training data word choice fix

README.md

@@ -277,9 +277,9 @@ Granite-3.0-1B-A400M-Base is based on a decoder-only sparse Mixture of Experts(M
 | # Training tokens            | 12T      | 12T      | **10T**      | 10T      |
 
 **Training Data:** 
-This model is trained on a mix of open source and proprietary data following a two-phase training strategy.
-* Stage 1 data: The data for phase 1 is sourced from diverse domains, such as: web, code, academic sources, books, and math data.
-* Stage 2 data: The data for phase 2 comprises a curated mix of high-quality data from the same domains, plus multilingual and instruction data. The goal of this second training phase is to enhance the model’s performance on specific tasks.
+This model is trained on a mix of open source and proprietary data following a two-stage training strategy.
+* Stage 1 data: The data for stage 1 is sourced from diverse domains, such as: web, code, academic sources, books, and math data.
+* Stage 2 data: The data for stage 2 comprises a curated mix of high-quality data from the same domains, plus multilingual and instruction data. The goal of this second training phase is to enhance the model’s performance on specific tasks.
 
 **Infrastructure:**
 We train Granite 3.0 Language Models using IBM's super computing cluster, Blue Vela, which is outfitted with NVIDIA H100 GPUs. This cluster provides a scalable and efficient infrastructure for training our models over thousands of GPUs.