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ThuyNT03
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PhoBERT-Final_Mixed-aug_replace_tfidf-2

Text Classification
Transformers
PyTorch
roberta
Generated from Trainer
Inference Endpoints
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  1. README.md +10 -10
  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: 0.9385
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  - Accuracy: 0.71
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- - F1: 0.7133
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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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- | 0.9724 | 1.0 | 87 | 0.7979 | 0.66 | 0.6033 |
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- | 0.7211 | 2.0 | 174 | 0.7031 | 0.69 | 0.6652 |
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- | 0.5768 | 3.0 | 261 | 0.6946 | 0.72 | 0.7216 |
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- | 0.4375 | 4.0 | 348 | 0.7127 | 0.67 | 0.6775 |
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- | 0.314 | 5.0 | 435 | 0.7594 | 0.7 | 0.7068 |
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- | 0.251 | 6.0 | 522 | 0.8365 | 0.71 | 0.7160 |
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- | 0.1798 | 7.0 | 609 | 0.9003 | 0.71 | 0.7165 |
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- | 0.1749 | 8.0 | 696 | 0.9385 | 0.71 | 0.7133 |
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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: 0.8971
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  - Accuracy: 0.71
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+ - F1: 0.7064
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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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+ | 1.0056 | 1.0 | 88 | 0.8277 | 0.67 | 0.6501 |
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+ | 0.7703 | 2.0 | 176 | 0.7912 | 0.57 | 0.5253 |
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+ | 0.642 | 3.0 | 264 | 0.7158 | 0.71 | 0.7036 |
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+ | 0.5139 | 4.0 | 352 | 0.6648 | 0.73 | 0.7272 |
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+ | 0.3862 | 5.0 | 440 | 0.7784 | 0.72 | 0.7150 |
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+ | 0.3029 | 6.0 | 528 | 0.8894 | 0.7 | 0.6924 |
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+ | 0.2315 | 7.0 | 616 | 0.8696 | 0.71 | 0.7050 |
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+ | 0.1903 | 8.0 | 704 | 0.8971 | 0.71 | 0.7064 |
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  ### Framework versions
pytorch_model.bin CHANGED
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