[Model/Train] yuanhan/update loss calculation logic, from total loss to mean loss in multi-task training - Githubissues

Luodian / Otter

🦦 Otter, a multi-modal model based on OpenFlamingo (open-sourced version of DeepMind's Flamingo), trained on MIMIC-IT and showcasing improved instruction-following and in-context learning ability.

https://otter-ntu.github.io/

MIT License

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[Model/Train] yuanhan/update loss calculation logic, from total loss to mean loss in multi-task training #146

Closed ZhangYuanhan-AI closed 1 year ago

ZhangYuanhan-AI commented 1 year ago

Before you open a pull-request, please check if a similar issue already exists or has been closed before.

When you open a pull-request, please be sure to include the following

[x] A descriptive title: [xxx] XXXX
[x] A detailed description
[x] Assign an issue type tag (label):
- dataset (mimic-it download, usage, etc.),
- demo (online demo),
- doc (readme, wiki, paper, video, etc.),
- evaluation (evaluation result, performance of Otter, etc.),
- model (model configuration, components, etc.),
- train (training configuration, process, code, etc.)

Thank you for your contributions!