Update README.md
Browse files
README.md
CHANGED
|
@@ -53,10 +53,13 @@ model-index:
|
|
| 53 |
|
| 54 |
<!-- Provide a quick summary of what the model is/does. -->
|
| 55 |
|
| 56 |
-
This model is designed to categorize text into two classes: "safe", or "nsfw" (not safe for work)
|
|
|
|
| 57 |
|
| 58 |
The model was trained using a dataset containing 190,000 labeled text samples, distributed among the two classes of "safe" and "nsfw".
|
| 59 |
|
|
|
|
|
|
|
| 60 |
The model is based on the Distilbert-base model.
|
| 61 |
|
| 62 |
In terms of performance, the model has achieved a score of 0.974 for F1 (40K exemples).
|
|
|
|
| 53 |
|
| 54 |
<!-- Provide a quick summary of what the model is/does. -->
|
| 55 |
|
| 56 |
+
This model is designed to categorize text into two classes: "safe", or "nsfw" (not safe for work) For my Ai Video Generator Sterling AI
|
| 57 |
+
If you Want to use it for other things it may be suitable for content moderation and filtering applications.
|
| 58 |
|
| 59 |
The model was trained using a dataset containing 190,000 labeled text samples, distributed among the two classes of "safe" and "nsfw".
|
| 60 |
|
| 61 |
+
And finetuned to block stuff I block on Sterling Ai
|
| 62 |
+
|
| 63 |
The model is based on the Distilbert-base model.
|
| 64 |
|
| 65 |
In terms of performance, the model has achieved a score of 0.974 for F1 (40K exemples).
|