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README.md
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metrics:
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- accuracy
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model-index:
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- name: roberta-base-bne-finetuned-toxicity-tweets-
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# roberta-base-bne-finetuned-toxicity-tweets-
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This model is a fine-tuned version of [PlanTL-GOB-ES/roberta-base-bne](https://huggingface.co/PlanTL-GOB-ES/roberta-base-bne) 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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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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### Framework versions
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metrics:
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- accuracy
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model-index:
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- name: roberta-base-bne-finetuned-toxicity-tweets-50000
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# roberta-base-bne-finetuned-toxicity-tweets-50000
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This model is a fine-tuned version of [PlanTL-GOB-ES/roberta-base-bne](https://huggingface.co/PlanTL-GOB-ES/roberta-base-bne) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.2089
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- Accuracy: 0.9400
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| 0.2042 | 1.0 | 294 | 0.1805 | 0.9350 |
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| 0.0667 | 2.0 | 588 | 0.2089 | 0.9400 |
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### Framework versions
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