Finished training.

README.md

@@ -23,7 +23,7 @@ model-index:
       args: default
     metrics:
     - type: accuracy
-      value: 0.9422368421052632
+      value: 0.944078947368421
       name: accuracy
 ---
 
@@ -34,7 +34,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [SetFit/distilbert-base-uncased__sst2__train-16-0](https://huggingface.co/SetFit/distilbert-base-uncased__sst2__train-16-0) on the ag_news dataset.
 It achieves the following results on the evaluation set:
-- accuracy: 0.9422
+- accuracy: 0.9441
 
 ## Model description
 
@@ -65,11 +65,11 @@ The following hyperparameters were used during training:
 
 | accuracy | train_loss | epoch |
 |:--------:|:----------:|:-----:|
-| 0.2638   | None       | 0     |
-| 0.9272   | 0.2468     | 0     |
-| 0.9353   | 0.1912     | 1     |
-| 0.9405   | 0.1698     | 2     |
-| 0.9422   | 0.1538     | 3     |
+| 0.2513   | None       | 0     |
+| 0.9267   | 0.2476     | 0     |
+| 0.9349   | 0.1913     | 1     |
+| 0.9389   | 0.1691     | 2     |
+| 0.9441   | 0.1534     | 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 sha256:9ecd637c0a5e1f835b0b3ec2d6627389ad574a9d783ae264777aba42747dd1f1
+oid sha256:a392caad4c7331d34c37ea657a7e2487c6bc248d02fd4a7734a866fbbd3f0e27
 size 2452208