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