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: 0.4924
-- Accuracy: 0.705
+- Loss: 0.5349
+- Accuracy: 0.691
 
 ## Model description
 
@@ -37,23 +37,23 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 2.3714153637312454e-05
+- learning_rate: 5.225114948240351e-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
-- lr_scheduler_warmup_steps: 104
+- lr_scheduler_warmup_steps: 250
 - num_epochs: 4
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.2821        | 1.0   | 1000 | 0.4989          | 0.705    |
-| 0.4437        | 2.0   | 2000 | 0.5350          | 0.7025   |
-| 0.3233        | 3.0   | 3000 | 0.4913          | 0.704    |
-| 0.411         | 4.0   | 4000 | 0.4924          | 0.705    |
+| 0.3542        | 1.0   | 1000 | 0.5356          | 0.7025   |
+| 0.4943        | 2.0   | 2000 | 0.5377          | 0.6915   |
+| 0.396         | 3.0   | 3000 | 0.5391          | 0.6855   |
+| 0.3931        | 4.0   | 4000 | 0.5349          | 0.691    |
 
 
 ### Framework versions

pytorch_model.bin

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training_args.bin

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