Instructions to use Grigorij/Domino_sum_lingbot_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LeRobot
How to use Grigorij/Domino_sum_lingbot_2 with LeRobot:
- Notebooks
- Google Colab
- Kaggle
Upload policy weights, train config and readme
Browse files- README.md +2 -2
- adapter_model.safetensors +1 -1
- config.json +1 -1
- train_config.json +6 -6
README.md
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@@ -5,9 +5,9 @@ license: apache-2.0
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model_name: lingbot_va
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pipeline_tag: robotics
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tags:
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-
- lerobot
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- robotics
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- lingbot_va
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---
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# Model Card for lingbot_va
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| Setting | Value |
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| --- | --- |
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-
| Training steps |
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| Batch size | 1 |
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| Optimizer | adamw |
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| Learning rate | 1e-05 |
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model_name: lingbot_va
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pipeline_tag: robotics
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tags:
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- robotics
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- lingbot_va
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- lerobot
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---
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# Model Card for lingbot_va
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| Setting | Value |
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| --- | --- |
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| Training steps | 40000 |
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| Batch size | 1 |
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| Optimizer | adamw |
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| Learning rate | 1e-05 |
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adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size 47218168
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version https://git-lfs.github.com/spec/v1
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oid sha256:244405ebf8dfd4017e35c3bddf7bb6912cb4efa84a61bb55574e9d1ddf985814
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size 47218168
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config.json
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@@ -35,7 +35,7 @@
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"private": null,
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"tags": null,
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"license": null,
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-
"pretrained_path": "
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"pretrained_revision": null,
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"patch_size": [
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1,
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"private": null,
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"tags": null,
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"license": null,
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"pretrained_path": "/workspace/outputs/train/2026-08-18/06-55-42_lingbot_va/checkpoints/015000/pretrained_model",
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"pretrained_revision": null,
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"patch_size": [
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1,
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train_config.json
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@@ -121,7 +121,7 @@
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"private": null,
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"tags": null,
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"license": null,
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-
"pretrained_path": "
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"pretrained_revision": null,
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"patch_size": [
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1,
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"reward_model": null,
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"output_dir": "outputs/train/2026-08-18/06-55-42_lingbot_va",
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"job_name": "lingbot_va",
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"resume":
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"seed": 1000,
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"cudnn_deterministic": false,
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"num_workers": 4,
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"prefetch_factor": 4,
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"persistent_workers": true,
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"dataloader_multiprocessing_context": "spawn",
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-
"steps":
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"env_eval_freq": 20000,
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"log_freq": 200,
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"eval_steps": 0,
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"max_eval_samples": 0,
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"tolerance_s": 0.0001,
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"save_checkpoint": true,
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-
"save_freq":
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"use_policy_training_preset": true,
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"optimizer": {
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"type": "adamw",
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"detach": false,
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"tags": []
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},
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"save_checkpoint_to_hub":
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"sample_weighting": null,
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"rename_map": {
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"observation.images.front": "observation.images.image",
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"observation.images.arm": "observation.images.image2"
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},
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"checkpoint_path":
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}
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"private": null,
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"tags": null,
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"license": null,
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"pretrained_path": "/workspace/outputs/train/2026-08-18/06-55-42_lingbot_va/checkpoints/015000/pretrained_model",
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"pretrained_revision": null,
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"patch_size": [
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1,
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"reward_model": null,
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"output_dir": "outputs/train/2026-08-18/06-55-42_lingbot_va",
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"job_name": "lingbot_va",
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"resume": true,
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"seed": 1000,
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"cudnn_deterministic": false,
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"num_workers": 4,
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"prefetch_factor": 4,
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"persistent_workers": true,
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"dataloader_multiprocessing_context": "spawn",
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"steps": 40000,
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"env_eval_freq": 20000,
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"log_freq": 200,
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"eval_steps": 0,
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"max_eval_samples": 0,
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"tolerance_s": 0.0001,
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"save_checkpoint": true,
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"save_freq": 10000,
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"use_policy_training_preset": true,
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"optimizer": {
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"type": "adamw",
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"detach": false,
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"tags": []
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},
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"save_checkpoint_to_hub": true,
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"sample_weighting": null,
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"rename_map": {
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"observation.images.front": "observation.images.image",
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"observation.images.arm": "observation.images.image2"
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},
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"checkpoint_path": "/workspace/outputs/train/2026-08-18/06-55-42_lingbot_va/checkpoints/015000"
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}
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