End of training

README.md

@@ -17,7 +17,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6057
+- Loss: 0.6435
 - Accuracy: 0.7
 
 ## Model description
@@ -49,13 +49,13 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 15   | 0.6177          | 0.7      |
-| No log        | 2.0   | 30   | 0.6057          | 0.7      |
+| No log        | 1.0   | 15   | 0.6030          | 0.7333   |
+| No log        | 2.0   | 30   | 0.6435          | 0.7      |
 
 
 ### Framework versions
 
-- Transformers 4.42.3
+- Transformers 4.41.2
 - Pytorch 2.3.0+cu121
 - Datasets 2.20.0
 - Tokenizers 0.19.1

model.safetensors

@@ -1,3 +1,3 @@
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+oid sha256:e091cc1987727331a62405da8d51f54cc6f0e66f7a97a064c94da60ece69c9b6
 size 437958648