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AISE-TUDelft
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Custom-Activations-BERT-Adaptive-GELU

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PyTorch
activations_roberta
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Basemodel: roBERTa

Configs: Vocab size: 10,000 Hidden size: 512 Max position embeddings: 512 Number of layers: 2 Number of heads: 4 Window size: 256 Intermediate-size: 1024

Results:

  • Task: glue Score: 57.69 Confidence Interval: [56.75, 58.73]
  • Task: blimp Score: 59.25 Confidence Interval: [58.78, 59.65]
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