End of training

README.md

@@ -18,9 +18,9 @@ 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 the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6174
-- Accuracy: 0.708
-- F1: 0.7771
+- Loss: 0.5392
+- Accuracy: 0.734
+- F1: 0.8150
 
 ## Model description
 
@@ -45,17 +45,15 @@ 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: 3
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| 0.6322        | 1.0   | 501  | 0.5564          | 0.728    | 0.8140 |
-| 0.5787        | 2.0   | 1002 | 0.5288          | 0.756    | 0.8140 |
-| 0.5301        | 3.0   | 1503 | 0.5236          | 0.748    | 0.8053 |
-| 0.4717        | 4.0   | 2004 | 0.6008          | 0.702    | 0.7847 |
-| 0.4229        | 5.0   | 2505 | 0.6174          | 0.708    | 0.7771 |
+| 0.637         | 1.0   | 501  | 0.5618          | 0.704    | 0.8    |
+| 0.6183        | 2.0   | 1002 | 0.5491          | 0.717    | 0.8068 |
+| 0.6042        | 3.0   | 1503 | 0.5392          | 0.734    | 0.8150 |
 
 
 ### Framework versions

pytorch_model.bin

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