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ThuyNT03
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PhoBERT-Final_Mixed-aug_replace_synonym-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: 1.1108
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- - Accuracy: 0.7
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- - F1: 0.7072
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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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- | 0.9102 | 1.0 | 86 | 0.7921 | 0.63 | 0.5957 |
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- | 0.6112 | 2.0 | 172 | 0.6933 | 0.71 | 0.7005 |
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- | 0.4296 | 3.0 | 258 | 0.7167 | 0.74 | 0.7493 |
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- | 0.3036 | 4.0 | 344 | 0.8312 | 0.72 | 0.7166 |
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- | 0.2195 | 5.0 | 430 | 0.8734 | 0.69 | 0.6967 |
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- | 0.1485 | 6.0 | 516 | 1.0074 | 0.71 | 0.7165 |
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- | 0.1078 | 7.0 | 602 | 1.0937 | 0.7 | 0.7053 |
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- | 0.091 | 8.0 | 688 | 1.1108 | 0.7 | 0.7072 |
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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: 1.0785
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+ - Accuracy: 0.71
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+ - F1: 0.7107
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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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+ | 0.9487 | 1.0 | 87 | 0.8199 | 0.65 | 0.6439 |
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+ | 0.6757 | 2.0 | 174 | 0.7670 | 0.68 | 0.6589 |
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+ | 0.4716 | 3.0 | 261 | 0.7577 | 0.71 | 0.7099 |
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+ | 0.352 | 4.0 | 348 | 0.7988 | 0.71 | 0.7092 |
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+ | 0.241 | 5.0 | 435 | 0.9008 | 0.72 | 0.7218 |
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+ | 0.1783 | 6.0 | 522 | 0.9248 | 0.75 | 0.7514 |
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+ | 0.1221 | 7.0 | 609 | 1.0217 | 0.73 | 0.7313 |
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+ | 0.108 | 8.0 | 696 | 1.0785 | 0.71 | 0.7107 |
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  ### Framework versions
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