Finished training.

README.md

@@ -22,7 +22,7 @@ model-index:
       args: default
     metrics:
     - type: accuracy
-      value: 0.9292105263157895
+      value: 0.930921052631579
       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/feather_berts_28](https://huggingface.co/connectivity/feather_berts_28) on the ag_news dataset.
 It achieves the following results on the evaluation set:
-- accuracy: 0.9292
+- accuracy: 0.9309
 
 ## Model description
 
@@ -64,11 +64,11 @@ The following hyperparameters were used during training:
 
 | accuracy | train_loss | epoch |
 |:--------:|:----------:|:-----:|
-| 0.2499   | None       | 0     |
-| 0.9191   | 0.3104     | 0     |
-| 0.9249   | 0.2248     | 1     |
-| 0.93     | 0.2050     | 2     |
-| 0.9292   | 0.1939     | 3     |
+| 0.2466   | None       | 0     |
+| 0.9176   | 0.3039     | 0     |
+| 0.9255   | 0.2212     | 1     |
+| 0.9280   | 0.2038     | 2     |
+| 0.9309   | 0.1926     | 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 sha256:0d749e9c493464b76716c5be0b2a77579889dcf49582cd3b29b0c283ce384509
+oid sha256:a851a5cd0f56d18b05d1e14e1d567261014e157e67411331b64089563b55d4be
 size 166552