update model card README.md

README.md

@@ -12,9 +12,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 # small-electra-qa
 
-This model is a fine-tuned version of [google/electra-small-discriminator](https://huggingface.co/google/electra-small-discriminator) on the None dataset.
+This model is a fine-tuned version of [vaibhav9/small-electra-qa](https://huggingface.co/vaibhav9/small-electra-qa) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.5064
+- Loss: 1.3868
 
 ## Model description
 
@@ -34,20 +34,18 @@ 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: 32
+- eval_batch_size: 32
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 3
+- num_epochs: 1
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| 3.3111        | 1.0   | 942  | 1.7717          |
-| 1.7472        | 2.0   | 1884 | 1.5491          |
-| 1.5447        | 3.0   | 2826 | 1.5064          |
+| 1.4085        | 1.0   | 1883 | 1.3868          |
 
 
 ### Framework versions