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I performed Lora fine-tuning according to the parameters provided in the code, but I couldn't get similar results, achieving only 90.6 on libero_spatial.

I encountered a strange problem where the training program automatically stopped and exited when the training reached 1000 steps, and the terminal did not print any errors. The printed information...

May I ask how to use a local dataset for LORA fine-tuning training? I don't seem to see an interface for local datasets in the config file. Is it only...

Hi, thanks for the great work! I'm trying to fine-tune the Pi0 base model on the Droid dataset. I defined a `TrainConfig` as follows: ``` TrainConfig( name="pi0_droid_finetune", model=pi0.Pi0Config( paligemma_variant="gemma_2b_lora", action_expert_variant="gemma_300m_lora",...

Hello, I am using two A100 80GB Gpus to finetune the pi0.5 on the Libero dataset. The training script is: XLA_PYTHON_CLIENT_MEM_FRACTION=0.95 uv run scripts/train.py pi05_libero --exp-name=my_experiment --overwrite --fsdp-devices 2 But...

env: pytorch 2.7.1. cuda 12.8,On a machine with 8 H200 or H100, single-card training to 7 cards training work without problems, but training with 8 cards results in an error....

I use the pytorch to finetune the PI0_base. the config I set shows below: TrainConfig( name="test_pi0", model=pi0_config.Pi0Config(paligemma_variant="gemma_2b_lora", action_expert_variant="gemma_300m_lora"), data=LeRobotR1ProDataConfig( repo_id="test/apple", base_config=DataConfig(prompt_from_task=True), extra_delta_transform=True, ), weight_loader=weight_loaders.CheckpointWeightLoader("gs://openpi-assets/checkpoints/pi0_base/params"), num_train_steps=20_000, freeze_filter=pi0_config.Pi0Config(paligemma_variant="gemma_2b_lora", action_expert_variant="gemma_300m_lora").get_freeze_filter(), ema_decay=None, num_workers=1, batch_size=1,...

I currently have the **lerobot_dataset (v2.1)**, and I would like to perform **pi0 LoRA fine-tuning** using this dataset. My dataset is available at **Ksato5044/lerobot_dataset**. Could you please explain the detailed...

I was training on two graphics cards(RTX3090,24G; RTX3070, 8G) and encountered the following error: .... Loading dataset shards: 100%|████████████████████████████████████████████████████████████████████| 26/26 [00:00