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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: 59.05
Confidence Interval: [58.4, 59.63]
- Task: blimp
Score: 57.25
Confidence Interval: [56.43, 58.2]