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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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- precision |
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- recall |
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- f1 |
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model-index: |
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- name: bert-binary-clf-all |
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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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# bert-binary-clf-all |
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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: 0.0600 |
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- Accuracy: 0.9902 |
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- Precision: 0.9964 |
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- Recall: 0.9833 |
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- F1: 0.9898 |
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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_FUSED 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: 8 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:| |
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| 0.1287 | 1.0 | 433 | 0.0515 | 0.9884 | 0.9811 | 0.9952 | 0.9881 | |
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| 0.034 | 2.0 | 866 | 0.0732 | 0.9827 | 0.9867 | 0.9773 | 0.9820 | |
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| 0.0163 | 3.0 | 1299 | 0.0600 | 0.9902 | 0.9964 | 0.9833 | 0.9898 | |
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| 0.0087 | 4.0 | 1732 | 0.0842 | 0.9861 | 0.9927 | 0.9785 | 0.9855 | |
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| 0.0024 | 5.0 | 2165 | 0.0748 | 0.9884 | 0.9811 | 0.9952 | 0.9881 | |
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### Framework versions |
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- Transformers 4.57.1 |
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- Pytorch 2.8.0+cu126 |
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- Datasets 4.0.0 |
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- Tokenizers 0.22.1 |
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