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README.md
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@@ -14,8 +14,6 @@ See the [LeRobot library](https://github.com/huggingface/lerobot) (particularly
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## Training Details
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Trained with [LeRobot@342f429](https://github.com/huggingface/lerobot/tree/342f429f1c321a2b4501c3007b1dacba7244b469).
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The model was trained using this command:
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```bash
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device=cuda
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```
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## Model Size
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<blank>|Number of Parameters
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- Maximum overlap with target (seen as `eval/avg_max_reward` in the charts above). This ranges in [0, 1].
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- Success: whether or not the maximum overlap is at least 95%.
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<blank>|Ours
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Average max. overlap ratio for 500 episodes | 0.887
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Success rate for 500 episodes (%) | 66.0
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## Training Details
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The model was trained using this command:
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```bash
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device=cuda
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```
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This took about 7 hours to train on an Nvida A6000.
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## Model Size
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<blank>|Number of Parameters
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- Maximum overlap with target (seen as `eval/avg_max_reward` in the charts above). This ranges in [0, 1].
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- Success: whether or not the maximum overlap is at least 95%.
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Here are the metrics for 500 episodes worth of evaluation.
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<blank>|Ours
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Average max. overlap ratio for 500 episodes | 0.887
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Success rate for 500 episodes (%) | 66.0
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The results of each of the individual rollouts may be found in [eval_info.json](eval_info.json).
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