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Dexverse-GraspTwoItems-v0 floating_allegro_right: DP image, best step 057250, last step 068700, 20/50 (amp7, 20261101-130737_amp7_grasptwoitems-allegro)

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  1. v0/teleop_lerobot/grasping/Dexverse-GraspTwoItems-v0/floating_allegro_right/README.md +1 -0
  2. v0/teleop_lerobot/grasping/Dexverse-GraspTwoItems-v0/floating_allegro_right/last/config.json +156 -0
  3. v0/teleop_lerobot/grasping/Dexverse-GraspTwoItems-v0/floating_allegro_right/last/model.safetensors +3 -0
  4. v0/teleop_lerobot/grasping/Dexverse-GraspTwoItems-v0/floating_allegro_right/last/policy_postprocessor.json +56 -0
  5. v0/teleop_lerobot/grasping/Dexverse-GraspTwoItems-v0/floating_allegro_right/last/policy_postprocessor_step_0_unnormalizer_processor.safetensors +3 -0
  6. v0/teleop_lerobot/grasping/Dexverse-GraspTwoItems-v0/floating_allegro_right/last/policy_preprocessor.json +130 -0
  7. v0/teleop_lerobot/grasping/Dexverse-GraspTwoItems-v0/floating_allegro_right/last/policy_preprocessor_step_3_normalizer_processor.safetensors +3 -0
  8. v0/teleop_lerobot/grasping/Dexverse-GraspTwoItems-v0/floating_allegro_right/last/train_config.json +283 -0
v0/teleop_lerobot/grasping/Dexverse-GraspTwoItems-v0/floating_allegro_right/README.md CHANGED
@@ -11,6 +11,7 @@ LeRobot 0.4.2 official Diffusion Policy trained on the teleop demos `Dexverse-CS
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  | 명령 | `RID=20261101-130737 NUM_WORKERS=12 run_sets.sh 0 GraspTwoItems:allegro_right` |
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  | seed | 42 |
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  | best 체크포인트 | `best/` = 학습 step 057250 (50 epoch마다 저장한 스냅숏 중 pkl 에피소드 0–9 성공 수가 가장 큰 것, 동률이면 뒤 스냅숏) |
 
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  | **최종 평가** | **20/50 (0.40)** — pkl 에피소드 0–49의 initial_state 복원, DDPM 100 step, 8 step 실행, 최대 3000 step, 시드 없음 |
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  ## 스냅숏 선택 (에피소드 0–9, 10회)
 
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  | 명령 | `RID=20261101-130737 NUM_WORKERS=12 run_sets.sh 0 GraspTwoItems:allegro_right` |
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  | seed | 42 |
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  | best 체크포인트 | `best/` = 학습 step 057250 (50 epoch마다 저장한 스냅숏 중 pkl 에피소드 0–9 성공 수가 가장 큰 것, 동률이면 뒤 스냅숏) |
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+ | last 체크포인트 | `last/` = 최종 step 068700 (300 epoch 끝, 평가 안 함, 재개용) |
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  | **최종 평가** | **20/50 (0.40)** — pkl 에피소드 0–49의 initial_state 복원, DDPM 100 step, 8 step 실행, 최대 3000 step, 시드 없음 |
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  ## 스냅숏 선택 (에피소드 0–9, 10회)
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