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: 1.7139
+- Loss: 1.7653
 
 ## Model description
 
@@ -34,21 +34,22 @@ 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: 8
+- eval_batch_size: 8
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 3
+- num_epochs: 4
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| No log        | 1.0   | 250  | 2.2957          |
-| 2.6841        | 2.0   | 500  | 1.7609          |
-| 2.6841        | 3.0   | 750  | 1.7139          |
+| 2.845         | 1.0   | 500  | 1.6666          |
+| 1.2743        | 2.0   | 1000 | 1.5030          |
+| 0.742         | 3.0   | 1500 | 1.6389          |
+| 0.5083        | 4.0   | 2000 | 1.7653          |
 
 
 ### Framework versions

model.safetensors

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training_args.bin

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