feat: add frozen-weights option to training#327
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This PR adds the option to not train
wduring finetuning. This is useful if the user wants to maintain performance on tasks.Freezing
whas a small but significant negative effect on performance. Ondeskfreezing weights leads to an average loss of .6% macro f1, across 15 datasets. For similarity, however, training with frozen weights seems to improve performance.