rationalenterprise/fine_tuned_spam_model
Browse files- README.md +5 -5
- model.safetensors +1 -1
- tokenizer.json +2 -16
README.md
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This model is a fine-tuned version of [mrm8488/bert-tiny-finetuned-sms-spam-detection](https://huggingface.co/mrm8488/bert-tiny-finetuned-sms-spam-detection) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.
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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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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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### Framework versions
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This model is a fine-tuned version of [mrm8488/bert-tiny-finetuned-sms-spam-detection](https://huggingface.co/mrm8488/bert-tiny-finetuned-sms-spam-detection) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.0884
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- Accuracy: 0.5480
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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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| 1.1383 | 1.0 | 42 | 1.1377 | 0.5367 |
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| 1.0594 | 2.0 | 84 | 1.0975 | 0.5424 |
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| 1.0472 | 3.0 | 126 | 1.0884 | 0.5480 |
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### Framework versions
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size 17550344
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version https://git-lfs.github.com/spec/v1
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size 17550344
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tokenizer.json
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{
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"truncation":
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"padding": {
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"strategy": {
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"Fixed": 128
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"direction": "Right",
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