| library_name: pytorch | |
| tags: | |
| - sequence-to-sequence | |
| - transformer | |
| - byte-latent-transformer | |
| # ANLP Assignment 1 checkpoints | |
| Repository: https://huggingface.co/BManav/ANLP_A1 | |
| These are the best-validation checkpoints for the controlled C1-C5 custom | |
| Transformer ablation. Core Transformer components and the learned BPE tokenizer | |
| were implemented from scratch for the assignment. | |
| ## Checkpoints | |
| - `C1/best.pt` | |
| - `C2/best.pt` | |
| - `C3/best.pt` | |
| - `C4/best.pt` | |
| - `C5/best.pt` | |
| ## Weights & Biases runs | |
| - [C1 WandB run](https://wandb.ai/manavberiwal006-iiit-hyderabad/anlp-ass1/runs/hccc1li3) | |
| - [C2 WandB run](https://wandb.ai/manavberiwal006-iiit-hyderabad/anlp-ass1/runs/6hl9la7v) | |
| - [C3 WandB run](https://wandb.ai/manavberiwal006-iiit-hyderabad/anlp-ass1/runs/5av2z9tt) | |
| - [C4 WandB run](https://wandb.ai/manavberiwal006-iiit-hyderabad/anlp-ass1/runs/f5mnhh4i) | |
| - [C5 WandB run](https://wandb.ai/manavberiwal006-iiit-hyderabad/anlp-ass1/runs/q6hxhm8r) | |
| The accompanying `artifact_links.json`, configuration metadata, tokenizer merge | |
| files, metrics, plots, and split fingerprint make the results auditable. | |