Training completed!

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-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.8019
-- Accuracy: 0.9165
+- Loss: 0.8041
+- Accuracy: 0.9171
 
 ## Model description
 
@@ -49,16 +49,16 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 318  | 3.3056          | 0.7232   |
-| 3.8093        | 2.0   | 636  | 1.9063          | 0.8445   |
-| 3.8093        | 3.0   | 954  | 1.1856          | 0.8897   |
-| 1.7292        | 4.0   | 1272 | 0.8850          | 0.9106   |
-| 0.9328        | 5.0   | 1590 | 0.8019          | 0.9165   |
+| No log        | 1.0   | 318  | 3.3202          | 0.7174   |
+| 3.8199        | 2.0   | 636  | 1.9119          | 0.8539   |
+| 3.8199        | 3.0   | 954  | 1.1938          | 0.89     |
+| 1.7396        | 4.0   | 1272 | 0.8895          | 0.9123   |
+| 0.9375        | 5.0   | 1590 | 0.8041          | 0.9171   |
 
 
 ### Framework versions
 
-- Transformers 4.37.2
-- Pytorch 2.2.0+cu121
-- Datasets 2.17.0
-- Tokenizers 0.15.2
+- Transformers 4.41.1
+- Pytorch 2.3.0+cu121
+- Datasets 2.19.1
+- Tokenizers 0.19.1

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:9bd8a2f3d3b78a273316722aa1b2f3f93bfa9a4935b4aae13a5055dd3a5dea73
 size 268290900