update model card README.md

README.md

@@ -13,9 +13,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 # reformer-finetuned-big_patent-16384
 
-This model is a fine-tuned version of [google/reformer-crime-and-punishment](https://huggingface.co/google/reformer-crime-and-punishment) on the big_patent dataset.
+This model is a fine-tuned version of [robingeibel/reformer-finetuned-big_patent-16384](https://huggingface.co/robingeibel/reformer-finetuned-big_patent-16384) on the big_patent dataset.
 It achieves the following results on the evaluation set:
-- Loss: 4.2238
+- Loss: 5.9716
 
 ## Model description
 
@@ -35,8 +35,8 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 2e-05
-- train_batch_size: 64
-- eval_batch_size: 64
+- 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
@@ -45,16 +45,16 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step  | Validation Loss |
-|:-------------:|:-----:|:-----:|:---------------:|
-| 4.2727        | 1.0   | 17979 | 4.2608          |
-| 4.2425        | 2.0   | 35958 | 4.2382          |
-| 4.2341        | 3.0   | 53937 | 4.2238          |
+| Training Loss | Epoch | Step   | Validation Loss |
+|:-------------:|:-----:|:------:|:---------------:|
+| 6.128         | 1.0   | 53286  | 6.1051          |
+| 5.9909        | 2.0   | 106572 | 5.9874          |
+| 5.9542        | 3.0   | 159858 | 5.9716          |
 
 
 ### Framework versions
 
 - Transformers 4.20.1
-- Pytorch 1.12.0+cu102
+- Pytorch 1.12.0+cu113
 - Datasets 2.3.2
 - Tokenizers 0.12.1