CLIC new samples with 1M events #181
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jpata
commented
Mar 20, 2023
jpata
commented
- update CLIC sample stats to 1M (TF dataset version to 1.3.0)
erwulff
reviewed
Mar 23, 2023
parameters/clic.yaml
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| dtype: float32 | ||
| trainable: | ||
| classification_loss_type: sigmoid_focal_crossentropy | ||
| lr_schedule: none # cosinedecay, exponentialdecay, onecycle, none | ||
| lr_schedule: onecycle # cosinedecay, exponentialdecay, onecycle, none |
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Using the TF model, I get slightly better results using cosinedecay over onecycle.
| dtype: float16 | ||
| trainable: | ||
| classification_loss_type: sigmoid_focal_crossentropy | ||
| lr_schedule: none # cosinedecay, exponentialdecay, onecycle, none | ||
| lr_schedule: onecycle # cosinedecay, exponentialdecay, onecycle, none |
There was a problem hiding this comment.
Using the TF model, I get slightly better results using cosinedecay over onecycle.
jpata
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Sep 15, 2023
* clic new samples * fix torch_geometric to 2.2.0 avoid issues with dataset abstract method len
jpata
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Sep 15, 2023
* clic new samples * fix torch_geometric to 2.2.0 avoid issues with dataset abstract method len Former-commit-id: e422e35
jpata
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Sep 15, 2023
* clic new samples * fix torch_geometric to 2.2.0 avoid issues with dataset abstract method len Former-commit-id: e422e35
jpata
added a commit
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Sep 25, 2023
* clic new samples * fix torch_geometric to 2.2.0 avoid issues with dataset abstract method len
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