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yemen2016
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memo_ND

Text Classification
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Safetensors
xlm-roberta
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  1. README.md +14 -14
  2. model.safetensors +1 -1
  3. runs/Jun12_14-31-51_58029a0bd48e/events.out.tfevents.1718203868.58029a0bd48e.1107.7 +3 -0
README.md CHANGED
@@ -14,8 +14,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [MiMe-MeMo/MeMo-BERT-03](https://huggingface.co/MiMe-MeMo/MeMo-BERT-03) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0540
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- - F1-score: 0.9906
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  ## Model description
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@@ -44,18 +44,18 @@ The following hyperparameters were used during training:
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss | F1-score |
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- |:-------------:|:-----:|:-----:|:---------------:|:--------:|
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- | 0.3018 | 1.0 | 1058 | 0.1626 | 0.9645 |
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- | 0.0696 | 2.0 | 2116 | 0.0855 | 0.9859 |
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- | 0.0362 | 3.0 | 3174 | 0.0817 | 0.9853 |
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- | 0.0291 | 4.0 | 4232 | 0.0540 | 0.9906 |
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- | 0.018 | 5.0 | 5290 | 0.1314 | 0.9806 |
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- | 0.0187 | 6.0 | 6348 | 0.1398 | 0.9779 |
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- | 0.0074 | 7.0 | 7406 | 0.1220 | 0.9839 |
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- | 0.0137 | 8.0 | 8464 | 0.0794 | 0.9906 |
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- | 0.0034 | 9.0 | 9522 | 0.1152 | 0.9866 |
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- | 0.0001 | 10.0 | 10580 | 0.1396 | 0.9839 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [MiMe-MeMo/MeMo-BERT-03](https://huggingface.co/MiMe-MeMo/MeMo-BERT-03) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.3100
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+ - F1-score: 0.9021
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  ## Model description
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss | F1-score |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | No log | 1.0 | 223 | 0.3100 | 0.9021 |
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+ | No log | 2.0 | 446 | 0.3473 | 0.8991 |
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+ | 0.2918 | 3.0 | 669 | 0.5325 | 0.8914 |
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+ | 0.2918 | 4.0 | 892 | 0.6119 | 0.8819 |
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+ | 0.1085 | 5.0 | 1115 | 0.5423 | 0.8920 |
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+ | 0.1085 | 6.0 | 1338 | 0.5977 | 0.8861 |
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+ | 0.0701 | 7.0 | 1561 | 0.5991 | 0.8991 |
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+ | 0.0701 | 8.0 | 1784 | 0.7600 | 0.8636 |
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+ | 0.0381 | 9.0 | 2007 | 0.7346 | 0.8671 |
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+ | 0.0381 | 10.0 | 2230 | 0.7637 | 0.8629 |
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  ### Framework versions
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