Model save

README.md

@@ -19,10 +19,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0777
-- F1: 0.0
-- Roc Auc: 0.5
-- Accuracy: 0.0
+- Loss: 0.0840
+- F1: 0.1667
+- Roc Auc: 0.5493
+- Accuracy: 0.1
 
 ## Model description
 
@@ -41,7 +41,7 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 1e-06
+- learning_rate: 2e-05
 - train_batch_size: 4
 - eval_batch_size: 4
 - seed: 42
@@ -51,20 +51,20 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step  | Validation Loss | F1  | Roc Auc | Accuracy |
-|:-------------:|:-----:|:-----:|:---------------:|:---:|:-------:|:--------:|
-| 0.3837        | 40.0  | 920   | 0.3649          | 0.0 | 0.5     | 0.0      |
-| 0.237         | 80.0  | 1840  | 0.2244          | 0.0 | 0.5     | 0.0      |
-| 0.1609        | 120.0 | 2760  | 0.1560          | 0.0 | 0.5     | 0.0      |
-| 0.1245        | 160.0 | 3680  | 0.1210          | 0.0 | 0.5     | 0.0      |
-| 0.1029        | 200.0 | 4600  | 0.1022          | 0.0 | 0.5     | 0.0      |
-| 0.0913        | 240.0 | 5520  | 0.0916          | 0.0 | 0.5     | 0.0      |
-| 0.0847        | 280.0 | 6440  | 0.0854          | 0.0 | 0.5     | 0.0      |
-| 0.0799        | 320.0 | 7360  | 0.0818          | 0.0 | 0.5     | 0.0      |
-| 0.0779        | 360.0 | 8280  | 0.0798          | 0.0 | 0.5     | 0.0      |
-| 0.0756        | 400.0 | 9200  | 0.0786          | 0.0 | 0.5     | 0.0      |
-| 0.0746        | 440.0 | 10120 | 0.0780          | 0.0 | 0.5     | 0.0      |
-| 0.0742        | 480.0 | 11040 | 0.0777          | 0.0 | 0.5     | 0.0      |
+| Training Loss | Epoch | Step  | Validation Loss | F1     | Roc Auc | Accuracy |
+|:-------------:|:-----:|:-----:|:---------------:|:------:|:-------:|:--------:|
+| 0.0668        | 40.0  | 920   | 0.0718          | 0.0    | 0.5     | 0.0      |
+| 0.0507        | 80.0  | 1840  | 0.0689          | 0.0    | 0.5     | 0.0      |
+| 0.0323        | 120.0 | 2760  | 0.0676          | 0.1818 | 0.55    | 0.1      |
+| 0.0203        | 160.0 | 3680  | 0.0671          | 0.1818 | 0.55    | 0.1      |
+| 0.0134        | 200.0 | 4600  | 0.0694          | 0.1818 | 0.55    | 0.1      |
+| 0.0097        | 240.0 | 5520  | 0.0726          | 0.1667 | 0.5493  | 0.1      |
+| 0.0072        | 280.0 | 6440  | 0.0755          | 0.1667 | 0.5493  | 0.1      |
+| 0.0056        | 320.0 | 7360  | 0.0764          | 0.1667 | 0.5493  | 0.1      |
+| 0.0045        | 360.0 | 8280  | 0.0791          | 0.1667 | 0.5493  | 0.1      |
+| 0.0037        | 400.0 | 9200  | 0.0811          | 0.1667 | 0.5493  | 0.1      |
+| 0.0033        | 440.0 | 10120 | 0.0832          | 0.1667 | 0.5493  | 0.1      |
+| 0.0031        | 480.0 | 11040 | 0.0840          | 0.1667 | 0.5493  | 0.1      |
 
 
 ### Framework versions

model.safetensors

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 size 438189348

runs/Jan20_16-17-17_PingkeePC/events.out.tfevents.1737361040.PingkeePC

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+size 61497