Finished training.

README.md

@@ -23,7 +23,7 @@ model-index:
       args: default
     metrics:
     - type: accuracy
-      value: 0.9380263157894737
+      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 [SetFit/distilbert-base-uncased__hate_speech_offensive__train-16-1](https://huggingface.co/SetFit/distilbert-base-uncased__hate_speech_offensive__train-16-1) on the ag_news dataset.
 It achieves the following results on the evaluation set:
-- accuracy: 0.9380
+- accuracy: 0.9399
 
 ## Model description
 
@@ -65,11 +65,11 @@ The following hyperparameters were used during training:
 
 | accuracy | train_loss | epoch |
 |:--------:|:----------:|:-----:|
-| 0.2591   | None       | 0     |
-| 0.9272   | 0.2482     | 0     |
-| 0.9324   | 0.1928     | 1     |
-| 0.9363   | 0.1709     | 2     |
-| 0.9380   | 0.1554     | 3     |
+| 0.2504   | None       | 0     |
+| 0.9286   | 0.2482     | 0     |
+| 0.9329   | 0.1917     | 1     |
+| 0.9367   | 0.1693     | 2     |
+| 0.9399   | 0.1530     | 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 sha256:7229320b0bd90e260aa3518063de02c84703c17e2d24e847c13f0ba4f7167219
+oid sha256:442f128cdd62a9da911c1c746b4ea0b6580f86c8c645deb452c5bf346b610736
 size 2452208