---
language:
- vi
base_model: vinai/phobert-base-v2
tags:
- generated_from_trainer
model-index:
- name: phobert-base-v2_baseline_syllables
  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. -->

# phobert-base-v2_baseline_syllables

This model is a fine-tuned version of [vinai/phobert-base-v2](https://huggingface.co/vinai/phobert-base-v2) on the covid19_ner dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0934
- Patient Id: 0.9852
- Name: 0.9337
- Gender: 0.9489
- Age: 0.9644
- Job: 0.7601
- Location: 0.9449
- Organization: 0.8970
- Date: 0.9892
- Symptom And Disease: 0.8754
- Transportation: 1.0
- F1 Macro: 0.9299
- F1 Micro: 0.9455

## 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 | Patient Id | Name   | Gender | Age    | Job    | Location | Organization | Date   | Symptom And Disease | Transportation | F1 Macro | F1 Micro |
|:-------------:|:-----:|:----:|:---------------:|:----------:|:------:|:------:|:------:|:------:|:--------:|:------------:|:------:|:-------------------:|:--------------:|:--------:|:--------:|
| 0.4655        | 1.0   | 629  | 0.2020          | 0.9690     | 0.9276 | 0.8866 | 0.8962 | 0.0    | 0.9159   | 0.8135       | 0.9860 | 0.8368              | 0.9486         | 0.8180   | 0.9093   |
| 0.1235        | 2.0   | 1258 | 0.1219          | 0.9761     | 0.9125 | 0.9529 | 0.9642 | 0.0    | 0.9419   | 0.8810       | 0.9883 | 0.8545              | 0.9943         | 0.8466   | 0.9336   |
| 0.0713        | 3.0   | 1887 | 0.1015          | 0.9789     | 0.9355 | 0.9541 | 0.9699 | 0.7077 | 0.9428   | 0.8891       | 0.9878 | 0.8667              | 1.0            | 0.9232   | 0.9418   |
| 0.0502        | 4.0   | 2516 | 0.0950          | 0.9824     | 0.9291 | 0.9485 | 0.9657 | 0.7442 | 0.9455   | 0.8899       | 0.9865 | 0.8698              | 1.0            | 0.9262   | 0.9435   |
| 0.0405        | 5.0   | 3145 | 0.0934          | 0.9852     | 0.9337 | 0.9489 | 0.9644 | 0.7601 | 0.9449   | 0.8970       | 0.9892 | 0.8754              | 1.0            | 0.9299   | 0.9455   |


### Framework versions

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