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ThuyNT03
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PhoBERT-Final_Mixed-aug_insert_BERT-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: 1.1979
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- - Accuracy: 0.72
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- - F1: 0.7286
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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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- | 0.877 | 1.0 | 87 | 0.7809 | 0.69 | 0.6665 |
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- | 0.5854 | 2.0 | 174 | 0.6789 | 0.71 | 0.7107 |
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- | 0.4361 | 3.0 | 261 | 0.7114 | 0.7 | 0.7034 |
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- | 0.2972 | 4.0 | 348 | 0.7913 | 0.73 | 0.7392 |
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- | 0.2068 | 5.0 | 435 | 0.9628 | 0.71 | 0.7195 |
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- | 0.1455 | 6.0 | 522 | 1.0938 | 0.7 | 0.7111 |
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- | 0.1069 | 7.0 | 609 | 1.1902 | 0.72 | 0.7286 |
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- | 0.0843 | 8.0 | 696 | 1.1979 | 0.72 | 0.7286 |
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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: 1.0732
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+ - Accuracy: 0.7
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+ - F1: 0.7004
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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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+ | 0.944 | 1.0 | 88 | 0.8199 | 0.66 | 0.6427 |
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+ | 0.6694 | 2.0 | 176 | 0.7223 | 0.7 | 0.7007 |
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+ | 0.4933 | 3.0 | 264 | 0.7039 | 0.73 | 0.7321 |
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+ | 0.3532 | 4.0 | 352 | 0.7914 | 0.73 | 0.7297 |
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+ | 0.2619 | 5.0 | 440 | 0.8506 | 0.72 | 0.7176 |
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+ | 0.1807 | 6.0 | 528 | 0.9830 | 0.71 | 0.7090 |
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+ | 0.1365 | 7.0 | 616 | 1.0183 | 0.7 | 0.7016 |
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+ | 0.1035 | 8.0 | 704 | 1.0732 | 0.7 | 0.7004 |
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  ### Framework versions
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