---
language:
- vi
license: mit
base_model: FacebookAI/xlm-roberta-base
tags:
- generated_from_trainer
model-index:
- name: xlm-roberta-base_covid_ner_full
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# xlm-roberta-base_covid_ner_full

This model is a fine-tuned version of [FacebookAI/xlm-roberta-base](https://huggingface.co/FacebookAI/xlm-roberta-base) on the covid19_ner dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0709
- X: 0.9587
- F1 Macro: 0.9587
- F1 Micro: 0.9587

## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | X      | F1 Macro | F1 Micro |
|:-------------:|:-----:|:----:|:---------------:|:------:|:--------:|:--------:|
| 0.0949        | 1.0   | 629  | 0.0695          | 0.9338 | 0.9338   | 0.9338   |
| 0.0303        | 2.0   | 1258 | 0.0620          | 0.9500 | 0.9500   | 0.9500   |
| 0.0199        | 3.0   | 1887 | 0.0648          | 0.9570 | 0.9570   | 0.9570   |
| 0.0129        | 4.0   | 2516 | 0.0644          | 0.9584 | 0.9584   | 0.9584   |
| 0.0097        | 5.0   | 3145 | 0.0709          | 0.9587 | 0.9587   | 0.9587   |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.1.2
- Datasets 2.19.2
- Tokenizers 0.19.1