Finished training.

README.md

@@ -22,7 +22,7 @@ model-index:
       args: default
     metrics:
     - type: accuracy
-      value: 0.9281578947368421
+      value: 0.9285526315789474
       name: accuracy
 ---
 
@@ -33,7 +33,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [Jeevesh8/init_bert_ft_qqp-24](https://huggingface.co/Jeevesh8/init_bert_ft_qqp-24) on the ag_news dataset.
 It achieves the following results on the evaluation set:
-- accuracy: 0.9282
+- accuracy: 0.9286
 
 ## Model description
 
@@ -64,11 +64,11 @@ The following hyperparameters were used during training:
 
 | accuracy | train_loss | epoch |
 |:--------:|:----------:|:-----:|
-| 0.2607   | None       | 0     |
-| 0.9153   | 0.3315     | 0     |
-| 0.9221   | 0.2344     | 1     |
-| 0.9272   | 0.2127     | 2     |
-| 0.9282   | 0.2028     | 3     |
+| 0.2534   | None       | 0     |
+| 0.9132   | 0.3540     | 0     |
+| 0.9213   | 0.2371     | 1     |
+| 0.9233   | 0.2128     | 2     |
+| 0.9286   | 0.2018     | 3     |
 
 
 ### Framework versions

adapter_model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:5f93d13df30374e13ca3030d3d18afe9b52cda4679f1f261e52989f4e7ef3cb2
+oid sha256:494ab6aeeeda633a37eaaafb979da34a09b5d2a494d51d84c14c61d82d5caaad
 size 166552