  "base_model_name_or_path": null,
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": "gaussian",
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 16,
+  "lora_bias": false,
+  "lora_dropout": 0.0,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "peft_version": "0.18.0",
+  "qalora_group_size": 16,
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "q_proj",
+    "action_out_proj",
+    "dense",
+    "time_mlp_out",
+    "k_proj",
+    "linear",
+    "time_mlp_in",
+    "v_proj",
+    "fc2",
+    "action_in_proj",
+    "down_proj",
+    "fc1",
+    "lm_head",
+    "up_proj",
+    "gate_proj",
+    "o_proj",
+    "out_proj"
+  ],
+  "target_parameters": null,
+  "task_type": null,
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}

pi05_libero_goal-object_expert/10000/adapter_model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2f12b9cb30cd19d56c31e2d20359fe7241cf013690b92e043200d8c623e2c577
+size 184530792

pi05_libero_goal-object_expert/10000/assets/siamaky1984/libero_goal_object/norm_stats.json

@@ -0,0 +1,84 @@
+{
+  "norm_stats": {
+    "state": {
+      "mean": [
+        -0.06026783213019371,
+        0.0015080120647326112,
+        0.5825003981590271,
+        2.9859888553619385,
+        0.014441474340856075,
+        -0.18394054472446442,
+        0.028822435066103935,
+        -0.029155906289815903
+      ],
+      "std": [
+        0.09826016426086426,
+        0.15261392295360565,
+        0.43947911262512207,
+        0.3992636203765869,
+        0.5992255806922913,
+        0.298004150390625,
+        0.012303945608437061,
+        0.012187087908387184
+      ],
+      "q01": [
+        -0.41283377289772033,
+        -0.26386266508698464,
+        0.01084394490160048,
+        1.4018977453231811,
+        -1.3224226501464844,
+        -1.056343131875992,
+        0.0017876381166279315,
+        -0.04024986920878291
+      ],
+      "q99": [
+        0.09018494949340816,
+        0.28468856688737865,
+        1.2630830633023753,
+        3.2548730659484866,
+        2.138997409915924,
+        0.4329104606628418,
+        0.04044317532724235,
+        -0.0019422010646667279
+      ]
+    },
+    "actions": {
+      "mean": [
+        0.050877511501312256,
+        0.09129969030618668,
+        -0.08640459924936295,
+        -0.00012008825433440506,
+        0.014997407793998718,
+        0.0035092229954898357,
+        -0.0707419142127037
+      ],
+      "std": [
+        0.32585129141807556,
+        0.4008775055408478,
+        0.47407400608062744,
+        0.040983859449625015,
+        0.06434706598520279,
+        0.0771528109908104,
+        0.997494637966156
+      ],
+      "q01": [
+        -0.747375,
+        -0.84675,
+        -0.9375,
+        -0.12769307747483252,
+        -0.13620000000000002,
+        -0.15111620575785636,
+        -1.0
+      ],
+      "q99": [
+        0.937125,
+        0.883875,
+        0.937125,
+        0.1412076433002949,
+        0.2195999999999999,
+        0.3640187144637107,
+        0.9996
+      ]
+    }
+  }
+}

pi05_libero_goal-object_expert/10000/metadata.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:389259fc4f5dc8af690e94b4e866b01e464464f38ab6b8c0bf4f882d9cbb7a0e
+size 3123

pi05_libero_goal-object_expert/10000/optimizer.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:790bc066e5adbe6fb95c0892b8137defab7482c7eb1b3210b61247a5090c83bb
+size 295665275