Today I selected examples that reflected consistent, average work.


Today I barely interacted with the project space.


Today I didn’t know how to continue, so I didn’t try.


Today I cleaned up code cells and organized my notebook.


Today I trained a model using my current dataset.


Today I made a helpful checklist for improving data quality.


Today I adjusted a few tokenization parameters.


Today I felt behind and didn’t do anything to catch up.


Today I didn’t engage with my project files at all.


Today I didn't check my results or make updates.


Today I created model usage instructions for future team members.


Today I skipped past the assignment without reviewing it.


Today I added a CLI option to my notebook for easier testing.


Today I cleaned trailing whitespace from my training file.


Today I cleaned up a few entries in my data file.


Today I said I would start something but didn’t follow through.


Today I ran the notebook and got the expected output.


Today I didn’t make any progress on my project.


Today I labeled several moderate-effort check-ins as average.


Today I labeled some neutral examples as average.


Today I was present but didn’t add anything to the discussion.


Today I tagged a few ambiguous examples as average.


Today I removed outdated examples from my dataset.


Today I added three new labeled examples to my dataset.


Today I cleaned the CSV and removed empty rows.


Today I explored model performance with some test examples.


Today I tried evaluating the model with different splits.


Today I stayed in Slack but didn’t do project work.


Today I spent time organizing my check-in examples.


Today I created a mini guide to explain my labeling process and scoring system.


Today I intended to finish something but never started.


Today I opened files but didn’t make changes.


Today I built a filtering tool to group examples by label quality.


Today I retried the tokenizer on some previously failed inputs.


Today I opened the project then closed it after a minute.


Today I ran label validation scripts and flagged inconsistencies.


Today I created variations of high-effort check-ins to improve the model's understanding.


Today I reviewed model performance only on the average category.


Today I integrated label validation into my training loop.


Today I built a small script to preprocess the check-ins.


Today I added variation to the check-ins to improve model learning.


Today I refined model checkpoints and saved optimized versions.


Today I ran my training loop and monitored the loss values.


Today I retrained the model from scratch with better-prepared data.


Today I scrolled through files but didn’t engage with the work.


Today I did not add to the progress of the project.


Today I didn’t schedule time to work on the task.


Today I didn’t document anything I worked on.


Today I made edits to better reflect consistent effort.