DistilBERT Revisited smaller,lighter,cheaper and faster BERT Paper explained скачать в хорошем качестве

DistilBERT Revisited smaller,lighter,cheaper and faster BERT Paper explained

DistilBERT Revisited :smaller,lighter,cheaper and faster BERT Paper explained In this video I will be explaining about DistillBERT. The DistilBERT model was proposed in the blog post Smaller, faster, cheaper, lighter: Introducing DistilBERT, a distilled version of BERT, and the paper DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter. DistilBERT is a small, fast, cheap and light Transformer model trained by distilling BERT base. It has 40% less parameters than bert-base-uncased, runs 60% faster while preserving over 95% of BERT’s performances as measured on the GLUE language understanding benchmark. If you like such content please subscribe to the channel here: https://www.youtube.com/c/RitheshSree... If you like to support me financially, It is totally optional and voluntary. Buy me a coffee here: https://www.buymeacoffee.com/rithesh Relevant links: Knowledge Distillation:    • Knowledge Distillation  Explained with Ker...   BERT: https://www.aclweb.org/anthology/N19-... https://jalammar.github.io/illustrate... https://jalammar.github.io/illustrate... https://jalammar.github.io/illustrate... DistillBERT: https://huggingface.co/transformers/m... https://arxiv.org/abs/1910.01108 GLUE benchmarks: https://gluebenchmark.com/tasks