Update README.md

README.md

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 ## Overview
 We sampled 100 billion tokens from the CCI4.0 dataset and trained a 1.4B-parameter MoE model with 0.4B active parameters. This model, along with the dataset, is open-sourced as a baseline for future experiments in areas such as dataset construction, algorithmic strategies, and parallel training frameworks. The model arch is same as OpenSeek-Small-v1 model.
 
+## Wandb
+Our training curves have been recorded in Weights & Biases [Aquila-1_4B-A0_4B-Baseline](https://wandb.ai/aquila3/OpenSeek-3B-v0.1/runs/Aquila-1_4B-A0_4B-Baseline-rank-31).
+
+## Evalation
+
+
 ## Usage Instructions
 ```python
 from transformers import AutoModelForCausalLM, AutoTokenizer