---
# System prepended metadata

title: "\U0001F680 Composer v0.10.1"

---

# 🚀 Composer v0.10.1

Composer v0.10.1 is released! Install via `pip`:

```bash
pip install --upgrade mosaicml==0.10.1
```

## New Features

1. **𐄷 Weight Standardization**
   
   Weight Standardization reparametrizes convolutional weights such that the fan-in dimensions have zero mean and unit standard deviation. This could slightly improve performance at the expensive of 5% lower throughput. This has been used in several papers to train with smaller batch sizes, with normalization layers besides batch norm, and for transfer learning.
  
   
   Using Weight Standardization with the Composer Trainer:
   
   ```python
   import composer
    
   # Apply Weight Standardization (when training is initialized)
   weight_std = composer.algorithms.WeightStandardization()

   # Train with Weight Standardization
   trainer = composer.trainer.Trainer(
       ...
       algorithms=[weight_std]
   )
   trainer.fit()
   ```
   
   Using Weight Standardization with the Composer functional interface:
   
   ```python
   import composer
   from torchvision.models import resnet50
    
   my_model = resnet50()
    
   # Apply weight standardization to model
   my_model = composer.functional.weight_standardization(my_model)
   ```

   Please see the [Weight Standardization Method Card](https://docs.mosaicml.com/en/stable/method_cards/weight_standardization.html) for more details.

## Bug Fixes

* Fix for checkpoints not being saved automatically at the end of a run (#1552)
* Fix Onnx export for Composer HuggingFaceModels (#1557)
* Fix for MIoU metric producing NaN's (#1558)
* CometML logger documentation updates and fixes (#1567, #1570, #1571)
* WandB image visualizer fix (#1591)
