update model card README.md

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.22
+      value: 0.499
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,8 +32,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on the yelp_review_full dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.6089
-- Accuracy: 0.22
+- Loss: 1.1692
+- Accuracy: 0.499
 
 ## Model description
 
@@ -56,6 +56,8 @@ The following hyperparameters were used during training:
 - train_batch_size: 1
 - eval_batch_size: 8
 - seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 4
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - num_epochs: 3.0
@@ -64,9 +66,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 1.6639        | 1.0   | 1000 | 1.6370          | 0.166    |
-| 1.6549        | 2.0   | 2000 | 1.6164          | 0.22     |
-| 1.6264        | 3.0   | 3000 | 1.6089          | 0.22     |
+| No log        | 1.0   | 250  | 1.4265          | 0.391    |
+| 1.4806        | 2.0   | 500  | 1.2233          | 0.458    |
+| 1.4806        | 3.0   | 750  | 1.1692          | 0.499    |
 
 
 ### Framework versions