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--- |
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language: |
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- vi |
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license: mit |
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base_model: FacebookAI/xlm-roberta-base |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: xlm-roberta-base_covid_ner_full |
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results: [] |
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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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# xlm-roberta-base_covid_ner_full |
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This model is a fine-tuned version of [FacebookAI/xlm-roberta-base](https://huggingface.co/FacebookAI/xlm-roberta-base) on the covid19_ner dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0709 |
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- X: 0.9587 |
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- F1 Macro: 0.9587 |
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- F1 Micro: 0.9587 |
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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: 2e-05 |
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- train_batch_size: 8 |
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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: 5 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | X | F1 Macro | F1 Micro | |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:--------:|:--------:| |
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| 0.0949 | 1.0 | 629 | 0.0695 | 0.9338 | 0.9338 | 0.9338 | |
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| 0.0303 | 2.0 | 1258 | 0.0620 | 0.9500 | 0.9500 | 0.9500 | |
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| 0.0199 | 3.0 | 1887 | 0.0648 | 0.9570 | 0.9570 | 0.9570 | |
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| 0.0129 | 4.0 | 2516 | 0.0644 | 0.9584 | 0.9584 | 0.9584 | |
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| 0.0097 | 5.0 | 3145 | 0.0709 | 0.9587 | 0.9587 | 0.9587 | |
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### Framework versions |
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- Transformers 4.41.2 |
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- Pytorch 2.1.2 |
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- Datasets 2.19.2 |
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- Tokenizers 0.19.1 |
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