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: 0.8426
-- Matthews Correlation: 0.5154
+- Loss: 1.0594
+- Matthews Correlation: 0.5255
 
 ## Model description
 
@@ -38,8 +38,8 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 2e-05
-- train_batch_size: 16
-- eval_batch_size: 16
+- train_batch_size: 8
+- eval_batch_size: 8
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
@@ -49,11 +49,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Matthews Correlation |
 |:-------------:|:-----:|:----:|:---------------:|:--------------------:|
-| 0.5221        | 1.0   | 535  | 0.4544          | 0.4449               |
-| 0.351         | 2.0   | 1070 | 0.4792          | 0.4815               |
-| 0.2335        | 3.0   | 1605 | 0.6679          | 0.4871               |
-| 0.1777        | 4.0   | 2140 | 0.8426          | 0.5154               |
-| 0.1305        | 5.0   | 2675 | 0.8664          | 0.5136               |
+| 0.49          | 1.0   | 1069 | 0.4803          | 0.4181               |
+| 0.3354        | 2.0   | 2138 | 0.5939          | 0.5114               |
+| 0.2393        | 3.0   | 3207 | 0.8114          | 0.5062               |
+| 0.1864        | 4.0   | 4276 | 1.0369          | 0.5083               |
+| 0.1072        | 5.0   | 5345 | 1.0594          | 0.5255               |
 
 
 ### Framework versions

runs/Feb27_13-43-00_86e2730489af/events.out.tfevents.1709041837.86e2730489af.508.16

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+size 423