IgboBert2-finetuned-ner-updated
This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0943
- Precision: 0.7711
- Recall: 0.8111
- F1: 0.7906
- Accuracy: 0.9760
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: 0.0001
- 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: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|
| 0.1076 | 1.0 | 1234 | 0.1010 | 0.6769 | 0.8077 | 0.7365 | 0.9704 |
| 0.0433 | 2.0 | 2468 | 0.0943 | 0.7711 | 0.8111 | 0.7906 | 0.9760 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1
