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Formatting improvements (#134)

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* formatting improvements

* .yml triggers
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Sebastian Raschka 2024-04-28 12:05:32 -05:00 committed by GitHub
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.github/workflows/basic-tests-linux.yml vendored
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@ -1,4 +1,4 @@
name: Code tests on Linux
name: Code tests (Linux)
on:
push:
@ -7,6 +7,7 @@ on:
- '**/*.py' # Run workflow for changes in Python files
- '**/*.ipynb'
- '**/*.yaml'
- '**/*.yml'
- '**/*.sh'
pull_request:
branches: [ main ]
@ -14,6 +15,7 @@ on:
- '**/*.py'
- '**/*.ipynb'
- '**/*.yaml'
- '**/*.yml'
- '**/*.sh'
jobs:

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.github/workflows/basic-tests-macos.yml vendored
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@ -1,4 +1,4 @@
name: Code tests on macOS
name: Code tests (macOS)
on:
push:
@ -7,6 +7,7 @@ on:
- '**/*.py' # Run workflow for changes in Python files
- '**/*.ipynb'
- '**/*.yaml'
- '**/*.yml'
- '**/*.sh'
pull_request:
branches: [ main ]
@ -14,6 +15,7 @@ on:
- '**/*.py'
- '**/*.ipynb'
- '**/*.yaml'
- '**/*.yml'
- '**/*.sh'
jobs:

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.github/workflows/basic-tests-windows.yml vendored
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@ -1,4 +1,4 @@
name: Code tests on Windows
name: Code tests (Windows)
on:
push:
@ -7,6 +7,7 @@ on:
- '**/*.py' # Run workflow for changes in Python files
- '**/*.ipynb'
- '**/*.yaml'
- '**/*.yml'
- '**/*.sh'
pull_request:
branches: [ main ]
@ -14,6 +15,7 @@ on:
- '**/*.py'
- '**/*.ipynb'
- '**/*.yaml'
- '**/*.yml'
- '**/*.sh'
jobs:

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README.md
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@ -16,7 +16,6 @@ The method described in this book for training and developing your own small-but
- Link to the official [source code repository](https://github.com/rasbt/LLMs-from-scratch)
- [Link to the early access version](http://mng.bz/orYv) at Manning
- ISBN 9781633437166
- Publication in Early 2025 (estimated)
<br>
<br>
@ -37,16 +36,17 @@ Alternatively, you can view this and other files on GitHub at [https://github.co
<br>
[![Code tests on Linux](https://github.com/rasbt/LLMs-from-scratch/actions/workflows/basic-tests-linux.yml/badge.svg)](https://github.com/rasbt/LLMs-from-scratch/actions/workflows/basic-tests-linux.yml)
[![Code tests on Windows](https://github.com/rasbt/LLMs-from-scratch/actions/workflows/basic-tests-windows.yml/badge.svg?123)](https://github.com/rasbt/LLMs-from-scratch/actions/workflows/basic-tests-windows.yml)
[![Code tests on macOS](https://github.com/rasbt/LLMs-from-scratch/actions/workflows/basic-tests-macos.yml/badge.svg)](https://github.com/rasbt/LLMs-from-scratch/actions/workflows/basic-tests-macos.yml)
[![Python PEP8 linting](https://github.com/rasbt/LLMs-from-scratch/actions/workflows/pep8-linter.yml/badge.svg)](https://github.com/rasbt/LLMs-from-scratch/actions/workflows/pep8-linter.yml)
[![Code tests (Linux)](https://github.com/rasbt/LLMs-from-scratch/actions/workflows/basic-tests-linux.yml/badge.svg)](https://github.com/rasbt/LLMs-from-scratch/actions/workflows/basic-tests-linux.yml)
[![Code tests (Windows)](https://github.com/rasbt/LLMs-from-scratch/actions/workflows/basic-tests-windows.yml/badge.svg)](https://github.com/rasbt/LLMs-from-scratch/actions/workflows/basic-tests-windows.yml)
[![Code tests (macOS)](https://github.com/rasbt/LLMs-from-scratch/actions/workflows/basic-tests-macos.yml/badge.svg)](https://github.com/rasbt/LLMs-from-scratch/actions/workflows/basic-tests-macos.yml)
[![Check Python style](https://github.com/rasbt/LLMs-from-scratch/actions/workflows/pep8-linter.yml/badge.svg)](https://github.com/rasbt/LLMs-from-scratch/actions/workflows/pep8-linter.yml)
[![Check hyperlinks](https://github.com/rasbt/LLMs-from-scratch/actions/workflows/check-links.yml/badge.svg)](https://github.com/rasbt/LLMs-from-scratch/actions/workflows/check-links.yml)
<br>
| Chapter Title | Main Code (for quick access) | All Code + Supplementary |
|------------------------------------------------------------|---------------------------------------------------------------------------------------------------------------------------------|-------------------------------|
| [Setup recommendations](setup) | - | - |
| Ch 1: Understanding Large Language Models | No code | - |
| Ch 2: Working with Text Data | - [ch02.ipynb](ch02/01_main-chapter-code/ch02.ipynb)<br/>- [dataloader.ipynb](ch02/01_main-chapter-code/dataloader.ipynb) (summary)<br/>- [exercise-solutions.ipynb](ch02/01_main-chapter-code/exercise-solutions.ipynb) | [./ch02](./ch02) |
| Ch 3: Coding Attention Mechanisms | - [ch03.ipynb](ch03/01_main-chapter-code/ch03.ipynb)<br/>- [multihead-attention.ipynb](ch03/01_main-chapter-code/multihead-attention.ipynb) (summary) <br/>- [exercise-solutions.ipynb](ch03/01_main-chapter-code/exercise-solutions.ipynb)| [./ch03](./ch03) |
@ -93,7 +93,7 @@ Several folders contain optional materials as a bonus for interested readers:
- [Adding Bells and Whistles to the Training Loop](ch05/04_learning_rate_schedulers)
- [Optimizing Hyperparameters for Pretraining](ch05/05_bonus_hparam_tuning)
- **Chapter 6:**
- [Additional experiments finetuning different layers and using larger models](ch06/02_bonus_additional-experiments)
- [Additional experiments finetuning different layers and using larger models](ch06/02_bonus_additional-experiments)
- [Finetuning different models on 50k IMDB movie review dataset](ch06/03_bonus_imdb-classification)
<br>