---
base_model: vinai/bartpho-word-base
tags:
- generated_from_trainer
model-index:
- name: bartpho-word-base-ed
  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. -->

# bartpho-word-base-ed

This model is a fine-tuned version of [vinai/bartpho-word-base](https://huggingface.co/vinai/bartpho-word-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0119
- F1 Micro: 0.7414
- Recall Micro: 0.6649
- Precision Micro: 0.8378
- F1 Macro: 0.1869
- Recall Macro: 0.1816
- Precision Macro: 0.1949

## 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
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- 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 | F1 Micro | Recall Micro | Precision Micro | F1 Macro | Recall Macro | Precision Macro |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------------:|:---------------:|:--------:|:------------:|:---------------:|
| No log        | 1.0   | 373  | 0.0156          | 0.7286   | 0.6544       | 0.8219          | 0.1709   | 0.1813       | 0.1667          |
| 0.1321        | 2.0   | 746  | 0.0124          | 0.7387   | 0.6563       | 0.8448          | 0.1711   | 0.1599       | 0.1889          |
| 0.0134        | 3.0   | 1119 | 0.0126          | 0.7290   | 0.6488       | 0.8319          | 0.1842   | 0.1897       | 0.1866          |
| 0.0134        | 4.0   | 1492 | 0.0119          | 0.7490   | 0.6859       | 0.8248          | 0.1820   | 0.1644       | 0.2081          |
| 0.0105        | 5.0   | 1865 | 0.0119          | 0.7414   | 0.6649       | 0.8378          | 0.1869   | 0.1816       | 0.1949          |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1