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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_seeker |
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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_seeker |
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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: 1.8876 |
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- F1: 0.7635 |
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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: 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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- 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 | 0.6179 | 0.5993 | |
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| 0.7932 | 2.0 | 184 | 0.6113 | 0.5993 | |
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| 0.6589 | 3.0 | 276 | 0.6632 | 0.6305 | |
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| 0.6418 | 4.0 | 368 | 0.6268 | 0.5993 | |
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| 0.6315 | 5.0 | 460 | 0.9375 | 0.2508 | |
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| 0.6522 | 6.0 | 552 | 0.5820 | 0.5886 | |
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| 0.6183 | 7.0 | 644 | 0.5538 | 0.6857 | |
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| 0.6136 | 8.0 | 736 | 0.5223 | 0.6736 | |
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| 0.496 | 9.0 | 828 | 0.7308 | 0.7777 | |
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| 0.4858 | 10.0 | 920 | 0.7452 | 0.7832 | |
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| 0.4181 | 11.0 | 1012 | 0.7523 | 0.7799 | |
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| 0.3395 | 12.0 | 1104 | 1.1841 | 0.7417 | |
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| 0.3395 | 13.0 | 1196 | 0.7770 | 0.8181 | |
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| 0.2375 | 14.0 | 1288 | 1.1497 | 0.7773 | |
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| 0.1728 | 15.0 | 1380 | 1.5189 | 0.7635 | |
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| 0.0324 | 16.0 | 1472 | 1.6500 | 0.7420 | |
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| 0.0764 | 17.0 | 1564 | 1.5011 | 0.7635 | |
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| 0.0244 | 18.0 | 1656 | 1.5790 | 0.7544 | |
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| 0.0002 | 19.0 | 1748 | 1.9299 | 0.7539 | |
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| 0.0004 | 20.0 | 1840 | 1.7885 | 0.7635 | |
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| 0.0001 | 21.0 | 1932 | 1.8230 | 0.7635 | |
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| 0.0001 | 22.0 | 2024 | 1.8578 | 0.7635 | |
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| 0.0 | 23.0 | 2116 | 1.8765 | 0.7635 | |
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| 0.0 | 24.0 | 2208 | 1.8845 | 0.7635 | |
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| 0.0 | 25.0 | 2300 | 1.8876 | 0.7635 | |
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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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