Finished training.

README.md

@@ -23,7 +23,7 @@ model-index:
       args: default
     metrics:
     - type: accuracy
-      value: 0.9401315789473684
+      value: 0.9394736842105263
       name: accuracy
 ---
 
@@ -34,7 +34,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [jasonyim2/distilbert-base-uncased-finetuned-emotion](https://huggingface.co/jasonyim2/distilbert-base-uncased-finetuned-emotion) on the ag_news dataset.
 It achieves the following results on the evaluation set:
-- accuracy: 0.9401
+- accuracy: 0.9395
 
 ## Model description
 
@@ -65,11 +65,11 @@ The following hyperparameters were used during training:
 
 | accuracy | train_loss | epoch |
 |:--------:|:----------:|:-----:|
-| 0.2678   | None       | 0     |
-| 0.9253   | 0.2641     | 0     |
-| 0.9308   | 0.1996     | 1     |
-| 0.9371   | 0.1765     | 2     |
-| 0.9401   | 0.1591     | 3     |
+| 0.2503   | None       | 0     |
+| 0.9246   | 0.2643     | 0     |
+| 0.9317   | 0.2009     | 1     |
+| 0.9372   | 0.1776     | 2     |
+| 0.9395   | 0.1609     | 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 sha256:69e30d74b11e8bbdfea794caa98ce7f248aba9eae15d854a693e4198dc2446c9
+oid sha256:e925dd7f0bccaeff4f596f3992ed4320fa86bd1f86a3a6967ae45c05e5c4d422
 size 2452208