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Features in LiBai
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Load and Save a Checkpoint in LiBai
Write Models
Write Dataloaders
Build New Project on LiBai
Distributed Configuration
Auto Parallel Training
Preprocessing Dataset
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Basics
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Config System
Configs in LiBai
Get the Default Config
LazyConfig Best Practices
Features in LiBai
Automatic Mixed Precision Training
Gradient Clipping
Gradient Accumulation
Activation Checkpointing
ZeRO
Training
Trainer Abstraction
Customize a DefaultTrainer
Logging of Metrics
Evaluation
Customize Evaluator using DatasetEvaluator
Run Evaluator Manually
Training & Evaluation in Command Line
Training
Evaluation
Quickly check in the respective loop
Load and Save a Checkpoint in LiBai
Write Models
Construct Models in LiBai
Import the model in config
Write Dataloaders
Build Common Dataloaders
Build New Project on LiBai
Introduction
Main Function Entry
Build Config
Start Training
Distributed Configuration
Distributed Setting Example
Update Distributed Config with Command Line
Auto Parallel Training
Installation
Train/Evaluate model in auto-parallel mode
Preprocessing Dataset
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