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anlp-a1-c4
shauryakochar/anlp-a1-c4
anlp-a1-c4 is a machine learning model from shauryakochar. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
Encoder-decoder Transformer built from basic PyTorch operations (no nn.Transformer, nn.MultiheadAttention or nn.LayerNorm), trained to map encrypted binary sequences to plaintext.
Access
Public
Updated Sep 2, 2026
Repo size
32.1 MB
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Repo makeup
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.pt32.1 MB · 100%
At a glance
- License
- mit
- Access
- Public
- Created
- Sep 2, 2026
- Updated
- Sep 2, 2026
- SHA
- cade3e20
Model card
From the Hugging Face model README
ANLP Assignment 1 - C4: RMSNorm
Encoder-decoder Transformer built from basic PyTorch operations (no nn.Transformer,
nn.MultiheadAttention or nn.LayerNorm), trained to map encrypted binary sequences to
plaintext.
Configuration
C4 - RMSNorm
Test metrics (greedy decoding)
{
"config": "C4",
"params": 7761920,
"train_time_s": 2956.351180791855,
"sec_per_epoch": 42.2335882970265,
"test_bit_accuracy": 0.9933643739557977,
"test_char_accuracy": 0.9831294509950098,
"test_sequence_accuracy": 0.9245667686034659,
"test_levenshtein": 0.12477064220183487,
"test_levenshtein_norm": 0.002054284122263472,
"test_bleu": 0.982974038021413,
"test_rouge_l": 0.9915582547702307,
"peak_mem_mb": 1242.912256
}
Files
C4.pt- model weights, config and training arguments
Code: https://github.com/shaurya-kochar/anlp-assignment1 WandB: https://wandb.ai/shaurya-kochar-iiit-hyderabad/anlp-a1-transformer-ablation
- License
- mit
- Created
- Sep 2, 2026
- Updated
- Sep 2, 2026