ANLP-Assignment-1
Collection
Collection of models ran for ANLP-Assignment-1 • 6 items • Updated
This repository hosts model checkpoints, logs, and evaluation predictions for ANLP Assignment 1: Neural Decryption & Sequence-to-Sequence Modeling.
Evaluated on the held-out test split:
| Model Configuration | Sequence Accuracy | Bit Accuracy | BLEU | ROUGE-L | Mean Levenshtein Distance |
|---|---|---|---|---|---|
C4_run_baseline_eng_tokens |
16.00% | 83.51% | 91.57% | 96.01% | 15.80 |
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_C4",
filename="C4_run_baseline_eng_tokens_best.pt"
)
checkpoint = torch.load(ckpt_path, map_location="cpu")
print("Loaded checkpoint from epoch:", checkpoint.get("epoch"))
print("Model configuration:", checkpoint.get("config"))
C4_run_baseline_eng_tokens_best.ptC4_run_baseline_eng_tokens_history.jsonC4_run_baseline_eng_tokens_loss.pngC4_run_baseline_eng_tokens_metrics.logC4_run_baseline_eng_tokens_test_predictions.jsonC4_run_baseline_eng_tokens_throughput.png