End of training

README.md

@@ -19,10 +19,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1597
+- Loss: 0.1449
 - F1: 0.0
 - Roc Auc: 0.5
-- Accuracy: 0.8917
+- Accuracy: 0.8976
 
 ## Model description
 
@@ -47,17 +47,32 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
 - lr_scheduler_type: linear
-- num_epochs: 5
+- num_epochs: 20
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | F1  | Roc Auc | Accuracy |
-|:-------------:|:-----:|:----:|:---------------:|:---:|:-------:|:--------:|
-| No log        | 1.0   | 35   | 0.1597          | 0.0 | 0.5     | 0.8917   |
-| No log        | 2.0   | 70   | 0.1509          | 0.0 | 0.5     | 0.8917   |
-| No log        | 3.0   | 105  | 0.1507          | 0.0 | 0.5     | 0.8917   |
-| No log        | 4.0   | 140  | 0.1506          | 0.0 | 0.5     | 0.8917   |
-| No log        | 5.0   | 175  | 0.1503          | 0.0 | 0.5     | 0.8917   |
+| Training Loss | Epoch | Step  | Validation Loss | F1  | Roc Auc | Accuracy |
+|:-------------:|:-----:|:-----:|:---------------:|:---:|:-------:|:--------:|
+| 0.1509        | 1.0   | 3491  | 0.1449          | 0.0 | 0.5     | 0.8976   |
+| 0.1472        | 2.0   | 6982  | 0.1478          | 0.0 | 0.5     | 0.8976   |
+| 0.1454        | 3.0   | 10473 | 0.1532          | 0.0 | 0.5     | 0.8976   |
+| 0.144         | 4.0   | 13964 | 0.1457          | 0.0 | 0.5     | 0.8976   |
+| 0.1463        | 5.0   | 17455 | 0.1441          | 0.0 | 0.5     | 0.8976   |
+| 0.1427        | 6.0   | 20946 | 0.1463          | 0.0 | 0.5     | 0.8976   |
+| 0.1423        | 7.0   | 24437 | 0.1419          | 0.0 | 0.5     | 0.8976   |
+| 0.143         | 8.0   | 27928 | 0.1428          | 0.0 | 0.5     | 0.8976   |
+| 0.1417        | 9.0   | 31419 | 0.1434          | 0.0 | 0.5     | 0.8976   |
+| 0.1485        | 10.0  | 34910 | 0.1443          | 0.0 | 0.5     | 0.8976   |
+| 0.142         | 11.0  | 38401 | 0.1455          | 0.0 | 0.5     | 0.8976   |
+| 0.1402        | 12.0  | 41892 | 0.1464          | 0.0 | 0.5     | 0.8976   |
+| 0.1417        | 13.0  | 45383 | 0.1423          | 0.0 | 0.5     | 0.8976   |
+| 0.1452        | 14.0  | 48874 | 0.1450          | 0.0 | 0.5     | 0.8976   |
+| 0.1455        | 15.0  | 52365 | 0.1423          | 0.0 | 0.5     | 0.8976   |
+| 0.1355        | 16.0  | 55856 | 0.1422          | 0.0 | 0.5     | 0.8976   |
+| 0.1369        | 17.0  | 59347 | 0.1431          | 0.0 | 0.5     | 0.8976   |
+| 0.1416        | 18.0  | 62838 | 0.1436          | 0.0 | 0.5     | 0.8976   |
+| 0.1387        | 19.0  | 66329 | 0.1418          | 0.0 | 0.5     | 0.8976   |
+| 0.143         | 20.0  | 69820 | 0.1416          | 0.0 | 0.5     | 0.8976   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:462f4927479ae7a893967eb90cca2da34f95c89a6210119c0ca269cfe72a5da9
+oid sha256:4f2313d9d544d252d805101dd7166fe360146d1e88df124bbc85a1951e85e68f
 size 498625128

runs/Dec09_23-31-36_debian/events.out.tfevents.1733854081.debian.1293.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1b3f66a6b87edc35ec9fdad5a448c66b4b7adb24b7cb8e561c12d28262b11eba
+size 468