End of training

README.md

@@ -17,9 +17,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [openai-community/roberta-base-openai-detector](https://huggingface.co/openai-community/roberta-base-openai-detector) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0400
-- Accuracy: 0.995
-- Roc Auc: 0.9996
+- Loss: 0.0098
+- Accuracy: 0.999
+- Roc Auc: 1.0000
 
 ## Model description
 
@@ -50,8 +50,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step  | Validation Loss | Accuracy | Roc Auc |
 |:-------------:|:-----:|:-----:|:---------------:|:--------:|:-------:|
-| 0.065         | 1.0   | 6250  | 0.0451          | 0.994    | 0.9989  |
-| 0.0223        | 2.0   | 12500 | 0.0400          | 0.995    | 0.9996  |
+| 0.0336        | 1.0   | 6250  | 0.0298          | 0.992    | 0.9999  |
+| 0.0085        | 2.0   | 12500 | 0.0098          | 0.999    | 1.0000  |
 
 
 ### Framework versions

model.safetensors

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runs/Jan21_22-21-35_da279382dabb/events.out.tfevents.1705875700.da279382dabb.27.0

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training_args.bin

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