End of training

README.md

@@ -18,8 +18,8 @@ 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: 0.2798
-- Accuracy: 0.9060
+- Loss: 0.2754
+- Accuracy: 0.9037
 
 ## Model description
 
@@ -50,16 +50,16 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 132  | 0.2500          | 0.8945   |
-| No log        | 2.0   | 264  | 0.2781          | 0.8933   |
-| No log        | 3.0   | 396  | 0.2798          | 0.9060   |
-| 0.1963        | 4.0   | 528  | 0.2892          | 0.9048   |
-| 0.1963        | 5.0   | 660  | 0.2942          | 0.9060   |
+| No log        | 1.0   | 132  | 0.2510          | 0.9014   |
+| No log        | 2.0   | 264  | 0.2754          | 0.9037   |
+| No log        | 3.0   | 396  | 0.2798          | 0.9025   |
+| 0.1936        | 4.0   | 528  | 0.2905          | 0.9037   |
+| 0.1936        | 5.0   | 660  | 0.2984          | 0.9025   |
 
 
 ### Framework versions
 
 - Transformers 4.50.2
-- Pytorch 2.6.0+cu126
+- Pytorch 2.6.0+cu124
 - Datasets 3.5.0
 - Tokenizers 0.21.1

model.safetensors

@@ -1,3 +1,3 @@
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+oid sha256:da656d799fa55d707a66e549ee4304b700e44398e01face481676091d5abf355
 size 267832560