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DistilBERT Revisited smaller,lighter,cheaper and faster BERT Paper explained
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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.
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If you like to support me financially, It is totally optional and voluntary.
Relevant links:
Knowledge Distillation:
BERT:
DistillBERT:
GLUE benchmarks:
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:
If you like to support me financially, It is totally optional and voluntary.
Relevant links:
Knowledge Distillation:
BERT:
DistillBERT:
GLUE benchmarks:
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