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: 0.2254
-- Precision: 0.6447
-- Recall: 0.6716
-- F1: 0.6579
-- Accuracy: 0.9475
+- Loss: 0.2169
+- Precision: 0.6576
+- Recall: 0.6851
+- F1: 0.6711
+- Accuracy: 0.9489
 
 ## Model description
 
@@ -55,16 +55,16 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| No log        | 1.0   | 282  | 0.2896          | 0.4849    | 0.4567 | 0.4704 | 0.9207   |
-| 0.3471        | 2.0   | 564  | 0.2266          | 0.5677    | 0.5821 | 0.5748 | 0.9348   |
-| 0.3471        | 3.0   | 846  | 0.2240          | 0.5925    | 0.6164 | 0.6042 | 0.9377   |
-| 0.1655        | 4.0   | 1128 | 0.2015          | 0.6455    | 0.6522 | 0.6488 | 0.9478   |
-| 0.1655        | 5.0   | 1410 | 0.2017          | 0.6431    | 0.6776 | 0.6599 | 0.9485   |
-| 0.1072        | 6.0   | 1692 | 0.2095          | 0.6164    | 0.6522 | 0.6338 | 0.9455   |
-| 0.1072        | 7.0   | 1974 | 0.2086          | 0.6556    | 0.6791 | 0.6672 | 0.9495   |
-| 0.0758        | 8.0   | 2256 | 0.2278          | 0.6322    | 0.6672 | 0.6492 | 0.9466   |
-| 0.0529        | 9.0   | 2538 | 0.2226          | 0.6429    | 0.6716 | 0.6569 | 0.9480   |
-| 0.0529        | 10.0  | 2820 | 0.2254          | 0.6447    | 0.6716 | 0.6579 | 0.9475   |
+| No log        | 1.0   | 282  | 0.2950          | 0.4796    | 0.4388 | 0.4583 | 0.9183   |
+| 0.3687        | 2.0   | 564  | 0.2216          | 0.5693    | 0.5821 | 0.5756 | 0.9362   |
+| 0.3687        | 3.0   | 846  | 0.2170          | 0.5850    | 0.6060 | 0.5953 | 0.9373   |
+| 0.1701        | 4.0   | 1128 | 0.1990          | 0.6352    | 0.6522 | 0.6436 | 0.9464   |
+| 0.1701        | 5.0   | 1410 | 0.1978          | 0.6558    | 0.6910 | 0.6730 | 0.9481   |
+| 0.1123        | 6.0   | 1692 | 0.1998          | 0.6378    | 0.6701 | 0.6536 | 0.9495   |
+| 0.1123        | 7.0   | 1974 | 0.2112          | 0.6643    | 0.6851 | 0.6745 | 0.9490   |
+| 0.0809        | 8.0   | 2256 | 0.2153          | 0.6571    | 0.6806 | 0.6686 | 0.9480   |
+| 0.0572        | 9.0   | 2538 | 0.2133          | 0.6647    | 0.6836 | 0.6740 | 0.9502   |
+| 0.0572        | 10.0  | 2820 | 0.2169          | 0.6576    | 0.6851 | 0.6711 | 0.9489   |
 
 
 ### Framework versions

model.safetensors

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runs/Oct06_22-25-54_4c3ce538ab27/events.out.tfevents.1728253573.4c3ce538ab27.34.0

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