End of training

README.md

@@ -20,11 +20,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.7896
-- F1: 0.7010
-- Precision: 0.6973
-- Recall: 0.7284
-- Accuracy: 0.7284
+- Loss: 0.7978
+- F1: 0.6692
+- Precision: 0.6343
+- Recall: 0.7099
+- Accuracy: 0.7099
 
 ## Model description
 
@@ -55,9 +55,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | F1     | Precision | Recall | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:------:|:---------:|:------:|:--------:|
-| 1.3484        | 1.0   | 46   | 1.0508          | 0.6573 | 0.6266    | 0.6975 | 0.6975   |
-| 0.8889        | 2.0   | 92   | 0.8372          | 0.6694 | 0.6792    | 0.7037 | 0.7037   |
-| 0.6938        | 3.0   | 138  | 0.7896          | 0.7010 | 0.6973    | 0.7284 | 0.7284   |
+| 1.365         | 1.0   | 46   | 1.1002          | 0.6205 | 0.5925    | 0.6543 | 0.6543   |
+| 0.9613        | 2.0   | 92   | 0.8974          | 0.6263 | 0.6046    | 0.6605 | 0.6605   |
+| 0.7465        | 3.0   | 138  | 0.7978          | 0.6692 | 0.6343    | 0.7099 | 0.7099   |
 
 
 ### Framework versions

pytorch_model.bin

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training_args.bin

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 size 4027