Instructions to use SagriviS/Test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LeRobot
How to use SagriviS/Test with LeRobot:
- Notebooks
- Google Colab
- Kaggle
Upload policy weights, train config and readme
Browse files- README.md +2 -2
- config.json +3 -2
- model.safetensors +1 -1
- train_config.json +5 -5
README.md
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@@ -5,9 +5,9 @@ license: apache-2.0
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model_name: act
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pipeline_tag: robotics
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tags:
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- act
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-
- robotics
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- lerobot
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---
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# Model Card for act
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model_name: act
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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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- act
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---
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# Model Card for act
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config.json
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@@ -27,12 +27,13 @@
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},
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"device": "cuda",
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"use_amp": false,
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"push_to_hub": true,
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"repo_id": "SagriviS/Test",
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"private": null,
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"tags": null,
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"license": null,
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-
"pretrained_path": "outputs/train/
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"chunk_size": 100,
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"n_action_steps": 100,
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"normalization_mapping": {
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"n_vae_encoder_layers": 4,
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"temporal_ensemble_coeff": null,
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"dropout": 0.1,
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"kl_weight":
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"optimizer_lr": 1e-05,
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"optimizer_weight_decay": 0.0001,
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"optimizer_lr_backbone": 1e-05
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},
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"device": "cuda",
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"use_amp": false,
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"use_peft": false,
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"push_to_hub": true,
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"repo_id": "SagriviS/Test",
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"private": null,
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"tags": null,
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"license": null,
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"pretrained_path": "outputs/train/Test31/checkpoints/last/pretrained_model",
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"chunk_size": 100,
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"n_action_steps": 100,
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"normalization_mapping": {
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"n_vae_encoder_layers": 4,
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"temporal_ensemble_coeff": null,
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"dropout": 0.1,
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"kl_weight": 5.0,
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"optimizer_lr": 1e-05,
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"optimizer_weight_decay": 0.0001,
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"optimizer_lr_backbone": 1e-05
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model.safetensors
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@@ -1,3 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size 206765304
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version https://git-lfs.github.com/spec/v1
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oid sha256:63a60cd6e9c2d1022d53b4cc5bd812ae947f6b1b9c6d66f316bd05a883b3fb9d
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size 206765304
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train_config.json
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@@ -115,7 +115,7 @@
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"private": null,
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"tags": null,
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"license": null,
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"pretrained_path": "outputs/train/
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"chunk_size": 100,
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"n_action_steps": 100,
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"normalization_mapping": {
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"n_vae_encoder_layers": 4,
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"temporal_ensemble_coeff": null,
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"dropout": 0.1,
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-
"kl_weight":
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"optimizer_lr": 1e-05,
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"optimizer_weight_decay": 0.0001,
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"optimizer_lr_backbone": 1e-05
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},
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"output_dir": "lerobot/outputs/train/
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"job_name": "act",
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"resume": true,
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"seed": 1000,
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"project": "lerobot",
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"entity": null,
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"notes": null,
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"run_id": "
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"mode": null
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},
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"peft": null,
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"rabc_epsilon": 1e-06,
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"rabc_head_mode": "sparse",
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"rename_map": {},
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-
"checkpoint_path": "outputs/train/
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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": "outputs/train/Test31/checkpoints/last/pretrained_model",
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"chunk_size": 100,
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"n_action_steps": 100,
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"normalization_mapping": {
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"n_vae_encoder_layers": 4,
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"temporal_ensemble_coeff": null,
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"dropout": 0.1,
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+
"kl_weight": 5.0,
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"optimizer_lr": 1e-05,
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"optimizer_weight_decay": 0.0001,
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"optimizer_lr_backbone": 1e-05
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},
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"output_dir": "lerobot/outputs/train/Test31",
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"job_name": "act",
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"resume": true,
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"seed": 1000,
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"project": "lerobot",
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"entity": null,
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"notes": null,
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"run_id": "ze80svgl",
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"mode": null
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},
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"peft": null,
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"rabc_epsilon": 1e-06,
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"rabc_head_mode": "sparse",
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"rename_map": {},
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+
"checkpoint_path": "outputs/train/Test31/checkpoints/last"
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}
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