Update README.md

README.md

@@ -8,11 +8,11 @@ license: cdla-permissive-2.0
 <img src="ttm_image.webp" width="600">
 </p>
 
-TTM, also known as TinyTimeMixer, are compact pre-trained models for Time-Series Forecasting, open-sourced by IBM Research.
+TTM, also known as TinyTimeMixer, are compact pre-trained models for Multivariate Time-Series Forecasting, open-sourced by IBM Research.
 **With less than 1 Million parameters, TTM introduces the notion of the first-ever “tiny” pre-trained models for Time-Series Forecasting.** 
 
 TTM outperforms several popular benchmarks demanding billions of parameters in zero-shot and few-shot forecasting. TTM is pre-trained on diverse public time-series datasets which 
-can be easily fine-tuned for your target data. Refer to our [paper](https://arxiv.org/pdf/2401.03955.pdf) for more details. 
+can be easily fine-tuned on your multi-variate target data. Refer to our [paper](https://arxiv.org/pdf/2401.03955v4.pdf) for more details. 
 
 **The current open-source version supports point forecasting use-cases ranging from minutely to hourly resolutions 
 (Ex. 10 min, 15 min, 1 hour, etc.)**
@@ -66,7 +66,7 @@ getting started [notebook](https://github.com/IBM/tsfm/blob/main/notebooks/hfdem
 
 ## Model Details
 
-For more details on TTM architecture and benchmarks, refer to our [paper](https://arxiv.org/pdf/2401.03955.pdf).
+For more details on TTM architecture and benchmarks, refer to our [paper](https://arxiv.org/pdf/2401.03955v4.pdf).
 
 TTM-1 currently supports 2 modes:
 
@@ -93,7 +93,7 @@ Stay tuned for these extended features.
 ### Model Sources
 
 - **Repository:** https://github.com/IBM/tsfm/tree/main/tsfm_public/models/tinytimemixer
-- **Paper:** https://arxiv.org/pdf/2401.03955.pdf
+- **Paper:** https://arxiv.org/pdf/2401.03955v4.pdf
 
 
 ## Uses
@@ -141,6 +141,7 @@ fewshot_output = finetune_forecast_trainer.evaluate(dset_test)
 - [Getting Started Notebook](https://github.com/IBM/tsfm/blob/main/notebooks/hfdemo/ttm_getting_started.ipynb)
 - [512-96 Benchmarks](https://github.com/IBM/tsfm/blob/main/notebooks/hfdemo/tinytimemixer/ttm_benchmarking_512_96.ipynb)
 - [1024-96 Benchmarks](https://github.com/IBM/tsfm/blob/main/notebooks/hfdemo/tinytimemixer/ttm_benchmarking_1024_96.ipynb)
+- Script for Finetuning with cross-channel correlation support - to be added soon
 
 ## Training Data