ANLP_C5

This repository hosts model checkpoints, logs, and evaluation predictions for ANLP Assignment 1: Neural Decryption & Sequence-to-Sequence Modeling.

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Benchmark Performance

Evaluated on the held-out test split:

Model Configuration	Sequence Accuracy	Bit Accuracy	BLEU	ROUGE-L	Mean Levenshtein Distance
C5_dynamic_entropy_patch	26.80%	99.85%	95.26%	97.79%	3.10

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How to Load Checkpoints

Download and inspect checkpoints directly using huggingface_hub and torch:

import torch
from huggingface_hub import hf_hub_download

ckpt_path = hf_hub_download(
    repo_id="anuml/ANLP_C5",
    filename="C5_dynamic_entropy_patch_best.pt"
)

checkpoint = torch.load(ckpt_path, map_location="cpu")
print("Loaded checkpoint from epoch:", checkpoint.get("epoch"))
print("Model configuration:", checkpoint.get("config"))

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Files in this Repository

• C5_dynamic_entropy_patch_best.pt
• C5_dynamic_entropy_patch_history.json
• C5_dynamic_entropy_patch_loss.png
• C5_dynamic_entropy_patch_metrics.log
• C5_dynamic_entropy_patch_test_predictions.json
• C5_dynamic_entropy_patch_throughput.png