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-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2763
-- Accuracy: 0.9025
+- Loss: 0.2597
+- Accuracy: 0.9048
 
 ## Model description
 
@@ -49,16 +49,16 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 66   | 0.2804          | 0.8796   |
-| No log        | 2.0   | 132  | 0.2631          | 0.8968   |
-| No log        | 3.0   | 198  | 0.2641          | 0.8979   |
-| No log        | 4.0   | 264  | 0.2763          | 0.9025   |
-| No log        | 5.0   | 330  | 0.2811          | 0.9025   |
+| No log        | 1.0   | 66   | 0.2954          | 0.875    |
+| No log        | 2.0   | 132  | 0.2539          | 0.9025   |
+| No log        | 3.0   | 198  | 0.2597          | 0.9048   |
+| No log        | 4.0   | 264  | 0.2723          | 0.9025   |
+| No log        | 5.0   | 330  | 0.2773          | 0.9048   |
 
 
 ### Framework versions
 
-- Transformers 4.39.1
-- Pytorch 2.2.1+cu121
-- Datasets 2.18.0
-- Tokenizers 0.15.2
+- Transformers 4.43.3
+- Pytorch 2.4.0+cu121
+- Datasets 2.20.0
+- Tokenizers 0.19.1

model.safetensors

@@ -1,3 +1,3 @@
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+oid sha256:d39f4040f19265681162e85a827d7f40f3b39faf4e9674c53526229dcf26f8fd
 size 267832560