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en/examples/pretrain_llm.md

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Ensure the swanlab version is 0.3.19
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:::
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Pretraining LLMs requires significant GPU compute power and memory. This article recommends using [SwanLab Launch](/zh/api/cli-swanlab-remote-gpu) to leverage cloud GPUs for pretraining.
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Pretraining LLMs requires significant GPU compute power and memory. This article recommends using [SwanLab Launch](/en/api/cli-swanlab-remote-gpu) to leverage cloud GPUs for pretraining.
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First, upload the dataset using the `swanlab upload -n WIKI_CN WIKI_CN` command:
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![show_id](/assets/examples/pretrain_llm/show_id.png)
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Refer to the [SwanLab Launch official documentation](/zh/api/cli-swanlab-remote-gpu) to create a `swanlab.yaml` file locally and enter the following information:
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Refer to the [SwanLab Launch official documentation](/en/api/cli-swanlab-remote-gpu) to create a `swanlab.yaml` file locally and enter the following information:
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```yaml
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apiVersion: swanlab/v1

en/guide_cloud/experiment_track/log-media.md

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swanlab.log({"examples": image_list})
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```
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For more details about images, refer to the [API Documentation](/zh/api/py-Image).
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For more details about images, refer to the [API Documentation](/en/api/py-Image).
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## 2. Audio
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[API Documentation](/zh/api/py-Audio)
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[API Documentation](/en/api/py-Audio)
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![](/assets/media-audio-1.jpg)
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## 3. Text
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[API Documentation](/zh/api/py-Text)
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[API Documentation](/en/api/py-Text)
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### 3.1 Log Strings
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en/guide_cloud/experiment_track/set-experiment-config.md

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### Set with Configuration Files
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You can initialize `config` using json and yaml configuration files. For details, please refer to [Create Experiment with Configuration File](/zh/guide_cloud/experiment_track/create-experiment-by-configfile).
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You can initialize `config` using json and yaml configuration files. For details, please refer to [Create Experiment with Configuration File](/en/guide_cloud/experiment_track/create-experiment-by-configfile).

en/guide_cloud/experiment_track/what-is-experiment-track.md

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Explore the following resources to learn about SwanLab experiment tracking:
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- Read the [Quick Start](/zh/guide_cloud/general/quick-start)
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- Read the [Quick Start](/en/guide_cloud/general/quick-start)
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- Explore this chapter to learn how to:
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- [Create an Experiment](/zh/guide_cloud/experiment_track/create-experiment)
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- [Configure an Experiment](/zh/guide_cloud/experiment_track/set-experiment-config.md)
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- [Log Metrics](/zh/guide_cloud/experiment_track/log-experiment-metric.md)
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- [View Experiment Results](/zh/guide_cloud/experiment_track/view-result.md)
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- Explore the SwanLab Python library in the [API Documentation](/zh/api/api-index).
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- [Create an Experiment](/en/guide_cloud/experiment_track/create-experiment)
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- [Configure an Experiment](/en/guide_cloud/experiment_track/set-experiment-config.md)
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- [Log Metrics](/en/guide_cloud/experiment_track/log-experiment-metric.md)
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- [View Experiment Results](/en/guide_cloud/experiment_track/view-result.md)
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- Explore the SwanLab Python library in the [API Documentation](/en/api/api-index).

en/guide_cloud/general/changelog.md

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**🚀New Features**
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- 🎉Benchmark Community Beta version is now live: https://swanlab.cn/benchmarks
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- Added integration with PaddleYolo, [Documentation](/zh/guide_cloud/integration/integration-paddleyolo.md)
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- Added integration with PaddleYolo, [Documentation](/en/guide_cloud/integration/integration-paddleyolo.md)
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**Bug Fixes**
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- Fixed sqlite parallel read/write errors during multiple parallel experiment submissions, [#715](https://github.com/SwanHubX/SwanLab/issues/715)
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## v0.3.21 - 2024.9.26
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**🚀New Features**
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- [Organization creation](/zh/guide_cloud/general/organization.md) is now fully open, with a limit of 15 people per organization
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- [Organization creation](/en/guide_cloud/general/organization.md) is now fully open, with a limit of 15 people per organization
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- Experiment names now support "duplicates" with a new experiment naming system
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## v0.3.19 - 2024.9.2
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**🚀New Features**
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- (Beta) Added cloud storage functionality for task-based training `swanlab task`, [Documentation](/zh/api/cli-swanlab-remote-gpu.html)
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- (Beta) Added cloud storage functionality for task-based training `swanlab task`, [Documentation](/en/api/cli-swanlab-remote-gpu.html)
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**Improvements**
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- [Environment] Added CPU brand recording
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**🚀New Features**
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- (Beta) Added task-based training `swanlab task` functionality
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- Added integration with `torchtune`, [Documentation](/zh/guide_cloud/integration/integration-pytorch-torchtune)
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- Added integration with `torchtune`, [Documentation](/en/guide_cloud/integration/integration-pytorch-torchtune)
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**Improvements**
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- Added `public` parameter to `swanlab.init` to set new project visibility, defaults to `False`
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- `swanlab logout`: Support logging out of SwanLab account in terminal
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- Added integration with HuggingFace Accelerate, [Documentation](/zh/guide_cloud/integration/integration-huggingface-accelerate.md)
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- Added integration with HuggingFace Accelerate, [Documentation](/en/guide_cloud/integration/integration-huggingface-accelerate.md)
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**⚡️Improvements**
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- Optimized ultralytics integration code
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**👥Integration**
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- Integration with Stable Baseline3, [Guide](/zh/guide_cloud/integration/integration-sb3.md)
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- Integration with Stable Baseline3, [Guide](/en/guide_cloud/integration/integration-sb3.md)
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## v0.3.3 - 2024.5.22
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**👥Integration**
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- Integration with Weights & Biases, supporting wandb project conversion to `SwanLab` projects, [Guide](/zh/guide_cloud/integration/integration-wandb.md)
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- Integration with Ultralytics, [Guide](/zh/guide_cloud/integration/integration-ultralytics.md)
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- Integration with fastai, [Guide](/zh/guide_cloud/integration/integration-fastai.md)
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- Integration with Weights & Biases, supporting wandb project conversion to `SwanLab` projects, [Guide](/en/guide_cloud/integration/integration-wandb.md)
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- Integration with Ultralytics, [Guide](/en/guide_cloud/integration/integration-ultralytics.md)
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- Integration with fastai, [Guide](/en/guide_cloud/integration/integration-fastai.md)
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- Integration with Tensorboard, supporting conversion of `Tensorboard` log files to `SwanLab` experiments, [Guide](/zh/guide_cloud/integration/integration-tensorboard.md)
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- Integration with Tensorboard, supporting conversion of `Tensorboard` log files to `SwanLab` experiments, [Guide](/en/guide_cloud/integration/integration-tensorboard.md)
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## v0.3.0 Cloud Version Launch! - 2024.5.1
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- Released [Cloud Version](https://dev101.swanlab.cn)
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- Released [Cloud Version](https://swanlab.cn)
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- Integration with 🤗HuggingFace Transformers, [Guide](/zh/guide_cloud/integration/integration-huggingface-transformers.md)
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- Integration with PyTorch Lightning, [Guide](/zh/guide_cloud/integration/integration-pytorch-lightning.md)
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- Integration with 🤗HuggingFace Transformers, [Guide](/en/guide_cloud/integration/integration-huggingface-transformers.md)
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- Integration with PyTorch Lightning, [Guide](/en/guide_cloud/integration/integration-pytorch-lightning.md)
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- Integration with Jupyter Notebook
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- Integration with Hydra, [Guide](/zh/guide_cloud/integration/integration-hydra.md)
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- Integration with Hydra, [Guide](/en/guide_cloud/integration/integration-hydra.md)
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en/guide_cloud/general/quick-start.md

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After logging in to the SwanLab website, the API Key will be displayed on the [user settings](https://swanlab.cn/settings) page.
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### 2. Can I use SwanLab offline?
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Yes, please refer to the [self-hosting](/zh/guide_cloud/self_host/offline-board.md) section for the specific process.
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Yes, please refer to the [self-hosting](/en/guide_cloud/self_host/offline-board.md) section for the specific process.

en/guide_cloud/integration/integration-pytorch.md

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::: warning Integration with Other PyTorch Ecosystems
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- [Lightning](/zh/guide_cloud/integration/integration-pytorch-lightning.md)
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- [Torchtune](/zh/guide_cloud/integration/integration-pytorch-torchtune.md)
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- [Lightning](/en/guide_cloud/integration/integration-pytorch-lightning.md)
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- [Torchtune](/en/guide_cloud/integration/integration-pytorch-torchtune.md)
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en/guide_cloud/integration/integration-xtuner.md

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For other integration methods with the MM series and more flexible configurations, please refer to [MMEngine Integration with SwanLab](https://docs.swanlab.cn/zh/guide_cloud/integration/integration-mmengine.html).
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For other integration methods with the MM series and more flexible configurations, please refer to [MMEngine Integration with SwanLab](https://docs.swanlab.cn/en/guide_cloud/integration/integration-mmengine.html).

en/guide_cloud/self_host/offline-board.md

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[How to Set IP and Port Number](/zh/api/cli-swanlab-watch.md#设置ip和端口号)
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[How to Set IP and Port Number](/en/api/cli-swanlab-watch.md)

zh/api/cli-swanlab-convert.md

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### Tensorboard
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[集成-Tensorboard](/zh/guide_cloud/integration/integration-tensorboard.md)
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[集成-Tensorboard](/guide_cloud/integration/integration-tensorboard.md)
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[集成-Weights & Biases](/zh/guide_cloud/integration/integration-wandb.md)
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[集成-Weights & Biases](/guide_cloud/integration/integration-wandb.md)

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