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: 0.7749
-- Matthews Correlation: 0.5628
+- Loss: 0.8517
+- Matthews Correlation: 0.5189
 
 ## Model description
 
@@ -49,16 +49,16 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Matthews Correlation |
 |:-------------:|:-----:|:----:|:---------------:|:--------------------:|
-| 0.5235        | 1.0   | 535  | 0.4750          | 0.4354               |
-| 0.355         | 2.0   | 1070 | 0.4640          | 0.5190               |
-| 0.2423        | 3.0   | 1605 | 0.5960          | 0.5298               |
-| 0.1813        | 4.0   | 2140 | 0.7028          | 0.5456               |
-| 0.1315        | 5.0   | 2675 | 0.7749          | 0.5628               |
+| 0.5209        | 1.0   | 535  | 0.4660          | 0.4528               |
+| 0.3483        | 2.0   | 1070 | 0.4798          | 0.4913               |
+| 0.2423        | 3.0   | 1605 | 0.6401          | 0.5126               |
+| 0.1747        | 4.0   | 2140 | 0.7881          | 0.5065               |
+| 0.1326        | 5.0   | 2675 | 0.8517          | 0.5189               |
 
 
 ### Framework versions
 
-- Transformers 4.38.2
+- Transformers 4.40.0
 - Pytorch 2.2.1+cu121
 - Datasets 2.19.0
-- Tokenizers 0.15.2
+- Tokenizers 0.19.1

runs/Apr22_22-19-38_2e24b0ee9d48/events.out.tfevents.1713831192.2e24b0ee9d48.936.1

@@ -0,0 +1,3 @@
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+size 423