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: 0.3975
+- Loss: 0.4205
 - Precision: 1.0
 - Recall: 1.0
 - F1: 1.0
-- Accuracy: 0.8558
+- Accuracy: 0.8701
 
 ## 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   | 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   |
+| No log        | 1.0   | 176  | 0.4639          | 1.0       | 1.0    | 1.0 | 0.8508   |
+| No log        | 2.0   | 352  | 0.4341          | 1.0       | 1.0    | 1.0 | 0.8516   |
+| 0.5006        | 3.0   | 528  | 0.4205          | 1.0       | 1.0    | 1.0 | 0.8701   |
+| 0.5006        | 4.0   | 704  | 0.4621          | 1.0       | 1.0    | 1.0 | 0.8634   |
+| 0.5006        | 5.0   | 880  | 0.5245          | 1.0       | 1.0    | 1.0 | 0.8575   |
+| 0.1479        | 6.0   | 1056 | 0.6064          | 1.0       | 1.0    | 1.0 | 0.8592   |
+| 0.1479        | 7.0   | 1232 | 0.6210          | 1.0       | 1.0    | 1.0 | 0.8743   |
+| 0.1479        | 8.0   | 1408 | 0.6265          | 1.0       | 1.0    | 1.0 | 0.8701   |
+| 0.055         | 9.0   | 1584 | 0.6677          | 1.0       | 1.0    | 1.0 | 0.8734   |
+| 0.055         | 10.0  | 1760 | 0.6762          | 1.0       | 1.0    | 1.0 | 0.8734   |
 
 
 ### Framework versions

model.safetensors

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runs/Jul11_19-59-39_af75c384ca00/events.out.tfevents.1720727986.af75c384ca00.566.0

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+size 10870

runs/Jul11_19-59-39_af75c384ca00/events.out.tfevents.1720728417.af75c384ca00.566.1

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+size 560