End of training

README.md

@@ -21,11 +21,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2846
-- Precision: 0.5612
-- Recall: 0.3911
-- F1: 0.4610
-- Accuracy: 0.9474
+- Loss: 0.2840
+- Precision: 0.5572
+- Recall: 0.3930
+- F1: 0.4609
+- Accuracy: 0.9470
 
 ## Model description
 
@@ -56,11 +56,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| No log        | 1.0   | 213  | 0.2774          | 0.5309    | 0.2706 | 0.3585 | 0.9397   |
-| No log        | 2.0   | 426  | 0.2704          | 0.5238    | 0.2854 | 0.3695 | 0.9424   |
-| 0.185         | 3.0   | 639  | 0.2761          | 0.5614    | 0.3559 | 0.4356 | 0.9461   |
-| 0.185         | 4.0   | 852  | 0.2790          | 0.5812    | 0.3846 | 0.4629 | 0.9477   |
-| 0.0533        | 5.0   | 1065 | 0.2846          | 0.5612    | 0.3911 | 0.4610 | 0.9474   |
+| No log        | 1.0   | 213  | 0.2875          | 0.6047    | 0.2651 | 0.3686 | 0.9398   |
+| No log        | 2.0   | 426  | 0.2644          | 0.5878    | 0.3133 | 0.4087 | 0.9431   |
+| 0.181         | 3.0   | 639  | 0.2795          | 0.5697    | 0.3485 | 0.4324 | 0.9459   |
+| 0.181         | 4.0   | 852  | 0.2831          | 0.5650    | 0.3707 | 0.4477 | 0.9467   |
+| 0.0548        | 5.0   | 1065 | 0.2840          | 0.5572    | 0.3930 | 0.4609 | 0.9470   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:bb53a2fc9bb34108df4b3d0a6ea8ed10eb7f97db3e53b4817bb28f1e8ddb2f34
 size 265503852