update model card README.md

README.md

@@ -19,7 +19,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.8291284403669725
+      value: 0.8486238532110092
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -29,8 +29,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [google/canine-c](https://huggingface.co/google/canine-c) on the glue dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6742
-- Accuracy: 0.8291
+- Loss: 0.6025
+- Accuracy: 0.8486
 
 ## Model description
 
@@ -49,23 +49,22 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 2e-05
-- train_batch_size: 16
+- learning_rate: 4.9121586874695155e-05
+- train_batch_size: 32
 - eval_batch_size: 16
-- seed: 42
+- seed: 8
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 5
+- num_epochs: 4
 
 ### Training results
 
-| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
-|:-------------:|:-----:|:-----:|:---------------:|:--------:|
-| 0.3706        | 1.0   | 4210  | 0.4550          | 0.8142   |
-| 0.2491        | 2.0   | 8420  | 0.4937          | 0.8280   |
-| 0.191         | 3.0   | 12630 | 0.6742          | 0.8291   |
-| 0.1527        | 4.0   | 16840 | 0.7620          | 0.8211   |
-| 0.1082        | 5.0   | 21050 | 0.8245          | 0.8234   |
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.3415        | 1.0   | 2105 | 0.4196          | 0.8280   |
+| 0.2265        | 2.0   | 4210 | 0.4924          | 0.8211   |
+| 0.1439        | 3.0   | 6315 | 0.5726          | 0.8337   |
+| 0.0974        | 4.0   | 8420 | 0.6025          | 0.8486   |
 
 
 ### Framework versions