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ThuyNT03
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PhoBERT-Final_Mixed-aug_replace_synonym-1

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: 1.2336
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- - Accuracy: 0.71
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- - F1: 0.7194
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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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- | 0.9095 | 1.0 | 86 | 0.6969 | 0.71 | 0.6954 |
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- | 0.5659 | 2.0 | 172 | 0.6225 | 0.75 | 0.7554 |
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- | 0.3822 | 3.0 | 258 | 0.7074 | 0.7 | 0.7072 |
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- | 0.2448 | 4.0 | 344 | 0.8455 | 0.73 | 0.7337 |
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- | 0.1821 | 5.0 | 430 | 0.9540 | 0.72 | 0.7264 |
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- | 0.1278 | 6.0 | 516 | 1.1162 | 0.71 | 0.7161 |
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- | 0.1027 | 7.0 | 602 | 1.2176 | 0.7 | 0.7074 |
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- | 0.0836 | 8.0 | 688 | 1.2336 | 0.71 | 0.7194 |
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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: 1.1974
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+ - Accuracy: 0.68
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+ - F1: 0.6775
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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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+ | 0.9517 | 1.0 | 87 | 0.7514 | 0.66 | 0.6270 |
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+ | 0.67 | 2.0 | 174 | 0.7394 | 0.69 | 0.6814 |
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+ | 0.4899 | 3.0 | 261 | 0.7871 | 0.69 | 0.6812 |
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+ | 0.3787 | 4.0 | 348 | 0.8098 | 0.7 | 0.6957 |
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+ | 0.2649 | 5.0 | 435 | 0.9906 | 0.71 | 0.7045 |
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+ | 0.2069 | 6.0 | 522 | 1.0679 | 0.69 | 0.6886 |
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+ | 0.1483 | 7.0 | 609 | 1.1639 | 0.67 | 0.6669 |
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+ | 0.119 | 8.0 | 696 | 1.1974 | 0.68 | 0.6775 |
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  ### Framework versions
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