End of training

README.md

@@ -32,8 +32,8 @@ 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 the imdb dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.5995
 - Accuracy: 0.9351
+- Loss: 0.5995
 
 ## Model description
 
@@ -66,14 +66,14 @@ The following hyperparameters were used during training:
 |:-------------:|:-----:|:-----:|:--------:|:---------------:|
 | 0.1138        | 1.0   | 1563  | 0.9289   | 0.3242          |
 | 0.0544        | 2.0   | 3126  | 0.9315   | 0.3463          |
-| 0.0518        | 3.0   | 4689  | 0.3953   | 0.9264          |
-| 0.0485        | 4.0   | 6252  | 0.4278   | 0.9312          |
-| 0.0404        | 5.0   | 7815  | 0.4647   | 0.9311          |
-| 0.0097        | 6.0   | 9378  | 0.5151   | 0.9318          |
-| 0.0086        | 7.0   | 10941 | 0.5726   | 0.9312          |
-| 0.0095        | 8.0   | 12504 | 0.6062   | 0.93            |
-| 0.0058        | 9.0   | 14067 | 0.5807   | 0.9349          |
-| 0.0048        | 10.0  | 15630 | 0.5995   | 0.9351          |
+| 0.0518        | 3.0   | 4689  | 0.9264   | 0.3953          |
+| 0.0485        | 4.0   | 6252  | 0.9312   | 0.4278          |
+| 0.0404        | 5.0   | 7815  | 0.9311   | 0.4647          |
+| 0.0097        | 6.0   | 9378  | 0.9318   | 0.5151          |
+| 0.0086        | 7.0   | 10941 | 0.9312   | 0.5726          |
+| 0.0095        | 8.0   | 12504 | 0.93     | 0.6062          |
+| 0.0058        | 9.0   | 14067 | 0.9349   | 0.5807          |
+| 0.0048        | 10.0  | 15630 | 0.9351   | 0.5995          |
 
 
 ### Framework versions

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:b224f1b13e945c707cbe3856590d54136b07c5a2c99864a2806531c676dfc4fc
-size 4155
+oid sha256:d543e009c052b7758b76dd6f09457dd9660361427ff9591d7d1e5b9e3b120f2a
+size 4091