finetuned-xlm-roberta-base-NER
This model is a fine-tuned version of xlm-roberta-base on the ncbi_disease dataset. It achieves the following results on the evaluation set:
- Loss: 0.0589
- Precision: 0.7974
- Recall: 0.8448
- F1: 0.8204
- Accuracy: 0.9805
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: 2
Training results
Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
---|---|---|---|---|---|---|---|
No log | 1.0 | 340 | 0.0809 | 0.6839 | 0.8698 | 0.7657 | 0.9723 |
0.1092 | 2.0 | 680 | 0.0589 | 0.7974 | 0.8448 | 0.8204 | 0.9805 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0
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Base model
FacebookAI/xlm-roberta-base
Finetuned
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Dataset used to train Pontonkid/finetuned-xlm-roberta-base-NER
Evaluation results
- Precision on ncbi_diseasetest set self-reported0.797
- Recall on ncbi_diseasetest set self-reported0.845
- F1 on ncbi_diseasetest set self-reported0.820
- Accuracy on ncbi_diseasetest set self-reported0.980