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: 1.2682
-- Accuracy: 0.9209
+- Loss: 0.6650
+- Accuracy: 0.8977
 
 ## Model description
 
@@ -37,22 +37,21 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 2e-05
+- learning_rate: 0.0002
 - train_batch_size: 8
 - eval_batch_size: 8
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- lr_scheduler_warmup_steps: 500
-- num_epochs: 3
+- lr_scheduler_warmup_steps: 50
+- num_epochs: 2
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.685         | 1.0   | 216  | 0.6022          | 0.8326   |
-| 0.9298        | 2.0   | 432  | 1.1008          | 0.9070   |
-| 0.4467        | 3.0   | 648  | 1.2682          | 0.9209   |
+| 0.863         | 1.0   | 216  | 0.6858          | 0.8977   |
+| 0.7632        | 2.0   | 432  | 0.6650          | 0.8977   |
 
 
 ### Framework versions

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:4b8a2e8242b40fb4d52598fc51fb55789b47892d29d83c4ed8b73fc2d68efc45
 size 436400366