End of training

README.md

@@ -17,8 +17,8 @@ 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: 0.1024
-- Accuracy: 0.9767
+- Loss: 0.1395
+- Accuracy: 0.9840
 
 ## Model description
 
@@ -43,13 +43,17 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 1
+- num_epochs: 5
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Accuracy |
-|:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.0867        | 1.0   | 3609 | 0.1024          | 0.9767   |
+| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|
+| 0.1266        | 1.0   | 3609  | 0.1224          | 0.9703   |
+| 0.0639        | 2.0   | 7218  | 0.1170          | 0.9735   |
+| 0.0437        | 3.0   | 10827 | 0.1230          | 0.9808   |
+| 0.0148        | 4.0   | 14436 | 0.1209          | 0.9832   |
+| 0.0044        | 5.0   | 18045 | 0.1395          | 0.9840   |
 
 
 ### Framework versions

pytorch_model.bin

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 size 436400366

training_args.bin

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 size 4536