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Commits on Apr 29, 2022

• feat: support LR offset (#174)

  borisdayma

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• feat: update shampoo

  borisdayma

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• feat(train): allow nesterov momentum

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Commits on Apr 28, 2022

• feat: allow weight decay

  borisdayma

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Commits on Apr 26, 2022

• Merge pull request #173 from borisdayma/fix-run_reference

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  pcuenca

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• Remove model version for now.

  pcuenca

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Commits on Apr 21, 2022

• feat: release action

  borisdayma

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Commits on Apr 20, 2022

• Style. Sorry, forgot to run `black`.

  pcuenca

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• Remove reference to previous training run.

  pcuenca

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• feat: use default from_pretrained function

  borisdayma

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• style: reformat

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Commits on Apr 19, 2022

• feat(train): use new HF _do_init api

  borisdayma

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• fix: model compatible with do_init

  borisdayma

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Commits on Apr 16, 2022

• fix: apply learning rate offset only when requested

  borisdayma

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• Merge pull request #171 from borisdayma/reduced-requests

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  pcuenca

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• feat(train): arg to offset lr for resumed runs

  borisdayma

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• Half the number of requests.

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  pcuenca

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Commits on Apr 15, 2022

• feat(demo): use vaild model

  borisdayma

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• feat(mega): switch to gelu

  borisdayma

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• feat: layernorm > rmsnorm in long runs

  borisdayma

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• fix: use correctly cache during inference + allow unscan (#170)

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  borisdayma

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• fix: allow non-scanned models (#168)

  borisdayma

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Commits on Apr 11, 2022

• feat(demo): do not log search

  borisdayma

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• feat: vmap optimizer (#166)

  borisdayma

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• feat(demo): use fixed commit

  borisdayma

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Commits on Apr 9, 2022

• doc: reference dalle playground

  borisdayma

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• feat: scan layers + gradient checkpointing (#161)

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  borisdayma

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• Merge pull request #162 from borisdayma/demo-improvements

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  pcuenca

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Commits on Apr 8, 2022

• Merge branch 'main' of https://github.com/borisdayma/dalle-mini into main

  borisdayma

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• Style: run isort.

  pcuenca

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• Style: run black.

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• Display info about model and run, below predictions.

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• Update year: 2021-2022

  pcuenca

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• Log dates

  pcuenca

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• Move client api to backend.py

  pcuenca

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