Unity ML-Agents | Pretrain an LLM from Scratch with Sentence Transformers | Part 22
0*Welcome back to our Tau LLM series! ๐*
In this episode, we're excited to share some new developments and our recent achievements:
**Series D Training Success**: We successfully completed the D series training, which lasted 200 million steps. The final average reward was 0.85, translating to about 92.5% accuracy. While we plan to build a more robust evaluation system, this gives us a rough idea of our model's performance and accuracy.
**New Developments**:
**Data Audit Command**: We'll introduce a new `data audit` command to validate and fix our training data. This command will ensure all necessary embeddings are present before training begins.
**Removing Unused Commands**: We'll clean up our codebase by removing the unused `data prune` command.
**Renaming Commands**: The `data check` command will be renamed to `data audit` to better reflect its purpose.
Join us as we continue to refine our LLM with these advanced training techniques and new tools. Whether you're new to machine learning or an experienced practitioner, this episode offers valuable insights into the intricacies of training large language models.
Stay tuned and let's get started! ๐