End of training

README.md

@@ -15,7 +15,7 @@ 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: 1.7077
+- Loss: 1.7000
 
 ## Model description
 
@@ -34,24 +34,22 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 3e-05
-- train_batch_size: 18
-- eval_batch_size: 18
+- learning_rate: 2e-05
+- train_batch_size: 16
+- eval_batch_size: 16
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 6
+- num_epochs: 4
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| No log        | 1.0   | 223  | 1.8069          |
-| No log        | 2.0   | 446  | 1.4716          |
-| 2.2175        | 3.0   | 669  | 1.5040          |
-| 2.2175        | 4.0   | 892  | 1.5389          |
-| 0.7588        | 5.0   | 1115 | 1.6680          |
-| 0.7588        | 6.0   | 1338 | 1.7077          |
+| No log        | 1.0   | 250  | 2.4108          |
+| 2.6989        | 2.0   | 500  | 1.8762          |
+| 2.6989        | 3.0   | 750  | 1.6756          |
+| 1.2382        | 4.0   | 1000 | 1.7000          |
 
 
 ### Framework versions

runs/Apr10_17-39-18_DESKTOP-O0E3GS1/events.out.tfevents.1712767159.DESKTOP-O0E3GS1.10048.0

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