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 the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.4235
-- Accuracy: 0.8427
+- Loss: 0.4270
+- Accuracy: 0.8344
 
 ## Model description
 
@@ -49,13 +49,13 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 151  | 0.4242          | 0.8427   |
-| No log        | 2.0   | 302  | 0.4235          | 0.8427   |
+| No log        | 1.0   | 151  | 0.4237          | 0.8427   |
+| No log        | 2.0   | 302  | 0.4270          | 0.8344   |
 
 
 ### Framework versions
 
-- Transformers 4.31.0
-- Pytorch 2.1.2+cu121
-- Datasets 2.16.1
-- Tokenizers 0.13.3
+- Transformers 4.36.2
+- Pytorch 2.0.0
+- Datasets 2.1.0
+- Tokenizers 0.15.0

runs/Jan24_09-53-51_c0c12f652d36/events.out.tfevents.1706090033.c0c12f652d36.27.0

@@ -1,3 +1,3 @@
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-size 4696
+oid sha256:c37e19a39ec5f8daa20d411b33b795e86ee68e051ea7d07906ffbcd94eb1a5ad
+size 5373