Model card: checkpoint table
Browse files
README.md
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@@ -44,6 +44,7 @@ One folder per finished run: `model.safetensors` (EMA weights), `config.json` (m
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| `B_arms/` | EG-SWM, size B | B | 60000 | 22.43 | 0.152 | 118 | 0.78 |
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| `S_arms_seed1/` | S_arms_seed1 | S | 60000 | 21.99 | 0.164 | 188 | 0.66 |
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| `S_global_seed1/` | S_global_seed1 | S | 60000 | 22.46 | 0.155 | 177 | 0.15 |
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Checkpoints for the kinematic benchmarks: SurgVU models adapted to a dataset without its kinematics (E2, frozen for the linear probes), and models conditioned on the robot kinematics (`kin`, E3). Metrics on the test episodes of their own dataset.
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| `B_arms/` | EG-SWM, size B | B | 60000 | 22.43 | 0.152 | 118 | 0.78 |
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| `S_arms_seed1/` | S_arms_seed1 | S | 60000 | 21.99 | 0.164 | 188 | 0.66 |
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| `S_global_seed1/` | S_global_seed1 | S | 60000 | 22.46 | 0.155 | 177 | 0.15 |
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| `S_slots_seed1/` | S_slots_seed1 | S | 60000 | 22.76 | 0.149 | 170 | 0.03 |
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Checkpoints for the kinematic benchmarks: SurgVU models adapted to a dataset without its kinematics (E2, frozen for the linear probes), and models conditioned on the robot kinematics (`kin`, E3). Metrics on the test episodes of their own dataset.
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