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: 2.1070
+- Loss: 1.8440
 
 ## Model description
 
@@ -34,21 +34,24 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 2e-05
-- train_batch_size: 16
-- eval_batch_size: 16
+- learning_rate: 3e-05
+- train_batch_size: 18
+- eval_batch_size: 18
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 3
+- num_epochs: 6
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| No log        | 1.0   | 250  | 2.3553          |
-| 2.7105        | 2.0   | 500  | 2.1268          |
-| 2.7105        | 3.0   | 750  | 2.1070          |
+| No log        | 1.0   | 223  | 2.1345          |
+| No log        | 2.0   | 446  | 1.5920          |
+| 2.2917        | 3.0   | 669  | 1.5936          |
+| 2.2917        | 4.0   | 892  | 1.6335          |
+| 0.7633        | 5.0   | 1115 | 1.7695          |
+| 0.7633        | 6.0   | 1338 | 1.8440          |
 
 
 ### Framework versions

model.safetensors

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runs/Apr10_16-14-43_DESKTOP-O0E3GS1/events.out.tfevents.1712762083.DESKTOP-O0E3GS1.25196.0

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