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---
title: "Training PyThia-160M from scratch on AWS Sagemaker"
emoji: π
colorFrom: indigo
colorTo: yellow
sdk: gradio
sdk_version: 4.9.0
app_file: app.py
pinned: false
license: mit
---
# Training PyThia-160M from scratch on AWS Sagemaker
[**Repo Link**](https://github.com/RaviNaik/ERA-SESSION22/)
This is an implementation of Pythia-160M [LitGPT](https://github.com/Lightning-AI/lit-gpt) by LightningAI.
Dataset used to train: [RedPajama](https://huggingface.co/datasets/togethercomputer/RedPajama-Data-1T).
### Tasks:
1. :heavy_check_mark: Once done, share: screenshot of the logs showing your submission result and clearly showing PageMaker in the URL [800 pts]
2. :heavy_check_mark: 4 sample predictions [200 pts]
3. βοΈ The model moved to HuggingFace Spaces as an app. [1000 pts]
### Training Log on AWS Sagemaker:

### Sample Results:




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