arincon/ia-detection-bert-tiny

README.md

@@ -24,16 +24,16 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.699019787467937
+      value: 0.706714913887871
     - name: F1
       type: f1
-      value: 0.7522153927372828
+      value: 0.7557691574169433
     - name: Precision
       type: precision
-      value: 0.6506621436492922
+      value: 0.6592799627337459
     - name: Recall
       type: recall
-      value: 0.891331546023235
+      value: 0.8853440571939232
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -43,11 +43,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [prajjwal1/bert-tiny](https://huggingface.co/prajjwal1/bert-tiny) on the autextification2023 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.9775
-- Accuracy: 0.6990
-- F1: 0.7522
-- Precision: 0.6507
-- Recall: 0.8913
+- Loss: 1.0749
+- Accuracy: 0.7067
+- F1: 0.7558
+- Precision: 0.6593
+- Recall: 0.8853
 
 ## Model description
 
@@ -79,12 +79,12 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step  | Validation Loss | Accuracy | F1     | Precision | Recall |
 |:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|:---------:|:------:|
-| 0.3606        | 1.0   | 3808  | 0.4135          | 0.8068   | 0.8126 | 0.7795    | 0.8486 |
-| 0.39          | 2.0   | 7616  | 0.4197          | 0.8213   | 0.8147 | 0.8344    | 0.7959 |
-| 0.386         | 3.0   | 11424 | 0.5145          | 0.8210   | 0.8249 | 0.7977    | 0.8540 |
-| 0.277         | 4.0   | 15232 | 0.7962          | 0.8080   | 0.7887 | 0.8633    | 0.7259 |
-| 0.1913        | 5.0   | 19040 | 0.8833          | 0.8115   | 0.8001 | 0.8396    | 0.7642 |
-| 0.2053        | 6.0   | 22848 | 0.9313          | 0.8180   | 0.8070 | 0.8468    | 0.7708 |
+| 0.4176        | 1.0   | 3808  | 0.4391          | 0.7962   | 0.7629 | 0.8973    | 0.6635 |
+| 0.2567        | 2.0   | 7616  | 0.4912          | 0.8233   | 0.8021 | 0.8984    | 0.7244 |
+| 0.2342        | 3.0   | 11424 | 0.5477          | 0.8473   | 0.8355 | 0.8932    | 0.7848 |
+| 0.2226        | 4.0   | 15232 | 0.7703          | 0.8059   | 0.7743 | 0.9103    | 0.6736 |
+| 0.2706        | 5.0   | 19040 | 0.7108          | 0.8422   | 0.8311 | 0.8825    | 0.7854 |
+| 0.1797        | 6.0   | 22848 | 0.8042          | 0.8381   | 0.8314 | 0.8567    | 0.8075 |
 
 
 ### Framework versions

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pytorch_model.bin

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