added timings

README.md

@@ -4,4 +4,31 @@
 - [x] Get `torch.export` pipeline working
 - [ ] Call `model.so` successfully in cpp-land
 
+### (Preliminary) Training time comparision with e3nn-jax on RTX A5500
 
+TODO: Need to test out on bigger datasets/models. The throuhgput is roughly the same but there might be some initialization differences that make JAX converge faster.
+
+- e3nn + Torch 2
+
+```bash
+compiling...
+W0815 01:47:51.930000 140183613732416 torch/fx/experimental/symbolic_shapes.py:4449] [0/0] xindex is not in var_ranges, defaulting to unknown range.
+initial accuracy = 25%
+compilation took 203.1s
+training...
+ 66%|██████████████████████████████████████████████████████████████████▋                                  | 132/200 [00:00<00:00, 448.17it/s]
+final accuracy = 100%
+training took 0.3s
+```
+
+- e3nn-jax
+
+```bash
+compiling...
+initial accuracy = 25%
+compilation took 7.1s
+training...
+ 15%|███████████████▎                                                                                      | 30/200 [00:00<00:00, 473.85it/s]
+final accuracy = 100%
+training took 0.1s
+```