Text Generation
PyTorch
English
ScalarPotentialLMSARFMassLNMultiXi
research
semsimula
conservative-language-model
scalar-potential
lagrangian-mechanics
energy-based-model
physics-informed
splm
multi-channel-xi
tinystories
non-transformer
attention-free
constant-memory-inference
riemannian-geometry
damped-riemannian-geometry
Eval Results (legacy)
| { | |
| "model_type": "ScalarPotentialLMSARFMassLNMultiXi", | |
| "model_family": "semsimula-splm", | |
| "vocab_size": 50257, | |
| "d": 256, | |
| "n_layers": 8, | |
| "v_hidden": 1024, | |
| "v_depth": 3, | |
| "max_len": 1024, | |
| "block_size": 512, | |
| "gamma": 0.30, | |
| "xi_channels": 4, | |
| "xi_alpha_inits": [0.25, 0.5, 0.75, 0.95], | |
| "xi_learnable": true, | |
| "mass_model": "logfreq", | |
| "integrator": "semi_implicit_euler", | |
| "ln_after_step": true, | |
| "total_parameters": 16539911, | |
| "best_val_ppl": 11.51, | |
| "training_steps": 4000, | |
| "dataset": "roneneldan/TinyStories" | |
| } | |