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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: answerdotai/ModernBERT-base |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: answerdotai-ModernBERT-base-ai-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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# answerdotai-ModernBERT-base-ai-detector |
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This model is a fine-tuned version of [answerdotai/ModernBERT-base](https://huggingface.co/answerdotai/ModernBERT-base) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0036 |
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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: 16 |
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- seed: 42 |
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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: linear |
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- num_epochs: 3 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 0.0505 | 0.2228 | 500 | 0.0214 | |
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| 0.0114 | 0.4456 | 1000 | 0.0110 | |
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| 0.0088 | 0.6684 | 1500 | 0.0032 | |
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| 0.0 | 0.8913 | 2000 | 0.0048 | |
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| 0.0068 | 1.1141 | 2500 | 0.0035 | |
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| 0.0 | 1.3369 | 3000 | 0.0040 | |
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| 0.0 | 1.5597 | 3500 | 0.0097 | |
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| 0.0053 | 1.7825 | 4000 | 0.0101 | |
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| 0.0 | 2.0053 | 4500 | 0.0053 | |
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| 0.0 | 2.2282 | 5000 | 0.0039 | |
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| 0.0017 | 2.4510 | 5500 | 0.0046 | |
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| 0.0 | 2.6738 | 6000 | 0.0043 | |
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| 0.0 | 2.8966 | 6500 | 0.0036 | |
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### Framework versions |
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- Transformers 4.48.3 |
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- Pytorch 2.5.1+cu124 |
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- Datasets 3.3.2 |
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- Tokenizers 0.21.0 |
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