39 lines
730 B
Markdown
39 lines
730 B
Markdown
## Recommend
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- Use History when adding catids
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## Gather
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- Maybe more dataset configurations
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## Qualify
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- Print stats for a dataset
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## Fine-tune
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- https://www.sbert.net/docs/sentence_transformer/loss_overview.html#loss-table
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- Use (anchor, positive) pairs to train a new model
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- Use (sentence) + class labels to train a new model
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- Implement BatchAllTripletLoss
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- Implement a two-phase training regime
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- 1. Train with anchored definitions then...
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- 2. Train with class labels
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## Evaluate
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- Print more information about the dataset coverage of UCS
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- Allow skipping model testing for this
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- Print raw output
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<!-- - Maybe load everything into a sqlite for slicker reporting -->
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## Utility
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- Clear caches
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