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/distilroberta-base](https://huggingface.co/distilbert/distilroberta-base) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1882
-- Precision: 0.6628
+- Loss: 0.2053
+- Precision: 0.6638
 - Recall: 0.6836
-- F1: 0.6730
-- Accuracy: 0.9512
+- F1: 0.6735
+- Accuracy: 0.9498
 
 ## Model description
 
@@ -49,19 +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  | 0.2799          | 0.4758    | 0.4403 | 0.4574 | 0.9202   |
-| 0.3348        | 2.0   | 564  | 0.2225          | 0.5810    | 0.5940 | 0.5875 | 0.9396   |
-| 0.3348        | 3.0   | 846  | 0.2105          | 0.6015    | 0.6149 | 0.6081 | 0.9389   |
-| 0.1571        | 4.0   | 1128 | 0.1979          | 0.6732    | 0.6642 | 0.6687 | 0.9534   |
-| 0.1571        | 5.0   | 1410 | 0.1882          | 0.6628    | 0.6836 | 0.6730 | 0.9512   |
-| 0.0948        | 6.0   | 1692 | 0.2099          | 0.6196    | 0.6612 | 0.6397 | 0.9495   |
-| 0.0948        | 7.0   | 1974 | 0.2251          | 0.6900    | 0.6776 | 0.6837 | 0.9540   |
+| No log        | 1.0   | 282  | 0.2811          | 0.4809    | 0.4896 | 0.4852 | 0.9235   |
+| 0.3394        | 2.0   | 564  | 0.2218          | 0.5679    | 0.5866 | 0.5771 | 0.9377   |
+| 0.3394        | 3.0   | 846  | 0.2205          | 0.5708    | 0.5776 | 0.5742 | 0.9347   |
+| 0.1635        | 4.0   | 1128 | 0.2027          | 0.6290    | 0.6478 | 0.6382 | 0.9469   |
+| 0.1635        | 5.0   | 1410 | 0.1895          | 0.6542    | 0.6806 | 0.6672 | 0.9504   |
+| 0.106         | 6.0   | 1692 | 0.2055          | 0.6334    | 0.6448 | 0.6391 | 0.9470   |
+| 0.106         | 7.0   | 1974 | 0.1992          | 0.6328    | 0.6687 | 0.6502 | 0.9502   |
+| 0.0744        | 8.0   | 2256 | 0.2051          | 0.6804    | 0.6925 | 0.6864 | 0.9513   |
+| 0.0522        | 9.0   | 2538 | 0.1998          | 0.6745    | 0.6866 | 0.6805 | 0.9502   |
+| 0.0522        | 10.0  | 2820 | 0.2053          | 0.6638    | 0.6836 | 0.6735 | 0.9498   |
 
 
 ### Framework versions

model.safetensors

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