End of training

README.md

@@ -20,11 +20,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [distilbert/distilbert-base-multilingual-cased](https://huggingface.co/distilbert/distilbert-base-multilingual-cased) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1542
-- Precision: 0.7194
-- Recall: 0.7552
-- F1: 0.7368
-- Accuracy: 0.9581
+- Loss: 0.1929
+- Precision: 0.7319
+- Recall: 0.7531
+- F1: 0.7423
+- Accuracy: 0.9587
 
 ## Model description
 
@@ -49,17 +49,22 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 100
+- num_epochs: 10
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| No log        | 1.0   | 282  | 0.2149          | 0.5728    | 0.6286 | 0.5994 | 0.9415   |
-| 0.2791        | 2.0   | 564  | 0.1642          | 0.6870    | 0.7012 | 0.6940 | 0.9539   |
-| 0.2791        | 3.0   | 846  | 0.1542          | 0.7194    | 0.7552 | 0.7368 | 0.9581   |
-| 0.0862        | 4.0   | 1128 | 0.1672          | 0.7454    | 0.7593 | 0.7523 | 0.9600   |
-| 0.0862        | 5.0   | 1410 | 0.1857          | 0.7235    | 0.7656 | 0.7440 | 0.9552   |
+| No log        | 1.0   | 282  | 0.2132          | 0.5566    | 0.6224 | 0.5877 | 0.9403   |
+| 0.28          | 2.0   | 564  | 0.1715          | 0.6793    | 0.7075 | 0.6931 | 0.9533   |
+| 0.28          | 3.0   | 846  | 0.1507          | 0.7101    | 0.7469 | 0.7280 | 0.9586   |
+| 0.0882        | 4.0   | 1128 | 0.1662          | 0.7368    | 0.7261 | 0.7315 | 0.9568   |
+| 0.0882        | 5.0   | 1410 | 0.1718          | 0.7387    | 0.7448 | 0.7417 | 0.9579   |
+| 0.0386        | 6.0   | 1692 | 0.1823          | 0.7078    | 0.7490 | 0.7278 | 0.9576   |
+| 0.0386        | 7.0   | 1974 | 0.1969          | 0.7206    | 0.7490 | 0.7345 | 0.9574   |
+| 0.0187        | 8.0   | 2256 | 0.1816          | 0.7349    | 0.7593 | 0.7469 | 0.9589   |
+| 0.0101        | 9.0   | 2538 | 0.1928          | 0.7363    | 0.7531 | 0.7446 | 0.9584   |
+| 0.0101        | 10.0  | 2820 | 0.1929          | 0.7319    | 0.7531 | 0.7423 | 0.9587   |
 
 
 ### Framework versions

model.safetensors

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