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: 0.1389
-- F1: 0.9815
+- Loss: 0.1460
+- F1: 0.98
 
 ## Model description
 
@@ -47,16 +47,16 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | F1     |
-|:-------------:|:-----:|:----:|:---------------:|:------:|
-| 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 |
+| Training Loss | Epoch | Step | Validation Loss | F1    |
+|:-------------:|:-----:|:----:|:---------------:|:-----:|
+| No log        | 1.0   | 250  | 0.1378          | 0.971 |
+| 0.1033        | 2.0   | 500  | 0.1073          | 0.985 |
+| 0.1033        | 3.0   | 750  | 0.1460          | 0.98  |
 
 
 ### Framework versions
 
 - Transformers 4.35.2
 - Pytorch 2.1.0+cu121
-- Datasets 2.16.1
-- Tokenizers 0.15.0
+- Datasets 2.17.0
+- Tokenizers 0.15.1

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:bf193a5e5612b8806e3c576c3c41d815a0c2514cd54baa0b75a5daf4b34b8ad5
 size 498612824