load 4 epochs model (best results)

README.md

@@ -19,11 +19,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [bert-large-uncased](https://huggingface.co/bert-large-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2244
-- Accuracy: 0.9701
-- Precision: 0.9648
-- Recall: 0.9642
-- False Positive Rate: 0.0256
+- Loss: 0.1953
+- Accuracy: 0.9717
+- Precision: 0.9658
+- Recall: 0.9670
+- False Positive Rate: 0.0249
 
 ## Model description
 
@@ -48,17 +48,16 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 5
+- num_epochs: 4
 
 ### Training results
 
 | Training Loss | Epoch | Step  | Validation Loss | Accuracy | Precision | Recall | False Positive Rate |
 |:-------------:|:-----:|:-----:|:---------------:|:--------:|:---------:|:------:|:-------------------:|
-| 0.1491        | 1.0   | 3866  | 0.1317          | 0.9614   | 0.9623    | 0.9453 | 0.0269              |
-| 0.095         | 2.0   | 7732  | 0.1663          | 0.9628   | 0.9799    | 0.9306 | 0.0138              |
-| 0.0429        | 3.0   | 11598 | 0.1882          | 0.9659   | 0.9751    | 0.9430 | 0.0175              |
-| 0.0225        | 4.0   | 15464 | 0.1959          | 0.9698   | 0.9638    | 0.9645 | 0.0264              |
-| 0.0054        | 5.0   | 19330 | 0.2244          | 0.9701   | 0.9648    | 0.9642 | 0.0256              |
+| 0.1487        | 1.0   | 3866  | 0.1454          | 0.9596   | 0.9709    | 0.9320 | 0.0203              |
+| 0.0805        | 2.0   | 7732  | 0.1389          | 0.9691   | 0.9663    | 0.9601 | 0.0243              |
+| 0.0389        | 3.0   | 11598 | 0.1779          | 0.9683   | 0.9778    | 0.9461 | 0.0156              |
+| 0.0091        | 4.0   | 15464 | 0.1953          | 0.9717   | 0.9658    | 0.9670 | 0.0249              |
 
 
 ### Framework versions

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