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 [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.8867
-- Accuracy: 0.6773
+- Loss: 1.4700
+- Accuracy: 0.6837
 
 ## Model description
 
@@ -37,21 +37,22 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 5e-05
+- learning_rate: 7.45e-06
 - 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: 3
+- num_epochs: 4
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 179  | 0.6222          | 0.6775   |
-| No log        | 2.0   | 358  | 0.6218          | 0.6921   |
-| 0.4718        | 3.0   | 537  | 0.8141          | 0.7141   |
+| No log        | 1.0   | 179  | 1.0842          | 0.7058   |
+| No log        | 2.0   | 358  | 1.1818          | 0.7246   |
+| 0.0989        | 3.0   | 537  | 1.3344          | 0.7183   |
+| 0.0989        | 4.0   | 716  | 1.3794          | 0.7173   |
 
 
 ### Framework versions

runs/Mar11_06-55-43_52dd5b86094b/events.out.tfevents.1710140144.52dd5b86094b.7559.6

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training_args.bin

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