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ThuyNT03
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xlm-roberta-base-Mixed-aug_insert_vi

Text Classification
Transformers
PyTorch
xlm-roberta
Generated from Trainer
Inference Endpoints
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ThuyNT03 commited on
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  1. README.md +8 -8
  2. pytorch_model.bin +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -18,9 +18,9 @@ should probably proofread and complete it, then remove this comment. -->
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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: 0.5221
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- - Accuracy: 0.79
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- - F1: 0.7737
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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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- | 0.9086 | 1.0 | 82 | 0.6185 | 0.79 | 0.7439 |
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- | 0.6351 | 2.0 | 164 | 0.4573 | 0.81 | 0.7858 |
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- | 0.4828 | 3.0 | 246 | 0.4669 | 0.79 | 0.7899 |
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- | 0.3772 | 4.0 | 328 | 0.4307 | 0.79 | 0.7676 |
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- | 0.2987 | 5.0 | 410 | 0.5221 | 0.79 | 0.7737 |
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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: 0.5693
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+ - Accuracy: 0.81
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+ - F1: 0.7858
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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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+ | 0.9098 | 1.0 | 82 | 0.6306 | 0.75 | 0.7083 |
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+ | 0.6867 | 2.0 | 164 | 0.7511 | 0.77 | 0.7175 |
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+ | 0.5754 | 3.0 | 246 | 0.5041 | 0.82 | 0.7719 |
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+ | 0.4309 | 4.0 | 328 | 0.5971 | 0.8 | 0.7754 |
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+ | 0.3739 | 5.0 | 410 | 0.5693 | 0.81 | 0.7858 |
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  ### Framework versions
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