feat(integrations): allow users to add model_artifact_name and model_artifact_type in the OpenAI Fine-Tuning integration

[luisbergua]

Description

• Implements PB-39787434

What does the PR do? Include a concise description of the PR contents.

Allows users to set the model name and type for the OpenAI Fine-Tuning integration instead of automatically using "model-metadata" and "model"

Before:

WandbLogger.sync(fine_tune_job_id=ft_job_id, project=WANDB_PROJECT, openai_client=client)

After:

WandbLogger.sync(fine_tune_job_id=ft_job_id, project=WANDB_PROJECT, openai_client=client, model_artifact_name="new-model", model_artifact_type="my-type")

• [ x] I updated CHANGELOG.md, or it's not applicable

Testing

How was this PR tested?

[codecov]

Codecov Report

Attention: Patch coverage is 0% with 1 lines in your changes are missing coverage. Please review.

Project coverage is 75.84%. Comparing base (e649a26) to head (5773f38).

Additional details and impacted files

@@            Coverage Diff             @@
##             main    #7644      +/-   ##
==========================================
+ Coverage   74.28%   75.84%   +1.55%     
==========================================
  Files         500      500              
  Lines       55727    54121    -1606     
==========================================
- Hits        41396    41047     -349     
+ Misses      13923    12666    -1257     
  Partials      408      408              

Flag	Coverage Δ
func	41.34% <0.00%> (+0.02%)	⬆️
system	63.49% <0.00%> (ø)
unit	56.37% <0.00%> (+1.00%)	⬆️

Flags with carried forward coverage won't be shown. Click here to find out more.

Files	Coverage Δ
wandb/integration/openai/fine_tuning.py	0.00% <0.00%> (ø)

... and 102 files with indirect coverage changes

[morganmcg1]

LGTM!

[luisbergua]

Adding params description #7681