Finished training.

README.md

@@ -22,7 +22,7 @@ model-index:
       args: default
     metrics:
     - type: accuracy
-      value: 0.939078947368421
+      value: 0.9384210526315789
       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 ag_news dataset.
 It achieves the following results on the evaluation set:
-- accuracy: 0.9391
+- accuracy: 0.9384
 
 ## Model description
 
@@ -65,10 +65,10 @@ The following hyperparameters were used during training:
 | accuracy | train_loss | epoch |
 |:--------:|:----------:|:-----:|
 | 0.3586   | None       | 0     |
-| 0.9241   | 0.2676     | 0     |
-| 0.9297   | 0.1985     | 1     |
-| 0.9359   | 0.1763     | 2     |
-| 0.9391   | 0.1590     | 3     |
+| 0.9233   | 0.2671     | 0     |
+| 0.9312   | 0.2005     | 1     |
+| 0.935    | 0.1773     | 2     |
+| 0.9384   | 0.1609     | 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 sha256:7c4a8dc833c4c6960dad03358f0b15cba7f7ac32e870654dd89c4c82598198ac
+oid sha256:e63a023ea28d5180d6215cfcc188ebfc7f285c941eda9421e7ef5082b946af8c
 size 2452208