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ThuyNT03
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PhoBERT-Final_Mixed-aug_insert_tfidf-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: 1.3291
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- - Accuracy: 0.7
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- - F1: 0.7078
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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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- | 0.8766 | 1.0 | 87 | 0.6882 | 0.73 | 0.7304 |
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- | 0.5162 | 2.0 | 174 | 0.6549 | 0.74 | 0.7429 |
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- | 0.3162 | 3.0 | 261 | 0.7789 | 0.72 | 0.7270 |
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- | 0.2051 | 4.0 | 348 | 0.9573 | 0.67 | 0.6755 |
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- | 0.1572 | 5.0 | 435 | 1.1190 | 0.69 | 0.7008 |
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- | 0.1101 | 6.0 | 522 | 1.3021 | 0.69 | 0.6986 |
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- | 0.0763 | 7.0 | 609 | 1.3159 | 0.7 | 0.7078 |
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- | 0.0788 | 8.0 | 696 | 1.3291 | 0.7 | 0.7078 |
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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: 1.1845
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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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+ | 0.9115 | 1.0 | 88 | 0.7285 | 0.71 | 0.6983 |
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+ | 0.5972 | 2.0 | 176 | 0.7379 | 0.73 | 0.7238 |
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+ | 0.3991 | 3.0 | 264 | 0.7867 | 0.72 | 0.7169 |
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+ | 0.2894 | 4.0 | 352 | 0.8736 | 0.73 | 0.7310 |
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+ | 0.2112 | 5.0 | 440 | 0.9920 | 0.74 | 0.7403 |
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+ | 0.1393 | 6.0 | 528 | 1.0496 | 0.75 | 0.7486 |
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+ | 0.1191 | 7.0 | 616 | 1.1640 | 0.72 | 0.7177 |
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+ | 0.098 | 8.0 | 704 | 1.1845 | 0.71 | 0.7075 |
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  ### Framework versions
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