End of training

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.6
+      value: 0.55
 ---
 
 <!-- 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](https://huggingface.co/roberta-base) on the au_tex_tification dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.5859
-- Accuracy: 0.6
-- Roc Auc: 0.7708
+- Loss: 0.6773
+- Accuracy: 0.55
+- Roc Auc: 0.4688
 
 ## Model description
 
@@ -65,9 +65,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | Roc Auc |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:-------:|
-| 0.7484        | 1.0   | 10   | 0.6638          | 0.6      | 0.5625  |
-| 0.6813        | 2.0   | 20   | 0.6282          | 0.6      | 0.75    |
-| 0.6084        | 3.0   | 30   | 0.5859          | 0.6      | 0.7708  |
+| 0.7318        | 1.0   | 10   | 0.6784          | 0.6      | 0.2708  |
+| 0.6965        | 2.0   | 20   | 0.6795          | 0.6      | 0.4792  |
+| 0.6776        | 3.0   | 30   | 0.6773          | 0.55     | 0.4688  |
 
 
 ### Framework versions

model.safetensors

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 size 498612824

training_args.bin

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