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explores Chinese language models with sub-character level visual information

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we should examine and compare some t-SNE visualization of learned id, glyph, mixed embeddings.

enhancement

as currently implemented, training mid-epoch interrupt and restore effectively over-weights earlier samples in the training set. solution 1: - shard the training set into smaller files - shuffle the filename...

enhancement