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ThuyNT03
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PhoBERT-Final_Mixed-aug_swap-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: 1.2527
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- - Accuracy: 0.7
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- - F1: 0.7091
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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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- | 0.8968 | 1.0 | 86 | 0.7005 | 0.68 | 0.6386 |
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- | 0.5324 | 2.0 | 172 | 0.6756 | 0.72 | 0.7272 |
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- | 0.3248 | 3.0 | 258 | 0.7112 | 0.75 | 0.7482 |
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- | 0.2139 | 4.0 | 344 | 0.8172 | 0.75 | 0.7545 |
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- | 0.1439 | 5.0 | 430 | 0.9876 | 0.7 | 0.7041 |
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- | 0.108 | 6.0 | 516 | 1.1343 | 0.72 | 0.7280 |
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- | 0.0784 | 7.0 | 602 | 1.1912 | 0.7 | 0.7091 |
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- | 0.0688 | 8.0 | 688 | 1.2527 | 0.7 | 0.7091 |
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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: 1.2624
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+ - Accuracy: 0.71
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+ - F1: 0.7075
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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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+ | 0.906 | 1.0 | 87 | 0.7880 | 0.67 | 0.6557 |
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+ | 0.5944 | 2.0 | 174 | 0.8198 | 0.69 | 0.6786 |
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+ | 0.4127 | 3.0 | 261 | 0.8044 | 0.71 | 0.7053 |
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+ | 0.2719 | 4.0 | 348 | 0.9142 | 0.7 | 0.6980 |
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+ | 0.1623 | 5.0 | 435 | 1.1387 | 0.71 | 0.7053 |
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+ | 0.1255 | 6.0 | 522 | 1.1994 | 0.68 | 0.6762 |
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+ | 0.1075 | 7.0 | 609 | 1.2626 | 0.68 | 0.6758 |
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+ | 0.0696 | 8.0 | 696 | 1.2624 | 0.71 | 0.7075 |
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  ### Framework versions
pytorch_model.bin CHANGED
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