WandbCallback
Saves model topology, losses & metrics
WandbCallback( log = "gradients", log_preds = TRUE, log_model = TRUE, log_dataset = FALSE, dataset_name = NULL, valid_dl = NULL, n_preds = 36, seed = 12345, reorder = TRUE )
log |
"gradients" (default), "parameters", "all" or None. Losses & metrics are always logged. |
log_preds |
whether we want to log prediction samples (default to True). |
log_model |
whether we want to log our model (default to True). This also requires SaveModelCallback. |
log_dataset |
Options: - False (default) - True will log folder referenced by learn.dls.path. - a path can be defined explicitly to reference which folder to log. Note: subfolder "models" is always ignored. |
dataset_name |
name of logged dataset (default to folder name). |
valid_dl |
DataLoaders containing items used for prediction samples (default to random items from learn.dls.valid. |
n_preds |
number of logged predictions (default to 36). |
seed |
used for defining random samples. |
reorder |
reorder or not |
None
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