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ThuyNT03
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PhoBERT-Final_Mixed-aug_delete-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: 1.2856
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- - Accuracy: 0.67
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- - F1: 0.6793
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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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- | 0.8888 | 1.0 | 87 | 0.7251 | 0.66 | 0.6234 |
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- | 0.5843 | 2.0 | 174 | 0.6946 | 0.72 | 0.7261 |
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- | 0.3911 | 3.0 | 261 | 0.7680 | 0.68 | 0.6867 |
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- | 0.2678 | 4.0 | 348 | 0.8719 | 0.69 | 0.7012 |
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- | 0.1904 | 5.0 | 435 | 1.0179 | 0.7 | 0.7063 |
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- | 0.1384 | 6.0 | 522 | 1.1530 | 0.72 | 0.7264 |
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- | 0.1254 | 7.0 | 609 | 1.2665 | 0.69 | 0.6976 |
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- | 0.0992 | 8.0 | 696 | 1.2856 | 0.67 | 0.6793 |
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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: 1.1448
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+ - Accuracy: 0.71
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+ - F1: 0.7085
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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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+ | 0.9286 | 1.0 | 88 | 0.7463 | 0.64 | 0.6201 |
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+ | 0.6411 | 2.0 | 176 | 0.7227 | 0.7 | 0.6922 |
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+ | 0.4576 | 3.0 | 264 | 0.7157 | 0.69 | 0.6887 |
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+ | 0.3081 | 4.0 | 352 | 0.9218 | 0.67 | 0.6559 |
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+ | 0.2039 | 5.0 | 440 | 0.9434 | 0.69 | 0.6866 |
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+ | 0.1494 | 6.0 | 528 | 1.0428 | 0.7 | 0.6967 |
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+ | 0.1042 | 7.0 | 616 | 1.1137 | 0.71 | 0.7085 |
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+ | 0.0829 | 8.0 | 704 | 1.1448 | 0.71 | 0.7085 |
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  ### Framework versions
pytorch_model.bin CHANGED
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