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: 0.8473
-- Matthews Correlation: 0.5370
+- Loss: 0.7625
+- Matthews Correlation: 0.5356
 
 ## Model description
 
@@ -49,16 +49,16 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Matthews Correlation |
 |:-------------:|:-----:|:----:|:---------------:|:--------------------:|
-| 0.5205        | 1.0   | 535  | 0.4567          | 0.4461               |
-| 0.3488        | 2.0   | 1070 | 0.4710          | 0.5056               |
-| 0.2331        | 3.0   | 1605 | 0.6293          | 0.4970               |
-| 0.1729        | 4.0   | 2140 | 0.8023          | 0.5323               |
-| 0.1246        | 5.0   | 2675 | 0.8473          | 0.5370               |
+| 0.5274        | 1.0   | 535  | 0.4560          | 0.4613               |
+| 0.374         | 2.0   | 1070 | 0.4713          | 0.5312               |
+| 0.2592        | 3.0   | 1605 | 0.5962          | 0.5196               |
+| 0.1921        | 4.0   | 2140 | 0.7600          | 0.5159               |
+| 0.1555        | 5.0   | 2675 | 0.7625          | 0.5356               |
 
 
 ### Framework versions
 
-- Transformers 4.38.1
-- Pytorch 2.1.0+cu121
-- Datasets 2.17.1
+- Transformers 4.38.2
+- Pytorch 2.2.1
+- Datasets 2.18.0
 - Tokenizers 0.15.2

runs/Mar08_02-59-40_MBP-van-RV.home/events.out.tfevents.1709864117.MBP-van-RV.home.1645.3

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+size 423