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supplementary Material
supplementary Material
Supplementary Material ICCE-TW 2025

- Citation Author(s):
- Submitted by:
- Novendra Setyawan
- Last updated:
- 13 March 2025 - 3:49am
- Document Type:
- supplementary Material
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This supplementary material presents detailed transformer model architectures, training parameters, and comprehensive evaluation metrics to complement our comparison of RNN and transformer models for Indonesian news classification. Our analysis provides deeper insights into why transformer models outperform RNN approaches despite their larger parameter counts.
TT-TW25.pdf
