distillbert-imdb

README.md

@@ -16,8 +16,8 @@ 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 an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 3.0847
-- Model Preparation Time: 0.0021
+- Loss: 3.0981
+- Model Preparation Time: 0.0016
 
 ## Model description
 
@@ -49,9 +49,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Model Preparation Time |
 |:-------------:|:-----:|:----:|:---------------:|:----------------------:|
-| 3.3658        | 1.0   | 958  | 3.1627          | 0.0021                 |
-| 3.233         | 2.0   | 1916 | 3.1124          | 0.0021                 |
-| 3.1863        | 3.0   | 2874 | 3.0968          | 0.0021                 |
+| 3.367         | 1.0   | 958  | 3.1578          | 0.0016                 |
+| 3.2338        | 2.0   | 1916 | 3.1152          | 0.0016                 |
+| 3.1885        | 3.0   | 2874 | 3.0898          | 0.0016                 |
 
 
 ### Framework versions

runs/Dec16_18-56-38_084bc694b4e2/events.out.tfevents.1765911575.084bc694b4e2.6003.0

@@ -1,3 +1,3 @@
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-size 6525
+oid sha256:452e9b786a5a682089090c2338c49148f25cbdc038b3e62a515b67bd58e90062
+size 7216

runs/Dec16_18-56-38_084bc694b4e2/events.out.tfevents.1765912374.084bc694b4e2.6003.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:aefc66f7d141e3dea518b4053f66c3d89fe04ac49cc8a99691655e94dd13625e
+size 425