update model card README.md

README.md

@@ -15,13 +15,11 @@ model-index:
     dataset:
       name: sst2
       type: sst2
-      config: default
-      split: validation
       args: default
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.7883333333333333
+      value: 0.7916666666666666
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -31,8 +29,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [prajjwal1/bert-tiny](https://huggingface.co/prajjwal1/bert-tiny) on the sst2 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.5579
-- Accuracy: 0.7883
+- Loss: 0.5457
+- Accuracy: 0.7917
 
 ## Model description
 
@@ -63,14 +61,14 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.5178        | 1.0   | 1500 | 0.4748          | 0.7817   |
-| 0.3797        | 2.0   | 3000 | 0.5265          | 0.7833   |
-| 0.3345        | 3.0   | 4500 | 0.5579          | 0.7883   |
+| 0.5174        | 1.0   | 1500 | 0.4787          | 0.765    |
+| 0.379         | 2.0   | 3000 | 0.5247          | 0.7867   |
+| 0.3362        | 3.0   | 4500 | 0.5457          | 0.7917   |
 
 
 ### Framework versions
 
-- Transformers 4.30.2
-- Pytorch 2.0.1+cu117
-- Datasets 2.13.1
-- Tokenizers 0.13.3
+- Transformers 4.18.0
+- Pytorch 1.8.1
+- Datasets 2.12.0
+- Tokenizers 0.12.1