Classification on PoemSentiment (test)
83.27AccuracyCayley-Encoder (GCN)
Evaluation results
| Method | Links | |
|---|---|---|
| Cayley-Encoder (GCN)Base Model=Gemma2-2B2026.03 | 83.27 | |
| Cayley-Encoder (GCN)Base Model=Llama3-8B2026.03 | 79.04 | |
| Set-EncoderBase Model=Gemma2-2B2026.03 | 78.56 | |
| FC-Encoder (GCN)Base Model=Llama3-8B2026.03 | 77.98 | |
| FC-Encoder (GCN)Base Model=Gemma2-2B2026.03 | 77.12 | |
| Set-EncoderBase Model=Llama3-8B2026.03 | 77.02 | |
| Cayley-Encoder (GIN)Base Model=Llama3-8B2026.03 | 76.54 | |
| Cayley-Encoder (GIN)Base Model=Gemma2-2B2026.03 | 76.44 | |
| FC-Encoder (GIN)Base Model=Llama3-8B2026.03 | 75.96 | |
| FC-Encoder (GCN)Base Model=Pythia-410m2026.03 | 75.77 | |
| MLP Last LayerBase Model=Pythia-410m2026.03 | 75 | |
| MLP Last LayerBase Model=Llama3-8B2026.03 | 75 | |
| DWATTBase Model=Llama3-8B2026.03 | 75 | |
| FC-Encoder (GIN)Base Model=Gemma2-2B2026.03 | 74.62 | |
| Set-EncoderBase Model=Pythia-410m2026.03 | 73.37 | |
| MLP Last LayerBase Model=Gemma2-2B2026.03 | 71.63 | |
| DWATTBase Model=Pythia-410m2026.03 | 70.87 | |
| Cayley-Encoder (GIN)Base Model=Pythia-410m2026.03 | 70.87 | |
| FC-Encoder (GIN)Base Model=Pythia-410m2026.03 | 69.9 | |
| Cayley-Encoder (GCN)Base Model=Pythia-410m2026.03 | 69.13 | |
| DWATTBase Model=Gemma2-2B2026.03 | 67.79 | |
| MLP Best LayerBase Model=Pythia-410m2026.03 | 53.94 | |
| Best Single LayerBase Model=Llama3-8B2026.03 | 47.02 | |
| MLP Best LayerBase Model=Gemma2-2B2026.03 | 46.83 | |
| Best Single LayerBase Model=Pythia-410m2026.03 | 45.67 | |
| Best Single LayerBase Model=Gemma2-2B2026.03 | 42.79 | |
| WeightedBase Model=Pythia-410m2026.03 | 42.6 | |
| Last LayerBase Model=Pythia-410m2026.03 | 42.4 | |
| Last LayerBase Model=Llama3-8B2026.03 | 40.96 | |
| WeightedBase Model=Gemma2-2B2026.03 | 39.62 | |
| WeightedBase Model=Llama3-8B2026.03 | 37.79 | |
| Last LayerBase Model=Gemma2-2B2026.03 | 35.67 | |
| MLP Best LayerBase Model=Llama3-8B2026.03 | 35.67 |