distilbert-base-uncased-pii-200
This model is a fine-tuned version of distilbert/distilbert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.4704
- Overall Precision: 0.0
- Overall Recall: 0.0
- Overall F1: 0.0
- Overall Accuracy: 0.8065
- Email F1: 0.0
- Lastname F1: 0.0
- Prefix F1: 0.0
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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.2
- num_epochs: 7
Training results
| Training Loss | Epoch | Step | Validation Loss | Overall Precision | Overall Recall | Overall F1 | Overall Accuracy | City F1 | Email F1 | Jobtype F1 | Lastname F1 | Prefix F1 | Username F1 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 1 | 2.5786 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| No log | 2.0 | 2 | 2.3959 | 0.0 | 0.0 | 0.0 | 0.1774 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| No log | 3.0 | 3 | 2.0696 | 0.0 | 0.0 | 0.0 | 0.8065 | 0.0 | 0.0 | 0.0 | |||
| No log | 4.0 | 4 | 1.8231 | 0.0 | 0.0 | 0.0 | 0.8065 | 0.0 | 0.0 | 0.0 | |||
| No log | 5.0 | 5 | 1.6430 | 0.0 | 0.0 | 0.0 | 0.8065 | 0.0 | 0.0 | 0.0 | |||
| No log | 6.0 | 6 | 1.5266 | 0.0 | 0.0 | 0.0 | 0.8065 | 0.0 | 0.0 | 0.0 | |||
| No log | 7.0 | 7 | 1.4704 | 0.0 | 0.0 | 0.0 | 0.8065 | 0.0 | 0.0 | 0.0 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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Model tree for burkelive/distilbert-base-uncased-pii-200
Base model
distilbert/distilbert-base-uncased