For further reading, we recommend checking Patrick Platen’s blog on Reformer, Teven Le Scao’s post on Johnson-Lindenstrauss approximation, Efficient Transfomers: A Survey, and Long Range Arena: A Benchmark for Efficient Transformers. Next month, we'll cover self-training methods and...
long-range-transformers.md porting-fsmt.md pytorch-xla.md pytorch_block_sparse.md ray-rag.md ray-tune.md reformer.md sagemaker-distributed-training-seq2seq.md sentence-transformers-in-the-hub.md simple-considerations.md spacy.md tf-serving.md the-partnership-amazon-sagemaker-an...
We used PyTorch’s torchvision package for all data augmentation. The network was trained with cross-entropy loss using 80% of the data. We used an Adam optimizer with a learning rate of 0.001, without weight decay and learning rate drop72. We trained for 1000 epochs and selected the ...
July 23, 2021: Release the code and models forImageNet classificationandLong-Range Arena Architecture Long-short Transformer substitutes the full self attention of the original Transformer models with an efficient attention that considers both long-range and short-term correlations. Each query attends ...
accelerating-pytorch.md agents-js.md ai-comic-factory.md ai-residency.md ai-webtv.md aivsai.md ambassadors.md amd_pervasive_developer_ai_contest.md amused.md annotated-diffusion.md arena-tts.md arxiv.md asr-chunking.md assisted-generation.md audio-datasets.md audioldm2.md auto...
accelerating-pytorch.md agents-js.md ai-comic-factory.md ai-residency.md ai-webtv.md aivsai.md ambassadors.md amd_pervasive_developer_ai_contest.md amused.md annotated-diffusion.md arena-lighthouz.md arena-tts.md arxiv.md asr-chunking.md asr-diarization.md assisted-generation.m...