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roberta-large-NER_oknashar
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0273
- Precision: 0.9181
- Recall: 0.9255
- F1: 0.9218
- Accuracy: 0.9928
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: 4
- 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 |
|---|---|---|---|---|---|---|---|
| 0.0393 | 1.0 | 2714 | 0.0325 | 0.8993 | 0.9008 | 0.9000 | 0.9912 |
| 0.0224 | 2.0 | 5428 | 0.0273 | 0.9181 | 0.9255 | 0.9218 | 0.9928 |
Framework versions
- Transformers 4.33.0
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.13.3
