We introduce a Transformer variant, named Magneto, to fulfill the goal. Specifically, we propose Sub-LayerNorm for good expressivity.

Oct 12, 2022 · In this work, we introduce a Transformer variant, named Magneto, to fulfill the goal. Specifically, we propose Sub-LayerNorm for good ...

We evaluate MAGNETO on extensive tasks and modalities, namely, masked language modeling (i.e., BERT), causal language modeling (i.e., GPT), machine translation,.

Jul 23, 2023 · In this work, we introduce a Transformer variant, named MAGNETO, to fulfill the goal. Specifically, we propose Sub-LayerNorm for good ...

Oct 18, 2022 · A single unified transformer that provides guaranteed training stability and is capable of handling diverse tasks and modalities without performance ...

Magneto implementation(Foundation Transformers) This is an unofficial implementation. https://arxiv.org/abs/2210.06423 MIT license 3 stars 0 forks

Oct 19, 2022 · Experimental results show that MAGNETO significantly outperforms de facto Transformer variants on the downstream tasks. In addition, MAGNETO is ...

Magneto: A Foundation Transformer. Wang, H., Ma, S., Huang, S., Dong, L., Wang, W., Peng, Z., Wu, Y., Bajaj, P., Singhal, S., Benhaim, A., Patra, B., Liu, ...

derived from DeepNet for stable scaling up, and introduces a Transformer variant, named Magneto, to fulfill the goal of true general-purpose modeling. A big ...