LOCAL_RANK: 0 - CUDA_VISIBLE_DEVICES: [0] ┏━━━┳━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━┳━━━━━━━┳━━━━━━━┓ ┃ ┃ Name ┃ Type ┃ Params ┃ Mode ┃ FLOPs ┃ ┡━━━╇━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━╇━━━━━━━╇━━━━━━━┩ │ 0 │ embedding │ MultiInputVectorEmbed… │ 220 K │ train │ 0 │ │ 1 │ encoder │ JetEncoderWithPairwise │ 332 K │ train │ 0 │ │ 2 │ branch_decoders │ ModuleList │ 4.8 M │ train │ 0 │ │ 3 │ regression_decoder │ RegressionDecoder │ 0 │ train │ 0 │ │ 4 │ classification_decoder │ ClassificationDecoder │ 0 │ train │ 0 │ │ │ other params │ n/a │ 12 │ n/a │ n/a │ └───┴────────────────────────┴────────────────────────┴────────┴───────┴───────┘ Trainable params: 5.3 M Non-trainable params: 50 Total params: 5.3 M Total estimated model params size (MB): 21.374 Modules in train mode: 2326 Modules in eval mode: 0 Total FLOPs: 0 /opt/conda/lib/python3.12/site-packages/pytorch_lightning/utilities/_pytree.py:21: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. /opt/conda/lib/python3.12/site-packages/pytorch_lightning/trainer/connectors/data_connector.py:434: The 'val_dataloader' does not have many workers which may be a bottleneck. Consider increasing the value of the `num_workers` argument` to `num_workers=3` in the `DataLoader` to improve performance. /opt/conda/lib/python3.12/site-packages/pytorch_lightning/utilities/_pytree.py:21: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. /opt/conda/lib/python3.12/site-packages/pytorch_lightning/trainer/connectors/data_connector.py:434: The 'train_dataloader' does not have many workers which may be a bottleneck. Consider increasing the value of the `num_workers` argument` to `num_workers=3` in the `DataLoader` to improve performance. `Trainer.fit` stopped: `max_epochs=100` reached. Epoch 99/99 ━━━━━━━━━━━━━━━━━━━━━ 768/768 0:05:38 • 0:00:00 2.28it/s v_num: v9kf