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: 0.7517
-- Matthews Correlation: 0.5279
+- Loss: 0.8251
+- Matthews Correlation: 0.5369
 
 ## Model description
 
@@ -49,16 +49,16 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Matthews Correlation |
 |:-------------:|:-----:|:----:|:---------------:|:--------------------:|
-| 0.5218        | 1.0   | 535  | 0.4626          | 0.5004               |
-| 0.3481        | 2.0   | 1070 | 0.5221          | 0.4922               |
-| 0.2278        | 3.0   | 1605 | 0.6471          | 0.5139               |
-| 0.1826        | 4.0   | 2140 | 0.7517          | 0.5279               |
-| 0.1289        | 5.0   | 2675 | 0.8326          | 0.5256               |
+| 0.5232        | 1.0   | 535  | 0.4719          | 0.4268               |
+| 0.3473        | 2.0   | 1070 | 0.4846          | 0.5330               |
+| 0.2365        | 3.0   | 1605 | 0.6165          | 0.5050               |
+| 0.1753        | 4.0   | 2140 | 0.7647          | 0.5215               |
+| 0.1331        | 5.0   | 2675 | 0.8251          | 0.5369               |
 
 
 ### Framework versions
 
-- Transformers 4.37.1
+- Transformers 4.38.1
 - Pytorch 2.1.0+cu121
-- Datasets 2.16.1
-- Tokenizers 0.15.1
+- Datasets 2.17.1
+- Tokenizers 0.15.2

runs/Feb23_10-35-48_ec6659c07f12/events.out.tfevents.1708684569.ec6659c07f12.1051.0

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runs/Feb23_10-35-48_ec6659c07f12/events.out.tfevents.1708684709.ec6659c07f12.1051.1

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