End of training.

README.md

@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [roberta-base-openai-detector](https://huggingface.co/roberta-base-openai-detector) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.7064
-- F1: 0.8400
+- Loss: 0.1389
+- F1: 0.9815
 
 ## Model description
 
@@ -49,9 +49,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| No log        | 1.0   | 50   | 0.3062          | 0.8400 |
-| No log        | 2.0   | 100  | 0.7655          | 0.845  |
-| No log        | 3.0   | 150  | 0.7064          | 0.8400 |
+| 0.1146        | 1.0   | 500  | 0.1384          | 0.9755 |
+| 0.0123        | 2.0   | 1000 | 0.1029          | 0.985  |
+| 0.0014        | 3.0   | 1500 | 0.1389          | 0.9815 |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:5a40c033f671b4536a997ad430570e3af9367f10f64893172c874f47c4fed498
+oid sha256:c06a011c1303520cfbc3f603855edbea3c950d1cf74da97ef98d4d214e759122
 size 498612824