Hi @PierreMarza,
I'm running a segmentation task on segpath_epithelial with pre-computed embeddings:
Running dataset: segpath_epithelial
2026-04-13 23:06:52,459 - INFO -
🚀 Experiment Info
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Task : segmentation
Dataset: segpath_epithelial
Model : my_custom_vit_base_model
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Hyper-parameters
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type: frozen
batch_size: 64
num_workers: 40
lr: [0.001, 0.0001, 1e-05]
weight_decay: [0.0, 0.001, 0.0001]
epochs: 200
------------------------------------------------------------
2026-04-13 23:09:00,420 - INFO - Not found already trained best model. Training a model.
on 1 V100 GPUs (32 Gb) and 40 CPUs and have this terrible ETA:
4%|▎ | 7/200 [9:28:22<260:53:27, 4866.36s/it]
How can I speed things up ? Thanks !
Hi @PierreMarza,
I'm running a segmentation task on
segpath_epithelialwith pre-computed embeddings:on 1 V100 GPUs (32 Gb) and 40 CPUs and have this terrible ETA:
How can I speed things up ? Thanks !