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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: modernbert-tr-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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# modernbert-tr-classifier |
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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: 0.8455 |
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- F1: 0.8730 |
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- Accuracy: 0.8735 |
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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: 8e-05 |
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- train_batch_size: 32 |
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- eval_batch_size: 32 |
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- seed: 42 |
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- optimizer: Use adamw_torch with betas=(0.9,0.98) and epsilon=1e-06 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 | F1 | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:--------:| |
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| 1.3023 | 1.0 | 146 | 1.0178 | 0.7250 | 0.7184 | |
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| 0.5327 | 2.0 | 292 | 0.5449 | 0.8415 | 0.8408 | |
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| 0.2336 | 3.0 | 438 | 0.5080 | 0.8685 | 0.8694 | |
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| 0.1116 | 4.0 | 584 | 0.6585 | 0.8489 | 0.8490 | |
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| 0.0399 | 5.0 | 730 | 1.0568 | 0.8415 | 0.8408 | |
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| 0.0137 | 6.0 | 876 | 0.9445 | 0.8526 | 0.8531 | |
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| 0.0074 | 7.0 | 1022 | 0.8898 | 0.8656 | 0.8653 | |
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| 0.0022 | 8.0 | 1168 | 0.8455 | 0.8730 | 0.8735 | |
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### Framework versions |
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- Transformers 4.48.0 |
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- Pytorch 2.5.1+cu118 |
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- Datasets 3.1.0 |
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- Tokenizers 0.21.0 |
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