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V2_20230929-2-xlm-roberta-base-new

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xlm-roberta
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End of training

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  1. README.md +12 -11
  2. pytorch_model.bin +1 -1
README.md CHANGED
@@ -17,8 +17,8 @@ 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 an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Accuracy: 0.4158
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- - Loss: 3.3415
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  ## Model description
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@@ -49,15 +49,16 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Accuracy | Validation Loss |
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  |:-------------:|:-----:|:----:|:--------:|:---------------:|
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- | 4.3761 | 1.54 | 200 | 0.2773 | 4.1677 |
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- | 3.8812 | 3.08 | 400 | 0.3129 | 4.0972 |
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- | 3.5959 | 4.62 | 600 | 0.3828 | 3.7129 |
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- | 3.3473 | 6.15 | 800 | 0.3674 | 3.4543 |
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- | 3.2195 | 7.69 | 1000 | 0.4380 | 3.2217 |
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- | 3.0757 | 9.23 | 1200 | 0.4082 | 3.2244 |
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- | 2.9862 | 10.77 | 1400 | 0.4120 | 3.2468 |
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- | 2.9427 | 12.31 | 1600 | 0.4153 | 3.0231 |
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- | 2.7756 | 13.85 | 1800 | 0.4158 | 3.3415 |
 
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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 an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Accuracy: 0.5039
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+ - Loss: 2.6835
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  ## Model description
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  | Training Loss | Epoch | Step | Accuracy | Validation Loss |
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  |:-------------:|:-----:|:----:|:--------:|:---------------:|
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+ | 4.4183 | 1.38 | 200 | 0.2930 | 4.0757 |
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+ | 3.8709 | 2.76 | 400 | 0.3965 | 3.5204 |
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+ | 3.5868 | 4.14 | 600 | 0.3966 | 3.6372 |
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+ | 3.4535 | 5.52 | 800 | 0.3861 | 3.1226 |
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+ | 3.2517 | 6.9 | 1000 | 0.5114 | 2.8287 |
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+ | 3.0993 | 8.28 | 1200 | 0.4145 | 3.1237 |
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+ | 2.9453 | 9.66 | 1400 | 0.4463 | 3.1327 |
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+ | 2.9466 | 11.03 | 1600 | 0.4464 | 2.9664 |
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+ | 2.88 | 12.41 | 1800 | 0.4900 | 2.7364 |
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+ | 2.8148 | 13.79 | 2000 | 0.5039 | 2.6835 |
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  ### Framework versions
pytorch_model.bin CHANGED
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