Finished training.

README.md

@@ -22,7 +22,7 @@ model-index:
       args: emotion
     metrics:
     - type: accuracy
-      value: 0.7780748663101604
+      value: 0.7513368983957219
       name: accuracy
 ---
 
@@ -33,7 +33,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [connectivity/feather_berts_28](https://huggingface.co/connectivity/feather_berts_28) on the tweet_eval dataset.
 It achieves the following results on the evaluation set:
-- accuracy: 0.7781
+- accuracy: 0.7513
 
 ## Model description
 
@@ -64,11 +64,11 @@ The following hyperparameters were used during training:
 
 | accuracy | train_loss | epoch |
 |:--------:|:----------:|:-----:|
-| 0.3021   | None       | 0     |
-| 0.6524   | 1.1991     | 0     |
-| 0.7513   | 0.9077     | 1     |
-| 0.7620   | 0.7740     | 2     |
-| 0.7781   | 0.7278     | 3     |
+| 0.1738   | None       | 0     |
+| 0.6096   | 1.2222     | 0     |
+| 0.7032   | 0.9576     | 1     |
+| 0.7353   | 0.8372     | 2     |
+| 0.7513   | 0.7818     | 3     |
 
 
 ### Framework versions

adapter_config.json

@@ -19,8 +19,8 @@
   "rank_pattern": {},
   "revision": null,
   "target_modules": [
-    "value",
-    "query"
+    "query",
+    "value"
   ],
   "task_type": "SEQ_CLS",
   "use_rslora": false

adapter_model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:ab75984e26d3a21422993872c7e81b1a16404a9cb172d223bb2d2aa6b72709cb
+oid sha256:f0a46121d1c2fe3e178e309e7642c16026043cc81cf17b9283f0bc833fe37595
 size 166552

tokenizer.json

@@ -1,11 +1,6 @@
 {
   "version": "1.0",
-  "truncation": {
-    "direction": "Right",
-    "max_length": 512,
-    "strategy": "LongestFirst",
-    "stride": 0
-  },
+  "truncation": null,
   "padding": null,
   "added_tokens": [
     {