End of training

README.md

@@ -18,7 +18,7 @@ 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: 0.2754
+- Loss: 0.2826
 - 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  | 0.2510          | 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   |
+| No log        | 1.0   | 132  | 0.2516          | 0.8933   |
+| No log        | 2.0   | 264  | 0.2756          | 0.8956   |
+| No log        | 3.0   | 396  | 0.2826          | 0.9037   |
+| 0.1967        | 4.0   | 528  | 0.2973          | 0.9025   |
+| 0.1967        | 5.0   | 660  | 0.3021          | 0.9002   |
 
 
 ### Framework versions
 
-- Transformers 4.50.2
-- Pytorch 2.6.0+cu124
-- Datasets 3.5.0
-- Tokenizers 0.21.1
+- Transformers 4.53.2
+- Pytorch 2.7.1+cu126
+- Datasets 4.0.0
+- Tokenizers 0.21.2

model.safetensors

@@ -1,3 +1,3 @@
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+oid sha256:09c53d39e90881c18b49a657ff74072bdf1d3422efdf212048b35f5acc98977a
 size 267832560