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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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model-index: |
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- name: modernbert-grade-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-grade-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: 1.0005 |
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- F1: 0.6175 |
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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: 32 |
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- eval_batch_size: 16 |
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- seed: 42 |
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- optimizer: Use 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: 15 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | F1 | |
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|:-------------:|:-----:|:----:|:---------------:|:------:| |
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| 1.9568 | 1.0 | 197 | 1.4912 | 0.4107 | |
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| 1.3756 | 2.0 | 394 | 1.2853 | 0.4907 | |
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| 1.1388 | 3.0 | 591 | 1.1807 | 0.5524 | |
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| 0.9889 | 4.0 | 788 | 1.1218 | 0.5586 | |
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| 0.8512 | 5.0 | 985 | 1.0889 | 0.5767 | |
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| 0.7781 | 6.0 | 1182 | 1.0464 | 0.5901 | |
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| 0.6999 | 7.0 | 1379 | 1.0223 | 0.5967 | |
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| 0.639 | 8.0 | 1576 | 1.0122 | 0.6144 | |
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| 0.6315 | 9.0 | 1773 | 1.0074 | 0.6095 | |
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| 0.585 | 10.0 | 1970 | 1.0041 | 0.6127 | |
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| 0.5777 | 11.0 | 2167 | 1.0024 | 0.6121 | |
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| 0.5512 | 12.0 | 2364 | 0.9948 | 0.6160 | |
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| 0.5521 | 13.0 | 2561 | 1.0011 | 0.6176 | |
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| 0.5451 | 14.0 | 2758 | 0.9990 | 0.6147 | |
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| 0.5502 | 15.0 | 2955 | 1.0005 | 0.6175 | |
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### Framework versions |
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- Transformers 4.48.0.dev0 |
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- Pytorch 2.4.1+cu121 |
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- Datasets 3.1.0 |
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- Tokenizers 0.21.0 |
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