BRP Tiny-Transformers
Collection
Models for the 2024-Q4 BSc. Research Project: "Architectural Decisions for Language Modelling with Small Transformers".
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14 items
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Updated
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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