End of training

README.md

@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [distilbert-base-cased](https://huggingface.co/distilbert-base-cased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6353
-- Accuracy: 0.6334
+- Loss: 0.6313
+- Accuracy: 0.6399
 
 ## Model description
 
@@ -49,11 +49,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.6801        | 1.0   | 461  | 0.6584          | 0.6074   |
-| 0.6412        | 2.0   | 922  | 0.6359          | 0.6291   |
-| 0.6191        | 3.0   | 1383 | 0.6329          | 0.6334   |
-| 0.5985        | 4.0   | 1844 | 0.6336          | 0.6377   |
-| 0.5924        | 5.0   | 2305 | 0.6353          | 0.6334   |
+| 0.6814        | 1.0   | 461  | 0.6569          | 0.6247   |
+| 0.6429        | 2.0   | 922  | 0.6273          | 0.6508   |
+| 0.6182        | 3.0   | 1383 | 0.6268          | 0.6356   |
+| 0.5958        | 4.0   | 1844 | 0.6254          | 0.6464   |
+| 0.588         | 5.0   | 2305 | 0.6313          | 0.6399   |
 
 
 ### Framework versions

runs/Apr13_20-58-26_9c87cbb964fe/events.out.tfevents.1713041911.9c87cbb964fe.377.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:5d7d4bc11652a06bdb146a5e8ecd2aee6a6714a53c5507705b47bfbfa37ef3c8
-size 7078
+oid sha256:68b1b25285e4f08475dbdf1cb9ad637207050331930cd7faeb0465742735d6b6
+size 7966