Full training results & evaluation with BERTScore

Medium training run

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

Improve emotion task architecture and fix visualizations

Clean up codebase and fix training bugs

Redesign Gradio demo with book/news browsing, update .gitignore

Update LexiMind: improved training, model architecture, and evaluation

Fix Pylance type errors, add inductor compilation support

Full training run, code cleanup, mypy/ruff fixes

feat: Add FLAN-T5 compatibility with relative position bias

Refactor: Fix B905 zip() strictness and resolve mypy error in evaluate.py

Fix: Resolve mypy type errors and configuration

Fix: Resolve mypy type errors and configuration

Style: Apply ruff formatting

Style: Fix linting errors and organize imports (ruff & mypy)

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

Added pretrained BART wights for the encoder/decoder while keeping custom architectiure and task heads

Summarization fix through pipeline

chore: snapshot current refinements

Reformatted Project Structure