Finished training.

README.md

@@ -23,7 +23,7 @@ model-index:
       args: default
     metrics:
     - type: accuracy
-      value: 0.9268421052631579
+      value: 0.9244736842105263
       name: accuracy
 ---
 
@@ -34,7 +34,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [viviastaari/finetuning-sentiment-analysis-en-id](https://huggingface.co/viviastaari/finetuning-sentiment-analysis-en-id) on the ag_news dataset.
 It achieves the following results on the evaluation set:
-- accuracy: 0.9268
+- accuracy: 0.9245
 
 ## Model description
 
@@ -65,11 +65,11 @@ The following hyperparameters were used during training:
 
 | accuracy | train_loss | epoch |
 |:--------:|:----------:|:-----:|
-| 0.2467   | None       | 0     |
-| 0.91     | 0.3024     | 0     |
-| 0.9199   | 0.2328     | 1     |
-| 0.9220   | 0.2070     | 2     |
-| 0.9268   | 0.1892     | 3     |
+| 0.2975   | None       | 0     |
+| 0.9109   | 0.3051     | 0     |
+| 0.9172   | 0.2375     | 1     |
+| 0.9221   | 0.2124     | 2     |
+| 0.9245   | 0.1964     | 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:c039d4016e47bb6342d24ebd06b469ba3947e79075f7aee704c17dc6ea03121e
+oid sha256:95ec83383e60dae0fb4858108bb051f773bffa08a600af70ae7638acab53a37e
 size 2452208