Finished training.

README.md

@@ -23,7 +23,7 @@ model-index:
       args: irony
     metrics:
     - type: accuracy
-      value: 0.675392670157068
+      value: 0.6774869109947644
       name: accuracy
 ---
 
@@ -34,7 +34,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the tweet_eval dataset.
 It achieves the following results on the evaluation set:
-- accuracy: 0.6754
+- accuracy: 0.6775
 
 ## Model description
 
@@ -65,15 +65,15 @@ The following hyperparameters were used during training:
 
 | accuracy | train_loss | epoch |
 |:--------:|:----------:|:-----:|
-| 0.5173   | None       | 0     |
-| 0.6084   | 0.6735     | 0     |
-| 0.6084   | 0.6186     | 1     |
-| 0.6649   | 0.5837     | 2     |
-| 0.6764   | 0.5616     | 3     |
-| 0.6743   | 0.5366     | 4     |
-| 0.6471   | 0.5275     | 5     |
-| 0.6775   | 0.5065     | 6     |
-| 0.6754   | 0.4976     | 7     |
+| 0.4921   | None       | 0     |
+| 0.6105   | 0.6719     | 0     |
+| 0.6136   | 0.6217     | 1     |
+| 0.6733   | 0.5822     | 2     |
+| 0.6775   | 0.5562     | 3     |
+| 0.6723   | 0.5319     | 4     |
+| 0.6450   | 0.5167     | 5     |
+| 0.6764   | 0.5046     | 6     |
+| 0.6775   | 0.4967     | 7     |
 
 
 ### 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 sha256:54276ed62ed04ff430f05e81bb9e738e56caba79e5380e568d733bcddc12b1d0
+oid sha256:0e13d500c1b78c0dfe22710c13bf2d30cd91c6e6f04c2652fdb90cc0863d3431
 size 2446056