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--- |
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library_name: transformers |
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license: apache-2.0 |
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base_model: bert-base-uncased |
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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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- f1 |
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model-index: |
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- name: human-vs-AI_bert-classifier |
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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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# human-vs-AI_bert-classifier |
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This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0011 |
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- Accuracy: 1.0 |
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- F1: 1.0 |
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- Roc Auc: 1.0 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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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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- learning_rate: 2e-05 |
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- train_batch_size: 16 |
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- eval_batch_size: 32 |
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- seed: 14 |
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: cosine |
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- lr_scheduler_warmup_ratio: 0.1 |
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- num_epochs: 3 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Roc Auc | |
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|:-------------:|:------:|:----:|:---------------:|:--------:|:---:|:-------:| |
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| 0.333 | 0.2475 | 50 | 0.0377 | 1.0 | 1.0 | 1.0 | |
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| 0.0108 | 0.4950 | 100 | 0.0023 | 1.0 | 1.0 | 1.0 | |
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| 0.0105 | 0.7426 | 150 | 0.0015 | 1.0 | 1.0 | 1.0 | |
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| 0.0104 | 0.9901 | 200 | 0.0011 | 1.0 | 1.0 | 1.0 | |
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### Framework versions |
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- Transformers 4.48.0 |
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- Pytorch 2.6.0 |
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- Datasets 3.6.0 |
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- Tokenizers 0.21.4 |
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