Training Completed

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.9164516129032259
+      value: 0.9187096774193548
 ---
 
 <!-- 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 [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the clinc_oos dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.7725
-- Accuracy: 0.9165
+- Loss: 0.7733
+- Accuracy: 0.9187
 
 ## Model description
 
@@ -64,16 +64,16 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 4.289         | 1.0   | 318  | 3.2763          | 0.7284   |
-| 2.6092        | 2.0   | 636  | 1.8625          | 0.8365   |
-| 1.5331        | 3.0   | 954  | 1.1513          | 0.8984   |
-| 1.0037        | 4.0   | 1272 | 0.8540          | 0.9135   |
-| 0.7916        | 5.0   | 1590 | 0.7725          | 0.9165   |
+| 4.2746        | 1.0   | 318  | 3.2618          | 0.7171   |
+| 2.6008        | 2.0   | 636  | 1.8601          | 0.8352   |
+| 1.532         | 3.0   | 954  | 1.1511          | 0.8952   |
+| 1.005         | 4.0   | 1272 | 0.8543          | 0.9135   |
+| 0.7921        | 5.0   | 1590 | 0.7733          | 0.9187   |
 
 
 ### Framework versions
 
 - Transformers 4.34.1
-- Pytorch 2.1.0+cu118
+- Pytorch 2.0.1
 - Datasets 2.14.5
 - Tokenizers 0.14.1