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Training completed!

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  1. README.md +11 -11
  2. pytorch_model.bin +1 -1
README.md CHANGED
@@ -17,9 +17,9 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [vinai/phobert-base-v2](https://huggingface.co/vinai/phobert-base-v2) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.1350
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- - Accuracy: 0.71
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- - F1: 0.7200
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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- | 0.8796 | 1.0 | 86 | 0.7135 | 0.66 | 0.6205 |
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- | 0.5395 | 2.0 | 172 | 0.6899 | 0.7 | 0.7048 |
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- | 0.3764 | 3.0 | 258 | 0.7563 | 0.72 | 0.7242 |
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- | 0.2684 | 4.0 | 344 | 0.8326 | 0.73 | 0.7405 |
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- | 0.1851 | 5.0 | 430 | 1.0206 | 0.68 | 0.6880 |
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- | 0.14 | 6.0 | 516 | 1.0896 | 0.71 | 0.7195 |
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- | 0.1242 | 7.0 | 602 | 1.1355 | 0.72 | 0.7290 |
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- | 0.1037 | 8.0 | 688 | 1.1350 | 0.71 | 0.7200 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [vinai/phobert-base-v2](https://huggingface.co/vinai/phobert-base-v2) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.0525
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+ - Accuracy: 0.69
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+ - F1: 0.6891
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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+ | 0.9186 | 1.0 | 87 | 0.7637 | 0.72 | 0.7176 |
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+ | 0.6008 | 2.0 | 174 | 0.6915 | 0.69 | 0.6893 |
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+ | 0.436 | 3.0 | 261 | 0.7517 | 0.73 | 0.7310 |
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+ | 0.3092 | 4.0 | 348 | 0.8925 | 0.7 | 0.6927 |
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+ | 0.1923 | 5.0 | 435 | 0.9679 | 0.68 | 0.6767 |
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+ | 0.1371 | 6.0 | 522 | 1.0023 | 0.71 | 0.7091 |
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+ | 0.1003 | 7.0 | 609 | 1.0508 | 0.68 | 0.6778 |
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+ | 0.0796 | 8.0 | 696 | 1.0525 | 0.69 | 0.6891 |
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  ### Framework versions
pytorch_model.bin CHANGED
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