xlm-roberta-large-ner-mit-restaurant
This model is a fine-tuned version of FacebookAI/xlm-roberta-large on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2878
- Precision: 0.7946
- Recall: 0.8163
- F1: 0.8053
- Accuracy: 0.9207
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: 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: 3
Training results
Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
---|---|---|---|---|---|---|---|
0.5719 | 1.0 | 863 | 0.3267 | 0.7623 | 0.7970 | 0.7793 | 0.9081 |
0.2467 | 2.0 | 1726 | 0.2783 | 0.7990 | 0.8195 | 0.8092 | 0.9191 |
0.1811 | 3.0 | 2589 | 0.2897 | 0.8129 | 0.8348 | 0.8237 | 0.9237 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
- Downloads last month
- 6