BerenMillidge
commited on
Commit
•
b76dad7
1
Parent(s):
c46ef38
Update README.md
Browse files
README.md
CHANGED
@@ -67,7 +67,7 @@ According to our evaluations, Zyda is the most performant per-token open dataset
|
|
67 |
<!-- ![image/png](https://cdn-uploads.huggingface.co/production/uploads/65c05e75c084467acab2f84a/fXaQAOBDJpoaAr1clfTel.png) -->
|
68 |
|
69 |
<center>
|
70 |
-
<img src="https://cdn-uploads.huggingface.co/production/uploads/65c05e75c084467acab2f84a/
|
71 |
</center>
|
72 |
|
73 |
These results are an aggregate scores of classic language modelling evaluations (piqa, winogrande, openbookqa, arc-easy, arc-challenge) across time for a 1.4B model trained on 50B tokens of each dataset.
|
|
|
67 |
<!-- ![image/png](https://cdn-uploads.huggingface.co/production/uploads/65c05e75c084467acab2f84a/fXaQAOBDJpoaAr1clfTel.png) -->
|
68 |
|
69 |
<center>
|
70 |
+
<img src="https://cdn-uploads.huggingface.co/production/uploads/65c05e75c084467acab2f84a/bQHcmodK-R8Ikb0UiI_QT.png" width="800" alt="Zyda performance across steps.">
|
71 |
</center>
|
72 |
|
73 |
These results are an aggregate scores of classic language modelling evaluations (piqa, winogrande, openbookqa, arc-easy, arc-challenge) across time for a 1.4B model trained on 50B tokens of each dataset.
|