Loss weight ranges too limited for multi-head models

[talmo]

In the GUI, the numeric textbox for adjusting the relative loss weights for the different heads is really not great at the moment.

Issues:

1. It doesn't let you go below 0.01, but usually we want to move in orders of magnitude (e.g., to reweight supervised classification vs confmaps loss). You can get around this by increasing the loss weight of the other heads to get the equivalent weighting, but it's not ideal.
2. Clicking on the up/down arrows should x10/x0.1 the value.
3. You can go negative, which doesn't make any sense for loss scaling.

[github-actions]

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