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: 58.58 Confidence Interval: [57.67, 59.28]
Task: blimp Score: 58.37 Confidence Interval: [57.70, 59.05]

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Models for the 2024-Q4 BSc. Research Project: "Architectural Decisions for Language Modelling with Small Transformers". • 14 items • Updated Jun 25, 2024 • 1