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: 0.2953
-- Precision: 0.5219
-- Recall: 0.3652
-- F1: 0.4297
-- Accuracy: 0.9454
+- Loss: 0.2898
+- Precision: 0.5486
+- Recall: 0.3716
+- F1: 0.4431
+- Accuracy: 0.9465
 
 ## 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  | 0.2830          | 0.6282    | 0.2725 | 0.3801 | 0.9404   |
-| No log        | 2.0   | 426  | 0.2657          | 0.5408    | 0.3133 | 0.3967 | 0.9427   |
-| 0.178         | 3.0   | 639  | 0.2892          | 0.5566    | 0.3281 | 0.4128 | 0.9448   |
-| 0.178         | 4.0   | 852  | 0.2948          | 0.5483    | 0.3522 | 0.4289 | 0.9456   |
-| 0.0505        | 5.0   | 1065 | 0.2953          | 0.5219    | 0.3652 | 0.4297 | 0.9454   |
+| 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   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:a9e82e2aead9ac9598f29d0f71f74c19d88f7fc9a631c93a4e53ae00da08a6f6
 size 265503852