update model card README.md

README.md

@@ -15,11 +15,6 @@ should probably proofread and complete it, then remove this comment. -->
 # led-base-16384-finetuned-big_patent
 
 This model is a fine-tuned version of [allenai/led-base-16384](https://huggingface.co/allenai/led-base-16384) on the big_patent dataset.
-It achieves the following results on the evaluation set:
-- Loss: 2.5094
-- Rouge2 Precision: 0.128
-- Rouge2 Recall: 0.1325
-- Rouge2 Fmeasure: 0.125
 
 ## Model description
 
@@ -39,11 +34,11 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 5e-05
-- train_batch_size: 2
-- eval_batch_size: 2
+- train_batch_size: 1
+- eval_batch_size: 1
 - seed: 42
 - gradient_accumulation_steps: 4
-- total_train_batch_size: 8
+- total_train_batch_size: 4
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - num_epochs: 1
@@ -51,15 +46,11 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Rouge2 Precision | Rouge2 Recall | Rouge2 Fmeasure |
-|:-------------:|:-----:|:----:|:---------------:|:----------------:|:-------------:|:---------------:|
-| 2.6657        | 0.4   | 500  | 2.6048          | 0.1211           | 0.131         | 0.121           |
-| 2.6099        | 0.8   | 1000 | 2.5094          | 0.128            | 0.1325        | 0.125           |
 
 
 ### Framework versions
 
-- Transformers 4.19.3
+- Transformers 4.19.4
 - Pytorch 1.11.0+cu113
 - Datasets 2.2.2
 - Tokenizers 0.12.1