Model save

README.md

@@ -15,7 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.4577
+- Loss: 1.5293
 
 ## Model description
 
@@ -46,11 +46,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| No log        | 1.0   | 400  | 1.6381          |
-| 2.5862        | 2.0   | 800  | 1.3999          |
-| 1.2698        | 3.0   | 1200 | 1.3953          |
-| 0.892         | 4.0   | 1600 | 1.4081          |
-| 0.7071        | 5.0   | 2000 | 1.4577          |
+| No log        | 1.0   | 400  | 1.8233          |
+| 2.6808        | 2.0   | 800  | 1.4748          |
+| 1.3377        | 3.0   | 1200 | 1.4337          |
+| 0.9407        | 4.0   | 1600 | 1.5031          |
+| 0.7257        | 5.0   | 2000 | 1.5293          |
 
 
 ### Framework versions

runs/Mar22_21-00-54_Asus/events.out.tfevents.1711141254.Asus.13088.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:c8a39e137f412c8991c8ddb7263f1f5f6955a2a4254fde24432693382745889e
-size 6359
+oid sha256:071cd4153248dc865b0b47bcfcb63a9a3491d0074d71d3656e97d1a78c1b9cad
+size 6984