Finished training.

README.md

@@ -23,7 +23,7 @@ model-index:
       args: default
     metrics:
     - type: accuracy
-      value: 0.94
+      value: 0.9415789473684211
       name: accuracy
 ---
 
@@ -34,7 +34,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [uygarkurt/distilbert-base-uncased-finetuned-emotion](https://huggingface.co/uygarkurt/distilbert-base-uncased-finetuned-emotion) on the ag_news dataset.
 It achieves the following results on the evaluation set:
-- accuracy: 0.94
+- accuracy: 0.9416
 
 ## Model description
 
@@ -65,11 +65,11 @@ The following hyperparameters were used during training:
 
 | accuracy | train_loss | epoch |
 |:--------:|:----------:|:-----:|
-| 0.2783   | None       | 0     |
-| 0.9284   | 0.2582     | 0     |
-| 0.9322   | 0.1949     | 1     |
-| 0.9382   | 0.1736     | 2     |
-| 0.94     | 0.1569     | 3     |
+| 0.2478   | None       | 0     |
+| 0.9257   | 0.2606     | 0     |
+| 0.9336   | 0.2005     | 1     |
+| 0.9384   | 0.1767     | 2     |
+| 0.9416   | 0.1601     | 3     |
 
 
 ### Framework versions

adapter_config.json

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

adapter_model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:28ea07f8b85dd2bd7c518da31fe517b02d0aa55048ddb190f35bacda82f4a883
+oid sha256:bf4f8ad2bb2aa8987b5d830d5788e5d7c5f589dde3d813b4bd44222a9826511c
 size 2452208