Finished training.

README.md

@@ -22,7 +22,7 @@ model-index:
       args: irony
     metrics:
     - type: accuracy
-      value: 0.625130890052356
+      value: 0.6198952879581152
       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/init_bert_ft_qqp-24](https://huggingface.co/Jeevesh8/init_bert_ft_qqp-24) on the tweet_eval dataset.
 It achieves the following results on the evaluation set:
-- accuracy: 0.6251
+- accuracy: 0.6199
 
 ## Model description
 
@@ -65,14 +65,14 @@ The following hyperparameters were used during training:
 | accuracy | train_loss | epoch |
 |:--------:|:----------:|:-----:|
 | 0.5183   | None       | 0     |
-| 0.4942   | 0.7904     | 0     |
-| 0.5414   | 0.6875     | 1     |
-| 0.5812   | 0.6643     | 2     |
-| 0.5874   | 0.6493     | 3     |
-| 0.6042   | 0.6377     | 4     |
-| 0.6168   | 0.6315     | 5     |
-| 0.6188   | 0.6216     | 6     |
-| 0.6251   | 0.6119     | 7     |
+| 0.4984   | 0.7964     | 0     |
+| 0.5288   | 0.6933     | 1     |
+| 0.5466   | 0.6770     | 2     |
+| 0.5801   | 0.6594     | 3     |
+| 0.5916   | 0.6458     | 4     |
+| 0.5906   | 0.6318     | 5     |
+| 0.6073   | 0.6234     | 6     |
+| 0.6199   | 0.6201     | 7     |
 
 
 ### Framework versions

adapter_model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:b9b78f8251f50f33ec2c3496f204470172dcdd607fafa9882af1718d5ffc7d0c
+oid sha256:43a80b80cc7a6b4f8897a78b016d1ec6f5cdf2bbc3a0c801551e886ac0892c31
 size 160400