The Well
is a 15TB dataset collection of physics simulations. This model is part of the models that have been benchmarked on the Well.
The models have been trained for a fixed time of 12 hours or up to 500 epochs, whichever happens first. The training was performed on a NVIDIA H100 96GB GPU.
In the time dimension, the context length was set to 4. The batch size was set to maximize the memory usage. We experiment with 5 different learning rates for each model on each dataset.
We use the model performing best on the validation set to report test set results.
The reported results are here to provide a simple baseline.
They should not be considered as state-of-the-art
. We hope that the community will build upon these results to develop better architectures for PDE surrogate modeling.
To load the TFNO model trained on the
active_matter
of the Well, use the following commands.
from the_well.benchmark.models import TFNO
model = TFNO.from_pretrained("polymathic-ai/TFNO-active_matter")
Runs of polymathic-ai TFNO-active_matter on huggingface.co
100
Total runs
-33
24-hour runs
-24
3-day runs
-20
7-day runs
-320
30-day runs
More Information About TFNO-active_matter huggingface.co Model
TFNO-active_matter huggingface.co
TFNO-active_matter huggingface.co is an AI model on huggingface.co that provides TFNO-active_matter's model effect (), which can be used instantly with this polymathic-ai TFNO-active_matter model. huggingface.co supports a free trial of the TFNO-active_matter model, and also provides paid use of the TFNO-active_matter. Support call TFNO-active_matter model through api, including Node.js, Python, http.
TFNO-active_matter huggingface.co is an online trial and call api platform, which integrates TFNO-active_matter's modeling effects, including api services, and provides a free online trial of TFNO-active_matter, you can try TFNO-active_matter online for free by clicking the link below.
polymathic-ai TFNO-active_matter online free url in huggingface.co:
TFNO-active_matter is an open source model from GitHub that offers a free installation service, and any user can find TFNO-active_matter on GitHub to install. At the same time, huggingface.co provides the effect of TFNO-active_matter install, users can directly use TFNO-active_matter installed effect in huggingface.co for debugging and trial. It also supports api for free installation.