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update readme

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  1. README.md +20 -17
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@@ -6,6 +6,9 @@ tags:
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  - generated_from_trainer
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  datasets:
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  - allocine
 
 
 
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  metrics:
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  - accuracy
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  - f1
@@ -81,23 +84,23 @@ The following hyperparameters were used during training:
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
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- |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
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- | 0.1504 | 0.2 | 500 | 0.1290 | 0.9555 | 0.9542 | 0.9614 | 0.9470 |
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- | 0.1334 | 0.4 | 1000 | 0.1049 | 0.9624 | 0.9619 | 0.9536 | 0.9703 |
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- | 0.1158 | 0.6 | 1500 | 0.1052 | 0.963 | 0.9627 | 0.9498 | 0.9760 |
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- | 0.1153 | 0.8 | 2000 | 0.0949 | 0.9661 | 0.9653 | 0.9686 | 0.9620 |
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- | 0.1053 | 1.0 | 2500 | 0.0936 | 0.9666 | 0.9663 | 0.9542 | 0.9788 |
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- | 0.0755 | 1.2 | 3000 | 0.0987 | 0.97 | 0.9695 | 0.9644 | 0.9748 |
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- | 0.0716 | 1.4 | 3500 | 0.1078 | 0.9688 | 0.9684 | 0.9598 | 0.9772 |
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- | 0.0688 | 1.6 | 4000 | 0.1051 | 0.9673 | 0.9670 | 0.9552 | 0.9792 |
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- | 0.0691 | 1.8 | 4500 | 0.0940 | 0.9709 | 0.9704 | 0.9688 | 0.9720 |
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- | 0.0733 | 2.0 | 5000 | 0.1038 | 0.9686 | 0.9683 | 0.9558 | 0.9812 |
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- | 0.0476 | 2.2 | 5500 | 0.1066 | 0.9714 | 0.9710 | 0.9648 | 0.9772 |
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- | 0.047 | 2.4 | 6000 | 0.1098 | 0.9689 | 0.9686 | 0.9587 | 0.9788 |
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- | 0.0431 | 2.6 | 6500 | 0.1110 | 0.9711 | 0.9706 | 0.9666 | 0.9747 |
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- | 0.0464 | 2.8 | 7000 | 0.1149 | 0.9697 | 0.9694 | 0.9592 | 0.9798 |
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- | 0.0342 | 3.0 | 7500 | 0.1122 | 0.9703 | 0.9699 | 0.9621 | 0.9778 |
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  ### Framework versions
 
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  - generated_from_trainer
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  datasets:
8
  - allocine
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+ widget:
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+ - text: "Un film magnifique avec un duo d'acteurs excellent."
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+ - text: "Grosse déception pour ce thriller qui peine à convaincre."
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  metrics:
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  - accuracy
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  - f1
 
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
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+ | :-----------: | :---: | :---: | :-------------: | :------: | :----: | :-------: | :----: |
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+ | 0.1504 | 0.2 | 500 | 0.1290 | 0.9555 | 0.9542 | 0.9614 | 0.9470 |
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+ | 0.1334 | 0.4 | 1000 | 0.1049 | 0.9624 | 0.9619 | 0.9536 | 0.9703 |
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+ | 0.1158 | 0.6 | 1500 | 0.1052 | 0.963 | 0.9627 | 0.9498 | 0.9760 |
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+ | 0.1153 | 0.8 | 2000 | 0.0949 | 0.9661 | 0.9653 | 0.9686 | 0.9620 |
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+ | 0.1053 | 1.0 | 2500 | 0.0936 | 0.9666 | 0.9663 | 0.9542 | 0.9788 |
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+ | 0.0755 | 1.2 | 3000 | 0.0987 | 0.97 | 0.9695 | 0.9644 | 0.9748 |
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+ | 0.0716 | 1.4 | 3500 | 0.1078 | 0.9688 | 0.9684 | 0.9598 | 0.9772 |
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+ | 0.0688 | 1.6 | 4000 | 0.1051 | 0.9673 | 0.9670 | 0.9552 | 0.9792 |
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+ | 0.0691 | 1.8 | 4500 | 0.0940 | 0.9709 | 0.9704 | 0.9688 | 0.9720 |
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+ | 0.0733 | 2.0 | 5000 | 0.1038 | 0.9686 | 0.9683 | 0.9558 | 0.9812 |
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+ | 0.0476 | 2.2 | 5500 | 0.1066 | 0.9714 | 0.9710 | 0.9648 | 0.9772 |
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+ | 0.047 | 2.4 | 6000 | 0.1098 | 0.9689 | 0.9686 | 0.9587 | 0.9788 |
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+ | 0.0431 | 2.6 | 6500 | 0.1110 | 0.9711 | 0.9706 | 0.9666 | 0.9747 |
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+ | 0.0464 | 2.8 | 7000 | 0.1149 | 0.9697 | 0.9694 | 0.9592 | 0.9798 |
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+ | 0.0342 | 3.0 | 7500 | 0.1122 | 0.9703 | 0.9699 | 0.9621 | 0.9778 |
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  ### Framework versions