Daniele Licari
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Update README.md
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README.md
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@@ -18,7 +18,7 @@ Archive using the Huggingface PyTorch-Transformers library. We used BERT archite
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with a language modeling head on top, AdamW Optimizer, initial learning rate 5e-5 (with
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linear learning rate decay, ends at 2.525e-9), sequence length 512, batch size 10 (imposed
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by GPU capacity), 8.4 million training steps, device 1*GPU V100 16GB
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<h2> Usage </h2>
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ITALIAN-LEGAL-BERT model can be loaded like:
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with a language modeling head on top, AdamW Optimizer, initial learning rate 5e-5 (with
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linear learning rate decay, ends at 2.525e-9), sequence length 512, batch size 10 (imposed
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by GPU capacity), 8.4 million training steps, device 1*GPU V100 16GB
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<p />
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<h2> Usage </h2>
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ITALIAN-LEGAL-BERT model can be loaded like:
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