update model card README.md

README.md

@@ -21,7 +21,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.9170967741935484
+      value: 0.9503225806451613
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -31,8 +31,8 @@ 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 clinc_oos dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.7775
-- Accuracy: 0.9171
+- Loss: 0.2339
+- Accuracy: 0.9503
 
 ## Model description
 
@@ -52,8 +52,8 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 2e-05
-- train_batch_size: 48
-- eval_batch_size: 48
+- train_batch_size: 12
+- eval_batch_size: 12
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
@@ -63,16 +63,16 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 4.2882        | 1.0   | 318  | 3.2774          | 0.7394   |
-| 2.6225        | 2.0   | 636  | 1.8737          | 0.8284   |
-| 1.5435        | 3.0   | 954  | 1.1615          | 0.89     |
-| 1.0107        | 4.0   | 1272 | 0.8598          | 0.9090   |
-| 0.7994        | 5.0   | 1590 | 0.7775          | 0.9171   |
+| 3.2073        | 1.0   | 1271 | 1.3840          | 0.8542   |
+| 0.7452        | 2.0   | 2542 | 0.4053          | 0.9316   |
+| 0.1916        | 3.0   | 3813 | 0.2580          | 0.9452   |
+| 0.0768        | 4.0   | 5084 | 0.2371          | 0.9477   |
+| 0.0455        | 5.0   | 6355 | 0.2339          | 0.9503   |
 
 
 ### Framework versions
 
-- Transformers 4.21.1
-- Pytorch 1.11.0
-- Datasets 2.3.0
+- Transformers 4.21.3
+- Pytorch 1.12.1
+- Datasets 2.4.0
 - Tokenizers 0.12.1