Finished training.

README.md

@@ -23,7 +23,7 @@ model-index:
       args: default
     metrics:
     - type: accuracy
-      value: 0.9410526315789474
+      value: 0.9407894736842105
       name: accuracy
 ---
 
@@ -34,7 +34,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [PrasunMishra/finetuning-sentiment-model-3000-samples](https://huggingface.co/PrasunMishra/finetuning-sentiment-model-3000-samples) on the ag_news dataset.
 It achieves the following results on the evaluation set:
-- accuracy: 0.9411
+- accuracy: 0.9408
 
 ## Model description
 
@@ -65,11 +65,11 @@ The following hyperparameters were used during training:
 
 | accuracy | train_loss | epoch |
 |:--------:|:----------:|:-----:|
-| 0.2149   | None       | 0     |
-| 0.9267   | 0.2538     | 0     |
-| 0.9330   | 0.1959     | 1     |
-| 0.9387   | 0.1742     | 2     |
-| 0.9411   | 0.1574     | 3     |
+| 0.2512   | None       | 0     |
+| 0.9274   | 0.2527     | 0     |
+| 0.9308   | 0.1952     | 1     |
+| 0.9397   | 0.1737     | 2     |
+| 0.9408   | 0.1576     | 3     |
 
 
 ### Framework versions

adapter_model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:c0b88fdc76171055e88a3f951c53d7392bd25dcf0acdcfe966cf47d3fd7e411d
+oid sha256:c2437a610b4d4449d8246881c80146396819d6e0364852202828c5d29e3b5774
 size 2452208