Important subset v0.1
Everything is over 5 random seeds
Created on September 22|Last edited on September 22
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Notation
- LM stands for label model (encoder model)
- DM stands for the downstream (end-) model
Held-out test performance
Preds_Test report the standard deviation and mean of the predicted test labels
- c1 means that the computation is over the proba_labels that correspond to class 1 only, i.e. proba_labels[:, 1]
- Random encoder leaves the encoder model (~label model) fixed at random initialization
- Hard_targets means that both LM and DM are trained on the predicted hard labels of the other model
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Training curves as a function of gradient steps
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These prediction diagnostics are for the training set
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