Finished training.

README.md

@@ -22,7 +22,7 @@ model-index:
       args: default
     metrics:
     - type: accuracy
-      value: 0.9305263157894736
+      value: 0.9315789473684211
       name: accuracy
 ---
 
@@ -33,7 +33,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [connectivity/cola_6ep_ft-10](https://huggingface.co/connectivity/cola_6ep_ft-10) on the ag_news dataset.
 It achieves the following results on the evaluation set:
-- accuracy: 0.9305
+- accuracy: 0.9316
 
 ## Model description
 
@@ -64,11 +64,11 @@ The following hyperparameters were used during training:
 
 | accuracy | train_loss | epoch |
 |:--------:|:----------:|:-----:|
-| 0.2492   | None       | 0     |
-| 0.9217   | 0.2902     | 0     |
-| 0.9257   | 0.2149     | 1     |
-| 0.9304   | 0.1983     | 2     |
-| 0.9305   | 0.1879     | 3     |
+| 0.2713   | None       | 0     |
+| 0.9184   | 0.3023     | 0     |
+| 0.9267   | 0.2222     | 1     |
+| 0.9313   | 0.2012     | 2     |
+| 0.9316   | 0.1915     | 3     |
 
 
 ### Framework versions

adapter_config.json

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

adapter_model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:941e10f4cc983de9feff2998415c5450318d896d11adfc5c5b08442b2eeb1a0b
+oid sha256:996f1ba4978f3b7563846084aa291b9b354eef1619f698b35fb48f04be3c056f
 size 166552