Cleanup, update training curves

README.md

@@ -24,6 +24,7 @@ The model was trained using [LeRobot's training script](https://github.com/huggi
 
 ```bash
 python lerobot/scripts/train.py \
+    --output_dir=outputs/train/diffusion_pusht \
     --policy.type=diffusion \
     --dataset.repo_id=lerobot/pusht \
     --seed=100000 \
@@ -54,7 +55,7 @@ Average max. overlap ratio | 0.955 | 0.957
 Success rate for 500 episodes (%) | 65.4 | 64.2
 
 The results of each of the individual rollouts may be found in [eval_info.json](eval_info.json).
-It was produced with this command:
+It was produced after training with this command:
 ```bash
 python lerobot/scripts/eval.py \
     --policy.path=outputs/train/diffusion_pusht/checkpoints/175000/pretrained_model \

eval_avg_max_reward.csv

@@ -1,21 +0,0 @@
-Step,diffusion_pusht_final - eval/avg_max_reward
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eval_pc_success.csv

@@ -1,21 +0,0 @@
-Step,diffusion_pusht_final - eval/pc_success
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train_loss.csv

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