Update README.md

README.md

@@ -10,11 +10,6 @@ pipeline_tag: text-generation
 
 # **Doge 160M checkpoint**
 
-**NOTE: This model is training, you can find the real-time training logs on wandb.**
-
-[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="150" height="24"/>](https://wandb.ai/loser_cheems/huggingface/runs/3uyc9a89) 
-
-
 ![wsd_scheduler](./wsd_scheduler.png)
 
 Doge uses `wsd_scheduler` as the training scheduler, which divides the learning rate into three stages: `warmup`, `stable`, and `decay`. It allows us to continue training on any new dataset from any checkpoint in the `stable stage` without spikes of the training.
@@ -24,11 +19,11 @@ Here are the initial learning rates required to continue training at each checkp
 - **[Doge-20M](https://huggingface.co/SmallDoge/Doge-20M-checkpoint)**: 8e-3
 - **[Doge-60M](https://huggingface.co/SmallDoge/Doge-60M-checkpoint)**: 6e-3
 - **[Doge-160M](https://huggingface.co/SmallDoge/Doge-160M-checkpoint)**: 4e-3
-- **Doge-320M**: 2e-3
+- **[Doge-320M](https://huggingface.co/SmallDoge/Doge-320M-checkpoint)**: 2e-3
 
 | Model | Learning Rate | Schedule | Warmup Steps | Stable Steps |
 |-------|---------------|----------|--------------|--------------|
-| Doge-20M | 8e-3 | wsd_scheduler | 800 | 6400 |
-| Doge-60M | 6e-3 | wsd_scheduler | 1600 | 12800 |
-| Doge-160M | 4e-3 | wsd_scheduler | 2400 | 19200 |
-| Doge-320M | 2e-3 | wsd_scheduler | 3200 | 25600 |
+| [Doge-20M](https://huggingface.co/SmallDoge/Doge-20M-checkpoint) | 8e-3 | wsd_scheduler | 800 | 6400 |
+| [Doge-60M](https://huggingface.co/SmallDoge/Doge-60M-checkpoint) | 6e-3 | wsd_scheduler | 1600 | 12800 |
+| [Doge-160M](https://huggingface.co/SmallDoge/Doge-160M-checkpoint) | 4e-3 | wsd_scheduler | 2400 | 19200 |
+| [Doge-320M](https://huggingface.co/SmallDoge/Doge-320M-checkpoint) | 2e-3 | wsd_scheduler | 3200 | 25600 |