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--- |
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license: cc-by-nc-4.0 |
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base_model: Isotonic/distilbert_finetuned_ai4privacy_v2 |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: DistillBert_base_NER_PII200 |
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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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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/tuevu_smu/huggingface/runs/mhqmexby) |
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# DistillBert_base_NER_PII200 |
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This model is a fine-tuned version of [Isotonic/distilbert_finetuned_ai4privacy_v2](https://huggingface.co./Isotonic/distilbert_finetuned_ai4privacy_v2) on the [ai4privacy/pii-masking-200k](https://huggingface.co./datasets/ai4privacy/pii-masking-200k) dataset. |
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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: 16 |
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- eval_batch_size: 64 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_steps: 500 |
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- num_epochs: 3 |
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### Training results |
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### Framework versions |
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- Transformers 4.41.0.dev0 |
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- Pytorch 1.13.1 |
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- Datasets 2.18.0 |
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- Tokenizers 0.19.1 |
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