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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_seeker1 |
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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_seeker1 |
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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: 3.6513 |
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- F1: 0.6676 |
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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: 4 |
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- eval_batch_size: 4 |
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- seed: 42 |
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- optimizer: Use 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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- lr_scheduler_warmup_ratio: 0.1 |
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- num_epochs: 25 |
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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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| No log | 1.0 | 92 | 1.1453 | 0.2556 | |
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| 1.2432 | 2.0 | 184 | 1.1348 | 0.2269 | |
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| 1.1447 | 3.0 | 276 | 1.1944 | 0.2624 | |
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| 1.0924 | 4.0 | 368 | 0.9543 | 0.4673 | |
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| 0.9918 | 5.0 | 460 | 1.0970 | 0.4892 | |
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| 0.8981 | 6.0 | 552 | 1.2106 | 0.5669 | |
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| 0.9261 | 7.0 | 644 | 0.8952 | 0.6269 | |
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| 0.8208 | 8.0 | 736 | 1.1409 | 0.5480 | |
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| 0.645 | 9.0 | 828 | 1.7286 | 0.5748 | |
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| 0.6745 | 10.0 | 920 | 1.4750 | 0.6229 | |
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| 0.5947 | 11.0 | 1012 | 1.7091 | 0.6628 | |
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| 0.517 | 12.0 | 1104 | 3.0948 | 0.6180 | |
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| 0.517 | 13.0 | 1196 | 2.5940 | 0.6671 | |
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| 0.4901 | 14.0 | 1288 | 2.9827 | 0.6348 | |
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| 0.2048 | 15.0 | 1380 | 3.1023 | 0.6483 | |
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| 0.1188 | 16.0 | 1472 | 3.7382 | 0.6332 | |
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| 0.1236 | 17.0 | 1564 | 3.5499 | 0.6535 | |
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| 0.0828 | 18.0 | 1656 | 3.6281 | 0.6533 | |
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| 0.0479 | 19.0 | 1748 | 3.2783 | 0.6820 | |
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| 0.0081 | 20.0 | 1840 | 3.6055 | 0.6676 | |
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| 0.031 | 21.0 | 1932 | 3.6255 | 0.6778 | |
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| 0.0008 | 22.0 | 2024 | 3.6279 | 0.6850 | |
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| 0.0 | 23.0 | 2116 | 3.6376 | 0.6676 | |
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| 0.0001 | 24.0 | 2208 | 3.6440 | 0.6676 | |
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| 0.0 | 25.0 | 2300 | 3.6513 | 0.6676 | |
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### Framework versions |
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- Transformers 4.48.0 |
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- Pytorch 2.5.1+cu121 |
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- Datasets 3.2.0 |
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- Tokenizers 0.21.0 |
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