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: 0.8616
-- Matthews Correlation: 0.5645
+- Loss: 0.8945
+- Matthews Correlation: 0.5232
 
 ## Model description
 
@@ -37,10 +37,10 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 2e-05
-- train_batch_size: 16
+- learning_rate: 9.899001593609293e-06
+- train_batch_size: 8
 - eval_batch_size: 16
-- seed: 42
+- seed: 30
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - num_epochs: 5
@@ -49,11 +49,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Matthews Correlation |
 |:-------------:|:-----:|:----:|:---------------:|:--------------------:|
-| 0.4237        | 1.0   | 535  | 0.4516          | 0.4666               |
-| 0.2932        | 2.0   | 1070 | 0.4786          | 0.5521               |
-| 0.1994        | 3.0   | 1605 | 0.7163          | 0.5285               |
-| 0.1517        | 4.0   | 2140 | 0.8341          | 0.5432               |
-| 0.1056        | 5.0   | 2675 | 0.8616          | 0.5645               |
+| 0.509         | 1.0   | 1069 | 0.5366          | 0.4025               |
+| 0.3925        | 2.0   | 2138 | 0.6003          | 0.4916               |
+| 0.2998        | 3.0   | 3207 | 0.6921          | 0.4865               |
+| 0.2377        | 4.0   | 4276 | 0.8213          | 0.5235               |
+| 0.2098        | 5.0   | 5345 | 0.8945          | 0.5232               |
 
 
 ### Framework versions