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--- |
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license: mit |
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tags: |
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- generated_from_trainer |
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datasets: |
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- conll2003 |
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model_index: |
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- name: roberta-base-ner |
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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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name: conll2003 |
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type: conll2003 |
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args: conll2003 |
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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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# roberta-base-ner |
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This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the conll2003 dataset. |
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It achieves the following results on the evaluation set: |
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- eval_loss: 0.0814 |
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- eval_precision: 0.9101 |
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- eval_recall: 0.9336 |
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- eval_f1: 0.9217 |
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- eval_accuracy: 0.9799 |
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- eval_runtime: 10.2964 |
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- eval_samples_per_second: 315.646 |
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- eval_steps_per_second: 39.529 |
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- epoch: 1.14 |
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- step: 500 |
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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: 5e-05 |
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- train_batch_size: 32 |
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- eval_batch_size: 8 |
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- seed: 42 |
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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: 4.0 |
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### Framework versions |
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- Transformers 4.8.2 |
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- Pytorch 1.8.1+cu111 |
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- Datasets 1.8.0 |
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- Tokenizers 0.10.3 |
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