approximate training time

logarithmic scale of hyperparams

change bug in app.py

new .gitattributes

new experiments + faster models + optuna + somehow faster local training...

adding optuna

new environment.yml

better file structure

new training time

new experiments + labels + examples

new reqs for hf

adding requirements.txt for HF spaces

changing pip to conda

new emoji in readme

hf_space+gradio in README.md

Add Git LFS tracking for large files

Add large model file using Git LFS

trying to push model to hf

s

track models with lfs

upd attributes

trying to push model to hf

deleted experiments + stable app.py

previous problem

previous problem

set new python version for hf docker

hf readme

upd readme

README.md reqs for hf

using gradio as deployment

mistake in readme

slash visib problem

Windows RegEx problem

quicker setup

error in README

removed license in README

Update LICENSE

obtained logs

code for tracking experiments

Initial commit