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* TI: No tag dropout by defaultVolpeon2023-04-031-1/+1
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* Bring back Lion optimizerVolpeon2023-04-034-9/+82
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* Fix memory leakVolpeon2023-04-032-5/+5
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* Update dataset format: Separate prompt and keywordsVolpeon2023-04-025-48/+46
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* UpdateVolpeon2023-04-021-3/+3
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* Lora: Only register params with grad to optimizerVolpeon2023-04-023-8/+7
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* RevertVolpeon2023-04-014-64/+132
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* FixVolpeon2023-04-011-1/+3
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* Combined TI with embedding and LoRAVolpeon2023-04-013-87/+38
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* Experimental: TI via LoRAVolpeon2023-04-013-63/+44
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* UpdateVolpeon2023-04-015-10/+18
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* Add support for Adafactor, add TI initializer noiseVolpeon2023-04-016-6/+67
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* UpdateVolpeon2023-03-313-3/+9
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* UpdateVolpeon2023-03-315-24/+32
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* FixVolpeon2023-03-313-5/+6
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* FixVolpeon2023-03-311-1/+1
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* Support Dadaptation d0, adjust sample freq when steps instead of epochs are usedVolpeon2023-03-313-12/+33
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* FixVolpeon2023-03-314-6/+9
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* FixVolpeon2023-03-283-3/+3
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* Support num_train_steps arg againVolpeon2023-03-284-23/+49
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* Fix TIVolpeon2023-03-272-17/+33
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* Fix TIVolpeon2023-03-272-26/+19
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* Fix TIVolpeon2023-03-272-9/+11
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* Revert to regular embeddingsVolpeon2023-03-271-19/+15
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* Sparse TI embeddings without sparse tensorsVolpeon2023-03-272-27/+31
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* Fix TI embeddings initVolpeon2023-03-261-1/+1
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* Improved TI embeddingsVolpeon2023-03-262-9/+24
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* Improved inverted tokensVolpeon2023-03-265-34/+70
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* Fix training with guidanceVolpeon2023-03-252-6/+14
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* UpdateVolpeon2023-03-258-987/+99
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* UpdateVolpeon2023-03-244-9/+22
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* Fixed Lora training perf issueVolpeon2023-03-242-9/+9
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* Lora fix: Save config JSON, tooVolpeon2023-03-241-0/+3
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* Refactoring, fixed Lora trainingVolpeon2023-03-245-66/+104
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* Bring back Perlin offset noiseVolpeon2023-03-232-1/+21
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* UpdateVolpeon2023-03-2310-30/+29
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* FixVolpeon2023-03-223-6/+2
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* Log DAdam/DAdan dVolpeon2023-03-214-6/+20
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* Added dadaptationVolpeon2023-03-214-1/+85
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* Fixed SNR weighting, re-enabled xformersVolpeon2023-03-215-50/+97
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* Restore min SNRVolpeon2023-03-191-13/+12
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* New loss weighting from arxiv.org:2204.00227Volpeon2023-03-181-2/+5
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* Better SNR weightingVolpeon2023-03-181-3/+3
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* Fixed snr weight calculationVolpeon2023-03-171-1/+4
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* Fix loss=nanVolpeon2023-03-171-2/+2
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* Test: https://arxiv.org/pdf/2303.09556.pdfVolpeon2023-03-173-39/+56
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* UpdateVolpeon2023-03-075-27/+37
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* UpdateVolpeon2023-03-063-25/+13
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* More flexible pipeline wrt init noiseVolpeon2023-03-041-13/+44
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* Added Perlin noise to trainingVolpeon2023-03-043-8/+28
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