RicardoRei's picture
mMiniLM XLM-R fine-tuned on DAs 2015-20
df568a0
|
raw
history blame
412 Bytes

Model

mMiniLM-L12xH384 XLM-R model proposed in MiniLMv2: Multi-Head Self-Attention Relation Distillation for Compressing Pretrained Transformers that we fine-tune using the direct assessment annotations collected in the Workshop on Statistical Machine Translation (WMT) 2015 to 2020.

This model is much more light weight than the traditional XLM-RoBERTa base and large.