EXP_003: Official SmolVLA LoRA Baseline (r=8, alpha=16, steps=15000, lerobot=v0.6.0)
Browse filesThis view is limited to 50 files because it contains too many changes. See raw diff
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checkpoints/003000/pretrained_model/train_config.json
CHANGED
|
@@ -159,7 +159,7 @@
|
|
| 159 |
"optimizer_weight_decay": 1e-10,
|
| 160 |
"optimizer_grad_clip_norm": 10.0,
|
| 161 |
"scheduler_warmup_steps": 300,
|
| 162 |
-
"scheduler_decay_steps":
|
| 163 |
"scheduler_decay_lr": 3e-05,
|
| 164 |
"vlm_model_name": "HuggingFaceTB/SmolVLM2-500M-Video-Instruct",
|
| 165 |
"load_vlm_weights": true,
|
|
@@ -178,7 +178,7 @@
|
|
| 178 |
"compile_mode": "max-autotune"
|
| 179 |
},
|
| 180 |
"reward_model": null,
|
| 181 |
-
"output_dir": "/tmp/
|
| 182 |
"job_name": "parc2026_smolvla_lora",
|
| 183 |
"resume": false,
|
| 184 |
"seed": 42,
|
|
@@ -187,7 +187,7 @@
|
|
| 187 |
"batch_size": 1,
|
| 188 |
"prefetch_factor": 4,
|
| 189 |
"persistent_workers": true,
|
| 190 |
-
"steps":
|
| 191 |
"env_eval_freq": 20000,
|
| 192 |
"log_freq": 100,
|
| 193 |
"eval_steps": 0,
|
|
@@ -210,7 +210,7 @@
|
|
| 210 |
"scheduler": {
|
| 211 |
"type": "cosine_decay_with_warmup",
|
| 212 |
"num_warmup_steps": 300,
|
| 213 |
-
"num_decay_steps":
|
| 214 |
"peak_lr": 0.0001,
|
| 215 |
"decay_lr": 3e-05
|
| 216 |
},
|
|
@@ -227,8 +227,8 @@
|
|
| 227 |
"disable_artifact": false,
|
| 228 |
"project": "PARC2026",
|
| 229 |
"entity": null,
|
| 230 |
-
"notes": "EXP_003 SmolVLA LoRA r=8 alpha=16 steps=
|
| 231 |
-
"run_id": "
|
| 232 |
"mode": null,
|
| 233 |
"add_tags": true
|
| 234 |
},
|
|
|
|
| 159 |
"optimizer_weight_decay": 1e-10,
|
| 160 |
"optimizer_grad_clip_norm": 10.0,
|
| 161 |
"scheduler_warmup_steps": 300,
|
| 162 |
+
"scheduler_decay_steps": 15000,
|
| 163 |
"scheduler_decay_lr": 3e-05,
|
| 164 |
"vlm_model_name": "HuggingFaceTB/SmolVLM2-500M-Video-Instruct",
|
| 165 |
"load_vlm_weights": true,
|
|
|
|
| 178 |
"compile_mode": "max-autotune"
|
| 179 |
},
|
| 180 |
"reward_model": null,
|
| 181 |
+
"output_dir": "/tmp/official_smolvla_output_1786261973",
|
| 182 |
"job_name": "parc2026_smolvla_lora",
|
| 183 |
"resume": false,
|
| 184 |
"seed": 42,
|
|
|
|
| 187 |
"batch_size": 1,
|
| 188 |
"prefetch_factor": 4,
|
| 189 |
"persistent_workers": true,
|
| 190 |
+
"steps": 15000,
|
| 191 |
"env_eval_freq": 20000,
|
| 192 |
"log_freq": 100,
|
| 193 |
"eval_steps": 0,
|
|
|
|
| 210 |
"scheduler": {
|
| 211 |
"type": "cosine_decay_with_warmup",
|
| 212 |
"num_warmup_steps": 300,
|
| 213 |
+
"num_decay_steps": 15000,
|
| 214 |
"peak_lr": 0.0001,
|
| 215 |
"decay_lr": 3e-05
|
| 216 |
},
|
|
|
|
| 227 |
"disable_artifact": false,
|
| 228 |
"project": "PARC2026",
|
| 229 |
"entity": null,
|
| 230 |
+
"notes": "EXP_003 SmolVLA LoRA r=8 alpha=16 steps=15000",
|
| 231 |
+
"run_id": "t1hbhznt",
|
| 232 |
"mode": null,
|
| 233 |
"add_tags": true
|
| 234 |
},
|
checkpoints/003000/training_state/optimizer_param_groups.json
CHANGED
|
@@ -1,6 +1,6 @@
|
|
| 1 |
[
|
| 2 |
{
|
| 3 |
-
"lr":
|
| 4 |
"betas": [
|
| 5 |
0.9,
|
| 6 |
0.95
|
|
|
|
| 1 |
[
|
| 2 |
{
|
| 3 |
+
"lr": 9.331559480312315e-05,
|
| 4 |
"betas": [
|
| 5 |
0.9,
|
| 6 |
0.95
|
checkpoints/003000/training_state/optimizer_state.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 2989272
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d0d42b62da6a0b3d01b6afa7843eb766944d90278b0d9813e2185da4c6b0694d
|
| 3 |
size 2989272
|
checkpoints/003000/training_state/scheduler_state.json
CHANGED
|
@@ -7,7 +7,7 @@
|
|
| 7 |
"_is_initial": false,
|
| 8 |
"_get_lr_called_within_step": false,
|
| 9 |
"_last_lr": [
|
| 10 |
-
|
| 11 |
],
|
| 12 |
"lr_lambdas": [
|
| 13 |
null
|
|
|
|
| 7 |
"_is_initial": false,
|
| 8 |
"_get_lr_called_within_step": false,
|
| 9 |
"_last_lr": [
|
| 10 |
+
9.331559480312315e-05
|
| 11 |
],
|
| 12 |
"lr_lambdas": [
|
| 13 |
null
|
checkpoints/004000/pretrained_model/README.md
ADDED
|
@@ -0,0 +1,204 @@
|
|
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|
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|
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|
|
|
|
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|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
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|
|
|
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|
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|
|
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|
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|
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|
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|
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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 |
+
library_name: peft
|
| 3 |
+
tags:
|
| 4 |
+
- base_model:adapter:/root/.cache/huggingface/hub/models--lerobot--smolvla_libero_plus/snapshots/7bb70aa5bc92b82c9239142775d3a173103567ff
|
| 5 |
+
- lora
|
| 6 |
+
---
|
| 7 |
+
|
| 8 |
+
# Model Card for Model ID
|
| 9 |
+
|
| 10 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 11 |
+
|
| 12 |
+
|
| 13 |
+
|
| 14 |
+
## Model Details
|
| 15 |
+
|
| 16 |
+
### Model Description
|
| 17 |
+
|
| 18 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 19 |
+
|
| 20 |
+
|
| 21 |
+
|
| 22 |
+
- **Developed by:** [More Information Needed]
|
| 23 |
+
- **Funded by [optional]:** [More Information Needed]
|
| 24 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 25 |
+
- **Model type:** [More Information Needed]
|
| 26 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 27 |
+
- **License:** [More Information Needed]
|
| 28 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 29 |
+
|
| 30 |
+
### Model Sources [optional]
|
| 31 |
+
|
| 32 |
+
<!-- Provide the basic links for the model. -->
|
| 33 |
+
|
| 34 |
+
- **Repository:** [More Information Needed]
|
| 35 |
+
- **Paper [optional]:** [More Information Needed]
|
| 36 |
+
- **Demo [optional]:** [More Information Needed]
|
| 37 |
+
|
| 38 |
+
## Uses
|
| 39 |
+
|
| 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 |
+
|
| 42 |
+
### Direct Use
|
| 43 |
+
|
| 44 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 45 |
+
|
| 46 |
+
[More Information Needed]
|
| 47 |
+
|
| 48 |
+
### Downstream Use [optional]
|
| 49 |
+
|
| 50 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 51 |
+
|
| 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 |
+
|
| 58 |
+
[More Information Needed]
|
| 59 |
+
|
| 60 |
+
## Bias, Risks, and Limitations
|
| 61 |
+
|
| 62 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 63 |
+
|
| 64 |
+
[More Information Needed]
|
| 65 |
+
|
| 66 |
+
### Recommendations
|
| 67 |
+
|
| 68 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 69 |
+
|
| 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 |
+
|
| 74 |
+
Use the code below to get started with the model.
|
| 75 |
+
|
| 76 |
+
[More Information Needed]
|
| 77 |
+
|
| 78 |
+
## Training Details
|
| 79 |
+
|
| 80 |
+
### Training Data
|
| 81 |
+
|
| 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. -->
|
| 83 |
+
|
| 84 |
+
[More Information Needed]
|
| 85 |
+
|
| 86 |
+
### Training Procedure
|
| 87 |
+
|
| 88 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 89 |
+
|
| 90 |
+
#### Preprocessing [optional]
|
| 91 |
+
|
| 92 |
+
[More Information Needed]
|
| 93 |
+
|
| 94 |
+
|
| 95 |
+
#### Training Hyperparameters
|
| 96 |
+
|
| 97 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 98 |
+
|
| 99 |
+
#### Speeds, Sizes, Times [optional]
|
| 100 |
+
|
| 101 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 102 |
+
|
| 103 |
+
[More Information Needed]
|
| 104 |
+
|
| 105 |
+
## Evaluation
|
| 106 |
+
|
| 107 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 108 |
+
|
| 109 |
+
### Testing Data, Factors & Metrics
|
| 110 |
+
|
| 111 |
+
#### Testing Data
|
| 112 |
+
|
| 113 |
+
<!-- This should link to a Dataset Card if possible. -->
|
| 114 |
+
|
| 115 |
+
[More Information Needed]
|
| 116 |
+
|
| 117 |
+
#### Factors
|
| 118 |
+
|
| 119 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 120 |
+
|
| 121 |
+
[More Information Needed]
|
| 122 |
+
|
| 123 |
+
#### Metrics
|
| 124 |
+
|
| 125 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 126 |
+
|
| 127 |
+
[More Information Needed]
|
| 128 |
+
|
| 129 |
+
### Results
|
| 130 |
+
|
| 131 |
+
[More Information Needed]
|
| 132 |
+
|
| 133 |
+
#### Summary
|
| 134 |
+
|
| 135 |
+
|
| 136 |
+
|
| 137 |
+
## Model Examination [optional]
|
| 138 |
+
|
| 139 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 140 |
+
|
| 141 |
+
[More Information Needed]
|
| 142 |
+
|
| 143 |
+
## Environmental Impact
|
| 144 |
+
|
| 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).
|
| 148 |
+
|
| 149 |
+
- **Hardware Type:** [More Information Needed]
|
| 150 |
+
- **Hours used:** [More Information Needed]
|
| 151 |
+
- **Cloud Provider:** [More Information Needed]
|
| 152 |
+
- **Compute Region:** [More Information Needed]
|
| 153 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 154 |
+
|
| 155 |
+
## Technical Specifications [optional]
|
| 156 |
+
|
| 157 |
+
### Model Architecture and Objective
|
| 158 |
+
|
| 159 |
+
[More Information Needed]
|
| 160 |
+
|
| 161 |
+
### Compute Infrastructure
|
| 162 |
+
|
| 163 |
+
[More Information Needed]
|
| 164 |
+
|
| 165 |
+
#### Hardware
|
| 166 |
+
|
| 167 |
+
[More Information Needed]
|
| 168 |
+
|
| 169 |
+
#### Software
|
| 170 |
+
|
| 171 |
+
[More Information Needed]
|
| 172 |
+
|
| 173 |
+
## Citation [optional]
|
| 174 |
+
|
| 175 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 176 |
+
|
| 177 |
+
**BibTeX:**
|
| 178 |
+
|
| 179 |
+
[More Information Needed]
|
| 180 |
+
|
| 181 |
+
**APA:**
|
| 182 |
+
|
| 183 |
+
[More Information Needed]
|
| 184 |
+
|
| 185 |
+
## Glossary [optional]
|
| 186 |
+
|
| 187 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 188 |
+
|
| 189 |
+
[More Information Needed]
|
| 190 |
+
|
| 191 |
+
## More Information [optional]
|
| 192 |
+
|
| 193 |
+
[More Information Needed]
|
| 194 |
+
|
| 195 |
+
## Model Card Authors [optional]
|
| 196 |
+
|
| 197 |
+
[More Information Needed]
|
| 198 |
+
|
| 199 |
+
## Model Card Contact
|
| 200 |
+
|
| 201 |
+
[More Information Needed]
|
| 202 |
+
### Framework versions
|
| 203 |
+
|
| 204 |
+
- PEFT 0.20.0
|
checkpoints/004000/pretrained_model/adapter_config.json
ADDED
|
@@ -0,0 +1,45 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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checkpoints/004000/pretrained_model/adapter_model.safetensors
ADDED
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version https://git-lfs.github.com/spec/v1
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size 1496448
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checkpoints/004000/pretrained_model/config.json
ADDED
|
@@ -0,0 +1,94 @@
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| 15 |
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|
| 18 |
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| 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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| 29 |
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| 32 |
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| 34 |
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| 35 |
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| 36 |
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|
| 37 |
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| 39 |
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| 40 |
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| 41 |
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| 94 |
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|
checkpoints/004000/pretrained_model/policy_postprocessor.json
ADDED
|
@@ -0,0 +1,32 @@
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|
| 1 |
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{
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| 2 |
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"name": "policy_postprocessor",
|
| 3 |
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|
| 4 |
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{
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| 5 |
+
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|
| 6 |
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| 7 |
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"eps": 1e-08,
|
| 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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|
| 18 |
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|
| 19 |
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"ACTION": "MEAN_STD"
|
| 20 |
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|
| 21 |
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},
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| 22 |
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"state_file": "policy_postprocessor_step_0_unnormalizer_processor.safetensors"
|
| 23 |
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},
|
| 24 |
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{
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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 |
+
]
|
| 32 |
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}
|
checkpoints/004000/pretrained_model/policy_postprocessor_step_0_unnormalizer_processor.safetensors
ADDED
|
@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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| 3 |
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size 3804
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checkpoints/004000/pretrained_model/policy_preprocessor.json
ADDED
|
@@ -0,0 +1,79 @@
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| 1 |
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{
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| 2 |
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|
| 3 |
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| 4 |
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|
| 5 |
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|
| 6 |
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|
| 7 |
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"rename_map": {}
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| 8 |
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}
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| 9 |
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},
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| 10 |
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{
|
| 11 |
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|
| 12 |
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|
| 13 |
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},
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| 14 |
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{
|
| 15 |
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"registry_name": "smolvla_new_line_processor",
|
| 16 |
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"config": {}
|
| 17 |
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|
| 18 |
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{
|
| 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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"tokenizer_name": "HuggingFaceTB/SmolVLM2-500M-Video-Instruct"
|
| 27 |
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}
|
| 28 |
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},
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| 29 |
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{
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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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}
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| 35 |
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},
|
| 36 |
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{
|
| 37 |
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|
| 38 |
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"config": {
|
| 39 |
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"eps": 1e-08,
|
| 40 |
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"features": {
|
| 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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256,
|
| 46 |
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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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},
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| 57 |
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"observation.state": {
|
| 58 |
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"type": "STATE",
|
| 59 |
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"shape": [
|
| 60 |
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8
|
| 61 |
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|
| 62 |
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},
|
| 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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"norm_map": {
|
| 71 |
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"VISUAL": "IDENTITY",
|
| 72 |
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"STATE": "MEAN_STD",
|
| 73 |
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"ACTION": "MEAN_STD"
|
| 74 |
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}
|
| 75 |
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},
|
| 76 |
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"state_file": "policy_preprocessor_step_5_normalizer_processor.safetensors"
|
| 77 |
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}
|
| 78 |
+
]
|
| 79 |
+
}
|
checkpoints/004000/pretrained_model/policy_preprocessor_step_5_normalizer_processor.safetensors
ADDED
|
@@ -0,0 +1,3 @@
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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 3812
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checkpoints/004000/pretrained_model/train_config.json
ADDED
|
@@ -0,0 +1,254 @@
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|
| 1 |
+
{
|
| 2 |
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|
| 3 |
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| 4 |
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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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|
| 18 |
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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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| 46 |
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| 49 |
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|
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|
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| 54 |
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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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|
| 61 |
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|
| 62 |
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|
| 63 |
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| 64 |
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|
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|
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|
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|
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|
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| 73 |
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| 75 |
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| 76 |
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| 77 |
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|
| 78 |
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|
| 79 |
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|
| 80 |
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|
| 81 |
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|
| 82 |
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|
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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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|
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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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|
| 100 |
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"shape": [
|
| 101 |
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| 102 |
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|
| 103 |
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|
| 104 |
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|
| 105 |
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},
|
| 106 |
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|
| 107 |
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|
| 108 |
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| 109 |
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| 110 |
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| 111 |
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|
| 112 |
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| 114 |
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| 116 |
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| 117 |
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| 118 |
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|
| 119 |
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|
| 120 |
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|
| 121 |
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|
| 122 |
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|
| 123 |
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|
| 124 |
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|
| 125 |
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|
| 126 |
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|
| 127 |
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|
| 128 |
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|
| 129 |
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| 130 |
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|
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|
| 133 |
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|
| 134 |
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|
| 135 |
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"STATE": "MEAN_STD",
|
| 136 |
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|
| 137 |
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|
| 138 |
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|
| 139 |
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|
| 140 |
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|
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|
| 142 |
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|
| 143 |
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],
|
| 144 |
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|
| 145 |
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|
| 146 |
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|
| 147 |
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|
| 148 |
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|
| 149 |
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|
| 150 |
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|
| 151 |
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|
| 152 |
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| 153 |
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|
| 154 |
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"optimizer_betas": [
|
| 155 |
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0.9,
|
| 156 |
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|
| 157 |
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],
|
| 158 |
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"optimizer_eps": 1e-08,
|
| 159 |
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|
| 160 |
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|
| 161 |
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|
| 162 |
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|
| 163 |
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|
| 164 |
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"vlm_model_name": "HuggingFaceTB/SmolVLM2-500M-Video-Instruct",
|
| 165 |
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"load_vlm_weights": true,
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| 166 |
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"attention_mode": "cross_attn",
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| 170 |
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| 179 |
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| 198 |
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| 199 |
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| 200 |
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| 201 |
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| 202 |
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| 203 |
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|
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|
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|
| 207 |
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|
| 208 |
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|
| 209 |
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|
| 210 |
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|
| 211 |
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|
| 212 |
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|
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|
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|
| 215 |
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|
| 216 |
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|
| 217 |
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|
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|
| 223 |
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|
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| 225 |
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| 226 |
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| 227 |
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|
| 228 |
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|
| 229 |
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|
| 230 |
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"notes": "EXP_003 SmolVLA LoRA r=8 alpha=16 steps=15000",
|
| 231 |
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|
| 232 |
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|
| 233 |
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|
| 234 |
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|
| 235 |
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|
| 236 |
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|
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|
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|
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|
| 240 |
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|
| 241 |
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|
| 242 |
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|
| 243 |
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|
| 244 |
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|
| 245 |
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|
| 246 |
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|
| 247 |
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|
| 248 |
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|
| 249 |
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|
| 250 |
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|
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|
| 253 |
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|
| 254 |
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}
|
checkpoints/004000/training_state/optimizer_param_groups.json
ADDED
|
@@ -0,0 +1,595 @@
|
|
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|
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|
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|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
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|
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|
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|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
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|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
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|
|
|
|
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|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
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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 |
+
[
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| 2 |
+
{
|
| 3 |
+
"lr": 8.841957122256004e-05,
|
| 4 |
+
"betas": [
|
| 5 |
+
0.9,
|
| 6 |
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0.95
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| 7 |
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],
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| 8 |
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"eps": 1e-08,
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| 9 |
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"weight_decay": 1e-10,
|
| 10 |
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"amsgrad": false,
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| 11 |
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"maximize": false,
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| 12 |
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"foreach": null,
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| 13 |
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"capturable": false,
|
| 14 |
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"differentiable": false,
|
| 15 |
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"fused": null,
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| 16 |
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"decoupled_weight_decay": true,
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| 17 |
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"initial_lr": 0.0001,
|
| 18 |
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| 19 |
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]
|
| 594 |
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}
|
| 595 |
+
]
|
checkpoints/004000/training_state/optimizer_state.safetensors
ADDED
|
@@ -0,0 +1,3 @@
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| 1 |
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version https://git-lfs.github.com/spec/v1
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| 3 |
+
size 2989272
|
checkpoints/004000/training_state/rng_state.safetensors
ADDED
|
@@ -0,0 +1,3 @@
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|
|
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|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 3 |
+
size 15708
|
checkpoints/004000/training_state/scheduler_state.json
ADDED
|
@@ -0,0 +1,15 @@
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|
|
|
|
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|
|
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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 |
+
"base_lrs": [
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| 3 |
+
0.0001
|
| 4 |
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],
|
| 5 |
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"last_epoch": 4000,
|
| 6 |
+
"_step_count": 4001,
|
| 7 |
+
"_is_initial": false,
|
| 8 |
+
"_get_lr_called_within_step": false,
|
| 9 |
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"_last_lr": [
|
| 10 |
+
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|
| 11 |
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],
|
| 12 |
+
"lr_lambdas": [
|
| 13 |
+
null
|
| 14 |
+
]
|
| 15 |
+
}
|
checkpoints/004000/training_state/training_step.json
ADDED
|
@@ -0,0 +1,5 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"step": 4000,
|
| 3 |
+
"num_processes": 1,
|
| 4 |
+
"batch_size": 1
|
| 5 |
+
}
|
checkpoints/005000/pretrained_model/README.md
ADDED
|
@@ -0,0 +1,204 @@
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|
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|
|
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|
|
|
|
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|
|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
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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 |
+
library_name: peft
|
| 3 |
+
tags:
|
| 4 |
+
- base_model:adapter:/root/.cache/huggingface/hub/models--lerobot--smolvla_libero_plus/snapshots/7bb70aa5bc92b82c9239142775d3a173103567ff
|
| 5 |
+
- lora
|
| 6 |
+
---
|
| 7 |
+
|
| 8 |
+
# Model Card for Model ID
|
| 9 |
+
|
| 10 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 11 |
+
|
| 12 |
+
|
| 13 |
+
|
| 14 |
+
## Model Details
|
| 15 |
+
|
| 16 |
+
### Model Description
|
| 17 |
+
|
| 18 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 19 |
+
|
| 20 |
+
|
| 21 |
+
|
| 22 |
+
- **Developed by:** [More Information Needed]
|
| 23 |
+
- **Funded by [optional]:** [More Information Needed]
|
| 24 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 25 |
+
- **Model type:** [More Information Needed]
|
| 26 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 27 |
+
- **License:** [More Information Needed]
|
| 28 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 29 |
+
|
| 30 |
+
### Model Sources [optional]
|
| 31 |
+
|
| 32 |
+
<!-- Provide the basic links for the model. -->
|
| 33 |
+
|
| 34 |
+
- **Repository:** [More Information Needed]
|
| 35 |
+
- **Paper [optional]:** [More Information Needed]
|
| 36 |
+
- **Demo [optional]:** [More Information Needed]
|
| 37 |
+
|
| 38 |
+
## Uses
|
| 39 |
+
|
| 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 |
+
|
| 42 |
+
### Direct Use
|
| 43 |
+
|
| 44 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 45 |
+
|
| 46 |
+
[More Information Needed]
|
| 47 |
+
|
| 48 |
+
### Downstream Use [optional]
|
| 49 |
+
|
| 50 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 51 |
+
|
| 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 |
+
|
| 58 |
+
[More Information Needed]
|
| 59 |
+
|
| 60 |
+
## Bias, Risks, and Limitations
|
| 61 |
+
|
| 62 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 63 |
+
|
| 64 |
+
[More Information Needed]
|
| 65 |
+
|
| 66 |
+
### Recommendations
|
| 67 |
+
|
| 68 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 69 |
+
|
| 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 |
+
|
| 74 |
+
Use the code below to get started with the model.
|
| 75 |
+
|
| 76 |
+
[More Information Needed]
|
| 77 |
+
|
| 78 |
+
## Training Details
|
| 79 |
+
|
| 80 |
+
### Training Data
|
| 81 |
+
|
| 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. -->
|
| 83 |
+
|
| 84 |
+
[More Information Needed]
|
| 85 |
+
|
| 86 |
+
### Training Procedure
|
| 87 |
+
|
| 88 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 89 |
+
|
| 90 |
+
#### Preprocessing [optional]
|
| 91 |
+
|
| 92 |
+
[More Information Needed]
|
| 93 |
+
|
| 94 |
+
|
| 95 |
+
#### Training Hyperparameters
|
| 96 |
+
|
| 97 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 98 |
+
|
| 99 |
+
#### Speeds, Sizes, Times [optional]
|
| 100 |
+
|
| 101 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 102 |
+
|
| 103 |
+
[More Information Needed]
|
| 104 |
+
|
| 105 |
+
## Evaluation
|
| 106 |
+
|
| 107 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 108 |
+
|
| 109 |
+
### Testing Data, Factors & Metrics
|
| 110 |
+
|
| 111 |
+
#### Testing Data
|
| 112 |
+
|
| 113 |
+
<!-- This should link to a Dataset Card if possible. -->
|
| 114 |
+
|
| 115 |
+
[More Information Needed]
|
| 116 |
+
|
| 117 |
+
#### Factors
|
| 118 |
+
|
| 119 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 120 |
+
|
| 121 |
+
[More Information Needed]
|
| 122 |
+
|
| 123 |
+
#### Metrics
|
| 124 |
+
|
| 125 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 126 |
+
|
| 127 |
+
[More Information Needed]
|
| 128 |
+
|
| 129 |
+
### Results
|
| 130 |
+
|
| 131 |
+
[More Information Needed]
|
| 132 |
+
|
| 133 |
+
#### Summary
|
| 134 |
+
|
| 135 |
+
|
| 136 |
+
|
| 137 |
+
## Model Examination [optional]
|
| 138 |
+
|
| 139 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 140 |
+
|
| 141 |
+
[More Information Needed]
|
| 142 |
+
|
| 143 |
+
## Environmental Impact
|
| 144 |
+
|
| 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).
|
| 148 |
+
|
| 149 |
+
- **Hardware Type:** [More Information Needed]
|
| 150 |
+
- **Hours used:** [More Information Needed]
|
| 151 |
+
- **Cloud Provider:** [More Information Needed]
|
| 152 |
+
- **Compute Region:** [More Information Needed]
|
| 153 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 154 |
+
|
| 155 |
+
## Technical Specifications [optional]
|
| 156 |
+
|
| 157 |
+
### Model Architecture and Objective
|
| 158 |
+
|
| 159 |
+
[More Information Needed]
|
| 160 |
+
|
| 161 |
+
### Compute Infrastructure
|
| 162 |
+
|
| 163 |
+
[More Information Needed]
|
| 164 |
+
|
| 165 |
+
#### Hardware
|
| 166 |
+
|
| 167 |
+
[More Information Needed]
|
| 168 |
+
|
| 169 |
+
#### Software
|
| 170 |
+
|
| 171 |
+
[More Information Needed]
|
| 172 |
+
|
| 173 |
+
## Citation [optional]
|
| 174 |
+
|
| 175 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 176 |
+
|
| 177 |
+
**BibTeX:**
|
| 178 |
+
|
| 179 |
+
[More Information Needed]
|
| 180 |
+
|
| 181 |
+
**APA:**
|
| 182 |
+
|
| 183 |
+
[More Information Needed]
|
| 184 |
+
|
| 185 |
+
## Glossary [optional]
|
| 186 |
+
|
| 187 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 188 |
+
|
| 189 |
+
[More Information Needed]
|
| 190 |
+
|
| 191 |
+
## More Information [optional]
|
| 192 |
+
|
| 193 |
+
[More Information Needed]
|
| 194 |
+
|
| 195 |
+
## Model Card Authors [optional]
|
| 196 |
+
|
| 197 |
+
[More Information Needed]
|
| 198 |
+
|
| 199 |
+
## Model Card Contact
|
| 200 |
+
|
| 201 |
+
[More Information Needed]
|
| 202 |
+
### Framework versions
|
| 203 |
+
|
| 204 |
+
- PEFT 0.20.0
|
checkpoints/005000/pretrained_model/adapter_config.json
ADDED
|
@@ -0,0 +1,45 @@
|
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|
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|
|
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|
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|
|
| 1 |
+
{
|
| 2 |
+
"alora_invocation_tokens": null,
|
| 3 |
+
"alpha_pattern": {},
|
| 4 |
+
"arrow_config": null,
|
| 5 |
+
"auto_mapping": {
|
| 6 |
+
"base_model_class": "SmolVLAPolicy",
|
| 7 |
+
"parent_library": "lerobot.policies.smolvla.modeling_smolvla"
|
| 8 |
+
},
|
| 9 |
+
"base_model_name_or_path": "/root/.cache/huggingface/hub/models--lerobot--smolvla_libero_plus/snapshots/7bb70aa5bc92b82c9239142775d3a173103567ff",
|
| 10 |
+
"bias": "none",
|
| 11 |
+
"corda_config": null,
|
| 12 |
+
"ensure_weight_tying": false,
|
| 13 |
+
"eva_config": null,
|
| 14 |
+
"exclude_modules": null,
|
| 15 |
+
"fan_in_fan_out": false,
|
| 16 |
+
"inference_mode": true,
|
| 17 |
+
"init_lora_weights": true,
|
| 18 |
+
"layer_replication": null,
|
| 19 |
+
"layers_pattern": null,
|
| 20 |
+
"layers_to_transform": null,
|
| 21 |
+
"loftq_config": {},
|
| 22 |
+
"lora_alpha": 16,
|
| 23 |
+
"lora_bias": false,
|
| 24 |
+
"lora_dropout": 0.0,
|
| 25 |
+
"lora_ga_config": null,
|
| 26 |
+
"megatron_config": null,
|
| 27 |
+
"megatron_core": "megatron.core",
|
| 28 |
+
"modules_to_save": [],
|
| 29 |
+
"monteclora_config": null,
|
| 30 |
+
"peft_type": "LORA",
|
| 31 |
+
"peft_version": "0.20.0",
|
| 32 |
+
"qalora_group_size": 16,
|
| 33 |
+
"r": 8,
|
| 34 |
+
"rank_pattern": {},
|
| 35 |
+
"revision": null,
|
| 36 |
+
"target_modules": "(model\\.vlm_with_expert\\.lm_expert\\..*\\.(q|v)_proj|model\\.(state_proj|action_in_proj|action_out_proj|action_time_mlp_in|action_time_mlp_out))",
|
| 37 |
+
"target_parameters": null,
|
| 38 |
+
"task_type": null,
|
| 39 |
+
"trainable_token_indices": null,
|
| 40 |
+
"use_bdlora": null,
|
| 41 |
+
"use_dora": false,
|
| 42 |
+
"use_qalora": false,
|
| 43 |
+
"use_rslora": false,
|
| 44 |
+
"velora_config": null
|
| 45 |
+
}
|
checkpoints/005000/pretrained_model/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:45d11c7977cbe3b98403e3ea2c6f9e72aa38c0db34e3ed54b2738ef4cb5d4c54
|
| 3 |
+
size 1496448
|
checkpoints/005000/pretrained_model/config.json
ADDED
|
@@ -0,0 +1,94 @@
|
|
|
|
|
|
|
|
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|
|
|
|
|
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|
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|
|
|
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|
|
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|
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|
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|
|
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|
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|
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|
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|
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|
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|
|
|
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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 |
+
"type": "smolvla",
|
| 3 |
+
"n_obs_steps": 1,
|
| 4 |
+
"input_features": {
|
| 5 |
+
"observation.images.front": {
|
| 6 |
+
"type": "VISUAL",
|
| 7 |
+
"shape": [
|
| 8 |
+
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|
| 9 |
+
256,
|
| 10 |
+
256
|
| 11 |
+
]
|
| 12 |
+
},
|
| 13 |
+
"observation.images.wrist": {
|
| 14 |
+
"type": "VISUAL",
|
| 15 |
+
"shape": [
|
| 16 |
+
3,
|
| 17 |
+
256,
|
| 18 |
+
256
|
| 19 |
+
]
|
| 20 |
+
},
|
| 21 |
+
"observation.state": {
|
| 22 |
+
"type": "STATE",
|
| 23 |
+
"shape": [
|
| 24 |
+
8
|
| 25 |
+
]
|
| 26 |
+
}
|
| 27 |
+
},
|
| 28 |
+
"output_features": {
|
| 29 |
+
"action": {
|
| 30 |
+
"type": "ACTION",
|
| 31 |
+
"shape": [
|
| 32 |
+
7
|
| 33 |
+
]
|
| 34 |
+
}
|
| 35 |
+
},
|
| 36 |
+
"device": "cuda",
|
| 37 |
+
"use_amp": false,
|
| 38 |
+
"use_peft": true,
|
| 39 |
+
"push_to_hub": false,
|
| 40 |
+
"repo_id": "pepijn223/smolvla_libero_plus",
|
| 41 |
+
"private": null,
|
| 42 |
+
"tags": null,
|
| 43 |
+
"license": null,
|
| 44 |
+
"pretrained_path": "/root/.cache/huggingface/hub/models--lerobot--smolvla_libero_plus/snapshots/7bb70aa5bc92b82c9239142775d3a173103567ff",
|
| 45 |
+
"pretrained_revision": null,
|
| 46 |
+
"chunk_size": 50,
|
| 47 |
+
"n_action_steps": 50,
|
| 48 |
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"normalization_mapping": {
|
| 49 |
+
"VISUAL": "IDENTITY",
|
| 50 |
+
"STATE": "MEAN_STD",
|
| 51 |
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"ACTION": "MEAN_STD"
|
| 52 |
+
},
|
| 53 |
+
"max_state_dim": 32,
|
| 54 |
+
"max_action_dim": 32,
|
| 55 |
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"resize_imgs_with_padding": [
|
| 56 |
+
512,
|
| 57 |
+
512
|
| 58 |
+
],
|
| 59 |
+
"empty_cameras": 0,
|
| 60 |
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"adapt_to_pi_aloha": false,
|
| 61 |
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"use_delta_joint_actions_aloha": false,
|
| 62 |
+
"tokenizer_max_length": 48,
|
| 63 |
+
"num_steps": 10,
|
| 64 |
+
"use_cache": true,
|
| 65 |
+
"freeze_vision_encoder": true,
|
| 66 |
+
"train_expert_only": true,
|
| 67 |
+
"train_state_proj": true,
|
| 68 |
+
"optimizer_lr": 0.0001,
|
| 69 |
+
"optimizer_betas": [
|
| 70 |
+
0.9,
|
| 71 |
+
0.95
|
| 72 |
+
],
|
| 73 |
+
"optimizer_eps": 1e-08,
|
| 74 |
+
"optimizer_weight_decay": 1e-10,
|
| 75 |
+
"optimizer_grad_clip_norm": 10.0,
|
| 76 |
+
"scheduler_warmup_steps": 300,
|
| 77 |
+
"scheduler_decay_steps": 15000,
|
| 78 |
+
"scheduler_decay_lr": 3e-05,
|
| 79 |
+
"vlm_model_name": "HuggingFaceTB/SmolVLM2-500M-Video-Instruct",
|
| 80 |
+
"load_vlm_weights": true,
|
| 81 |
+
"add_image_special_tokens": false,
|
| 82 |
+
"attention_mode": "cross_attn",
|
| 83 |
+
"prefix_length": 0,
|
| 84 |
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"pad_language_to": "max_length",
|
| 85 |
+
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|
| 86 |
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|
| 87 |
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"self_attn_every_n_layers": 2,
|
| 88 |
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"expert_width_multiplier": 0.75,
|
| 89 |
+
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|
| 90 |
+
"max_period": 4.0,
|
| 91 |
+
"rtc_config": null,
|
| 92 |
+
"compile_model": false,
|
| 93 |
+
"compile_mode": "max-autotune"
|
| 94 |
+
}
|
checkpoints/005000/pretrained_model/policy_postprocessor.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
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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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| 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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|
| 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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"registry_name": "device_processor",
|
| 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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|
checkpoints/005000/pretrained_model/policy_postprocessor_step_0_unnormalizer_processor.safetensors
ADDED
|
@@ -0,0 +1,3 @@
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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 3804
|
checkpoints/005000/pretrained_model/policy_preprocessor.json
ADDED
|
@@ -0,0 +1,79 @@
|
|
|
|
|
|
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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 |
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{
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| 2 |
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|
| 3 |
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| 4 |
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|
| 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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|
| 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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"eps": 1e-08,
|
| 40 |
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| 41 |
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|
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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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|
| 58 |
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|
| 59 |
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| 60 |
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| 61 |
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| 62 |
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| 64 |
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| 65 |
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| 70 |
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| 71 |
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| 72 |
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| 76 |
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|
| 77 |
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|
| 78 |
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|
| 79 |
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|
checkpoints/005000/pretrained_model/policy_preprocessor_step_5_normalizer_processor.safetensors
ADDED
|
@@ -0,0 +1,3 @@
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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 3812
|
checkpoints/005000/pretrained_model/train_config.json
ADDED
|
@@ -0,0 +1,254 @@
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| 1 |
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],
|
| 158 |
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"optimizer_eps": 1e-08,
|
| 159 |
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"optimizer_weight_decay": 1e-10,
|
| 160 |
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"optimizer_grad_clip_norm": 10.0,
|
| 161 |
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"scheduler_warmup_steps": 300,
|
| 162 |
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"scheduler_decay_steps": 15000,
|
| 163 |
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"scheduler_decay_lr": 3e-05,
|
| 164 |
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"vlm_model_name": "HuggingFaceTB/SmolVLM2-500M-Video-Instruct",
|
| 165 |
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"load_vlm_weights": true,
|
| 166 |
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|
| 167 |
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"attention_mode": "cross_attn",
|
| 168 |
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|
| 169 |
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| 170 |
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|
| 171 |
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| 172 |
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| 173 |
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| 174 |
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|
| 175 |
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| 176 |
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|
| 177 |
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|
| 178 |
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|
| 179 |
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},
|
| 180 |
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|
| 181 |
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"output_dir": "/tmp/official_smolvla_output_1786261973",
|
| 182 |
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"job_name": "parc2026_smolvla_lora",
|
| 183 |
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|
| 184 |
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|
| 185 |
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|
| 186 |
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|
| 187 |
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|
| 188 |
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|
| 189 |
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|
| 190 |
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"steps": 15000,
|
| 191 |
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|
| 192 |
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|
| 193 |
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|
| 194 |
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|
| 195 |
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|
| 196 |
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|
| 197 |
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"save_freq": 1000,
|
| 198 |
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"use_policy_training_preset": true,
|
| 199 |
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"optimizer": {
|
| 200 |
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"type": "adamw",
|
| 201 |
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"lr": 0.0001,
|
| 202 |
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"weight_decay": 1e-10,
|
| 203 |
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"grad_clip_norm": 10.0,
|
| 204 |
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"betas": [
|
| 205 |
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0.9,
|
| 206 |
+
0.95
|
| 207 |
+
],
|
| 208 |
+
"eps": 1e-08
|
| 209 |
+
},
|
| 210 |
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"scheduler": {
|
| 211 |
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"type": "cosine_decay_with_warmup",
|
| 212 |
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"num_warmup_steps": 300,
|
| 213 |
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"num_decay_steps": 15000,
|
| 214 |
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"peak_lr": 0.0001,
|
| 215 |
+
"decay_lr": 3e-05
|
| 216 |
+
},
|
| 217 |
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"eval": {
|
| 218 |
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"n_episodes": 50,
|
| 219 |
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"batch_size": 11,
|
| 220 |
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"use_async_envs": true,
|
| 221 |
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"recording": false,
|
| 222 |
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"recording_repo_id": null,
|
| 223 |
+
"recording_private": false
|
| 224 |
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},
|
| 225 |
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"wandb": {
|
| 226 |
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"enable": true,
|
| 227 |
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"disable_artifact": false,
|
| 228 |
+
"project": "PARC2026",
|
| 229 |
+
"entity": null,
|
| 230 |
+
"notes": "EXP_003 SmolVLA LoRA r=8 alpha=16 steps=15000",
|
| 231 |
+
"run_id": "t1hbhznt",
|
| 232 |
+
"mode": null,
|
| 233 |
+
"add_tags": true
|
| 234 |
+
},
|
| 235 |
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"peft": {
|
| 236 |
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"target_modules": null,
|
| 237 |
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"full_training_modules": null,
|
| 238 |
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"method_type": "LORA",
|
| 239 |
+
"init_type": null,
|
| 240 |
+
"r": 8,
|
| 241 |
+
"lora_alpha": 16
|
| 242 |
+
},
|
| 243 |
+
"job": {
|
| 244 |
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"target": null,
|
| 245 |
+
"image": "huggingface/lerobot-gpu:latest",
|
| 246 |
+
"timeout": "2d",
|
| 247 |
+
"detach": false,
|
| 248 |
+
"tags": []
|
| 249 |
+
},
|
| 250 |
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"save_checkpoint_to_hub": false,
|
| 251 |
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"sample_weighting": null,
|
| 252 |
+
"rename_map": {},
|
| 253 |
+
"checkpoint_path": null
|
| 254 |
+
}
|
checkpoints/005000/training_state/optimizer_param_groups.json
ADDED
|
@@ -0,0 +1,595 @@
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|
| 1 |
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[
|
| 2 |
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{
|
| 3 |
+
"lr": 8.25e-05,
|
| 4 |
+
"betas": [
|
| 5 |
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0.9,
|
| 6 |
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0.95
|
| 7 |
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],
|
| 8 |
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"eps": 1e-08,
|
| 9 |
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|
| 10 |
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|
| 11 |
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|
| 12 |
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|
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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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"params": [
|
| 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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15,
|
| 35 |
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|
| 36 |
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|
| 37 |
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|
| 38 |
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19,
|
| 39 |
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20,
|
| 40 |
+
21,
|
| 41 |
+
22,
|
| 42 |
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|
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|
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|
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|
| 591 |
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|
| 592 |
+
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|
| 593 |
+
]
|
| 594 |
+
}
|
| 595 |
+
]
|
checkpoints/005000/training_state/optimizer_state.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
|
| 2 |
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oid sha256:a92215486c126ccdb6472ab18ebd0aa38652451e6e16be628a64a2eec7e3a75d
|
| 3 |
+
size 2989272
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checkpoints/005000/training_state/rng_state.safetensors
ADDED
|
@@ -0,0 +1,3 @@
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| 1 |
+
version https://git-lfs.github.com/spec/v1
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oid sha256:f7140fb07df695edaa00a5d4ccb67108ef01636c2c94957327999517cf10ae36
|
| 3 |
+
size 15708
|
checkpoints/005000/training_state/scheduler_state.json
ADDED
|
@@ -0,0 +1,15 @@
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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 |
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"base_lrs": [
|
| 3 |
+
0.0001
|
| 4 |
+
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|
| 5 |
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"last_epoch": 5000,
|
| 6 |
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"_step_count": 5001,
|
| 7 |
+
"_is_initial": false,
|
| 8 |
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"_get_lr_called_within_step": false,
|
| 9 |
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"_last_lr": [
|
| 10 |
+
8.25e-05
|
| 11 |
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],
|
| 12 |
+
"lr_lambdas": [
|
| 13 |
+
null
|
| 14 |
+
]
|
| 15 |
+
}
|
checkpoints/005000/training_state/training_step.json
ADDED
|
@@ -0,0 +1,5 @@
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|
|
|
|
|
|
|
|
|
|
|
|
|
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|
| 1 |
+
{
|
| 2 |
+
"step": 5000,
|
| 3 |
+
"num_processes": 1,
|
| 4 |
+
"batch_size": 1
|
| 5 |
+
}
|
checkpoints/006000/pretrained_model/README.md
ADDED
|
@@ -0,0 +1,204 @@
|
|
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|
|
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|
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|
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|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
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|
|
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|
|
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|
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|
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|
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|
|
|
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|
|
|
|
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|
|
|
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|
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|
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|
|
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|
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|
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|
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|
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|
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|
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|
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|
|
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|
|
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|
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|
|
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|
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|
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|
|
|
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|
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|
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|
|
|
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|
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|
|
|
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|
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|
|
|
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|
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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 |
+
library_name: peft
|
| 3 |
+
tags:
|
| 4 |
+
- base_model:adapter:/root/.cache/huggingface/hub/models--lerobot--smolvla_libero_plus/snapshots/7bb70aa5bc92b82c9239142775d3a173103567ff
|
| 5 |
+
- lora
|
| 6 |
+
---
|
| 7 |
+
|
| 8 |
+
# Model Card for Model ID
|
| 9 |
+
|
| 10 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 11 |
+
|
| 12 |
+
|
| 13 |
+
|
| 14 |
+
## Model Details
|
| 15 |
+
|
| 16 |
+
### Model Description
|
| 17 |
+
|
| 18 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 19 |
+
|
| 20 |
+
|
| 21 |
+
|
| 22 |
+
- **Developed by:** [More Information Needed]
|
| 23 |
+
- **Funded by [optional]:** [More Information Needed]
|
| 24 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 25 |
+
- **Model type:** [More Information Needed]
|
| 26 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 27 |
+
- **License:** [More Information Needed]
|
| 28 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 29 |
+
|
| 30 |
+
### Model Sources [optional]
|
| 31 |
+
|
| 32 |
+
<!-- Provide the basic links for the model. -->
|
| 33 |
+
|
| 34 |
+
- **Repository:** [More Information Needed]
|
| 35 |
+
- **Paper [optional]:** [More Information Needed]
|
| 36 |
+
- **Demo [optional]:** [More Information Needed]
|
| 37 |
+
|
| 38 |
+
## Uses
|
| 39 |
+
|
| 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 |
+
|
| 42 |
+
### Direct Use
|
| 43 |
+
|
| 44 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 45 |
+
|
| 46 |
+
[More Information Needed]
|
| 47 |
+
|
| 48 |
+
### Downstream Use [optional]
|
| 49 |
+
|
| 50 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 51 |
+
|
| 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 |
+
|
| 58 |
+
[More Information Needed]
|
| 59 |
+
|
| 60 |
+
## Bias, Risks, and Limitations
|
| 61 |
+
|
| 62 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 63 |
+
|
| 64 |
+
[More Information Needed]
|
| 65 |
+
|
| 66 |
+
### Recommendations
|
| 67 |
+
|
| 68 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 69 |
+
|
| 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 |
+
|
| 74 |
+
Use the code below to get started with the model.
|
| 75 |
+
|
| 76 |
+
[More Information Needed]
|
| 77 |
+
|
| 78 |
+
## Training Details
|
| 79 |
+
|
| 80 |
+
### Training Data
|
| 81 |
+
|
| 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. -->
|
| 83 |
+
|
| 84 |
+
[More Information Needed]
|
| 85 |
+
|
| 86 |
+
### Training Procedure
|
| 87 |
+
|
| 88 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 89 |
+
|
| 90 |
+
#### Preprocessing [optional]
|
| 91 |
+
|
| 92 |
+
[More Information Needed]
|
| 93 |
+
|
| 94 |
+
|
| 95 |
+
#### Training Hyperparameters
|
| 96 |
+
|
| 97 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 98 |
+
|
| 99 |
+
#### Speeds, Sizes, Times [optional]
|
| 100 |
+
|
| 101 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 102 |
+
|
| 103 |
+
[More Information Needed]
|
| 104 |
+
|
| 105 |
+
## Evaluation
|
| 106 |
+
|
| 107 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 108 |
+
|
| 109 |
+
### Testing Data, Factors & Metrics
|
| 110 |
+
|
| 111 |
+
#### Testing Data
|
| 112 |
+
|
| 113 |
+
<!-- This should link to a Dataset Card if possible. -->
|
| 114 |
+
|
| 115 |
+
[More Information Needed]
|
| 116 |
+
|
| 117 |
+
#### Factors
|
| 118 |
+
|
| 119 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 120 |
+
|
| 121 |
+
[More Information Needed]
|
| 122 |
+
|
| 123 |
+
#### Metrics
|
| 124 |
+
|
| 125 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 126 |
+
|
| 127 |
+
[More Information Needed]
|
| 128 |
+
|
| 129 |
+
### Results
|
| 130 |
+
|
| 131 |
+
[More Information Needed]
|
| 132 |
+
|
| 133 |
+
#### Summary
|
| 134 |
+
|
| 135 |
+
|
| 136 |
+
|
| 137 |
+
## Model Examination [optional]
|
| 138 |
+
|
| 139 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 140 |
+
|
| 141 |
+
[More Information Needed]
|
| 142 |
+
|
| 143 |
+
## Environmental Impact
|
| 144 |
+
|
| 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).
|
| 148 |
+
|
| 149 |
+
- **Hardware Type:** [More Information Needed]
|
| 150 |
+
- **Hours used:** [More Information Needed]
|
| 151 |
+
- **Cloud Provider:** [More Information Needed]
|
| 152 |
+
- **Compute Region:** [More Information Needed]
|
| 153 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 154 |
+
|
| 155 |
+
## Technical Specifications [optional]
|
| 156 |
+
|
| 157 |
+
### Model Architecture and Objective
|
| 158 |
+
|
| 159 |
+
[More Information Needed]
|
| 160 |
+
|
| 161 |
+
### Compute Infrastructure
|
| 162 |
+
|
| 163 |
+
[More Information Needed]
|
| 164 |
+
|
| 165 |
+
#### Hardware
|
| 166 |
+
|
| 167 |
+
[More Information Needed]
|
| 168 |
+
|
| 169 |
+
#### Software
|
| 170 |
+
|
| 171 |
+
[More Information Needed]
|
| 172 |
+
|
| 173 |
+
## Citation [optional]
|
| 174 |
+
|
| 175 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 176 |
+
|
| 177 |
+
**BibTeX:**
|
| 178 |
+
|
| 179 |
+
[More Information Needed]
|
| 180 |
+
|
| 181 |
+
**APA:**
|
| 182 |
+
|
| 183 |
+
[More Information Needed]
|
| 184 |
+
|
| 185 |
+
## Glossary [optional]
|
| 186 |
+
|
| 187 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 188 |
+
|
| 189 |
+
[More Information Needed]
|
| 190 |
+
|
| 191 |
+
## More Information [optional]
|
| 192 |
+
|
| 193 |
+
[More Information Needed]
|
| 194 |
+
|
| 195 |
+
## Model Card Authors [optional]
|
| 196 |
+
|
| 197 |
+
[More Information Needed]
|
| 198 |
+
|
| 199 |
+
## Model Card Contact
|
| 200 |
+
|
| 201 |
+
[More Information Needed]
|
| 202 |
+
### Framework versions
|
| 203 |
+
|
| 204 |
+
- PEFT 0.20.0
|
checkpoints/006000/pretrained_model/adapter_config.json
ADDED
|
@@ -0,0 +1,45 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alora_invocation_tokens": null,
|
| 3 |
+
"alpha_pattern": {},
|
| 4 |
+
"arrow_config": null,
|
| 5 |
+
"auto_mapping": {
|
| 6 |
+
"base_model_class": "SmolVLAPolicy",
|
| 7 |
+
"parent_library": "lerobot.policies.smolvla.modeling_smolvla"
|
| 8 |
+
},
|
| 9 |
+
"base_model_name_or_path": "/root/.cache/huggingface/hub/models--lerobot--smolvla_libero_plus/snapshots/7bb70aa5bc92b82c9239142775d3a173103567ff",
|
| 10 |
+
"bias": "none",
|
| 11 |
+
"corda_config": null,
|
| 12 |
+
"ensure_weight_tying": false,
|
| 13 |
+
"eva_config": null,
|
| 14 |
+
"exclude_modules": null,
|
| 15 |
+
"fan_in_fan_out": false,
|
| 16 |
+
"inference_mode": true,
|
| 17 |
+
"init_lora_weights": true,
|
| 18 |
+
"layer_replication": null,
|
| 19 |
+
"layers_pattern": null,
|
| 20 |
+
"layers_to_transform": null,
|
| 21 |
+
"loftq_config": {},
|
| 22 |
+
"lora_alpha": 16,
|
| 23 |
+
"lora_bias": false,
|
| 24 |
+
"lora_dropout": 0.0,
|
| 25 |
+
"lora_ga_config": null,
|
| 26 |
+
"megatron_config": null,
|
| 27 |
+
"megatron_core": "megatron.core",
|
| 28 |
+
"modules_to_save": [],
|
| 29 |
+
"monteclora_config": null,
|
| 30 |
+
"peft_type": "LORA",
|
| 31 |
+
"peft_version": "0.20.0",
|
| 32 |
+
"qalora_group_size": 16,
|
| 33 |
+
"r": 8,
|
| 34 |
+
"rank_pattern": {},
|
| 35 |
+
"revision": null,
|
| 36 |
+
"target_modules": "(model\\.vlm_with_expert\\.lm_expert\\..*\\.(q|v)_proj|model\\.(state_proj|action_in_proj|action_out_proj|action_time_mlp_in|action_time_mlp_out))",
|
| 37 |
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"target_parameters": null,
|
| 38 |
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"task_type": null,
|
| 39 |
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"trainable_token_indices": null,
|
| 40 |
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"use_bdlora": null,
|
| 41 |
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"use_dora": false,
|
| 42 |
+
"use_qalora": false,
|
| 43 |
+
"use_rslora": false,
|
| 44 |
+
"velora_config": null
|
| 45 |
+
}
|
checkpoints/006000/pretrained_model/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:52e11d8913324185689f37c52c2619607bc119557f3460caaa6bbd869bdc3709
|
| 3 |
+
size 1496448
|