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ThuyNT03
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PhoBERT-Final_Mixed-aug_replace_BERT-2

Text Classification
Transformers
PyTorch
roberta
Generated from Trainer
Inference Endpoints
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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: 0.8771
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- - Accuracy: 0.68
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- - F1: 0.6880
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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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- | 0.9675 | 1.0 | 87 | 0.7837 | 0.68 | 0.6289 |
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- | 0.7189 | 2.0 | 174 | 0.7229 | 0.68 | 0.6540 |
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- | 0.6045 | 3.0 | 261 | 0.6666 | 0.73 | 0.7309 |
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- | 0.4607 | 4.0 | 348 | 0.6942 | 0.71 | 0.7180 |
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- | 0.3686 | 5.0 | 435 | 0.7645 | 0.7 | 0.7033 |
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- | 0.2765 | 6.0 | 522 | 0.7971 | 0.69 | 0.6973 |
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- | 0.2188 | 7.0 | 609 | 0.8628 | 0.7 | 0.7062 |
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- | 0.1851 | 8.0 | 696 | 0.8771 | 0.68 | 0.6880 |
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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: 0.9152
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+ - Accuracy: 0.69
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+ - F1: 0.6904
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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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+ | 0.9875 | 1.0 | 88 | 0.7870 | 0.66 | 0.6416 |
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+ | 0.7566 | 2.0 | 176 | 0.7744 | 0.68 | 0.6746 |
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+ | 0.6209 | 3.0 | 264 | 0.7497 | 0.69 | 0.6889 |
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+ | 0.486 | 4.0 | 352 | 0.7477 | 0.71 | 0.7082 |
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+ | 0.3713 | 5.0 | 440 | 0.7671 | 0.72 | 0.7198 |
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+ | 0.2809 | 6.0 | 528 | 0.8839 | 0.69 | 0.6869 |
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+ | 0.2235 | 7.0 | 616 | 0.8809 | 0.7 | 0.6989 |
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+ | 0.1745 | 8.0 | 704 | 0.9152 | 0.69 | 0.6904 |
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  ### Framework versions
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