Finished training.

README.md

@@ -22,7 +22,7 @@ model-index:
       args: default
     metrics:
     - type: accuracy
-      value: 0.9005263157894737
+      value: 0.9034210526315789
       name: accuracy
 ---
 
@@ -33,7 +33,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [18811449050/bert_finetuning_test](https://huggingface.co/18811449050/bert_finetuning_test) on the ag_news dataset.
 It achieves the following results on the evaluation set:
-- accuracy: 0.9005
+- accuracy: 0.9034
 
 ## Model description
 
@@ -64,11 +64,11 @@ The following hyperparameters were used during training:
 
 | accuracy | train_loss | epoch |
 |:--------:|:----------:|:-----:|
-| 0.25     | None       | 0     |
-| 0.8887   | 0.3879     | 0     |
-| 0.8947   | 0.3073     | 1     |
-| 0.9008   | 0.2846     | 2     |
-| 0.9005   | 0.2712     | 3     |
+| 0.2489   | None       | 0     |
+| 0.8825   | 0.3897     | 0     |
+| 0.8961   | 0.3104     | 1     |
+| 0.9024   | 0.2873     | 2     |
+| 0.9034   | 0.2741     | 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:cf63d4779546ff2eaed879949c8523d01dba161a817894d1dbdd214e3233c763
+oid sha256:1c99ff79b3441b2196157b5bdcf0560cf6d908571850c0fef201ba7eb191b0db
 size 166552