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: 0.1198
-- Precision: 0.8118
-- Recall: 0.8560
-- F1: 0.8333
-- Accuracy: 0.9732
+- Loss: 0.2254
+- Precision: 0.6447
+- Recall: 0.6716
+- F1: 0.6579
+- Accuracy: 0.9475
 
 ## 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   | 276  | 0.2493          | 0.5422    | 0.4216 | 0.4744 | 0.9417   |
-| 0.3195        | 2.0   | 552  | 0.1788          | 0.7273    | 0.7019 | 0.7143 | 0.9602   |
-| 0.3195        | 3.0   | 828  | 0.1485          | 0.7550    | 0.7428 | 0.7488 | 0.9633   |
-| 0.1376        | 4.0   | 1104 | 0.1542          | 0.7092    | 0.7956 | 0.7499 | 0.9619   |
-| 0.1376        | 5.0   | 1380 | 0.1326          | 0.7449    | 0.8135 | 0.7777 | 0.9658   |
-| 0.0887        | 6.0   | 1656 | 0.1152          | 0.8228    | 0.8305 | 0.8266 | 0.9728   |
-| 0.0887        | 7.0   | 1932 | 0.1223          | 0.7721    | 0.8424 | 0.8057 | 0.9692   |
-| 0.0639        | 8.0   | 2208 | 0.1184          | 0.7852    | 0.8501 | 0.8164 | 0.9721   |
-| 0.0639        | 9.0   | 2484 | 0.1184          | 0.8252    | 0.8484 | 0.8366 | 0.9734   |
-| 0.0505        | 10.0  | 2760 | 0.1198          | 0.8118    | 0.8560 | 0.8333 | 0.9732   |
+| 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   |
 
 
 ### Framework versions

model.safetensors

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runs/Oct06_22-11-46_bc646f7a1c2f/events.out.tfevents.1728252725.bc646f7a1c2f.34.0

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