filler_deberta_tab
This model is a fine-tuned version of Xyren2005/pii-ner-filler_deberta-filler on the None dataset. It achieves the following results on the evaluation set:
- Loss: 6.4144
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: 1e-05
- train_batch_size: 16
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 329
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 34.0976 | 1.0 | 330 | 7.8895 |
| 30.1209 | 2.0 | 660 | 6.8689 |
| 27.3762 | 3.0 | 990 | 6.5276 |
| 27.1635 | 4.0 | 1320 | 6.2956 |
| 25.5996 | 5.0 | 1650 | 6.3409 |
Framework versions
- Transformers 5.0.0
- Pytorch 2.10.0+cu128
- Datasets 4.8.3
- Tokenizers 0.22.2
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Base model
Xyren2005/pii-ner-filler_deberta-filler