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: 0.5668
-- Accuracy: 0.671
+- Loss: 0.4989
+- Accuracy: 0.699
 
 ## Model description
 
@@ -37,20 +37,24 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 0.00040460203863093065
-- train_batch_size: 32
-- eval_batch_size: 32
+- learning_rate: 2.8596890720295276e-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
-- lr_scheduler_warmup_steps: 369
-- num_epochs: 1
+- lr_scheduler_warmup_steps: 73
+- num_epochs: 5
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.4432        | 1.0   | 250  | 0.5668          | 0.671    |
+| 0.399         | 1.0   | 500  | 0.5386          | 0.6795   |
+| 0.419         | 2.0   | 1000 | 0.5159          | 0.6805   |
+| 0.3266        | 3.0   | 1500 | 0.5357          | 0.686    |
+| 0.3992        | 4.0   | 2000 | 0.5063          | 0.6945   |
+| 0.33          | 5.0   | 2500 | 0.4989          | 0.699    |
 
 
 ### Framework versions

pytorch_model.bin

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training_args.bin

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