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mMiniLM XLM-R fine-tuned on DAs 2015-20
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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.