Finished training.

README.md

@@ -22,7 +22,7 @@ model-index:
       args: default
     metrics:
     - type: accuracy
-      value: 0.9325
+      value: 0.9336842105263158
       name: accuracy
 ---
 
@@ -33,7 +33,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [Splend1dchan/bert-base-uncased-slue-goldtrascription-e3-lr1e-4](https://huggingface.co/Splend1dchan/bert-base-uncased-slue-goldtrascription-e3-lr1e-4) on the ag_news dataset.
 It achieves the following results on the evaluation set:
-- accuracy: 0.9325
+- accuracy: 0.9337
 
 ## Model description
 
@@ -64,11 +64,11 @@ The following hyperparameters were used during training:
 
 | accuracy | train_loss | epoch |
 |:--------:|:----------:|:-----:|
-| 0.2228   | None       | 0     |
-| 0.9201   | 0.3059     | 0     |
-| 0.9262   | 0.2246     | 1     |
-| 0.9314   | 0.2054     | 2     |
-| 0.9325   | 0.1944     | 3     |
+| 0.1866   | None       | 0     |
+| 0.9207   | 0.3037     | 0     |
+| 0.9275   | 0.2207     | 1     |
+| 0.9307   | 0.2027     | 2     |
+| 0.9337   | 0.1922     | 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 sha256:58d9f26677df627880cfd00a45c65833edec9b72bbf346e5b92450cde8ad7b2a
+oid sha256:61d93bdc1bb1974fe833af1eb9b069f939464b9e1676142455aa25492481b04d
 size 166552