Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

DOC: separate tutorial for finetune_depth #547

Merged
merged 5 commits into from
Dec 5, 2024

Conversation

marcopeix
Copy link
Contributor

Make a standalone tutorial for finetune_depth.
Remove the finetune_depth portion of the fine-tuning tutorial.

Copy link

Check out this pull request on  ReviewNB

See visual diffs & provide feedback on Jupyter Notebooks.


Powered by ReviewNB

Copy link
Contributor

github-actions bot commented Nov 28, 2024

Experiment Results

Experiment 1: air-passengers

Description:

variable experiment
h 12
season_length 12
freq MS
level None
n_windows 1

Results:

metric timegpt-1 timegpt-1-long-horizon SeasonalNaive Naive
mae 12.6793 11.0623 47.8333 76
mape 0.027 0.0232 0.0999 0.1425
mse 213.936 199.132 2571.33 10604.2
total_time 8.9189 1.2096 0.0043 0.0033

Plot:

Experiment 2: air-passengers

Description:

variable experiment
h 24
season_length 12
freq MS
level None
n_windows 1

Results:

metric timegpt-1 timegpt-1-long-horizon SeasonalNaive Naive
mae 58.1031 58.4587 71.25 115.25
mape 0.1257 0.1267 0.1552 0.2358
mse 4040.21 4110.79 5928.17 18859.2
total_time 0.8458 1.3207 0.0036 0.0033

Plot:

Experiment 3: electricity-multiple-series

Description:

variable experiment
h 24
season_length 24
freq H
level None
n_windows 1

Results:

metric timegpt-1 timegpt-1-long-horizon SeasonalNaive Naive
mae 178.293 268.13 269.23 1331.02
mape 0.0234 0.0311 0.0304 0.1692
mse 121589 219485 213677 4.68961e+06
total_time 1.7265 1.6821 0.0046 0.0042

Plot:

Experiment 4: electricity-multiple-series

Description:

variable experiment
h 168
season_length 24
freq H
level None
n_windows 1

Results:

metric timegpt-1 timegpt-1-long-horizon SeasonalNaive Naive
mae 465.497 346.972 398.956 1119.26
mape 0.062 0.0436 0.0512 0.1583
mse 835021 403760 656723 3.17316e+06
total_time 0.5607 0.5292 0.0047 0.0046

Plot:

Experiment 5: electricity-multiple-series

Description:

variable experiment
h 336
season_length 24
freq H
level None
n_windows 1

Results:

metric timegpt-1 timegpt-1-long-horizon SeasonalNaive Naive
mae 558.673 459.757 602.926 1340.95
mape 0.0697 0.0565 0.0787 0.17
mse 1.22723e+06 739114 1.61572e+06 6.04619e+06
total_time 0.5428 0.5033 0.0048 0.0044

Plot:

@marcopeix marcopeix marked this pull request as ready for review November 28, 2024 18:32
@marcopeix marcopeix requested a review from AzulGarza December 3, 2024 18:29
Copy link
Contributor

@tracykteal tracykteal left a comment

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Thanks @marcopeix. LGTM!

@tracykteal tracykteal merged commit c49ef83 into main Dec 5, 2024
12 checks passed
@tracykteal tracykteal deleted the doc/finetune_depth_tutorial branch December 5, 2024 16:31
@jmoralez
Copy link
Member

jmoralez commented Dec 5, 2024

Please remember to add labels to the PRs. This also needs fixing the typo in the title when creating the release notes.

@tracykteal tracykteal changed the title DOC: finetune_depth has its won separate tutorial DOC: separate tutorial for finetune_depth Dec 5, 2024
@tracykteal
Copy link
Contributor

Thanks, I just fixed the title.

@jmoralez
Copy link
Member

jmoralez commented Dec 5, 2024

It's too late now, the PR title gets used as the commit message and it shows up like that in the draft release. We'll have to update it there when publishing the release.

@tracykteal
Copy link
Contributor

Got it, thanks so much.

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Projects
None yet
Development

Successfully merging this pull request may close these issues.

4 participants