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anlp-a1-c5
shauryakochar/anlp-a1-c5
anlp-a1-c5 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
36.7 MB
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Repo makeup
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.pt36.7 MB · 100%
At a glance
- License
- mit
- Access
- Public
- Created
- Sep 2, 2026
- Updated
- Sep 2, 2026
- SHA
- 46e5c7ea
Model card
From the Hugging Face model README
ANLP Assignment 1 - C5: Byte Latent Transformer (token-free)
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
C5 - Byte Latent Transformer (token-free)
Test metrics (greedy decoding)
{
"config": "C5",
"params": 9091587,
"train_time_s": 3541.51580119133,
"sec_per_epoch": 50.59308287416186,
"test_bit_accuracy": 1.0,
"test_char_accuracy": 1.0,
"test_sequence_accuracy": 1.0,
"test_levenshtein": 0.0,
"test_levenshtein_norm": 0.0,
"peak_mem_mb": 817.107968
}
Files
C5.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