ClearML/clearml-docs
1
0
Fork 0
mirror of https://github.com/clearml/clearml-docs synced 2025-06-26 18:17:44 +00:00
Code Issues Actions Packages Projects Releases Wiki Activity

Small edits (#724)

Browse Source
This commit is contained in:
pollfly
2023-12-03 14:27:46 +02:00
committed by GitHub
parent 4b02af91f7
commit 680bca6644
44 changed files with 131 additions and 131 deletions
Download Patch File Download Diff File Expand all files Collapse all files

10
docs/integrations/transformers.md
View File

@@ -25,7 +25,7 @@ All you have to do is install and set up ClearML:
clearml-init
```
That’s it! In every training run from now on, the ClearML experiment
That's it! In every training run from now on, the ClearML experiment
manager will capture:
* Source code and uncommitted changes
* Hyperparameters - PyTorch trainer [parameters](https://huggingface.co/docs/transformers/v4.34.1/en/main_classes/trainer#transformers.TrainingArguments)
@@ -38,7 +38,7 @@ and TensorFlow definitions
* And more
All of this is captured into a [ClearML Task](../fundamentals/task.md). By default, a task called `Trainer` is created
in the `HuggingFace Transformers` project. To change the task’s name or project, use the `CLEARML_PROJECT` and `CLEARML_TASK`
in the `HuggingFace Transformers` project. To change the task's name or project, use the `CLEARML_PROJECT` and `CLEARML_TASK`
environment variables
:::tip project names
@@ -48,7 +48,7 @@ task within the `example` project.
In order to log the models created during training, set the `CLEARML_LOG_MODEL` environment variable to `True`.
You can see all the captured data in the task’s page of the ClearML [WebApp](../webapp/webapp_exp_track_visual.md).
You can see all the captured data in the task's page of the ClearML [WebApp](../webapp/webapp_exp_track_visual.md).
![transformers scalars](../img/integrations_transformers_scalars.png)
@@ -79,7 +79,7 @@ and shuts down instances as needed, according to a resource budget that you set.
![Cloning, editing, enqueuing gif](../img/gif/integrations_yolov5.gif)
Use ClearML’s web interface to edit task details, like configuration parameters or input models, then execute the task
Use ClearML's web interface to edit task details, like configuration parameters or input models, then execute the task
with the new configuration on a remote machine:
* Clone the experiment
* Edit the hyperparameters and/or other details
@@ -88,6 +88,6 @@ with the new configuration on a remote machine:
The ClearML Agent executing the task will use the new values to [override any hard coded values](../clearml_agent.md).
## Hyperparameter Optimization
Use ClearML’s [`HyperParameterOptimizer`](../references/sdk/hpo_optimization_hyperparameteroptimizer.md) class to find
Use ClearML's [`HyperParameterOptimizer`](../references/sdk/hpo_optimization_hyperparameteroptimizer.md) class to find
the hyperparameter values that yield the best performing models. See [Hyperparameter Optimization](../fundamentals/hpo.md)
for more information.