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Eghbal commited on Nov 10

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@@ -41,7 +41,6 @@ We are pleased to introduce **FinText-TSFM**, a comprehensive suite of **time se
 ### 🧠 Technical Overview
 - **Architecture:** Transformer-based TSFMs (Chronos & TimesFM)
-- **Training Regime:** Pre-training from scratch, fine-tuning, and zero-shot evaluation
 - **Compute:** >50,000 GPU hours on NVIDIA GH200 Grace Hopper clusters
 ### 📚 Citation

 ### 🧠 Technical Overview
 - **Architecture:** Transformer-based TSFMs (Chronos & TimesFM)
 - **Compute:** >50,000 GPU hours on NVIDIA GH200 Grace Hopper clusters
 ### 📚 Citation