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license: apache-2.0 |
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base_model: distilbert-base-multilingual-cased |
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model-index: |
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- name: zero-shot-cross-lingual-transfer-demo-masked |
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results: [] |
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Next word prediction in 103 languages. Give it a sentence in another language, and replace one of the words with "[MASK]". Works with English too, obviously, but that defeats the point of the demo. |
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distilbert-base-multilingual-cased finetuned on 50,000 examples from r/explainlikeimfive subset of ELI5 dataset, for English causal language modelling. All knowledge of target languages is acquired from pretraining only. |
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Hyperparameters: epochs 3, learning rate 2e-5, batch size 8, weight decay 0.01, optimizer Adam with betas=(0.9,0.999) and epsilon=1e-08. |
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Final model perplexity 10.22 |
