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README.md

@@ -10,7 +10,7 @@ See the [LeRobot library](https://github.com/huggingface/lerobot) (particularly
 
 ## Training Details
 
-Trained with [LeRobot@d747195](https://github.com/huggingface/lerobot/tree/d747195c5733c4f68d4bfbe62632d6fc1b605712)
+Trained with [LeRobot@d747195](https://github.com/huggingface/lerobot/tree/d747195c5733c4f68d4bfbe62632d6fc1b605712).
 
 The model was trained using [LeRobot's training script](https://github.com/huggingface/lerobot/blob/d747195c5733c4f68d4bfbe62632d6fc1b605712/lerobot/scripts/train.py) and with the [aloha_sim_transfer_cube_human](https://huggingface.co/datasets/lerobot/aloha_sim_transfer_cube_human/tree/v1.3) dataset.
 
@@ -18,6 +18,8 @@ Here are the [loss](./train_loss.csv) and [evaluation success rate](./eval_pc_su
 
 ![](training_curves.png)
 
+This took about 2.5 hours to train on an Nvida RTX 3090.
+
 ## Evaluation
 
 The model was evaluated on the `AlohaTransferCube` environment from [gym-aloha](https://github.com/huggingface/gym-aloha) and compared to a similar model trained with the original [ACT repository](https://github.com/tonyzhaozh/act). Each episode marks a success if the cube is successfully picked by one robot arm and transferred to the other robot arm.