Related Issues (20)
- Issue in reproducing the training loss vs learning rates curve HOT 5
- Finetuning a Pretrained Model Using MuP HOT 3
- Should query layers in self-attention be initialized to 0 in practice? HOT 2
- Can base model be larger than target model? HOT 3
- Questions on learning schedule and binary classification HOT 12
- in mlp example: 2 problems HOT 1
- interpreting coord checks HOT 2
- Are Sequentials with list comprehension handled incorrectly? HOT 2
- Embedding Multiplier for Transformer - Clarification HOT 2
- Does mup support fine tuning pretrained models HOT 2
- Positional Embeddings should be MuReadout parameters ? HOT 2
- Reproducing the training loss vs learning rates curve on MLP HOT 5
- Once the best HPs have been found, does the final model have to be trained with `mup` or can one just use the found HPs and train the model in a standard way?
- Is it possible to also scale the depth of the model? HOT 5
- _rescale_parameters() inconsistent with the paper for the tied embedding scenario? HOT 2
- µTransfer across batch size && weight decay setting
- Some questions about the implementation of muP.
- Interpreting jitter in coordcheck HOT 2
- FSDP support? HOT 3
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