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franfj
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DIPROMATS_subtask_1_base_train

Text Classification
Transformers
PyTorch
Safetensors
xlm-roberta
Generated from Trainer
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End of training

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  1. README.md +12 -12
  2. pytorch_model.bin +1 -1
README.md CHANGED
@@ -16,8 +16,8 @@ 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 the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0650
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- - F1: 0.9786
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  ## Model description
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@@ -49,16 +49,16 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|
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- | 0.5298 | 1.0 | 46 | 0.5474 | 0.6476 |
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- | 0.4054 | 2.0 | 92 | 0.3447 | 0.8075 |
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- | 0.1121 | 3.0 | 138 | 0.2614 | 0.8747 |
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- | 0.3135 | 4.0 | 184 | 0.1970 | 0.9132 |
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- | 0.2817 | 5.0 | 230 | 0.1525 | 0.9331 |
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- | 0.1796 | 6.0 | 276 | 0.1200 | 0.9470 |
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- | 0.0267 | 7.0 | 322 | 0.0967 | 0.9631 |
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- | 0.1953 | 8.0 | 368 | 0.0829 | 0.9691 |
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- | 0.0168 | 9.0 | 414 | 0.0746 | 0.9754 |
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- | 0.0858 | 10.0 | 460 | 0.0650 | 0.9786 |
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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: 0.5120
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+ - F1: 0.8267
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|
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+ | 0.4533 | 1.0 | 182 | 0.3471 | 0.7932 |
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+ | 0.1763 | 2.0 | 364 | 0.3473 | 0.8116 |
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+ | 0.1359 | 3.0 | 546 | 0.3887 | 0.8144 |
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+ | 0.1728 | 4.0 | 728 | 0.4311 | 0.8147 |
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+ | 0.1519 | 5.0 | 910 | 0.4881 | 0.8236 |
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+ | 0.0085 | 6.0 | 1092 | 0.5120 | 0.8267 |
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+ | 0.1828 | 7.0 | 1274 | 0.5591 | 0.8118 |
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+ | 0.0071 | 8.0 | 1456 | 0.6079 | 0.8263 |
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+ | 0.0015 | 9.0 | 1638 | 0.6919 | 0.8235 |
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+ | 0.0241 | 10.0 | 1820 | 0.6990 | 0.8221 |
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  ### Framework versions
pytorch_model.bin CHANGED
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