Fluid Dynamics Prediction on Channel (test)
0.0264MAELLM4Fluid + LoRA
Evaluation results
| Method | Links | ||
|---|---|---|---|
| LLM4Fluid + LoRAType=LLM, Trainable Parameters (MB)=5.0252026.01 | 0.0264 | 0.0016 | |
| LLM4FluidType=LLM, Trainable Parameters (MB)=1.0252026.01 | 0.0266 | 0.0016 | |
| TimeBridgeType=Transformer, Trainable Parameters (MB)=1.7042026.01 | 0.0295 | 0.0022 | |
| Mamba2Type=Mamba, Trainable Parameters (MB)=1.5852026.01 | 0.0303 | 0.0025 | |
| WPMixerType=MLP, Trainable Parameters (MB)=1.5762026.01 | 0.031 | 0.0024 | |
| SOFTSType=MLP, Trainable Parameters (MB)=1.6582026.01 | 0.0313 | 0.0026 | |
| ConvTimeNetType=CNN, Trainable Parameters (MB)=1.6872026.01 | 0.0315 | 0.0038 | |
| CrossLinearType=MLP, Trainable Parameters (MB)=1.7092026.01 | 0.0412 | 0.0049 | |
| TimeMixerType=MLP, Trainable Parameters (MB)=1.7172026.01 | 0.0453 | 0.0058 | |
| TimeKANType=KAN, Trainable Parameters (MB)=1.7782026.01 | 0.0462 | 0.006 | |
| TimeXerType=Transformer, Trainable Parameters (MB)=1.612026.01 | 0.0477 | 0.0067 | |
| CASAType=Transformer, Trainable Parameters (MB)=1.9112026.01 | 0.0486 | 0.007 | |
| xLSTMType=RNN, Trainable Parameters (MB)=1.5922026.01 | 0.0489 | 0.005 | |
| LSTMType=RNN, Trainable Parameters (MB)=1.3772026.01 | 0.0494 | 0.0068 | |
| FilterTSType=MLP, Trainable Parameters (MB)=1.6912026.01 | 0.0702 | 0.0157 | |
| Time-LLMType=LLM, Trainable Parameters (MB)=2.7082026.01 | 0.0835 | 0.0214 | |
| GPT4TSType=LLM, Trainable Parameters (MB)=3.4572026.01 | 0.1033 | 0.0333 | |
| MambaType=Mamba, Trainable Parameters (MB)=1.5592026.01 | 0.1147 | 0.0287 | |
| HDMixerType=MLP, Trainable Parameters (MB)=1.6272026.01 | 0.1207 | 0.0588 | |
| iTransformerType=Transformer, Trainable Parameters (MB)=1.552026.01 | 0.4944 | 0.4966 |