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: 0.2053
-- Precision: 0.6638
-- Recall: 0.6836
-- F1: 0.6735
-- Accuracy: 0.9498
+- Loss: 0.1198
+- Precision: 0.8118
+- Recall: 0.8560
+- F1: 0.8333
+- Accuracy: 0.9732
 
 ## 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  | 0.2811          | 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   |
+| 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   |
 
 
 ### Framework versions

model.safetensors

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runs/Oct06_21-03-58_17e10cae3f02/events.out.tfevents.1728248658.17e10cae3f02.34.0

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