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Update README.md
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README.md
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---
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license: mit
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tags:
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- generated_from_trainer
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model-index:
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- name: roberta-base-spam-detector
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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-spam-detector
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This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the 0x7194633/spam_detector dataset.
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It achieves the following results on the evaluation set:
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- eval_loss: 0.0211
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- eval_accuracy: 0.9979
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- Transformers 4.27.4
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- Pytorch 2.0.0+cu118
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- Datasets 2.11.0
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- Tokenizers 0.13.3
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---
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license: mit
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model-index:
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- name: roberta-base-spam-detector
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results: []
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datasets:
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- 0x7194633/spam_detector
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language:
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- en
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metrics:
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- accuracy
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pipeline_tag: text-classification
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# roberta-base-spam-detector
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This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the [0x7194633/spam_detector](https://huggingface.co/datasets/0x7194633/spam_detector) dataset.
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It achieves the following results on the evaluation set:
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- eval_loss: 0.0211
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- eval_accuracy: 0.9979
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More information needed
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### Training hyperparameters
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The following hyperparameters were used during training:
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- Transformers 4.27.4
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- Pytorch 2.0.0+cu118
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- Datasets 2.11.0
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- Tokenizers 0.13.3
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