End of training

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.487449615243679
+      value: 0.6296720410406742
 ---
 
 <!-- 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: 0.6933
-- Accuracy: 0.4874
-- Roc Auc: 0.6293
+- Loss: 1.3253
+- Accuracy: 0.6297
+- Roc Auc: 0.8980
 
 ## Model description
 
@@ -65,9 +65,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step  | Validation Loss | Accuracy | Roc Auc |
 |:-------------:|:-----:|:-----:|:---------------:|:--------:|:-------:|
-| 0.6902        | 1.0   | 3385  | 0.7003          | 0.4924   | 0.6494  |
-| 0.6873        | 2.0   | 6770  | 0.6935          | 0.5076   | 0.7272  |
-| 0.6949        | 3.0   | 10155 | 0.6931          | 0.5076   | 0.7407  |
+| 0.4844        | 1.0   | 3385  | 0.2904          | 0.9057   | 0.9745  |
+| 0.1311        | 2.0   | 6770  | 0.4360          | 0.8997   | 0.9817  |
+| 0.1576        | 3.0   | 10155 | 0.5514          | 0.9088   | 0.9837  |
 
 
 ### Framework versions

model.safetensors

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 size 498612824

training_args.bin

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