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ThuyNT03
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PhoBERT-Final_Mixed-aug_backtranslation-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: 1.1895
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- - Accuracy: 0.71
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- - F1: 0.7168
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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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- | 0.8611 | 1.0 | 86 | 0.6930 | 0.69 | 0.6660 |
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- | 0.5374 | 2.0 | 172 | 0.6692 | 0.72 | 0.7201 |
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- | 0.3615 | 3.0 | 258 | 0.7942 | 0.72 | 0.7249 |
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- | 0.2435 | 4.0 | 344 | 0.8958 | 0.71 | 0.7169 |
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- | 0.1793 | 5.0 | 430 | 1.0115 | 0.72 | 0.7256 |
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- | 0.153 | 6.0 | 516 | 1.0978 | 0.74 | 0.7410 |
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- | 0.1133 | 7.0 | 602 | 1.1828 | 0.68 | 0.6897 |
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- | 0.1031 | 8.0 | 688 | 1.1895 | 0.71 | 0.7168 |
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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: 1.1341
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+ - Accuracy: 0.74
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+ - F1: 0.7394
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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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+ | 0.9141 | 1.0 | 87 | 0.7614 | 0.66 | 0.6406 |
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+ | 0.6131 | 2.0 | 174 | 0.6805 | 0.74 | 0.74 |
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+ | 0.4267 | 3.0 | 261 | 0.7192 | 0.74 | 0.7385 |
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+ | 0.2938 | 4.0 | 348 | 0.8398 | 0.7 | 0.6989 |
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+ | 0.1957 | 5.0 | 435 | 0.9773 | 0.74 | 0.7385 |
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+ | 0.158 | 6.0 | 522 | 1.0364 | 0.73 | 0.7271 |
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+ | 0.1052 | 7.0 | 609 | 1.1180 | 0.73 | 0.73 |
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+ | 0.0954 | 8.0 | 696 | 1.1341 | 0.74 | 0.7394 |
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  ### Framework versions
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