Finished training.

README.md

@@ -23,7 +23,7 @@ model-index:
       args: irony
     metrics:
     - type: accuracy
-      value: 0.6680628272251309
+      value: 0.6785340314136126
       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__sst2__train-32-9](https://huggingface.co/SetFit/distilbert-base-uncased__sst2__train-32-9) on the tweet_eval dataset.
 It achieves the following results on the evaluation set:
-- accuracy: 0.6681
+- accuracy: 0.6785
 
 ## Model description
 
@@ -66,14 +66,14 @@ The following hyperparameters were used during training:
 | accuracy | train_loss | epoch |
 |:--------:|:----------:|:-----:|
 | 0.5288   | None       | 0     |
-| 0.6209   | 0.6719     | 0     |
-| 0.6115   | 0.6219     | 1     |
-| 0.6733   | 0.5890     | 2     |
-| 0.6764   | 0.5525     | 3     |
-| 0.6691   | 0.5281     | 4     |
-| 0.6670   | 0.5057     | 5     |
-| 0.6681   | 0.4952     | 6     |
-| 0.6681   | 0.4753     | 7     |
+| 0.6251   | 0.6671     | 0     |
+| 0.6366   | 0.6234     | 1     |
+| 0.6785   | 0.5832     | 2     |
+| 0.6796   | 0.5531     | 3     |
+| 0.6848   | 0.5324     | 4     |
+| 0.6524   | 0.5135     | 5     |
+| 0.6817   | 0.4852     | 6     |
+| 0.6785   | 0.4765     | 7     |
 
 
 ### Framework versions

adapter_model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:b3abbb06a6db247cd6b43d3d2fd2b069c1ec26c424d99907f08f1a91487e66d5
+oid sha256:4df72bd97a88b50934de6c7561579420039b271ebc1e63ef84ce82ded33c75d3
 size 2446056