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FrinzTheCoder/xlm-roberta-base-afr

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  1. README.md +9 -9
  2. model.safetensors +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -20,11 +20,11 @@ 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 the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0877
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- - Accuracy: 0.8320
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- - F1 Binary: 0.5484
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- - Precision: 0.4043
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- - Recall: 0.8523
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Binary | Precision | Recall |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:---------:|:------:|
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- | No log | 1.0 | 184 | 0.1459 | 0.8490 | 0.4908 | 0.4115 | 0.6080 |
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- | No log | 2.0 | 368 | 0.1268 | 0.8272 | 0.5078 | 0.3853 | 0.7443 |
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- | 0.1139 | 3.0 | 552 | 0.0817 | 0.8048 | 0.5176 | 0.3675 | 0.875 |
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- | 0.1139 | 4.0 | 736 | 0.0877 | 0.8320 | 0.5484 | 0.4043 | 0.8523 |
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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: 0.1171
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+ - Accuracy: 0.7395
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+ - F1 Binary: 0.4241
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+ - Precision: 0.2883
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+ - Recall: 0.8011
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Binary | Precision | Recall |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:---------:|:------:|
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+ | No log | 1.0 | 184 | 0.1042 | 0.6048 | 0.3622 | 0.2245 | 0.9375 |
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+ | No log | 2.0 | 368 | 0.1271 | 0.8497 | 0.4920 | 0.4131 | 0.6080 |
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+ | 0.1252 | 3.0 | 552 | 0.1223 | 0.7381 | 0.4193 | 0.2854 | 0.7898 |
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+ | 0.1252 | 4.0 | 736 | 0.1171 | 0.7395 | 0.4241 | 0.2883 | 0.8011 |
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  ### Framework versions
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