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-base-multilingual-cased](https://huggingface.co/distilbert-base-multilingual-cased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2337
-- Accuracy: 0.8972
-- F1: 0.8892
-- Precision: 0.9345
-- Recall: 0.848
+- Loss: 0.0016
+- Accuracy: 0.9994
+- F1: 0.9994
+- Precision: 1.0
+- Recall: 0.9989
 
 ## Model description
 
@@ -56,11 +56,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Precision | Recall |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
-| 0.4157        | 1.0   | 506  | 0.2809          | 0.8789   | 0.8728 | 0.8915    | 0.8549 |
-| 0.2653        | 2.0   | 1012 | 0.2862          | 0.87     | 0.8675 | 0.8597    | 0.8754 |
-| 0.2374        | 3.0   | 1518 | 0.2337          | 0.8972   | 0.8892 | 0.9345    | 0.848  |
-| 0.2209        | 4.0   | 2024 | 0.2392          | 0.8933   | 0.8857 | 0.9242    | 0.8503 |
-| 0.2086        | 5.0   | 2530 | 0.2499          | 0.8906   | 0.8835 | 0.9154    | 0.8537 |
+| 0.1615        | 1.0   | 506  | 0.0043          | 0.9983   | 0.9983 | 0.9967    | 1.0    |
+| 0.0091        | 2.0   | 1012 | 0.0026          | 0.9989   | 0.9989 | 0.9978    | 1.0    |
+| 0.0056        | 3.0   | 1518 | 0.0016          | 0.9994   | 0.9994 | 1.0       | 0.9989 |
+| 0.0041        | 4.0   | 2024 | 0.0062          | 0.9994   | 0.9994 | 1.0       | 0.9989 |
+| 0.0021        | 5.0   | 2530 | 0.0060          | 0.9989   | 0.9989 | 0.9989    | 0.9989 |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:efb50ab7b027a75b8503bd7d0b6fc2fb65ce9cb0fca956c125bee6d422695263
 size 541323512