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Openvla 7b Finetuned Libero Goal

Developed by openvla
This is an OpenVLA 7B vision-language-action model fine-tuned using LoRA technology on the LIBERO-Goal dataset, suitable for the robotics field.
Downloads 746
Release Time : 9/3/2024

Model Overview

This model is obtained by fine-tuning the OpenVLA 7B model with LoRA (r=32) on the LIBERO-Goal dataset from the LIBERO simulation benchmark. It is primarily used for vision-language-action tasks in robotics.

Model Features

LoRA Fine-tuning Technology
Efficient fine-tuning using LoRA (r=32), adapting to specific tasks while maintaining the model's original performance.
Multimodal Capabilities
Combines visual and language processing abilities, suitable for complex robotic interaction scenarios.
Large-scale Training
Trained on 8 A100 GPUs with 80GB memory each, batch size 128, and 60K training gradient steps.

Model Capabilities

Vision-Language Understanding
Robot Action Planning
Multimodal Task Processing
Image-Text Conversion

Use Cases

Robotics
LIBERO Simulation Environment Task Execution
Executing tasks based on visual and language instructions in the LIBERO simulation environment.
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