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roberta-token-class
This model is a fine-tuned version of Jean-Baptiste/roberta-large-ner-english on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2595
- Precision: 0.8544
- Recall: 0.7572
- F1: 0.7947
- Accuracy: 0.9174
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
---|---|---|---|---|---|---|---|
0.2406 | 1.0 | 1796 | 0.2539 | 0.8826 | 0.6984 | 0.7510 | 0.9110 |
0.1859 | 2.0 | 3592 | 0.2415 | 0.8695 | 0.7310 | 0.7780 | 0.9155 |
0.1372 | 3.0 | 5388 | 0.2595 | 0.8544 | 0.7572 | 0.7947 | 0.9174 |
Framework versions
- Transformers 4.29.2
- Pytorch 2.0.0+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3