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: 0.9186
+- Loss: 0.3975
 - Precision: 1.0
 - Recall: 1.0
 - F1: 1.0
-- Accuracy: 0.8204
+- Accuracy: 0.8558
 
 ## 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   | 186  | 0.6008          | 1.0       | 1.0    | 1.0 | 0.7717   |
-| No log        | 2.0   | 372  | 0.6171          | 1.0       | 1.0    | 1.0 | 0.7769   |
-| 0.5002        | 3.0   | 558  | 0.7414          | 1.0       | 1.0    | 1.0 | 0.7893   |
-| 0.5002        | 4.0   | 744  | 0.6137          | 1.0       | 1.0    | 1.0 | 0.8034   |
-| 0.5002        | 5.0   | 930  | 0.7142          | 1.0       | 1.0    | 1.0 | 0.8126   |
-| 0.1508        | 6.0   | 1116 | 0.7795          | 1.0       | 1.0    | 1.0 | 0.8109   |
-| 0.1508        | 7.0   | 1302 | 0.8183          | 1.0       | 1.0    | 1.0 | 0.8191   |
-| 0.1508        | 8.0   | 1488 | 0.8520          | 1.0       | 1.0    | 1.0 | 0.8178   |
-| 0.0556        | 9.0   | 1674 | 0.9022          | 1.0       | 1.0    | 1.0 | 0.8191   |
-| 0.0556        | 10.0  | 1860 | 0.9186          | 1.0       | 1.0    | 1.0 | 0.8204   |
+| No log        | 1.0   | 176  | 0.4752          | 1.0       | 1.0    | 1.0 | 0.8357   |
+| No log        | 2.0   | 352  | 0.3975          | 1.0       | 1.0    | 1.0 | 0.8558   |
+| 0.5076        | 3.0   | 528  | 0.4117          | 1.0       | 1.0    | 1.0 | 0.8776   |
+| 0.5076        | 4.0   | 704  | 0.4228          | 1.0       | 1.0    | 1.0 | 0.8718   |
+| 0.5076        | 5.0   | 880  | 0.5215          | 1.0       | 1.0    | 1.0 | 0.8650   |
+| 0.1496        | 6.0   | 1056 | 0.5095          | 1.0       | 1.0    | 1.0 | 0.8743   |
+| 0.1496        | 7.0   | 1232 | 0.6050          | 1.0       | 1.0    | 1.0 | 0.8709   |
+| 0.1496        | 8.0   | 1408 | 0.5949          | 1.0       | 1.0    | 1.0 | 0.8759   |
+| 0.0557        | 9.0   | 1584 | 0.6324          | 1.0       | 1.0    | 1.0 | 0.8743   |
+| 0.0557        | 10.0  | 1760 | 0.6473          | 1.0       | 1.0    | 1.0 | 0.8768   |
 
 
 ### Framework versions

model.safetensors

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 size 434017112

runs/Jul11_19-15-14_bc8b18650109/events.out.tfevents.1720725317.bc8b18650109.344.2

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+size 10870

runs/Jul11_19-15-14_bc8b18650109/events.out.tfevents.1720725930.bc8b18650109.344.3

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