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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: dslim/distilbert-NER |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: distilbert-NER-Math-finetuned |
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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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# distilbert-NER-Math-finetuned |
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This model is a fine-tuned version of [dslim/distilbert-NER](https://huggingface.co/dslim/distilbert-NER) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0483 |
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- F1 Score: 0.9453 |
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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: 3e-05 |
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- train_batch_size: 5 |
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- eval_batch_size: 5 |
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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: 10 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | F1 Score | |
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|:-------------:|:-----:|:-----:|:---------------:|:--------:| |
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| 0.1069 | 1.0 | 1534 | 0.0825 | 0.8414 | |
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| 0.0553 | 2.0 | 3068 | 0.0587 | 0.8826 | |
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| 0.0369 | 3.0 | 4602 | 0.0472 | 0.9125 | |
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| 0.018 | 4.0 | 6136 | 0.0465 | 0.9206 | |
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| 0.0127 | 5.0 | 7670 | 0.0447 | 0.9351 | |
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| 0.0057 | 6.0 | 9204 | 0.0473 | 0.9377 | |
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| 0.0045 | 7.0 | 10738 | 0.0465 | 0.9427 | |
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| 0.0019 | 8.0 | 12272 | 0.0500 | 0.9409 | |
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| 0.0026 | 9.0 | 13806 | 0.0486 | 0.9446 | |
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| 0.0015 | 10.0 | 15340 | 0.0483 | 0.9453 | |
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### Framework versions |
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- Transformers 4.47.1 |
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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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