update model card README.md

README.md

@@ -16,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the adversarial_qa dataset.
 It achieves the following results on the evaluation set:
-- Loss: 3.9088
+- Loss: 3.6462
 
 ## Model description
 
@@ -41,13 +41,13 @@ 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
-- training_steps: 1000
+- training_steps: 3000
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| 3.9391        | 0.06  | 1000 | 3.9088          |
+| 3.6424        | 0.18  | 3000 | 3.6462          |
 
 
 ### Framework versions