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ThuyNT03
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PhoBERT-Final_Mixed-aug_replace_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: 0.8919
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- - Accuracy: 0.74
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- - F1: 0.7436
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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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- | 0.9586 | 1.0 | 87 | 0.7412 | 0.65 | 0.6130 |
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- | 0.7172 | 2.0 | 174 | 0.6653 | 0.7 | 0.6840 |
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- | 0.5667 | 3.0 | 261 | 0.6567 | 0.72 | 0.7191 |
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- | 0.4208 | 4.0 | 348 | 0.7138 | 0.77 | 0.7686 |
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- | 0.3339 | 5.0 | 435 | 0.6975 | 0.75 | 0.7509 |
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- | 0.2589 | 6.0 | 522 | 0.8100 | 0.72 | 0.7307 |
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- | 0.1958 | 7.0 | 609 | 0.8663 | 0.76 | 0.7658 |
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- | 0.189 | 8.0 | 696 | 0.8919 | 0.74 | 0.7436 |
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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: 0.9783
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+ - Accuracy: 0.7
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+ - F1: 0.6953
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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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+ | 0.9709 | 1.0 | 88 | 0.7751 | 0.71 | 0.7004 |
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+ | 0.7328 | 2.0 | 176 | 0.7444 | 0.72 | 0.7110 |
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+ | 0.5756 | 3.0 | 264 | 0.7369 | 0.72 | 0.7100 |
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+ | 0.4436 | 4.0 | 352 | 0.7851 | 0.71 | 0.7024 |
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+ | 0.3441 | 5.0 | 440 | 0.8120 | 0.7 | 0.6967 |
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+ | 0.2631 | 6.0 | 528 | 0.8517 | 0.71 | 0.7054 |
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+ | 0.2097 | 7.0 | 616 | 0.9411 | 0.71 | 0.7079 |
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+ | 0.1771 | 8.0 | 704 | 0.9783 | 0.7 | 0.6953 |
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  ### Framework versions
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