Finished training.

README.md

@@ -22,7 +22,7 @@ model-index:
       args: default
     metrics:
     - type: accuracy
-      value: 0.8893421052631579
+      value: 0.8921052631578947
       name: accuracy
 ---
 
@@ -33,7 +33,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [moshew/bert-mini-sst2-distilled](https://huggingface.co/moshew/bert-mini-sst2-distilled) on the ag_news dataset.
 It achieves the following results on the evaluation set:
-- accuracy: 0.8893
+- accuracy: 0.8921
 
 ## Model description
 
@@ -64,11 +64,11 @@ The following hyperparameters were used during training:
 
 | accuracy | train_loss | epoch |
 |:--------:|:----------:|:-----:|
-| 0.2189   | None       | 0     |
-| 0.8813   | 0.4558     | 0     |
-| 0.8863   | 0.3451     | 1     |
-| 0.8891   | 0.3356     | 2     |
-| 0.8893   | 0.3280     | 3     |
+| 0.2483   | None       | 0     |
+| 0.8812   | 0.4528     | 0     |
+| 0.8854   | 0.3449     | 1     |
+| 0.8901   | 0.3341     | 2     |
+| 0.8921   | 0.3252     | 3     |
 
 
 ### Framework versions

adapter_model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:7c621a0f85affbecf824a2ad8950fc42381f0a493a103174210bea1a0f722e24
+oid sha256:a5eb44ad5ebd9d1e813c76c4e940a12fe5ce3d8ff2ce172ca72ce6634ebc0a86
 size 22880