ner-bert-ingredients
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 5.3555
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
- gradient_accumulation_steps: 8
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 50
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.0466 | 10.0 | 10 | 4.7461 |
| 0.0213 | 20.0 | 20 | 4.9241 |
| 0.01 | 30.0 | 30 | 5.0407 |
| 0.0063 | 40.0 | 40 | 5.1613 |
| 0.0043 | 50.0 | 50 | 5.3555 |
Framework versions
- Transformers 4.36.0
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.15.0
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