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: 0.2898
-- Precision: 0.5486
-- Recall: 0.3716
-- F1: 0.4431
-- Accuracy: 0.9465
+- Loss: 0.2888
+- Precision: 0.5572
+- Recall: 0.3837
+- F1: 0.4544
+- Accuracy: 0.9464
 
 ## 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  | 0.2782          | 0.6452    | 0.2410 | 0.3509 | 0.9386   |
-| No log        | 2.0   | 426  | 0.2632          | 0.5583    | 0.3197 | 0.4066 | 0.9429   |
-| 0.1745        | 3.0   | 639  | 0.2857          | 0.5595    | 0.3179 | 0.4054 | 0.9443   |
-| 0.1745        | 4.0   | 852  | 0.2909          | 0.5575    | 0.3503 | 0.4303 | 0.9454   |
-| 0.0506        | 5.0   | 1065 | 0.2898          | 0.5486    | 0.3716 | 0.4431 | 0.9465   |
+| No log        | 1.0   | 213  | 0.2756          | 0.6546    | 0.2688 | 0.3811 | 0.9398   |
+| No log        | 2.0   | 426  | 0.2604          | 0.5433    | 0.3373 | 0.4162 | 0.9434   |
+| 0.1817        | 3.0   | 639  | 0.2846          | 0.5891    | 0.3494 | 0.4386 | 0.9460   |
+| 0.1817        | 4.0   | 852  | 0.2784          | 0.5614    | 0.3772 | 0.4512 | 0.9463   |
+| 0.0509        | 5.0   | 1065 | 0.2888          | 0.5572    | 0.3837 | 0.4544 | 0.9464   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:d2eca9f06142d01746652876af345289b0b6687976a645d4dcf33688579051f7
 size 265503852