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ThuyNT03
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PhoBERT-Final_Mixed-aug_replace_BERT-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: 0.8944
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- - Accuracy: 0.75
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- - F1: 0.7551
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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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- | 0.9627 | 1.0 | 87 | 0.7663 | 0.68 | 0.6353 |
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- | 0.7176 | 2.0 | 174 | 0.6734 | 0.71 | 0.7097 |
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- | 0.5632 | 3.0 | 261 | 0.6747 | 0.72 | 0.7207 |
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- | 0.4431 | 4.0 | 348 | 0.6983 | 0.74 | 0.7427 |
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- | 0.3366 | 5.0 | 435 | 0.7526 | 0.72 | 0.7233 |
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- | 0.2602 | 6.0 | 522 | 0.8581 | 0.71 | 0.7165 |
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- | 0.1855 | 7.0 | 609 | 0.8656 | 0.73 | 0.7360 |
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- | 0.159 | 8.0 | 696 | 0.8944 | 0.75 | 0.7551 |
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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: 0.9104
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+ - Accuracy: 0.7
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+ - F1: 0.6961
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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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+ | 0.9733 | 1.0 | 88 | 0.7845 | 0.65 | 0.6367 |
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+ | 0.7476 | 2.0 | 176 | 0.7677 | 0.67 | 0.6638 |
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+ | 0.5987 | 3.0 | 264 | 0.7065 | 0.74 | 0.7360 |
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+ | 0.4856 | 4.0 | 352 | 0.7206 | 0.7 | 0.6987 |
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+ | 0.3812 | 5.0 | 440 | 0.8077 | 0.71 | 0.7080 |
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+ | 0.3172 | 6.0 | 528 | 0.8131 | 0.73 | 0.7274 |
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+ | 0.2332 | 7.0 | 616 | 0.8747 | 0.71 | 0.7089 |
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+ | 0.2205 | 8.0 | 704 | 0.9104 | 0.7 | 0.6961 |
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  ### Framework versions
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