HiNER-original-xlm-roberta-large
This model was trained from scratch on HiNER-original dataset.
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: 3e-05
- train_batch_size: 16
- eval_batch_size: 8
- seed: 1
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10.0
Framework versions
- Transformers 4.14.0
- Pytorch 1.9.1
- Datasets 1.15.1
- Tokenizers 0.10.3
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Dataset used to train cfilt/HiNER-original-xlm-roberta-large
Evaluation results
- Precision on HiNER Originalself-reported0.897
- Recall on HiNER Originalself-reported0.887
- F1 on HiNER Originalself-reported0.892