Finished training.

README.md

@@ -22,7 +22,7 @@ model-index:
       args: default
     metrics:
     - type: accuracy
-      value: 0.9186842105263158
+      value: 0.9211842105263158
       name: accuracy
 ---
 
@@ -33,7 +33,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [aviator-neural/bert-base-uncased-sst2](https://huggingface.co/aviator-neural/bert-base-uncased-sst2) on the ag_news dataset.
 It achieves the following results on the evaluation set:
-- accuracy: 0.9187
+- accuracy: 0.9212
 
 ## Model description
 
@@ -64,11 +64,11 @@ The following hyperparameters were used during training:
 
 | accuracy | train_loss | epoch |
 |:--------:|:----------:|:-----:|
-| 0.2503   | None       | 0     |
-| 0.9042   | 0.3573     | 0     |
-| 0.915    | 0.2614     | 1     |
-| 0.9184   | 0.2370     | 2     |
-| 0.9187   | 0.2234     | 3     |
+| 0.2080   | None       | 0     |
+| 0.9071   | 0.3455     | 0     |
+| 0.9167   | 0.2519     | 1     |
+| 0.9195   | 0.2292     | 2     |
+| 0.9212   | 0.2161     | 3     |
 
 
 ### Framework versions

adapter_model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:e87f64f75abbfa3899b99da423410e349775834ad9022b8d2bd716bc57e4a8f1
+oid sha256:0a7e0a1d80703ecbada4dd0d640333410ac82c9a77c8f73fcccead55154716e8
 size 166552