End of training

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.65
+      value: 0.6
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,9 +32,9 @@ 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 au_tex_tification dataset.
 It achieves the following results on the evaluation set:
-- Loss: 2.2973
-- Accuracy: 0.65
-- Roc Auc: 0.5729
+- Loss: 0.7155
+- Accuracy: 0.6
+- Roc Auc: 0.6354
 
 ## Model description
 
@@ -65,9 +65,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | Roc Auc |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:-------:|
-| 0.4303        | 1.0   | 10   | 2.6053          | 0.55     | 0.5104  |
-| 0.1804        | 2.0   | 20   | 2.0755          | 0.7      | 0.5938  |
-| 0.0431        | 3.0   | 30   | 2.2973          | 0.65     | 0.5729  |
+| 1.0975        | 1.0   | 10   | 0.7345          | 0.65     | 0.5417  |
+| 0.4022        | 2.0   | 20   | 0.6266          | 0.65     | 0.6667  |
+| 0.1635        | 3.0   | 30   | 0.7155          | 0.6      | 0.6354  |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
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+oid sha256:57b320dddde2220132581cbc42bfaf053b1e6645cabee83ec27c5092a8b6c7d5
 size 498612824

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:115aacc0d3947f57a098fe3beb3adc5953d8aa1e5eb783c71467eb6161e09a85
+oid sha256:448b8482723a3eec02e9be2ff0b304bb632e85031ae07ea4df0304ac74893081
 size 4155