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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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- accuracy |
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- f1 |
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- precision |
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- recall |
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model-index: |
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- name: modern-bert-finetuned-query-classification |
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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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# modern-bert-finetuned-query-classification |
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This model is a fine-tuned version of [answerdotai/ModernBERT-base](https://huggingface.co/answerdotai/ModernBERT-base) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1256 |
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- Accuracy: 0.9759 |
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- F1: 0.9759 |
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- Precision: 0.9763 |
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- Recall: 0.9759 |
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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: 8 |
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- eval_batch_size: 8 |
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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: 5 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:| |
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| No log | 1.0 | 315 | 0.1474 | 0.9648 | 0.9647 | 0.9649 | 0.9648 | |
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| 0.1965 | 2.0 | 630 | 0.1226 | 0.9704 | 0.9704 | 0.9718 | 0.9704 | |
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| 0.1965 | 3.0 | 945 | 0.1192 | 0.9741 | 0.9742 | 0.9757 | 0.9741 | |
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| 0.0426 | 4.0 | 1260 | 0.1250 | 0.9741 | 0.9741 | 0.9742 | 0.9741 | |
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| 0.0042 | 5.0 | 1575 | 0.1256 | 0.9759 | 0.9759 | 0.9763 | 0.9759 | |
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### Framework versions |
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- Transformers 4.51.3 |
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- Pytorch 2.6.0+cu124 |
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- Datasets 3.5.1 |
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- Tokenizers 0.21.1 |
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