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ThuyNT03
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PhoBERT-Final_Mixed-aug_insert_BERT-1

Text Classification
Transformers
PyTorch
roberta
Generated from Trainer
Inference Endpoints
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Training completed!

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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: 1.2876
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- - Accuracy: 0.66
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- - F1: 0.6737
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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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- | 0.8758 | 1.0 | 87 | 0.7479 | 0.67 | 0.6552 |
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- | 0.5767 | 2.0 | 174 | 0.6555 | 0.74 | 0.7384 |
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- | 0.4132 | 3.0 | 261 | 0.7503 | 0.75 | 0.7532 |
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- | 0.2927 | 4.0 | 348 | 0.8208 | 0.68 | 0.6890 |
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- | 0.2246 | 5.0 | 435 | 1.0222 | 0.68 | 0.6927 |
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- | 0.1536 | 6.0 | 522 | 1.1675 | 0.67 | 0.6839 |
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- | 0.1218 | 7.0 | 609 | 1.2362 | 0.66 | 0.6737 |
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- | 0.1142 | 8.0 | 696 | 1.2876 | 0.66 | 0.6737 |
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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: 1.1594
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+ - Accuracy: 0.72
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+ - F1: 0.7195
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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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+ | 0.9312 | 1.0 | 88 | 0.7278 | 0.68 | 0.6701 |
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+ | 0.6476 | 2.0 | 176 | 0.7024 | 0.71 | 0.7039 |
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+ | 0.4815 | 3.0 | 264 | 0.7657 | 0.7 | 0.6959 |
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+ | 0.341 | 4.0 | 352 | 0.8302 | 0.7 | 0.6994 |
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+ | 0.2368 | 5.0 | 440 | 0.8699 | 0.72 | 0.7229 |
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+ | 0.1705 | 6.0 | 528 | 1.0489 | 0.71 | 0.7094 |
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+ | 0.1169 | 7.0 | 616 | 1.1685 | 0.71 | 0.7094 |
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+ | 0.1176 | 8.0 | 704 | 1.1594 | 0.72 | 0.7195 |
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  ### Framework versions
pytorch_model.bin CHANGED
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