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--- |
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tags: |
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- generated_from_trainer |
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datasets: |
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- cfilt/HiNER-original |
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metrics: |
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- precision |
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- recall |
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- f1 |
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model-index: |
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- name: HiNER-original-xlm-roberta-large |
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results: |
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- task: |
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name: Token Classification |
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type: token-classification |
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dataset: |
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type: cfilt/HiNER-original |
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name: HiNER Original |
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metrics: |
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- name: Precision |
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type: precision |
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value: 0.8968858782575971 |
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- name: Recall |
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type: recall |
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value: 0.8871207891308394 |
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- name: F1 |
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type: f1 |
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value: 0.8919766081871345 |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# HiNER-original-xlm-roberta-large |
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This model was trained from scratch on HiNER-original dataset. |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 3e-05 |
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- train_batch_size: 16 |
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- eval_batch_size: 8 |
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- seed: 1 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 10.0 |
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### Framework versions |
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- Transformers 4.14.0 |
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- Pytorch 1.9.1 |
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- Datasets 1.15.1 |
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- Tokenizers 0.10.3 |
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