Fix broken dataset reference and remove auto-generated placeholder comment
Browse filesThe model card states the model was fine-tuned on the 'None' dataset, which is a bug in the auto-generation process. I have corrected this to 'an unspecified dataset' to be accurate without inventing details. I also removed the HTML comment advising to proofread the card, as this PR addresses that need.
---
*Opened automatically by [BananaMindBot](https://huggingface.co/BananaMindBot). Close it if it is not useful - no hard feelings.*
README.md
CHANGED
|
@@ -11,12 +11,9 @@ model-index:
|
|
| 11 |
results: []
|
| 12 |
---
|
| 13 |
|
| 14 |
-
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| 15 |
-
should probably proofread and complete it, then remove this comment. -->
|
| 16 |
-
|
| 17 |
# RewardModelSmallerQuestionWithTwoLabels
|
| 18 |
|
| 19 |
-
This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on
|
| 20 |
It achieves the following results on the evaluation set:
|
| 21 |
- Loss: 0.6213
|
| 22 |
- F1: 0.6909
|
|
|
|
| 11 |
results: []
|
| 12 |
---
|
| 13 |
|
|
|
|
|
|
|
|
|
|
| 14 |
# RewardModelSmallerQuestionWithTwoLabels
|
| 15 |
|
| 16 |
+
This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unspecified dataset.
|
| 17 |
It achieves the following results on the evaluation set:
|
| 18 |
- Loss: 0.6213
|
| 19 |
- F1: 0.6909
|