FrinzTheCoder/xlm-roberta-base-afr
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README.md
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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.
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- Accuracy: 0.
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- F1 Binary: 0.
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- Precision: 0.
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- Recall: 0.
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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.
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| No log | 2.0 | 368 | 0.
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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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model.safetensors
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training_args.bin
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