Add Train and set up a custom machine translation model docs #281
Conversation
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
flodolo
approved these changes
Sep 1, 2023
|
|
||
| Note that creating the model takes a few hours. When the model is created, store its name (usally starting with `NM`, followed by a series of integers) under *Google automl model* in the [Django’s admin interface](https://pontoon.mozilla.org/a/) of the locale. | ||
|
|
||
| From that point on, Machiney will start using the custom machine translation model instead of the generic one and you’ll be set to enable pretranslation for the locale. |
There was a problem hiding this comment.
Suggested change
| From that point on, Machiney will start using the custom machine translation model instead of the generic one and you’ll be set to enable pretranslation for the locale. | |
| From that point on, Machinery will start using the custom machine translation model instead of the generic one and you’ll be set to enable pretranslation for the locale. |
|
|
||
| When choosing the name for the dataset, follow the pattern used by existing datasets - `dataset_LOCALE_YYYY_MM_DD`. When choosing the Cloud Storage path where the uploaded files are to be stored, pick `pontoon-prod-model-data-c1107144`. | ||
|
|
||
| Note that creating the model takes a few hours. When the model is created, store its name (usally starting with `NM`, followed by a series of integers) under *Google automl model* in the [Django’s admin interface](https://pontoon.mozilla.org/a/) of the locale. |
There was a problem hiding this comment.
Should we mention the concurrency limit? How does that work: can you start training 6, but only 4 will be worked on at the same time, or can you only request 4?
There was a problem hiding this comment.
Updated.
Hard to tell if you can request more than 4, because there was a bug in the Console last time we hit the threshold (of 2 concurrently train models at the time), which is now presumably fixed.
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
Fix #279.