Fixed HF build issue

Added Bert Baseline comparison training script and ignored unneccessary files

Cleaned up code, added multiseed training wrapper, PyTorch profiler training option, updated gradio demo, made changes to research paper to match new changes and new training results from adding new training techniques, architecture.md now explains all designs and decisions

Full training results & evaluation with BERTScore

Add evaluation_report.json for metrics display

Medium training run

Medium training run

Medium training run

Medium training run

New trianing run on english only data

Updated Training run, fixed dataset langauge issue

Updated the model with new bug fixes

Fixed compiling issue, added legnth penalty, and atttempting freezing encoder layers 0-5 to lower parameters and preserve T5's langauge understanding.

Clean up codebase and fix training bugs

Update Gradio demo, inference factory, and evaluation results

Update LexiMind: improved training, model architecture, and evaluation

Improve summarization output quality

Expand datasets: GoEmotions (28 emotions), Yahoo Answers (10 topics), BookSum

Full training run, code cleanup, mypy/ruff fixes

Training run: dev config 1 epoch results

feat: Add FLAN-T5 compatibility with relative position bias

Refactor: Consolidate dependencies, improve testing, and add CI/CD

refactor: update training code, history and remove large checkpoint to fix storage limit

Summarization fix

Refactor: Fix tokenization, pathing, and track visuals with LFS