Finished training.

README.md

@@ -23,7 +23,7 @@ model-index:
       args: default
     metrics:
     - type: accuracy
-      value: 0.9381578947368421
+      value: 0.9398684210526316
       name: accuracy
 ---
 
@@ -34,7 +34,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [aXhyra/emotion_trained_31415](https://huggingface.co/aXhyra/emotion_trained_31415) on the ag_news dataset.
 It achieves the following results on the evaluation set:
-- accuracy: 0.9382
+- accuracy: 0.9399
 
 ## Model description
 
@@ -66,10 +66,10 @@ The following hyperparameters were used during training:
 | accuracy | train_loss | epoch |
 |:--------:|:----------:|:-----:|
 | 0.3424   | None       | 0     |
-| 0.9232   | 0.2697     | 0     |
-| 0.9308   | 0.2040     | 1     |
-| 0.9337   | 0.1798     | 2     |
-| 0.9382   | 0.1642     | 3     |
+| 0.9224   | 0.2694     | 0     |
+| 0.9305   | 0.2013     | 1     |
+| 0.9378   | 0.1776     | 2     |
+| 0.9399   | 0.1611     | 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 sha256:386bde490160a95a749a15b97c6ea4707eca2ebf9b9319869a462dcfe6ee8aea
+oid sha256:ce336dbd8e04dd6828c2b3e6f1155d0d1d1580e933ab42c5e6f477612b79c9cb
 size 2452208