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update model card README.md

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@@ -15,8 +15,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [Tanor/BERTicSENTNEG4](https://huggingface.co/Tanor/BERTicSENTNEG4) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0842
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- - F1: 0.6275
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  ## Model description
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@@ -49,38 +49,13 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|
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- | No log | 1.0 | 53 | 0.0668 | 0.0 |
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- | No log | 2.0 | 106 | 0.0432 | 0.6383 |
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- | No log | 3.0 | 159 | 0.0400 | 0.5714 |
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- | No log | 4.0 | 212 | 0.0458 | 0.5957 |
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- | No log | 5.0 | 265 | 0.0444 | 0.5882 |
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- | No log | 6.0 | 318 | 0.0556 | 0.5957 |
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- | No log | 7.0 | 371 | 0.0566 | 0.5714 |
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- | No log | 8.0 | 424 | 0.0587 | 0.5862 |
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- | No log | 9.0 | 477 | 0.0566 | 0.5660 |
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- | 0.0389 | 10.0 | 530 | 0.0693 | 0.5455 |
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- | 0.0389 | 11.0 | 583 | 0.0612 | 0.6383 |
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- | 0.0389 | 12.0 | 636 | 0.0596 | 0.6 |
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- | 0.0389 | 13.0 | 689 | 0.0671 | 0.6038 |
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- | 0.0389 | 14.0 | 742 | 0.0740 | 0.5957 |
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- | 0.0389 | 15.0 | 795 | 0.0799 | 0.5778 |
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- | 0.0389 | 16.0 | 848 | 0.0702 | 0.5957 |
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- | 0.0389 | 17.0 | 901 | 0.0737 | 0.6087 |
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- | 0.0389 | 18.0 | 954 | 0.0674 | 0.5660 |
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- | 0.0053 | 19.0 | 1007 | 0.0725 | 0.5957 |
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- | 0.0053 | 20.0 | 1060 | 0.0738 | 0.6 |
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- | 0.0053 | 21.0 | 1113 | 0.0821 | 0.625 |
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- | 0.0053 | 22.0 | 1166 | 0.0737 | 0.6 |
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- | 0.0053 | 23.0 | 1219 | 0.0828 | 0.6122 |
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- | 0.0053 | 24.0 | 1272 | 0.0776 | 0.6182 |
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- | 0.0053 | 25.0 | 1325 | 0.0792 | 0.6182 |
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- | 0.0053 | 26.0 | 1378 | 0.0791 | 0.6275 |
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- | 0.0053 | 27.0 | 1431 | 0.0812 | 0.6275 |
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- | 0.0053 | 28.0 | 1484 | 0.0819 | 0.6038 |
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- | 0.0029 | 29.0 | 1537 | 0.0831 | 0.6275 |
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- | 0.0029 | 30.0 | 1590 | 0.0834 | 0.6275 |
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- | 0.0029 | 31.0 | 1643 | 0.0837 | 0.6275 |
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- | 0.0029 | 32.0 | 1696 | 0.0842 | 0.6275 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [Tanor/BERTicSENTNEG4](https://huggingface.co/Tanor/BERTicSENTNEG4) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0501
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+ - F1: 0.6
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|
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+ | No log | 1.0 | 53 | 0.0846 | 0.0 |
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+ | No log | 2.0 | 106 | 0.0477 | 0.1538 |
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+ | No log | 3.0 | 159 | 0.0438 | 0.6087 |
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+ | No log | 4.0 | 212 | 0.0421 | 0.5778 |
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+ | No log | 5.0 | 265 | 0.0442 | 0.5778 |
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+ | No log | 6.0 | 318 | 0.0477 | 0.5909 |
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+ | No log | 7.0 | 371 | 0.0501 | 0.6 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions