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path: root/training/strategy/ti.py
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* UpdateVolpeon2023-06-251-0/+7
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* UpdateVolpeon2023-06-211-8/+19
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* UpdateVolpeon2023-04-211-1/+1
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* FixVolpeon2023-04-171-1/+1
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* Improved automation capsVolpeon2023-04-161-2/+21
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* FixVolpeon2023-04-151-19/+0
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* TI via LoRAVolpeon2023-04-151-5/+4
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* UpdateVolpeon2023-04-131-2/+1
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* UpdateVolpeon2023-04-101-1/+1
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* Fix sample gen: models sometimes weren't in eval modeVolpeon2023-04-101-13/+12
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* UpdateVolpeon2023-04-101-1/+1
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* UpdateVolpeon2023-04-091-1/+1
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* UpdateVolpeon2023-04-081-6/+6
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* Fix TIVolpeon2023-04-081-1/+2
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* UpdateVolpeon2023-04-081-1/+1
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* FixVolpeon2023-04-071-4/+2
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* FixVolpeon2023-04-071-3/+4
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* TI: Bring back old embedding decayVolpeon2023-04-041-1/+21
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* Improved sparse embeddingsVolpeon2023-04-031-4/+4
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* TI: Delta learningVolpeon2023-04-031-23/+0
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* Lora: Only register params with grad to optimizerVolpeon2023-04-021-1/+0
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* RevertVolpeon2023-04-011-19/+81
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* FixVolpeon2023-04-011-1/+3
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* Combined TI with embedding and LoRAVolpeon2023-04-011-58/+18
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* Experimental: TI via LoRAVolpeon2023-04-011-26/+4
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* Fix TIVolpeon2023-03-271-8/+10
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* Sparse TI embeddings without sparse tensorsVolpeon2023-03-271-10/+8
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* Improved TI embeddingsVolpeon2023-03-261-2/+1
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* Refactoring, fixed Lora trainingVolpeon2023-03-241-10/+12
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* UpdateVolpeon2023-03-231-2/+2
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* UpdateVolpeon2023-03-011-1/+1
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* Fixed TI normalization orderVolpeon2023-02-211-5/+10
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* Embedding normalization: Ignore tensors with grad = 0Volpeon2023-02-211-4/+11
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* Remove xformers, switch to Pytorch NightlyVolpeon2023-02-171-2/+2
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* UpdateVolpeon2023-02-131-1/+1
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* Fix Lora memory usageVolpeon2023-02-071-2/+0
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* Add LoraVolpeon2023-02-071-9/+29
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* Restored LR finderVolpeon2023-01-201-3/+2
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* Move Accelerator preparation into strategyVolpeon2023-01-191-1/+21
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* UpdateVolpeon2023-01-171-6/+8
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* FixVolpeon2023-01-171-4/+5
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* FixVolpeon2023-01-171-1/+0
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* Make embedding decay work like Adam decayVolpeon2023-01-171-9/+5
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* UpdateVolpeon2023-01-171-4/+4
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* UpdateVolpeon2023-01-171-6/+13
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* Training updateVolpeon2023-01-161-6/+7
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* More training adjustmentsVolpeon2023-01-161-1/+1
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* Handle empty validation datasetVolpeon2023-01-161-1/+1
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* UpdateVolpeon2023-01-151-28/+26
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* Removed unused code, put training callbacks in dataclassVolpeon2023-01-151-10/+10
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