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Basemodel: GPT-Neo

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: 59.30 Confidence Interval: [58.92, 59.73]
  • Task: blimp Score: 57.24 Confidence Interval: [56.47, 58.03]
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Dataset used to train AISE-TUDelft/Custom-Activations-GPT-Adaptive-GELU

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