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ThuyNT03
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PhoBERT-Final_Mixed-aug_swap-1

Text Classification
Transformers
PyTorch
roberta
Generated from Trainer
Inference Endpoints
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8076902
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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: 1.5070
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- - Accuracy: 0.67
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- - F1: 0.6765
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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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- | 0.8728 | 1.0 | 86 | 0.7596 | 0.65 | 0.6299 |
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- | 0.5295 | 2.0 | 172 | 0.7388 | 0.68 | 0.6809 |
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- | 0.3301 | 3.0 | 258 | 0.8290 | 0.69 | 0.6970 |
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- | 0.205 | 4.0 | 344 | 1.0404 | 0.68 | 0.6885 |
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- | 0.1381 | 5.0 | 430 | 1.1790 | 0.67 | 0.6805 |
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- | 0.1169 | 6.0 | 516 | 1.3452 | 0.69 | 0.6982 |
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- | 0.0806 | 7.0 | 602 | 1.4910 | 0.67 | 0.6765 |
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- | 0.0762 | 8.0 | 688 | 1.5070 | 0.67 | 0.6765 |
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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: 1.2440
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+ - Accuracy: 0.69
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+ - F1: 0.6896
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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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+ | 0.8972 | 1.0 | 87 | 0.7698 | 0.62 | 0.5744 |
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+ | 0.5881 | 2.0 | 174 | 0.7581 | 0.64 | 0.6314 |
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+ | 0.3953 | 3.0 | 261 | 0.8167 | 0.68 | 0.6791 |
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+ | 0.2472 | 4.0 | 348 | 0.8476 | 0.74 | 0.7435 |
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+ | 0.1639 | 5.0 | 435 | 1.0144 | 0.71 | 0.7139 |
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+ | 0.0969 | 6.0 | 522 | 1.1456 | 0.7 | 0.7004 |
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+ | 0.079 | 7.0 | 609 | 1.1831 | 0.7 | 0.7009 |
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+ | 0.0576 | 8.0 | 696 | 1.2440 | 0.69 | 0.6896 |
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  ### Framework versions
pytorch_model.bin CHANGED
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