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ThuyNT03
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PhoBERT-Final_Mixed-aug_replace_w2v-2

Text Classification
Transformers
PyTorch
roberta
Generated from Trainer
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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: 1.2163
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- - Accuracy: 0.66
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- - F1: 0.6693
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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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- | 0.923 | 1.0 | 84 | 0.7740 | 0.63 | 0.6027 |
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- | 0.6028 | 2.0 | 168 | 0.6747 | 0.69 | 0.6920 |
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- | 0.4285 | 3.0 | 252 | 0.7204 | 0.71 | 0.7139 |
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- | 0.3282 | 4.0 | 336 | 0.7519 | 0.69 | 0.7000 |
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- | 0.2309 | 5.0 | 420 | 0.8302 | 0.69 | 0.6970 |
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- | 0.1562 | 6.0 | 504 | 1.0497 | 0.66 | 0.6696 |
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- | 0.1158 | 7.0 | 588 | 1.1606 | 0.67 | 0.6771 |
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- | 0.0992 | 8.0 | 672 | 1.2163 | 0.66 | 0.6693 |
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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: 1.0071
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+ - Accuracy: 0.73
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+ - F1: 0.7272
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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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+ | 0.962 | 1.0 | 86 | 0.7741 | 0.72 | 0.7110 |
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+ | 0.6927 | 2.0 | 172 | 0.7040 | 0.67 | 0.6458 |
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+ | 0.5162 | 3.0 | 258 | 0.7437 | 0.72 | 0.7157 |
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+ | 0.3641 | 4.0 | 344 | 0.7528 | 0.74 | 0.7353 |
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+ | 0.244 | 5.0 | 430 | 0.8498 | 0.73 | 0.7262 |
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+ | 0.1787 | 6.0 | 516 | 0.8976 | 0.73 | 0.7290 |
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+ | 0.1143 | 7.0 | 602 | 0.9672 | 0.74 | 0.7378 |
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+ | 0.0887 | 8.0 | 688 | 1.0071 | 0.73 | 0.7272 |
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  ### Framework versions
pytorch_model.bin CHANGED
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