End of training

README.md

@@ -6,19 +6,19 @@ tags:
 metrics:
 - accuracy
 model-index:
-- name: test_model
+- name: MPNetForClassification
   results: []
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 should probably proofread and complete it, then remove this comment. -->
 
-# test_model
+# MPNetForClassification
 
 This model is a fine-tuned version of [sentence-transformers/all-mpnet-base-v2](https://huggingface.co/sentence-transformers/all-mpnet-base-v2) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3516
-- Accuracy: 0.835
+- Loss: 0.3586
+- Accuracy: 0.842
 
 ## Model description
 
@@ -49,8 +49,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.5267        | 1.0   | 625  | 0.3834          | 0.831    |
-| 0.3957        | 2.0   | 1250 | 0.3516          | 0.835    |
+| 0.5243        | 1.0   | 625  | 0.3859          | 0.825    |
+| 0.3944        | 2.0   | 1250 | 0.3586          | 0.842    |
 
 
 ### Framework versions