Finished training.

README.md

@@ -22,7 +22,7 @@ model-index:
       args: default
     metrics:
     - type: accuracy
-      value: 0.9388157894736842
+      value: 0.939078947368421
       name: accuracy
 ---
 
@@ -33,7 +33,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [amyma21/sincere_question_classification](https://huggingface.co/amyma21/sincere_question_classification) on the ag_news dataset.
 It achieves the following results on the evaluation set:
-- accuracy: 0.9388
+- accuracy: 0.9391
 
 ## Model description
 
@@ -64,11 +64,11 @@ The following hyperparameters were used during training:
 
 | accuracy | train_loss | epoch |
 |:--------:|:----------:|:-----:|
-| 0.1393   | None       | 0     |
-| 0.925    | 0.2677     | 0     |
-| 0.9303   | 0.2012     | 1     |
-| 0.9364   | 0.1779     | 2     |
-| 0.9388   | 0.1621     | 3     |
+| 0.3547   | None       | 0     |
+| 0.9245   | 0.2694     | 0     |
+| 0.9314   | 0.2030     | 1     |
+| 0.9379   | 0.1795     | 2     |
+| 0.9391   | 0.1625     | 3     |
 
 
 ### Framework versions

adapter_config.json

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

adapter_model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:357b74fbacb9577185b44629ca76cee542f0c8187f504c623973a8c7cdb8735d
+oid sha256:111673e6287d6f792c96ab2ae827fc3c24d01d017bff4b6aa607e179947a2454
 size 2452208