Comments (2)
Hi, the first language model that we used to build MotionGPTs is LLaMA-13B. However, it shows insufficient performance and low training efficiency. We assume the reason is the limited dataset size compared to the large parameters and language data of LLaMA.
Then, we thus choose T5-770M, a small but common language model, as our final backbone, because many previous vision-language multimodal works, like Unified-IO and BLIP, have chosen T5, this encoder-decoder architecture. It shows a strong power to address multi-modal tasks. In addition, the decoder-only model has the advantage for self-supervised without pair data while we have paired data which this advance is greatly weakened. We are still working on collecting a large motion dataset for larger motion-language models.
We have evaluated MotionGPT on GPT-2 and are working on LLaMA-2+LORA. Please refer to the below.
from motiongpt.
Did you only do fine-tuning, or did you also perform pre-training?
from motiongpt.
Related Issues (20)
- FileNotFoundError: [Errno 2] No such file or directory: 'deps/glove/our_vab_data.npy' HOT 1
- 'MotionGPT' object has no attribute 'codebook_size' HOT 1
- Interpolation key 'lm.default' not found
- demo.py : error in loading a pre-trained model for the demo
- Error loading Pre-trained flan-t5-base HOT 2
- [Training] Stops with an error : The algorithm failed to converge because the input matrix contained non-finite values. HOT 11
- Coordinate space in which joint rotations were calculated with HybrIKJointsToRotmat
- bash prepare/download_smpl_model.sh Execution error HOT 2
- ValueError: Unknown model type , exiting! (I can't Create SMPL meshes) (Solved) HOT 3
- How to reproduce the motion complete result in the teaser video?
- If I only want to evaluate this motionGPT, do I need to build Humanml3D as well HOT 1
- Motion2Text generation always gives something irrelevant
- Question on m2t-motionGPT evaluation metrics HOT 2
- RuntimeError: The expanded size of the tensor (3) must match the existing size (263) at non-singleton dimension 1. Target sizes: [22, 3]. Tensor sizes: [263] HOT 2
- the demo page gives a runtime error HOT 2
- question about the task
- How can I get the 2d joints from the SMPL mesh nptyfile HOT 1
- How to save the VQVAE's weight separately from the whole model? HOT 1
- Training Kit-ML encountered dimension mismatch problem HOT 1
- size mismatch for main.0.weight HOT 1
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from motiongpt.