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ThuyNT03
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PhoBERT-Final_Mixed-aug_insert_tfidf-2

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: 1.2472
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- - Accuracy: 0.71
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- - F1: 0.7185
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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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- | 0.8716 | 1.0 | 87 | 0.7575 | 0.7 | 0.6880 |
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- | 0.536 | 2.0 | 174 | 0.6648 | 0.73 | 0.7343 |
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- | 0.3408 | 3.0 | 261 | 0.7799 | 0.74 | 0.7466 |
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- | 0.2169 | 4.0 | 348 | 0.9300 | 0.72 | 0.7287 |
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- | 0.1552 | 5.0 | 435 | 1.0334 | 0.72 | 0.7273 |
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- | 0.1095 | 6.0 | 522 | 1.1608 | 0.73 | 0.7397 |
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- | 0.087 | 7.0 | 609 | 1.2848 | 0.7 | 0.7091 |
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- | 0.0872 | 8.0 | 696 | 1.2472 | 0.71 | 0.7185 |
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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: 1.3038
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+ - Accuracy: 0.7
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+ - F1: 0.7020
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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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+ | 0.9304 | 1.0 | 88 | 0.7947 | 0.69 | 0.6829 |
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+ | 0.5906 | 2.0 | 176 | 0.7605 | 0.7 | 0.6974 |
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+ | 0.4155 | 3.0 | 264 | 0.7463 | 0.7 | 0.6984 |
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+ | 0.2607 | 4.0 | 352 | 0.8617 | 0.71 | 0.7111 |
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+ | 0.1595 | 5.0 | 440 | 1.0177 | 0.73 | 0.7307 |
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+ | 0.1181 | 6.0 | 528 | 1.1650 | 0.69 | 0.6884 |
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+ | 0.0651 | 7.0 | 616 | 1.2788 | 0.7 | 0.7020 |
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+ | 0.05 | 8.0 | 704 | 1.3038 | 0.7 | 0.7020 |
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  ### Framework versions
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