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 [bert-base-german-cased](https://huggingface.co/bert-base-german-cased) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.5740
+- Loss: 0.4272
 - Precision: 1.0
 - Recall: 1.0
 - F1: 1.0
-- Accuracy: 0.7979
+- Accuracy: 0.8575
 
 ## 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   | 175  | 0.6167          | 1.0       | 1.0    | 1.0 | 0.7589   |
-| No log        | 2.0   | 350  | 0.5740          | 1.0       | 1.0    | 1.0 | 0.7979   |
-| 0.5186        | 3.0   | 525  | 0.8370          | 1.0       | 1.0    | 1.0 | 0.7719   |
-| 0.5186        | 4.0   | 700  | 0.7648          | 1.0       | 1.0    | 1.0 | 0.8153   |
-| 0.5186        | 5.0   | 875  | 0.7703          | 1.0       | 1.0    | 1.0 | 0.7988   |
-| 0.1581        | 6.0   | 1050 | 0.8545          | 1.0       | 1.0    | 1.0 | 0.8092   |
-| 0.1581        | 7.0   | 1225 | 0.9456          | 1.0       | 1.0    | 1.0 | 0.8057   |
-| 0.1581        | 8.0   | 1400 | 1.0018          | 1.0       | 1.0    | 1.0 | 0.8031   |
-| 0.0573        | 9.0   | 1575 | 1.0635          | 1.0       | 1.0    | 1.0 | 0.8066   |
-| 0.0573        | 10.0  | 1750 | 1.0481          | 1.0       | 1.0    | 1.0 | 0.8066   |
+| No log        | 1.0   | 150  | 0.4852          | 1.0       | 1.0    | 1.0 | 0.8099   |
+| No log        | 2.0   | 300  | 0.4305          | 1.0       | 1.0    | 1.0 | 0.8499   |
+| No log        | 3.0   | 450  | 0.4272          | 1.0       | 1.0    | 1.0 | 0.8575   |
+| 0.4985        | 4.0   | 600  | 0.4776          | 1.0       | 1.0    | 1.0 | 0.8510   |
+| 0.4985        | 5.0   | 750  | 0.5090          | 1.0       | 1.0    | 1.0 | 0.8629   |
+| 0.4985        | 6.0   | 900  | 0.5940          | 1.0       | 1.0    | 1.0 | 0.8521   |
+| 0.1257        | 7.0   | 1050 | 0.5592          | 1.0       | 1.0    | 1.0 | 0.8618   |
+| 0.1257        | 8.0   | 1200 | 0.6132          | 1.0       | 1.0    | 1.0 | 0.8521   |
+| 0.1257        | 9.0   | 1350 | 0.6580          | 1.0       | 1.0    | 1.0 | 0.8639   |
+| 0.0448        | 10.0  | 1500 | 0.6727          | 1.0       | 1.0    | 1.0 | 0.8629   |
 
 
 ### Framework versions

model.safetensors

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runs/Jul12_12-22-54_6c6a8daafeaa/events.out.tfevents.1720786980.6c6a8daafeaa.755.0

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runs/Jul12_12-22-54_6c6a8daafeaa/events.out.tfevents.1720787399.6c6a8daafeaa.755.1

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