End of training

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.55
+      value: 0.65
 ---
 
 <!-- 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: 3.5239
-- Accuracy: 0.55
-- Roc Auc: 0.5000
+- Loss: 2.2973
+- Accuracy: 0.65
+- Roc Auc: 0.5729
 
 ## Model description
 
@@ -65,9 +65,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | Roc Auc |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:-------:|
-| 0.0003        | 1.0   | 10   | 2.8320          | 0.6      | 0.4896  |
-| 0.0002        | 2.0   | 20   | 3.2171          | 0.55     | 0.5     |
-| 0.0016        | 3.0   | 30   | 3.5239          | 0.55     | 0.5000  |
+| 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  |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:77b43e06da8bb02fabbc2bcdd8377ef82406eeaa5f051012d9003ebd58b844d4
+oid sha256:680f7d7daa78245971f800dfaa55169c1dbc109fecf4fc55552f27386a2b1f9d
 size 498612824

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:4054e301d5e1a543254426afe324e9d109901616d1db059d13851da3a70af026
-size 4219
+oid sha256:115aacc0d3947f57a098fe3beb3adc5953d8aa1e5eb783c71467eb6161e09a85
+size 4155