Finished training.

README.md

@@ -23,7 +23,7 @@ model-index:
       args: default
     metrics:
     - type: accuracy
-      value: 0.9402631578947368
+      value: 0.9397368421052632
       name: accuracy
 ---
 
@@ -34,7 +34,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [jaesun/distilbert-base-uncased-finetuned-cola](https://huggingface.co/jaesun/distilbert-base-uncased-finetuned-cola) on the ag_news dataset.
 It achieves the following results on the evaluation set:
-- accuracy: 0.9403
+- accuracy: 0.9397
 
 ## Model description
 
@@ -65,11 +65,11 @@ The following hyperparameters were used during training:
 
 | accuracy | train_loss | epoch |
 |:--------:|:----------:|:-----:|
-| 0.2159   | None       | 0     |
-| 0.9261   | 0.2639     | 0     |
-| 0.93     | 0.1982     | 1     |
-| 0.9376   | 0.1760     | 2     |
-| 0.9403   | 0.1602     | 3     |
+| 0.2018   | None       | 0     |
+| 0.9253   | 0.2633     | 0     |
+| 0.9299   | 0.1974     | 1     |
+| 0.9370   | 0.1754     | 2     |
+| 0.9397   | 0.1594     | 3     |
 
 
 ### Framework versions

adapter_model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:8bf74a6ffec6b6d78f240404ece15a2844b49e1dc324479fb5f8192323dbdb44
+oid sha256:00e9ae20b9a24c799523b09315c25bcb11ea4eff88272873d816a5f061282c52
 size 2452208