Finished training.

README.md

@@ -22,7 +22,7 @@ model-index:
       args: irony
     metrics:
     - type: accuracy
-      value: 0.6429319371727749
+      value: 0.643979057591623
       name: accuracy
 ---
 
@@ -33,7 +33,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [pietrotrope/emotion_final](https://huggingface.co/pietrotrope/emotion_final) on the tweet_eval dataset.
 It achieves the following results on the evaluation set:
-- accuracy: 0.6429
+- accuracy: 0.6440
 
 ## Model description
 
@@ -64,15 +64,15 @@ The following hyperparameters were used during training:
 
 | accuracy | train_loss | epoch |
 |:--------:|:----------:|:-----:|
-| 0.5089   | None       | 0     |
-| 0.5791   | 0.7089     | 0     |
-| 0.5937   | 0.6624     | 1     |
-| 0.6188   | 0.6174     | 2     |
-| 0.6398   | 0.5848     | 3     |
-| 0.6377   | 0.5620     | 4     |
-| 0.6168   | 0.5445     | 5     |
-| 0.6482   | 0.5232     | 6     |
-| 0.6429   | 0.5080     | 7     |
+| 0.4974   | None       | 0     |
+| 0.6010   | 0.7100     | 0     |
+| 0.5906   | 0.6634     | 1     |
+| 0.6429   | 0.6139     | 2     |
+| 0.6440   | 0.5780     | 3     |
+| 0.6408   | 0.5570     | 4     |
+| 0.6304   | 0.5321     | 5     |
+| 0.6461   | 0.5093     | 6     |
+| 0.6440   | 0.5032     | 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 sha256:48db8f4b2f520336377e3e68a9e5319bd2bcd0d1bb44a2ad9df634a218be6f57
+oid sha256:0ebe95a8a8429a3930da31fc4627286f5d8c371d884263a84d6c44a77a5e27e7
 size 2446056