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# longformer-ner-finetuned-pii

This model is a fine-tuned version of [allenai/longformer-base-4096](https://huggingface.co/allenai/longformer-base-4096) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0034
- Precision: 0.9772
- Recall: 0.9879
- F1: 0.9825
- Accuracy: 0.9993

## 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: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
| 0.0063        | 1.0   | 1324 | 0.0050          | 0.9613    | 0.9842 | 0.9726 | 0.9990   |
| 0.0037        | 2.0   | 2648 | 0.0038          | 0.9735    | 0.9873 | 0.9803 | 0.9992   |
| 0.002         | 3.0   | 3972 | 0.0034          | 0.9772    | 0.9879 | 0.9825 | 0.9993   |


### Framework versions

- Transformers 4.37.0
- Pytorch 2.1.2
- Datasets 2.1.0
- Tokenizers 0.15.1

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["precision", "recall", "f1", "accuracy"], "base_model": "allenai/longformer-base-4096", "model-index": [{"name": "longformer-ner-finetuned-pii", "results": []}]}
transformers tensorboard safetensors longformer token-classification generated_from_trainer base_model:allenai/longformer-base-4096 license:apache-2.0 autotrain_compatible endpoints_compatible region:us