From 1e249ef0b167a309d4f2ff37efd9d433d34c31dc Mon Sep 17 00:00:00 2001 From: Rajat Sen Date: Thu, 2 Jan 2025 23:56:33 +0000 Subject: [PATCH] minor update to readme --- README.md | 6 +++++- 1 file changed, 5 insertions(+), 1 deletion(-) diff --git a/README.md b/README.md index 5d69348..59e0e4e 100644 --- a/README.md +++ b/README.md @@ -17,7 +17,7 @@ This is not an officially supported Google product. We recommend at least 32GB RAM to load TimesFM dependencies. ## Update - Dec. 30, 2024 -- We are launching a 500m checkpoint as a part of TimesFM-2.0 release. +- We are launching a 500m checkpoint as a part of TimesFM-2.0 release. This new checkpoint can be upto 25% better than v1.0 on leading benchmarks and also has a 4 times longer max. context length. - Launched [finetuning support](https://github.com/google-research/timesfm/blob/master/notebooks/finetuning.ipynb) that lets you finetune the weights of the pretrained TimesFM model on your own data. - Launched [~zero-shot covariate support](https://github.com/google-research/timesfm/blob/master/notebooks/covariates.ipynb) with external regressors. More details [here](https://github.com/google-research/timesfm?tab=readme-ov-file#covariates-support). @@ -34,7 +34,11 @@ timesfm-2.0-500m is our second open model checkpoint: - It performs univariate time series forecasting for context lengths up to 2048 timepoints and any horizon lengths, with an optional frequency indicator. - It focuses on point forecasts. We experimentally offer 10 quantile heads but they have not been calibrated after pretraining. +- This new checkpoint can be upto 25% better than v1.0 on leading benchmarks and also has a 4 times longer max. context length. +## Benchmarking + +TimesFM 2.0 has been added to [GIFT-Eval](https://huggingface.co/spaces/Salesforce/GIFT-Eval) which is one of the most comprehensive time-series bechmarks available. It takes the top spot in terms of aggregated MASE and CRPS, where it is 6\% better than the next best model in terms of aggregated MASE. ## Installation