update model card README.md

README.md

@@ -5,12 +5,6 @@ tags:
 model-index:
 - name: distilbert-base-german-cased-finetuned-amazon-reviews
   results: []
-datasets:
-- amazon_reviews_multi
-language:
-- de
-metrics:
-- perplexity
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -18,10 +12,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 # distilbert-base-german-cased-finetuned-amazon-reviews
 
-This model is a fine-tuned version of [distilbert-base-german-cased](https://huggingface.co/distilbert-base-german-cased) on the amazon_reviews_multilingual dataset.
+This model is a fine-tuned version of [distilbert-base-german-cased](https://huggingface.co/distilbert-base-german-cased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 4.1730
-- Perplexity: 64.91
+- Loss: 3.8874
 
 ## Model description
 
@@ -46,19 +39,26 @@ 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: 3.0
+- num_epochs: 10
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| 4.6237        | 1.0   | 141  | 4.2865          |
-| 4.3481        | 2.0   | 282  | 4.1764          |
-| 4.2705        | 3.0   | 423  | 4.1883          |
+| 4.625         | 1.0   | 141  | 4.2747          |
+| 4.3013        | 2.0   | 282  | 4.1549          |
+| 4.1841        | 3.0   | 423  | 4.0902          |
+| 4.1208        | 4.0   | 564  | 3.9958          |
+| 4.0475        | 5.0   | 705  | 3.9710          |
+| 4.0116        | 6.0   | 846  | 3.9100          |
+| 3.9988        | 7.0   | 987  | 3.9194          |
+| 3.9641        | 8.0   | 1128 | 3.9381          |
+| 3.9661        | 9.0   | 1269 | 3.8631          |
+| 3.944         | 10.0  | 1410 | 3.8668          |
 
 
 ### Framework versions
 
 - Transformers 4.26.1
 - Pytorch 1.13.1+cu116
-- Tokenizers 0.13.2
+- Tokenizers 0.13.2