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ThuyNT03
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xlm-roberta-base-Final_VietNam-aug_insert_synonym

Text Classification
Transformers
PyTorch
xlm-roberta
Generated from Trainer
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  1. README.md +11 -11
  2. pytorch_model.bin +1 -1
README.md CHANGED
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  This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 2.0556
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- - Accuracy: 0.71
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- - F1: 0.7188
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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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- | 0.265 | 1.0 | 87 | 1.3791 | 0.71 | 0.7195 |
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- | 0.1677 | 2.0 | 174 | 1.7376 | 0.69 | 0.7002 |
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- | 0.1215 | 3.0 | 261 | 2.0936 | 0.67 | 0.6824 |
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- | 0.0968 | 4.0 | 348 | 1.9209 | 0.71 | 0.7186 |
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- | 0.0643 | 5.0 | 435 | 2.0453 | 0.7 | 0.7069 |
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- | 0.0565 | 6.0 | 522 | 2.0470 | 0.71 | 0.7203 |
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- | 0.039 | 7.0 | 609 | 2.0292 | 0.72 | 0.7270 |
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- | 0.0331 | 8.0 | 696 | 2.0556 | 0.71 | 0.7188 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.0797
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+ - Accuracy: 0.76
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+ - F1: 0.7646
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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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+ | 1.0701 | 1.0 | 87 | 1.0366 | 0.52 | 0.4318 |
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+ | 0.867 | 2.0 | 174 | 0.7789 | 0.68 | 0.6607 |
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+ | 0.6041 | 3.0 | 261 | 0.7027 | 0.71 | 0.7149 |
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+ | 0.4334 | 4.0 | 348 | 0.7618 | 0.74 | 0.7429 |
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+ | 0.3054 | 5.0 | 435 | 0.7701 | 0.72 | 0.7208 |
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+ | 0.2288 | 6.0 | 522 | 0.9844 | 0.72 | 0.7249 |
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+ | 0.1817 | 7.0 | 609 | 1.0040 | 0.73 | 0.7358 |
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+ | 0.1369 | 8.0 | 696 | 1.0797 | 0.76 | 0.7646 |
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  ### Framework versions
pytorch_model.bin CHANGED
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