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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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metrics: |
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- f1 |
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- accuracy |
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model-index: |
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- name: category-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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# category-classifier |
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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: 1.6405 |
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- F1: 0.7106 |
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- Accuracy: 0.7150 |
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- F1 Ai: 0.6377 |
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- F1 Programming: 0.6682 |
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- F1 Science & engineering: 0.6115 |
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- F1 Tech: 0.4547 |
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- F1 Rejected: 0.8019 |
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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: 5e-05 |
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- train_batch_size: 10 |
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- eval_batch_size: 5 |
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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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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | F1 | Accuracy | F1 Ai | F1 Programming | F1 Science & engineering | F1 Tech | F1 Rejected | |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:--------:|:------:|:--------------:|:------------------------:|:-------:|:-----------:| |
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| 0.591 | 1.0 | 849 | 0.7085 | 0.6909 | 0.7084 | 0.6614 | 0.6502 | 0.6271 | 0.2727 | 0.8018 | |
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| 0.3318 | 2.0 | 1698 | 0.7817 | 0.7086 | 0.7160 | 0.6337 | 0.6359 | 0.6104 | 0.45 | 0.8060 | |
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| 0.1606 | 3.0 | 2547 | 1.6405 | 0.7106 | 0.7150 | 0.6377 | 0.6682 | 0.6115 | 0.4547 | 0.8019 | |
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### Framework versions |
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- Transformers 4.48.0.dev0 |
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- Pytorch 2.2.2 |
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- Datasets 3.1.0 |
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- Tokenizers 0.21.0 |
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