Upload policy weights, train config and readme
Browse files- README.md +1 -1
- config.json +1 -1
- model.safetensors +1 -1
- train_config.json +5 -5
README.md
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@@ -6,8 +6,8 @@ model_name: diffusion
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pipeline_tag: robotics
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tags:
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- robotics
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- diffusion
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- lerobot
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---
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# Model Card for diffusion
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pipeline_tag: robotics
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tags:
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- robotics
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- lerobot
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- diffusion
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---
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# Model Card for diffusion
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config.json
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@@ -41,7 +41,7 @@
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"private": null,
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"tags": null,
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"license": null,
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"pretrained_path": "/project_ghent/lerobot/outputs/train/2026-02-24/13-35-49_b-n150-PREPR-INSTR0/checkpoints/
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"horizon": 16,
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"n_action_steps": 8,
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"normalization_mapping": {
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"private": null,
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"tags": null,
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"license": null,
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"pretrained_path": "/project_ghent/lerobot/outputs/train/2026-02-24/13-35-49_b-n150-PREPR-INSTR0/checkpoints/020000/pretrained_model",
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"horizon": 16,
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"n_action_steps": 8,
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"normalization_mapping": {
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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 368931004
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version https://git-lfs.github.com/spec/v1
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oid sha256:67e6591f60a35e6bc3cc396f83a43db2bdf7679a27278132f1b8ce2d44f1bc8a
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size 368931004
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train_config.json
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@@ -109,7 +109,7 @@
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"private": null,
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"tags": null,
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"license": null,
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-
"pretrained_path": "/project_ghent/lerobot/outputs/train/2026-02-24/13-35-49_b-n150-PREPR-INSTR0/checkpoints/
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"horizon": 16,
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"n_action_steps": 8,
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"normalization_mapping": {
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"seed": 2025,
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"num_workers": 4,
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"batch_size": 32,
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"steps":
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"eval_freq": 0,
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"log_freq": 200,
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"tolerance_s": 0.0001,
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"save_checkpoint":
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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": "adam",
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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": "/project_ghent/lerobot/outputs/train/2026-02-24/13-35-49_b-n150-PREPR-INSTR0/checkpoints/
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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": "/project_ghent/lerobot/outputs/train/2026-02-24/13-35-49_b-n150-PREPR-INSTR0/checkpoints/020000/pretrained_model",
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"horizon": 16,
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"n_action_steps": 8,
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"normalization_mapping": {
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"seed": 2025,
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"num_workers": 4,
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"batch_size": 32,
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"steps": 150000,
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"eval_freq": 0,
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"log_freq": 200,
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"tolerance_s": 0.0001,
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"save_checkpoint": true,
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"save_freq": 80000,
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"use_policy_training_preset": true,
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"optimizer": {
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"type": "adam",
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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": "/project_ghent/lerobot/outputs/train/2026-02-24/13-35-49_b-n150-PREPR-INSTR0/checkpoints/020000"
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}
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