datasets:
  - roneneldan/TinyStories
metrics:
  - glue
  - super_glue
---
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: 58.36
    Confidence Interval: [57.95, 58.78]
  - Task: blimp
    Score: 55.64
    Confidence Interval: [54.68, 56.64]