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biblo0507
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bert

Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
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  1. README.md +15 -15
  2. model.safetensors +1 -1
README.md CHANGED
@@ -21,11 +21,11 @@ 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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- - Loss: 0.0985
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- - Accuracy: 0.9801
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- - F1: 0.9802
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- - Precision: 0.9813
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- - Recall: 0.9801
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  ## Model description
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@@ -57,16 +57,16 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
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- | 1.0918 | 1.0 | 38 | 1.0858 | 0.3179 | 0.1533 | 0.1010 | 0.3179 |
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- | 1.0263 | 2.0 | 76 | 0.9348 | 0.7550 | 0.7507 | 0.8072 | 0.7550 |
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- | 0.5807 | 3.0 | 114 | 0.2524 | 0.9669 | 0.9670 | 0.9700 | 0.9669 |
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- | 0.1609 | 4.0 | 152 | 0.1301 | 0.9603 | 0.9604 | 0.9647 | 0.9603 |
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- | 0.0359 | 5.0 | 190 | 0.0709 | 0.9868 | 0.9867 | 0.9870 | 0.9868 |
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- | 0.1422 | 6.0 | 228 | 0.2251 | 0.9669 | 0.9670 | 0.9700 | 0.9669 |
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- | 0.0017 | 7.0 | 266 | 0.0553 | 0.9934 | 0.9934 | 0.9935 | 0.9934 |
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- | 0.0015 | 8.0 | 304 | 0.1684 | 0.9801 | 0.9802 | 0.9813 | 0.9801 |
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- | 0.0007 | 9.0 | 342 | 0.1827 | 0.9735 | 0.9736 | 0.9745 | 0.9735 |
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- | 0.0006 | 10.0 | 380 | 0.0985 | 0.9801 | 0.9802 | 0.9813 | 0.9801 |
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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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+ - Loss: 0.1679
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+ - Accuracy: 0.9669
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+ - F1: 0.9667
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+ - Precision: 0.9685
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+ - Recall: 0.9669
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
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+ | 1.1054 | 1.0 | 38 | 1.0886 | 0.4106 | 0.2390 | 0.1686 | 0.4106 |
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+ | 1.0709 | 2.0 | 76 | 0.9872 | 0.6490 | 0.5588 | 0.5174 | 0.6490 |
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+ | 0.838 | 3.0 | 114 | 0.7455 | 0.6424 | 0.5447 | 0.4737 | 0.6424 |
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+ | 0.2981 | 4.0 | 152 | 0.2033 | 0.9338 | 0.9340 | 0.9413 | 0.9338 |
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+ | 0.1249 | 5.0 | 190 | 0.1285 | 0.9669 | 0.9668 | 0.9672 | 0.9669 |
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+ | 0.1224 | 6.0 | 228 | 0.2481 | 0.9470 | 0.9476 | 0.9546 | 0.9470 |
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+ | 0.0015 | 7.0 | 266 | 0.3061 | 0.9536 | 0.9535 | 0.9582 | 0.9536 |
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+ | 0.0332 | 8.0 | 304 | 0.3735 | 0.9404 | 0.9406 | 0.9498 | 0.9404 |
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+ | 0.1496 | 9.0 | 342 | 0.2024 | 0.9669 | 0.9670 | 0.9700 | 0.9669 |
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+ | 0.0629 | 10.0 | 380 | 0.1679 | 0.9669 | 0.9667 | 0.9685 | 0.9669 |
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  ### Framework versions
model.safetensors CHANGED
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