Finished training.

README.md

@@ -23,7 +23,7 @@ model-index:
       args: default
     metrics:
     - type: accuracy
-      value: 0.9382894736842106
+      value: 0.939078947368421
       name: accuracy
 ---
 
@@ -34,7 +34,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [neibla/distilbert-base-uncased-finetuned-emotion](https://huggingface.co/neibla/distilbert-base-uncased-finetuned-emotion) on the ag_news dataset.
 It achieves the following results on the evaluation set:
-- accuracy: 0.9383
+- accuracy: 0.9391
 
 ## Model description
 
@@ -65,11 +65,11 @@ The following hyperparameters were used during training:
 
 | accuracy | train_loss | epoch |
 |:--------:|:----------:|:-----:|
-| 0.2993   | None       | 0     |
-| 0.9266   | 0.2659     | 0     |
-| 0.9326   | 0.1998     | 1     |
-| 0.9351   | 0.1768     | 2     |
-| 0.9383   | 0.1602     | 3     |
+| 0.2512   | None       | 0     |
+| 0.9261   | 0.2630     | 0     |
+| 0.9305   | 0.1988     | 1     |
+| 0.9357   | 0.1769     | 2     |
+| 0.9391   | 0.1612     | 3     |
 
 
 ### Framework versions

adapter_model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:dd99236e0eb7371853e661da3dfbf6c0a98f3867f3a5b1af12b6ca601e41eb32
+oid sha256:cce17fca34e605663e8f83008cd23a5bfef425d378b1330812c5d96acdb92810
 size 2452208