Finished training.

README.md

@@ -22,7 +22,7 @@ model-index:
       args: irony
     metrics:
     - type: accuracy
-      value: 0.680628272251309
+      value: 0.6921465968586388
       name: accuracy
 ---
 
@@ -33,7 +33,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [Jeevesh8/lecun_feather_berts-3](https://huggingface.co/Jeevesh8/lecun_feather_berts-3) on the tweet_eval dataset.
 It achieves the following results on the evaluation set:
-- accuracy: 0.6806
+- accuracy: 0.6921
 
 ## Model description
 
@@ -64,15 +64,15 @@ The following hyperparameters were used during training:
 
 | accuracy | train_loss | epoch |
 |:--------:|:----------:|:-----:|
-| 0.5225   | None       | 0     |
-| 0.5749   | 0.6924     | 0     |
-| 0.6293   | 0.6458     | 1     |
-| 0.6524   | 0.6116     | 2     |
-| 0.6628   | 0.5891     | 3     |
-| 0.6586   | 0.5658     | 4     |
-| 0.6618   | 0.5543     | 5     |
-| 0.6764   | 0.5354     | 6     |
-| 0.6806   | 0.5274     | 7     |
+| 0.4597   | None       | 0     |
+| 0.5728   | 0.6910     | 0     |
+| 0.6251   | 0.6453     | 1     |
+| 0.6513   | 0.6179     | 2     |
+| 0.6702   | 0.5893     | 3     |
+| 0.6670   | 0.5637     | 4     |
+| 0.6670   | 0.5492     | 5     |
+| 0.6848   | 0.5318     | 6     |
+| 0.6921   | 0.5239     | 7     |
 
 
 ### Framework versions

adapter_model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:a58ffb909abbd4cce356e430d2e6456c391267e3de54fd8f2a4cd60c0be2532b
+oid sha256:915e47e54e76b16d4696297d9cdde1ce650a689ccca4c5965ab1223bdfb84aab
 size 160400