Finished training.

README.md

@@ -22,7 +22,7 @@ model-index:
       args: default
     metrics:
     - type: accuracy
-      value: 0.9385526315789474
+      value: 0.940921052631579
       name: accuracy
 ---
 
@@ -33,7 +33,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [JB173/distilbert-base-uncased-finetuned-emotion](https://huggingface.co/JB173/distilbert-base-uncased-finetuned-emotion) on the ag_news dataset.
 It achieves the following results on the evaluation set:
-- accuracy: 0.9386
+- accuracy: 0.9409
 
 ## Model description
 
@@ -64,11 +64,11 @@ The following hyperparameters were used during training:
 
 | accuracy | train_loss | epoch |
 |:--------:|:----------:|:-----:|
-| 0.2672   | None       | 0     |
-| 0.9253   | 0.2611     | 0     |
-| 0.9301   | 0.2005     | 1     |
-| 0.9370   | 0.1774     | 2     |
-| 0.9386   | 0.1611     | 3     |
+| 0.2597   | None       | 0     |
+| 0.9257   | 0.2595     | 0     |
+| 0.9325   | 0.1992     | 1     |
+| 0.9361   | 0.1755     | 2     |
+| 0.9409   | 0.1597     | 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:ec7b499903b52fa42e2512615bd4b26942e90d9372866d0af6a0df5a2433c534
+oid sha256:fecce24b4205e12bb2045a4ac74aeff0b8469c87c3be3210f6532f51b2f77669
 size 2452208