File size: 1,486 Bytes
1be11b2 f29cec8 1be11b2 b01198e 1be11b2 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 |
---
license: cc-by-nc-4.0
base_model: Isotonic/distilbert_finetuned_ai4privacy_v2
tags:
- generated_from_trainer
model-index:
- name: DistillBert_base_NER_PII200
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
[<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)
# DistillBert_base_NER_PII200
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.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 16
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 3
### Training results
### Framework versions
- Transformers 4.41.0.dev0
- Pytorch 1.13.1
- Datasets 2.18.0
- Tokenizers 0.19.1
|