Colabng/twitter_bank_scam_classifier
Browse files
README.md
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This model is a fine-tuned version of [google-bert/bert-base-uncased](https://huggingface.co/google-bert/bert-base-uncased) 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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- Auc: 0.
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | Auc |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:----:|
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| 0.
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| 0.
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### Framework versions
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- PEFT 0.16.0
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- Transformers 4.53.3
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- Pytorch 2.7.1
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- Datasets 4.0.0
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- Tokenizers 0.21.2
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This model is a fine-tuned version of [google-bert/bert-base-uncased](https://huggingface.co/google-bert/bert-base-uncased) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.7974
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- Accuracy: 0.55
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- Auc: 0.54
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | Auc |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:----:|
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| 0.6974 | 1.0 | 11 | 0.7115 | 0.59 | 0.53 |
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| 0.6953 | 2.0 | 22 | 0.7974 | 0.55 | 0.54 |
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### Framework versions
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- PEFT 0.16.0
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- Transformers 4.53.3
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- Pytorch 2.7.1+cu126
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- Datasets 4.0.0
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- Tokenizers 0.21.2
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adapter_config.json
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"query",
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"key"
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"value"
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],
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"task_type": "SEQ_CLS",
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"trainable_token_indices": null,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"value",
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"query",
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"key"
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],
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"task_type": "SEQ_CLS",
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"trainable_token_indices": null,
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adapter_model.safetensors
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runs/Aug28_23-03-37_crn-d2ckhvruibrs738j7ur0-29273700-hb52l/events.out.tfevents.1756422217.crn-d2ckhvruibrs738j7ur0-29273700-hb52l
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training_args.bin
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