Finished training.

README.md

@@ -22,7 +22,7 @@ model-index:
       args: default
     metrics:
     - type: accuracy
-      value: 0.9369736842105263
+      value: 0.9380263157894737
       name: accuracy
 ---
 
@@ -33,7 +33,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [vinai/bertweet-base](https://huggingface.co/vinai/bertweet-base) on the ag_news dataset.
 It achieves the following results on the evaluation set:
-- accuracy: 0.9370
+- accuracy: 0.9380
 
 ## Model description
 
@@ -64,11 +64,11 @@ The following hyperparameters were used during training:
 
 | accuracy | train_loss | epoch |
 |:--------:|:----------:|:-----:|
-| 0.25     | None       | 0     |
-| 0.9249   | 0.2695     | 0     |
-| 0.9325   | 0.2078     | 1     |
-| 0.9366   | 0.1885     | 2     |
-| 0.9370   | 0.1766     | 3     |
+| 0.2667   | None       | 0     |
+| 0.9268   | 0.2714     | 0     |
+| 0.9329   | 0.2078     | 1     |
+| 0.9367   | 0.1874     | 2     |
+| 0.9380   | 0.1776     | 3     |
 
 
 ### Framework versions

adapter_config.json

@@ -19,8 +19,8 @@
   "rank_pattern": {},
   "revision": null,
   "target_modules": [
-    "query",
-    "value"
+    "value",
+    "query"
   ],
   "task_type": "SEQ_CLS",
   "use_rslora": false

adapter_model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:37d77eb6f6cc01a38fe0b60841b5e9c31642e1a72e26e2345927eefcd3cb3648
+oid sha256:a70616937ceeb6d60e36b47c0f4a8cac087e4a5b7b6e513fd28323be4aff8a05
 size 2529464