End of training
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README.md
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base_model: xlm-roberta-base
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tags:
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- generated_from_trainer
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model-index:
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- name: xlm-roberta-base-finetuned-detests24
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results: []
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# xlm-roberta-base-finetuned-detests24
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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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## Model description
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- lr_scheduler_type: linear
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- num_epochs: 10
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### Framework versions
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- Transformers 4.37.2
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base_model: xlm-roberta-base
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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- precision
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- recall
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model-index:
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- name: xlm-roberta-base-finetuned-detests24
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results: []
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# xlm-roberta-base-finetuned-detests24
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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: 1.0941
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- Accuracy: 0.8151
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- F1-score: 0.7439
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- Precision: 0.7380
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- Recall: 0.7509
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- Auc: 0.7509
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## Model description
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- lr_scheduler_type: linear
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- num_epochs: 10
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1-score | Precision | Recall | Auc |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|:---------:|:------:|:------:|
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| 0.4432 | 1.0 | 153 | 0.4079 | 0.8298 | 0.7158 | 0.7778 | 0.6893 | 0.6893 |
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| 0.4326 | 2.0 | 306 | 0.5061 | 0.7447 | 0.7078 | 0.7052 | 0.7840 | 0.7840 |
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| 0.2533 | 3.0 | 459 | 0.5227 | 0.7676 | 0.7195 | 0.7070 | 0.7709 | 0.7709 |
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| 0.3354 | 4.0 | 612 | 0.5113 | 0.8347 | 0.7689 | 0.7645 | 0.7737 | 0.7737 |
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| 0.2157 | 5.0 | 765 | 0.8228 | 0.8020 | 0.7484 | 0.7321 | 0.7830 | 0.7830 |
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| 0.1815 | 6.0 | 918 | 0.9407 | 0.8036 | 0.7528 | 0.7359 | 0.7917 | 0.7917 |
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| 0.0829 | 7.0 | 1071 | 0.9539 | 0.8363 | 0.7648 | 0.7676 | 0.7621 | 0.7621 |
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| 0.1077 | 8.0 | 1224 | 0.9649 | 0.8200 | 0.7501 | 0.7445 | 0.7566 | 0.7566 |
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| 0.0473 | 9.0 | 1377 | 1.0557 | 0.8200 | 0.7439 | 0.7439 | 0.7439 | 0.7439 |
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| 0.0632 | 10.0 | 1530 | 1.0941 | 0.8151 | 0.7439 | 0.7380 | 0.7509 | 0.7509 |
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### Framework versions
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- Transformers 4.37.2
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model.safetensors
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runs/Feb11_17-21-11_7f10c67e2959/events.out.tfevents.1707672111.7f10c67e2959.927.0
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