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Update README.md

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@@ -37,7 +37,7 @@ At first, 4 epochs of training with a learning rate of 5e-5 was performed on the
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  After that, the weights were loaded in a new environment and another epoch of training was done (this time with a learning rate of 2e-5).
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  As the performance decreased in the fifth epoch, further training was discontinued.
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- After the 4th epoch, the model achieved a Macro F1 score of 53% on the test set, but the fifth epoch reduced the performance.
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  The model on commit "5b532728cef22ca9e9bacc8ff9f5687654d36bf3" attains the following scores on the test set:
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  - Accuracy: 0.4271236410539893
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  - Precision: 0.5101494353184485
 
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  After that, the weights were loaded in a new environment and another epoch of training was done (this time with a learning rate of 2e-5).
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  As the performance decreased in the fifth epoch, further training was discontinued.
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+ After the 4th epoch, the model achieved a macro-F1 score of 53% on the test set, but the fifth epoch reduced the performance.
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  The model on commit "5b532728cef22ca9e9bacc8ff9f5687654d36bf3" attains the following scores on the test set:
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  - Accuracy: 0.4271236410539893
43
  - Precision: 0.5101494353184485